diff --git a/.gitattributes b/.gitattributes index 5ede0734..6449e03c 100644 --- a/.gitattributes +++ b/.gitattributes @@ -18,6 +18,9 @@ db/data/ons/oa21_wd24_lad24_lookup/ew_oa21_ward24_lad24_bestfit.csv -diff db/data/welshgov/council_tax_dwellings_2023_24_to_2026_27/statswales_council_tax_dwellings_by_authority_and_band.csv -diff db/data/hmrc/pension_contribution_relief_2023_24/Tables_6_1_and_6_2.csv -diff db/data/hmrc/winter_fuel_payment_charge_2025/winter-fuel-payments-charge.html -diff +db/data/ons/aps218_occupation_apr_2024_mar_2025/aps218_occupation_apr_2024_mar_2025.csv -diff +db/data/ons/aps218_occupation_jan_dec_2025/aps218_occupation_jan_dec_2025.csv -diff +db/data/ons/aps218_occupation_apr_2025_mar_2026/aps218_occupation_apr_2025_mar_2026.csv -diff # Preserve hash-pinned publisher bytes, including original line endings/spacing. db/data/stats_nz/subnational_population_estimates_2025/subnational-population-estimates-at-30-june-2025-provisional.xlsx binary db/data/stats_nz/regional_council_2025_codes/regional-council-2025-codes.json binary diff --git a/changelog.d/uk-occupation-facts-407.added.md b/changelog.d/uk-occupation-facts-407.added.md new file mode 100644 index 00000000..69c0bc0d --- /dev/null +++ b/changelog.d/uk-occupation-facts-407.added.md @@ -0,0 +1 @@ +Add the UK occupation facts chronicle#407 asks for (PolicyEngine/microcosm#1490). From Nomis APS218: people in employment by SOC 2020 major and sub-major group, sex and employment type, for the UK, its countries and the English regions, April 2024 to March 2025, January to December 2025 and April 2025 to March 2026, each estimate with the half-width of its confidence interval where Nomis publishes one, and Nomis's reliability flags in each fact's lineage. From ONS ASHE Table 2: gross weekly and annual pay (median, mean and percentiles) and the number of jobs by two-digit SOC 2020, sex and working pattern, United Kingdom, 2024 revised, 2025 revised and 2026 provisional, with the coefficients of variation ONS publishes for each. Suppressed cells emit no fact. The label register gives SOC 2020 major group 3 its SOC 2020 name, "Associate professional occupations". diff --git a/chronicle/bundle.py b/chronicle/bundle.py index daaed9f0..3f2d16ed 100644 --- a/chronicle/bundle.py +++ b/chronicle/bundle.py @@ -231,6 +231,9 @@ "obr-salary-sacrifice-costing-february-2026", "ofgem-energy-price-cap-levels-2024-2026", "ofgem-energy-price-cap-q1-2024", + "ons-aps218-occupation-apr-2024-mar-2025", + "ons-aps218-occupation-apr-2025-mar-2026", + "ons-aps218-occupation-jan-dec-2025", "ons-ashe-employee-contribution-bands-by-age-2024-full-pay", "ons-ashe-employee-contribution-bands-by-age-2024-qualifying-earnings", "ons-ashe-employee-contribution-bands-by-business-size-2024-full-pay", @@ -251,6 +254,18 @@ "ons-ashe-pension-membership-by-business-size-earnings-2024", "ons-ashe-pension-membership-by-industry-earnings-2024", "ons-ashe-pension-membership-by-occupation-earnings-2024", + "ons-ashe-table2-annual-pay-gross-2024-revised", + "ons-ashe-table2-annual-pay-gross-2025-revised", + "ons-ashe-table2-annual-pay-gross-2026-provisional", + "ons-ashe-table2-annual-pay-gross-cv-2024-revised", + "ons-ashe-table2-annual-pay-gross-cv-2025-revised", + "ons-ashe-table2-annual-pay-gross-cv-2026-provisional", + "ons-ashe-table2-weekly-pay-gross-2024-revised", + "ons-ashe-table2-weekly-pay-gross-2025-revised", + "ons-ashe-table2-weekly-pay-gross-2026-provisional", + "ons-ashe-table2-weekly-pay-gross-cv-2024-revised", + "ons-ashe-table2-weekly-pay-gross-cv-2025-revised", + "ons-ashe-table2-weekly-pay-gross-cv-2026-provisional", "ons-census2021-rm120-lad-residence1-sex0", "ons-census2021-rm120-lad-residence1-sex1", "ons-census2021-rm120-lad-residence1-sex2", diff --git a/chronicle/dimension_values/canonical_labels.json b/chronicle/dimension_values/canonical_labels.json index 77c9273f..fabc0ca4 100644 --- a/chronicle/dimension_values/canonical_labels.json +++ b/chronicle/dimension_values/canonical_labels.json @@ -78,6 +78,7 @@ "salary_sacrifice_threshold_position=all", "sex=female", "sex=male", + "soc2020_major_group=3", "us:statutes/26/62#adjusted_gross_income=all", "us:statutes/26/62#adjusted_gross_income=under_1" ] @@ -7140,6 +7141,18 @@ "earnings_denominator": { "fte": "Full-time equivalent employees (FTEs)" }, + "earnings_percentile": { + "10": "10", + "20": "20", + "25": "25", + "30": "30", + "40": "40", + "60": "60", + "70": "70", + "75": "75", + "80": "80", + "90": "90" + }, "earnings_sector": { "all_sectors": "All sectors" }, @@ -7172,6 +7185,11 @@ "8% to < 10%": "8% to < 10%", "Under 4%": "Under 4%" }, + "employment_status": { + "all": "All in employment", + "employee": "Employees", + "self_employed": "Self-employed" + }, "family_type": { "Couple, no children": "Couple, no children", "Couple, with children": "Couple, with children", @@ -8207,10 +8225,48 @@ "slc.repayment_plan": { "net_repayments": "Net repayments posted during the financial year" }, + "soc2020_group": { + "all": "All occupations", + "soc_1": "Managers, directors and senior officials", + "soc_11": "Corporate managers and directors", + "soc_12": "Other managers and proprietors", + "soc_2": "Professional occupations", + "soc_21": "Science, research, engineering and technology professionals", + "soc_22": "Health professionals", + "soc_23": "Teaching and other educational professionals", + "soc_24": "Business, media and public service professionals", + "soc_3": "Associate professional occupations", + "soc_31": "Science, engineering and technology associate professionals", + "soc_32": "Health and social care associate professionals", + "soc_33": "Protective service occupations", + "soc_34": "Culture, media and sports occupations", + "soc_35": "Business and public service associate professionals", + "soc_4": "Administrative and secretarial occupations", + "soc_41": "Administrative occupations", + "soc_42": "Secretarial and related occupations", + "soc_5": "Skilled trades occupations", + "soc_51": "Skilled agricultural and related trades", + "soc_52": "Skilled metal, electrical and electronic trades", + "soc_53": "Skilled construction and building trades", + "soc_54": "Textiles, printing and other skilled trades", + "soc_6": "Caring, leisure and other service occupations", + "soc_61": "Caring personal service occupations", + "soc_62": "Leisure, travel and related personal service occupations", + "soc_63": "Community and civil enforcement occupations", + "soc_7": "Sales and customer service occupations", + "soc_71": "Sales occupations", + "soc_72": "Customer service occupations", + "soc_8": "Process, plant and machine operatives", + "soc_81": "Process, plant and machine operatives", + "soc_82": "Transport and mobile machine drivers and operatives", + "soc_9": "Elementary occupations", + "soc_91": "Elementary trades and related occupations", + "soc_92": "Elementary administration and service occupations" + }, "soc2020_major_group": { "1": "Managers, directors and senior officials", "2": "Professional occupations", - "3": "Associate professional and technical occupations", + "3": "Associate professional occupations", "4": "Administrative and secretarial occupations", "5": "Skilled trades occupations", "6": "Caring, leisure and other service occupations", @@ -8218,6 +8274,34 @@ "8": "Process, plant and machine operatives", "9": "Elementary occupations" }, + "soc2020_sub_major_group": { + "11": "Corporate managers and directors", + "12": "Other managers and proprietors", + "21": "Science, research, engineering and technology professionals", + "22": "Health professionals", + "23": "Teaching and other educational professionals", + "24": "Business, media and public service professionals", + "31": "Science, engineering and technology associate professionals", + "32": "Health and social care associate professionals", + "33": "Protective service occupations", + "34": "Culture, media and sports occupations", + "35": "Business and public service associate professionals", + "41": "Administrative occupations", + "42": "Secretarial and related occupations", + "51": "Skilled agricultural and related trades", + "52": "Skilled metal, electrical and electronic trades", + "53": "Skilled construction and building trades", + "54": "Textiles, printing and other skilled trades", + "61": "Caring personal service occupations", + "62": "Leisure, travel and related personal service occupations", + "63": "Community and civil enforcement occupations", + "71": "Sales occupations", + "72": "Customer service occupations", + "81": "Process, plant and machine operatives", + "82": "Transport and mobile machine drivers and operatives", + "91": "Elementary trades and related occupations", + "92": "Elementary administration and service occupations" + }, "spdeps": { "SPR": "SPR" }, @@ -8242,6 +8326,8 @@ "unemployment": "Unemployment" }, "statistic": { + "coefficient_of_variation": "Coefficient of variation", + "confidence_interval_half_width": "Confidence interval half-width", "estimate": "Estimate", "margin_of_error": "Margin of error", "mean": "Mean", @@ -8559,6 +8645,11 @@ }, "welshgov.geography_row": { "wales": "Wales" + }, + "working_pattern": { + "all": "Full-time and part-time", + "full_time": "Full-time", + "part_time": "Part-time" } } } diff --git a/chronicle/source_package.py b/chronicle/source_package.py index 91f82cd9..09db682f 100644 --- a/chronicle/source_package.py +++ b/chronicle/source_package.py @@ -521,6 +521,52 @@ "ons/employee_workplace_pensions_summary_2024" ), # end chronicle#302 + # chronicle#407 (PolicyEngine/microcosm#1490): APS employment by occupation and + # ASHE Table 2 earnings by two-digit SOC 2020. + "ons-aps218-occupation-apr-2024-mar-2025": Path( + "ons/aps218_occupation_apr_2024_mar_2025" + ), + "ons-aps218-occupation-jan-dec-2025": Path("ons/aps218_occupation_jan_dec_2025"), + "ons-aps218-occupation-apr-2025-mar-2026": Path( + "ons/aps218_occupation_apr_2025_mar_2026" + ), + "ons-ashe-table2-weekly-pay-gross-2024-revised": Path( + "ons/ashe_table2_weekly_pay_gross_2024_revised" + ), + "ons-ashe-table2-weekly-pay-gross-cv-2024-revised": Path( + "ons/ashe_table2_weekly_pay_gross_cv_2024_revised" + ), + "ons-ashe-table2-annual-pay-gross-2024-revised": Path( + "ons/ashe_table2_annual_pay_gross_2024_revised" + ), + "ons-ashe-table2-annual-pay-gross-cv-2024-revised": Path( + "ons/ashe_table2_annual_pay_gross_cv_2024_revised" + ), + "ons-ashe-table2-weekly-pay-gross-2025-revised": Path( + "ons/ashe_table2_weekly_pay_gross_2025_revised" + ), + "ons-ashe-table2-weekly-pay-gross-cv-2025-revised": Path( + "ons/ashe_table2_weekly_pay_gross_cv_2025_revised" + ), + "ons-ashe-table2-annual-pay-gross-2025-revised": Path( + "ons/ashe_table2_annual_pay_gross_2025_revised" + ), + "ons-ashe-table2-annual-pay-gross-cv-2025-revised": Path( + "ons/ashe_table2_annual_pay_gross_cv_2025_revised" + ), + "ons-ashe-table2-weekly-pay-gross-2026-provisional": Path( + "ons/ashe_table2_weekly_pay_gross_2026_provisional" + ), + "ons-ashe-table2-weekly-pay-gross-cv-2026-provisional": Path( + "ons/ashe_table2_weekly_pay_gross_cv_2026_provisional" + ), + "ons-ashe-table2-annual-pay-gross-2026-provisional": Path( + "ons/ashe_table2_annual_pay_gross_2026_provisional" + ), + "ons-ashe-table2-annual-pay-gross-cv-2026-provisional": Path( + "ons/ashe_table2_annual_pay_gross_cv_2026_provisional" + ), + # end chronicle#407 # chronicle#343: high-value housing facts for the UK local calibration (the # Price Paid, UK HPI and NSPL releases are raw-only registrations, not packages). "obr-hvcts-costing-april-2026": Path("obr/hvcts_costing_april_2026"), diff --git a/db/data/ons/aps218_occupation_apr_2024_mar_2025/aps218_occupation_apr_2024_mar_2025.csv b/db/data/ons/aps218_occupation_apr_2024_mar_2025/aps218_occupation_apr_2024_mar_2025.csv new file mode 100644 index 00000000..50b9c991 --- /dev/null +++ b/db/data/ons/aps218_occupation_apr_2024_mar_2025/aps218_occupation_apr_2024_mar_2025.csv @@ -0,0 +1,9073 @@ +"DATE_NAME","GEOGRAPHY_CODE","GEOGRAPHY_NAME","C_SEX_NAME","ETYPE_NAME","FTPT_NAME","JTYPE_NAME","SOC2020_FULL_NAME","MEASURE_NAME","MEASURES_NAME","OBS_VALUE","OBS_STATUS","OBS_STATUS_NAME" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Value",32997500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Confidence",239700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3648300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",79700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2505400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",66000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",1142900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",44600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",8778400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",123600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2607700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",67400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1679700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",54100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1702400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",54400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2788700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",69700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4941200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",92800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",610700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",32600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",821500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",37800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",428300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",27300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",749900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",36100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2330800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",63700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3070800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",73100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",2561100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",66800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",509700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",29800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",2852900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",70500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",339600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1011800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",42000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",934500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",40300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",566900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",31400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2859000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",70600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2269800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",62900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",568700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",31500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",20400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1950100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",58300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",1466600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",50500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",483500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",29000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1869000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",57000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",698800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",34900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1170300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",45100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",2985100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",72100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",366000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",25200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2619100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",67500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Value",17225200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Confidence",173200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",2274800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",62900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",1582900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",52500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",691900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",34700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Total","Total","Total","2 : Professional 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Occupations","Count","Value",2100500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",60500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",160000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",610600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",32600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",128000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",150100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1051800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",42800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2150000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",61200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1703100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",54500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",447000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",27900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",214300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",29000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",14900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",154400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1906000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",57600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1675900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",54000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",224800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1110400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",44000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",825000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",37900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",285400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",195800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",137700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",58100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1287400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",47300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",77400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1209900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",45900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Value",4463200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Confidence",88200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",626700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",33000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",342200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",284600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",881300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",39200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",225800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",177100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",134700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",343600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",24500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",691600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",27000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",67900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",410000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",179800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",118400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",96300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",1041600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",42600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",206800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",161600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",565500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",31400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",107700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",359000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",25000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",185200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",173900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",127300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",118200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",374600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",25500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",82200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",292400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",22600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",240300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",73300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",166900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Value",2903800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Confidence",71100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",420100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",27000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",254000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",166100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",535000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",30500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",188500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",64900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",49000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",232500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",373300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",225000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",105500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",26200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",25900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",940700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",40500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",169700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",158100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",551800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",31000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",61100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",62200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",72000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",68300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",336800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",65700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",271100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",135000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",69700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",65300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Value",1559400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Confidence",52100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",206600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",88200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",118400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",346300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",37300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",112200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",85700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",111100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",318300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",54700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",185000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",74400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",92200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",70400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",21800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",100900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",37200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",46600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",296900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",150200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",146700,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",55200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",49900,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",37800,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",21400,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",105200,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",101600,"A","Normal Value" +"Apr 2024-Mar 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","Total","Count","Value",27942200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","Total","Count","Confidence",233700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3193700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",79000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2214900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",65800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",978800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",43700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",7538800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",121400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2262100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",66500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1391300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",52200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1469000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",53600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2416400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",68700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4242700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",91100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",508800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",31500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",690900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",36800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",361300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",26600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",657300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",35900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2024400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",62900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2556700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",70700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Total","Total","Total","41 : Administrative 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Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",580100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",33700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",425600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",154400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1061700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",45600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",374500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",27100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",687200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",36700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1201400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",48500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",165700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1035800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",45000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","Total","Count","Value",11926600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","Total","Count","Confidence",152700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",1023900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",44700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",738600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",38000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",285300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",3400800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",81500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",517400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",31800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",942000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",42900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",893300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",41800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1048100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",45300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",1797200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",59300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",133700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",514300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",31700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",112800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",134100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",902400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",42000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1798000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",59300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1416300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",52600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",381700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",27300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",178100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",130000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1566500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",55300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1371400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",51800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",190100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",897900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",41900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",665200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",232600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",163600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",113300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",50300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1086000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",46100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",68600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1017400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",44600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Value",3848000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Confidence",86700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",537100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",301300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",235700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",782600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",39100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",199700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",151600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",123400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",307900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",24500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",602600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",60300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",356000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",158100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",106200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",86100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",870600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",41300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",157300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",135600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",490100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",31000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",87700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",304000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",154700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",149300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",106900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",98800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",333000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",25500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",72600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",260400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",22600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",203300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",146300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Value",2496200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Confidence",69900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",363500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",225700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",137800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",473000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",30400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",167300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",54800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",44800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",206100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",322100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",194000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",91700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",784500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",126900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",132300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",477600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",30600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",47600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",59100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",56000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",303200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",59100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",244100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",113700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",55400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",58300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Value",1351800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Confidence",51400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",173600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",75700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",97900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",309600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",96900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",78600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",280500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",49300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",162000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",66400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",81900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",62200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",86100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",40000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",252900,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",125800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",127200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",47800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",42800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",29800,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",89600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",88000,"A","Normal Value" +"Apr 2024-Mar 2025","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Value",1474600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Confidence",37000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",152500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",98900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",53600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",343500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",92800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",82300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",65400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",103100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",222600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",31700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",44900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",29400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",95900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",150800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",132500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",18300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",139100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",52200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",45000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",22800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",132900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",112600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",101900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",71600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",85600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",39400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",46300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",144500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",21800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",122700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","Total","Count","Value",768800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","Total","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",95500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",61900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",33600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",163800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",72400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",55800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",112500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",21100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",47500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",41000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",123500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",51200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",44100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",31400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",23600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",28000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",74000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",43100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",84500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",66600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","Total","Count","Value",705800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","Total","Count","Confidence",25600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",57000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",37000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",19900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",179700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",20400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Value",65500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",46500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",47300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",110200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",48300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",107400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",91400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",101500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",89000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",62700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",43600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",60000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",56100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Value",1293100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Confidence",34600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",123400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",85800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",37600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",313100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",83900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",76100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",60800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",92300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",196700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",29700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",41800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",90000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",144800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",127800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",17000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",90800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",43500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",119600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",104100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",96700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",66700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",30000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",75400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",37000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",38400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",131600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",114800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Value",654400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",78000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",53600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",24400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",145800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",65300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",17400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",47900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",97500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",44000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",42100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",81700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",42400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",23700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",29500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",22500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",35900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",25000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",65900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",77000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",63400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Value",638700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",45400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",32200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",167200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",60800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",44400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",99200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",33400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",46100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",102600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",88000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",90000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",81600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",60800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",41800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",51400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Value",175000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",27800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",29700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",47400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Value",111200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",17300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",14900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",41500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Value",63800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",11100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1300,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",1400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Value",2665100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Confidence",58400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",223600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",146900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",76700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",678300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",29500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",194300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",153500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",125100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",205500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",382200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",54200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",72600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",39700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",166900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",250300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",207800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",42500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",252700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",33800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",86400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",77300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",55100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",266200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",217300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",48400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",177600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",136700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",40900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",163200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",65900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",97200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",266500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",34000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",232600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Value",1351200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Confidence",41600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",138400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",95600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",42800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",314000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",20100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",140000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",29100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",103900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",190300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",41300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",30400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",25800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",78600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",67700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",61500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",227200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",81900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",75800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",59000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",40500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",63000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",143000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",88600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",145100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",114500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Value",1313900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Confidence",41000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",85200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",51300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",33900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",364300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",54200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",124400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",84100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",191900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",88300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",182600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",146300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",36300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",25500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",207100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",176800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",114600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",86900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",27700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",121400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",118100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Value",2344200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Confidence",54800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",177800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",124400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",53300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",629900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",28400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",182300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",139900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",120200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",187500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",330000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",51600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",67400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",39300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",154900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",242800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",201300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",41500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",175400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",77900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",43700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",234600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",199100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",35000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",165200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",124300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",40900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",139100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",60600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",245300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",220200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Value",1144500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Confidence",38300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",109000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",79800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",29200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",283400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",130100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",23100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",38700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",91400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",161100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",39900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",29900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",71200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",66700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",60700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",155700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",73500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",29800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",56600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",123900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",72900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",134000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",111100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Value",1199700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Confidence",39200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",68800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",44600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",24200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",346500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",52200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",116700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",81500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",96100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",168900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",54500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",83800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",176100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",140600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",19600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",183600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",163700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",108600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",80900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",27700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",15200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",111300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",109200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Value",311000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",20800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",23100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",48300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",12000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",51700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",31900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",12000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",75700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",31000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",18700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Value",200200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",27800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",30500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",9900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",69800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",35800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Value",110800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",17800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Value",915600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Confidence",29100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",78500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",44700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",33800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",217800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",58500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",52700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",42900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",63600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",93600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",43700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",113000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",96800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",108900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",20800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",39900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",91400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",73200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",77000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",60200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",16900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",57400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",29400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",27900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",77100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",59300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Value",483100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Confidence",21200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",50800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",30300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",20500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",103600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",44500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",53800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",39000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",38200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",98500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",33600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",49000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",22100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",26800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",39000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",26100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Value",432500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",27700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",114100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",42100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",29800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",28200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",8600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",20700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",74000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",58700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",76100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",64500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",38100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",33300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Value",784500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Confidence",27000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",60600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",37100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",23400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",197200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",52900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",47000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",56300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",81500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",15500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",39600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",112300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",96300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",61000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",79300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",67500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",72800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",56800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",27300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",22500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",69300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",57200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Value",386600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",38700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",14500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",89500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",39900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",29100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",46300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",20000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",39000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",38200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",53500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",29700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",29800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",42300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",20300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",22000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",33800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",25200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Value",397900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",21900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",13000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",107700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",39100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",28400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",35200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",19500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",73300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",58100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",65900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",59200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",43000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",37000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",32000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Value",129200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",20600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",12000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",47900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Value",96200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",44900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","Total","Count","Value",1196400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","Total","Count","Confidence",36400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",96900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",57600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",39300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",288900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",81600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",69700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",60500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",77100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",186400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",24400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",89600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",110900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",96700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",112300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",48500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",31100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",114800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",93000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",79600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",54400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",81900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",35900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",45900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",123400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",106300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","Total","Count","Value",603300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","Total","Count","Confidence",25900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",56900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",33900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",138900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",64300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",40000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",90000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",42900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",29600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",29100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",101600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",47300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",71800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",27400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",44400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",62200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",49000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","Total","Count","Value",593100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","Total","Count","Confidence",25600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",40000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",150000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",54500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",41100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",37200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",96500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",26500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",46700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",81200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",67600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",91000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",76900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",52400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",61200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",57300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Value",1068600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Confidence",34400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",80800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",50500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",30300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",272400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",77500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",65700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",58300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",70900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",165800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",22500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",83800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",107100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",92900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",76100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",40000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",104300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",87300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",77200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",51900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",69500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",114300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",99500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","Total","Count","Value",524200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","Total","Count","Confidence",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",49200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",127000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",60200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",80100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",28600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",28100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",69900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",22900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",26200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",60500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",24900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",58800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",47800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","Total","Count","Value",544400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","Total","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",31600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",145500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",52300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",85700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",44700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",78500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",64800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",81500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",71600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",35700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",55500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",51600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Value",126100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",35800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Value",78500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Value",47600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","Total","Count","Value",3475600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","Total","Count","Confidence",77800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",348600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",227000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",121600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",899500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",39600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",265200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",183900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",183500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",266800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",497000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",29400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",64400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",93200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",65600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",230500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",326400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",281700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",44700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",286800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",27600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",104100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",65100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",322500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",264800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",55200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",227700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",168100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",59600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",217200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",87200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",130000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",340300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",46200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",294200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","Total","Count","Value",1789200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","Total","Count","Confidence",55800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",216400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",142500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",73800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",438800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",27700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",194100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",53300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",61300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",130100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",246400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",47000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",23300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",28100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",43500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",104400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",90100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",84900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",258600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",101300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",87700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",43900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",77900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",59700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",88700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",69000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",184200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",60400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",123700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",183300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",33400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",150000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","Total","Count","Value",1686400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","Total","Count","Confidence",54200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",132200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",84500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",47800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",460600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",28300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",71000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",130600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",122200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",136700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",250600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",69900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",126100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",236300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",196800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",39500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",28300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",244600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",205100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",38800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",138900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",99100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",39900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",33100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",157000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",144200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Value",3067600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Confidence",73100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",296600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",201800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",94800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",828100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",38000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",245900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",168400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",173300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",240500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",446000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",27900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",62100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",85600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",43000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",216600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",310500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",268500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",42000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",194100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",87300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",53300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",286100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",246400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",37300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",214000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",154700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",59300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",164300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",77700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",86600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",318900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",279800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","Total","Count","Value",1514800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","Total","Count","Confidence",51400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",180800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",125000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",55800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",392500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",177600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",46000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",57300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",111500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",218700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",45000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",27700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",28100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",95800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",84500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",79400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",173600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",85200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",34800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",72300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",56400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",82800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",63100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",135400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",81100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",169900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",143500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","Total","Count","Value",1552800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","Total","Count","Confidence",52000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",115800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",76800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",39000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",435600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",27500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",68200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",122300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",116000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",129000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",227300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",63600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",120800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",226000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",189200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",36800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",213900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",190000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",131200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",91600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",39600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",28900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",149000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",136200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Value",402600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Confidence",26500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",50900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",71100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",26300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",50200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",92100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",49900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",52400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",43200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Value",271900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Confidence",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",35000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",46100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",27000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",84400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",47500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",48800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",42700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Value",130700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",29900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Value",2597700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Confidence",65500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",249800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",167600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",82200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",628800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",32200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",176400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",133300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",124100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",195000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",365000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",53200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",66400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",44000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",172600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",242800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",205900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",36900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",242300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",94200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",76100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",50100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",234900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",186300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",47300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",150900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",111200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",187500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",71300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",116200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",293900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",43300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",250600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Value",1368400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Confidence",47500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",160900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",110600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",50300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",303300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",128000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Value",33800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",41300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",100100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",185700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",41700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",65800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",64600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",222300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",92300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",73700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",36700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",58200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",43000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",161800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",53800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",108000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",158300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",125400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Value",1229300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Confidence",45000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",88900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",57000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",31900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",325500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",48400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Value",99400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",82800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",94900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",179400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",52100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",85200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",176900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",141400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",183900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",150800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",92800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",68200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",135600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",125300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Value",2273400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Confidence",61300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",201900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",143300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",58600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",580400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",164700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",121500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",118000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",176200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",324700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",51900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",59700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",28300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",162500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",233600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",198000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",160700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",81100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",41900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",201900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",167700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",139000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",100700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",154500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",64700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",89800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",274900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",38500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",236300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Value",1152200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Confidence",43600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",131900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",92500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",39400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",272100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",117300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",27500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",87600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",166200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",41000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",82700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",63000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",61700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",146700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",79400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",44600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",30500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",48900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",35200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",48100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",83700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",145700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",117400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Value",1121200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Confidence",43000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",70000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",50900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",308200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",22600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",47500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",93900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",78200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",88600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",158500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",46600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",79800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",170600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",136300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",157300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",137200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",90100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",65500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",129200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",118900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Value",317600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Confidence",22900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",47100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",48100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",38800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",81500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",46800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",31500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Value",211700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Confidence",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",75500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",45200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",29900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Value",105900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",26200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Value",2346800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Confidence",70500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",252000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",162800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",89200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",536000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",33700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",162000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",109200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",121900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",143000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",348300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",44900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",68000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",33700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",47800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",154000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",219200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",186200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",218300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",100200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",58300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",37600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",213800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",162500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",50800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",145000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",103900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",41100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",177100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",74100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",103000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",236200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",205300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Value",1234800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Confidence",51100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",163800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",108200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",55600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",270200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",129800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",38900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",77200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",163700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",34600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",73600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",55800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",52900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",194300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",98400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",56000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",36900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",57900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",40800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",154700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",59200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",95600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",121700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",98200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Value",1111900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Confidence",48500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",88100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",33500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",265800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",32100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",84900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",83000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",65700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",184700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",56700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",80400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",163400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",133300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",30100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",162100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",125500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",36000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",87100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",63000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",114500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",107100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Value",2064600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",66100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",215000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",140900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",74100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",477200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",31800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",144200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",98500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",112100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",122500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",316100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",43200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",64000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",33400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",27900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",147600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",205800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",174300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",31600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",157400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",84500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",32800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",182900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",148300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",34100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",137700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",96600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",41100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",150500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",68500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",82000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",221000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",195600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Value",1058000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Confidence",47300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",137500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",90500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",47000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",234000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",113800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",34300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",64400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",149200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",70000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",51700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",48800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",139300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",82700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",26600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",47100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",54100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",37000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",76900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",112700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",94800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Value",1006600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Confidence",46200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",77600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",50500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",27100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",243200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",30400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",77000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",77800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",58000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",166800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",53100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",77500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",154100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",125400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",28700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",135800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",115500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",83600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",59600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",108300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",100900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",275800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",24200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",36400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",58400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",32300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",60600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",20400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Value",173400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",35800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",54700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Value",102300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",22600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",26200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Value",2828900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Confidence",75800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",279600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",185700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",93900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",714100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",38100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",210400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",147800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",143700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",212300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",413500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",29000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",82100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",45000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",41400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",190400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",269300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",224900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",44400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",261500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",97100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",81700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",51400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",253000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",212200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",37900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",157900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",118100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",183200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",73400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",109800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",290900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",258100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Value",1481000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Confidence",54800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",176400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",121200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",55200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",361500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",27100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",168300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",40600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",109500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",218100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",38200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",110700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",66100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",63600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",231400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",93000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",78800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",35400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",50900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",53800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",41900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",164100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",59300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",104800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",154100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",130600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Value",1347900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Confidence",52300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",103200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",64500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",38700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",352600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",42100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",107200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",100500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",102800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",195400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",71100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",79700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",203200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",161400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",41900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",30200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",202000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",178000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",104100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",76200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",27900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",136800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",127500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Value",2476600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",70900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",226800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",155600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",71200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",643600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",189900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",132100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",131500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",190100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",366200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",27300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",74500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",44300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",176300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",263200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",219900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",21100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",43300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",167000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",84900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",230700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",203400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",147900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",108600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",39300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",147800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",68600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",79200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",277400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",248200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Value",1241500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Confidence",50200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",139300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",96000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",43400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",318700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",149000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",34800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",95700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",190800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",35900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",34300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",102400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",65300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",62800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",147800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",80800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",47000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",48300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",36400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",76600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",148100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",127700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Value",1235100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Confidence",50100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",87500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",59600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",27900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",324800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",40900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",97300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",92200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",94400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",175400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",66200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",73800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",197900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",157100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",40800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",183700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",170300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",99600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",72200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",27400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",129300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",120500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",343900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",52000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",69400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",45600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",92900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",51300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",35400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",30600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Value",235600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",21900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",36600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",24700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",41700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",83100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Value",108300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",27700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","Total","Count","Value",3155600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","Total","Count","Confidence",87300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",365800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",29700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",266600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",99200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",816300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",44400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",244000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",146500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",166000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",259800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",494700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",63100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",75100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",56100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",61200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",239200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",325700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",28100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",275500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",25800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",50200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",278900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",26000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",38500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",103200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",91300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",45800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",247000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",200500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",45500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",178200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",141500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",36700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",176800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",55100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",121600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",268900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",25500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",243500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","Total","Count","Value",1654000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","Total","Count","Confidence",63200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",228300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",23500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",168100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",60300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",414000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",31600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",183000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",59000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",137200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",260200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",49600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",28900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",129300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",75900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",74300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",255200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",24800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",31300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",102200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",89000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",48300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",77100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",61200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",158100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",44000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",114100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",134600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","Total","Count","Value",1501700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","Total","Count","Confidence",60200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",137500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",98600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",38900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",402300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",31200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",61000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",111600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",107000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",122600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",234500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",32300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",109900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",249800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",201100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",198700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",164900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",33800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",101000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",80300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",134200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",126900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","Total","Count","Value",2699900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","Total","Count","Confidence",80800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",313200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",27500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",232900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",80400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",734000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",42100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",222700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",131800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",152400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",227100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",418600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",31800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",58100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",67200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",54500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",220900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",310700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",27400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",262000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",25200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",159200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",83300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",25800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",216000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",180300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",34700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",161700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",125500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",141100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",42700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",98400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",241900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",24200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",222700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","Total","Count","Value",1354400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","Total","Count","Confidence",57200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",194300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",142500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",51800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",361900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",29600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",166000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",30200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",53600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",112100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",219100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",45300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",37600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",118500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",73500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",72000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",143900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",82300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",23500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",42300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",32300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",69000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",53000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",127000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",34400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",92700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",121400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",108900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","Total","Count","Value",1345500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","Total","Count","Confidence",57000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",119000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",90400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",28600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",372000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",56700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",101600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",98800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",115000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",199500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",55800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",102400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",237200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",190000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",47200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",173700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",148000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",92700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",72500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",120500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",113800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Value",444600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Confidence",32800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",49600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",30800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",82400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",32700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",72100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",41700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",119300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",65500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",30200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",26300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Value",293100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Confidence",26600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",32300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",52100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",37900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",111400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",65500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",30400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",21400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Value",151500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Confidence",19100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",30200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","Total","Count","Value",4838500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","Total","Count","Confidence",127200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",675900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",47500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",513400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",41400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",162500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",23300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1632700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",73900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",473700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",39800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",248100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",251500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",29000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",659500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",47000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",815100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",52200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",63800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",96700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",37300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",208500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",26400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",408800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",37000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",379700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",35600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",303800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",31900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",75900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",250400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",28900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",55400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",108400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",72900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",341800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",33800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",257400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",80600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",236800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",28100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",168900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",67900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",172500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",139500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",325600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",303300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",31800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","Total","Count","Value",2612900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","Total","Count","Confidence",93500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",418100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",37400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",308300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",32100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",109700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",869000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",53900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",346700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",34100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Value",69100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",97200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",355900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",34500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",438300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",38300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",40800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",131900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",225300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",27400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",124300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",116100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",214800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",53400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",103700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",45200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",100300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",59900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",36600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",107800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",76100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",31700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",150300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",25300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",125000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",20400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",185900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",24900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",170900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","Total","Count","Value",2225600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","Total","Count","Confidence",86300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",257900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",29400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",205100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",26200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",52800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",763700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",50500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",126900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Value",178900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",24500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",154200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",303600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",31900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",376900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",35500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",83200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",76600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",183400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",24800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",255400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",29200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",187700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",67700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",35600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",27600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",241500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",28400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",197500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",44000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",129100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",20800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",92800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",36200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",139700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",132400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",21000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","Total","Count","Value",3998700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","Total","Count","Confidence",115600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",553700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",43000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",432400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",38000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",121300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1415200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",68800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",420600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",37500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",212300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",26600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",220400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",27100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",561900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",43300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",636600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",46100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",60300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",86900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",36700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",88100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",364600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",363600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",292000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",31200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",71700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",140000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",44700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",57900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",274800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",30300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",219000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",27100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",52000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",213600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",149200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",64400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",102600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",18700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",83900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",291800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",31200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",276800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",30400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","Total","Count","Value",2062000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","Total","Count","Confidence",83000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",323200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",32900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",245500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",28700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",77700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",733900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",49500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",305300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",32000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",82400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",291500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",31200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",326400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",199200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",25800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",120400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",112200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",116600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",43600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",86700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",52200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",97800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",66200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",31700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",84700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",72500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",169200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",161400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","Total","Count","Value",1936700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","Total","Count","Confidence",80500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",230400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",27800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",186800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",43600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",681300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",47700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",115300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",157700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",138000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",270300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",30100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",310200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",32200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",74000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",165400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",243200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",28500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",179800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",24500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",63500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",188100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",166800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",115700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",83000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",32800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",122700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",115400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Value",818100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Confidence",52300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",119600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",78400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",41200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",212100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",26600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",51200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",34900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",95400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",173000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",118900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",42000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",108500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",73400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",66100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",37500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",28600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",20600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",69900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",55600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",33500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",26300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Value",536400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Confidence",42400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",92300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",60300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",32000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",130400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",40300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",62100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",110100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",80000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",96900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",70600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",65600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",52500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Value",281700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Confidence",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",81700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",33300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",62800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",53400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",30700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","Total","Count","Value",4694400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","Total","Count","Confidence",92600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",602400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",33200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",415500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",27600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",186900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1299400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",48700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",414900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",27500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",217300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",19900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",274300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",392900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",713300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",89100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",107300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",59800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",105200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",352000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",452500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",353300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",99200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",405500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",60800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",130500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",138400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",75700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",394100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",300600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",91600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",257900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",202000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",55900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",214400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",72200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",142200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",352400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",38100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",314300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","Total","Count","Value",2435900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","Total","Count","Confidence",66700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",368800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",260900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",107900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",670700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",35000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",317300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",52800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",90500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",210100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",19600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",360200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",63300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",43300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",44200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",189300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",105100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",99800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",349500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",25300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",125800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",131600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",42300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",91400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",55300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",35100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",113500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",89800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",190100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",58200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",131900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",186100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",153900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","Total","Count","Value",2258600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","Total","Count","Confidence",64200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",233600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",154600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",79000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",628700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",33900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",97600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",164600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",183800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",182800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",353100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",87300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",60900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",162600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",347300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",253500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",93900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",55900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",33400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",302600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",245200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",56500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",144400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",112200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",32200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",166300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",160400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Value",4017800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Confidence",85700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",503100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",30300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",361900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",25700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",141200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1163800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",46100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",383500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",26500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",188900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",249400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",21300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",341900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",603700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",33200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",85800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",95700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",58400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",46500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",317300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",423600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",27800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",333000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",24700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",90600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",251000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",29700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",107500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",53400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",60300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",346000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",275200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",68900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",238100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",183600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",54500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",169300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",61000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",108300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",316700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",288200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","Total","Count","Value",2023700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","Total","Count","Confidence",60800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",305400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",223000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",82400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",595800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",33000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",289800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",44700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",85000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",176200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",311500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",60900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",41900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",170400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",99700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",94400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",213900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",102800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",49400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",36100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",82200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",31500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",99100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",76300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",150000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",49800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",100200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",165700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",142700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","Total","Count","Value",1994100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","Total","Count","Confidence",60400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",197700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",138900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",58800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",568000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",32200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",93800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",144200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",164400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",165600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",292200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",77900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",146900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",323900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",238600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",85200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",24200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",263800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",225400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",37400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",139000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",107300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",31700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",151000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",145500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Value",657600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Confidence",34700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",94900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",51300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",43600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",134300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",31000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",28400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",24900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",50100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",108500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",58200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",34500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",24600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",154000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",85000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",46200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",25000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",21100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",44500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",33900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",34500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Value",403700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Confidence",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",60700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",36900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",73600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",32900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",135400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",24000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",23000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",82200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",39700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",31700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",20400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Value",253900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Confidence",21500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",19800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",60700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",19400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",59800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",34500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",19300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",37800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","Total","Count","Value",2808400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","Total","Count","Confidence",65800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",322700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",218700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",104000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",723100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",33400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",234000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",135600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",143500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",209900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",409400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",51400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",69500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",38400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",62800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",187300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",230300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",195900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",296200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",42400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",100000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",104600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",49200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",246600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",189500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",54600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",159600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",130000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",29500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",152300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",61800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",90600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",265400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",36500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",228900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","Total","Count","Value",1442700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","Total","Count","Confidence",47200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",200500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",141300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",59100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",360700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",23600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",179900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",28400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",46000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",106400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",193800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",38000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",24800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",30900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",89200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",53000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",51100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",257900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",94100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",102300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",27200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",50400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",61000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",133300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",49000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",84400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",130100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",29600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",100500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","Total","Count","Value",1365700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","Total","Count","Confidence",45900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",122200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",77400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",44900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",362400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",54100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",107200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",97600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",103500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",215600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",31800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",98100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",177200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",144900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",22000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",196200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",155300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",40700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",98600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",81400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",135300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",128400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Value",2335300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Confidence",60000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",250400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",181900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",68500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",630400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",31200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",208100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",119600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",129400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",173200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",345700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",49600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",61800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",37600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",170000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",217300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",184100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",33200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",169400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",84200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",214300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",178900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",148800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",120000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",125700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",52900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",72800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",230500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",206200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","Total","Count","Value",1145100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","Total","Count","Confidence",42000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",156100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",116900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",39200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",308400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",160800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",41600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",82000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",164100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",36500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",23900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",79000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",50700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",49100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",145300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",79600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",31000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",22500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",45400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",53800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",42200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",109400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",41400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",68000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",110000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",18500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",91500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","Total","Count","Value",1190200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","Total","Count","Confidence",42900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",94300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",65000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",29300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",322000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",47300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",95700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",87900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",91200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",181600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",52600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",91000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",166600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",135100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",31500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",168800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",146500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",95000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",77800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",17200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",16300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",120500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",114700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Value",461800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Confidence",26700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",70500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",35700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",34800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",90400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",24300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",16100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",36400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",62000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",35900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",125800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",27800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",15800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",71800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",32400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",10800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",17800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",33300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",21700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Value",291900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Confidence",21200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",24200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",19500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",50500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",24100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",28800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",111900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",14400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",71000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",16400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",20100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Value",169900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Confidence",16200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",26800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",11500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",39900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",6800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",33200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",9300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",8400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",13900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6000,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",27400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1300,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1400,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",600,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2024-Mar 2025","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4400,"A","Normal Value" diff --git a/db/data/ons/aps218_occupation_apr_2024_mar_2025/manifest.yaml b/db/data/ons/aps218_occupation_apr_2024_mar_2025/manifest.yaml new file mode 100644 index 00000000..a7281a5b --- /dev/null +++ b/db/data/ons/aps218_occupation_apr_2024_mar_2025/manifest.yaml @@ -0,0 +1,41 @@ +source_id: ons +package_id: ons-aps218-occupation-apr-2024-mar-2025 +dataset: ons_ons-aps218-occupation-apr-2024-mar-2025 +source_page: https://www.nomisweb.co.uk/datasets/aps218 +table: 'Nomis APS218: annual population survey - regional - occupation (SOC2020) by + sex by employment type' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Population Survey, Nomis + dataset APS218 (NM_218_1), Apr 2024-Mar 2025. Contains public sector information + licensed under the Open Government Licence v3.0.' +license_evidence: 'Nomis''s copyright page (https://www.nomisweb.co.uk/home/copyright.asp) + states: ''Under the terms of the Open Government Licence (OGL) and UK Government + Licensing Framework ... anyone wishing to use or re-use ONS material, whether commercially + or privately, may do so freely without a specific application for a licence, subject + to the conditions of the OGL and the Framework.'' Its exceptions (third-party material, + the Business Register and Employment Survey, Ordnance Survey maps) do not cover + the Annual Population Survey.' +license_verified_at: '2026-11-04' +files: + 2025: + filename: aps218_occupation_apr_2024_mar_2025.csv + source_url: https://www.nomisweb.co.uk/api/v01/dataset/NM_218_1.data.csv?geography=2092957697,2092957699,2092957700,2092957701,2092957702,2013265921,2013265922,2013265923,2013265924,2013265925,2013265926,2013265927,2013265928,2013265929&date=2025-03&c_sex=0,1,2&etype=0,1,2&ftpt=0&jtype=0&soc2020_full=0,1000001,100000,100001,2000000,200000,200001,200002,200003,3000000,300000,300001,300002,300003,300004,4000000,400000,400001,5000000,500000,500001,500002,500003,6000000,600000,600001,600002,7000000,700000,700001,8000000,800000,800001,9000000,900000,900001&measure=1&measures=20100,20701&select=date_name,geography_code,geography_name,c_sex_name,etype_name,ftpt_name,jtype_name,soc2020_full_name,measure_name,measures_name,obs_value,obs_status,obs_status_name + sha256: 15f0cc062b83afedb8dd6e2a83d39950f57826053190fa5c663b70ec040cc86b + size_bytes: 1621625 + fetched_at: '2026-11-04T12:54:47+00:00' + nomis_dataset: NM_218_1 + nomis_date: 2025-03 + nomis_date_label: Apr 2024-Mar 2025 + nomis_date_revision: + version: 0 + released: '2025-07-17 07:00:00' + status: current + nomis_dataset_last_revised: '2023-01-27 10:00:00' + nomis_dataset_last_updated: '2026-10-20 07:00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-aps218-occupation-apr-2024-mar-2025/2025/15f0cc062b83afedb8dd6e2a83d39950f57826053190fa5c663b70ec040cc86b/aps218_occupation_apr_2024_mar_2025.csv + uri: r2://ledger-raw/raw/uk/ons/ons-aps218-occupation-apr-2024-mar-2025/2025/15f0cc062b83afedb8dd6e2a83d39950f57826053190fa5c663b70ec040cc86b/aps218_occupation_apr_2024_mar_2025.csv diff --git a/db/data/ons/aps218_occupation_apr_2025_mar_2026/aps218_occupation_apr_2025_mar_2026.csv b/db/data/ons/aps218_occupation_apr_2025_mar_2026/aps218_occupation_apr_2025_mar_2026.csv new file mode 100644 index 00000000..53f25a32 --- /dev/null +++ b/db/data/ons/aps218_occupation_apr_2025_mar_2026/aps218_occupation_apr_2025_mar_2026.csv @@ -0,0 +1,9073 @@ +"DATE_NAME","GEOGRAPHY_CODE","GEOGRAPHY_NAME","C_SEX_NAME","ETYPE_NAME","FTPT_NAME","JTYPE_NAME","SOC2020_FULL_NAME","MEASURE_NAME","MEASURES_NAME","OBS_VALUE","OBS_STATUS","OBS_STATUS_NAME" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Value",33320100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Confidence",223900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3791600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",75500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2618800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",62800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",1172800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",42000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",9111300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",117100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2686500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",63600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1770400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",51600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1791600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",51900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2862800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",65600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4931400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",86100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",587400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",29700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",761900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",33900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",427400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",778000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",34200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2376800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",59800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3035600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",67600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",2579300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",62300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",456300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",26200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",2729900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",64100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",336600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",934400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",37500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",886100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",36500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",572800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",29400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2899000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",66000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2278400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",58600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",596900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",30000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",23700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1907500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",53600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",1454000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",46800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",453500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",26100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1845000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",52700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",674500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",31900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1170500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",42000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",3026900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",67500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",376900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2650000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",63100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Value",17327900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Confidence",161500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",2361000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",59600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",1648200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United 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Educational Professionals","Count","Value",1082400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",40400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1217900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",42800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",2077600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",55900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",152800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",558400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",29000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",118900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",162100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1085400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",40400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2102900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",56200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1705800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",50700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",397100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",220300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",31400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",158900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1942500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",54100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1687000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",50400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",250900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1062600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",40000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",800300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",34700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",262300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",177800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",128700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",49100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1336300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",44800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",72400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1264000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",43600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Value",4466300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Confidence",82000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",686000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",32100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",388600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",297400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",873100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",36200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",205900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",190100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",140800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",336400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",705900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",32600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",76800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",429600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",25400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",173200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",118500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",99000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",956700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",37900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",205200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",141900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",502900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",27500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",106600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",374200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",186600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",187600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",125400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",116000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",390400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",77000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",313400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",232200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",18700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",72800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",159400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Value",2818900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Confidence",65100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",461800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",286700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",175100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",507400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",27600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",164200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",68700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",46500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",228000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",355500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",225100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",97200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",26900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",862000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",36000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",141900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",496100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",27300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",61600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",65500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",31600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",76100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",70900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",344900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",22800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",59200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",285700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",20700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",116000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",64800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",51200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Value",1647400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Confidence",49800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",224200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",101900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",122300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",365700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",23500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",41700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",121400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",94300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",108400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",350400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",64600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",204500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",76100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",91200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",72100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",94600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",42900,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",45000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",308700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",152700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",156000,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",49300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",45100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",17800,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",27700,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",116300,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",108200,"A","Normal Value" +"Apr 2025-Mar 2026","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","Total","Count","Value",28236900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","Total","Count","Confidence",214300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3336600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",73700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2332700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",61600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",1003900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",40400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",7810600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",112700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2297700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",61100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1490100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",49200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1533400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",49900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2489400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",63600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4213600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",82800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",493800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",28300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",642000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",32300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",354700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",24000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",665900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",32900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All 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Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",585000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",30800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",436500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",26600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",148600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1062500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",41600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",378000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",684500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",33400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1211600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",44400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",183700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1027800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",40900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","Total","Count","Value",12034200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","Total","Count","Confidence",139900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",1066800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",41600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",777300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",35500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",289500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",3492200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",75400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",547500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",29800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",982500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",40000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",914800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",38600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1047400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",1772400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",53700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",128600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",470400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",27700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",101300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",142000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",930200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",38900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1779400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",53800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1433100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",48300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",346300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",23700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",178200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",128400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1581800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",50700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1366900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",47100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",211100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",884000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",37900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",661200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",32800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",222800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",146000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",103300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",42600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1118700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",42600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",62300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1056400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",41400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Value",3868000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Confidence",79300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",596200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",31100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",348500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",247700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",784400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",35700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",180100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",170500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",129100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",304700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",610500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",31500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",68600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",366200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",153700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",109500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",91000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",797700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",36000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",157100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",119900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",432600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",26500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",88100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",310900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",160400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",150500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",103900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",95400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",347900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",67100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",280800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",203100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",61900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",141200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Value",2436400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Confidence",62900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",404200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",25600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",259000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",145200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",455000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",27200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",144700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",62400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",42100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",205800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",303000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",190800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",83700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",24400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",719900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",122000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",119900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",427100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",50800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",53000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",63600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",58900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",307300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",255400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",103300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",46300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Value",1431600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Confidence",48200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",192000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",89500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",102500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",329400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",35500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",108100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",87000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",98900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",307500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",57500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",175400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",70000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",84700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",66600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",77800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",37300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",257900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",131200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",126800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",40300,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",36400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",40600,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",25400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",99800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",94900,"A","Normal Value" +"Apr 2025-Mar 2026","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Value",1459500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Confidence",34200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",134500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",88400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",46100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",338900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",99400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",74900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",71100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",93500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",219400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",30400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",39700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",33200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",97000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",140300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",125300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",148300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",46500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",53500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",151800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",124500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",25500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",93200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",70800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",88700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",43000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",45700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",143000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",20200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",122800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","Total","Count","Value",755100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","Total","Count","Confidence",24600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",80600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",54800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",152900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",73200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",46200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",108500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",46400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",46700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",45300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",127700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",18500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",44700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",50500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",14000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",36800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",25700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",42900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",32900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",78600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",35500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",43000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",79200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",62900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","Total","Count","Value",704400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","Total","Count","Confidence",23700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",53800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",33500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",20300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",186000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",26200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Value",61300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",51200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",47300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",110900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",50500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",93500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",80000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",20600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",115000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",98700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",50300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",37900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",63700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",59900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Value",1273100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Confidence",31900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",104400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",74900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",29500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",313500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",92600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",69500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",67300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",84100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",190900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",29500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",36800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",18700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",91200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",136900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",122300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",91300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",39500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",25400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",136100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",116000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",88900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",66600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",76500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",38800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",37700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",133200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Value",633000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",62300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",45900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",16400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",138400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",68400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",39000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",93300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",42400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",45600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",44200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",77200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",37600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",23300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",33700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",24700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",39900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",30000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",68100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",32300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",35800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",73500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",59700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Value",640100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Confidence",22600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",42200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",29000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",175200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",24200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",57100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",48800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",45100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",97600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",30000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",48700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",91300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",78100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",14000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",102400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",91400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",49000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",36600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",59700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",56800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Value",178300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",28700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",25000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",9100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",56100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Value",118000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",17600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",50100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Value",60300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",1100,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Value",2707000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Confidence",59500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",245000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",153400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",91600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",740600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",31100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",228100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",156200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",146700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",209600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",402600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",49400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",64100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",47700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",64500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",176900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",231000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",201000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",245900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",33600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",88000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",58700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",65600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",278800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",215800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",62800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",163100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",125200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",37900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",138300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",55100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",83200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",259200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",31100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",228100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Value",1374400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Confidence",42400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",157400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",100300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",57100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",359100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",32900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",51600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",112300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",208000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",35700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",35000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",36600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",86700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",67100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",62900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",214800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",28400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",83900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",57800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",44800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",56000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",21300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",64000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",48500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",119100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",77800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",127800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",103800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Value",1332600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Confidence",41700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",87600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",53100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",34500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",381500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",65800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",123200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",95200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",97300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",194600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",50000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",27900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",90300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",163900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",138000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",25900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",31100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",222800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",181300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",41500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",99100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",76700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",131400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",124400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Value",2397700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Confidence",56000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",199600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",133100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",66400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",689400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",212600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",144900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",140000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",191900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",348200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",48200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",59600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",46600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",27000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",166800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",223500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",194200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",29300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",187100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",79500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",53300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",240500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",200600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",148200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",111600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",36500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",116300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",65300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",242300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",217000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Value",1194700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Confidence",39500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",128700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",86600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",42100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",330000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",150700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",29400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",48800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",178400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",34900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",80600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",64800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",60600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",164500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",75400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",47500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",30900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",42500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",100100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",38800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",61400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",122600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",101900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Value",1203000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Confidence",39700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",70900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",46600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",24300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",359400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",61900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",115500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",91100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",90800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",169900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",46500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",86200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",158800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",133700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",25100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",22600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",193000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",169700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",91200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",69100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",16200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",119700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",115100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Value",300700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Confidence",19800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",45000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",20300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",24700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",50700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",53700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",37600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",57500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",22200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",37500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",12800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",15600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Value",175800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",28700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",28700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",11300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",11200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",49400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",21700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",16400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Value",125000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",22000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",29200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Value",916800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Confidence",30800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",75600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",44400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",31300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",221100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",61300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",49100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",70400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",95800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",16100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",45700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",114400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",101200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",103800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",39000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",33400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",89600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",71600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",74300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",62100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",60000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",80500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",65700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Value",481900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",51300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",29600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",101700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",44500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",10800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",52000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",39700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",39100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",95700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",33400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",28100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",52400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",20500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",31900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",40000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",28600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Value",434800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Confidence",21200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",24400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",119400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",28700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",43800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",74700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",62100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",75900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",63400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",39100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",34000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",40500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",37200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Value",795000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Confidence",28700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",59100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",37300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",21800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",208100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",57600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",46200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",38800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",65500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",81000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",41500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",112900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",99900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",58500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",32000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",77500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",67000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",70600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",58400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",51200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",25300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",25900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",74500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",63100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Value",392700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",39700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",24500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",92400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",41000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",31000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",21200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",39600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",38900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",53000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",31500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",32100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",43800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",18600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",25200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",36200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",27400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Value",402300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",19400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",12800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",115700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",36900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",34600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",37700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",20300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",73400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",61000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",65300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",59000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",38500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",33400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",35700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Value",119300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",45300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Value",88800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",11300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",42700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Value",30500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","Total","Count","Value",1223600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","Total","Count","Confidence",34700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",107500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",62900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",44600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",292100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",86800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",63300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",61500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",80500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",170500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",36800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",76000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",121900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",105200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",126700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",124200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",104200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",80800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",57400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",79200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",31700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",47500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",118400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",101800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","Total","Count","Value",623200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","Total","Count","Confidence",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",62700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",37600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",25100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",144700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",67700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",42700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",76700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",38200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",33900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",112300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",46400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",39000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",26000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",31600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",72200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",25700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",46600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",60700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",47200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","Total","Count","Value",600500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","Total","Count","Confidence",24300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",44800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",25300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",147300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",47200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",93900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",31700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",86700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",71300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",98200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",84600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",49200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",34900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",57700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",54600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Value",1087400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Confidence",32700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",91500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",56200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",273700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",82100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",58800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",59900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",72900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",149200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",69900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",117300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",100800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",87100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",41500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",112000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",96600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",77200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",55200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",66000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",28800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",37200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",111000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",96900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","Total","Count","Value",535500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","Total","Count","Confidence",22900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",53600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",33200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",132300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",63300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",65800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",34300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",33500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",77000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",40300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",30600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",59700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","Total","Count","Value",551900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","Total","Count","Confidence",23300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",37900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",23000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",141400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",45000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",41700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",83400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",30200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",35600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",82500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",67300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",88200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",78100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",46600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",33700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",54000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",51400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Value",132700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",39000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Value",87200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","Total","Count","Value",3505000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","Total","Count","Confidence",71500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",335000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",221800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",113200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",974900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",37700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",277500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",224100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",195200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",278100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",487200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",26700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",55200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",76700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",44100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",73400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",237800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",339800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",291500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",48300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",286600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",104400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",61200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",326000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",252600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",71800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",207400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",150400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",203900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",80000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",123800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",340100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",298700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","Total","Count","Value",1799700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","Total","Count","Confidence",51200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",207900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",141800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",66100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",478600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",204600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",68700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",61900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",143500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",237300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",38400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",30800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",36400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",117900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",91500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",86600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",251100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",24600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",101300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",87500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",75500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",56300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",85400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",65800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",180600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",64400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",116200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",188900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",31600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",157200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","Total","Count","Value",1705200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","Total","Count","Confidence",49900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",127100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",80000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",47100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",496300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",73000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",155400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",133300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",134600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",249900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",119900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",248200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",204800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",35400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",250500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",196300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",54200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",122000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",84500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",37500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",151200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",141500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Value",3076200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Confidence",67000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",279700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",193900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",85800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",893000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",36100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",261000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",205400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",181700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",244800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",422600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",54500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",70300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",219600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",326400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",279700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",46800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",199100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",87100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",46900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",54100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",280700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",234900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",44200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",193700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",137800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",55900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",156500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",70900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",85600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",320300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",35400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",285000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","Total","Count","Value",1525700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","Total","Count","Confidence",47200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",169300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",118900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",50400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",431100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",25100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",190400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",61200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",57300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",122200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",202500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",107100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",86800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",82200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",172500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",84000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",45100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",34600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",69100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",52800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",77200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",58500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",138300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",57700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",80600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",176400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",26000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",150400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","Total","Count","Value",1550400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","Total","Count","Confidence",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",110500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",75000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",35500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",461900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",70600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",144200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",124400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",122600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",220200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",57600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",112600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",239600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",197400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",42200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",26600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",211700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",182100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",29600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",116500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",79400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",143900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",134500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Value",422000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Confidence",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",54800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",27500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",81200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",33000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",63600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",86800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",42700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",44800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",47100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",38100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Value",270500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Confidence",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",46800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",77900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",41900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",42200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",35500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Value",151500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",38500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Value",2622800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Confidence",59800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",249500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",161300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",88200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",661800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",188900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",151000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",135200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",186700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",358800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",45000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",70400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",43000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",165500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",241800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",207200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",231500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",88200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",71000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",52700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",236700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",183800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",50500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",159800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",121400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",184200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",71000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",113100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",296700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",45600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",251100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Value",1366500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Confidence",43200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",158900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",101100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",57700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",328400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",144700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Value",39200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",45600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",99000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",174900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",36100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",77200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",65000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",62900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",210800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",86400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",69500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",50900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",64600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",161200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",57500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",103700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",150600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Value",1256300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Confidence",41400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",90600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",60200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",30400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",333400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",44300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Value",111800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",89600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",87700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",183800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",88300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",176800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",144400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",32400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",185700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",150200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",95200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",70400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",146100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",134900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Value",2262600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Confidence",55600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",199000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",134900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",64200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",592400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",171300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",133300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",123300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",164500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",314200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",42700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",154900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",231100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",199900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",31200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",149400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",72200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",41500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",208500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",170500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",35700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",147900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",110000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",38000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",142700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",61700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",80900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",275300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",40500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",234900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Value",1131700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Confidence",39300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",120700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",79600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",41100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",285400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",130000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",31200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",83200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",159000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",75000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",62500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",60800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",134900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",70300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",30000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",46300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",57800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",44500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",124100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",48900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",75200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",140000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",29600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",110400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Value",1130900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Confidence",39300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",78300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",55300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",307000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",102100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",82400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",81300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",155200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",51700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",79900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",168600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",139100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",29500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",140200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",90100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",65400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",135400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",124500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Value",353100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Confidence",22000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",48900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",26300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",22600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",68300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",44400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",81300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",42500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",27900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",41500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",32200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Value",231400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",36900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",42100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",75300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",41900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Value",121600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",26200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",28700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Value",2381300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Confidence",64600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",261700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",178000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",83600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",542900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",30900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",151400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",119100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",118800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",153700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",338800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",46900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",59300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",32100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",165400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",231000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",200900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",30200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",208300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",80200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",61100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",41400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",204300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",166000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",158100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",109500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",48700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",170400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",74400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",96000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",265300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",33800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",231500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Value",1234700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Confidence",46500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",162200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",110200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",52000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",281500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",118400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",32600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",42800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",87800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",157300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",34300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",77900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",68300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",67000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",185500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",77500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",60900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",42900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",60900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",42000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",144900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",56200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",88600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",130700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",106900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Value",1146600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Confidence",44800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",99400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",67800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",31700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",261400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",33000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",86500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",76000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",65900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",181500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",48400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",162700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",133900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",28800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",22800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",161400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",136500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",97200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",67500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",29700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",134600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",124700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Value",2073400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",60300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",206500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",143100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",63400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",480600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",29000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",134600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",104600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",106500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",134900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",305700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",55900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",31400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",156200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",217500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",188600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",29000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",141400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",66800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",33500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",178100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",154300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",148500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",100500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",48000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",144200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",66200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",250400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",30500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",219900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Value",1041200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Confidence",42700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",123500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",83600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",39800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",242800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",104500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",27700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",36800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",73800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",143800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",32900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",72800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",65400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",64100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",126300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",64100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",36200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",26600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",54600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",36000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",123200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",50700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",72500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",124900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",103900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Value",1032200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Confidence",42500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",83000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",59500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",23500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",237900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",76900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",69700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",61100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",161900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",45900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",83400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",152100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",124400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",141900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",127700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",93900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",64600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",29300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",125500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",298500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",22900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",54100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",33900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",60500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",32700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",66200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",25300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",26100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Value",188600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",38300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",26200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",37400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",58500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Value",109800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",23000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Value",2826300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Confidence",69600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",269200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",184600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",84600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",708800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",34900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",202100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",165500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",151200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",190000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",395000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",26000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",59400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",56300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",192300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",270100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",234200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",248700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",27700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",96500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",77000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",268100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",221600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",43500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",172400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",131500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",40800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",189300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",74300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",115100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",301900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",44600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",257400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Value",1484800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Confidence",50400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",177700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",126000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",51700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",353000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",24600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",148700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",48600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",55200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",100500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",212200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",31900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",103700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",71000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",70500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",220600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",94000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",75400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",29900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",57000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",40000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",68600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",50400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",163100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",56900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",106300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",159900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",36000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",123900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Value",1341500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Confidence",48000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",91400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",58600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",32900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",355800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",53400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",117000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",14200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",96000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",89400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",182800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",47200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",88600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",199100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",163700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",28200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",211000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",181600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",103700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",81100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",26200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",142000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",133500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Value",2481400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",65200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",217100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",153000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",64100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",650100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",33400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",185300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",149700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",141600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",173500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",341600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",52300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",34800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",176000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",260400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",225400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",169400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",83500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",40000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",242800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",209400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",162400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",121600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",40800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",153400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",69600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",83800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",281400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",22000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",246200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Value",1256300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Confidence",46400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",140100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",102900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",37200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",319200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",135200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",40900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",52500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",90700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",183800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",95200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",68800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",68300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",149900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",80900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",34100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",62200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",44000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",53100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",148200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",120700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Value",1225100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Confidence",45800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",76900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",50000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",330900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",50200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",108800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",89100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",82800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",157800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",42000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",80800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",191600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",157200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",191500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",171600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",100200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",77500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",133200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",125600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",333300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",23900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",51500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",31100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",57500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",51200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",29800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",77900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",35900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",31300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Value",222800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",22600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",69800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",31900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Value",110500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",23500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","Total","Count","Value",3200200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","Total","Count","Confidence",77000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",421900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",28000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",301700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",120100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",835100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",39300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",257400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",145400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",173000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",259400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",488000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",58200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",73700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",56000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",60800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",239200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",314600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",266400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",48200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",249700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",90800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",77500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",51300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",259200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",204100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",52800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",178800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",143700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",187200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",56600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",130700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",262900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",235600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","Total","Count","Value",1673200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","Total","Count","Confidence",55700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",264600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",189500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",75000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",433500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",194200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",39300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",59900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",140100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",255000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",40200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",42300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",31700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",127600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",69400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",68100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",219300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",86700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",75500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",32700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",53600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",38500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",74700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",60000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",41400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",120900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",139000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",119100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","Total","Count","Value",1527100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","Total","Count","Confidence",53200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",157300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",112200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",45100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",401600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",63100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",106100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",113100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",119300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",233000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",60500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",29100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",111600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",245100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",198300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",46800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",30300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",205600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",165600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",40000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",104100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",83700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",123900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","Total","Count","Value",2747200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","Total","Count","Confidence",71400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",349200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",25400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",259000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",90200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",756800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",37500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",237400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",129800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",158300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",231200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",430100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",28200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",56400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",66700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",56000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",224700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",295600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",250800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",44700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",152700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",76400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",26600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",39600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",213500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",177300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",33900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",165300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",131700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",33600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",146100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",47000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",99100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",235100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",216200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","Total","Count","Value",1396000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","Total","Count","Confidence",50900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",216600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",158900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",57700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",388500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",178700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",36400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",54300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",119100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",226400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",39100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",42300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",119000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",66500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",65200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",131900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",72200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",24600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",46800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",67700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",54500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",126600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",92700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",123200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",110200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","Total","Count","Value",1351300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","Total","Count","Confidence",50100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",132600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",100100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",32500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",368300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",58700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",93500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",104000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",112100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",203700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",55500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",105600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",229000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",185600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",166600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",143300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",97600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",77200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",111900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",106000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Value",440500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Confidence",28600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",68700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",27400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",78400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",28200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",57100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",96200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",50100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",43200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",41100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",31600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Value",271900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",29600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",45000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",28000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",87400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",49600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",35700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Value",168600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",33300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",37400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","Total","Count","Value",4872700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","Total","Count","Confidence",113700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",737900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",44200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",561300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",38600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",176600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1703000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",67200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",464000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",260500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",26300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",269300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",26700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",709200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",43400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",804200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",46200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",69200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",90100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",35400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",189000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",420500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",33400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",369100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",31300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",303600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",65500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",227200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",51300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",97300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",66800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",332300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",29700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",245200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",25500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",83000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",202300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",151200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",51100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",172000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",30500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",141500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",314000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",28900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",292100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",27800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","Total","Count","Value",2599200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","Total","Count","Confidence",83000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",454600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",34700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",342600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",112000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",911900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",49200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",339300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",30000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Value",67400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",106800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",398300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",32500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",418600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",33300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",48400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",108000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",217900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",24000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",115500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",102700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",204100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",49200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",96200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",50800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",87000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",45800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",37100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",86700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",62400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",156200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",133800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",157200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",21500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",135700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","Total","Count","Value",2273500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","Total","Count","Confidence",77600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",283300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",27400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",218700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",64600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",791200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",45800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",124700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Value",193100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",22600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",162500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",310900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",28700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",385600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",32000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",72200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",81000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",202700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",253600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",201000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",52600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",245300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",25500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",199400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",45900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",115600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",88800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",26800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",156800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",156400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","Total","Count","Value",4099100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","Total","Count","Confidence",104300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",603100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",40000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",464700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",35100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",138400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1503700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",63100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",424900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",33600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",226500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",242000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",25300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",610200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",40200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",646500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",41400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",64200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",71600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",35200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",85600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",389900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",32200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",350900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",30500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",288400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",27700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",62500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",143500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",42800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",35600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",58200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",287100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",216300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",66700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",181400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",133700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",47700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",100400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",79600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",273300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",257900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",26200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","Total","Count","Value",2113200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","Total","Count","Confidence",74900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",360400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",30900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",272200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",26900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",88100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",797100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",46000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",308500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",28600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",54600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",98800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",335200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",29800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",328900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",29500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",44200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",43800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",200000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",110900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",98000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",126500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",40700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",35600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",45500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",76800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",39800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",71500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",49400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",93000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",141500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",126400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","Total","Count","Value",1985900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","Total","Count","Confidence",72600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",242700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",25400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",192400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",22600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",50300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",706600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",43300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",116400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",171900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",143200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",275100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",27000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",317600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",29000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",57100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",41900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",189900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",240000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",190300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",49700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",210300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",176500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",33800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",109900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",84300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",25600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",131800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",18700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",131500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Value",751700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Confidence",44600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",130700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",94900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",35800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",196100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",22800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",37900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",33600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",97400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",150200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",101200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",29100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",82400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",61700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",43400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",27400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",20800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",17500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",71600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",61900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",38900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",32400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Value",476200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Confidence",35500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",92900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",70000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",22900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",113300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",29700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",63200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",84600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",62100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",77600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",60600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",63200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",55800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Value",275500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Confidence",27000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",24900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",82800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",21200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",65600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",39100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",33500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",21700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",24300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","Total","Count","Value",4760100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","Total","Count","Confidence",86400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",623200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",31300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",445000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",178200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1328100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",45600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",420000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",25700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",218700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",272400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",416900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",25600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",747100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",94700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",110900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",66600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",109300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",365500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",417200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",342900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",74300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",391800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",54500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",125800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",136700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",74800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",383400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",297300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",81200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",260200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",203800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",56400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",217600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",71300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",146200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",382900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",341600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","Total","Count","Value",2467300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","Total","Count","Confidence",62200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",383000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",279600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",103400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",667600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",32400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",308200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",22000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",56300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",86800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",216300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",374600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",73900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",44200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",49700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",192800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",99500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",96300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",342800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",44900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",121700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",132400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",43800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",91300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",60700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",113300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",90100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",192200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",55200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",137000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",201100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",168700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","Total","Count","Value",2292800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","Total","Count","Confidence",60000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",240200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",165500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",74800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",660500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",32200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",111800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",162400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",185700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",200600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",372500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",96900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",59600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",172800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",317700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",246600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",71100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",49000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",31000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",292100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",236600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",54100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",147000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",113700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",33300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",181700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",172900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Value",4052300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Confidence",79700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",513600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",384100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",129500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1186600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",43100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",389000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",24700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",187100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",248500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",362000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",631700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",31500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",91100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",95200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",65000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",48600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",331900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",22800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",392700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",323900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",68800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",234200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",106600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",46400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",60700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",323800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",260800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",58100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",242800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",187500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",55300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",169800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",61300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",108400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",349900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",23400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",321100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","Total","Count","Value",2034000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","Total","Count","Confidence",56500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",313900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",238100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",75800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",586700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",282000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",44500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",81400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",178700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",321300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",71400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",42600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",174900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",91700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",88500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",199600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",102500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",43600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",35800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",81800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",53500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",103900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",80700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",151000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",48000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",103000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",182800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","Total","Count","Value",2018300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","Total","Count","Confidence",56300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",199700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",146100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",53600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",600000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",107000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",142600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",167100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",183300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",310400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",83200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",28100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",157000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",301100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",235500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",65600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",34600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",242000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",207200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",33400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",139000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",106800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",32200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",167100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",158800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Value",690200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Confidence",32900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",106100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",59200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",46900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",138300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",31700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",23600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",52900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",112200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",60000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",32600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",16200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",157000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",34000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",89700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",14000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",57500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",37800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",32500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",20000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Value",423200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Confidence",25800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",65600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",39900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",25800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",78000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",25400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",52200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",29000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",17700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",142600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",27100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",88300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",41200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",34000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Value",267000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Confidence",20500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",40400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",19300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",60300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",60000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",31000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",14900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",48000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",14600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","Total","Count","Value",2844800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","Total","Count","Confidence",60700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",330900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",216200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",114700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",763900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",31500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",249600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",142400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",156800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",215000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",424000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",64600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",36100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",76300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",194900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",244300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",200000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",44300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",261500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",46400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",76100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",89300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",49600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",244700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",191800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",50800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",157100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",127000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",154400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",59400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",95000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",262000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",38600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",223500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","Total","Count","Value",1467800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","Total","Count","Confidence",43600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",200200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",135100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",65100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",385900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",188500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",31400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",53400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",112600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",218700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",39000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",41300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",100300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",55000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",51000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",225300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",34500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",73000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",87500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",30200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",47800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",38000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",63400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",51100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",138000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",50300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",87700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",131900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",103500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","Total","Count","Value",1376900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","Total","Count","Confidence",42300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",130700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",81100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",49700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",378000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",61100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",111000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",103400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",102500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",205300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",53600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",35000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",94600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",189200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",149000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",40200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",36100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",19400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",196900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",153800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",43100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",93700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",75800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",16400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",130200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",120000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Value",2384000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Confidence",55600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",262200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",186800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",75400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",675300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",29600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",226900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",123700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",140700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",184100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",344400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",49500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",56600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",35300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",28200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",174800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",228000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",185200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",42800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",148800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",64100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",33100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",211300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",176400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",149700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",119600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",30100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",129300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",74300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",233400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",206100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","Total","Count","Value",1195700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","Total","Count","Confidence",39400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",157100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",110900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",46200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",336900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",172500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",26200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",47500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",90800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",182000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",19800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",89600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",53100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",49100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",128700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",61000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",35000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",44100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",36400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",59500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",47300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",115300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",67700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",117600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",98000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","Total","Count","Value",1188300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","Total","Count","Confidence",39300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",105100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",75900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",29200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",338400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",54400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",97500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",93200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",93300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",162300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",47300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",8900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",85300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",174900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",136100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",38700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",20100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",167200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",140100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",90200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",72300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",17900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",13900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",115800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",108100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Value",446100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Confidence",24100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",66000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",27600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",38500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",85800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",18800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",30000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",78100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",47600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",19000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",12400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",110900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",52400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",33300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",15200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",19900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",26700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",16500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Value",264500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Confidence",18500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",40600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",22400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",18200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",47000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",14800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",36200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",95500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",52200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",19200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Value",181600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Confidence",15300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",25500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",20300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",38800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",6700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",13500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",41800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",12000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",15500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8800,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",29500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3500,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1900,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1300,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",700,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13000,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4100,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1600,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",11400,"A","Normal Value" +"Apr 2025-Mar 2026","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3800,"A","Normal Value" diff --git a/db/data/ons/aps218_occupation_apr_2025_mar_2026/manifest.yaml b/db/data/ons/aps218_occupation_apr_2025_mar_2026/manifest.yaml new file mode 100644 index 00000000..a930d598 --- /dev/null +++ b/db/data/ons/aps218_occupation_apr_2025_mar_2026/manifest.yaml @@ -0,0 +1,41 @@ +source_id: ons +package_id: ons-aps218-occupation-apr-2025-mar-2026 +dataset: ons_ons-aps218-occupation-apr-2025-mar-2026 +source_page: https://www.nomisweb.co.uk/datasets/aps218 +table: 'Nomis APS218: annual population survey - regional - occupation (SOC2020) by + sex by employment type' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Population Survey, Nomis + dataset APS218 (NM_218_1), Apr 2025-Mar 2026. Contains public sector information + licensed under the Open Government Licence v3.0.' +license_evidence: 'Nomis''s copyright page (https://www.nomisweb.co.uk/home/copyright.asp) + states: ''Under the terms of the Open Government Licence (OGL) and UK Government + Licensing Framework ... anyone wishing to use or re-use ONS material, whether commercially + or privately, may do so freely without a specific application for a licence, subject + to the conditions of the OGL and the Framework.'' Its exceptions (third-party material, + the Business Register and Employment Survey, Ordnance Survey maps) do not cover + the Annual Population Survey.' +license_verified_at: '2026-11-04' +files: + 2026: + filename: aps218_occupation_apr_2025_mar_2026.csv + source_url: https://www.nomisweb.co.uk/api/v01/dataset/NM_218_1.data.csv?geography=2092957697,2092957699,2092957700,2092957701,2092957702,2013265921,2013265922,2013265923,2013265924,2013265925,2013265926,2013265927,2013265928,2013265929&date=2026-03&c_sex=0,1,2&etype=0,1,2&ftpt=0&jtype=0&soc2020_full=0,1000001,100000,100001,2000000,200000,200001,200002,200003,3000000,300000,300001,300002,300003,300004,4000000,400000,400001,5000000,500000,500001,500002,500003,6000000,600000,600001,600002,7000000,700000,700001,8000000,800000,800001,9000000,900000,900001&measure=1&measures=20100,20701&select=date_name,geography_code,geography_name,c_sex_name,etype_name,ftpt_name,jtype_name,soc2020_full_name,measure_name,measures_name,obs_value,obs_status,obs_status_name + sha256: 12deddc0617fb46f8724306545901e8894f9c6bafb839bf9554475f7e42a6673 + size_bytes: 1619183 + fetched_at: '2026-11-04T12:54:53+00:00' + nomis_dataset: NM_218_1 + nomis_date: 2026-03 + nomis_date_label: Apr 2025-Mar 2026 + nomis_date_revision: + version: 0 + released: '2026-07-21 07:00:00' + status: current + nomis_dataset_last_revised: '2023-01-27 10:00:00' + nomis_dataset_last_updated: '2026-10-20 07:00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-aps218-occupation-apr-2025-mar-2026/2026/12deddc0617fb46f8724306545901e8894f9c6bafb839bf9554475f7e42a6673/aps218_occupation_apr_2025_mar_2026.csv + uri: r2://ledger-raw/raw/uk/ons/ons-aps218-occupation-apr-2025-mar-2026/2026/12deddc0617fb46f8724306545901e8894f9c6bafb839bf9554475f7e42a6673/aps218_occupation_apr_2025_mar_2026.csv diff --git a/db/data/ons/aps218_occupation_jan_dec_2025/aps218_occupation_jan_dec_2025.csv b/db/data/ons/aps218_occupation_jan_dec_2025/aps218_occupation_jan_dec_2025.csv new file mode 100644 index 00000000..508dc687 --- /dev/null +++ b/db/data/ons/aps218_occupation_jan_dec_2025/aps218_occupation_jan_dec_2025.csv @@ -0,0 +1,9073 @@ +"DATE_NAME","GEOGRAPHY_CODE","GEOGRAPHY_NAME","C_SEX_NAME","ETYPE_NAME","FTPT_NAME","JTYPE_NAME","SOC2020_FULL_NAME","MEASURE_NAME","MEASURES_NAME","OBS_VALUE","OBS_STATUS","OBS_STATUS_NAME" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Value",33263700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","Total","Count","Confidence",225900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3809800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",76500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2619900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",63400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",1189900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",42700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",8965300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",117300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2657800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",63900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1733300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",51600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1750600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",51800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2823600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",65800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4953100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",87200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",590600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",30100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",765900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",34300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",415600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",25300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",773300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",34400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2407700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",60800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3071700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",68700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",2598800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",63200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",472900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",26900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",2771700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",65200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",334400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",936700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",37900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",916400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",37500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",584100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",29900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2893900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",66600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2291400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",59300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",579300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",29800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1905200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",54100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",1457300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",47300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",447900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1847400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",53200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",676100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",32200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1171300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",42400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",2998800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",67800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",386100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",24300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2612800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",63300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Value",17299000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","Total","Count","Confidence",162900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",2371100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",60300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",1647200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United 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2025","K02000001","United Kingdom","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",55100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","22 : Health Professionals","Count","Value",452100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",26300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",594700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",30200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","24 : Business, Media And Public Service 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2025","K02000001","United Kingdom","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",136700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",295500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",21300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",419300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","34 : Culture, Media And Sports 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Occupations","Count","Confidence",34500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",603600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",30400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",170300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1620900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Total","Total","Total","8 : Process, Plant And Machine 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Professionals","Count","Confidence",31100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",120100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",354000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1180100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United 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: Sales Occupations","Count","Confidence",36200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",277500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",20600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",226600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",149200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",77400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",1436900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",47000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",91100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United 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2025","K02000001","United Kingdom","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",69200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",2242100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",58700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",878900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",36700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","2 : Professional 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Kingdom","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1611800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",49700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2488700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",61800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",4220600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",80500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",568600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",29500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",682600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",32400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",409100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",25100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",336700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2223500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",58400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2933800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",67100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",2480800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",61700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",453100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",26400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",1764900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",52000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",124500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",795400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",34900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",377200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",24100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",467800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",26800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2512800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",62100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2097700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",56700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",391900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",24500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1781600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",52300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",1343500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",45400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",438100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",25900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1455100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",47300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",600200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",30300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",854900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",36200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",2761200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",65100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",310900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2450200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",61300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","Total","Count","Value",14399800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","Total","Count","Confidence",148700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",1908100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",54100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",1369600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",45800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",538500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",28700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",4016900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",78500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1804600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",52600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",381500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",24200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",549700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",29000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1281100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",44300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",2139400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",57300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",416800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",25300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",121000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",289500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",187300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1124700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",41500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",798000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",35000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",753800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",34000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",44200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",1532700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",48500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",105500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",761400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United 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Occupations","Count","Value",562000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",29400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",390800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",24500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",152300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",704100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",32900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",538600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",165500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1275400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",44200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",467700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",26800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",807700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",35200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1441100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",47000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",231400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1209600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",43100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","Total","Count","Value",14287900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","Total","Count","Confidence",148100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",1212900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",43100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",872500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",36600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",340400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",22900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",4076000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",79100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",636600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",31300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",1169800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",42400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1062100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",40400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1207600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",43000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",2081200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",56500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",151800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",561700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",29400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",119500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",149400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1098800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",41100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2135800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",57200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1727000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",51500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",408900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",25000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",232200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",34000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",166500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1950800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",54700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1706900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",51200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",239600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1077500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",40700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",804800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",35100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",272600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",179700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",132500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",47100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1320100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",45000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",79500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1240600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",43600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Value",4452500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","Total","Count","Confidence",82700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",666000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",32000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",366000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",300000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",856200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",36200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",210800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",180700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",136400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",328300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",22400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",716000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",33100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",22000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",75300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",434200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",25800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",178000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",115100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",97500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",994700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",39100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",204900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",140700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",535800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",28700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",113300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",367200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",180700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",186500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",119700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",111100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",389000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",74400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",314600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",22000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",225600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",70500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",155100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Value",2834500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","Total","Count","Confidence",66000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",447300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",269600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",177700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",501300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",27700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",168500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",69300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",219800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",367900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",17800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",6000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",230300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",100800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",29300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",29300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",897500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",37100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",165400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",139500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",526000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",28400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",66600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",62600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",34600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",68700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",64900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",342800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",22900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",58100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",284800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",20900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",115100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",61800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",53200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Value",1618000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","Total","Count","Confidence",49800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",218700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",96400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",122300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",354900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",42300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",111400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",92700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",108400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",348100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",203800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",77200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",85800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",68200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",97200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",39500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",46700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",304600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",146100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",158600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",51000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",46100,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",46200,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16300,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",29800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",110500,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",101900,"A","Normal Value" +"Jan 2025-Dec 2025","K02000001","United Kingdom","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","Total","Count","Value",28179800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","Total","Count","Confidence",218100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",3336900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",75000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",2322600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",62600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",1014300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",41400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",7673100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",113800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2266900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",61900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",1451200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",49500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1501500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",50300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2453500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",64400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",4231800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",84500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",494600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",28900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",642600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",32900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",345900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",24200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",670100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",33600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All 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Construction And Building Trades","Count","Value",292000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",250100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",469500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",28200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",327300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",124400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",575000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",31200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",438000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",27200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",137000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",1064400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",42400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",376300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",688100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",34100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1199400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",45000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",184500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1014900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",41400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","Total","Count","Value",12041400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","Total","Count","Confidence",142600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",1073800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",42600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",777200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",36200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",296600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",3431500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",76100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",531500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",30000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",963100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",40300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",898700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",38900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1038200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",41900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",1774700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",54700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",126800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",473200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",28300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",102300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",135400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",937000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",39800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1807400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",55200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",1454300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",49500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",353000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",187900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",26400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",136000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1607700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",52100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1403100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",200900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",889300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",38700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",658500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",230800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",145600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",105300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",40300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",1104800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",43200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",69900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1034900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",41800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Value",3851400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","Total","Count","Confidence",80600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",577000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",31200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",327200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",249800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",760300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",35800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",184600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",155800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",124300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",295600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",621500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",32400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",67000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",375200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",155000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",106500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",89900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",836600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",37600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",157800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",119000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",464000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",28000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",95900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",308300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",155300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",153000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",100300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",92500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",344400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",24100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",65800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",278600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",21700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",193500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",58300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",135200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Value",2446400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","Total","Count","Confidence",64300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",389600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",241900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",20200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",147700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",442200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",27300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",148100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",58900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",38700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",196500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",318500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",199200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",26500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",26500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",753600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",35700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",124500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",117700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",455600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",27700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",55800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",52900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",30300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",56500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",53300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",303800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",252300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",100800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",53300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",47500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Value",1405000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","Total","Count","Confidence",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",187400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",85300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",102100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",318100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",36500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",96900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",85600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",99100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",303000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",176000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",67600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",80000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",63400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",83000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",40100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",255400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",125000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",130400,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",43800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",39200,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",40600,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",26300,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",92700,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",87800,"A","Normal Value" +"Jan 2025-Dec 2025","E92000001","England","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Value",1463800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","Total","Count","Confidence",35100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",144400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",93900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",50500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",342000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",104400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",75600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",69800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",92200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",225900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",32300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",44700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",30000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",100000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",136300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",121200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",147800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",49800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",51800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",142300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",117800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",89500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",66700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",90000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",45300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",44700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",143200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",21100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",122100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","Total","Count","Value",757100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","Total","Count","Confidence",25300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",88800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",59800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",29000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",153400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",73900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Value",13200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",48100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",112600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",47700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",43000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",41300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",128000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",48400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",48800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",34300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",26700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",39900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",31200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",77100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",36000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",41100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",78000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",60500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","Total","Count","Value",706800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","Total","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",34100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",21500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",188600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Value",62500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",51600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",44000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",113300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",35300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",3700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",52200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",93300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",80000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",19900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",108100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",91100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",16800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",49600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",35400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",14200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",65200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",61500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Value",1279400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","Total","Count","Confidence",32900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",113700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",79200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",34500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",315400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",97400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",70500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",65700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",81800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",200600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",31200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",42400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",18700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",93500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",133200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",118400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",91500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",41900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",128100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",110000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",85200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",62600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",77000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",42000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",35000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",132500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",115600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Value",636300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","Total","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",69800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",50500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",19300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",138400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",69100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",40700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",99100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",43600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",41800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",40100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",78100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",40500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",32900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",26000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",36700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",28200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",66400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",33200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",71200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",14200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",57000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Value",643200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","Total","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",28800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",15100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",177000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",28300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",58600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",49000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",41100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",101500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",33200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",3700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",50000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",91300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",78300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",95300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",84100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",48600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",34400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",14200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",61300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",58600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Value",175600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","Total","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",29100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",26200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",6900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",10000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",24200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",27100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",13200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",12600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Value",116400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","Total","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",18200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",14900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",49500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",26200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Value",59200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","Total","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",11300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",11300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5400,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",1300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","W92000004","Wales","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Value",2702000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","Total","Count","Confidence",55800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",247500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",156200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",91200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",722700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",220400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",156600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",137000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",208800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",403400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",51000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",45100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",59500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",184900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",232800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",199100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",240200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",30400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",85900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",62500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",61500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",268000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",205200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",62600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",172800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",136300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",36500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",141400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",86700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",270500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",236700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Value",1373600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","Total","Count","Confidence",39800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",158900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",99900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",59000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",349600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",158900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",35300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",47900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",107600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",206400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",32000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",35100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",63900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",59900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",209000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",80600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",61500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",41400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",67500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",54300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",13300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",122200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",41400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",80900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",139400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",112400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Value",1328400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","Total","Count","Confidence",39100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",88500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",56300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",32200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",373100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",20700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",61500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",121300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",89100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",197000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",48600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",97300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",168900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",139200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",29700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",31200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",212700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",171600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",41200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",105300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",82100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",19200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",131100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",124300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Value",2382900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","Total","Count","Confidence",52400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",202100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",136100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",66000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",667700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",27700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",204700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",140900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",130800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",191200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",344600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",50000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",57100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",171500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",225700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",192700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",33000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",180500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",78900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",50300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",232600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",190600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",41700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",159200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",124100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",35100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",117400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",50300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",67100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",250500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",223000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Value",1183100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","Total","Count","Confidence",36900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",129300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",84800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",44500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",315800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",19100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",146600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",28700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",44900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",95500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",176700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",36700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",31500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",80900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",61400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",57300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",155900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",73600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",33500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",48200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",60500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",48400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",101200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",38400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",62800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",133000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",109600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Value",1199800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","Total","Count","Confidence",37200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",72800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",51200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",21600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",351900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",58100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",112200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",85900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",95700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",167900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",44200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",90600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",164400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",135400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",28900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",184400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",160700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",98700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",75700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",16200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",117500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",113400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Value",307700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","Total","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",54400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",57900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",37700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",57700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",25200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",34800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",12200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",19600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",18500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Value",183900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","Total","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",28000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",14500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",33400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",51600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",24800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",6900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",20600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",18000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Value",123900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","Total","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",21000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",28700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",27800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","S92000003","Scotland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Value",918100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","Total","Count","Confidence",30600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",81100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",47200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",33900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",227400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",15200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",66100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",49900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",42200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",69200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",92000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",15700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",111900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",97300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",103000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",19000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",86900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",71500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",75800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",63300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",59100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",27800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",79600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",64100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Value",482600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","Total","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",53700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",107200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",47200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",49700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",10600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",22200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",37800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",94400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",37800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",34600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",26800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",51300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",21200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",30100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",40700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",29100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Value",435500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","Total","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",27400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",120200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",19000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",30000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",42400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",22100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",74100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",60000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",73900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",63900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",41200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",36600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",38900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",35000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Value",797800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","Total","Count","Confidence",28500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",64200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",40800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",23500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",212000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",45800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",64000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",79300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",40400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",110600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",96100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",14400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",57900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",31400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",74900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",66700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",72800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",60300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",50800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",26400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",24300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",74000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",61800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Value",394300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","Total","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",41900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",25500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",16400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",96300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",43600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",42200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",19200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",37800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",51600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",31900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",24000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",43400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",19800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",23600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",37500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",28200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Value",403500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","Total","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",22400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",115700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",28500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",32700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",37100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",21200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",72800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",58900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",63500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",59000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",40900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",36200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",36500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Value",117800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","Total","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",45100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Value",87800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","Total","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",42800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Value",29900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","Total","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1600,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",1500,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","N92000002","Northern Ireland","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","Total","Count","Value",1204800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","Total","Count","Confidence",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",107500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",63900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",43500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",290200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",89000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",61000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",60300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",80000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",168800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",74500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",118200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",102900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",124000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",46000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",41900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",114800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",95900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",79300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",56900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",85900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",49100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",113000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",97700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","Total","Count","Value",615000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","Total","Count","Confidence",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",38300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",24000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",145300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",70300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",19000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",39300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",75400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",37600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",31900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",109000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",45100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",25000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",30300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",77000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",29100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",47900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",55000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",43000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","Total","Count","Value",589800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","Total","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",45300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",25700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",145000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",41300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",40700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",93400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",32000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",84400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",71000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",89800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",77800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",49000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",35100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",58100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",54600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Value",1069200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","Total","Count","Confidence",32800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",91400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",57200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",34200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",272400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",84800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",56900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",59000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",71600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",148600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",36000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",70100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",113500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",98500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",83900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",21300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",104500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",89300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",75400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",54200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",70800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",105900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",92400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","Total","Count","Value",527400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","Total","Count","Confidence",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",53400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",34500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",133300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",66500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",65300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",35000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",33100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",31200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",72700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",37700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",29300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",20900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",62800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",26600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",52200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",41500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","Total","Count","Value",541900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","Total","Count","Confidence",23400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",38000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",139100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",42800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",40100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",37900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",83300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",30700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",35100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",80400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",67300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",81100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",72300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",46100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",53700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",50900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Value",131900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","Total","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",39600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Value",87400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","Total","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",36300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Value",44500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","Total","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000001","North East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","Total","Count","Value",3510600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","Total","Count","Confidence",73600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",342900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",23000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",223100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",119800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",963500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",38600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",285700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",222800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",190700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",264300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",20200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",496100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",27700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",59300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",77900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",43200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",74400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",241300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",334300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",288200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",46100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",298100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",31800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",102100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",92800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",71400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",330100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",256900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",70700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",205200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",155100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",50100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",201800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",77600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",124200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",330000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",40000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",290000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","Total","Count","Value",1801500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","Total","Count","Confidence",52700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",211000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",140500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",70600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",474700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",27100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",210500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",71300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",60400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",132600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",240500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",40000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",117900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",95300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",89400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",261200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",98600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",45600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",74100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",54000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",81600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",64700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",175900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",117800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",182100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",29300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",152700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","Total","Count","Value",1709100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","Total","Count","Confidence",51300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",131900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",82600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",49200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",488800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",75200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",151500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",130400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",131700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",255500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",63200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",36000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",123400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",239000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",198800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",40200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",36900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",25800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",256000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",202900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",53100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",123700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",90400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",147900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",137300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Value",3069700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","Total","Count","Confidence",68800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",284200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",194700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",89500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",881400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",36900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",267300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",204000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",176800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",233300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",19000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",429800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",58500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",70600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",42300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",222500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",320900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",275500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",45400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",207100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",85300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",48100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",59800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",286500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",240800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",43200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",190100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",141100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",49000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",152900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",67400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",85500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",309000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",35500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",273500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","Total","Count","Value",1518400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","Total","Count","Confidence",48400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",168800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",117900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",50800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",426100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",194800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",62900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",112800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",205700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",39200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",106900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",90700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",84800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",179700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",82400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",47200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",67900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",51000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",73500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",57100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",50600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",81300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",169900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",144700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","Total","Count","Value",1551300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","Total","Count","Confidence",48900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",115500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",76800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",38700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",455300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",72500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",141000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",121200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",120500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",224000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",57100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",115600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",230200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",190700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",39500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",27400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",218600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",189700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",28900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",116600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",84000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",139100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",128800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Value",435000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","Total","Count","Confidence",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",58500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",28400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",30100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",81600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",65700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",90600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",44200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",42900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",38600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Value",280400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","Total","Count","Confidence",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",42300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",22500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",48100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",34100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",81000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",42500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",43900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",36300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Value",154700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","Total","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",33500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",31500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",36900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000002","North West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Value",2613100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","Total","Count","Confidence",60000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",254900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",165800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",89100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",651200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",30000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",182100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",149100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",130400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",189700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",358600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",46900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",65400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",34000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",45400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",166800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",251100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",213600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",37500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",231300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",82700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",77000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",53900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",234900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",185700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",47000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",154000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",117600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",36400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",179300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",64900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",114400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",295500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",20200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",47300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",248300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Value",1360100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","Total","Count","Confidence",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",163600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",105400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",322400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",138900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Value",38500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",102100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",179900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",79000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",64800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",211700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",81200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",75200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",60300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",46300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",157300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",105500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",150500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",34500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Value",1253100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","Total","Count","Confidence",41600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",91300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",60400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",30900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",328800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",43200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Value",110600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",87400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",87700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",178700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",51600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",186300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",151500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",186200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",152600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",93700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",71300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",145000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",132200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Value",2258300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","Total","Count","Confidence",55800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",200800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",137600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",63200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",587800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",28500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",165400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",133800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",119000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",169600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",314700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",44600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",34000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",157100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",239900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",205200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",34700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",148200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",69100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",29700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",42800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",206600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",172200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",143500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",107300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",36100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",140700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",56700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",83900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",274000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",41900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",232100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Value",1130000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","Total","Count","Confidence",39500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",125500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",83700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",41800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",284000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",19800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",124600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",32200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",39200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",88000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",162300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",35200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",76700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",60000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",134300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",67600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",43800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",54600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",40800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",123200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",139300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",29400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",109900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Value",1128300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","Total","Count","Confidence",39400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",75400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",53900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",303800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",40800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",101700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",79800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",81600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",152300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",45400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",80500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",177800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",145200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",162800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",142600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",88900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",66500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",134700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",122200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Value",347200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","Total","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",52200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",27900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",24300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",63000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",82400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",47400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",38600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",30400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Value",226200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","Total","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",36600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",38200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",76800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",46400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",34100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",26600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Value",121000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","Total","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",24800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000003","Yorkshire and The Humber","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Value",2365000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","Total","Count","Confidence",65500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",247700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",162800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",84900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",532400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",31100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",146700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",116300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",119200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",150200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",353300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",25300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",32300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",46300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",168900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",227100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",194200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",33000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",214200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",87000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",61300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",207800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",167600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",40200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",155300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",105700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",49600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",165600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",69100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",96500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",261000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",36700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",224400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Value",1226700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","Total","Count","Confidence",47200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",155300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",101200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",54100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",274700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",117300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",28100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",44100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",85200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",162700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",32300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",19800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",77600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",64900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",62800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",190000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",23000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",84100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",61300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",21600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",53300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",144500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",55400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",89100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",132200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",26300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",105800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Value",1138300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","Total","Count","Confidence",45500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",92400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",61600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",257700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",21600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",29400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",88200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",75100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",65000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",190700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",51700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",91400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",162300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",131400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",30900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",24200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",159100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",132400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",26700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",102000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",68300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",128900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",118600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Value",2059700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",61200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",202900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",136400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",66500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",473100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",29300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",130800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",102900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",109100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",130400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",315500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",23900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",41800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",59000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",31700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",159800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",213300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",182000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",147900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",72900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",32500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",175800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",151300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",148200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",99000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",49200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",139300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",64300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",75000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",243100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",210500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Value",1032700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","Total","Count","Confidence",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",123600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",80400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",43100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",237200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",103100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",23800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",39800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",70600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",145900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",72200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",61100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",59100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",130900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",70000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",28100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",39700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",29800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",33200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",121200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",69800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",123800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",101100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Value",1027000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","Total","Count","Confidence",43200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",79300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",56000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",23300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",235900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",27700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",79100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",69300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",59800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",169600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",49200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",87600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",152200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",123000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",29300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",136100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",121500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",99500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",65800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",119200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",109400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",295800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",25300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",65500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",33000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Value",187800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",36400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",58400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",33000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Value",108000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",22800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000004","East Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Value",2831000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","Total","Count","Confidence",70100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",278100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",189400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",88700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",699800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",186700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",162600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",153000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",197400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",411500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",26700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",62900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",203000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",276000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",237200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",38900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",240900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",94000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",74100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",47600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",263700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",223500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",37100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",168600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",131000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",37500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",193800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",78200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",115600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",293900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",48100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",245800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Value",1481800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","Total","Count","Confidence",50700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",184600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",128500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",56000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",348700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",143400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Value",47500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",55900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",219600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",38100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",29800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",29500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",111300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",74400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",72100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",212300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",91000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",71600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",51900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",61700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",48900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",168900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",60200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",108700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",156300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",37900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",118400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Value",1349200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","Total","Count","Confidence",48400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",93500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",60900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",351100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",43400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Value",115100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",97100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",95600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",192000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",52000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",91700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",201700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",165100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",36600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",28600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",211900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",186100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",106800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",82200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",137600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",127400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Value",2491900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","Total","Count","Confidence",65800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",227200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",159000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",68200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",638700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",169800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",145800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",140900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",182100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",354400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",51900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",54400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",185400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",268800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",230700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",20000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",38200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",163400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",82800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",31600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",39800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",240100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",213300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",159500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",121900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",37500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",159500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",74800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",84700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",275800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",38300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",237500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Value",1259300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","Total","Count","Confidence",46800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",148300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",106900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",41400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",314800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",23400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",128200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",40000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",52100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",94500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",191700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",29800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",101600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",71500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",69200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",143800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",79800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",26400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",46300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",56200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",43400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",138100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",57400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",80700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",145100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",116200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Value",1232700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","Total","Count","Confidence",46300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",78900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",52100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",26800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",323900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",23700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",41600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",105900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",88800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",87700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",162600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",45100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",83900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",197300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",161500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",193800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",177600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",103200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",78500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",130700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",121300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Value",330900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","Total","Count","Confidence",24000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",50700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",30200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",59600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",11900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",54200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",30100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",76500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",41900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",22500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",34300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Value",218500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","Total","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",36100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",21500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",26600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",67700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",40600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",30800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Value",112500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","Total","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",27000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",27600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000005","West Midlands","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","Total","Count","Value",3191500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","Total","Count","Confidence",79500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",413400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",28600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",291700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",121700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",816100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",40200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",249100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",144700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",167300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",255000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",22500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",471800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",52100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",73300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",50500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",54500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",241400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",326400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",275000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",23400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",51300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",271300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",93700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",52900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",264100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",213000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",49700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",168200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",134100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",34100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",188200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",58700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",129600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",268300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",242700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","Total","Count","Value",1673500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","Total","Count","Confidence",57600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",259200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",185700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",73500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",419200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",190700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",37500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",55000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",136000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",250600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",39500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",38100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",28400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",131800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",72300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",70300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",240700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",89400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",88700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",56800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",42400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",70400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",57100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",164300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",121000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",138600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",121100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","Total","Count","Value",1518000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","Total","Count","Confidence",54900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",154200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",106000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",48200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",396900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",28100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",58500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",107200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",112300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",119000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",221300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",60500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",109600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",254100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",204700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",49400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",207400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",170600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",97900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",77000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",23900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",129700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",121600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","Total","Count","Value",2745500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","Total","Count","Confidence",73800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",347500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",252700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",94900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",743500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",38400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",230200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",130600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",153400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",229300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",21300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",414000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",28600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",50700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",65800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",49600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",23900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",224000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",306700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",258700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",48000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",156200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",78300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",27200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",38500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",224800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",187500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",156600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",122900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",33700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",149700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",48900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",100800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",242900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",225400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","Total","Count","Value",1397900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","Total","Count","Confidence",52600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",216400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",156700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",59700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",379100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",27400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",175300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",34500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",50500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",118700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",220900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",20900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",38400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",37200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",121400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",68900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",66900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",137400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",73900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",26500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",26100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",49900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",37700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",65900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",53000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",131600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",95700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",126300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",115200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","Total","Count","Value",1347600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","Total","Count","Confidence",51700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",131100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",96000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",35100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",364500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",54900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",96100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",102900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",110600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",193000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",54200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",102600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",237800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",21700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",191800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",46000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",174900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",149800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",25100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",90700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",69900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",116600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",110200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Value",433800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","Total","Count","Confidence",29300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",62300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",37300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",25100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",72600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",25700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",57700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",113700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",62700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",36400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",38500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",28700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",25000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Value",270900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","Total","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",40800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",27600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",40100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",103300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",32700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Value",162900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","Total","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",21600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",32500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",28000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",30900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000006","East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","Total","Count","Value",4867800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","Total","Count","Confidence",116100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",732600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",45000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",561700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",39400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",170900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1655600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",67700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",456900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",35600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",238800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",25700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",272500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",687400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",43600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",810900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",47400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",66500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",88600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",36800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",195700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",423400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",34200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",395700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",33100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",324100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",30000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",71600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",232000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",48500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",101100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",70800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",352000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",31200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",261900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",85700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",209500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",24100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",151400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",58100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",171400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",33500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",138000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",299000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",22900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",276100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",27700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","Total","Count","Value",2605800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","Total","Count","Confidence",85000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",452300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",35400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",337300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",115000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",883000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",49500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",331000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",30300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Value",61200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",106500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",384400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",435100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",47600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",26600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",118700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",224800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",25000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",135500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",120300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",204300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",47400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",99200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",48800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",89700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",36500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",88400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",64900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",151300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",24800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",126500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",161700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",142000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","Total","Count","Value",2261900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","Total","Count","Confidence",79200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",280300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",27900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",224300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",56000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",772600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",46300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",125900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Value",177600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",166000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",303000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",29000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",375800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",32300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",71100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",77000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",198500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",260200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",26800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",203800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",23800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",56300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",27700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",22100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",262300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",27000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",213200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",24300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",49100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",121100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",86400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",34700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",137300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",134100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","Total","Count","Value",4093900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","Total","Count","Confidence",106500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",606200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",41000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",473200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",36200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",133100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",19200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1464400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",63700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",414100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",33900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",212300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",24300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",246600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",26100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",591400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",40500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",641000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",42100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",60900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",73200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",36500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",81500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",388800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",32800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",375200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",32200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",306100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",29100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",69100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",141500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",39900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",37100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",58300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",299600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",232100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",63000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",190200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",23000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",137000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",53200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",99200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",78400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",268200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",27300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",251700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",26400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","Total","Count","Value",2108600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","Total","Count","Confidence",76400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",360100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",31600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",272100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",88000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",771300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",46200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",300000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",51800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",98400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",321200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",29800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",332200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",30300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",42900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",203800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",128400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",113100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",17700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",121900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",38800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",36200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",42300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",78700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",41700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",32500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",75500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",54200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",21300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",88700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",74200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",147400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",20200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",134100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","Total","Count","Value",1985300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","Total","Count","Confidence",74200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",246100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",26100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",201100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",23600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",45000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",693100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",43800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",114100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",160500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",148200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",270200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",27400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",308800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",29200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",37200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",185000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",246900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",193000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",53900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",1700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",220900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",190400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",23000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",114800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",82800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",31900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",120800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",117600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Value",750800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","Total","Count","Confidence",45600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",123500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",86800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",36600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",185000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",40700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",93300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",165100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",114200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",32700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",14200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",88800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",63200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",49900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",27300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",19300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",72300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",59600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Value",484200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","Total","Count","Confidence",36600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",90800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",64500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",107900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",17300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",29600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",62200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",101100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",74400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",81600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",62100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",62700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",52300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Value",266500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","Total","Count","Confidence",27200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",32700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",77200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",14600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",31200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",64000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",39800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",40100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",10500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",21500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",16500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000007","London","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","Total","Count","Value",4743900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","Total","Count","Confidence",87600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",620600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",31700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",440200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",26700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",180400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",1309100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",46000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",424000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",211300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",18500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",258700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",415000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",737500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",34500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",96500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",107600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",60500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",103900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",369000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",426000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",26200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",349600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",23800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",76400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",393300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",54300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",128300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",136400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",74300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",393700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",25200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",307300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",81700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",263000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",20600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",207400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",216300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",18700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",69200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",147100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",377200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",41000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",336200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","Total","Count","Value",2454600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","Total","Count","Confidence",63000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",375800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",275400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",21100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",100400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",672100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",33000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",312100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",22500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Value",56600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",83900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",219500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",18800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",367700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",73100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",39700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",45800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",196600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",96800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",92800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",342200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",45400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",122000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",133000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",41800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",88400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",26800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",118700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",96400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",192000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",54400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",137600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",199400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",32800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",166600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","Total","Count","Value",2289300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","Total","Count","Confidence",60800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",244800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",164800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",80000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",11400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",637000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",32100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",111900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Value",154700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",174800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",195500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",369800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",23400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",95100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",58100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",172400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",329200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",23100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",256800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",72400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",51100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",32600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",305200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",22200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",249100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",54900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",144300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",111000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",24300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",14800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",177800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",169600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Value",4058200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","Total","Count","Confidence",81000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",513100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",28800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",384300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",128900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",1168800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",43500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",391200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",25100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",181500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",236700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",19600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",359500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",24100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",630100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",31900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",93400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",93400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",48300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",336800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",404000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",25600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",333200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",70800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",234800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",109200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",44200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",61100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",335900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",23300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",272700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",58600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",245600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",19900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",190000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",172500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",61300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",111100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",347000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",23700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",31300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",315700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","Total","Count","Value",2030900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","Total","Count","Confidence",57300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",311800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",22400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",238900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",19700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",72900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",590100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",285000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",21500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",44300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",78800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",182100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",317500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",70800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",37400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",178900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",89300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",85200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",196500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",102900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",42400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",34100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",78500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",50800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",108900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",86600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",22300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",154100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",49200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",104800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",183400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",17200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",23700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",159700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","Total","Count","Value",2027300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","Total","Count","Confidence",57200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",201300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",145300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",56000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",578700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",106200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",137200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",158000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",177300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",312600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",22500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",83900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",20800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",27500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",157900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",314700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",248000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",20000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",66800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",38300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",27000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",257300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",20400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",221900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",18900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",34200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",136700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",103400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",4400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",163600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",156000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Value",669400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","Total","Count","Confidence",32900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",102300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",54100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",48200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",137300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",32000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",29900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",21700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",53800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",104600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",31000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",19000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",158400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",16000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",34000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",92200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",56500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",23200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",43700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",35900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",29800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",20100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Value",413300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","Total","Count","Confidence",25800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",59400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",34700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",79200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",26300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",35600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",49300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",24700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",145600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",28300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",19100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",9800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",37900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",7800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",32700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Value",256100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","Total","Count","Confidence",20300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",42900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",23500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",58000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",9700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",18100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",5600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",1600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",46600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",25900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",14100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000008","South East","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","Total","Count","Value",2852200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","Total","Count","Confidence",62300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",339200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",21500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",224000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",115200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",12500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Value",755200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","2 : Professional Occupations","Count","Confidence",32100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",246600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",18300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Value",144700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","22 : Health Professionals","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",149500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",214500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",423200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",24000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",56700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",67000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Value",35500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",73700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",190200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",235700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Value",196300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",16300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",39400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",275500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",51600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",79900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",94100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",49900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",235500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",185000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",48700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",164000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Value",131800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","71 : Sales Occupations","Count","Confidence",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Value",32100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",154600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",60200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",94400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Value",267600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",19100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",38800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",228800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",17600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","Total","Count","Value",1466800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","Total","Count","Confidence",44700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",205600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",16700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",144800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",60900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",9100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Value",379800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",184200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Value",33900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","22 : Health Professionals","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",48600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",8100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",113100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",213700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",42900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Value",27200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",38800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",93300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",53600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Value",51300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",234300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",17900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",38200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",75900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",90900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",29200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",44000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",35300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",67300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Value",53700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","71 : Sales Occupations","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",139000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",51300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",87700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Value",128100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",28900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",99200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","Total","Count","Value",1385400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","Total","Count","Confidence",43400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",133600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Value",79200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Value",54300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Value",375400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","2 : Professional Occupations","Count","Confidence",22600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",62400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Value",110800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","22 : Health Professionals","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",100900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",101400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Value",209500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","3 : Associate Professional Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",55600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Value",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",96900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",182100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Value",144900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","41 : Administrative Occupations","Count","Confidence",14000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Value",37200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Value",41200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",191500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Value",149800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",14300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",41500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",96700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Value",78100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","71 : Sales Occupations","Count","Confidence",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","72 : Customer Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Value",139500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","9 : Elementary Occupations","Count","Confidence",13800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",129600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Total","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Value",2381200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","Total","Count","Confidence",56900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",267500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",19100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",191000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",16100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",76500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",10200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Value",667700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",30100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",223300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Value",126200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","22 : Health Professionals","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",133700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",184400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",348100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",21800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",54400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",35200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",26700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",173600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",15400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",222000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",17400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Value",183600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",38400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",151900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",14400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",16400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",67100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",33600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",203500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",16600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",171200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",15300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",30500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",155200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",14500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Value",123100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",12900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",32100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",125600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",53600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",71900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Value",238400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",18000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",27400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",211000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",16900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","Total","Count","Value",1181200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","Total","Count","Confidence",40100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",159300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",14700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",117600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",41700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Value",330600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",168000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Value",27400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","22 : Health Professionals","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",43300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",91800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",179700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",41400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",26900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",17500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",4900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",84700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",51900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Value",49600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",129900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",13300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",13400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",63700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",32300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",20500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",41300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",7500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",33800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",6000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",2900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",62400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Value",48900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",113000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",12400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",46500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",66500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",9500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Value",112000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",12300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",92500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","Total","Count","Value",1200100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","Total","Count","Confidence",40400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",108200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Value",73300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Value",34900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",6900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Value",337100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","2 : Professional Occupations","Count","Confidence",21400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",55300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Value",98800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","22 : Health Professionals","Count","Confidence",11600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",90400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",11100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",92600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Value",168400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","3 : Associate Professional Occupations","Count","Confidence",15100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",13000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",49000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",8200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Value",8300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","33 : Protective Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",9200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",88800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",11000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",170100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Value",134000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","41 : Administrative Occupations","Count","Confidence",13500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Value",36100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",7000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Value",22000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",2500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",162200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",14900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Value",137400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",13700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",24500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",92800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",11200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Value",74200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","71 : Sales Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Value",18600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","72 : Customer Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",12600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Value",126300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","9 : Elementary Occupations","Count","Confidence",13100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",7900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",118500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Employee","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Value",456500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","Total","Count","Confidence",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",68200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",9600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",30600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",37600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",85200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",10800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",22100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Value",18400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",15200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",29500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",73600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",10000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",2200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",46400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",15900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",4700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",10900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",121200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",12800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",33900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",6800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",12700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",58800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",31800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",13600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",8700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",27800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",6200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",21900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",27800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",6100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",10600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",17100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","All persons","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Value",277700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","Total","Count","Confidence",19400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",43600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",7700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",47600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",8000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",15000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",4500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Value",6500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",5400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",33500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",6700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",1400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",2100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"H","Estimate is less than 500" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",21000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",8600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",103000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",11800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",23900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",5700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",12100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",58200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",8900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",8800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",1900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",1500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",24900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",4200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",2400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",20700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",5300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",15800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",9300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",6400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Males","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Value",178900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","Total","Count","Confidence",15600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Value",24600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","1 : Managers, Directors And Senior Official","Count","Confidence",5800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Value",5200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","11 : Corporate Managers And Directors","Count","Confidence",2700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Value",19500,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","12 : Other Managers And Proprietors","Count","Confidence",5100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Value",37600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","2 : Professional Occupations","Count","Confidence",7200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","21 : Science, Research, Engineering And Technology Professionals","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","22 : Health Professionals","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Value",10100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","23 : Teaching And Other Educational Professionals","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Value",8400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","24 : Business, Media And Public Service Professionals","Count","Confidence",3400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Value",40200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","3 : Associate Professional Occupations","Count","Confidence",7400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Value",800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","31 : Science, Engineering And Technology Associate Professionals","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Value",6600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","32 : Health And Social Care Associate Professionals","Count","Confidence",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","33 : Protective Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Value",25400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","34 : Culture, Media And Sports Occupations","Count","Confidence",5900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Value",7300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","35 : Business And Public Service Associate Professionals","Count","Confidence",3200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Value",10300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","4 : Administrative And Secretarial Occupations","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Value",9400,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","41 : Administrative Occupations","Count","Confidence",3600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Value",900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","42 : Secretarial And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Value",18200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","5 : Skilled Trades Occupations","Count","Confidence",5000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Value",9900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","51 : Skilled Agricultural And Related Trades","Count","Confidence",3700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","52 : Skilled Metal, Electrical And Electronic Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Value",600,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","53 : Skilled Construction And Building Trades","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Value",7100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","54 : Textiles, Printing And Other Skilled Trades","Count","Confidence",3100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Value",29100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","6 : Caring, Leisure And Other Service Occupations","Count","Confidence",6300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Value",12200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","61 : Caring Personal Service Occupations","Count","Confidence",4100,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Value",17000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","62 : Leisure, Travel And Related Personal Service Occupations","Count","Confidence",4800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","63 : Community And Civil Enforcement Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","7 : Sales And Customer Service Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Value",3900,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","71 : Sales Occupations","Count","Confidence",2300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Value",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","72 : Customer Service Occupations","Count","Confidence",,"F","Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Value",3000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","8 : Process, Plant And Machine Operatives","Count","Confidence",2000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Value",1800,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","81 : Process, Plant And Machine Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Value",1200,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","82 : Transport And Mobile Machine Drivers And Operatives","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Value",12000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","9 : Elementary Occupations","Count","Confidence",4000,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Value",1300,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","91 : Elementary Trades And Related Occupations","Count","Confidence",,"G","Estimate and confidence interval unreliable since the group sample size is small (3-9)" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Value",10700,"A","Normal Value" +"Jan 2025-Dec 2025","E12000009","South West","Females","Self-employed","Total","Total","92 : Elementary Administration And Service Occupations","Count","Confidence",3800,"A","Normal Value" diff --git a/db/data/ons/aps218_occupation_jan_dec_2025/manifest.yaml b/db/data/ons/aps218_occupation_jan_dec_2025/manifest.yaml new file mode 100644 index 00000000..36b23194 --- /dev/null +++ b/db/data/ons/aps218_occupation_jan_dec_2025/manifest.yaml @@ -0,0 +1,41 @@ +source_id: ons +package_id: ons-aps218-occupation-jan-dec-2025 +dataset: ons_ons-aps218-occupation-jan-dec-2025 +source_page: https://www.nomisweb.co.uk/datasets/aps218 +table: 'Nomis APS218: annual population survey - regional - occupation (SOC2020) by + sex by employment type' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Population Survey, Nomis + dataset APS218 (NM_218_1), Jan 2025-Dec 2025. Contains public sector information + licensed under the Open Government Licence v3.0.' +license_evidence: 'Nomis''s copyright page (https://www.nomisweb.co.uk/home/copyright.asp) + states: ''Under the terms of the Open Government Licence (OGL) and UK Government + Licensing Framework ... anyone wishing to use or re-use ONS material, whether commercially + or privately, may do so freely without a specific application for a licence, subject + to the conditions of the OGL and the Framework.'' Its exceptions (third-party material, + the Business Register and Employment Survey, Ordnance Survey maps) do not cover + the Annual Population Survey.' +license_verified_at: '2026-11-04' +files: + 2025: + filename: aps218_occupation_jan_dec_2025.csv + source_url: https://www.nomisweb.co.uk/api/v01/dataset/NM_218_1.data.csv?geography=2092957697,2092957699,2092957700,2092957701,2092957702,2013265921,2013265922,2013265923,2013265924,2013265925,2013265926,2013265927,2013265928,2013265929&date=2025-12&c_sex=0,1,2&etype=0,1,2&ftpt=0&jtype=0&soc2020_full=0,1000001,100000,100001,2000000,200000,200001,200002,200003,3000000,300000,300001,300002,300003,300004,4000000,400000,400001,5000000,500000,500001,500002,500003,6000000,600000,600001,600002,7000000,700000,700001,8000000,800000,800001,9000000,900000,900001&measure=1&measures=20100,20701&select=date_name,geography_code,geography_name,c_sex_name,etype_name,ftpt_name,jtype_name,soc2020_full_name,measure_name,measures_name,obs_value,obs_status,obs_status_name + sha256: 656944f1b50522bdc3482262c94dc87d2665dcd67dad05d2e3bf4c1fbbc0f2b3 + size_bytes: 1620628 + fetched_at: '2026-11-04T12:54:50+00:00' + nomis_dataset: NM_218_1 + nomis_date: 2025-12 + nomis_date_label: Jan 2025-Dec 2025 + nomis_date_revision: + version: 0 + released: '2026-04-21 07:00:00' + status: current + nomis_dataset_last_revised: '2023-01-27 10:00:00' + nomis_dataset_last_updated: '2026-10-20 07:00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-aps218-occupation-jan-dec-2025/2025/656944f1b50522bdc3482262c94dc87d2665dcd67dad05d2e3bf4c1fbbc0f2b3/aps218_occupation_jan_dec_2025.csv + uri: r2://ledger-raw/raw/uk/ons/ons-aps218-occupation-jan-dec-2025/2025/656944f1b50522bdc3482262c94dc87d2665dcd67dad05d2e3bf4c1fbbc0f2b3/aps218_occupation_jan_dec_2025.csv diff --git a/db/data/ons/ashe_table2_2024_revised/ashetable22024revised.zip b/db/data/ons/ashe_table2_2024_revised/ashetable22024revised.zip new file mode 100644 index 00000000..cd069e1d Binary files /dev/null and b/db/data/ons/ashe_table2_2024_revised/ashetable22024revised.zip differ diff --git a/db/data/ons/ashe_table2_2024_revised/manifest.yaml b/db/data/ons/ashe_table2_2024_revised/manifest.yaml new file mode 100644 index 00000000..407d550a --- /dev/null +++ b/db/data/ons/ashe_table2_2024_revised/manifest.yaml @@ -0,0 +1,28 @@ +source_id: ons +package_id: ons-ashe-table2-2024-revised +dataset: ons_ons-ashe-table2-2024-revised +source_page: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 +table: 'ASHE Table 2: earnings and hours worked, occupation by two-digit SOC, 2024 + revised' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Survey of Hours and Earnings, + Table 2, 2024 revised (released 23 October 2025, corrected 3 November 2025). Contains + public sector information licensed under the Open Government Licence v3.0.' +license_evidence: 'ONS pages state: ''All content is available under the Open Government + Licence v3.0, except where otherwise stated.'' (dataset page https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2); + the workbooks state no other terms.' +license_verified_at: '2026-11-04' +files: + 2024: + filename: ashetable22024revised.zip + source_url: https://www.ons.gov.uk/file?uri=/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2/2024revised/ashetable22024revised.zip + sha256: 684813289945144e8198e23d4b73ce3b5b18c5fd60b1dc546ab6da0d79de57c3 + size_bytes: 1395477 + fetched_at: '2026-11-04T13:01:46+00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-ashe-table2-2024-revised/2024/684813289945144e8198e23d4b73ce3b5b18c5fd60b1dc546ab6da0d79de57c3/ashetable22024revised.zip + uri: r2://ledger-raw/raw/uk/ons/ons-ashe-table2-2024-revised/2024/684813289945144e8198e23d4b73ce3b5b18c5fd60b1dc546ab6da0d79de57c3/ashetable22024revised.zip diff --git a/db/data/ons/ashe_table2_2025_revised/ashetable22025revised.zip b/db/data/ons/ashe_table2_2025_revised/ashetable22025revised.zip new file mode 100644 index 00000000..3221db61 Binary files /dev/null and b/db/data/ons/ashe_table2_2025_revised/ashetable22025revised.zip differ diff --git a/db/data/ons/ashe_table2_2025_revised/manifest.yaml b/db/data/ons/ashe_table2_2025_revised/manifest.yaml new file mode 100644 index 00000000..6f0433f8 --- /dev/null +++ b/db/data/ons/ashe_table2_2025_revised/manifest.yaml @@ -0,0 +1,28 @@ +source_id: ons +package_id: ons-ashe-table2-2025-revised +dataset: ons_ons-ashe-table2-2025-revised +source_page: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 +table: 'ASHE Table 2: earnings and hours worked, occupation by two-digit SOC, 2025 + revised' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Survey of Hours and Earnings, + Table 2, 2025 revised (released 22 October 2026). Contains public sector information + licensed under the Open Government Licence v3.0.' +license_evidence: 'ONS pages state: ''All content is available under the Open Government + Licence v3.0, except where otherwise stated.'' (dataset page https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2); + the workbooks state no other terms.' +license_verified_at: '2026-11-04' +files: + 2025: + filename: ashetable22025revised.zip + source_url: https://www.ons.gov.uk/file?uri=/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2/2025revised/ashetable22025revised.zip + sha256: 99c6b4ca8b203f02f03a23dbd1d98b1941418b6ae8422f960f6d6ebbe9dd912f + size_bytes: 1438576 + fetched_at: '2026-11-04T13:01:56+00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-ashe-table2-2025-revised/2025/99c6b4ca8b203f02f03a23dbd1d98b1941418b6ae8422f960f6d6ebbe9dd912f/ashetable22025revised.zip + uri: r2://ledger-raw/raw/uk/ons/ons-ashe-table2-2025-revised/2025/99c6b4ca8b203f02f03a23dbd1d98b1941418b6ae8422f960f6d6ebbe9dd912f/ashetable22025revised.zip diff --git a/db/data/ons/ashe_table2_2026_provisional/ashetable22026provisional.zip b/db/data/ons/ashe_table2_2026_provisional/ashetable22026provisional.zip new file mode 100644 index 00000000..51b6c43c Binary files /dev/null and b/db/data/ons/ashe_table2_2026_provisional/ashetable22026provisional.zip differ diff --git a/db/data/ons/ashe_table2_2026_provisional/manifest.yaml b/db/data/ons/ashe_table2_2026_provisional/manifest.yaml new file mode 100644 index 00000000..7bd7f414 --- /dev/null +++ b/db/data/ons/ashe_table2_2026_provisional/manifest.yaml @@ -0,0 +1,28 @@ +source_id: ons +package_id: ons-ashe-table2-2026-provisional +dataset: ons_ons-ashe-table2-2026-provisional +source_page: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 +table: 'ASHE Table 2: earnings and hours worked, occupation by two-digit SOC, 2026 + provisional' +license: Open Government Licence v3.0 +license_url: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ +attribution: 'Source: Office for National Statistics, Annual Survey of Hours and Earnings, + Table 2, 2026 provisional (released 22 October 2026). Contains public sector information + licensed under the Open Government Licence v3.0.' +license_evidence: 'ONS pages state: ''All content is available under the Open Government + Licence v3.0, except where otherwise stated.'' (dataset page https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2); + the workbooks state no other terms.' +license_verified_at: '2026-11-04' +files: + 2026: + filename: ashetable22026provisional.zip + source_url: https://www.ons.gov.uk/file?uri=/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2/2026provisional/ashetable22026provisional.zip + sha256: a376d72de94dfabb66645ba1ecd49f74e19efa6a971e69a52816f47c552c1b4b + size_bytes: 1441975 + fetched_at: '2026-11-04T13:02:07+00:00' + storage: + r2: + provider: r2 + bucket: ledger-raw + key: raw/uk/ons/ons-ashe-table2-2026-provisional/2026/a376d72de94dfabb66645ba1ecd49f74e19efa6a971e69a52816f47c552c1b4b/ashetable22026provisional.zip + uri: r2://ledger-raw/raw/uk/ons/ons-ashe-table2-2026-provisional/2026/a376d72de94dfabb66645ba1ecd49f74e19efa6a971e69a52816f47c552c1b4b/ashetable22026provisional.zip diff --git a/docs/data-sources/uk-occupation-facts.md b/docs/data-sources/uk-occupation-facts.md new file mode 100644 index 00000000..c3161908 --- /dev/null +++ b/docs/data-sources/uk-occupation-facts.md @@ -0,0 +1,206 @@ +# UK occupation facts for chronicle#407 + +[chronicle#407](https://github.com/PolicyEngine/chronicle/issues/407) asks for published +occupation totals that Microcosm UK can check its new occupation variable against +([PolicyEngine/microcosm#1490](https://github.com/PolicyEngine/microcosm/issues/1490)): +the Annual Population Survey's people in employment by SOC 2020 major and sub-major group, +from Nomis, and ASHE Table 2's earnings by two-digit SOC. Both are ONS publications of +aggregates under the Open Government Licence v3.0. No survey microdata is read or stored; +the values are the publisher's own cells, with the publisher's suppression. + +`scripts/build_uk_occupation_packages.py` writes the fifteen packages from the pinned bytes +and asserts the publisher's text cell by cell. `--check` compares its output with the +committed YAML, and `tests/test_source_uk_occupation_facts.py` runs it. + +## Sources + +| Packages | File | Publisher, date | sha256 | +|---|---|---|---| +| `ons-aps218-occupation-apr-2024-mar-2025` | `aps218_occupation_apr_2024_mar_2025.csv` | Nomis APS218, Apr 2024-Mar 2025, released 17 July 2025 | `15f0cc06…` | +| `ons-aps218-occupation-jan-dec-2025` | `aps218_occupation_jan_dec_2025.csv` | Nomis APS218, Jan 2025-Dec 2025, released 21 April 2026 | `656944f1…` | +| `ons-aps218-occupation-apr-2025-mar-2026` | `aps218_occupation_apr_2025_mar_2026.csv` | Nomis APS218, Apr 2025-Mar 2026, released 21 July 2026 | `12deddc0…` | +| `ons-ashe-table2-{weekly,annual}-pay-gross[-cv]-2024-revised` | `ashetable22024revised.zip` | ONS, ASHE Table 2, 2024 revised, released 23 October 2025, corrected 3 November 2025 | `68481328…` | +| `ons-ashe-table2-{weekly,annual}-pay-gross[-cv]-2025-revised` | `ashetable22025revised.zip` | ONS, ASHE Table 2, 2025 revised, 22 October 2026 | `99c6b4ca…` | +| `ons-ashe-table2-{weekly,annual}-pay-gross[-cv]-2026-provisional` | `ashetable22026provisional.zip` | ONS, ASHE Table 2, 2026 provisional, 22 October 2026 | `a376d72d…` | + +Each Nomis file is one pinned API response; its manifest records the query and Nomis's +revision metadata for the period. Each ASHE zip is shared by four packages, one per +workbook member. All six files are committed and in R2: `chronicle publish-raw` wrote each +manifest's `storage.r2` block, and `chronicle verify-raw` reads every object back. + +Two rules for reading these facts: + +- **Select by concept.** An estimate, its confidence interval and its coefficient of + variation have different concepts (and different `statistic` values), so a reader + that selects by concept and dimensions gets one fact, never an estimate summed with + its interval or CV. +- **One SOC level at a time.** A record set's detail rows hold both major and sub-major + groups. Select one level by `soc2020_major_group` or `soc2020_sub_major_group` and + never sum across both: summing every detail row counts each person twice. + +## 1. Annual Population Survey: people in employment by occupation (Nomis APS218) + +Nomis dataset APS218 (`NM_218_1`), "annual population survey - regional - occupation +(SOC2020) by sex by employment type". Three packages, 24,956 facts. + +- **What is ported:** the count of people in employment, and the half-width of its + confidence interval where Nomis publishes one, by: + - all occupations, the nine SOC 2020 major groups and the 26 sub-major groups; + - sex: all persons, males, females; + - employment type: all, employees, self-employed; + - the UK, England, Wales, Scotland, Northern Ireland and the nine English regions. +- **Not ported:** + - Nomis's fourth employment type, "Other", which "includes unpaid family worker", so + employees and the self-employed do not add to all; + - the full-time/part-time and permanent/temporary splits; every fact is their total; + - the "Rate" measure, each cell's share of all in employment in the area; + - minor and unit groups (the four-digit tables are out of scope). +- **Semantics:** + - Concept `ons.aps_people_in_employment` for the estimates and + `ons.aps_people_in_employment_confidence_interval_half_width` for their intervals, + both counts of people; entity `person`, role `in_employment`, `survey_aggregate`, + survey instrument `Annual Population Survey`. + - Residence based: Nomis describes the APS as "a residence based labour market survey". + - Nomis rounds every count to the nearest hundred. +- **Dimensions:** + - `sex` (`all`, `male`, `female`); + - `employment_status` (`all`, `employee`, `self_employed`); + - `statistic` (`estimate`, `confidence_interval_half_width`); + - `soc2020_major_group` (1 to 9) on major-group facts, `soc2020_sub_major_group` (11 + to 92) on sub-major facts: select one level and never sum across both; + - the record sets' groupby axis is `soc2020_group`, whose `all` rows are totals. +- **Confidence intervals:** Nomis labels the measure "Confidence" and publishes it beside + each estimate as a plus-or-minus half-width. Its dataset pages do not state the level. + Scottish Government APS publications call the limits Nomis publishes 95 per cent + limits, so the value is `confidence_interval_half_width`, not `ci_95_half_width`. +- **Reliability flags.** Nomis flags every cell in its status column: + - A, "Normal Value"; + - F, "Estimate and confidence interval not available since the group sample size is + zero or disclosive (0-2)"; + - G, "Estimate and confidence interval unreliable since the group sample size is small + (3-9)"; + - H, "Estimate is less than 500". + + A blank cell (F or H) emits no fact. Nomis marks an interval G, and in a few dozen + cells per period F, while still printing the estimate. That estimate is ported with its + interval's status cell guarded, so the flag is in the fact's source-cell lineage, and + no interval fact is emitted. Chronicle's fact model has no quality field, so the flag + is not a fact field; a consumer can tell these estimates by the missing interval fact. +- **Periods.** Nomis publishes rolling twelve-month periods every quarter. Chronicle's + period types cover the April-to-March and January-to-December windows only: + - Apr 2024-Mar 2025 is `fiscal_year` 2024 (the FRS 2024-25 year); + - Jan 2025-Dec 2025 is `calendar_year` 2025; + - Apr 2025-Mar 2026 is `fiscal_year` 2025; + - the exact dates are in `period_coverage` (basis `survey_reference`), as the + house-price packages store a year ending in March. + + Jul 2025-Jun 2026, the latest period, and the other July-to-June and + October-to-September windows have no period type and are not ported. +- **Revision note.** Nomis's metadata records one revision of the dataset: on 27 January + 2023 it re-released October 2021 to September 2022, "Estimates revised due to + identified error". That period is not ported. The three ported periods are each + revision 0. Every package header and manifest records this. +- **Parity**, asserted by the generator and the test on the published estimates: + - each major group's sub-major groups add to it, within rounding (50 per summed cell); + - the four countries add to the UK, and the nine regions to England, within rounding; + - the nine major groups add to less than the all-occupations total, never more beyond + rounding. The gap is at most 0.51, 0.36 and 0.34 per cent of the total in the three + periods in order, and 0.13 to 0.14 per cent for the UK's all persons. Nomis publishes + no residual + category, so the difference is people in employment in the total and in no major + group. The issue's "major groups sum to the total, within rounding" therefore holds + as a bound, not as an equality. + +## 2. ASHE Table 2: earnings by two-digit SOC + +ONS's [ASHE Table 2](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2), +United Kingdom. Twelve packages, 48,083 facts. + +- **Editions and tables.** For each edition (2024 revised, 2025 revised, 2026 + provisional): + - Table 2.1a, gross weekly pay, and Table 2.7a, gross annual pay; + - Tables 2.1b and 2.7b, the coefficients of variation ONS publishes for them. +- **Rows and sheets.** Every sheet but the notes: all employee jobs, male, female, + full-time, part-time and the four sex by working-pattern sheets. Each sheet's "All + employees" row, its nine major groups and its 26 sub-major groups. +- **Measures:** + - the number of jobs (thousand), which ONS calls "for indicative purposes only"; + - the median, the mean and the 10th, 20th, 25th, 30th, 40th, 60th, 70th, 75th, 80th + and 90th percentiles; + - the annual percentage changes are not ported. +- **Concepts:** + - `ons.ashe_gross_weekly_pay` and `ons.ashe_gross_annual_pay`: aggregation `median`, + `mean` or `quantile` (with `earnings_percentile`), unit `gbp`; + - `ons.ashe_weekly_pay_jobs` and `ons.ashe_annual_pay_jobs`: the indicative job counts, + which differ between the tables because their populations differ; + - each CV takes its estimate's concept with the suffix `_coefficient_of_variation` + (for example `ons.ashe_gross_weekly_pay_coefficient_of_variation`), its estimate's + aggregation and dimensions, and unit `percent`; + - entity `person`, role `employee_job`, as the ASHE pension packages use. +- **Dimensions:** `sex`, `working_pattern` (`all`, `full_time`, `part_time`), + `statistic` (`estimate` or `coefficient_of_variation`), and `soc2020_major_group` or + `soc2020_sub_major_group` (select one level and never sum across both). +- **Jobs, not people.** ASHE "is based on a 1% sample of jobs taken from HM Revenue and + Customs' Pay As You Earn (PAYE) records", so someone with two jobs can appear twice. It + "does not cover the self-employed". +- **Periods:** + - Weekly pay relates to the pay period that includes the survey reference date, so it + is `calendar_year` Y with that date in `period_coverage`: 17 April 2024, 30 April + 2025 and 22 April 2026, from the bulletins. + - Annual pay is "for the tax year that ended on 5th April in the reference year", so it + is `tax_year` Y-1 (6 April to 5 April). It covers employees in the same job for more + than a year. +- **Quality markers.** The estimate tables show each cell's CV band only by colour, which + Chronicle does not read, and print "x" where the CV is over 20 per cent ("Estimates + with a CV greater than 20% are suppressed from publication on quality grounds"). So: + - each CV is ported as its own fact, which carries the band; + - an "x" cell emits no fact, and neither does a CV cell marked "." ("unavailable" in + the CV key), found only in the 2024 tables; + - a row with such a cell sits in a record set whose measures leave that column out + (`…without_p90` and the like), so the row's other cells are ported; + - the "Not Classified" row prints ":" ("not applicable") and emits no fact. + + In 2025 and 2026 the two tables mark the same cells "x". The 2024 CV tables still print + the CV of each estimate suppressed for a CV over 20 per cent (53 weekly and 85 annual + cells), and those CVs are ported. +- **Corrections:** + - 3 November 2025: ONS first published the 2024 provisional data as the 2024 revised + table, on 23 October 2025, and then replaced it. The pinned zip, fetched on 4 + November 2026, is the corrected table. + - 19 December 2025: ONS suppressed the 2025 provisional annual pay estimates for + occupations 3312, 331 and 33 (police) for London, the South East, East and the UK. + Table 2 is two-digit, so only sub-major group 33's UK row is affected. The 2025 + provisional Table 2.7a prints "x" for that row's pay in every sheet; the 2025 revised + Table 2.7a restores it, keeping "x" only where a part-time CV is over 20 per cent. + The 2025 provisional edition is not ported. +- **Parity.** Each edition's full-time all-employees median matches the bulletin's + headline to the bulletin's rounding: + + | Edition | Weekly (Table 2.1a) | Annual (Table 2.7a) | Bulletin | + |---|---|---|---| + | 2024 revised | 728.3 | 37,439 | "£728.27 in April 2024", "£37,439" ([Employee earnings in the UK: 2025](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2025)) | + | 2025 revised | 766.6 | 39,157.2 | "£766.60 in April 2025", "£39,157" ([Employee earnings in the UK: 2026](https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2026)) | + | 2026 provisional | 811.2 | 40,911.2 | "£811.20 in April 2026", "£40,911" (the same bulletin) | + +## Labels + +Both sources word the SOC 2020 groups their own way: Nomis capitalises them and cuts +major group 1 short. Every row is therefore labelled in ASHE Table 2's wording, and each +row's guards compare the publisher's own text. + +The values these packages share are added to +`chronicle/dimension_values/canonical_labels.json`, each with the one wording the packages +use: + +- `soc2020_group`: 36 values; +- `soc2020_sub_major_group`: 26 values; +- `employment_status`, `working_pattern`: 3 values each; +- `earnings_percentile`: 10 values; +- `statistic`: `confidence_interval_half_width` and `coefficient_of_variation`. + +The register's label for `soc2020_major_group` 3 changes from "Associate professional and +technical occupations", the SOC 2010 name the ASHE pension tables print, to SOC 2020's +"Associate professional occupations", the name ASHE Table 2 and Nomis print. Fifteen +packages word it this way against the pension tables' five, so it follows the register's +majority rule; `CHOSEN_LABELS` records the choice. The five pension packages' declarations +follow the register, and their row headers keep ONS's text. diff --git a/docs/pe-uk-source-checklist.md b/docs/pe-uk-source-checklist.md index 00aaf4d8..9aca512d 100644 --- a/docs/pe-uk-source-checklist.md +++ b/docs/pe-uk-source-checklist.md @@ -389,6 +389,37 @@ contracts and caveats are in - **Gas in the CPI.** The CPI weights for 04.5.2 and its two classes, 2024 to 2026, and the two classes' indices (`ons-mm23-cpi-*-october-2026`, 23 facts). +## Beyond parity — UK occupation facts (chronicle#407) + +Published totals for Microcosm UK's occupation variable +([microcosm#1490](https://github.com/PolicyEngine/microcosm/issues/1490)): its +report-only check compares the build's shares of people in work by SOC 2020 major and +sub-major group with the APS, and full-time employee pay by major group with ASHE. The +pinned feed had no Labour Force Survey employment series. Fifteen packages add 73,039 +facts; field contracts and caveats are in +[`docs/data-sources/uk-occupation-facts.md`](data-sources/uk-occupation-facts.md). + +- **APS employment by occupation, Nomis APS218** (`ons-aps218-occupation-*`, 24,956 + facts): + - people in employment, and the half-width of the estimate's confidence interval + where Nomis publishes one; + - by all occupations, the 9 major groups and the 26 sub-major groups; + - by sex and by employment type (all, employees, self-employed); + - for the UK, its four countries and the nine English regions; + - for Apr 2024-Mar 2025, Jan-Dec 2025 and Apr 2025-Mar 2026. +- **ASHE Table 2, earnings by two-digit SOC** (`ons-ashe-table2-*`, 48,083 facts): + - gross weekly and gross annual pay (median, mean and ten percentiles) and the number + of jobs, with the coefficients of variation ONS publishes for each; + - for all employee jobs and each sex by working-pattern sheet; + - for 2024 revised, 2025 revised and 2026 provisional. +- Not ported: + - APS periods ending in June or September, including the latest, Jul 2025-Jun 2026: + Chronicle has no period type for those twelve-month windows; + - the APS "Other" employment type, its full-time/part-time split and its "Rate" + measure; + - ASHE's annual percentage changes, its other tables (2.2 to 2.11) and the 2025 + provisional edition. + ## Consumer contracts The UK national, local-geography, and firms selection contracts now live in diff --git a/packages/ons/aps218_occupation_apr_2024_mar_2025/source_package.yaml b/packages/ons/aps218_occupation_apr_2024_mar_2025/source_package.yaml new file mode 100644 index 00000000..e34aceea --- /dev/null +++ b/packages/ons/aps218_occupation_apr_2024_mar_2025/source_package.yaml @@ -0,0 +1,150806 @@ +# ONS Annual Population Survey estimates on Nomis, dataset APS218 ('annual population +# survey - regional - occupation (SOC2020) by sex by employment type', NM_218_1), Apr +# 2024-Mar 2025, for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the pinned Nomis API response, long format, +# one row per geography, employment type, sex, occupation and measure. +# +# People in employment, resident in the UK, its four countries and the nine English +# regions, by sex (all persons, males, females) and by employment type (all, employees, +# self-employed; Nomis's fourth type, 'Other', which 'includes unpaid family worker', is +# not ported), for all occupations and each SOC 2020 major group (9) and sub-major group +# (26), counting full-time and part-time workers and all job types together. Nomis +# describes the APS as 'a residence based labour market survey' +# (https://www.nomisweb.co.uk/sources/aps). Each estimate (Nomis 'Value') is a fact of +# concept ons.aps_people_in_employment, statistic estimate; the half-width of its +# confidence interval (Nomis 'Confidence') is a second fact, of concept +# ons.aps_people_in_employment_confidence_interval_half_width and statistic +# confidence_interval_half_width, where Nomis publishes one. Nomis does not state the +# interval's level on the dataset's pages; Scottish Government APS publications call the +# limits Nomis publishes 95 per cent limits. Nomis's pages also do not say whether the +# occupation is that of the main job. 8306 facts. +# +# Nomis rounds counts to the nearest hundred and flags every cell in OBS_STATUS: A 'Normal +# Value'; F 'Estimate and confidence interval not available since the group sample size is +# zero or disclosive (0-2)'; G 'Estimate and confidence interval unreliable since the +# group sample size is small (3-9)'; H 'Estimate is less than 500'. A blank cell (F, H) +# emits no fact. Nomis marks an interval G, and sometimes F, while publishing its +# estimate: the estimate is ported with its interval's status cell guarded, so the flag is +# in its lineage, and the interval emits no fact. +# +# Record sets are one per geography, sex, employment type and statistic, with the +# occupations as rows (groupby soc2020_group). A major group's facts carry +# soc2020_major_group, a sub-major group's soc2020_sub_major_group; the all-occupations +# rows are the record sets' totals. The detail rows hold both levels, so select one level +# by its filter and never sum across both. Row labels are SOC 2020 names in ASHE Table 2's +# wording; each row's guards compare Nomis's own text. +# +# Parity on the published estimates, asserted by the generator: each major group's +# sub-major groups add to it, the four countries to the UK and the nine regions to +# England, within Nomis's rounding (50 per summed cell). The nine major groups add to less +# than the all-occupations total, by at most 0.51% of it here; Nomis publishes no residual +# category, so the difference is people in employment who are in the total and in no major +# group. +# +# Nomis's metadata records one revision of the dataset: on 27 January 2023 it re-released +# October 2021 to September 2022, 'Estimates revised due to identified error'. That period +# is not ported; this one is Nomis revision 0, released 17 July 2025. +schema_version: ledger.source_package.v1 +package_id: ons-aps218-occupation-apr-2024-mar-2025 +label: 'ONS Annual Population Survey (Nomis APS218): people in employment by SOC 2020 major and sub-major + group, sex and employment status, UK, countries and English regions, April 2024 to March 2025' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + employment_status: Employment status + statistic: Statistic +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + employment_status: + all: All in employment + employee: Employees + self_employed: Self-employed + statistic: + estimate: Estimate + confidence_interval_half_width: Confidence interval half-width +artifact: + source_name: ons + source_table: Annual Population Survey, Nomis dataset APS218 (NM_218_1), 'annual population survey - + regional - occupation (SOC2020) by sex by employment type', Apr 2024-Mar 2025 + resource_package: db + resource_directory: data/ons/aps218_occupation_apr_2024_mar_2025 + manifest: manifest.yaml + vintage: nomis_aps218_apr_2024_mar_2025_revision_0 + extracted_at: '2026-11-04' + extraction_method: Nomis API delimited text full-row parse, one source row per geography, employment + type, sex, occupation and measure + parser: delimited_text_full_rows + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + artifact_year: 2025 +record_sets: +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2, expected_value: K02000001, label: geography} + - {column: D, row: 2, expected_value: All persons, label: sex} + - {column: E, row: 2, expected_value: Total, label: employment type} + - {column: J, row: 2, expected_value: Value, label: measure} + - {column: L, row: 3, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4, expected_value: K02000001, label: geography} + - {column: D, row: 4, expected_value: All persons, label: sex} + - {column: E, row: 4, expected_value: Total, label: employment type} + - {column: J, row: 4, expected_value: Value, label: measure} + - {column: L, row: 5, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6, expected_value: K02000001, label: geography} + - {column: D, row: 6, expected_value: All persons, label: sex} + - {column: E, row: 6, expected_value: Total, label: employment type} + - {column: J, row: 6, expected_value: Value, label: measure} + - {column: L, row: 7, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8, expected_value: K02000001, label: geography} + - {column: D, row: 8, expected_value: All persons, label: sex} + - {column: E, row: 8, expected_value: Total, label: employment type} + - {column: J, row: 8, expected_value: Value, label: measure} + - {column: L, row: 9, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 10, expected_value: K02000001, label: geography} + - {column: D, row: 10, expected_value: All persons, label: sex} + - {column: E, row: 10, expected_value: Total, label: employment type} + - {column: J, row: 10, expected_value: Value, label: measure} + - {column: L, row: 11, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 12 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 12, expected_value: K02000001, label: geography} + - {column: D, row: 12, expected_value: All persons, label: sex} + - {column: E, row: 12, expected_value: Total, label: employment type} + - {column: J, row: 12, expected_value: Value, label: measure} + - {column: L, row: 13, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 14 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 14, expected_value: K02000001, label: geography} + - {column: D, row: 14, expected_value: All persons, label: sex} + - {column: E, row: 14, expected_value: Total, label: employment type} + - {column: J, row: 14, expected_value: Value, label: measure} + - {column: L, row: 15, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 16 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 16, expected_value: K02000001, label: geography} + - {column: D, row: 16, expected_value: All persons, label: sex} + - {column: E, row: 16, expected_value: Total, label: employment type} + - {column: J, row: 16, expected_value: Value, label: measure} + - {column: L, row: 17, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 18 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 18, expected_value: K02000001, label: geography} + - {column: D, row: 18, expected_value: All persons, label: sex} + - {column: E, row: 18, expected_value: Total, label: employment type} + - {column: J, row: 18, expected_value: Value, label: measure} + - {column: L, row: 19, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 20 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 20, expected_value: K02000001, label: geography} + - {column: D, row: 20, expected_value: All persons, label: sex} + - {column: E, row: 20, expected_value: Total, label: employment type} + - {column: J, row: 20, expected_value: Value, label: measure} + - {column: L, row: 21, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 22 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 22, expected_value: K02000001, label: geography} + - {column: D, row: 22, expected_value: All persons, label: sex} + - {column: E, row: 22, expected_value: Total, label: employment type} + - {column: J, row: 22, expected_value: Value, label: measure} + - {column: L, row: 23, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 24 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 24, expected_value: K02000001, label: geography} + - {column: D, row: 24, expected_value: All persons, label: sex} + - {column: E, row: 24, expected_value: Total, label: employment type} + - {column: J, row: 24, expected_value: Value, label: measure} + - {column: L, row: 25, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 26 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 26, expected_value: K02000001, label: geography} + - {column: D, row: 26, expected_value: All persons, label: sex} + - {column: E, row: 26, expected_value: Total, label: employment type} + - {column: J, row: 26, expected_value: Value, label: measure} + - {column: L, row: 27, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 28 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 28, expected_value: K02000001, label: geography} + - {column: D, row: 28, expected_value: All persons, label: sex} + - {column: E, row: 28, expected_value: Total, label: employment type} + - {column: J, row: 28, expected_value: Value, label: measure} + - {column: L, row: 29, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 30 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 30, expected_value: K02000001, label: geography} + - {column: D, row: 30, expected_value: All persons, label: sex} + - {column: E, row: 30, expected_value: Total, label: employment type} + - {column: J, row: 30, expected_value: Value, label: measure} + - {column: L, row: 31, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 32 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 32, expected_value: K02000001, label: geography} + - {column: D, row: 32, expected_value: All persons, label: sex} + - {column: E, row: 32, expected_value: Total, label: employment type} + - {column: J, row: 32, expected_value: Value, label: measure} + - {column: L, row: 33, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 34 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 34, expected_value: K02000001, label: geography} + - {column: D, row: 34, expected_value: All persons, label: sex} + - {column: E, row: 34, expected_value: Total, label: employment type} + - {column: J, row: 34, expected_value: Value, label: measure} + - {column: L, row: 35, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 36 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 36, expected_value: K02000001, label: geography} + - {column: D, row: 36, expected_value: All persons, label: sex} + - {column: E, row: 36, expected_value: Total, label: employment type} + - {column: J, row: 36, expected_value: Value, label: measure} + - {column: L, row: 37, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 38 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 38, expected_value: K02000001, label: geography} + - {column: D, row: 38, expected_value: All persons, label: sex} + - {column: E, row: 38, expected_value: Total, label: employment type} + - {column: J, row: 38, expected_value: Value, label: measure} + - {column: L, row: 39, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 40 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 40, expected_value: K02000001, label: geography} + - {column: D, row: 40, expected_value: All persons, label: sex} + - {column: E, row: 40, expected_value: Total, label: employment type} + - {column: J, row: 40, expected_value: Value, label: measure} + - {column: L, row: 41, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 42 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 42, expected_value: K02000001, label: geography} + - {column: D, row: 42, expected_value: All persons, label: sex} + - {column: E, row: 42, expected_value: Total, label: employment type} + - {column: J, row: 42, expected_value: Value, label: measure} + - {column: L, row: 43, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 44 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 44, expected_value: K02000001, label: geography} + - {column: D, row: 44, expected_value: All persons, label: sex} + - {column: E, row: 44, expected_value: Total, label: employment type} + - {column: J, row: 44, expected_value: Value, label: measure} + - {column: L, row: 45, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 46 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 46, expected_value: K02000001, label: geography} + - {column: D, row: 46, expected_value: All persons, label: sex} + - {column: E, row: 46, expected_value: Total, label: employment type} + - {column: J, row: 46, expected_value: Value, label: measure} + - {column: L, row: 47, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 48 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 48, expected_value: K02000001, label: geography} + - {column: D, row: 48, expected_value: All persons, label: sex} + - {column: E, row: 48, expected_value: Total, label: employment type} + - {column: J, row: 48, expected_value: Value, label: measure} + - {column: L, row: 49, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 50 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 50, expected_value: K02000001, label: geography} + - {column: D, row: 50, expected_value: All persons, label: sex} + - {column: E, row: 50, expected_value: Total, label: employment type} + - {column: J, row: 50, expected_value: Value, label: measure} + - {column: L, row: 51, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 52 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 52, expected_value: K02000001, label: geography} + - {column: D, row: 52, expected_value: All persons, label: sex} + - {column: E, row: 52, expected_value: Total, label: employment type} + - {column: J, row: 52, expected_value: Value, label: measure} + - {column: L, row: 53, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 54 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 54, expected_value: K02000001, label: geography} + - {column: D, row: 54, expected_value: All persons, label: sex} + - {column: E, row: 54, expected_value: Total, label: employment type} + - {column: J, row: 54, expected_value: Value, label: measure} + - {column: L, row: 55, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 56 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 56, expected_value: K02000001, label: geography} + - {column: D, row: 56, expected_value: All persons, label: sex} + - {column: E, row: 56, expected_value: Total, label: employment type} + - {column: J, row: 56, expected_value: Value, label: measure} + - {column: L, row: 57, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 58 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 58, expected_value: K02000001, label: geography} + - {column: D, row: 58, expected_value: All persons, label: sex} + - {column: E, row: 58, expected_value: Total, label: employment type} + - {column: J, row: 58, expected_value: Value, label: measure} + - {column: L, row: 59, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 60 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 60, expected_value: K02000001, label: geography} + - {column: D, row: 60, expected_value: All persons, label: sex} + - {column: E, row: 60, expected_value: Total, label: employment type} + - {column: J, row: 60, expected_value: Value, label: measure} + - {column: L, row: 61, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 62 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 62, expected_value: K02000001, label: geography} + - {column: D, row: 62, expected_value: All persons, label: sex} + - {column: E, row: 62, expected_value: Total, label: employment type} + - {column: J, row: 62, expected_value: Value, label: measure} + - {column: L, row: 63, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 64 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 64, expected_value: K02000001, label: geography} + - {column: D, row: 64, expected_value: All persons, label: sex} + - {column: E, row: 64, expected_value: Total, label: employment type} + - {column: J, row: 64, expected_value: Value, label: measure} + - {column: L, row: 65, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 66 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 66, expected_value: K02000001, label: geography} + - {column: D, row: 66, expected_value: All persons, label: sex} + - {column: E, row: 66, expected_value: Total, label: employment type} + - {column: J, row: 66, expected_value: Value, label: measure} + - {column: L, row: 67, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 68 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 68, expected_value: K02000001, label: geography} + - {column: D, row: 68, expected_value: All persons, label: sex} + - {column: E, row: 68, expected_value: Total, label: employment type} + - {column: J, row: 68, expected_value: Value, label: measure} + - {column: L, row: 69, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 70 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 70, expected_value: K02000001, label: geography} + - {column: D, row: 70, expected_value: All persons, label: sex} + - {column: E, row: 70, expected_value: Total, label: employment type} + - {column: J, row: 70, expected_value: Value, label: measure} + - {column: L, row: 71, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 72 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 72, expected_value: K02000001, label: geography} + - {column: D, row: 72, expected_value: All persons, label: sex} + - {column: E, row: 72, expected_value: Total, label: employment type} + - {column: J, row: 72, expected_value: Value, label: measure} + - {column: L, row: 73, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3, expected_value: K02000001, label: geography} + - {column: D, row: 3, expected_value: All persons, label: sex} + - {column: E, row: 3, expected_value: Total, label: employment type} + - {column: J, row: 3, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5, expected_value: K02000001, label: geography} + - {column: D, row: 5, expected_value: All persons, label: sex} + - {column: E, row: 5, expected_value: Total, label: employment type} + - {column: J, row: 5, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7, expected_value: K02000001, label: geography} + - {column: D, row: 7, expected_value: All persons, label: sex} + - {column: E, row: 7, expected_value: Total, label: employment type} + - {column: J, row: 7, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9, expected_value: K02000001, label: geography} + - {column: D, row: 9, expected_value: All persons, label: sex} + - {column: E, row: 9, expected_value: Total, label: employment type} + - {column: J, row: 9, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 11 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 11, expected_value: K02000001, label: geography} + - {column: D, row: 11, expected_value: All persons, label: sex} + - {column: E, row: 11, expected_value: Total, label: employment type} + - {column: J, row: 11, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 13 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 13, expected_value: K02000001, label: geography} + - {column: D, row: 13, expected_value: All persons, label: sex} + - {column: E, row: 13, expected_value: Total, label: employment type} + - {column: J, row: 13, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 15 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 15, expected_value: K02000001, label: geography} + - {column: D, row: 15, expected_value: All persons, label: sex} + - {column: E, row: 15, expected_value: Total, label: employment type} + - {column: J, row: 15, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 17 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 17, expected_value: K02000001, label: geography} + - {column: D, row: 17, expected_value: All persons, label: sex} + - {column: E, row: 17, expected_value: Total, label: employment type} + - {column: J, row: 17, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 19 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 19, expected_value: K02000001, label: geography} + - {column: D, row: 19, expected_value: All persons, label: sex} + - {column: E, row: 19, expected_value: Total, label: employment type} + - {column: J, row: 19, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 21 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 21, expected_value: K02000001, label: geography} + - {column: D, row: 21, expected_value: All persons, label: sex} + - {column: E, row: 21, expected_value: Total, label: employment type} + - {column: J, row: 21, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 23 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 23, expected_value: K02000001, label: geography} + - {column: D, row: 23, expected_value: All persons, label: sex} + - {column: E, row: 23, expected_value: Total, label: employment type} + - {column: J, row: 23, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 25 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 25, expected_value: K02000001, label: geography} + - {column: D, row: 25, expected_value: All persons, label: sex} + - {column: E, row: 25, expected_value: Total, label: employment type} + - {column: J, row: 25, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 27 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 27, expected_value: K02000001, label: geography} + - {column: D, row: 27, expected_value: All persons, label: sex} + - {column: E, row: 27, expected_value: Total, label: employment type} + - {column: J, row: 27, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 29 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 29, expected_value: K02000001, label: geography} + - {column: D, row: 29, expected_value: All persons, label: sex} + - {column: E, row: 29, expected_value: Total, label: employment type} + - {column: J, row: 29, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 31 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 31, expected_value: K02000001, label: geography} + - {column: D, row: 31, expected_value: All persons, label: sex} + - {column: E, row: 31, expected_value: Total, label: employment type} + - {column: J, row: 31, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 33 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 33, expected_value: K02000001, label: geography} + - {column: D, row: 33, expected_value: All persons, label: sex} + - {column: E, row: 33, expected_value: Total, label: employment type} + - {column: J, row: 33, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 35 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 35, expected_value: K02000001, label: geography} + - {column: D, row: 35, expected_value: All persons, label: sex} + - {column: E, row: 35, expected_value: Total, label: employment type} + - {column: J, row: 35, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 37 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 37, expected_value: K02000001, label: geography} + - {column: D, row: 37, expected_value: All persons, label: sex} + - {column: E, row: 37, expected_value: Total, label: employment type} + - {column: J, row: 37, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 39 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 39, expected_value: K02000001, label: geography} + - {column: D, row: 39, expected_value: All persons, label: sex} + - {column: E, row: 39, expected_value: Total, label: employment type} + - {column: J, row: 39, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 41 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 41, expected_value: K02000001, label: geography} + - {column: D, row: 41, expected_value: All persons, label: sex} + - {column: E, row: 41, expected_value: Total, label: employment type} + - {column: J, row: 41, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 43 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 43, expected_value: K02000001, label: geography} + - {column: D, row: 43, expected_value: All persons, label: sex} + - {column: E, row: 43, expected_value: Total, label: employment type} + - {column: J, row: 43, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 45 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 45, expected_value: K02000001, label: geography} + - {column: D, row: 45, expected_value: All persons, label: sex} + - {column: E, row: 45, expected_value: Total, label: employment type} + - {column: J, row: 45, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 47 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 47, expected_value: K02000001, label: geography} + - {column: D, row: 47, expected_value: All persons, label: sex} + - {column: E, row: 47, expected_value: Total, label: employment type} + - {column: J, row: 47, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 49 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 49, expected_value: K02000001, label: geography} + - {column: D, row: 49, expected_value: All persons, label: sex} + - {column: E, row: 49, expected_value: Total, label: employment type} + - {column: J, row: 49, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 51 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 51, expected_value: K02000001, label: geography} + - {column: D, row: 51, expected_value: All persons, label: sex} + - {column: E, row: 51, expected_value: Total, label: employment type} + - {column: J, row: 51, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 53 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 53, expected_value: K02000001, label: geography} + - {column: D, row: 53, expected_value: All persons, label: sex} + - {column: E, row: 53, expected_value: Total, label: employment type} + - {column: J, row: 53, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 55 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 55, expected_value: K02000001, label: geography} + - {column: D, row: 55, expected_value: All persons, label: sex} + - {column: E, row: 55, expected_value: Total, label: employment type} + - {column: J, row: 55, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 57 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 57, expected_value: K02000001, label: geography} + - {column: D, row: 57, expected_value: All persons, label: sex} + - {column: E, row: 57, expected_value: Total, label: employment type} + - {column: J, row: 57, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 59 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 59, expected_value: K02000001, label: geography} + - {column: D, row: 59, expected_value: All persons, label: sex} + - {column: E, row: 59, expected_value: Total, label: employment type} + - {column: J, row: 59, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 61 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 61, expected_value: K02000001, label: geography} + - {column: D, row: 61, expected_value: All persons, label: sex} + - {column: E, row: 61, expected_value: Total, label: employment type} + - {column: J, row: 61, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 63 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 63, expected_value: K02000001, label: geography} + - {column: D, row: 63, expected_value: All persons, label: sex} + - {column: E, row: 63, expected_value: Total, label: employment type} + - {column: J, row: 63, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 65 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 65, expected_value: K02000001, label: geography} + - {column: D, row: 65, expected_value: All persons, label: sex} + - {column: E, row: 65, expected_value: Total, label: employment type} + - {column: J, row: 65, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 67 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 67, expected_value: K02000001, label: geography} + - {column: D, row: 67, expected_value: All persons, label: sex} + - {column: E, row: 67, expected_value: Total, label: employment type} + - {column: J, row: 67, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 69 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 69, expected_value: K02000001, label: geography} + - {column: D, row: 69, expected_value: All persons, label: sex} + - {column: E, row: 69, expected_value: Total, label: employment type} + - {column: J, row: 69, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 71 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 71, expected_value: K02000001, label: geography} + - {column: D, row: 71, expected_value: All persons, label: sex} + - {column: E, row: 71, expected_value: Total, label: employment type} + - {column: J, row: 71, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 73 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 73, expected_value: K02000001, label: geography} + - {column: D, row: 73, expected_value: All persons, label: sex} + - {column: E, row: 73, expected_value: Total, label: employment type} + - {column: J, row: 73, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 218 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 218, expected_value: K02000001, label: geography} + - {column: D, row: 218, expected_value: All persons, label: sex} + - {column: E, row: 218, expected_value: Employee, label: employment type} + - {column: J, row: 218, expected_value: Value, label: measure} + - {column: L, row: 219, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 220 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 220, expected_value: K02000001, label: geography} + - {column: D, row: 220, expected_value: All persons, label: sex} + - {column: E, row: 220, expected_value: Employee, label: employment type} + - {column: J, row: 220, expected_value: Value, label: measure} + - {column: L, row: 221, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 222 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 222, expected_value: K02000001, label: geography} + - {column: D, row: 222, expected_value: All persons, label: sex} + - {column: E, row: 222, expected_value: Employee, label: employment type} + - {column: J, row: 222, expected_value: Value, label: measure} + - {column: L, row: 223, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 224 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 224, expected_value: K02000001, label: geography} + - {column: D, row: 224, expected_value: All persons, label: sex} + - {column: E, row: 224, expected_value: Employee, label: employment type} + - {column: J, row: 224, expected_value: Value, label: measure} + - {column: L, row: 225, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 226 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 226, expected_value: K02000001, label: geography} + - {column: D, row: 226, expected_value: All persons, label: sex} + - {column: E, row: 226, expected_value: Employee, label: employment type} + - {column: J, row: 226, expected_value: Value, label: measure} + - {column: L, row: 227, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 228 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 228, expected_value: K02000001, label: geography} + - {column: D, row: 228, expected_value: All persons, label: sex} + - {column: E, row: 228, expected_value: Employee, label: employment type} + - {column: J, row: 228, expected_value: Value, label: measure} + - {column: L, row: 229, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 230 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 230, expected_value: K02000001, label: geography} + - {column: D, row: 230, expected_value: All persons, label: sex} + - {column: E, row: 230, expected_value: Employee, label: employment type} + - {column: J, row: 230, expected_value: Value, label: measure} + - {column: L, row: 231, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 232 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 232, expected_value: K02000001, label: geography} + - {column: D, row: 232, expected_value: All persons, label: sex} + - {column: E, row: 232, expected_value: Employee, label: employment type} + - {column: J, row: 232, expected_value: Value, label: measure} + - {column: L, row: 233, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 234 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 234, expected_value: K02000001, label: geography} + - {column: D, row: 234, expected_value: All persons, label: sex} + - {column: E, row: 234, expected_value: Employee, label: employment type} + - {column: J, row: 234, expected_value: Value, label: measure} + - {column: L, row: 235, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 236 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 236, expected_value: K02000001, label: geography} + - {column: D, row: 236, expected_value: All persons, label: sex} + - {column: E, row: 236, expected_value: Employee, label: employment type} + - {column: J, row: 236, expected_value: Value, label: measure} + - {column: L, row: 237, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 238 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 238, expected_value: K02000001, label: geography} + - {column: D, row: 238, expected_value: All persons, label: sex} + - {column: E, row: 238, expected_value: Employee, label: employment type} + - {column: J, row: 238, expected_value: Value, label: measure} + - {column: L, row: 239, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 240 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 240, expected_value: K02000001, label: geography} + - {column: D, row: 240, expected_value: All persons, label: sex} + - {column: E, row: 240, expected_value: Employee, label: employment type} + - {column: J, row: 240, expected_value: Value, label: measure} + - {column: L, row: 241, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 242 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 242, expected_value: K02000001, label: geography} + - {column: D, row: 242, expected_value: All persons, label: sex} + - {column: E, row: 242, expected_value: Employee, label: employment type} + - {column: J, row: 242, expected_value: Value, label: measure} + - {column: L, row: 243, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 244 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 244, expected_value: K02000001, label: geography} + - {column: D, row: 244, expected_value: All persons, label: sex} + - {column: E, row: 244, expected_value: Employee, label: employment type} + - {column: J, row: 244, expected_value: Value, label: measure} + - {column: L, row: 245, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 246 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 246, expected_value: K02000001, label: geography} + - {column: D, row: 246, expected_value: All persons, label: sex} + - {column: E, row: 246, expected_value: Employee, label: employment type} + - {column: J, row: 246, expected_value: Value, label: measure} + - {column: L, row: 247, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 248 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 248, expected_value: K02000001, label: geography} + - {column: D, row: 248, expected_value: All persons, label: sex} + - {column: E, row: 248, expected_value: Employee, label: employment type} + - {column: J, row: 248, expected_value: Value, label: measure} + - {column: L, row: 249, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 250 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 250, expected_value: K02000001, label: geography} + - {column: D, row: 250, expected_value: All persons, label: sex} + - {column: E, row: 250, expected_value: Employee, label: employment type} + - {column: J, row: 250, expected_value: Value, label: measure} + - {column: L, row: 251, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 252 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 252, expected_value: K02000001, label: geography} + - {column: D, row: 252, expected_value: All persons, label: sex} + - {column: E, row: 252, expected_value: Employee, label: employment type} + - {column: J, row: 252, expected_value: Value, label: measure} + - {column: L, row: 253, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 254 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 254, expected_value: K02000001, label: geography} + - {column: D, row: 254, expected_value: All persons, label: sex} + - {column: E, row: 254, expected_value: Employee, label: employment type} + - {column: J, row: 254, expected_value: Value, label: measure} + - {column: L, row: 255, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 256 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 256, expected_value: K02000001, label: geography} + - {column: D, row: 256, expected_value: All persons, label: sex} + - {column: E, row: 256, expected_value: Employee, label: employment type} + - {column: J, row: 256, expected_value: Value, label: measure} + - {column: L, row: 257, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 258 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 258, expected_value: K02000001, label: geography} + - {column: D, row: 258, expected_value: All persons, label: sex} + - {column: E, row: 258, expected_value: Employee, label: employment type} + - {column: J, row: 258, expected_value: Value, label: measure} + - {column: L, row: 259, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 260 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 260, expected_value: K02000001, label: geography} + - {column: D, row: 260, expected_value: All persons, label: sex} + - {column: E, row: 260, expected_value: Employee, label: employment type} + - {column: J, row: 260, expected_value: Value, label: measure} + - {column: L, row: 261, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 262 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 262, expected_value: K02000001, label: geography} + - {column: D, row: 262, expected_value: All persons, label: sex} + - {column: E, row: 262, expected_value: Employee, label: employment type} + - {column: J, row: 262, expected_value: Value, label: measure} + - {column: L, row: 263, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 264 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 264, expected_value: K02000001, label: geography} + - {column: D, row: 264, expected_value: All persons, label: sex} + - {column: E, row: 264, expected_value: Employee, label: employment type} + - {column: J, row: 264, expected_value: Value, label: measure} + - {column: L, row: 265, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 266 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 266, expected_value: K02000001, label: geography} + - {column: D, row: 266, expected_value: All persons, label: sex} + - {column: E, row: 266, expected_value: Employee, label: employment type} + - {column: J, row: 266, expected_value: Value, label: measure} + - {column: L, row: 267, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 268 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 268, expected_value: K02000001, label: geography} + - {column: D, row: 268, expected_value: All persons, label: sex} + - {column: E, row: 268, expected_value: Employee, label: employment type} + - {column: J, row: 268, expected_value: Value, label: measure} + - {column: L, row: 269, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 270 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 270, expected_value: K02000001, label: geography} + - {column: D, row: 270, expected_value: All persons, label: sex} + - {column: E, row: 270, expected_value: Employee, label: employment type} + - {column: J, row: 270, expected_value: Value, label: measure} + - {column: L, row: 271, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 272 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 272, expected_value: K02000001, label: geography} + - {column: D, row: 272, expected_value: All persons, label: sex} + - {column: E, row: 272, expected_value: Employee, label: employment type} + - {column: J, row: 272, expected_value: Value, label: measure} + - {column: L, row: 273, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 274 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 274, expected_value: K02000001, label: geography} + - {column: D, row: 274, expected_value: All persons, label: sex} + - {column: E, row: 274, expected_value: Employee, label: employment type} + - {column: J, row: 274, expected_value: Value, label: measure} + - {column: L, row: 275, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 276 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 276, expected_value: K02000001, label: geography} + - {column: D, row: 276, expected_value: All persons, label: sex} + - {column: E, row: 276, expected_value: Employee, label: employment type} + - {column: J, row: 276, expected_value: Value, label: measure} + - {column: L, row: 277, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 278 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 278, expected_value: K02000001, label: geography} + - {column: D, row: 278, expected_value: All persons, label: sex} + - {column: E, row: 278, expected_value: Employee, label: employment type} + - {column: J, row: 278, expected_value: Value, label: measure} + - {column: L, row: 279, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 280 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 280, expected_value: K02000001, label: geography} + - {column: D, row: 280, expected_value: All persons, label: sex} + - {column: E, row: 280, expected_value: Employee, label: employment type} + - {column: J, row: 280, expected_value: Value, label: measure} + - {column: L, row: 281, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 282 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 282, expected_value: K02000001, label: geography} + - {column: D, row: 282, expected_value: All persons, label: sex} + - {column: E, row: 282, expected_value: Employee, label: employment type} + - {column: J, row: 282, expected_value: Value, label: measure} + - {column: L, row: 283, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 284 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 284, expected_value: K02000001, label: geography} + - {column: D, row: 284, expected_value: All persons, label: sex} + - {column: E, row: 284, expected_value: Employee, label: employment type} + - {column: J, row: 284, expected_value: Value, label: measure} + - {column: L, row: 285, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 286 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 286, expected_value: K02000001, label: geography} + - {column: D, row: 286, expected_value: All persons, label: sex} + - {column: E, row: 286, expected_value: Employee, label: employment type} + - {column: J, row: 286, expected_value: Value, label: measure} + - {column: L, row: 287, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 288 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 288, expected_value: K02000001, label: geography} + - {column: D, row: 288, expected_value: All persons, label: sex} + - {column: E, row: 288, expected_value: Employee, label: employment type} + - {column: J, row: 288, expected_value: Value, label: measure} + - {column: L, row: 289, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 219 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 219, expected_value: K02000001, label: geography} + - {column: D, row: 219, expected_value: All persons, label: sex} + - {column: E, row: 219, expected_value: Employee, label: employment type} + - {column: J, row: 219, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 221 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 221, expected_value: K02000001, label: geography} + - {column: D, row: 221, expected_value: All persons, label: sex} + - {column: E, row: 221, expected_value: Employee, label: employment type} + - {column: J, row: 221, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 223 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 223, expected_value: K02000001, label: geography} + - {column: D, row: 223, expected_value: All persons, label: sex} + - {column: E, row: 223, expected_value: Employee, label: employment type} + - {column: J, row: 223, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 225 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 225, expected_value: K02000001, label: geography} + - {column: D, row: 225, expected_value: All persons, label: sex} + - {column: E, row: 225, expected_value: Employee, label: employment type} + - {column: J, row: 225, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 227 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 227, expected_value: K02000001, label: geography} + - {column: D, row: 227, expected_value: All persons, label: sex} + - {column: E, row: 227, expected_value: Employee, label: employment type} + - {column: J, row: 227, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 229 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 229, expected_value: K02000001, label: geography} + - {column: D, row: 229, expected_value: All persons, label: sex} + - {column: E, row: 229, expected_value: Employee, label: employment type} + - {column: J, row: 229, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 231 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 231, expected_value: K02000001, label: geography} + - {column: D, row: 231, expected_value: All persons, label: sex} + - {column: E, row: 231, expected_value: Employee, label: employment type} + - {column: J, row: 231, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 233 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 233, expected_value: K02000001, label: geography} + - {column: D, row: 233, expected_value: All persons, label: sex} + - {column: E, row: 233, expected_value: Employee, label: employment type} + - {column: J, row: 233, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 235 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 235, expected_value: K02000001, label: geography} + - {column: D, row: 235, expected_value: All persons, label: sex} + - {column: E, row: 235, expected_value: Employee, label: employment type} + - {column: J, row: 235, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 237 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 237, expected_value: K02000001, label: geography} + - {column: D, row: 237, expected_value: All persons, label: sex} + - {column: E, row: 237, expected_value: Employee, label: employment type} + - {column: J, row: 237, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 239 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 239, expected_value: K02000001, label: geography} + - {column: D, row: 239, expected_value: All persons, label: sex} + - {column: E, row: 239, expected_value: Employee, label: employment type} + - {column: J, row: 239, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 241 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 241, expected_value: K02000001, label: geography} + - {column: D, row: 241, expected_value: All persons, label: sex} + - {column: E, row: 241, expected_value: Employee, label: employment type} + - {column: J, row: 241, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 243 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 243, expected_value: K02000001, label: geography} + - {column: D, row: 243, expected_value: All persons, label: sex} + - {column: E, row: 243, expected_value: Employee, label: employment type} + - {column: J, row: 243, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 245 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 245, expected_value: K02000001, label: geography} + - {column: D, row: 245, expected_value: All persons, label: sex} + - {column: E, row: 245, expected_value: Employee, label: employment type} + - {column: J, row: 245, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 247 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 247, expected_value: K02000001, label: geography} + - {column: D, row: 247, expected_value: All persons, label: sex} + - {column: E, row: 247, expected_value: Employee, label: employment type} + - {column: J, row: 247, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 249 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 249, expected_value: K02000001, label: geography} + - {column: D, row: 249, expected_value: All persons, label: sex} + - {column: E, row: 249, expected_value: Employee, label: employment type} + - {column: J, row: 249, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 251 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 251, expected_value: K02000001, label: geography} + - {column: D, row: 251, expected_value: All persons, label: sex} + - {column: E, row: 251, expected_value: Employee, label: employment type} + - {column: J, row: 251, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 253 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 253, expected_value: K02000001, label: geography} + - {column: D, row: 253, expected_value: All persons, label: sex} + - {column: E, row: 253, expected_value: Employee, label: employment type} + - {column: J, row: 253, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 255 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 255, expected_value: K02000001, label: geography} + - {column: D, row: 255, expected_value: All persons, label: sex} + - {column: E, row: 255, expected_value: Employee, label: employment type} + - {column: J, row: 255, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 257 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 257, expected_value: K02000001, label: geography} + - {column: D, row: 257, expected_value: All persons, label: sex} + - {column: E, row: 257, expected_value: Employee, label: employment type} + - {column: J, row: 257, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 259 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 259, expected_value: K02000001, label: geography} + - {column: D, row: 259, expected_value: All persons, label: sex} + - {column: E, row: 259, expected_value: Employee, label: employment type} + - {column: J, row: 259, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 261 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 261, expected_value: K02000001, label: geography} + - {column: D, row: 261, expected_value: All persons, label: sex} + - {column: E, row: 261, expected_value: Employee, label: employment type} + - {column: J, row: 261, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 263 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 263, expected_value: K02000001, label: geography} + - {column: D, row: 263, expected_value: All persons, label: sex} + - {column: E, row: 263, expected_value: Employee, label: employment type} + - {column: J, row: 263, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 265 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 265, expected_value: K02000001, label: geography} + - {column: D, row: 265, expected_value: All persons, label: sex} + - {column: E, row: 265, expected_value: Employee, label: employment type} + - {column: J, row: 265, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 267 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 267, expected_value: K02000001, label: geography} + - {column: D, row: 267, expected_value: All persons, label: sex} + - {column: E, row: 267, expected_value: Employee, label: employment type} + - {column: J, row: 267, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 269 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 269, expected_value: K02000001, label: geography} + - {column: D, row: 269, expected_value: All persons, label: sex} + - {column: E, row: 269, expected_value: Employee, label: employment type} + - {column: J, row: 269, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 271 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 271, expected_value: K02000001, label: geography} + - {column: D, row: 271, expected_value: All persons, label: sex} + - {column: E, row: 271, expected_value: Employee, label: employment type} + - {column: J, row: 271, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 273 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 273, expected_value: K02000001, label: geography} + - {column: D, row: 273, expected_value: All persons, label: sex} + - {column: E, row: 273, expected_value: Employee, label: employment type} + - {column: J, row: 273, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 275 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 275, expected_value: K02000001, label: geography} + - {column: D, row: 275, expected_value: All persons, label: sex} + - {column: E, row: 275, expected_value: Employee, label: employment type} + - {column: J, row: 275, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 277 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 277, expected_value: K02000001, label: geography} + - {column: D, row: 277, expected_value: All persons, label: sex} + - {column: E, row: 277, expected_value: Employee, label: employment type} + - {column: J, row: 277, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 279 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 279, expected_value: K02000001, label: geography} + - {column: D, row: 279, expected_value: All persons, label: sex} + - {column: E, row: 279, expected_value: Employee, label: employment type} + - {column: J, row: 279, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 281 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 281, expected_value: K02000001, label: geography} + - {column: D, row: 281, expected_value: All persons, label: sex} + - {column: E, row: 281, expected_value: Employee, label: employment type} + - {column: J, row: 281, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 283 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 283, expected_value: K02000001, label: geography} + - {column: D, row: 283, expected_value: All persons, label: sex} + - {column: E, row: 283, expected_value: Employee, label: employment type} + - {column: J, row: 283, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 285 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 285, expected_value: K02000001, label: geography} + - {column: D, row: 285, expected_value: All persons, label: sex} + - {column: E, row: 285, expected_value: Employee, label: employment type} + - {column: J, row: 285, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 287 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 287, expected_value: K02000001, label: geography} + - {column: D, row: 287, expected_value: All persons, label: sex} + - {column: E, row: 287, expected_value: Employee, label: employment type} + - {column: J, row: 287, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 289 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 289, expected_value: K02000001, label: geography} + - {column: D, row: 289, expected_value: All persons, label: sex} + - {column: E, row: 289, expected_value: Employee, label: employment type} + - {column: J, row: 289, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 434 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 434, expected_value: K02000001, label: geography} + - {column: D, row: 434, expected_value: All persons, label: sex} + - {column: E, row: 434, expected_value: Self-employed, label: employment type} + - {column: J, row: 434, expected_value: Value, label: measure} + - {column: L, row: 435, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 436 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 436, expected_value: K02000001, label: geography} + - {column: D, row: 436, expected_value: All persons, label: sex} + - {column: E, row: 436, expected_value: Self-employed, label: employment type} + - {column: J, row: 436, expected_value: Value, label: measure} + - {column: L, row: 437, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 438 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 438, expected_value: K02000001, label: geography} + - {column: D, row: 438, expected_value: All persons, label: sex} + - {column: E, row: 438, expected_value: Self-employed, label: employment type} + - {column: J, row: 438, expected_value: Value, label: measure} + - {column: L, row: 439, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 440 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 440, expected_value: K02000001, label: geography} + - {column: D, row: 440, expected_value: All persons, label: sex} + - {column: E, row: 440, expected_value: Self-employed, label: employment type} + - {column: J, row: 440, expected_value: Value, label: measure} + - {column: L, row: 441, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 442 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 442, expected_value: K02000001, label: geography} + - {column: D, row: 442, expected_value: All persons, label: sex} + - {column: E, row: 442, expected_value: Self-employed, label: employment type} + - {column: J, row: 442, expected_value: Value, label: measure} + - {column: L, row: 443, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 444 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 444, expected_value: K02000001, label: geography} + - {column: D, row: 444, expected_value: All persons, label: sex} + - {column: E, row: 444, expected_value: Self-employed, label: employment type} + - {column: J, row: 444, expected_value: Value, label: measure} + - {column: L, row: 445, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 446 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 446, expected_value: K02000001, label: geography} + - {column: D, row: 446, expected_value: All persons, label: sex} + - {column: E, row: 446, expected_value: Self-employed, label: employment type} + - {column: J, row: 446, expected_value: Value, label: measure} + - {column: L, row: 447, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 448 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 448, expected_value: K02000001, label: geography} + - {column: D, row: 448, expected_value: All persons, label: sex} + - {column: E, row: 448, expected_value: Self-employed, label: employment type} + - {column: J, row: 448, expected_value: Value, label: measure} + - {column: L, row: 449, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 450 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 450, expected_value: K02000001, label: geography} + - {column: D, row: 450, expected_value: All persons, label: sex} + - {column: E, row: 450, expected_value: Self-employed, label: employment type} + - {column: J, row: 450, expected_value: Value, label: measure} + - {column: L, row: 451, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 452 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 452, expected_value: K02000001, label: geography} + - {column: D, row: 452, expected_value: All persons, label: sex} + - {column: E, row: 452, expected_value: Self-employed, label: employment type} + - {column: J, row: 452, expected_value: Value, label: measure} + - {column: L, row: 453, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 454 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 454, expected_value: K02000001, label: geography} + - {column: D, row: 454, expected_value: All persons, label: sex} + - {column: E, row: 454, expected_value: Self-employed, label: employment type} + - {column: J, row: 454, expected_value: Value, label: measure} + - {column: L, row: 455, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 456 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 456, expected_value: K02000001, label: geography} + - {column: D, row: 456, expected_value: All persons, label: sex} + - {column: E, row: 456, expected_value: Self-employed, label: employment type} + - {column: J, row: 456, expected_value: Value, label: measure} + - {column: L, row: 457, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 458 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 458, expected_value: K02000001, label: geography} + - {column: D, row: 458, expected_value: All persons, label: sex} + - {column: E, row: 458, expected_value: Self-employed, label: employment type} + - {column: J, row: 458, expected_value: Value, label: measure} + - {column: L, row: 459, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 460 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 460, expected_value: K02000001, label: geography} + - {column: D, row: 460, expected_value: All persons, label: sex} + - {column: E, row: 460, expected_value: Self-employed, label: employment type} + - {column: J, row: 460, expected_value: Value, label: measure} + - {column: L, row: 461, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 462 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 462, expected_value: K02000001, label: geography} + - {column: D, row: 462, expected_value: All persons, label: sex} + - {column: E, row: 462, expected_value: Self-employed, label: employment type} + - {column: J, row: 462, expected_value: Value, label: measure} + - {column: L, row: 463, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 464 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 464, expected_value: K02000001, label: geography} + - {column: D, row: 464, expected_value: All persons, label: sex} + - {column: E, row: 464, expected_value: Self-employed, label: employment type} + - {column: J, row: 464, expected_value: Value, label: measure} + - {column: L, row: 465, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 466 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 466, expected_value: K02000001, label: geography} + - {column: D, row: 466, expected_value: All persons, label: sex} + - {column: E, row: 466, expected_value: Self-employed, label: employment type} + - {column: J, row: 466, expected_value: Value, label: measure} + - {column: L, row: 467, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 468 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 468, expected_value: K02000001, label: geography} + - {column: D, row: 468, expected_value: All persons, label: sex} + - {column: E, row: 468, expected_value: Self-employed, label: employment type} + - {column: J, row: 468, expected_value: Value, label: measure} + - {column: L, row: 469, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 470 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 470, expected_value: K02000001, label: geography} + - {column: D, row: 470, expected_value: All persons, label: sex} + - {column: E, row: 470, expected_value: Self-employed, label: employment type} + - {column: J, row: 470, expected_value: Value, label: measure} + - {column: L, row: 471, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 472 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 472, expected_value: K02000001, label: geography} + - {column: D, row: 472, expected_value: All persons, label: sex} + - {column: E, row: 472, expected_value: Self-employed, label: employment type} + - {column: J, row: 472, expected_value: Value, label: measure} + - {column: L, row: 473, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 474 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 474, expected_value: K02000001, label: geography} + - {column: D, row: 474, expected_value: All persons, label: sex} + - {column: E, row: 474, expected_value: Self-employed, label: employment type} + - {column: J, row: 474, expected_value: Value, label: measure} + - {column: L, row: 475, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 476 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 476, expected_value: K02000001, label: geography} + - {column: D, row: 476, expected_value: All persons, label: sex} + - {column: E, row: 476, expected_value: Self-employed, label: employment type} + - {column: J, row: 476, expected_value: Value, label: measure} + - {column: L, row: 477, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 478 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 478, expected_value: K02000001, label: geography} + - {column: D, row: 478, expected_value: All persons, label: sex} + - {column: E, row: 478, expected_value: Self-employed, label: employment type} + - {column: J, row: 478, expected_value: Value, label: measure} + - {column: L, row: 479, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 480 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 480, expected_value: K02000001, label: geography} + - {column: D, row: 480, expected_value: All persons, label: sex} + - {column: E, row: 480, expected_value: Self-employed, label: employment type} + - {column: J, row: 480, expected_value: Value, label: measure} + - {column: L, row: 481, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 482 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 482, expected_value: K02000001, label: geography} + - {column: D, row: 482, expected_value: All persons, label: sex} + - {column: E, row: 482, expected_value: Self-employed, label: employment type} + - {column: J, row: 482, expected_value: Value, label: measure} + - {column: L, row: 483, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 484 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 484, expected_value: K02000001, label: geography} + - {column: D, row: 484, expected_value: All persons, label: sex} + - {column: E, row: 484, expected_value: Self-employed, label: employment type} + - {column: J, row: 484, expected_value: Value, label: measure} + - {column: L, row: 485, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 488 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 488, expected_value: K02000001, label: geography} + - {column: D, row: 488, expected_value: All persons, label: sex} + - {column: E, row: 488, expected_value: Self-employed, label: employment type} + - {column: J, row: 488, expected_value: Value, label: measure} + - {column: L, row: 489, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 490 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 490, expected_value: K02000001, label: geography} + - {column: D, row: 490, expected_value: All persons, label: sex} + - {column: E, row: 490, expected_value: Self-employed, label: employment type} + - {column: J, row: 490, expected_value: Value, label: measure} + - {column: L, row: 491, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 492 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 492, expected_value: K02000001, label: geography} + - {column: D, row: 492, expected_value: All persons, label: sex} + - {column: E, row: 492, expected_value: Self-employed, label: employment type} + - {column: J, row: 492, expected_value: Value, label: measure} + - {column: L, row: 493, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 494 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 494, expected_value: K02000001, label: geography} + - {column: D, row: 494, expected_value: All persons, label: sex} + - {column: E, row: 494, expected_value: Self-employed, label: employment type} + - {column: J, row: 494, expected_value: Value, label: measure} + - {column: L, row: 495, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 496 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 496, expected_value: K02000001, label: geography} + - {column: D, row: 496, expected_value: All persons, label: sex} + - {column: E, row: 496, expected_value: Self-employed, label: employment type} + - {column: J, row: 496, expected_value: Value, label: measure} + - {column: L, row: 497, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 498 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 498, expected_value: K02000001, label: geography} + - {column: D, row: 498, expected_value: All persons, label: sex} + - {column: E, row: 498, expected_value: Self-employed, label: employment type} + - {column: J, row: 498, expected_value: Value, label: measure} + - {column: L, row: 499, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 500 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 500, expected_value: K02000001, label: geography} + - {column: D, row: 500, expected_value: All persons, label: sex} + - {column: E, row: 500, expected_value: Self-employed, label: employment type} + - {column: J, row: 500, expected_value: Value, label: measure} + - {column: L, row: 501, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 502 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 502, expected_value: K02000001, label: geography} + - {column: D, row: 502, expected_value: All persons, label: sex} + - {column: E, row: 502, expected_value: Self-employed, label: employment type} + - {column: J, row: 502, expected_value: Value, label: measure} + - {column: L, row: 503, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 504 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 504, expected_value: K02000001, label: geography} + - {column: D, row: 504, expected_value: All persons, label: sex} + - {column: E, row: 504, expected_value: Self-employed, label: employment type} + - {column: J, row: 504, expected_value: Value, label: measure} + - {column: L, row: 505, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 435 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 435, expected_value: K02000001, label: geography} + - {column: D, row: 435, expected_value: All persons, label: sex} + - {column: E, row: 435, expected_value: Self-employed, label: employment type} + - {column: J, row: 435, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 437 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 437, expected_value: K02000001, label: geography} + - {column: D, row: 437, expected_value: All persons, label: sex} + - {column: E, row: 437, expected_value: Self-employed, label: employment type} + - {column: J, row: 437, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 439 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 439, expected_value: K02000001, label: geography} + - {column: D, row: 439, expected_value: All persons, label: sex} + - {column: E, row: 439, expected_value: Self-employed, label: employment type} + - {column: J, row: 439, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 441 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 441, expected_value: K02000001, label: geography} + - {column: D, row: 441, expected_value: All persons, label: sex} + - {column: E, row: 441, expected_value: Self-employed, label: employment type} + - {column: J, row: 441, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 443 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 443, expected_value: K02000001, label: geography} + - {column: D, row: 443, expected_value: All persons, label: sex} + - {column: E, row: 443, expected_value: Self-employed, label: employment type} + - {column: J, row: 443, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 445 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 445, expected_value: K02000001, label: geography} + - {column: D, row: 445, expected_value: All persons, label: sex} + - {column: E, row: 445, expected_value: Self-employed, label: employment type} + - {column: J, row: 445, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 447 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 447, expected_value: K02000001, label: geography} + - {column: D, row: 447, expected_value: All persons, label: sex} + - {column: E, row: 447, expected_value: Self-employed, label: employment type} + - {column: J, row: 447, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 449 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 449, expected_value: K02000001, label: geography} + - {column: D, row: 449, expected_value: All persons, label: sex} + - {column: E, row: 449, expected_value: Self-employed, label: employment type} + - {column: J, row: 449, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 451 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 451, expected_value: K02000001, label: geography} + - {column: D, row: 451, expected_value: All persons, label: sex} + - {column: E, row: 451, expected_value: Self-employed, label: employment type} + - {column: J, row: 451, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 453 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 453, expected_value: K02000001, label: geography} + - {column: D, row: 453, expected_value: All persons, label: sex} + - {column: E, row: 453, expected_value: Self-employed, label: employment type} + - {column: J, row: 453, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 455 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 455, expected_value: K02000001, label: geography} + - {column: D, row: 455, expected_value: All persons, label: sex} + - {column: E, row: 455, expected_value: Self-employed, label: employment type} + - {column: J, row: 455, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 457 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 457, expected_value: K02000001, label: geography} + - {column: D, row: 457, expected_value: All persons, label: sex} + - {column: E, row: 457, expected_value: Self-employed, label: employment type} + - {column: J, row: 457, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 459 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 459, expected_value: K02000001, label: geography} + - {column: D, row: 459, expected_value: All persons, label: sex} + - {column: E, row: 459, expected_value: Self-employed, label: employment type} + - {column: J, row: 459, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 461 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 461, expected_value: K02000001, label: geography} + - {column: D, row: 461, expected_value: All persons, label: sex} + - {column: E, row: 461, expected_value: Self-employed, label: employment type} + - {column: J, row: 461, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 463 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 463, expected_value: K02000001, label: geography} + - {column: D, row: 463, expected_value: All persons, label: sex} + - {column: E, row: 463, expected_value: Self-employed, label: employment type} + - {column: J, row: 463, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 465 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 465, expected_value: K02000001, label: geography} + - {column: D, row: 465, expected_value: All persons, label: sex} + - {column: E, row: 465, expected_value: Self-employed, label: employment type} + - {column: J, row: 465, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 467 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 467, expected_value: K02000001, label: geography} + - {column: D, row: 467, expected_value: All persons, label: sex} + - {column: E, row: 467, expected_value: Self-employed, label: employment type} + - {column: J, row: 467, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 469 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 469, expected_value: K02000001, label: geography} + - {column: D, row: 469, expected_value: All persons, label: sex} + - {column: E, row: 469, expected_value: Self-employed, label: employment type} + - {column: J, row: 469, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 471 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 471, expected_value: K02000001, label: geography} + - {column: D, row: 471, expected_value: All persons, label: sex} + - {column: E, row: 471, expected_value: Self-employed, label: employment type} + - {column: J, row: 471, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 473 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 473, expected_value: K02000001, label: geography} + - {column: D, row: 473, expected_value: All persons, label: sex} + - {column: E, row: 473, expected_value: Self-employed, label: employment type} + - {column: J, row: 473, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 475 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 475, expected_value: K02000001, label: geography} + - {column: D, row: 475, expected_value: All persons, label: sex} + - {column: E, row: 475, expected_value: Self-employed, label: employment type} + - {column: J, row: 475, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 477 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 477, expected_value: K02000001, label: geography} + - {column: D, row: 477, expected_value: All persons, label: sex} + - {column: E, row: 477, expected_value: Self-employed, label: employment type} + - {column: J, row: 477, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 479 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 479, expected_value: K02000001, label: geography} + - {column: D, row: 479, expected_value: All persons, label: sex} + - {column: E, row: 479, expected_value: Self-employed, label: employment type} + - {column: J, row: 479, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 481 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 481, expected_value: K02000001, label: geography} + - {column: D, row: 481, expected_value: All persons, label: sex} + - {column: E, row: 481, expected_value: Self-employed, label: employment type} + - {column: J, row: 481, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 483 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 483, expected_value: K02000001, label: geography} + - {column: D, row: 483, expected_value: All persons, label: sex} + - {column: E, row: 483, expected_value: Self-employed, label: employment type} + - {column: J, row: 483, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 485 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 485, expected_value: K02000001, label: geography} + - {column: D, row: 485, expected_value: All persons, label: sex} + - {column: E, row: 485, expected_value: Self-employed, label: employment type} + - {column: J, row: 485, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 489 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 489, expected_value: K02000001, label: geography} + - {column: D, row: 489, expected_value: All persons, label: sex} + - {column: E, row: 489, expected_value: Self-employed, label: employment type} + - {column: J, row: 489, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 491 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 491, expected_value: K02000001, label: geography} + - {column: D, row: 491, expected_value: All persons, label: sex} + - {column: E, row: 491, expected_value: Self-employed, label: employment type} + - {column: J, row: 491, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 493 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 493, expected_value: K02000001, label: geography} + - {column: D, row: 493, expected_value: All persons, label: sex} + - {column: E, row: 493, expected_value: Self-employed, label: employment type} + - {column: J, row: 493, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 495 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 495, expected_value: K02000001, label: geography} + - {column: D, row: 495, expected_value: All persons, label: sex} + - {column: E, row: 495, expected_value: Self-employed, label: employment type} + - {column: J, row: 495, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 497 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 497, expected_value: K02000001, label: geography} + - {column: D, row: 497, expected_value: All persons, label: sex} + - {column: E, row: 497, expected_value: Self-employed, label: employment type} + - {column: J, row: 497, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 499 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 499, expected_value: K02000001, label: geography} + - {column: D, row: 499, expected_value: All persons, label: sex} + - {column: E, row: 499, expected_value: Self-employed, label: employment type} + - {column: J, row: 499, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 501 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 501, expected_value: K02000001, label: geography} + - {column: D, row: 501, expected_value: All persons, label: sex} + - {column: E, row: 501, expected_value: Self-employed, label: employment type} + - {column: J, row: 501, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 503 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 503, expected_value: K02000001, label: geography} + - {column: D, row: 503, expected_value: All persons, label: sex} + - {column: E, row: 503, expected_value: Self-employed, label: employment type} + - {column: J, row: 503, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 505 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 505, expected_value: K02000001, label: geography} + - {column: D, row: 505, expected_value: All persons, label: sex} + - {column: E, row: 505, expected_value: Self-employed, label: employment type} + - {column: J, row: 505, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 74 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 74, expected_value: K02000001, label: geography} + - {column: D, row: 74, expected_value: Males, label: sex} + - {column: E, row: 74, expected_value: Total, label: employment type} + - {column: J, row: 74, expected_value: Value, label: measure} + - {column: L, row: 75, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 76 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 76, expected_value: K02000001, label: geography} + - {column: D, row: 76, expected_value: Males, label: sex} + - {column: E, row: 76, expected_value: Total, label: employment type} + - {column: J, row: 76, expected_value: Value, label: measure} + - {column: L, row: 77, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 78 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 78, expected_value: K02000001, label: geography} + - {column: D, row: 78, expected_value: Males, label: sex} + - {column: E, row: 78, expected_value: Total, label: employment type} + - {column: J, row: 78, expected_value: Value, label: measure} + - {column: L, row: 79, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 80 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 80, expected_value: K02000001, label: geography} + - {column: D, row: 80, expected_value: Males, label: sex} + - {column: E, row: 80, expected_value: Total, label: employment type} + - {column: J, row: 80, expected_value: Value, label: measure} + - {column: L, row: 81, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 82 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 82, expected_value: K02000001, label: geography} + - {column: D, row: 82, expected_value: Males, label: sex} + - {column: E, row: 82, expected_value: Total, label: employment type} + - {column: J, row: 82, expected_value: Value, label: measure} + - {column: L, row: 83, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 84 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 84, expected_value: K02000001, label: geography} + - {column: D, row: 84, expected_value: Males, label: sex} + - {column: E, row: 84, expected_value: Total, label: employment type} + - {column: J, row: 84, expected_value: Value, label: measure} + - {column: L, row: 85, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 86 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 86, expected_value: K02000001, label: geography} + - {column: D, row: 86, expected_value: Males, label: sex} + - {column: E, row: 86, expected_value: Total, label: employment type} + - {column: J, row: 86, expected_value: Value, label: measure} + - {column: L, row: 87, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 88 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 88, expected_value: K02000001, label: geography} + - {column: D, row: 88, expected_value: Males, label: sex} + - {column: E, row: 88, expected_value: Total, label: employment type} + - {column: J, row: 88, expected_value: Value, label: measure} + - {column: L, row: 89, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 90 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 90, expected_value: K02000001, label: geography} + - {column: D, row: 90, expected_value: Males, label: sex} + - {column: E, row: 90, expected_value: Total, label: employment type} + - {column: J, row: 90, expected_value: Value, label: measure} + - {column: L, row: 91, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 92 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 92, expected_value: K02000001, label: geography} + - {column: D, row: 92, expected_value: Males, label: sex} + - {column: E, row: 92, expected_value: Total, label: employment type} + - {column: J, row: 92, expected_value: Value, label: measure} + - {column: L, row: 93, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 94 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 94, expected_value: K02000001, label: geography} + - {column: D, row: 94, expected_value: Males, label: sex} + - {column: E, row: 94, expected_value: Total, label: employment type} + - {column: J, row: 94, expected_value: Value, label: measure} + - {column: L, row: 95, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 96 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 96, expected_value: K02000001, label: geography} + - {column: D, row: 96, expected_value: Males, label: sex} + - {column: E, row: 96, expected_value: Total, label: employment type} + - {column: J, row: 96, expected_value: Value, label: measure} + - {column: L, row: 97, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 98 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 98, expected_value: K02000001, label: geography} + - {column: D, row: 98, expected_value: Males, label: sex} + - {column: E, row: 98, expected_value: Total, label: employment type} + - {column: J, row: 98, expected_value: Value, label: measure} + - {column: L, row: 99, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 100 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 100, expected_value: K02000001, label: geography} + - {column: D, row: 100, expected_value: Males, label: sex} + - {column: E, row: 100, expected_value: Total, label: employment type} + - {column: J, row: 100, expected_value: Value, label: measure} + - {column: L, row: 101, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 102 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 102, expected_value: K02000001, label: geography} + - {column: D, row: 102, expected_value: Males, label: sex} + - {column: E, row: 102, expected_value: Total, label: employment type} + - {column: J, row: 102, expected_value: Value, label: measure} + - {column: L, row: 103, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 104 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 104, expected_value: K02000001, label: geography} + - {column: D, row: 104, expected_value: Males, label: sex} + - {column: E, row: 104, expected_value: Total, label: employment type} + - {column: J, row: 104, expected_value: Value, label: measure} + - {column: L, row: 105, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 106 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 106, expected_value: K02000001, label: geography} + - {column: D, row: 106, expected_value: Males, label: sex} + - {column: E, row: 106, expected_value: Total, label: employment type} + - {column: J, row: 106, expected_value: Value, label: measure} + - {column: L, row: 107, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 108 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 108, expected_value: K02000001, label: geography} + - {column: D, row: 108, expected_value: Males, label: sex} + - {column: E, row: 108, expected_value: Total, label: employment type} + - {column: J, row: 108, expected_value: Value, label: measure} + - {column: L, row: 109, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 110 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 110, expected_value: K02000001, label: geography} + - {column: D, row: 110, expected_value: Males, label: sex} + - {column: E, row: 110, expected_value: Total, label: employment type} + - {column: J, row: 110, expected_value: Value, label: measure} + - {column: L, row: 111, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 112 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 112, expected_value: K02000001, label: geography} + - {column: D, row: 112, expected_value: Males, label: sex} + - {column: E, row: 112, expected_value: Total, label: employment type} + - {column: J, row: 112, expected_value: Value, label: measure} + - {column: L, row: 113, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 114 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 114, expected_value: K02000001, label: geography} + - {column: D, row: 114, expected_value: Males, label: sex} + - {column: E, row: 114, expected_value: Total, label: employment type} + - {column: J, row: 114, expected_value: Value, label: measure} + - {column: L, row: 115, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 116 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 116, expected_value: K02000001, label: geography} + - {column: D, row: 116, expected_value: Males, label: sex} + - {column: E, row: 116, expected_value: Total, label: employment type} + - {column: J, row: 116, expected_value: Value, label: measure} + - {column: L, row: 117, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 118 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 118, expected_value: K02000001, label: geography} + - {column: D, row: 118, expected_value: Males, label: sex} + - {column: E, row: 118, expected_value: Total, label: employment type} + - {column: J, row: 118, expected_value: Value, label: measure} + - {column: L, row: 119, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 120 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 120, expected_value: K02000001, label: geography} + - {column: D, row: 120, expected_value: Males, label: sex} + - {column: E, row: 120, expected_value: Total, label: employment type} + - {column: J, row: 120, expected_value: Value, label: measure} + - {column: L, row: 121, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 122 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 122, expected_value: K02000001, label: geography} + - {column: D, row: 122, expected_value: Males, label: sex} + - {column: E, row: 122, expected_value: Total, label: employment type} + - {column: J, row: 122, expected_value: Value, label: measure} + - {column: L, row: 123, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 124 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 124, expected_value: K02000001, label: geography} + - {column: D, row: 124, expected_value: Males, label: sex} + - {column: E, row: 124, expected_value: Total, label: employment type} + - {column: J, row: 124, expected_value: Value, label: measure} + - {column: L, row: 125, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 126 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 126, expected_value: K02000001, label: geography} + - {column: D, row: 126, expected_value: Males, label: sex} + - {column: E, row: 126, expected_value: Total, label: employment type} + - {column: J, row: 126, expected_value: Value, label: measure} + - {column: L, row: 127, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 128 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 128, expected_value: K02000001, label: geography} + - {column: D, row: 128, expected_value: Males, label: sex} + - {column: E, row: 128, expected_value: Total, label: employment type} + - {column: J, row: 128, expected_value: Value, label: measure} + - {column: L, row: 129, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 130 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 130, expected_value: K02000001, label: geography} + - {column: D, row: 130, expected_value: Males, label: sex} + - {column: E, row: 130, expected_value: Total, label: employment type} + - {column: J, row: 130, expected_value: Value, label: measure} + - {column: L, row: 131, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 132 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 132, expected_value: K02000001, label: geography} + - {column: D, row: 132, expected_value: Males, label: sex} + - {column: E, row: 132, expected_value: Total, label: employment type} + - {column: J, row: 132, expected_value: Value, label: measure} + - {column: L, row: 133, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 134 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 134, expected_value: K02000001, label: geography} + - {column: D, row: 134, expected_value: Males, label: sex} + - {column: E, row: 134, expected_value: Total, label: employment type} + - {column: J, row: 134, expected_value: Value, label: measure} + - {column: L, row: 135, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 136 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 136, expected_value: K02000001, label: geography} + - {column: D, row: 136, expected_value: Males, label: sex} + - {column: E, row: 136, expected_value: Total, label: employment type} + - {column: J, row: 136, expected_value: Value, label: measure} + - {column: L, row: 137, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 138 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 138, expected_value: K02000001, label: geography} + - {column: D, row: 138, expected_value: Males, label: sex} + - {column: E, row: 138, expected_value: Total, label: employment type} + - {column: J, row: 138, expected_value: Value, label: measure} + - {column: L, row: 139, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 140 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 140, expected_value: K02000001, label: geography} + - {column: D, row: 140, expected_value: Males, label: sex} + - {column: E, row: 140, expected_value: Total, label: employment type} + - {column: J, row: 140, expected_value: Value, label: measure} + - {column: L, row: 141, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 142 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 142, expected_value: K02000001, label: geography} + - {column: D, row: 142, expected_value: Males, label: sex} + - {column: E, row: 142, expected_value: Total, label: employment type} + - {column: J, row: 142, expected_value: Value, label: measure} + - {column: L, row: 143, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 144 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 144, expected_value: K02000001, label: geography} + - {column: D, row: 144, expected_value: Males, label: sex} + - {column: E, row: 144, expected_value: Total, label: employment type} + - {column: J, row: 144, expected_value: Value, label: measure} + - {column: L, row: 145, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 75 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 75, expected_value: K02000001, label: geography} + - {column: D, row: 75, expected_value: Males, label: sex} + - {column: E, row: 75, expected_value: Total, label: employment type} + - {column: J, row: 75, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 77 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 77, expected_value: K02000001, label: geography} + - {column: D, row: 77, expected_value: Males, label: sex} + - {column: E, row: 77, expected_value: Total, label: employment type} + - {column: J, row: 77, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 79 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 79, expected_value: K02000001, label: geography} + - {column: D, row: 79, expected_value: Males, label: sex} + - {column: E, row: 79, expected_value: Total, label: employment type} + - {column: J, row: 79, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 81 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 81, expected_value: K02000001, label: geography} + - {column: D, row: 81, expected_value: Males, label: sex} + - {column: E, row: 81, expected_value: Total, label: employment type} + - {column: J, row: 81, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 83 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 83, expected_value: K02000001, label: geography} + - {column: D, row: 83, expected_value: Males, label: sex} + - {column: E, row: 83, expected_value: Total, label: employment type} + - {column: J, row: 83, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 85 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 85, expected_value: K02000001, label: geography} + - {column: D, row: 85, expected_value: Males, label: sex} + - {column: E, row: 85, expected_value: Total, label: employment type} + - {column: J, row: 85, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 87 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 87, expected_value: K02000001, label: geography} + - {column: D, row: 87, expected_value: Males, label: sex} + - {column: E, row: 87, expected_value: Total, label: employment type} + - {column: J, row: 87, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 89 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 89, expected_value: K02000001, label: geography} + - {column: D, row: 89, expected_value: Males, label: sex} + - {column: E, row: 89, expected_value: Total, label: employment type} + - {column: J, row: 89, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 91 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 91, expected_value: K02000001, label: geography} + - {column: D, row: 91, expected_value: Males, label: sex} + - {column: E, row: 91, expected_value: Total, label: employment type} + - {column: J, row: 91, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 93 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 93, expected_value: K02000001, label: geography} + - {column: D, row: 93, expected_value: Males, label: sex} + - {column: E, row: 93, expected_value: Total, label: employment type} + - {column: J, row: 93, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 95 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 95, expected_value: K02000001, label: geography} + - {column: D, row: 95, expected_value: Males, label: sex} + - {column: E, row: 95, expected_value: Total, label: employment type} + - {column: J, row: 95, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 97 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 97, expected_value: K02000001, label: geography} + - {column: D, row: 97, expected_value: Males, label: sex} + - {column: E, row: 97, expected_value: Total, label: employment type} + - {column: J, row: 97, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 99 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 99, expected_value: K02000001, label: geography} + - {column: D, row: 99, expected_value: Males, label: sex} + - {column: E, row: 99, expected_value: Total, label: employment type} + - {column: J, row: 99, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 101 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 101, expected_value: K02000001, label: geography} + - {column: D, row: 101, expected_value: Males, label: sex} + - {column: E, row: 101, expected_value: Total, label: employment type} + - {column: J, row: 101, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 103 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 103, expected_value: K02000001, label: geography} + - {column: D, row: 103, expected_value: Males, label: sex} + - {column: E, row: 103, expected_value: Total, label: employment type} + - {column: J, row: 103, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 105 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 105, expected_value: K02000001, label: geography} + - {column: D, row: 105, expected_value: Males, label: sex} + - {column: E, row: 105, expected_value: Total, label: employment type} + - {column: J, row: 105, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 107 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 107, expected_value: K02000001, label: geography} + - {column: D, row: 107, expected_value: Males, label: sex} + - {column: E, row: 107, expected_value: Total, label: employment type} + - {column: J, row: 107, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 109 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 109, expected_value: K02000001, label: geography} + - {column: D, row: 109, expected_value: Males, label: sex} + - {column: E, row: 109, expected_value: Total, label: employment type} + - {column: J, row: 109, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 111 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 111, expected_value: K02000001, label: geography} + - {column: D, row: 111, expected_value: Males, label: sex} + - {column: E, row: 111, expected_value: Total, label: employment type} + - {column: J, row: 111, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 113 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 113, expected_value: K02000001, label: geography} + - {column: D, row: 113, expected_value: Males, label: sex} + - {column: E, row: 113, expected_value: Total, label: employment type} + - {column: J, row: 113, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 115 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 115, expected_value: K02000001, label: geography} + - {column: D, row: 115, expected_value: Males, label: sex} + - {column: E, row: 115, expected_value: Total, label: employment type} + - {column: J, row: 115, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 117 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 117, expected_value: K02000001, label: geography} + - {column: D, row: 117, expected_value: Males, label: sex} + - {column: E, row: 117, expected_value: Total, label: employment type} + - {column: J, row: 117, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 119 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 119, expected_value: K02000001, label: geography} + - {column: D, row: 119, expected_value: Males, label: sex} + - {column: E, row: 119, expected_value: Total, label: employment type} + - {column: J, row: 119, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 121 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 121, expected_value: K02000001, label: geography} + - {column: D, row: 121, expected_value: Males, label: sex} + - {column: E, row: 121, expected_value: Total, label: employment type} + - {column: J, row: 121, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 123 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 123, expected_value: K02000001, label: geography} + - {column: D, row: 123, expected_value: Males, label: sex} + - {column: E, row: 123, expected_value: Total, label: employment type} + - {column: J, row: 123, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 125 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 125, expected_value: K02000001, label: geography} + - {column: D, row: 125, expected_value: Males, label: sex} + - {column: E, row: 125, expected_value: Total, label: employment type} + - {column: J, row: 125, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 127 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 127, expected_value: K02000001, label: geography} + - {column: D, row: 127, expected_value: Males, label: sex} + - {column: E, row: 127, expected_value: Total, label: employment type} + - {column: J, row: 127, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 129 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 129, expected_value: K02000001, label: geography} + - {column: D, row: 129, expected_value: Males, label: sex} + - {column: E, row: 129, expected_value: Total, label: employment type} + - {column: J, row: 129, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 131 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 131, expected_value: K02000001, label: geography} + - {column: D, row: 131, expected_value: Males, label: sex} + - {column: E, row: 131, expected_value: Total, label: employment type} + - {column: J, row: 131, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 133 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 133, expected_value: K02000001, label: geography} + - {column: D, row: 133, expected_value: Males, label: sex} + - {column: E, row: 133, expected_value: Total, label: employment type} + - {column: J, row: 133, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 135 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 135, expected_value: K02000001, label: geography} + - {column: D, row: 135, expected_value: Males, label: sex} + - {column: E, row: 135, expected_value: Total, label: employment type} + - {column: J, row: 135, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 137 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 137, expected_value: K02000001, label: geography} + - {column: D, row: 137, expected_value: Males, label: sex} + - {column: E, row: 137, expected_value: Total, label: employment type} + - {column: J, row: 137, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 139 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 139, expected_value: K02000001, label: geography} + - {column: D, row: 139, expected_value: Males, label: sex} + - {column: E, row: 139, expected_value: Total, label: employment type} + - {column: J, row: 139, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 141 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 141, expected_value: K02000001, label: geography} + - {column: D, row: 141, expected_value: Males, label: sex} + - {column: E, row: 141, expected_value: Total, label: employment type} + - {column: J, row: 141, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 143 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 143, expected_value: K02000001, label: geography} + - {column: D, row: 143, expected_value: Males, label: sex} + - {column: E, row: 143, expected_value: Total, label: employment type} + - {column: J, row: 143, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 145 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 145, expected_value: K02000001, label: geography} + - {column: D, row: 145, expected_value: Males, label: sex} + - {column: E, row: 145, expected_value: Total, label: employment type} + - {column: J, row: 145, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 290 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 290, expected_value: K02000001, label: geography} + - {column: D, row: 290, expected_value: Males, label: sex} + - {column: E, row: 290, expected_value: Employee, label: employment type} + - {column: J, row: 290, expected_value: Value, label: measure} + - {column: L, row: 291, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 292 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 292, expected_value: K02000001, label: geography} + - {column: D, row: 292, expected_value: Males, label: sex} + - {column: E, row: 292, expected_value: Employee, label: employment type} + - {column: J, row: 292, expected_value: Value, label: measure} + - {column: L, row: 293, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 294 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 294, expected_value: K02000001, label: geography} + - {column: D, row: 294, expected_value: Males, label: sex} + - {column: E, row: 294, expected_value: Employee, label: employment type} + - {column: J, row: 294, expected_value: Value, label: measure} + - {column: L, row: 295, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 296 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 296, expected_value: K02000001, label: geography} + - {column: D, row: 296, expected_value: Males, label: sex} + - {column: E, row: 296, expected_value: Employee, label: employment type} + - {column: J, row: 296, expected_value: Value, label: measure} + - {column: L, row: 297, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 298 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 298, expected_value: K02000001, label: geography} + - {column: D, row: 298, expected_value: Males, label: sex} + - {column: E, row: 298, expected_value: Employee, label: employment type} + - {column: J, row: 298, expected_value: Value, label: measure} + - {column: L, row: 299, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 300 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 300, expected_value: K02000001, label: geography} + - {column: D, row: 300, expected_value: Males, label: sex} + - {column: E, row: 300, expected_value: Employee, label: employment type} + - {column: J, row: 300, expected_value: Value, label: measure} + - {column: L, row: 301, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 302 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 302, expected_value: K02000001, label: geography} + - {column: D, row: 302, expected_value: Males, label: sex} + - {column: E, row: 302, expected_value: Employee, label: employment type} + - {column: J, row: 302, expected_value: Value, label: measure} + - {column: L, row: 303, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 304 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 304, expected_value: K02000001, label: geography} + - {column: D, row: 304, expected_value: Males, label: sex} + - {column: E, row: 304, expected_value: Employee, label: employment type} + - {column: J, row: 304, expected_value: Value, label: measure} + - {column: L, row: 305, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 306 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 306, expected_value: K02000001, label: geography} + - {column: D, row: 306, expected_value: Males, label: sex} + - {column: E, row: 306, expected_value: Employee, label: employment type} + - {column: J, row: 306, expected_value: Value, label: measure} + - {column: L, row: 307, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 308 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 308, expected_value: K02000001, label: geography} + - {column: D, row: 308, expected_value: Males, label: sex} + - {column: E, row: 308, expected_value: Employee, label: employment type} + - {column: J, row: 308, expected_value: Value, label: measure} + - {column: L, row: 309, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 310 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 310, expected_value: K02000001, label: geography} + - {column: D, row: 310, expected_value: Males, label: sex} + - {column: E, row: 310, expected_value: Employee, label: employment type} + - {column: J, row: 310, expected_value: Value, label: measure} + - {column: L, row: 311, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 312 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 312, expected_value: K02000001, label: geography} + - {column: D, row: 312, expected_value: Males, label: sex} + - {column: E, row: 312, expected_value: Employee, label: employment type} + - {column: J, row: 312, expected_value: Value, label: measure} + - {column: L, row: 313, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 314 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 314, expected_value: K02000001, label: geography} + - {column: D, row: 314, expected_value: Males, label: sex} + - {column: E, row: 314, expected_value: Employee, label: employment type} + - {column: J, row: 314, expected_value: Value, label: measure} + - {column: L, row: 315, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 316 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 316, expected_value: K02000001, label: geography} + - {column: D, row: 316, expected_value: Males, label: sex} + - {column: E, row: 316, expected_value: Employee, label: employment type} + - {column: J, row: 316, expected_value: Value, label: measure} + - {column: L, row: 317, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 318 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 318, expected_value: K02000001, label: geography} + - {column: D, row: 318, expected_value: Males, label: sex} + - {column: E, row: 318, expected_value: Employee, label: employment type} + - {column: J, row: 318, expected_value: Value, label: measure} + - {column: L, row: 319, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 320 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 320, expected_value: K02000001, label: geography} + - {column: D, row: 320, expected_value: Males, label: sex} + - {column: E, row: 320, expected_value: Employee, label: employment type} + - {column: J, row: 320, expected_value: Value, label: measure} + - {column: L, row: 321, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 322 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 322, expected_value: K02000001, label: geography} + - {column: D, row: 322, expected_value: Males, label: sex} + - {column: E, row: 322, expected_value: Employee, label: employment type} + - {column: J, row: 322, expected_value: Value, label: measure} + - {column: L, row: 323, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 324 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 324, expected_value: K02000001, label: geography} + - {column: D, row: 324, expected_value: Males, label: sex} + - {column: E, row: 324, expected_value: Employee, label: employment type} + - {column: J, row: 324, expected_value: Value, label: measure} + - {column: L, row: 325, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 326 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 326, expected_value: K02000001, label: geography} + - {column: D, row: 326, expected_value: Males, label: sex} + - {column: E, row: 326, expected_value: Employee, label: employment type} + - {column: J, row: 326, expected_value: Value, label: measure} + - {column: L, row: 327, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 328 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 328, expected_value: K02000001, label: geography} + - {column: D, row: 328, expected_value: Males, label: sex} + - {column: E, row: 328, expected_value: Employee, label: employment type} + - {column: J, row: 328, expected_value: Value, label: measure} + - {column: L, row: 329, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 330 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 330, expected_value: K02000001, label: geography} + - {column: D, row: 330, expected_value: Males, label: sex} + - {column: E, row: 330, expected_value: Employee, label: employment type} + - {column: J, row: 330, expected_value: Value, label: measure} + - {column: L, row: 331, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 332 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 332, expected_value: K02000001, label: geography} + - {column: D, row: 332, expected_value: Males, label: sex} + - {column: E, row: 332, expected_value: Employee, label: employment type} + - {column: J, row: 332, expected_value: Value, label: measure} + - {column: L, row: 333, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 334 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 334, expected_value: K02000001, label: geography} + - {column: D, row: 334, expected_value: Males, label: sex} + - {column: E, row: 334, expected_value: Employee, label: employment type} + - {column: J, row: 334, expected_value: Value, label: measure} + - {column: L, row: 335, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 336 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 336, expected_value: K02000001, label: geography} + - {column: D, row: 336, expected_value: Males, label: sex} + - {column: E, row: 336, expected_value: Employee, label: employment type} + - {column: J, row: 336, expected_value: Value, label: measure} + - {column: L, row: 337, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 338 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 338, expected_value: K02000001, label: geography} + - {column: D, row: 338, expected_value: Males, label: sex} + - {column: E, row: 338, expected_value: Employee, label: employment type} + - {column: J, row: 338, expected_value: Value, label: measure} + - {column: L, row: 339, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 340 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 340, expected_value: K02000001, label: geography} + - {column: D, row: 340, expected_value: Males, label: sex} + - {column: E, row: 340, expected_value: Employee, label: employment type} + - {column: J, row: 340, expected_value: Value, label: measure} + - {column: L, row: 341, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 342 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 342, expected_value: K02000001, label: geography} + - {column: D, row: 342, expected_value: Males, label: sex} + - {column: E, row: 342, expected_value: Employee, label: employment type} + - {column: J, row: 342, expected_value: Value, label: measure} + - {column: L, row: 343, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 344 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 344, expected_value: K02000001, label: geography} + - {column: D, row: 344, expected_value: Males, label: sex} + - {column: E, row: 344, expected_value: Employee, label: employment type} + - {column: J, row: 344, expected_value: Value, label: measure} + - {column: L, row: 345, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 346 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 346, expected_value: K02000001, label: geography} + - {column: D, row: 346, expected_value: Males, label: sex} + - {column: E, row: 346, expected_value: Employee, label: employment type} + - {column: J, row: 346, expected_value: Value, label: measure} + - {column: L, row: 347, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 348 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 348, expected_value: K02000001, label: geography} + - {column: D, row: 348, expected_value: Males, label: sex} + - {column: E, row: 348, expected_value: Employee, label: employment type} + - {column: J, row: 348, expected_value: Value, label: measure} + - {column: L, row: 349, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 350 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 350, expected_value: K02000001, label: geography} + - {column: D, row: 350, expected_value: Males, label: sex} + - {column: E, row: 350, expected_value: Employee, label: employment type} + - {column: J, row: 350, expected_value: Value, label: measure} + - {column: L, row: 351, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 352 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 352, expected_value: K02000001, label: geography} + - {column: D, row: 352, expected_value: Males, label: sex} + - {column: E, row: 352, expected_value: Employee, label: employment type} + - {column: J, row: 352, expected_value: Value, label: measure} + - {column: L, row: 353, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 354 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 354, expected_value: K02000001, label: geography} + - {column: D, row: 354, expected_value: Males, label: sex} + - {column: E, row: 354, expected_value: Employee, label: employment type} + - {column: J, row: 354, expected_value: Value, label: measure} + - {column: L, row: 355, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 356 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 356, expected_value: K02000001, label: geography} + - {column: D, row: 356, expected_value: Males, label: sex} + - {column: E, row: 356, expected_value: Employee, label: employment type} + - {column: J, row: 356, expected_value: Value, label: measure} + - {column: L, row: 357, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 358 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 358, expected_value: K02000001, label: geography} + - {column: D, row: 358, expected_value: Males, label: sex} + - {column: E, row: 358, expected_value: Employee, label: employment type} + - {column: J, row: 358, expected_value: Value, label: measure} + - {column: L, row: 359, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 360 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 360, expected_value: K02000001, label: geography} + - {column: D, row: 360, expected_value: Males, label: sex} + - {column: E, row: 360, expected_value: Employee, label: employment type} + - {column: J, row: 360, expected_value: Value, label: measure} + - {column: L, row: 361, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 291 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 291, expected_value: K02000001, label: geography} + - {column: D, row: 291, expected_value: Males, label: sex} + - {column: E, row: 291, expected_value: Employee, label: employment type} + - {column: J, row: 291, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 293 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 293, expected_value: K02000001, label: geography} + - {column: D, row: 293, expected_value: Males, label: sex} + - {column: E, row: 293, expected_value: Employee, label: employment type} + - {column: J, row: 293, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 295 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 295, expected_value: K02000001, label: geography} + - {column: D, row: 295, expected_value: Males, label: sex} + - {column: E, row: 295, expected_value: Employee, label: employment type} + - {column: J, row: 295, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 297 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 297, expected_value: K02000001, label: geography} + - {column: D, row: 297, expected_value: Males, label: sex} + - {column: E, row: 297, expected_value: Employee, label: employment type} + - {column: J, row: 297, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 299 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 299, expected_value: K02000001, label: geography} + - {column: D, row: 299, expected_value: Males, label: sex} + - {column: E, row: 299, expected_value: Employee, label: employment type} + - {column: J, row: 299, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 301 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 301, expected_value: K02000001, label: geography} + - {column: D, row: 301, expected_value: Males, label: sex} + - {column: E, row: 301, expected_value: Employee, label: employment type} + - {column: J, row: 301, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 303 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 303, expected_value: K02000001, label: geography} + - {column: D, row: 303, expected_value: Males, label: sex} + - {column: E, row: 303, expected_value: Employee, label: employment type} + - {column: J, row: 303, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 305 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 305, expected_value: K02000001, label: geography} + - {column: D, row: 305, expected_value: Males, label: sex} + - {column: E, row: 305, expected_value: Employee, label: employment type} + - {column: J, row: 305, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 307 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 307, expected_value: K02000001, label: geography} + - {column: D, row: 307, expected_value: Males, label: sex} + - {column: E, row: 307, expected_value: Employee, label: employment type} + - {column: J, row: 307, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 309 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 309, expected_value: K02000001, label: geography} + - {column: D, row: 309, expected_value: Males, label: sex} + - {column: E, row: 309, expected_value: Employee, label: employment type} + - {column: J, row: 309, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 311 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 311, expected_value: K02000001, label: geography} + - {column: D, row: 311, expected_value: Males, label: sex} + - {column: E, row: 311, expected_value: Employee, label: employment type} + - {column: J, row: 311, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 313 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 313, expected_value: K02000001, label: geography} + - {column: D, row: 313, expected_value: Males, label: sex} + - {column: E, row: 313, expected_value: Employee, label: employment type} + - {column: J, row: 313, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 315 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 315, expected_value: K02000001, label: geography} + - {column: D, row: 315, expected_value: Males, label: sex} + - {column: E, row: 315, expected_value: Employee, label: employment type} + - {column: J, row: 315, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 317 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 317, expected_value: K02000001, label: geography} + - {column: D, row: 317, expected_value: Males, label: sex} + - {column: E, row: 317, expected_value: Employee, label: employment type} + - {column: J, row: 317, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 319 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 319, expected_value: K02000001, label: geography} + - {column: D, row: 319, expected_value: Males, label: sex} + - {column: E, row: 319, expected_value: Employee, label: employment type} + - {column: J, row: 319, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 321 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 321, expected_value: K02000001, label: geography} + - {column: D, row: 321, expected_value: Males, label: sex} + - {column: E, row: 321, expected_value: Employee, label: employment type} + - {column: J, row: 321, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 323 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 323, expected_value: K02000001, label: geography} + - {column: D, row: 323, expected_value: Males, label: sex} + - {column: E, row: 323, expected_value: Employee, label: employment type} + - {column: J, row: 323, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 325 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 325, expected_value: K02000001, label: geography} + - {column: D, row: 325, expected_value: Males, label: sex} + - {column: E, row: 325, expected_value: Employee, label: employment type} + - {column: J, row: 325, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 327 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 327, expected_value: K02000001, label: geography} + - {column: D, row: 327, expected_value: Males, label: sex} + - {column: E, row: 327, expected_value: Employee, label: employment type} + - {column: J, row: 327, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 329 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 329, expected_value: K02000001, label: geography} + - {column: D, row: 329, expected_value: Males, label: sex} + - {column: E, row: 329, expected_value: Employee, label: employment type} + - {column: J, row: 329, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 331 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 331, expected_value: K02000001, label: geography} + - {column: D, row: 331, expected_value: Males, label: sex} + - {column: E, row: 331, expected_value: Employee, label: employment type} + - {column: J, row: 331, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 333 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 333, expected_value: K02000001, label: geography} + - {column: D, row: 333, expected_value: Males, label: sex} + - {column: E, row: 333, expected_value: Employee, label: employment type} + - {column: J, row: 333, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 335 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 335, expected_value: K02000001, label: geography} + - {column: D, row: 335, expected_value: Males, label: sex} + - {column: E, row: 335, expected_value: Employee, label: employment type} + - {column: J, row: 335, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 337 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 337, expected_value: K02000001, label: geography} + - {column: D, row: 337, expected_value: Males, label: sex} + - {column: E, row: 337, expected_value: Employee, label: employment type} + - {column: J, row: 337, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 339 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 339, expected_value: K02000001, label: geography} + - {column: D, row: 339, expected_value: Males, label: sex} + - {column: E, row: 339, expected_value: Employee, label: employment type} + - {column: J, row: 339, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 341 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 341, expected_value: K02000001, label: geography} + - {column: D, row: 341, expected_value: Males, label: sex} + - {column: E, row: 341, expected_value: Employee, label: employment type} + - {column: J, row: 341, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 343 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 343, expected_value: K02000001, label: geography} + - {column: D, row: 343, expected_value: Males, label: sex} + - {column: E, row: 343, expected_value: Employee, label: employment type} + - {column: J, row: 343, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 345 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 345, expected_value: K02000001, label: geography} + - {column: D, row: 345, expected_value: Males, label: sex} + - {column: E, row: 345, expected_value: Employee, label: employment type} + - {column: J, row: 345, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 347 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 347, expected_value: K02000001, label: geography} + - {column: D, row: 347, expected_value: Males, label: sex} + - {column: E, row: 347, expected_value: Employee, label: employment type} + - {column: J, row: 347, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 349 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 349, expected_value: K02000001, label: geography} + - {column: D, row: 349, expected_value: Males, label: sex} + - {column: E, row: 349, expected_value: Employee, label: employment type} + - {column: J, row: 349, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 351 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 351, expected_value: K02000001, label: geography} + - {column: D, row: 351, expected_value: Males, label: sex} + - {column: E, row: 351, expected_value: Employee, label: employment type} + - {column: J, row: 351, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 353 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 353, expected_value: K02000001, label: geography} + - {column: D, row: 353, expected_value: Males, label: sex} + - {column: E, row: 353, expected_value: Employee, label: employment type} + - {column: J, row: 353, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 355 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 355, expected_value: K02000001, label: geography} + - {column: D, row: 355, expected_value: Males, label: sex} + - {column: E, row: 355, expected_value: Employee, label: employment type} + - {column: J, row: 355, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 357 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 357, expected_value: K02000001, label: geography} + - {column: D, row: 357, expected_value: Males, label: sex} + - {column: E, row: 357, expected_value: Employee, label: employment type} + - {column: J, row: 357, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 359 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 359, expected_value: K02000001, label: geography} + - {column: D, row: 359, expected_value: Males, label: sex} + - {column: E, row: 359, expected_value: Employee, label: employment type} + - {column: J, row: 359, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 361 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 361, expected_value: K02000001, label: geography} + - {column: D, row: 361, expected_value: Males, label: sex} + - {column: E, row: 361, expected_value: Employee, label: employment type} + - {column: J, row: 361, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 506 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 506, expected_value: K02000001, label: geography} + - {column: D, row: 506, expected_value: Males, label: sex} + - {column: E, row: 506, expected_value: Self-employed, label: employment type} + - {column: J, row: 506, expected_value: Value, label: measure} + - {column: L, row: 507, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 508 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 508, expected_value: K02000001, label: geography} + - {column: D, row: 508, expected_value: Males, label: sex} + - {column: E, row: 508, expected_value: Self-employed, label: employment type} + - {column: J, row: 508, expected_value: Value, label: measure} + - {column: L, row: 509, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 510 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 510, expected_value: K02000001, label: geography} + - {column: D, row: 510, expected_value: Males, label: sex} + - {column: E, row: 510, expected_value: Self-employed, label: employment type} + - {column: J, row: 510, expected_value: Value, label: measure} + - {column: L, row: 511, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 512 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 512, expected_value: K02000001, label: geography} + - {column: D, row: 512, expected_value: Males, label: sex} + - {column: E, row: 512, expected_value: Self-employed, label: employment type} + - {column: J, row: 512, expected_value: Value, label: measure} + - {column: L, row: 513, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 514 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 514, expected_value: K02000001, label: geography} + - {column: D, row: 514, expected_value: Males, label: sex} + - {column: E, row: 514, expected_value: Self-employed, label: employment type} + - {column: J, row: 514, expected_value: Value, label: measure} + - {column: L, row: 515, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 516 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 516, expected_value: K02000001, label: geography} + - {column: D, row: 516, expected_value: Males, label: sex} + - {column: E, row: 516, expected_value: Self-employed, label: employment type} + - {column: J, row: 516, expected_value: Value, label: measure} + - {column: L, row: 517, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 518 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 518, expected_value: K02000001, label: geography} + - {column: D, row: 518, expected_value: Males, label: sex} + - {column: E, row: 518, expected_value: Self-employed, label: employment type} + - {column: J, row: 518, expected_value: Value, label: measure} + - {column: L, row: 519, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 520 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 520, expected_value: K02000001, label: geography} + - {column: D, row: 520, expected_value: Males, label: sex} + - {column: E, row: 520, expected_value: Self-employed, label: employment type} + - {column: J, row: 520, expected_value: Value, label: measure} + - {column: L, row: 521, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 522 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 522, expected_value: K02000001, label: geography} + - {column: D, row: 522, expected_value: Males, label: sex} + - {column: E, row: 522, expected_value: Self-employed, label: employment type} + - {column: J, row: 522, expected_value: Value, label: measure} + - {column: L, row: 523, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 524 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 524, expected_value: K02000001, label: geography} + - {column: D, row: 524, expected_value: Males, label: sex} + - {column: E, row: 524, expected_value: Self-employed, label: employment type} + - {column: J, row: 524, expected_value: Value, label: measure} + - {column: L, row: 525, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 526 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 526, expected_value: K02000001, label: geography} + - {column: D, row: 526, expected_value: Males, label: sex} + - {column: E, row: 526, expected_value: Self-employed, label: employment type} + - {column: J, row: 526, expected_value: Value, label: measure} + - {column: L, row: 527, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 528 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 528, expected_value: K02000001, label: geography} + - {column: D, row: 528, expected_value: Males, label: sex} + - {column: E, row: 528, expected_value: Self-employed, label: employment type} + - {column: J, row: 528, expected_value: Value, label: measure} + - {column: L, row: 529, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 530 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 530, expected_value: K02000001, label: geography} + - {column: D, row: 530, expected_value: Males, label: sex} + - {column: E, row: 530, expected_value: Self-employed, label: employment type} + - {column: J, row: 530, expected_value: Value, label: measure} + - {column: L, row: 531, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 532 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 532, expected_value: K02000001, label: geography} + - {column: D, row: 532, expected_value: Males, label: sex} + - {column: E, row: 532, expected_value: Self-employed, label: employment type} + - {column: J, row: 532, expected_value: Value, label: measure} + - {column: L, row: 533, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 534 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 534, expected_value: K02000001, label: geography} + - {column: D, row: 534, expected_value: Males, label: sex} + - {column: E, row: 534, expected_value: Self-employed, label: employment type} + - {column: J, row: 534, expected_value: Value, label: measure} + - {column: L, row: 535, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 536 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 536, expected_value: K02000001, label: geography} + - {column: D, row: 536, expected_value: Males, label: sex} + - {column: E, row: 536, expected_value: Self-employed, label: employment type} + - {column: J, row: 536, expected_value: Value, label: measure} + - {column: L, row: 537, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 538 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 538, expected_value: K02000001, label: geography} + - {column: D, row: 538, expected_value: Males, label: sex} + - {column: E, row: 538, expected_value: Self-employed, label: employment type} + - {column: J, row: 538, expected_value: Value, label: measure} + - {column: L, row: 539, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 542 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 542, expected_value: K02000001, label: geography} + - {column: D, row: 542, expected_value: Males, label: sex} + - {column: E, row: 542, expected_value: Self-employed, label: employment type} + - {column: J, row: 542, expected_value: Value, label: measure} + - {column: L, row: 543, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 544 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 544, expected_value: K02000001, label: geography} + - {column: D, row: 544, expected_value: Males, label: sex} + - {column: E, row: 544, expected_value: Self-employed, label: employment type} + - {column: J, row: 544, expected_value: Value, label: measure} + - {column: L, row: 545, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 546 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 546, expected_value: K02000001, label: geography} + - {column: D, row: 546, expected_value: Males, label: sex} + - {column: E, row: 546, expected_value: Self-employed, label: employment type} + - {column: J, row: 546, expected_value: Value, label: measure} + - {column: L, row: 547, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 548 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 548, expected_value: K02000001, label: geography} + - {column: D, row: 548, expected_value: Males, label: sex} + - {column: E, row: 548, expected_value: Self-employed, label: employment type} + - {column: J, row: 548, expected_value: Value, label: measure} + - {column: L, row: 549, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 550 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 550, expected_value: K02000001, label: geography} + - {column: D, row: 550, expected_value: Males, label: sex} + - {column: E, row: 550, expected_value: Self-employed, label: employment type} + - {column: J, row: 550, expected_value: Value, label: measure} + - {column: L, row: 551, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 552 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 552, expected_value: K02000001, label: geography} + - {column: D, row: 552, expected_value: Males, label: sex} + - {column: E, row: 552, expected_value: Self-employed, label: employment type} + - {column: J, row: 552, expected_value: Value, label: measure} + - {column: L, row: 553, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 554 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 554, expected_value: K02000001, label: geography} + - {column: D, row: 554, expected_value: Males, label: sex} + - {column: E, row: 554, expected_value: Self-employed, label: employment type} + - {column: J, row: 554, expected_value: Value, label: measure} + - {column: L, row: 555, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 556 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 556, expected_value: K02000001, label: geography} + - {column: D, row: 556, expected_value: Males, label: sex} + - {column: E, row: 556, expected_value: Self-employed, label: employment type} + - {column: J, row: 556, expected_value: Value, label: measure} + - {column: L, row: 557, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 560 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 560, expected_value: K02000001, label: geography} + - {column: D, row: 560, expected_value: Males, label: sex} + - {column: E, row: 560, expected_value: Self-employed, label: employment type} + - {column: J, row: 560, expected_value: Value, label: measure} + - {column: L, row: 561, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 562 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 562, expected_value: K02000001, label: geography} + - {column: D, row: 562, expected_value: Males, label: sex} + - {column: E, row: 562, expected_value: Self-employed, label: employment type} + - {column: J, row: 562, expected_value: Value, label: measure} + - {column: L, row: 563, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 564 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 564, expected_value: K02000001, label: geography} + - {column: D, row: 564, expected_value: Males, label: sex} + - {column: E, row: 564, expected_value: Self-employed, label: employment type} + - {column: J, row: 564, expected_value: Value, label: measure} + - {column: L, row: 565, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 566 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 566, expected_value: K02000001, label: geography} + - {column: D, row: 566, expected_value: Males, label: sex} + - {column: E, row: 566, expected_value: Self-employed, label: employment type} + - {column: J, row: 566, expected_value: Value, label: measure} + - {column: L, row: 567, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 568 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 568, expected_value: K02000001, label: geography} + - {column: D, row: 568, expected_value: Males, label: sex} + - {column: E, row: 568, expected_value: Self-employed, label: employment type} + - {column: J, row: 568, expected_value: Value, label: measure} + - {column: L, row: 569, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 570 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 570, expected_value: K02000001, label: geography} + - {column: D, row: 570, expected_value: Males, label: sex} + - {column: E, row: 570, expected_value: Self-employed, label: employment type} + - {column: J, row: 570, expected_value: Value, label: measure} + - {column: L, row: 571, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 572 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 572, expected_value: K02000001, label: geography} + - {column: D, row: 572, expected_value: Males, label: sex} + - {column: E, row: 572, expected_value: Self-employed, label: employment type} + - {column: J, row: 572, expected_value: Value, label: measure} + - {column: L, row: 573, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 574 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 574, expected_value: K02000001, label: geography} + - {column: D, row: 574, expected_value: Males, label: sex} + - {column: E, row: 574, expected_value: Self-employed, label: employment type} + - {column: J, row: 574, expected_value: Value, label: measure} + - {column: L, row: 575, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 576 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 576, expected_value: K02000001, label: geography} + - {column: D, row: 576, expected_value: Males, label: sex} + - {column: E, row: 576, expected_value: Self-employed, label: employment type} + - {column: J, row: 576, expected_value: Value, label: measure} + - {column: L, row: 577, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 507 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 507, expected_value: K02000001, label: geography} + - {column: D, row: 507, expected_value: Males, label: sex} + - {column: E, row: 507, expected_value: Self-employed, label: employment type} + - {column: J, row: 507, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 509 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 509, expected_value: K02000001, label: geography} + - {column: D, row: 509, expected_value: Males, label: sex} + - {column: E, row: 509, expected_value: Self-employed, label: employment type} + - {column: J, row: 509, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 511 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 511, expected_value: K02000001, label: geography} + - {column: D, row: 511, expected_value: Males, label: sex} + - {column: E, row: 511, expected_value: Self-employed, label: employment type} + - {column: J, row: 511, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 513 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 513, expected_value: K02000001, label: geography} + - {column: D, row: 513, expected_value: Males, label: sex} + - {column: E, row: 513, expected_value: Self-employed, label: employment type} + - {column: J, row: 513, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 515 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 515, expected_value: K02000001, label: geography} + - {column: D, row: 515, expected_value: Males, label: sex} + - {column: E, row: 515, expected_value: Self-employed, label: employment type} + - {column: J, row: 515, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 517 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 517, expected_value: K02000001, label: geography} + - {column: D, row: 517, expected_value: Males, label: sex} + - {column: E, row: 517, expected_value: Self-employed, label: employment type} + - {column: J, row: 517, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 519 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 519, expected_value: K02000001, label: geography} + - {column: D, row: 519, expected_value: Males, label: sex} + - {column: E, row: 519, expected_value: Self-employed, label: employment type} + - {column: J, row: 519, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 521 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 521, expected_value: K02000001, label: geography} + - {column: D, row: 521, expected_value: Males, label: sex} + - {column: E, row: 521, expected_value: Self-employed, label: employment type} + - {column: J, row: 521, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 523 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 523, expected_value: K02000001, label: geography} + - {column: D, row: 523, expected_value: Males, label: sex} + - {column: E, row: 523, expected_value: Self-employed, label: employment type} + - {column: J, row: 523, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 525 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 525, expected_value: K02000001, label: geography} + - {column: D, row: 525, expected_value: Males, label: sex} + - {column: E, row: 525, expected_value: Self-employed, label: employment type} + - {column: J, row: 525, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 527 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 527, expected_value: K02000001, label: geography} + - {column: D, row: 527, expected_value: Males, label: sex} + - {column: E, row: 527, expected_value: Self-employed, label: employment type} + - {column: J, row: 527, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 529 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 529, expected_value: K02000001, label: geography} + - {column: D, row: 529, expected_value: Males, label: sex} + - {column: E, row: 529, expected_value: Self-employed, label: employment type} + - {column: J, row: 529, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 531 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 531, expected_value: K02000001, label: geography} + - {column: D, row: 531, expected_value: Males, label: sex} + - {column: E, row: 531, expected_value: Self-employed, label: employment type} + - {column: J, row: 531, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 533 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 533, expected_value: K02000001, label: geography} + - {column: D, row: 533, expected_value: Males, label: sex} + - {column: E, row: 533, expected_value: Self-employed, label: employment type} + - {column: J, row: 533, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 535 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 535, expected_value: K02000001, label: geography} + - {column: D, row: 535, expected_value: Males, label: sex} + - {column: E, row: 535, expected_value: Self-employed, label: employment type} + - {column: J, row: 535, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 537 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 537, expected_value: K02000001, label: geography} + - {column: D, row: 537, expected_value: Males, label: sex} + - {column: E, row: 537, expected_value: Self-employed, label: employment type} + - {column: J, row: 537, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 539 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 539, expected_value: K02000001, label: geography} + - {column: D, row: 539, expected_value: Males, label: sex} + - {column: E, row: 539, expected_value: Self-employed, label: employment type} + - {column: J, row: 539, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 543 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 543, expected_value: K02000001, label: geography} + - {column: D, row: 543, expected_value: Males, label: sex} + - {column: E, row: 543, expected_value: Self-employed, label: employment type} + - {column: J, row: 543, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 545 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 545, expected_value: K02000001, label: geography} + - {column: D, row: 545, expected_value: Males, label: sex} + - {column: E, row: 545, expected_value: Self-employed, label: employment type} + - {column: J, row: 545, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 547 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 547, expected_value: K02000001, label: geography} + - {column: D, row: 547, expected_value: Males, label: sex} + - {column: E, row: 547, expected_value: Self-employed, label: employment type} + - {column: J, row: 547, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 549 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 549, expected_value: K02000001, label: geography} + - {column: D, row: 549, expected_value: Males, label: sex} + - {column: E, row: 549, expected_value: Self-employed, label: employment type} + - {column: J, row: 549, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 551 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 551, expected_value: K02000001, label: geography} + - {column: D, row: 551, expected_value: Males, label: sex} + - {column: E, row: 551, expected_value: Self-employed, label: employment type} + - {column: J, row: 551, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 553 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 553, expected_value: K02000001, label: geography} + - {column: D, row: 553, expected_value: Males, label: sex} + - {column: E, row: 553, expected_value: Self-employed, label: employment type} + - {column: J, row: 553, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 555 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 555, expected_value: K02000001, label: geography} + - {column: D, row: 555, expected_value: Males, label: sex} + - {column: E, row: 555, expected_value: Self-employed, label: employment type} + - {column: J, row: 555, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 557 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 557, expected_value: K02000001, label: geography} + - {column: D, row: 557, expected_value: Males, label: sex} + - {column: E, row: 557, expected_value: Self-employed, label: employment type} + - {column: J, row: 557, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 561 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 561, expected_value: K02000001, label: geography} + - {column: D, row: 561, expected_value: Males, label: sex} + - {column: E, row: 561, expected_value: Self-employed, label: employment type} + - {column: J, row: 561, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 563 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 563, expected_value: K02000001, label: geography} + - {column: D, row: 563, expected_value: Males, label: sex} + - {column: E, row: 563, expected_value: Self-employed, label: employment type} + - {column: J, row: 563, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 567 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 567, expected_value: K02000001, label: geography} + - {column: D, row: 567, expected_value: Males, label: sex} + - {column: E, row: 567, expected_value: Self-employed, label: employment type} + - {column: J, row: 567, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 569 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 569, expected_value: K02000001, label: geography} + - {column: D, row: 569, expected_value: Males, label: sex} + - {column: E, row: 569, expected_value: Self-employed, label: employment type} + - {column: J, row: 569, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 571 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 571, expected_value: K02000001, label: geography} + - {column: D, row: 571, expected_value: Males, label: sex} + - {column: E, row: 571, expected_value: Self-employed, label: employment type} + - {column: J, row: 571, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 573 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 573, expected_value: K02000001, label: geography} + - {column: D, row: 573, expected_value: Males, label: sex} + - {column: E, row: 573, expected_value: Self-employed, label: employment type} + - {column: J, row: 573, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 575 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 575, expected_value: K02000001, label: geography} + - {column: D, row: 575, expected_value: Males, label: sex} + - {column: E, row: 575, expected_value: Self-employed, label: employment type} + - {column: J, row: 575, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 577 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 577, expected_value: K02000001, label: geography} + - {column: D, row: 577, expected_value: Males, label: sex} + - {column: E, row: 577, expected_value: Self-employed, label: employment type} + - {column: J, row: 577, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 146 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 146, expected_value: K02000001, label: geography} + - {column: D, row: 146, expected_value: Females, label: sex} + - {column: E, row: 146, expected_value: Total, label: employment type} + - {column: J, row: 146, expected_value: Value, label: measure} + - {column: L, row: 147, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 148 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 148, expected_value: K02000001, label: geography} + - {column: D, row: 148, expected_value: Females, label: sex} + - {column: E, row: 148, expected_value: Total, label: employment type} + - {column: J, row: 148, expected_value: Value, label: measure} + - {column: L, row: 149, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 150 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 150, expected_value: K02000001, label: geography} + - {column: D, row: 150, expected_value: Females, label: sex} + - {column: E, row: 150, expected_value: Total, label: employment type} + - {column: J, row: 150, expected_value: Value, label: measure} + - {column: L, row: 151, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 152 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 152, expected_value: K02000001, label: geography} + - {column: D, row: 152, expected_value: Females, label: sex} + - {column: E, row: 152, expected_value: Total, label: employment type} + - {column: J, row: 152, expected_value: Value, label: measure} + - {column: L, row: 153, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 154 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 154, expected_value: K02000001, label: geography} + - {column: D, row: 154, expected_value: Females, label: sex} + - {column: E, row: 154, expected_value: Total, label: employment type} + - {column: J, row: 154, expected_value: Value, label: measure} + - {column: L, row: 155, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 156 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 156, expected_value: K02000001, label: geography} + - {column: D, row: 156, expected_value: Females, label: sex} + - {column: E, row: 156, expected_value: Total, label: employment type} + - {column: J, row: 156, expected_value: Value, label: measure} + - {column: L, row: 157, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 158 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 158, expected_value: K02000001, label: geography} + - {column: D, row: 158, expected_value: Females, label: sex} + - {column: E, row: 158, expected_value: Total, label: employment type} + - {column: J, row: 158, expected_value: Value, label: measure} + - {column: L, row: 159, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 160 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 160, expected_value: K02000001, label: geography} + - {column: D, row: 160, expected_value: Females, label: sex} + - {column: E, row: 160, expected_value: Total, label: employment type} + - {column: J, row: 160, expected_value: Value, label: measure} + - {column: L, row: 161, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 162 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 162, expected_value: K02000001, label: geography} + - {column: D, row: 162, expected_value: Females, label: sex} + - {column: E, row: 162, expected_value: Total, label: employment type} + - {column: J, row: 162, expected_value: Value, label: measure} + - {column: L, row: 163, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 164 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 164, expected_value: K02000001, label: geography} + - {column: D, row: 164, expected_value: Females, label: sex} + - {column: E, row: 164, expected_value: Total, label: employment type} + - {column: J, row: 164, expected_value: Value, label: measure} + - {column: L, row: 165, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 166 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 166, expected_value: K02000001, label: geography} + - {column: D, row: 166, expected_value: Females, label: sex} + - {column: E, row: 166, expected_value: Total, label: employment type} + - {column: J, row: 166, expected_value: Value, label: measure} + - {column: L, row: 167, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 168 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 168, expected_value: K02000001, label: geography} + - {column: D, row: 168, expected_value: Females, label: sex} + - {column: E, row: 168, expected_value: Total, label: employment type} + - {column: J, row: 168, expected_value: Value, label: measure} + - {column: L, row: 169, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 170 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 170, expected_value: K02000001, label: geography} + - {column: D, row: 170, expected_value: Females, label: sex} + - {column: E, row: 170, expected_value: Total, label: employment type} + - {column: J, row: 170, expected_value: Value, label: measure} + - {column: L, row: 171, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 172 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 172, expected_value: K02000001, label: geography} + - {column: D, row: 172, expected_value: Females, label: sex} + - {column: E, row: 172, expected_value: Total, label: employment type} + - {column: J, row: 172, expected_value: Value, label: measure} + - {column: L, row: 173, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 174 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 174, expected_value: K02000001, label: geography} + - {column: D, row: 174, expected_value: Females, label: sex} + - {column: E, row: 174, expected_value: Total, label: employment type} + - {column: J, row: 174, expected_value: Value, label: measure} + - {column: L, row: 175, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 176 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 176, expected_value: K02000001, label: geography} + - {column: D, row: 176, expected_value: Females, label: sex} + - {column: E, row: 176, expected_value: Total, label: employment type} + - {column: J, row: 176, expected_value: Value, label: measure} + - {column: L, row: 177, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 178 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 178, expected_value: K02000001, label: geography} + - {column: D, row: 178, expected_value: Females, label: sex} + - {column: E, row: 178, expected_value: Total, label: employment type} + - {column: J, row: 178, expected_value: Value, label: measure} + - {column: L, row: 179, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 180 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 180, expected_value: K02000001, label: geography} + - {column: D, row: 180, expected_value: Females, label: sex} + - {column: E, row: 180, expected_value: Total, label: employment type} + - {column: J, row: 180, expected_value: Value, label: measure} + - {column: L, row: 181, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 182 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 182, expected_value: K02000001, label: geography} + - {column: D, row: 182, expected_value: Females, label: sex} + - {column: E, row: 182, expected_value: Total, label: employment type} + - {column: J, row: 182, expected_value: Value, label: measure} + - {column: L, row: 183, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 184 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 184, expected_value: K02000001, label: geography} + - {column: D, row: 184, expected_value: Females, label: sex} + - {column: E, row: 184, expected_value: Total, label: employment type} + - {column: J, row: 184, expected_value: Value, label: measure} + - {column: L, row: 185, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 186 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 186, expected_value: K02000001, label: geography} + - {column: D, row: 186, expected_value: Females, label: sex} + - {column: E, row: 186, expected_value: Total, label: employment type} + - {column: J, row: 186, expected_value: Value, label: measure} + - {column: L, row: 187, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 188 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 188, expected_value: K02000001, label: geography} + - {column: D, row: 188, expected_value: Females, label: sex} + - {column: E, row: 188, expected_value: Total, label: employment type} + - {column: J, row: 188, expected_value: Value, label: measure} + - {column: L, row: 189, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 190 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 190, expected_value: K02000001, label: geography} + - {column: D, row: 190, expected_value: Females, label: sex} + - {column: E, row: 190, expected_value: Total, label: employment type} + - {column: J, row: 190, expected_value: Value, label: measure} + - {column: L, row: 191, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 192 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 192, expected_value: K02000001, label: geography} + - {column: D, row: 192, expected_value: Females, label: sex} + - {column: E, row: 192, expected_value: Total, label: employment type} + - {column: J, row: 192, expected_value: Value, label: measure} + - {column: L, row: 193, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 194 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 194, expected_value: K02000001, label: geography} + - {column: D, row: 194, expected_value: Females, label: sex} + - {column: E, row: 194, expected_value: Total, label: employment type} + - {column: J, row: 194, expected_value: Value, label: measure} + - {column: L, row: 195, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 196 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 196, expected_value: K02000001, label: geography} + - {column: D, row: 196, expected_value: Females, label: sex} + - {column: E, row: 196, expected_value: Total, label: employment type} + - {column: J, row: 196, expected_value: Value, label: measure} + - {column: L, row: 197, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 198 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 198, expected_value: K02000001, label: geography} + - {column: D, row: 198, expected_value: Females, label: sex} + - {column: E, row: 198, expected_value: Total, label: employment type} + - {column: J, row: 198, expected_value: Value, label: measure} + - {column: L, row: 199, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 200 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 200, expected_value: K02000001, label: geography} + - {column: D, row: 200, expected_value: Females, label: sex} + - {column: E, row: 200, expected_value: Total, label: employment type} + - {column: J, row: 200, expected_value: Value, label: measure} + - {column: L, row: 201, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 202 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 202, expected_value: K02000001, label: geography} + - {column: D, row: 202, expected_value: Females, label: sex} + - {column: E, row: 202, expected_value: Total, label: employment type} + - {column: J, row: 202, expected_value: Value, label: measure} + - {column: L, row: 203, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 204 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 204, expected_value: K02000001, label: geography} + - {column: D, row: 204, expected_value: Females, label: sex} + - {column: E, row: 204, expected_value: Total, label: employment type} + - {column: J, row: 204, expected_value: Value, label: measure} + - {column: L, row: 205, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 206 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 206, expected_value: K02000001, label: geography} + - {column: D, row: 206, expected_value: Females, label: sex} + - {column: E, row: 206, expected_value: Total, label: employment type} + - {column: J, row: 206, expected_value: Value, label: measure} + - {column: L, row: 207, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 208 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 208, expected_value: K02000001, label: geography} + - {column: D, row: 208, expected_value: Females, label: sex} + - {column: E, row: 208, expected_value: Total, label: employment type} + - {column: J, row: 208, expected_value: Value, label: measure} + - {column: L, row: 209, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 210 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 210, expected_value: K02000001, label: geography} + - {column: D, row: 210, expected_value: Females, label: sex} + - {column: E, row: 210, expected_value: Total, label: employment type} + - {column: J, row: 210, expected_value: Value, label: measure} + - {column: L, row: 211, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 212 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 212, expected_value: K02000001, label: geography} + - {column: D, row: 212, expected_value: Females, label: sex} + - {column: E, row: 212, expected_value: Total, label: employment type} + - {column: J, row: 212, expected_value: Value, label: measure} + - {column: L, row: 213, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 214 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 214, expected_value: K02000001, label: geography} + - {column: D, row: 214, expected_value: Females, label: sex} + - {column: E, row: 214, expected_value: Total, label: employment type} + - {column: J, row: 214, expected_value: Value, label: measure} + - {column: L, row: 215, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 216 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 216, expected_value: K02000001, label: geography} + - {column: D, row: 216, expected_value: Females, label: sex} + - {column: E, row: 216, expected_value: Total, label: employment type} + - {column: J, row: 216, expected_value: Value, label: measure} + - {column: L, row: 217, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 147 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 147, expected_value: K02000001, label: geography} + - {column: D, row: 147, expected_value: Females, label: sex} + - {column: E, row: 147, expected_value: Total, label: employment type} + - {column: J, row: 147, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 149 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 149, expected_value: K02000001, label: geography} + - {column: D, row: 149, expected_value: Females, label: sex} + - {column: E, row: 149, expected_value: Total, label: employment type} + - {column: J, row: 149, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 151 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 151, expected_value: K02000001, label: geography} + - {column: D, row: 151, expected_value: Females, label: sex} + - {column: E, row: 151, expected_value: Total, label: employment type} + - {column: J, row: 151, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 153 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 153, expected_value: K02000001, label: geography} + - {column: D, row: 153, expected_value: Females, label: sex} + - {column: E, row: 153, expected_value: Total, label: employment type} + - {column: J, row: 153, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 155 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 155, expected_value: K02000001, label: geography} + - {column: D, row: 155, expected_value: Females, label: sex} + - {column: E, row: 155, expected_value: Total, label: employment type} + - {column: J, row: 155, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 157 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 157, expected_value: K02000001, label: geography} + - {column: D, row: 157, expected_value: Females, label: sex} + - {column: E, row: 157, expected_value: Total, label: employment type} + - {column: J, row: 157, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 159 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 159, expected_value: K02000001, label: geography} + - {column: D, row: 159, expected_value: Females, label: sex} + - {column: E, row: 159, expected_value: Total, label: employment type} + - {column: J, row: 159, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 161 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 161, expected_value: K02000001, label: geography} + - {column: D, row: 161, expected_value: Females, label: sex} + - {column: E, row: 161, expected_value: Total, label: employment type} + - {column: J, row: 161, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 163 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 163, expected_value: K02000001, label: geography} + - {column: D, row: 163, expected_value: Females, label: sex} + - {column: E, row: 163, expected_value: Total, label: employment type} + - {column: J, row: 163, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 165 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 165, expected_value: K02000001, label: geography} + - {column: D, row: 165, expected_value: Females, label: sex} + - {column: E, row: 165, expected_value: Total, label: employment type} + - {column: J, row: 165, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 167 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 167, expected_value: K02000001, label: geography} + - {column: D, row: 167, expected_value: Females, label: sex} + - {column: E, row: 167, expected_value: Total, label: employment type} + - {column: J, row: 167, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 169 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 169, expected_value: K02000001, label: geography} + - {column: D, row: 169, expected_value: Females, label: sex} + - {column: E, row: 169, expected_value: Total, label: employment type} + - {column: J, row: 169, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 171 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 171, expected_value: K02000001, label: geography} + - {column: D, row: 171, expected_value: Females, label: sex} + - {column: E, row: 171, expected_value: Total, label: employment type} + - {column: J, row: 171, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 173 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 173, expected_value: K02000001, label: geography} + - {column: D, row: 173, expected_value: Females, label: sex} + - {column: E, row: 173, expected_value: Total, label: employment type} + - {column: J, row: 173, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 175 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 175, expected_value: K02000001, label: geography} + - {column: D, row: 175, expected_value: Females, label: sex} + - {column: E, row: 175, expected_value: Total, label: employment type} + - {column: J, row: 175, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 177 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 177, expected_value: K02000001, label: geography} + - {column: D, row: 177, expected_value: Females, label: sex} + - {column: E, row: 177, expected_value: Total, label: employment type} + - {column: J, row: 177, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 179 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 179, expected_value: K02000001, label: geography} + - {column: D, row: 179, expected_value: Females, label: sex} + - {column: E, row: 179, expected_value: Total, label: employment type} + - {column: J, row: 179, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 181 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 181, expected_value: K02000001, label: geography} + - {column: D, row: 181, expected_value: Females, label: sex} + - {column: E, row: 181, expected_value: Total, label: employment type} + - {column: J, row: 181, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 183 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 183, expected_value: K02000001, label: geography} + - {column: D, row: 183, expected_value: Females, label: sex} + - {column: E, row: 183, expected_value: Total, label: employment type} + - {column: J, row: 183, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 185 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 185, expected_value: K02000001, label: geography} + - {column: D, row: 185, expected_value: Females, label: sex} + - {column: E, row: 185, expected_value: Total, label: employment type} + - {column: J, row: 185, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 187 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 187, expected_value: K02000001, label: geography} + - {column: D, row: 187, expected_value: Females, label: sex} + - {column: E, row: 187, expected_value: Total, label: employment type} + - {column: J, row: 187, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 189 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 189, expected_value: K02000001, label: geography} + - {column: D, row: 189, expected_value: Females, label: sex} + - {column: E, row: 189, expected_value: Total, label: employment type} + - {column: J, row: 189, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 191 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 191, expected_value: K02000001, label: geography} + - {column: D, row: 191, expected_value: Females, label: sex} + - {column: E, row: 191, expected_value: Total, label: employment type} + - {column: J, row: 191, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 193 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 193, expected_value: K02000001, label: geography} + - {column: D, row: 193, expected_value: Females, label: sex} + - {column: E, row: 193, expected_value: Total, label: employment type} + - {column: J, row: 193, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 195 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 195, expected_value: K02000001, label: geography} + - {column: D, row: 195, expected_value: Females, label: sex} + - {column: E, row: 195, expected_value: Total, label: employment type} + - {column: J, row: 195, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 197 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 197, expected_value: K02000001, label: geography} + - {column: D, row: 197, expected_value: Females, label: sex} + - {column: E, row: 197, expected_value: Total, label: employment type} + - {column: J, row: 197, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 199 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 199, expected_value: K02000001, label: geography} + - {column: D, row: 199, expected_value: Females, label: sex} + - {column: E, row: 199, expected_value: Total, label: employment type} + - {column: J, row: 199, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 201 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 201, expected_value: K02000001, label: geography} + - {column: D, row: 201, expected_value: Females, label: sex} + - {column: E, row: 201, expected_value: Total, label: employment type} + - {column: J, row: 201, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 203 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 203, expected_value: K02000001, label: geography} + - {column: D, row: 203, expected_value: Females, label: sex} + - {column: E, row: 203, expected_value: Total, label: employment type} + - {column: J, row: 203, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 205 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 205, expected_value: K02000001, label: geography} + - {column: D, row: 205, expected_value: Females, label: sex} + - {column: E, row: 205, expected_value: Total, label: employment type} + - {column: J, row: 205, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 207 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 207, expected_value: K02000001, label: geography} + - {column: D, row: 207, expected_value: Females, label: sex} + - {column: E, row: 207, expected_value: Total, label: employment type} + - {column: J, row: 207, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 209 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 209, expected_value: K02000001, label: geography} + - {column: D, row: 209, expected_value: Females, label: sex} + - {column: E, row: 209, expected_value: Total, label: employment type} + - {column: J, row: 209, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 211 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 211, expected_value: K02000001, label: geography} + - {column: D, row: 211, expected_value: Females, label: sex} + - {column: E, row: 211, expected_value: Total, label: employment type} + - {column: J, row: 211, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 213 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 213, expected_value: K02000001, label: geography} + - {column: D, row: 213, expected_value: Females, label: sex} + - {column: E, row: 213, expected_value: Total, label: employment type} + - {column: J, row: 213, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 215 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 215, expected_value: K02000001, label: geography} + - {column: D, row: 215, expected_value: Females, label: sex} + - {column: E, row: 215, expected_value: Total, label: employment type} + - {column: J, row: 215, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 217 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 217, expected_value: K02000001, label: geography} + - {column: D, row: 217, expected_value: Females, label: sex} + - {column: E, row: 217, expected_value: Total, label: employment type} + - {column: J, row: 217, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 362 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 362, expected_value: K02000001, label: geography} + - {column: D, row: 362, expected_value: Females, label: sex} + - {column: E, row: 362, expected_value: Employee, label: employment type} + - {column: J, row: 362, expected_value: Value, label: measure} + - {column: L, row: 363, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 364 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 364, expected_value: K02000001, label: geography} + - {column: D, row: 364, expected_value: Females, label: sex} + - {column: E, row: 364, expected_value: Employee, label: employment type} + - {column: J, row: 364, expected_value: Value, label: measure} + - {column: L, row: 365, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 366 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 366, expected_value: K02000001, label: geography} + - {column: D, row: 366, expected_value: Females, label: sex} + - {column: E, row: 366, expected_value: Employee, label: employment type} + - {column: J, row: 366, expected_value: Value, label: measure} + - {column: L, row: 367, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 368 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 368, expected_value: K02000001, label: geography} + - {column: D, row: 368, expected_value: Females, label: sex} + - {column: E, row: 368, expected_value: Employee, label: employment type} + - {column: J, row: 368, expected_value: Value, label: measure} + - {column: L, row: 369, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 370 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 370, expected_value: K02000001, label: geography} + - {column: D, row: 370, expected_value: Females, label: sex} + - {column: E, row: 370, expected_value: Employee, label: employment type} + - {column: J, row: 370, expected_value: Value, label: measure} + - {column: L, row: 371, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 372 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 372, expected_value: K02000001, label: geography} + - {column: D, row: 372, expected_value: Females, label: sex} + - {column: E, row: 372, expected_value: Employee, label: employment type} + - {column: J, row: 372, expected_value: Value, label: measure} + - {column: L, row: 373, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 374 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 374, expected_value: K02000001, label: geography} + - {column: D, row: 374, expected_value: Females, label: sex} + - {column: E, row: 374, expected_value: Employee, label: employment type} + - {column: J, row: 374, expected_value: Value, label: measure} + - {column: L, row: 375, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 376 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 376, expected_value: K02000001, label: geography} + - {column: D, row: 376, expected_value: Females, label: sex} + - {column: E, row: 376, expected_value: Employee, label: employment type} + - {column: J, row: 376, expected_value: Value, label: measure} + - {column: L, row: 377, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 378 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 378, expected_value: K02000001, label: geography} + - {column: D, row: 378, expected_value: Females, label: sex} + - {column: E, row: 378, expected_value: Employee, label: employment type} + - {column: J, row: 378, expected_value: Value, label: measure} + - {column: L, row: 379, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 380 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 380, expected_value: K02000001, label: geography} + - {column: D, row: 380, expected_value: Females, label: sex} + - {column: E, row: 380, expected_value: Employee, label: employment type} + - {column: J, row: 380, expected_value: Value, label: measure} + - {column: L, row: 381, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 382 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 382, expected_value: K02000001, label: geography} + - {column: D, row: 382, expected_value: Females, label: sex} + - {column: E, row: 382, expected_value: Employee, label: employment type} + - {column: J, row: 382, expected_value: Value, label: measure} + - {column: L, row: 383, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 384 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 384, expected_value: K02000001, label: geography} + - {column: D, row: 384, expected_value: Females, label: sex} + - {column: E, row: 384, expected_value: Employee, label: employment type} + - {column: J, row: 384, expected_value: Value, label: measure} + - {column: L, row: 385, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 386 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 386, expected_value: K02000001, label: geography} + - {column: D, row: 386, expected_value: Females, label: sex} + - {column: E, row: 386, expected_value: Employee, label: employment type} + - {column: J, row: 386, expected_value: Value, label: measure} + - {column: L, row: 387, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 388 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 388, expected_value: K02000001, label: geography} + - {column: D, row: 388, expected_value: Females, label: sex} + - {column: E, row: 388, expected_value: Employee, label: employment type} + - {column: J, row: 388, expected_value: Value, label: measure} + - {column: L, row: 389, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 390 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 390, expected_value: K02000001, label: geography} + - {column: D, row: 390, expected_value: Females, label: sex} + - {column: E, row: 390, expected_value: Employee, label: employment type} + - {column: J, row: 390, expected_value: Value, label: measure} + - {column: L, row: 391, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 392 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 392, expected_value: K02000001, label: geography} + - {column: D, row: 392, expected_value: Females, label: sex} + - {column: E, row: 392, expected_value: Employee, label: employment type} + - {column: J, row: 392, expected_value: Value, label: measure} + - {column: L, row: 393, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 394 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 394, expected_value: K02000001, label: geography} + - {column: D, row: 394, expected_value: Females, label: sex} + - {column: E, row: 394, expected_value: Employee, label: employment type} + - {column: J, row: 394, expected_value: Value, label: measure} + - {column: L, row: 395, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 396 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 396, expected_value: K02000001, label: geography} + - {column: D, row: 396, expected_value: Females, label: sex} + - {column: E, row: 396, expected_value: Employee, label: employment type} + - {column: J, row: 396, expected_value: Value, label: measure} + - {column: L, row: 397, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 398 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 398, expected_value: K02000001, label: geography} + - {column: D, row: 398, expected_value: Females, label: sex} + - {column: E, row: 398, expected_value: Employee, label: employment type} + - {column: J, row: 398, expected_value: Value, label: measure} + - {column: L, row: 399, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 400 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 400, expected_value: K02000001, label: geography} + - {column: D, row: 400, expected_value: Females, label: sex} + - {column: E, row: 400, expected_value: Employee, label: employment type} + - {column: J, row: 400, expected_value: Value, label: measure} + - {column: L, row: 401, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 402 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 402, expected_value: K02000001, label: geography} + - {column: D, row: 402, expected_value: Females, label: sex} + - {column: E, row: 402, expected_value: Employee, label: employment type} + - {column: J, row: 402, expected_value: Value, label: measure} + - {column: L, row: 403, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 404 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 404, expected_value: K02000001, label: geography} + - {column: D, row: 404, expected_value: Females, label: sex} + - {column: E, row: 404, expected_value: Employee, label: employment type} + - {column: J, row: 404, expected_value: Value, label: measure} + - {column: L, row: 405, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 406 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 406, expected_value: K02000001, label: geography} + - {column: D, row: 406, expected_value: Females, label: sex} + - {column: E, row: 406, expected_value: Employee, label: employment type} + - {column: J, row: 406, expected_value: Value, label: measure} + - {column: L, row: 407, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 408 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 408, expected_value: K02000001, label: geography} + - {column: D, row: 408, expected_value: Females, label: sex} + - {column: E, row: 408, expected_value: Employee, label: employment type} + - {column: J, row: 408, expected_value: Value, label: measure} + - {column: L, row: 409, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 410 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 410, expected_value: K02000001, label: geography} + - {column: D, row: 410, expected_value: Females, label: sex} + - {column: E, row: 410, expected_value: Employee, label: employment type} + - {column: J, row: 410, expected_value: Value, label: measure} + - {column: L, row: 411, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 412 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 412, expected_value: K02000001, label: geography} + - {column: D, row: 412, expected_value: Females, label: sex} + - {column: E, row: 412, expected_value: Employee, label: employment type} + - {column: J, row: 412, expected_value: Value, label: measure} + - {column: L, row: 413, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 414 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 414, expected_value: K02000001, label: geography} + - {column: D, row: 414, expected_value: Females, label: sex} + - {column: E, row: 414, expected_value: Employee, label: employment type} + - {column: J, row: 414, expected_value: Value, label: measure} + - {column: L, row: 415, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 416 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 416, expected_value: K02000001, label: geography} + - {column: D, row: 416, expected_value: Females, label: sex} + - {column: E, row: 416, expected_value: Employee, label: employment type} + - {column: J, row: 416, expected_value: Value, label: measure} + - {column: L, row: 417, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 418 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 418, expected_value: K02000001, label: geography} + - {column: D, row: 418, expected_value: Females, label: sex} + - {column: E, row: 418, expected_value: Employee, label: employment type} + - {column: J, row: 418, expected_value: Value, label: measure} + - {column: L, row: 419, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 420 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 420, expected_value: K02000001, label: geography} + - {column: D, row: 420, expected_value: Females, label: sex} + - {column: E, row: 420, expected_value: Employee, label: employment type} + - {column: J, row: 420, expected_value: Value, label: measure} + - {column: L, row: 421, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 422 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 422, expected_value: K02000001, label: geography} + - {column: D, row: 422, expected_value: Females, label: sex} + - {column: E, row: 422, expected_value: Employee, label: employment type} + - {column: J, row: 422, expected_value: Value, label: measure} + - {column: L, row: 423, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 424 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 424, expected_value: K02000001, label: geography} + - {column: D, row: 424, expected_value: Females, label: sex} + - {column: E, row: 424, expected_value: Employee, label: employment type} + - {column: J, row: 424, expected_value: Value, label: measure} + - {column: L, row: 425, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 426 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 426, expected_value: K02000001, label: geography} + - {column: D, row: 426, expected_value: Females, label: sex} + - {column: E, row: 426, expected_value: Employee, label: employment type} + - {column: J, row: 426, expected_value: Value, label: measure} + - {column: L, row: 427, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 428 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 428, expected_value: K02000001, label: geography} + - {column: D, row: 428, expected_value: Females, label: sex} + - {column: E, row: 428, expected_value: Employee, label: employment type} + - {column: J, row: 428, expected_value: Value, label: measure} + - {column: L, row: 429, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 430 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 430, expected_value: K02000001, label: geography} + - {column: D, row: 430, expected_value: Females, label: sex} + - {column: E, row: 430, expected_value: Employee, label: employment type} + - {column: J, row: 430, expected_value: Value, label: measure} + - {column: L, row: 431, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 432 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 432, expected_value: K02000001, label: geography} + - {column: D, row: 432, expected_value: Females, label: sex} + - {column: E, row: 432, expected_value: Employee, label: employment type} + - {column: J, row: 432, expected_value: Value, label: measure} + - {column: L, row: 433, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 363 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 363, expected_value: K02000001, label: geography} + - {column: D, row: 363, expected_value: Females, label: sex} + - {column: E, row: 363, expected_value: Employee, label: employment type} + - {column: J, row: 363, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 365 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 365, expected_value: K02000001, label: geography} + - {column: D, row: 365, expected_value: Females, label: sex} + - {column: E, row: 365, expected_value: Employee, label: employment type} + - {column: J, row: 365, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 367 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 367, expected_value: K02000001, label: geography} + - {column: D, row: 367, expected_value: Females, label: sex} + - {column: E, row: 367, expected_value: Employee, label: employment type} + - {column: J, row: 367, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 369 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 369, expected_value: K02000001, label: geography} + - {column: D, row: 369, expected_value: Females, label: sex} + - {column: E, row: 369, expected_value: Employee, label: employment type} + - {column: J, row: 369, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 371 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 371, expected_value: K02000001, label: geography} + - {column: D, row: 371, expected_value: Females, label: sex} + - {column: E, row: 371, expected_value: Employee, label: employment type} + - {column: J, row: 371, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 373 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 373, expected_value: K02000001, label: geography} + - {column: D, row: 373, expected_value: Females, label: sex} + - {column: E, row: 373, expected_value: Employee, label: employment type} + - {column: J, row: 373, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 375 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 375, expected_value: K02000001, label: geography} + - {column: D, row: 375, expected_value: Females, label: sex} + - {column: E, row: 375, expected_value: Employee, label: employment type} + - {column: J, row: 375, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 377 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 377, expected_value: K02000001, label: geography} + - {column: D, row: 377, expected_value: Females, label: sex} + - {column: E, row: 377, expected_value: Employee, label: employment type} + - {column: J, row: 377, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 379 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 379, expected_value: K02000001, label: geography} + - {column: D, row: 379, expected_value: Females, label: sex} + - {column: E, row: 379, expected_value: Employee, label: employment type} + - {column: J, row: 379, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 381 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 381, expected_value: K02000001, label: geography} + - {column: D, row: 381, expected_value: Females, label: sex} + - {column: E, row: 381, expected_value: Employee, label: employment type} + - {column: J, row: 381, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 383 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 383, expected_value: K02000001, label: geography} + - {column: D, row: 383, expected_value: Females, label: sex} + - {column: E, row: 383, expected_value: Employee, label: employment type} + - {column: J, row: 383, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 385 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 385, expected_value: K02000001, label: geography} + - {column: D, row: 385, expected_value: Females, label: sex} + - {column: E, row: 385, expected_value: Employee, label: employment type} + - {column: J, row: 385, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 387 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 387, expected_value: K02000001, label: geography} + - {column: D, row: 387, expected_value: Females, label: sex} + - {column: E, row: 387, expected_value: Employee, label: employment type} + - {column: J, row: 387, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 389 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 389, expected_value: K02000001, label: geography} + - {column: D, row: 389, expected_value: Females, label: sex} + - {column: E, row: 389, expected_value: Employee, label: employment type} + - {column: J, row: 389, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 391 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 391, expected_value: K02000001, label: geography} + - {column: D, row: 391, expected_value: Females, label: sex} + - {column: E, row: 391, expected_value: Employee, label: employment type} + - {column: J, row: 391, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 393 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 393, expected_value: K02000001, label: geography} + - {column: D, row: 393, expected_value: Females, label: sex} + - {column: E, row: 393, expected_value: Employee, label: employment type} + - {column: J, row: 393, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 395 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 395, expected_value: K02000001, label: geography} + - {column: D, row: 395, expected_value: Females, label: sex} + - {column: E, row: 395, expected_value: Employee, label: employment type} + - {column: J, row: 395, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 397 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 397, expected_value: K02000001, label: geography} + - {column: D, row: 397, expected_value: Females, label: sex} + - {column: E, row: 397, expected_value: Employee, label: employment type} + - {column: J, row: 397, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 399 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 399, expected_value: K02000001, label: geography} + - {column: D, row: 399, expected_value: Females, label: sex} + - {column: E, row: 399, expected_value: Employee, label: employment type} + - {column: J, row: 399, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 401 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 401, expected_value: K02000001, label: geography} + - {column: D, row: 401, expected_value: Females, label: sex} + - {column: E, row: 401, expected_value: Employee, label: employment type} + - {column: J, row: 401, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 403 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 403, expected_value: K02000001, label: geography} + - {column: D, row: 403, expected_value: Females, label: sex} + - {column: E, row: 403, expected_value: Employee, label: employment type} + - {column: J, row: 403, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 405 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 405, expected_value: K02000001, label: geography} + - {column: D, row: 405, expected_value: Females, label: sex} + - {column: E, row: 405, expected_value: Employee, label: employment type} + - {column: J, row: 405, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 407 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 407, expected_value: K02000001, label: geography} + - {column: D, row: 407, expected_value: Females, label: sex} + - {column: E, row: 407, expected_value: Employee, label: employment type} + - {column: J, row: 407, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 409 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 409, expected_value: K02000001, label: geography} + - {column: D, row: 409, expected_value: Females, label: sex} + - {column: E, row: 409, expected_value: Employee, label: employment type} + - {column: J, row: 409, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 411 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 411, expected_value: K02000001, label: geography} + - {column: D, row: 411, expected_value: Females, label: sex} + - {column: E, row: 411, expected_value: Employee, label: employment type} + - {column: J, row: 411, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 413 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 413, expected_value: K02000001, label: geography} + - {column: D, row: 413, expected_value: Females, label: sex} + - {column: E, row: 413, expected_value: Employee, label: employment type} + - {column: J, row: 413, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 415 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 415, expected_value: K02000001, label: geography} + - {column: D, row: 415, expected_value: Females, label: sex} + - {column: E, row: 415, expected_value: Employee, label: employment type} + - {column: J, row: 415, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 417 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 417, expected_value: K02000001, label: geography} + - {column: D, row: 417, expected_value: Females, label: sex} + - {column: E, row: 417, expected_value: Employee, label: employment type} + - {column: J, row: 417, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 419 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 419, expected_value: K02000001, label: geography} + - {column: D, row: 419, expected_value: Females, label: sex} + - {column: E, row: 419, expected_value: Employee, label: employment type} + - {column: J, row: 419, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 421 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 421, expected_value: K02000001, label: geography} + - {column: D, row: 421, expected_value: Females, label: sex} + - {column: E, row: 421, expected_value: Employee, label: employment type} + - {column: J, row: 421, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 423 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 423, expected_value: K02000001, label: geography} + - {column: D, row: 423, expected_value: Females, label: sex} + - {column: E, row: 423, expected_value: Employee, label: employment type} + - {column: J, row: 423, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 425 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 425, expected_value: K02000001, label: geography} + - {column: D, row: 425, expected_value: Females, label: sex} + - {column: E, row: 425, expected_value: Employee, label: employment type} + - {column: J, row: 425, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 427 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 427, expected_value: K02000001, label: geography} + - {column: D, row: 427, expected_value: Females, label: sex} + - {column: E, row: 427, expected_value: Employee, label: employment type} + - {column: J, row: 427, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 429 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 429, expected_value: K02000001, label: geography} + - {column: D, row: 429, expected_value: Females, label: sex} + - {column: E, row: 429, expected_value: Employee, label: employment type} + - {column: J, row: 429, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 431 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 431, expected_value: K02000001, label: geography} + - {column: D, row: 431, expected_value: Females, label: sex} + - {column: E, row: 431, expected_value: Employee, label: employment type} + - {column: J, row: 431, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 433 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 433, expected_value: K02000001, label: geography} + - {column: D, row: 433, expected_value: Females, label: sex} + - {column: E, row: 433, expected_value: Employee, label: employment type} + - {column: J, row: 433, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 578 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 578, expected_value: K02000001, label: geography} + - {column: D, row: 578, expected_value: Females, label: sex} + - {column: E, row: 578, expected_value: Self-employed, label: employment type} + - {column: J, row: 578, expected_value: Value, label: measure} + - {column: L, row: 579, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 580 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 580, expected_value: K02000001, label: geography} + - {column: D, row: 580, expected_value: Females, label: sex} + - {column: E, row: 580, expected_value: Self-employed, label: employment type} + - {column: J, row: 580, expected_value: Value, label: measure} + - {column: L, row: 581, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 582 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 582, expected_value: K02000001, label: geography} + - {column: D, row: 582, expected_value: Females, label: sex} + - {column: E, row: 582, expected_value: Self-employed, label: employment type} + - {column: J, row: 582, expected_value: Value, label: measure} + - {column: L, row: 583, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 584 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 584, expected_value: K02000001, label: geography} + - {column: D, row: 584, expected_value: Females, label: sex} + - {column: E, row: 584, expected_value: Self-employed, label: employment type} + - {column: J, row: 584, expected_value: Value, label: measure} + - {column: L, row: 585, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 586 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 586, expected_value: K02000001, label: geography} + - {column: D, row: 586, expected_value: Females, label: sex} + - {column: E, row: 586, expected_value: Self-employed, label: employment type} + - {column: J, row: 586, expected_value: Value, label: measure} + - {column: L, row: 587, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 588 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 588, expected_value: K02000001, label: geography} + - {column: D, row: 588, expected_value: Females, label: sex} + - {column: E, row: 588, expected_value: Self-employed, label: employment type} + - {column: J, row: 588, expected_value: Value, label: measure} + - {column: L, row: 589, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 590 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 590, expected_value: K02000001, label: geography} + - {column: D, row: 590, expected_value: Females, label: sex} + - {column: E, row: 590, expected_value: Self-employed, label: employment type} + - {column: J, row: 590, expected_value: Value, label: measure} + - {column: L, row: 591, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 592 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 592, expected_value: K02000001, label: geography} + - {column: D, row: 592, expected_value: Females, label: sex} + - {column: E, row: 592, expected_value: Self-employed, label: employment type} + - {column: J, row: 592, expected_value: Value, label: measure} + - {column: L, row: 593, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 594 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 594, expected_value: K02000001, label: geography} + - {column: D, row: 594, expected_value: Females, label: sex} + - {column: E, row: 594, expected_value: Self-employed, label: employment type} + - {column: J, row: 594, expected_value: Value, label: measure} + - {column: L, row: 595, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 596 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 596, expected_value: K02000001, label: geography} + - {column: D, row: 596, expected_value: Females, label: sex} + - {column: E, row: 596, expected_value: Self-employed, label: employment type} + - {column: J, row: 596, expected_value: Value, label: measure} + - {column: L, row: 597, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 598 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 598, expected_value: K02000001, label: geography} + - {column: D, row: 598, expected_value: Females, label: sex} + - {column: E, row: 598, expected_value: Self-employed, label: employment type} + - {column: J, row: 598, expected_value: Value, label: measure} + - {column: L, row: 599, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 600 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 600, expected_value: K02000001, label: geography} + - {column: D, row: 600, expected_value: Females, label: sex} + - {column: E, row: 600, expected_value: Self-employed, label: employment type} + - {column: J, row: 600, expected_value: Value, label: measure} + - {column: L, row: 601, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 604 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 604, expected_value: K02000001, label: geography} + - {column: D, row: 604, expected_value: Females, label: sex} + - {column: E, row: 604, expected_value: Self-employed, label: employment type} + - {column: J, row: 604, expected_value: Value, label: measure} + - {column: L, row: 605, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 606 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 606, expected_value: K02000001, label: geography} + - {column: D, row: 606, expected_value: Females, label: sex} + - {column: E, row: 606, expected_value: Self-employed, label: employment type} + - {column: J, row: 606, expected_value: Value, label: measure} + - {column: L, row: 607, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 608 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 608, expected_value: K02000001, label: geography} + - {column: D, row: 608, expected_value: Females, label: sex} + - {column: E, row: 608, expected_value: Self-employed, label: employment type} + - {column: J, row: 608, expected_value: Value, label: measure} + - {column: L, row: 609, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 610 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 610, expected_value: K02000001, label: geography} + - {column: D, row: 610, expected_value: Females, label: sex} + - {column: E, row: 610, expected_value: Self-employed, label: employment type} + - {column: J, row: 610, expected_value: Value, label: measure} + - {column: L, row: 611, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 612 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 612, expected_value: K02000001, label: geography} + - {column: D, row: 612, expected_value: Females, label: sex} + - {column: E, row: 612, expected_value: Self-employed, label: employment type} + - {column: J, row: 612, expected_value: Value, label: measure} + - {column: L, row: 613, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 614 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 614, expected_value: K02000001, label: geography} + - {column: D, row: 614, expected_value: Females, label: sex} + - {column: E, row: 614, expected_value: Self-employed, label: employment type} + - {column: J, row: 614, expected_value: Value, label: measure} + - {column: L, row: 615, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 616 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 616, expected_value: K02000001, label: geography} + - {column: D, row: 616, expected_value: Females, label: sex} + - {column: E, row: 616, expected_value: Self-employed, label: employment type} + - {column: J, row: 616, expected_value: Value, label: measure} + - {column: L, row: 617, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 618 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 618, expected_value: K02000001, label: geography} + - {column: D, row: 618, expected_value: Females, label: sex} + - {column: E, row: 618, expected_value: Self-employed, label: employment type} + - {column: J, row: 618, expected_value: Value, label: measure} + - {column: L, row: 619, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 620 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 620, expected_value: K02000001, label: geography} + - {column: D, row: 620, expected_value: Females, label: sex} + - {column: E, row: 620, expected_value: Self-employed, label: employment type} + - {column: J, row: 620, expected_value: Value, label: measure} + - {column: L, row: 621, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 622 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 622, expected_value: K02000001, label: geography} + - {column: D, row: 622, expected_value: Females, label: sex} + - {column: E, row: 622, expected_value: Self-employed, label: employment type} + - {column: J, row: 622, expected_value: Value, label: measure} + - {column: L, row: 623, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 624 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 624, expected_value: K02000001, label: geography} + - {column: D, row: 624, expected_value: Females, label: sex} + - {column: E, row: 624, expected_value: Self-employed, label: employment type} + - {column: J, row: 624, expected_value: Value, label: measure} + - {column: L, row: 625, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 626 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 626, expected_value: K02000001, label: geography} + - {column: D, row: 626, expected_value: Females, label: sex} + - {column: E, row: 626, expected_value: Self-employed, label: employment type} + - {column: J, row: 626, expected_value: Value, label: measure} + - {column: L, row: 627, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 628 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 628, expected_value: K02000001, label: geography} + - {column: D, row: 628, expected_value: Females, label: sex} + - {column: E, row: 628, expected_value: Self-employed, label: employment type} + - {column: J, row: 628, expected_value: Value, label: measure} + - {column: L, row: 629, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 632 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 632, expected_value: K02000001, label: geography} + - {column: D, row: 632, expected_value: Females, label: sex} + - {column: E, row: 632, expected_value: Self-employed, label: employment type} + - {column: J, row: 632, expected_value: Value, label: measure} + - {column: L, row: 633, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 634 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 634, expected_value: K02000001, label: geography} + - {column: D, row: 634, expected_value: Females, label: sex} + - {column: E, row: 634, expected_value: Self-employed, label: employment type} + - {column: J, row: 634, expected_value: Value, label: measure} + - {column: L, row: 635, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 636 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 636, expected_value: K02000001, label: geography} + - {column: D, row: 636, expected_value: Females, label: sex} + - {column: E, row: 636, expected_value: Self-employed, label: employment type} + - {column: J, row: 636, expected_value: Value, label: measure} + - {column: L, row: 637, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 638 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 638, expected_value: K02000001, label: geography} + - {column: D, row: 638, expected_value: Females, label: sex} + - {column: E, row: 638, expected_value: Self-employed, label: employment type} + - {column: J, row: 638, expected_value: Value, label: measure} + - {column: L, row: 639, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 640 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 640, expected_value: K02000001, label: geography} + - {column: D, row: 640, expected_value: Females, label: sex} + - {column: E, row: 640, expected_value: Self-employed, label: employment type} + - {column: J, row: 640, expected_value: Value, label: measure} + - {column: L, row: 641, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 642 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 642, expected_value: K02000001, label: geography} + - {column: D, row: 642, expected_value: Females, label: sex} + - {column: E, row: 642, expected_value: Self-employed, label: employment type} + - {column: J, row: 642, expected_value: Value, label: measure} + - {column: L, row: 643, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 644 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 644, expected_value: K02000001, label: geography} + - {column: D, row: 644, expected_value: Females, label: sex} + - {column: E, row: 644, expected_value: Self-employed, label: employment type} + - {column: J, row: 644, expected_value: Value, label: measure} + - {column: L, row: 645, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 646 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 646, expected_value: K02000001, label: geography} + - {column: D, row: 646, expected_value: Females, label: sex} + - {column: E, row: 646, expected_value: Self-employed, label: employment type} + - {column: J, row: 646, expected_value: Value, label: measure} + - {column: L, row: 647, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 648 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 648, expected_value: K02000001, label: geography} + - {column: D, row: 648, expected_value: Females, label: sex} + - {column: E, row: 648, expected_value: Self-employed, label: employment type} + - {column: J, row: 648, expected_value: Value, label: measure} + - {column: L, row: 649, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.k02000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 579 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 579, expected_value: K02000001, label: geography} + - {column: D, row: 579, expected_value: Females, label: sex} + - {column: E, row: 579, expected_value: Self-employed, label: employment type} + - {column: J, row: 579, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 581 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 581, expected_value: K02000001, label: geography} + - {column: D, row: 581, expected_value: Females, label: sex} + - {column: E, row: 581, expected_value: Self-employed, label: employment type} + - {column: J, row: 581, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 583 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 583, expected_value: K02000001, label: geography} + - {column: D, row: 583, expected_value: Females, label: sex} + - {column: E, row: 583, expected_value: Self-employed, label: employment type} + - {column: J, row: 583, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 585 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 585, expected_value: K02000001, label: geography} + - {column: D, row: 585, expected_value: Females, label: sex} + - {column: E, row: 585, expected_value: Self-employed, label: employment type} + - {column: J, row: 585, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 587 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 587, expected_value: K02000001, label: geography} + - {column: D, row: 587, expected_value: Females, label: sex} + - {column: E, row: 587, expected_value: Self-employed, label: employment type} + - {column: J, row: 587, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 589 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 589, expected_value: K02000001, label: geography} + - {column: D, row: 589, expected_value: Females, label: sex} + - {column: E, row: 589, expected_value: Self-employed, label: employment type} + - {column: J, row: 589, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 591 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 591, expected_value: K02000001, label: geography} + - {column: D, row: 591, expected_value: Females, label: sex} + - {column: E, row: 591, expected_value: Self-employed, label: employment type} + - {column: J, row: 591, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 593 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 593, expected_value: K02000001, label: geography} + - {column: D, row: 593, expected_value: Females, label: sex} + - {column: E, row: 593, expected_value: Self-employed, label: employment type} + - {column: J, row: 593, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 595 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 595, expected_value: K02000001, label: geography} + - {column: D, row: 595, expected_value: Females, label: sex} + - {column: E, row: 595, expected_value: Self-employed, label: employment type} + - {column: J, row: 595, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 597 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 597, expected_value: K02000001, label: geography} + - {column: D, row: 597, expected_value: Females, label: sex} + - {column: E, row: 597, expected_value: Self-employed, label: employment type} + - {column: J, row: 597, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 599 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 599, expected_value: K02000001, label: geography} + - {column: D, row: 599, expected_value: Females, label: sex} + - {column: E, row: 599, expected_value: Self-employed, label: employment type} + - {column: J, row: 599, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 601 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 601, expected_value: K02000001, label: geography} + - {column: D, row: 601, expected_value: Females, label: sex} + - {column: E, row: 601, expected_value: Self-employed, label: employment type} + - {column: J, row: 601, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 605 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 605, expected_value: K02000001, label: geography} + - {column: D, row: 605, expected_value: Females, label: sex} + - {column: E, row: 605, expected_value: Self-employed, label: employment type} + - {column: J, row: 605, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 607 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 607, expected_value: K02000001, label: geography} + - {column: D, row: 607, expected_value: Females, label: sex} + - {column: E, row: 607, expected_value: Self-employed, label: employment type} + - {column: J, row: 607, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 609 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 609, expected_value: K02000001, label: geography} + - {column: D, row: 609, expected_value: Females, label: sex} + - {column: E, row: 609, expected_value: Self-employed, label: employment type} + - {column: J, row: 609, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 611 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 611, expected_value: K02000001, label: geography} + - {column: D, row: 611, expected_value: Females, label: sex} + - {column: E, row: 611, expected_value: Self-employed, label: employment type} + - {column: J, row: 611, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 613 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 613, expected_value: K02000001, label: geography} + - {column: D, row: 613, expected_value: Females, label: sex} + - {column: E, row: 613, expected_value: Self-employed, label: employment type} + - {column: J, row: 613, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 615 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 615, expected_value: K02000001, label: geography} + - {column: D, row: 615, expected_value: Females, label: sex} + - {column: E, row: 615, expected_value: Self-employed, label: employment type} + - {column: J, row: 615, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 617 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 617, expected_value: K02000001, label: geography} + - {column: D, row: 617, expected_value: Females, label: sex} + - {column: E, row: 617, expected_value: Self-employed, label: employment type} + - {column: J, row: 617, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 621 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 621, expected_value: K02000001, label: geography} + - {column: D, row: 621, expected_value: Females, label: sex} + - {column: E, row: 621, expected_value: Self-employed, label: employment type} + - {column: J, row: 621, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 623 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 623, expected_value: K02000001, label: geography} + - {column: D, row: 623, expected_value: Females, label: sex} + - {column: E, row: 623, expected_value: Self-employed, label: employment type} + - {column: J, row: 623, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 625 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 625, expected_value: K02000001, label: geography} + - {column: D, row: 625, expected_value: Females, label: sex} + - {column: E, row: 625, expected_value: Self-employed, label: employment type} + - {column: J, row: 625, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 627 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 627, expected_value: K02000001, label: geography} + - {column: D, row: 627, expected_value: Females, label: sex} + - {column: E, row: 627, expected_value: Self-employed, label: employment type} + - {column: J, row: 627, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 629 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 629, expected_value: K02000001, label: geography} + - {column: D, row: 629, expected_value: Females, label: sex} + - {column: E, row: 629, expected_value: Self-employed, label: employment type} + - {column: J, row: 629, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 633 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 633, expected_value: K02000001, label: geography} + - {column: D, row: 633, expected_value: Females, label: sex} + - {column: E, row: 633, expected_value: Self-employed, label: employment type} + - {column: J, row: 633, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 635 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 635, expected_value: K02000001, label: geography} + - {column: D, row: 635, expected_value: Females, label: sex} + - {column: E, row: 635, expected_value: Self-employed, label: employment type} + - {column: J, row: 635, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 639 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 639, expected_value: K02000001, label: geography} + - {column: D, row: 639, expected_value: Females, label: sex} + - {column: E, row: 639, expected_value: Self-employed, label: employment type} + - {column: J, row: 639, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 641 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 641, expected_value: K02000001, label: geography} + - {column: D, row: 641, expected_value: Females, label: sex} + - {column: E, row: 641, expected_value: Self-employed, label: employment type} + - {column: J, row: 641, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 643 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 643, expected_value: K02000001, label: geography} + - {column: D, row: 643, expected_value: Females, label: sex} + - {column: E, row: 643, expected_value: Self-employed, label: employment type} + - {column: J, row: 643, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 645 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 645, expected_value: K02000001, label: geography} + - {column: D, row: 645, expected_value: Females, label: sex} + - {column: E, row: 645, expected_value: Self-employed, label: employment type} + - {column: J, row: 645, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 647 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 647, expected_value: K02000001, label: geography} + - {column: D, row: 647, expected_value: Females, label: sex} + - {column: E, row: 647, expected_value: Self-employed, label: employment type} + - {column: J, row: 647, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 649 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 649, expected_value: K02000001, label: geography} + - {column: D, row: 649, expected_value: Females, label: sex} + - {column: E, row: 649, expected_value: Self-employed, label: employment type} + - {column: J, row: 649, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 650 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 650, expected_value: E92000001, label: geography} + - {column: D, row: 650, expected_value: All persons, label: sex} + - {column: E, row: 650, expected_value: Total, label: employment type} + - {column: J, row: 650, expected_value: Value, label: measure} + - {column: L, row: 651, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 652 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 652, expected_value: E92000001, label: geography} + - {column: D, row: 652, expected_value: All persons, label: sex} + - {column: E, row: 652, expected_value: Total, label: employment type} + - {column: J, row: 652, expected_value: Value, label: measure} + - {column: L, row: 653, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 654 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 654, expected_value: E92000001, label: geography} + - {column: D, row: 654, expected_value: All persons, label: sex} + - {column: E, row: 654, expected_value: Total, label: employment type} + - {column: J, row: 654, expected_value: Value, label: measure} + - {column: L, row: 655, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 656 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 656, expected_value: E92000001, label: geography} + - {column: D, row: 656, expected_value: All persons, label: sex} + - {column: E, row: 656, expected_value: Total, label: employment type} + - {column: J, row: 656, expected_value: Value, label: measure} + - {column: L, row: 657, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 658 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 658, expected_value: E92000001, label: geography} + - {column: D, row: 658, expected_value: All persons, label: sex} + - {column: E, row: 658, expected_value: Total, label: employment type} + - {column: J, row: 658, expected_value: Value, label: measure} + - {column: L, row: 659, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 660 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 660, expected_value: E92000001, label: geography} + - {column: D, row: 660, expected_value: All persons, label: sex} + - {column: E, row: 660, expected_value: Total, label: employment type} + - {column: J, row: 660, expected_value: Value, label: measure} + - {column: L, row: 661, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 662 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 662, expected_value: E92000001, label: geography} + - {column: D, row: 662, expected_value: All persons, label: sex} + - {column: E, row: 662, expected_value: Total, label: employment type} + - {column: J, row: 662, expected_value: Value, label: measure} + - {column: L, row: 663, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 664 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 664, expected_value: E92000001, label: geography} + - {column: D, row: 664, expected_value: All persons, label: sex} + - {column: E, row: 664, expected_value: Total, label: employment type} + - {column: J, row: 664, expected_value: Value, label: measure} + - {column: L, row: 665, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 666 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 666, expected_value: E92000001, label: geography} + - {column: D, row: 666, expected_value: All persons, label: sex} + - {column: E, row: 666, expected_value: Total, label: employment type} + - {column: J, row: 666, expected_value: Value, label: measure} + - {column: L, row: 667, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 668 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 668, expected_value: E92000001, label: geography} + - {column: D, row: 668, expected_value: All persons, label: sex} + - {column: E, row: 668, expected_value: Total, label: employment type} + - {column: J, row: 668, expected_value: Value, label: measure} + - {column: L, row: 669, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 670 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 670, expected_value: E92000001, label: geography} + - {column: D, row: 670, expected_value: All persons, label: sex} + - {column: E, row: 670, expected_value: Total, label: employment type} + - {column: J, row: 670, expected_value: Value, label: measure} + - {column: L, row: 671, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 672 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 672, expected_value: E92000001, label: geography} + - {column: D, row: 672, expected_value: All persons, label: sex} + - {column: E, row: 672, expected_value: Total, label: employment type} + - {column: J, row: 672, expected_value: Value, label: measure} + - {column: L, row: 673, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 674 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 674, expected_value: E92000001, label: geography} + - {column: D, row: 674, expected_value: All persons, label: sex} + - {column: E, row: 674, expected_value: Total, label: employment type} + - {column: J, row: 674, expected_value: Value, label: measure} + - {column: L, row: 675, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 676 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 676, expected_value: E92000001, label: geography} + - {column: D, row: 676, expected_value: All persons, label: sex} + - {column: E, row: 676, expected_value: Total, label: employment type} + - {column: J, row: 676, expected_value: Value, label: measure} + - {column: L, row: 677, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 678 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 678, expected_value: E92000001, label: geography} + - {column: D, row: 678, expected_value: All persons, label: sex} + - {column: E, row: 678, expected_value: Total, label: employment type} + - {column: J, row: 678, expected_value: Value, label: measure} + - {column: L, row: 679, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 680 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 680, expected_value: E92000001, label: geography} + - {column: D, row: 680, expected_value: All persons, label: sex} + - {column: E, row: 680, expected_value: Total, label: employment type} + - {column: J, row: 680, expected_value: Value, label: measure} + - {column: L, row: 681, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 682 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 682, expected_value: E92000001, label: geography} + - {column: D, row: 682, expected_value: All persons, label: sex} + - {column: E, row: 682, expected_value: Total, label: employment type} + - {column: J, row: 682, expected_value: Value, label: measure} + - {column: L, row: 683, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 684 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 684, expected_value: E92000001, label: geography} + - {column: D, row: 684, expected_value: All persons, label: sex} + - {column: E, row: 684, expected_value: Total, label: employment type} + - {column: J, row: 684, expected_value: Value, label: measure} + - {column: L, row: 685, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 686 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 686, expected_value: E92000001, label: geography} + - {column: D, row: 686, expected_value: All persons, label: sex} + - {column: E, row: 686, expected_value: Total, label: employment type} + - {column: J, row: 686, expected_value: Value, label: measure} + - {column: L, row: 687, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 688 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 688, expected_value: E92000001, label: geography} + - {column: D, row: 688, expected_value: All persons, label: sex} + - {column: E, row: 688, expected_value: Total, label: employment type} + - {column: J, row: 688, expected_value: Value, label: measure} + - {column: L, row: 689, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 690 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 690, expected_value: E92000001, label: geography} + - {column: D, row: 690, expected_value: All persons, label: sex} + - {column: E, row: 690, expected_value: Total, label: employment type} + - {column: J, row: 690, expected_value: Value, label: measure} + - {column: L, row: 691, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 692 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 692, expected_value: E92000001, label: geography} + - {column: D, row: 692, expected_value: All persons, label: sex} + - {column: E, row: 692, expected_value: Total, label: employment type} + - {column: J, row: 692, expected_value: Value, label: measure} + - {column: L, row: 693, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 694 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 694, expected_value: E92000001, label: geography} + - {column: D, row: 694, expected_value: All persons, label: sex} + - {column: E, row: 694, expected_value: Total, label: employment type} + - {column: J, row: 694, expected_value: Value, label: measure} + - {column: L, row: 695, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 696 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 696, expected_value: E92000001, label: geography} + - {column: D, row: 696, expected_value: All persons, label: sex} + - {column: E, row: 696, expected_value: Total, label: employment type} + - {column: J, row: 696, expected_value: Value, label: measure} + - {column: L, row: 697, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 698 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 698, expected_value: E92000001, label: geography} + - {column: D, row: 698, expected_value: All persons, label: sex} + - {column: E, row: 698, expected_value: Total, label: employment type} + - {column: J, row: 698, expected_value: Value, label: measure} + - {column: L, row: 699, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 700 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 700, expected_value: E92000001, label: geography} + - {column: D, row: 700, expected_value: All persons, label: sex} + - {column: E, row: 700, expected_value: Total, label: employment type} + - {column: J, row: 700, expected_value: Value, label: measure} + - {column: L, row: 701, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 702 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 702, expected_value: E92000001, label: geography} + - {column: D, row: 702, expected_value: All persons, label: sex} + - {column: E, row: 702, expected_value: Total, label: employment type} + - {column: J, row: 702, expected_value: Value, label: measure} + - {column: L, row: 703, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 704 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 704, expected_value: E92000001, label: geography} + - {column: D, row: 704, expected_value: All persons, label: sex} + - {column: E, row: 704, expected_value: Total, label: employment type} + - {column: J, row: 704, expected_value: Value, label: measure} + - {column: L, row: 705, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 706 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 706, expected_value: E92000001, label: geography} + - {column: D, row: 706, expected_value: All persons, label: sex} + - {column: E, row: 706, expected_value: Total, label: employment type} + - {column: J, row: 706, expected_value: Value, label: measure} + - {column: L, row: 707, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 708 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 708, expected_value: E92000001, label: geography} + - {column: D, row: 708, expected_value: All persons, label: sex} + - {column: E, row: 708, expected_value: Total, label: employment type} + - {column: J, row: 708, expected_value: Value, label: measure} + - {column: L, row: 709, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 710 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 710, expected_value: E92000001, label: geography} + - {column: D, row: 710, expected_value: All persons, label: sex} + - {column: E, row: 710, expected_value: Total, label: employment type} + - {column: J, row: 710, expected_value: Value, label: measure} + - {column: L, row: 711, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 712 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 712, expected_value: E92000001, label: geography} + - {column: D, row: 712, expected_value: All persons, label: sex} + - {column: E, row: 712, expected_value: Total, label: employment type} + - {column: J, row: 712, expected_value: Value, label: measure} + - {column: L, row: 713, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 714 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 714, expected_value: E92000001, label: geography} + - {column: D, row: 714, expected_value: All persons, label: sex} + - {column: E, row: 714, expected_value: Total, label: employment type} + - {column: J, row: 714, expected_value: Value, label: measure} + - {column: L, row: 715, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 716 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 716, expected_value: E92000001, label: geography} + - {column: D, row: 716, expected_value: All persons, label: sex} + - {column: E, row: 716, expected_value: Total, label: employment type} + - {column: J, row: 716, expected_value: Value, label: measure} + - {column: L, row: 717, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 718 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 718, expected_value: E92000001, label: geography} + - {column: D, row: 718, expected_value: All persons, label: sex} + - {column: E, row: 718, expected_value: Total, label: employment type} + - {column: J, row: 718, expected_value: Value, label: measure} + - {column: L, row: 719, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 720 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 720, expected_value: E92000001, label: geography} + - {column: D, row: 720, expected_value: All persons, label: sex} + - {column: E, row: 720, expected_value: Total, label: employment type} + - {column: J, row: 720, expected_value: Value, label: measure} + - {column: L, row: 721, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 651 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 651, expected_value: E92000001, label: geography} + - {column: D, row: 651, expected_value: All persons, label: sex} + - {column: E, row: 651, expected_value: Total, label: employment type} + - {column: J, row: 651, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 653 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 653, expected_value: E92000001, label: geography} + - {column: D, row: 653, expected_value: All persons, label: sex} + - {column: E, row: 653, expected_value: Total, label: employment type} + - {column: J, row: 653, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 655 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 655, expected_value: E92000001, label: geography} + - {column: D, row: 655, expected_value: All persons, label: sex} + - {column: E, row: 655, expected_value: Total, label: employment type} + - {column: J, row: 655, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 657 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 657, expected_value: E92000001, label: geography} + - {column: D, row: 657, expected_value: All persons, label: sex} + - {column: E, row: 657, expected_value: Total, label: employment type} + - {column: J, row: 657, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 659 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 659, expected_value: E92000001, label: geography} + - {column: D, row: 659, expected_value: All persons, label: sex} + - {column: E, row: 659, expected_value: Total, label: employment type} + - {column: J, row: 659, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 661 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 661, expected_value: E92000001, label: geography} + - {column: D, row: 661, expected_value: All persons, label: sex} + - {column: E, row: 661, expected_value: Total, label: employment type} + - {column: J, row: 661, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 663 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 663, expected_value: E92000001, label: geography} + - {column: D, row: 663, expected_value: All persons, label: sex} + - {column: E, row: 663, expected_value: Total, label: employment type} + - {column: J, row: 663, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 665 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 665, expected_value: E92000001, label: geography} + - {column: D, row: 665, expected_value: All persons, label: sex} + - {column: E, row: 665, expected_value: Total, label: employment type} + - {column: J, row: 665, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 667 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 667, expected_value: E92000001, label: geography} + - {column: D, row: 667, expected_value: All persons, label: sex} + - {column: E, row: 667, expected_value: Total, label: employment type} + - {column: J, row: 667, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 669 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 669, expected_value: E92000001, label: geography} + - {column: D, row: 669, expected_value: All persons, label: sex} + - {column: E, row: 669, expected_value: Total, label: employment type} + - {column: J, row: 669, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 671 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 671, expected_value: E92000001, label: geography} + - {column: D, row: 671, expected_value: All persons, label: sex} + - {column: E, row: 671, expected_value: Total, label: employment type} + - {column: J, row: 671, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 673 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 673, expected_value: E92000001, label: geography} + - {column: D, row: 673, expected_value: All persons, label: sex} + - {column: E, row: 673, expected_value: Total, label: employment type} + - {column: J, row: 673, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 675 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 675, expected_value: E92000001, label: geography} + - {column: D, row: 675, expected_value: All persons, label: sex} + - {column: E, row: 675, expected_value: Total, label: employment type} + - {column: J, row: 675, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 677 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 677, expected_value: E92000001, label: geography} + - {column: D, row: 677, expected_value: All persons, label: sex} + - {column: E, row: 677, expected_value: Total, label: employment type} + - {column: J, row: 677, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 679 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 679, expected_value: E92000001, label: geography} + - {column: D, row: 679, expected_value: All persons, label: sex} + - {column: E, row: 679, expected_value: Total, label: employment type} + - {column: J, row: 679, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 681 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 681, expected_value: E92000001, label: geography} + - {column: D, row: 681, expected_value: All persons, label: sex} + - {column: E, row: 681, expected_value: Total, label: employment type} + - {column: J, row: 681, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 683 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 683, expected_value: E92000001, label: geography} + - {column: D, row: 683, expected_value: All persons, label: sex} + - {column: E, row: 683, expected_value: Total, label: employment type} + - {column: J, row: 683, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 685 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 685, expected_value: E92000001, label: geography} + - {column: D, row: 685, expected_value: All persons, label: sex} + - {column: E, row: 685, expected_value: Total, label: employment type} + - {column: J, row: 685, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 687 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 687, expected_value: E92000001, label: geography} + - {column: D, row: 687, expected_value: All persons, label: sex} + - {column: E, row: 687, expected_value: Total, label: employment type} + - {column: J, row: 687, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 689 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 689, expected_value: E92000001, label: geography} + - {column: D, row: 689, expected_value: All persons, label: sex} + - {column: E, row: 689, expected_value: Total, label: employment type} + - {column: J, row: 689, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 691 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 691, expected_value: E92000001, label: geography} + - {column: D, row: 691, expected_value: All persons, label: sex} + - {column: E, row: 691, expected_value: Total, label: employment type} + - {column: J, row: 691, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 693 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 693, expected_value: E92000001, label: geography} + - {column: D, row: 693, expected_value: All persons, label: sex} + - {column: E, row: 693, expected_value: Total, label: employment type} + - {column: J, row: 693, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 695 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 695, expected_value: E92000001, label: geography} + - {column: D, row: 695, expected_value: All persons, label: sex} + - {column: E, row: 695, expected_value: Total, label: employment type} + - {column: J, row: 695, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 697 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 697, expected_value: E92000001, label: geography} + - {column: D, row: 697, expected_value: All persons, label: sex} + - {column: E, row: 697, expected_value: Total, label: employment type} + - {column: J, row: 697, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 699 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 699, expected_value: E92000001, label: geography} + - {column: D, row: 699, expected_value: All persons, label: sex} + - {column: E, row: 699, expected_value: Total, label: employment type} + - {column: J, row: 699, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 701 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 701, expected_value: E92000001, label: geography} + - {column: D, row: 701, expected_value: All persons, label: sex} + - {column: E, row: 701, expected_value: Total, label: employment type} + - {column: J, row: 701, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 703 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 703, expected_value: E92000001, label: geography} + - {column: D, row: 703, expected_value: All persons, label: sex} + - {column: E, row: 703, expected_value: Total, label: employment type} + - {column: J, row: 703, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 705 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 705, expected_value: E92000001, label: geography} + - {column: D, row: 705, expected_value: All persons, label: sex} + - {column: E, row: 705, expected_value: Total, label: employment type} + - {column: J, row: 705, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 707 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 707, expected_value: E92000001, label: geography} + - {column: D, row: 707, expected_value: All persons, label: sex} + - {column: E, row: 707, expected_value: Total, label: employment type} + - {column: J, row: 707, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 709 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 709, expected_value: E92000001, label: geography} + - {column: D, row: 709, expected_value: All persons, label: sex} + - {column: E, row: 709, expected_value: Total, label: employment type} + - {column: J, row: 709, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 711 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 711, expected_value: E92000001, label: geography} + - {column: D, row: 711, expected_value: All persons, label: sex} + - {column: E, row: 711, expected_value: Total, label: employment type} + - {column: J, row: 711, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 713 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 713, expected_value: E92000001, label: geography} + - {column: D, row: 713, expected_value: All persons, label: sex} + - {column: E, row: 713, expected_value: Total, label: employment type} + - {column: J, row: 713, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 715 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 715, expected_value: E92000001, label: geography} + - {column: D, row: 715, expected_value: All persons, label: sex} + - {column: E, row: 715, expected_value: Total, label: employment type} + - {column: J, row: 715, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 717 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 717, expected_value: E92000001, label: geography} + - {column: D, row: 717, expected_value: All persons, label: sex} + - {column: E, row: 717, expected_value: Total, label: employment type} + - {column: J, row: 717, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 719 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 719, expected_value: E92000001, label: geography} + - {column: D, row: 719, expected_value: All persons, label: sex} + - {column: E, row: 719, expected_value: Total, label: employment type} + - {column: J, row: 719, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 721 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 721, expected_value: E92000001, label: geography} + - {column: D, row: 721, expected_value: All persons, label: sex} + - {column: E, row: 721, expected_value: Total, label: employment type} + - {column: J, row: 721, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 866 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 866, expected_value: E92000001, label: geography} + - {column: D, row: 866, expected_value: All persons, label: sex} + - {column: E, row: 866, expected_value: Employee, label: employment type} + - {column: J, row: 866, expected_value: Value, label: measure} + - {column: L, row: 867, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 868 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 868, expected_value: E92000001, label: geography} + - {column: D, row: 868, expected_value: All persons, label: sex} + - {column: E, row: 868, expected_value: Employee, label: employment type} + - {column: J, row: 868, expected_value: Value, label: measure} + - {column: L, row: 869, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 870 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 870, expected_value: E92000001, label: geography} + - {column: D, row: 870, expected_value: All persons, label: sex} + - {column: E, row: 870, expected_value: Employee, label: employment type} + - {column: J, row: 870, expected_value: Value, label: measure} + - {column: L, row: 871, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 872 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 872, expected_value: E92000001, label: geography} + - {column: D, row: 872, expected_value: All persons, label: sex} + - {column: E, row: 872, expected_value: Employee, label: employment type} + - {column: J, row: 872, expected_value: Value, label: measure} + - {column: L, row: 873, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 874 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 874, expected_value: E92000001, label: geography} + - {column: D, row: 874, expected_value: All persons, label: sex} + - {column: E, row: 874, expected_value: Employee, label: employment type} + - {column: J, row: 874, expected_value: Value, label: measure} + - {column: L, row: 875, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 876 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 876, expected_value: E92000001, label: geography} + - {column: D, row: 876, expected_value: All persons, label: sex} + - {column: E, row: 876, expected_value: Employee, label: employment type} + - {column: J, row: 876, expected_value: Value, label: measure} + - {column: L, row: 877, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 878 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 878, expected_value: E92000001, label: geography} + - {column: D, row: 878, expected_value: All persons, label: sex} + - {column: E, row: 878, expected_value: Employee, label: employment type} + - {column: J, row: 878, expected_value: Value, label: measure} + - {column: L, row: 879, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 880 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 880, expected_value: E92000001, label: geography} + - {column: D, row: 880, expected_value: All persons, label: sex} + - {column: E, row: 880, expected_value: Employee, label: employment type} + - {column: J, row: 880, expected_value: Value, label: measure} + - {column: L, row: 881, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 882 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 882, expected_value: E92000001, label: geography} + - {column: D, row: 882, expected_value: All persons, label: sex} + - {column: E, row: 882, expected_value: Employee, label: employment type} + - {column: J, row: 882, expected_value: Value, label: measure} + - {column: L, row: 883, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 884 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 884, expected_value: E92000001, label: geography} + - {column: D, row: 884, expected_value: All persons, label: sex} + - {column: E, row: 884, expected_value: Employee, label: employment type} + - {column: J, row: 884, expected_value: Value, label: measure} + - {column: L, row: 885, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 886 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 886, expected_value: E92000001, label: geography} + - {column: D, row: 886, expected_value: All persons, label: sex} + - {column: E, row: 886, expected_value: Employee, label: employment type} + - {column: J, row: 886, expected_value: Value, label: measure} + - {column: L, row: 887, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 888 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 888, expected_value: E92000001, label: geography} + - {column: D, row: 888, expected_value: All persons, label: sex} + - {column: E, row: 888, expected_value: Employee, label: employment type} + - {column: J, row: 888, expected_value: Value, label: measure} + - {column: L, row: 889, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 890 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 890, expected_value: E92000001, label: geography} + - {column: D, row: 890, expected_value: All persons, label: sex} + - {column: E, row: 890, expected_value: Employee, label: employment type} + - {column: J, row: 890, expected_value: Value, label: measure} + - {column: L, row: 891, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 892 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 892, expected_value: E92000001, label: geography} + - {column: D, row: 892, expected_value: All persons, label: sex} + - {column: E, row: 892, expected_value: Employee, label: employment type} + - {column: J, row: 892, expected_value: Value, label: measure} + - {column: L, row: 893, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 894 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 894, expected_value: E92000001, label: geography} + - {column: D, row: 894, expected_value: All persons, label: sex} + - {column: E, row: 894, expected_value: Employee, label: employment type} + - {column: J, row: 894, expected_value: Value, label: measure} + - {column: L, row: 895, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 896 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 896, expected_value: E92000001, label: geography} + - {column: D, row: 896, expected_value: All persons, label: sex} + - {column: E, row: 896, expected_value: Employee, label: employment type} + - {column: J, row: 896, expected_value: Value, label: measure} + - {column: L, row: 897, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 898 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 898, expected_value: E92000001, label: geography} + - {column: D, row: 898, expected_value: All persons, label: sex} + - {column: E, row: 898, expected_value: Employee, label: employment type} + - {column: J, row: 898, expected_value: Value, label: measure} + - {column: L, row: 899, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 900 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 900, expected_value: E92000001, label: geography} + - {column: D, row: 900, expected_value: All persons, label: sex} + - {column: E, row: 900, expected_value: Employee, label: employment type} + - {column: J, row: 900, expected_value: Value, label: measure} + - {column: L, row: 901, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 902 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 902, expected_value: E92000001, label: geography} + - {column: D, row: 902, expected_value: All persons, label: sex} + - {column: E, row: 902, expected_value: Employee, label: employment type} + - {column: J, row: 902, expected_value: Value, label: measure} + - {column: L, row: 903, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 904 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 904, expected_value: E92000001, label: geography} + - {column: D, row: 904, expected_value: All persons, label: sex} + - {column: E, row: 904, expected_value: Employee, label: employment type} + - {column: J, row: 904, expected_value: Value, label: measure} + - {column: L, row: 905, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 906 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 906, expected_value: E92000001, label: geography} + - {column: D, row: 906, expected_value: All persons, label: sex} + - {column: E, row: 906, expected_value: Employee, label: employment type} + - {column: J, row: 906, expected_value: Value, label: measure} + - {column: L, row: 907, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 908 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 908, expected_value: E92000001, label: geography} + - {column: D, row: 908, expected_value: All persons, label: sex} + - {column: E, row: 908, expected_value: Employee, label: employment type} + - {column: J, row: 908, expected_value: Value, label: measure} + - {column: L, row: 909, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 910 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 910, expected_value: E92000001, label: geography} + - {column: D, row: 910, expected_value: All persons, label: sex} + - {column: E, row: 910, expected_value: Employee, label: employment type} + - {column: J, row: 910, expected_value: Value, label: measure} + - {column: L, row: 911, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 912 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 912, expected_value: E92000001, label: geography} + - {column: D, row: 912, expected_value: All persons, label: sex} + - {column: E, row: 912, expected_value: Employee, label: employment type} + - {column: J, row: 912, expected_value: Value, label: measure} + - {column: L, row: 913, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 914 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 914, expected_value: E92000001, label: geography} + - {column: D, row: 914, expected_value: All persons, label: sex} + - {column: E, row: 914, expected_value: Employee, label: employment type} + - {column: J, row: 914, expected_value: Value, label: measure} + - {column: L, row: 915, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 916 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 916, expected_value: E92000001, label: geography} + - {column: D, row: 916, expected_value: All persons, label: sex} + - {column: E, row: 916, expected_value: Employee, label: employment type} + - {column: J, row: 916, expected_value: Value, label: measure} + - {column: L, row: 917, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 918 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 918, expected_value: E92000001, label: geography} + - {column: D, row: 918, expected_value: All persons, label: sex} + - {column: E, row: 918, expected_value: Employee, label: employment type} + - {column: J, row: 918, expected_value: Value, label: measure} + - {column: L, row: 919, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 920 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 920, expected_value: E92000001, label: geography} + - {column: D, row: 920, expected_value: All persons, label: sex} + - {column: E, row: 920, expected_value: Employee, label: employment type} + - {column: J, row: 920, expected_value: Value, label: measure} + - {column: L, row: 921, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 922 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 922, expected_value: E92000001, label: geography} + - {column: D, row: 922, expected_value: All persons, label: sex} + - {column: E, row: 922, expected_value: Employee, label: employment type} + - {column: J, row: 922, expected_value: Value, label: measure} + - {column: L, row: 923, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 924 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 924, expected_value: E92000001, label: geography} + - {column: D, row: 924, expected_value: All persons, label: sex} + - {column: E, row: 924, expected_value: Employee, label: employment type} + - {column: J, row: 924, expected_value: Value, label: measure} + - {column: L, row: 925, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 926 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 926, expected_value: E92000001, label: geography} + - {column: D, row: 926, expected_value: All persons, label: sex} + - {column: E, row: 926, expected_value: Employee, label: employment type} + - {column: J, row: 926, expected_value: Value, label: measure} + - {column: L, row: 927, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 928 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 928, expected_value: E92000001, label: geography} + - {column: D, row: 928, expected_value: All persons, label: sex} + - {column: E, row: 928, expected_value: Employee, label: employment type} + - {column: J, row: 928, expected_value: Value, label: measure} + - {column: L, row: 929, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 930 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 930, expected_value: E92000001, label: geography} + - {column: D, row: 930, expected_value: All persons, label: sex} + - {column: E, row: 930, expected_value: Employee, label: employment type} + - {column: J, row: 930, expected_value: Value, label: measure} + - {column: L, row: 931, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 932 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 932, expected_value: E92000001, label: geography} + - {column: D, row: 932, expected_value: All persons, label: sex} + - {column: E, row: 932, expected_value: Employee, label: employment type} + - {column: J, row: 932, expected_value: Value, label: measure} + - {column: L, row: 933, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 934 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 934, expected_value: E92000001, label: geography} + - {column: D, row: 934, expected_value: All persons, label: sex} + - {column: E, row: 934, expected_value: Employee, label: employment type} + - {column: J, row: 934, expected_value: Value, label: measure} + - {column: L, row: 935, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 936 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 936, expected_value: E92000001, label: geography} + - {column: D, row: 936, expected_value: All persons, label: sex} + - {column: E, row: 936, expected_value: Employee, label: employment type} + - {column: J, row: 936, expected_value: Value, label: measure} + - {column: L, row: 937, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 867 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 867, expected_value: E92000001, label: geography} + - {column: D, row: 867, expected_value: All persons, label: sex} + - {column: E, row: 867, expected_value: Employee, label: employment type} + - {column: J, row: 867, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 869 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 869, expected_value: E92000001, label: geography} + - {column: D, row: 869, expected_value: All persons, label: sex} + - {column: E, row: 869, expected_value: Employee, label: employment type} + - {column: J, row: 869, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 871 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 871, expected_value: E92000001, label: geography} + - {column: D, row: 871, expected_value: All persons, label: sex} + - {column: E, row: 871, expected_value: Employee, label: employment type} + - {column: J, row: 871, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 873 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 873, expected_value: E92000001, label: geography} + - {column: D, row: 873, expected_value: All persons, label: sex} + - {column: E, row: 873, expected_value: Employee, label: employment type} + - {column: J, row: 873, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 875 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 875, expected_value: E92000001, label: geography} + - {column: D, row: 875, expected_value: All persons, label: sex} + - {column: E, row: 875, expected_value: Employee, label: employment type} + - {column: J, row: 875, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 877 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 877, expected_value: E92000001, label: geography} + - {column: D, row: 877, expected_value: All persons, label: sex} + - {column: E, row: 877, expected_value: Employee, label: employment type} + - {column: J, row: 877, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 879 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 879, expected_value: E92000001, label: geography} + - {column: D, row: 879, expected_value: All persons, label: sex} + - {column: E, row: 879, expected_value: Employee, label: employment type} + - {column: J, row: 879, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 881 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 881, expected_value: E92000001, label: geography} + - {column: D, row: 881, expected_value: All persons, label: sex} + - {column: E, row: 881, expected_value: Employee, label: employment type} + - {column: J, row: 881, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 883 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 883, expected_value: E92000001, label: geography} + - {column: D, row: 883, expected_value: All persons, label: sex} + - {column: E, row: 883, expected_value: Employee, label: employment type} + - {column: J, row: 883, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 885 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 885, expected_value: E92000001, label: geography} + - {column: D, row: 885, expected_value: All persons, label: sex} + - {column: E, row: 885, expected_value: Employee, label: employment type} + - {column: J, row: 885, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 887 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 887, expected_value: E92000001, label: geography} + - {column: D, row: 887, expected_value: All persons, label: sex} + - {column: E, row: 887, expected_value: Employee, label: employment type} + - {column: J, row: 887, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 889 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 889, expected_value: E92000001, label: geography} + - {column: D, row: 889, expected_value: All persons, label: sex} + - {column: E, row: 889, expected_value: Employee, label: employment type} + - {column: J, row: 889, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 891 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 891, expected_value: E92000001, label: geography} + - {column: D, row: 891, expected_value: All persons, label: sex} + - {column: E, row: 891, expected_value: Employee, label: employment type} + - {column: J, row: 891, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 893 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 893, expected_value: E92000001, label: geography} + - {column: D, row: 893, expected_value: All persons, label: sex} + - {column: E, row: 893, expected_value: Employee, label: employment type} + - {column: J, row: 893, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 895 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 895, expected_value: E92000001, label: geography} + - {column: D, row: 895, expected_value: All persons, label: sex} + - {column: E, row: 895, expected_value: Employee, label: employment type} + - {column: J, row: 895, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 897 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 897, expected_value: E92000001, label: geography} + - {column: D, row: 897, expected_value: All persons, label: sex} + - {column: E, row: 897, expected_value: Employee, label: employment type} + - {column: J, row: 897, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 899 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 899, expected_value: E92000001, label: geography} + - {column: D, row: 899, expected_value: All persons, label: sex} + - {column: E, row: 899, expected_value: Employee, label: employment type} + - {column: J, row: 899, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 901 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 901, expected_value: E92000001, label: geography} + - {column: D, row: 901, expected_value: All persons, label: sex} + - {column: E, row: 901, expected_value: Employee, label: employment type} + - {column: J, row: 901, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 903 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 903, expected_value: E92000001, label: geography} + - {column: D, row: 903, expected_value: All persons, label: sex} + - {column: E, row: 903, expected_value: Employee, label: employment type} + - {column: J, row: 903, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 905 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 905, expected_value: E92000001, label: geography} + - {column: D, row: 905, expected_value: All persons, label: sex} + - {column: E, row: 905, expected_value: Employee, label: employment type} + - {column: J, row: 905, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 907 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 907, expected_value: E92000001, label: geography} + - {column: D, row: 907, expected_value: All persons, label: sex} + - {column: E, row: 907, expected_value: Employee, label: employment type} + - {column: J, row: 907, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 909 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 909, expected_value: E92000001, label: geography} + - {column: D, row: 909, expected_value: All persons, label: sex} + - {column: E, row: 909, expected_value: Employee, label: employment type} + - {column: J, row: 909, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 911 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 911, expected_value: E92000001, label: geography} + - {column: D, row: 911, expected_value: All persons, label: sex} + - {column: E, row: 911, expected_value: Employee, label: employment type} + - {column: J, row: 911, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 913 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 913, expected_value: E92000001, label: geography} + - {column: D, row: 913, expected_value: All persons, label: sex} + - {column: E, row: 913, expected_value: Employee, label: employment type} + - {column: J, row: 913, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 915 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 915, expected_value: E92000001, label: geography} + - {column: D, row: 915, expected_value: All persons, label: sex} + - {column: E, row: 915, expected_value: Employee, label: employment type} + - {column: J, row: 915, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 917 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 917, expected_value: E92000001, label: geography} + - {column: D, row: 917, expected_value: All persons, label: sex} + - {column: E, row: 917, expected_value: Employee, label: employment type} + - {column: J, row: 917, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 919 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 919, expected_value: E92000001, label: geography} + - {column: D, row: 919, expected_value: All persons, label: sex} + - {column: E, row: 919, expected_value: Employee, label: employment type} + - {column: J, row: 919, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 921 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 921, expected_value: E92000001, label: geography} + - {column: D, row: 921, expected_value: All persons, label: sex} + - {column: E, row: 921, expected_value: Employee, label: employment type} + - {column: J, row: 921, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 923 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 923, expected_value: E92000001, label: geography} + - {column: D, row: 923, expected_value: All persons, label: sex} + - {column: E, row: 923, expected_value: Employee, label: employment type} + - {column: J, row: 923, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 925 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 925, expected_value: E92000001, label: geography} + - {column: D, row: 925, expected_value: All persons, label: sex} + - {column: E, row: 925, expected_value: Employee, label: employment type} + - {column: J, row: 925, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 927 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 927, expected_value: E92000001, label: geography} + - {column: D, row: 927, expected_value: All persons, label: sex} + - {column: E, row: 927, expected_value: Employee, label: employment type} + - {column: J, row: 927, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 929 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 929, expected_value: E92000001, label: geography} + - {column: D, row: 929, expected_value: All persons, label: sex} + - {column: E, row: 929, expected_value: Employee, label: employment type} + - {column: J, row: 929, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 931 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 931, expected_value: E92000001, label: geography} + - {column: D, row: 931, expected_value: All persons, label: sex} + - {column: E, row: 931, expected_value: Employee, label: employment type} + - {column: J, row: 931, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 933 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 933, expected_value: E92000001, label: geography} + - {column: D, row: 933, expected_value: All persons, label: sex} + - {column: E, row: 933, expected_value: Employee, label: employment type} + - {column: J, row: 933, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 935 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 935, expected_value: E92000001, label: geography} + - {column: D, row: 935, expected_value: All persons, label: sex} + - {column: E, row: 935, expected_value: Employee, label: employment type} + - {column: J, row: 935, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 937 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 937, expected_value: E92000001, label: geography} + - {column: D, row: 937, expected_value: All persons, label: sex} + - {column: E, row: 937, expected_value: Employee, label: employment type} + - {column: J, row: 937, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1082 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1082, expected_value: E92000001, label: geography} + - {column: D, row: 1082, expected_value: All persons, label: sex} + - {column: E, row: 1082, expected_value: Self-employed, label: employment type} + - {column: J, row: 1082, expected_value: Value, label: measure} + - {column: L, row: 1083, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1084 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1084, expected_value: E92000001, label: geography} + - {column: D, row: 1084, expected_value: All persons, label: sex} + - {column: E, row: 1084, expected_value: Self-employed, label: employment type} + - {column: J, row: 1084, expected_value: Value, label: measure} + - {column: L, row: 1085, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1086 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1086, expected_value: E92000001, label: geography} + - {column: D, row: 1086, expected_value: All persons, label: sex} + - {column: E, row: 1086, expected_value: Self-employed, label: employment type} + - {column: J, row: 1086, expected_value: Value, label: measure} + - {column: L, row: 1087, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1088 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1088, expected_value: E92000001, label: geography} + - {column: D, row: 1088, expected_value: All persons, label: sex} + - {column: E, row: 1088, expected_value: Self-employed, label: employment type} + - {column: J, row: 1088, expected_value: Value, label: measure} + - {column: L, row: 1089, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1090 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1090, expected_value: E92000001, label: geography} + - {column: D, row: 1090, expected_value: All persons, label: sex} + - {column: E, row: 1090, expected_value: Self-employed, label: employment type} + - {column: J, row: 1090, expected_value: Value, label: measure} + - {column: L, row: 1091, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1092 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1092, expected_value: E92000001, label: geography} + - {column: D, row: 1092, expected_value: All persons, label: sex} + - {column: E, row: 1092, expected_value: Self-employed, label: employment type} + - {column: J, row: 1092, expected_value: Value, label: measure} + - {column: L, row: 1093, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1094 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1094, expected_value: E92000001, label: geography} + - {column: D, row: 1094, expected_value: All persons, label: sex} + - {column: E, row: 1094, expected_value: Self-employed, label: employment type} + - {column: J, row: 1094, expected_value: Value, label: measure} + - {column: L, row: 1095, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1096 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1096, expected_value: E92000001, label: geography} + - {column: D, row: 1096, expected_value: All persons, label: sex} + - {column: E, row: 1096, expected_value: Self-employed, label: employment type} + - {column: J, row: 1096, expected_value: Value, label: measure} + - {column: L, row: 1097, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1098 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1098, expected_value: E92000001, label: geography} + - {column: D, row: 1098, expected_value: All persons, label: sex} + - {column: E, row: 1098, expected_value: Self-employed, label: employment type} + - {column: J, row: 1098, expected_value: Value, label: measure} + - {column: L, row: 1099, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1100 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1100, expected_value: E92000001, label: geography} + - {column: D, row: 1100, expected_value: All persons, label: sex} + - {column: E, row: 1100, expected_value: Self-employed, label: employment type} + - {column: J, row: 1100, expected_value: Value, label: measure} + - {column: L, row: 1101, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1102 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1102, expected_value: E92000001, label: geography} + - {column: D, row: 1102, expected_value: All persons, label: sex} + - {column: E, row: 1102, expected_value: Self-employed, label: employment type} + - {column: J, row: 1102, expected_value: Value, label: measure} + - {column: L, row: 1103, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1104 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1104, expected_value: E92000001, label: geography} + - {column: D, row: 1104, expected_value: All persons, label: sex} + - {column: E, row: 1104, expected_value: Self-employed, label: employment type} + - {column: J, row: 1104, expected_value: Value, label: measure} + - {column: L, row: 1105, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1106 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1106, expected_value: E92000001, label: geography} + - {column: D, row: 1106, expected_value: All persons, label: sex} + - {column: E, row: 1106, expected_value: Self-employed, label: employment type} + - {column: J, row: 1106, expected_value: Value, label: measure} + - {column: L, row: 1107, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1108 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1108, expected_value: E92000001, label: geography} + - {column: D, row: 1108, expected_value: All persons, label: sex} + - {column: E, row: 1108, expected_value: Self-employed, label: employment type} + - {column: J, row: 1108, expected_value: Value, label: measure} + - {column: L, row: 1109, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1110 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1110, expected_value: E92000001, label: geography} + - {column: D, row: 1110, expected_value: All persons, label: sex} + - {column: E, row: 1110, expected_value: Self-employed, label: employment type} + - {column: J, row: 1110, expected_value: Value, label: measure} + - {column: L, row: 1111, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1112 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1112, expected_value: E92000001, label: geography} + - {column: D, row: 1112, expected_value: All persons, label: sex} + - {column: E, row: 1112, expected_value: Self-employed, label: employment type} + - {column: J, row: 1112, expected_value: Value, label: measure} + - {column: L, row: 1113, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1114 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1114, expected_value: E92000001, label: geography} + - {column: D, row: 1114, expected_value: All persons, label: sex} + - {column: E, row: 1114, expected_value: Self-employed, label: employment type} + - {column: J, row: 1114, expected_value: Value, label: measure} + - {column: L, row: 1115, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1116 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1116, expected_value: E92000001, label: geography} + - {column: D, row: 1116, expected_value: All persons, label: sex} + - {column: E, row: 1116, expected_value: Self-employed, label: employment type} + - {column: J, row: 1116, expected_value: Value, label: measure} + - {column: L, row: 1117, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1118 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1118, expected_value: E92000001, label: geography} + - {column: D, row: 1118, expected_value: All persons, label: sex} + - {column: E, row: 1118, expected_value: Self-employed, label: employment type} + - {column: J, row: 1118, expected_value: Value, label: measure} + - {column: L, row: 1119, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1120 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1120, expected_value: E92000001, label: geography} + - {column: D, row: 1120, expected_value: All persons, label: sex} + - {column: E, row: 1120, expected_value: Self-employed, label: employment type} + - {column: J, row: 1120, expected_value: Value, label: measure} + - {column: L, row: 1121, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1122 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1122, expected_value: E92000001, label: geography} + - {column: D, row: 1122, expected_value: All persons, label: sex} + - {column: E, row: 1122, expected_value: Self-employed, label: employment type} + - {column: J, row: 1122, expected_value: Value, label: measure} + - {column: L, row: 1123, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1124 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1124, expected_value: E92000001, label: geography} + - {column: D, row: 1124, expected_value: All persons, label: sex} + - {column: E, row: 1124, expected_value: Self-employed, label: employment type} + - {column: J, row: 1124, expected_value: Value, label: measure} + - {column: L, row: 1125, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1126 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1126, expected_value: E92000001, label: geography} + - {column: D, row: 1126, expected_value: All persons, label: sex} + - {column: E, row: 1126, expected_value: Self-employed, label: employment type} + - {column: J, row: 1126, expected_value: Value, label: measure} + - {column: L, row: 1127, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1128 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1128, expected_value: E92000001, label: geography} + - {column: D, row: 1128, expected_value: All persons, label: sex} + - {column: E, row: 1128, expected_value: Self-employed, label: employment type} + - {column: J, row: 1128, expected_value: Value, label: measure} + - {column: L, row: 1129, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1130 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1130, expected_value: E92000001, label: geography} + - {column: D, row: 1130, expected_value: All persons, label: sex} + - {column: E, row: 1130, expected_value: Self-employed, label: employment type} + - {column: J, row: 1130, expected_value: Value, label: measure} + - {column: L, row: 1131, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1132 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1132, expected_value: E92000001, label: geography} + - {column: D, row: 1132, expected_value: All persons, label: sex} + - {column: E, row: 1132, expected_value: Self-employed, label: employment type} + - {column: J, row: 1132, expected_value: Value, label: measure} + - {column: L, row: 1133, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1136 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1136, expected_value: E92000001, label: geography} + - {column: D, row: 1136, expected_value: All persons, label: sex} + - {column: E, row: 1136, expected_value: Self-employed, label: employment type} + - {column: J, row: 1136, expected_value: Value, label: measure} + - {column: L, row: 1137, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1138 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1138, expected_value: E92000001, label: geography} + - {column: D, row: 1138, expected_value: All persons, label: sex} + - {column: E, row: 1138, expected_value: Self-employed, label: employment type} + - {column: J, row: 1138, expected_value: Value, label: measure} + - {column: L, row: 1139, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1140 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1140, expected_value: E92000001, label: geography} + - {column: D, row: 1140, expected_value: All persons, label: sex} + - {column: E, row: 1140, expected_value: Self-employed, label: employment type} + - {column: J, row: 1140, expected_value: Value, label: measure} + - {column: L, row: 1141, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1142 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1142, expected_value: E92000001, label: geography} + - {column: D, row: 1142, expected_value: All persons, label: sex} + - {column: E, row: 1142, expected_value: Self-employed, label: employment type} + - {column: J, row: 1142, expected_value: Value, label: measure} + - {column: L, row: 1143, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1144 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1144, expected_value: E92000001, label: geography} + - {column: D, row: 1144, expected_value: All persons, label: sex} + - {column: E, row: 1144, expected_value: Self-employed, label: employment type} + - {column: J, row: 1144, expected_value: Value, label: measure} + - {column: L, row: 1145, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1146 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1146, expected_value: E92000001, label: geography} + - {column: D, row: 1146, expected_value: All persons, label: sex} + - {column: E, row: 1146, expected_value: Self-employed, label: employment type} + - {column: J, row: 1146, expected_value: Value, label: measure} + - {column: L, row: 1147, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1148 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1148, expected_value: E92000001, label: geography} + - {column: D, row: 1148, expected_value: All persons, label: sex} + - {column: E, row: 1148, expected_value: Self-employed, label: employment type} + - {column: J, row: 1148, expected_value: Value, label: measure} + - {column: L, row: 1149, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1150 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1150, expected_value: E92000001, label: geography} + - {column: D, row: 1150, expected_value: All persons, label: sex} + - {column: E, row: 1150, expected_value: Self-employed, label: employment type} + - {column: J, row: 1150, expected_value: Value, label: measure} + - {column: L, row: 1151, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1152 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1152, expected_value: E92000001, label: geography} + - {column: D, row: 1152, expected_value: All persons, label: sex} + - {column: E, row: 1152, expected_value: Self-employed, label: employment type} + - {column: J, row: 1152, expected_value: Value, label: measure} + - {column: L, row: 1153, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1083 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1083, expected_value: E92000001, label: geography} + - {column: D, row: 1083, expected_value: All persons, label: sex} + - {column: E, row: 1083, expected_value: Self-employed, label: employment type} + - {column: J, row: 1083, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1085 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1085, expected_value: E92000001, label: geography} + - {column: D, row: 1085, expected_value: All persons, label: sex} + - {column: E, row: 1085, expected_value: Self-employed, label: employment type} + - {column: J, row: 1085, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1087 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1087, expected_value: E92000001, label: geography} + - {column: D, row: 1087, expected_value: All persons, label: sex} + - {column: E, row: 1087, expected_value: Self-employed, label: employment type} + - {column: J, row: 1087, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1089 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1089, expected_value: E92000001, label: geography} + - {column: D, row: 1089, expected_value: All persons, label: sex} + - {column: E, row: 1089, expected_value: Self-employed, label: employment type} + - {column: J, row: 1089, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1091 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1091, expected_value: E92000001, label: geography} + - {column: D, row: 1091, expected_value: All persons, label: sex} + - {column: E, row: 1091, expected_value: Self-employed, label: employment type} + - {column: J, row: 1091, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1093 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1093, expected_value: E92000001, label: geography} + - {column: D, row: 1093, expected_value: All persons, label: sex} + - {column: E, row: 1093, expected_value: Self-employed, label: employment type} + - {column: J, row: 1093, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1095 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1095, expected_value: E92000001, label: geography} + - {column: D, row: 1095, expected_value: All persons, label: sex} + - {column: E, row: 1095, expected_value: Self-employed, label: employment type} + - {column: J, row: 1095, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1097 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1097, expected_value: E92000001, label: geography} + - {column: D, row: 1097, expected_value: All persons, label: sex} + - {column: E, row: 1097, expected_value: Self-employed, label: employment type} + - {column: J, row: 1097, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1099 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1099, expected_value: E92000001, label: geography} + - {column: D, row: 1099, expected_value: All persons, label: sex} + - {column: E, row: 1099, expected_value: Self-employed, label: employment type} + - {column: J, row: 1099, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1101 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1101, expected_value: E92000001, label: geography} + - {column: D, row: 1101, expected_value: All persons, label: sex} + - {column: E, row: 1101, expected_value: Self-employed, label: employment type} + - {column: J, row: 1101, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1103 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1103, expected_value: E92000001, label: geography} + - {column: D, row: 1103, expected_value: All persons, label: sex} + - {column: E, row: 1103, expected_value: Self-employed, label: employment type} + - {column: J, row: 1103, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1105 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1105, expected_value: E92000001, label: geography} + - {column: D, row: 1105, expected_value: All persons, label: sex} + - {column: E, row: 1105, expected_value: Self-employed, label: employment type} + - {column: J, row: 1105, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1107 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1107, expected_value: E92000001, label: geography} + - {column: D, row: 1107, expected_value: All persons, label: sex} + - {column: E, row: 1107, expected_value: Self-employed, label: employment type} + - {column: J, row: 1107, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1109 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1109, expected_value: E92000001, label: geography} + - {column: D, row: 1109, expected_value: All persons, label: sex} + - {column: E, row: 1109, expected_value: Self-employed, label: employment type} + - {column: J, row: 1109, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1111 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1111, expected_value: E92000001, label: geography} + - {column: D, row: 1111, expected_value: All persons, label: sex} + - {column: E, row: 1111, expected_value: Self-employed, label: employment type} + - {column: J, row: 1111, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1113 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1113, expected_value: E92000001, label: geography} + - {column: D, row: 1113, expected_value: All persons, label: sex} + - {column: E, row: 1113, expected_value: Self-employed, label: employment type} + - {column: J, row: 1113, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1115 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1115, expected_value: E92000001, label: geography} + - {column: D, row: 1115, expected_value: All persons, label: sex} + - {column: E, row: 1115, expected_value: Self-employed, label: employment type} + - {column: J, row: 1115, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1117 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1117, expected_value: E92000001, label: geography} + - {column: D, row: 1117, expected_value: All persons, label: sex} + - {column: E, row: 1117, expected_value: Self-employed, label: employment type} + - {column: J, row: 1117, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1119 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1119, expected_value: E92000001, label: geography} + - {column: D, row: 1119, expected_value: All persons, label: sex} + - {column: E, row: 1119, expected_value: Self-employed, label: employment type} + - {column: J, row: 1119, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1121 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1121, expected_value: E92000001, label: geography} + - {column: D, row: 1121, expected_value: All persons, label: sex} + - {column: E, row: 1121, expected_value: Self-employed, label: employment type} + - {column: J, row: 1121, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1123 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1123, expected_value: E92000001, label: geography} + - {column: D, row: 1123, expected_value: All persons, label: sex} + - {column: E, row: 1123, expected_value: Self-employed, label: employment type} + - {column: J, row: 1123, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1125 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1125, expected_value: E92000001, label: geography} + - {column: D, row: 1125, expected_value: All persons, label: sex} + - {column: E, row: 1125, expected_value: Self-employed, label: employment type} + - {column: J, row: 1125, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1127 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1127, expected_value: E92000001, label: geography} + - {column: D, row: 1127, expected_value: All persons, label: sex} + - {column: E, row: 1127, expected_value: Self-employed, label: employment type} + - {column: J, row: 1127, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1129 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1129, expected_value: E92000001, label: geography} + - {column: D, row: 1129, expected_value: All persons, label: sex} + - {column: E, row: 1129, expected_value: Self-employed, label: employment type} + - {column: J, row: 1129, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1131 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1131, expected_value: E92000001, label: geography} + - {column: D, row: 1131, expected_value: All persons, label: sex} + - {column: E, row: 1131, expected_value: Self-employed, label: employment type} + - {column: J, row: 1131, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1133 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1133, expected_value: E92000001, label: geography} + - {column: D, row: 1133, expected_value: All persons, label: sex} + - {column: E, row: 1133, expected_value: Self-employed, label: employment type} + - {column: J, row: 1133, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1137 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1137, expected_value: E92000001, label: geography} + - {column: D, row: 1137, expected_value: All persons, label: sex} + - {column: E, row: 1137, expected_value: Self-employed, label: employment type} + - {column: J, row: 1137, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1139 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1139, expected_value: E92000001, label: geography} + - {column: D, row: 1139, expected_value: All persons, label: sex} + - {column: E, row: 1139, expected_value: Self-employed, label: employment type} + - {column: J, row: 1139, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1141 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1141, expected_value: E92000001, label: geography} + - {column: D, row: 1141, expected_value: All persons, label: sex} + - {column: E, row: 1141, expected_value: Self-employed, label: employment type} + - {column: J, row: 1141, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1143 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1143, expected_value: E92000001, label: geography} + - {column: D, row: 1143, expected_value: All persons, label: sex} + - {column: E, row: 1143, expected_value: Self-employed, label: employment type} + - {column: J, row: 1143, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1145 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1145, expected_value: E92000001, label: geography} + - {column: D, row: 1145, expected_value: All persons, label: sex} + - {column: E, row: 1145, expected_value: Self-employed, label: employment type} + - {column: J, row: 1145, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1147 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1147, expected_value: E92000001, label: geography} + - {column: D, row: 1147, expected_value: All persons, label: sex} + - {column: E, row: 1147, expected_value: Self-employed, label: employment type} + - {column: J, row: 1147, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1149 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1149, expected_value: E92000001, label: geography} + - {column: D, row: 1149, expected_value: All persons, label: sex} + - {column: E, row: 1149, expected_value: Self-employed, label: employment type} + - {column: J, row: 1149, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1151 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1151, expected_value: E92000001, label: geography} + - {column: D, row: 1151, expected_value: All persons, label: sex} + - {column: E, row: 1151, expected_value: Self-employed, label: employment type} + - {column: J, row: 1151, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1153 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1153, expected_value: E92000001, label: geography} + - {column: D, row: 1153, expected_value: All persons, label: sex} + - {column: E, row: 1153, expected_value: Self-employed, label: employment type} + - {column: J, row: 1153, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 722 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 722, expected_value: E92000001, label: geography} + - {column: D, row: 722, expected_value: Males, label: sex} + - {column: E, row: 722, expected_value: Total, label: employment type} + - {column: J, row: 722, expected_value: Value, label: measure} + - {column: L, row: 723, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 724 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 724, expected_value: E92000001, label: geography} + - {column: D, row: 724, expected_value: Males, label: sex} + - {column: E, row: 724, expected_value: Total, label: employment type} + - {column: J, row: 724, expected_value: Value, label: measure} + - {column: L, row: 725, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 726 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 726, expected_value: E92000001, label: geography} + - {column: D, row: 726, expected_value: Males, label: sex} + - {column: E, row: 726, expected_value: Total, label: employment type} + - {column: J, row: 726, expected_value: Value, label: measure} + - {column: L, row: 727, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 728 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 728, expected_value: E92000001, label: geography} + - {column: D, row: 728, expected_value: Males, label: sex} + - {column: E, row: 728, expected_value: Total, label: employment type} + - {column: J, row: 728, expected_value: Value, label: measure} + - {column: L, row: 729, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 730 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 730, expected_value: E92000001, label: geography} + - {column: D, row: 730, expected_value: Males, label: sex} + - {column: E, row: 730, expected_value: Total, label: employment type} + - {column: J, row: 730, expected_value: Value, label: measure} + - {column: L, row: 731, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 732 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 732, expected_value: E92000001, label: geography} + - {column: D, row: 732, expected_value: Males, label: sex} + - {column: E, row: 732, expected_value: Total, label: employment type} + - {column: J, row: 732, expected_value: Value, label: measure} + - {column: L, row: 733, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 734 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 734, expected_value: E92000001, label: geography} + - {column: D, row: 734, expected_value: Males, label: sex} + - {column: E, row: 734, expected_value: Total, label: employment type} + - {column: J, row: 734, expected_value: Value, label: measure} + - {column: L, row: 735, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 736 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 736, expected_value: E92000001, label: geography} + - {column: D, row: 736, expected_value: Males, label: sex} + - {column: E, row: 736, expected_value: Total, label: employment type} + - {column: J, row: 736, expected_value: Value, label: measure} + - {column: L, row: 737, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 738 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 738, expected_value: E92000001, label: geography} + - {column: D, row: 738, expected_value: Males, label: sex} + - {column: E, row: 738, expected_value: Total, label: employment type} + - {column: J, row: 738, expected_value: Value, label: measure} + - {column: L, row: 739, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 740 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 740, expected_value: E92000001, label: geography} + - {column: D, row: 740, expected_value: Males, label: sex} + - {column: E, row: 740, expected_value: Total, label: employment type} + - {column: J, row: 740, expected_value: Value, label: measure} + - {column: L, row: 741, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 742 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 742, expected_value: E92000001, label: geography} + - {column: D, row: 742, expected_value: Males, label: sex} + - {column: E, row: 742, expected_value: Total, label: employment type} + - {column: J, row: 742, expected_value: Value, label: measure} + - {column: L, row: 743, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 744 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 744, expected_value: E92000001, label: geography} + - {column: D, row: 744, expected_value: Males, label: sex} + - {column: E, row: 744, expected_value: Total, label: employment type} + - {column: J, row: 744, expected_value: Value, label: measure} + - {column: L, row: 745, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 746 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 746, expected_value: E92000001, label: geography} + - {column: D, row: 746, expected_value: Males, label: sex} + - {column: E, row: 746, expected_value: Total, label: employment type} + - {column: J, row: 746, expected_value: Value, label: measure} + - {column: L, row: 747, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 748 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 748, expected_value: E92000001, label: geography} + - {column: D, row: 748, expected_value: Males, label: sex} + - {column: E, row: 748, expected_value: Total, label: employment type} + - {column: J, row: 748, expected_value: Value, label: measure} + - {column: L, row: 749, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 750 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 750, expected_value: E92000001, label: geography} + - {column: D, row: 750, expected_value: Males, label: sex} + - {column: E, row: 750, expected_value: Total, label: employment type} + - {column: J, row: 750, expected_value: Value, label: measure} + - {column: L, row: 751, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 752 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 752, expected_value: E92000001, label: geography} + - {column: D, row: 752, expected_value: Males, label: sex} + - {column: E, row: 752, expected_value: Total, label: employment type} + - {column: J, row: 752, expected_value: Value, label: measure} + - {column: L, row: 753, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 754 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 754, expected_value: E92000001, label: geography} + - {column: D, row: 754, expected_value: Males, label: sex} + - {column: E, row: 754, expected_value: Total, label: employment type} + - {column: J, row: 754, expected_value: Value, label: measure} + - {column: L, row: 755, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 756 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 756, expected_value: E92000001, label: geography} + - {column: D, row: 756, expected_value: Males, label: sex} + - {column: E, row: 756, expected_value: Total, label: employment type} + - {column: J, row: 756, expected_value: Value, label: measure} + - {column: L, row: 757, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 758 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 758, expected_value: E92000001, label: geography} + - {column: D, row: 758, expected_value: Males, label: sex} + - {column: E, row: 758, expected_value: Total, label: employment type} + - {column: J, row: 758, expected_value: Value, label: measure} + - {column: L, row: 759, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 760 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 760, expected_value: E92000001, label: geography} + - {column: D, row: 760, expected_value: Males, label: sex} + - {column: E, row: 760, expected_value: Total, label: employment type} + - {column: J, row: 760, expected_value: Value, label: measure} + - {column: L, row: 761, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 762 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 762, expected_value: E92000001, label: geography} + - {column: D, row: 762, expected_value: Males, label: sex} + - {column: E, row: 762, expected_value: Total, label: employment type} + - {column: J, row: 762, expected_value: Value, label: measure} + - {column: L, row: 763, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 764 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 764, expected_value: E92000001, label: geography} + - {column: D, row: 764, expected_value: Males, label: sex} + - {column: E, row: 764, expected_value: Total, label: employment type} + - {column: J, row: 764, expected_value: Value, label: measure} + - {column: L, row: 765, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 766 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 766, expected_value: E92000001, label: geography} + - {column: D, row: 766, expected_value: Males, label: sex} + - {column: E, row: 766, expected_value: Total, label: employment type} + - {column: J, row: 766, expected_value: Value, label: measure} + - {column: L, row: 767, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 768 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 768, expected_value: E92000001, label: geography} + - {column: D, row: 768, expected_value: Males, label: sex} + - {column: E, row: 768, expected_value: Total, label: employment type} + - {column: J, row: 768, expected_value: Value, label: measure} + - {column: L, row: 769, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 770 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 770, expected_value: E92000001, label: geography} + - {column: D, row: 770, expected_value: Males, label: sex} + - {column: E, row: 770, expected_value: Total, label: employment type} + - {column: J, row: 770, expected_value: Value, label: measure} + - {column: L, row: 771, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 772 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 772, expected_value: E92000001, label: geography} + - {column: D, row: 772, expected_value: Males, label: sex} + - {column: E, row: 772, expected_value: Total, label: employment type} + - {column: J, row: 772, expected_value: Value, label: measure} + - {column: L, row: 773, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 774 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 774, expected_value: E92000001, label: geography} + - {column: D, row: 774, expected_value: Males, label: sex} + - {column: E, row: 774, expected_value: Total, label: employment type} + - {column: J, row: 774, expected_value: Value, label: measure} + - {column: L, row: 775, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 776 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 776, expected_value: E92000001, label: geography} + - {column: D, row: 776, expected_value: Males, label: sex} + - {column: E, row: 776, expected_value: Total, label: employment type} + - {column: J, row: 776, expected_value: Value, label: measure} + - {column: L, row: 777, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 778 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 778, expected_value: E92000001, label: geography} + - {column: D, row: 778, expected_value: Males, label: sex} + - {column: E, row: 778, expected_value: Total, label: employment type} + - {column: J, row: 778, expected_value: Value, label: measure} + - {column: L, row: 779, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 780 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 780, expected_value: E92000001, label: geography} + - {column: D, row: 780, expected_value: Males, label: sex} + - {column: E, row: 780, expected_value: Total, label: employment type} + - {column: J, row: 780, expected_value: Value, label: measure} + - {column: L, row: 781, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 782 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 782, expected_value: E92000001, label: geography} + - {column: D, row: 782, expected_value: Males, label: sex} + - {column: E, row: 782, expected_value: Total, label: employment type} + - {column: J, row: 782, expected_value: Value, label: measure} + - {column: L, row: 783, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 784 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 784, expected_value: E92000001, label: geography} + - {column: D, row: 784, expected_value: Males, label: sex} + - {column: E, row: 784, expected_value: Total, label: employment type} + - {column: J, row: 784, expected_value: Value, label: measure} + - {column: L, row: 785, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 786 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 786, expected_value: E92000001, label: geography} + - {column: D, row: 786, expected_value: Males, label: sex} + - {column: E, row: 786, expected_value: Total, label: employment type} + - {column: J, row: 786, expected_value: Value, label: measure} + - {column: L, row: 787, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 788 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 788, expected_value: E92000001, label: geography} + - {column: D, row: 788, expected_value: Males, label: sex} + - {column: E, row: 788, expected_value: Total, label: employment type} + - {column: J, row: 788, expected_value: Value, label: measure} + - {column: L, row: 789, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 790 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 790, expected_value: E92000001, label: geography} + - {column: D, row: 790, expected_value: Males, label: sex} + - {column: E, row: 790, expected_value: Total, label: employment type} + - {column: J, row: 790, expected_value: Value, label: measure} + - {column: L, row: 791, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 792 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 792, expected_value: E92000001, label: geography} + - {column: D, row: 792, expected_value: Males, label: sex} + - {column: E, row: 792, expected_value: Total, label: employment type} + - {column: J, row: 792, expected_value: Value, label: measure} + - {column: L, row: 793, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 723 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 723, expected_value: E92000001, label: geography} + - {column: D, row: 723, expected_value: Males, label: sex} + - {column: E, row: 723, expected_value: Total, label: employment type} + - {column: J, row: 723, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 725 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 725, expected_value: E92000001, label: geography} + - {column: D, row: 725, expected_value: Males, label: sex} + - {column: E, row: 725, expected_value: Total, label: employment type} + - {column: J, row: 725, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 727 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 727, expected_value: E92000001, label: geography} + - {column: D, row: 727, expected_value: Males, label: sex} + - {column: E, row: 727, expected_value: Total, label: employment type} + - {column: J, row: 727, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 729 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 729, expected_value: E92000001, label: geography} + - {column: D, row: 729, expected_value: Males, label: sex} + - {column: E, row: 729, expected_value: Total, label: employment type} + - {column: J, row: 729, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 731 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 731, expected_value: E92000001, label: geography} + - {column: D, row: 731, expected_value: Males, label: sex} + - {column: E, row: 731, expected_value: Total, label: employment type} + - {column: J, row: 731, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 733 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 733, expected_value: E92000001, label: geography} + - {column: D, row: 733, expected_value: Males, label: sex} + - {column: E, row: 733, expected_value: Total, label: employment type} + - {column: J, row: 733, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 735 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 735, expected_value: E92000001, label: geography} + - {column: D, row: 735, expected_value: Males, label: sex} + - {column: E, row: 735, expected_value: Total, label: employment type} + - {column: J, row: 735, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 737 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 737, expected_value: E92000001, label: geography} + - {column: D, row: 737, expected_value: Males, label: sex} + - {column: E, row: 737, expected_value: Total, label: employment type} + - {column: J, row: 737, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 739 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 739, expected_value: E92000001, label: geography} + - {column: D, row: 739, expected_value: Males, label: sex} + - {column: E, row: 739, expected_value: Total, label: employment type} + - {column: J, row: 739, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 741 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 741, expected_value: E92000001, label: geography} + - {column: D, row: 741, expected_value: Males, label: sex} + - {column: E, row: 741, expected_value: Total, label: employment type} + - {column: J, row: 741, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 743 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 743, expected_value: E92000001, label: geography} + - {column: D, row: 743, expected_value: Males, label: sex} + - {column: E, row: 743, expected_value: Total, label: employment type} + - {column: J, row: 743, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 745 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 745, expected_value: E92000001, label: geography} + - {column: D, row: 745, expected_value: Males, label: sex} + - {column: E, row: 745, expected_value: Total, label: employment type} + - {column: J, row: 745, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 747 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 747, expected_value: E92000001, label: geography} + - {column: D, row: 747, expected_value: Males, label: sex} + - {column: E, row: 747, expected_value: Total, label: employment type} + - {column: J, row: 747, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 749 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 749, expected_value: E92000001, label: geography} + - {column: D, row: 749, expected_value: Males, label: sex} + - {column: E, row: 749, expected_value: Total, label: employment type} + - {column: J, row: 749, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 751 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 751, expected_value: E92000001, label: geography} + - {column: D, row: 751, expected_value: Males, label: sex} + - {column: E, row: 751, expected_value: Total, label: employment type} + - {column: J, row: 751, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 753 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 753, expected_value: E92000001, label: geography} + - {column: D, row: 753, expected_value: Males, label: sex} + - {column: E, row: 753, expected_value: Total, label: employment type} + - {column: J, row: 753, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 755 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 755, expected_value: E92000001, label: geography} + - {column: D, row: 755, expected_value: Males, label: sex} + - {column: E, row: 755, expected_value: Total, label: employment type} + - {column: J, row: 755, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 757 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 757, expected_value: E92000001, label: geography} + - {column: D, row: 757, expected_value: Males, label: sex} + - {column: E, row: 757, expected_value: Total, label: employment type} + - {column: J, row: 757, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 759 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 759, expected_value: E92000001, label: geography} + - {column: D, row: 759, expected_value: Males, label: sex} + - {column: E, row: 759, expected_value: Total, label: employment type} + - {column: J, row: 759, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 761 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 761, expected_value: E92000001, label: geography} + - {column: D, row: 761, expected_value: Males, label: sex} + - {column: E, row: 761, expected_value: Total, label: employment type} + - {column: J, row: 761, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 763 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 763, expected_value: E92000001, label: geography} + - {column: D, row: 763, expected_value: Males, label: sex} + - {column: E, row: 763, expected_value: Total, label: employment type} + - {column: J, row: 763, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 765 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 765, expected_value: E92000001, label: geography} + - {column: D, row: 765, expected_value: Males, label: sex} + - {column: E, row: 765, expected_value: Total, label: employment type} + - {column: J, row: 765, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 767 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 767, expected_value: E92000001, label: geography} + - {column: D, row: 767, expected_value: Males, label: sex} + - {column: E, row: 767, expected_value: Total, label: employment type} + - {column: J, row: 767, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 769 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 769, expected_value: E92000001, label: geography} + - {column: D, row: 769, expected_value: Males, label: sex} + - {column: E, row: 769, expected_value: Total, label: employment type} + - {column: J, row: 769, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 771 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 771, expected_value: E92000001, label: geography} + - {column: D, row: 771, expected_value: Males, label: sex} + - {column: E, row: 771, expected_value: Total, label: employment type} + - {column: J, row: 771, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 773 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 773, expected_value: E92000001, label: geography} + - {column: D, row: 773, expected_value: Males, label: sex} + - {column: E, row: 773, expected_value: Total, label: employment type} + - {column: J, row: 773, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 775 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 775, expected_value: E92000001, label: geography} + - {column: D, row: 775, expected_value: Males, label: sex} + - {column: E, row: 775, expected_value: Total, label: employment type} + - {column: J, row: 775, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 777 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 777, expected_value: E92000001, label: geography} + - {column: D, row: 777, expected_value: Males, label: sex} + - {column: E, row: 777, expected_value: Total, label: employment type} + - {column: J, row: 777, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 779 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 779, expected_value: E92000001, label: geography} + - {column: D, row: 779, expected_value: Males, label: sex} + - {column: E, row: 779, expected_value: Total, label: employment type} + - {column: J, row: 779, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 781 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 781, expected_value: E92000001, label: geography} + - {column: D, row: 781, expected_value: Males, label: sex} + - {column: E, row: 781, expected_value: Total, label: employment type} + - {column: J, row: 781, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 783 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 783, expected_value: E92000001, label: geography} + - {column: D, row: 783, expected_value: Males, label: sex} + - {column: E, row: 783, expected_value: Total, label: employment type} + - {column: J, row: 783, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 785 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 785, expected_value: E92000001, label: geography} + - {column: D, row: 785, expected_value: Males, label: sex} + - {column: E, row: 785, expected_value: Total, label: employment type} + - {column: J, row: 785, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 787 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 787, expected_value: E92000001, label: geography} + - {column: D, row: 787, expected_value: Males, label: sex} + - {column: E, row: 787, expected_value: Total, label: employment type} + - {column: J, row: 787, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 789 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 789, expected_value: E92000001, label: geography} + - {column: D, row: 789, expected_value: Males, label: sex} + - {column: E, row: 789, expected_value: Total, label: employment type} + - {column: J, row: 789, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 791 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 791, expected_value: E92000001, label: geography} + - {column: D, row: 791, expected_value: Males, label: sex} + - {column: E, row: 791, expected_value: Total, label: employment type} + - {column: J, row: 791, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 793 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 793, expected_value: E92000001, label: geography} + - {column: D, row: 793, expected_value: Males, label: sex} + - {column: E, row: 793, expected_value: Total, label: employment type} + - {column: J, row: 793, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 938 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 938, expected_value: E92000001, label: geography} + - {column: D, row: 938, expected_value: Males, label: sex} + - {column: E, row: 938, expected_value: Employee, label: employment type} + - {column: J, row: 938, expected_value: Value, label: measure} + - {column: L, row: 939, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 940 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 940, expected_value: E92000001, label: geography} + - {column: D, row: 940, expected_value: Males, label: sex} + - {column: E, row: 940, expected_value: Employee, label: employment type} + - {column: J, row: 940, expected_value: Value, label: measure} + - {column: L, row: 941, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 942 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 942, expected_value: E92000001, label: geography} + - {column: D, row: 942, expected_value: Males, label: sex} + - {column: E, row: 942, expected_value: Employee, label: employment type} + - {column: J, row: 942, expected_value: Value, label: measure} + - {column: L, row: 943, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 944 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 944, expected_value: E92000001, label: geography} + - {column: D, row: 944, expected_value: Males, label: sex} + - {column: E, row: 944, expected_value: Employee, label: employment type} + - {column: J, row: 944, expected_value: Value, label: measure} + - {column: L, row: 945, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 946 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 946, expected_value: E92000001, label: geography} + - {column: D, row: 946, expected_value: Males, label: sex} + - {column: E, row: 946, expected_value: Employee, label: employment type} + - {column: J, row: 946, expected_value: Value, label: measure} + - {column: L, row: 947, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 948 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 948, expected_value: E92000001, label: geography} + - {column: D, row: 948, expected_value: Males, label: sex} + - {column: E, row: 948, expected_value: Employee, label: employment type} + - {column: J, row: 948, expected_value: Value, label: measure} + - {column: L, row: 949, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 950 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 950, expected_value: E92000001, label: geography} + - {column: D, row: 950, expected_value: Males, label: sex} + - {column: E, row: 950, expected_value: Employee, label: employment type} + - {column: J, row: 950, expected_value: Value, label: measure} + - {column: L, row: 951, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 952 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 952, expected_value: E92000001, label: geography} + - {column: D, row: 952, expected_value: Males, label: sex} + - {column: E, row: 952, expected_value: Employee, label: employment type} + - {column: J, row: 952, expected_value: Value, label: measure} + - {column: L, row: 953, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 954 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 954, expected_value: E92000001, label: geography} + - {column: D, row: 954, expected_value: Males, label: sex} + - {column: E, row: 954, expected_value: Employee, label: employment type} + - {column: J, row: 954, expected_value: Value, label: measure} + - {column: L, row: 955, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 956 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 956, expected_value: E92000001, label: geography} + - {column: D, row: 956, expected_value: Males, label: sex} + - {column: E, row: 956, expected_value: Employee, label: employment type} + - {column: J, row: 956, expected_value: Value, label: measure} + - {column: L, row: 957, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 958 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 958, expected_value: E92000001, label: geography} + - {column: D, row: 958, expected_value: Males, label: sex} + - {column: E, row: 958, expected_value: Employee, label: employment type} + - {column: J, row: 958, expected_value: Value, label: measure} + - {column: L, row: 959, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 960 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 960, expected_value: E92000001, label: geography} + - {column: D, row: 960, expected_value: Males, label: sex} + - {column: E, row: 960, expected_value: Employee, label: employment type} + - {column: J, row: 960, expected_value: Value, label: measure} + - {column: L, row: 961, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 962 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 962, expected_value: E92000001, label: geography} + - {column: D, row: 962, expected_value: Males, label: sex} + - {column: E, row: 962, expected_value: Employee, label: employment type} + - {column: J, row: 962, expected_value: Value, label: measure} + - {column: L, row: 963, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 964 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 964, expected_value: E92000001, label: geography} + - {column: D, row: 964, expected_value: Males, label: sex} + - {column: E, row: 964, expected_value: Employee, label: employment type} + - {column: J, row: 964, expected_value: Value, label: measure} + - {column: L, row: 965, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 966 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 966, expected_value: E92000001, label: geography} + - {column: D, row: 966, expected_value: Males, label: sex} + - {column: E, row: 966, expected_value: Employee, label: employment type} + - {column: J, row: 966, expected_value: Value, label: measure} + - {column: L, row: 967, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 968 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 968, expected_value: E92000001, label: geography} + - {column: D, row: 968, expected_value: Males, label: sex} + - {column: E, row: 968, expected_value: Employee, label: employment type} + - {column: J, row: 968, expected_value: Value, label: measure} + - {column: L, row: 969, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 970 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 970, expected_value: E92000001, label: geography} + - {column: D, row: 970, expected_value: Males, label: sex} + - {column: E, row: 970, expected_value: Employee, label: employment type} + - {column: J, row: 970, expected_value: Value, label: measure} + - {column: L, row: 971, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 972 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 972, expected_value: E92000001, label: geography} + - {column: D, row: 972, expected_value: Males, label: sex} + - {column: E, row: 972, expected_value: Employee, label: employment type} + - {column: J, row: 972, expected_value: Value, label: measure} + - {column: L, row: 973, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 974 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 974, expected_value: E92000001, label: geography} + - {column: D, row: 974, expected_value: Males, label: sex} + - {column: E, row: 974, expected_value: Employee, label: employment type} + - {column: J, row: 974, expected_value: Value, label: measure} + - {column: L, row: 975, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 976 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 976, expected_value: E92000001, label: geography} + - {column: D, row: 976, expected_value: Males, label: sex} + - {column: E, row: 976, expected_value: Employee, label: employment type} + - {column: J, row: 976, expected_value: Value, label: measure} + - {column: L, row: 977, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 978 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 978, expected_value: E92000001, label: geography} + - {column: D, row: 978, expected_value: Males, label: sex} + - {column: E, row: 978, expected_value: Employee, label: employment type} + - {column: J, row: 978, expected_value: Value, label: measure} + - {column: L, row: 979, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 980 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 980, expected_value: E92000001, label: geography} + - {column: D, row: 980, expected_value: Males, label: sex} + - {column: E, row: 980, expected_value: Employee, label: employment type} + - {column: J, row: 980, expected_value: Value, label: measure} + - {column: L, row: 981, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 982 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 982, expected_value: E92000001, label: geography} + - {column: D, row: 982, expected_value: Males, label: sex} + - {column: E, row: 982, expected_value: Employee, label: employment type} + - {column: J, row: 982, expected_value: Value, label: measure} + - {column: L, row: 983, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 984 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 984, expected_value: E92000001, label: geography} + - {column: D, row: 984, expected_value: Males, label: sex} + - {column: E, row: 984, expected_value: Employee, label: employment type} + - {column: J, row: 984, expected_value: Value, label: measure} + - {column: L, row: 985, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 986 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 986, expected_value: E92000001, label: geography} + - {column: D, row: 986, expected_value: Males, label: sex} + - {column: E, row: 986, expected_value: Employee, label: employment type} + - {column: J, row: 986, expected_value: Value, label: measure} + - {column: L, row: 987, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 988 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 988, expected_value: E92000001, label: geography} + - {column: D, row: 988, expected_value: Males, label: sex} + - {column: E, row: 988, expected_value: Employee, label: employment type} + - {column: J, row: 988, expected_value: Value, label: measure} + - {column: L, row: 989, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 990 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 990, expected_value: E92000001, label: geography} + - {column: D, row: 990, expected_value: Males, label: sex} + - {column: E, row: 990, expected_value: Employee, label: employment type} + - {column: J, row: 990, expected_value: Value, label: measure} + - {column: L, row: 991, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 992 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 992, expected_value: E92000001, label: geography} + - {column: D, row: 992, expected_value: Males, label: sex} + - {column: E, row: 992, expected_value: Employee, label: employment type} + - {column: J, row: 992, expected_value: Value, label: measure} + - {column: L, row: 993, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 994 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 994, expected_value: E92000001, label: geography} + - {column: D, row: 994, expected_value: Males, label: sex} + - {column: E, row: 994, expected_value: Employee, label: employment type} + - {column: J, row: 994, expected_value: Value, label: measure} + - {column: L, row: 995, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 996 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 996, expected_value: E92000001, label: geography} + - {column: D, row: 996, expected_value: Males, label: sex} + - {column: E, row: 996, expected_value: Employee, label: employment type} + - {column: J, row: 996, expected_value: Value, label: measure} + - {column: L, row: 997, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 998 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 998, expected_value: E92000001, label: geography} + - {column: D, row: 998, expected_value: Males, label: sex} + - {column: E, row: 998, expected_value: Employee, label: employment type} + - {column: J, row: 998, expected_value: Value, label: measure} + - {column: L, row: 999, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1000 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1000, expected_value: E92000001, label: geography} + - {column: D, row: 1000, expected_value: Males, label: sex} + - {column: E, row: 1000, expected_value: Employee, label: employment type} + - {column: J, row: 1000, expected_value: Value, label: measure} + - {column: L, row: 1001, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1002 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1002, expected_value: E92000001, label: geography} + - {column: D, row: 1002, expected_value: Males, label: sex} + - {column: E, row: 1002, expected_value: Employee, label: employment type} + - {column: J, row: 1002, expected_value: Value, label: measure} + - {column: L, row: 1003, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1004 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1004, expected_value: E92000001, label: geography} + - {column: D, row: 1004, expected_value: Males, label: sex} + - {column: E, row: 1004, expected_value: Employee, label: employment type} + - {column: J, row: 1004, expected_value: Value, label: measure} + - {column: L, row: 1005, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1006 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1006, expected_value: E92000001, label: geography} + - {column: D, row: 1006, expected_value: Males, label: sex} + - {column: E, row: 1006, expected_value: Employee, label: employment type} + - {column: J, row: 1006, expected_value: Value, label: measure} + - {column: L, row: 1007, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1008 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1008, expected_value: E92000001, label: geography} + - {column: D, row: 1008, expected_value: Males, label: sex} + - {column: E, row: 1008, expected_value: Employee, label: employment type} + - {column: J, row: 1008, expected_value: Value, label: measure} + - {column: L, row: 1009, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 939 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 939, expected_value: E92000001, label: geography} + - {column: D, row: 939, expected_value: Males, label: sex} + - {column: E, row: 939, expected_value: Employee, label: employment type} + - {column: J, row: 939, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 941 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 941, expected_value: E92000001, label: geography} + - {column: D, row: 941, expected_value: Males, label: sex} + - {column: E, row: 941, expected_value: Employee, label: employment type} + - {column: J, row: 941, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 943 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 943, expected_value: E92000001, label: geography} + - {column: D, row: 943, expected_value: Males, label: sex} + - {column: E, row: 943, expected_value: Employee, label: employment type} + - {column: J, row: 943, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 945 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 945, expected_value: E92000001, label: geography} + - {column: D, row: 945, expected_value: Males, label: sex} + - {column: E, row: 945, expected_value: Employee, label: employment type} + - {column: J, row: 945, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 947 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 947, expected_value: E92000001, label: geography} + - {column: D, row: 947, expected_value: Males, label: sex} + - {column: E, row: 947, expected_value: Employee, label: employment type} + - {column: J, row: 947, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 949 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 949, expected_value: E92000001, label: geography} + - {column: D, row: 949, expected_value: Males, label: sex} + - {column: E, row: 949, expected_value: Employee, label: employment type} + - {column: J, row: 949, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 951 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 951, expected_value: E92000001, label: geography} + - {column: D, row: 951, expected_value: Males, label: sex} + - {column: E, row: 951, expected_value: Employee, label: employment type} + - {column: J, row: 951, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 953 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 953, expected_value: E92000001, label: geography} + - {column: D, row: 953, expected_value: Males, label: sex} + - {column: E, row: 953, expected_value: Employee, label: employment type} + - {column: J, row: 953, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 955 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 955, expected_value: E92000001, label: geography} + - {column: D, row: 955, expected_value: Males, label: sex} + - {column: E, row: 955, expected_value: Employee, label: employment type} + - {column: J, row: 955, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 957 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 957, expected_value: E92000001, label: geography} + - {column: D, row: 957, expected_value: Males, label: sex} + - {column: E, row: 957, expected_value: Employee, label: employment type} + - {column: J, row: 957, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 959 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 959, expected_value: E92000001, label: geography} + - {column: D, row: 959, expected_value: Males, label: sex} + - {column: E, row: 959, expected_value: Employee, label: employment type} + - {column: J, row: 959, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 961 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 961, expected_value: E92000001, label: geography} + - {column: D, row: 961, expected_value: Males, label: sex} + - {column: E, row: 961, expected_value: Employee, label: employment type} + - {column: J, row: 961, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 963 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 963, expected_value: E92000001, label: geography} + - {column: D, row: 963, expected_value: Males, label: sex} + - {column: E, row: 963, expected_value: Employee, label: employment type} + - {column: J, row: 963, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 965 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 965, expected_value: E92000001, label: geography} + - {column: D, row: 965, expected_value: Males, label: sex} + - {column: E, row: 965, expected_value: Employee, label: employment type} + - {column: J, row: 965, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 967 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 967, expected_value: E92000001, label: geography} + - {column: D, row: 967, expected_value: Males, label: sex} + - {column: E, row: 967, expected_value: Employee, label: employment type} + - {column: J, row: 967, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 969 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 969, expected_value: E92000001, label: geography} + - {column: D, row: 969, expected_value: Males, label: sex} + - {column: E, row: 969, expected_value: Employee, label: employment type} + - {column: J, row: 969, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 971 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 971, expected_value: E92000001, label: geography} + - {column: D, row: 971, expected_value: Males, label: sex} + - {column: E, row: 971, expected_value: Employee, label: employment type} + - {column: J, row: 971, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 973 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 973, expected_value: E92000001, label: geography} + - {column: D, row: 973, expected_value: Males, label: sex} + - {column: E, row: 973, expected_value: Employee, label: employment type} + - {column: J, row: 973, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 975 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 975, expected_value: E92000001, label: geography} + - {column: D, row: 975, expected_value: Males, label: sex} + - {column: E, row: 975, expected_value: Employee, label: employment type} + - {column: J, row: 975, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 977 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 977, expected_value: E92000001, label: geography} + - {column: D, row: 977, expected_value: Males, label: sex} + - {column: E, row: 977, expected_value: Employee, label: employment type} + - {column: J, row: 977, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 979 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 979, expected_value: E92000001, label: geography} + - {column: D, row: 979, expected_value: Males, label: sex} + - {column: E, row: 979, expected_value: Employee, label: employment type} + - {column: J, row: 979, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 981 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 981, expected_value: E92000001, label: geography} + - {column: D, row: 981, expected_value: Males, label: sex} + - {column: E, row: 981, expected_value: Employee, label: employment type} + - {column: J, row: 981, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 983 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 983, expected_value: E92000001, label: geography} + - {column: D, row: 983, expected_value: Males, label: sex} + - {column: E, row: 983, expected_value: Employee, label: employment type} + - {column: J, row: 983, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 985 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 985, expected_value: E92000001, label: geography} + - {column: D, row: 985, expected_value: Males, label: sex} + - {column: E, row: 985, expected_value: Employee, label: employment type} + - {column: J, row: 985, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 987 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 987, expected_value: E92000001, label: geography} + - {column: D, row: 987, expected_value: Males, label: sex} + - {column: E, row: 987, expected_value: Employee, label: employment type} + - {column: J, row: 987, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 989 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 989, expected_value: E92000001, label: geography} + - {column: D, row: 989, expected_value: Males, label: sex} + - {column: E, row: 989, expected_value: Employee, label: employment type} + - {column: J, row: 989, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 991 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 991, expected_value: E92000001, label: geography} + - {column: D, row: 991, expected_value: Males, label: sex} + - {column: E, row: 991, expected_value: Employee, label: employment type} + - {column: J, row: 991, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 993 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 993, expected_value: E92000001, label: geography} + - {column: D, row: 993, expected_value: Males, label: sex} + - {column: E, row: 993, expected_value: Employee, label: employment type} + - {column: J, row: 993, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 995 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 995, expected_value: E92000001, label: geography} + - {column: D, row: 995, expected_value: Males, label: sex} + - {column: E, row: 995, expected_value: Employee, label: employment type} + - {column: J, row: 995, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 997 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 997, expected_value: E92000001, label: geography} + - {column: D, row: 997, expected_value: Males, label: sex} + - {column: E, row: 997, expected_value: Employee, label: employment type} + - {column: J, row: 997, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 999 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 999, expected_value: E92000001, label: geography} + - {column: D, row: 999, expected_value: Males, label: sex} + - {column: E, row: 999, expected_value: Employee, label: employment type} + - {column: J, row: 999, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1001 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1001, expected_value: E92000001, label: geography} + - {column: D, row: 1001, expected_value: Males, label: sex} + - {column: E, row: 1001, expected_value: Employee, label: employment type} + - {column: J, row: 1001, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1003 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1003, expected_value: E92000001, label: geography} + - {column: D, row: 1003, expected_value: Males, label: sex} + - {column: E, row: 1003, expected_value: Employee, label: employment type} + - {column: J, row: 1003, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1005 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1005, expected_value: E92000001, label: geography} + - {column: D, row: 1005, expected_value: Males, label: sex} + - {column: E, row: 1005, expected_value: Employee, label: employment type} + - {column: J, row: 1005, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1007 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1007, expected_value: E92000001, label: geography} + - {column: D, row: 1007, expected_value: Males, label: sex} + - {column: E, row: 1007, expected_value: Employee, label: employment type} + - {column: J, row: 1007, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1009 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1009, expected_value: E92000001, label: geography} + - {column: D, row: 1009, expected_value: Males, label: sex} + - {column: E, row: 1009, expected_value: Employee, label: employment type} + - {column: J, row: 1009, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1154 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1154, expected_value: E92000001, label: geography} + - {column: D, row: 1154, expected_value: Males, label: sex} + - {column: E, row: 1154, expected_value: Self-employed, label: employment type} + - {column: J, row: 1154, expected_value: Value, label: measure} + - {column: L, row: 1155, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1156 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1156, expected_value: E92000001, label: geography} + - {column: D, row: 1156, expected_value: Males, label: sex} + - {column: E, row: 1156, expected_value: Self-employed, label: employment type} + - {column: J, row: 1156, expected_value: Value, label: measure} + - {column: L, row: 1157, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1158 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1158, expected_value: E92000001, label: geography} + - {column: D, row: 1158, expected_value: Males, label: sex} + - {column: E, row: 1158, expected_value: Self-employed, label: employment type} + - {column: J, row: 1158, expected_value: Value, label: measure} + - {column: L, row: 1159, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1160 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1160, expected_value: E92000001, label: geography} + - {column: D, row: 1160, expected_value: Males, label: sex} + - {column: E, row: 1160, expected_value: Self-employed, label: employment type} + - {column: J, row: 1160, expected_value: Value, label: measure} + - {column: L, row: 1161, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1162 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1162, expected_value: E92000001, label: geography} + - {column: D, row: 1162, expected_value: Males, label: sex} + - {column: E, row: 1162, expected_value: Self-employed, label: employment type} + - {column: J, row: 1162, expected_value: Value, label: measure} + - {column: L, row: 1163, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1164 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1164, expected_value: E92000001, label: geography} + - {column: D, row: 1164, expected_value: Males, label: sex} + - {column: E, row: 1164, expected_value: Self-employed, label: employment type} + - {column: J, row: 1164, expected_value: Value, label: measure} + - {column: L, row: 1165, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1166 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1166, expected_value: E92000001, label: geography} + - {column: D, row: 1166, expected_value: Males, label: sex} + - {column: E, row: 1166, expected_value: Self-employed, label: employment type} + - {column: J, row: 1166, expected_value: Value, label: measure} + - {column: L, row: 1167, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1168 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1168, expected_value: E92000001, label: geography} + - {column: D, row: 1168, expected_value: Males, label: sex} + - {column: E, row: 1168, expected_value: Self-employed, label: employment type} + - {column: J, row: 1168, expected_value: Value, label: measure} + - {column: L, row: 1169, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1170 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1170, expected_value: E92000001, label: geography} + - {column: D, row: 1170, expected_value: Males, label: sex} + - {column: E, row: 1170, expected_value: Self-employed, label: employment type} + - {column: J, row: 1170, expected_value: Value, label: measure} + - {column: L, row: 1171, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1172 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1172, expected_value: E92000001, label: geography} + - {column: D, row: 1172, expected_value: Males, label: sex} + - {column: E, row: 1172, expected_value: Self-employed, label: employment type} + - {column: J, row: 1172, expected_value: Value, label: measure} + - {column: L, row: 1173, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1174 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1174, expected_value: E92000001, label: geography} + - {column: D, row: 1174, expected_value: Males, label: sex} + - {column: E, row: 1174, expected_value: Self-employed, label: employment type} + - {column: J, row: 1174, expected_value: Value, label: measure} + - {column: L, row: 1175, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1176 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1176, expected_value: E92000001, label: geography} + - {column: D, row: 1176, expected_value: Males, label: sex} + - {column: E, row: 1176, expected_value: Self-employed, label: employment type} + - {column: J, row: 1176, expected_value: Value, label: measure} + - {column: L, row: 1177, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1178 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1178, expected_value: E92000001, label: geography} + - {column: D, row: 1178, expected_value: Males, label: sex} + - {column: E, row: 1178, expected_value: Self-employed, label: employment type} + - {column: J, row: 1178, expected_value: Value, label: measure} + - {column: L, row: 1179, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1180 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1180, expected_value: E92000001, label: geography} + - {column: D, row: 1180, expected_value: Males, label: sex} + - {column: E, row: 1180, expected_value: Self-employed, label: employment type} + - {column: J, row: 1180, expected_value: Value, label: measure} + - {column: L, row: 1181, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1182 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1182, expected_value: E92000001, label: geography} + - {column: D, row: 1182, expected_value: Males, label: sex} + - {column: E, row: 1182, expected_value: Self-employed, label: employment type} + - {column: J, row: 1182, expected_value: Value, label: measure} + - {column: L, row: 1183, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1184 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1184, expected_value: E92000001, label: geography} + - {column: D, row: 1184, expected_value: Males, label: sex} + - {column: E, row: 1184, expected_value: Self-employed, label: employment type} + - {column: J, row: 1184, expected_value: Value, label: measure} + - {column: L, row: 1185, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1186 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1186, expected_value: E92000001, label: geography} + - {column: D, row: 1186, expected_value: Males, label: sex} + - {column: E, row: 1186, expected_value: Self-employed, label: employment type} + - {column: J, row: 1186, expected_value: Value, label: measure} + - {column: L, row: 1187, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1190 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1190, expected_value: E92000001, label: geography} + - {column: D, row: 1190, expected_value: Males, label: sex} + - {column: E, row: 1190, expected_value: Self-employed, label: employment type} + - {column: J, row: 1190, expected_value: Value, label: measure} + - {column: L, row: 1191, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1192 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1192, expected_value: E92000001, label: geography} + - {column: D, row: 1192, expected_value: Males, label: sex} + - {column: E, row: 1192, expected_value: Self-employed, label: employment type} + - {column: J, row: 1192, expected_value: Value, label: measure} + - {column: L, row: 1193, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1194 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1194, expected_value: E92000001, label: geography} + - {column: D, row: 1194, expected_value: Males, label: sex} + - {column: E, row: 1194, expected_value: Self-employed, label: employment type} + - {column: J, row: 1194, expected_value: Value, label: measure} + - {column: L, row: 1195, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1196 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1196, expected_value: E92000001, label: geography} + - {column: D, row: 1196, expected_value: Males, label: sex} + - {column: E, row: 1196, expected_value: Self-employed, label: employment type} + - {column: J, row: 1196, expected_value: Value, label: measure} + - {column: L, row: 1197, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1198 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1198, expected_value: E92000001, label: geography} + - {column: D, row: 1198, expected_value: Males, label: sex} + - {column: E, row: 1198, expected_value: Self-employed, label: employment type} + - {column: J, row: 1198, expected_value: Value, label: measure} + - {column: L, row: 1199, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1200 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1200, expected_value: E92000001, label: geography} + - {column: D, row: 1200, expected_value: Males, label: sex} + - {column: E, row: 1200, expected_value: Self-employed, label: employment type} + - {column: J, row: 1200, expected_value: Value, label: measure} + - {column: L, row: 1201, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1202 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1202, expected_value: E92000001, label: geography} + - {column: D, row: 1202, expected_value: Males, label: sex} + - {column: E, row: 1202, expected_value: Self-employed, label: employment type} + - {column: J, row: 1202, expected_value: Value, label: measure} + - {column: L, row: 1203, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1204 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1204, expected_value: E92000001, label: geography} + - {column: D, row: 1204, expected_value: Males, label: sex} + - {column: E, row: 1204, expected_value: Self-employed, label: employment type} + - {column: J, row: 1204, expected_value: Value, label: measure} + - {column: L, row: 1205, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1208 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1208, expected_value: E92000001, label: geography} + - {column: D, row: 1208, expected_value: Males, label: sex} + - {column: E, row: 1208, expected_value: Self-employed, label: employment type} + - {column: J, row: 1208, expected_value: Value, label: measure} + - {column: L, row: 1209, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1210 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1210, expected_value: E92000001, label: geography} + - {column: D, row: 1210, expected_value: Males, label: sex} + - {column: E, row: 1210, expected_value: Self-employed, label: employment type} + - {column: J, row: 1210, expected_value: Value, label: measure} + - {column: L, row: 1211, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1212 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1212, expected_value: E92000001, label: geography} + - {column: D, row: 1212, expected_value: Males, label: sex} + - {column: E, row: 1212, expected_value: Self-employed, label: employment type} + - {column: J, row: 1212, expected_value: Value, label: measure} + - {column: L, row: 1213, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1214 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1214, expected_value: E92000001, label: geography} + - {column: D, row: 1214, expected_value: Males, label: sex} + - {column: E, row: 1214, expected_value: Self-employed, label: employment type} + - {column: J, row: 1214, expected_value: Value, label: measure} + - {column: L, row: 1215, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1216 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1216, expected_value: E92000001, label: geography} + - {column: D, row: 1216, expected_value: Males, label: sex} + - {column: E, row: 1216, expected_value: Self-employed, label: employment type} + - {column: J, row: 1216, expected_value: Value, label: measure} + - {column: L, row: 1217, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1218 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1218, expected_value: E92000001, label: geography} + - {column: D, row: 1218, expected_value: Males, label: sex} + - {column: E, row: 1218, expected_value: Self-employed, label: employment type} + - {column: J, row: 1218, expected_value: Value, label: measure} + - {column: L, row: 1219, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1220 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1220, expected_value: E92000001, label: geography} + - {column: D, row: 1220, expected_value: Males, label: sex} + - {column: E, row: 1220, expected_value: Self-employed, label: employment type} + - {column: J, row: 1220, expected_value: Value, label: measure} + - {column: L, row: 1221, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1222 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1222, expected_value: E92000001, label: geography} + - {column: D, row: 1222, expected_value: Males, label: sex} + - {column: E, row: 1222, expected_value: Self-employed, label: employment type} + - {column: J, row: 1222, expected_value: Value, label: measure} + - {column: L, row: 1223, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1224 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1224, expected_value: E92000001, label: geography} + - {column: D, row: 1224, expected_value: Males, label: sex} + - {column: E, row: 1224, expected_value: Self-employed, label: employment type} + - {column: J, row: 1224, expected_value: Value, label: measure} + - {column: L, row: 1225, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1155 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1155, expected_value: E92000001, label: geography} + - {column: D, row: 1155, expected_value: Males, label: sex} + - {column: E, row: 1155, expected_value: Self-employed, label: employment type} + - {column: J, row: 1155, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1157 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1157, expected_value: E92000001, label: geography} + - {column: D, row: 1157, expected_value: Males, label: sex} + - {column: E, row: 1157, expected_value: Self-employed, label: employment type} + - {column: J, row: 1157, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1159 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1159, expected_value: E92000001, label: geography} + - {column: D, row: 1159, expected_value: Males, label: sex} + - {column: E, row: 1159, expected_value: Self-employed, label: employment type} + - {column: J, row: 1159, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1161 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1161, expected_value: E92000001, label: geography} + - {column: D, row: 1161, expected_value: Males, label: sex} + - {column: E, row: 1161, expected_value: Self-employed, label: employment type} + - {column: J, row: 1161, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1163 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1163, expected_value: E92000001, label: geography} + - {column: D, row: 1163, expected_value: Males, label: sex} + - {column: E, row: 1163, expected_value: Self-employed, label: employment type} + - {column: J, row: 1163, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1165 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1165, expected_value: E92000001, label: geography} + - {column: D, row: 1165, expected_value: Males, label: sex} + - {column: E, row: 1165, expected_value: Self-employed, label: employment type} + - {column: J, row: 1165, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1167 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1167, expected_value: E92000001, label: geography} + - {column: D, row: 1167, expected_value: Males, label: sex} + - {column: E, row: 1167, expected_value: Self-employed, label: employment type} + - {column: J, row: 1167, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1169 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1169, expected_value: E92000001, label: geography} + - {column: D, row: 1169, expected_value: Males, label: sex} + - {column: E, row: 1169, expected_value: Self-employed, label: employment type} + - {column: J, row: 1169, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1171 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1171, expected_value: E92000001, label: geography} + - {column: D, row: 1171, expected_value: Males, label: sex} + - {column: E, row: 1171, expected_value: Self-employed, label: employment type} + - {column: J, row: 1171, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1173 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1173, expected_value: E92000001, label: geography} + - {column: D, row: 1173, expected_value: Males, label: sex} + - {column: E, row: 1173, expected_value: Self-employed, label: employment type} + - {column: J, row: 1173, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1175 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1175, expected_value: E92000001, label: geography} + - {column: D, row: 1175, expected_value: Males, label: sex} + - {column: E, row: 1175, expected_value: Self-employed, label: employment type} + - {column: J, row: 1175, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1177 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1177, expected_value: E92000001, label: geography} + - {column: D, row: 1177, expected_value: Males, label: sex} + - {column: E, row: 1177, expected_value: Self-employed, label: employment type} + - {column: J, row: 1177, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1179 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1179, expected_value: E92000001, label: geography} + - {column: D, row: 1179, expected_value: Males, label: sex} + - {column: E, row: 1179, expected_value: Self-employed, label: employment type} + - {column: J, row: 1179, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1181 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1181, expected_value: E92000001, label: geography} + - {column: D, row: 1181, expected_value: Males, label: sex} + - {column: E, row: 1181, expected_value: Self-employed, label: employment type} + - {column: J, row: 1181, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1183 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1183, expected_value: E92000001, label: geography} + - {column: D, row: 1183, expected_value: Males, label: sex} + - {column: E, row: 1183, expected_value: Self-employed, label: employment type} + - {column: J, row: 1183, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1185 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1185, expected_value: E92000001, label: geography} + - {column: D, row: 1185, expected_value: Males, label: sex} + - {column: E, row: 1185, expected_value: Self-employed, label: employment type} + - {column: J, row: 1185, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1187 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1187, expected_value: E92000001, label: geography} + - {column: D, row: 1187, expected_value: Males, label: sex} + - {column: E, row: 1187, expected_value: Self-employed, label: employment type} + - {column: J, row: 1187, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1191 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1191, expected_value: E92000001, label: geography} + - {column: D, row: 1191, expected_value: Males, label: sex} + - {column: E, row: 1191, expected_value: Self-employed, label: employment type} + - {column: J, row: 1191, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1193 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1193, expected_value: E92000001, label: geography} + - {column: D, row: 1193, expected_value: Males, label: sex} + - {column: E, row: 1193, expected_value: Self-employed, label: employment type} + - {column: J, row: 1193, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1195 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1195, expected_value: E92000001, label: geography} + - {column: D, row: 1195, expected_value: Males, label: sex} + - {column: E, row: 1195, expected_value: Self-employed, label: employment type} + - {column: J, row: 1195, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1197 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1197, expected_value: E92000001, label: geography} + - {column: D, row: 1197, expected_value: Males, label: sex} + - {column: E, row: 1197, expected_value: Self-employed, label: employment type} + - {column: J, row: 1197, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1199 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1199, expected_value: E92000001, label: geography} + - {column: D, row: 1199, expected_value: Males, label: sex} + - {column: E, row: 1199, expected_value: Self-employed, label: employment type} + - {column: J, row: 1199, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1201 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1201, expected_value: E92000001, label: geography} + - {column: D, row: 1201, expected_value: Males, label: sex} + - {column: E, row: 1201, expected_value: Self-employed, label: employment type} + - {column: J, row: 1201, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1203 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1203, expected_value: E92000001, label: geography} + - {column: D, row: 1203, expected_value: Males, label: sex} + - {column: E, row: 1203, expected_value: Self-employed, label: employment type} + - {column: J, row: 1203, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1205 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1205, expected_value: E92000001, label: geography} + - {column: D, row: 1205, expected_value: Males, label: sex} + - {column: E, row: 1205, expected_value: Self-employed, label: employment type} + - {column: J, row: 1205, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1209 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1209, expected_value: E92000001, label: geography} + - {column: D, row: 1209, expected_value: Males, label: sex} + - {column: E, row: 1209, expected_value: Self-employed, label: employment type} + - {column: J, row: 1209, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1211 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1211, expected_value: E92000001, label: geography} + - {column: D, row: 1211, expected_value: Males, label: sex} + - {column: E, row: 1211, expected_value: Self-employed, label: employment type} + - {column: J, row: 1211, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1215 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1215, expected_value: E92000001, label: geography} + - {column: D, row: 1215, expected_value: Males, label: sex} + - {column: E, row: 1215, expected_value: Self-employed, label: employment type} + - {column: J, row: 1215, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1217 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1217, expected_value: E92000001, label: geography} + - {column: D, row: 1217, expected_value: Males, label: sex} + - {column: E, row: 1217, expected_value: Self-employed, label: employment type} + - {column: J, row: 1217, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1219 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1219, expected_value: E92000001, label: geography} + - {column: D, row: 1219, expected_value: Males, label: sex} + - {column: E, row: 1219, expected_value: Self-employed, label: employment type} + - {column: J, row: 1219, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1221 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1221, expected_value: E92000001, label: geography} + - {column: D, row: 1221, expected_value: Males, label: sex} + - {column: E, row: 1221, expected_value: Self-employed, label: employment type} + - {column: J, row: 1221, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1223 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1223, expected_value: E92000001, label: geography} + - {column: D, row: 1223, expected_value: Males, label: sex} + - {column: E, row: 1223, expected_value: Self-employed, label: employment type} + - {column: J, row: 1223, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1225 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1225, expected_value: E92000001, label: geography} + - {column: D, row: 1225, expected_value: Males, label: sex} + - {column: E, row: 1225, expected_value: Self-employed, label: employment type} + - {column: J, row: 1225, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 794 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 794, expected_value: E92000001, label: geography} + - {column: D, row: 794, expected_value: Females, label: sex} + - {column: E, row: 794, expected_value: Total, label: employment type} + - {column: J, row: 794, expected_value: Value, label: measure} + - {column: L, row: 795, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 796 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 796, expected_value: E92000001, label: geography} + - {column: D, row: 796, expected_value: Females, label: sex} + - {column: E, row: 796, expected_value: Total, label: employment type} + - {column: J, row: 796, expected_value: Value, label: measure} + - {column: L, row: 797, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 798 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 798, expected_value: E92000001, label: geography} + - {column: D, row: 798, expected_value: Females, label: sex} + - {column: E, row: 798, expected_value: Total, label: employment type} + - {column: J, row: 798, expected_value: Value, label: measure} + - {column: L, row: 799, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 800 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 800, expected_value: E92000001, label: geography} + - {column: D, row: 800, expected_value: Females, label: sex} + - {column: E, row: 800, expected_value: Total, label: employment type} + - {column: J, row: 800, expected_value: Value, label: measure} + - {column: L, row: 801, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 802 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 802, expected_value: E92000001, label: geography} + - {column: D, row: 802, expected_value: Females, label: sex} + - {column: E, row: 802, expected_value: Total, label: employment type} + - {column: J, row: 802, expected_value: Value, label: measure} + - {column: L, row: 803, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 804 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 804, expected_value: E92000001, label: geography} + - {column: D, row: 804, expected_value: Females, label: sex} + - {column: E, row: 804, expected_value: Total, label: employment type} + - {column: J, row: 804, expected_value: Value, label: measure} + - {column: L, row: 805, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 806 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 806, expected_value: E92000001, label: geography} + - {column: D, row: 806, expected_value: Females, label: sex} + - {column: E, row: 806, expected_value: Total, label: employment type} + - {column: J, row: 806, expected_value: Value, label: measure} + - {column: L, row: 807, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 808 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 808, expected_value: E92000001, label: geography} + - {column: D, row: 808, expected_value: Females, label: sex} + - {column: E, row: 808, expected_value: Total, label: employment type} + - {column: J, row: 808, expected_value: Value, label: measure} + - {column: L, row: 809, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 810 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 810, expected_value: E92000001, label: geography} + - {column: D, row: 810, expected_value: Females, label: sex} + - {column: E, row: 810, expected_value: Total, label: employment type} + - {column: J, row: 810, expected_value: Value, label: measure} + - {column: L, row: 811, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 812 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 812, expected_value: E92000001, label: geography} + - {column: D, row: 812, expected_value: Females, label: sex} + - {column: E, row: 812, expected_value: Total, label: employment type} + - {column: J, row: 812, expected_value: Value, label: measure} + - {column: L, row: 813, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 814 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 814, expected_value: E92000001, label: geography} + - {column: D, row: 814, expected_value: Females, label: sex} + - {column: E, row: 814, expected_value: Total, label: employment type} + - {column: J, row: 814, expected_value: Value, label: measure} + - {column: L, row: 815, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 816 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 816, expected_value: E92000001, label: geography} + - {column: D, row: 816, expected_value: Females, label: sex} + - {column: E, row: 816, expected_value: Total, label: employment type} + - {column: J, row: 816, expected_value: Value, label: measure} + - {column: L, row: 817, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 818 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 818, expected_value: E92000001, label: geography} + - {column: D, row: 818, expected_value: Females, label: sex} + - {column: E, row: 818, expected_value: Total, label: employment type} + - {column: J, row: 818, expected_value: Value, label: measure} + - {column: L, row: 819, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 820 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 820, expected_value: E92000001, label: geography} + - {column: D, row: 820, expected_value: Females, label: sex} + - {column: E, row: 820, expected_value: Total, label: employment type} + - {column: J, row: 820, expected_value: Value, label: measure} + - {column: L, row: 821, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 822 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 822, expected_value: E92000001, label: geography} + - {column: D, row: 822, expected_value: Females, label: sex} + - {column: E, row: 822, expected_value: Total, label: employment type} + - {column: J, row: 822, expected_value: Value, label: measure} + - {column: L, row: 823, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 824 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 824, expected_value: E92000001, label: geography} + - {column: D, row: 824, expected_value: Females, label: sex} + - {column: E, row: 824, expected_value: Total, label: employment type} + - {column: J, row: 824, expected_value: Value, label: measure} + - {column: L, row: 825, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 826 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 826, expected_value: E92000001, label: geography} + - {column: D, row: 826, expected_value: Females, label: sex} + - {column: E, row: 826, expected_value: Total, label: employment type} + - {column: J, row: 826, expected_value: Value, label: measure} + - {column: L, row: 827, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 828 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 828, expected_value: E92000001, label: geography} + - {column: D, row: 828, expected_value: Females, label: sex} + - {column: E, row: 828, expected_value: Total, label: employment type} + - {column: J, row: 828, expected_value: Value, label: measure} + - {column: L, row: 829, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 830 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 830, expected_value: E92000001, label: geography} + - {column: D, row: 830, expected_value: Females, label: sex} + - {column: E, row: 830, expected_value: Total, label: employment type} + - {column: J, row: 830, expected_value: Value, label: measure} + - {column: L, row: 831, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 832 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 832, expected_value: E92000001, label: geography} + - {column: D, row: 832, expected_value: Females, label: sex} + - {column: E, row: 832, expected_value: Total, label: employment type} + - {column: J, row: 832, expected_value: Value, label: measure} + - {column: L, row: 833, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 834 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 834, expected_value: E92000001, label: geography} + - {column: D, row: 834, expected_value: Females, label: sex} + - {column: E, row: 834, expected_value: Total, label: employment type} + - {column: J, row: 834, expected_value: Value, label: measure} + - {column: L, row: 835, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 836 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 836, expected_value: E92000001, label: geography} + - {column: D, row: 836, expected_value: Females, label: sex} + - {column: E, row: 836, expected_value: Total, label: employment type} + - {column: J, row: 836, expected_value: Value, label: measure} + - {column: L, row: 837, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 838 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 838, expected_value: E92000001, label: geography} + - {column: D, row: 838, expected_value: Females, label: sex} + - {column: E, row: 838, expected_value: Total, label: employment type} + - {column: J, row: 838, expected_value: Value, label: measure} + - {column: L, row: 839, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 840 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 840, expected_value: E92000001, label: geography} + - {column: D, row: 840, expected_value: Females, label: sex} + - {column: E, row: 840, expected_value: Total, label: employment type} + - {column: J, row: 840, expected_value: Value, label: measure} + - {column: L, row: 841, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 842 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 842, expected_value: E92000001, label: geography} + - {column: D, row: 842, expected_value: Females, label: sex} + - {column: E, row: 842, expected_value: Total, label: employment type} + - {column: J, row: 842, expected_value: Value, label: measure} + - {column: L, row: 843, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 844 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 844, expected_value: E92000001, label: geography} + - {column: D, row: 844, expected_value: Females, label: sex} + - {column: E, row: 844, expected_value: Total, label: employment type} + - {column: J, row: 844, expected_value: Value, label: measure} + - {column: L, row: 845, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 846 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 846, expected_value: E92000001, label: geography} + - {column: D, row: 846, expected_value: Females, label: sex} + - {column: E, row: 846, expected_value: Total, label: employment type} + - {column: J, row: 846, expected_value: Value, label: measure} + - {column: L, row: 847, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 848 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 848, expected_value: E92000001, label: geography} + - {column: D, row: 848, expected_value: Females, label: sex} + - {column: E, row: 848, expected_value: Total, label: employment type} + - {column: J, row: 848, expected_value: Value, label: measure} + - {column: L, row: 849, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 850 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 850, expected_value: E92000001, label: geography} + - {column: D, row: 850, expected_value: Females, label: sex} + - {column: E, row: 850, expected_value: Total, label: employment type} + - {column: J, row: 850, expected_value: Value, label: measure} + - {column: L, row: 851, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 852 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 852, expected_value: E92000001, label: geography} + - {column: D, row: 852, expected_value: Females, label: sex} + - {column: E, row: 852, expected_value: Total, label: employment type} + - {column: J, row: 852, expected_value: Value, label: measure} + - {column: L, row: 853, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 854 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 854, expected_value: E92000001, label: geography} + - {column: D, row: 854, expected_value: Females, label: sex} + - {column: E, row: 854, expected_value: Total, label: employment type} + - {column: J, row: 854, expected_value: Value, label: measure} + - {column: L, row: 855, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 856 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 856, expected_value: E92000001, label: geography} + - {column: D, row: 856, expected_value: Females, label: sex} + - {column: E, row: 856, expected_value: Total, label: employment type} + - {column: J, row: 856, expected_value: Value, label: measure} + - {column: L, row: 857, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 858 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 858, expected_value: E92000001, label: geography} + - {column: D, row: 858, expected_value: Females, label: sex} + - {column: E, row: 858, expected_value: Total, label: employment type} + - {column: J, row: 858, expected_value: Value, label: measure} + - {column: L, row: 859, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 860 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 860, expected_value: E92000001, label: geography} + - {column: D, row: 860, expected_value: Females, label: sex} + - {column: E, row: 860, expected_value: Total, label: employment type} + - {column: J, row: 860, expected_value: Value, label: measure} + - {column: L, row: 861, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 862 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 862, expected_value: E92000001, label: geography} + - {column: D, row: 862, expected_value: Females, label: sex} + - {column: E, row: 862, expected_value: Total, label: employment type} + - {column: J, row: 862, expected_value: Value, label: measure} + - {column: L, row: 863, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 864 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 864, expected_value: E92000001, label: geography} + - {column: D, row: 864, expected_value: Females, label: sex} + - {column: E, row: 864, expected_value: Total, label: employment type} + - {column: J, row: 864, expected_value: Value, label: measure} + - {column: L, row: 865, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 795 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 795, expected_value: E92000001, label: geography} + - {column: D, row: 795, expected_value: Females, label: sex} + - {column: E, row: 795, expected_value: Total, label: employment type} + - {column: J, row: 795, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 797 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 797, expected_value: E92000001, label: geography} + - {column: D, row: 797, expected_value: Females, label: sex} + - {column: E, row: 797, expected_value: Total, label: employment type} + - {column: J, row: 797, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 799 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 799, expected_value: E92000001, label: geography} + - {column: D, row: 799, expected_value: Females, label: sex} + - {column: E, row: 799, expected_value: Total, label: employment type} + - {column: J, row: 799, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 801 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 801, expected_value: E92000001, label: geography} + - {column: D, row: 801, expected_value: Females, label: sex} + - {column: E, row: 801, expected_value: Total, label: employment type} + - {column: J, row: 801, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 803 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 803, expected_value: E92000001, label: geography} + - {column: D, row: 803, expected_value: Females, label: sex} + - {column: E, row: 803, expected_value: Total, label: employment type} + - {column: J, row: 803, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 805 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 805, expected_value: E92000001, label: geography} + - {column: D, row: 805, expected_value: Females, label: sex} + - {column: E, row: 805, expected_value: Total, label: employment type} + - {column: J, row: 805, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 807 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 807, expected_value: E92000001, label: geography} + - {column: D, row: 807, expected_value: Females, label: sex} + - {column: E, row: 807, expected_value: Total, label: employment type} + - {column: J, row: 807, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 809 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 809, expected_value: E92000001, label: geography} + - {column: D, row: 809, expected_value: Females, label: sex} + - {column: E, row: 809, expected_value: Total, label: employment type} + - {column: J, row: 809, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 811 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 811, expected_value: E92000001, label: geography} + - {column: D, row: 811, expected_value: Females, label: sex} + - {column: E, row: 811, expected_value: Total, label: employment type} + - {column: J, row: 811, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 813 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 813, expected_value: E92000001, label: geography} + - {column: D, row: 813, expected_value: Females, label: sex} + - {column: E, row: 813, expected_value: Total, label: employment type} + - {column: J, row: 813, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 815 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 815, expected_value: E92000001, label: geography} + - {column: D, row: 815, expected_value: Females, label: sex} + - {column: E, row: 815, expected_value: Total, label: employment type} + - {column: J, row: 815, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 817 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 817, expected_value: E92000001, label: geography} + - {column: D, row: 817, expected_value: Females, label: sex} + - {column: E, row: 817, expected_value: Total, label: employment type} + - {column: J, row: 817, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 819 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 819, expected_value: E92000001, label: geography} + - {column: D, row: 819, expected_value: Females, label: sex} + - {column: E, row: 819, expected_value: Total, label: employment type} + - {column: J, row: 819, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 821 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 821, expected_value: E92000001, label: geography} + - {column: D, row: 821, expected_value: Females, label: sex} + - {column: E, row: 821, expected_value: Total, label: employment type} + - {column: J, row: 821, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 823 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 823, expected_value: E92000001, label: geography} + - {column: D, row: 823, expected_value: Females, label: sex} + - {column: E, row: 823, expected_value: Total, label: employment type} + - {column: J, row: 823, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 825 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 825, expected_value: E92000001, label: geography} + - {column: D, row: 825, expected_value: Females, label: sex} + - {column: E, row: 825, expected_value: Total, label: employment type} + - {column: J, row: 825, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 827 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 827, expected_value: E92000001, label: geography} + - {column: D, row: 827, expected_value: Females, label: sex} + - {column: E, row: 827, expected_value: Total, label: employment type} + - {column: J, row: 827, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 829 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 829, expected_value: E92000001, label: geography} + - {column: D, row: 829, expected_value: Females, label: sex} + - {column: E, row: 829, expected_value: Total, label: employment type} + - {column: J, row: 829, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 831 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 831, expected_value: E92000001, label: geography} + - {column: D, row: 831, expected_value: Females, label: sex} + - {column: E, row: 831, expected_value: Total, label: employment type} + - {column: J, row: 831, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 833 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 833, expected_value: E92000001, label: geography} + - {column: D, row: 833, expected_value: Females, label: sex} + - {column: E, row: 833, expected_value: Total, label: employment type} + - {column: J, row: 833, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 835 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 835, expected_value: E92000001, label: geography} + - {column: D, row: 835, expected_value: Females, label: sex} + - {column: E, row: 835, expected_value: Total, label: employment type} + - {column: J, row: 835, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 837 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 837, expected_value: E92000001, label: geography} + - {column: D, row: 837, expected_value: Females, label: sex} + - {column: E, row: 837, expected_value: Total, label: employment type} + - {column: J, row: 837, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 839 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 839, expected_value: E92000001, label: geography} + - {column: D, row: 839, expected_value: Females, label: sex} + - {column: E, row: 839, expected_value: Total, label: employment type} + - {column: J, row: 839, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 841 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 841, expected_value: E92000001, label: geography} + - {column: D, row: 841, expected_value: Females, label: sex} + - {column: E, row: 841, expected_value: Total, label: employment type} + - {column: J, row: 841, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 843 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 843, expected_value: E92000001, label: geography} + - {column: D, row: 843, expected_value: Females, label: sex} + - {column: E, row: 843, expected_value: Total, label: employment type} + - {column: J, row: 843, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 845 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 845, expected_value: E92000001, label: geography} + - {column: D, row: 845, expected_value: Females, label: sex} + - {column: E, row: 845, expected_value: Total, label: employment type} + - {column: J, row: 845, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 847 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 847, expected_value: E92000001, label: geography} + - {column: D, row: 847, expected_value: Females, label: sex} + - {column: E, row: 847, expected_value: Total, label: employment type} + - {column: J, row: 847, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 849 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 849, expected_value: E92000001, label: geography} + - {column: D, row: 849, expected_value: Females, label: sex} + - {column: E, row: 849, expected_value: Total, label: employment type} + - {column: J, row: 849, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 851 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 851, expected_value: E92000001, label: geography} + - {column: D, row: 851, expected_value: Females, label: sex} + - {column: E, row: 851, expected_value: Total, label: employment type} + - {column: J, row: 851, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 853 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 853, expected_value: E92000001, label: geography} + - {column: D, row: 853, expected_value: Females, label: sex} + - {column: E, row: 853, expected_value: Total, label: employment type} + - {column: J, row: 853, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 855 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 855, expected_value: E92000001, label: geography} + - {column: D, row: 855, expected_value: Females, label: sex} + - {column: E, row: 855, expected_value: Total, label: employment type} + - {column: J, row: 855, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 857 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 857, expected_value: E92000001, label: geography} + - {column: D, row: 857, expected_value: Females, label: sex} + - {column: E, row: 857, expected_value: Total, label: employment type} + - {column: J, row: 857, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 859 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 859, expected_value: E92000001, label: geography} + - {column: D, row: 859, expected_value: Females, label: sex} + - {column: E, row: 859, expected_value: Total, label: employment type} + - {column: J, row: 859, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 861 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 861, expected_value: E92000001, label: geography} + - {column: D, row: 861, expected_value: Females, label: sex} + - {column: E, row: 861, expected_value: Total, label: employment type} + - {column: J, row: 861, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 863 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 863, expected_value: E92000001, label: geography} + - {column: D, row: 863, expected_value: Females, label: sex} + - {column: E, row: 863, expected_value: Total, label: employment type} + - {column: J, row: 863, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 865 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 865, expected_value: E92000001, label: geography} + - {column: D, row: 865, expected_value: Females, label: sex} + - {column: E, row: 865, expected_value: Total, label: employment type} + - {column: J, row: 865, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1010 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1010, expected_value: E92000001, label: geography} + - {column: D, row: 1010, expected_value: Females, label: sex} + - {column: E, row: 1010, expected_value: Employee, label: employment type} + - {column: J, row: 1010, expected_value: Value, label: measure} + - {column: L, row: 1011, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1012 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1012, expected_value: E92000001, label: geography} + - {column: D, row: 1012, expected_value: Females, label: sex} + - {column: E, row: 1012, expected_value: Employee, label: employment type} + - {column: J, row: 1012, expected_value: Value, label: measure} + - {column: L, row: 1013, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1014 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1014, expected_value: E92000001, label: geography} + - {column: D, row: 1014, expected_value: Females, label: sex} + - {column: E, row: 1014, expected_value: Employee, label: employment type} + - {column: J, row: 1014, expected_value: Value, label: measure} + - {column: L, row: 1015, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1016 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1016, expected_value: E92000001, label: geography} + - {column: D, row: 1016, expected_value: Females, label: sex} + - {column: E, row: 1016, expected_value: Employee, label: employment type} + - {column: J, row: 1016, expected_value: Value, label: measure} + - {column: L, row: 1017, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1018 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1018, expected_value: E92000001, label: geography} + - {column: D, row: 1018, expected_value: Females, label: sex} + - {column: E, row: 1018, expected_value: Employee, label: employment type} + - {column: J, row: 1018, expected_value: Value, label: measure} + - {column: L, row: 1019, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1020 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1020, expected_value: E92000001, label: geography} + - {column: D, row: 1020, expected_value: Females, label: sex} + - {column: E, row: 1020, expected_value: Employee, label: employment type} + - {column: J, row: 1020, expected_value: Value, label: measure} + - {column: L, row: 1021, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1022 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1022, expected_value: E92000001, label: geography} + - {column: D, row: 1022, expected_value: Females, label: sex} + - {column: E, row: 1022, expected_value: Employee, label: employment type} + - {column: J, row: 1022, expected_value: Value, label: measure} + - {column: L, row: 1023, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1024 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1024, expected_value: E92000001, label: geography} + - {column: D, row: 1024, expected_value: Females, label: sex} + - {column: E, row: 1024, expected_value: Employee, label: employment type} + - {column: J, row: 1024, expected_value: Value, label: measure} + - {column: L, row: 1025, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1026 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1026, expected_value: E92000001, label: geography} + - {column: D, row: 1026, expected_value: Females, label: sex} + - {column: E, row: 1026, expected_value: Employee, label: employment type} + - {column: J, row: 1026, expected_value: Value, label: measure} + - {column: L, row: 1027, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1028 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1028, expected_value: E92000001, label: geography} + - {column: D, row: 1028, expected_value: Females, label: sex} + - {column: E, row: 1028, expected_value: Employee, label: employment type} + - {column: J, row: 1028, expected_value: Value, label: measure} + - {column: L, row: 1029, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1030 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1030, expected_value: E92000001, label: geography} + - {column: D, row: 1030, expected_value: Females, label: sex} + - {column: E, row: 1030, expected_value: Employee, label: employment type} + - {column: J, row: 1030, expected_value: Value, label: measure} + - {column: L, row: 1031, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1032 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1032, expected_value: E92000001, label: geography} + - {column: D, row: 1032, expected_value: Females, label: sex} + - {column: E, row: 1032, expected_value: Employee, label: employment type} + - {column: J, row: 1032, expected_value: Value, label: measure} + - {column: L, row: 1033, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1034 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1034, expected_value: E92000001, label: geography} + - {column: D, row: 1034, expected_value: Females, label: sex} + - {column: E, row: 1034, expected_value: Employee, label: employment type} + - {column: J, row: 1034, expected_value: Value, label: measure} + - {column: L, row: 1035, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1036 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1036, expected_value: E92000001, label: geography} + - {column: D, row: 1036, expected_value: Females, label: sex} + - {column: E, row: 1036, expected_value: Employee, label: employment type} + - {column: J, row: 1036, expected_value: Value, label: measure} + - {column: L, row: 1037, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1038 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1038, expected_value: E92000001, label: geography} + - {column: D, row: 1038, expected_value: Females, label: sex} + - {column: E, row: 1038, expected_value: Employee, label: employment type} + - {column: J, row: 1038, expected_value: Value, label: measure} + - {column: L, row: 1039, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1040 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1040, expected_value: E92000001, label: geography} + - {column: D, row: 1040, expected_value: Females, label: sex} + - {column: E, row: 1040, expected_value: Employee, label: employment type} + - {column: J, row: 1040, expected_value: Value, label: measure} + - {column: L, row: 1041, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1042 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1042, expected_value: E92000001, label: geography} + - {column: D, row: 1042, expected_value: Females, label: sex} + - {column: E, row: 1042, expected_value: Employee, label: employment type} + - {column: J, row: 1042, expected_value: Value, label: measure} + - {column: L, row: 1043, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1044 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1044, expected_value: E92000001, label: geography} + - {column: D, row: 1044, expected_value: Females, label: sex} + - {column: E, row: 1044, expected_value: Employee, label: employment type} + - {column: J, row: 1044, expected_value: Value, label: measure} + - {column: L, row: 1045, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1046 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1046, expected_value: E92000001, label: geography} + - {column: D, row: 1046, expected_value: Females, label: sex} + - {column: E, row: 1046, expected_value: Employee, label: employment type} + - {column: J, row: 1046, expected_value: Value, label: measure} + - {column: L, row: 1047, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1048 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1048, expected_value: E92000001, label: geography} + - {column: D, row: 1048, expected_value: Females, label: sex} + - {column: E, row: 1048, expected_value: Employee, label: employment type} + - {column: J, row: 1048, expected_value: Value, label: measure} + - {column: L, row: 1049, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1050 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1050, expected_value: E92000001, label: geography} + - {column: D, row: 1050, expected_value: Females, label: sex} + - {column: E, row: 1050, expected_value: Employee, label: employment type} + - {column: J, row: 1050, expected_value: Value, label: measure} + - {column: L, row: 1051, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1052 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1052, expected_value: E92000001, label: geography} + - {column: D, row: 1052, expected_value: Females, label: sex} + - {column: E, row: 1052, expected_value: Employee, label: employment type} + - {column: J, row: 1052, expected_value: Value, label: measure} + - {column: L, row: 1053, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1054 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1054, expected_value: E92000001, label: geography} + - {column: D, row: 1054, expected_value: Females, label: sex} + - {column: E, row: 1054, expected_value: Employee, label: employment type} + - {column: J, row: 1054, expected_value: Value, label: measure} + - {column: L, row: 1055, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1056 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1056, expected_value: E92000001, label: geography} + - {column: D, row: 1056, expected_value: Females, label: sex} + - {column: E, row: 1056, expected_value: Employee, label: employment type} + - {column: J, row: 1056, expected_value: Value, label: measure} + - {column: L, row: 1057, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1058 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1058, expected_value: E92000001, label: geography} + - {column: D, row: 1058, expected_value: Females, label: sex} + - {column: E, row: 1058, expected_value: Employee, label: employment type} + - {column: J, row: 1058, expected_value: Value, label: measure} + - {column: L, row: 1059, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1060 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1060, expected_value: E92000001, label: geography} + - {column: D, row: 1060, expected_value: Females, label: sex} + - {column: E, row: 1060, expected_value: Employee, label: employment type} + - {column: J, row: 1060, expected_value: Value, label: measure} + - {column: L, row: 1061, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1062 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1062, expected_value: E92000001, label: geography} + - {column: D, row: 1062, expected_value: Females, label: sex} + - {column: E, row: 1062, expected_value: Employee, label: employment type} + - {column: J, row: 1062, expected_value: Value, label: measure} + - {column: L, row: 1063, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1064 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1064, expected_value: E92000001, label: geography} + - {column: D, row: 1064, expected_value: Females, label: sex} + - {column: E, row: 1064, expected_value: Employee, label: employment type} + - {column: J, row: 1064, expected_value: Value, label: measure} + - {column: L, row: 1065, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1066 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1066, expected_value: E92000001, label: geography} + - {column: D, row: 1066, expected_value: Females, label: sex} + - {column: E, row: 1066, expected_value: Employee, label: employment type} + - {column: J, row: 1066, expected_value: Value, label: measure} + - {column: L, row: 1067, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1068 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1068, expected_value: E92000001, label: geography} + - {column: D, row: 1068, expected_value: Females, label: sex} + - {column: E, row: 1068, expected_value: Employee, label: employment type} + - {column: J, row: 1068, expected_value: Value, label: measure} + - {column: L, row: 1069, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1070 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1070, expected_value: E92000001, label: geography} + - {column: D, row: 1070, expected_value: Females, label: sex} + - {column: E, row: 1070, expected_value: Employee, label: employment type} + - {column: J, row: 1070, expected_value: Value, label: measure} + - {column: L, row: 1071, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1072 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1072, expected_value: E92000001, label: geography} + - {column: D, row: 1072, expected_value: Females, label: sex} + - {column: E, row: 1072, expected_value: Employee, label: employment type} + - {column: J, row: 1072, expected_value: Value, label: measure} + - {column: L, row: 1073, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1074 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1074, expected_value: E92000001, label: geography} + - {column: D, row: 1074, expected_value: Females, label: sex} + - {column: E, row: 1074, expected_value: Employee, label: employment type} + - {column: J, row: 1074, expected_value: Value, label: measure} + - {column: L, row: 1075, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1076 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1076, expected_value: E92000001, label: geography} + - {column: D, row: 1076, expected_value: Females, label: sex} + - {column: E, row: 1076, expected_value: Employee, label: employment type} + - {column: J, row: 1076, expected_value: Value, label: measure} + - {column: L, row: 1077, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1078 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1078, expected_value: E92000001, label: geography} + - {column: D, row: 1078, expected_value: Females, label: sex} + - {column: E, row: 1078, expected_value: Employee, label: employment type} + - {column: J, row: 1078, expected_value: Value, label: measure} + - {column: L, row: 1079, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1080 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1080, expected_value: E92000001, label: geography} + - {column: D, row: 1080, expected_value: Females, label: sex} + - {column: E, row: 1080, expected_value: Employee, label: employment type} + - {column: J, row: 1080, expected_value: Value, label: measure} + - {column: L, row: 1081, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1011 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1011, expected_value: E92000001, label: geography} + - {column: D, row: 1011, expected_value: Females, label: sex} + - {column: E, row: 1011, expected_value: Employee, label: employment type} + - {column: J, row: 1011, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1013 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1013, expected_value: E92000001, label: geography} + - {column: D, row: 1013, expected_value: Females, label: sex} + - {column: E, row: 1013, expected_value: Employee, label: employment type} + - {column: J, row: 1013, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1015 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1015, expected_value: E92000001, label: geography} + - {column: D, row: 1015, expected_value: Females, label: sex} + - {column: E, row: 1015, expected_value: Employee, label: employment type} + - {column: J, row: 1015, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1017 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1017, expected_value: E92000001, label: geography} + - {column: D, row: 1017, expected_value: Females, label: sex} + - {column: E, row: 1017, expected_value: Employee, label: employment type} + - {column: J, row: 1017, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1019 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1019, expected_value: E92000001, label: geography} + - {column: D, row: 1019, expected_value: Females, label: sex} + - {column: E, row: 1019, expected_value: Employee, label: employment type} + - {column: J, row: 1019, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1021 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1021, expected_value: E92000001, label: geography} + - {column: D, row: 1021, expected_value: Females, label: sex} + - {column: E, row: 1021, expected_value: Employee, label: employment type} + - {column: J, row: 1021, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1023 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1023, expected_value: E92000001, label: geography} + - {column: D, row: 1023, expected_value: Females, label: sex} + - {column: E, row: 1023, expected_value: Employee, label: employment type} + - {column: J, row: 1023, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1025 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1025, expected_value: E92000001, label: geography} + - {column: D, row: 1025, expected_value: Females, label: sex} + - {column: E, row: 1025, expected_value: Employee, label: employment type} + - {column: J, row: 1025, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1027 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1027, expected_value: E92000001, label: geography} + - {column: D, row: 1027, expected_value: Females, label: sex} + - {column: E, row: 1027, expected_value: Employee, label: employment type} + - {column: J, row: 1027, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1029 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1029, expected_value: E92000001, label: geography} + - {column: D, row: 1029, expected_value: Females, label: sex} + - {column: E, row: 1029, expected_value: Employee, label: employment type} + - {column: J, row: 1029, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1031 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1031, expected_value: E92000001, label: geography} + - {column: D, row: 1031, expected_value: Females, label: sex} + - {column: E, row: 1031, expected_value: Employee, label: employment type} + - {column: J, row: 1031, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1033 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1033, expected_value: E92000001, label: geography} + - {column: D, row: 1033, expected_value: Females, label: sex} + - {column: E, row: 1033, expected_value: Employee, label: employment type} + - {column: J, row: 1033, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1035 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1035, expected_value: E92000001, label: geography} + - {column: D, row: 1035, expected_value: Females, label: sex} + - {column: E, row: 1035, expected_value: Employee, label: employment type} + - {column: J, row: 1035, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1037 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1037, expected_value: E92000001, label: geography} + - {column: D, row: 1037, expected_value: Females, label: sex} + - {column: E, row: 1037, expected_value: Employee, label: employment type} + - {column: J, row: 1037, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1039 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1039, expected_value: E92000001, label: geography} + - {column: D, row: 1039, expected_value: Females, label: sex} + - {column: E, row: 1039, expected_value: Employee, label: employment type} + - {column: J, row: 1039, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1041 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1041, expected_value: E92000001, label: geography} + - {column: D, row: 1041, expected_value: Females, label: sex} + - {column: E, row: 1041, expected_value: Employee, label: employment type} + - {column: J, row: 1041, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1043 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1043, expected_value: E92000001, label: geography} + - {column: D, row: 1043, expected_value: Females, label: sex} + - {column: E, row: 1043, expected_value: Employee, label: employment type} + - {column: J, row: 1043, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1045 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1045, expected_value: E92000001, label: geography} + - {column: D, row: 1045, expected_value: Females, label: sex} + - {column: E, row: 1045, expected_value: Employee, label: employment type} + - {column: J, row: 1045, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1047 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1047, expected_value: E92000001, label: geography} + - {column: D, row: 1047, expected_value: Females, label: sex} + - {column: E, row: 1047, expected_value: Employee, label: employment type} + - {column: J, row: 1047, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1049 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1049, expected_value: E92000001, label: geography} + - {column: D, row: 1049, expected_value: Females, label: sex} + - {column: E, row: 1049, expected_value: Employee, label: employment type} + - {column: J, row: 1049, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1051 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1051, expected_value: E92000001, label: geography} + - {column: D, row: 1051, expected_value: Females, label: sex} + - {column: E, row: 1051, expected_value: Employee, label: employment type} + - {column: J, row: 1051, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1053 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1053, expected_value: E92000001, label: geography} + - {column: D, row: 1053, expected_value: Females, label: sex} + - {column: E, row: 1053, expected_value: Employee, label: employment type} + - {column: J, row: 1053, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1055 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1055, expected_value: E92000001, label: geography} + - {column: D, row: 1055, expected_value: Females, label: sex} + - {column: E, row: 1055, expected_value: Employee, label: employment type} + - {column: J, row: 1055, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1057 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1057, expected_value: E92000001, label: geography} + - {column: D, row: 1057, expected_value: Females, label: sex} + - {column: E, row: 1057, expected_value: Employee, label: employment type} + - {column: J, row: 1057, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1059 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1059, expected_value: E92000001, label: geography} + - {column: D, row: 1059, expected_value: Females, label: sex} + - {column: E, row: 1059, expected_value: Employee, label: employment type} + - {column: J, row: 1059, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1061 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1061, expected_value: E92000001, label: geography} + - {column: D, row: 1061, expected_value: Females, label: sex} + - {column: E, row: 1061, expected_value: Employee, label: employment type} + - {column: J, row: 1061, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1063 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1063, expected_value: E92000001, label: geography} + - {column: D, row: 1063, expected_value: Females, label: sex} + - {column: E, row: 1063, expected_value: Employee, label: employment type} + - {column: J, row: 1063, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1065 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1065, expected_value: E92000001, label: geography} + - {column: D, row: 1065, expected_value: Females, label: sex} + - {column: E, row: 1065, expected_value: Employee, label: employment type} + - {column: J, row: 1065, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1067 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1067, expected_value: E92000001, label: geography} + - {column: D, row: 1067, expected_value: Females, label: sex} + - {column: E, row: 1067, expected_value: Employee, label: employment type} + - {column: J, row: 1067, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1069 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1069, expected_value: E92000001, label: geography} + - {column: D, row: 1069, expected_value: Females, label: sex} + - {column: E, row: 1069, expected_value: Employee, label: employment type} + - {column: J, row: 1069, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1071 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1071, expected_value: E92000001, label: geography} + - {column: D, row: 1071, expected_value: Females, label: sex} + - {column: E, row: 1071, expected_value: Employee, label: employment type} + - {column: J, row: 1071, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1073 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1073, expected_value: E92000001, label: geography} + - {column: D, row: 1073, expected_value: Females, label: sex} + - {column: E, row: 1073, expected_value: Employee, label: employment type} + - {column: J, row: 1073, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1075 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1075, expected_value: E92000001, label: geography} + - {column: D, row: 1075, expected_value: Females, label: sex} + - {column: E, row: 1075, expected_value: Employee, label: employment type} + - {column: J, row: 1075, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1077 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1077, expected_value: E92000001, label: geography} + - {column: D, row: 1077, expected_value: Females, label: sex} + - {column: E, row: 1077, expected_value: Employee, label: employment type} + - {column: J, row: 1077, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1079 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1079, expected_value: E92000001, label: geography} + - {column: D, row: 1079, expected_value: Females, label: sex} + - {column: E, row: 1079, expected_value: Employee, label: employment type} + - {column: J, row: 1079, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1081 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1081, expected_value: E92000001, label: geography} + - {column: D, row: 1081, expected_value: Females, label: sex} + - {column: E, row: 1081, expected_value: Employee, label: employment type} + - {column: J, row: 1081, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1226 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1226, expected_value: E92000001, label: geography} + - {column: D, row: 1226, expected_value: Females, label: sex} + - {column: E, row: 1226, expected_value: Self-employed, label: employment type} + - {column: J, row: 1226, expected_value: Value, label: measure} + - {column: L, row: 1227, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1228 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1228, expected_value: E92000001, label: geography} + - {column: D, row: 1228, expected_value: Females, label: sex} + - {column: E, row: 1228, expected_value: Self-employed, label: employment type} + - {column: J, row: 1228, expected_value: Value, label: measure} + - {column: L, row: 1229, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1230 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1230, expected_value: E92000001, label: geography} + - {column: D, row: 1230, expected_value: Females, label: sex} + - {column: E, row: 1230, expected_value: Self-employed, label: employment type} + - {column: J, row: 1230, expected_value: Value, label: measure} + - {column: L, row: 1231, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1232 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1232, expected_value: E92000001, label: geography} + - {column: D, row: 1232, expected_value: Females, label: sex} + - {column: E, row: 1232, expected_value: Self-employed, label: employment type} + - {column: J, row: 1232, expected_value: Value, label: measure} + - {column: L, row: 1233, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1234 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1234, expected_value: E92000001, label: geography} + - {column: D, row: 1234, expected_value: Females, label: sex} + - {column: E, row: 1234, expected_value: Self-employed, label: employment type} + - {column: J, row: 1234, expected_value: Value, label: measure} + - {column: L, row: 1235, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1236 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1236, expected_value: E92000001, label: geography} + - {column: D, row: 1236, expected_value: Females, label: sex} + - {column: E, row: 1236, expected_value: Self-employed, label: employment type} + - {column: J, row: 1236, expected_value: Value, label: measure} + - {column: L, row: 1237, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1238 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1238, expected_value: E92000001, label: geography} + - {column: D, row: 1238, expected_value: Females, label: sex} + - {column: E, row: 1238, expected_value: Self-employed, label: employment type} + - {column: J, row: 1238, expected_value: Value, label: measure} + - {column: L, row: 1239, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1240 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1240, expected_value: E92000001, label: geography} + - {column: D, row: 1240, expected_value: Females, label: sex} + - {column: E, row: 1240, expected_value: Self-employed, label: employment type} + - {column: J, row: 1240, expected_value: Value, label: measure} + - {column: L, row: 1241, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1242 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1242, expected_value: E92000001, label: geography} + - {column: D, row: 1242, expected_value: Females, label: sex} + - {column: E, row: 1242, expected_value: Self-employed, label: employment type} + - {column: J, row: 1242, expected_value: Value, label: measure} + - {column: L, row: 1243, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1244 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1244, expected_value: E92000001, label: geography} + - {column: D, row: 1244, expected_value: Females, label: sex} + - {column: E, row: 1244, expected_value: Self-employed, label: employment type} + - {column: J, row: 1244, expected_value: Value, label: measure} + - {column: L, row: 1245, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1246 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1246, expected_value: E92000001, label: geography} + - {column: D, row: 1246, expected_value: Females, label: sex} + - {column: E, row: 1246, expected_value: Self-employed, label: employment type} + - {column: J, row: 1246, expected_value: Value, label: measure} + - {column: L, row: 1247, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1248 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1248, expected_value: E92000001, label: geography} + - {column: D, row: 1248, expected_value: Females, label: sex} + - {column: E, row: 1248, expected_value: Self-employed, label: employment type} + - {column: J, row: 1248, expected_value: Value, label: measure} + - {column: L, row: 1249, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1252 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1252, expected_value: E92000001, label: geography} + - {column: D, row: 1252, expected_value: Females, label: sex} + - {column: E, row: 1252, expected_value: Self-employed, label: employment type} + - {column: J, row: 1252, expected_value: Value, label: measure} + - {column: L, row: 1253, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1254 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1254, expected_value: E92000001, label: geography} + - {column: D, row: 1254, expected_value: Females, label: sex} + - {column: E, row: 1254, expected_value: Self-employed, label: employment type} + - {column: J, row: 1254, expected_value: Value, label: measure} + - {column: L, row: 1255, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1256 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1256, expected_value: E92000001, label: geography} + - {column: D, row: 1256, expected_value: Females, label: sex} + - {column: E, row: 1256, expected_value: Self-employed, label: employment type} + - {column: J, row: 1256, expected_value: Value, label: measure} + - {column: L, row: 1257, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1258 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1258, expected_value: E92000001, label: geography} + - {column: D, row: 1258, expected_value: Females, label: sex} + - {column: E, row: 1258, expected_value: Self-employed, label: employment type} + - {column: J, row: 1258, expected_value: Value, label: measure} + - {column: L, row: 1259, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1260 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1260, expected_value: E92000001, label: geography} + - {column: D, row: 1260, expected_value: Females, label: sex} + - {column: E, row: 1260, expected_value: Self-employed, label: employment type} + - {column: J, row: 1260, expected_value: Value, label: measure} + - {column: L, row: 1261, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1262 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1262, expected_value: E92000001, label: geography} + - {column: D, row: 1262, expected_value: Females, label: sex} + - {column: E, row: 1262, expected_value: Self-employed, label: employment type} + - {column: J, row: 1262, expected_value: Value, label: measure} + - {column: L, row: 1263, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1264 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1264, expected_value: E92000001, label: geography} + - {column: D, row: 1264, expected_value: Females, label: sex} + - {column: E, row: 1264, expected_value: Self-employed, label: employment type} + - {column: J, row: 1264, expected_value: Value, label: measure} + - {column: L, row: 1265, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1266 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1266, expected_value: E92000001, label: geography} + - {column: D, row: 1266, expected_value: Females, label: sex} + - {column: E, row: 1266, expected_value: Self-employed, label: employment type} + - {column: J, row: 1266, expected_value: Value, label: measure} + - {column: L, row: 1267, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1268 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1268, expected_value: E92000001, label: geography} + - {column: D, row: 1268, expected_value: Females, label: sex} + - {column: E, row: 1268, expected_value: Self-employed, label: employment type} + - {column: J, row: 1268, expected_value: Value, label: measure} + - {column: L, row: 1269, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1270 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1270, expected_value: E92000001, label: geography} + - {column: D, row: 1270, expected_value: Females, label: sex} + - {column: E, row: 1270, expected_value: Self-employed, label: employment type} + - {column: J, row: 1270, expected_value: Value, label: measure} + - {column: L, row: 1271, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1272 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1272, expected_value: E92000001, label: geography} + - {column: D, row: 1272, expected_value: Females, label: sex} + - {column: E, row: 1272, expected_value: Self-employed, label: employment type} + - {column: J, row: 1272, expected_value: Value, label: measure} + - {column: L, row: 1273, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1274 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1274, expected_value: E92000001, label: geography} + - {column: D, row: 1274, expected_value: Females, label: sex} + - {column: E, row: 1274, expected_value: Self-employed, label: employment type} + - {column: J, row: 1274, expected_value: Value, label: measure} + - {column: L, row: 1275, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1276 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1276, expected_value: E92000001, label: geography} + - {column: D, row: 1276, expected_value: Females, label: sex} + - {column: E, row: 1276, expected_value: Self-employed, label: employment type} + - {column: J, row: 1276, expected_value: Value, label: measure} + - {column: L, row: 1277, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1280 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1280, expected_value: E92000001, label: geography} + - {column: D, row: 1280, expected_value: Females, label: sex} + - {column: E, row: 1280, expected_value: Self-employed, label: employment type} + - {column: J, row: 1280, expected_value: Value, label: measure} + - {column: L, row: 1281, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1282 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1282, expected_value: E92000001, label: geography} + - {column: D, row: 1282, expected_value: Females, label: sex} + - {column: E, row: 1282, expected_value: Self-employed, label: employment type} + - {column: J, row: 1282, expected_value: Value, label: measure} + - {column: L, row: 1283, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1284 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1284, expected_value: E92000001, label: geography} + - {column: D, row: 1284, expected_value: Females, label: sex} + - {column: E, row: 1284, expected_value: Self-employed, label: employment type} + - {column: J, row: 1284, expected_value: Value, label: measure} + - {column: L, row: 1285, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1286 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1286, expected_value: E92000001, label: geography} + - {column: D, row: 1286, expected_value: Females, label: sex} + - {column: E, row: 1286, expected_value: Self-employed, label: employment type} + - {column: J, row: 1286, expected_value: Value, label: measure} + - {column: L, row: 1287, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1288 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1288, expected_value: E92000001, label: geography} + - {column: D, row: 1288, expected_value: Females, label: sex} + - {column: E, row: 1288, expected_value: Self-employed, label: employment type} + - {column: J, row: 1288, expected_value: Value, label: measure} + - {column: L, row: 1289, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1290 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1290, expected_value: E92000001, label: geography} + - {column: D, row: 1290, expected_value: Females, label: sex} + - {column: E, row: 1290, expected_value: Self-employed, label: employment type} + - {column: J, row: 1290, expected_value: Value, label: measure} + - {column: L, row: 1291, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1292 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1292, expected_value: E92000001, label: geography} + - {column: D, row: 1292, expected_value: Females, label: sex} + - {column: E, row: 1292, expected_value: Self-employed, label: employment type} + - {column: J, row: 1292, expected_value: Value, label: measure} + - {column: L, row: 1293, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1294 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1294, expected_value: E92000001, label: geography} + - {column: D, row: 1294, expected_value: Females, label: sex} + - {column: E, row: 1294, expected_value: Self-employed, label: employment type} + - {column: J, row: 1294, expected_value: Value, label: measure} + - {column: L, row: 1295, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1296 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1296, expected_value: E92000001, label: geography} + - {column: D, row: 1296, expected_value: Females, label: sex} + - {column: E, row: 1296, expected_value: Self-employed, label: employment type} + - {column: J, row: 1296, expected_value: Value, label: measure} + - {column: L, row: 1297, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e92000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1227 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1227, expected_value: E92000001, label: geography} + - {column: D, row: 1227, expected_value: Females, label: sex} + - {column: E, row: 1227, expected_value: Self-employed, label: employment type} + - {column: J, row: 1227, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1229 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1229, expected_value: E92000001, label: geography} + - {column: D, row: 1229, expected_value: Females, label: sex} + - {column: E, row: 1229, expected_value: Self-employed, label: employment type} + - {column: J, row: 1229, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1231 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1231, expected_value: E92000001, label: geography} + - {column: D, row: 1231, expected_value: Females, label: sex} + - {column: E, row: 1231, expected_value: Self-employed, label: employment type} + - {column: J, row: 1231, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1233 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1233, expected_value: E92000001, label: geography} + - {column: D, row: 1233, expected_value: Females, label: sex} + - {column: E, row: 1233, expected_value: Self-employed, label: employment type} + - {column: J, row: 1233, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1235 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1235, expected_value: E92000001, label: geography} + - {column: D, row: 1235, expected_value: Females, label: sex} + - {column: E, row: 1235, expected_value: Self-employed, label: employment type} + - {column: J, row: 1235, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1237 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1237, expected_value: E92000001, label: geography} + - {column: D, row: 1237, expected_value: Females, label: sex} + - {column: E, row: 1237, expected_value: Self-employed, label: employment type} + - {column: J, row: 1237, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1239 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1239, expected_value: E92000001, label: geography} + - {column: D, row: 1239, expected_value: Females, label: sex} + - {column: E, row: 1239, expected_value: Self-employed, label: employment type} + - {column: J, row: 1239, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1241 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1241, expected_value: E92000001, label: geography} + - {column: D, row: 1241, expected_value: Females, label: sex} + - {column: E, row: 1241, expected_value: Self-employed, label: employment type} + - {column: J, row: 1241, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1243 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1243, expected_value: E92000001, label: geography} + - {column: D, row: 1243, expected_value: Females, label: sex} + - {column: E, row: 1243, expected_value: Self-employed, label: employment type} + - {column: J, row: 1243, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1245 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1245, expected_value: E92000001, label: geography} + - {column: D, row: 1245, expected_value: Females, label: sex} + - {column: E, row: 1245, expected_value: Self-employed, label: employment type} + - {column: J, row: 1245, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1249 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1249, expected_value: E92000001, label: geography} + - {column: D, row: 1249, expected_value: Females, label: sex} + - {column: E, row: 1249, expected_value: Self-employed, label: employment type} + - {column: J, row: 1249, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1253 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1253, expected_value: E92000001, label: geography} + - {column: D, row: 1253, expected_value: Females, label: sex} + - {column: E, row: 1253, expected_value: Self-employed, label: employment type} + - {column: J, row: 1253, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1255 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1255, expected_value: E92000001, label: geography} + - {column: D, row: 1255, expected_value: Females, label: sex} + - {column: E, row: 1255, expected_value: Self-employed, label: employment type} + - {column: J, row: 1255, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1257 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1257, expected_value: E92000001, label: geography} + - {column: D, row: 1257, expected_value: Females, label: sex} + - {column: E, row: 1257, expected_value: Self-employed, label: employment type} + - {column: J, row: 1257, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1259 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1259, expected_value: E92000001, label: geography} + - {column: D, row: 1259, expected_value: Females, label: sex} + - {column: E, row: 1259, expected_value: Self-employed, label: employment type} + - {column: J, row: 1259, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1261 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1261, expected_value: E92000001, label: geography} + - {column: D, row: 1261, expected_value: Females, label: sex} + - {column: E, row: 1261, expected_value: Self-employed, label: employment type} + - {column: J, row: 1261, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1263 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1263, expected_value: E92000001, label: geography} + - {column: D, row: 1263, expected_value: Females, label: sex} + - {column: E, row: 1263, expected_value: Self-employed, label: employment type} + - {column: J, row: 1263, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1265 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1265, expected_value: E92000001, label: geography} + - {column: D, row: 1265, expected_value: Females, label: sex} + - {column: E, row: 1265, expected_value: Self-employed, label: employment type} + - {column: J, row: 1265, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1269 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1269, expected_value: E92000001, label: geography} + - {column: D, row: 1269, expected_value: Females, label: sex} + - {column: E, row: 1269, expected_value: Self-employed, label: employment type} + - {column: J, row: 1269, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1271 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1271, expected_value: E92000001, label: geography} + - {column: D, row: 1271, expected_value: Females, label: sex} + - {column: E, row: 1271, expected_value: Self-employed, label: employment type} + - {column: J, row: 1271, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1273 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1273, expected_value: E92000001, label: geography} + - {column: D, row: 1273, expected_value: Females, label: sex} + - {column: E, row: 1273, expected_value: Self-employed, label: employment type} + - {column: J, row: 1273, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1275 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1275, expected_value: E92000001, label: geography} + - {column: D, row: 1275, expected_value: Females, label: sex} + - {column: E, row: 1275, expected_value: Self-employed, label: employment type} + - {column: J, row: 1275, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1277 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1277, expected_value: E92000001, label: geography} + - {column: D, row: 1277, expected_value: Females, label: sex} + - {column: E, row: 1277, expected_value: Self-employed, label: employment type} + - {column: J, row: 1277, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1281 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1281, expected_value: E92000001, label: geography} + - {column: D, row: 1281, expected_value: Females, label: sex} + - {column: E, row: 1281, expected_value: Self-employed, label: employment type} + - {column: J, row: 1281, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1283 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1283, expected_value: E92000001, label: geography} + - {column: D, row: 1283, expected_value: Females, label: sex} + - {column: E, row: 1283, expected_value: Self-employed, label: employment type} + - {column: J, row: 1283, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1287 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1287, expected_value: E92000001, label: geography} + - {column: D, row: 1287, expected_value: Females, label: sex} + - {column: E, row: 1287, expected_value: Self-employed, label: employment type} + - {column: J, row: 1287, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1289 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1289, expected_value: E92000001, label: geography} + - {column: D, row: 1289, expected_value: Females, label: sex} + - {column: E, row: 1289, expected_value: Self-employed, label: employment type} + - {column: J, row: 1289, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1291 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1291, expected_value: E92000001, label: geography} + - {column: D, row: 1291, expected_value: Females, label: sex} + - {column: E, row: 1291, expected_value: Self-employed, label: employment type} + - {column: J, row: 1291, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1293 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1293, expected_value: E92000001, label: geography} + - {column: D, row: 1293, expected_value: Females, label: sex} + - {column: E, row: 1293, expected_value: Self-employed, label: employment type} + - {column: J, row: 1293, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1297 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1297, expected_value: E92000001, label: geography} + - {column: D, row: 1297, expected_value: Females, label: sex} + - {column: E, row: 1297, expected_value: Self-employed, label: employment type} + - {column: J, row: 1297, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1298 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1298, expected_value: W92000004, label: geography} + - {column: D, row: 1298, expected_value: All persons, label: sex} + - {column: E, row: 1298, expected_value: Total, label: employment type} + - {column: J, row: 1298, expected_value: Value, label: measure} + - {column: L, row: 1299, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1300 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1300, expected_value: W92000004, label: geography} + - {column: D, row: 1300, expected_value: All persons, label: sex} + - {column: E, row: 1300, expected_value: Total, label: employment type} + - {column: J, row: 1300, expected_value: Value, label: measure} + - {column: L, row: 1301, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1302 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1302, expected_value: W92000004, label: geography} + - {column: D, row: 1302, expected_value: All persons, label: sex} + - {column: E, row: 1302, expected_value: Total, label: employment type} + - {column: J, row: 1302, expected_value: Value, label: measure} + - {column: L, row: 1303, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1304 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1304, expected_value: W92000004, label: geography} + - {column: D, row: 1304, expected_value: All persons, label: sex} + - {column: E, row: 1304, expected_value: Total, label: employment type} + - {column: J, row: 1304, expected_value: Value, label: measure} + - {column: L, row: 1305, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1306 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1306, expected_value: W92000004, label: geography} + - {column: D, row: 1306, expected_value: All persons, label: sex} + - {column: E, row: 1306, expected_value: Total, label: employment type} + - {column: J, row: 1306, expected_value: Value, label: measure} + - {column: L, row: 1307, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1308 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1308, expected_value: W92000004, label: geography} + - {column: D, row: 1308, expected_value: All persons, label: sex} + - {column: E, row: 1308, expected_value: Total, label: employment type} + - {column: J, row: 1308, expected_value: Value, label: measure} + - {column: L, row: 1309, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1310 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1310, expected_value: W92000004, label: geography} + - {column: D, row: 1310, expected_value: All persons, label: sex} + - {column: E, row: 1310, expected_value: Total, label: employment type} + - {column: J, row: 1310, expected_value: Value, label: measure} + - {column: L, row: 1311, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1312 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1312, expected_value: W92000004, label: geography} + - {column: D, row: 1312, expected_value: All persons, label: sex} + - {column: E, row: 1312, expected_value: Total, label: employment type} + - {column: J, row: 1312, expected_value: Value, label: measure} + - {column: L, row: 1313, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1314 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1314, expected_value: W92000004, label: geography} + - {column: D, row: 1314, expected_value: All persons, label: sex} + - {column: E, row: 1314, expected_value: Total, label: employment type} + - {column: J, row: 1314, expected_value: Value, label: measure} + - {column: L, row: 1315, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1316 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1316, expected_value: W92000004, label: geography} + - {column: D, row: 1316, expected_value: All persons, label: sex} + - {column: E, row: 1316, expected_value: Total, label: employment type} + - {column: J, row: 1316, expected_value: Value, label: measure} + - {column: L, row: 1317, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1318 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1318, expected_value: W92000004, label: geography} + - {column: D, row: 1318, expected_value: All persons, label: sex} + - {column: E, row: 1318, expected_value: Total, label: employment type} + - {column: J, row: 1318, expected_value: Value, label: measure} + - {column: L, row: 1319, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1320 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1320, expected_value: W92000004, label: geography} + - {column: D, row: 1320, expected_value: All persons, label: sex} + - {column: E, row: 1320, expected_value: Total, label: employment type} + - {column: J, row: 1320, expected_value: Value, label: measure} + - {column: L, row: 1321, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1322 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1322, expected_value: W92000004, label: geography} + - {column: D, row: 1322, expected_value: All persons, label: sex} + - {column: E, row: 1322, expected_value: Total, label: employment type} + - {column: J, row: 1322, expected_value: Value, label: measure} + - {column: L, row: 1323, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1324 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1324, expected_value: W92000004, label: geography} + - {column: D, row: 1324, expected_value: All persons, label: sex} + - {column: E, row: 1324, expected_value: Total, label: employment type} + - {column: J, row: 1324, expected_value: Value, label: measure} + - {column: L, row: 1325, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1326 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1326, expected_value: W92000004, label: geography} + - {column: D, row: 1326, expected_value: All persons, label: sex} + - {column: E, row: 1326, expected_value: Total, label: employment type} + - {column: J, row: 1326, expected_value: Value, label: measure} + - {column: L, row: 1327, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1328 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1328, expected_value: W92000004, label: geography} + - {column: D, row: 1328, expected_value: All persons, label: sex} + - {column: E, row: 1328, expected_value: Total, label: employment type} + - {column: J, row: 1328, expected_value: Value, label: measure} + - {column: L, row: 1329, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1330 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1330, expected_value: W92000004, label: geography} + - {column: D, row: 1330, expected_value: All persons, label: sex} + - {column: E, row: 1330, expected_value: Total, label: employment type} + - {column: J, row: 1330, expected_value: Value, label: measure} + - {column: L, row: 1331, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1332 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1332, expected_value: W92000004, label: geography} + - {column: D, row: 1332, expected_value: All persons, label: sex} + - {column: E, row: 1332, expected_value: Total, label: employment type} + - {column: J, row: 1332, expected_value: Value, label: measure} + - {column: L, row: 1333, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1334 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1334, expected_value: W92000004, label: geography} + - {column: D, row: 1334, expected_value: All persons, label: sex} + - {column: E, row: 1334, expected_value: Total, label: employment type} + - {column: J, row: 1334, expected_value: Value, label: measure} + - {column: L, row: 1335, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1336 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1336, expected_value: W92000004, label: geography} + - {column: D, row: 1336, expected_value: All persons, label: sex} + - {column: E, row: 1336, expected_value: Total, label: employment type} + - {column: J, row: 1336, expected_value: Value, label: measure} + - {column: L, row: 1337, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1338 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1338, expected_value: W92000004, label: geography} + - {column: D, row: 1338, expected_value: All persons, label: sex} + - {column: E, row: 1338, expected_value: Total, label: employment type} + - {column: J, row: 1338, expected_value: Value, label: measure} + - {column: L, row: 1339, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1340 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1340, expected_value: W92000004, label: geography} + - {column: D, row: 1340, expected_value: All persons, label: sex} + - {column: E, row: 1340, expected_value: Total, label: employment type} + - {column: J, row: 1340, expected_value: Value, label: measure} + - {column: L, row: 1341, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1342 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1342, expected_value: W92000004, label: geography} + - {column: D, row: 1342, expected_value: All persons, label: sex} + - {column: E, row: 1342, expected_value: Total, label: employment type} + - {column: J, row: 1342, expected_value: Value, label: measure} + - {column: L, row: 1343, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1344 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1344, expected_value: W92000004, label: geography} + - {column: D, row: 1344, expected_value: All persons, label: sex} + - {column: E, row: 1344, expected_value: Total, label: employment type} + - {column: J, row: 1344, expected_value: Value, label: measure} + - {column: L, row: 1345, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1346 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1346, expected_value: W92000004, label: geography} + - {column: D, row: 1346, expected_value: All persons, label: sex} + - {column: E, row: 1346, expected_value: Total, label: employment type} + - {column: J, row: 1346, expected_value: Value, label: measure} + - {column: L, row: 1347, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1348 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1348, expected_value: W92000004, label: geography} + - {column: D, row: 1348, expected_value: All persons, label: sex} + - {column: E, row: 1348, expected_value: Total, label: employment type} + - {column: J, row: 1348, expected_value: Value, label: measure} + - {column: L, row: 1349, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1350 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1350, expected_value: W92000004, label: geography} + - {column: D, row: 1350, expected_value: All persons, label: sex} + - {column: E, row: 1350, expected_value: Total, label: employment type} + - {column: J, row: 1350, expected_value: Value, label: measure} + - {column: L, row: 1351, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1352 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1352, expected_value: W92000004, label: geography} + - {column: D, row: 1352, expected_value: All persons, label: sex} + - {column: E, row: 1352, expected_value: Total, label: employment type} + - {column: J, row: 1352, expected_value: Value, label: measure} + - {column: L, row: 1353, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1354 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1354, expected_value: W92000004, label: geography} + - {column: D, row: 1354, expected_value: All persons, label: sex} + - {column: E, row: 1354, expected_value: Total, label: employment type} + - {column: J, row: 1354, expected_value: Value, label: measure} + - {column: L, row: 1355, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1356 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1356, expected_value: W92000004, label: geography} + - {column: D, row: 1356, expected_value: All persons, label: sex} + - {column: E, row: 1356, expected_value: Total, label: employment type} + - {column: J, row: 1356, expected_value: Value, label: measure} + - {column: L, row: 1357, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1358 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1358, expected_value: W92000004, label: geography} + - {column: D, row: 1358, expected_value: All persons, label: sex} + - {column: E, row: 1358, expected_value: Total, label: employment type} + - {column: J, row: 1358, expected_value: Value, label: measure} + - {column: L, row: 1359, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1360 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1360, expected_value: W92000004, label: geography} + - {column: D, row: 1360, expected_value: All persons, label: sex} + - {column: E, row: 1360, expected_value: Total, label: employment type} + - {column: J, row: 1360, expected_value: Value, label: measure} + - {column: L, row: 1361, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1362 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1362, expected_value: W92000004, label: geography} + - {column: D, row: 1362, expected_value: All persons, label: sex} + - {column: E, row: 1362, expected_value: Total, label: employment type} + - {column: J, row: 1362, expected_value: Value, label: measure} + - {column: L, row: 1363, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1364 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1364, expected_value: W92000004, label: geography} + - {column: D, row: 1364, expected_value: All persons, label: sex} + - {column: E, row: 1364, expected_value: Total, label: employment type} + - {column: J, row: 1364, expected_value: Value, label: measure} + - {column: L, row: 1365, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1366 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1366, expected_value: W92000004, label: geography} + - {column: D, row: 1366, expected_value: All persons, label: sex} + - {column: E, row: 1366, expected_value: Total, label: employment type} + - {column: J, row: 1366, expected_value: Value, label: measure} + - {column: L, row: 1367, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1368 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1368, expected_value: W92000004, label: geography} + - {column: D, row: 1368, expected_value: All persons, label: sex} + - {column: E, row: 1368, expected_value: Total, label: employment type} + - {column: J, row: 1368, expected_value: Value, label: measure} + - {column: L, row: 1369, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1299 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1299, expected_value: W92000004, label: geography} + - {column: D, row: 1299, expected_value: All persons, label: sex} + - {column: E, row: 1299, expected_value: Total, label: employment type} + - {column: J, row: 1299, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1301 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1301, expected_value: W92000004, label: geography} + - {column: D, row: 1301, expected_value: All persons, label: sex} + - {column: E, row: 1301, expected_value: Total, label: employment type} + - {column: J, row: 1301, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1303 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1303, expected_value: W92000004, label: geography} + - {column: D, row: 1303, expected_value: All persons, label: sex} + - {column: E, row: 1303, expected_value: Total, label: employment type} + - {column: J, row: 1303, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1305 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1305, expected_value: W92000004, label: geography} + - {column: D, row: 1305, expected_value: All persons, label: sex} + - {column: E, row: 1305, expected_value: Total, label: employment type} + - {column: J, row: 1305, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1307 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1307, expected_value: W92000004, label: geography} + - {column: D, row: 1307, expected_value: All persons, label: sex} + - {column: E, row: 1307, expected_value: Total, label: employment type} + - {column: J, row: 1307, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1309 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1309, expected_value: W92000004, label: geography} + - {column: D, row: 1309, expected_value: All persons, label: sex} + - {column: E, row: 1309, expected_value: Total, label: employment type} + - {column: J, row: 1309, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1311 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1311, expected_value: W92000004, label: geography} + - {column: D, row: 1311, expected_value: All persons, label: sex} + - {column: E, row: 1311, expected_value: Total, label: employment type} + - {column: J, row: 1311, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1313 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1313, expected_value: W92000004, label: geography} + - {column: D, row: 1313, expected_value: All persons, label: sex} + - {column: E, row: 1313, expected_value: Total, label: employment type} + - {column: J, row: 1313, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1315 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1315, expected_value: W92000004, label: geography} + - {column: D, row: 1315, expected_value: All persons, label: sex} + - {column: E, row: 1315, expected_value: Total, label: employment type} + - {column: J, row: 1315, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1317 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1317, expected_value: W92000004, label: geography} + - {column: D, row: 1317, expected_value: All persons, label: sex} + - {column: E, row: 1317, expected_value: Total, label: employment type} + - {column: J, row: 1317, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1319 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1319, expected_value: W92000004, label: geography} + - {column: D, row: 1319, expected_value: All persons, label: sex} + - {column: E, row: 1319, expected_value: Total, label: employment type} + - {column: J, row: 1319, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1321 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1321, expected_value: W92000004, label: geography} + - {column: D, row: 1321, expected_value: All persons, label: sex} + - {column: E, row: 1321, expected_value: Total, label: employment type} + - {column: J, row: 1321, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1323 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1323, expected_value: W92000004, label: geography} + - {column: D, row: 1323, expected_value: All persons, label: sex} + - {column: E, row: 1323, expected_value: Total, label: employment type} + - {column: J, row: 1323, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1325 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1325, expected_value: W92000004, label: geography} + - {column: D, row: 1325, expected_value: All persons, label: sex} + - {column: E, row: 1325, expected_value: Total, label: employment type} + - {column: J, row: 1325, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1327 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1327, expected_value: W92000004, label: geography} + - {column: D, row: 1327, expected_value: All persons, label: sex} + - {column: E, row: 1327, expected_value: Total, label: employment type} + - {column: J, row: 1327, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1329 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1329, expected_value: W92000004, label: geography} + - {column: D, row: 1329, expected_value: All persons, label: sex} + - {column: E, row: 1329, expected_value: Total, label: employment type} + - {column: J, row: 1329, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1331 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1331, expected_value: W92000004, label: geography} + - {column: D, row: 1331, expected_value: All persons, label: sex} + - {column: E, row: 1331, expected_value: Total, label: employment type} + - {column: J, row: 1331, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1333 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1333, expected_value: W92000004, label: geography} + - {column: D, row: 1333, expected_value: All persons, label: sex} + - {column: E, row: 1333, expected_value: Total, label: employment type} + - {column: J, row: 1333, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1335 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1335, expected_value: W92000004, label: geography} + - {column: D, row: 1335, expected_value: All persons, label: sex} + - {column: E, row: 1335, expected_value: Total, label: employment type} + - {column: J, row: 1335, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1337 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1337, expected_value: W92000004, label: geography} + - {column: D, row: 1337, expected_value: All persons, label: sex} + - {column: E, row: 1337, expected_value: Total, label: employment type} + - {column: J, row: 1337, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1339 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1339, expected_value: W92000004, label: geography} + - {column: D, row: 1339, expected_value: All persons, label: sex} + - {column: E, row: 1339, expected_value: Total, label: employment type} + - {column: J, row: 1339, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1341 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1341, expected_value: W92000004, label: geography} + - {column: D, row: 1341, expected_value: All persons, label: sex} + - {column: E, row: 1341, expected_value: Total, label: employment type} + - {column: J, row: 1341, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1343 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1343, expected_value: W92000004, label: geography} + - {column: D, row: 1343, expected_value: All persons, label: sex} + - {column: E, row: 1343, expected_value: Total, label: employment type} + - {column: J, row: 1343, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1345 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1345, expected_value: W92000004, label: geography} + - {column: D, row: 1345, expected_value: All persons, label: sex} + - {column: E, row: 1345, expected_value: Total, label: employment type} + - {column: J, row: 1345, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1347 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1347, expected_value: W92000004, label: geography} + - {column: D, row: 1347, expected_value: All persons, label: sex} + - {column: E, row: 1347, expected_value: Total, label: employment type} + - {column: J, row: 1347, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1349 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1349, expected_value: W92000004, label: geography} + - {column: D, row: 1349, expected_value: All persons, label: sex} + - {column: E, row: 1349, expected_value: Total, label: employment type} + - {column: J, row: 1349, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1353 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1353, expected_value: W92000004, label: geography} + - {column: D, row: 1353, expected_value: All persons, label: sex} + - {column: E, row: 1353, expected_value: Total, label: employment type} + - {column: J, row: 1353, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1355 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1355, expected_value: W92000004, label: geography} + - {column: D, row: 1355, expected_value: All persons, label: sex} + - {column: E, row: 1355, expected_value: Total, label: employment type} + - {column: J, row: 1355, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1357 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1357, expected_value: W92000004, label: geography} + - {column: D, row: 1357, expected_value: All persons, label: sex} + - {column: E, row: 1357, expected_value: Total, label: employment type} + - {column: J, row: 1357, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1359 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1359, expected_value: W92000004, label: geography} + - {column: D, row: 1359, expected_value: All persons, label: sex} + - {column: E, row: 1359, expected_value: Total, label: employment type} + - {column: J, row: 1359, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1361 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1361, expected_value: W92000004, label: geography} + - {column: D, row: 1361, expected_value: All persons, label: sex} + - {column: E, row: 1361, expected_value: Total, label: employment type} + - {column: J, row: 1361, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1363 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1363, expected_value: W92000004, label: geography} + - {column: D, row: 1363, expected_value: All persons, label: sex} + - {column: E, row: 1363, expected_value: Total, label: employment type} + - {column: J, row: 1363, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1365 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1365, expected_value: W92000004, label: geography} + - {column: D, row: 1365, expected_value: All persons, label: sex} + - {column: E, row: 1365, expected_value: Total, label: employment type} + - {column: J, row: 1365, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1367 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1367, expected_value: W92000004, label: geography} + - {column: D, row: 1367, expected_value: All persons, label: sex} + - {column: E, row: 1367, expected_value: Total, label: employment type} + - {column: J, row: 1367, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1369 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1369, expected_value: W92000004, label: geography} + - {column: D, row: 1369, expected_value: All persons, label: sex} + - {column: E, row: 1369, expected_value: Total, label: employment type} + - {column: J, row: 1369, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1514 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1514, expected_value: W92000004, label: geography} + - {column: D, row: 1514, expected_value: All persons, label: sex} + - {column: E, row: 1514, expected_value: Employee, label: employment type} + - {column: J, row: 1514, expected_value: Value, label: measure} + - {column: L, row: 1515, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1516 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1516, expected_value: W92000004, label: geography} + - {column: D, row: 1516, expected_value: All persons, label: sex} + - {column: E, row: 1516, expected_value: Employee, label: employment type} + - {column: J, row: 1516, expected_value: Value, label: measure} + - {column: L, row: 1517, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1518 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1518, expected_value: W92000004, label: geography} + - {column: D, row: 1518, expected_value: All persons, label: sex} + - {column: E, row: 1518, expected_value: Employee, label: employment type} + - {column: J, row: 1518, expected_value: Value, label: measure} + - {column: L, row: 1519, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1520 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1520, expected_value: W92000004, label: geography} + - {column: D, row: 1520, expected_value: All persons, label: sex} + - {column: E, row: 1520, expected_value: Employee, label: employment type} + - {column: J, row: 1520, expected_value: Value, label: measure} + - {column: L, row: 1521, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1522 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1522, expected_value: W92000004, label: geography} + - {column: D, row: 1522, expected_value: All persons, label: sex} + - {column: E, row: 1522, expected_value: Employee, label: employment type} + - {column: J, row: 1522, expected_value: Value, label: measure} + - {column: L, row: 1523, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1524 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1524, expected_value: W92000004, label: geography} + - {column: D, row: 1524, expected_value: All persons, label: sex} + - {column: E, row: 1524, expected_value: Employee, label: employment type} + - {column: J, row: 1524, expected_value: Value, label: measure} + - {column: L, row: 1525, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1526 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1526, expected_value: W92000004, label: geography} + - {column: D, row: 1526, expected_value: All persons, label: sex} + - {column: E, row: 1526, expected_value: Employee, label: employment type} + - {column: J, row: 1526, expected_value: Value, label: measure} + - {column: L, row: 1527, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1528 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1528, expected_value: W92000004, label: geography} + - {column: D, row: 1528, expected_value: All persons, label: sex} + - {column: E, row: 1528, expected_value: Employee, label: employment type} + - {column: J, row: 1528, expected_value: Value, label: measure} + - {column: L, row: 1529, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1530 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1530, expected_value: W92000004, label: geography} + - {column: D, row: 1530, expected_value: All persons, label: sex} + - {column: E, row: 1530, expected_value: Employee, label: employment type} + - {column: J, row: 1530, expected_value: Value, label: measure} + - {column: L, row: 1531, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1532 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1532, expected_value: W92000004, label: geography} + - {column: D, row: 1532, expected_value: All persons, label: sex} + - {column: E, row: 1532, expected_value: Employee, label: employment type} + - {column: J, row: 1532, expected_value: Value, label: measure} + - {column: L, row: 1533, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1534 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1534, expected_value: W92000004, label: geography} + - {column: D, row: 1534, expected_value: All persons, label: sex} + - {column: E, row: 1534, expected_value: Employee, label: employment type} + - {column: J, row: 1534, expected_value: Value, label: measure} + - {column: L, row: 1535, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1536 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1536, expected_value: W92000004, label: geography} + - {column: D, row: 1536, expected_value: All persons, label: sex} + - {column: E, row: 1536, expected_value: Employee, label: employment type} + - {column: J, row: 1536, expected_value: Value, label: measure} + - {column: L, row: 1537, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1538 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1538, expected_value: W92000004, label: geography} + - {column: D, row: 1538, expected_value: All persons, label: sex} + - {column: E, row: 1538, expected_value: Employee, label: employment type} + - {column: J, row: 1538, expected_value: Value, label: measure} + - {column: L, row: 1539, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1540 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1540, expected_value: W92000004, label: geography} + - {column: D, row: 1540, expected_value: All persons, label: sex} + - {column: E, row: 1540, expected_value: Employee, label: employment type} + - {column: J, row: 1540, expected_value: Value, label: measure} + - {column: L, row: 1541, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1542 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1542, expected_value: W92000004, label: geography} + - {column: D, row: 1542, expected_value: All persons, label: sex} + - {column: E, row: 1542, expected_value: Employee, label: employment type} + - {column: J, row: 1542, expected_value: Value, label: measure} + - {column: L, row: 1543, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1544 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1544, expected_value: W92000004, label: geography} + - {column: D, row: 1544, expected_value: All persons, label: sex} + - {column: E, row: 1544, expected_value: Employee, label: employment type} + - {column: J, row: 1544, expected_value: Value, label: measure} + - {column: L, row: 1545, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1546 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1546, expected_value: W92000004, label: geography} + - {column: D, row: 1546, expected_value: All persons, label: sex} + - {column: E, row: 1546, expected_value: Employee, label: employment type} + - {column: J, row: 1546, expected_value: Value, label: measure} + - {column: L, row: 1547, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1548 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1548, expected_value: W92000004, label: geography} + - {column: D, row: 1548, expected_value: All persons, label: sex} + - {column: E, row: 1548, expected_value: Employee, label: employment type} + - {column: J, row: 1548, expected_value: Value, label: measure} + - {column: L, row: 1549, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1550 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1550, expected_value: W92000004, label: geography} + - {column: D, row: 1550, expected_value: All persons, label: sex} + - {column: E, row: 1550, expected_value: Employee, label: employment type} + - {column: J, row: 1550, expected_value: Value, label: measure} + - {column: L, row: 1551, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1552 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1552, expected_value: W92000004, label: geography} + - {column: D, row: 1552, expected_value: All persons, label: sex} + - {column: E, row: 1552, expected_value: Employee, label: employment type} + - {column: J, row: 1552, expected_value: Value, label: measure} + - {column: L, row: 1553, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1554 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1554, expected_value: W92000004, label: geography} + - {column: D, row: 1554, expected_value: All persons, label: sex} + - {column: E, row: 1554, expected_value: Employee, label: employment type} + - {column: J, row: 1554, expected_value: Value, label: measure} + - {column: L, row: 1555, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1556 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1556, expected_value: W92000004, label: geography} + - {column: D, row: 1556, expected_value: All persons, label: sex} + - {column: E, row: 1556, expected_value: Employee, label: employment type} + - {column: J, row: 1556, expected_value: Value, label: measure} + - {column: L, row: 1557, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1558 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1558, expected_value: W92000004, label: geography} + - {column: D, row: 1558, expected_value: All persons, label: sex} + - {column: E, row: 1558, expected_value: Employee, label: employment type} + - {column: J, row: 1558, expected_value: Value, label: measure} + - {column: L, row: 1559, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1560 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1560, expected_value: W92000004, label: geography} + - {column: D, row: 1560, expected_value: All persons, label: sex} + - {column: E, row: 1560, expected_value: Employee, label: employment type} + - {column: J, row: 1560, expected_value: Value, label: measure} + - {column: L, row: 1561, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1562 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1562, expected_value: W92000004, label: geography} + - {column: D, row: 1562, expected_value: All persons, label: sex} + - {column: E, row: 1562, expected_value: Employee, label: employment type} + - {column: J, row: 1562, expected_value: Value, label: measure} + - {column: L, row: 1563, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1564 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1564, expected_value: W92000004, label: geography} + - {column: D, row: 1564, expected_value: All persons, label: sex} + - {column: E, row: 1564, expected_value: Employee, label: employment type} + - {column: J, row: 1564, expected_value: Value, label: measure} + - {column: L, row: 1565, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1566 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1566, expected_value: W92000004, label: geography} + - {column: D, row: 1566, expected_value: All persons, label: sex} + - {column: E, row: 1566, expected_value: Employee, label: employment type} + - {column: J, row: 1566, expected_value: Value, label: measure} + - {column: L, row: 1567, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1568 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1568, expected_value: W92000004, label: geography} + - {column: D, row: 1568, expected_value: All persons, label: sex} + - {column: E, row: 1568, expected_value: Employee, label: employment type} + - {column: J, row: 1568, expected_value: Value, label: measure} + - {column: L, row: 1569, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1570 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1570, expected_value: W92000004, label: geography} + - {column: D, row: 1570, expected_value: All persons, label: sex} + - {column: E, row: 1570, expected_value: Employee, label: employment type} + - {column: J, row: 1570, expected_value: Value, label: measure} + - {column: L, row: 1571, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1572 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1572, expected_value: W92000004, label: geography} + - {column: D, row: 1572, expected_value: All persons, label: sex} + - {column: E, row: 1572, expected_value: Employee, label: employment type} + - {column: J, row: 1572, expected_value: Value, label: measure} + - {column: L, row: 1573, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1574 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1574, expected_value: W92000004, label: geography} + - {column: D, row: 1574, expected_value: All persons, label: sex} + - {column: E, row: 1574, expected_value: Employee, label: employment type} + - {column: J, row: 1574, expected_value: Value, label: measure} + - {column: L, row: 1575, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1576 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1576, expected_value: W92000004, label: geography} + - {column: D, row: 1576, expected_value: All persons, label: sex} + - {column: E, row: 1576, expected_value: Employee, label: employment type} + - {column: J, row: 1576, expected_value: Value, label: measure} + - {column: L, row: 1577, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1578 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1578, expected_value: W92000004, label: geography} + - {column: D, row: 1578, expected_value: All persons, label: sex} + - {column: E, row: 1578, expected_value: Employee, label: employment type} + - {column: J, row: 1578, expected_value: Value, label: measure} + - {column: L, row: 1579, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1580 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1580, expected_value: W92000004, label: geography} + - {column: D, row: 1580, expected_value: All persons, label: sex} + - {column: E, row: 1580, expected_value: Employee, label: employment type} + - {column: J, row: 1580, expected_value: Value, label: measure} + - {column: L, row: 1581, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1582 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1582, expected_value: W92000004, label: geography} + - {column: D, row: 1582, expected_value: All persons, label: sex} + - {column: E, row: 1582, expected_value: Employee, label: employment type} + - {column: J, row: 1582, expected_value: Value, label: measure} + - {column: L, row: 1583, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1584 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1584, expected_value: W92000004, label: geography} + - {column: D, row: 1584, expected_value: All persons, label: sex} + - {column: E, row: 1584, expected_value: Employee, label: employment type} + - {column: J, row: 1584, expected_value: Value, label: measure} + - {column: L, row: 1585, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1515 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1515, expected_value: W92000004, label: geography} + - {column: D, row: 1515, expected_value: All persons, label: sex} + - {column: E, row: 1515, expected_value: Employee, label: employment type} + - {column: J, row: 1515, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1517 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1517, expected_value: W92000004, label: geography} + - {column: D, row: 1517, expected_value: All persons, label: sex} + - {column: E, row: 1517, expected_value: Employee, label: employment type} + - {column: J, row: 1517, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1519 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1519, expected_value: W92000004, label: geography} + - {column: D, row: 1519, expected_value: All persons, label: sex} + - {column: E, row: 1519, expected_value: Employee, label: employment type} + - {column: J, row: 1519, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1521 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1521, expected_value: W92000004, label: geography} + - {column: D, row: 1521, expected_value: All persons, label: sex} + - {column: E, row: 1521, expected_value: Employee, label: employment type} + - {column: J, row: 1521, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1523 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1523, expected_value: W92000004, label: geography} + - {column: D, row: 1523, expected_value: All persons, label: sex} + - {column: E, row: 1523, expected_value: Employee, label: employment type} + - {column: J, row: 1523, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1525 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1525, expected_value: W92000004, label: geography} + - {column: D, row: 1525, expected_value: All persons, label: sex} + - {column: E, row: 1525, expected_value: Employee, label: employment type} + - {column: J, row: 1525, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1527 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1527, expected_value: W92000004, label: geography} + - {column: D, row: 1527, expected_value: All persons, label: sex} + - {column: E, row: 1527, expected_value: Employee, label: employment type} + - {column: J, row: 1527, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1529 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1529, expected_value: W92000004, label: geography} + - {column: D, row: 1529, expected_value: All persons, label: sex} + - {column: E, row: 1529, expected_value: Employee, label: employment type} + - {column: J, row: 1529, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1531 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1531, expected_value: W92000004, label: geography} + - {column: D, row: 1531, expected_value: All persons, label: sex} + - {column: E, row: 1531, expected_value: Employee, label: employment type} + - {column: J, row: 1531, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1533 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1533, expected_value: W92000004, label: geography} + - {column: D, row: 1533, expected_value: All persons, label: sex} + - {column: E, row: 1533, expected_value: Employee, label: employment type} + - {column: J, row: 1533, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1535 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1535, expected_value: W92000004, label: geography} + - {column: D, row: 1535, expected_value: All persons, label: sex} + - {column: E, row: 1535, expected_value: Employee, label: employment type} + - {column: J, row: 1535, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1537 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1537, expected_value: W92000004, label: geography} + - {column: D, row: 1537, expected_value: All persons, label: sex} + - {column: E, row: 1537, expected_value: Employee, label: employment type} + - {column: J, row: 1537, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1539 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1539, expected_value: W92000004, label: geography} + - {column: D, row: 1539, expected_value: All persons, label: sex} + - {column: E, row: 1539, expected_value: Employee, label: employment type} + - {column: J, row: 1539, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1541 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1541, expected_value: W92000004, label: geography} + - {column: D, row: 1541, expected_value: All persons, label: sex} + - {column: E, row: 1541, expected_value: Employee, label: employment type} + - {column: J, row: 1541, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1543 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1543, expected_value: W92000004, label: geography} + - {column: D, row: 1543, expected_value: All persons, label: sex} + - {column: E, row: 1543, expected_value: Employee, label: employment type} + - {column: J, row: 1543, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1545 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1545, expected_value: W92000004, label: geography} + - {column: D, row: 1545, expected_value: All persons, label: sex} + - {column: E, row: 1545, expected_value: Employee, label: employment type} + - {column: J, row: 1545, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1547 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1547, expected_value: W92000004, label: geography} + - {column: D, row: 1547, expected_value: All persons, label: sex} + - {column: E, row: 1547, expected_value: Employee, label: employment type} + - {column: J, row: 1547, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1549 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1549, expected_value: W92000004, label: geography} + - {column: D, row: 1549, expected_value: All persons, label: sex} + - {column: E, row: 1549, expected_value: Employee, label: employment type} + - {column: J, row: 1549, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1551 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1551, expected_value: W92000004, label: geography} + - {column: D, row: 1551, expected_value: All persons, label: sex} + - {column: E, row: 1551, expected_value: Employee, label: employment type} + - {column: J, row: 1551, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1553 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1553, expected_value: W92000004, label: geography} + - {column: D, row: 1553, expected_value: All persons, label: sex} + - {column: E, row: 1553, expected_value: Employee, label: employment type} + - {column: J, row: 1553, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1555 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1555, expected_value: W92000004, label: geography} + - {column: D, row: 1555, expected_value: All persons, label: sex} + - {column: E, row: 1555, expected_value: Employee, label: employment type} + - {column: J, row: 1555, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1557 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1557, expected_value: W92000004, label: geography} + - {column: D, row: 1557, expected_value: All persons, label: sex} + - {column: E, row: 1557, expected_value: Employee, label: employment type} + - {column: J, row: 1557, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1559 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1559, expected_value: W92000004, label: geography} + - {column: D, row: 1559, expected_value: All persons, label: sex} + - {column: E, row: 1559, expected_value: Employee, label: employment type} + - {column: J, row: 1559, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1561 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1561, expected_value: W92000004, label: geography} + - {column: D, row: 1561, expected_value: All persons, label: sex} + - {column: E, row: 1561, expected_value: Employee, label: employment type} + - {column: J, row: 1561, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1563 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1563, expected_value: W92000004, label: geography} + - {column: D, row: 1563, expected_value: All persons, label: sex} + - {column: E, row: 1563, expected_value: Employee, label: employment type} + - {column: J, row: 1563, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1565 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1565, expected_value: W92000004, label: geography} + - {column: D, row: 1565, expected_value: All persons, label: sex} + - {column: E, row: 1565, expected_value: Employee, label: employment type} + - {column: J, row: 1565, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1569 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1569, expected_value: W92000004, label: geography} + - {column: D, row: 1569, expected_value: All persons, label: sex} + - {column: E, row: 1569, expected_value: Employee, label: employment type} + - {column: J, row: 1569, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1571 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1571, expected_value: W92000004, label: geography} + - {column: D, row: 1571, expected_value: All persons, label: sex} + - {column: E, row: 1571, expected_value: Employee, label: employment type} + - {column: J, row: 1571, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1573 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1573, expected_value: W92000004, label: geography} + - {column: D, row: 1573, expected_value: All persons, label: sex} + - {column: E, row: 1573, expected_value: Employee, label: employment type} + - {column: J, row: 1573, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1575 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1575, expected_value: W92000004, label: geography} + - {column: D, row: 1575, expected_value: All persons, label: sex} + - {column: E, row: 1575, expected_value: Employee, label: employment type} + - {column: J, row: 1575, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1577 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1577, expected_value: W92000004, label: geography} + - {column: D, row: 1577, expected_value: All persons, label: sex} + - {column: E, row: 1577, expected_value: Employee, label: employment type} + - {column: J, row: 1577, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1579 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1579, expected_value: W92000004, label: geography} + - {column: D, row: 1579, expected_value: All persons, label: sex} + - {column: E, row: 1579, expected_value: Employee, label: employment type} + - {column: J, row: 1579, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1581 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1581, expected_value: W92000004, label: geography} + - {column: D, row: 1581, expected_value: All persons, label: sex} + - {column: E, row: 1581, expected_value: Employee, label: employment type} + - {column: J, row: 1581, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1583 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1583, expected_value: W92000004, label: geography} + - {column: D, row: 1583, expected_value: All persons, label: sex} + - {column: E, row: 1583, expected_value: Employee, label: employment type} + - {column: J, row: 1583, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1585 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1585, expected_value: W92000004, label: geography} + - {column: D, row: 1585, expected_value: All persons, label: sex} + - {column: E, row: 1585, expected_value: Employee, label: employment type} + - {column: J, row: 1585, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1730 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1730, expected_value: W92000004, label: geography} + - {column: D, row: 1730, expected_value: All persons, label: sex} + - {column: E, row: 1730, expected_value: Self-employed, label: employment type} + - {column: J, row: 1730, expected_value: Value, label: measure} + - {column: L, row: 1731, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1732 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1732, expected_value: W92000004, label: geography} + - {column: D, row: 1732, expected_value: All persons, label: sex} + - {column: E, row: 1732, expected_value: Self-employed, label: employment type} + - {column: J, row: 1732, expected_value: Value, label: measure} + - {column: L, row: 1733, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1734 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1734, expected_value: W92000004, label: geography} + - {column: D, row: 1734, expected_value: All persons, label: sex} + - {column: E, row: 1734, expected_value: Self-employed, label: employment type} + - {column: J, row: 1734, expected_value: Value, label: measure} + - {column: L, row: 1735, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1736 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1736, expected_value: W92000004, label: geography} + - {column: D, row: 1736, expected_value: All persons, label: sex} + - {column: E, row: 1736, expected_value: Self-employed, label: employment type} + - {column: J, row: 1736, expected_value: Value, label: measure} + - {column: L, row: 1737, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1738 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1738, expected_value: W92000004, label: geography} + - {column: D, row: 1738, expected_value: All persons, label: sex} + - {column: E, row: 1738, expected_value: Self-employed, label: employment type} + - {column: J, row: 1738, expected_value: Value, label: measure} + - {column: L, row: 1739, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1740 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1740, expected_value: W92000004, label: geography} + - {column: D, row: 1740, expected_value: All persons, label: sex} + - {column: E, row: 1740, expected_value: Self-employed, label: employment type} + - {column: J, row: 1740, expected_value: Value, label: measure} + - {column: L, row: 1741, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1742 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1742, expected_value: W92000004, label: geography} + - {column: D, row: 1742, expected_value: All persons, label: sex} + - {column: E, row: 1742, expected_value: Self-employed, label: employment type} + - {column: J, row: 1742, expected_value: Value, label: measure} + - {column: L, row: 1743, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1744 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1744, expected_value: W92000004, label: geography} + - {column: D, row: 1744, expected_value: All persons, label: sex} + - {column: E, row: 1744, expected_value: Self-employed, label: employment type} + - {column: J, row: 1744, expected_value: Value, label: measure} + - {column: L, row: 1745, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1746 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1746, expected_value: W92000004, label: geography} + - {column: D, row: 1746, expected_value: All persons, label: sex} + - {column: E, row: 1746, expected_value: Self-employed, label: employment type} + - {column: J, row: 1746, expected_value: Value, label: measure} + - {column: L, row: 1747, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1748 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1748, expected_value: W92000004, label: geography} + - {column: D, row: 1748, expected_value: All persons, label: sex} + - {column: E, row: 1748, expected_value: Self-employed, label: employment type} + - {column: J, row: 1748, expected_value: Value, label: measure} + - {column: L, row: 1749, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1750 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1750, expected_value: W92000004, label: geography} + - {column: D, row: 1750, expected_value: All persons, label: sex} + - {column: E, row: 1750, expected_value: Self-employed, label: employment type} + - {column: J, row: 1750, expected_value: Value, label: measure} + - {column: L, row: 1751, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1752 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1752, expected_value: W92000004, label: geography} + - {column: D, row: 1752, expected_value: All persons, label: sex} + - {column: E, row: 1752, expected_value: Self-employed, label: employment type} + - {column: J, row: 1752, expected_value: Value, label: measure} + - {column: L, row: 1753, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1756 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1756, expected_value: W92000004, label: geography} + - {column: D, row: 1756, expected_value: All persons, label: sex} + - {column: E, row: 1756, expected_value: Self-employed, label: employment type} + - {column: J, row: 1756, expected_value: Value, label: measure} + - {column: L, row: 1757, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1758 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1758, expected_value: W92000004, label: geography} + - {column: D, row: 1758, expected_value: All persons, label: sex} + - {column: E, row: 1758, expected_value: Self-employed, label: employment type} + - {column: J, row: 1758, expected_value: Value, label: measure} + - {column: L, row: 1759, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1760 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1760, expected_value: W92000004, label: geography} + - {column: D, row: 1760, expected_value: All persons, label: sex} + - {column: E, row: 1760, expected_value: Self-employed, label: employment type} + - {column: J, row: 1760, expected_value: Value, label: measure} + - {column: L, row: 1761, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1762 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1762, expected_value: W92000004, label: geography} + - {column: D, row: 1762, expected_value: All persons, label: sex} + - {column: E, row: 1762, expected_value: Self-employed, label: employment type} + - {column: J, row: 1762, expected_value: Value, label: measure} + - {column: L, row: 1763, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1764 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1764, expected_value: W92000004, label: geography} + - {column: D, row: 1764, expected_value: All persons, label: sex} + - {column: E, row: 1764, expected_value: Self-employed, label: employment type} + - {column: J, row: 1764, expected_value: Value, label: measure} + - {column: L, row: 1765, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1766 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1766, expected_value: W92000004, label: geography} + - {column: D, row: 1766, expected_value: All persons, label: sex} + - {column: E, row: 1766, expected_value: Self-employed, label: employment type} + - {column: J, row: 1766, expected_value: Value, label: measure} + - {column: L, row: 1767, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1768 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1768, expected_value: W92000004, label: geography} + - {column: D, row: 1768, expected_value: All persons, label: sex} + - {column: E, row: 1768, expected_value: Self-employed, label: employment type} + - {column: J, row: 1768, expected_value: Value, label: measure} + - {column: L, row: 1769, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1770 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1770, expected_value: W92000004, label: geography} + - {column: D, row: 1770, expected_value: All persons, label: sex} + - {column: E, row: 1770, expected_value: Self-employed, label: employment type} + - {column: J, row: 1770, expected_value: Value, label: measure} + - {column: L, row: 1771, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1772 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1772, expected_value: W92000004, label: geography} + - {column: D, row: 1772, expected_value: All persons, label: sex} + - {column: E, row: 1772, expected_value: Self-employed, label: employment type} + - {column: J, row: 1772, expected_value: Value, label: measure} + - {column: L, row: 1773, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1774 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1774, expected_value: W92000004, label: geography} + - {column: D, row: 1774, expected_value: All persons, label: sex} + - {column: E, row: 1774, expected_value: Self-employed, label: employment type} + - {column: J, row: 1774, expected_value: Value, label: measure} + - {column: L, row: 1775, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1776 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1776, expected_value: W92000004, label: geography} + - {column: D, row: 1776, expected_value: All persons, label: sex} + - {column: E, row: 1776, expected_value: Self-employed, label: employment type} + - {column: J, row: 1776, expected_value: Value, label: measure} + - {column: L, row: 1777, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1778 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1778, expected_value: W92000004, label: geography} + - {column: D, row: 1778, expected_value: All persons, label: sex} + - {column: E, row: 1778, expected_value: Self-employed, label: employment type} + - {column: J, row: 1778, expected_value: Value, label: measure} + - {column: L, row: 1779, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1780 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1780, expected_value: W92000004, label: geography} + - {column: D, row: 1780, expected_value: All persons, label: sex} + - {column: E, row: 1780, expected_value: Self-employed, label: employment type} + - {column: J, row: 1780, expected_value: Value, label: measure} + - {column: L, row: 1781, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1784 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1784, expected_value: W92000004, label: geography} + - {column: D, row: 1784, expected_value: All persons, label: sex} + - {column: E, row: 1784, expected_value: Self-employed, label: employment type} + - {column: J, row: 1784, expected_value: Value, label: measure} + - {column: L, row: 1785, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1786 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1786, expected_value: W92000004, label: geography} + - {column: D, row: 1786, expected_value: All persons, label: sex} + - {column: E, row: 1786, expected_value: Self-employed, label: employment type} + - {column: J, row: 1786, expected_value: Value, label: measure} + - {column: L, row: 1787, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1790 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1790, expected_value: W92000004, label: geography} + - {column: D, row: 1790, expected_value: All persons, label: sex} + - {column: E, row: 1790, expected_value: Self-employed, label: employment type} + - {column: J, row: 1790, expected_value: Value, label: measure} + - {column: L, row: 1791, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1792 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1792, expected_value: W92000004, label: geography} + - {column: D, row: 1792, expected_value: All persons, label: sex} + - {column: E, row: 1792, expected_value: Self-employed, label: employment type} + - {column: J, row: 1792, expected_value: Value, label: measure} + - {column: L, row: 1793, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1794 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1794, expected_value: W92000004, label: geography} + - {column: D, row: 1794, expected_value: All persons, label: sex} + - {column: E, row: 1794, expected_value: Self-employed, label: employment type} + - {column: J, row: 1794, expected_value: Value, label: measure} + - {column: L, row: 1795, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1796 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1796, expected_value: W92000004, label: geography} + - {column: D, row: 1796, expected_value: All persons, label: sex} + - {column: E, row: 1796, expected_value: Self-employed, label: employment type} + - {column: J, row: 1796, expected_value: Value, label: measure} + - {column: L, row: 1797, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1798 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1798, expected_value: W92000004, label: geography} + - {column: D, row: 1798, expected_value: All persons, label: sex} + - {column: E, row: 1798, expected_value: Self-employed, label: employment type} + - {column: J, row: 1798, expected_value: Value, label: measure} + - {column: L, row: 1799, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1800 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1800, expected_value: W92000004, label: geography} + - {column: D, row: 1800, expected_value: All persons, label: sex} + - {column: E, row: 1800, expected_value: Self-employed, label: employment type} + - {column: J, row: 1800, expected_value: Value, label: measure} + - {column: L, row: 1801, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1731 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1731, expected_value: W92000004, label: geography} + - {column: D, row: 1731, expected_value: All persons, label: sex} + - {column: E, row: 1731, expected_value: Self-employed, label: employment type} + - {column: J, row: 1731, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1733 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1733, expected_value: W92000004, label: geography} + - {column: D, row: 1733, expected_value: All persons, label: sex} + - {column: E, row: 1733, expected_value: Self-employed, label: employment type} + - {column: J, row: 1733, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1735 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1735, expected_value: W92000004, label: geography} + - {column: D, row: 1735, expected_value: All persons, label: sex} + - {column: E, row: 1735, expected_value: Self-employed, label: employment type} + - {column: J, row: 1735, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1737 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1737, expected_value: W92000004, label: geography} + - {column: D, row: 1737, expected_value: All persons, label: sex} + - {column: E, row: 1737, expected_value: Self-employed, label: employment type} + - {column: J, row: 1737, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1739 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1739, expected_value: W92000004, label: geography} + - {column: D, row: 1739, expected_value: All persons, label: sex} + - {column: E, row: 1739, expected_value: Self-employed, label: employment type} + - {column: J, row: 1739, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1741 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1741, expected_value: W92000004, label: geography} + - {column: D, row: 1741, expected_value: All persons, label: sex} + - {column: E, row: 1741, expected_value: Self-employed, label: employment type} + - {column: J, row: 1741, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1743 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1743, expected_value: W92000004, label: geography} + - {column: D, row: 1743, expected_value: All persons, label: sex} + - {column: E, row: 1743, expected_value: Self-employed, label: employment type} + - {column: J, row: 1743, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1745 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1745, expected_value: W92000004, label: geography} + - {column: D, row: 1745, expected_value: All persons, label: sex} + - {column: E, row: 1745, expected_value: Self-employed, label: employment type} + - {column: J, row: 1745, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1747 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1747, expected_value: W92000004, label: geography} + - {column: D, row: 1747, expected_value: All persons, label: sex} + - {column: E, row: 1747, expected_value: Self-employed, label: employment type} + - {column: J, row: 1747, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1749 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1749, expected_value: W92000004, label: geography} + - {column: D, row: 1749, expected_value: All persons, label: sex} + - {column: E, row: 1749, expected_value: Self-employed, label: employment type} + - {column: J, row: 1749, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1751 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1751, expected_value: W92000004, label: geography} + - {column: D, row: 1751, expected_value: All persons, label: sex} + - {column: E, row: 1751, expected_value: Self-employed, label: employment type} + - {column: J, row: 1751, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1753 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1753, expected_value: W92000004, label: geography} + - {column: D, row: 1753, expected_value: All persons, label: sex} + - {column: E, row: 1753, expected_value: Self-employed, label: employment type} + - {column: J, row: 1753, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1757 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1757, expected_value: W92000004, label: geography} + - {column: D, row: 1757, expected_value: All persons, label: sex} + - {column: E, row: 1757, expected_value: Self-employed, label: employment type} + - {column: J, row: 1757, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1759 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1759, expected_value: W92000004, label: geography} + - {column: D, row: 1759, expected_value: All persons, label: sex} + - {column: E, row: 1759, expected_value: Self-employed, label: employment type} + - {column: J, row: 1759, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1761 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1761, expected_value: W92000004, label: geography} + - {column: D, row: 1761, expected_value: All persons, label: sex} + - {column: E, row: 1761, expected_value: Self-employed, label: employment type} + - {column: J, row: 1761, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1763 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1763, expected_value: W92000004, label: geography} + - {column: D, row: 1763, expected_value: All persons, label: sex} + - {column: E, row: 1763, expected_value: Self-employed, label: employment type} + - {column: J, row: 1763, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1767 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1767, expected_value: W92000004, label: geography} + - {column: D, row: 1767, expected_value: All persons, label: sex} + - {column: E, row: 1767, expected_value: Self-employed, label: employment type} + - {column: J, row: 1767, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1769 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1769, expected_value: W92000004, label: geography} + - {column: D, row: 1769, expected_value: All persons, label: sex} + - {column: E, row: 1769, expected_value: Self-employed, label: employment type} + - {column: J, row: 1769, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1771 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1771, expected_value: W92000004, label: geography} + - {column: D, row: 1771, expected_value: All persons, label: sex} + - {column: E, row: 1771, expected_value: Self-employed, label: employment type} + - {column: J, row: 1771, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1773 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1773, expected_value: W92000004, label: geography} + - {column: D, row: 1773, expected_value: All persons, label: sex} + - {column: E, row: 1773, expected_value: Self-employed, label: employment type} + - {column: J, row: 1773, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1775 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1775, expected_value: W92000004, label: geography} + - {column: D, row: 1775, expected_value: All persons, label: sex} + - {column: E, row: 1775, expected_value: Self-employed, label: employment type} + - {column: J, row: 1775, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1777 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1777, expected_value: W92000004, label: geography} + - {column: D, row: 1777, expected_value: All persons, label: sex} + - {column: E, row: 1777, expected_value: Self-employed, label: employment type} + - {column: J, row: 1777, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1779 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1779, expected_value: W92000004, label: geography} + - {column: D, row: 1779, expected_value: All persons, label: sex} + - {column: E, row: 1779, expected_value: Self-employed, label: employment type} + - {column: J, row: 1779, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1781 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1781, expected_value: W92000004, label: geography} + - {column: D, row: 1781, expected_value: All persons, label: sex} + - {column: E, row: 1781, expected_value: Self-employed, label: employment type} + - {column: J, row: 1781, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1785 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1785, expected_value: W92000004, label: geography} + - {column: D, row: 1785, expected_value: All persons, label: sex} + - {column: E, row: 1785, expected_value: Self-employed, label: employment type} + - {column: J, row: 1785, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1787 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1787, expected_value: W92000004, label: geography} + - {column: D, row: 1787, expected_value: All persons, label: sex} + - {column: E, row: 1787, expected_value: Self-employed, label: employment type} + - {column: J, row: 1787, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1791 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1791, expected_value: W92000004, label: geography} + - {column: D, row: 1791, expected_value: All persons, label: sex} + - {column: E, row: 1791, expected_value: Self-employed, label: employment type} + - {column: J, row: 1791, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1793 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1793, expected_value: W92000004, label: geography} + - {column: D, row: 1793, expected_value: All persons, label: sex} + - {column: E, row: 1793, expected_value: Self-employed, label: employment type} + - {column: J, row: 1793, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1795 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1795, expected_value: W92000004, label: geography} + - {column: D, row: 1795, expected_value: All persons, label: sex} + - {column: E, row: 1795, expected_value: Self-employed, label: employment type} + - {column: J, row: 1795, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1797 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1797, expected_value: W92000004, label: geography} + - {column: D, row: 1797, expected_value: All persons, label: sex} + - {column: E, row: 1797, expected_value: Self-employed, label: employment type} + - {column: J, row: 1797, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1799 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1799, expected_value: W92000004, label: geography} + - {column: D, row: 1799, expected_value: All persons, label: sex} + - {column: E, row: 1799, expected_value: Self-employed, label: employment type} + - {column: J, row: 1799, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1801 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1801, expected_value: W92000004, label: geography} + - {column: D, row: 1801, expected_value: All persons, label: sex} + - {column: E, row: 1801, expected_value: Self-employed, label: employment type} + - {column: J, row: 1801, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1370 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1370, expected_value: W92000004, label: geography} + - {column: D, row: 1370, expected_value: Males, label: sex} + - {column: E, row: 1370, expected_value: Total, label: employment type} + - {column: J, row: 1370, expected_value: Value, label: measure} + - {column: L, row: 1371, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1372 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1372, expected_value: W92000004, label: geography} + - {column: D, row: 1372, expected_value: Males, label: sex} + - {column: E, row: 1372, expected_value: Total, label: employment type} + - {column: J, row: 1372, expected_value: Value, label: measure} + - {column: L, row: 1373, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1374 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1374, expected_value: W92000004, label: geography} + - {column: D, row: 1374, expected_value: Males, label: sex} + - {column: E, row: 1374, expected_value: Total, label: employment type} + - {column: J, row: 1374, expected_value: Value, label: measure} + - {column: L, row: 1375, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1376 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1376, expected_value: W92000004, label: geography} + - {column: D, row: 1376, expected_value: Males, label: sex} + - {column: E, row: 1376, expected_value: Total, label: employment type} + - {column: J, row: 1376, expected_value: Value, label: measure} + - {column: L, row: 1377, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1378 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1378, expected_value: W92000004, label: geography} + - {column: D, row: 1378, expected_value: Males, label: sex} + - {column: E, row: 1378, expected_value: Total, label: employment type} + - {column: J, row: 1378, expected_value: Value, label: measure} + - {column: L, row: 1379, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1380 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1380, expected_value: W92000004, label: geography} + - {column: D, row: 1380, expected_value: Males, label: sex} + - {column: E, row: 1380, expected_value: Total, label: employment type} + - {column: J, row: 1380, expected_value: Value, label: measure} + - {column: L, row: 1381, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1382 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1382, expected_value: W92000004, label: geography} + - {column: D, row: 1382, expected_value: Males, label: sex} + - {column: E, row: 1382, expected_value: Total, label: employment type} + - {column: J, row: 1382, expected_value: Value, label: measure} + - {column: L, row: 1383, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1384 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1384, expected_value: W92000004, label: geography} + - {column: D, row: 1384, expected_value: Males, label: sex} + - {column: E, row: 1384, expected_value: Total, label: employment type} + - {column: J, row: 1384, expected_value: Value, label: measure} + - {column: L, row: 1385, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1386 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1386, expected_value: W92000004, label: geography} + - {column: D, row: 1386, expected_value: Males, label: sex} + - {column: E, row: 1386, expected_value: Total, label: employment type} + - {column: J, row: 1386, expected_value: Value, label: measure} + - {column: L, row: 1387, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1388 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1388, expected_value: W92000004, label: geography} + - {column: D, row: 1388, expected_value: Males, label: sex} + - {column: E, row: 1388, expected_value: Total, label: employment type} + - {column: J, row: 1388, expected_value: Value, label: measure} + - {column: L, row: 1389, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1390 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1390, expected_value: W92000004, label: geography} + - {column: D, row: 1390, expected_value: Males, label: sex} + - {column: E, row: 1390, expected_value: Total, label: employment type} + - {column: J, row: 1390, expected_value: Value, label: measure} + - {column: L, row: 1391, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1392 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1392, expected_value: W92000004, label: geography} + - {column: D, row: 1392, expected_value: Males, label: sex} + - {column: E, row: 1392, expected_value: Total, label: employment type} + - {column: J, row: 1392, expected_value: Value, label: measure} + - {column: L, row: 1393, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1394 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1394, expected_value: W92000004, label: geography} + - {column: D, row: 1394, expected_value: Males, label: sex} + - {column: E, row: 1394, expected_value: Total, label: employment type} + - {column: J, row: 1394, expected_value: Value, label: measure} + - {column: L, row: 1395, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1396 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1396, expected_value: W92000004, label: geography} + - {column: D, row: 1396, expected_value: Males, label: sex} + - {column: E, row: 1396, expected_value: Total, label: employment type} + - {column: J, row: 1396, expected_value: Value, label: measure} + - {column: L, row: 1397, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1398 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1398, expected_value: W92000004, label: geography} + - {column: D, row: 1398, expected_value: Males, label: sex} + - {column: E, row: 1398, expected_value: Total, label: employment type} + - {column: J, row: 1398, expected_value: Value, label: measure} + - {column: L, row: 1399, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1400 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1400, expected_value: W92000004, label: geography} + - {column: D, row: 1400, expected_value: Males, label: sex} + - {column: E, row: 1400, expected_value: Total, label: employment type} + - {column: J, row: 1400, expected_value: Value, label: measure} + - {column: L, row: 1401, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1402 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1402, expected_value: W92000004, label: geography} + - {column: D, row: 1402, expected_value: Males, label: sex} + - {column: E, row: 1402, expected_value: Total, label: employment type} + - {column: J, row: 1402, expected_value: Value, label: measure} + - {column: L, row: 1403, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1404 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1404, expected_value: W92000004, label: geography} + - {column: D, row: 1404, expected_value: Males, label: sex} + - {column: E, row: 1404, expected_value: Total, label: employment type} + - {column: J, row: 1404, expected_value: Value, label: measure} + - {column: L, row: 1405, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1406 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1406, expected_value: W92000004, label: geography} + - {column: D, row: 1406, expected_value: Males, label: sex} + - {column: E, row: 1406, expected_value: Total, label: employment type} + - {column: J, row: 1406, expected_value: Value, label: measure} + - {column: L, row: 1407, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1408 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1408, expected_value: W92000004, label: geography} + - {column: D, row: 1408, expected_value: Males, label: sex} + - {column: E, row: 1408, expected_value: Total, label: employment type} + - {column: J, row: 1408, expected_value: Value, label: measure} + - {column: L, row: 1409, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1410 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1410, expected_value: W92000004, label: geography} + - {column: D, row: 1410, expected_value: Males, label: sex} + - {column: E, row: 1410, expected_value: Total, label: employment type} + - {column: J, row: 1410, expected_value: Value, label: measure} + - {column: L, row: 1411, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1412 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1412, expected_value: W92000004, label: geography} + - {column: D, row: 1412, expected_value: Males, label: sex} + - {column: E, row: 1412, expected_value: Total, label: employment type} + - {column: J, row: 1412, expected_value: Value, label: measure} + - {column: L, row: 1413, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1414 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1414, expected_value: W92000004, label: geography} + - {column: D, row: 1414, expected_value: Males, label: sex} + - {column: E, row: 1414, expected_value: Total, label: employment type} + - {column: J, row: 1414, expected_value: Value, label: measure} + - {column: L, row: 1415, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1416 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1416, expected_value: W92000004, label: geography} + - {column: D, row: 1416, expected_value: Males, label: sex} + - {column: E, row: 1416, expected_value: Total, label: employment type} + - {column: J, row: 1416, expected_value: Value, label: measure} + - {column: L, row: 1417, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1418 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1418, expected_value: W92000004, label: geography} + - {column: D, row: 1418, expected_value: Males, label: sex} + - {column: E, row: 1418, expected_value: Total, label: employment type} + - {column: J, row: 1418, expected_value: Value, label: measure} + - {column: L, row: 1419, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1420 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1420, expected_value: W92000004, label: geography} + - {column: D, row: 1420, expected_value: Males, label: sex} + - {column: E, row: 1420, expected_value: Total, label: employment type} + - {column: J, row: 1420, expected_value: Value, label: measure} + - {column: L, row: 1421, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1422 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1422, expected_value: W92000004, label: geography} + - {column: D, row: 1422, expected_value: Males, label: sex} + - {column: E, row: 1422, expected_value: Total, label: employment type} + - {column: J, row: 1422, expected_value: Value, label: measure} + - {column: L, row: 1423, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1424 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1424, expected_value: W92000004, label: geography} + - {column: D, row: 1424, expected_value: Males, label: sex} + - {column: E, row: 1424, expected_value: Total, label: employment type} + - {column: J, row: 1424, expected_value: Value, label: measure} + - {column: L, row: 1425, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1426 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1426, expected_value: W92000004, label: geography} + - {column: D, row: 1426, expected_value: Males, label: sex} + - {column: E, row: 1426, expected_value: Total, label: employment type} + - {column: J, row: 1426, expected_value: Value, label: measure} + - {column: L, row: 1427, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1428 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1428, expected_value: W92000004, label: geography} + - {column: D, row: 1428, expected_value: Males, label: sex} + - {column: E, row: 1428, expected_value: Total, label: employment type} + - {column: J, row: 1428, expected_value: Value, label: measure} + - {column: L, row: 1429, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1430 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1430, expected_value: W92000004, label: geography} + - {column: D, row: 1430, expected_value: Males, label: sex} + - {column: E, row: 1430, expected_value: Total, label: employment type} + - {column: J, row: 1430, expected_value: Value, label: measure} + - {column: L, row: 1431, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1432 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1432, expected_value: W92000004, label: geography} + - {column: D, row: 1432, expected_value: Males, label: sex} + - {column: E, row: 1432, expected_value: Total, label: employment type} + - {column: J, row: 1432, expected_value: Value, label: measure} + - {column: L, row: 1433, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1434 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1434, expected_value: W92000004, label: geography} + - {column: D, row: 1434, expected_value: Males, label: sex} + - {column: E, row: 1434, expected_value: Total, label: employment type} + - {column: J, row: 1434, expected_value: Value, label: measure} + - {column: L, row: 1435, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1436 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1436, expected_value: W92000004, label: geography} + - {column: D, row: 1436, expected_value: Males, label: sex} + - {column: E, row: 1436, expected_value: Total, label: employment type} + - {column: J, row: 1436, expected_value: Value, label: measure} + - {column: L, row: 1437, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1438 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1438, expected_value: W92000004, label: geography} + - {column: D, row: 1438, expected_value: Males, label: sex} + - {column: E, row: 1438, expected_value: Total, label: employment type} + - {column: J, row: 1438, expected_value: Value, label: measure} + - {column: L, row: 1439, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1440 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1440, expected_value: W92000004, label: geography} + - {column: D, row: 1440, expected_value: Males, label: sex} + - {column: E, row: 1440, expected_value: Total, label: employment type} + - {column: J, row: 1440, expected_value: Value, label: measure} + - {column: L, row: 1441, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1371 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1371, expected_value: W92000004, label: geography} + - {column: D, row: 1371, expected_value: Males, label: sex} + - {column: E, row: 1371, expected_value: Total, label: employment type} + - {column: J, row: 1371, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1373 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1373, expected_value: W92000004, label: geography} + - {column: D, row: 1373, expected_value: Males, label: sex} + - {column: E, row: 1373, expected_value: Total, label: employment type} + - {column: J, row: 1373, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1375 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1375, expected_value: W92000004, label: geography} + - {column: D, row: 1375, expected_value: Males, label: sex} + - {column: E, row: 1375, expected_value: Total, label: employment type} + - {column: J, row: 1375, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1377 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1377, expected_value: W92000004, label: geography} + - {column: D, row: 1377, expected_value: Males, label: sex} + - {column: E, row: 1377, expected_value: Total, label: employment type} + - {column: J, row: 1377, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1379 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1379, expected_value: W92000004, label: geography} + - {column: D, row: 1379, expected_value: Males, label: sex} + - {column: E, row: 1379, expected_value: Total, label: employment type} + - {column: J, row: 1379, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1381 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1381, expected_value: W92000004, label: geography} + - {column: D, row: 1381, expected_value: Males, label: sex} + - {column: E, row: 1381, expected_value: Total, label: employment type} + - {column: J, row: 1381, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1383 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1383, expected_value: W92000004, label: geography} + - {column: D, row: 1383, expected_value: Males, label: sex} + - {column: E, row: 1383, expected_value: Total, label: employment type} + - {column: J, row: 1383, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1385 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1385, expected_value: W92000004, label: geography} + - {column: D, row: 1385, expected_value: Males, label: sex} + - {column: E, row: 1385, expected_value: Total, label: employment type} + - {column: J, row: 1385, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1387 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1387, expected_value: W92000004, label: geography} + - {column: D, row: 1387, expected_value: Males, label: sex} + - {column: E, row: 1387, expected_value: Total, label: employment type} + - {column: J, row: 1387, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1389 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1389, expected_value: W92000004, label: geography} + - {column: D, row: 1389, expected_value: Males, label: sex} + - {column: E, row: 1389, expected_value: Total, label: employment type} + - {column: J, row: 1389, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1391 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1391, expected_value: W92000004, label: geography} + - {column: D, row: 1391, expected_value: Males, label: sex} + - {column: E, row: 1391, expected_value: Total, label: employment type} + - {column: J, row: 1391, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1393 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1393, expected_value: W92000004, label: geography} + - {column: D, row: 1393, expected_value: Males, label: sex} + - {column: E, row: 1393, expected_value: Total, label: employment type} + - {column: J, row: 1393, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1395 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1395, expected_value: W92000004, label: geography} + - {column: D, row: 1395, expected_value: Males, label: sex} + - {column: E, row: 1395, expected_value: Total, label: employment type} + - {column: J, row: 1395, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1397 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1397, expected_value: W92000004, label: geography} + - {column: D, row: 1397, expected_value: Males, label: sex} + - {column: E, row: 1397, expected_value: Total, label: employment type} + - {column: J, row: 1397, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1399 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1399, expected_value: W92000004, label: geography} + - {column: D, row: 1399, expected_value: Males, label: sex} + - {column: E, row: 1399, expected_value: Total, label: employment type} + - {column: J, row: 1399, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1401 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1401, expected_value: W92000004, label: geography} + - {column: D, row: 1401, expected_value: Males, label: sex} + - {column: E, row: 1401, expected_value: Total, label: employment type} + - {column: J, row: 1401, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1403 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1403, expected_value: W92000004, label: geography} + - {column: D, row: 1403, expected_value: Males, label: sex} + - {column: E, row: 1403, expected_value: Total, label: employment type} + - {column: J, row: 1403, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1407 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1407, expected_value: W92000004, label: geography} + - {column: D, row: 1407, expected_value: Males, label: sex} + - {column: E, row: 1407, expected_value: Total, label: employment type} + - {column: J, row: 1407, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1409 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1409, expected_value: W92000004, label: geography} + - {column: D, row: 1409, expected_value: Males, label: sex} + - {column: E, row: 1409, expected_value: Total, label: employment type} + - {column: J, row: 1409, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1411 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1411, expected_value: W92000004, label: geography} + - {column: D, row: 1411, expected_value: Males, label: sex} + - {column: E, row: 1411, expected_value: Total, label: employment type} + - {column: J, row: 1411, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1413 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1413, expected_value: W92000004, label: geography} + - {column: D, row: 1413, expected_value: Males, label: sex} + - {column: E, row: 1413, expected_value: Total, label: employment type} + - {column: J, row: 1413, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1415 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1415, expected_value: W92000004, label: geography} + - {column: D, row: 1415, expected_value: Males, label: sex} + - {column: E, row: 1415, expected_value: Total, label: employment type} + - {column: J, row: 1415, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1417 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1417, expected_value: W92000004, label: geography} + - {column: D, row: 1417, expected_value: Males, label: sex} + - {column: E, row: 1417, expected_value: Total, label: employment type} + - {column: J, row: 1417, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1419 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1419, expected_value: W92000004, label: geography} + - {column: D, row: 1419, expected_value: Males, label: sex} + - {column: E, row: 1419, expected_value: Total, label: employment type} + - {column: J, row: 1419, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1421 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1421, expected_value: W92000004, label: geography} + - {column: D, row: 1421, expected_value: Males, label: sex} + - {column: E, row: 1421, expected_value: Total, label: employment type} + - {column: J, row: 1421, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1425 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1425, expected_value: W92000004, label: geography} + - {column: D, row: 1425, expected_value: Males, label: sex} + - {column: E, row: 1425, expected_value: Total, label: employment type} + - {column: J, row: 1425, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1427 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1427, expected_value: W92000004, label: geography} + - {column: D, row: 1427, expected_value: Males, label: sex} + - {column: E, row: 1427, expected_value: Total, label: employment type} + - {column: J, row: 1427, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1429 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1429, expected_value: W92000004, label: geography} + - {column: D, row: 1429, expected_value: Males, label: sex} + - {column: E, row: 1429, expected_value: Total, label: employment type} + - {column: J, row: 1429, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1431 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1431, expected_value: W92000004, label: geography} + - {column: D, row: 1431, expected_value: Males, label: sex} + - {column: E, row: 1431, expected_value: Total, label: employment type} + - {column: J, row: 1431, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1433 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1433, expected_value: W92000004, label: geography} + - {column: D, row: 1433, expected_value: Males, label: sex} + - {column: E, row: 1433, expected_value: Total, label: employment type} + - {column: J, row: 1433, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1435 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1435, expected_value: W92000004, label: geography} + - {column: D, row: 1435, expected_value: Males, label: sex} + - {column: E, row: 1435, expected_value: Total, label: employment type} + - {column: J, row: 1435, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1437 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1437, expected_value: W92000004, label: geography} + - {column: D, row: 1437, expected_value: Males, label: sex} + - {column: E, row: 1437, expected_value: Total, label: employment type} + - {column: J, row: 1437, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1439 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1439, expected_value: W92000004, label: geography} + - {column: D, row: 1439, expected_value: Males, label: sex} + - {column: E, row: 1439, expected_value: Total, label: employment type} + - {column: J, row: 1439, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1441 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1441, expected_value: W92000004, label: geography} + - {column: D, row: 1441, expected_value: Males, label: sex} + - {column: E, row: 1441, expected_value: Total, label: employment type} + - {column: J, row: 1441, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1586 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1586, expected_value: W92000004, label: geography} + - {column: D, row: 1586, expected_value: Males, label: sex} + - {column: E, row: 1586, expected_value: Employee, label: employment type} + - {column: J, row: 1586, expected_value: Value, label: measure} + - {column: L, row: 1587, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1588 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1588, expected_value: W92000004, label: geography} + - {column: D, row: 1588, expected_value: Males, label: sex} + - {column: E, row: 1588, expected_value: Employee, label: employment type} + - {column: J, row: 1588, expected_value: Value, label: measure} + - {column: L, row: 1589, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1590 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1590, expected_value: W92000004, label: geography} + - {column: D, row: 1590, expected_value: Males, label: sex} + - {column: E, row: 1590, expected_value: Employee, label: employment type} + - {column: J, row: 1590, expected_value: Value, label: measure} + - {column: L, row: 1591, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1592 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1592, expected_value: W92000004, label: geography} + - {column: D, row: 1592, expected_value: Males, label: sex} + - {column: E, row: 1592, expected_value: Employee, label: employment type} + - {column: J, row: 1592, expected_value: Value, label: measure} + - {column: L, row: 1593, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1594 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1594, expected_value: W92000004, label: geography} + - {column: D, row: 1594, expected_value: Males, label: sex} + - {column: E, row: 1594, expected_value: Employee, label: employment type} + - {column: J, row: 1594, expected_value: Value, label: measure} + - {column: L, row: 1595, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1596 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1596, expected_value: W92000004, label: geography} + - {column: D, row: 1596, expected_value: Males, label: sex} + - {column: E, row: 1596, expected_value: Employee, label: employment type} + - {column: J, row: 1596, expected_value: Value, label: measure} + - {column: L, row: 1597, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1598 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1598, expected_value: W92000004, label: geography} + - {column: D, row: 1598, expected_value: Males, label: sex} + - {column: E, row: 1598, expected_value: Employee, label: employment type} + - {column: J, row: 1598, expected_value: Value, label: measure} + - {column: L, row: 1599, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1600 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1600, expected_value: W92000004, label: geography} + - {column: D, row: 1600, expected_value: Males, label: sex} + - {column: E, row: 1600, expected_value: Employee, label: employment type} + - {column: J, row: 1600, expected_value: Value, label: measure} + - {column: L, row: 1601, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1602 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1602, expected_value: W92000004, label: geography} + - {column: D, row: 1602, expected_value: Males, label: sex} + - {column: E, row: 1602, expected_value: Employee, label: employment type} + - {column: J, row: 1602, expected_value: Value, label: measure} + - {column: L, row: 1603, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1604 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1604, expected_value: W92000004, label: geography} + - {column: D, row: 1604, expected_value: Males, label: sex} + - {column: E, row: 1604, expected_value: Employee, label: employment type} + - {column: J, row: 1604, expected_value: Value, label: measure} + - {column: L, row: 1605, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1606 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1606, expected_value: W92000004, label: geography} + - {column: D, row: 1606, expected_value: Males, label: sex} + - {column: E, row: 1606, expected_value: Employee, label: employment type} + - {column: J, row: 1606, expected_value: Value, label: measure} + - {column: L, row: 1607, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1608 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1608, expected_value: W92000004, label: geography} + - {column: D, row: 1608, expected_value: Males, label: sex} + - {column: E, row: 1608, expected_value: Employee, label: employment type} + - {column: J, row: 1608, expected_value: Value, label: measure} + - {column: L, row: 1609, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1610 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1610, expected_value: W92000004, label: geography} + - {column: D, row: 1610, expected_value: Males, label: sex} + - {column: E, row: 1610, expected_value: Employee, label: employment type} + - {column: J, row: 1610, expected_value: Value, label: measure} + - {column: L, row: 1611, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1612 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1612, expected_value: W92000004, label: geography} + - {column: D, row: 1612, expected_value: Males, label: sex} + - {column: E, row: 1612, expected_value: Employee, label: employment type} + - {column: J, row: 1612, expected_value: Value, label: measure} + - {column: L, row: 1613, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1614 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1614, expected_value: W92000004, label: geography} + - {column: D, row: 1614, expected_value: Males, label: sex} + - {column: E, row: 1614, expected_value: Employee, label: employment type} + - {column: J, row: 1614, expected_value: Value, label: measure} + - {column: L, row: 1615, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1616 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1616, expected_value: W92000004, label: geography} + - {column: D, row: 1616, expected_value: Males, label: sex} + - {column: E, row: 1616, expected_value: Employee, label: employment type} + - {column: J, row: 1616, expected_value: Value, label: measure} + - {column: L, row: 1617, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1618 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1618, expected_value: W92000004, label: geography} + - {column: D, row: 1618, expected_value: Males, label: sex} + - {column: E, row: 1618, expected_value: Employee, label: employment type} + - {column: J, row: 1618, expected_value: Value, label: measure} + - {column: L, row: 1619, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1620 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1620, expected_value: W92000004, label: geography} + - {column: D, row: 1620, expected_value: Males, label: sex} + - {column: E, row: 1620, expected_value: Employee, label: employment type} + - {column: J, row: 1620, expected_value: Value, label: measure} + - {column: L, row: 1621, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1622 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1622, expected_value: W92000004, label: geography} + - {column: D, row: 1622, expected_value: Males, label: sex} + - {column: E, row: 1622, expected_value: Employee, label: employment type} + - {column: J, row: 1622, expected_value: Value, label: measure} + - {column: L, row: 1623, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1624 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1624, expected_value: W92000004, label: geography} + - {column: D, row: 1624, expected_value: Males, label: sex} + - {column: E, row: 1624, expected_value: Employee, label: employment type} + - {column: J, row: 1624, expected_value: Value, label: measure} + - {column: L, row: 1625, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1626 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1626, expected_value: W92000004, label: geography} + - {column: D, row: 1626, expected_value: Males, label: sex} + - {column: E, row: 1626, expected_value: Employee, label: employment type} + - {column: J, row: 1626, expected_value: Value, label: measure} + - {column: L, row: 1627, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1628 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1628, expected_value: W92000004, label: geography} + - {column: D, row: 1628, expected_value: Males, label: sex} + - {column: E, row: 1628, expected_value: Employee, label: employment type} + - {column: J, row: 1628, expected_value: Value, label: measure} + - {column: L, row: 1629, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1630 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1630, expected_value: W92000004, label: geography} + - {column: D, row: 1630, expected_value: Males, label: sex} + - {column: E, row: 1630, expected_value: Employee, label: employment type} + - {column: J, row: 1630, expected_value: Value, label: measure} + - {column: L, row: 1631, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1632 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1632, expected_value: W92000004, label: geography} + - {column: D, row: 1632, expected_value: Males, label: sex} + - {column: E, row: 1632, expected_value: Employee, label: employment type} + - {column: J, row: 1632, expected_value: Value, label: measure} + - {column: L, row: 1633, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1634 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1634, expected_value: W92000004, label: geography} + - {column: D, row: 1634, expected_value: Males, label: sex} + - {column: E, row: 1634, expected_value: Employee, label: employment type} + - {column: J, row: 1634, expected_value: Value, label: measure} + - {column: L, row: 1635, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1636 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1636, expected_value: W92000004, label: geography} + - {column: D, row: 1636, expected_value: Males, label: sex} + - {column: E, row: 1636, expected_value: Employee, label: employment type} + - {column: J, row: 1636, expected_value: Value, label: measure} + - {column: L, row: 1637, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1638 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1638, expected_value: W92000004, label: geography} + - {column: D, row: 1638, expected_value: Males, label: sex} + - {column: E, row: 1638, expected_value: Employee, label: employment type} + - {column: J, row: 1638, expected_value: Value, label: measure} + - {column: L, row: 1639, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1640 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1640, expected_value: W92000004, label: geography} + - {column: D, row: 1640, expected_value: Males, label: sex} + - {column: E, row: 1640, expected_value: Employee, label: employment type} + - {column: J, row: 1640, expected_value: Value, label: measure} + - {column: L, row: 1641, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1642 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1642, expected_value: W92000004, label: geography} + - {column: D, row: 1642, expected_value: Males, label: sex} + - {column: E, row: 1642, expected_value: Employee, label: employment type} + - {column: J, row: 1642, expected_value: Value, label: measure} + - {column: L, row: 1643, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1644 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1644, expected_value: W92000004, label: geography} + - {column: D, row: 1644, expected_value: Males, label: sex} + - {column: E, row: 1644, expected_value: Employee, label: employment type} + - {column: J, row: 1644, expected_value: Value, label: measure} + - {column: L, row: 1645, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1646 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1646, expected_value: W92000004, label: geography} + - {column: D, row: 1646, expected_value: Males, label: sex} + - {column: E, row: 1646, expected_value: Employee, label: employment type} + - {column: J, row: 1646, expected_value: Value, label: measure} + - {column: L, row: 1647, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1648 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1648, expected_value: W92000004, label: geography} + - {column: D, row: 1648, expected_value: Males, label: sex} + - {column: E, row: 1648, expected_value: Employee, label: employment type} + - {column: J, row: 1648, expected_value: Value, label: measure} + - {column: L, row: 1649, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1650 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1650, expected_value: W92000004, label: geography} + - {column: D, row: 1650, expected_value: Males, label: sex} + - {column: E, row: 1650, expected_value: Employee, label: employment type} + - {column: J, row: 1650, expected_value: Value, label: measure} + - {column: L, row: 1651, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1652 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1652, expected_value: W92000004, label: geography} + - {column: D, row: 1652, expected_value: Males, label: sex} + - {column: E, row: 1652, expected_value: Employee, label: employment type} + - {column: J, row: 1652, expected_value: Value, label: measure} + - {column: L, row: 1653, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1654 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1654, expected_value: W92000004, label: geography} + - {column: D, row: 1654, expected_value: Males, label: sex} + - {column: E, row: 1654, expected_value: Employee, label: employment type} + - {column: J, row: 1654, expected_value: Value, label: measure} + - {column: L, row: 1655, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1656 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1656, expected_value: W92000004, label: geography} + - {column: D, row: 1656, expected_value: Males, label: sex} + - {column: E, row: 1656, expected_value: Employee, label: employment type} + - {column: J, row: 1656, expected_value: Value, label: measure} + - {column: L, row: 1657, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1587 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1587, expected_value: W92000004, label: geography} + - {column: D, row: 1587, expected_value: Males, label: sex} + - {column: E, row: 1587, expected_value: Employee, label: employment type} + - {column: J, row: 1587, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1589 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1589, expected_value: W92000004, label: geography} + - {column: D, row: 1589, expected_value: Males, label: sex} + - {column: E, row: 1589, expected_value: Employee, label: employment type} + - {column: J, row: 1589, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1591 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1591, expected_value: W92000004, label: geography} + - {column: D, row: 1591, expected_value: Males, label: sex} + - {column: E, row: 1591, expected_value: Employee, label: employment type} + - {column: J, row: 1591, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1593 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1593, expected_value: W92000004, label: geography} + - {column: D, row: 1593, expected_value: Males, label: sex} + - {column: E, row: 1593, expected_value: Employee, label: employment type} + - {column: J, row: 1593, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1595 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1595, expected_value: W92000004, label: geography} + - {column: D, row: 1595, expected_value: Males, label: sex} + - {column: E, row: 1595, expected_value: Employee, label: employment type} + - {column: J, row: 1595, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1597 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1597, expected_value: W92000004, label: geography} + - {column: D, row: 1597, expected_value: Males, label: sex} + - {column: E, row: 1597, expected_value: Employee, label: employment type} + - {column: J, row: 1597, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1599 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1599, expected_value: W92000004, label: geography} + - {column: D, row: 1599, expected_value: Males, label: sex} + - {column: E, row: 1599, expected_value: Employee, label: employment type} + - {column: J, row: 1599, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1601 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1601, expected_value: W92000004, label: geography} + - {column: D, row: 1601, expected_value: Males, label: sex} + - {column: E, row: 1601, expected_value: Employee, label: employment type} + - {column: J, row: 1601, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1603 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1603, expected_value: W92000004, label: geography} + - {column: D, row: 1603, expected_value: Males, label: sex} + - {column: E, row: 1603, expected_value: Employee, label: employment type} + - {column: J, row: 1603, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1605 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1605, expected_value: W92000004, label: geography} + - {column: D, row: 1605, expected_value: Males, label: sex} + - {column: E, row: 1605, expected_value: Employee, label: employment type} + - {column: J, row: 1605, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1607 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1607, expected_value: W92000004, label: geography} + - {column: D, row: 1607, expected_value: Males, label: sex} + - {column: E, row: 1607, expected_value: Employee, label: employment type} + - {column: J, row: 1607, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1609 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1609, expected_value: W92000004, label: geography} + - {column: D, row: 1609, expected_value: Males, label: sex} + - {column: E, row: 1609, expected_value: Employee, label: employment type} + - {column: J, row: 1609, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1611 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1611, expected_value: W92000004, label: geography} + - {column: D, row: 1611, expected_value: Males, label: sex} + - {column: E, row: 1611, expected_value: Employee, label: employment type} + - {column: J, row: 1611, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1613 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1613, expected_value: W92000004, label: geography} + - {column: D, row: 1613, expected_value: Males, label: sex} + - {column: E, row: 1613, expected_value: Employee, label: employment type} + - {column: J, row: 1613, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1615 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1615, expected_value: W92000004, label: geography} + - {column: D, row: 1615, expected_value: Males, label: sex} + - {column: E, row: 1615, expected_value: Employee, label: employment type} + - {column: J, row: 1615, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1617 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1617, expected_value: W92000004, label: geography} + - {column: D, row: 1617, expected_value: Males, label: sex} + - {column: E, row: 1617, expected_value: Employee, label: employment type} + - {column: J, row: 1617, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1619 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1619, expected_value: W92000004, label: geography} + - {column: D, row: 1619, expected_value: Males, label: sex} + - {column: E, row: 1619, expected_value: Employee, label: employment type} + - {column: J, row: 1619, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1623 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1623, expected_value: W92000004, label: geography} + - {column: D, row: 1623, expected_value: Males, label: sex} + - {column: E, row: 1623, expected_value: Employee, label: employment type} + - {column: J, row: 1623, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1625 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1625, expected_value: W92000004, label: geography} + - {column: D, row: 1625, expected_value: Males, label: sex} + - {column: E, row: 1625, expected_value: Employee, label: employment type} + - {column: J, row: 1625, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1627 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1627, expected_value: W92000004, label: geography} + - {column: D, row: 1627, expected_value: Males, label: sex} + - {column: E, row: 1627, expected_value: Employee, label: employment type} + - {column: J, row: 1627, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1629 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1629, expected_value: W92000004, label: geography} + - {column: D, row: 1629, expected_value: Males, label: sex} + - {column: E, row: 1629, expected_value: Employee, label: employment type} + - {column: J, row: 1629, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1631 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1631, expected_value: W92000004, label: geography} + - {column: D, row: 1631, expected_value: Males, label: sex} + - {column: E, row: 1631, expected_value: Employee, label: employment type} + - {column: J, row: 1631, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1633 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1633, expected_value: W92000004, label: geography} + - {column: D, row: 1633, expected_value: Males, label: sex} + - {column: E, row: 1633, expected_value: Employee, label: employment type} + - {column: J, row: 1633, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1635 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1635, expected_value: W92000004, label: geography} + - {column: D, row: 1635, expected_value: Males, label: sex} + - {column: E, row: 1635, expected_value: Employee, label: employment type} + - {column: J, row: 1635, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1637 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1637, expected_value: W92000004, label: geography} + - {column: D, row: 1637, expected_value: Males, label: sex} + - {column: E, row: 1637, expected_value: Employee, label: employment type} + - {column: J, row: 1637, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1641 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1641, expected_value: W92000004, label: geography} + - {column: D, row: 1641, expected_value: Males, label: sex} + - {column: E, row: 1641, expected_value: Employee, label: employment type} + - {column: J, row: 1641, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1643 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1643, expected_value: W92000004, label: geography} + - {column: D, row: 1643, expected_value: Males, label: sex} + - {column: E, row: 1643, expected_value: Employee, label: employment type} + - {column: J, row: 1643, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1645 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1645, expected_value: W92000004, label: geography} + - {column: D, row: 1645, expected_value: Males, label: sex} + - {column: E, row: 1645, expected_value: Employee, label: employment type} + - {column: J, row: 1645, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1647 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1647, expected_value: W92000004, label: geography} + - {column: D, row: 1647, expected_value: Males, label: sex} + - {column: E, row: 1647, expected_value: Employee, label: employment type} + - {column: J, row: 1647, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1649 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1649, expected_value: W92000004, label: geography} + - {column: D, row: 1649, expected_value: Males, label: sex} + - {column: E, row: 1649, expected_value: Employee, label: employment type} + - {column: J, row: 1649, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1651 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1651, expected_value: W92000004, label: geography} + - {column: D, row: 1651, expected_value: Males, label: sex} + - {column: E, row: 1651, expected_value: Employee, label: employment type} + - {column: J, row: 1651, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1653 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1653, expected_value: W92000004, label: geography} + - {column: D, row: 1653, expected_value: Males, label: sex} + - {column: E, row: 1653, expected_value: Employee, label: employment type} + - {column: J, row: 1653, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1655 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1655, expected_value: W92000004, label: geography} + - {column: D, row: 1655, expected_value: Males, label: sex} + - {column: E, row: 1655, expected_value: Employee, label: employment type} + - {column: J, row: 1655, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1657 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1657, expected_value: W92000004, label: geography} + - {column: D, row: 1657, expected_value: Males, label: sex} + - {column: E, row: 1657, expected_value: Employee, label: employment type} + - {column: J, row: 1657, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1802 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1802, expected_value: W92000004, label: geography} + - {column: D, row: 1802, expected_value: Males, label: sex} + - {column: E, row: 1802, expected_value: Self-employed, label: employment type} + - {column: J, row: 1802, expected_value: Value, label: measure} + - {column: L, row: 1803, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1804 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1804, expected_value: W92000004, label: geography} + - {column: D, row: 1804, expected_value: Males, label: sex} + - {column: E, row: 1804, expected_value: Self-employed, label: employment type} + - {column: J, row: 1804, expected_value: Value, label: measure} + - {column: L, row: 1805, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1806 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1806, expected_value: W92000004, label: geography} + - {column: D, row: 1806, expected_value: Males, label: sex} + - {column: E, row: 1806, expected_value: Self-employed, label: employment type} + - {column: J, row: 1806, expected_value: Value, label: measure} + - {column: L, row: 1807, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1808 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1808, expected_value: W92000004, label: geography} + - {column: D, row: 1808, expected_value: Males, label: sex} + - {column: E, row: 1808, expected_value: Self-employed, label: employment type} + - {column: J, row: 1808, expected_value: Value, label: measure} + - {column: L, row: 1809, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1810 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1810, expected_value: W92000004, label: geography} + - {column: D, row: 1810, expected_value: Males, label: sex} + - {column: E, row: 1810, expected_value: Self-employed, label: employment type} + - {column: J, row: 1810, expected_value: Value, label: measure} + - {column: L, row: 1811, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1812 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1812, expected_value: W92000004, label: geography} + - {column: D, row: 1812, expected_value: Males, label: sex} + - {column: E, row: 1812, expected_value: Self-employed, label: employment type} + - {column: J, row: 1812, expected_value: Value, label: measure} + - {column: L, row: 1813, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1814 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1814, expected_value: W92000004, label: geography} + - {column: D, row: 1814, expected_value: Males, label: sex} + - {column: E, row: 1814, expected_value: Self-employed, label: employment type} + - {column: J, row: 1814, expected_value: Value, label: measure} + - {column: L, row: 1815, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1816 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1816, expected_value: W92000004, label: geography} + - {column: D, row: 1816, expected_value: Males, label: sex} + - {column: E, row: 1816, expected_value: Self-employed, label: employment type} + - {column: J, row: 1816, expected_value: Value, label: measure} + - {column: L, row: 1817, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1818 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1818, expected_value: W92000004, label: geography} + - {column: D, row: 1818, expected_value: Males, label: sex} + - {column: E, row: 1818, expected_value: Self-employed, label: employment type} + - {column: J, row: 1818, expected_value: Value, label: measure} + - {column: L, row: 1819, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1820 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1820, expected_value: W92000004, label: geography} + - {column: D, row: 1820, expected_value: Males, label: sex} + - {column: E, row: 1820, expected_value: Self-employed, label: employment type} + - {column: J, row: 1820, expected_value: Value, label: measure} + - {column: L, row: 1821, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1822 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1822, expected_value: W92000004, label: geography} + - {column: D, row: 1822, expected_value: Males, label: sex} + - {column: E, row: 1822, expected_value: Self-employed, label: employment type} + - {column: J, row: 1822, expected_value: Value, label: measure} + - {column: L, row: 1823, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1824 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1824, expected_value: W92000004, label: geography} + - {column: D, row: 1824, expected_value: Males, label: sex} + - {column: E, row: 1824, expected_value: Self-employed, label: employment type} + - {column: J, row: 1824, expected_value: Value, label: measure} + - {column: L, row: 1825, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1828 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1828, expected_value: W92000004, label: geography} + - {column: D, row: 1828, expected_value: Males, label: sex} + - {column: E, row: 1828, expected_value: Self-employed, label: employment type} + - {column: J, row: 1828, expected_value: Value, label: measure} + - {column: L, row: 1829, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1830 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1830, expected_value: W92000004, label: geography} + - {column: D, row: 1830, expected_value: Males, label: sex} + - {column: E, row: 1830, expected_value: Self-employed, label: employment type} + - {column: J, row: 1830, expected_value: Value, label: measure} + - {column: L, row: 1831, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1832 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1832, expected_value: W92000004, label: geography} + - {column: D, row: 1832, expected_value: Males, label: sex} + - {column: E, row: 1832, expected_value: Self-employed, label: employment type} + - {column: J, row: 1832, expected_value: Value, label: measure} + - {column: L, row: 1833, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1834 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1834, expected_value: W92000004, label: geography} + - {column: D, row: 1834, expected_value: Males, label: sex} + - {column: E, row: 1834, expected_value: Self-employed, label: employment type} + - {column: J, row: 1834, expected_value: Value, label: measure} + - {column: L, row: 1835, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1838 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1838, expected_value: W92000004, label: geography} + - {column: D, row: 1838, expected_value: Males, label: sex} + - {column: E, row: 1838, expected_value: Self-employed, label: employment type} + - {column: J, row: 1838, expected_value: Value, label: measure} + - {column: L, row: 1839, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1840 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1840, expected_value: W92000004, label: geography} + - {column: D, row: 1840, expected_value: Males, label: sex} + - {column: E, row: 1840, expected_value: Self-employed, label: employment type} + - {column: J, row: 1840, expected_value: Value, label: measure} + - {column: L, row: 1841, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1842 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1842, expected_value: W92000004, label: geography} + - {column: D, row: 1842, expected_value: Males, label: sex} + - {column: E, row: 1842, expected_value: Self-employed, label: employment type} + - {column: J, row: 1842, expected_value: Value, label: measure} + - {column: L, row: 1843, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1844 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1844, expected_value: W92000004, label: geography} + - {column: D, row: 1844, expected_value: Males, label: sex} + - {column: E, row: 1844, expected_value: Self-employed, label: employment type} + - {column: J, row: 1844, expected_value: Value, label: measure} + - {column: L, row: 1845, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1846 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1846, expected_value: W92000004, label: geography} + - {column: D, row: 1846, expected_value: Males, label: sex} + - {column: E, row: 1846, expected_value: Self-employed, label: employment type} + - {column: J, row: 1846, expected_value: Value, label: measure} + - {column: L, row: 1847, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1848 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1848, expected_value: W92000004, label: geography} + - {column: D, row: 1848, expected_value: Males, label: sex} + - {column: E, row: 1848, expected_value: Self-employed, label: employment type} + - {column: J, row: 1848, expected_value: Value, label: measure} + - {column: L, row: 1849, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1850 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1850, expected_value: W92000004, label: geography} + - {column: D, row: 1850, expected_value: Males, label: sex} + - {column: E, row: 1850, expected_value: Self-employed, label: employment type} + - {column: J, row: 1850, expected_value: Value, label: measure} + - {column: L, row: 1851, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1852 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1852, expected_value: W92000004, label: geography} + - {column: D, row: 1852, expected_value: Males, label: sex} + - {column: E, row: 1852, expected_value: Self-employed, label: employment type} + - {column: J, row: 1852, expected_value: Value, label: measure} + - {column: L, row: 1853, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1856 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1856, expected_value: W92000004, label: geography} + - {column: D, row: 1856, expected_value: Males, label: sex} + - {column: E, row: 1856, expected_value: Self-employed, label: employment type} + - {column: J, row: 1856, expected_value: Value, label: measure} + - {column: L, row: 1857, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1858 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1858, expected_value: W92000004, label: geography} + - {column: D, row: 1858, expected_value: Males, label: sex} + - {column: E, row: 1858, expected_value: Self-employed, label: employment type} + - {column: J, row: 1858, expected_value: Value, label: measure} + - {column: L, row: 1859, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1862 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1862, expected_value: W92000004, label: geography} + - {column: D, row: 1862, expected_value: Males, label: sex} + - {column: E, row: 1862, expected_value: Self-employed, label: employment type} + - {column: J, row: 1862, expected_value: Value, label: measure} + - {column: L, row: 1863, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1864 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1864, expected_value: W92000004, label: geography} + - {column: D, row: 1864, expected_value: Males, label: sex} + - {column: E, row: 1864, expected_value: Self-employed, label: employment type} + - {column: J, row: 1864, expected_value: Value, label: measure} + - {column: L, row: 1865, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1866 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1866, expected_value: W92000004, label: geography} + - {column: D, row: 1866, expected_value: Males, label: sex} + - {column: E, row: 1866, expected_value: Self-employed, label: employment type} + - {column: J, row: 1866, expected_value: Value, label: measure} + - {column: L, row: 1867, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1868 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1868, expected_value: W92000004, label: geography} + - {column: D, row: 1868, expected_value: Males, label: sex} + - {column: E, row: 1868, expected_value: Self-employed, label: employment type} + - {column: J, row: 1868, expected_value: Value, label: measure} + - {column: L, row: 1869, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1870 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1870, expected_value: W92000004, label: geography} + - {column: D, row: 1870, expected_value: Males, label: sex} + - {column: E, row: 1870, expected_value: Self-employed, label: employment type} + - {column: J, row: 1870, expected_value: Value, label: measure} + - {column: L, row: 1871, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1872 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1872, expected_value: W92000004, label: geography} + - {column: D, row: 1872, expected_value: Males, label: sex} + - {column: E, row: 1872, expected_value: Self-employed, label: employment type} + - {column: J, row: 1872, expected_value: Value, label: measure} + - {column: L, row: 1873, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1803 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1803, expected_value: W92000004, label: geography} + - {column: D, row: 1803, expected_value: Males, label: sex} + - {column: E, row: 1803, expected_value: Self-employed, label: employment type} + - {column: J, row: 1803, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1805 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1805, expected_value: W92000004, label: geography} + - {column: D, row: 1805, expected_value: Males, label: sex} + - {column: E, row: 1805, expected_value: Self-employed, label: employment type} + - {column: J, row: 1805, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1807 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1807, expected_value: W92000004, label: geography} + - {column: D, row: 1807, expected_value: Males, label: sex} + - {column: E, row: 1807, expected_value: Self-employed, label: employment type} + - {column: J, row: 1807, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1809 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1809, expected_value: W92000004, label: geography} + - {column: D, row: 1809, expected_value: Males, label: sex} + - {column: E, row: 1809, expected_value: Self-employed, label: employment type} + - {column: J, row: 1809, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1811 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1811, expected_value: W92000004, label: geography} + - {column: D, row: 1811, expected_value: Males, label: sex} + - {column: E, row: 1811, expected_value: Self-employed, label: employment type} + - {column: J, row: 1811, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1813 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1813, expected_value: W92000004, label: geography} + - {column: D, row: 1813, expected_value: Males, label: sex} + - {column: E, row: 1813, expected_value: Self-employed, label: employment type} + - {column: J, row: 1813, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1819 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1819, expected_value: W92000004, label: geography} + - {column: D, row: 1819, expected_value: Males, label: sex} + - {column: E, row: 1819, expected_value: Self-employed, label: employment type} + - {column: J, row: 1819, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1821 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1821, expected_value: W92000004, label: geography} + - {column: D, row: 1821, expected_value: Males, label: sex} + - {column: E, row: 1821, expected_value: Self-employed, label: employment type} + - {column: J, row: 1821, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1823 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1823, expected_value: W92000004, label: geography} + - {column: D, row: 1823, expected_value: Males, label: sex} + - {column: E, row: 1823, expected_value: Self-employed, label: employment type} + - {column: J, row: 1823, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1829 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1829, expected_value: W92000004, label: geography} + - {column: D, row: 1829, expected_value: Males, label: sex} + - {column: E, row: 1829, expected_value: Self-employed, label: employment type} + - {column: J, row: 1829, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1831 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1831, expected_value: W92000004, label: geography} + - {column: D, row: 1831, expected_value: Males, label: sex} + - {column: E, row: 1831, expected_value: Self-employed, label: employment type} + - {column: J, row: 1831, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1839 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1839, expected_value: W92000004, label: geography} + - {column: D, row: 1839, expected_value: Males, label: sex} + - {column: E, row: 1839, expected_value: Self-employed, label: employment type} + - {column: J, row: 1839, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1841 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1841, expected_value: W92000004, label: geography} + - {column: D, row: 1841, expected_value: Males, label: sex} + - {column: E, row: 1841, expected_value: Self-employed, label: employment type} + - {column: J, row: 1841, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1843 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1843, expected_value: W92000004, label: geography} + - {column: D, row: 1843, expected_value: Males, label: sex} + - {column: E, row: 1843, expected_value: Self-employed, label: employment type} + - {column: J, row: 1843, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1845 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1845, expected_value: W92000004, label: geography} + - {column: D, row: 1845, expected_value: Males, label: sex} + - {column: E, row: 1845, expected_value: Self-employed, label: employment type} + - {column: J, row: 1845, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1847 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1847, expected_value: W92000004, label: geography} + - {column: D, row: 1847, expected_value: Males, label: sex} + - {column: E, row: 1847, expected_value: Self-employed, label: employment type} + - {column: J, row: 1847, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1857 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1857, expected_value: W92000004, label: geography} + - {column: D, row: 1857, expected_value: Males, label: sex} + - {column: E, row: 1857, expected_value: Self-employed, label: employment type} + - {column: J, row: 1857, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1859 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1859, expected_value: W92000004, label: geography} + - {column: D, row: 1859, expected_value: Males, label: sex} + - {column: E, row: 1859, expected_value: Self-employed, label: employment type} + - {column: J, row: 1859, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1863 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1863, expected_value: W92000004, label: geography} + - {column: D, row: 1863, expected_value: Males, label: sex} + - {column: E, row: 1863, expected_value: Self-employed, label: employment type} + - {column: J, row: 1863, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1865 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1865, expected_value: W92000004, label: geography} + - {column: D, row: 1865, expected_value: Males, label: sex} + - {column: E, row: 1865, expected_value: Self-employed, label: employment type} + - {column: J, row: 1865, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1867 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1867, expected_value: W92000004, label: geography} + - {column: D, row: 1867, expected_value: Males, label: sex} + - {column: E, row: 1867, expected_value: Self-employed, label: employment type} + - {column: J, row: 1867, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1869 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1869, expected_value: W92000004, label: geography} + - {column: D, row: 1869, expected_value: Males, label: sex} + - {column: E, row: 1869, expected_value: Self-employed, label: employment type} + - {column: J, row: 1869, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1871 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1871, expected_value: W92000004, label: geography} + - {column: D, row: 1871, expected_value: Males, label: sex} + - {column: E, row: 1871, expected_value: Self-employed, label: employment type} + - {column: J, row: 1871, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1873 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1873, expected_value: W92000004, label: geography} + - {column: D, row: 1873, expected_value: Males, label: sex} + - {column: E, row: 1873, expected_value: Self-employed, label: employment type} + - {column: J, row: 1873, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1442 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1442, expected_value: W92000004, label: geography} + - {column: D, row: 1442, expected_value: Females, label: sex} + - {column: E, row: 1442, expected_value: Total, label: employment type} + - {column: J, row: 1442, expected_value: Value, label: measure} + - {column: L, row: 1443, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1444 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1444, expected_value: W92000004, label: geography} + - {column: D, row: 1444, expected_value: Females, label: sex} + - {column: E, row: 1444, expected_value: Total, label: employment type} + - {column: J, row: 1444, expected_value: Value, label: measure} + - {column: L, row: 1445, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1446 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1446, expected_value: W92000004, label: geography} + - {column: D, row: 1446, expected_value: Females, label: sex} + - {column: E, row: 1446, expected_value: Total, label: employment type} + - {column: J, row: 1446, expected_value: Value, label: measure} + - {column: L, row: 1447, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1448 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1448, expected_value: W92000004, label: geography} + - {column: D, row: 1448, expected_value: Females, label: sex} + - {column: E, row: 1448, expected_value: Total, label: employment type} + - {column: J, row: 1448, expected_value: Value, label: measure} + - {column: L, row: 1449, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1450 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1450, expected_value: W92000004, label: geography} + - {column: D, row: 1450, expected_value: Females, label: sex} + - {column: E, row: 1450, expected_value: Total, label: employment type} + - {column: J, row: 1450, expected_value: Value, label: measure} + - {column: L, row: 1451, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1452 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1452, expected_value: W92000004, label: geography} + - {column: D, row: 1452, expected_value: Females, label: sex} + - {column: E, row: 1452, expected_value: Total, label: employment type} + - {column: J, row: 1452, expected_value: Value, label: measure} + - {column: L, row: 1453, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1454 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1454, expected_value: W92000004, label: geography} + - {column: D, row: 1454, expected_value: Females, label: sex} + - {column: E, row: 1454, expected_value: Total, label: employment type} + - {column: J, row: 1454, expected_value: Value, label: measure} + - {column: L, row: 1455, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1456 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1456, expected_value: W92000004, label: geography} + - {column: D, row: 1456, expected_value: Females, label: sex} + - {column: E, row: 1456, expected_value: Total, label: employment type} + - {column: J, row: 1456, expected_value: Value, label: measure} + - {column: L, row: 1457, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1458 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1458, expected_value: W92000004, label: geography} + - {column: D, row: 1458, expected_value: Females, label: sex} + - {column: E, row: 1458, expected_value: Total, label: employment type} + - {column: J, row: 1458, expected_value: Value, label: measure} + - {column: L, row: 1459, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1460 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1460, expected_value: W92000004, label: geography} + - {column: D, row: 1460, expected_value: Females, label: sex} + - {column: E, row: 1460, expected_value: Total, label: employment type} + - {column: J, row: 1460, expected_value: Value, label: measure} + - {column: L, row: 1461, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1462 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1462, expected_value: W92000004, label: geography} + - {column: D, row: 1462, expected_value: Females, label: sex} + - {column: E, row: 1462, expected_value: Total, label: employment type} + - {column: J, row: 1462, expected_value: Value, label: measure} + - {column: L, row: 1463, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1464 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1464, expected_value: W92000004, label: geography} + - {column: D, row: 1464, expected_value: Females, label: sex} + - {column: E, row: 1464, expected_value: Total, label: employment type} + - {column: J, row: 1464, expected_value: Value, label: measure} + - {column: L, row: 1465, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1466 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1466, expected_value: W92000004, label: geography} + - {column: D, row: 1466, expected_value: Females, label: sex} + - {column: E, row: 1466, expected_value: Total, label: employment type} + - {column: J, row: 1466, expected_value: Value, label: measure} + - {column: L, row: 1467, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1468 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1468, expected_value: W92000004, label: geography} + - {column: D, row: 1468, expected_value: Females, label: sex} + - {column: E, row: 1468, expected_value: Total, label: employment type} + - {column: J, row: 1468, expected_value: Value, label: measure} + - {column: L, row: 1469, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1470 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1470, expected_value: W92000004, label: geography} + - {column: D, row: 1470, expected_value: Females, label: sex} + - {column: E, row: 1470, expected_value: Total, label: employment type} + - {column: J, row: 1470, expected_value: Value, label: measure} + - {column: L, row: 1471, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1472 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1472, expected_value: W92000004, label: geography} + - {column: D, row: 1472, expected_value: Females, label: sex} + - {column: E, row: 1472, expected_value: Total, label: employment type} + - {column: J, row: 1472, expected_value: Value, label: measure} + - {column: L, row: 1473, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1474 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1474, expected_value: W92000004, label: geography} + - {column: D, row: 1474, expected_value: Females, label: sex} + - {column: E, row: 1474, expected_value: Total, label: employment type} + - {column: J, row: 1474, expected_value: Value, label: measure} + - {column: L, row: 1475, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1476 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1476, expected_value: W92000004, label: geography} + - {column: D, row: 1476, expected_value: Females, label: sex} + - {column: E, row: 1476, expected_value: Total, label: employment type} + - {column: J, row: 1476, expected_value: Value, label: measure} + - {column: L, row: 1477, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1478 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1478, expected_value: W92000004, label: geography} + - {column: D, row: 1478, expected_value: Females, label: sex} + - {column: E, row: 1478, expected_value: Total, label: employment type} + - {column: J, row: 1478, expected_value: Value, label: measure} + - {column: L, row: 1479, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1480 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1480, expected_value: W92000004, label: geography} + - {column: D, row: 1480, expected_value: Females, label: sex} + - {column: E, row: 1480, expected_value: Total, label: employment type} + - {column: J, row: 1480, expected_value: Value, label: measure} + - {column: L, row: 1481, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1482 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1482, expected_value: W92000004, label: geography} + - {column: D, row: 1482, expected_value: Females, label: sex} + - {column: E, row: 1482, expected_value: Total, label: employment type} + - {column: J, row: 1482, expected_value: Value, label: measure} + - {column: L, row: 1483, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1484 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1484, expected_value: W92000004, label: geography} + - {column: D, row: 1484, expected_value: Females, label: sex} + - {column: E, row: 1484, expected_value: Total, label: employment type} + - {column: J, row: 1484, expected_value: Value, label: measure} + - {column: L, row: 1485, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1486 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1486, expected_value: W92000004, label: geography} + - {column: D, row: 1486, expected_value: Females, label: sex} + - {column: E, row: 1486, expected_value: Total, label: employment type} + - {column: J, row: 1486, expected_value: Value, label: measure} + - {column: L, row: 1487, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1488 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1488, expected_value: W92000004, label: geography} + - {column: D, row: 1488, expected_value: Females, label: sex} + - {column: E, row: 1488, expected_value: Total, label: employment type} + - {column: J, row: 1488, expected_value: Value, label: measure} + - {column: L, row: 1489, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1490 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1490, expected_value: W92000004, label: geography} + - {column: D, row: 1490, expected_value: Females, label: sex} + - {column: E, row: 1490, expected_value: Total, label: employment type} + - {column: J, row: 1490, expected_value: Value, label: measure} + - {column: L, row: 1491, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1492 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1492, expected_value: W92000004, label: geography} + - {column: D, row: 1492, expected_value: Females, label: sex} + - {column: E, row: 1492, expected_value: Total, label: employment type} + - {column: J, row: 1492, expected_value: Value, label: measure} + - {column: L, row: 1493, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1496 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1496, expected_value: W92000004, label: geography} + - {column: D, row: 1496, expected_value: Females, label: sex} + - {column: E, row: 1496, expected_value: Total, label: employment type} + - {column: J, row: 1496, expected_value: Value, label: measure} + - {column: L, row: 1497, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1498 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1498, expected_value: W92000004, label: geography} + - {column: D, row: 1498, expected_value: Females, label: sex} + - {column: E, row: 1498, expected_value: Total, label: employment type} + - {column: J, row: 1498, expected_value: Value, label: measure} + - {column: L, row: 1499, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1500 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1500, expected_value: W92000004, label: geography} + - {column: D, row: 1500, expected_value: Females, label: sex} + - {column: E, row: 1500, expected_value: Total, label: employment type} + - {column: J, row: 1500, expected_value: Value, label: measure} + - {column: L, row: 1501, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1502 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1502, expected_value: W92000004, label: geography} + - {column: D, row: 1502, expected_value: Females, label: sex} + - {column: E, row: 1502, expected_value: Total, label: employment type} + - {column: J, row: 1502, expected_value: Value, label: measure} + - {column: L, row: 1503, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1504 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1504, expected_value: W92000004, label: geography} + - {column: D, row: 1504, expected_value: Females, label: sex} + - {column: E, row: 1504, expected_value: Total, label: employment type} + - {column: J, row: 1504, expected_value: Value, label: measure} + - {column: L, row: 1505, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1506 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1506, expected_value: W92000004, label: geography} + - {column: D, row: 1506, expected_value: Females, label: sex} + - {column: E, row: 1506, expected_value: Total, label: employment type} + - {column: J, row: 1506, expected_value: Value, label: measure} + - {column: L, row: 1507, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1508 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1508, expected_value: W92000004, label: geography} + - {column: D, row: 1508, expected_value: Females, label: sex} + - {column: E, row: 1508, expected_value: Total, label: employment type} + - {column: J, row: 1508, expected_value: Value, label: measure} + - {column: L, row: 1509, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1510 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1510, expected_value: W92000004, label: geography} + - {column: D, row: 1510, expected_value: Females, label: sex} + - {column: E, row: 1510, expected_value: Total, label: employment type} + - {column: J, row: 1510, expected_value: Value, label: measure} + - {column: L, row: 1511, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1512 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1512, expected_value: W92000004, label: geography} + - {column: D, row: 1512, expected_value: Females, label: sex} + - {column: E, row: 1512, expected_value: Total, label: employment type} + - {column: J, row: 1512, expected_value: Value, label: measure} + - {column: L, row: 1513, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1443 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1443, expected_value: W92000004, label: geography} + - {column: D, row: 1443, expected_value: Females, label: sex} + - {column: E, row: 1443, expected_value: Total, label: employment type} + - {column: J, row: 1443, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1445 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1445, expected_value: W92000004, label: geography} + - {column: D, row: 1445, expected_value: Females, label: sex} + - {column: E, row: 1445, expected_value: Total, label: employment type} + - {column: J, row: 1445, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1447 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1447, expected_value: W92000004, label: geography} + - {column: D, row: 1447, expected_value: Females, label: sex} + - {column: E, row: 1447, expected_value: Total, label: employment type} + - {column: J, row: 1447, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1449 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1449, expected_value: W92000004, label: geography} + - {column: D, row: 1449, expected_value: Females, label: sex} + - {column: E, row: 1449, expected_value: Total, label: employment type} + - {column: J, row: 1449, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1451 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1451, expected_value: W92000004, label: geography} + - {column: D, row: 1451, expected_value: Females, label: sex} + - {column: E, row: 1451, expected_value: Total, label: employment type} + - {column: J, row: 1451, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1453 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1453, expected_value: W92000004, label: geography} + - {column: D, row: 1453, expected_value: Females, label: sex} + - {column: E, row: 1453, expected_value: Total, label: employment type} + - {column: J, row: 1453, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1455 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1455, expected_value: W92000004, label: geography} + - {column: D, row: 1455, expected_value: Females, label: sex} + - {column: E, row: 1455, expected_value: Total, label: employment type} + - {column: J, row: 1455, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1457 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1457, expected_value: W92000004, label: geography} + - {column: D, row: 1457, expected_value: Females, label: sex} + - {column: E, row: 1457, expected_value: Total, label: employment type} + - {column: J, row: 1457, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1459 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1459, expected_value: W92000004, label: geography} + - {column: D, row: 1459, expected_value: Females, label: sex} + - {column: E, row: 1459, expected_value: Total, label: employment type} + - {column: J, row: 1459, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1461 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1461, expected_value: W92000004, label: geography} + - {column: D, row: 1461, expected_value: Females, label: sex} + - {column: E, row: 1461, expected_value: Total, label: employment type} + - {column: J, row: 1461, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1463 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1463, expected_value: W92000004, label: geography} + - {column: D, row: 1463, expected_value: Females, label: sex} + - {column: E, row: 1463, expected_value: Total, label: employment type} + - {column: J, row: 1463, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1465 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1465, expected_value: W92000004, label: geography} + - {column: D, row: 1465, expected_value: Females, label: sex} + - {column: E, row: 1465, expected_value: Total, label: employment type} + - {column: J, row: 1465, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1467 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1467, expected_value: W92000004, label: geography} + - {column: D, row: 1467, expected_value: Females, label: sex} + - {column: E, row: 1467, expected_value: Total, label: employment type} + - {column: J, row: 1467, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1469 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1469, expected_value: W92000004, label: geography} + - {column: D, row: 1469, expected_value: Females, label: sex} + - {column: E, row: 1469, expected_value: Total, label: employment type} + - {column: J, row: 1469, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1471 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1471, expected_value: W92000004, label: geography} + - {column: D, row: 1471, expected_value: Females, label: sex} + - {column: E, row: 1471, expected_value: Total, label: employment type} + - {column: J, row: 1471, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1473 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1473, expected_value: W92000004, label: geography} + - {column: D, row: 1473, expected_value: Females, label: sex} + - {column: E, row: 1473, expected_value: Total, label: employment type} + - {column: J, row: 1473, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1475 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1475, expected_value: W92000004, label: geography} + - {column: D, row: 1475, expected_value: Females, label: sex} + - {column: E, row: 1475, expected_value: Total, label: employment type} + - {column: J, row: 1475, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1477 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1477, expected_value: W92000004, label: geography} + - {column: D, row: 1477, expected_value: Females, label: sex} + - {column: E, row: 1477, expected_value: Total, label: employment type} + - {column: J, row: 1477, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1479 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1479, expected_value: W92000004, label: geography} + - {column: D, row: 1479, expected_value: Females, label: sex} + - {column: E, row: 1479, expected_value: Total, label: employment type} + - {column: J, row: 1479, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1481 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1481, expected_value: W92000004, label: geography} + - {column: D, row: 1481, expected_value: Females, label: sex} + - {column: E, row: 1481, expected_value: Total, label: employment type} + - {column: J, row: 1481, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1487 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1487, expected_value: W92000004, label: geography} + - {column: D, row: 1487, expected_value: Females, label: sex} + - {column: E, row: 1487, expected_value: Total, label: employment type} + - {column: J, row: 1487, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1489 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1489, expected_value: W92000004, label: geography} + - {column: D, row: 1489, expected_value: Females, label: sex} + - {column: E, row: 1489, expected_value: Total, label: employment type} + - {column: J, row: 1489, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1491 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1491, expected_value: W92000004, label: geography} + - {column: D, row: 1491, expected_value: Females, label: sex} + - {column: E, row: 1491, expected_value: Total, label: employment type} + - {column: J, row: 1491, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1493 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1493, expected_value: W92000004, label: geography} + - {column: D, row: 1493, expected_value: Females, label: sex} + - {column: E, row: 1493, expected_value: Total, label: employment type} + - {column: J, row: 1493, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1497 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1497, expected_value: W92000004, label: geography} + - {column: D, row: 1497, expected_value: Females, label: sex} + - {column: E, row: 1497, expected_value: Total, label: employment type} + - {column: J, row: 1497, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1499 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1499, expected_value: W92000004, label: geography} + - {column: D, row: 1499, expected_value: Females, label: sex} + - {column: E, row: 1499, expected_value: Total, label: employment type} + - {column: J, row: 1499, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1501 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1501, expected_value: W92000004, label: geography} + - {column: D, row: 1501, expected_value: Females, label: sex} + - {column: E, row: 1501, expected_value: Total, label: employment type} + - {column: J, row: 1501, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1503 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1503, expected_value: W92000004, label: geography} + - {column: D, row: 1503, expected_value: Females, label: sex} + - {column: E, row: 1503, expected_value: Total, label: employment type} + - {column: J, row: 1503, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1505 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1505, expected_value: W92000004, label: geography} + - {column: D, row: 1505, expected_value: Females, label: sex} + - {column: E, row: 1505, expected_value: Total, label: employment type} + - {column: J, row: 1505, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1507 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1507, expected_value: W92000004, label: geography} + - {column: D, row: 1507, expected_value: Females, label: sex} + - {column: E, row: 1507, expected_value: Total, label: employment type} + - {column: J, row: 1507, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1509 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1509, expected_value: W92000004, label: geography} + - {column: D, row: 1509, expected_value: Females, label: sex} + - {column: E, row: 1509, expected_value: Total, label: employment type} + - {column: J, row: 1509, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1511 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1511, expected_value: W92000004, label: geography} + - {column: D, row: 1511, expected_value: Females, label: sex} + - {column: E, row: 1511, expected_value: Total, label: employment type} + - {column: J, row: 1511, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1513 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1513, expected_value: W92000004, label: geography} + - {column: D, row: 1513, expected_value: Females, label: sex} + - {column: E, row: 1513, expected_value: Total, label: employment type} + - {column: J, row: 1513, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1658 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1658, expected_value: W92000004, label: geography} + - {column: D, row: 1658, expected_value: Females, label: sex} + - {column: E, row: 1658, expected_value: Employee, label: employment type} + - {column: J, row: 1658, expected_value: Value, label: measure} + - {column: L, row: 1659, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1660 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1660, expected_value: W92000004, label: geography} + - {column: D, row: 1660, expected_value: Females, label: sex} + - {column: E, row: 1660, expected_value: Employee, label: employment type} + - {column: J, row: 1660, expected_value: Value, label: measure} + - {column: L, row: 1661, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1662 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1662, expected_value: W92000004, label: geography} + - {column: D, row: 1662, expected_value: Females, label: sex} + - {column: E, row: 1662, expected_value: Employee, label: employment type} + - {column: J, row: 1662, expected_value: Value, label: measure} + - {column: L, row: 1663, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1664 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1664, expected_value: W92000004, label: geography} + - {column: D, row: 1664, expected_value: Females, label: sex} + - {column: E, row: 1664, expected_value: Employee, label: employment type} + - {column: J, row: 1664, expected_value: Value, label: measure} + - {column: L, row: 1665, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1666 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1666, expected_value: W92000004, label: geography} + - {column: D, row: 1666, expected_value: Females, label: sex} + - {column: E, row: 1666, expected_value: Employee, label: employment type} + - {column: J, row: 1666, expected_value: Value, label: measure} + - {column: L, row: 1667, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1668 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1668, expected_value: W92000004, label: geography} + - {column: D, row: 1668, expected_value: Females, label: sex} + - {column: E, row: 1668, expected_value: Employee, label: employment type} + - {column: J, row: 1668, expected_value: Value, label: measure} + - {column: L, row: 1669, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1670 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1670, expected_value: W92000004, label: geography} + - {column: D, row: 1670, expected_value: Females, label: sex} + - {column: E, row: 1670, expected_value: Employee, label: employment type} + - {column: J, row: 1670, expected_value: Value, label: measure} + - {column: L, row: 1671, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1672 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1672, expected_value: W92000004, label: geography} + - {column: D, row: 1672, expected_value: Females, label: sex} + - {column: E, row: 1672, expected_value: Employee, label: employment type} + - {column: J, row: 1672, expected_value: Value, label: measure} + - {column: L, row: 1673, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1674 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1674, expected_value: W92000004, label: geography} + - {column: D, row: 1674, expected_value: Females, label: sex} + - {column: E, row: 1674, expected_value: Employee, label: employment type} + - {column: J, row: 1674, expected_value: Value, label: measure} + - {column: L, row: 1675, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1676 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1676, expected_value: W92000004, label: geography} + - {column: D, row: 1676, expected_value: Females, label: sex} + - {column: E, row: 1676, expected_value: Employee, label: employment type} + - {column: J, row: 1676, expected_value: Value, label: measure} + - {column: L, row: 1677, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1678 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1678, expected_value: W92000004, label: geography} + - {column: D, row: 1678, expected_value: Females, label: sex} + - {column: E, row: 1678, expected_value: Employee, label: employment type} + - {column: J, row: 1678, expected_value: Value, label: measure} + - {column: L, row: 1679, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1680 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1680, expected_value: W92000004, label: geography} + - {column: D, row: 1680, expected_value: Females, label: sex} + - {column: E, row: 1680, expected_value: Employee, label: employment type} + - {column: J, row: 1680, expected_value: Value, label: measure} + - {column: L, row: 1681, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1682 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1682, expected_value: W92000004, label: geography} + - {column: D, row: 1682, expected_value: Females, label: sex} + - {column: E, row: 1682, expected_value: Employee, label: employment type} + - {column: J, row: 1682, expected_value: Value, label: measure} + - {column: L, row: 1683, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1684 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1684, expected_value: W92000004, label: geography} + - {column: D, row: 1684, expected_value: Females, label: sex} + - {column: E, row: 1684, expected_value: Employee, label: employment type} + - {column: J, row: 1684, expected_value: Value, label: measure} + - {column: L, row: 1685, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1686 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1686, expected_value: W92000004, label: geography} + - {column: D, row: 1686, expected_value: Females, label: sex} + - {column: E, row: 1686, expected_value: Employee, label: employment type} + - {column: J, row: 1686, expected_value: Value, label: measure} + - {column: L, row: 1687, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1688 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1688, expected_value: W92000004, label: geography} + - {column: D, row: 1688, expected_value: Females, label: sex} + - {column: E, row: 1688, expected_value: Employee, label: employment type} + - {column: J, row: 1688, expected_value: Value, label: measure} + - {column: L, row: 1689, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1690 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1690, expected_value: W92000004, label: geography} + - {column: D, row: 1690, expected_value: Females, label: sex} + - {column: E, row: 1690, expected_value: Employee, label: employment type} + - {column: J, row: 1690, expected_value: Value, label: measure} + - {column: L, row: 1691, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1692 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1692, expected_value: W92000004, label: geography} + - {column: D, row: 1692, expected_value: Females, label: sex} + - {column: E, row: 1692, expected_value: Employee, label: employment type} + - {column: J, row: 1692, expected_value: Value, label: measure} + - {column: L, row: 1693, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1694 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1694, expected_value: W92000004, label: geography} + - {column: D, row: 1694, expected_value: Females, label: sex} + - {column: E, row: 1694, expected_value: Employee, label: employment type} + - {column: J, row: 1694, expected_value: Value, label: measure} + - {column: L, row: 1695, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1696 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1696, expected_value: W92000004, label: geography} + - {column: D, row: 1696, expected_value: Females, label: sex} + - {column: E, row: 1696, expected_value: Employee, label: employment type} + - {column: J, row: 1696, expected_value: Value, label: measure} + - {column: L, row: 1697, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1698 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1698, expected_value: W92000004, label: geography} + - {column: D, row: 1698, expected_value: Females, label: sex} + - {column: E, row: 1698, expected_value: Employee, label: employment type} + - {column: J, row: 1698, expected_value: Value, label: measure} + - {column: L, row: 1699, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1700 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1700, expected_value: W92000004, label: geography} + - {column: D, row: 1700, expected_value: Females, label: sex} + - {column: E, row: 1700, expected_value: Employee, label: employment type} + - {column: J, row: 1700, expected_value: Value, label: measure} + - {column: L, row: 1701, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1702 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1702, expected_value: W92000004, label: geography} + - {column: D, row: 1702, expected_value: Females, label: sex} + - {column: E, row: 1702, expected_value: Employee, label: employment type} + - {column: J, row: 1702, expected_value: Value, label: measure} + - {column: L, row: 1703, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1704 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1704, expected_value: W92000004, label: geography} + - {column: D, row: 1704, expected_value: Females, label: sex} + - {column: E, row: 1704, expected_value: Employee, label: employment type} + - {column: J, row: 1704, expected_value: Value, label: measure} + - {column: L, row: 1705, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1706 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1706, expected_value: W92000004, label: geography} + - {column: D, row: 1706, expected_value: Females, label: sex} + - {column: E, row: 1706, expected_value: Employee, label: employment type} + - {column: J, row: 1706, expected_value: Value, label: measure} + - {column: L, row: 1707, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1708 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1708, expected_value: W92000004, label: geography} + - {column: D, row: 1708, expected_value: Females, label: sex} + - {column: E, row: 1708, expected_value: Employee, label: employment type} + - {column: J, row: 1708, expected_value: Value, label: measure} + - {column: L, row: 1709, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1712 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1712, expected_value: W92000004, label: geography} + - {column: D, row: 1712, expected_value: Females, label: sex} + - {column: E, row: 1712, expected_value: Employee, label: employment type} + - {column: J, row: 1712, expected_value: Value, label: measure} + - {column: L, row: 1713, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1714 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1714, expected_value: W92000004, label: geography} + - {column: D, row: 1714, expected_value: Females, label: sex} + - {column: E, row: 1714, expected_value: Employee, label: employment type} + - {column: J, row: 1714, expected_value: Value, label: measure} + - {column: L, row: 1715, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1716 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1716, expected_value: W92000004, label: geography} + - {column: D, row: 1716, expected_value: Females, label: sex} + - {column: E, row: 1716, expected_value: Employee, label: employment type} + - {column: J, row: 1716, expected_value: Value, label: measure} + - {column: L, row: 1717, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1718 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1718, expected_value: W92000004, label: geography} + - {column: D, row: 1718, expected_value: Females, label: sex} + - {column: E, row: 1718, expected_value: Employee, label: employment type} + - {column: J, row: 1718, expected_value: Value, label: measure} + - {column: L, row: 1719, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1720 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1720, expected_value: W92000004, label: geography} + - {column: D, row: 1720, expected_value: Females, label: sex} + - {column: E, row: 1720, expected_value: Employee, label: employment type} + - {column: J, row: 1720, expected_value: Value, label: measure} + - {column: L, row: 1721, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1722 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1722, expected_value: W92000004, label: geography} + - {column: D, row: 1722, expected_value: Females, label: sex} + - {column: E, row: 1722, expected_value: Employee, label: employment type} + - {column: J, row: 1722, expected_value: Value, label: measure} + - {column: L, row: 1723, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1724 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1724, expected_value: W92000004, label: geography} + - {column: D, row: 1724, expected_value: Females, label: sex} + - {column: E, row: 1724, expected_value: Employee, label: employment type} + - {column: J, row: 1724, expected_value: Value, label: measure} + - {column: L, row: 1725, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1726 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1726, expected_value: W92000004, label: geography} + - {column: D, row: 1726, expected_value: Females, label: sex} + - {column: E, row: 1726, expected_value: Employee, label: employment type} + - {column: J, row: 1726, expected_value: Value, label: measure} + - {column: L, row: 1727, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1728 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1728, expected_value: W92000004, label: geography} + - {column: D, row: 1728, expected_value: Females, label: sex} + - {column: E, row: 1728, expected_value: Employee, label: employment type} + - {column: J, row: 1728, expected_value: Value, label: measure} + - {column: L, row: 1729, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1659 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1659, expected_value: W92000004, label: geography} + - {column: D, row: 1659, expected_value: Females, label: sex} + - {column: E, row: 1659, expected_value: Employee, label: employment type} + - {column: J, row: 1659, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1661 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1661, expected_value: W92000004, label: geography} + - {column: D, row: 1661, expected_value: Females, label: sex} + - {column: E, row: 1661, expected_value: Employee, label: employment type} + - {column: J, row: 1661, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1663 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1663, expected_value: W92000004, label: geography} + - {column: D, row: 1663, expected_value: Females, label: sex} + - {column: E, row: 1663, expected_value: Employee, label: employment type} + - {column: J, row: 1663, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1665 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1665, expected_value: W92000004, label: geography} + - {column: D, row: 1665, expected_value: Females, label: sex} + - {column: E, row: 1665, expected_value: Employee, label: employment type} + - {column: J, row: 1665, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1667 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1667, expected_value: W92000004, label: geography} + - {column: D, row: 1667, expected_value: Females, label: sex} + - {column: E, row: 1667, expected_value: Employee, label: employment type} + - {column: J, row: 1667, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1669 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1669, expected_value: W92000004, label: geography} + - {column: D, row: 1669, expected_value: Females, label: sex} + - {column: E, row: 1669, expected_value: Employee, label: employment type} + - {column: J, row: 1669, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1671 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1671, expected_value: W92000004, label: geography} + - {column: D, row: 1671, expected_value: Females, label: sex} + - {column: E, row: 1671, expected_value: Employee, label: employment type} + - {column: J, row: 1671, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1673 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1673, expected_value: W92000004, label: geography} + - {column: D, row: 1673, expected_value: Females, label: sex} + - {column: E, row: 1673, expected_value: Employee, label: employment type} + - {column: J, row: 1673, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1675 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1675, expected_value: W92000004, label: geography} + - {column: D, row: 1675, expected_value: Females, label: sex} + - {column: E, row: 1675, expected_value: Employee, label: employment type} + - {column: J, row: 1675, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1677 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1677, expected_value: W92000004, label: geography} + - {column: D, row: 1677, expected_value: Females, label: sex} + - {column: E, row: 1677, expected_value: Employee, label: employment type} + - {column: J, row: 1677, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1679 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1679, expected_value: W92000004, label: geography} + - {column: D, row: 1679, expected_value: Females, label: sex} + - {column: E, row: 1679, expected_value: Employee, label: employment type} + - {column: J, row: 1679, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1681 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1681, expected_value: W92000004, label: geography} + - {column: D, row: 1681, expected_value: Females, label: sex} + - {column: E, row: 1681, expected_value: Employee, label: employment type} + - {column: J, row: 1681, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1683 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1683, expected_value: W92000004, label: geography} + - {column: D, row: 1683, expected_value: Females, label: sex} + - {column: E, row: 1683, expected_value: Employee, label: employment type} + - {column: J, row: 1683, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1685 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1685, expected_value: W92000004, label: geography} + - {column: D, row: 1685, expected_value: Females, label: sex} + - {column: E, row: 1685, expected_value: Employee, label: employment type} + - {column: J, row: 1685, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1687 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1687, expected_value: W92000004, label: geography} + - {column: D, row: 1687, expected_value: Females, label: sex} + - {column: E, row: 1687, expected_value: Employee, label: employment type} + - {column: J, row: 1687, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1689 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1689, expected_value: W92000004, label: geography} + - {column: D, row: 1689, expected_value: Females, label: sex} + - {column: E, row: 1689, expected_value: Employee, label: employment type} + - {column: J, row: 1689, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1691 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1691, expected_value: W92000004, label: geography} + - {column: D, row: 1691, expected_value: Females, label: sex} + - {column: E, row: 1691, expected_value: Employee, label: employment type} + - {column: J, row: 1691, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1693 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1693, expected_value: W92000004, label: geography} + - {column: D, row: 1693, expected_value: Females, label: sex} + - {column: E, row: 1693, expected_value: Employee, label: employment type} + - {column: J, row: 1693, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1695 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1695, expected_value: W92000004, label: geography} + - {column: D, row: 1695, expected_value: Females, label: sex} + - {column: E, row: 1695, expected_value: Employee, label: employment type} + - {column: J, row: 1695, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1703 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1703, expected_value: W92000004, label: geography} + - {column: D, row: 1703, expected_value: Females, label: sex} + - {column: E, row: 1703, expected_value: Employee, label: employment type} + - {column: J, row: 1703, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1705 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1705, expected_value: W92000004, label: geography} + - {column: D, row: 1705, expected_value: Females, label: sex} + - {column: E, row: 1705, expected_value: Employee, label: employment type} + - {column: J, row: 1705, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1707 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1707, expected_value: W92000004, label: geography} + - {column: D, row: 1707, expected_value: Females, label: sex} + - {column: E, row: 1707, expected_value: Employee, label: employment type} + - {column: J, row: 1707, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1709 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1709, expected_value: W92000004, label: geography} + - {column: D, row: 1709, expected_value: Females, label: sex} + - {column: E, row: 1709, expected_value: Employee, label: employment type} + - {column: J, row: 1709, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1713 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1713, expected_value: W92000004, label: geography} + - {column: D, row: 1713, expected_value: Females, label: sex} + - {column: E, row: 1713, expected_value: Employee, label: employment type} + - {column: J, row: 1713, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1715 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1715, expected_value: W92000004, label: geography} + - {column: D, row: 1715, expected_value: Females, label: sex} + - {column: E, row: 1715, expected_value: Employee, label: employment type} + - {column: J, row: 1715, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1717 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1717, expected_value: W92000004, label: geography} + - {column: D, row: 1717, expected_value: Females, label: sex} + - {column: E, row: 1717, expected_value: Employee, label: employment type} + - {column: J, row: 1717, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1719 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1719, expected_value: W92000004, label: geography} + - {column: D, row: 1719, expected_value: Females, label: sex} + - {column: E, row: 1719, expected_value: Employee, label: employment type} + - {column: J, row: 1719, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1721 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1721, expected_value: W92000004, label: geography} + - {column: D, row: 1721, expected_value: Females, label: sex} + - {column: E, row: 1721, expected_value: Employee, label: employment type} + - {column: J, row: 1721, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1725 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1725, expected_value: W92000004, label: geography} + - {column: D, row: 1725, expected_value: Females, label: sex} + - {column: E, row: 1725, expected_value: Employee, label: employment type} + - {column: J, row: 1725, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1727 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1727, expected_value: W92000004, label: geography} + - {column: D, row: 1727, expected_value: Females, label: sex} + - {column: E, row: 1727, expected_value: Employee, label: employment type} + - {column: J, row: 1727, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1729 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1729, expected_value: W92000004, label: geography} + - {column: D, row: 1729, expected_value: Females, label: sex} + - {column: E, row: 1729, expected_value: Employee, label: employment type} + - {column: J, row: 1729, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1874 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1874, expected_value: W92000004, label: geography} + - {column: D, row: 1874, expected_value: Females, label: sex} + - {column: E, row: 1874, expected_value: Self-employed, label: employment type} + - {column: J, row: 1874, expected_value: Value, label: measure} + - {column: L, row: 1875, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1876 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1876, expected_value: W92000004, label: geography} + - {column: D, row: 1876, expected_value: Females, label: sex} + - {column: E, row: 1876, expected_value: Self-employed, label: employment type} + - {column: J, row: 1876, expected_value: Value, label: measure} + - {column: L, row: 1877, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1878 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1878, expected_value: W92000004, label: geography} + - {column: D, row: 1878, expected_value: Females, label: sex} + - {column: E, row: 1878, expected_value: Self-employed, label: employment type} + - {column: J, row: 1878, expected_value: Value, label: measure} + - {column: L, row: 1879, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1880 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1880, expected_value: W92000004, label: geography} + - {column: D, row: 1880, expected_value: Females, label: sex} + - {column: E, row: 1880, expected_value: Self-employed, label: employment type} + - {column: J, row: 1880, expected_value: Value, label: measure} + - {column: L, row: 1881, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1882 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1882, expected_value: W92000004, label: geography} + - {column: D, row: 1882, expected_value: Females, label: sex} + - {column: E, row: 1882, expected_value: Self-employed, label: employment type} + - {column: J, row: 1882, expected_value: Value, label: measure} + - {column: L, row: 1883, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1884 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1884, expected_value: W92000004, label: geography} + - {column: D, row: 1884, expected_value: Females, label: sex} + - {column: E, row: 1884, expected_value: Self-employed, label: employment type} + - {column: J, row: 1884, expected_value: Value, label: measure} + - {column: L, row: 1885, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1886 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1886, expected_value: W92000004, label: geography} + - {column: D, row: 1886, expected_value: Females, label: sex} + - {column: E, row: 1886, expected_value: Self-employed, label: employment type} + - {column: J, row: 1886, expected_value: Value, label: measure} + - {column: L, row: 1887, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1888 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1888, expected_value: W92000004, label: geography} + - {column: D, row: 1888, expected_value: Females, label: sex} + - {column: E, row: 1888, expected_value: Self-employed, label: employment type} + - {column: J, row: 1888, expected_value: Value, label: measure} + - {column: L, row: 1889, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1890 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1890, expected_value: W92000004, label: geography} + - {column: D, row: 1890, expected_value: Females, label: sex} + - {column: E, row: 1890, expected_value: Self-employed, label: employment type} + - {column: J, row: 1890, expected_value: Value, label: measure} + - {column: L, row: 1891, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1892 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1892, expected_value: W92000004, label: geography} + - {column: D, row: 1892, expected_value: Females, label: sex} + - {column: E, row: 1892, expected_value: Self-employed, label: employment type} + - {column: J, row: 1892, expected_value: Value, label: measure} + - {column: L, row: 1893, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1896 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1896, expected_value: W92000004, label: geography} + - {column: D, row: 1896, expected_value: Females, label: sex} + - {column: E, row: 1896, expected_value: Self-employed, label: employment type} + - {column: J, row: 1896, expected_value: Value, label: measure} + - {column: L, row: 1897, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1900 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1900, expected_value: W92000004, label: geography} + - {column: D, row: 1900, expected_value: Females, label: sex} + - {column: E, row: 1900, expected_value: Self-employed, label: employment type} + - {column: J, row: 1900, expected_value: Value, label: measure} + - {column: L, row: 1901, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1902 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1902, expected_value: W92000004, label: geography} + - {column: D, row: 1902, expected_value: Females, label: sex} + - {column: E, row: 1902, expected_value: Self-employed, label: employment type} + - {column: J, row: 1902, expected_value: Value, label: measure} + - {column: L, row: 1903, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1904 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1904, expected_value: W92000004, label: geography} + - {column: D, row: 1904, expected_value: Females, label: sex} + - {column: E, row: 1904, expected_value: Self-employed, label: employment type} + - {column: J, row: 1904, expected_value: Value, label: measure} + - {column: L, row: 1905, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1906 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1906, expected_value: W92000004, label: geography} + - {column: D, row: 1906, expected_value: Females, label: sex} + - {column: E, row: 1906, expected_value: Self-employed, label: employment type} + - {column: J, row: 1906, expected_value: Value, label: measure} + - {column: L, row: 1907, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1908 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1908, expected_value: W92000004, label: geography} + - {column: D, row: 1908, expected_value: Females, label: sex} + - {column: E, row: 1908, expected_value: Self-employed, label: employment type} + - {column: J, row: 1908, expected_value: Value, label: measure} + - {column: L, row: 1909, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1910 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1910, expected_value: W92000004, label: geography} + - {column: D, row: 1910, expected_value: Females, label: sex} + - {column: E, row: 1910, expected_value: Self-employed, label: employment type} + - {column: J, row: 1910, expected_value: Value, label: measure} + - {column: L, row: 1911, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1912 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1912, expected_value: W92000004, label: geography} + - {column: D, row: 1912, expected_value: Females, label: sex} + - {column: E, row: 1912, expected_value: Self-employed, label: employment type} + - {column: J, row: 1912, expected_value: Value, label: measure} + - {column: L, row: 1913, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1918 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1918, expected_value: W92000004, label: geography} + - {column: D, row: 1918, expected_value: Females, label: sex} + - {column: E, row: 1918, expected_value: Self-employed, label: employment type} + - {column: J, row: 1918, expected_value: Value, label: measure} + - {column: L, row: 1919, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1920 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1920, expected_value: W92000004, label: geography} + - {column: D, row: 1920, expected_value: Females, label: sex} + - {column: E, row: 1920, expected_value: Self-employed, label: employment type} + - {column: J, row: 1920, expected_value: Value, label: measure} + - {column: L, row: 1921, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1922 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1922, expected_value: W92000004, label: geography} + - {column: D, row: 1922, expected_value: Females, label: sex} + - {column: E, row: 1922, expected_value: Self-employed, label: employment type} + - {column: J, row: 1922, expected_value: Value, label: measure} + - {column: L, row: 1923, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1924 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1924, expected_value: W92000004, label: geography} + - {column: D, row: 1924, expected_value: Females, label: sex} + - {column: E, row: 1924, expected_value: Self-employed, label: employment type} + - {column: J, row: 1924, expected_value: Value, label: measure} + - {column: L, row: 1925, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1928 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1928, expected_value: W92000004, label: geography} + - {column: D, row: 1928, expected_value: Females, label: sex} + - {column: E, row: 1928, expected_value: Self-employed, label: employment type} + - {column: J, row: 1928, expected_value: Value, label: measure} + - {column: L, row: 1929, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1930 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1930, expected_value: W92000004, label: geography} + - {column: D, row: 1930, expected_value: Females, label: sex} + - {column: E, row: 1930, expected_value: Self-employed, label: employment type} + - {column: J, row: 1930, expected_value: Value, label: measure} + - {column: L, row: 1931, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1934 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1934, expected_value: W92000004, label: geography} + - {column: D, row: 1934, expected_value: Females, label: sex} + - {column: E, row: 1934, expected_value: Self-employed, label: employment type} + - {column: J, row: 1934, expected_value: Value, label: measure} + - {column: L, row: 1935, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1936 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1936, expected_value: W92000004, label: geography} + - {column: D, row: 1936, expected_value: Females, label: sex} + - {column: E, row: 1936, expected_value: Self-employed, label: employment type} + - {column: J, row: 1936, expected_value: Value, label: measure} + - {column: L, row: 1937, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1938 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1938, expected_value: W92000004, label: geography} + - {column: D, row: 1938, expected_value: Females, label: sex} + - {column: E, row: 1938, expected_value: Self-employed, label: employment type} + - {column: J, row: 1938, expected_value: Value, label: measure} + - {column: L, row: 1939, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1940 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1940, expected_value: W92000004, label: geography} + - {column: D, row: 1940, expected_value: Females, label: sex} + - {column: E, row: 1940, expected_value: Self-employed, label: employment type} + - {column: J, row: 1940, expected_value: Value, label: measure} + - {column: L, row: 1941, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1944 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1944, expected_value: W92000004, label: geography} + - {column: D, row: 1944, expected_value: Females, label: sex} + - {column: E, row: 1944, expected_value: Self-employed, label: employment type} + - {column: J, row: 1944, expected_value: Value, label: measure} + - {column: L, row: 1945, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.w92000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1875 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1875, expected_value: W92000004, label: geography} + - {column: D, row: 1875, expected_value: Females, label: sex} + - {column: E, row: 1875, expected_value: Self-employed, label: employment type} + - {column: J, row: 1875, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1877 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1877, expected_value: W92000004, label: geography} + - {column: D, row: 1877, expected_value: Females, label: sex} + - {column: E, row: 1877, expected_value: Self-employed, label: employment type} + - {column: J, row: 1877, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1879 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1879, expected_value: W92000004, label: geography} + - {column: D, row: 1879, expected_value: Females, label: sex} + - {column: E, row: 1879, expected_value: Self-employed, label: employment type} + - {column: J, row: 1879, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1881 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1881, expected_value: W92000004, label: geography} + - {column: D, row: 1881, expected_value: Females, label: sex} + - {column: E, row: 1881, expected_value: Self-employed, label: employment type} + - {column: J, row: 1881, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1883 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1883, expected_value: W92000004, label: geography} + - {column: D, row: 1883, expected_value: Females, label: sex} + - {column: E, row: 1883, expected_value: Self-employed, label: employment type} + - {column: J, row: 1883, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1885 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1885, expected_value: W92000004, label: geography} + - {column: D, row: 1885, expected_value: Females, label: sex} + - {column: E, row: 1885, expected_value: Self-employed, label: employment type} + - {column: J, row: 1885, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1887 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1887, expected_value: W92000004, label: geography} + - {column: D, row: 1887, expected_value: Females, label: sex} + - {column: E, row: 1887, expected_value: Self-employed, label: employment type} + - {column: J, row: 1887, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1889 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1889, expected_value: W92000004, label: geography} + - {column: D, row: 1889, expected_value: Females, label: sex} + - {column: E, row: 1889, expected_value: Self-employed, label: employment type} + - {column: J, row: 1889, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1891 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1891, expected_value: W92000004, label: geography} + - {column: D, row: 1891, expected_value: Females, label: sex} + - {column: E, row: 1891, expected_value: Self-employed, label: employment type} + - {column: J, row: 1891, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1893 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1893, expected_value: W92000004, label: geography} + - {column: D, row: 1893, expected_value: Females, label: sex} + - {column: E, row: 1893, expected_value: Self-employed, label: employment type} + - {column: J, row: 1893, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1897 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1897, expected_value: W92000004, label: geography} + - {column: D, row: 1897, expected_value: Females, label: sex} + - {column: E, row: 1897, expected_value: Self-employed, label: employment type} + - {column: J, row: 1897, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1901 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1901, expected_value: W92000004, label: geography} + - {column: D, row: 1901, expected_value: Females, label: sex} + - {column: E, row: 1901, expected_value: Self-employed, label: employment type} + - {column: J, row: 1901, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1903 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1903, expected_value: W92000004, label: geography} + - {column: D, row: 1903, expected_value: Females, label: sex} + - {column: E, row: 1903, expected_value: Self-employed, label: employment type} + - {column: J, row: 1903, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1905 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1905, expected_value: W92000004, label: geography} + - {column: D, row: 1905, expected_value: Females, label: sex} + - {column: E, row: 1905, expected_value: Self-employed, label: employment type} + - {column: J, row: 1905, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1907 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1907, expected_value: W92000004, label: geography} + - {column: D, row: 1907, expected_value: Females, label: sex} + - {column: E, row: 1907, expected_value: Self-employed, label: employment type} + - {column: J, row: 1907, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1911 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1911, expected_value: W92000004, label: geography} + - {column: D, row: 1911, expected_value: Females, label: sex} + - {column: E, row: 1911, expected_value: Self-employed, label: employment type} + - {column: J, row: 1911, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1913 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1913, expected_value: W92000004, label: geography} + - {column: D, row: 1913, expected_value: Females, label: sex} + - {column: E, row: 1913, expected_value: Self-employed, label: employment type} + - {column: J, row: 1913, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1919 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1919, expected_value: W92000004, label: geography} + - {column: D, row: 1919, expected_value: Females, label: sex} + - {column: E, row: 1919, expected_value: Self-employed, label: employment type} + - {column: J, row: 1919, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1921 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1921, expected_value: W92000004, label: geography} + - {column: D, row: 1921, expected_value: Females, label: sex} + - {column: E, row: 1921, expected_value: Self-employed, label: employment type} + - {column: J, row: 1921, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1923 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1923, expected_value: W92000004, label: geography} + - {column: D, row: 1923, expected_value: Females, label: sex} + - {column: E, row: 1923, expected_value: Self-employed, label: employment type} + - {column: J, row: 1923, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1925 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1925, expected_value: W92000004, label: geography} + - {column: D, row: 1925, expected_value: Females, label: sex} + - {column: E, row: 1925, expected_value: Self-employed, label: employment type} + - {column: J, row: 1925, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1929 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1929, expected_value: W92000004, label: geography} + - {column: D, row: 1929, expected_value: Females, label: sex} + - {column: E, row: 1929, expected_value: Self-employed, label: employment type} + - {column: J, row: 1929, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1931 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1931, expected_value: W92000004, label: geography} + - {column: D, row: 1931, expected_value: Females, label: sex} + - {column: E, row: 1931, expected_value: Self-employed, label: employment type} + - {column: J, row: 1931, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1935 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1935, expected_value: W92000004, label: geography} + - {column: D, row: 1935, expected_value: Females, label: sex} + - {column: E, row: 1935, expected_value: Self-employed, label: employment type} + - {column: J, row: 1935, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1941 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1941, expected_value: W92000004, label: geography} + - {column: D, row: 1941, expected_value: Females, label: sex} + - {column: E, row: 1941, expected_value: Self-employed, label: employment type} + - {column: J, row: 1941, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1945 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1945, expected_value: W92000004, label: geography} + - {column: D, row: 1945, expected_value: Females, label: sex} + - {column: E, row: 1945, expected_value: Self-employed, label: employment type} + - {column: J, row: 1945, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1946 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1946, expected_value: S92000003, label: geography} + - {column: D, row: 1946, expected_value: All persons, label: sex} + - {column: E, row: 1946, expected_value: Total, label: employment type} + - {column: J, row: 1946, expected_value: Value, label: measure} + - {column: L, row: 1947, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1948 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1948, expected_value: S92000003, label: geography} + - {column: D, row: 1948, expected_value: All persons, label: sex} + - {column: E, row: 1948, expected_value: Total, label: employment type} + - {column: J, row: 1948, expected_value: Value, label: measure} + - {column: L, row: 1949, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1950 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1950, expected_value: S92000003, label: geography} + - {column: D, row: 1950, expected_value: All persons, label: sex} + - {column: E, row: 1950, expected_value: Total, label: employment type} + - {column: J, row: 1950, expected_value: Value, label: measure} + - {column: L, row: 1951, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1952 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1952, expected_value: S92000003, label: geography} + - {column: D, row: 1952, expected_value: All persons, label: sex} + - {column: E, row: 1952, expected_value: Total, label: employment type} + - {column: J, row: 1952, expected_value: Value, label: measure} + - {column: L, row: 1953, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1954 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1954, expected_value: S92000003, label: geography} + - {column: D, row: 1954, expected_value: All persons, label: sex} + - {column: E, row: 1954, expected_value: Total, label: employment type} + - {column: J, row: 1954, expected_value: Value, label: measure} + - {column: L, row: 1955, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1956 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1956, expected_value: S92000003, label: geography} + - {column: D, row: 1956, expected_value: All persons, label: sex} + - {column: E, row: 1956, expected_value: Total, label: employment type} + - {column: J, row: 1956, expected_value: Value, label: measure} + - {column: L, row: 1957, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1958 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1958, expected_value: S92000003, label: geography} + - {column: D, row: 1958, expected_value: All persons, label: sex} + - {column: E, row: 1958, expected_value: Total, label: employment type} + - {column: J, row: 1958, expected_value: Value, label: measure} + - {column: L, row: 1959, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1960 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1960, expected_value: S92000003, label: geography} + - {column: D, row: 1960, expected_value: All persons, label: sex} + - {column: E, row: 1960, expected_value: Total, label: employment type} + - {column: J, row: 1960, expected_value: Value, label: measure} + - {column: L, row: 1961, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1962 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1962, expected_value: S92000003, label: geography} + - {column: D, row: 1962, expected_value: All persons, label: sex} + - {column: E, row: 1962, expected_value: Total, label: employment type} + - {column: J, row: 1962, expected_value: Value, label: measure} + - {column: L, row: 1963, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1964 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1964, expected_value: S92000003, label: geography} + - {column: D, row: 1964, expected_value: All persons, label: sex} + - {column: E, row: 1964, expected_value: Total, label: employment type} + - {column: J, row: 1964, expected_value: Value, label: measure} + - {column: L, row: 1965, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1966 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1966, expected_value: S92000003, label: geography} + - {column: D, row: 1966, expected_value: All persons, label: sex} + - {column: E, row: 1966, expected_value: Total, label: employment type} + - {column: J, row: 1966, expected_value: Value, label: measure} + - {column: L, row: 1967, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1968 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1968, expected_value: S92000003, label: geography} + - {column: D, row: 1968, expected_value: All persons, label: sex} + - {column: E, row: 1968, expected_value: Total, label: employment type} + - {column: J, row: 1968, expected_value: Value, label: measure} + - {column: L, row: 1969, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1970 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1970, expected_value: S92000003, label: geography} + - {column: D, row: 1970, expected_value: All persons, label: sex} + - {column: E, row: 1970, expected_value: Total, label: employment type} + - {column: J, row: 1970, expected_value: Value, label: measure} + - {column: L, row: 1971, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1972 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1972, expected_value: S92000003, label: geography} + - {column: D, row: 1972, expected_value: All persons, label: sex} + - {column: E, row: 1972, expected_value: Total, label: employment type} + - {column: J, row: 1972, expected_value: Value, label: measure} + - {column: L, row: 1973, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1974 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1974, expected_value: S92000003, label: geography} + - {column: D, row: 1974, expected_value: All persons, label: sex} + - {column: E, row: 1974, expected_value: Total, label: employment type} + - {column: J, row: 1974, expected_value: Value, label: measure} + - {column: L, row: 1975, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1976 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1976, expected_value: S92000003, label: geography} + - {column: D, row: 1976, expected_value: All persons, label: sex} + - {column: E, row: 1976, expected_value: Total, label: employment type} + - {column: J, row: 1976, expected_value: Value, label: measure} + - {column: L, row: 1977, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1978 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1978, expected_value: S92000003, label: geography} + - {column: D, row: 1978, expected_value: All persons, label: sex} + - {column: E, row: 1978, expected_value: Total, label: employment type} + - {column: J, row: 1978, expected_value: Value, label: measure} + - {column: L, row: 1979, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1980 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1980, expected_value: S92000003, label: geography} + - {column: D, row: 1980, expected_value: All persons, label: sex} + - {column: E, row: 1980, expected_value: Total, label: employment type} + - {column: J, row: 1980, expected_value: Value, label: measure} + - {column: L, row: 1981, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1982 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1982, expected_value: S92000003, label: geography} + - {column: D, row: 1982, expected_value: All persons, label: sex} + - {column: E, row: 1982, expected_value: Total, label: employment type} + - {column: J, row: 1982, expected_value: Value, label: measure} + - {column: L, row: 1983, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1984 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1984, expected_value: S92000003, label: geography} + - {column: D, row: 1984, expected_value: All persons, label: sex} + - {column: E, row: 1984, expected_value: Total, label: employment type} + - {column: J, row: 1984, expected_value: Value, label: measure} + - {column: L, row: 1985, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1986 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1986, expected_value: S92000003, label: geography} + - {column: D, row: 1986, expected_value: All persons, label: sex} + - {column: E, row: 1986, expected_value: Total, label: employment type} + - {column: J, row: 1986, expected_value: Value, label: measure} + - {column: L, row: 1987, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1988 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1988, expected_value: S92000003, label: geography} + - {column: D, row: 1988, expected_value: All persons, label: sex} + - {column: E, row: 1988, expected_value: Total, label: employment type} + - {column: J, row: 1988, expected_value: Value, label: measure} + - {column: L, row: 1989, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1990 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1990, expected_value: S92000003, label: geography} + - {column: D, row: 1990, expected_value: All persons, label: sex} + - {column: E, row: 1990, expected_value: Total, label: employment type} + - {column: J, row: 1990, expected_value: Value, label: measure} + - {column: L, row: 1991, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1992 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1992, expected_value: S92000003, label: geography} + - {column: D, row: 1992, expected_value: All persons, label: sex} + - {column: E, row: 1992, expected_value: Total, label: employment type} + - {column: J, row: 1992, expected_value: Value, label: measure} + - {column: L, row: 1993, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1994 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1994, expected_value: S92000003, label: geography} + - {column: D, row: 1994, expected_value: All persons, label: sex} + - {column: E, row: 1994, expected_value: Total, label: employment type} + - {column: J, row: 1994, expected_value: Value, label: measure} + - {column: L, row: 1995, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1996 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1996, expected_value: S92000003, label: geography} + - {column: D, row: 1996, expected_value: All persons, label: sex} + - {column: E, row: 1996, expected_value: Total, label: employment type} + - {column: J, row: 1996, expected_value: Value, label: measure} + - {column: L, row: 1997, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1998 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1998, expected_value: S92000003, label: geography} + - {column: D, row: 1998, expected_value: All persons, label: sex} + - {column: E, row: 1998, expected_value: Total, label: employment type} + - {column: J, row: 1998, expected_value: Value, label: measure} + - {column: L, row: 1999, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2000 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2000, expected_value: S92000003, label: geography} + - {column: D, row: 2000, expected_value: All persons, label: sex} + - {column: E, row: 2000, expected_value: Total, label: employment type} + - {column: J, row: 2000, expected_value: Value, label: measure} + - {column: L, row: 2001, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2002 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2002, expected_value: S92000003, label: geography} + - {column: D, row: 2002, expected_value: All persons, label: sex} + - {column: E, row: 2002, expected_value: Total, label: employment type} + - {column: J, row: 2002, expected_value: Value, label: measure} + - {column: L, row: 2003, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2004 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2004, expected_value: S92000003, label: geography} + - {column: D, row: 2004, expected_value: All persons, label: sex} + - {column: E, row: 2004, expected_value: Total, label: employment type} + - {column: J, row: 2004, expected_value: Value, label: measure} + - {column: L, row: 2005, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2006 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2006, expected_value: S92000003, label: geography} + - {column: D, row: 2006, expected_value: All persons, label: sex} + - {column: E, row: 2006, expected_value: Total, label: employment type} + - {column: J, row: 2006, expected_value: Value, label: measure} + - {column: L, row: 2007, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2008 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2008, expected_value: S92000003, label: geography} + - {column: D, row: 2008, expected_value: All persons, label: sex} + - {column: E, row: 2008, expected_value: Total, label: employment type} + - {column: J, row: 2008, expected_value: Value, label: measure} + - {column: L, row: 2009, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2010 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2010, expected_value: S92000003, label: geography} + - {column: D, row: 2010, expected_value: All persons, label: sex} + - {column: E, row: 2010, expected_value: Total, label: employment type} + - {column: J, row: 2010, expected_value: Value, label: measure} + - {column: L, row: 2011, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2012 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2012, expected_value: S92000003, label: geography} + - {column: D, row: 2012, expected_value: All persons, label: sex} + - {column: E, row: 2012, expected_value: Total, label: employment type} + - {column: J, row: 2012, expected_value: Value, label: measure} + - {column: L, row: 2013, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2014 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2014, expected_value: S92000003, label: geography} + - {column: D, row: 2014, expected_value: All persons, label: sex} + - {column: E, row: 2014, expected_value: Total, label: employment type} + - {column: J, row: 2014, expected_value: Value, label: measure} + - {column: L, row: 2015, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2016 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2016, expected_value: S92000003, label: geography} + - {column: D, row: 2016, expected_value: All persons, label: sex} + - {column: E, row: 2016, expected_value: Total, label: employment type} + - {column: J, row: 2016, expected_value: Value, label: measure} + - {column: L, row: 2017, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1947 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1947, expected_value: S92000003, label: geography} + - {column: D, row: 1947, expected_value: All persons, label: sex} + - {column: E, row: 1947, expected_value: Total, label: employment type} + - {column: J, row: 1947, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1949 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1949, expected_value: S92000003, label: geography} + - {column: D, row: 1949, expected_value: All persons, label: sex} + - {column: E, row: 1949, expected_value: Total, label: employment type} + - {column: J, row: 1949, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1951 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1951, expected_value: S92000003, label: geography} + - {column: D, row: 1951, expected_value: All persons, label: sex} + - {column: E, row: 1951, expected_value: Total, label: employment type} + - {column: J, row: 1951, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1953 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1953, expected_value: S92000003, label: geography} + - {column: D, row: 1953, expected_value: All persons, label: sex} + - {column: E, row: 1953, expected_value: Total, label: employment type} + - {column: J, row: 1953, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1955 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1955, expected_value: S92000003, label: geography} + - {column: D, row: 1955, expected_value: All persons, label: sex} + - {column: E, row: 1955, expected_value: Total, label: employment type} + - {column: J, row: 1955, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1957 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1957, expected_value: S92000003, label: geography} + - {column: D, row: 1957, expected_value: All persons, label: sex} + - {column: E, row: 1957, expected_value: Total, label: employment type} + - {column: J, row: 1957, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1959 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1959, expected_value: S92000003, label: geography} + - {column: D, row: 1959, expected_value: All persons, label: sex} + - {column: E, row: 1959, expected_value: Total, label: employment type} + - {column: J, row: 1959, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1961 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1961, expected_value: S92000003, label: geography} + - {column: D, row: 1961, expected_value: All persons, label: sex} + - {column: E, row: 1961, expected_value: Total, label: employment type} + - {column: J, row: 1961, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1963 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1963, expected_value: S92000003, label: geography} + - {column: D, row: 1963, expected_value: All persons, label: sex} + - {column: E, row: 1963, expected_value: Total, label: employment type} + - {column: J, row: 1963, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1965 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1965, expected_value: S92000003, label: geography} + - {column: D, row: 1965, expected_value: All persons, label: sex} + - {column: E, row: 1965, expected_value: Total, label: employment type} + - {column: J, row: 1965, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1967 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1967, expected_value: S92000003, label: geography} + - {column: D, row: 1967, expected_value: All persons, label: sex} + - {column: E, row: 1967, expected_value: Total, label: employment type} + - {column: J, row: 1967, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1969 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1969, expected_value: S92000003, label: geography} + - {column: D, row: 1969, expected_value: All persons, label: sex} + - {column: E, row: 1969, expected_value: Total, label: employment type} + - {column: J, row: 1969, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1971 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1971, expected_value: S92000003, label: geography} + - {column: D, row: 1971, expected_value: All persons, label: sex} + - {column: E, row: 1971, expected_value: Total, label: employment type} + - {column: J, row: 1971, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1973 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1973, expected_value: S92000003, label: geography} + - {column: D, row: 1973, expected_value: All persons, label: sex} + - {column: E, row: 1973, expected_value: Total, label: employment type} + - {column: J, row: 1973, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1975 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1975, expected_value: S92000003, label: geography} + - {column: D, row: 1975, expected_value: All persons, label: sex} + - {column: E, row: 1975, expected_value: Total, label: employment type} + - {column: J, row: 1975, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1977 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1977, expected_value: S92000003, label: geography} + - {column: D, row: 1977, expected_value: All persons, label: sex} + - {column: E, row: 1977, expected_value: Total, label: employment type} + - {column: J, row: 1977, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1979 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1979, expected_value: S92000003, label: geography} + - {column: D, row: 1979, expected_value: All persons, label: sex} + - {column: E, row: 1979, expected_value: Total, label: employment type} + - {column: J, row: 1979, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1981 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1981, expected_value: S92000003, label: geography} + - {column: D, row: 1981, expected_value: All persons, label: sex} + - {column: E, row: 1981, expected_value: Total, label: employment type} + - {column: J, row: 1981, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1983 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1983, expected_value: S92000003, label: geography} + - {column: D, row: 1983, expected_value: All persons, label: sex} + - {column: E, row: 1983, expected_value: Total, label: employment type} + - {column: J, row: 1983, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1985 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1985, expected_value: S92000003, label: geography} + - {column: D, row: 1985, expected_value: All persons, label: sex} + - {column: E, row: 1985, expected_value: Total, label: employment type} + - {column: J, row: 1985, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1987 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1987, expected_value: S92000003, label: geography} + - {column: D, row: 1987, expected_value: All persons, label: sex} + - {column: E, row: 1987, expected_value: Total, label: employment type} + - {column: J, row: 1987, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1989 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1989, expected_value: S92000003, label: geography} + - {column: D, row: 1989, expected_value: All persons, label: sex} + - {column: E, row: 1989, expected_value: Total, label: employment type} + - {column: J, row: 1989, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1991 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1991, expected_value: S92000003, label: geography} + - {column: D, row: 1991, expected_value: All persons, label: sex} + - {column: E, row: 1991, expected_value: Total, label: employment type} + - {column: J, row: 1991, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1993 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1993, expected_value: S92000003, label: geography} + - {column: D, row: 1993, expected_value: All persons, label: sex} + - {column: E, row: 1993, expected_value: Total, label: employment type} + - {column: J, row: 1993, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1995 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1995, expected_value: S92000003, label: geography} + - {column: D, row: 1995, expected_value: All persons, label: sex} + - {column: E, row: 1995, expected_value: Total, label: employment type} + - {column: J, row: 1995, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1997 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1997, expected_value: S92000003, label: geography} + - {column: D, row: 1997, expected_value: All persons, label: sex} + - {column: E, row: 1997, expected_value: Total, label: employment type} + - {column: J, row: 1997, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2001 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2001, expected_value: S92000003, label: geography} + - {column: D, row: 2001, expected_value: All persons, label: sex} + - {column: E, row: 2001, expected_value: Total, label: employment type} + - {column: J, row: 2001, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2003 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2003, expected_value: S92000003, label: geography} + - {column: D, row: 2003, expected_value: All persons, label: sex} + - {column: E, row: 2003, expected_value: Total, label: employment type} + - {column: J, row: 2003, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2005 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2005, expected_value: S92000003, label: geography} + - {column: D, row: 2005, expected_value: All persons, label: sex} + - {column: E, row: 2005, expected_value: Total, label: employment type} + - {column: J, row: 2005, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2007 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2007, expected_value: S92000003, label: geography} + - {column: D, row: 2007, expected_value: All persons, label: sex} + - {column: E, row: 2007, expected_value: Total, label: employment type} + - {column: J, row: 2007, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2009 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2009, expected_value: S92000003, label: geography} + - {column: D, row: 2009, expected_value: All persons, label: sex} + - {column: E, row: 2009, expected_value: Total, label: employment type} + - {column: J, row: 2009, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2011 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2011, expected_value: S92000003, label: geography} + - {column: D, row: 2011, expected_value: All persons, label: sex} + - {column: E, row: 2011, expected_value: Total, label: employment type} + - {column: J, row: 2011, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2013 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2013, expected_value: S92000003, label: geography} + - {column: D, row: 2013, expected_value: All persons, label: sex} + - {column: E, row: 2013, expected_value: Total, label: employment type} + - {column: J, row: 2013, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2015 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2015, expected_value: S92000003, label: geography} + - {column: D, row: 2015, expected_value: All persons, label: sex} + - {column: E, row: 2015, expected_value: Total, label: employment type} + - {column: J, row: 2015, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2017 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2017, expected_value: S92000003, label: geography} + - {column: D, row: 2017, expected_value: All persons, label: sex} + - {column: E, row: 2017, expected_value: Total, label: employment type} + - {column: J, row: 2017, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2162 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2162, expected_value: S92000003, label: geography} + - {column: D, row: 2162, expected_value: All persons, label: sex} + - {column: E, row: 2162, expected_value: Employee, label: employment type} + - {column: J, row: 2162, expected_value: Value, label: measure} + - {column: L, row: 2163, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2164 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2164, expected_value: S92000003, label: geography} + - {column: D, row: 2164, expected_value: All persons, label: sex} + - {column: E, row: 2164, expected_value: Employee, label: employment type} + - {column: J, row: 2164, expected_value: Value, label: measure} + - {column: L, row: 2165, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2166 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2166, expected_value: S92000003, label: geography} + - {column: D, row: 2166, expected_value: All persons, label: sex} + - {column: E, row: 2166, expected_value: Employee, label: employment type} + - {column: J, row: 2166, expected_value: Value, label: measure} + - {column: L, row: 2167, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2168 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2168, expected_value: S92000003, label: geography} + - {column: D, row: 2168, expected_value: All persons, label: sex} + - {column: E, row: 2168, expected_value: Employee, label: employment type} + - {column: J, row: 2168, expected_value: Value, label: measure} + - {column: L, row: 2169, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2170 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2170, expected_value: S92000003, label: geography} + - {column: D, row: 2170, expected_value: All persons, label: sex} + - {column: E, row: 2170, expected_value: Employee, label: employment type} + - {column: J, row: 2170, expected_value: Value, label: measure} + - {column: L, row: 2171, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2172 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2172, expected_value: S92000003, label: geography} + - {column: D, row: 2172, expected_value: All persons, label: sex} + - {column: E, row: 2172, expected_value: Employee, label: employment type} + - {column: J, row: 2172, expected_value: Value, label: measure} + - {column: L, row: 2173, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2174 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2174, expected_value: S92000003, label: geography} + - {column: D, row: 2174, expected_value: All persons, label: sex} + - {column: E, row: 2174, expected_value: Employee, label: employment type} + - {column: J, row: 2174, expected_value: Value, label: measure} + - {column: L, row: 2175, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2176 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2176, expected_value: S92000003, label: geography} + - {column: D, row: 2176, expected_value: All persons, label: sex} + - {column: E, row: 2176, expected_value: Employee, label: employment type} + - {column: J, row: 2176, expected_value: Value, label: measure} + - {column: L, row: 2177, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2178 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2178, expected_value: S92000003, label: geography} + - {column: D, row: 2178, expected_value: All persons, label: sex} + - {column: E, row: 2178, expected_value: Employee, label: employment type} + - {column: J, row: 2178, expected_value: Value, label: measure} + - {column: L, row: 2179, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2180 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2180, expected_value: S92000003, label: geography} + - {column: D, row: 2180, expected_value: All persons, label: sex} + - {column: E, row: 2180, expected_value: Employee, label: employment type} + - {column: J, row: 2180, expected_value: Value, label: measure} + - {column: L, row: 2181, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2182 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2182, expected_value: S92000003, label: geography} + - {column: D, row: 2182, expected_value: All persons, label: sex} + - {column: E, row: 2182, expected_value: Employee, label: employment type} + - {column: J, row: 2182, expected_value: Value, label: measure} + - {column: L, row: 2183, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2184 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2184, expected_value: S92000003, label: geography} + - {column: D, row: 2184, expected_value: All persons, label: sex} + - {column: E, row: 2184, expected_value: Employee, label: employment type} + - {column: J, row: 2184, expected_value: Value, label: measure} + - {column: L, row: 2185, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2186 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2186, expected_value: S92000003, label: geography} + - {column: D, row: 2186, expected_value: All persons, label: sex} + - {column: E, row: 2186, expected_value: Employee, label: employment type} + - {column: J, row: 2186, expected_value: Value, label: measure} + - {column: L, row: 2187, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2188 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2188, expected_value: S92000003, label: geography} + - {column: D, row: 2188, expected_value: All persons, label: sex} + - {column: E, row: 2188, expected_value: Employee, label: employment type} + - {column: J, row: 2188, expected_value: Value, label: measure} + - {column: L, row: 2189, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2190 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2190, expected_value: S92000003, label: geography} + - {column: D, row: 2190, expected_value: All persons, label: sex} + - {column: E, row: 2190, expected_value: Employee, label: employment type} + - {column: J, row: 2190, expected_value: Value, label: measure} + - {column: L, row: 2191, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2192 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2192, expected_value: S92000003, label: geography} + - {column: D, row: 2192, expected_value: All persons, label: sex} + - {column: E, row: 2192, expected_value: Employee, label: employment type} + - {column: J, row: 2192, expected_value: Value, label: measure} + - {column: L, row: 2193, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2194 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2194, expected_value: S92000003, label: geography} + - {column: D, row: 2194, expected_value: All persons, label: sex} + - {column: E, row: 2194, expected_value: Employee, label: employment type} + - {column: J, row: 2194, expected_value: Value, label: measure} + - {column: L, row: 2195, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2196 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2196, expected_value: S92000003, label: geography} + - {column: D, row: 2196, expected_value: All persons, label: sex} + - {column: E, row: 2196, expected_value: Employee, label: employment type} + - {column: J, row: 2196, expected_value: Value, label: measure} + - {column: L, row: 2197, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2198 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2198, expected_value: S92000003, label: geography} + - {column: D, row: 2198, expected_value: All persons, label: sex} + - {column: E, row: 2198, expected_value: Employee, label: employment type} + - {column: J, row: 2198, expected_value: Value, label: measure} + - {column: L, row: 2199, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2200 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2200, expected_value: S92000003, label: geography} + - {column: D, row: 2200, expected_value: All persons, label: sex} + - {column: E, row: 2200, expected_value: Employee, label: employment type} + - {column: J, row: 2200, expected_value: Value, label: measure} + - {column: L, row: 2201, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2202 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2202, expected_value: S92000003, label: geography} + - {column: D, row: 2202, expected_value: All persons, label: sex} + - {column: E, row: 2202, expected_value: Employee, label: employment type} + - {column: J, row: 2202, expected_value: Value, label: measure} + - {column: L, row: 2203, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2204 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2204, expected_value: S92000003, label: geography} + - {column: D, row: 2204, expected_value: All persons, label: sex} + - {column: E, row: 2204, expected_value: Employee, label: employment type} + - {column: J, row: 2204, expected_value: Value, label: measure} + - {column: L, row: 2205, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2206 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2206, expected_value: S92000003, label: geography} + - {column: D, row: 2206, expected_value: All persons, label: sex} + - {column: E, row: 2206, expected_value: Employee, label: employment type} + - {column: J, row: 2206, expected_value: Value, label: measure} + - {column: L, row: 2207, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2208 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2208, expected_value: S92000003, label: geography} + - {column: D, row: 2208, expected_value: All persons, label: sex} + - {column: E, row: 2208, expected_value: Employee, label: employment type} + - {column: J, row: 2208, expected_value: Value, label: measure} + - {column: L, row: 2209, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2210 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2210, expected_value: S92000003, label: geography} + - {column: D, row: 2210, expected_value: All persons, label: sex} + - {column: E, row: 2210, expected_value: Employee, label: employment type} + - {column: J, row: 2210, expected_value: Value, label: measure} + - {column: L, row: 2211, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2212 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2212, expected_value: S92000003, label: geography} + - {column: D, row: 2212, expected_value: All persons, label: sex} + - {column: E, row: 2212, expected_value: Employee, label: employment type} + - {column: J, row: 2212, expected_value: Value, label: measure} + - {column: L, row: 2213, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2214 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2214, expected_value: S92000003, label: geography} + - {column: D, row: 2214, expected_value: All persons, label: sex} + - {column: E, row: 2214, expected_value: Employee, label: employment type} + - {column: J, row: 2214, expected_value: Value, label: measure} + - {column: L, row: 2215, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2216 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2216, expected_value: S92000003, label: geography} + - {column: D, row: 2216, expected_value: All persons, label: sex} + - {column: E, row: 2216, expected_value: Employee, label: employment type} + - {column: J, row: 2216, expected_value: Value, label: measure} + - {column: L, row: 2217, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2218 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2218, expected_value: S92000003, label: geography} + - {column: D, row: 2218, expected_value: All persons, label: sex} + - {column: E, row: 2218, expected_value: Employee, label: employment type} + - {column: J, row: 2218, expected_value: Value, label: measure} + - {column: L, row: 2219, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2220 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2220, expected_value: S92000003, label: geography} + - {column: D, row: 2220, expected_value: All persons, label: sex} + - {column: E, row: 2220, expected_value: Employee, label: employment type} + - {column: J, row: 2220, expected_value: Value, label: measure} + - {column: L, row: 2221, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2222 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2222, expected_value: S92000003, label: geography} + - {column: D, row: 2222, expected_value: All persons, label: sex} + - {column: E, row: 2222, expected_value: Employee, label: employment type} + - {column: J, row: 2222, expected_value: Value, label: measure} + - {column: L, row: 2223, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2224 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2224, expected_value: S92000003, label: geography} + - {column: D, row: 2224, expected_value: All persons, label: sex} + - {column: E, row: 2224, expected_value: Employee, label: employment type} + - {column: J, row: 2224, expected_value: Value, label: measure} + - {column: L, row: 2225, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2226 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2226, expected_value: S92000003, label: geography} + - {column: D, row: 2226, expected_value: All persons, label: sex} + - {column: E, row: 2226, expected_value: Employee, label: employment type} + - {column: J, row: 2226, expected_value: Value, label: measure} + - {column: L, row: 2227, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2228 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2228, expected_value: S92000003, label: geography} + - {column: D, row: 2228, expected_value: All persons, label: sex} + - {column: E, row: 2228, expected_value: Employee, label: employment type} + - {column: J, row: 2228, expected_value: Value, label: measure} + - {column: L, row: 2229, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2230 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2230, expected_value: S92000003, label: geography} + - {column: D, row: 2230, expected_value: All persons, label: sex} + - {column: E, row: 2230, expected_value: Employee, label: employment type} + - {column: J, row: 2230, expected_value: Value, label: measure} + - {column: L, row: 2231, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2232 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2232, expected_value: S92000003, label: geography} + - {column: D, row: 2232, expected_value: All persons, label: sex} + - {column: E, row: 2232, expected_value: Employee, label: employment type} + - {column: J, row: 2232, expected_value: Value, label: measure} + - {column: L, row: 2233, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2163 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2163, expected_value: S92000003, label: geography} + - {column: D, row: 2163, expected_value: All persons, label: sex} + - {column: E, row: 2163, expected_value: Employee, label: employment type} + - {column: J, row: 2163, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2165 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2165, expected_value: S92000003, label: geography} + - {column: D, row: 2165, expected_value: All persons, label: sex} + - {column: E, row: 2165, expected_value: Employee, label: employment type} + - {column: J, row: 2165, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2167 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2167, expected_value: S92000003, label: geography} + - {column: D, row: 2167, expected_value: All persons, label: sex} + - {column: E, row: 2167, expected_value: Employee, label: employment type} + - {column: J, row: 2167, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2169 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2169, expected_value: S92000003, label: geography} + - {column: D, row: 2169, expected_value: All persons, label: sex} + - {column: E, row: 2169, expected_value: Employee, label: employment type} + - {column: J, row: 2169, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2171 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2171, expected_value: S92000003, label: geography} + - {column: D, row: 2171, expected_value: All persons, label: sex} + - {column: E, row: 2171, expected_value: Employee, label: employment type} + - {column: J, row: 2171, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2173 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2173, expected_value: S92000003, label: geography} + - {column: D, row: 2173, expected_value: All persons, label: sex} + - {column: E, row: 2173, expected_value: Employee, label: employment type} + - {column: J, row: 2173, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2175 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2175, expected_value: S92000003, label: geography} + - {column: D, row: 2175, expected_value: All persons, label: sex} + - {column: E, row: 2175, expected_value: Employee, label: employment type} + - {column: J, row: 2175, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2177 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2177, expected_value: S92000003, label: geography} + - {column: D, row: 2177, expected_value: All persons, label: sex} + - {column: E, row: 2177, expected_value: Employee, label: employment type} + - {column: J, row: 2177, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2179 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2179, expected_value: S92000003, label: geography} + - {column: D, row: 2179, expected_value: All persons, label: sex} + - {column: E, row: 2179, expected_value: Employee, label: employment type} + - {column: J, row: 2179, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2181 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2181, expected_value: S92000003, label: geography} + - {column: D, row: 2181, expected_value: All persons, label: sex} + - {column: E, row: 2181, expected_value: Employee, label: employment type} + - {column: J, row: 2181, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2183 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2183, expected_value: S92000003, label: geography} + - {column: D, row: 2183, expected_value: All persons, label: sex} + - {column: E, row: 2183, expected_value: Employee, label: employment type} + - {column: J, row: 2183, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2185 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2185, expected_value: S92000003, label: geography} + - {column: D, row: 2185, expected_value: All persons, label: sex} + - {column: E, row: 2185, expected_value: Employee, label: employment type} + - {column: J, row: 2185, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2187 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2187, expected_value: S92000003, label: geography} + - {column: D, row: 2187, expected_value: All persons, label: sex} + - {column: E, row: 2187, expected_value: Employee, label: employment type} + - {column: J, row: 2187, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2189 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2189, expected_value: S92000003, label: geography} + - {column: D, row: 2189, expected_value: All persons, label: sex} + - {column: E, row: 2189, expected_value: Employee, label: employment type} + - {column: J, row: 2189, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2191 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2191, expected_value: S92000003, label: geography} + - {column: D, row: 2191, expected_value: All persons, label: sex} + - {column: E, row: 2191, expected_value: Employee, label: employment type} + - {column: J, row: 2191, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2193 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2193, expected_value: S92000003, label: geography} + - {column: D, row: 2193, expected_value: All persons, label: sex} + - {column: E, row: 2193, expected_value: Employee, label: employment type} + - {column: J, row: 2193, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2195 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2195, expected_value: S92000003, label: geography} + - {column: D, row: 2195, expected_value: All persons, label: sex} + - {column: E, row: 2195, expected_value: Employee, label: employment type} + - {column: J, row: 2195, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2197 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2197, expected_value: S92000003, label: geography} + - {column: D, row: 2197, expected_value: All persons, label: sex} + - {column: E, row: 2197, expected_value: Employee, label: employment type} + - {column: J, row: 2197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2199 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2199, expected_value: S92000003, label: geography} + - {column: D, row: 2199, expected_value: All persons, label: sex} + - {column: E, row: 2199, expected_value: Employee, label: employment type} + - {column: J, row: 2199, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2201 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2201, expected_value: S92000003, label: geography} + - {column: D, row: 2201, expected_value: All persons, label: sex} + - {column: E, row: 2201, expected_value: Employee, label: employment type} + - {column: J, row: 2201, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2203 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2203, expected_value: S92000003, label: geography} + - {column: D, row: 2203, expected_value: All persons, label: sex} + - {column: E, row: 2203, expected_value: Employee, label: employment type} + - {column: J, row: 2203, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2205 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2205, expected_value: S92000003, label: geography} + - {column: D, row: 2205, expected_value: All persons, label: sex} + - {column: E, row: 2205, expected_value: Employee, label: employment type} + - {column: J, row: 2205, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2207 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2207, expected_value: S92000003, label: geography} + - {column: D, row: 2207, expected_value: All persons, label: sex} + - {column: E, row: 2207, expected_value: Employee, label: employment type} + - {column: J, row: 2207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2209 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2209, expected_value: S92000003, label: geography} + - {column: D, row: 2209, expected_value: All persons, label: sex} + - {column: E, row: 2209, expected_value: Employee, label: employment type} + - {column: J, row: 2209, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2211 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2211, expected_value: S92000003, label: geography} + - {column: D, row: 2211, expected_value: All persons, label: sex} + - {column: E, row: 2211, expected_value: Employee, label: employment type} + - {column: J, row: 2211, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2213 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2213, expected_value: S92000003, label: geography} + - {column: D, row: 2213, expected_value: All persons, label: sex} + - {column: E, row: 2213, expected_value: Employee, label: employment type} + - {column: J, row: 2213, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2217 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2217, expected_value: S92000003, label: geography} + - {column: D, row: 2217, expected_value: All persons, label: sex} + - {column: E, row: 2217, expected_value: Employee, label: employment type} + - {column: J, row: 2217, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2219 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2219, expected_value: S92000003, label: geography} + - {column: D, row: 2219, expected_value: All persons, label: sex} + - {column: E, row: 2219, expected_value: Employee, label: employment type} + - {column: J, row: 2219, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2221 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2221, expected_value: S92000003, label: geography} + - {column: D, row: 2221, expected_value: All persons, label: sex} + - {column: E, row: 2221, expected_value: Employee, label: employment type} + - {column: J, row: 2221, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2223 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2223, expected_value: S92000003, label: geography} + - {column: D, row: 2223, expected_value: All persons, label: sex} + - {column: E, row: 2223, expected_value: Employee, label: employment type} + - {column: J, row: 2223, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2225 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2225, expected_value: S92000003, label: geography} + - {column: D, row: 2225, expected_value: All persons, label: sex} + - {column: E, row: 2225, expected_value: Employee, label: employment type} + - {column: J, row: 2225, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2227 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2227, expected_value: S92000003, label: geography} + - {column: D, row: 2227, expected_value: All persons, label: sex} + - {column: E, row: 2227, expected_value: Employee, label: employment type} + - {column: J, row: 2227, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2229 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2229, expected_value: S92000003, label: geography} + - {column: D, row: 2229, expected_value: All persons, label: sex} + - {column: E, row: 2229, expected_value: Employee, label: employment type} + - {column: J, row: 2229, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2231 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2231, expected_value: S92000003, label: geography} + - {column: D, row: 2231, expected_value: All persons, label: sex} + - {column: E, row: 2231, expected_value: Employee, label: employment type} + - {column: J, row: 2231, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2233 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2233, expected_value: S92000003, label: geography} + - {column: D, row: 2233, expected_value: All persons, label: sex} + - {column: E, row: 2233, expected_value: Employee, label: employment type} + - {column: J, row: 2233, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2378 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2378, expected_value: S92000003, label: geography} + - {column: D, row: 2378, expected_value: All persons, label: sex} + - {column: E, row: 2378, expected_value: Self-employed, label: employment type} + - {column: J, row: 2378, expected_value: Value, label: measure} + - {column: L, row: 2379, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2380 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2380, expected_value: S92000003, label: geography} + - {column: D, row: 2380, expected_value: All persons, label: sex} + - {column: E, row: 2380, expected_value: Self-employed, label: employment type} + - {column: J, row: 2380, expected_value: Value, label: measure} + - {column: L, row: 2381, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2382 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2382, expected_value: S92000003, label: geography} + - {column: D, row: 2382, expected_value: All persons, label: sex} + - {column: E, row: 2382, expected_value: Self-employed, label: employment type} + - {column: J, row: 2382, expected_value: Value, label: measure} + - {column: L, row: 2383, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2384 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2384, expected_value: S92000003, label: geography} + - {column: D, row: 2384, expected_value: All persons, label: sex} + - {column: E, row: 2384, expected_value: Self-employed, label: employment type} + - {column: J, row: 2384, expected_value: Value, label: measure} + - {column: L, row: 2385, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2386 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2386, expected_value: S92000003, label: geography} + - {column: D, row: 2386, expected_value: All persons, label: sex} + - {column: E, row: 2386, expected_value: Self-employed, label: employment type} + - {column: J, row: 2386, expected_value: Value, label: measure} + - {column: L, row: 2387, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2388 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2388, expected_value: S92000003, label: geography} + - {column: D, row: 2388, expected_value: All persons, label: sex} + - {column: E, row: 2388, expected_value: Self-employed, label: employment type} + - {column: J, row: 2388, expected_value: Value, label: measure} + - {column: L, row: 2389, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2390 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2390, expected_value: S92000003, label: geography} + - {column: D, row: 2390, expected_value: All persons, label: sex} + - {column: E, row: 2390, expected_value: Self-employed, label: employment type} + - {column: J, row: 2390, expected_value: Value, label: measure} + - {column: L, row: 2391, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2392 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2392, expected_value: S92000003, label: geography} + - {column: D, row: 2392, expected_value: All persons, label: sex} + - {column: E, row: 2392, expected_value: Self-employed, label: employment type} + - {column: J, row: 2392, expected_value: Value, label: measure} + - {column: L, row: 2393, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2394 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2394, expected_value: S92000003, label: geography} + - {column: D, row: 2394, expected_value: All persons, label: sex} + - {column: E, row: 2394, expected_value: Self-employed, label: employment type} + - {column: J, row: 2394, expected_value: Value, label: measure} + - {column: L, row: 2395, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2396 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2396, expected_value: S92000003, label: geography} + - {column: D, row: 2396, expected_value: All persons, label: sex} + - {column: E, row: 2396, expected_value: Self-employed, label: employment type} + - {column: J, row: 2396, expected_value: Value, label: measure} + - {column: L, row: 2397, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2398 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2398, expected_value: S92000003, label: geography} + - {column: D, row: 2398, expected_value: All persons, label: sex} + - {column: E, row: 2398, expected_value: Self-employed, label: employment type} + - {column: J, row: 2398, expected_value: Value, label: measure} + - {column: L, row: 2399, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2400 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2400, expected_value: S92000003, label: geography} + - {column: D, row: 2400, expected_value: All persons, label: sex} + - {column: E, row: 2400, expected_value: Self-employed, label: employment type} + - {column: J, row: 2400, expected_value: Value, label: measure} + - {column: L, row: 2401, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2404 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2404, expected_value: S92000003, label: geography} + - {column: D, row: 2404, expected_value: All persons, label: sex} + - {column: E, row: 2404, expected_value: Self-employed, label: employment type} + - {column: J, row: 2404, expected_value: Value, label: measure} + - {column: L, row: 2405, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2406 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2406, expected_value: S92000003, label: geography} + - {column: D, row: 2406, expected_value: All persons, label: sex} + - {column: E, row: 2406, expected_value: Self-employed, label: employment type} + - {column: J, row: 2406, expected_value: Value, label: measure} + - {column: L, row: 2407, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2408 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2408, expected_value: S92000003, label: geography} + - {column: D, row: 2408, expected_value: All persons, label: sex} + - {column: E, row: 2408, expected_value: Self-employed, label: employment type} + - {column: J, row: 2408, expected_value: Value, label: measure} + - {column: L, row: 2409, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2410 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2410, expected_value: S92000003, label: geography} + - {column: D, row: 2410, expected_value: All persons, label: sex} + - {column: E, row: 2410, expected_value: Self-employed, label: employment type} + - {column: J, row: 2410, expected_value: Value, label: measure} + - {column: L, row: 2411, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2412 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2412, expected_value: S92000003, label: geography} + - {column: D, row: 2412, expected_value: All persons, label: sex} + - {column: E, row: 2412, expected_value: Self-employed, label: employment type} + - {column: J, row: 2412, expected_value: Value, label: measure} + - {column: L, row: 2413, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2414 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2414, expected_value: S92000003, label: geography} + - {column: D, row: 2414, expected_value: All persons, label: sex} + - {column: E, row: 2414, expected_value: Self-employed, label: employment type} + - {column: J, row: 2414, expected_value: Value, label: measure} + - {column: L, row: 2415, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2416 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2416, expected_value: S92000003, label: geography} + - {column: D, row: 2416, expected_value: All persons, label: sex} + - {column: E, row: 2416, expected_value: Self-employed, label: employment type} + - {column: J, row: 2416, expected_value: Value, label: measure} + - {column: L, row: 2417, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2418 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2418, expected_value: S92000003, label: geography} + - {column: D, row: 2418, expected_value: All persons, label: sex} + - {column: E, row: 2418, expected_value: Self-employed, label: employment type} + - {column: J, row: 2418, expected_value: Value, label: measure} + - {column: L, row: 2419, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2420 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2420, expected_value: S92000003, label: geography} + - {column: D, row: 2420, expected_value: All persons, label: sex} + - {column: E, row: 2420, expected_value: Self-employed, label: employment type} + - {column: J, row: 2420, expected_value: Value, label: measure} + - {column: L, row: 2421, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2422 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2422, expected_value: S92000003, label: geography} + - {column: D, row: 2422, expected_value: All persons, label: sex} + - {column: E, row: 2422, expected_value: Self-employed, label: employment type} + - {column: J, row: 2422, expected_value: Value, label: measure} + - {column: L, row: 2423, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2424 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2424, expected_value: S92000003, label: geography} + - {column: D, row: 2424, expected_value: All persons, label: sex} + - {column: E, row: 2424, expected_value: Self-employed, label: employment type} + - {column: J, row: 2424, expected_value: Value, label: measure} + - {column: L, row: 2425, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2426 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2426, expected_value: S92000003, label: geography} + - {column: D, row: 2426, expected_value: All persons, label: sex} + - {column: E, row: 2426, expected_value: Self-employed, label: employment type} + - {column: J, row: 2426, expected_value: Value, label: measure} + - {column: L, row: 2427, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2428 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2428, expected_value: S92000003, label: geography} + - {column: D, row: 2428, expected_value: All persons, label: sex} + - {column: E, row: 2428, expected_value: Self-employed, label: employment type} + - {column: J, row: 2428, expected_value: Value, label: measure} + - {column: L, row: 2429, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2432 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2432, expected_value: S92000003, label: geography} + - {column: D, row: 2432, expected_value: All persons, label: sex} + - {column: E, row: 2432, expected_value: Self-employed, label: employment type} + - {column: J, row: 2432, expected_value: Value, label: measure} + - {column: L, row: 2433, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2434 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2434, expected_value: S92000003, label: geography} + - {column: D, row: 2434, expected_value: All persons, label: sex} + - {column: E, row: 2434, expected_value: Self-employed, label: employment type} + - {column: J, row: 2434, expected_value: Value, label: measure} + - {column: L, row: 2435, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2438 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2438, expected_value: S92000003, label: geography} + - {column: D, row: 2438, expected_value: All persons, label: sex} + - {column: E, row: 2438, expected_value: Self-employed, label: employment type} + - {column: J, row: 2438, expected_value: Value, label: measure} + - {column: L, row: 2439, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2440 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2440, expected_value: S92000003, label: geography} + - {column: D, row: 2440, expected_value: All persons, label: sex} + - {column: E, row: 2440, expected_value: Self-employed, label: employment type} + - {column: J, row: 2440, expected_value: Value, label: measure} + - {column: L, row: 2441, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2442 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2442, expected_value: S92000003, label: geography} + - {column: D, row: 2442, expected_value: All persons, label: sex} + - {column: E, row: 2442, expected_value: Self-employed, label: employment type} + - {column: J, row: 2442, expected_value: Value, label: measure} + - {column: L, row: 2443, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2444 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2444, expected_value: S92000003, label: geography} + - {column: D, row: 2444, expected_value: All persons, label: sex} + - {column: E, row: 2444, expected_value: Self-employed, label: employment type} + - {column: J, row: 2444, expected_value: Value, label: measure} + - {column: L, row: 2445, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2446 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2446, expected_value: S92000003, label: geography} + - {column: D, row: 2446, expected_value: All persons, label: sex} + - {column: E, row: 2446, expected_value: Self-employed, label: employment type} + - {column: J, row: 2446, expected_value: Value, label: measure} + - {column: L, row: 2447, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2448 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2448, expected_value: S92000003, label: geography} + - {column: D, row: 2448, expected_value: All persons, label: sex} + - {column: E, row: 2448, expected_value: Self-employed, label: employment type} + - {column: J, row: 2448, expected_value: Value, label: measure} + - {column: L, row: 2449, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2379 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2379, expected_value: S92000003, label: geography} + - {column: D, row: 2379, expected_value: All persons, label: sex} + - {column: E, row: 2379, expected_value: Self-employed, label: employment type} + - {column: J, row: 2379, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2381 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2381, expected_value: S92000003, label: geography} + - {column: D, row: 2381, expected_value: All persons, label: sex} + - {column: E, row: 2381, expected_value: Self-employed, label: employment type} + - {column: J, row: 2381, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2383 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2383, expected_value: S92000003, label: geography} + - {column: D, row: 2383, expected_value: All persons, label: sex} + - {column: E, row: 2383, expected_value: Self-employed, label: employment type} + - {column: J, row: 2383, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2385 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2385, expected_value: S92000003, label: geography} + - {column: D, row: 2385, expected_value: All persons, label: sex} + - {column: E, row: 2385, expected_value: Self-employed, label: employment type} + - {column: J, row: 2385, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2387 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2387, expected_value: S92000003, label: geography} + - {column: D, row: 2387, expected_value: All persons, label: sex} + - {column: E, row: 2387, expected_value: Self-employed, label: employment type} + - {column: J, row: 2387, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2389 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2389, expected_value: S92000003, label: geography} + - {column: D, row: 2389, expected_value: All persons, label: sex} + - {column: E, row: 2389, expected_value: Self-employed, label: employment type} + - {column: J, row: 2389, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2391 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2391, expected_value: S92000003, label: geography} + - {column: D, row: 2391, expected_value: All persons, label: sex} + - {column: E, row: 2391, expected_value: Self-employed, label: employment type} + - {column: J, row: 2391, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2393 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2393, expected_value: S92000003, label: geography} + - {column: D, row: 2393, expected_value: All persons, label: sex} + - {column: E, row: 2393, expected_value: Self-employed, label: employment type} + - {column: J, row: 2393, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2395 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2395, expected_value: S92000003, label: geography} + - {column: D, row: 2395, expected_value: All persons, label: sex} + - {column: E, row: 2395, expected_value: Self-employed, label: employment type} + - {column: J, row: 2395, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2397 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2397, expected_value: S92000003, label: geography} + - {column: D, row: 2397, expected_value: All persons, label: sex} + - {column: E, row: 2397, expected_value: Self-employed, label: employment type} + - {column: J, row: 2397, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2401 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2401, expected_value: S92000003, label: geography} + - {column: D, row: 2401, expected_value: All persons, label: sex} + - {column: E, row: 2401, expected_value: Self-employed, label: employment type} + - {column: J, row: 2401, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2405 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2405, expected_value: S92000003, label: geography} + - {column: D, row: 2405, expected_value: All persons, label: sex} + - {column: E, row: 2405, expected_value: Self-employed, label: employment type} + - {column: J, row: 2405, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2407 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2407, expected_value: S92000003, label: geography} + - {column: D, row: 2407, expected_value: All persons, label: sex} + - {column: E, row: 2407, expected_value: Self-employed, label: employment type} + - {column: J, row: 2407, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2409 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2409, expected_value: S92000003, label: geography} + - {column: D, row: 2409, expected_value: All persons, label: sex} + - {column: E, row: 2409, expected_value: Self-employed, label: employment type} + - {column: J, row: 2409, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2411 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2411, expected_value: S92000003, label: geography} + - {column: D, row: 2411, expected_value: All persons, label: sex} + - {column: E, row: 2411, expected_value: Self-employed, label: employment type} + - {column: J, row: 2411, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2415 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2415, expected_value: S92000003, label: geography} + - {column: D, row: 2415, expected_value: All persons, label: sex} + - {column: E, row: 2415, expected_value: Self-employed, label: employment type} + - {column: J, row: 2415, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2417 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2417, expected_value: S92000003, label: geography} + - {column: D, row: 2417, expected_value: All persons, label: sex} + - {column: E, row: 2417, expected_value: Self-employed, label: employment type} + - {column: J, row: 2417, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2419 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2419, expected_value: S92000003, label: geography} + - {column: D, row: 2419, expected_value: All persons, label: sex} + - {column: E, row: 2419, expected_value: Self-employed, label: employment type} + - {column: J, row: 2419, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2421 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2421, expected_value: S92000003, label: geography} + - {column: D, row: 2421, expected_value: All persons, label: sex} + - {column: E, row: 2421, expected_value: Self-employed, label: employment type} + - {column: J, row: 2421, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2423 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2423, expected_value: S92000003, label: geography} + - {column: D, row: 2423, expected_value: All persons, label: sex} + - {column: E, row: 2423, expected_value: Self-employed, label: employment type} + - {column: J, row: 2423, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2425 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2425, expected_value: S92000003, label: geography} + - {column: D, row: 2425, expected_value: All persons, label: sex} + - {column: E, row: 2425, expected_value: Self-employed, label: employment type} + - {column: J, row: 2425, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2427 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2427, expected_value: S92000003, label: geography} + - {column: D, row: 2427, expected_value: All persons, label: sex} + - {column: E, row: 2427, expected_value: Self-employed, label: employment type} + - {column: J, row: 2427, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2429 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2429, expected_value: S92000003, label: geography} + - {column: D, row: 2429, expected_value: All persons, label: sex} + - {column: E, row: 2429, expected_value: Self-employed, label: employment type} + - {column: J, row: 2429, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2433 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2433, expected_value: S92000003, label: geography} + - {column: D, row: 2433, expected_value: All persons, label: sex} + - {column: E, row: 2433, expected_value: Self-employed, label: employment type} + - {column: J, row: 2433, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2435 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2435, expected_value: S92000003, label: geography} + - {column: D, row: 2435, expected_value: All persons, label: sex} + - {column: E, row: 2435, expected_value: Self-employed, label: employment type} + - {column: J, row: 2435, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2439 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2439, expected_value: S92000003, label: geography} + - {column: D, row: 2439, expected_value: All persons, label: sex} + - {column: E, row: 2439, expected_value: Self-employed, label: employment type} + - {column: J, row: 2439, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2441 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2441, expected_value: S92000003, label: geography} + - {column: D, row: 2441, expected_value: All persons, label: sex} + - {column: E, row: 2441, expected_value: Self-employed, label: employment type} + - {column: J, row: 2441, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2443 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2443, expected_value: S92000003, label: geography} + - {column: D, row: 2443, expected_value: All persons, label: sex} + - {column: E, row: 2443, expected_value: Self-employed, label: employment type} + - {column: J, row: 2443, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2445 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2445, expected_value: S92000003, label: geography} + - {column: D, row: 2445, expected_value: All persons, label: sex} + - {column: E, row: 2445, expected_value: Self-employed, label: employment type} + - {column: J, row: 2445, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2447 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2447, expected_value: S92000003, label: geography} + - {column: D, row: 2447, expected_value: All persons, label: sex} + - {column: E, row: 2447, expected_value: Self-employed, label: employment type} + - {column: J, row: 2447, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2449 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2449, expected_value: S92000003, label: geography} + - {column: D, row: 2449, expected_value: All persons, label: sex} + - {column: E, row: 2449, expected_value: Self-employed, label: employment type} + - {column: J, row: 2449, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2018 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2018, expected_value: S92000003, label: geography} + - {column: D, row: 2018, expected_value: Males, label: sex} + - {column: E, row: 2018, expected_value: Total, label: employment type} + - {column: J, row: 2018, expected_value: Value, label: measure} + - {column: L, row: 2019, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2020 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2020, expected_value: S92000003, label: geography} + - {column: D, row: 2020, expected_value: Males, label: sex} + - {column: E, row: 2020, expected_value: Total, label: employment type} + - {column: J, row: 2020, expected_value: Value, label: measure} + - {column: L, row: 2021, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2022 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2022, expected_value: S92000003, label: geography} + - {column: D, row: 2022, expected_value: Males, label: sex} + - {column: E, row: 2022, expected_value: Total, label: employment type} + - {column: J, row: 2022, expected_value: Value, label: measure} + - {column: L, row: 2023, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2024 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2024, expected_value: S92000003, label: geography} + - {column: D, row: 2024, expected_value: Males, label: sex} + - {column: E, row: 2024, expected_value: Total, label: employment type} + - {column: J, row: 2024, expected_value: Value, label: measure} + - {column: L, row: 2025, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2026 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2026, expected_value: S92000003, label: geography} + - {column: D, row: 2026, expected_value: Males, label: sex} + - {column: E, row: 2026, expected_value: Total, label: employment type} + - {column: J, row: 2026, expected_value: Value, label: measure} + - {column: L, row: 2027, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2028 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2028, expected_value: S92000003, label: geography} + - {column: D, row: 2028, expected_value: Males, label: sex} + - {column: E, row: 2028, expected_value: Total, label: employment type} + - {column: J, row: 2028, expected_value: Value, label: measure} + - {column: L, row: 2029, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2030 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2030, expected_value: S92000003, label: geography} + - {column: D, row: 2030, expected_value: Males, label: sex} + - {column: E, row: 2030, expected_value: Total, label: employment type} + - {column: J, row: 2030, expected_value: Value, label: measure} + - {column: L, row: 2031, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2032 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2032, expected_value: S92000003, label: geography} + - {column: D, row: 2032, expected_value: Males, label: sex} + - {column: E, row: 2032, expected_value: Total, label: employment type} + - {column: J, row: 2032, expected_value: Value, label: measure} + - {column: L, row: 2033, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2034 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2034, expected_value: S92000003, label: geography} + - {column: D, row: 2034, expected_value: Males, label: sex} + - {column: E, row: 2034, expected_value: Total, label: employment type} + - {column: J, row: 2034, expected_value: Value, label: measure} + - {column: L, row: 2035, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2036 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2036, expected_value: S92000003, label: geography} + - {column: D, row: 2036, expected_value: Males, label: sex} + - {column: E, row: 2036, expected_value: Total, label: employment type} + - {column: J, row: 2036, expected_value: Value, label: measure} + - {column: L, row: 2037, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2038 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2038, expected_value: S92000003, label: geography} + - {column: D, row: 2038, expected_value: Males, label: sex} + - {column: E, row: 2038, expected_value: Total, label: employment type} + - {column: J, row: 2038, expected_value: Value, label: measure} + - {column: L, row: 2039, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2040 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2040, expected_value: S92000003, label: geography} + - {column: D, row: 2040, expected_value: Males, label: sex} + - {column: E, row: 2040, expected_value: Total, label: employment type} + - {column: J, row: 2040, expected_value: Value, label: measure} + - {column: L, row: 2041, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2042 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2042, expected_value: S92000003, label: geography} + - {column: D, row: 2042, expected_value: Males, label: sex} + - {column: E, row: 2042, expected_value: Total, label: employment type} + - {column: J, row: 2042, expected_value: Value, label: measure} + - {column: L, row: 2043, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2044 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2044, expected_value: S92000003, label: geography} + - {column: D, row: 2044, expected_value: Males, label: sex} + - {column: E, row: 2044, expected_value: Total, label: employment type} + - {column: J, row: 2044, expected_value: Value, label: measure} + - {column: L, row: 2045, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2046 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2046, expected_value: S92000003, label: geography} + - {column: D, row: 2046, expected_value: Males, label: sex} + - {column: E, row: 2046, expected_value: Total, label: employment type} + - {column: J, row: 2046, expected_value: Value, label: measure} + - {column: L, row: 2047, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2048 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2048, expected_value: S92000003, label: geography} + - {column: D, row: 2048, expected_value: Males, label: sex} + - {column: E, row: 2048, expected_value: Total, label: employment type} + - {column: J, row: 2048, expected_value: Value, label: measure} + - {column: L, row: 2049, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2050 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2050, expected_value: S92000003, label: geography} + - {column: D, row: 2050, expected_value: Males, label: sex} + - {column: E, row: 2050, expected_value: Total, label: employment type} + - {column: J, row: 2050, expected_value: Value, label: measure} + - {column: L, row: 2051, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2052 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2052, expected_value: S92000003, label: geography} + - {column: D, row: 2052, expected_value: Males, label: sex} + - {column: E, row: 2052, expected_value: Total, label: employment type} + - {column: J, row: 2052, expected_value: Value, label: measure} + - {column: L, row: 2053, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2054 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2054, expected_value: S92000003, label: geography} + - {column: D, row: 2054, expected_value: Males, label: sex} + - {column: E, row: 2054, expected_value: Total, label: employment type} + - {column: J, row: 2054, expected_value: Value, label: measure} + - {column: L, row: 2055, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2056 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2056, expected_value: S92000003, label: geography} + - {column: D, row: 2056, expected_value: Males, label: sex} + - {column: E, row: 2056, expected_value: Total, label: employment type} + - {column: J, row: 2056, expected_value: Value, label: measure} + - {column: L, row: 2057, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2058 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2058, expected_value: S92000003, label: geography} + - {column: D, row: 2058, expected_value: Males, label: sex} + - {column: E, row: 2058, expected_value: Total, label: employment type} + - {column: J, row: 2058, expected_value: Value, label: measure} + - {column: L, row: 2059, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2060 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2060, expected_value: S92000003, label: geography} + - {column: D, row: 2060, expected_value: Males, label: sex} + - {column: E, row: 2060, expected_value: Total, label: employment type} + - {column: J, row: 2060, expected_value: Value, label: measure} + - {column: L, row: 2061, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2062 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2062, expected_value: S92000003, label: geography} + - {column: D, row: 2062, expected_value: Males, label: sex} + - {column: E, row: 2062, expected_value: Total, label: employment type} + - {column: J, row: 2062, expected_value: Value, label: measure} + - {column: L, row: 2063, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2064 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2064, expected_value: S92000003, label: geography} + - {column: D, row: 2064, expected_value: Males, label: sex} + - {column: E, row: 2064, expected_value: Total, label: employment type} + - {column: J, row: 2064, expected_value: Value, label: measure} + - {column: L, row: 2065, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2066 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2066, expected_value: S92000003, label: geography} + - {column: D, row: 2066, expected_value: Males, label: sex} + - {column: E, row: 2066, expected_value: Total, label: employment type} + - {column: J, row: 2066, expected_value: Value, label: measure} + - {column: L, row: 2067, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2068 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2068, expected_value: S92000003, label: geography} + - {column: D, row: 2068, expected_value: Males, label: sex} + - {column: E, row: 2068, expected_value: Total, label: employment type} + - {column: J, row: 2068, expected_value: Value, label: measure} + - {column: L, row: 2069, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2070 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2070, expected_value: S92000003, label: geography} + - {column: D, row: 2070, expected_value: Males, label: sex} + - {column: E, row: 2070, expected_value: Total, label: employment type} + - {column: J, row: 2070, expected_value: Value, label: measure} + - {column: L, row: 2071, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2072 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2072, expected_value: S92000003, label: geography} + - {column: D, row: 2072, expected_value: Males, label: sex} + - {column: E, row: 2072, expected_value: Total, label: employment type} + - {column: J, row: 2072, expected_value: Value, label: measure} + - {column: L, row: 2073, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2074 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2074, expected_value: S92000003, label: geography} + - {column: D, row: 2074, expected_value: Males, label: sex} + - {column: E, row: 2074, expected_value: Total, label: employment type} + - {column: J, row: 2074, expected_value: Value, label: measure} + - {column: L, row: 2075, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2076 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2076, expected_value: S92000003, label: geography} + - {column: D, row: 2076, expected_value: Males, label: sex} + - {column: E, row: 2076, expected_value: Total, label: employment type} + - {column: J, row: 2076, expected_value: Value, label: measure} + - {column: L, row: 2077, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2078 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2078, expected_value: S92000003, label: geography} + - {column: D, row: 2078, expected_value: Males, label: sex} + - {column: E, row: 2078, expected_value: Total, label: employment type} + - {column: J, row: 2078, expected_value: Value, label: measure} + - {column: L, row: 2079, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2080 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2080, expected_value: S92000003, label: geography} + - {column: D, row: 2080, expected_value: Males, label: sex} + - {column: E, row: 2080, expected_value: Total, label: employment type} + - {column: J, row: 2080, expected_value: Value, label: measure} + - {column: L, row: 2081, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2082 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2082, expected_value: S92000003, label: geography} + - {column: D, row: 2082, expected_value: Males, label: sex} + - {column: E, row: 2082, expected_value: Total, label: employment type} + - {column: J, row: 2082, expected_value: Value, label: measure} + - {column: L, row: 2083, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2084 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2084, expected_value: S92000003, label: geography} + - {column: D, row: 2084, expected_value: Males, label: sex} + - {column: E, row: 2084, expected_value: Total, label: employment type} + - {column: J, row: 2084, expected_value: Value, label: measure} + - {column: L, row: 2085, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2086 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2086, expected_value: S92000003, label: geography} + - {column: D, row: 2086, expected_value: Males, label: sex} + - {column: E, row: 2086, expected_value: Total, label: employment type} + - {column: J, row: 2086, expected_value: Value, label: measure} + - {column: L, row: 2087, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2088 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2088, expected_value: S92000003, label: geography} + - {column: D, row: 2088, expected_value: Males, label: sex} + - {column: E, row: 2088, expected_value: Total, label: employment type} + - {column: J, row: 2088, expected_value: Value, label: measure} + - {column: L, row: 2089, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2019 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2019, expected_value: S92000003, label: geography} + - {column: D, row: 2019, expected_value: Males, label: sex} + - {column: E, row: 2019, expected_value: Total, label: employment type} + - {column: J, row: 2019, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2021 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2021, expected_value: S92000003, label: geography} + - {column: D, row: 2021, expected_value: Males, label: sex} + - {column: E, row: 2021, expected_value: Total, label: employment type} + - {column: J, row: 2021, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2023 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2023, expected_value: S92000003, label: geography} + - {column: D, row: 2023, expected_value: Males, label: sex} + - {column: E, row: 2023, expected_value: Total, label: employment type} + - {column: J, row: 2023, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2025 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2025, expected_value: S92000003, label: geography} + - {column: D, row: 2025, expected_value: Males, label: sex} + - {column: E, row: 2025, expected_value: Total, label: employment type} + - {column: J, row: 2025, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2027 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2027, expected_value: S92000003, label: geography} + - {column: D, row: 2027, expected_value: Males, label: sex} + - {column: E, row: 2027, expected_value: Total, label: employment type} + - {column: J, row: 2027, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2029 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2029, expected_value: S92000003, label: geography} + - {column: D, row: 2029, expected_value: Males, label: sex} + - {column: E, row: 2029, expected_value: Total, label: employment type} + - {column: J, row: 2029, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2031 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2031, expected_value: S92000003, label: geography} + - {column: D, row: 2031, expected_value: Males, label: sex} + - {column: E, row: 2031, expected_value: Total, label: employment type} + - {column: J, row: 2031, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2033 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2033, expected_value: S92000003, label: geography} + - {column: D, row: 2033, expected_value: Males, label: sex} + - {column: E, row: 2033, expected_value: Total, label: employment type} + - {column: J, row: 2033, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2035 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2035, expected_value: S92000003, label: geography} + - {column: D, row: 2035, expected_value: Males, label: sex} + - {column: E, row: 2035, expected_value: Total, label: employment type} + - {column: J, row: 2035, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2037 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2037, expected_value: S92000003, label: geography} + - {column: D, row: 2037, expected_value: Males, label: sex} + - {column: E, row: 2037, expected_value: Total, label: employment type} + - {column: J, row: 2037, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2039 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2039, expected_value: S92000003, label: geography} + - {column: D, row: 2039, expected_value: Males, label: sex} + - {column: E, row: 2039, expected_value: Total, label: employment type} + - {column: J, row: 2039, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2041 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2041, expected_value: S92000003, label: geography} + - {column: D, row: 2041, expected_value: Males, label: sex} + - {column: E, row: 2041, expected_value: Total, label: employment type} + - {column: J, row: 2041, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2043 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2043, expected_value: S92000003, label: geography} + - {column: D, row: 2043, expected_value: Males, label: sex} + - {column: E, row: 2043, expected_value: Total, label: employment type} + - {column: J, row: 2043, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2045 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2045, expected_value: S92000003, label: geography} + - {column: D, row: 2045, expected_value: Males, label: sex} + - {column: E, row: 2045, expected_value: Total, label: employment type} + - {column: J, row: 2045, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2047 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2047, expected_value: S92000003, label: geography} + - {column: D, row: 2047, expected_value: Males, label: sex} + - {column: E, row: 2047, expected_value: Total, label: employment type} + - {column: J, row: 2047, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2049 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2049, expected_value: S92000003, label: geography} + - {column: D, row: 2049, expected_value: Males, label: sex} + - {column: E, row: 2049, expected_value: Total, label: employment type} + - {column: J, row: 2049, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2051 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2051, expected_value: S92000003, label: geography} + - {column: D, row: 2051, expected_value: Males, label: sex} + - {column: E, row: 2051, expected_value: Total, label: employment type} + - {column: J, row: 2051, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2053 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2053, expected_value: S92000003, label: geography} + - {column: D, row: 2053, expected_value: Males, label: sex} + - {column: E, row: 2053, expected_value: Total, label: employment type} + - {column: J, row: 2053, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2055 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2055, expected_value: S92000003, label: geography} + - {column: D, row: 2055, expected_value: Males, label: sex} + - {column: E, row: 2055, expected_value: Total, label: employment type} + - {column: J, row: 2055, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2057 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2057, expected_value: S92000003, label: geography} + - {column: D, row: 2057, expected_value: Males, label: sex} + - {column: E, row: 2057, expected_value: Total, label: employment type} + - {column: J, row: 2057, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2059 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2059, expected_value: S92000003, label: geography} + - {column: D, row: 2059, expected_value: Males, label: sex} + - {column: E, row: 2059, expected_value: Total, label: employment type} + - {column: J, row: 2059, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2061 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2061, expected_value: S92000003, label: geography} + - {column: D, row: 2061, expected_value: Males, label: sex} + - {column: E, row: 2061, expected_value: Total, label: employment type} + - {column: J, row: 2061, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2063 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2063, expected_value: S92000003, label: geography} + - {column: D, row: 2063, expected_value: Males, label: sex} + - {column: E, row: 2063, expected_value: Total, label: employment type} + - {column: J, row: 2063, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2065 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2065, expected_value: S92000003, label: geography} + - {column: D, row: 2065, expected_value: Males, label: sex} + - {column: E, row: 2065, expected_value: Total, label: employment type} + - {column: J, row: 2065, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2067 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2067, expected_value: S92000003, label: geography} + - {column: D, row: 2067, expected_value: Males, label: sex} + - {column: E, row: 2067, expected_value: Total, label: employment type} + - {column: J, row: 2067, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2069 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2069, expected_value: S92000003, label: geography} + - {column: D, row: 2069, expected_value: Males, label: sex} + - {column: E, row: 2069, expected_value: Total, label: employment type} + - {column: J, row: 2069, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2073 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2073, expected_value: S92000003, label: geography} + - {column: D, row: 2073, expected_value: Males, label: sex} + - {column: E, row: 2073, expected_value: Total, label: employment type} + - {column: J, row: 2073, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2075 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2075, expected_value: S92000003, label: geography} + - {column: D, row: 2075, expected_value: Males, label: sex} + - {column: E, row: 2075, expected_value: Total, label: employment type} + - {column: J, row: 2075, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2077 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2077, expected_value: S92000003, label: geography} + - {column: D, row: 2077, expected_value: Males, label: sex} + - {column: E, row: 2077, expected_value: Total, label: employment type} + - {column: J, row: 2077, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2079 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2079, expected_value: S92000003, label: geography} + - {column: D, row: 2079, expected_value: Males, label: sex} + - {column: E, row: 2079, expected_value: Total, label: employment type} + - {column: J, row: 2079, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2081 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2081, expected_value: S92000003, label: geography} + - {column: D, row: 2081, expected_value: Males, label: sex} + - {column: E, row: 2081, expected_value: Total, label: employment type} + - {column: J, row: 2081, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2083 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2083, expected_value: S92000003, label: geography} + - {column: D, row: 2083, expected_value: Males, label: sex} + - {column: E, row: 2083, expected_value: Total, label: employment type} + - {column: J, row: 2083, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2085 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2085, expected_value: S92000003, label: geography} + - {column: D, row: 2085, expected_value: Males, label: sex} + - {column: E, row: 2085, expected_value: Total, label: employment type} + - {column: J, row: 2085, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2087 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2087, expected_value: S92000003, label: geography} + - {column: D, row: 2087, expected_value: Males, label: sex} + - {column: E, row: 2087, expected_value: Total, label: employment type} + - {column: J, row: 2087, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2089 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2089, expected_value: S92000003, label: geography} + - {column: D, row: 2089, expected_value: Males, label: sex} + - {column: E, row: 2089, expected_value: Total, label: employment type} + - {column: J, row: 2089, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2234 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2234, expected_value: S92000003, label: geography} + - {column: D, row: 2234, expected_value: Males, label: sex} + - {column: E, row: 2234, expected_value: Employee, label: employment type} + - {column: J, row: 2234, expected_value: Value, label: measure} + - {column: L, row: 2235, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2236 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2236, expected_value: S92000003, label: geography} + - {column: D, row: 2236, expected_value: Males, label: sex} + - {column: E, row: 2236, expected_value: Employee, label: employment type} + - {column: J, row: 2236, expected_value: Value, label: measure} + - {column: L, row: 2237, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2238 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2238, expected_value: S92000003, label: geography} + - {column: D, row: 2238, expected_value: Males, label: sex} + - {column: E, row: 2238, expected_value: Employee, label: employment type} + - {column: J, row: 2238, expected_value: Value, label: measure} + - {column: L, row: 2239, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2240 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2240, expected_value: S92000003, label: geography} + - {column: D, row: 2240, expected_value: Males, label: sex} + - {column: E, row: 2240, expected_value: Employee, label: employment type} + - {column: J, row: 2240, expected_value: Value, label: measure} + - {column: L, row: 2241, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2242 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2242, expected_value: S92000003, label: geography} + - {column: D, row: 2242, expected_value: Males, label: sex} + - {column: E, row: 2242, expected_value: Employee, label: employment type} + - {column: J, row: 2242, expected_value: Value, label: measure} + - {column: L, row: 2243, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2244 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2244, expected_value: S92000003, label: geography} + - {column: D, row: 2244, expected_value: Males, label: sex} + - {column: E, row: 2244, expected_value: Employee, label: employment type} + - {column: J, row: 2244, expected_value: Value, label: measure} + - {column: L, row: 2245, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2246 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2246, expected_value: S92000003, label: geography} + - {column: D, row: 2246, expected_value: Males, label: sex} + - {column: E, row: 2246, expected_value: Employee, label: employment type} + - {column: J, row: 2246, expected_value: Value, label: measure} + - {column: L, row: 2247, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2248 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2248, expected_value: S92000003, label: geography} + - {column: D, row: 2248, expected_value: Males, label: sex} + - {column: E, row: 2248, expected_value: Employee, label: employment type} + - {column: J, row: 2248, expected_value: Value, label: measure} + - {column: L, row: 2249, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2250 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2250, expected_value: S92000003, label: geography} + - {column: D, row: 2250, expected_value: Males, label: sex} + - {column: E, row: 2250, expected_value: Employee, label: employment type} + - {column: J, row: 2250, expected_value: Value, label: measure} + - {column: L, row: 2251, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2252 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2252, expected_value: S92000003, label: geography} + - {column: D, row: 2252, expected_value: Males, label: sex} + - {column: E, row: 2252, expected_value: Employee, label: employment type} + - {column: J, row: 2252, expected_value: Value, label: measure} + - {column: L, row: 2253, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2254 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2254, expected_value: S92000003, label: geography} + - {column: D, row: 2254, expected_value: Males, label: sex} + - {column: E, row: 2254, expected_value: Employee, label: employment type} + - {column: J, row: 2254, expected_value: Value, label: measure} + - {column: L, row: 2255, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2256 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2256, expected_value: S92000003, label: geography} + - {column: D, row: 2256, expected_value: Males, label: sex} + - {column: E, row: 2256, expected_value: Employee, label: employment type} + - {column: J, row: 2256, expected_value: Value, label: measure} + - {column: L, row: 2257, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2258 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2258, expected_value: S92000003, label: geography} + - {column: D, row: 2258, expected_value: Males, label: sex} + - {column: E, row: 2258, expected_value: Employee, label: employment type} + - {column: J, row: 2258, expected_value: Value, label: measure} + - {column: L, row: 2259, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2260 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2260, expected_value: S92000003, label: geography} + - {column: D, row: 2260, expected_value: Males, label: sex} + - {column: E, row: 2260, expected_value: Employee, label: employment type} + - {column: J, row: 2260, expected_value: Value, label: measure} + - {column: L, row: 2261, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2262 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2262, expected_value: S92000003, label: geography} + - {column: D, row: 2262, expected_value: Males, label: sex} + - {column: E, row: 2262, expected_value: Employee, label: employment type} + - {column: J, row: 2262, expected_value: Value, label: measure} + - {column: L, row: 2263, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2264 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2264, expected_value: S92000003, label: geography} + - {column: D, row: 2264, expected_value: Males, label: sex} + - {column: E, row: 2264, expected_value: Employee, label: employment type} + - {column: J, row: 2264, expected_value: Value, label: measure} + - {column: L, row: 2265, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2266 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2266, expected_value: S92000003, label: geography} + - {column: D, row: 2266, expected_value: Males, label: sex} + - {column: E, row: 2266, expected_value: Employee, label: employment type} + - {column: J, row: 2266, expected_value: Value, label: measure} + - {column: L, row: 2267, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2268 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2268, expected_value: S92000003, label: geography} + - {column: D, row: 2268, expected_value: Males, label: sex} + - {column: E, row: 2268, expected_value: Employee, label: employment type} + - {column: J, row: 2268, expected_value: Value, label: measure} + - {column: L, row: 2269, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2270 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2270, expected_value: S92000003, label: geography} + - {column: D, row: 2270, expected_value: Males, label: sex} + - {column: E, row: 2270, expected_value: Employee, label: employment type} + - {column: J, row: 2270, expected_value: Value, label: measure} + - {column: L, row: 2271, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2272 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2272, expected_value: S92000003, label: geography} + - {column: D, row: 2272, expected_value: Males, label: sex} + - {column: E, row: 2272, expected_value: Employee, label: employment type} + - {column: J, row: 2272, expected_value: Value, label: measure} + - {column: L, row: 2273, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2274 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2274, expected_value: S92000003, label: geography} + - {column: D, row: 2274, expected_value: Males, label: sex} + - {column: E, row: 2274, expected_value: Employee, label: employment type} + - {column: J, row: 2274, expected_value: Value, label: measure} + - {column: L, row: 2275, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2276 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2276, expected_value: S92000003, label: geography} + - {column: D, row: 2276, expected_value: Males, label: sex} + - {column: E, row: 2276, expected_value: Employee, label: employment type} + - {column: J, row: 2276, expected_value: Value, label: measure} + - {column: L, row: 2277, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2278 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2278, expected_value: S92000003, label: geography} + - {column: D, row: 2278, expected_value: Males, label: sex} + - {column: E, row: 2278, expected_value: Employee, label: employment type} + - {column: J, row: 2278, expected_value: Value, label: measure} + - {column: L, row: 2279, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2280 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2280, expected_value: S92000003, label: geography} + - {column: D, row: 2280, expected_value: Males, label: sex} + - {column: E, row: 2280, expected_value: Employee, label: employment type} + - {column: J, row: 2280, expected_value: Value, label: measure} + - {column: L, row: 2281, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2282 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2282, expected_value: S92000003, label: geography} + - {column: D, row: 2282, expected_value: Males, label: sex} + - {column: E, row: 2282, expected_value: Employee, label: employment type} + - {column: J, row: 2282, expected_value: Value, label: measure} + - {column: L, row: 2283, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2284 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2284, expected_value: S92000003, label: geography} + - {column: D, row: 2284, expected_value: Males, label: sex} + - {column: E, row: 2284, expected_value: Employee, label: employment type} + - {column: J, row: 2284, expected_value: Value, label: measure} + - {column: L, row: 2285, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2286 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2286, expected_value: S92000003, label: geography} + - {column: D, row: 2286, expected_value: Males, label: sex} + - {column: E, row: 2286, expected_value: Employee, label: employment type} + - {column: J, row: 2286, expected_value: Value, label: measure} + - {column: L, row: 2287, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2288 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2288, expected_value: S92000003, label: geography} + - {column: D, row: 2288, expected_value: Males, label: sex} + - {column: E, row: 2288, expected_value: Employee, label: employment type} + - {column: J, row: 2288, expected_value: Value, label: measure} + - {column: L, row: 2289, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2290 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2290, expected_value: S92000003, label: geography} + - {column: D, row: 2290, expected_value: Males, label: sex} + - {column: E, row: 2290, expected_value: Employee, label: employment type} + - {column: J, row: 2290, expected_value: Value, label: measure} + - {column: L, row: 2291, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2292 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2292, expected_value: S92000003, label: geography} + - {column: D, row: 2292, expected_value: Males, label: sex} + - {column: E, row: 2292, expected_value: Employee, label: employment type} + - {column: J, row: 2292, expected_value: Value, label: measure} + - {column: L, row: 2293, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2294 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2294, expected_value: S92000003, label: geography} + - {column: D, row: 2294, expected_value: Males, label: sex} + - {column: E, row: 2294, expected_value: Employee, label: employment type} + - {column: J, row: 2294, expected_value: Value, label: measure} + - {column: L, row: 2295, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2296 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2296, expected_value: S92000003, label: geography} + - {column: D, row: 2296, expected_value: Males, label: sex} + - {column: E, row: 2296, expected_value: Employee, label: employment type} + - {column: J, row: 2296, expected_value: Value, label: measure} + - {column: L, row: 2297, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2298 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2298, expected_value: S92000003, label: geography} + - {column: D, row: 2298, expected_value: Males, label: sex} + - {column: E, row: 2298, expected_value: Employee, label: employment type} + - {column: J, row: 2298, expected_value: Value, label: measure} + - {column: L, row: 2299, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2300 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2300, expected_value: S92000003, label: geography} + - {column: D, row: 2300, expected_value: Males, label: sex} + - {column: E, row: 2300, expected_value: Employee, label: employment type} + - {column: J, row: 2300, expected_value: Value, label: measure} + - {column: L, row: 2301, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2302 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2302, expected_value: S92000003, label: geography} + - {column: D, row: 2302, expected_value: Males, label: sex} + - {column: E, row: 2302, expected_value: Employee, label: employment type} + - {column: J, row: 2302, expected_value: Value, label: measure} + - {column: L, row: 2303, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2304 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2304, expected_value: S92000003, label: geography} + - {column: D, row: 2304, expected_value: Males, label: sex} + - {column: E, row: 2304, expected_value: Employee, label: employment type} + - {column: J, row: 2304, expected_value: Value, label: measure} + - {column: L, row: 2305, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2235 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2235, expected_value: S92000003, label: geography} + - {column: D, row: 2235, expected_value: Males, label: sex} + - {column: E, row: 2235, expected_value: Employee, label: employment type} + - {column: J, row: 2235, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2237 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2237, expected_value: S92000003, label: geography} + - {column: D, row: 2237, expected_value: Males, label: sex} + - {column: E, row: 2237, expected_value: Employee, label: employment type} + - {column: J, row: 2237, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2239 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2239, expected_value: S92000003, label: geography} + - {column: D, row: 2239, expected_value: Males, label: sex} + - {column: E, row: 2239, expected_value: Employee, label: employment type} + - {column: J, row: 2239, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2241 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2241, expected_value: S92000003, label: geography} + - {column: D, row: 2241, expected_value: Males, label: sex} + - {column: E, row: 2241, expected_value: Employee, label: employment type} + - {column: J, row: 2241, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2243 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2243, expected_value: S92000003, label: geography} + - {column: D, row: 2243, expected_value: Males, label: sex} + - {column: E, row: 2243, expected_value: Employee, label: employment type} + - {column: J, row: 2243, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2245 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2245, expected_value: S92000003, label: geography} + - {column: D, row: 2245, expected_value: Males, label: sex} + - {column: E, row: 2245, expected_value: Employee, label: employment type} + - {column: J, row: 2245, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2247 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2247, expected_value: S92000003, label: geography} + - {column: D, row: 2247, expected_value: Males, label: sex} + - {column: E, row: 2247, expected_value: Employee, label: employment type} + - {column: J, row: 2247, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2249 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2249, expected_value: S92000003, label: geography} + - {column: D, row: 2249, expected_value: Males, label: sex} + - {column: E, row: 2249, expected_value: Employee, label: employment type} + - {column: J, row: 2249, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2251 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2251, expected_value: S92000003, label: geography} + - {column: D, row: 2251, expected_value: Males, label: sex} + - {column: E, row: 2251, expected_value: Employee, label: employment type} + - {column: J, row: 2251, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2253 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2253, expected_value: S92000003, label: geography} + - {column: D, row: 2253, expected_value: Males, label: sex} + - {column: E, row: 2253, expected_value: Employee, label: employment type} + - {column: J, row: 2253, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2255 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2255, expected_value: S92000003, label: geography} + - {column: D, row: 2255, expected_value: Males, label: sex} + - {column: E, row: 2255, expected_value: Employee, label: employment type} + - {column: J, row: 2255, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2257 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2257, expected_value: S92000003, label: geography} + - {column: D, row: 2257, expected_value: Males, label: sex} + - {column: E, row: 2257, expected_value: Employee, label: employment type} + - {column: J, row: 2257, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2259 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2259, expected_value: S92000003, label: geography} + - {column: D, row: 2259, expected_value: Males, label: sex} + - {column: E, row: 2259, expected_value: Employee, label: employment type} + - {column: J, row: 2259, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2261 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2261, expected_value: S92000003, label: geography} + - {column: D, row: 2261, expected_value: Males, label: sex} + - {column: E, row: 2261, expected_value: Employee, label: employment type} + - {column: J, row: 2261, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2263 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2263, expected_value: S92000003, label: geography} + - {column: D, row: 2263, expected_value: Males, label: sex} + - {column: E, row: 2263, expected_value: Employee, label: employment type} + - {column: J, row: 2263, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2265 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2265, expected_value: S92000003, label: geography} + - {column: D, row: 2265, expected_value: Males, label: sex} + - {column: E, row: 2265, expected_value: Employee, label: employment type} + - {column: J, row: 2265, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2267 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2267, expected_value: S92000003, label: geography} + - {column: D, row: 2267, expected_value: Males, label: sex} + - {column: E, row: 2267, expected_value: Employee, label: employment type} + - {column: J, row: 2267, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2269 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2269, expected_value: S92000003, label: geography} + - {column: D, row: 2269, expected_value: Males, label: sex} + - {column: E, row: 2269, expected_value: Employee, label: employment type} + - {column: J, row: 2269, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2271 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2271, expected_value: S92000003, label: geography} + - {column: D, row: 2271, expected_value: Males, label: sex} + - {column: E, row: 2271, expected_value: Employee, label: employment type} + - {column: J, row: 2271, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2273 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2273, expected_value: S92000003, label: geography} + - {column: D, row: 2273, expected_value: Males, label: sex} + - {column: E, row: 2273, expected_value: Employee, label: employment type} + - {column: J, row: 2273, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2275 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2275, expected_value: S92000003, label: geography} + - {column: D, row: 2275, expected_value: Males, label: sex} + - {column: E, row: 2275, expected_value: Employee, label: employment type} + - {column: J, row: 2275, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2277 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2277, expected_value: S92000003, label: geography} + - {column: D, row: 2277, expected_value: Males, label: sex} + - {column: E, row: 2277, expected_value: Employee, label: employment type} + - {column: J, row: 2277, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2279 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2279, expected_value: S92000003, label: geography} + - {column: D, row: 2279, expected_value: Males, label: sex} + - {column: E, row: 2279, expected_value: Employee, label: employment type} + - {column: J, row: 2279, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2281 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2281, expected_value: S92000003, label: geography} + - {column: D, row: 2281, expected_value: Males, label: sex} + - {column: E, row: 2281, expected_value: Employee, label: employment type} + - {column: J, row: 2281, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2283 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2283, expected_value: S92000003, label: geography} + - {column: D, row: 2283, expected_value: Males, label: sex} + - {column: E, row: 2283, expected_value: Employee, label: employment type} + - {column: J, row: 2283, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2285 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2285, expected_value: S92000003, label: geography} + - {column: D, row: 2285, expected_value: Males, label: sex} + - {column: E, row: 2285, expected_value: Employee, label: employment type} + - {column: J, row: 2285, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2289 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2289, expected_value: S92000003, label: geography} + - {column: D, row: 2289, expected_value: Males, label: sex} + - {column: E, row: 2289, expected_value: Employee, label: employment type} + - {column: J, row: 2289, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2291 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2291, expected_value: S92000003, label: geography} + - {column: D, row: 2291, expected_value: Males, label: sex} + - {column: E, row: 2291, expected_value: Employee, label: employment type} + - {column: J, row: 2291, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2293 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2293, expected_value: S92000003, label: geography} + - {column: D, row: 2293, expected_value: Males, label: sex} + - {column: E, row: 2293, expected_value: Employee, label: employment type} + - {column: J, row: 2293, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2295 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2295, expected_value: S92000003, label: geography} + - {column: D, row: 2295, expected_value: Males, label: sex} + - {column: E, row: 2295, expected_value: Employee, label: employment type} + - {column: J, row: 2295, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2297 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2297, expected_value: S92000003, label: geography} + - {column: D, row: 2297, expected_value: Males, label: sex} + - {column: E, row: 2297, expected_value: Employee, label: employment type} + - {column: J, row: 2297, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2299 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2299, expected_value: S92000003, label: geography} + - {column: D, row: 2299, expected_value: Males, label: sex} + - {column: E, row: 2299, expected_value: Employee, label: employment type} + - {column: J, row: 2299, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2301 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2301, expected_value: S92000003, label: geography} + - {column: D, row: 2301, expected_value: Males, label: sex} + - {column: E, row: 2301, expected_value: Employee, label: employment type} + - {column: J, row: 2301, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2303 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2303, expected_value: S92000003, label: geography} + - {column: D, row: 2303, expected_value: Males, label: sex} + - {column: E, row: 2303, expected_value: Employee, label: employment type} + - {column: J, row: 2303, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2305 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2305, expected_value: S92000003, label: geography} + - {column: D, row: 2305, expected_value: Males, label: sex} + - {column: E, row: 2305, expected_value: Employee, label: employment type} + - {column: J, row: 2305, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2450 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2450, expected_value: S92000003, label: geography} + - {column: D, row: 2450, expected_value: Males, label: sex} + - {column: E, row: 2450, expected_value: Self-employed, label: employment type} + - {column: J, row: 2450, expected_value: Value, label: measure} + - {column: L, row: 2451, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2452 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2452, expected_value: S92000003, label: geography} + - {column: D, row: 2452, expected_value: Males, label: sex} + - {column: E, row: 2452, expected_value: Self-employed, label: employment type} + - {column: J, row: 2452, expected_value: Value, label: measure} + - {column: L, row: 2453, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2454 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2454, expected_value: S92000003, label: geography} + - {column: D, row: 2454, expected_value: Males, label: sex} + - {column: E, row: 2454, expected_value: Self-employed, label: employment type} + - {column: J, row: 2454, expected_value: Value, label: measure} + - {column: L, row: 2455, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2456 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2456, expected_value: S92000003, label: geography} + - {column: D, row: 2456, expected_value: Males, label: sex} + - {column: E, row: 2456, expected_value: Self-employed, label: employment type} + - {column: J, row: 2456, expected_value: Value, label: measure} + - {column: L, row: 2457, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2458 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2458, expected_value: S92000003, label: geography} + - {column: D, row: 2458, expected_value: Males, label: sex} + - {column: E, row: 2458, expected_value: Self-employed, label: employment type} + - {column: J, row: 2458, expected_value: Value, label: measure} + - {column: L, row: 2459, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2460 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2460, expected_value: S92000003, label: geography} + - {column: D, row: 2460, expected_value: Males, label: sex} + - {column: E, row: 2460, expected_value: Self-employed, label: employment type} + - {column: J, row: 2460, expected_value: Value, label: measure} + - {column: L, row: 2461, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2462 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2462, expected_value: S92000003, label: geography} + - {column: D, row: 2462, expected_value: Males, label: sex} + - {column: E, row: 2462, expected_value: Self-employed, label: employment type} + - {column: J, row: 2462, expected_value: Value, label: measure} + - {column: L, row: 2463, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2464 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2464, expected_value: S92000003, label: geography} + - {column: D, row: 2464, expected_value: Males, label: sex} + - {column: E, row: 2464, expected_value: Self-employed, label: employment type} + - {column: J, row: 2464, expected_value: Value, label: measure} + - {column: L, row: 2465, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2466 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2466, expected_value: S92000003, label: geography} + - {column: D, row: 2466, expected_value: Males, label: sex} + - {column: E, row: 2466, expected_value: Self-employed, label: employment type} + - {column: J, row: 2466, expected_value: Value, label: measure} + - {column: L, row: 2467, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2468 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2468, expected_value: S92000003, label: geography} + - {column: D, row: 2468, expected_value: Males, label: sex} + - {column: E, row: 2468, expected_value: Self-employed, label: employment type} + - {column: J, row: 2468, expected_value: Value, label: measure} + - {column: L, row: 2469, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2470 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2470, expected_value: S92000003, label: geography} + - {column: D, row: 2470, expected_value: Males, label: sex} + - {column: E, row: 2470, expected_value: Self-employed, label: employment type} + - {column: J, row: 2470, expected_value: Value, label: measure} + - {column: L, row: 2471, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2472 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2472, expected_value: S92000003, label: geography} + - {column: D, row: 2472, expected_value: Males, label: sex} + - {column: E, row: 2472, expected_value: Self-employed, label: employment type} + - {column: J, row: 2472, expected_value: Value, label: measure} + - {column: L, row: 2473, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2476 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2476, expected_value: S92000003, label: geography} + - {column: D, row: 2476, expected_value: Males, label: sex} + - {column: E, row: 2476, expected_value: Self-employed, label: employment type} + - {column: J, row: 2476, expected_value: Value, label: measure} + - {column: L, row: 2477, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2478 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2478, expected_value: S92000003, label: geography} + - {column: D, row: 2478, expected_value: Males, label: sex} + - {column: E, row: 2478, expected_value: Self-employed, label: employment type} + - {column: J, row: 2478, expected_value: Value, label: measure} + - {column: L, row: 2479, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2480 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2480, expected_value: S92000003, label: geography} + - {column: D, row: 2480, expected_value: Males, label: sex} + - {column: E, row: 2480, expected_value: Self-employed, label: employment type} + - {column: J, row: 2480, expected_value: Value, label: measure} + - {column: L, row: 2481, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2482 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2482, expected_value: S92000003, label: geography} + - {column: D, row: 2482, expected_value: Males, label: sex} + - {column: E, row: 2482, expected_value: Self-employed, label: employment type} + - {column: J, row: 2482, expected_value: Value, label: measure} + - {column: L, row: 2483, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2486 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2486, expected_value: S92000003, label: geography} + - {column: D, row: 2486, expected_value: Males, label: sex} + - {column: E, row: 2486, expected_value: Self-employed, label: employment type} + - {column: J, row: 2486, expected_value: Value, label: measure} + - {column: L, row: 2487, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2488 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2488, expected_value: S92000003, label: geography} + - {column: D, row: 2488, expected_value: Males, label: sex} + - {column: E, row: 2488, expected_value: Self-employed, label: employment type} + - {column: J, row: 2488, expected_value: Value, label: measure} + - {column: L, row: 2489, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2490 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2490, expected_value: S92000003, label: geography} + - {column: D, row: 2490, expected_value: Males, label: sex} + - {column: E, row: 2490, expected_value: Self-employed, label: employment type} + - {column: J, row: 2490, expected_value: Value, label: measure} + - {column: L, row: 2491, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2492 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2492, expected_value: S92000003, label: geography} + - {column: D, row: 2492, expected_value: Males, label: sex} + - {column: E, row: 2492, expected_value: Self-employed, label: employment type} + - {column: J, row: 2492, expected_value: Value, label: measure} + - {column: L, row: 2493, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2494 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2494, expected_value: S92000003, label: geography} + - {column: D, row: 2494, expected_value: Males, label: sex} + - {column: E, row: 2494, expected_value: Self-employed, label: employment type} + - {column: J, row: 2494, expected_value: Value, label: measure} + - {column: L, row: 2495, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2496 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2496, expected_value: S92000003, label: geography} + - {column: D, row: 2496, expected_value: Males, label: sex} + - {column: E, row: 2496, expected_value: Self-employed, label: employment type} + - {column: J, row: 2496, expected_value: Value, label: measure} + - {column: L, row: 2497, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2498 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2498, expected_value: S92000003, label: geography} + - {column: D, row: 2498, expected_value: Males, label: sex} + - {column: E, row: 2498, expected_value: Self-employed, label: employment type} + - {column: J, row: 2498, expected_value: Value, label: measure} + - {column: L, row: 2499, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2500 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2500, expected_value: S92000003, label: geography} + - {column: D, row: 2500, expected_value: Males, label: sex} + - {column: E, row: 2500, expected_value: Self-employed, label: employment type} + - {column: J, row: 2500, expected_value: Value, label: measure} + - {column: L, row: 2501, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2504 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2504, expected_value: S92000003, label: geography} + - {column: D, row: 2504, expected_value: Males, label: sex} + - {column: E, row: 2504, expected_value: Self-employed, label: employment type} + - {column: J, row: 2504, expected_value: Value, label: measure} + - {column: L, row: 2505, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2506 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2506, expected_value: S92000003, label: geography} + - {column: D, row: 2506, expected_value: Males, label: sex} + - {column: E, row: 2506, expected_value: Self-employed, label: employment type} + - {column: J, row: 2506, expected_value: Value, label: measure} + - {column: L, row: 2507, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2510 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2510, expected_value: S92000003, label: geography} + - {column: D, row: 2510, expected_value: Males, label: sex} + - {column: E, row: 2510, expected_value: Self-employed, label: employment type} + - {column: J, row: 2510, expected_value: Value, label: measure} + - {column: L, row: 2511, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2512 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2512, expected_value: S92000003, label: geography} + - {column: D, row: 2512, expected_value: Males, label: sex} + - {column: E, row: 2512, expected_value: Self-employed, label: employment type} + - {column: J, row: 2512, expected_value: Value, label: measure} + - {column: L, row: 2513, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2514 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2514, expected_value: S92000003, label: geography} + - {column: D, row: 2514, expected_value: Males, label: sex} + - {column: E, row: 2514, expected_value: Self-employed, label: employment type} + - {column: J, row: 2514, expected_value: Value, label: measure} + - {column: L, row: 2515, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2516 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2516, expected_value: S92000003, label: geography} + - {column: D, row: 2516, expected_value: Males, label: sex} + - {column: E, row: 2516, expected_value: Self-employed, label: employment type} + - {column: J, row: 2516, expected_value: Value, label: measure} + - {column: L, row: 2517, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2518 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2518, expected_value: S92000003, label: geography} + - {column: D, row: 2518, expected_value: Males, label: sex} + - {column: E, row: 2518, expected_value: Self-employed, label: employment type} + - {column: J, row: 2518, expected_value: Value, label: measure} + - {column: L, row: 2519, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2520 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2520, expected_value: S92000003, label: geography} + - {column: D, row: 2520, expected_value: Males, label: sex} + - {column: E, row: 2520, expected_value: Self-employed, label: employment type} + - {column: J, row: 2520, expected_value: Value, label: measure} + - {column: L, row: 2521, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2451 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2451, expected_value: S92000003, label: geography} + - {column: D, row: 2451, expected_value: Males, label: sex} + - {column: E, row: 2451, expected_value: Self-employed, label: employment type} + - {column: J, row: 2451, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2453 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2453, expected_value: S92000003, label: geography} + - {column: D, row: 2453, expected_value: Males, label: sex} + - {column: E, row: 2453, expected_value: Self-employed, label: employment type} + - {column: J, row: 2453, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2455 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2455, expected_value: S92000003, label: geography} + - {column: D, row: 2455, expected_value: Males, label: sex} + - {column: E, row: 2455, expected_value: Self-employed, label: employment type} + - {column: J, row: 2455, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2457 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2457, expected_value: S92000003, label: geography} + - {column: D, row: 2457, expected_value: Males, label: sex} + - {column: E, row: 2457, expected_value: Self-employed, label: employment type} + - {column: J, row: 2457, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2459 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2459, expected_value: S92000003, label: geography} + - {column: D, row: 2459, expected_value: Males, label: sex} + - {column: E, row: 2459, expected_value: Self-employed, label: employment type} + - {column: J, row: 2459, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2461 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2461, expected_value: S92000003, label: geography} + - {column: D, row: 2461, expected_value: Males, label: sex} + - {column: E, row: 2461, expected_value: Self-employed, label: employment type} + - {column: J, row: 2461, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2463 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2463, expected_value: S92000003, label: geography} + - {column: D, row: 2463, expected_value: Males, label: sex} + - {column: E, row: 2463, expected_value: Self-employed, label: employment type} + - {column: J, row: 2463, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2465 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2465, expected_value: S92000003, label: geography} + - {column: D, row: 2465, expected_value: Males, label: sex} + - {column: E, row: 2465, expected_value: Self-employed, label: employment type} + - {column: J, row: 2465, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2467 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2467, expected_value: S92000003, label: geography} + - {column: D, row: 2467, expected_value: Males, label: sex} + - {column: E, row: 2467, expected_value: Self-employed, label: employment type} + - {column: J, row: 2467, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2469 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2469, expected_value: S92000003, label: geography} + - {column: D, row: 2469, expected_value: Males, label: sex} + - {column: E, row: 2469, expected_value: Self-employed, label: employment type} + - {column: J, row: 2469, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2477 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2477, expected_value: S92000003, label: geography} + - {column: D, row: 2477, expected_value: Males, label: sex} + - {column: E, row: 2477, expected_value: Self-employed, label: employment type} + - {column: J, row: 2477, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2479 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2479, expected_value: S92000003, label: geography} + - {column: D, row: 2479, expected_value: Males, label: sex} + - {column: E, row: 2479, expected_value: Self-employed, label: employment type} + - {column: J, row: 2479, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2487 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2487, expected_value: S92000003, label: geography} + - {column: D, row: 2487, expected_value: Males, label: sex} + - {column: E, row: 2487, expected_value: Self-employed, label: employment type} + - {column: J, row: 2487, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2489 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2489, expected_value: S92000003, label: geography} + - {column: D, row: 2489, expected_value: Males, label: sex} + - {column: E, row: 2489, expected_value: Self-employed, label: employment type} + - {column: J, row: 2489, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2491 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2491, expected_value: S92000003, label: geography} + - {column: D, row: 2491, expected_value: Males, label: sex} + - {column: E, row: 2491, expected_value: Self-employed, label: employment type} + - {column: J, row: 2491, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2493 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2493, expected_value: S92000003, label: geography} + - {column: D, row: 2493, expected_value: Males, label: sex} + - {column: E, row: 2493, expected_value: Self-employed, label: employment type} + - {column: J, row: 2493, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2495 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2495, expected_value: S92000003, label: geography} + - {column: D, row: 2495, expected_value: Males, label: sex} + - {column: E, row: 2495, expected_value: Self-employed, label: employment type} + - {column: J, row: 2495, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2497 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2497, expected_value: S92000003, label: geography} + - {column: D, row: 2497, expected_value: Males, label: sex} + - {column: E, row: 2497, expected_value: Self-employed, label: employment type} + - {column: J, row: 2497, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2499 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2499, expected_value: S92000003, label: geography} + - {column: D, row: 2499, expected_value: Males, label: sex} + - {column: E, row: 2499, expected_value: Self-employed, label: employment type} + - {column: J, row: 2499, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2501 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2501, expected_value: S92000003, label: geography} + - {column: D, row: 2501, expected_value: Males, label: sex} + - {column: E, row: 2501, expected_value: Self-employed, label: employment type} + - {column: J, row: 2501, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2505 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2505, expected_value: S92000003, label: geography} + - {column: D, row: 2505, expected_value: Males, label: sex} + - {column: E, row: 2505, expected_value: Self-employed, label: employment type} + - {column: J, row: 2505, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2507 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2507, expected_value: S92000003, label: geography} + - {column: D, row: 2507, expected_value: Males, label: sex} + - {column: E, row: 2507, expected_value: Self-employed, label: employment type} + - {column: J, row: 2507, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2511 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2511, expected_value: S92000003, label: geography} + - {column: D, row: 2511, expected_value: Males, label: sex} + - {column: E, row: 2511, expected_value: Self-employed, label: employment type} + - {column: J, row: 2511, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2513 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2513, expected_value: S92000003, label: geography} + - {column: D, row: 2513, expected_value: Males, label: sex} + - {column: E, row: 2513, expected_value: Self-employed, label: employment type} + - {column: J, row: 2513, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2515 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2515, expected_value: S92000003, label: geography} + - {column: D, row: 2515, expected_value: Males, label: sex} + - {column: E, row: 2515, expected_value: Self-employed, label: employment type} + - {column: J, row: 2515, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2517 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2517, expected_value: S92000003, label: geography} + - {column: D, row: 2517, expected_value: Males, label: sex} + - {column: E, row: 2517, expected_value: Self-employed, label: employment type} + - {column: J, row: 2517, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2519 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2519, expected_value: S92000003, label: geography} + - {column: D, row: 2519, expected_value: Males, label: sex} + - {column: E, row: 2519, expected_value: Self-employed, label: employment type} + - {column: J, row: 2519, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2521 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2521, expected_value: S92000003, label: geography} + - {column: D, row: 2521, expected_value: Males, label: sex} + - {column: E, row: 2521, expected_value: Self-employed, label: employment type} + - {column: J, row: 2521, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2090 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2090, expected_value: S92000003, label: geography} + - {column: D, row: 2090, expected_value: Females, label: sex} + - {column: E, row: 2090, expected_value: Total, label: employment type} + - {column: J, row: 2090, expected_value: Value, label: measure} + - {column: L, row: 2091, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2092 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2092, expected_value: S92000003, label: geography} + - {column: D, row: 2092, expected_value: Females, label: sex} + - {column: E, row: 2092, expected_value: Total, label: employment type} + - {column: J, row: 2092, expected_value: Value, label: measure} + - {column: L, row: 2093, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2094 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2094, expected_value: S92000003, label: geography} + - {column: D, row: 2094, expected_value: Females, label: sex} + - {column: E, row: 2094, expected_value: Total, label: employment type} + - {column: J, row: 2094, expected_value: Value, label: measure} + - {column: L, row: 2095, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2096 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2096, expected_value: S92000003, label: geography} + - {column: D, row: 2096, expected_value: Females, label: sex} + - {column: E, row: 2096, expected_value: Total, label: employment type} + - {column: J, row: 2096, expected_value: Value, label: measure} + - {column: L, row: 2097, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2098 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2098, expected_value: S92000003, label: geography} + - {column: D, row: 2098, expected_value: Females, label: sex} + - {column: E, row: 2098, expected_value: Total, label: employment type} + - {column: J, row: 2098, expected_value: Value, label: measure} + - {column: L, row: 2099, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2100 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2100, expected_value: S92000003, label: geography} + - {column: D, row: 2100, expected_value: Females, label: sex} + - {column: E, row: 2100, expected_value: Total, label: employment type} + - {column: J, row: 2100, expected_value: Value, label: measure} + - {column: L, row: 2101, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2102 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2102, expected_value: S92000003, label: geography} + - {column: D, row: 2102, expected_value: Females, label: sex} + - {column: E, row: 2102, expected_value: Total, label: employment type} + - {column: J, row: 2102, expected_value: Value, label: measure} + - {column: L, row: 2103, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2104 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2104, expected_value: S92000003, label: geography} + - {column: D, row: 2104, expected_value: Females, label: sex} + - {column: E, row: 2104, expected_value: Total, label: employment type} + - {column: J, row: 2104, expected_value: Value, label: measure} + - {column: L, row: 2105, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2106 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2106, expected_value: S92000003, label: geography} + - {column: D, row: 2106, expected_value: Females, label: sex} + - {column: E, row: 2106, expected_value: Total, label: employment type} + - {column: J, row: 2106, expected_value: Value, label: measure} + - {column: L, row: 2107, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2108 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2108, expected_value: S92000003, label: geography} + - {column: D, row: 2108, expected_value: Females, label: sex} + - {column: E, row: 2108, expected_value: Total, label: employment type} + - {column: J, row: 2108, expected_value: Value, label: measure} + - {column: L, row: 2109, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2110 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2110, expected_value: S92000003, label: geography} + - {column: D, row: 2110, expected_value: Females, label: sex} + - {column: E, row: 2110, expected_value: Total, label: employment type} + - {column: J, row: 2110, expected_value: Value, label: measure} + - {column: L, row: 2111, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2112 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2112, expected_value: S92000003, label: geography} + - {column: D, row: 2112, expected_value: Females, label: sex} + - {column: E, row: 2112, expected_value: Total, label: employment type} + - {column: J, row: 2112, expected_value: Value, label: measure} + - {column: L, row: 2113, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2114 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2114, expected_value: S92000003, label: geography} + - {column: D, row: 2114, expected_value: Females, label: sex} + - {column: E, row: 2114, expected_value: Total, label: employment type} + - {column: J, row: 2114, expected_value: Value, label: measure} + - {column: L, row: 2115, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2116 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2116, expected_value: S92000003, label: geography} + - {column: D, row: 2116, expected_value: Females, label: sex} + - {column: E, row: 2116, expected_value: Total, label: employment type} + - {column: J, row: 2116, expected_value: Value, label: measure} + - {column: L, row: 2117, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2118 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2118, expected_value: S92000003, label: geography} + - {column: D, row: 2118, expected_value: Females, label: sex} + - {column: E, row: 2118, expected_value: Total, label: employment type} + - {column: J, row: 2118, expected_value: Value, label: measure} + - {column: L, row: 2119, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2120 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2120, expected_value: S92000003, label: geography} + - {column: D, row: 2120, expected_value: Females, label: sex} + - {column: E, row: 2120, expected_value: Total, label: employment type} + - {column: J, row: 2120, expected_value: Value, label: measure} + - {column: L, row: 2121, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2122 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2122, expected_value: S92000003, label: geography} + - {column: D, row: 2122, expected_value: Females, label: sex} + - {column: E, row: 2122, expected_value: Total, label: employment type} + - {column: J, row: 2122, expected_value: Value, label: measure} + - {column: L, row: 2123, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2124 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2124, expected_value: S92000003, label: geography} + - {column: D, row: 2124, expected_value: Females, label: sex} + - {column: E, row: 2124, expected_value: Total, label: employment type} + - {column: J, row: 2124, expected_value: Value, label: measure} + - {column: L, row: 2125, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2126 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2126, expected_value: S92000003, label: geography} + - {column: D, row: 2126, expected_value: Females, label: sex} + - {column: E, row: 2126, expected_value: Total, label: employment type} + - {column: J, row: 2126, expected_value: Value, label: measure} + - {column: L, row: 2127, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2128 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2128, expected_value: S92000003, label: geography} + - {column: D, row: 2128, expected_value: Females, label: sex} + - {column: E, row: 2128, expected_value: Total, label: employment type} + - {column: J, row: 2128, expected_value: Value, label: measure} + - {column: L, row: 2129, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2130 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2130, expected_value: S92000003, label: geography} + - {column: D, row: 2130, expected_value: Females, label: sex} + - {column: E, row: 2130, expected_value: Total, label: employment type} + - {column: J, row: 2130, expected_value: Value, label: measure} + - {column: L, row: 2131, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2132 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2132, expected_value: S92000003, label: geography} + - {column: D, row: 2132, expected_value: Females, label: sex} + - {column: E, row: 2132, expected_value: Total, label: employment type} + - {column: J, row: 2132, expected_value: Value, label: measure} + - {column: L, row: 2133, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2134 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2134, expected_value: S92000003, label: geography} + - {column: D, row: 2134, expected_value: Females, label: sex} + - {column: E, row: 2134, expected_value: Total, label: employment type} + - {column: J, row: 2134, expected_value: Value, label: measure} + - {column: L, row: 2135, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2136 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2136, expected_value: S92000003, label: geography} + - {column: D, row: 2136, expected_value: Females, label: sex} + - {column: E, row: 2136, expected_value: Total, label: employment type} + - {column: J, row: 2136, expected_value: Value, label: measure} + - {column: L, row: 2137, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2138 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2138, expected_value: S92000003, label: geography} + - {column: D, row: 2138, expected_value: Females, label: sex} + - {column: E, row: 2138, expected_value: Total, label: employment type} + - {column: J, row: 2138, expected_value: Value, label: measure} + - {column: L, row: 2139, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2140 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2140, expected_value: S92000003, label: geography} + - {column: D, row: 2140, expected_value: Females, label: sex} + - {column: E, row: 2140, expected_value: Total, label: employment type} + - {column: J, row: 2140, expected_value: Value, label: measure} + - {column: L, row: 2141, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2144 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2144, expected_value: S92000003, label: geography} + - {column: D, row: 2144, expected_value: Females, label: sex} + - {column: E, row: 2144, expected_value: Total, label: employment type} + - {column: J, row: 2144, expected_value: Value, label: measure} + - {column: L, row: 2145, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2146 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2146, expected_value: S92000003, label: geography} + - {column: D, row: 2146, expected_value: Females, label: sex} + - {column: E, row: 2146, expected_value: Total, label: employment type} + - {column: J, row: 2146, expected_value: Value, label: measure} + - {column: L, row: 2147, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2148 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2148, expected_value: S92000003, label: geography} + - {column: D, row: 2148, expected_value: Females, label: sex} + - {column: E, row: 2148, expected_value: Total, label: employment type} + - {column: J, row: 2148, expected_value: Value, label: measure} + - {column: L, row: 2149, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2150 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2150, expected_value: S92000003, label: geography} + - {column: D, row: 2150, expected_value: Females, label: sex} + - {column: E, row: 2150, expected_value: Total, label: employment type} + - {column: J, row: 2150, expected_value: Value, label: measure} + - {column: L, row: 2151, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2152 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2152, expected_value: S92000003, label: geography} + - {column: D, row: 2152, expected_value: Females, label: sex} + - {column: E, row: 2152, expected_value: Total, label: employment type} + - {column: J, row: 2152, expected_value: Value, label: measure} + - {column: L, row: 2153, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2154 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2154, expected_value: S92000003, label: geography} + - {column: D, row: 2154, expected_value: Females, label: sex} + - {column: E, row: 2154, expected_value: Total, label: employment type} + - {column: J, row: 2154, expected_value: Value, label: measure} + - {column: L, row: 2155, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2156 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2156, expected_value: S92000003, label: geography} + - {column: D, row: 2156, expected_value: Females, label: sex} + - {column: E, row: 2156, expected_value: Total, label: employment type} + - {column: J, row: 2156, expected_value: Value, label: measure} + - {column: L, row: 2157, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2158 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2158, expected_value: S92000003, label: geography} + - {column: D, row: 2158, expected_value: Females, label: sex} + - {column: E, row: 2158, expected_value: Total, label: employment type} + - {column: J, row: 2158, expected_value: Value, label: measure} + - {column: L, row: 2159, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2160 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2160, expected_value: S92000003, label: geography} + - {column: D, row: 2160, expected_value: Females, label: sex} + - {column: E, row: 2160, expected_value: Total, label: employment type} + - {column: J, row: 2160, expected_value: Value, label: measure} + - {column: L, row: 2161, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2091 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2091, expected_value: S92000003, label: geography} + - {column: D, row: 2091, expected_value: Females, label: sex} + - {column: E, row: 2091, expected_value: Total, label: employment type} + - {column: J, row: 2091, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2093 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2093, expected_value: S92000003, label: geography} + - {column: D, row: 2093, expected_value: Females, label: sex} + - {column: E, row: 2093, expected_value: Total, label: employment type} + - {column: J, row: 2093, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2095 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2095, expected_value: S92000003, label: geography} + - {column: D, row: 2095, expected_value: Females, label: sex} + - {column: E, row: 2095, expected_value: Total, label: employment type} + - {column: J, row: 2095, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2097 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2097, expected_value: S92000003, label: geography} + - {column: D, row: 2097, expected_value: Females, label: sex} + - {column: E, row: 2097, expected_value: Total, label: employment type} + - {column: J, row: 2097, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2099 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2099, expected_value: S92000003, label: geography} + - {column: D, row: 2099, expected_value: Females, label: sex} + - {column: E, row: 2099, expected_value: Total, label: employment type} + - {column: J, row: 2099, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2101 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2101, expected_value: S92000003, label: geography} + - {column: D, row: 2101, expected_value: Females, label: sex} + - {column: E, row: 2101, expected_value: Total, label: employment type} + - {column: J, row: 2101, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2103 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2103, expected_value: S92000003, label: geography} + - {column: D, row: 2103, expected_value: Females, label: sex} + - {column: E, row: 2103, expected_value: Total, label: employment type} + - {column: J, row: 2103, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2105 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2105, expected_value: S92000003, label: geography} + - {column: D, row: 2105, expected_value: Females, label: sex} + - {column: E, row: 2105, expected_value: Total, label: employment type} + - {column: J, row: 2105, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2107 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2107, expected_value: S92000003, label: geography} + - {column: D, row: 2107, expected_value: Females, label: sex} + - {column: E, row: 2107, expected_value: Total, label: employment type} + - {column: J, row: 2107, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2109 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2109, expected_value: S92000003, label: geography} + - {column: D, row: 2109, expected_value: Females, label: sex} + - {column: E, row: 2109, expected_value: Total, label: employment type} + - {column: J, row: 2109, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2111 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2111, expected_value: S92000003, label: geography} + - {column: D, row: 2111, expected_value: Females, label: sex} + - {column: E, row: 2111, expected_value: Total, label: employment type} + - {column: J, row: 2111, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2113 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2113, expected_value: S92000003, label: geography} + - {column: D, row: 2113, expected_value: Females, label: sex} + - {column: E, row: 2113, expected_value: Total, label: employment type} + - {column: J, row: 2113, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2115 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2115, expected_value: S92000003, label: geography} + - {column: D, row: 2115, expected_value: Females, label: sex} + - {column: E, row: 2115, expected_value: Total, label: employment type} + - {column: J, row: 2115, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2117 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2117, expected_value: S92000003, label: geography} + - {column: D, row: 2117, expected_value: Females, label: sex} + - {column: E, row: 2117, expected_value: Total, label: employment type} + - {column: J, row: 2117, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2119 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2119, expected_value: S92000003, label: geography} + - {column: D, row: 2119, expected_value: Females, label: sex} + - {column: E, row: 2119, expected_value: Total, label: employment type} + - {column: J, row: 2119, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2121 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2121, expected_value: S92000003, label: geography} + - {column: D, row: 2121, expected_value: Females, label: sex} + - {column: E, row: 2121, expected_value: Total, label: employment type} + - {column: J, row: 2121, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2123 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2123, expected_value: S92000003, label: geography} + - {column: D, row: 2123, expected_value: Females, label: sex} + - {column: E, row: 2123, expected_value: Total, label: employment type} + - {column: J, row: 2123, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2125 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2125, expected_value: S92000003, label: geography} + - {column: D, row: 2125, expected_value: Females, label: sex} + - {column: E, row: 2125, expected_value: Total, label: employment type} + - {column: J, row: 2125, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2127 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2127, expected_value: S92000003, label: geography} + - {column: D, row: 2127, expected_value: Females, label: sex} + - {column: E, row: 2127, expected_value: Total, label: employment type} + - {column: J, row: 2127, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2129 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2129, expected_value: S92000003, label: geography} + - {column: D, row: 2129, expected_value: Females, label: sex} + - {column: E, row: 2129, expected_value: Total, label: employment type} + - {column: J, row: 2129, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2131 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2131, expected_value: S92000003, label: geography} + - {column: D, row: 2131, expected_value: Females, label: sex} + - {column: E, row: 2131, expected_value: Total, label: employment type} + - {column: J, row: 2131, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2135 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2135, expected_value: S92000003, label: geography} + - {column: D, row: 2135, expected_value: Females, label: sex} + - {column: E, row: 2135, expected_value: Total, label: employment type} + - {column: J, row: 2135, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2137 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2137, expected_value: S92000003, label: geography} + - {column: D, row: 2137, expected_value: Females, label: sex} + - {column: E, row: 2137, expected_value: Total, label: employment type} + - {column: J, row: 2137, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2139 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2139, expected_value: S92000003, label: geography} + - {column: D, row: 2139, expected_value: Females, label: sex} + - {column: E, row: 2139, expected_value: Total, label: employment type} + - {column: J, row: 2139, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2141 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2141, expected_value: S92000003, label: geography} + - {column: D, row: 2141, expected_value: Females, label: sex} + - {column: E, row: 2141, expected_value: Total, label: employment type} + - {column: J, row: 2141, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2145 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2145, expected_value: S92000003, label: geography} + - {column: D, row: 2145, expected_value: Females, label: sex} + - {column: E, row: 2145, expected_value: Total, label: employment type} + - {column: J, row: 2145, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2147 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2147, expected_value: S92000003, label: geography} + - {column: D, row: 2147, expected_value: Females, label: sex} + - {column: E, row: 2147, expected_value: Total, label: employment type} + - {column: J, row: 2147, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2149 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2149, expected_value: S92000003, label: geography} + - {column: D, row: 2149, expected_value: Females, label: sex} + - {column: E, row: 2149, expected_value: Total, label: employment type} + - {column: J, row: 2149, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2151 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2151, expected_value: S92000003, label: geography} + - {column: D, row: 2151, expected_value: Females, label: sex} + - {column: E, row: 2151, expected_value: Total, label: employment type} + - {column: J, row: 2151, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2153 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2153, expected_value: S92000003, label: geography} + - {column: D, row: 2153, expected_value: Females, label: sex} + - {column: E, row: 2153, expected_value: Total, label: employment type} + - {column: J, row: 2153, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2155 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2155, expected_value: S92000003, label: geography} + - {column: D, row: 2155, expected_value: Females, label: sex} + - {column: E, row: 2155, expected_value: Total, label: employment type} + - {column: J, row: 2155, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2157 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2157, expected_value: S92000003, label: geography} + - {column: D, row: 2157, expected_value: Females, label: sex} + - {column: E, row: 2157, expected_value: Total, label: employment type} + - {column: J, row: 2157, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2159 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2159, expected_value: S92000003, label: geography} + - {column: D, row: 2159, expected_value: Females, label: sex} + - {column: E, row: 2159, expected_value: Total, label: employment type} + - {column: J, row: 2159, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2161 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2161, expected_value: S92000003, label: geography} + - {column: D, row: 2161, expected_value: Females, label: sex} + - {column: E, row: 2161, expected_value: Total, label: employment type} + - {column: J, row: 2161, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2306 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2306, expected_value: S92000003, label: geography} + - {column: D, row: 2306, expected_value: Females, label: sex} + - {column: E, row: 2306, expected_value: Employee, label: employment type} + - {column: J, row: 2306, expected_value: Value, label: measure} + - {column: L, row: 2307, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2308 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2308, expected_value: S92000003, label: geography} + - {column: D, row: 2308, expected_value: Females, label: sex} + - {column: E, row: 2308, expected_value: Employee, label: employment type} + - {column: J, row: 2308, expected_value: Value, label: measure} + - {column: L, row: 2309, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2310 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2310, expected_value: S92000003, label: geography} + - {column: D, row: 2310, expected_value: Females, label: sex} + - {column: E, row: 2310, expected_value: Employee, label: employment type} + - {column: J, row: 2310, expected_value: Value, label: measure} + - {column: L, row: 2311, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2312 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2312, expected_value: S92000003, label: geography} + - {column: D, row: 2312, expected_value: Females, label: sex} + - {column: E, row: 2312, expected_value: Employee, label: employment type} + - {column: J, row: 2312, expected_value: Value, label: measure} + - {column: L, row: 2313, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2314 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2314, expected_value: S92000003, label: geography} + - {column: D, row: 2314, expected_value: Females, label: sex} + - {column: E, row: 2314, expected_value: Employee, label: employment type} + - {column: J, row: 2314, expected_value: Value, label: measure} + - {column: L, row: 2315, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2316 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2316, expected_value: S92000003, label: geography} + - {column: D, row: 2316, expected_value: Females, label: sex} + - {column: E, row: 2316, expected_value: Employee, label: employment type} + - {column: J, row: 2316, expected_value: Value, label: measure} + - {column: L, row: 2317, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2318 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2318, expected_value: S92000003, label: geography} + - {column: D, row: 2318, expected_value: Females, label: sex} + - {column: E, row: 2318, expected_value: Employee, label: employment type} + - {column: J, row: 2318, expected_value: Value, label: measure} + - {column: L, row: 2319, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2320 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2320, expected_value: S92000003, label: geography} + - {column: D, row: 2320, expected_value: Females, label: sex} + - {column: E, row: 2320, expected_value: Employee, label: employment type} + - {column: J, row: 2320, expected_value: Value, label: measure} + - {column: L, row: 2321, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2322 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2322, expected_value: S92000003, label: geography} + - {column: D, row: 2322, expected_value: Females, label: sex} + - {column: E, row: 2322, expected_value: Employee, label: employment type} + - {column: J, row: 2322, expected_value: Value, label: measure} + - {column: L, row: 2323, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2324 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2324, expected_value: S92000003, label: geography} + - {column: D, row: 2324, expected_value: Females, label: sex} + - {column: E, row: 2324, expected_value: Employee, label: employment type} + - {column: J, row: 2324, expected_value: Value, label: measure} + - {column: L, row: 2325, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2326 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2326, expected_value: S92000003, label: geography} + - {column: D, row: 2326, expected_value: Females, label: sex} + - {column: E, row: 2326, expected_value: Employee, label: employment type} + - {column: J, row: 2326, expected_value: Value, label: measure} + - {column: L, row: 2327, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2328 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2328, expected_value: S92000003, label: geography} + - {column: D, row: 2328, expected_value: Females, label: sex} + - {column: E, row: 2328, expected_value: Employee, label: employment type} + - {column: J, row: 2328, expected_value: Value, label: measure} + - {column: L, row: 2329, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2330 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2330, expected_value: S92000003, label: geography} + - {column: D, row: 2330, expected_value: Females, label: sex} + - {column: E, row: 2330, expected_value: Employee, label: employment type} + - {column: J, row: 2330, expected_value: Value, label: measure} + - {column: L, row: 2331, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2332 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2332, expected_value: S92000003, label: geography} + - {column: D, row: 2332, expected_value: Females, label: sex} + - {column: E, row: 2332, expected_value: Employee, label: employment type} + - {column: J, row: 2332, expected_value: Value, label: measure} + - {column: L, row: 2333, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2334 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2334, expected_value: S92000003, label: geography} + - {column: D, row: 2334, expected_value: Females, label: sex} + - {column: E, row: 2334, expected_value: Employee, label: employment type} + - {column: J, row: 2334, expected_value: Value, label: measure} + - {column: L, row: 2335, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2336 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2336, expected_value: S92000003, label: geography} + - {column: D, row: 2336, expected_value: Females, label: sex} + - {column: E, row: 2336, expected_value: Employee, label: employment type} + - {column: J, row: 2336, expected_value: Value, label: measure} + - {column: L, row: 2337, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2338 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2338, expected_value: S92000003, label: geography} + - {column: D, row: 2338, expected_value: Females, label: sex} + - {column: E, row: 2338, expected_value: Employee, label: employment type} + - {column: J, row: 2338, expected_value: Value, label: measure} + - {column: L, row: 2339, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2340 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2340, expected_value: S92000003, label: geography} + - {column: D, row: 2340, expected_value: Females, label: sex} + - {column: E, row: 2340, expected_value: Employee, label: employment type} + - {column: J, row: 2340, expected_value: Value, label: measure} + - {column: L, row: 2341, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2342 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2342, expected_value: S92000003, label: geography} + - {column: D, row: 2342, expected_value: Females, label: sex} + - {column: E, row: 2342, expected_value: Employee, label: employment type} + - {column: J, row: 2342, expected_value: Value, label: measure} + - {column: L, row: 2343, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2344 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2344, expected_value: S92000003, label: geography} + - {column: D, row: 2344, expected_value: Females, label: sex} + - {column: E, row: 2344, expected_value: Employee, label: employment type} + - {column: J, row: 2344, expected_value: Value, label: measure} + - {column: L, row: 2345, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2346 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2346, expected_value: S92000003, label: geography} + - {column: D, row: 2346, expected_value: Females, label: sex} + - {column: E, row: 2346, expected_value: Employee, label: employment type} + - {column: J, row: 2346, expected_value: Value, label: measure} + - {column: L, row: 2347, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2348 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2348, expected_value: S92000003, label: geography} + - {column: D, row: 2348, expected_value: Females, label: sex} + - {column: E, row: 2348, expected_value: Employee, label: employment type} + - {column: J, row: 2348, expected_value: Value, label: measure} + - {column: L, row: 2349, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2350 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2350, expected_value: S92000003, label: geography} + - {column: D, row: 2350, expected_value: Females, label: sex} + - {column: E, row: 2350, expected_value: Employee, label: employment type} + - {column: J, row: 2350, expected_value: Value, label: measure} + - {column: L, row: 2351, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2352 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2352, expected_value: S92000003, label: geography} + - {column: D, row: 2352, expected_value: Females, label: sex} + - {column: E, row: 2352, expected_value: Employee, label: employment type} + - {column: J, row: 2352, expected_value: Value, label: measure} + - {column: L, row: 2353, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2354 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2354, expected_value: S92000003, label: geography} + - {column: D, row: 2354, expected_value: Females, label: sex} + - {column: E, row: 2354, expected_value: Employee, label: employment type} + - {column: J, row: 2354, expected_value: Value, label: measure} + - {column: L, row: 2355, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2356 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2356, expected_value: S92000003, label: geography} + - {column: D, row: 2356, expected_value: Females, label: sex} + - {column: E, row: 2356, expected_value: Employee, label: employment type} + - {column: J, row: 2356, expected_value: Value, label: measure} + - {column: L, row: 2357, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2360 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2360, expected_value: S92000003, label: geography} + - {column: D, row: 2360, expected_value: Females, label: sex} + - {column: E, row: 2360, expected_value: Employee, label: employment type} + - {column: J, row: 2360, expected_value: Value, label: measure} + - {column: L, row: 2361, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2362 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2362, expected_value: S92000003, label: geography} + - {column: D, row: 2362, expected_value: Females, label: sex} + - {column: E, row: 2362, expected_value: Employee, label: employment type} + - {column: J, row: 2362, expected_value: Value, label: measure} + - {column: L, row: 2363, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2364 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2364, expected_value: S92000003, label: geography} + - {column: D, row: 2364, expected_value: Females, label: sex} + - {column: E, row: 2364, expected_value: Employee, label: employment type} + - {column: J, row: 2364, expected_value: Value, label: measure} + - {column: L, row: 2365, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2366 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2366, expected_value: S92000003, label: geography} + - {column: D, row: 2366, expected_value: Females, label: sex} + - {column: E, row: 2366, expected_value: Employee, label: employment type} + - {column: J, row: 2366, expected_value: Value, label: measure} + - {column: L, row: 2367, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2368 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2368, expected_value: S92000003, label: geography} + - {column: D, row: 2368, expected_value: Females, label: sex} + - {column: E, row: 2368, expected_value: Employee, label: employment type} + - {column: J, row: 2368, expected_value: Value, label: measure} + - {column: L, row: 2369, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2370 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2370, expected_value: S92000003, label: geography} + - {column: D, row: 2370, expected_value: Females, label: sex} + - {column: E, row: 2370, expected_value: Employee, label: employment type} + - {column: J, row: 2370, expected_value: Value, label: measure} + - {column: L, row: 2371, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2372 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2372, expected_value: S92000003, label: geography} + - {column: D, row: 2372, expected_value: Females, label: sex} + - {column: E, row: 2372, expected_value: Employee, label: employment type} + - {column: J, row: 2372, expected_value: Value, label: measure} + - {column: L, row: 2373, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2374 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2374, expected_value: S92000003, label: geography} + - {column: D, row: 2374, expected_value: Females, label: sex} + - {column: E, row: 2374, expected_value: Employee, label: employment type} + - {column: J, row: 2374, expected_value: Value, label: measure} + - {column: L, row: 2375, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2376 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2376, expected_value: S92000003, label: geography} + - {column: D, row: 2376, expected_value: Females, label: sex} + - {column: E, row: 2376, expected_value: Employee, label: employment type} + - {column: J, row: 2376, expected_value: Value, label: measure} + - {column: L, row: 2377, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2307 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2307, expected_value: S92000003, label: geography} + - {column: D, row: 2307, expected_value: Females, label: sex} + - {column: E, row: 2307, expected_value: Employee, label: employment type} + - {column: J, row: 2307, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2309 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2309, expected_value: S92000003, label: geography} + - {column: D, row: 2309, expected_value: Females, label: sex} + - {column: E, row: 2309, expected_value: Employee, label: employment type} + - {column: J, row: 2309, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2311 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2311, expected_value: S92000003, label: geography} + - {column: D, row: 2311, expected_value: Females, label: sex} + - {column: E, row: 2311, expected_value: Employee, label: employment type} + - {column: J, row: 2311, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2313 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2313, expected_value: S92000003, label: geography} + - {column: D, row: 2313, expected_value: Females, label: sex} + - {column: E, row: 2313, expected_value: Employee, label: employment type} + - {column: J, row: 2313, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2315 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2315, expected_value: S92000003, label: geography} + - {column: D, row: 2315, expected_value: Females, label: sex} + - {column: E, row: 2315, expected_value: Employee, label: employment type} + - {column: J, row: 2315, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2317 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2317, expected_value: S92000003, label: geography} + - {column: D, row: 2317, expected_value: Females, label: sex} + - {column: E, row: 2317, expected_value: Employee, label: employment type} + - {column: J, row: 2317, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2319 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2319, expected_value: S92000003, label: geography} + - {column: D, row: 2319, expected_value: Females, label: sex} + - {column: E, row: 2319, expected_value: Employee, label: employment type} + - {column: J, row: 2319, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2321 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2321, expected_value: S92000003, label: geography} + - {column: D, row: 2321, expected_value: Females, label: sex} + - {column: E, row: 2321, expected_value: Employee, label: employment type} + - {column: J, row: 2321, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2323 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2323, expected_value: S92000003, label: geography} + - {column: D, row: 2323, expected_value: Females, label: sex} + - {column: E, row: 2323, expected_value: Employee, label: employment type} + - {column: J, row: 2323, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2325 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2325, expected_value: S92000003, label: geography} + - {column: D, row: 2325, expected_value: Females, label: sex} + - {column: E, row: 2325, expected_value: Employee, label: employment type} + - {column: J, row: 2325, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2327 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2327, expected_value: S92000003, label: geography} + - {column: D, row: 2327, expected_value: Females, label: sex} + - {column: E, row: 2327, expected_value: Employee, label: employment type} + - {column: J, row: 2327, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2329 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2329, expected_value: S92000003, label: geography} + - {column: D, row: 2329, expected_value: Females, label: sex} + - {column: E, row: 2329, expected_value: Employee, label: employment type} + - {column: J, row: 2329, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2331 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2331, expected_value: S92000003, label: geography} + - {column: D, row: 2331, expected_value: Females, label: sex} + - {column: E, row: 2331, expected_value: Employee, label: employment type} + - {column: J, row: 2331, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2333 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2333, expected_value: S92000003, label: geography} + - {column: D, row: 2333, expected_value: Females, label: sex} + - {column: E, row: 2333, expected_value: Employee, label: employment type} + - {column: J, row: 2333, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2335 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2335, expected_value: S92000003, label: geography} + - {column: D, row: 2335, expected_value: Females, label: sex} + - {column: E, row: 2335, expected_value: Employee, label: employment type} + - {column: J, row: 2335, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2337 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2337, expected_value: S92000003, label: geography} + - {column: D, row: 2337, expected_value: Females, label: sex} + - {column: E, row: 2337, expected_value: Employee, label: employment type} + - {column: J, row: 2337, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2339 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2339, expected_value: S92000003, label: geography} + - {column: D, row: 2339, expected_value: Females, label: sex} + - {column: E, row: 2339, expected_value: Employee, label: employment type} + - {column: J, row: 2339, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2341 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2341, expected_value: S92000003, label: geography} + - {column: D, row: 2341, expected_value: Females, label: sex} + - {column: E, row: 2341, expected_value: Employee, label: employment type} + - {column: J, row: 2341, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2343 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2343, expected_value: S92000003, label: geography} + - {column: D, row: 2343, expected_value: Females, label: sex} + - {column: E, row: 2343, expected_value: Employee, label: employment type} + - {column: J, row: 2343, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2347 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2347, expected_value: S92000003, label: geography} + - {column: D, row: 2347, expected_value: Females, label: sex} + - {column: E, row: 2347, expected_value: Employee, label: employment type} + - {column: J, row: 2347, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2351 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2351, expected_value: S92000003, label: geography} + - {column: D, row: 2351, expected_value: Females, label: sex} + - {column: E, row: 2351, expected_value: Employee, label: employment type} + - {column: J, row: 2351, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2353 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2353, expected_value: S92000003, label: geography} + - {column: D, row: 2353, expected_value: Females, label: sex} + - {column: E, row: 2353, expected_value: Employee, label: employment type} + - {column: J, row: 2353, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2355 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2355, expected_value: S92000003, label: geography} + - {column: D, row: 2355, expected_value: Females, label: sex} + - {column: E, row: 2355, expected_value: Employee, label: employment type} + - {column: J, row: 2355, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2357 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2357, expected_value: S92000003, label: geography} + - {column: D, row: 2357, expected_value: Females, label: sex} + - {column: E, row: 2357, expected_value: Employee, label: employment type} + - {column: J, row: 2357, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2361 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2361, expected_value: S92000003, label: geography} + - {column: D, row: 2361, expected_value: Females, label: sex} + - {column: E, row: 2361, expected_value: Employee, label: employment type} + - {column: J, row: 2361, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2363 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2363, expected_value: S92000003, label: geography} + - {column: D, row: 2363, expected_value: Females, label: sex} + - {column: E, row: 2363, expected_value: Employee, label: employment type} + - {column: J, row: 2363, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2365 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2365, expected_value: S92000003, label: geography} + - {column: D, row: 2365, expected_value: Females, label: sex} + - {column: E, row: 2365, expected_value: Employee, label: employment type} + - {column: J, row: 2365, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2367 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2367, expected_value: S92000003, label: geography} + - {column: D, row: 2367, expected_value: Females, label: sex} + - {column: E, row: 2367, expected_value: Employee, label: employment type} + - {column: J, row: 2367, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2369 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2369, expected_value: S92000003, label: geography} + - {column: D, row: 2369, expected_value: Females, label: sex} + - {column: E, row: 2369, expected_value: Employee, label: employment type} + - {column: J, row: 2369, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2371 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2371, expected_value: S92000003, label: geography} + - {column: D, row: 2371, expected_value: Females, label: sex} + - {column: E, row: 2371, expected_value: Employee, label: employment type} + - {column: J, row: 2371, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2373 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2373, expected_value: S92000003, label: geography} + - {column: D, row: 2373, expected_value: Females, label: sex} + - {column: E, row: 2373, expected_value: Employee, label: employment type} + - {column: J, row: 2373, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2377 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2377, expected_value: S92000003, label: geography} + - {column: D, row: 2377, expected_value: Females, label: sex} + - {column: E, row: 2377, expected_value: Employee, label: employment type} + - {column: J, row: 2377, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2522 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2522, expected_value: S92000003, label: geography} + - {column: D, row: 2522, expected_value: Females, label: sex} + - {column: E, row: 2522, expected_value: Self-employed, label: employment type} + - {column: J, row: 2522, expected_value: Value, label: measure} + - {column: L, row: 2523, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2524 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2524, expected_value: S92000003, label: geography} + - {column: D, row: 2524, expected_value: Females, label: sex} + - {column: E, row: 2524, expected_value: Self-employed, label: employment type} + - {column: J, row: 2524, expected_value: Value, label: measure} + - {column: L, row: 2525, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2526 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2526, expected_value: S92000003, label: geography} + - {column: D, row: 2526, expected_value: Females, label: sex} + - {column: E, row: 2526, expected_value: Self-employed, label: employment type} + - {column: J, row: 2526, expected_value: Value, label: measure} + - {column: L, row: 2527, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2528 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2528, expected_value: S92000003, label: geography} + - {column: D, row: 2528, expected_value: Females, label: sex} + - {column: E, row: 2528, expected_value: Self-employed, label: employment type} + - {column: J, row: 2528, expected_value: Value, label: measure} + - {column: L, row: 2529, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2530 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2530, expected_value: S92000003, label: geography} + - {column: D, row: 2530, expected_value: Females, label: sex} + - {column: E, row: 2530, expected_value: Self-employed, label: employment type} + - {column: J, row: 2530, expected_value: Value, label: measure} + - {column: L, row: 2531, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2532 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2532, expected_value: S92000003, label: geography} + - {column: D, row: 2532, expected_value: Females, label: sex} + - {column: E, row: 2532, expected_value: Self-employed, label: employment type} + - {column: J, row: 2532, expected_value: Value, label: measure} + - {column: L, row: 2533, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2534 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2534, expected_value: S92000003, label: geography} + - {column: D, row: 2534, expected_value: Females, label: sex} + - {column: E, row: 2534, expected_value: Self-employed, label: employment type} + - {column: J, row: 2534, expected_value: Value, label: measure} + - {column: L, row: 2535, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2536 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2536, expected_value: S92000003, label: geography} + - {column: D, row: 2536, expected_value: Females, label: sex} + - {column: E, row: 2536, expected_value: Self-employed, label: employment type} + - {column: J, row: 2536, expected_value: Value, label: measure} + - {column: L, row: 2537, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2538 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2538, expected_value: S92000003, label: geography} + - {column: D, row: 2538, expected_value: Females, label: sex} + - {column: E, row: 2538, expected_value: Self-employed, label: employment type} + - {column: J, row: 2538, expected_value: Value, label: measure} + - {column: L, row: 2539, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2540 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2540, expected_value: S92000003, label: geography} + - {column: D, row: 2540, expected_value: Females, label: sex} + - {column: E, row: 2540, expected_value: Self-employed, label: employment type} + - {column: J, row: 2540, expected_value: Value, label: measure} + - {column: L, row: 2541, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2542 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2542, expected_value: S92000003, label: geography} + - {column: D, row: 2542, expected_value: Females, label: sex} + - {column: E, row: 2542, expected_value: Self-employed, label: employment type} + - {column: J, row: 2542, expected_value: Value, label: measure} + - {column: L, row: 2543, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2544 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2544, expected_value: S92000003, label: geography} + - {column: D, row: 2544, expected_value: Females, label: sex} + - {column: E, row: 2544, expected_value: Self-employed, label: employment type} + - {column: J, row: 2544, expected_value: Value, label: measure} + - {column: L, row: 2545, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2548 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2548, expected_value: S92000003, label: geography} + - {column: D, row: 2548, expected_value: Females, label: sex} + - {column: E, row: 2548, expected_value: Self-employed, label: employment type} + - {column: J, row: 2548, expected_value: Value, label: measure} + - {column: L, row: 2549, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2550 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2550, expected_value: S92000003, label: geography} + - {column: D, row: 2550, expected_value: Females, label: sex} + - {column: E, row: 2550, expected_value: Self-employed, label: employment type} + - {column: J, row: 2550, expected_value: Value, label: measure} + - {column: L, row: 2551, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2552 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2552, expected_value: S92000003, label: geography} + - {column: D, row: 2552, expected_value: Females, label: sex} + - {column: E, row: 2552, expected_value: Self-employed, label: employment type} + - {column: J, row: 2552, expected_value: Value, label: measure} + - {column: L, row: 2553, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2554 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2554, expected_value: S92000003, label: geography} + - {column: D, row: 2554, expected_value: Females, label: sex} + - {column: E, row: 2554, expected_value: Self-employed, label: employment type} + - {column: J, row: 2554, expected_value: Value, label: measure} + - {column: L, row: 2555, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2556 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2556, expected_value: S92000003, label: geography} + - {column: D, row: 2556, expected_value: Females, label: sex} + - {column: E, row: 2556, expected_value: Self-employed, label: employment type} + - {column: J, row: 2556, expected_value: Value, label: measure} + - {column: L, row: 2557, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2558 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2558, expected_value: S92000003, label: geography} + - {column: D, row: 2558, expected_value: Females, label: sex} + - {column: E, row: 2558, expected_value: Self-employed, label: employment type} + - {column: J, row: 2558, expected_value: Value, label: measure} + - {column: L, row: 2559, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2560 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2560, expected_value: S92000003, label: geography} + - {column: D, row: 2560, expected_value: Females, label: sex} + - {column: E, row: 2560, expected_value: Self-employed, label: employment type} + - {column: J, row: 2560, expected_value: Value, label: measure} + - {column: L, row: 2561, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2564 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2564, expected_value: S92000003, label: geography} + - {column: D, row: 2564, expected_value: Females, label: sex} + - {column: E, row: 2564, expected_value: Self-employed, label: employment type} + - {column: J, row: 2564, expected_value: Value, label: measure} + - {column: L, row: 2565, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2566 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2566, expected_value: S92000003, label: geography} + - {column: D, row: 2566, expected_value: Females, label: sex} + - {column: E, row: 2566, expected_value: Self-employed, label: employment type} + - {column: J, row: 2566, expected_value: Value, label: measure} + - {column: L, row: 2567, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2568 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2568, expected_value: S92000003, label: geography} + - {column: D, row: 2568, expected_value: Females, label: sex} + - {column: E, row: 2568, expected_value: Self-employed, label: employment type} + - {column: J, row: 2568, expected_value: Value, label: measure} + - {column: L, row: 2569, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2570 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2570, expected_value: S92000003, label: geography} + - {column: D, row: 2570, expected_value: Females, label: sex} + - {column: E, row: 2570, expected_value: Self-employed, label: employment type} + - {column: J, row: 2570, expected_value: Value, label: measure} + - {column: L, row: 2571, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2572 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2572, expected_value: S92000003, label: geography} + - {column: D, row: 2572, expected_value: Females, label: sex} + - {column: E, row: 2572, expected_value: Self-employed, label: employment type} + - {column: J, row: 2572, expected_value: Value, label: measure} + - {column: L, row: 2573, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2576 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2576, expected_value: S92000003, label: geography} + - {column: D, row: 2576, expected_value: Females, label: sex} + - {column: E, row: 2576, expected_value: Self-employed, label: employment type} + - {column: J, row: 2576, expected_value: Value, label: measure} + - {column: L, row: 2577, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2578 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2578, expected_value: S92000003, label: geography} + - {column: D, row: 2578, expected_value: Females, label: sex} + - {column: E, row: 2578, expected_value: Self-employed, label: employment type} + - {column: J, row: 2578, expected_value: Value, label: measure} + - {column: L, row: 2579, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2582 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2582, expected_value: S92000003, label: geography} + - {column: D, row: 2582, expected_value: Females, label: sex} + - {column: E, row: 2582, expected_value: Self-employed, label: employment type} + - {column: J, row: 2582, expected_value: Value, label: measure} + - {column: L, row: 2583, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2584 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2584, expected_value: S92000003, label: geography} + - {column: D, row: 2584, expected_value: Females, label: sex} + - {column: E, row: 2584, expected_value: Self-employed, label: employment type} + - {column: J, row: 2584, expected_value: Value, label: measure} + - {column: L, row: 2585, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2586 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2586, expected_value: S92000003, label: geography} + - {column: D, row: 2586, expected_value: Females, label: sex} + - {column: E, row: 2586, expected_value: Self-employed, label: employment type} + - {column: J, row: 2586, expected_value: Value, label: measure} + - {column: L, row: 2587, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2588 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2588, expected_value: S92000003, label: geography} + - {column: D, row: 2588, expected_value: Females, label: sex} + - {column: E, row: 2588, expected_value: Self-employed, label: employment type} + - {column: J, row: 2588, expected_value: Value, label: measure} + - {column: L, row: 2589, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2590 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2590, expected_value: S92000003, label: geography} + - {column: D, row: 2590, expected_value: Females, label: sex} + - {column: E, row: 2590, expected_value: Self-employed, label: employment type} + - {column: J, row: 2590, expected_value: Value, label: measure} + - {column: L, row: 2591, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2592 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2592, expected_value: S92000003, label: geography} + - {column: D, row: 2592, expected_value: Females, label: sex} + - {column: E, row: 2592, expected_value: Self-employed, label: employment type} + - {column: J, row: 2592, expected_value: Value, label: measure} + - {column: L, row: 2593, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.s92000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2523 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2523, expected_value: S92000003, label: geography} + - {column: D, row: 2523, expected_value: Females, label: sex} + - {column: E, row: 2523, expected_value: Self-employed, label: employment type} + - {column: J, row: 2523, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2525 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2525, expected_value: S92000003, label: geography} + - {column: D, row: 2525, expected_value: Females, label: sex} + - {column: E, row: 2525, expected_value: Self-employed, label: employment type} + - {column: J, row: 2525, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2527 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2527, expected_value: S92000003, label: geography} + - {column: D, row: 2527, expected_value: Females, label: sex} + - {column: E, row: 2527, expected_value: Self-employed, label: employment type} + - {column: J, row: 2527, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2529 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2529, expected_value: S92000003, label: geography} + - {column: D, row: 2529, expected_value: Females, label: sex} + - {column: E, row: 2529, expected_value: Self-employed, label: employment type} + - {column: J, row: 2529, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2531 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2531, expected_value: S92000003, label: geography} + - {column: D, row: 2531, expected_value: Females, label: sex} + - {column: E, row: 2531, expected_value: Self-employed, label: employment type} + - {column: J, row: 2531, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2535 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2535, expected_value: S92000003, label: geography} + - {column: D, row: 2535, expected_value: Females, label: sex} + - {column: E, row: 2535, expected_value: Self-employed, label: employment type} + - {column: J, row: 2535, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2539 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2539, expected_value: S92000003, label: geography} + - {column: D, row: 2539, expected_value: Females, label: sex} + - {column: E, row: 2539, expected_value: Self-employed, label: employment type} + - {column: J, row: 2539, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2541 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2541, expected_value: S92000003, label: geography} + - {column: D, row: 2541, expected_value: Females, label: sex} + - {column: E, row: 2541, expected_value: Self-employed, label: employment type} + - {column: J, row: 2541, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2545 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2545, expected_value: S92000003, label: geography} + - {column: D, row: 2545, expected_value: Females, label: sex} + - {column: E, row: 2545, expected_value: Self-employed, label: employment type} + - {column: J, row: 2545, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2549 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2549, expected_value: S92000003, label: geography} + - {column: D, row: 2549, expected_value: Females, label: sex} + - {column: E, row: 2549, expected_value: Self-employed, label: employment type} + - {column: J, row: 2549, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2551 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2551, expected_value: S92000003, label: geography} + - {column: D, row: 2551, expected_value: Females, label: sex} + - {column: E, row: 2551, expected_value: Self-employed, label: employment type} + - {column: J, row: 2551, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2553 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2553, expected_value: S92000003, label: geography} + - {column: D, row: 2553, expected_value: Females, label: sex} + - {column: E, row: 2553, expected_value: Self-employed, label: employment type} + - {column: J, row: 2553, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2555 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2555, expected_value: S92000003, label: geography} + - {column: D, row: 2555, expected_value: Females, label: sex} + - {column: E, row: 2555, expected_value: Self-employed, label: employment type} + - {column: J, row: 2555, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2559 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2559, expected_value: S92000003, label: geography} + - {column: D, row: 2559, expected_value: Females, label: sex} + - {column: E, row: 2559, expected_value: Self-employed, label: employment type} + - {column: J, row: 2559, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2561 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2561, expected_value: S92000003, label: geography} + - {column: D, row: 2561, expected_value: Females, label: sex} + - {column: E, row: 2561, expected_value: Self-employed, label: employment type} + - {column: J, row: 2561, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2567 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2567, expected_value: S92000003, label: geography} + - {column: D, row: 2567, expected_value: Females, label: sex} + - {column: E, row: 2567, expected_value: Self-employed, label: employment type} + - {column: J, row: 2567, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2569 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2569, expected_value: S92000003, label: geography} + - {column: D, row: 2569, expected_value: Females, label: sex} + - {column: E, row: 2569, expected_value: Self-employed, label: employment type} + - {column: J, row: 2569, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2571 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2571, expected_value: S92000003, label: geography} + - {column: D, row: 2571, expected_value: Females, label: sex} + - {column: E, row: 2571, expected_value: Self-employed, label: employment type} + - {column: J, row: 2571, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2573 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2573, expected_value: S92000003, label: geography} + - {column: D, row: 2573, expected_value: Females, label: sex} + - {column: E, row: 2573, expected_value: Self-employed, label: employment type} + - {column: J, row: 2573, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2577 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2577, expected_value: S92000003, label: geography} + - {column: D, row: 2577, expected_value: Females, label: sex} + - {column: E, row: 2577, expected_value: Self-employed, label: employment type} + - {column: J, row: 2577, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2579 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2579, expected_value: S92000003, label: geography} + - {column: D, row: 2579, expected_value: Females, label: sex} + - {column: E, row: 2579, expected_value: Self-employed, label: employment type} + - {column: J, row: 2579, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2583 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2583, expected_value: S92000003, label: geography} + - {column: D, row: 2583, expected_value: Females, label: sex} + - {column: E, row: 2583, expected_value: Self-employed, label: employment type} + - {column: J, row: 2583, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2587 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2587, expected_value: S92000003, label: geography} + - {column: D, row: 2587, expected_value: Females, label: sex} + - {column: E, row: 2587, expected_value: Self-employed, label: employment type} + - {column: J, row: 2587, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2589 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2589, expected_value: S92000003, label: geography} + - {column: D, row: 2589, expected_value: Females, label: sex} + - {column: E, row: 2589, expected_value: Self-employed, label: employment type} + - {column: J, row: 2589, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2593 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2593, expected_value: S92000003, label: geography} + - {column: D, row: 2593, expected_value: Females, label: sex} + - {column: E, row: 2593, expected_value: Self-employed, label: employment type} + - {column: J, row: 2593, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2594 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2594, expected_value: N92000002, label: geography} + - {column: D, row: 2594, expected_value: All persons, label: sex} + - {column: E, row: 2594, expected_value: Total, label: employment type} + - {column: J, row: 2594, expected_value: Value, label: measure} + - {column: L, row: 2595, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2596 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2596, expected_value: N92000002, label: geography} + - {column: D, row: 2596, expected_value: All persons, label: sex} + - {column: E, row: 2596, expected_value: Total, label: employment type} + - {column: J, row: 2596, expected_value: Value, label: measure} + - {column: L, row: 2597, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2598 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2598, expected_value: N92000002, label: geography} + - {column: D, row: 2598, expected_value: All persons, label: sex} + - {column: E, row: 2598, expected_value: Total, label: employment type} + - {column: J, row: 2598, expected_value: Value, label: measure} + - {column: L, row: 2599, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2600 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2600, expected_value: N92000002, label: geography} + - {column: D, row: 2600, expected_value: All persons, label: sex} + - {column: E, row: 2600, expected_value: Total, label: employment type} + - {column: J, row: 2600, expected_value: Value, label: measure} + - {column: L, row: 2601, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2602 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2602, expected_value: N92000002, label: geography} + - {column: D, row: 2602, expected_value: All persons, label: sex} + - {column: E, row: 2602, expected_value: Total, label: employment type} + - {column: J, row: 2602, expected_value: Value, label: measure} + - {column: L, row: 2603, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2604 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2604, expected_value: N92000002, label: geography} + - {column: D, row: 2604, expected_value: All persons, label: sex} + - {column: E, row: 2604, expected_value: Total, label: employment type} + - {column: J, row: 2604, expected_value: Value, label: measure} + - {column: L, row: 2605, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2606 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2606, expected_value: N92000002, label: geography} + - {column: D, row: 2606, expected_value: All persons, label: sex} + - {column: E, row: 2606, expected_value: Total, label: employment type} + - {column: J, row: 2606, expected_value: Value, label: measure} + - {column: L, row: 2607, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2608 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2608, expected_value: N92000002, label: geography} + - {column: D, row: 2608, expected_value: All persons, label: sex} + - {column: E, row: 2608, expected_value: Total, label: employment type} + - {column: J, row: 2608, expected_value: Value, label: measure} + - {column: L, row: 2609, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2610 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2610, expected_value: N92000002, label: geography} + - {column: D, row: 2610, expected_value: All persons, label: sex} + - {column: E, row: 2610, expected_value: Total, label: employment type} + - {column: J, row: 2610, expected_value: Value, label: measure} + - {column: L, row: 2611, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2612 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2612, expected_value: N92000002, label: geography} + - {column: D, row: 2612, expected_value: All persons, label: sex} + - {column: E, row: 2612, expected_value: Total, label: employment type} + - {column: J, row: 2612, expected_value: Value, label: measure} + - {column: L, row: 2613, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2614 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2614, expected_value: N92000002, label: geography} + - {column: D, row: 2614, expected_value: All persons, label: sex} + - {column: E, row: 2614, expected_value: Total, label: employment type} + - {column: J, row: 2614, expected_value: Value, label: measure} + - {column: L, row: 2615, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2616 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2616, expected_value: N92000002, label: geography} + - {column: D, row: 2616, expected_value: All persons, label: sex} + - {column: E, row: 2616, expected_value: Total, label: employment type} + - {column: J, row: 2616, expected_value: Value, label: measure} + - {column: L, row: 2617, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2618 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2618, expected_value: N92000002, label: geography} + - {column: D, row: 2618, expected_value: All persons, label: sex} + - {column: E, row: 2618, expected_value: Total, label: employment type} + - {column: J, row: 2618, expected_value: Value, label: measure} + - {column: L, row: 2619, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2620 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2620, expected_value: N92000002, label: geography} + - {column: D, row: 2620, expected_value: All persons, label: sex} + - {column: E, row: 2620, expected_value: Total, label: employment type} + - {column: J, row: 2620, expected_value: Value, label: measure} + - {column: L, row: 2621, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2622 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2622, expected_value: N92000002, label: geography} + - {column: D, row: 2622, expected_value: All persons, label: sex} + - {column: E, row: 2622, expected_value: Total, label: employment type} + - {column: J, row: 2622, expected_value: Value, label: measure} + - {column: L, row: 2623, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2624 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2624, expected_value: N92000002, label: geography} + - {column: D, row: 2624, expected_value: All persons, label: sex} + - {column: E, row: 2624, expected_value: Total, label: employment type} + - {column: J, row: 2624, expected_value: Value, label: measure} + - {column: L, row: 2625, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2626 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2626, expected_value: N92000002, label: geography} + - {column: D, row: 2626, expected_value: All persons, label: sex} + - {column: E, row: 2626, expected_value: Total, label: employment type} + - {column: J, row: 2626, expected_value: Value, label: measure} + - {column: L, row: 2627, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2628 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2628, expected_value: N92000002, label: geography} + - {column: D, row: 2628, expected_value: All persons, label: sex} + - {column: E, row: 2628, expected_value: Total, label: employment type} + - {column: J, row: 2628, expected_value: Value, label: measure} + - {column: L, row: 2629, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2630 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2630, expected_value: N92000002, label: geography} + - {column: D, row: 2630, expected_value: All persons, label: sex} + - {column: E, row: 2630, expected_value: Total, label: employment type} + - {column: J, row: 2630, expected_value: Value, label: measure} + - {column: L, row: 2631, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2632 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2632, expected_value: N92000002, label: geography} + - {column: D, row: 2632, expected_value: All persons, label: sex} + - {column: E, row: 2632, expected_value: Total, label: employment type} + - {column: J, row: 2632, expected_value: Value, label: measure} + - {column: L, row: 2633, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2634 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2634, expected_value: N92000002, label: geography} + - {column: D, row: 2634, expected_value: All persons, label: sex} + - {column: E, row: 2634, expected_value: Total, label: employment type} + - {column: J, row: 2634, expected_value: Value, label: measure} + - {column: L, row: 2635, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2636 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2636, expected_value: N92000002, label: geography} + - {column: D, row: 2636, expected_value: All persons, label: sex} + - {column: E, row: 2636, expected_value: Total, label: employment type} + - {column: J, row: 2636, expected_value: Value, label: measure} + - {column: L, row: 2637, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2638 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2638, expected_value: N92000002, label: geography} + - {column: D, row: 2638, expected_value: All persons, label: sex} + - {column: E, row: 2638, expected_value: Total, label: employment type} + - {column: J, row: 2638, expected_value: Value, label: measure} + - {column: L, row: 2639, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2640 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2640, expected_value: N92000002, label: geography} + - {column: D, row: 2640, expected_value: All persons, label: sex} + - {column: E, row: 2640, expected_value: Total, label: employment type} + - {column: J, row: 2640, expected_value: Value, label: measure} + - {column: L, row: 2641, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2642 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2642, expected_value: N92000002, label: geography} + - {column: D, row: 2642, expected_value: All persons, label: sex} + - {column: E, row: 2642, expected_value: Total, label: employment type} + - {column: J, row: 2642, expected_value: Value, label: measure} + - {column: L, row: 2643, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2644 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2644, expected_value: N92000002, label: geography} + - {column: D, row: 2644, expected_value: All persons, label: sex} + - {column: E, row: 2644, expected_value: Total, label: employment type} + - {column: J, row: 2644, expected_value: Value, label: measure} + - {column: L, row: 2645, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2646 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2646, expected_value: N92000002, label: geography} + - {column: D, row: 2646, expected_value: All persons, label: sex} + - {column: E, row: 2646, expected_value: Total, label: employment type} + - {column: J, row: 2646, expected_value: Value, label: measure} + - {column: L, row: 2647, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2648 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2648, expected_value: N92000002, label: geography} + - {column: D, row: 2648, expected_value: All persons, label: sex} + - {column: E, row: 2648, expected_value: Total, label: employment type} + - {column: J, row: 2648, expected_value: Value, label: measure} + - {column: L, row: 2649, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2650 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2650, expected_value: N92000002, label: geography} + - {column: D, row: 2650, expected_value: All persons, label: sex} + - {column: E, row: 2650, expected_value: Total, label: employment type} + - {column: J, row: 2650, expected_value: Value, label: measure} + - {column: L, row: 2651, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2652 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2652, expected_value: N92000002, label: geography} + - {column: D, row: 2652, expected_value: All persons, label: sex} + - {column: E, row: 2652, expected_value: Total, label: employment type} + - {column: J, row: 2652, expected_value: Value, label: measure} + - {column: L, row: 2653, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2654 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2654, expected_value: N92000002, label: geography} + - {column: D, row: 2654, expected_value: All persons, label: sex} + - {column: E, row: 2654, expected_value: Total, label: employment type} + - {column: J, row: 2654, expected_value: Value, label: measure} + - {column: L, row: 2655, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2656 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2656, expected_value: N92000002, label: geography} + - {column: D, row: 2656, expected_value: All persons, label: sex} + - {column: E, row: 2656, expected_value: Total, label: employment type} + - {column: J, row: 2656, expected_value: Value, label: measure} + - {column: L, row: 2657, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2658 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2658, expected_value: N92000002, label: geography} + - {column: D, row: 2658, expected_value: All persons, label: sex} + - {column: E, row: 2658, expected_value: Total, label: employment type} + - {column: J, row: 2658, expected_value: Value, label: measure} + - {column: L, row: 2659, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2660 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2660, expected_value: N92000002, label: geography} + - {column: D, row: 2660, expected_value: All persons, label: sex} + - {column: E, row: 2660, expected_value: Total, label: employment type} + - {column: J, row: 2660, expected_value: Value, label: measure} + - {column: L, row: 2661, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2662 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2662, expected_value: N92000002, label: geography} + - {column: D, row: 2662, expected_value: All persons, label: sex} + - {column: E, row: 2662, expected_value: Total, label: employment type} + - {column: J, row: 2662, expected_value: Value, label: measure} + - {column: L, row: 2663, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2664 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2664, expected_value: N92000002, label: geography} + - {column: D, row: 2664, expected_value: All persons, label: sex} + - {column: E, row: 2664, expected_value: Total, label: employment type} + - {column: J, row: 2664, expected_value: Value, label: measure} + - {column: L, row: 2665, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2595 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2595, expected_value: N92000002, label: geography} + - {column: D, row: 2595, expected_value: All persons, label: sex} + - {column: E, row: 2595, expected_value: Total, label: employment type} + - {column: J, row: 2595, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2597 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2597, expected_value: N92000002, label: geography} + - {column: D, row: 2597, expected_value: All persons, label: sex} + - {column: E, row: 2597, expected_value: Total, label: employment type} + - {column: J, row: 2597, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2599 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2599, expected_value: N92000002, label: geography} + - {column: D, row: 2599, expected_value: All persons, label: sex} + - {column: E, row: 2599, expected_value: Total, label: employment type} + - {column: J, row: 2599, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2601 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2601, expected_value: N92000002, label: geography} + - {column: D, row: 2601, expected_value: All persons, label: sex} + - {column: E, row: 2601, expected_value: Total, label: employment type} + - {column: J, row: 2601, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2603 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2603, expected_value: N92000002, label: geography} + - {column: D, row: 2603, expected_value: All persons, label: sex} + - {column: E, row: 2603, expected_value: Total, label: employment type} + - {column: J, row: 2603, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2605 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2605, expected_value: N92000002, label: geography} + - {column: D, row: 2605, expected_value: All persons, label: sex} + - {column: E, row: 2605, expected_value: Total, label: employment type} + - {column: J, row: 2605, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2607 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2607, expected_value: N92000002, label: geography} + - {column: D, row: 2607, expected_value: All persons, label: sex} + - {column: E, row: 2607, expected_value: Total, label: employment type} + - {column: J, row: 2607, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2609 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2609, expected_value: N92000002, label: geography} + - {column: D, row: 2609, expected_value: All persons, label: sex} + - {column: E, row: 2609, expected_value: Total, label: employment type} + - {column: J, row: 2609, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2611 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2611, expected_value: N92000002, label: geography} + - {column: D, row: 2611, expected_value: All persons, label: sex} + - {column: E, row: 2611, expected_value: Total, label: employment type} + - {column: J, row: 2611, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2613 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2613, expected_value: N92000002, label: geography} + - {column: D, row: 2613, expected_value: All persons, label: sex} + - {column: E, row: 2613, expected_value: Total, label: employment type} + - {column: J, row: 2613, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2615 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2615, expected_value: N92000002, label: geography} + - {column: D, row: 2615, expected_value: All persons, label: sex} + - {column: E, row: 2615, expected_value: Total, label: employment type} + - {column: J, row: 2615, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2617 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2617, expected_value: N92000002, label: geography} + - {column: D, row: 2617, expected_value: All persons, label: sex} + - {column: E, row: 2617, expected_value: Total, label: employment type} + - {column: J, row: 2617, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2619 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2619, expected_value: N92000002, label: geography} + - {column: D, row: 2619, expected_value: All persons, label: sex} + - {column: E, row: 2619, expected_value: Total, label: employment type} + - {column: J, row: 2619, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2621 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2621, expected_value: N92000002, label: geography} + - {column: D, row: 2621, expected_value: All persons, label: sex} + - {column: E, row: 2621, expected_value: Total, label: employment type} + - {column: J, row: 2621, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2623 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2623, expected_value: N92000002, label: geography} + - {column: D, row: 2623, expected_value: All persons, label: sex} + - {column: E, row: 2623, expected_value: Total, label: employment type} + - {column: J, row: 2623, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2625 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2625, expected_value: N92000002, label: geography} + - {column: D, row: 2625, expected_value: All persons, label: sex} + - {column: E, row: 2625, expected_value: Total, label: employment type} + - {column: J, row: 2625, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2627 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2627, expected_value: N92000002, label: geography} + - {column: D, row: 2627, expected_value: All persons, label: sex} + - {column: E, row: 2627, expected_value: Total, label: employment type} + - {column: J, row: 2627, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2629 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2629, expected_value: N92000002, label: geography} + - {column: D, row: 2629, expected_value: All persons, label: sex} + - {column: E, row: 2629, expected_value: Total, label: employment type} + - {column: J, row: 2629, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2631 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2631, expected_value: N92000002, label: geography} + - {column: D, row: 2631, expected_value: All persons, label: sex} + - {column: E, row: 2631, expected_value: Total, label: employment type} + - {column: J, row: 2631, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2633 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2633, expected_value: N92000002, label: geography} + - {column: D, row: 2633, expected_value: All persons, label: sex} + - {column: E, row: 2633, expected_value: Total, label: employment type} + - {column: J, row: 2633, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2635 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2635, expected_value: N92000002, label: geography} + - {column: D, row: 2635, expected_value: All persons, label: sex} + - {column: E, row: 2635, expected_value: Total, label: employment type} + - {column: J, row: 2635, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2637 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2637, expected_value: N92000002, label: geography} + - {column: D, row: 2637, expected_value: All persons, label: sex} + - {column: E, row: 2637, expected_value: Total, label: employment type} + - {column: J, row: 2637, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2639 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2639, expected_value: N92000002, label: geography} + - {column: D, row: 2639, expected_value: All persons, label: sex} + - {column: E, row: 2639, expected_value: Total, label: employment type} + - {column: J, row: 2639, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2641 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2641, expected_value: N92000002, label: geography} + - {column: D, row: 2641, expected_value: All persons, label: sex} + - {column: E, row: 2641, expected_value: Total, label: employment type} + - {column: J, row: 2641, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2643 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2643, expected_value: N92000002, label: geography} + - {column: D, row: 2643, expected_value: All persons, label: sex} + - {column: E, row: 2643, expected_value: Total, label: employment type} + - {column: J, row: 2643, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2645 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2645, expected_value: N92000002, label: geography} + - {column: D, row: 2645, expected_value: All persons, label: sex} + - {column: E, row: 2645, expected_value: Total, label: employment type} + - {column: J, row: 2645, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2649 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2649, expected_value: N92000002, label: geography} + - {column: D, row: 2649, expected_value: All persons, label: sex} + - {column: E, row: 2649, expected_value: Total, label: employment type} + - {column: J, row: 2649, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2651 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2651, expected_value: N92000002, label: geography} + - {column: D, row: 2651, expected_value: All persons, label: sex} + - {column: E, row: 2651, expected_value: Total, label: employment type} + - {column: J, row: 2651, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2653 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2653, expected_value: N92000002, label: geography} + - {column: D, row: 2653, expected_value: All persons, label: sex} + - {column: E, row: 2653, expected_value: Total, label: employment type} + - {column: J, row: 2653, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2655 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2655, expected_value: N92000002, label: geography} + - {column: D, row: 2655, expected_value: All persons, label: sex} + - {column: E, row: 2655, expected_value: Total, label: employment type} + - {column: J, row: 2655, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2657 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2657, expected_value: N92000002, label: geography} + - {column: D, row: 2657, expected_value: All persons, label: sex} + - {column: E, row: 2657, expected_value: Total, label: employment type} + - {column: J, row: 2657, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2659 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2659, expected_value: N92000002, label: geography} + - {column: D, row: 2659, expected_value: All persons, label: sex} + - {column: E, row: 2659, expected_value: Total, label: employment type} + - {column: J, row: 2659, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2661 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2661, expected_value: N92000002, label: geography} + - {column: D, row: 2661, expected_value: All persons, label: sex} + - {column: E, row: 2661, expected_value: Total, label: employment type} + - {column: J, row: 2661, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2663 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2663, expected_value: N92000002, label: geography} + - {column: D, row: 2663, expected_value: All persons, label: sex} + - {column: E, row: 2663, expected_value: Total, label: employment type} + - {column: J, row: 2663, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2665 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2665, expected_value: N92000002, label: geography} + - {column: D, row: 2665, expected_value: All persons, label: sex} + - {column: E, row: 2665, expected_value: Total, label: employment type} + - {column: J, row: 2665, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2810 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2810, expected_value: N92000002, label: geography} + - {column: D, row: 2810, expected_value: All persons, label: sex} + - {column: E, row: 2810, expected_value: Employee, label: employment type} + - {column: J, row: 2810, expected_value: Value, label: measure} + - {column: L, row: 2811, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2812 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2812, expected_value: N92000002, label: geography} + - {column: D, row: 2812, expected_value: All persons, label: sex} + - {column: E, row: 2812, expected_value: Employee, label: employment type} + - {column: J, row: 2812, expected_value: Value, label: measure} + - {column: L, row: 2813, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2814 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2814, expected_value: N92000002, label: geography} + - {column: D, row: 2814, expected_value: All persons, label: sex} + - {column: E, row: 2814, expected_value: Employee, label: employment type} + - {column: J, row: 2814, expected_value: Value, label: measure} + - {column: L, row: 2815, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2816 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2816, expected_value: N92000002, label: geography} + - {column: D, row: 2816, expected_value: All persons, label: sex} + - {column: E, row: 2816, expected_value: Employee, label: employment type} + - {column: J, row: 2816, expected_value: Value, label: measure} + - {column: L, row: 2817, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2818 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2818, expected_value: N92000002, label: geography} + - {column: D, row: 2818, expected_value: All persons, label: sex} + - {column: E, row: 2818, expected_value: Employee, label: employment type} + - {column: J, row: 2818, expected_value: Value, label: measure} + - {column: L, row: 2819, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2820 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2820, expected_value: N92000002, label: geography} + - {column: D, row: 2820, expected_value: All persons, label: sex} + - {column: E, row: 2820, expected_value: Employee, label: employment type} + - {column: J, row: 2820, expected_value: Value, label: measure} + - {column: L, row: 2821, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2822 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2822, expected_value: N92000002, label: geography} + - {column: D, row: 2822, expected_value: All persons, label: sex} + - {column: E, row: 2822, expected_value: Employee, label: employment type} + - {column: J, row: 2822, expected_value: Value, label: measure} + - {column: L, row: 2823, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2824 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2824, expected_value: N92000002, label: geography} + - {column: D, row: 2824, expected_value: All persons, label: sex} + - {column: E, row: 2824, expected_value: Employee, label: employment type} + - {column: J, row: 2824, expected_value: Value, label: measure} + - {column: L, row: 2825, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2826 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2826, expected_value: N92000002, label: geography} + - {column: D, row: 2826, expected_value: All persons, label: sex} + - {column: E, row: 2826, expected_value: Employee, label: employment type} + - {column: J, row: 2826, expected_value: Value, label: measure} + - {column: L, row: 2827, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2828 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2828, expected_value: N92000002, label: geography} + - {column: D, row: 2828, expected_value: All persons, label: sex} + - {column: E, row: 2828, expected_value: Employee, label: employment type} + - {column: J, row: 2828, expected_value: Value, label: measure} + - {column: L, row: 2829, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2830 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2830, expected_value: N92000002, label: geography} + - {column: D, row: 2830, expected_value: All persons, label: sex} + - {column: E, row: 2830, expected_value: Employee, label: employment type} + - {column: J, row: 2830, expected_value: Value, label: measure} + - {column: L, row: 2831, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2832 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2832, expected_value: N92000002, label: geography} + - {column: D, row: 2832, expected_value: All persons, label: sex} + - {column: E, row: 2832, expected_value: Employee, label: employment type} + - {column: J, row: 2832, expected_value: Value, label: measure} + - {column: L, row: 2833, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2834 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2834, expected_value: N92000002, label: geography} + - {column: D, row: 2834, expected_value: All persons, label: sex} + - {column: E, row: 2834, expected_value: Employee, label: employment type} + - {column: J, row: 2834, expected_value: Value, label: measure} + - {column: L, row: 2835, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2836 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2836, expected_value: N92000002, label: geography} + - {column: D, row: 2836, expected_value: All persons, label: sex} + - {column: E, row: 2836, expected_value: Employee, label: employment type} + - {column: J, row: 2836, expected_value: Value, label: measure} + - {column: L, row: 2837, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2838 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2838, expected_value: N92000002, label: geography} + - {column: D, row: 2838, expected_value: All persons, label: sex} + - {column: E, row: 2838, expected_value: Employee, label: employment type} + - {column: J, row: 2838, expected_value: Value, label: measure} + - {column: L, row: 2839, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2840 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2840, expected_value: N92000002, label: geography} + - {column: D, row: 2840, expected_value: All persons, label: sex} + - {column: E, row: 2840, expected_value: Employee, label: employment type} + - {column: J, row: 2840, expected_value: Value, label: measure} + - {column: L, row: 2841, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2842 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2842, expected_value: N92000002, label: geography} + - {column: D, row: 2842, expected_value: All persons, label: sex} + - {column: E, row: 2842, expected_value: Employee, label: employment type} + - {column: J, row: 2842, expected_value: Value, label: measure} + - {column: L, row: 2843, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2844 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2844, expected_value: N92000002, label: geography} + - {column: D, row: 2844, expected_value: All persons, label: sex} + - {column: E, row: 2844, expected_value: Employee, label: employment type} + - {column: J, row: 2844, expected_value: Value, label: measure} + - {column: L, row: 2845, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2846 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2846, expected_value: N92000002, label: geography} + - {column: D, row: 2846, expected_value: All persons, label: sex} + - {column: E, row: 2846, expected_value: Employee, label: employment type} + - {column: J, row: 2846, expected_value: Value, label: measure} + - {column: L, row: 2847, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2848 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2848, expected_value: N92000002, label: geography} + - {column: D, row: 2848, expected_value: All persons, label: sex} + - {column: E, row: 2848, expected_value: Employee, label: employment type} + - {column: J, row: 2848, expected_value: Value, label: measure} + - {column: L, row: 2849, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2850 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2850, expected_value: N92000002, label: geography} + - {column: D, row: 2850, expected_value: All persons, label: sex} + - {column: E, row: 2850, expected_value: Employee, label: employment type} + - {column: J, row: 2850, expected_value: Value, label: measure} + - {column: L, row: 2851, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2852 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2852, expected_value: N92000002, label: geography} + - {column: D, row: 2852, expected_value: All persons, label: sex} + - {column: E, row: 2852, expected_value: Employee, label: employment type} + - {column: J, row: 2852, expected_value: Value, label: measure} + - {column: L, row: 2853, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2854 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2854, expected_value: N92000002, label: geography} + - {column: D, row: 2854, expected_value: All persons, label: sex} + - {column: E, row: 2854, expected_value: Employee, label: employment type} + - {column: J, row: 2854, expected_value: Value, label: measure} + - {column: L, row: 2855, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2856 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2856, expected_value: N92000002, label: geography} + - {column: D, row: 2856, expected_value: All persons, label: sex} + - {column: E, row: 2856, expected_value: Employee, label: employment type} + - {column: J, row: 2856, expected_value: Value, label: measure} + - {column: L, row: 2857, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2858 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2858, expected_value: N92000002, label: geography} + - {column: D, row: 2858, expected_value: All persons, label: sex} + - {column: E, row: 2858, expected_value: Employee, label: employment type} + - {column: J, row: 2858, expected_value: Value, label: measure} + - {column: L, row: 2859, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2860 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2860, expected_value: N92000002, label: geography} + - {column: D, row: 2860, expected_value: All persons, label: sex} + - {column: E, row: 2860, expected_value: Employee, label: employment type} + - {column: J, row: 2860, expected_value: Value, label: measure} + - {column: L, row: 2861, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2862 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2862, expected_value: N92000002, label: geography} + - {column: D, row: 2862, expected_value: All persons, label: sex} + - {column: E, row: 2862, expected_value: Employee, label: employment type} + - {column: J, row: 2862, expected_value: Value, label: measure} + - {column: L, row: 2863, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2864 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2864, expected_value: N92000002, label: geography} + - {column: D, row: 2864, expected_value: All persons, label: sex} + - {column: E, row: 2864, expected_value: Employee, label: employment type} + - {column: J, row: 2864, expected_value: Value, label: measure} + - {column: L, row: 2865, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2866 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2866, expected_value: N92000002, label: geography} + - {column: D, row: 2866, expected_value: All persons, label: sex} + - {column: E, row: 2866, expected_value: Employee, label: employment type} + - {column: J, row: 2866, expected_value: Value, label: measure} + - {column: L, row: 2867, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2868 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2868, expected_value: N92000002, label: geography} + - {column: D, row: 2868, expected_value: All persons, label: sex} + - {column: E, row: 2868, expected_value: Employee, label: employment type} + - {column: J, row: 2868, expected_value: Value, label: measure} + - {column: L, row: 2869, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2870 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2870, expected_value: N92000002, label: geography} + - {column: D, row: 2870, expected_value: All persons, label: sex} + - {column: E, row: 2870, expected_value: Employee, label: employment type} + - {column: J, row: 2870, expected_value: Value, label: measure} + - {column: L, row: 2871, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2872 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2872, expected_value: N92000002, label: geography} + - {column: D, row: 2872, expected_value: All persons, label: sex} + - {column: E, row: 2872, expected_value: Employee, label: employment type} + - {column: J, row: 2872, expected_value: Value, label: measure} + - {column: L, row: 2873, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2874 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2874, expected_value: N92000002, label: geography} + - {column: D, row: 2874, expected_value: All persons, label: sex} + - {column: E, row: 2874, expected_value: Employee, label: employment type} + - {column: J, row: 2874, expected_value: Value, label: measure} + - {column: L, row: 2875, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2876 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2876, expected_value: N92000002, label: geography} + - {column: D, row: 2876, expected_value: All persons, label: sex} + - {column: E, row: 2876, expected_value: Employee, label: employment type} + - {column: J, row: 2876, expected_value: Value, label: measure} + - {column: L, row: 2877, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2878 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2878, expected_value: N92000002, label: geography} + - {column: D, row: 2878, expected_value: All persons, label: sex} + - {column: E, row: 2878, expected_value: Employee, label: employment type} + - {column: J, row: 2878, expected_value: Value, label: measure} + - {column: L, row: 2879, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2880 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2880, expected_value: N92000002, label: geography} + - {column: D, row: 2880, expected_value: All persons, label: sex} + - {column: E, row: 2880, expected_value: Employee, label: employment type} + - {column: J, row: 2880, expected_value: Value, label: measure} + - {column: L, row: 2881, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2811 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2811, expected_value: N92000002, label: geography} + - {column: D, row: 2811, expected_value: All persons, label: sex} + - {column: E, row: 2811, expected_value: Employee, label: employment type} + - {column: J, row: 2811, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2813 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2813, expected_value: N92000002, label: geography} + - {column: D, row: 2813, expected_value: All persons, label: sex} + - {column: E, row: 2813, expected_value: Employee, label: employment type} + - {column: J, row: 2813, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2815 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2815, expected_value: N92000002, label: geography} + - {column: D, row: 2815, expected_value: All persons, label: sex} + - {column: E, row: 2815, expected_value: Employee, label: employment type} + - {column: J, row: 2815, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2817 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2817, expected_value: N92000002, label: geography} + - {column: D, row: 2817, expected_value: All persons, label: sex} + - {column: E, row: 2817, expected_value: Employee, label: employment type} + - {column: J, row: 2817, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2819 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2819, expected_value: N92000002, label: geography} + - {column: D, row: 2819, expected_value: All persons, label: sex} + - {column: E, row: 2819, expected_value: Employee, label: employment type} + - {column: J, row: 2819, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2821 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2821, expected_value: N92000002, label: geography} + - {column: D, row: 2821, expected_value: All persons, label: sex} + - {column: E, row: 2821, expected_value: Employee, label: employment type} + - {column: J, row: 2821, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2823 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2823, expected_value: N92000002, label: geography} + - {column: D, row: 2823, expected_value: All persons, label: sex} + - {column: E, row: 2823, expected_value: Employee, label: employment type} + - {column: J, row: 2823, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2825 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2825, expected_value: N92000002, label: geography} + - {column: D, row: 2825, expected_value: All persons, label: sex} + - {column: E, row: 2825, expected_value: Employee, label: employment type} + - {column: J, row: 2825, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2827 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2827, expected_value: N92000002, label: geography} + - {column: D, row: 2827, expected_value: All persons, label: sex} + - {column: E, row: 2827, expected_value: Employee, label: employment type} + - {column: J, row: 2827, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2829 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2829, expected_value: N92000002, label: geography} + - {column: D, row: 2829, expected_value: All persons, label: sex} + - {column: E, row: 2829, expected_value: Employee, label: employment type} + - {column: J, row: 2829, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2831 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2831, expected_value: N92000002, label: geography} + - {column: D, row: 2831, expected_value: All persons, label: sex} + - {column: E, row: 2831, expected_value: Employee, label: employment type} + - {column: J, row: 2831, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2833 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2833, expected_value: N92000002, label: geography} + - {column: D, row: 2833, expected_value: All persons, label: sex} + - {column: E, row: 2833, expected_value: Employee, label: employment type} + - {column: J, row: 2833, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2835 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2835, expected_value: N92000002, label: geography} + - {column: D, row: 2835, expected_value: All persons, label: sex} + - {column: E, row: 2835, expected_value: Employee, label: employment type} + - {column: J, row: 2835, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2837 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2837, expected_value: N92000002, label: geography} + - {column: D, row: 2837, expected_value: All persons, label: sex} + - {column: E, row: 2837, expected_value: Employee, label: employment type} + - {column: J, row: 2837, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2839 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2839, expected_value: N92000002, label: geography} + - {column: D, row: 2839, expected_value: All persons, label: sex} + - {column: E, row: 2839, expected_value: Employee, label: employment type} + - {column: J, row: 2839, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2841 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2841, expected_value: N92000002, label: geography} + - {column: D, row: 2841, expected_value: All persons, label: sex} + - {column: E, row: 2841, expected_value: Employee, label: employment type} + - {column: J, row: 2841, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2843 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2843, expected_value: N92000002, label: geography} + - {column: D, row: 2843, expected_value: All persons, label: sex} + - {column: E, row: 2843, expected_value: Employee, label: employment type} + - {column: J, row: 2843, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2845 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2845, expected_value: N92000002, label: geography} + - {column: D, row: 2845, expected_value: All persons, label: sex} + - {column: E, row: 2845, expected_value: Employee, label: employment type} + - {column: J, row: 2845, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2847 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2847, expected_value: N92000002, label: geography} + - {column: D, row: 2847, expected_value: All persons, label: sex} + - {column: E, row: 2847, expected_value: Employee, label: employment type} + - {column: J, row: 2847, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2849 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2849, expected_value: N92000002, label: geography} + - {column: D, row: 2849, expected_value: All persons, label: sex} + - {column: E, row: 2849, expected_value: Employee, label: employment type} + - {column: J, row: 2849, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2851 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2851, expected_value: N92000002, label: geography} + - {column: D, row: 2851, expected_value: All persons, label: sex} + - {column: E, row: 2851, expected_value: Employee, label: employment type} + - {column: J, row: 2851, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2853 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2853, expected_value: N92000002, label: geography} + - {column: D, row: 2853, expected_value: All persons, label: sex} + - {column: E, row: 2853, expected_value: Employee, label: employment type} + - {column: J, row: 2853, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2855 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2855, expected_value: N92000002, label: geography} + - {column: D, row: 2855, expected_value: All persons, label: sex} + - {column: E, row: 2855, expected_value: Employee, label: employment type} + - {column: J, row: 2855, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2857 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2857, expected_value: N92000002, label: geography} + - {column: D, row: 2857, expected_value: All persons, label: sex} + - {column: E, row: 2857, expected_value: Employee, label: employment type} + - {column: J, row: 2857, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2859 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2859, expected_value: N92000002, label: geography} + - {column: D, row: 2859, expected_value: All persons, label: sex} + - {column: E, row: 2859, expected_value: Employee, label: employment type} + - {column: J, row: 2859, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2861 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2861, expected_value: N92000002, label: geography} + - {column: D, row: 2861, expected_value: All persons, label: sex} + - {column: E, row: 2861, expected_value: Employee, label: employment type} + - {column: J, row: 2861, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2865 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2865, expected_value: N92000002, label: geography} + - {column: D, row: 2865, expected_value: All persons, label: sex} + - {column: E, row: 2865, expected_value: Employee, label: employment type} + - {column: J, row: 2865, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2867 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2867, expected_value: N92000002, label: geography} + - {column: D, row: 2867, expected_value: All persons, label: sex} + - {column: E, row: 2867, expected_value: Employee, label: employment type} + - {column: J, row: 2867, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2869 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2869, expected_value: N92000002, label: geography} + - {column: D, row: 2869, expected_value: All persons, label: sex} + - {column: E, row: 2869, expected_value: Employee, label: employment type} + - {column: J, row: 2869, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2871 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2871, expected_value: N92000002, label: geography} + - {column: D, row: 2871, expected_value: All persons, label: sex} + - {column: E, row: 2871, expected_value: Employee, label: employment type} + - {column: J, row: 2871, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2873 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2873, expected_value: N92000002, label: geography} + - {column: D, row: 2873, expected_value: All persons, label: sex} + - {column: E, row: 2873, expected_value: Employee, label: employment type} + - {column: J, row: 2873, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2875 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2875, expected_value: N92000002, label: geography} + - {column: D, row: 2875, expected_value: All persons, label: sex} + - {column: E, row: 2875, expected_value: Employee, label: employment type} + - {column: J, row: 2875, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2877 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2877, expected_value: N92000002, label: geography} + - {column: D, row: 2877, expected_value: All persons, label: sex} + - {column: E, row: 2877, expected_value: Employee, label: employment type} + - {column: J, row: 2877, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2879 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2879, expected_value: N92000002, label: geography} + - {column: D, row: 2879, expected_value: All persons, label: sex} + - {column: E, row: 2879, expected_value: Employee, label: employment type} + - {column: J, row: 2879, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2881 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2881, expected_value: N92000002, label: geography} + - {column: D, row: 2881, expected_value: All persons, label: sex} + - {column: E, row: 2881, expected_value: Employee, label: employment type} + - {column: J, row: 2881, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3026 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3026, expected_value: N92000002, label: geography} + - {column: D, row: 3026, expected_value: All persons, label: sex} + - {column: E, row: 3026, expected_value: Self-employed, label: employment type} + - {column: J, row: 3026, expected_value: Value, label: measure} + - {column: L, row: 3027, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3028 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3028, expected_value: N92000002, label: geography} + - {column: D, row: 3028, expected_value: All persons, label: sex} + - {column: E, row: 3028, expected_value: Self-employed, label: employment type} + - {column: J, row: 3028, expected_value: Value, label: measure} + - {column: L, row: 3029, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3030 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3030, expected_value: N92000002, label: geography} + - {column: D, row: 3030, expected_value: All persons, label: sex} + - {column: E, row: 3030, expected_value: Self-employed, label: employment type} + - {column: J, row: 3030, expected_value: Value, label: measure} + - {column: L, row: 3031, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3032 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3032, expected_value: N92000002, label: geography} + - {column: D, row: 3032, expected_value: All persons, label: sex} + - {column: E, row: 3032, expected_value: Self-employed, label: employment type} + - {column: J, row: 3032, expected_value: Value, label: measure} + - {column: L, row: 3033, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3034 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3034, expected_value: N92000002, label: geography} + - {column: D, row: 3034, expected_value: All persons, label: sex} + - {column: E, row: 3034, expected_value: Self-employed, label: employment type} + - {column: J, row: 3034, expected_value: Value, label: measure} + - {column: L, row: 3035, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3036 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3036, expected_value: N92000002, label: geography} + - {column: D, row: 3036, expected_value: All persons, label: sex} + - {column: E, row: 3036, expected_value: Self-employed, label: employment type} + - {column: J, row: 3036, expected_value: Value, label: measure} + - {column: L, row: 3037, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3038 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3038, expected_value: N92000002, label: geography} + - {column: D, row: 3038, expected_value: All persons, label: sex} + - {column: E, row: 3038, expected_value: Self-employed, label: employment type} + - {column: J, row: 3038, expected_value: Value, label: measure} + - {column: L, row: 3039, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3040 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3040, expected_value: N92000002, label: geography} + - {column: D, row: 3040, expected_value: All persons, label: sex} + - {column: E, row: 3040, expected_value: Self-employed, label: employment type} + - {column: J, row: 3040, expected_value: Value, label: measure} + - {column: L, row: 3041, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3042 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3042, expected_value: N92000002, label: geography} + - {column: D, row: 3042, expected_value: All persons, label: sex} + - {column: E, row: 3042, expected_value: Self-employed, label: employment type} + - {column: J, row: 3042, expected_value: Value, label: measure} + - {column: L, row: 3043, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3044 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3044, expected_value: N92000002, label: geography} + - {column: D, row: 3044, expected_value: All persons, label: sex} + - {column: E, row: 3044, expected_value: Self-employed, label: employment type} + - {column: J, row: 3044, expected_value: Value, label: measure} + - {column: L, row: 3045, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3046 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3046, expected_value: N92000002, label: geography} + - {column: D, row: 3046, expected_value: All persons, label: sex} + - {column: E, row: 3046, expected_value: Self-employed, label: employment type} + - {column: J, row: 3046, expected_value: Value, label: measure} + - {column: L, row: 3047, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3052 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3052, expected_value: N92000002, label: geography} + - {column: D, row: 3052, expected_value: All persons, label: sex} + - {column: E, row: 3052, expected_value: Self-employed, label: employment type} + - {column: J, row: 3052, expected_value: Value, label: measure} + - {column: L, row: 3053, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3054 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3054, expected_value: N92000002, label: geography} + - {column: D, row: 3054, expected_value: All persons, label: sex} + - {column: E, row: 3054, expected_value: Self-employed, label: employment type} + - {column: J, row: 3054, expected_value: Value, label: measure} + - {column: L, row: 3055, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3062 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3062, expected_value: N92000002, label: geography} + - {column: D, row: 3062, expected_value: All persons, label: sex} + - {column: E, row: 3062, expected_value: Self-employed, label: employment type} + - {column: J, row: 3062, expected_value: Value, label: measure} + - {column: L, row: 3063, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3064 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3064, expected_value: N92000002, label: geography} + - {column: D, row: 3064, expected_value: All persons, label: sex} + - {column: E, row: 3064, expected_value: Self-employed, label: employment type} + - {column: J, row: 3064, expected_value: Value, label: measure} + - {column: L, row: 3065, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3066 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3066, expected_value: N92000002, label: geography} + - {column: D, row: 3066, expected_value: All persons, label: sex} + - {column: E, row: 3066, expected_value: Self-employed, label: employment type} + - {column: J, row: 3066, expected_value: Value, label: measure} + - {column: L, row: 3067, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3068 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3068, expected_value: N92000002, label: geography} + - {column: D, row: 3068, expected_value: All persons, label: sex} + - {column: E, row: 3068, expected_value: Self-employed, label: employment type} + - {column: J, row: 3068, expected_value: Value, label: measure} + - {column: L, row: 3069, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3070 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3070, expected_value: N92000002, label: geography} + - {column: D, row: 3070, expected_value: All persons, label: sex} + - {column: E, row: 3070, expected_value: Self-employed, label: employment type} + - {column: J, row: 3070, expected_value: Value, label: measure} + - {column: L, row: 3071, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3072 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3072, expected_value: N92000002, label: geography} + - {column: D, row: 3072, expected_value: All persons, label: sex} + - {column: E, row: 3072, expected_value: Self-employed, label: employment type} + - {column: J, row: 3072, expected_value: Value, label: measure} + - {column: L, row: 3073, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3074 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3074, expected_value: N92000002, label: geography} + - {column: D, row: 3074, expected_value: All persons, label: sex} + - {column: E, row: 3074, expected_value: Self-employed, label: employment type} + - {column: J, row: 3074, expected_value: Value, label: measure} + - {column: L, row: 3075, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3076 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3076, expected_value: N92000002, label: geography} + - {column: D, row: 3076, expected_value: All persons, label: sex} + - {column: E, row: 3076, expected_value: Self-employed, label: employment type} + - {column: J, row: 3076, expected_value: Value, label: measure} + - {column: L, row: 3077, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3080 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3080, expected_value: N92000002, label: geography} + - {column: D, row: 3080, expected_value: All persons, label: sex} + - {column: E, row: 3080, expected_value: Self-employed, label: employment type} + - {column: J, row: 3080, expected_value: Value, label: measure} + - {column: L, row: 3081, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3082 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3082, expected_value: N92000002, label: geography} + - {column: D, row: 3082, expected_value: All persons, label: sex} + - {column: E, row: 3082, expected_value: Self-employed, label: employment type} + - {column: J, row: 3082, expected_value: Value, label: measure} + - {column: L, row: 3083, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3084 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3084, expected_value: N92000002, label: geography} + - {column: D, row: 3084, expected_value: All persons, label: sex} + - {column: E, row: 3084, expected_value: Self-employed, label: employment type} + - {column: J, row: 3084, expected_value: Value, label: measure} + - {column: L, row: 3085, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3086 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3086, expected_value: N92000002, label: geography} + - {column: D, row: 3086, expected_value: All persons, label: sex} + - {column: E, row: 3086, expected_value: Self-employed, label: employment type} + - {column: J, row: 3086, expected_value: Value, label: measure} + - {column: L, row: 3087, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3088 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3088, expected_value: N92000002, label: geography} + - {column: D, row: 3088, expected_value: All persons, label: sex} + - {column: E, row: 3088, expected_value: Self-employed, label: employment type} + - {column: J, row: 3088, expected_value: Value, label: measure} + - {column: L, row: 3089, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3090 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3090, expected_value: N92000002, label: geography} + - {column: D, row: 3090, expected_value: All persons, label: sex} + - {column: E, row: 3090, expected_value: Self-employed, label: employment type} + - {column: J, row: 3090, expected_value: Value, label: measure} + - {column: L, row: 3091, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3092 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3092, expected_value: N92000002, label: geography} + - {column: D, row: 3092, expected_value: All persons, label: sex} + - {column: E, row: 3092, expected_value: Self-employed, label: employment type} + - {column: J, row: 3092, expected_value: Value, label: measure} + - {column: L, row: 3093, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3094 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3094, expected_value: N92000002, label: geography} + - {column: D, row: 3094, expected_value: All persons, label: sex} + - {column: E, row: 3094, expected_value: Self-employed, label: employment type} + - {column: J, row: 3094, expected_value: Value, label: measure} + - {column: L, row: 3095, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3096 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3096, expected_value: N92000002, label: geography} + - {column: D, row: 3096, expected_value: All persons, label: sex} + - {column: E, row: 3096, expected_value: Self-employed, label: employment type} + - {column: J, row: 3096, expected_value: Value, label: measure} + - {column: L, row: 3097, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3027 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3027, expected_value: N92000002, label: geography} + - {column: D, row: 3027, expected_value: All persons, label: sex} + - {column: E, row: 3027, expected_value: Self-employed, label: employment type} + - {column: J, row: 3027, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3029 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3029, expected_value: N92000002, label: geography} + - {column: D, row: 3029, expected_value: All persons, label: sex} + - {column: E, row: 3029, expected_value: Self-employed, label: employment type} + - {column: J, row: 3029, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3031 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3031, expected_value: N92000002, label: geography} + - {column: D, row: 3031, expected_value: All persons, label: sex} + - {column: E, row: 3031, expected_value: Self-employed, label: employment type} + - {column: J, row: 3031, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3033 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3033, expected_value: N92000002, label: geography} + - {column: D, row: 3033, expected_value: All persons, label: sex} + - {column: E, row: 3033, expected_value: Self-employed, label: employment type} + - {column: J, row: 3033, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3035 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3035, expected_value: N92000002, label: geography} + - {column: D, row: 3035, expected_value: All persons, label: sex} + - {column: E, row: 3035, expected_value: Self-employed, label: employment type} + - {column: J, row: 3035, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3037 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3037, expected_value: N92000002, label: geography} + - {column: D, row: 3037, expected_value: All persons, label: sex} + - {column: E, row: 3037, expected_value: Self-employed, label: employment type} + - {column: J, row: 3037, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3039 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3039, expected_value: N92000002, label: geography} + - {column: D, row: 3039, expected_value: All persons, label: sex} + - {column: E, row: 3039, expected_value: Self-employed, label: employment type} + - {column: J, row: 3039, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3043 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3043, expected_value: N92000002, label: geography} + - {column: D, row: 3043, expected_value: All persons, label: sex} + - {column: E, row: 3043, expected_value: Self-employed, label: employment type} + - {column: J, row: 3043, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3045 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3045, expected_value: N92000002, label: geography} + - {column: D, row: 3045, expected_value: All persons, label: sex} + - {column: E, row: 3045, expected_value: Self-employed, label: employment type} + - {column: J, row: 3045, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3053 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3053, expected_value: N92000002, label: geography} + - {column: D, row: 3053, expected_value: All persons, label: sex} + - {column: E, row: 3053, expected_value: Self-employed, label: employment type} + - {column: J, row: 3053, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3055 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3055, expected_value: N92000002, label: geography} + - {column: D, row: 3055, expected_value: All persons, label: sex} + - {column: E, row: 3055, expected_value: Self-employed, label: employment type} + - {column: J, row: 3055, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3063 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3063, expected_value: N92000002, label: geography} + - {column: D, row: 3063, expected_value: All persons, label: sex} + - {column: E, row: 3063, expected_value: Self-employed, label: employment type} + - {column: J, row: 3063, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3065 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3065, expected_value: N92000002, label: geography} + - {column: D, row: 3065, expected_value: All persons, label: sex} + - {column: E, row: 3065, expected_value: Self-employed, label: employment type} + - {column: J, row: 3065, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3067 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3067, expected_value: N92000002, label: geography} + - {column: D, row: 3067, expected_value: All persons, label: sex} + - {column: E, row: 3067, expected_value: Self-employed, label: employment type} + - {column: J, row: 3067, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3069 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3069, expected_value: N92000002, label: geography} + - {column: D, row: 3069, expected_value: All persons, label: sex} + - {column: E, row: 3069, expected_value: Self-employed, label: employment type} + - {column: J, row: 3069, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3071 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3071, expected_value: N92000002, label: geography} + - {column: D, row: 3071, expected_value: All persons, label: sex} + - {column: E, row: 3071, expected_value: Self-employed, label: employment type} + - {column: J, row: 3071, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3073 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3073, expected_value: N92000002, label: geography} + - {column: D, row: 3073, expected_value: All persons, label: sex} + - {column: E, row: 3073, expected_value: Self-employed, label: employment type} + - {column: J, row: 3073, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3075 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3075, expected_value: N92000002, label: geography} + - {column: D, row: 3075, expected_value: All persons, label: sex} + - {column: E, row: 3075, expected_value: Self-employed, label: employment type} + - {column: J, row: 3075, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3077 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3077, expected_value: N92000002, label: geography} + - {column: D, row: 3077, expected_value: All persons, label: sex} + - {column: E, row: 3077, expected_value: Self-employed, label: employment type} + - {column: J, row: 3077, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3081 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3081, expected_value: N92000002, label: geography} + - {column: D, row: 3081, expected_value: All persons, label: sex} + - {column: E, row: 3081, expected_value: Self-employed, label: employment type} + - {column: J, row: 3081, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3083 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3083, expected_value: N92000002, label: geography} + - {column: D, row: 3083, expected_value: All persons, label: sex} + - {column: E, row: 3083, expected_value: Self-employed, label: employment type} + - {column: J, row: 3083, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3087 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3087, expected_value: N92000002, label: geography} + - {column: D, row: 3087, expected_value: All persons, label: sex} + - {column: E, row: 3087, expected_value: Self-employed, label: employment type} + - {column: J, row: 3087, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3089 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3089, expected_value: N92000002, label: geography} + - {column: D, row: 3089, expected_value: All persons, label: sex} + - {column: E, row: 3089, expected_value: Self-employed, label: employment type} + - {column: J, row: 3089, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3091 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3091, expected_value: N92000002, label: geography} + - {column: D, row: 3091, expected_value: All persons, label: sex} + - {column: E, row: 3091, expected_value: Self-employed, label: employment type} + - {column: J, row: 3091, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3093 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3093, expected_value: N92000002, label: geography} + - {column: D, row: 3093, expected_value: All persons, label: sex} + - {column: E, row: 3093, expected_value: Self-employed, label: employment type} + - {column: J, row: 3093, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3095 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3095, expected_value: N92000002, label: geography} + - {column: D, row: 3095, expected_value: All persons, label: sex} + - {column: E, row: 3095, expected_value: Self-employed, label: employment type} + - {column: J, row: 3095, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3097 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3097, expected_value: N92000002, label: geography} + - {column: D, row: 3097, expected_value: All persons, label: sex} + - {column: E, row: 3097, expected_value: Self-employed, label: employment type} + - {column: J, row: 3097, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2666 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2666, expected_value: N92000002, label: geography} + - {column: D, row: 2666, expected_value: Males, label: sex} + - {column: E, row: 2666, expected_value: Total, label: employment type} + - {column: J, row: 2666, expected_value: Value, label: measure} + - {column: L, row: 2667, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2668 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2668, expected_value: N92000002, label: geography} + - {column: D, row: 2668, expected_value: Males, label: sex} + - {column: E, row: 2668, expected_value: Total, label: employment type} + - {column: J, row: 2668, expected_value: Value, label: measure} + - {column: L, row: 2669, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2670 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2670, expected_value: N92000002, label: geography} + - {column: D, row: 2670, expected_value: Males, label: sex} + - {column: E, row: 2670, expected_value: Total, label: employment type} + - {column: J, row: 2670, expected_value: Value, label: measure} + - {column: L, row: 2671, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2672 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2672, expected_value: N92000002, label: geography} + - {column: D, row: 2672, expected_value: Males, label: sex} + - {column: E, row: 2672, expected_value: Total, label: employment type} + - {column: J, row: 2672, expected_value: Value, label: measure} + - {column: L, row: 2673, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2674 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2674, expected_value: N92000002, label: geography} + - {column: D, row: 2674, expected_value: Males, label: sex} + - {column: E, row: 2674, expected_value: Total, label: employment type} + - {column: J, row: 2674, expected_value: Value, label: measure} + - {column: L, row: 2675, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2676 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2676, expected_value: N92000002, label: geography} + - {column: D, row: 2676, expected_value: Males, label: sex} + - {column: E, row: 2676, expected_value: Total, label: employment type} + - {column: J, row: 2676, expected_value: Value, label: measure} + - {column: L, row: 2677, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2678 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2678, expected_value: N92000002, label: geography} + - {column: D, row: 2678, expected_value: Males, label: sex} + - {column: E, row: 2678, expected_value: Total, label: employment type} + - {column: J, row: 2678, expected_value: Value, label: measure} + - {column: L, row: 2679, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2680 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2680, expected_value: N92000002, label: geography} + - {column: D, row: 2680, expected_value: Males, label: sex} + - {column: E, row: 2680, expected_value: Total, label: employment type} + - {column: J, row: 2680, expected_value: Value, label: measure} + - {column: L, row: 2681, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2682 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2682, expected_value: N92000002, label: geography} + - {column: D, row: 2682, expected_value: Males, label: sex} + - {column: E, row: 2682, expected_value: Total, label: employment type} + - {column: J, row: 2682, expected_value: Value, label: measure} + - {column: L, row: 2683, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2684 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2684, expected_value: N92000002, label: geography} + - {column: D, row: 2684, expected_value: Males, label: sex} + - {column: E, row: 2684, expected_value: Total, label: employment type} + - {column: J, row: 2684, expected_value: Value, label: measure} + - {column: L, row: 2685, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2686 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2686, expected_value: N92000002, label: geography} + - {column: D, row: 2686, expected_value: Males, label: sex} + - {column: E, row: 2686, expected_value: Total, label: employment type} + - {column: J, row: 2686, expected_value: Value, label: measure} + - {column: L, row: 2687, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2688 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2688, expected_value: N92000002, label: geography} + - {column: D, row: 2688, expected_value: Males, label: sex} + - {column: E, row: 2688, expected_value: Total, label: employment type} + - {column: J, row: 2688, expected_value: Value, label: measure} + - {column: L, row: 2689, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2690 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2690, expected_value: N92000002, label: geography} + - {column: D, row: 2690, expected_value: Males, label: sex} + - {column: E, row: 2690, expected_value: Total, label: employment type} + - {column: J, row: 2690, expected_value: Value, label: measure} + - {column: L, row: 2691, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2692 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2692, expected_value: N92000002, label: geography} + - {column: D, row: 2692, expected_value: Males, label: sex} + - {column: E, row: 2692, expected_value: Total, label: employment type} + - {column: J, row: 2692, expected_value: Value, label: measure} + - {column: L, row: 2693, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2694 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2694, expected_value: N92000002, label: geography} + - {column: D, row: 2694, expected_value: Males, label: sex} + - {column: E, row: 2694, expected_value: Total, label: employment type} + - {column: J, row: 2694, expected_value: Value, label: measure} + - {column: L, row: 2695, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2696 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2696, expected_value: N92000002, label: geography} + - {column: D, row: 2696, expected_value: Males, label: sex} + - {column: E, row: 2696, expected_value: Total, label: employment type} + - {column: J, row: 2696, expected_value: Value, label: measure} + - {column: L, row: 2697, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2698 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2698, expected_value: N92000002, label: geography} + - {column: D, row: 2698, expected_value: Males, label: sex} + - {column: E, row: 2698, expected_value: Total, label: employment type} + - {column: J, row: 2698, expected_value: Value, label: measure} + - {column: L, row: 2699, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2700 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2700, expected_value: N92000002, label: geography} + - {column: D, row: 2700, expected_value: Males, label: sex} + - {column: E, row: 2700, expected_value: Total, label: employment type} + - {column: J, row: 2700, expected_value: Value, label: measure} + - {column: L, row: 2701, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2702 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2702, expected_value: N92000002, label: geography} + - {column: D, row: 2702, expected_value: Males, label: sex} + - {column: E, row: 2702, expected_value: Total, label: employment type} + - {column: J, row: 2702, expected_value: Value, label: measure} + - {column: L, row: 2703, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2704 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2704, expected_value: N92000002, label: geography} + - {column: D, row: 2704, expected_value: Males, label: sex} + - {column: E, row: 2704, expected_value: Total, label: employment type} + - {column: J, row: 2704, expected_value: Value, label: measure} + - {column: L, row: 2705, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2706 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2706, expected_value: N92000002, label: geography} + - {column: D, row: 2706, expected_value: Males, label: sex} + - {column: E, row: 2706, expected_value: Total, label: employment type} + - {column: J, row: 2706, expected_value: Value, label: measure} + - {column: L, row: 2707, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2708 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2708, expected_value: N92000002, label: geography} + - {column: D, row: 2708, expected_value: Males, label: sex} + - {column: E, row: 2708, expected_value: Total, label: employment type} + - {column: J, row: 2708, expected_value: Value, label: measure} + - {column: L, row: 2709, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2710 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2710, expected_value: N92000002, label: geography} + - {column: D, row: 2710, expected_value: Males, label: sex} + - {column: E, row: 2710, expected_value: Total, label: employment type} + - {column: J, row: 2710, expected_value: Value, label: measure} + - {column: L, row: 2711, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2712 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2712, expected_value: N92000002, label: geography} + - {column: D, row: 2712, expected_value: Males, label: sex} + - {column: E, row: 2712, expected_value: Total, label: employment type} + - {column: J, row: 2712, expected_value: Value, label: measure} + - {column: L, row: 2713, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2714 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2714, expected_value: N92000002, label: geography} + - {column: D, row: 2714, expected_value: Males, label: sex} + - {column: E, row: 2714, expected_value: Total, label: employment type} + - {column: J, row: 2714, expected_value: Value, label: measure} + - {column: L, row: 2715, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2716 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2716, expected_value: N92000002, label: geography} + - {column: D, row: 2716, expected_value: Males, label: sex} + - {column: E, row: 2716, expected_value: Total, label: employment type} + - {column: J, row: 2716, expected_value: Value, label: measure} + - {column: L, row: 2717, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2720 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2720, expected_value: N92000002, label: geography} + - {column: D, row: 2720, expected_value: Males, label: sex} + - {column: E, row: 2720, expected_value: Total, label: employment type} + - {column: J, row: 2720, expected_value: Value, label: measure} + - {column: L, row: 2721, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2722 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2722, expected_value: N92000002, label: geography} + - {column: D, row: 2722, expected_value: Males, label: sex} + - {column: E, row: 2722, expected_value: Total, label: employment type} + - {column: J, row: 2722, expected_value: Value, label: measure} + - {column: L, row: 2723, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2724 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2724, expected_value: N92000002, label: geography} + - {column: D, row: 2724, expected_value: Males, label: sex} + - {column: E, row: 2724, expected_value: Total, label: employment type} + - {column: J, row: 2724, expected_value: Value, label: measure} + - {column: L, row: 2725, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2726 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2726, expected_value: N92000002, label: geography} + - {column: D, row: 2726, expected_value: Males, label: sex} + - {column: E, row: 2726, expected_value: Total, label: employment type} + - {column: J, row: 2726, expected_value: Value, label: measure} + - {column: L, row: 2727, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2728 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2728, expected_value: N92000002, label: geography} + - {column: D, row: 2728, expected_value: Males, label: sex} + - {column: E, row: 2728, expected_value: Total, label: employment type} + - {column: J, row: 2728, expected_value: Value, label: measure} + - {column: L, row: 2729, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2730 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2730, expected_value: N92000002, label: geography} + - {column: D, row: 2730, expected_value: Males, label: sex} + - {column: E, row: 2730, expected_value: Total, label: employment type} + - {column: J, row: 2730, expected_value: Value, label: measure} + - {column: L, row: 2731, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2732 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2732, expected_value: N92000002, label: geography} + - {column: D, row: 2732, expected_value: Males, label: sex} + - {column: E, row: 2732, expected_value: Total, label: employment type} + - {column: J, row: 2732, expected_value: Value, label: measure} + - {column: L, row: 2733, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2734 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2734, expected_value: N92000002, label: geography} + - {column: D, row: 2734, expected_value: Males, label: sex} + - {column: E, row: 2734, expected_value: Total, label: employment type} + - {column: J, row: 2734, expected_value: Value, label: measure} + - {column: L, row: 2735, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2736 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2736, expected_value: N92000002, label: geography} + - {column: D, row: 2736, expected_value: Males, label: sex} + - {column: E, row: 2736, expected_value: Total, label: employment type} + - {column: J, row: 2736, expected_value: Value, label: measure} + - {column: L, row: 2737, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2667 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2667, expected_value: N92000002, label: geography} + - {column: D, row: 2667, expected_value: Males, label: sex} + - {column: E, row: 2667, expected_value: Total, label: employment type} + - {column: J, row: 2667, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2669 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2669, expected_value: N92000002, label: geography} + - {column: D, row: 2669, expected_value: Males, label: sex} + - {column: E, row: 2669, expected_value: Total, label: employment type} + - {column: J, row: 2669, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2671 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2671, expected_value: N92000002, label: geography} + - {column: D, row: 2671, expected_value: Males, label: sex} + - {column: E, row: 2671, expected_value: Total, label: employment type} + - {column: J, row: 2671, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2673 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2673, expected_value: N92000002, label: geography} + - {column: D, row: 2673, expected_value: Males, label: sex} + - {column: E, row: 2673, expected_value: Total, label: employment type} + - {column: J, row: 2673, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2675 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2675, expected_value: N92000002, label: geography} + - {column: D, row: 2675, expected_value: Males, label: sex} + - {column: E, row: 2675, expected_value: Total, label: employment type} + - {column: J, row: 2675, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2677 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2677, expected_value: N92000002, label: geography} + - {column: D, row: 2677, expected_value: Males, label: sex} + - {column: E, row: 2677, expected_value: Total, label: employment type} + - {column: J, row: 2677, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2679 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2679, expected_value: N92000002, label: geography} + - {column: D, row: 2679, expected_value: Males, label: sex} + - {column: E, row: 2679, expected_value: Total, label: employment type} + - {column: J, row: 2679, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2681 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2681, expected_value: N92000002, label: geography} + - {column: D, row: 2681, expected_value: Males, label: sex} + - {column: E, row: 2681, expected_value: Total, label: employment type} + - {column: J, row: 2681, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2683 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2683, expected_value: N92000002, label: geography} + - {column: D, row: 2683, expected_value: Males, label: sex} + - {column: E, row: 2683, expected_value: Total, label: employment type} + - {column: J, row: 2683, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2685 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2685, expected_value: N92000002, label: geography} + - {column: D, row: 2685, expected_value: Males, label: sex} + - {column: E, row: 2685, expected_value: Total, label: employment type} + - {column: J, row: 2685, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2687 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2687, expected_value: N92000002, label: geography} + - {column: D, row: 2687, expected_value: Males, label: sex} + - {column: E, row: 2687, expected_value: Total, label: employment type} + - {column: J, row: 2687, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2689 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2689, expected_value: N92000002, label: geography} + - {column: D, row: 2689, expected_value: Males, label: sex} + - {column: E, row: 2689, expected_value: Total, label: employment type} + - {column: J, row: 2689, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2691 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2691, expected_value: N92000002, label: geography} + - {column: D, row: 2691, expected_value: Males, label: sex} + - {column: E, row: 2691, expected_value: Total, label: employment type} + - {column: J, row: 2691, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2693 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2693, expected_value: N92000002, label: geography} + - {column: D, row: 2693, expected_value: Males, label: sex} + - {column: E, row: 2693, expected_value: Total, label: employment type} + - {column: J, row: 2693, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2695 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2695, expected_value: N92000002, label: geography} + - {column: D, row: 2695, expected_value: Males, label: sex} + - {column: E, row: 2695, expected_value: Total, label: employment type} + - {column: J, row: 2695, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2697 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2697, expected_value: N92000002, label: geography} + - {column: D, row: 2697, expected_value: Males, label: sex} + - {column: E, row: 2697, expected_value: Total, label: employment type} + - {column: J, row: 2697, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2699 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2699, expected_value: N92000002, label: geography} + - {column: D, row: 2699, expected_value: Males, label: sex} + - {column: E, row: 2699, expected_value: Total, label: employment type} + - {column: J, row: 2699, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2703 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2703, expected_value: N92000002, label: geography} + - {column: D, row: 2703, expected_value: Males, label: sex} + - {column: E, row: 2703, expected_value: Total, label: employment type} + - {column: J, row: 2703, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2705 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2705, expected_value: N92000002, label: geography} + - {column: D, row: 2705, expected_value: Males, label: sex} + - {column: E, row: 2705, expected_value: Total, label: employment type} + - {column: J, row: 2705, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2707 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2707, expected_value: N92000002, label: geography} + - {column: D, row: 2707, expected_value: Males, label: sex} + - {column: E, row: 2707, expected_value: Total, label: employment type} + - {column: J, row: 2707, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2709 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2709, expected_value: N92000002, label: geography} + - {column: D, row: 2709, expected_value: Males, label: sex} + - {column: E, row: 2709, expected_value: Total, label: employment type} + - {column: J, row: 2709, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2711 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2711, expected_value: N92000002, label: geography} + - {column: D, row: 2711, expected_value: Males, label: sex} + - {column: E, row: 2711, expected_value: Total, label: employment type} + - {column: J, row: 2711, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2713 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2713, expected_value: N92000002, label: geography} + - {column: D, row: 2713, expected_value: Males, label: sex} + - {column: E, row: 2713, expected_value: Total, label: employment type} + - {column: J, row: 2713, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2715 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2715, expected_value: N92000002, label: geography} + - {column: D, row: 2715, expected_value: Males, label: sex} + - {column: E, row: 2715, expected_value: Total, label: employment type} + - {column: J, row: 2715, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2717 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2717, expected_value: N92000002, label: geography} + - {column: D, row: 2717, expected_value: Males, label: sex} + - {column: E, row: 2717, expected_value: Total, label: employment type} + - {column: J, row: 2717, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2721 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2721, expected_value: N92000002, label: geography} + - {column: D, row: 2721, expected_value: Males, label: sex} + - {column: E, row: 2721, expected_value: Total, label: employment type} + - {column: J, row: 2721, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2723 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2723, expected_value: N92000002, label: geography} + - {column: D, row: 2723, expected_value: Males, label: sex} + - {column: E, row: 2723, expected_value: Total, label: employment type} + - {column: J, row: 2723, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2725 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2725, expected_value: N92000002, label: geography} + - {column: D, row: 2725, expected_value: Males, label: sex} + - {column: E, row: 2725, expected_value: Total, label: employment type} + - {column: J, row: 2725, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2727 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2727, expected_value: N92000002, label: geography} + - {column: D, row: 2727, expected_value: Males, label: sex} + - {column: E, row: 2727, expected_value: Total, label: employment type} + - {column: J, row: 2727, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2729 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2729, expected_value: N92000002, label: geography} + - {column: D, row: 2729, expected_value: Males, label: sex} + - {column: E, row: 2729, expected_value: Total, label: employment type} + - {column: J, row: 2729, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2731 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2731, expected_value: N92000002, label: geography} + - {column: D, row: 2731, expected_value: Males, label: sex} + - {column: E, row: 2731, expected_value: Total, label: employment type} + - {column: J, row: 2731, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2733 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2733, expected_value: N92000002, label: geography} + - {column: D, row: 2733, expected_value: Males, label: sex} + - {column: E, row: 2733, expected_value: Total, label: employment type} + - {column: J, row: 2733, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2735 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2735, expected_value: N92000002, label: geography} + - {column: D, row: 2735, expected_value: Males, label: sex} + - {column: E, row: 2735, expected_value: Total, label: employment type} + - {column: J, row: 2735, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2737 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2737, expected_value: N92000002, label: geography} + - {column: D, row: 2737, expected_value: Males, label: sex} + - {column: E, row: 2737, expected_value: Total, label: employment type} + - {column: J, row: 2737, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2882 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2882, expected_value: N92000002, label: geography} + - {column: D, row: 2882, expected_value: Males, label: sex} + - {column: E, row: 2882, expected_value: Employee, label: employment type} + - {column: J, row: 2882, expected_value: Value, label: measure} + - {column: L, row: 2883, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2884 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2884, expected_value: N92000002, label: geography} + - {column: D, row: 2884, expected_value: Males, label: sex} + - {column: E, row: 2884, expected_value: Employee, label: employment type} + - {column: J, row: 2884, expected_value: Value, label: measure} + - {column: L, row: 2885, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2886 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2886, expected_value: N92000002, label: geography} + - {column: D, row: 2886, expected_value: Males, label: sex} + - {column: E, row: 2886, expected_value: Employee, label: employment type} + - {column: J, row: 2886, expected_value: Value, label: measure} + - {column: L, row: 2887, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2888 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2888, expected_value: N92000002, label: geography} + - {column: D, row: 2888, expected_value: Males, label: sex} + - {column: E, row: 2888, expected_value: Employee, label: employment type} + - {column: J, row: 2888, expected_value: Value, label: measure} + - {column: L, row: 2889, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2890 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2890, expected_value: N92000002, label: geography} + - {column: D, row: 2890, expected_value: Males, label: sex} + - {column: E, row: 2890, expected_value: Employee, label: employment type} + - {column: J, row: 2890, expected_value: Value, label: measure} + - {column: L, row: 2891, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2892 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2892, expected_value: N92000002, label: geography} + - {column: D, row: 2892, expected_value: Males, label: sex} + - {column: E, row: 2892, expected_value: Employee, label: employment type} + - {column: J, row: 2892, expected_value: Value, label: measure} + - {column: L, row: 2893, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2894 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2894, expected_value: N92000002, label: geography} + - {column: D, row: 2894, expected_value: Males, label: sex} + - {column: E, row: 2894, expected_value: Employee, label: employment type} + - {column: J, row: 2894, expected_value: Value, label: measure} + - {column: L, row: 2895, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2896 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2896, expected_value: N92000002, label: geography} + - {column: D, row: 2896, expected_value: Males, label: sex} + - {column: E, row: 2896, expected_value: Employee, label: employment type} + - {column: J, row: 2896, expected_value: Value, label: measure} + - {column: L, row: 2897, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2898 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2898, expected_value: N92000002, label: geography} + - {column: D, row: 2898, expected_value: Males, label: sex} + - {column: E, row: 2898, expected_value: Employee, label: employment type} + - {column: J, row: 2898, expected_value: Value, label: measure} + - {column: L, row: 2899, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2900 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2900, expected_value: N92000002, label: geography} + - {column: D, row: 2900, expected_value: Males, label: sex} + - {column: E, row: 2900, expected_value: Employee, label: employment type} + - {column: J, row: 2900, expected_value: Value, label: measure} + - {column: L, row: 2901, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2902 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2902, expected_value: N92000002, label: geography} + - {column: D, row: 2902, expected_value: Males, label: sex} + - {column: E, row: 2902, expected_value: Employee, label: employment type} + - {column: J, row: 2902, expected_value: Value, label: measure} + - {column: L, row: 2903, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2904 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2904, expected_value: N92000002, label: geography} + - {column: D, row: 2904, expected_value: Males, label: sex} + - {column: E, row: 2904, expected_value: Employee, label: employment type} + - {column: J, row: 2904, expected_value: Value, label: measure} + - {column: L, row: 2905, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2906 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2906, expected_value: N92000002, label: geography} + - {column: D, row: 2906, expected_value: Males, label: sex} + - {column: E, row: 2906, expected_value: Employee, label: employment type} + - {column: J, row: 2906, expected_value: Value, label: measure} + - {column: L, row: 2907, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2908 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2908, expected_value: N92000002, label: geography} + - {column: D, row: 2908, expected_value: Males, label: sex} + - {column: E, row: 2908, expected_value: Employee, label: employment type} + - {column: J, row: 2908, expected_value: Value, label: measure} + - {column: L, row: 2909, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2910 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2910, expected_value: N92000002, label: geography} + - {column: D, row: 2910, expected_value: Males, label: sex} + - {column: E, row: 2910, expected_value: Employee, label: employment type} + - {column: J, row: 2910, expected_value: Value, label: measure} + - {column: L, row: 2911, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2912 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2912, expected_value: N92000002, label: geography} + - {column: D, row: 2912, expected_value: Males, label: sex} + - {column: E, row: 2912, expected_value: Employee, label: employment type} + - {column: J, row: 2912, expected_value: Value, label: measure} + - {column: L, row: 2913, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2914 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2914, expected_value: N92000002, label: geography} + - {column: D, row: 2914, expected_value: Males, label: sex} + - {column: E, row: 2914, expected_value: Employee, label: employment type} + - {column: J, row: 2914, expected_value: Value, label: measure} + - {column: L, row: 2915, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2916 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2916, expected_value: N92000002, label: geography} + - {column: D, row: 2916, expected_value: Males, label: sex} + - {column: E, row: 2916, expected_value: Employee, label: employment type} + - {column: J, row: 2916, expected_value: Value, label: measure} + - {column: L, row: 2917, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2918 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2918, expected_value: N92000002, label: geography} + - {column: D, row: 2918, expected_value: Males, label: sex} + - {column: E, row: 2918, expected_value: Employee, label: employment type} + - {column: J, row: 2918, expected_value: Value, label: measure} + - {column: L, row: 2919, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2920 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2920, expected_value: N92000002, label: geography} + - {column: D, row: 2920, expected_value: Males, label: sex} + - {column: E, row: 2920, expected_value: Employee, label: employment type} + - {column: J, row: 2920, expected_value: Value, label: measure} + - {column: L, row: 2921, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2922 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2922, expected_value: N92000002, label: geography} + - {column: D, row: 2922, expected_value: Males, label: sex} + - {column: E, row: 2922, expected_value: Employee, label: employment type} + - {column: J, row: 2922, expected_value: Value, label: measure} + - {column: L, row: 2923, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2924 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2924, expected_value: N92000002, label: geography} + - {column: D, row: 2924, expected_value: Males, label: sex} + - {column: E, row: 2924, expected_value: Employee, label: employment type} + - {column: J, row: 2924, expected_value: Value, label: measure} + - {column: L, row: 2925, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2926 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2926, expected_value: N92000002, label: geography} + - {column: D, row: 2926, expected_value: Males, label: sex} + - {column: E, row: 2926, expected_value: Employee, label: employment type} + - {column: J, row: 2926, expected_value: Value, label: measure} + - {column: L, row: 2927, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2928 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2928, expected_value: N92000002, label: geography} + - {column: D, row: 2928, expected_value: Males, label: sex} + - {column: E, row: 2928, expected_value: Employee, label: employment type} + - {column: J, row: 2928, expected_value: Value, label: measure} + - {column: L, row: 2929, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2930 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2930, expected_value: N92000002, label: geography} + - {column: D, row: 2930, expected_value: Males, label: sex} + - {column: E, row: 2930, expected_value: Employee, label: employment type} + - {column: J, row: 2930, expected_value: Value, label: measure} + - {column: L, row: 2931, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2932 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2932, expected_value: N92000002, label: geography} + - {column: D, row: 2932, expected_value: Males, label: sex} + - {column: E, row: 2932, expected_value: Employee, label: employment type} + - {column: J, row: 2932, expected_value: Value, label: measure} + - {column: L, row: 2933, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2936 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2936, expected_value: N92000002, label: geography} + - {column: D, row: 2936, expected_value: Males, label: sex} + - {column: E, row: 2936, expected_value: Employee, label: employment type} + - {column: J, row: 2936, expected_value: Value, label: measure} + - {column: L, row: 2937, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2938 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2938, expected_value: N92000002, label: geography} + - {column: D, row: 2938, expected_value: Males, label: sex} + - {column: E, row: 2938, expected_value: Employee, label: employment type} + - {column: J, row: 2938, expected_value: Value, label: measure} + - {column: L, row: 2939, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2940 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2940, expected_value: N92000002, label: geography} + - {column: D, row: 2940, expected_value: Males, label: sex} + - {column: E, row: 2940, expected_value: Employee, label: employment type} + - {column: J, row: 2940, expected_value: Value, label: measure} + - {column: L, row: 2941, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2942 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2942, expected_value: N92000002, label: geography} + - {column: D, row: 2942, expected_value: Males, label: sex} + - {column: E, row: 2942, expected_value: Employee, label: employment type} + - {column: J, row: 2942, expected_value: Value, label: measure} + - {column: L, row: 2943, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2944 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2944, expected_value: N92000002, label: geography} + - {column: D, row: 2944, expected_value: Males, label: sex} + - {column: E, row: 2944, expected_value: Employee, label: employment type} + - {column: J, row: 2944, expected_value: Value, label: measure} + - {column: L, row: 2945, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2946 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2946, expected_value: N92000002, label: geography} + - {column: D, row: 2946, expected_value: Males, label: sex} + - {column: E, row: 2946, expected_value: Employee, label: employment type} + - {column: J, row: 2946, expected_value: Value, label: measure} + - {column: L, row: 2947, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2948 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2948, expected_value: N92000002, label: geography} + - {column: D, row: 2948, expected_value: Males, label: sex} + - {column: E, row: 2948, expected_value: Employee, label: employment type} + - {column: J, row: 2948, expected_value: Value, label: measure} + - {column: L, row: 2949, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2950 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2950, expected_value: N92000002, label: geography} + - {column: D, row: 2950, expected_value: Males, label: sex} + - {column: E, row: 2950, expected_value: Employee, label: employment type} + - {column: J, row: 2950, expected_value: Value, label: measure} + - {column: L, row: 2951, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2952 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2952, expected_value: N92000002, label: geography} + - {column: D, row: 2952, expected_value: Males, label: sex} + - {column: E, row: 2952, expected_value: Employee, label: employment type} + - {column: J, row: 2952, expected_value: Value, label: measure} + - {column: L, row: 2953, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2883 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2883, expected_value: N92000002, label: geography} + - {column: D, row: 2883, expected_value: Males, label: sex} + - {column: E, row: 2883, expected_value: Employee, label: employment type} + - {column: J, row: 2883, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2885 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2885, expected_value: N92000002, label: geography} + - {column: D, row: 2885, expected_value: Males, label: sex} + - {column: E, row: 2885, expected_value: Employee, label: employment type} + - {column: J, row: 2885, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2887 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2887, expected_value: N92000002, label: geography} + - {column: D, row: 2887, expected_value: Males, label: sex} + - {column: E, row: 2887, expected_value: Employee, label: employment type} + - {column: J, row: 2887, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2889 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2889, expected_value: N92000002, label: geography} + - {column: D, row: 2889, expected_value: Males, label: sex} + - {column: E, row: 2889, expected_value: Employee, label: employment type} + - {column: J, row: 2889, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2891 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2891, expected_value: N92000002, label: geography} + - {column: D, row: 2891, expected_value: Males, label: sex} + - {column: E, row: 2891, expected_value: Employee, label: employment type} + - {column: J, row: 2891, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2893 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2893, expected_value: N92000002, label: geography} + - {column: D, row: 2893, expected_value: Males, label: sex} + - {column: E, row: 2893, expected_value: Employee, label: employment type} + - {column: J, row: 2893, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2895 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2895, expected_value: N92000002, label: geography} + - {column: D, row: 2895, expected_value: Males, label: sex} + - {column: E, row: 2895, expected_value: Employee, label: employment type} + - {column: J, row: 2895, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2897 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2897, expected_value: N92000002, label: geography} + - {column: D, row: 2897, expected_value: Males, label: sex} + - {column: E, row: 2897, expected_value: Employee, label: employment type} + - {column: J, row: 2897, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2899 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2899, expected_value: N92000002, label: geography} + - {column: D, row: 2899, expected_value: Males, label: sex} + - {column: E, row: 2899, expected_value: Employee, label: employment type} + - {column: J, row: 2899, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2901 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2901, expected_value: N92000002, label: geography} + - {column: D, row: 2901, expected_value: Males, label: sex} + - {column: E, row: 2901, expected_value: Employee, label: employment type} + - {column: J, row: 2901, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2903 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2903, expected_value: N92000002, label: geography} + - {column: D, row: 2903, expected_value: Males, label: sex} + - {column: E, row: 2903, expected_value: Employee, label: employment type} + - {column: J, row: 2903, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2905 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2905, expected_value: N92000002, label: geography} + - {column: D, row: 2905, expected_value: Males, label: sex} + - {column: E, row: 2905, expected_value: Employee, label: employment type} + - {column: J, row: 2905, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2907 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2907, expected_value: N92000002, label: geography} + - {column: D, row: 2907, expected_value: Males, label: sex} + - {column: E, row: 2907, expected_value: Employee, label: employment type} + - {column: J, row: 2907, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2909 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2909, expected_value: N92000002, label: geography} + - {column: D, row: 2909, expected_value: Males, label: sex} + - {column: E, row: 2909, expected_value: Employee, label: employment type} + - {column: J, row: 2909, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2911 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2911, expected_value: N92000002, label: geography} + - {column: D, row: 2911, expected_value: Males, label: sex} + - {column: E, row: 2911, expected_value: Employee, label: employment type} + - {column: J, row: 2911, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2913 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2913, expected_value: N92000002, label: geography} + - {column: D, row: 2913, expected_value: Males, label: sex} + - {column: E, row: 2913, expected_value: Employee, label: employment type} + - {column: J, row: 2913, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2915 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2915, expected_value: N92000002, label: geography} + - {column: D, row: 2915, expected_value: Males, label: sex} + - {column: E, row: 2915, expected_value: Employee, label: employment type} + - {column: J, row: 2915, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2919 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2919, expected_value: N92000002, label: geography} + - {column: D, row: 2919, expected_value: Males, label: sex} + - {column: E, row: 2919, expected_value: Employee, label: employment type} + - {column: J, row: 2919, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2923 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2923, expected_value: N92000002, label: geography} + - {column: D, row: 2923, expected_value: Males, label: sex} + - {column: E, row: 2923, expected_value: Employee, label: employment type} + - {column: J, row: 2923, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2925 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2925, expected_value: N92000002, label: geography} + - {column: D, row: 2925, expected_value: Males, label: sex} + - {column: E, row: 2925, expected_value: Employee, label: employment type} + - {column: J, row: 2925, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2927 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2927, expected_value: N92000002, label: geography} + - {column: D, row: 2927, expected_value: Males, label: sex} + - {column: E, row: 2927, expected_value: Employee, label: employment type} + - {column: J, row: 2927, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2929 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2929, expected_value: N92000002, label: geography} + - {column: D, row: 2929, expected_value: Males, label: sex} + - {column: E, row: 2929, expected_value: Employee, label: employment type} + - {column: J, row: 2929, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2931 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2931, expected_value: N92000002, label: geography} + - {column: D, row: 2931, expected_value: Males, label: sex} + - {column: E, row: 2931, expected_value: Employee, label: employment type} + - {column: J, row: 2931, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2933 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2933, expected_value: N92000002, label: geography} + - {column: D, row: 2933, expected_value: Males, label: sex} + - {column: E, row: 2933, expected_value: Employee, label: employment type} + - {column: J, row: 2933, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2937 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2937, expected_value: N92000002, label: geography} + - {column: D, row: 2937, expected_value: Males, label: sex} + - {column: E, row: 2937, expected_value: Employee, label: employment type} + - {column: J, row: 2937, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2939 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2939, expected_value: N92000002, label: geography} + - {column: D, row: 2939, expected_value: Males, label: sex} + - {column: E, row: 2939, expected_value: Employee, label: employment type} + - {column: J, row: 2939, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2941 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2941, expected_value: N92000002, label: geography} + - {column: D, row: 2941, expected_value: Males, label: sex} + - {column: E, row: 2941, expected_value: Employee, label: employment type} + - {column: J, row: 2941, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2943 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2943, expected_value: N92000002, label: geography} + - {column: D, row: 2943, expected_value: Males, label: sex} + - {column: E, row: 2943, expected_value: Employee, label: employment type} + - {column: J, row: 2943, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2945 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2945, expected_value: N92000002, label: geography} + - {column: D, row: 2945, expected_value: Males, label: sex} + - {column: E, row: 2945, expected_value: Employee, label: employment type} + - {column: J, row: 2945, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2947 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2947, expected_value: N92000002, label: geography} + - {column: D, row: 2947, expected_value: Males, label: sex} + - {column: E, row: 2947, expected_value: Employee, label: employment type} + - {column: J, row: 2947, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2949 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2949, expected_value: N92000002, label: geography} + - {column: D, row: 2949, expected_value: Males, label: sex} + - {column: E, row: 2949, expected_value: Employee, label: employment type} + - {column: J, row: 2949, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2951 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2951, expected_value: N92000002, label: geography} + - {column: D, row: 2951, expected_value: Males, label: sex} + - {column: E, row: 2951, expected_value: Employee, label: employment type} + - {column: J, row: 2951, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2953 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2953, expected_value: N92000002, label: geography} + - {column: D, row: 2953, expected_value: Males, label: sex} + - {column: E, row: 2953, expected_value: Employee, label: employment type} + - {column: J, row: 2953, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3098 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3098, expected_value: N92000002, label: geography} + - {column: D, row: 3098, expected_value: Males, label: sex} + - {column: E, row: 3098, expected_value: Self-employed, label: employment type} + - {column: J, row: 3098, expected_value: Value, label: measure} + - {column: L, row: 3099, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3100 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3100, expected_value: N92000002, label: geography} + - {column: D, row: 3100, expected_value: Males, label: sex} + - {column: E, row: 3100, expected_value: Self-employed, label: employment type} + - {column: J, row: 3100, expected_value: Value, label: measure} + - {column: L, row: 3101, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3102 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3102, expected_value: N92000002, label: geography} + - {column: D, row: 3102, expected_value: Males, label: sex} + - {column: E, row: 3102, expected_value: Self-employed, label: employment type} + - {column: J, row: 3102, expected_value: Value, label: measure} + - {column: L, row: 3103, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3104 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3104, expected_value: N92000002, label: geography} + - {column: D, row: 3104, expected_value: Males, label: sex} + - {column: E, row: 3104, expected_value: Self-employed, label: employment type} + - {column: J, row: 3104, expected_value: Value, label: measure} + - {column: L, row: 3105, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3106 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3106, expected_value: N92000002, label: geography} + - {column: D, row: 3106, expected_value: Males, label: sex} + - {column: E, row: 3106, expected_value: Self-employed, label: employment type} + - {column: J, row: 3106, expected_value: Value, label: measure} + - {column: L, row: 3107, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3108 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3108, expected_value: N92000002, label: geography} + - {column: D, row: 3108, expected_value: Males, label: sex} + - {column: E, row: 3108, expected_value: Self-employed, label: employment type} + - {column: J, row: 3108, expected_value: Value, label: measure} + - {column: L, row: 3109, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3110 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3110, expected_value: N92000002, label: geography} + - {column: D, row: 3110, expected_value: Males, label: sex} + - {column: E, row: 3110, expected_value: Self-employed, label: employment type} + - {column: J, row: 3110, expected_value: Value, label: measure} + - {column: L, row: 3111, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3112 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3112, expected_value: N92000002, label: geography} + - {column: D, row: 3112, expected_value: Males, label: sex} + - {column: E, row: 3112, expected_value: Self-employed, label: employment type} + - {column: J, row: 3112, expected_value: Value, label: measure} + - {column: L, row: 3113, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3114 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3114, expected_value: N92000002, label: geography} + - {column: D, row: 3114, expected_value: Males, label: sex} + - {column: E, row: 3114, expected_value: Self-employed, label: employment type} + - {column: J, row: 3114, expected_value: Value, label: measure} + - {column: L, row: 3115, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3116 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3116, expected_value: N92000002, label: geography} + - {column: D, row: 3116, expected_value: Males, label: sex} + - {column: E, row: 3116, expected_value: Self-employed, label: employment type} + - {column: J, row: 3116, expected_value: Value, label: measure} + - {column: L, row: 3117, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3118 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3118, expected_value: N92000002, label: geography} + - {column: D, row: 3118, expected_value: Males, label: sex} + - {column: E, row: 3118, expected_value: Self-employed, label: employment type} + - {column: J, row: 3118, expected_value: Value, label: measure} + - {column: L, row: 3119, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3124 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3124, expected_value: N92000002, label: geography} + - {column: D, row: 3124, expected_value: Males, label: sex} + - {column: E, row: 3124, expected_value: Self-employed, label: employment type} + - {column: J, row: 3124, expected_value: Value, label: measure} + - {column: L, row: 3125, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3126 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3126, expected_value: N92000002, label: geography} + - {column: D, row: 3126, expected_value: Males, label: sex} + - {column: E, row: 3126, expected_value: Self-employed, label: employment type} + - {column: J, row: 3126, expected_value: Value, label: measure} + - {column: L, row: 3127, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3134 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3134, expected_value: N92000002, label: geography} + - {column: D, row: 3134, expected_value: Males, label: sex} + - {column: E, row: 3134, expected_value: Self-employed, label: employment type} + - {column: J, row: 3134, expected_value: Value, label: measure} + - {column: L, row: 3135, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3136 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3136, expected_value: N92000002, label: geography} + - {column: D, row: 3136, expected_value: Males, label: sex} + - {column: E, row: 3136, expected_value: Self-employed, label: employment type} + - {column: J, row: 3136, expected_value: Value, label: measure} + - {column: L, row: 3137, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3138 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3138, expected_value: N92000002, label: geography} + - {column: D, row: 3138, expected_value: Males, label: sex} + - {column: E, row: 3138, expected_value: Self-employed, label: employment type} + - {column: J, row: 3138, expected_value: Value, label: measure} + - {column: L, row: 3139, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3140 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3140, expected_value: N92000002, label: geography} + - {column: D, row: 3140, expected_value: Males, label: sex} + - {column: E, row: 3140, expected_value: Self-employed, label: employment type} + - {column: J, row: 3140, expected_value: Value, label: measure} + - {column: L, row: 3141, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3142 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3142, expected_value: N92000002, label: geography} + - {column: D, row: 3142, expected_value: Males, label: sex} + - {column: E, row: 3142, expected_value: Self-employed, label: employment type} + - {column: J, row: 3142, expected_value: Value, label: measure} + - {column: L, row: 3143, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3144 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3144, expected_value: N92000002, label: geography} + - {column: D, row: 3144, expected_value: Males, label: sex} + - {column: E, row: 3144, expected_value: Self-employed, label: employment type} + - {column: J, row: 3144, expected_value: Value, label: measure} + - {column: L, row: 3145, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3148 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3148, expected_value: N92000002, label: geography} + - {column: D, row: 3148, expected_value: Males, label: sex} + - {column: E, row: 3148, expected_value: Self-employed, label: employment type} + - {column: J, row: 3148, expected_value: Value, label: measure} + - {column: L, row: 3149, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3152 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3152, expected_value: N92000002, label: geography} + - {column: D, row: 3152, expected_value: Males, label: sex} + - {column: E, row: 3152, expected_value: Self-employed, label: employment type} + - {column: J, row: 3152, expected_value: Value, label: measure} + - {column: L, row: 3153, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3154 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3154, expected_value: N92000002, label: geography} + - {column: D, row: 3154, expected_value: Males, label: sex} + - {column: E, row: 3154, expected_value: Self-employed, label: employment type} + - {column: J, row: 3154, expected_value: Value, label: measure} + - {column: L, row: 3155, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3158 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3158, expected_value: N92000002, label: geography} + - {column: D, row: 3158, expected_value: Males, label: sex} + - {column: E, row: 3158, expected_value: Self-employed, label: employment type} + - {column: J, row: 3158, expected_value: Value, label: measure} + - {column: L, row: 3159, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3160 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3160, expected_value: N92000002, label: geography} + - {column: D, row: 3160, expected_value: Males, label: sex} + - {column: E, row: 3160, expected_value: Self-employed, label: employment type} + - {column: J, row: 3160, expected_value: Value, label: measure} + - {column: L, row: 3161, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3162 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3162, expected_value: N92000002, label: geography} + - {column: D, row: 3162, expected_value: Males, label: sex} + - {column: E, row: 3162, expected_value: Self-employed, label: employment type} + - {column: J, row: 3162, expected_value: Value, label: measure} + - {column: L, row: 3163, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3164 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3164, expected_value: N92000002, label: geography} + - {column: D, row: 3164, expected_value: Males, label: sex} + - {column: E, row: 3164, expected_value: Self-employed, label: employment type} + - {column: J, row: 3164, expected_value: Value, label: measure} + - {column: L, row: 3165, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3166 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3166, expected_value: N92000002, label: geography} + - {column: D, row: 3166, expected_value: Males, label: sex} + - {column: E, row: 3166, expected_value: Self-employed, label: employment type} + - {column: J, row: 3166, expected_value: Value, label: measure} + - {column: L, row: 3167, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3168 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3168, expected_value: N92000002, label: geography} + - {column: D, row: 3168, expected_value: Males, label: sex} + - {column: E, row: 3168, expected_value: Self-employed, label: employment type} + - {column: J, row: 3168, expected_value: Value, label: measure} + - {column: L, row: 3169, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3099 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3099, expected_value: N92000002, label: geography} + - {column: D, row: 3099, expected_value: Males, label: sex} + - {column: E, row: 3099, expected_value: Self-employed, label: employment type} + - {column: J, row: 3099, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3101 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3101, expected_value: N92000002, label: geography} + - {column: D, row: 3101, expected_value: Males, label: sex} + - {column: E, row: 3101, expected_value: Self-employed, label: employment type} + - {column: J, row: 3101, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3103 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3103, expected_value: N92000002, label: geography} + - {column: D, row: 3103, expected_value: Males, label: sex} + - {column: E, row: 3103, expected_value: Self-employed, label: employment type} + - {column: J, row: 3103, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3105 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3105, expected_value: N92000002, label: geography} + - {column: D, row: 3105, expected_value: Males, label: sex} + - {column: E, row: 3105, expected_value: Self-employed, label: employment type} + - {column: J, row: 3105, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3107 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3107, expected_value: N92000002, label: geography} + - {column: D, row: 3107, expected_value: Males, label: sex} + - {column: E, row: 3107, expected_value: Self-employed, label: employment type} + - {column: J, row: 3107, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3109 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3109, expected_value: N92000002, label: geography} + - {column: D, row: 3109, expected_value: Males, label: sex} + - {column: E, row: 3109, expected_value: Self-employed, label: employment type} + - {column: J, row: 3109, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3111 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3111, expected_value: N92000002, label: geography} + - {column: D, row: 3111, expected_value: Males, label: sex} + - {column: E, row: 3111, expected_value: Self-employed, label: employment type} + - {column: J, row: 3111, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3115 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3115, expected_value: N92000002, label: geography} + - {column: D, row: 3115, expected_value: Males, label: sex} + - {column: E, row: 3115, expected_value: Self-employed, label: employment type} + - {column: J, row: 3115, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3117 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3117, expected_value: N92000002, label: geography} + - {column: D, row: 3117, expected_value: Males, label: sex} + - {column: E, row: 3117, expected_value: Self-employed, label: employment type} + - {column: J, row: 3117, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3125 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3125, expected_value: N92000002, label: geography} + - {column: D, row: 3125, expected_value: Males, label: sex} + - {column: E, row: 3125, expected_value: Self-employed, label: employment type} + - {column: J, row: 3125, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3127 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3127, expected_value: N92000002, label: geography} + - {column: D, row: 3127, expected_value: Males, label: sex} + - {column: E, row: 3127, expected_value: Self-employed, label: employment type} + - {column: J, row: 3127, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3135 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3135, expected_value: N92000002, label: geography} + - {column: D, row: 3135, expected_value: Males, label: sex} + - {column: E, row: 3135, expected_value: Self-employed, label: employment type} + - {column: J, row: 3135, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3137 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3137, expected_value: N92000002, label: geography} + - {column: D, row: 3137, expected_value: Males, label: sex} + - {column: E, row: 3137, expected_value: Self-employed, label: employment type} + - {column: J, row: 3137, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3139 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3139, expected_value: N92000002, label: geography} + - {column: D, row: 3139, expected_value: Males, label: sex} + - {column: E, row: 3139, expected_value: Self-employed, label: employment type} + - {column: J, row: 3139, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3141 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3141, expected_value: N92000002, label: geography} + - {column: D, row: 3141, expected_value: Males, label: sex} + - {column: E, row: 3141, expected_value: Self-employed, label: employment type} + - {column: J, row: 3141, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3143 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3143, expected_value: N92000002, label: geography} + - {column: D, row: 3143, expected_value: Males, label: sex} + - {column: E, row: 3143, expected_value: Self-employed, label: employment type} + - {column: J, row: 3143, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3153 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3153, expected_value: N92000002, label: geography} + - {column: D, row: 3153, expected_value: Males, label: sex} + - {column: E, row: 3153, expected_value: Self-employed, label: employment type} + - {column: J, row: 3153, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3155 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3155, expected_value: N92000002, label: geography} + - {column: D, row: 3155, expected_value: Males, label: sex} + - {column: E, row: 3155, expected_value: Self-employed, label: employment type} + - {column: J, row: 3155, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3159 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3159, expected_value: N92000002, label: geography} + - {column: D, row: 3159, expected_value: Males, label: sex} + - {column: E, row: 3159, expected_value: Self-employed, label: employment type} + - {column: J, row: 3159, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3163 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3163, expected_value: N92000002, label: geography} + - {column: D, row: 3163, expected_value: Males, label: sex} + - {column: E, row: 3163, expected_value: Self-employed, label: employment type} + - {column: J, row: 3163, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3165 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3165, expected_value: N92000002, label: geography} + - {column: D, row: 3165, expected_value: Males, label: sex} + - {column: E, row: 3165, expected_value: Self-employed, label: employment type} + - {column: J, row: 3165, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3167 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3167, expected_value: N92000002, label: geography} + - {column: D, row: 3167, expected_value: Males, label: sex} + - {column: E, row: 3167, expected_value: Self-employed, label: employment type} + - {column: J, row: 3167, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2738 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2738, expected_value: N92000002, label: geography} + - {column: D, row: 2738, expected_value: Females, label: sex} + - {column: E, row: 2738, expected_value: Total, label: employment type} + - {column: J, row: 2738, expected_value: Value, label: measure} + - {column: L, row: 2739, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2740 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2740, expected_value: N92000002, label: geography} + - {column: D, row: 2740, expected_value: Females, label: sex} + - {column: E, row: 2740, expected_value: Total, label: employment type} + - {column: J, row: 2740, expected_value: Value, label: measure} + - {column: L, row: 2741, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2742 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2742, expected_value: N92000002, label: geography} + - {column: D, row: 2742, expected_value: Females, label: sex} + - {column: E, row: 2742, expected_value: Total, label: employment type} + - {column: J, row: 2742, expected_value: Value, label: measure} + - {column: L, row: 2743, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2744 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2744, expected_value: N92000002, label: geography} + - {column: D, row: 2744, expected_value: Females, label: sex} + - {column: E, row: 2744, expected_value: Total, label: employment type} + - {column: J, row: 2744, expected_value: Value, label: measure} + - {column: L, row: 2745, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2746 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2746, expected_value: N92000002, label: geography} + - {column: D, row: 2746, expected_value: Females, label: sex} + - {column: E, row: 2746, expected_value: Total, label: employment type} + - {column: J, row: 2746, expected_value: Value, label: measure} + - {column: L, row: 2747, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2748 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2748, expected_value: N92000002, label: geography} + - {column: D, row: 2748, expected_value: Females, label: sex} + - {column: E, row: 2748, expected_value: Total, label: employment type} + - {column: J, row: 2748, expected_value: Value, label: measure} + - {column: L, row: 2749, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2750 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2750, expected_value: N92000002, label: geography} + - {column: D, row: 2750, expected_value: Females, label: sex} + - {column: E, row: 2750, expected_value: Total, label: employment type} + - {column: J, row: 2750, expected_value: Value, label: measure} + - {column: L, row: 2751, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2752 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2752, expected_value: N92000002, label: geography} + - {column: D, row: 2752, expected_value: Females, label: sex} + - {column: E, row: 2752, expected_value: Total, label: employment type} + - {column: J, row: 2752, expected_value: Value, label: measure} + - {column: L, row: 2753, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2754 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2754, expected_value: N92000002, label: geography} + - {column: D, row: 2754, expected_value: Females, label: sex} + - {column: E, row: 2754, expected_value: Total, label: employment type} + - {column: J, row: 2754, expected_value: Value, label: measure} + - {column: L, row: 2755, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2756 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2756, expected_value: N92000002, label: geography} + - {column: D, row: 2756, expected_value: Females, label: sex} + - {column: E, row: 2756, expected_value: Total, label: employment type} + - {column: J, row: 2756, expected_value: Value, label: measure} + - {column: L, row: 2757, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2758 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2758, expected_value: N92000002, label: geography} + - {column: D, row: 2758, expected_value: Females, label: sex} + - {column: E, row: 2758, expected_value: Total, label: employment type} + - {column: J, row: 2758, expected_value: Value, label: measure} + - {column: L, row: 2759, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2760 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2760, expected_value: N92000002, label: geography} + - {column: D, row: 2760, expected_value: Females, label: sex} + - {column: E, row: 2760, expected_value: Total, label: employment type} + - {column: J, row: 2760, expected_value: Value, label: measure} + - {column: L, row: 2761, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2762 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2762, expected_value: N92000002, label: geography} + - {column: D, row: 2762, expected_value: Females, label: sex} + - {column: E, row: 2762, expected_value: Total, label: employment type} + - {column: J, row: 2762, expected_value: Value, label: measure} + - {column: L, row: 2763, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2764 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2764, expected_value: N92000002, label: geography} + - {column: D, row: 2764, expected_value: Females, label: sex} + - {column: E, row: 2764, expected_value: Total, label: employment type} + - {column: J, row: 2764, expected_value: Value, label: measure} + - {column: L, row: 2765, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2766 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2766, expected_value: N92000002, label: geography} + - {column: D, row: 2766, expected_value: Females, label: sex} + - {column: E, row: 2766, expected_value: Total, label: employment type} + - {column: J, row: 2766, expected_value: Value, label: measure} + - {column: L, row: 2767, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2768 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2768, expected_value: N92000002, label: geography} + - {column: D, row: 2768, expected_value: Females, label: sex} + - {column: E, row: 2768, expected_value: Total, label: employment type} + - {column: J, row: 2768, expected_value: Value, label: measure} + - {column: L, row: 2769, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2770 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2770, expected_value: N92000002, label: geography} + - {column: D, row: 2770, expected_value: Females, label: sex} + - {column: E, row: 2770, expected_value: Total, label: employment type} + - {column: J, row: 2770, expected_value: Value, label: measure} + - {column: L, row: 2771, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2772 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2772, expected_value: N92000002, label: geography} + - {column: D, row: 2772, expected_value: Females, label: sex} + - {column: E, row: 2772, expected_value: Total, label: employment type} + - {column: J, row: 2772, expected_value: Value, label: measure} + - {column: L, row: 2773, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2774 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2774, expected_value: N92000002, label: geography} + - {column: D, row: 2774, expected_value: Females, label: sex} + - {column: E, row: 2774, expected_value: Total, label: employment type} + - {column: J, row: 2774, expected_value: Value, label: measure} + - {column: L, row: 2775, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2776 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2776, expected_value: N92000002, label: geography} + - {column: D, row: 2776, expected_value: Females, label: sex} + - {column: E, row: 2776, expected_value: Total, label: employment type} + - {column: J, row: 2776, expected_value: Value, label: measure} + - {column: L, row: 2777, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2778 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2778, expected_value: N92000002, label: geography} + - {column: D, row: 2778, expected_value: Females, label: sex} + - {column: E, row: 2778, expected_value: Total, label: employment type} + - {column: J, row: 2778, expected_value: Value, label: measure} + - {column: L, row: 2779, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2780 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2780, expected_value: N92000002, label: geography} + - {column: D, row: 2780, expected_value: Females, label: sex} + - {column: E, row: 2780, expected_value: Total, label: employment type} + - {column: J, row: 2780, expected_value: Value, label: measure} + - {column: L, row: 2781, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2782 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2782, expected_value: N92000002, label: geography} + - {column: D, row: 2782, expected_value: Females, label: sex} + - {column: E, row: 2782, expected_value: Total, label: employment type} + - {column: J, row: 2782, expected_value: Value, label: measure} + - {column: L, row: 2783, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2784 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2784, expected_value: N92000002, label: geography} + - {column: D, row: 2784, expected_value: Females, label: sex} + - {column: E, row: 2784, expected_value: Total, label: employment type} + - {column: J, row: 2784, expected_value: Value, label: measure} + - {column: L, row: 2785, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2786 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2786, expected_value: N92000002, label: geography} + - {column: D, row: 2786, expected_value: Females, label: sex} + - {column: E, row: 2786, expected_value: Total, label: employment type} + - {column: J, row: 2786, expected_value: Value, label: measure} + - {column: L, row: 2787, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2788 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2788, expected_value: N92000002, label: geography} + - {column: D, row: 2788, expected_value: Females, label: sex} + - {column: E, row: 2788, expected_value: Total, label: employment type} + - {column: J, row: 2788, expected_value: Value, label: measure} + - {column: L, row: 2789, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2792 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2792, expected_value: N92000002, label: geography} + - {column: D, row: 2792, expected_value: Females, label: sex} + - {column: E, row: 2792, expected_value: Total, label: employment type} + - {column: J, row: 2792, expected_value: Value, label: measure} + - {column: L, row: 2793, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2794 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2794, expected_value: N92000002, label: geography} + - {column: D, row: 2794, expected_value: Females, label: sex} + - {column: E, row: 2794, expected_value: Total, label: employment type} + - {column: J, row: 2794, expected_value: Value, label: measure} + - {column: L, row: 2795, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2796 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2796, expected_value: N92000002, label: geography} + - {column: D, row: 2796, expected_value: Females, label: sex} + - {column: E, row: 2796, expected_value: Total, label: employment type} + - {column: J, row: 2796, expected_value: Value, label: measure} + - {column: L, row: 2797, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2798 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2798, expected_value: N92000002, label: geography} + - {column: D, row: 2798, expected_value: Females, label: sex} + - {column: E, row: 2798, expected_value: Total, label: employment type} + - {column: J, row: 2798, expected_value: Value, label: measure} + - {column: L, row: 2799, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2800 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2800, expected_value: N92000002, label: geography} + - {column: D, row: 2800, expected_value: Females, label: sex} + - {column: E, row: 2800, expected_value: Total, label: employment type} + - {column: J, row: 2800, expected_value: Value, label: measure} + - {column: L, row: 2801, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2802 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2802, expected_value: N92000002, label: geography} + - {column: D, row: 2802, expected_value: Females, label: sex} + - {column: E, row: 2802, expected_value: Total, label: employment type} + - {column: J, row: 2802, expected_value: Value, label: measure} + - {column: L, row: 2803, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2804 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2804, expected_value: N92000002, label: geography} + - {column: D, row: 2804, expected_value: Females, label: sex} + - {column: E, row: 2804, expected_value: Total, label: employment type} + - {column: J, row: 2804, expected_value: Value, label: measure} + - {column: L, row: 2805, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2806 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2806, expected_value: N92000002, label: geography} + - {column: D, row: 2806, expected_value: Females, label: sex} + - {column: E, row: 2806, expected_value: Total, label: employment type} + - {column: J, row: 2806, expected_value: Value, label: measure} + - {column: L, row: 2807, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2808 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2808, expected_value: N92000002, label: geography} + - {column: D, row: 2808, expected_value: Females, label: sex} + - {column: E, row: 2808, expected_value: Total, label: employment type} + - {column: J, row: 2808, expected_value: Value, label: measure} + - {column: L, row: 2809, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2739 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2739, expected_value: N92000002, label: geography} + - {column: D, row: 2739, expected_value: Females, label: sex} + - {column: E, row: 2739, expected_value: Total, label: employment type} + - {column: J, row: 2739, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2741 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2741, expected_value: N92000002, label: geography} + - {column: D, row: 2741, expected_value: Females, label: sex} + - {column: E, row: 2741, expected_value: Total, label: employment type} + - {column: J, row: 2741, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2743 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2743, expected_value: N92000002, label: geography} + - {column: D, row: 2743, expected_value: Females, label: sex} + - {column: E, row: 2743, expected_value: Total, label: employment type} + - {column: J, row: 2743, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2745 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2745, expected_value: N92000002, label: geography} + - {column: D, row: 2745, expected_value: Females, label: sex} + - {column: E, row: 2745, expected_value: Total, label: employment type} + - {column: J, row: 2745, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2747 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2747, expected_value: N92000002, label: geography} + - {column: D, row: 2747, expected_value: Females, label: sex} + - {column: E, row: 2747, expected_value: Total, label: employment type} + - {column: J, row: 2747, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2749 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2749, expected_value: N92000002, label: geography} + - {column: D, row: 2749, expected_value: Females, label: sex} + - {column: E, row: 2749, expected_value: Total, label: employment type} + - {column: J, row: 2749, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2751 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2751, expected_value: N92000002, label: geography} + - {column: D, row: 2751, expected_value: Females, label: sex} + - {column: E, row: 2751, expected_value: Total, label: employment type} + - {column: J, row: 2751, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2753 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2753, expected_value: N92000002, label: geography} + - {column: D, row: 2753, expected_value: Females, label: sex} + - {column: E, row: 2753, expected_value: Total, label: employment type} + - {column: J, row: 2753, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2755 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2755, expected_value: N92000002, label: geography} + - {column: D, row: 2755, expected_value: Females, label: sex} + - {column: E, row: 2755, expected_value: Total, label: employment type} + - {column: J, row: 2755, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2757 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2757, expected_value: N92000002, label: geography} + - {column: D, row: 2757, expected_value: Females, label: sex} + - {column: E, row: 2757, expected_value: Total, label: employment type} + - {column: J, row: 2757, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2759 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2759, expected_value: N92000002, label: geography} + - {column: D, row: 2759, expected_value: Females, label: sex} + - {column: E, row: 2759, expected_value: Total, label: employment type} + - {column: J, row: 2759, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2761 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2761, expected_value: N92000002, label: geography} + - {column: D, row: 2761, expected_value: Females, label: sex} + - {column: E, row: 2761, expected_value: Total, label: employment type} + - {column: J, row: 2761, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2765 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2765, expected_value: N92000002, label: geography} + - {column: D, row: 2765, expected_value: Females, label: sex} + - {column: E, row: 2765, expected_value: Total, label: employment type} + - {column: J, row: 2765, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2767 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2767, expected_value: N92000002, label: geography} + - {column: D, row: 2767, expected_value: Females, label: sex} + - {column: E, row: 2767, expected_value: Total, label: employment type} + - {column: J, row: 2767, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2769 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2769, expected_value: N92000002, label: geography} + - {column: D, row: 2769, expected_value: Females, label: sex} + - {column: E, row: 2769, expected_value: Total, label: employment type} + - {column: J, row: 2769, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2771 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2771, expected_value: N92000002, label: geography} + - {column: D, row: 2771, expected_value: Females, label: sex} + - {column: E, row: 2771, expected_value: Total, label: employment type} + - {column: J, row: 2771, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2773 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2773, expected_value: N92000002, label: geography} + - {column: D, row: 2773, expected_value: Females, label: sex} + - {column: E, row: 2773, expected_value: Total, label: employment type} + - {column: J, row: 2773, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2775 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2775, expected_value: N92000002, label: geography} + - {column: D, row: 2775, expected_value: Females, label: sex} + - {column: E, row: 2775, expected_value: Total, label: employment type} + - {column: J, row: 2775, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2777 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2777, expected_value: N92000002, label: geography} + - {column: D, row: 2777, expected_value: Females, label: sex} + - {column: E, row: 2777, expected_value: Total, label: employment type} + - {column: J, row: 2777, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2783 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2783, expected_value: N92000002, label: geography} + - {column: D, row: 2783, expected_value: Females, label: sex} + - {column: E, row: 2783, expected_value: Total, label: employment type} + - {column: J, row: 2783, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2785 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2785, expected_value: N92000002, label: geography} + - {column: D, row: 2785, expected_value: Females, label: sex} + - {column: E, row: 2785, expected_value: Total, label: employment type} + - {column: J, row: 2785, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2787 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2787, expected_value: N92000002, label: geography} + - {column: D, row: 2787, expected_value: Females, label: sex} + - {column: E, row: 2787, expected_value: Total, label: employment type} + - {column: J, row: 2787, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2789 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2789, expected_value: N92000002, label: geography} + - {column: D, row: 2789, expected_value: Females, label: sex} + - {column: E, row: 2789, expected_value: Total, label: employment type} + - {column: J, row: 2789, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2793 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2793, expected_value: N92000002, label: geography} + - {column: D, row: 2793, expected_value: Females, label: sex} + - {column: E, row: 2793, expected_value: Total, label: employment type} + - {column: J, row: 2793, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2795 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2795, expected_value: N92000002, label: geography} + - {column: D, row: 2795, expected_value: Females, label: sex} + - {column: E, row: 2795, expected_value: Total, label: employment type} + - {column: J, row: 2795, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2797 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2797, expected_value: N92000002, label: geography} + - {column: D, row: 2797, expected_value: Females, label: sex} + - {column: E, row: 2797, expected_value: Total, label: employment type} + - {column: J, row: 2797, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2799 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2799, expected_value: N92000002, label: geography} + - {column: D, row: 2799, expected_value: Females, label: sex} + - {column: E, row: 2799, expected_value: Total, label: employment type} + - {column: J, row: 2799, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2801 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2801, expected_value: N92000002, label: geography} + - {column: D, row: 2801, expected_value: Females, label: sex} + - {column: E, row: 2801, expected_value: Total, label: employment type} + - {column: J, row: 2801, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2805 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2805, expected_value: N92000002, label: geography} + - {column: D, row: 2805, expected_value: Females, label: sex} + - {column: E, row: 2805, expected_value: Total, label: employment type} + - {column: J, row: 2805, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2807 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2807, expected_value: N92000002, label: geography} + - {column: D, row: 2807, expected_value: Females, label: sex} + - {column: E, row: 2807, expected_value: Total, label: employment type} + - {column: J, row: 2807, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2809 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2809, expected_value: N92000002, label: geography} + - {column: D, row: 2809, expected_value: Females, label: sex} + - {column: E, row: 2809, expected_value: Total, label: employment type} + - {column: J, row: 2809, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2954 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2954, expected_value: N92000002, label: geography} + - {column: D, row: 2954, expected_value: Females, label: sex} + - {column: E, row: 2954, expected_value: Employee, label: employment type} + - {column: J, row: 2954, expected_value: Value, label: measure} + - {column: L, row: 2955, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2956 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2956, expected_value: N92000002, label: geography} + - {column: D, row: 2956, expected_value: Females, label: sex} + - {column: E, row: 2956, expected_value: Employee, label: employment type} + - {column: J, row: 2956, expected_value: Value, label: measure} + - {column: L, row: 2957, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2958 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2958, expected_value: N92000002, label: geography} + - {column: D, row: 2958, expected_value: Females, label: sex} + - {column: E, row: 2958, expected_value: Employee, label: employment type} + - {column: J, row: 2958, expected_value: Value, label: measure} + - {column: L, row: 2959, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2960 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2960, expected_value: N92000002, label: geography} + - {column: D, row: 2960, expected_value: Females, label: sex} + - {column: E, row: 2960, expected_value: Employee, label: employment type} + - {column: J, row: 2960, expected_value: Value, label: measure} + - {column: L, row: 2961, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2962 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2962, expected_value: N92000002, label: geography} + - {column: D, row: 2962, expected_value: Females, label: sex} + - {column: E, row: 2962, expected_value: Employee, label: employment type} + - {column: J, row: 2962, expected_value: Value, label: measure} + - {column: L, row: 2963, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2964 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2964, expected_value: N92000002, label: geography} + - {column: D, row: 2964, expected_value: Females, label: sex} + - {column: E, row: 2964, expected_value: Employee, label: employment type} + - {column: J, row: 2964, expected_value: Value, label: measure} + - {column: L, row: 2965, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2966 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2966, expected_value: N92000002, label: geography} + - {column: D, row: 2966, expected_value: Females, label: sex} + - {column: E, row: 2966, expected_value: Employee, label: employment type} + - {column: J, row: 2966, expected_value: Value, label: measure} + - {column: L, row: 2967, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2968 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2968, expected_value: N92000002, label: geography} + - {column: D, row: 2968, expected_value: Females, label: sex} + - {column: E, row: 2968, expected_value: Employee, label: employment type} + - {column: J, row: 2968, expected_value: Value, label: measure} + - {column: L, row: 2969, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2970 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2970, expected_value: N92000002, label: geography} + - {column: D, row: 2970, expected_value: Females, label: sex} + - {column: E, row: 2970, expected_value: Employee, label: employment type} + - {column: J, row: 2970, expected_value: Value, label: measure} + - {column: L, row: 2971, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2972 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2972, expected_value: N92000002, label: geography} + - {column: D, row: 2972, expected_value: Females, label: sex} + - {column: E, row: 2972, expected_value: Employee, label: employment type} + - {column: J, row: 2972, expected_value: Value, label: measure} + - {column: L, row: 2973, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2974 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2974, expected_value: N92000002, label: geography} + - {column: D, row: 2974, expected_value: Females, label: sex} + - {column: E, row: 2974, expected_value: Employee, label: employment type} + - {column: J, row: 2974, expected_value: Value, label: measure} + - {column: L, row: 2975, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2976 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2976, expected_value: N92000002, label: geography} + - {column: D, row: 2976, expected_value: Females, label: sex} + - {column: E, row: 2976, expected_value: Employee, label: employment type} + - {column: J, row: 2976, expected_value: Value, label: measure} + - {column: L, row: 2977, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2978 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2978, expected_value: N92000002, label: geography} + - {column: D, row: 2978, expected_value: Females, label: sex} + - {column: E, row: 2978, expected_value: Employee, label: employment type} + - {column: J, row: 2978, expected_value: Value, label: measure} + - {column: L, row: 2979, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2980 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2980, expected_value: N92000002, label: geography} + - {column: D, row: 2980, expected_value: Females, label: sex} + - {column: E, row: 2980, expected_value: Employee, label: employment type} + - {column: J, row: 2980, expected_value: Value, label: measure} + - {column: L, row: 2981, expected_value: G, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2982 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2982, expected_value: N92000002, label: geography} + - {column: D, row: 2982, expected_value: Females, label: sex} + - {column: E, row: 2982, expected_value: Employee, label: employment type} + - {column: J, row: 2982, expected_value: Value, label: measure} + - {column: L, row: 2983, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2984 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2984, expected_value: N92000002, label: geography} + - {column: D, row: 2984, expected_value: Females, label: sex} + - {column: E, row: 2984, expected_value: Employee, label: employment type} + - {column: J, row: 2984, expected_value: Value, label: measure} + - {column: L, row: 2985, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2986 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2986, expected_value: N92000002, label: geography} + - {column: D, row: 2986, expected_value: Females, label: sex} + - {column: E, row: 2986, expected_value: Employee, label: employment type} + - {column: J, row: 2986, expected_value: Value, label: measure} + - {column: L, row: 2987, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2988 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2988, expected_value: N92000002, label: geography} + - {column: D, row: 2988, expected_value: Females, label: sex} + - {column: E, row: 2988, expected_value: Employee, label: employment type} + - {column: J, row: 2988, expected_value: Value, label: measure} + - {column: L, row: 2989, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2990 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2990, expected_value: N92000002, label: geography} + - {column: D, row: 2990, expected_value: Females, label: sex} + - {column: E, row: 2990, expected_value: Employee, label: employment type} + - {column: J, row: 2990, expected_value: Value, label: measure} + - {column: L, row: 2991, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2992 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2992, expected_value: N92000002, label: geography} + - {column: D, row: 2992, expected_value: Females, label: sex} + - {column: E, row: 2992, expected_value: Employee, label: employment type} + - {column: J, row: 2992, expected_value: Value, label: measure} + - {column: L, row: 2993, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2994 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2994, expected_value: N92000002, label: geography} + - {column: D, row: 2994, expected_value: Females, label: sex} + - {column: E, row: 2994, expected_value: Employee, label: employment type} + - {column: J, row: 2994, expected_value: Value, label: measure} + - {column: L, row: 2995, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2996 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2996, expected_value: N92000002, label: geography} + - {column: D, row: 2996, expected_value: Females, label: sex} + - {column: E, row: 2996, expected_value: Employee, label: employment type} + - {column: J, row: 2996, expected_value: Value, label: measure} + - {column: L, row: 2997, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2998 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2998, expected_value: N92000002, label: geography} + - {column: D, row: 2998, expected_value: Females, label: sex} + - {column: E, row: 2998, expected_value: Employee, label: employment type} + - {column: J, row: 2998, expected_value: Value, label: measure} + - {column: L, row: 2999, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3000 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3000, expected_value: N92000002, label: geography} + - {column: D, row: 3000, expected_value: Females, label: sex} + - {column: E, row: 3000, expected_value: Employee, label: employment type} + - {column: J, row: 3000, expected_value: Value, label: measure} + - {column: L, row: 3001, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3002 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3002, expected_value: N92000002, label: geography} + - {column: D, row: 3002, expected_value: Females, label: sex} + - {column: E, row: 3002, expected_value: Employee, label: employment type} + - {column: J, row: 3002, expected_value: Value, label: measure} + - {column: L, row: 3003, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3004 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3004, expected_value: N92000002, label: geography} + - {column: D, row: 3004, expected_value: Females, label: sex} + - {column: E, row: 3004, expected_value: Employee, label: employment type} + - {column: J, row: 3004, expected_value: Value, label: measure} + - {column: L, row: 3005, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3008 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3008, expected_value: N92000002, label: geography} + - {column: D, row: 3008, expected_value: Females, label: sex} + - {column: E, row: 3008, expected_value: Employee, label: employment type} + - {column: J, row: 3008, expected_value: Value, label: measure} + - {column: L, row: 3009, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3010 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3010, expected_value: N92000002, label: geography} + - {column: D, row: 3010, expected_value: Females, label: sex} + - {column: E, row: 3010, expected_value: Employee, label: employment type} + - {column: J, row: 3010, expected_value: Value, label: measure} + - {column: L, row: 3011, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3012 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3012, expected_value: N92000002, label: geography} + - {column: D, row: 3012, expected_value: Females, label: sex} + - {column: E, row: 3012, expected_value: Employee, label: employment type} + - {column: J, row: 3012, expected_value: Value, label: measure} + - {column: L, row: 3013, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3014 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3014, expected_value: N92000002, label: geography} + - {column: D, row: 3014, expected_value: Females, label: sex} + - {column: E, row: 3014, expected_value: Employee, label: employment type} + - {column: J, row: 3014, expected_value: Value, label: measure} + - {column: L, row: 3015, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3016 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3016, expected_value: N92000002, label: geography} + - {column: D, row: 3016, expected_value: Females, label: sex} + - {column: E, row: 3016, expected_value: Employee, label: employment type} + - {column: J, row: 3016, expected_value: Value, label: measure} + - {column: L, row: 3017, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3018 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3018, expected_value: N92000002, label: geography} + - {column: D, row: 3018, expected_value: Females, label: sex} + - {column: E, row: 3018, expected_value: Employee, label: employment type} + - {column: J, row: 3018, expected_value: Value, label: measure} + - {column: L, row: 3019, expected_value: F, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3020 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3020, expected_value: N92000002, label: geography} + - {column: D, row: 3020, expected_value: Females, label: sex} + - {column: E, row: 3020, expected_value: Employee, label: employment type} + - {column: J, row: 3020, expected_value: Value, label: measure} + - {column: L, row: 3021, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3022 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3022, expected_value: N92000002, label: geography} + - {column: D, row: 3022, expected_value: Females, label: sex} + - {column: E, row: 3022, expected_value: Employee, label: employment type} + - {column: J, row: 3022, expected_value: Value, label: measure} + - {column: L, row: 3023, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3024 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3024, expected_value: N92000002, label: geography} + - {column: D, row: 3024, expected_value: Females, label: sex} + - {column: E, row: 3024, expected_value: Employee, label: employment type} + - {column: J, row: 3024, expected_value: Value, label: measure} + - {column: L, row: 3025, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2955 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2955, expected_value: N92000002, label: geography} + - {column: D, row: 2955, expected_value: Females, label: sex} + - {column: E, row: 2955, expected_value: Employee, label: employment type} + - {column: J, row: 2955, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2957 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2957, expected_value: N92000002, label: geography} + - {column: D, row: 2957, expected_value: Females, label: sex} + - {column: E, row: 2957, expected_value: Employee, label: employment type} + - {column: J, row: 2957, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2959 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2959, expected_value: N92000002, label: geography} + - {column: D, row: 2959, expected_value: Females, label: sex} + - {column: E, row: 2959, expected_value: Employee, label: employment type} + - {column: J, row: 2959, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2961 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2961, expected_value: N92000002, label: geography} + - {column: D, row: 2961, expected_value: Females, label: sex} + - {column: E, row: 2961, expected_value: Employee, label: employment type} + - {column: J, row: 2961, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2963 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2963, expected_value: N92000002, label: geography} + - {column: D, row: 2963, expected_value: Females, label: sex} + - {column: E, row: 2963, expected_value: Employee, label: employment type} + - {column: J, row: 2963, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2965 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2965, expected_value: N92000002, label: geography} + - {column: D, row: 2965, expected_value: Females, label: sex} + - {column: E, row: 2965, expected_value: Employee, label: employment type} + - {column: J, row: 2965, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2967 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2967, expected_value: N92000002, label: geography} + - {column: D, row: 2967, expected_value: Females, label: sex} + - {column: E, row: 2967, expected_value: Employee, label: employment type} + - {column: J, row: 2967, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2969 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2969, expected_value: N92000002, label: geography} + - {column: D, row: 2969, expected_value: Females, label: sex} + - {column: E, row: 2969, expected_value: Employee, label: employment type} + - {column: J, row: 2969, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2971 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2971, expected_value: N92000002, label: geography} + - {column: D, row: 2971, expected_value: Females, label: sex} + - {column: E, row: 2971, expected_value: Employee, label: employment type} + - {column: J, row: 2971, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2973 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2973, expected_value: N92000002, label: geography} + - {column: D, row: 2973, expected_value: Females, label: sex} + - {column: E, row: 2973, expected_value: Employee, label: employment type} + - {column: J, row: 2973, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2975 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2975, expected_value: N92000002, label: geography} + - {column: D, row: 2975, expected_value: Females, label: sex} + - {column: E, row: 2975, expected_value: Employee, label: employment type} + - {column: J, row: 2975, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2977 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2977, expected_value: N92000002, label: geography} + - {column: D, row: 2977, expected_value: Females, label: sex} + - {column: E, row: 2977, expected_value: Employee, label: employment type} + - {column: J, row: 2977, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2983 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2983, expected_value: N92000002, label: geography} + - {column: D, row: 2983, expected_value: Females, label: sex} + - {column: E, row: 2983, expected_value: Employee, label: employment type} + - {column: J, row: 2983, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2985 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2985, expected_value: N92000002, label: geography} + - {column: D, row: 2985, expected_value: Females, label: sex} + - {column: E, row: 2985, expected_value: Employee, label: employment type} + - {column: J, row: 2985, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2987 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2987, expected_value: N92000002, label: geography} + - {column: D, row: 2987, expected_value: Females, label: sex} + - {column: E, row: 2987, expected_value: Employee, label: employment type} + - {column: J, row: 2987, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2989 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2989, expected_value: N92000002, label: geography} + - {column: D, row: 2989, expected_value: Females, label: sex} + - {column: E, row: 2989, expected_value: Employee, label: employment type} + - {column: J, row: 2989, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2991 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2991, expected_value: N92000002, label: geography} + - {column: D, row: 2991, expected_value: Females, label: sex} + - {column: E, row: 2991, expected_value: Employee, label: employment type} + - {column: J, row: 2991, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2999 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2999, expected_value: N92000002, label: geography} + - {column: D, row: 2999, expected_value: Females, label: sex} + - {column: E, row: 2999, expected_value: Employee, label: employment type} + - {column: J, row: 2999, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3001 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3001, expected_value: N92000002, label: geography} + - {column: D, row: 3001, expected_value: Females, label: sex} + - {column: E, row: 3001, expected_value: Employee, label: employment type} + - {column: J, row: 3001, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3003 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3003, expected_value: N92000002, label: geography} + - {column: D, row: 3003, expected_value: Females, label: sex} + - {column: E, row: 3003, expected_value: Employee, label: employment type} + - {column: J, row: 3003, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3005 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3005, expected_value: N92000002, label: geography} + - {column: D, row: 3005, expected_value: Females, label: sex} + - {column: E, row: 3005, expected_value: Employee, label: employment type} + - {column: J, row: 3005, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3009 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3009, expected_value: N92000002, label: geography} + - {column: D, row: 3009, expected_value: Females, label: sex} + - {column: E, row: 3009, expected_value: Employee, label: employment type} + - {column: J, row: 3009, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3011 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3011, expected_value: N92000002, label: geography} + - {column: D, row: 3011, expected_value: Females, label: sex} + - {column: E, row: 3011, expected_value: Employee, label: employment type} + - {column: J, row: 3011, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3013 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3013, expected_value: N92000002, label: geography} + - {column: D, row: 3013, expected_value: Females, label: sex} + - {column: E, row: 3013, expected_value: Employee, label: employment type} + - {column: J, row: 3013, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3015 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3015, expected_value: N92000002, label: geography} + - {column: D, row: 3015, expected_value: Females, label: sex} + - {column: E, row: 3015, expected_value: Employee, label: employment type} + - {column: J, row: 3015, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3017 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3017, expected_value: N92000002, label: geography} + - {column: D, row: 3017, expected_value: Females, label: sex} + - {column: E, row: 3017, expected_value: Employee, label: employment type} + - {column: J, row: 3017, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3021 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3021, expected_value: N92000002, label: geography} + - {column: D, row: 3021, expected_value: Females, label: sex} + - {column: E, row: 3021, expected_value: Employee, label: employment type} + - {column: J, row: 3021, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3023 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3023, expected_value: N92000002, label: geography} + - {column: D, row: 3023, expected_value: Females, label: sex} + - {column: E, row: 3023, expected_value: Employee, label: employment type} + - {column: J, row: 3023, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3025 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3025, expected_value: N92000002, label: geography} + - {column: D, row: 3025, expected_value: Females, label: sex} + - {column: E, row: 3025, expected_value: Employee, label: employment type} + - {column: J, row: 3025, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3170 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3170, expected_value: N92000002, label: geography} + - {column: D, row: 3170, expected_value: Females, label: sex} + - {column: E, row: 3170, expected_value: Self-employed, label: employment type} + - {column: J, row: 3170, expected_value: Value, label: measure} + - {column: L, row: 3171, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3172 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3172, expected_value: N92000002, label: geography} + - {column: D, row: 3172, expected_value: Females, label: sex} + - {column: E, row: 3172, expected_value: Self-employed, label: employment type} + - {column: J, row: 3172, expected_value: Value, label: measure} + - {column: L, row: 3173, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3174 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3174, expected_value: N92000002, label: geography} + - {column: D, row: 3174, expected_value: Females, label: sex} + - {column: E, row: 3174, expected_value: Self-employed, label: employment type} + - {column: J, row: 3174, expected_value: Value, label: measure} + - {column: L, row: 3175, expected_value: G, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3176 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3176, expected_value: N92000002, label: geography} + - {column: D, row: 3176, expected_value: Females, label: sex} + - {column: E, row: 3176, expected_value: Self-employed, label: employment type} + - {column: J, row: 3176, expected_value: Value, label: measure} + - {column: L, row: 3177, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3178 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3178, expected_value: N92000002, label: geography} + - {column: D, row: 3178, expected_value: Females, label: sex} + - {column: E, row: 3178, expected_value: Self-employed, label: employment type} + - {column: J, row: 3178, expected_value: Value, label: measure} + - {column: L, row: 3179, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3180 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3180, expected_value: N92000002, label: geography} + - {column: D, row: 3180, expected_value: Females, label: sex} + - {column: E, row: 3180, expected_value: Self-employed, label: employment type} + - {column: J, row: 3180, expected_value: Value, label: measure} + - {column: L, row: 3181, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3182 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3182, expected_value: N92000002, label: geography} + - {column: D, row: 3182, expected_value: Females, label: sex} + - {column: E, row: 3182, expected_value: Self-employed, label: employment type} + - {column: J, row: 3182, expected_value: Value, label: measure} + - {column: L, row: 3183, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3184 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3184, expected_value: N92000002, label: geography} + - {column: D, row: 3184, expected_value: Females, label: sex} + - {column: E, row: 3184, expected_value: Self-employed, label: employment type} + - {column: J, row: 3184, expected_value: Value, label: measure} + - {column: L, row: 3185, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3186 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3186, expected_value: N92000002, label: geography} + - {column: D, row: 3186, expected_value: Females, label: sex} + - {column: E, row: 3186, expected_value: Self-employed, label: employment type} + - {column: J, row: 3186, expected_value: Value, label: measure} + - {column: L, row: 3187, expected_value: G, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3188 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3188, expected_value: N92000002, label: geography} + - {column: D, row: 3188, expected_value: Females, label: sex} + - {column: E, row: 3188, expected_value: Self-employed, label: employment type} + - {column: J, row: 3188, expected_value: Value, label: measure} + - {column: L, row: 3189, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3196 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3196, expected_value: N92000002, label: geography} + - {column: D, row: 3196, expected_value: Females, label: sex} + - {column: E, row: 3196, expected_value: Self-employed, label: employment type} + - {column: J, row: 3196, expected_value: Value, label: measure} + - {column: L, row: 3197, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3198 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3198, expected_value: N92000002, label: geography} + - {column: D, row: 3198, expected_value: Females, label: sex} + - {column: E, row: 3198, expected_value: Self-employed, label: employment type} + - {column: J, row: 3198, expected_value: Value, label: measure} + - {column: L, row: 3199, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3206 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3206, expected_value: N92000002, label: geography} + - {column: D, row: 3206, expected_value: Females, label: sex} + - {column: E, row: 3206, expected_value: Self-employed, label: employment type} + - {column: J, row: 3206, expected_value: Value, label: measure} + - {column: L, row: 3207, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3208 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3208, expected_value: N92000002, label: geography} + - {column: D, row: 3208, expected_value: Females, label: sex} + - {column: E, row: 3208, expected_value: Self-employed, label: employment type} + - {column: J, row: 3208, expected_value: Value, label: measure} + - {column: L, row: 3209, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3214 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3214, expected_value: N92000002, label: geography} + - {column: D, row: 3214, expected_value: Females, label: sex} + - {column: E, row: 3214, expected_value: Self-employed, label: employment type} + - {column: J, row: 3214, expected_value: Value, label: measure} + - {column: L, row: 3215, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3216 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3216, expected_value: N92000002, label: geography} + - {column: D, row: 3216, expected_value: Females, label: sex} + - {column: E, row: 3216, expected_value: Self-employed, label: employment type} + - {column: J, row: 3216, expected_value: Value, label: measure} + - {column: L, row: 3217, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3218 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3218, expected_value: N92000002, label: geography} + - {column: D, row: 3218, expected_value: Females, label: sex} + - {column: E, row: 3218, expected_value: Self-employed, label: employment type} + - {column: J, row: 3218, expected_value: Value, label: measure} + - {column: L, row: 3219, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3220 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3220, expected_value: N92000002, label: geography} + - {column: D, row: 3220, expected_value: Females, label: sex} + - {column: E, row: 3220, expected_value: Self-employed, label: employment type} + - {column: J, row: 3220, expected_value: Value, label: measure} + - {column: L, row: 3221, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3230 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3230, expected_value: N92000002, label: geography} + - {column: D, row: 3230, expected_value: Females, label: sex} + - {column: E, row: 3230, expected_value: Self-employed, label: employment type} + - {column: J, row: 3230, expected_value: Value, label: measure} + - {column: L, row: 3231, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3234 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3234, expected_value: N92000002, label: geography} + - {column: D, row: 3234, expected_value: Females, label: sex} + - {column: E, row: 3234, expected_value: Self-employed, label: employment type} + - {column: J, row: 3234, expected_value: Value, label: measure} + - {column: L, row: 3235, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3236 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3236, expected_value: N92000002, label: geography} + - {column: D, row: 3236, expected_value: Females, label: sex} + - {column: E, row: 3236, expected_value: Self-employed, label: employment type} + - {column: J, row: 3236, expected_value: Value, label: measure} + - {column: L, row: 3237, expected_value: G, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3238 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3238, expected_value: N92000002, label: geography} + - {column: D, row: 3238, expected_value: Females, label: sex} + - {column: E, row: 3238, expected_value: Self-employed, label: employment type} + - {column: J, row: 3238, expected_value: Value, label: measure} + - {column: L, row: 3239, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3240 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3240, expected_value: N92000002, label: geography} + - {column: D, row: 3240, expected_value: Females, label: sex} + - {column: E, row: 3240, expected_value: Self-employed, label: employment type} + - {column: J, row: 3240, expected_value: Value, label: measure} + - {column: L, row: 3241, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.n92000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3171 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3171, expected_value: N92000002, label: geography} + - {column: D, row: 3171, expected_value: Females, label: sex} + - {column: E, row: 3171, expected_value: Self-employed, label: employment type} + - {column: J, row: 3171, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3173 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3173, expected_value: N92000002, label: geography} + - {column: D, row: 3173, expected_value: Females, label: sex} + - {column: E, row: 3173, expected_value: Self-employed, label: employment type} + - {column: J, row: 3173, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3177 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3177, expected_value: N92000002, label: geography} + - {column: D, row: 3177, expected_value: Females, label: sex} + - {column: E, row: 3177, expected_value: Self-employed, label: employment type} + - {column: J, row: 3177, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3179 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3179, expected_value: N92000002, label: geography} + - {column: D, row: 3179, expected_value: Females, label: sex} + - {column: E, row: 3179, expected_value: Self-employed, label: employment type} + - {column: J, row: 3179, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3183 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3183, expected_value: N92000002, label: geography} + - {column: D, row: 3183, expected_value: Females, label: sex} + - {column: E, row: 3183, expected_value: Self-employed, label: employment type} + - {column: J, row: 3183, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3189 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3189, expected_value: N92000002, label: geography} + - {column: D, row: 3189, expected_value: Females, label: sex} + - {column: E, row: 3189, expected_value: Self-employed, label: employment type} + - {column: J, row: 3189, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3197 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3197, expected_value: N92000002, label: geography} + - {column: D, row: 3197, expected_value: Females, label: sex} + - {column: E, row: 3197, expected_value: Self-employed, label: employment type} + - {column: J, row: 3197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3207 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3207, expected_value: N92000002, label: geography} + - {column: D, row: 3207, expected_value: Females, label: sex} + - {column: E, row: 3207, expected_value: Self-employed, label: employment type} + - {column: J, row: 3207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3217 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3217, expected_value: N92000002, label: geography} + - {column: D, row: 3217, expected_value: Females, label: sex} + - {column: E, row: 3217, expected_value: Self-employed, label: employment type} + - {column: J, row: 3217, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3219 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3219, expected_value: N92000002, label: geography} + - {column: D, row: 3219, expected_value: Females, label: sex} + - {column: E, row: 3219, expected_value: Self-employed, label: employment type} + - {column: J, row: 3219, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3221 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3221, expected_value: N92000002, label: geography} + - {column: D, row: 3221, expected_value: Females, label: sex} + - {column: E, row: 3221, expected_value: Self-employed, label: employment type} + - {column: J, row: 3221, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3242 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3242, expected_value: E12000001, label: geography} + - {column: D, row: 3242, expected_value: All persons, label: sex} + - {column: E, row: 3242, expected_value: Total, label: employment type} + - {column: J, row: 3242, expected_value: Value, label: measure} + - {column: L, row: 3243, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3244 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3244, expected_value: E12000001, label: geography} + - {column: D, row: 3244, expected_value: All persons, label: sex} + - {column: E, row: 3244, expected_value: Total, label: employment type} + - {column: J, row: 3244, expected_value: Value, label: measure} + - {column: L, row: 3245, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3246 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3246, expected_value: E12000001, label: geography} + - {column: D, row: 3246, expected_value: All persons, label: sex} + - {column: E, row: 3246, expected_value: Total, label: employment type} + - {column: J, row: 3246, expected_value: Value, label: measure} + - {column: L, row: 3247, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3248 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3248, expected_value: E12000001, label: geography} + - {column: D, row: 3248, expected_value: All persons, label: sex} + - {column: E, row: 3248, expected_value: Total, label: employment type} + - {column: J, row: 3248, expected_value: Value, label: measure} + - {column: L, row: 3249, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3250 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3250, expected_value: E12000001, label: geography} + - {column: D, row: 3250, expected_value: All persons, label: sex} + - {column: E, row: 3250, expected_value: Total, label: employment type} + - {column: J, row: 3250, expected_value: Value, label: measure} + - {column: L, row: 3251, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3252 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3252, expected_value: E12000001, label: geography} + - {column: D, row: 3252, expected_value: All persons, label: sex} + - {column: E, row: 3252, expected_value: Total, label: employment type} + - {column: J, row: 3252, expected_value: Value, label: measure} + - {column: L, row: 3253, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3254 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3254, expected_value: E12000001, label: geography} + - {column: D, row: 3254, expected_value: All persons, label: sex} + - {column: E, row: 3254, expected_value: Total, label: employment type} + - {column: J, row: 3254, expected_value: Value, label: measure} + - {column: L, row: 3255, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3256 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3256, expected_value: E12000001, label: geography} + - {column: D, row: 3256, expected_value: All persons, label: sex} + - {column: E, row: 3256, expected_value: Total, label: employment type} + - {column: J, row: 3256, expected_value: Value, label: measure} + - {column: L, row: 3257, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3258 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3258, expected_value: E12000001, label: geography} + - {column: D, row: 3258, expected_value: All persons, label: sex} + - {column: E, row: 3258, expected_value: Total, label: employment type} + - {column: J, row: 3258, expected_value: Value, label: measure} + - {column: L, row: 3259, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3260 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3260, expected_value: E12000001, label: geography} + - {column: D, row: 3260, expected_value: All persons, label: sex} + - {column: E, row: 3260, expected_value: Total, label: employment type} + - {column: J, row: 3260, expected_value: Value, label: measure} + - {column: L, row: 3261, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3262 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3262, expected_value: E12000001, label: geography} + - {column: D, row: 3262, expected_value: All persons, label: sex} + - {column: E, row: 3262, expected_value: Total, label: employment type} + - {column: J, row: 3262, expected_value: Value, label: measure} + - {column: L, row: 3263, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3264 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3264, expected_value: E12000001, label: geography} + - {column: D, row: 3264, expected_value: All persons, label: sex} + - {column: E, row: 3264, expected_value: Total, label: employment type} + - {column: J, row: 3264, expected_value: Value, label: measure} + - {column: L, row: 3265, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3266 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3266, expected_value: E12000001, label: geography} + - {column: D, row: 3266, expected_value: All persons, label: sex} + - {column: E, row: 3266, expected_value: Total, label: employment type} + - {column: J, row: 3266, expected_value: Value, label: measure} + - {column: L, row: 3267, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3268 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3268, expected_value: E12000001, label: geography} + - {column: D, row: 3268, expected_value: All persons, label: sex} + - {column: E, row: 3268, expected_value: Total, label: employment type} + - {column: J, row: 3268, expected_value: Value, label: measure} + - {column: L, row: 3269, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3270 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3270, expected_value: E12000001, label: geography} + - {column: D, row: 3270, expected_value: All persons, label: sex} + - {column: E, row: 3270, expected_value: Total, label: employment type} + - {column: J, row: 3270, expected_value: Value, label: measure} + - {column: L, row: 3271, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3272 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3272, expected_value: E12000001, label: geography} + - {column: D, row: 3272, expected_value: All persons, label: sex} + - {column: E, row: 3272, expected_value: Total, label: employment type} + - {column: J, row: 3272, expected_value: Value, label: measure} + - {column: L, row: 3273, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3274 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3274, expected_value: E12000001, label: geography} + - {column: D, row: 3274, expected_value: All persons, label: sex} + - {column: E, row: 3274, expected_value: Total, label: employment type} + - {column: J, row: 3274, expected_value: Value, label: measure} + - {column: L, row: 3275, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3276 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3276, expected_value: E12000001, label: geography} + - {column: D, row: 3276, expected_value: All persons, label: sex} + - {column: E, row: 3276, expected_value: Total, label: employment type} + - {column: J, row: 3276, expected_value: Value, label: measure} + - {column: L, row: 3277, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3278 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3278, expected_value: E12000001, label: geography} + - {column: D, row: 3278, expected_value: All persons, label: sex} + - {column: E, row: 3278, expected_value: Total, label: employment type} + - {column: J, row: 3278, expected_value: Value, label: measure} + - {column: L, row: 3279, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3280 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3280, expected_value: E12000001, label: geography} + - {column: D, row: 3280, expected_value: All persons, label: sex} + - {column: E, row: 3280, expected_value: Total, label: employment type} + - {column: J, row: 3280, expected_value: Value, label: measure} + - {column: L, row: 3281, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3282 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3282, expected_value: E12000001, label: geography} + - {column: D, row: 3282, expected_value: All persons, label: sex} + - {column: E, row: 3282, expected_value: Total, label: employment type} + - {column: J, row: 3282, expected_value: Value, label: measure} + - {column: L, row: 3283, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3284 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3284, expected_value: E12000001, label: geography} + - {column: D, row: 3284, expected_value: All persons, label: sex} + - {column: E, row: 3284, expected_value: Total, label: employment type} + - {column: J, row: 3284, expected_value: Value, label: measure} + - {column: L, row: 3285, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3286 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3286, expected_value: E12000001, label: geography} + - {column: D, row: 3286, expected_value: All persons, label: sex} + - {column: E, row: 3286, expected_value: Total, label: employment type} + - {column: J, row: 3286, expected_value: Value, label: measure} + - {column: L, row: 3287, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3288 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3288, expected_value: E12000001, label: geography} + - {column: D, row: 3288, expected_value: All persons, label: sex} + - {column: E, row: 3288, expected_value: Total, label: employment type} + - {column: J, row: 3288, expected_value: Value, label: measure} + - {column: L, row: 3289, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3290 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3290, expected_value: E12000001, label: geography} + - {column: D, row: 3290, expected_value: All persons, label: sex} + - {column: E, row: 3290, expected_value: Total, label: employment type} + - {column: J, row: 3290, expected_value: Value, label: measure} + - {column: L, row: 3291, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3292 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3292, expected_value: E12000001, label: geography} + - {column: D, row: 3292, expected_value: All persons, label: sex} + - {column: E, row: 3292, expected_value: Total, label: employment type} + - {column: J, row: 3292, expected_value: Value, label: measure} + - {column: L, row: 3293, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3294 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3294, expected_value: E12000001, label: geography} + - {column: D, row: 3294, expected_value: All persons, label: sex} + - {column: E, row: 3294, expected_value: Total, label: employment type} + - {column: J, row: 3294, expected_value: Value, label: measure} + - {column: L, row: 3295, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3296 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3296, expected_value: E12000001, label: geography} + - {column: D, row: 3296, expected_value: All persons, label: sex} + - {column: E, row: 3296, expected_value: Total, label: employment type} + - {column: J, row: 3296, expected_value: Value, label: measure} + - {column: L, row: 3297, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3298 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3298, expected_value: E12000001, label: geography} + - {column: D, row: 3298, expected_value: All persons, label: sex} + - {column: E, row: 3298, expected_value: Total, label: employment type} + - {column: J, row: 3298, expected_value: Value, label: measure} + - {column: L, row: 3299, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3300 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3300, expected_value: E12000001, label: geography} + - {column: D, row: 3300, expected_value: All persons, label: sex} + - {column: E, row: 3300, expected_value: Total, label: employment type} + - {column: J, row: 3300, expected_value: Value, label: measure} + - {column: L, row: 3301, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3302 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3302, expected_value: E12000001, label: geography} + - {column: D, row: 3302, expected_value: All persons, label: sex} + - {column: E, row: 3302, expected_value: Total, label: employment type} + - {column: J, row: 3302, expected_value: Value, label: measure} + - {column: L, row: 3303, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3304 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3304, expected_value: E12000001, label: geography} + - {column: D, row: 3304, expected_value: All persons, label: sex} + - {column: E, row: 3304, expected_value: Total, label: employment type} + - {column: J, row: 3304, expected_value: Value, label: measure} + - {column: L, row: 3305, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3306 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3306, expected_value: E12000001, label: geography} + - {column: D, row: 3306, expected_value: All persons, label: sex} + - {column: E, row: 3306, expected_value: Total, label: employment type} + - {column: J, row: 3306, expected_value: Value, label: measure} + - {column: L, row: 3307, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3308 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3308, expected_value: E12000001, label: geography} + - {column: D, row: 3308, expected_value: All persons, label: sex} + - {column: E, row: 3308, expected_value: Total, label: employment type} + - {column: J, row: 3308, expected_value: Value, label: measure} + - {column: L, row: 3309, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3310 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3310, expected_value: E12000001, label: geography} + - {column: D, row: 3310, expected_value: All persons, label: sex} + - {column: E, row: 3310, expected_value: Total, label: employment type} + - {column: J, row: 3310, expected_value: Value, label: measure} + - {column: L, row: 3311, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3312 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3312, expected_value: E12000001, label: geography} + - {column: D, row: 3312, expected_value: All persons, label: sex} + - {column: E, row: 3312, expected_value: Total, label: employment type} + - {column: J, row: 3312, expected_value: Value, label: measure} + - {column: L, row: 3313, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3243 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3243, expected_value: E12000001, label: geography} + - {column: D, row: 3243, expected_value: All persons, label: sex} + - {column: E, row: 3243, expected_value: Total, label: employment type} + - {column: J, row: 3243, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3245 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3245, expected_value: E12000001, label: geography} + - {column: D, row: 3245, expected_value: All persons, label: sex} + - {column: E, row: 3245, expected_value: Total, label: employment type} + - {column: J, row: 3245, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3247 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3247, expected_value: E12000001, label: geography} + - {column: D, row: 3247, expected_value: All persons, label: sex} + - {column: E, row: 3247, expected_value: Total, label: employment type} + - {column: J, row: 3247, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3249 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3249, expected_value: E12000001, label: geography} + - {column: D, row: 3249, expected_value: All persons, label: sex} + - {column: E, row: 3249, expected_value: Total, label: employment type} + - {column: J, row: 3249, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3251 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3251, expected_value: E12000001, label: geography} + - {column: D, row: 3251, expected_value: All persons, label: sex} + - {column: E, row: 3251, expected_value: Total, label: employment type} + - {column: J, row: 3251, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3253 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3253, expected_value: E12000001, label: geography} + - {column: D, row: 3253, expected_value: All persons, label: sex} + - {column: E, row: 3253, expected_value: Total, label: employment type} + - {column: J, row: 3253, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3255 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3255, expected_value: E12000001, label: geography} + - {column: D, row: 3255, expected_value: All persons, label: sex} + - {column: E, row: 3255, expected_value: Total, label: employment type} + - {column: J, row: 3255, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3257 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3257, expected_value: E12000001, label: geography} + - {column: D, row: 3257, expected_value: All persons, label: sex} + - {column: E, row: 3257, expected_value: Total, label: employment type} + - {column: J, row: 3257, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3259 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3259, expected_value: E12000001, label: geography} + - {column: D, row: 3259, expected_value: All persons, label: sex} + - {column: E, row: 3259, expected_value: Total, label: employment type} + - {column: J, row: 3259, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3261 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3261, expected_value: E12000001, label: geography} + - {column: D, row: 3261, expected_value: All persons, label: sex} + - {column: E, row: 3261, expected_value: Total, label: employment type} + - {column: J, row: 3261, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3263 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3263, expected_value: E12000001, label: geography} + - {column: D, row: 3263, expected_value: All persons, label: sex} + - {column: E, row: 3263, expected_value: Total, label: employment type} + - {column: J, row: 3263, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3265 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3265, expected_value: E12000001, label: geography} + - {column: D, row: 3265, expected_value: All persons, label: sex} + - {column: E, row: 3265, expected_value: Total, label: employment type} + - {column: J, row: 3265, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3267 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3267, expected_value: E12000001, label: geography} + - {column: D, row: 3267, expected_value: All persons, label: sex} + - {column: E, row: 3267, expected_value: Total, label: employment type} + - {column: J, row: 3267, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3269 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3269, expected_value: E12000001, label: geography} + - {column: D, row: 3269, expected_value: All persons, label: sex} + - {column: E, row: 3269, expected_value: Total, label: employment type} + - {column: J, row: 3269, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3271 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3271, expected_value: E12000001, label: geography} + - {column: D, row: 3271, expected_value: All persons, label: sex} + - {column: E, row: 3271, expected_value: Total, label: employment type} + - {column: J, row: 3271, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3273 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3273, expected_value: E12000001, label: geography} + - {column: D, row: 3273, expected_value: All persons, label: sex} + - {column: E, row: 3273, expected_value: Total, label: employment type} + - {column: J, row: 3273, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3275 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3275, expected_value: E12000001, label: geography} + - {column: D, row: 3275, expected_value: All persons, label: sex} + - {column: E, row: 3275, expected_value: Total, label: employment type} + - {column: J, row: 3275, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3277 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3277, expected_value: E12000001, label: geography} + - {column: D, row: 3277, expected_value: All persons, label: sex} + - {column: E, row: 3277, expected_value: Total, label: employment type} + - {column: J, row: 3277, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3279 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3279, expected_value: E12000001, label: geography} + - {column: D, row: 3279, expected_value: All persons, label: sex} + - {column: E, row: 3279, expected_value: Total, label: employment type} + - {column: J, row: 3279, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3281 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3281, expected_value: E12000001, label: geography} + - {column: D, row: 3281, expected_value: All persons, label: sex} + - {column: E, row: 3281, expected_value: Total, label: employment type} + - {column: J, row: 3281, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3283 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3283, expected_value: E12000001, label: geography} + - {column: D, row: 3283, expected_value: All persons, label: sex} + - {column: E, row: 3283, expected_value: Total, label: employment type} + - {column: J, row: 3283, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3285 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3285, expected_value: E12000001, label: geography} + - {column: D, row: 3285, expected_value: All persons, label: sex} + - {column: E, row: 3285, expected_value: Total, label: employment type} + - {column: J, row: 3285, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3287 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3287, expected_value: E12000001, label: geography} + - {column: D, row: 3287, expected_value: All persons, label: sex} + - {column: E, row: 3287, expected_value: Total, label: employment type} + - {column: J, row: 3287, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3289 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3289, expected_value: E12000001, label: geography} + - {column: D, row: 3289, expected_value: All persons, label: sex} + - {column: E, row: 3289, expected_value: Total, label: employment type} + - {column: J, row: 3289, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3291 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3291, expected_value: E12000001, label: geography} + - {column: D, row: 3291, expected_value: All persons, label: sex} + - {column: E, row: 3291, expected_value: Total, label: employment type} + - {column: J, row: 3291, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3293 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3293, expected_value: E12000001, label: geography} + - {column: D, row: 3293, expected_value: All persons, label: sex} + - {column: E, row: 3293, expected_value: Total, label: employment type} + - {column: J, row: 3293, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3297 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3297, expected_value: E12000001, label: geography} + - {column: D, row: 3297, expected_value: All persons, label: sex} + - {column: E, row: 3297, expected_value: Total, label: employment type} + - {column: J, row: 3297, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3299 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3299, expected_value: E12000001, label: geography} + - {column: D, row: 3299, expected_value: All persons, label: sex} + - {column: E, row: 3299, expected_value: Total, label: employment type} + - {column: J, row: 3299, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3301 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3301, expected_value: E12000001, label: geography} + - {column: D, row: 3301, expected_value: All persons, label: sex} + - {column: E, row: 3301, expected_value: Total, label: employment type} + - {column: J, row: 3301, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3303 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3303, expected_value: E12000001, label: geography} + - {column: D, row: 3303, expected_value: All persons, label: sex} + - {column: E, row: 3303, expected_value: Total, label: employment type} + - {column: J, row: 3303, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3305 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3305, expected_value: E12000001, label: geography} + - {column: D, row: 3305, expected_value: All persons, label: sex} + - {column: E, row: 3305, expected_value: Total, label: employment type} + - {column: J, row: 3305, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3307 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3307, expected_value: E12000001, label: geography} + - {column: D, row: 3307, expected_value: All persons, label: sex} + - {column: E, row: 3307, expected_value: Total, label: employment type} + - {column: J, row: 3307, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3309 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3309, expected_value: E12000001, label: geography} + - {column: D, row: 3309, expected_value: All persons, label: sex} + - {column: E, row: 3309, expected_value: Total, label: employment type} + - {column: J, row: 3309, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3311 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3311, expected_value: E12000001, label: geography} + - {column: D, row: 3311, expected_value: All persons, label: sex} + - {column: E, row: 3311, expected_value: Total, label: employment type} + - {column: J, row: 3311, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3313 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3313, expected_value: E12000001, label: geography} + - {column: D, row: 3313, expected_value: All persons, label: sex} + - {column: E, row: 3313, expected_value: Total, label: employment type} + - {column: J, row: 3313, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3458 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3458, expected_value: E12000001, label: geography} + - {column: D, row: 3458, expected_value: All persons, label: sex} + - {column: E, row: 3458, expected_value: Employee, label: employment type} + - {column: J, row: 3458, expected_value: Value, label: measure} + - {column: L, row: 3459, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3460 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3460, expected_value: E12000001, label: geography} + - {column: D, row: 3460, expected_value: All persons, label: sex} + - {column: E, row: 3460, expected_value: Employee, label: employment type} + - {column: J, row: 3460, expected_value: Value, label: measure} + - {column: L, row: 3461, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3462 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3462, expected_value: E12000001, label: geography} + - {column: D, row: 3462, expected_value: All persons, label: sex} + - {column: E, row: 3462, expected_value: Employee, label: employment type} + - {column: J, row: 3462, expected_value: Value, label: measure} + - {column: L, row: 3463, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3464 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3464, expected_value: E12000001, label: geography} + - {column: D, row: 3464, expected_value: All persons, label: sex} + - {column: E, row: 3464, expected_value: Employee, label: employment type} + - {column: J, row: 3464, expected_value: Value, label: measure} + - {column: L, row: 3465, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3466 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3466, expected_value: E12000001, label: geography} + - {column: D, row: 3466, expected_value: All persons, label: sex} + - {column: E, row: 3466, expected_value: Employee, label: employment type} + - {column: J, row: 3466, expected_value: Value, label: measure} + - {column: L, row: 3467, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3468 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3468, expected_value: E12000001, label: geography} + - {column: D, row: 3468, expected_value: All persons, label: sex} + - {column: E, row: 3468, expected_value: Employee, label: employment type} + - {column: J, row: 3468, expected_value: Value, label: measure} + - {column: L, row: 3469, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3470 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3470, expected_value: E12000001, label: geography} + - {column: D, row: 3470, expected_value: All persons, label: sex} + - {column: E, row: 3470, expected_value: Employee, label: employment type} + - {column: J, row: 3470, expected_value: Value, label: measure} + - {column: L, row: 3471, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3472 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3472, expected_value: E12000001, label: geography} + - {column: D, row: 3472, expected_value: All persons, label: sex} + - {column: E, row: 3472, expected_value: Employee, label: employment type} + - {column: J, row: 3472, expected_value: Value, label: measure} + - {column: L, row: 3473, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3474 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3474, expected_value: E12000001, label: geography} + - {column: D, row: 3474, expected_value: All persons, label: sex} + - {column: E, row: 3474, expected_value: Employee, label: employment type} + - {column: J, row: 3474, expected_value: Value, label: measure} + - {column: L, row: 3475, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3476 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3476, expected_value: E12000001, label: geography} + - {column: D, row: 3476, expected_value: All persons, label: sex} + - {column: E, row: 3476, expected_value: Employee, label: employment type} + - {column: J, row: 3476, expected_value: Value, label: measure} + - {column: L, row: 3477, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3478 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3478, expected_value: E12000001, label: geography} + - {column: D, row: 3478, expected_value: All persons, label: sex} + - {column: E, row: 3478, expected_value: Employee, label: employment type} + - {column: J, row: 3478, expected_value: Value, label: measure} + - {column: L, row: 3479, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3480 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3480, expected_value: E12000001, label: geography} + - {column: D, row: 3480, expected_value: All persons, label: sex} + - {column: E, row: 3480, expected_value: Employee, label: employment type} + - {column: J, row: 3480, expected_value: Value, label: measure} + - {column: L, row: 3481, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3482 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3482, expected_value: E12000001, label: geography} + - {column: D, row: 3482, expected_value: All persons, label: sex} + - {column: E, row: 3482, expected_value: Employee, label: employment type} + - {column: J, row: 3482, expected_value: Value, label: measure} + - {column: L, row: 3483, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3484 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3484, expected_value: E12000001, label: geography} + - {column: D, row: 3484, expected_value: All persons, label: sex} + - {column: E, row: 3484, expected_value: Employee, label: employment type} + - {column: J, row: 3484, expected_value: Value, label: measure} + - {column: L, row: 3485, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3486 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3486, expected_value: E12000001, label: geography} + - {column: D, row: 3486, expected_value: All persons, label: sex} + - {column: E, row: 3486, expected_value: Employee, label: employment type} + - {column: J, row: 3486, expected_value: Value, label: measure} + - {column: L, row: 3487, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3488 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3488, expected_value: E12000001, label: geography} + - {column: D, row: 3488, expected_value: All persons, label: sex} + - {column: E, row: 3488, expected_value: Employee, label: employment type} + - {column: J, row: 3488, expected_value: Value, label: measure} + - {column: L, row: 3489, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3490 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3490, expected_value: E12000001, label: geography} + - {column: D, row: 3490, expected_value: All persons, label: sex} + - {column: E, row: 3490, expected_value: Employee, label: employment type} + - {column: J, row: 3490, expected_value: Value, label: measure} + - {column: L, row: 3491, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3492 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3492, expected_value: E12000001, label: geography} + - {column: D, row: 3492, expected_value: All persons, label: sex} + - {column: E, row: 3492, expected_value: Employee, label: employment type} + - {column: J, row: 3492, expected_value: Value, label: measure} + - {column: L, row: 3493, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3494 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3494, expected_value: E12000001, label: geography} + - {column: D, row: 3494, expected_value: All persons, label: sex} + - {column: E, row: 3494, expected_value: Employee, label: employment type} + - {column: J, row: 3494, expected_value: Value, label: measure} + - {column: L, row: 3495, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3496 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3496, expected_value: E12000001, label: geography} + - {column: D, row: 3496, expected_value: All persons, label: sex} + - {column: E, row: 3496, expected_value: Employee, label: employment type} + - {column: J, row: 3496, expected_value: Value, label: measure} + - {column: L, row: 3497, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3498 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3498, expected_value: E12000001, label: geography} + - {column: D, row: 3498, expected_value: All persons, label: sex} + - {column: E, row: 3498, expected_value: Employee, label: employment type} + - {column: J, row: 3498, expected_value: Value, label: measure} + - {column: L, row: 3499, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3500 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3500, expected_value: E12000001, label: geography} + - {column: D, row: 3500, expected_value: All persons, label: sex} + - {column: E, row: 3500, expected_value: Employee, label: employment type} + - {column: J, row: 3500, expected_value: Value, label: measure} + - {column: L, row: 3501, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3502 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3502, expected_value: E12000001, label: geography} + - {column: D, row: 3502, expected_value: All persons, label: sex} + - {column: E, row: 3502, expected_value: Employee, label: employment type} + - {column: J, row: 3502, expected_value: Value, label: measure} + - {column: L, row: 3503, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3504 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3504, expected_value: E12000001, label: geography} + - {column: D, row: 3504, expected_value: All persons, label: sex} + - {column: E, row: 3504, expected_value: Employee, label: employment type} + - {column: J, row: 3504, expected_value: Value, label: measure} + - {column: L, row: 3505, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3506 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3506, expected_value: E12000001, label: geography} + - {column: D, row: 3506, expected_value: All persons, label: sex} + - {column: E, row: 3506, expected_value: Employee, label: employment type} + - {column: J, row: 3506, expected_value: Value, label: measure} + - {column: L, row: 3507, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3508 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3508, expected_value: E12000001, label: geography} + - {column: D, row: 3508, expected_value: All persons, label: sex} + - {column: E, row: 3508, expected_value: Employee, label: employment type} + - {column: J, row: 3508, expected_value: Value, label: measure} + - {column: L, row: 3509, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3510 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3510, expected_value: E12000001, label: geography} + - {column: D, row: 3510, expected_value: All persons, label: sex} + - {column: E, row: 3510, expected_value: Employee, label: employment type} + - {column: J, row: 3510, expected_value: Value, label: measure} + - {column: L, row: 3511, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3512 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3512, expected_value: E12000001, label: geography} + - {column: D, row: 3512, expected_value: All persons, label: sex} + - {column: E, row: 3512, expected_value: Employee, label: employment type} + - {column: J, row: 3512, expected_value: Value, label: measure} + - {column: L, row: 3513, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3514 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3514, expected_value: E12000001, label: geography} + - {column: D, row: 3514, expected_value: All persons, label: sex} + - {column: E, row: 3514, expected_value: Employee, label: employment type} + - {column: J, row: 3514, expected_value: Value, label: measure} + - {column: L, row: 3515, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3516 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3516, expected_value: E12000001, label: geography} + - {column: D, row: 3516, expected_value: All persons, label: sex} + - {column: E, row: 3516, expected_value: Employee, label: employment type} + - {column: J, row: 3516, expected_value: Value, label: measure} + - {column: L, row: 3517, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3518 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3518, expected_value: E12000001, label: geography} + - {column: D, row: 3518, expected_value: All persons, label: sex} + - {column: E, row: 3518, expected_value: Employee, label: employment type} + - {column: J, row: 3518, expected_value: Value, label: measure} + - {column: L, row: 3519, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3520 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3520, expected_value: E12000001, label: geography} + - {column: D, row: 3520, expected_value: All persons, label: sex} + - {column: E, row: 3520, expected_value: Employee, label: employment type} + - {column: J, row: 3520, expected_value: Value, label: measure} + - {column: L, row: 3521, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3522 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3522, expected_value: E12000001, label: geography} + - {column: D, row: 3522, expected_value: All persons, label: sex} + - {column: E, row: 3522, expected_value: Employee, label: employment type} + - {column: J, row: 3522, expected_value: Value, label: measure} + - {column: L, row: 3523, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3524 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3524, expected_value: E12000001, label: geography} + - {column: D, row: 3524, expected_value: All persons, label: sex} + - {column: E, row: 3524, expected_value: Employee, label: employment type} + - {column: J, row: 3524, expected_value: Value, label: measure} + - {column: L, row: 3525, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3526 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3526, expected_value: E12000001, label: geography} + - {column: D, row: 3526, expected_value: All persons, label: sex} + - {column: E, row: 3526, expected_value: Employee, label: employment type} + - {column: J, row: 3526, expected_value: Value, label: measure} + - {column: L, row: 3527, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3528 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3528, expected_value: E12000001, label: geography} + - {column: D, row: 3528, expected_value: All persons, label: sex} + - {column: E, row: 3528, expected_value: Employee, label: employment type} + - {column: J, row: 3528, expected_value: Value, label: measure} + - {column: L, row: 3529, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3459 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3459, expected_value: E12000001, label: geography} + - {column: D, row: 3459, expected_value: All persons, label: sex} + - {column: E, row: 3459, expected_value: Employee, label: employment type} + - {column: J, row: 3459, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3461 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3461, expected_value: E12000001, label: geography} + - {column: D, row: 3461, expected_value: All persons, label: sex} + - {column: E, row: 3461, expected_value: Employee, label: employment type} + - {column: J, row: 3461, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3463 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3463, expected_value: E12000001, label: geography} + - {column: D, row: 3463, expected_value: All persons, label: sex} + - {column: E, row: 3463, expected_value: Employee, label: employment type} + - {column: J, row: 3463, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3465 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3465, expected_value: E12000001, label: geography} + - {column: D, row: 3465, expected_value: All persons, label: sex} + - {column: E, row: 3465, expected_value: Employee, label: employment type} + - {column: J, row: 3465, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3467 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3467, expected_value: E12000001, label: geography} + - {column: D, row: 3467, expected_value: All persons, label: sex} + - {column: E, row: 3467, expected_value: Employee, label: employment type} + - {column: J, row: 3467, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3469 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3469, expected_value: E12000001, label: geography} + - {column: D, row: 3469, expected_value: All persons, label: sex} + - {column: E, row: 3469, expected_value: Employee, label: employment type} + - {column: J, row: 3469, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3471 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3471, expected_value: E12000001, label: geography} + - {column: D, row: 3471, expected_value: All persons, label: sex} + - {column: E, row: 3471, expected_value: Employee, label: employment type} + - {column: J, row: 3471, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3473 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3473, expected_value: E12000001, label: geography} + - {column: D, row: 3473, expected_value: All persons, label: sex} + - {column: E, row: 3473, expected_value: Employee, label: employment type} + - {column: J, row: 3473, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3475 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3475, expected_value: E12000001, label: geography} + - {column: D, row: 3475, expected_value: All persons, label: sex} + - {column: E, row: 3475, expected_value: Employee, label: employment type} + - {column: J, row: 3475, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3477 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3477, expected_value: E12000001, label: geography} + - {column: D, row: 3477, expected_value: All persons, label: sex} + - {column: E, row: 3477, expected_value: Employee, label: employment type} + - {column: J, row: 3477, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3479 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3479, expected_value: E12000001, label: geography} + - {column: D, row: 3479, expected_value: All persons, label: sex} + - {column: E, row: 3479, expected_value: Employee, label: employment type} + - {column: J, row: 3479, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3481 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3481, expected_value: E12000001, label: geography} + - {column: D, row: 3481, expected_value: All persons, label: sex} + - {column: E, row: 3481, expected_value: Employee, label: employment type} + - {column: J, row: 3481, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3483 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3483, expected_value: E12000001, label: geography} + - {column: D, row: 3483, expected_value: All persons, label: sex} + - {column: E, row: 3483, expected_value: Employee, label: employment type} + - {column: J, row: 3483, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3485 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3485, expected_value: E12000001, label: geography} + - {column: D, row: 3485, expected_value: All persons, label: sex} + - {column: E, row: 3485, expected_value: Employee, label: employment type} + - {column: J, row: 3485, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3487 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3487, expected_value: E12000001, label: geography} + - {column: D, row: 3487, expected_value: All persons, label: sex} + - {column: E, row: 3487, expected_value: Employee, label: employment type} + - {column: J, row: 3487, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3489 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3489, expected_value: E12000001, label: geography} + - {column: D, row: 3489, expected_value: All persons, label: sex} + - {column: E, row: 3489, expected_value: Employee, label: employment type} + - {column: J, row: 3489, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3491 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3491, expected_value: E12000001, label: geography} + - {column: D, row: 3491, expected_value: All persons, label: sex} + - {column: E, row: 3491, expected_value: Employee, label: employment type} + - {column: J, row: 3491, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3493 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3493, expected_value: E12000001, label: geography} + - {column: D, row: 3493, expected_value: All persons, label: sex} + - {column: E, row: 3493, expected_value: Employee, label: employment type} + - {column: J, row: 3493, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3495 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3495, expected_value: E12000001, label: geography} + - {column: D, row: 3495, expected_value: All persons, label: sex} + - {column: E, row: 3495, expected_value: Employee, label: employment type} + - {column: J, row: 3495, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3497 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3497, expected_value: E12000001, label: geography} + - {column: D, row: 3497, expected_value: All persons, label: sex} + - {column: E, row: 3497, expected_value: Employee, label: employment type} + - {column: J, row: 3497, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3499 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3499, expected_value: E12000001, label: geography} + - {column: D, row: 3499, expected_value: All persons, label: sex} + - {column: E, row: 3499, expected_value: Employee, label: employment type} + - {column: J, row: 3499, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3501 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3501, expected_value: E12000001, label: geography} + - {column: D, row: 3501, expected_value: All persons, label: sex} + - {column: E, row: 3501, expected_value: Employee, label: employment type} + - {column: J, row: 3501, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3503 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3503, expected_value: E12000001, label: geography} + - {column: D, row: 3503, expected_value: All persons, label: sex} + - {column: E, row: 3503, expected_value: Employee, label: employment type} + - {column: J, row: 3503, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3505 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3505, expected_value: E12000001, label: geography} + - {column: D, row: 3505, expected_value: All persons, label: sex} + - {column: E, row: 3505, expected_value: Employee, label: employment type} + - {column: J, row: 3505, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3507 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3507, expected_value: E12000001, label: geography} + - {column: D, row: 3507, expected_value: All persons, label: sex} + - {column: E, row: 3507, expected_value: Employee, label: employment type} + - {column: J, row: 3507, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3509 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3509, expected_value: E12000001, label: geography} + - {column: D, row: 3509, expected_value: All persons, label: sex} + - {column: E, row: 3509, expected_value: Employee, label: employment type} + - {column: J, row: 3509, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3513 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3513, expected_value: E12000001, label: geography} + - {column: D, row: 3513, expected_value: All persons, label: sex} + - {column: E, row: 3513, expected_value: Employee, label: employment type} + - {column: J, row: 3513, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3515 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3515, expected_value: E12000001, label: geography} + - {column: D, row: 3515, expected_value: All persons, label: sex} + - {column: E, row: 3515, expected_value: Employee, label: employment type} + - {column: J, row: 3515, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3517 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3517, expected_value: E12000001, label: geography} + - {column: D, row: 3517, expected_value: All persons, label: sex} + - {column: E, row: 3517, expected_value: Employee, label: employment type} + - {column: J, row: 3517, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3519 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3519, expected_value: E12000001, label: geography} + - {column: D, row: 3519, expected_value: All persons, label: sex} + - {column: E, row: 3519, expected_value: Employee, label: employment type} + - {column: J, row: 3519, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3521 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3521, expected_value: E12000001, label: geography} + - {column: D, row: 3521, expected_value: All persons, label: sex} + - {column: E, row: 3521, expected_value: Employee, label: employment type} + - {column: J, row: 3521, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3523 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3523, expected_value: E12000001, label: geography} + - {column: D, row: 3523, expected_value: All persons, label: sex} + - {column: E, row: 3523, expected_value: Employee, label: employment type} + - {column: J, row: 3523, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3525 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3525, expected_value: E12000001, label: geography} + - {column: D, row: 3525, expected_value: All persons, label: sex} + - {column: E, row: 3525, expected_value: Employee, label: employment type} + - {column: J, row: 3525, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3527 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3527, expected_value: E12000001, label: geography} + - {column: D, row: 3527, expected_value: All persons, label: sex} + - {column: E, row: 3527, expected_value: Employee, label: employment type} + - {column: J, row: 3527, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3529 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3529, expected_value: E12000001, label: geography} + - {column: D, row: 3529, expected_value: All persons, label: sex} + - {column: E, row: 3529, expected_value: Employee, label: employment type} + - {column: J, row: 3529, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3674 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3674, expected_value: E12000001, label: geography} + - {column: D, row: 3674, expected_value: All persons, label: sex} + - {column: E, row: 3674, expected_value: Self-employed, label: employment type} + - {column: J, row: 3674, expected_value: Value, label: measure} + - {column: L, row: 3675, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3676 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3676, expected_value: E12000001, label: geography} + - {column: D, row: 3676, expected_value: All persons, label: sex} + - {column: E, row: 3676, expected_value: Self-employed, label: employment type} + - {column: J, row: 3676, expected_value: Value, label: measure} + - {column: L, row: 3677, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3678 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3678, expected_value: E12000001, label: geography} + - {column: D, row: 3678, expected_value: All persons, label: sex} + - {column: E, row: 3678, expected_value: Self-employed, label: employment type} + - {column: J, row: 3678, expected_value: Value, label: measure} + - {column: L, row: 3679, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3680 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3680, expected_value: E12000001, label: geography} + - {column: D, row: 3680, expected_value: All persons, label: sex} + - {column: E, row: 3680, expected_value: Self-employed, label: employment type} + - {column: J, row: 3680, expected_value: Value, label: measure} + - {column: L, row: 3681, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3682 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3682, expected_value: E12000001, label: geography} + - {column: D, row: 3682, expected_value: All persons, label: sex} + - {column: E, row: 3682, expected_value: Self-employed, label: employment type} + - {column: J, row: 3682, expected_value: Value, label: measure} + - {column: L, row: 3683, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3684 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3684, expected_value: E12000001, label: geography} + - {column: D, row: 3684, expected_value: All persons, label: sex} + - {column: E, row: 3684, expected_value: Self-employed, label: employment type} + - {column: J, row: 3684, expected_value: Value, label: measure} + - {column: L, row: 3685, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3686 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3686, expected_value: E12000001, label: geography} + - {column: D, row: 3686, expected_value: All persons, label: sex} + - {column: E, row: 3686, expected_value: Self-employed, label: employment type} + - {column: J, row: 3686, expected_value: Value, label: measure} + - {column: L, row: 3687, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3688 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3688, expected_value: E12000001, label: geography} + - {column: D, row: 3688, expected_value: All persons, label: sex} + - {column: E, row: 3688, expected_value: Self-employed, label: employment type} + - {column: J, row: 3688, expected_value: Value, label: measure} + - {column: L, row: 3689, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3690 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3690, expected_value: E12000001, label: geography} + - {column: D, row: 3690, expected_value: All persons, label: sex} + - {column: E, row: 3690, expected_value: Self-employed, label: employment type} + - {column: J, row: 3690, expected_value: Value, label: measure} + - {column: L, row: 3691, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3692 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3692, expected_value: E12000001, label: geography} + - {column: D, row: 3692, expected_value: All persons, label: sex} + - {column: E, row: 3692, expected_value: Self-employed, label: employment type} + - {column: J, row: 3692, expected_value: Value, label: measure} + - {column: L, row: 3693, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3694 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3694, expected_value: E12000001, label: geography} + - {column: D, row: 3694, expected_value: All persons, label: sex} + - {column: E, row: 3694, expected_value: Self-employed, label: employment type} + - {column: J, row: 3694, expected_value: Value, label: measure} + - {column: L, row: 3695, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3696 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3696, expected_value: E12000001, label: geography} + - {column: D, row: 3696, expected_value: All persons, label: sex} + - {column: E, row: 3696, expected_value: Self-employed, label: employment type} + - {column: J, row: 3696, expected_value: Value, label: measure} + - {column: L, row: 3697, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3700 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3700, expected_value: E12000001, label: geography} + - {column: D, row: 3700, expected_value: All persons, label: sex} + - {column: E, row: 3700, expected_value: Self-employed, label: employment type} + - {column: J, row: 3700, expected_value: Value, label: measure} + - {column: L, row: 3701, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3702 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3702, expected_value: E12000001, label: geography} + - {column: D, row: 3702, expected_value: All persons, label: sex} + - {column: E, row: 3702, expected_value: Self-employed, label: employment type} + - {column: J, row: 3702, expected_value: Value, label: measure} + - {column: L, row: 3703, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3704 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3704, expected_value: E12000001, label: geography} + - {column: D, row: 3704, expected_value: All persons, label: sex} + - {column: E, row: 3704, expected_value: Self-employed, label: employment type} + - {column: J, row: 3704, expected_value: Value, label: measure} + - {column: L, row: 3705, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3706 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3706, expected_value: E12000001, label: geography} + - {column: D, row: 3706, expected_value: All persons, label: sex} + - {column: E, row: 3706, expected_value: Self-employed, label: employment type} + - {column: J, row: 3706, expected_value: Value, label: measure} + - {column: L, row: 3707, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3710 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3710, expected_value: E12000001, label: geography} + - {column: D, row: 3710, expected_value: All persons, label: sex} + - {column: E, row: 3710, expected_value: Self-employed, label: employment type} + - {column: J, row: 3710, expected_value: Value, label: measure} + - {column: L, row: 3711, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3712 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3712, expected_value: E12000001, label: geography} + - {column: D, row: 3712, expected_value: All persons, label: sex} + - {column: E, row: 3712, expected_value: Self-employed, label: employment type} + - {column: J, row: 3712, expected_value: Value, label: measure} + - {column: L, row: 3713, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3714 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3714, expected_value: E12000001, label: geography} + - {column: D, row: 3714, expected_value: All persons, label: sex} + - {column: E, row: 3714, expected_value: Self-employed, label: employment type} + - {column: J, row: 3714, expected_value: Value, label: measure} + - {column: L, row: 3715, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3716 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3716, expected_value: E12000001, label: geography} + - {column: D, row: 3716, expected_value: All persons, label: sex} + - {column: E, row: 3716, expected_value: Self-employed, label: employment type} + - {column: J, row: 3716, expected_value: Value, label: measure} + - {column: L, row: 3717, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3718 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3718, expected_value: E12000001, label: geography} + - {column: D, row: 3718, expected_value: All persons, label: sex} + - {column: E, row: 3718, expected_value: Self-employed, label: employment type} + - {column: J, row: 3718, expected_value: Value, label: measure} + - {column: L, row: 3719, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3720 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3720, expected_value: E12000001, label: geography} + - {column: D, row: 3720, expected_value: All persons, label: sex} + - {column: E, row: 3720, expected_value: Self-employed, label: employment type} + - {column: J, row: 3720, expected_value: Value, label: measure} + - {column: L, row: 3721, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3722 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3722, expected_value: E12000001, label: geography} + - {column: D, row: 3722, expected_value: All persons, label: sex} + - {column: E, row: 3722, expected_value: Self-employed, label: employment type} + - {column: J, row: 3722, expected_value: Value, label: measure} + - {column: L, row: 3723, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3724 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3724, expected_value: E12000001, label: geography} + - {column: D, row: 3724, expected_value: All persons, label: sex} + - {column: E, row: 3724, expected_value: Self-employed, label: employment type} + - {column: J, row: 3724, expected_value: Value, label: measure} + - {column: L, row: 3725, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3728 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3728, expected_value: E12000001, label: geography} + - {column: D, row: 3728, expected_value: All persons, label: sex} + - {column: E, row: 3728, expected_value: Self-employed, label: employment type} + - {column: J, row: 3728, expected_value: Value, label: measure} + - {column: L, row: 3729, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3730 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3730, expected_value: E12000001, label: geography} + - {column: D, row: 3730, expected_value: All persons, label: sex} + - {column: E, row: 3730, expected_value: Self-employed, label: employment type} + - {column: J, row: 3730, expected_value: Value, label: measure} + - {column: L, row: 3731, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3734 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3734, expected_value: E12000001, label: geography} + - {column: D, row: 3734, expected_value: All persons, label: sex} + - {column: E, row: 3734, expected_value: Self-employed, label: employment type} + - {column: J, row: 3734, expected_value: Value, label: measure} + - {column: L, row: 3735, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3736 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3736, expected_value: E12000001, label: geography} + - {column: D, row: 3736, expected_value: All persons, label: sex} + - {column: E, row: 3736, expected_value: Self-employed, label: employment type} + - {column: J, row: 3736, expected_value: Value, label: measure} + - {column: L, row: 3737, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3738 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3738, expected_value: E12000001, label: geography} + - {column: D, row: 3738, expected_value: All persons, label: sex} + - {column: E, row: 3738, expected_value: Self-employed, label: employment type} + - {column: J, row: 3738, expected_value: Value, label: measure} + - {column: L, row: 3739, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3740 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3740, expected_value: E12000001, label: geography} + - {column: D, row: 3740, expected_value: All persons, label: sex} + - {column: E, row: 3740, expected_value: Self-employed, label: employment type} + - {column: J, row: 3740, expected_value: Value, label: measure} + - {column: L, row: 3741, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3742 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3742, expected_value: E12000001, label: geography} + - {column: D, row: 3742, expected_value: All persons, label: sex} + - {column: E, row: 3742, expected_value: Self-employed, label: employment type} + - {column: J, row: 3742, expected_value: Value, label: measure} + - {column: L, row: 3743, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3744 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3744, expected_value: E12000001, label: geography} + - {column: D, row: 3744, expected_value: All persons, label: sex} + - {column: E, row: 3744, expected_value: Self-employed, label: employment type} + - {column: J, row: 3744, expected_value: Value, label: measure} + - {column: L, row: 3745, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3675 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3675, expected_value: E12000001, label: geography} + - {column: D, row: 3675, expected_value: All persons, label: sex} + - {column: E, row: 3675, expected_value: Self-employed, label: employment type} + - {column: J, row: 3675, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3677 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3677, expected_value: E12000001, label: geography} + - {column: D, row: 3677, expected_value: All persons, label: sex} + - {column: E, row: 3677, expected_value: Self-employed, label: employment type} + - {column: J, row: 3677, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3679 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3679, expected_value: E12000001, label: geography} + - {column: D, row: 3679, expected_value: All persons, label: sex} + - {column: E, row: 3679, expected_value: Self-employed, label: employment type} + - {column: J, row: 3679, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3681 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3681, expected_value: E12000001, label: geography} + - {column: D, row: 3681, expected_value: All persons, label: sex} + - {column: E, row: 3681, expected_value: Self-employed, label: employment type} + - {column: J, row: 3681, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3683 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3683, expected_value: E12000001, label: geography} + - {column: D, row: 3683, expected_value: All persons, label: sex} + - {column: E, row: 3683, expected_value: Self-employed, label: employment type} + - {column: J, row: 3683, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3685 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3685, expected_value: E12000001, label: geography} + - {column: D, row: 3685, expected_value: All persons, label: sex} + - {column: E, row: 3685, expected_value: Self-employed, label: employment type} + - {column: J, row: 3685, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3687 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3687, expected_value: E12000001, label: geography} + - {column: D, row: 3687, expected_value: All persons, label: sex} + - {column: E, row: 3687, expected_value: Self-employed, label: employment type} + - {column: J, row: 3687, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3689 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3689, expected_value: E12000001, label: geography} + - {column: D, row: 3689, expected_value: All persons, label: sex} + - {column: E, row: 3689, expected_value: Self-employed, label: employment type} + - {column: J, row: 3689, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3691 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3691, expected_value: E12000001, label: geography} + - {column: D, row: 3691, expected_value: All persons, label: sex} + - {column: E, row: 3691, expected_value: Self-employed, label: employment type} + - {column: J, row: 3691, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3693 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3693, expected_value: E12000001, label: geography} + - {column: D, row: 3693, expected_value: All persons, label: sex} + - {column: E, row: 3693, expected_value: Self-employed, label: employment type} + - {column: J, row: 3693, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3701 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3701, expected_value: E12000001, label: geography} + - {column: D, row: 3701, expected_value: All persons, label: sex} + - {column: E, row: 3701, expected_value: Self-employed, label: employment type} + - {column: J, row: 3701, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3703 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3703, expected_value: E12000001, label: geography} + - {column: D, row: 3703, expected_value: All persons, label: sex} + - {column: E, row: 3703, expected_value: Self-employed, label: employment type} + - {column: J, row: 3703, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3705 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3705, expected_value: E12000001, label: geography} + - {column: D, row: 3705, expected_value: All persons, label: sex} + - {column: E, row: 3705, expected_value: Self-employed, label: employment type} + - {column: J, row: 3705, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3707 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3707, expected_value: E12000001, label: geography} + - {column: D, row: 3707, expected_value: All persons, label: sex} + - {column: E, row: 3707, expected_value: Self-employed, label: employment type} + - {column: J, row: 3707, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3711 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3711, expected_value: E12000001, label: geography} + - {column: D, row: 3711, expected_value: All persons, label: sex} + - {column: E, row: 3711, expected_value: Self-employed, label: employment type} + - {column: J, row: 3711, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3713 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3713, expected_value: E12000001, label: geography} + - {column: D, row: 3713, expected_value: All persons, label: sex} + - {column: E, row: 3713, expected_value: Self-employed, label: employment type} + - {column: J, row: 3713, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3715 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3715, expected_value: E12000001, label: geography} + - {column: D, row: 3715, expected_value: All persons, label: sex} + - {column: E, row: 3715, expected_value: Self-employed, label: employment type} + - {column: J, row: 3715, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3717 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3717, expected_value: E12000001, label: geography} + - {column: D, row: 3717, expected_value: All persons, label: sex} + - {column: E, row: 3717, expected_value: Self-employed, label: employment type} + - {column: J, row: 3717, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3719 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3719, expected_value: E12000001, label: geography} + - {column: D, row: 3719, expected_value: All persons, label: sex} + - {column: E, row: 3719, expected_value: Self-employed, label: employment type} + - {column: J, row: 3719, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3721 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3721, expected_value: E12000001, label: geography} + - {column: D, row: 3721, expected_value: All persons, label: sex} + - {column: E, row: 3721, expected_value: Self-employed, label: employment type} + - {column: J, row: 3721, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3723 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3723, expected_value: E12000001, label: geography} + - {column: D, row: 3723, expected_value: All persons, label: sex} + - {column: E, row: 3723, expected_value: Self-employed, label: employment type} + - {column: J, row: 3723, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3725 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3725, expected_value: E12000001, label: geography} + - {column: D, row: 3725, expected_value: All persons, label: sex} + - {column: E, row: 3725, expected_value: Self-employed, label: employment type} + - {column: J, row: 3725, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3729 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3729, expected_value: E12000001, label: geography} + - {column: D, row: 3729, expected_value: All persons, label: sex} + - {column: E, row: 3729, expected_value: Self-employed, label: employment type} + - {column: J, row: 3729, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3731 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3731, expected_value: E12000001, label: geography} + - {column: D, row: 3731, expected_value: All persons, label: sex} + - {column: E, row: 3731, expected_value: Self-employed, label: employment type} + - {column: J, row: 3731, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3735 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3735, expected_value: E12000001, label: geography} + - {column: D, row: 3735, expected_value: All persons, label: sex} + - {column: E, row: 3735, expected_value: Self-employed, label: employment type} + - {column: J, row: 3735, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3737 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3737, expected_value: E12000001, label: geography} + - {column: D, row: 3737, expected_value: All persons, label: sex} + - {column: E, row: 3737, expected_value: Self-employed, label: employment type} + - {column: J, row: 3737, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3739 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3739, expected_value: E12000001, label: geography} + - {column: D, row: 3739, expected_value: All persons, label: sex} + - {column: E, row: 3739, expected_value: Self-employed, label: employment type} + - {column: J, row: 3739, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3741 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3741, expected_value: E12000001, label: geography} + - {column: D, row: 3741, expected_value: All persons, label: sex} + - {column: E, row: 3741, expected_value: Self-employed, label: employment type} + - {column: J, row: 3741, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3745 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3745, expected_value: E12000001, label: geography} + - {column: D, row: 3745, expected_value: All persons, label: sex} + - {column: E, row: 3745, expected_value: Self-employed, label: employment type} + - {column: J, row: 3745, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3314 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3314, expected_value: E12000001, label: geography} + - {column: D, row: 3314, expected_value: Males, label: sex} + - {column: E, row: 3314, expected_value: Total, label: employment type} + - {column: J, row: 3314, expected_value: Value, label: measure} + - {column: L, row: 3315, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3316 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3316, expected_value: E12000001, label: geography} + - {column: D, row: 3316, expected_value: Males, label: sex} + - {column: E, row: 3316, expected_value: Total, label: employment type} + - {column: J, row: 3316, expected_value: Value, label: measure} + - {column: L, row: 3317, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3318 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3318, expected_value: E12000001, label: geography} + - {column: D, row: 3318, expected_value: Males, label: sex} + - {column: E, row: 3318, expected_value: Total, label: employment type} + - {column: J, row: 3318, expected_value: Value, label: measure} + - {column: L, row: 3319, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3320 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3320, expected_value: E12000001, label: geography} + - {column: D, row: 3320, expected_value: Males, label: sex} + - {column: E, row: 3320, expected_value: Total, label: employment type} + - {column: J, row: 3320, expected_value: Value, label: measure} + - {column: L, row: 3321, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3322 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3322, expected_value: E12000001, label: geography} + - {column: D, row: 3322, expected_value: Males, label: sex} + - {column: E, row: 3322, expected_value: Total, label: employment type} + - {column: J, row: 3322, expected_value: Value, label: measure} + - {column: L, row: 3323, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3324 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3324, expected_value: E12000001, label: geography} + - {column: D, row: 3324, expected_value: Males, label: sex} + - {column: E, row: 3324, expected_value: Total, label: employment type} + - {column: J, row: 3324, expected_value: Value, label: measure} + - {column: L, row: 3325, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3326 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3326, expected_value: E12000001, label: geography} + - {column: D, row: 3326, expected_value: Males, label: sex} + - {column: E, row: 3326, expected_value: Total, label: employment type} + - {column: J, row: 3326, expected_value: Value, label: measure} + - {column: L, row: 3327, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3328 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3328, expected_value: E12000001, label: geography} + - {column: D, row: 3328, expected_value: Males, label: sex} + - {column: E, row: 3328, expected_value: Total, label: employment type} + - {column: J, row: 3328, expected_value: Value, label: measure} + - {column: L, row: 3329, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3330 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3330, expected_value: E12000001, label: geography} + - {column: D, row: 3330, expected_value: Males, label: sex} + - {column: E, row: 3330, expected_value: Total, label: employment type} + - {column: J, row: 3330, expected_value: Value, label: measure} + - {column: L, row: 3331, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3332 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3332, expected_value: E12000001, label: geography} + - {column: D, row: 3332, expected_value: Males, label: sex} + - {column: E, row: 3332, expected_value: Total, label: employment type} + - {column: J, row: 3332, expected_value: Value, label: measure} + - {column: L, row: 3333, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3334 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3334, expected_value: E12000001, label: geography} + - {column: D, row: 3334, expected_value: Males, label: sex} + - {column: E, row: 3334, expected_value: Total, label: employment type} + - {column: J, row: 3334, expected_value: Value, label: measure} + - {column: L, row: 3335, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3336 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3336, expected_value: E12000001, label: geography} + - {column: D, row: 3336, expected_value: Males, label: sex} + - {column: E, row: 3336, expected_value: Total, label: employment type} + - {column: J, row: 3336, expected_value: Value, label: measure} + - {column: L, row: 3337, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3338 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3338, expected_value: E12000001, label: geography} + - {column: D, row: 3338, expected_value: Males, label: sex} + - {column: E, row: 3338, expected_value: Total, label: employment type} + - {column: J, row: 3338, expected_value: Value, label: measure} + - {column: L, row: 3339, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3340 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3340, expected_value: E12000001, label: geography} + - {column: D, row: 3340, expected_value: Males, label: sex} + - {column: E, row: 3340, expected_value: Total, label: employment type} + - {column: J, row: 3340, expected_value: Value, label: measure} + - {column: L, row: 3341, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3342 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3342, expected_value: E12000001, label: geography} + - {column: D, row: 3342, expected_value: Males, label: sex} + - {column: E, row: 3342, expected_value: Total, label: employment type} + - {column: J, row: 3342, expected_value: Value, label: measure} + - {column: L, row: 3343, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3344 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3344, expected_value: E12000001, label: geography} + - {column: D, row: 3344, expected_value: Males, label: sex} + - {column: E, row: 3344, expected_value: Total, label: employment type} + - {column: J, row: 3344, expected_value: Value, label: measure} + - {column: L, row: 3345, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3346 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3346, expected_value: E12000001, label: geography} + - {column: D, row: 3346, expected_value: Males, label: sex} + - {column: E, row: 3346, expected_value: Total, label: employment type} + - {column: J, row: 3346, expected_value: Value, label: measure} + - {column: L, row: 3347, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3348 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3348, expected_value: E12000001, label: geography} + - {column: D, row: 3348, expected_value: Males, label: sex} + - {column: E, row: 3348, expected_value: Total, label: employment type} + - {column: J, row: 3348, expected_value: Value, label: measure} + - {column: L, row: 3349, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3350 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3350, expected_value: E12000001, label: geography} + - {column: D, row: 3350, expected_value: Males, label: sex} + - {column: E, row: 3350, expected_value: Total, label: employment type} + - {column: J, row: 3350, expected_value: Value, label: measure} + - {column: L, row: 3351, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3352 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3352, expected_value: E12000001, label: geography} + - {column: D, row: 3352, expected_value: Males, label: sex} + - {column: E, row: 3352, expected_value: Total, label: employment type} + - {column: J, row: 3352, expected_value: Value, label: measure} + - {column: L, row: 3353, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3354 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3354, expected_value: E12000001, label: geography} + - {column: D, row: 3354, expected_value: Males, label: sex} + - {column: E, row: 3354, expected_value: Total, label: employment type} + - {column: J, row: 3354, expected_value: Value, label: measure} + - {column: L, row: 3355, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3356 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3356, expected_value: E12000001, label: geography} + - {column: D, row: 3356, expected_value: Males, label: sex} + - {column: E, row: 3356, expected_value: Total, label: employment type} + - {column: J, row: 3356, expected_value: Value, label: measure} + - {column: L, row: 3357, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3358 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3358, expected_value: E12000001, label: geography} + - {column: D, row: 3358, expected_value: Males, label: sex} + - {column: E, row: 3358, expected_value: Total, label: employment type} + - {column: J, row: 3358, expected_value: Value, label: measure} + - {column: L, row: 3359, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3360 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3360, expected_value: E12000001, label: geography} + - {column: D, row: 3360, expected_value: Males, label: sex} + - {column: E, row: 3360, expected_value: Total, label: employment type} + - {column: J, row: 3360, expected_value: Value, label: measure} + - {column: L, row: 3361, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3362 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3362, expected_value: E12000001, label: geography} + - {column: D, row: 3362, expected_value: Males, label: sex} + - {column: E, row: 3362, expected_value: Total, label: employment type} + - {column: J, row: 3362, expected_value: Value, label: measure} + - {column: L, row: 3363, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3364 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3364, expected_value: E12000001, label: geography} + - {column: D, row: 3364, expected_value: Males, label: sex} + - {column: E, row: 3364, expected_value: Total, label: employment type} + - {column: J, row: 3364, expected_value: Value, label: measure} + - {column: L, row: 3365, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3366 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3366, expected_value: E12000001, label: geography} + - {column: D, row: 3366, expected_value: Males, label: sex} + - {column: E, row: 3366, expected_value: Total, label: employment type} + - {column: J, row: 3366, expected_value: Value, label: measure} + - {column: L, row: 3367, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3368 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3368, expected_value: E12000001, label: geography} + - {column: D, row: 3368, expected_value: Males, label: sex} + - {column: E, row: 3368, expected_value: Total, label: employment type} + - {column: J, row: 3368, expected_value: Value, label: measure} + - {column: L, row: 3369, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3370 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3370, expected_value: E12000001, label: geography} + - {column: D, row: 3370, expected_value: Males, label: sex} + - {column: E, row: 3370, expected_value: Total, label: employment type} + - {column: J, row: 3370, expected_value: Value, label: measure} + - {column: L, row: 3371, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3372 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3372, expected_value: E12000001, label: geography} + - {column: D, row: 3372, expected_value: Males, label: sex} + - {column: E, row: 3372, expected_value: Total, label: employment type} + - {column: J, row: 3372, expected_value: Value, label: measure} + - {column: L, row: 3373, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3374 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3374, expected_value: E12000001, label: geography} + - {column: D, row: 3374, expected_value: Males, label: sex} + - {column: E, row: 3374, expected_value: Total, label: employment type} + - {column: J, row: 3374, expected_value: Value, label: measure} + - {column: L, row: 3375, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3376 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3376, expected_value: E12000001, label: geography} + - {column: D, row: 3376, expected_value: Males, label: sex} + - {column: E, row: 3376, expected_value: Total, label: employment type} + - {column: J, row: 3376, expected_value: Value, label: measure} + - {column: L, row: 3377, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3378 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3378, expected_value: E12000001, label: geography} + - {column: D, row: 3378, expected_value: Males, label: sex} + - {column: E, row: 3378, expected_value: Total, label: employment type} + - {column: J, row: 3378, expected_value: Value, label: measure} + - {column: L, row: 3379, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3380 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3380, expected_value: E12000001, label: geography} + - {column: D, row: 3380, expected_value: Males, label: sex} + - {column: E, row: 3380, expected_value: Total, label: employment type} + - {column: J, row: 3380, expected_value: Value, label: measure} + - {column: L, row: 3381, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3382 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3382, expected_value: E12000001, label: geography} + - {column: D, row: 3382, expected_value: Males, label: sex} + - {column: E, row: 3382, expected_value: Total, label: employment type} + - {column: J, row: 3382, expected_value: Value, label: measure} + - {column: L, row: 3383, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3384 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3384, expected_value: E12000001, label: geography} + - {column: D, row: 3384, expected_value: Males, label: sex} + - {column: E, row: 3384, expected_value: Total, label: employment type} + - {column: J, row: 3384, expected_value: Value, label: measure} + - {column: L, row: 3385, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3315 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3315, expected_value: E12000001, label: geography} + - {column: D, row: 3315, expected_value: Males, label: sex} + - {column: E, row: 3315, expected_value: Total, label: employment type} + - {column: J, row: 3315, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3317 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3317, expected_value: E12000001, label: geography} + - {column: D, row: 3317, expected_value: Males, label: sex} + - {column: E, row: 3317, expected_value: Total, label: employment type} + - {column: J, row: 3317, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3319 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3319, expected_value: E12000001, label: geography} + - {column: D, row: 3319, expected_value: Males, label: sex} + - {column: E, row: 3319, expected_value: Total, label: employment type} + - {column: J, row: 3319, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3321 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3321, expected_value: E12000001, label: geography} + - {column: D, row: 3321, expected_value: Males, label: sex} + - {column: E, row: 3321, expected_value: Total, label: employment type} + - {column: J, row: 3321, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3323 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3323, expected_value: E12000001, label: geography} + - {column: D, row: 3323, expected_value: Males, label: sex} + - {column: E, row: 3323, expected_value: Total, label: employment type} + - {column: J, row: 3323, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3325 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3325, expected_value: E12000001, label: geography} + - {column: D, row: 3325, expected_value: Males, label: sex} + - {column: E, row: 3325, expected_value: Total, label: employment type} + - {column: J, row: 3325, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3327 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3327, expected_value: E12000001, label: geography} + - {column: D, row: 3327, expected_value: Males, label: sex} + - {column: E, row: 3327, expected_value: Total, label: employment type} + - {column: J, row: 3327, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3329 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3329, expected_value: E12000001, label: geography} + - {column: D, row: 3329, expected_value: Males, label: sex} + - {column: E, row: 3329, expected_value: Total, label: employment type} + - {column: J, row: 3329, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3331 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3331, expected_value: E12000001, label: geography} + - {column: D, row: 3331, expected_value: Males, label: sex} + - {column: E, row: 3331, expected_value: Total, label: employment type} + - {column: J, row: 3331, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3333 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3333, expected_value: E12000001, label: geography} + - {column: D, row: 3333, expected_value: Males, label: sex} + - {column: E, row: 3333, expected_value: Total, label: employment type} + - {column: J, row: 3333, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3335 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3335, expected_value: E12000001, label: geography} + - {column: D, row: 3335, expected_value: Males, label: sex} + - {column: E, row: 3335, expected_value: Total, label: employment type} + - {column: J, row: 3335, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3337 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3337, expected_value: E12000001, label: geography} + - {column: D, row: 3337, expected_value: Males, label: sex} + - {column: E, row: 3337, expected_value: Total, label: employment type} + - {column: J, row: 3337, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3339 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3339, expected_value: E12000001, label: geography} + - {column: D, row: 3339, expected_value: Males, label: sex} + - {column: E, row: 3339, expected_value: Total, label: employment type} + - {column: J, row: 3339, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3341 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3341, expected_value: E12000001, label: geography} + - {column: D, row: 3341, expected_value: Males, label: sex} + - {column: E, row: 3341, expected_value: Total, label: employment type} + - {column: J, row: 3341, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3343 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3343, expected_value: E12000001, label: geography} + - {column: D, row: 3343, expected_value: Males, label: sex} + - {column: E, row: 3343, expected_value: Total, label: employment type} + - {column: J, row: 3343, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3345 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3345, expected_value: E12000001, label: geography} + - {column: D, row: 3345, expected_value: Males, label: sex} + - {column: E, row: 3345, expected_value: Total, label: employment type} + - {column: J, row: 3345, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3347 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3347, expected_value: E12000001, label: geography} + - {column: D, row: 3347, expected_value: Males, label: sex} + - {column: E, row: 3347, expected_value: Total, label: employment type} + - {column: J, row: 3347, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3351 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3351, expected_value: E12000001, label: geography} + - {column: D, row: 3351, expected_value: Males, label: sex} + - {column: E, row: 3351, expected_value: Total, label: employment type} + - {column: J, row: 3351, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3353 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3353, expected_value: E12000001, label: geography} + - {column: D, row: 3353, expected_value: Males, label: sex} + - {column: E, row: 3353, expected_value: Total, label: employment type} + - {column: J, row: 3353, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3355 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3355, expected_value: E12000001, label: geography} + - {column: D, row: 3355, expected_value: Males, label: sex} + - {column: E, row: 3355, expected_value: Total, label: employment type} + - {column: J, row: 3355, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3357 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3357, expected_value: E12000001, label: geography} + - {column: D, row: 3357, expected_value: Males, label: sex} + - {column: E, row: 3357, expected_value: Total, label: employment type} + - {column: J, row: 3357, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3359 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3359, expected_value: E12000001, label: geography} + - {column: D, row: 3359, expected_value: Males, label: sex} + - {column: E, row: 3359, expected_value: Total, label: employment type} + - {column: J, row: 3359, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3361 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3361, expected_value: E12000001, label: geography} + - {column: D, row: 3361, expected_value: Males, label: sex} + - {column: E, row: 3361, expected_value: Total, label: employment type} + - {column: J, row: 3361, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3363 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3363, expected_value: E12000001, label: geography} + - {column: D, row: 3363, expected_value: Males, label: sex} + - {column: E, row: 3363, expected_value: Total, label: employment type} + - {column: J, row: 3363, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3365 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3365, expected_value: E12000001, label: geography} + - {column: D, row: 3365, expected_value: Males, label: sex} + - {column: E, row: 3365, expected_value: Total, label: employment type} + - {column: J, row: 3365, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3369 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3369, expected_value: E12000001, label: geography} + - {column: D, row: 3369, expected_value: Males, label: sex} + - {column: E, row: 3369, expected_value: Total, label: employment type} + - {column: J, row: 3369, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3371 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3371, expected_value: E12000001, label: geography} + - {column: D, row: 3371, expected_value: Males, label: sex} + - {column: E, row: 3371, expected_value: Total, label: employment type} + - {column: J, row: 3371, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3373 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3373, expected_value: E12000001, label: geography} + - {column: D, row: 3373, expected_value: Males, label: sex} + - {column: E, row: 3373, expected_value: Total, label: employment type} + - {column: J, row: 3373, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3375 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3375, expected_value: E12000001, label: geography} + - {column: D, row: 3375, expected_value: Males, label: sex} + - {column: E, row: 3375, expected_value: Total, label: employment type} + - {column: J, row: 3375, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3377 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3377, expected_value: E12000001, label: geography} + - {column: D, row: 3377, expected_value: Males, label: sex} + - {column: E, row: 3377, expected_value: Total, label: employment type} + - {column: J, row: 3377, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3379 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3379, expected_value: E12000001, label: geography} + - {column: D, row: 3379, expected_value: Males, label: sex} + - {column: E, row: 3379, expected_value: Total, label: employment type} + - {column: J, row: 3379, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3381 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3381, expected_value: E12000001, label: geography} + - {column: D, row: 3381, expected_value: Males, label: sex} + - {column: E, row: 3381, expected_value: Total, label: employment type} + - {column: J, row: 3381, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3383 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3383, expected_value: E12000001, label: geography} + - {column: D, row: 3383, expected_value: Males, label: sex} + - {column: E, row: 3383, expected_value: Total, label: employment type} + - {column: J, row: 3383, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3385 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3385, expected_value: E12000001, label: geography} + - {column: D, row: 3385, expected_value: Males, label: sex} + - {column: E, row: 3385, expected_value: Total, label: employment type} + - {column: J, row: 3385, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3530 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3530, expected_value: E12000001, label: geography} + - {column: D, row: 3530, expected_value: Males, label: sex} + - {column: E, row: 3530, expected_value: Employee, label: employment type} + - {column: J, row: 3530, expected_value: Value, label: measure} + - {column: L, row: 3531, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3532 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3532, expected_value: E12000001, label: geography} + - {column: D, row: 3532, expected_value: Males, label: sex} + - {column: E, row: 3532, expected_value: Employee, label: employment type} + - {column: J, row: 3532, expected_value: Value, label: measure} + - {column: L, row: 3533, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3534 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3534, expected_value: E12000001, label: geography} + - {column: D, row: 3534, expected_value: Males, label: sex} + - {column: E, row: 3534, expected_value: Employee, label: employment type} + - {column: J, row: 3534, expected_value: Value, label: measure} + - {column: L, row: 3535, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3536 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3536, expected_value: E12000001, label: geography} + - {column: D, row: 3536, expected_value: Males, label: sex} + - {column: E, row: 3536, expected_value: Employee, label: employment type} + - {column: J, row: 3536, expected_value: Value, label: measure} + - {column: L, row: 3537, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3538 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3538, expected_value: E12000001, label: geography} + - {column: D, row: 3538, expected_value: Males, label: sex} + - {column: E, row: 3538, expected_value: Employee, label: employment type} + - {column: J, row: 3538, expected_value: Value, label: measure} + - {column: L, row: 3539, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3540 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3540, expected_value: E12000001, label: geography} + - {column: D, row: 3540, expected_value: Males, label: sex} + - {column: E, row: 3540, expected_value: Employee, label: employment type} + - {column: J, row: 3540, expected_value: Value, label: measure} + - {column: L, row: 3541, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3542 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3542, expected_value: E12000001, label: geography} + - {column: D, row: 3542, expected_value: Males, label: sex} + - {column: E, row: 3542, expected_value: Employee, label: employment type} + - {column: J, row: 3542, expected_value: Value, label: measure} + - {column: L, row: 3543, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3544 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3544, expected_value: E12000001, label: geography} + - {column: D, row: 3544, expected_value: Males, label: sex} + - {column: E, row: 3544, expected_value: Employee, label: employment type} + - {column: J, row: 3544, expected_value: Value, label: measure} + - {column: L, row: 3545, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3546 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3546, expected_value: E12000001, label: geography} + - {column: D, row: 3546, expected_value: Males, label: sex} + - {column: E, row: 3546, expected_value: Employee, label: employment type} + - {column: J, row: 3546, expected_value: Value, label: measure} + - {column: L, row: 3547, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3548 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3548, expected_value: E12000001, label: geography} + - {column: D, row: 3548, expected_value: Males, label: sex} + - {column: E, row: 3548, expected_value: Employee, label: employment type} + - {column: J, row: 3548, expected_value: Value, label: measure} + - {column: L, row: 3549, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3550 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3550, expected_value: E12000001, label: geography} + - {column: D, row: 3550, expected_value: Males, label: sex} + - {column: E, row: 3550, expected_value: Employee, label: employment type} + - {column: J, row: 3550, expected_value: Value, label: measure} + - {column: L, row: 3551, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3552 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3552, expected_value: E12000001, label: geography} + - {column: D, row: 3552, expected_value: Males, label: sex} + - {column: E, row: 3552, expected_value: Employee, label: employment type} + - {column: J, row: 3552, expected_value: Value, label: measure} + - {column: L, row: 3553, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3554 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3554, expected_value: E12000001, label: geography} + - {column: D, row: 3554, expected_value: Males, label: sex} + - {column: E, row: 3554, expected_value: Employee, label: employment type} + - {column: J, row: 3554, expected_value: Value, label: measure} + - {column: L, row: 3555, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3556 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3556, expected_value: E12000001, label: geography} + - {column: D, row: 3556, expected_value: Males, label: sex} + - {column: E, row: 3556, expected_value: Employee, label: employment type} + - {column: J, row: 3556, expected_value: Value, label: measure} + - {column: L, row: 3557, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3558 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3558, expected_value: E12000001, label: geography} + - {column: D, row: 3558, expected_value: Males, label: sex} + - {column: E, row: 3558, expected_value: Employee, label: employment type} + - {column: J, row: 3558, expected_value: Value, label: measure} + - {column: L, row: 3559, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3560 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3560, expected_value: E12000001, label: geography} + - {column: D, row: 3560, expected_value: Males, label: sex} + - {column: E, row: 3560, expected_value: Employee, label: employment type} + - {column: J, row: 3560, expected_value: Value, label: measure} + - {column: L, row: 3561, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3562 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3562, expected_value: E12000001, label: geography} + - {column: D, row: 3562, expected_value: Males, label: sex} + - {column: E, row: 3562, expected_value: Employee, label: employment type} + - {column: J, row: 3562, expected_value: Value, label: measure} + - {column: L, row: 3563, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3564 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3564, expected_value: E12000001, label: geography} + - {column: D, row: 3564, expected_value: Males, label: sex} + - {column: E, row: 3564, expected_value: Employee, label: employment type} + - {column: J, row: 3564, expected_value: Value, label: measure} + - {column: L, row: 3565, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3566 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3566, expected_value: E12000001, label: geography} + - {column: D, row: 3566, expected_value: Males, label: sex} + - {column: E, row: 3566, expected_value: Employee, label: employment type} + - {column: J, row: 3566, expected_value: Value, label: measure} + - {column: L, row: 3567, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3568 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3568, expected_value: E12000001, label: geography} + - {column: D, row: 3568, expected_value: Males, label: sex} + - {column: E, row: 3568, expected_value: Employee, label: employment type} + - {column: J, row: 3568, expected_value: Value, label: measure} + - {column: L, row: 3569, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3570 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3570, expected_value: E12000001, label: geography} + - {column: D, row: 3570, expected_value: Males, label: sex} + - {column: E, row: 3570, expected_value: Employee, label: employment type} + - {column: J, row: 3570, expected_value: Value, label: measure} + - {column: L, row: 3571, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3572 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3572, expected_value: E12000001, label: geography} + - {column: D, row: 3572, expected_value: Males, label: sex} + - {column: E, row: 3572, expected_value: Employee, label: employment type} + - {column: J, row: 3572, expected_value: Value, label: measure} + - {column: L, row: 3573, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3574 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3574, expected_value: E12000001, label: geography} + - {column: D, row: 3574, expected_value: Males, label: sex} + - {column: E, row: 3574, expected_value: Employee, label: employment type} + - {column: J, row: 3574, expected_value: Value, label: measure} + - {column: L, row: 3575, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3576 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3576, expected_value: E12000001, label: geography} + - {column: D, row: 3576, expected_value: Males, label: sex} + - {column: E, row: 3576, expected_value: Employee, label: employment type} + - {column: J, row: 3576, expected_value: Value, label: measure} + - {column: L, row: 3577, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3578 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3578, expected_value: E12000001, label: geography} + - {column: D, row: 3578, expected_value: Males, label: sex} + - {column: E, row: 3578, expected_value: Employee, label: employment type} + - {column: J, row: 3578, expected_value: Value, label: measure} + - {column: L, row: 3579, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3580 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3580, expected_value: E12000001, label: geography} + - {column: D, row: 3580, expected_value: Males, label: sex} + - {column: E, row: 3580, expected_value: Employee, label: employment type} + - {column: J, row: 3580, expected_value: Value, label: measure} + - {column: L, row: 3581, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3582 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3582, expected_value: E12000001, label: geography} + - {column: D, row: 3582, expected_value: Males, label: sex} + - {column: E, row: 3582, expected_value: Employee, label: employment type} + - {column: J, row: 3582, expected_value: Value, label: measure} + - {column: L, row: 3583, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3584 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3584, expected_value: E12000001, label: geography} + - {column: D, row: 3584, expected_value: Males, label: sex} + - {column: E, row: 3584, expected_value: Employee, label: employment type} + - {column: J, row: 3584, expected_value: Value, label: measure} + - {column: L, row: 3585, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3586 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3586, expected_value: E12000001, label: geography} + - {column: D, row: 3586, expected_value: Males, label: sex} + - {column: E, row: 3586, expected_value: Employee, label: employment type} + - {column: J, row: 3586, expected_value: Value, label: measure} + - {column: L, row: 3587, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3588 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3588, expected_value: E12000001, label: geography} + - {column: D, row: 3588, expected_value: Males, label: sex} + - {column: E, row: 3588, expected_value: Employee, label: employment type} + - {column: J, row: 3588, expected_value: Value, label: measure} + - {column: L, row: 3589, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3590 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3590, expected_value: E12000001, label: geography} + - {column: D, row: 3590, expected_value: Males, label: sex} + - {column: E, row: 3590, expected_value: Employee, label: employment type} + - {column: J, row: 3590, expected_value: Value, label: measure} + - {column: L, row: 3591, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3592 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3592, expected_value: E12000001, label: geography} + - {column: D, row: 3592, expected_value: Males, label: sex} + - {column: E, row: 3592, expected_value: Employee, label: employment type} + - {column: J, row: 3592, expected_value: Value, label: measure} + - {column: L, row: 3593, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3594 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3594, expected_value: E12000001, label: geography} + - {column: D, row: 3594, expected_value: Males, label: sex} + - {column: E, row: 3594, expected_value: Employee, label: employment type} + - {column: J, row: 3594, expected_value: Value, label: measure} + - {column: L, row: 3595, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3596 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3596, expected_value: E12000001, label: geography} + - {column: D, row: 3596, expected_value: Males, label: sex} + - {column: E, row: 3596, expected_value: Employee, label: employment type} + - {column: J, row: 3596, expected_value: Value, label: measure} + - {column: L, row: 3597, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3598 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3598, expected_value: E12000001, label: geography} + - {column: D, row: 3598, expected_value: Males, label: sex} + - {column: E, row: 3598, expected_value: Employee, label: employment type} + - {column: J, row: 3598, expected_value: Value, label: measure} + - {column: L, row: 3599, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3600 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3600, expected_value: E12000001, label: geography} + - {column: D, row: 3600, expected_value: Males, label: sex} + - {column: E, row: 3600, expected_value: Employee, label: employment type} + - {column: J, row: 3600, expected_value: Value, label: measure} + - {column: L, row: 3601, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3531 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3531, expected_value: E12000001, label: geography} + - {column: D, row: 3531, expected_value: Males, label: sex} + - {column: E, row: 3531, expected_value: Employee, label: employment type} + - {column: J, row: 3531, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3533 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3533, expected_value: E12000001, label: geography} + - {column: D, row: 3533, expected_value: Males, label: sex} + - {column: E, row: 3533, expected_value: Employee, label: employment type} + - {column: J, row: 3533, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3535 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3535, expected_value: E12000001, label: geography} + - {column: D, row: 3535, expected_value: Males, label: sex} + - {column: E, row: 3535, expected_value: Employee, label: employment type} + - {column: J, row: 3535, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3537 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3537, expected_value: E12000001, label: geography} + - {column: D, row: 3537, expected_value: Males, label: sex} + - {column: E, row: 3537, expected_value: Employee, label: employment type} + - {column: J, row: 3537, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3539 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3539, expected_value: E12000001, label: geography} + - {column: D, row: 3539, expected_value: Males, label: sex} + - {column: E, row: 3539, expected_value: Employee, label: employment type} + - {column: J, row: 3539, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3541 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3541, expected_value: E12000001, label: geography} + - {column: D, row: 3541, expected_value: Males, label: sex} + - {column: E, row: 3541, expected_value: Employee, label: employment type} + - {column: J, row: 3541, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3543 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3543, expected_value: E12000001, label: geography} + - {column: D, row: 3543, expected_value: Males, label: sex} + - {column: E, row: 3543, expected_value: Employee, label: employment type} + - {column: J, row: 3543, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3545 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3545, expected_value: E12000001, label: geography} + - {column: D, row: 3545, expected_value: Males, label: sex} + - {column: E, row: 3545, expected_value: Employee, label: employment type} + - {column: J, row: 3545, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3547 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3547, expected_value: E12000001, label: geography} + - {column: D, row: 3547, expected_value: Males, label: sex} + - {column: E, row: 3547, expected_value: Employee, label: employment type} + - {column: J, row: 3547, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3549 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3549, expected_value: E12000001, label: geography} + - {column: D, row: 3549, expected_value: Males, label: sex} + - {column: E, row: 3549, expected_value: Employee, label: employment type} + - {column: J, row: 3549, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3551 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3551, expected_value: E12000001, label: geography} + - {column: D, row: 3551, expected_value: Males, label: sex} + - {column: E, row: 3551, expected_value: Employee, label: employment type} + - {column: J, row: 3551, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3553 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3553, expected_value: E12000001, label: geography} + - {column: D, row: 3553, expected_value: Males, label: sex} + - {column: E, row: 3553, expected_value: Employee, label: employment type} + - {column: J, row: 3553, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3555 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3555, expected_value: E12000001, label: geography} + - {column: D, row: 3555, expected_value: Males, label: sex} + - {column: E, row: 3555, expected_value: Employee, label: employment type} + - {column: J, row: 3555, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3557 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3557, expected_value: E12000001, label: geography} + - {column: D, row: 3557, expected_value: Males, label: sex} + - {column: E, row: 3557, expected_value: Employee, label: employment type} + - {column: J, row: 3557, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3559 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3559, expected_value: E12000001, label: geography} + - {column: D, row: 3559, expected_value: Males, label: sex} + - {column: E, row: 3559, expected_value: Employee, label: employment type} + - {column: J, row: 3559, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3561 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3561, expected_value: E12000001, label: geography} + - {column: D, row: 3561, expected_value: Males, label: sex} + - {column: E, row: 3561, expected_value: Employee, label: employment type} + - {column: J, row: 3561, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3563 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3563, expected_value: E12000001, label: geography} + - {column: D, row: 3563, expected_value: Males, label: sex} + - {column: E, row: 3563, expected_value: Employee, label: employment type} + - {column: J, row: 3563, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3567 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3567, expected_value: E12000001, label: geography} + - {column: D, row: 3567, expected_value: Males, label: sex} + - {column: E, row: 3567, expected_value: Employee, label: employment type} + - {column: J, row: 3567, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3569 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3569, expected_value: E12000001, label: geography} + - {column: D, row: 3569, expected_value: Males, label: sex} + - {column: E, row: 3569, expected_value: Employee, label: employment type} + - {column: J, row: 3569, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3571 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3571, expected_value: E12000001, label: geography} + - {column: D, row: 3571, expected_value: Males, label: sex} + - {column: E, row: 3571, expected_value: Employee, label: employment type} + - {column: J, row: 3571, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3573 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3573, expected_value: E12000001, label: geography} + - {column: D, row: 3573, expected_value: Males, label: sex} + - {column: E, row: 3573, expected_value: Employee, label: employment type} + - {column: J, row: 3573, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3575 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3575, expected_value: E12000001, label: geography} + - {column: D, row: 3575, expected_value: Males, label: sex} + - {column: E, row: 3575, expected_value: Employee, label: employment type} + - {column: J, row: 3575, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3577 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3577, expected_value: E12000001, label: geography} + - {column: D, row: 3577, expected_value: Males, label: sex} + - {column: E, row: 3577, expected_value: Employee, label: employment type} + - {column: J, row: 3577, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3579 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3579, expected_value: E12000001, label: geography} + - {column: D, row: 3579, expected_value: Males, label: sex} + - {column: E, row: 3579, expected_value: Employee, label: employment type} + - {column: J, row: 3579, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3581 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3581, expected_value: E12000001, label: geography} + - {column: D, row: 3581, expected_value: Males, label: sex} + - {column: E, row: 3581, expected_value: Employee, label: employment type} + - {column: J, row: 3581, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3585 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3585, expected_value: E12000001, label: geography} + - {column: D, row: 3585, expected_value: Males, label: sex} + - {column: E, row: 3585, expected_value: Employee, label: employment type} + - {column: J, row: 3585, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3587 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3587, expected_value: E12000001, label: geography} + - {column: D, row: 3587, expected_value: Males, label: sex} + - {column: E, row: 3587, expected_value: Employee, label: employment type} + - {column: J, row: 3587, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3589 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3589, expected_value: E12000001, label: geography} + - {column: D, row: 3589, expected_value: Males, label: sex} + - {column: E, row: 3589, expected_value: Employee, label: employment type} + - {column: J, row: 3589, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3591 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3591, expected_value: E12000001, label: geography} + - {column: D, row: 3591, expected_value: Males, label: sex} + - {column: E, row: 3591, expected_value: Employee, label: employment type} + - {column: J, row: 3591, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3593 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3593, expected_value: E12000001, label: geography} + - {column: D, row: 3593, expected_value: Males, label: sex} + - {column: E, row: 3593, expected_value: Employee, label: employment type} + - {column: J, row: 3593, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3595 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3595, expected_value: E12000001, label: geography} + - {column: D, row: 3595, expected_value: Males, label: sex} + - {column: E, row: 3595, expected_value: Employee, label: employment type} + - {column: J, row: 3595, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3597 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3597, expected_value: E12000001, label: geography} + - {column: D, row: 3597, expected_value: Males, label: sex} + - {column: E, row: 3597, expected_value: Employee, label: employment type} + - {column: J, row: 3597, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3599 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3599, expected_value: E12000001, label: geography} + - {column: D, row: 3599, expected_value: Males, label: sex} + - {column: E, row: 3599, expected_value: Employee, label: employment type} + - {column: J, row: 3599, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3601 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3601, expected_value: E12000001, label: geography} + - {column: D, row: 3601, expected_value: Males, label: sex} + - {column: E, row: 3601, expected_value: Employee, label: employment type} + - {column: J, row: 3601, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3746 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3746, expected_value: E12000001, label: geography} + - {column: D, row: 3746, expected_value: Males, label: sex} + - {column: E, row: 3746, expected_value: Self-employed, label: employment type} + - {column: J, row: 3746, expected_value: Value, label: measure} + - {column: L, row: 3747, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3748 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3748, expected_value: E12000001, label: geography} + - {column: D, row: 3748, expected_value: Males, label: sex} + - {column: E, row: 3748, expected_value: Self-employed, label: employment type} + - {column: J, row: 3748, expected_value: Value, label: measure} + - {column: L, row: 3749, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3750 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3750, expected_value: E12000001, label: geography} + - {column: D, row: 3750, expected_value: Males, label: sex} + - {column: E, row: 3750, expected_value: Self-employed, label: employment type} + - {column: J, row: 3750, expected_value: Value, label: measure} + - {column: L, row: 3751, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3752 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3752, expected_value: E12000001, label: geography} + - {column: D, row: 3752, expected_value: Males, label: sex} + - {column: E, row: 3752, expected_value: Self-employed, label: employment type} + - {column: J, row: 3752, expected_value: Value, label: measure} + - {column: L, row: 3753, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3754 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3754, expected_value: E12000001, label: geography} + - {column: D, row: 3754, expected_value: Males, label: sex} + - {column: E, row: 3754, expected_value: Self-employed, label: employment type} + - {column: J, row: 3754, expected_value: Value, label: measure} + - {column: L, row: 3755, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3756 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3756, expected_value: E12000001, label: geography} + - {column: D, row: 3756, expected_value: Males, label: sex} + - {column: E, row: 3756, expected_value: Self-employed, label: employment type} + - {column: J, row: 3756, expected_value: Value, label: measure} + - {column: L, row: 3757, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3758 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3758, expected_value: E12000001, label: geography} + - {column: D, row: 3758, expected_value: Males, label: sex} + - {column: E, row: 3758, expected_value: Self-employed, label: employment type} + - {column: J, row: 3758, expected_value: Value, label: measure} + - {column: L, row: 3759, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3760 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3760, expected_value: E12000001, label: geography} + - {column: D, row: 3760, expected_value: Males, label: sex} + - {column: E, row: 3760, expected_value: Self-employed, label: employment type} + - {column: J, row: 3760, expected_value: Value, label: measure} + - {column: L, row: 3761, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3762 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3762, expected_value: E12000001, label: geography} + - {column: D, row: 3762, expected_value: Males, label: sex} + - {column: E, row: 3762, expected_value: Self-employed, label: employment type} + - {column: J, row: 3762, expected_value: Value, label: measure} + - {column: L, row: 3763, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3764 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3764, expected_value: E12000001, label: geography} + - {column: D, row: 3764, expected_value: Males, label: sex} + - {column: E, row: 3764, expected_value: Self-employed, label: employment type} + - {column: J, row: 3764, expected_value: Value, label: measure} + - {column: L, row: 3765, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3766 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3766, expected_value: E12000001, label: geography} + - {column: D, row: 3766, expected_value: Males, label: sex} + - {column: E, row: 3766, expected_value: Self-employed, label: employment type} + - {column: J, row: 3766, expected_value: Value, label: measure} + - {column: L, row: 3767, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3772 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3772, expected_value: E12000001, label: geography} + - {column: D, row: 3772, expected_value: Males, label: sex} + - {column: E, row: 3772, expected_value: Self-employed, label: employment type} + - {column: J, row: 3772, expected_value: Value, label: measure} + - {column: L, row: 3773, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3774 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3774, expected_value: E12000001, label: geography} + - {column: D, row: 3774, expected_value: Males, label: sex} + - {column: E, row: 3774, expected_value: Self-employed, label: employment type} + - {column: J, row: 3774, expected_value: Value, label: measure} + - {column: L, row: 3775, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3776 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3776, expected_value: E12000001, label: geography} + - {column: D, row: 3776, expected_value: Males, label: sex} + - {column: E, row: 3776, expected_value: Self-employed, label: employment type} + - {column: J, row: 3776, expected_value: Value, label: measure} + - {column: L, row: 3777, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3778 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3778, expected_value: E12000001, label: geography} + - {column: D, row: 3778, expected_value: Males, label: sex} + - {column: E, row: 3778, expected_value: Self-employed, label: employment type} + - {column: J, row: 3778, expected_value: Value, label: measure} + - {column: L, row: 3779, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3782 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3782, expected_value: E12000001, label: geography} + - {column: D, row: 3782, expected_value: Males, label: sex} + - {column: E, row: 3782, expected_value: Self-employed, label: employment type} + - {column: J, row: 3782, expected_value: Value, label: measure} + - {column: L, row: 3783, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3784 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3784, expected_value: E12000001, label: geography} + - {column: D, row: 3784, expected_value: Males, label: sex} + - {column: E, row: 3784, expected_value: Self-employed, label: employment type} + - {column: J, row: 3784, expected_value: Value, label: measure} + - {column: L, row: 3785, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3786 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3786, expected_value: E12000001, label: geography} + - {column: D, row: 3786, expected_value: Males, label: sex} + - {column: E, row: 3786, expected_value: Self-employed, label: employment type} + - {column: J, row: 3786, expected_value: Value, label: measure} + - {column: L, row: 3787, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3788 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3788, expected_value: E12000001, label: geography} + - {column: D, row: 3788, expected_value: Males, label: sex} + - {column: E, row: 3788, expected_value: Self-employed, label: employment type} + - {column: J, row: 3788, expected_value: Value, label: measure} + - {column: L, row: 3789, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3790 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3790, expected_value: E12000001, label: geography} + - {column: D, row: 3790, expected_value: Males, label: sex} + - {column: E, row: 3790, expected_value: Self-employed, label: employment type} + - {column: J, row: 3790, expected_value: Value, label: measure} + - {column: L, row: 3791, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3792 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3792, expected_value: E12000001, label: geography} + - {column: D, row: 3792, expected_value: Males, label: sex} + - {column: E, row: 3792, expected_value: Self-employed, label: employment type} + - {column: J, row: 3792, expected_value: Value, label: measure} + - {column: L, row: 3793, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3796 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3796, expected_value: E12000001, label: geography} + - {column: D, row: 3796, expected_value: Males, label: sex} + - {column: E, row: 3796, expected_value: Self-employed, label: employment type} + - {column: J, row: 3796, expected_value: Value, label: measure} + - {column: L, row: 3797, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3800 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3800, expected_value: E12000001, label: geography} + - {column: D, row: 3800, expected_value: Males, label: sex} + - {column: E, row: 3800, expected_value: Self-employed, label: employment type} + - {column: J, row: 3800, expected_value: Value, label: measure} + - {column: L, row: 3801, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3802 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3802, expected_value: E12000001, label: geography} + - {column: D, row: 3802, expected_value: Males, label: sex} + - {column: E, row: 3802, expected_value: Self-employed, label: employment type} + - {column: J, row: 3802, expected_value: Value, label: measure} + - {column: L, row: 3803, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3806 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3806, expected_value: E12000001, label: geography} + - {column: D, row: 3806, expected_value: Males, label: sex} + - {column: E, row: 3806, expected_value: Self-employed, label: employment type} + - {column: J, row: 3806, expected_value: Value, label: measure} + - {column: L, row: 3807, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3808 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3808, expected_value: E12000001, label: geography} + - {column: D, row: 3808, expected_value: Males, label: sex} + - {column: E, row: 3808, expected_value: Self-employed, label: employment type} + - {column: J, row: 3808, expected_value: Value, label: measure} + - {column: L, row: 3809, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3810 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3810, expected_value: E12000001, label: geography} + - {column: D, row: 3810, expected_value: Males, label: sex} + - {column: E, row: 3810, expected_value: Self-employed, label: employment type} + - {column: J, row: 3810, expected_value: Value, label: measure} + - {column: L, row: 3811, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3812 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3812, expected_value: E12000001, label: geography} + - {column: D, row: 3812, expected_value: Males, label: sex} + - {column: E, row: 3812, expected_value: Self-employed, label: employment type} + - {column: J, row: 3812, expected_value: Value, label: measure} + - {column: L, row: 3813, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3814 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3814, expected_value: E12000001, label: geography} + - {column: D, row: 3814, expected_value: Males, label: sex} + - {column: E, row: 3814, expected_value: Self-employed, label: employment type} + - {column: J, row: 3814, expected_value: Value, label: measure} + - {column: L, row: 3815, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3816 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3816, expected_value: E12000001, label: geography} + - {column: D, row: 3816, expected_value: Males, label: sex} + - {column: E, row: 3816, expected_value: Self-employed, label: employment type} + - {column: J, row: 3816, expected_value: Value, label: measure} + - {column: L, row: 3817, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3747 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3747, expected_value: E12000001, label: geography} + - {column: D, row: 3747, expected_value: Males, label: sex} + - {column: E, row: 3747, expected_value: Self-employed, label: employment type} + - {column: J, row: 3747, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3749 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3749, expected_value: E12000001, label: geography} + - {column: D, row: 3749, expected_value: Males, label: sex} + - {column: E, row: 3749, expected_value: Self-employed, label: employment type} + - {column: J, row: 3749, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3751 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3751, expected_value: E12000001, label: geography} + - {column: D, row: 3751, expected_value: Males, label: sex} + - {column: E, row: 3751, expected_value: Self-employed, label: employment type} + - {column: J, row: 3751, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3753 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3753, expected_value: E12000001, label: geography} + - {column: D, row: 3753, expected_value: Males, label: sex} + - {column: E, row: 3753, expected_value: Self-employed, label: employment type} + - {column: J, row: 3753, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3755 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3755, expected_value: E12000001, label: geography} + - {column: D, row: 3755, expected_value: Males, label: sex} + - {column: E, row: 3755, expected_value: Self-employed, label: employment type} + - {column: J, row: 3755, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3757 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3757, expected_value: E12000001, label: geography} + - {column: D, row: 3757, expected_value: Males, label: sex} + - {column: E, row: 3757, expected_value: Self-employed, label: employment type} + - {column: J, row: 3757, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3763 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3763, expected_value: E12000001, label: geography} + - {column: D, row: 3763, expected_value: Males, label: sex} + - {column: E, row: 3763, expected_value: Self-employed, label: employment type} + - {column: J, row: 3763, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3765 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3765, expected_value: E12000001, label: geography} + - {column: D, row: 3765, expected_value: Males, label: sex} + - {column: E, row: 3765, expected_value: Self-employed, label: employment type} + - {column: J, row: 3765, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3773 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3773, expected_value: E12000001, label: geography} + - {column: D, row: 3773, expected_value: Males, label: sex} + - {column: E, row: 3773, expected_value: Self-employed, label: employment type} + - {column: J, row: 3773, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3775 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3775, expected_value: E12000001, label: geography} + - {column: D, row: 3775, expected_value: Males, label: sex} + - {column: E, row: 3775, expected_value: Self-employed, label: employment type} + - {column: J, row: 3775, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3783 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3783, expected_value: E12000001, label: geography} + - {column: D, row: 3783, expected_value: Males, label: sex} + - {column: E, row: 3783, expected_value: Self-employed, label: employment type} + - {column: J, row: 3783, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3785 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3785, expected_value: E12000001, label: geography} + - {column: D, row: 3785, expected_value: Males, label: sex} + - {column: E, row: 3785, expected_value: Self-employed, label: employment type} + - {column: J, row: 3785, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3787 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3787, expected_value: E12000001, label: geography} + - {column: D, row: 3787, expected_value: Males, label: sex} + - {column: E, row: 3787, expected_value: Self-employed, label: employment type} + - {column: J, row: 3787, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3789 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3789, expected_value: E12000001, label: geography} + - {column: D, row: 3789, expected_value: Males, label: sex} + - {column: E, row: 3789, expected_value: Self-employed, label: employment type} + - {column: J, row: 3789, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3807 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3807, expected_value: E12000001, label: geography} + - {column: D, row: 3807, expected_value: Males, label: sex} + - {column: E, row: 3807, expected_value: Self-employed, label: employment type} + - {column: J, row: 3807, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3811 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3811, expected_value: E12000001, label: geography} + - {column: D, row: 3811, expected_value: Males, label: sex} + - {column: E, row: 3811, expected_value: Self-employed, label: employment type} + - {column: J, row: 3811, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3813 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3813, expected_value: E12000001, label: geography} + - {column: D, row: 3813, expected_value: Males, label: sex} + - {column: E, row: 3813, expected_value: Self-employed, label: employment type} + - {column: J, row: 3813, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3386 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3386, expected_value: E12000001, label: geography} + - {column: D, row: 3386, expected_value: Females, label: sex} + - {column: E, row: 3386, expected_value: Total, label: employment type} + - {column: J, row: 3386, expected_value: Value, label: measure} + - {column: L, row: 3387, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3388 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3388, expected_value: E12000001, label: geography} + - {column: D, row: 3388, expected_value: Females, label: sex} + - {column: E, row: 3388, expected_value: Total, label: employment type} + - {column: J, row: 3388, expected_value: Value, label: measure} + - {column: L, row: 3389, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3390 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3390, expected_value: E12000001, label: geography} + - {column: D, row: 3390, expected_value: Females, label: sex} + - {column: E, row: 3390, expected_value: Total, label: employment type} + - {column: J, row: 3390, expected_value: Value, label: measure} + - {column: L, row: 3391, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3392 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3392, expected_value: E12000001, label: geography} + - {column: D, row: 3392, expected_value: Females, label: sex} + - {column: E, row: 3392, expected_value: Total, label: employment type} + - {column: J, row: 3392, expected_value: Value, label: measure} + - {column: L, row: 3393, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3394 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3394, expected_value: E12000001, label: geography} + - {column: D, row: 3394, expected_value: Females, label: sex} + - {column: E, row: 3394, expected_value: Total, label: employment type} + - {column: J, row: 3394, expected_value: Value, label: measure} + - {column: L, row: 3395, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3396 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3396, expected_value: E12000001, label: geography} + - {column: D, row: 3396, expected_value: Females, label: sex} + - {column: E, row: 3396, expected_value: Total, label: employment type} + - {column: J, row: 3396, expected_value: Value, label: measure} + - {column: L, row: 3397, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3398 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3398, expected_value: E12000001, label: geography} + - {column: D, row: 3398, expected_value: Females, label: sex} + - {column: E, row: 3398, expected_value: Total, label: employment type} + - {column: J, row: 3398, expected_value: Value, label: measure} + - {column: L, row: 3399, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3400 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3400, expected_value: E12000001, label: geography} + - {column: D, row: 3400, expected_value: Females, label: sex} + - {column: E, row: 3400, expected_value: Total, label: employment type} + - {column: J, row: 3400, expected_value: Value, label: measure} + - {column: L, row: 3401, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3402 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3402, expected_value: E12000001, label: geography} + - {column: D, row: 3402, expected_value: Females, label: sex} + - {column: E, row: 3402, expected_value: Total, label: employment type} + - {column: J, row: 3402, expected_value: Value, label: measure} + - {column: L, row: 3403, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3404 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3404, expected_value: E12000001, label: geography} + - {column: D, row: 3404, expected_value: Females, label: sex} + - {column: E, row: 3404, expected_value: Total, label: employment type} + - {column: J, row: 3404, expected_value: Value, label: measure} + - {column: L, row: 3405, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3406 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3406, expected_value: E12000001, label: geography} + - {column: D, row: 3406, expected_value: Females, label: sex} + - {column: E, row: 3406, expected_value: Total, label: employment type} + - {column: J, row: 3406, expected_value: Value, label: measure} + - {column: L, row: 3407, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3408 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3408, expected_value: E12000001, label: geography} + - {column: D, row: 3408, expected_value: Females, label: sex} + - {column: E, row: 3408, expected_value: Total, label: employment type} + - {column: J, row: 3408, expected_value: Value, label: measure} + - {column: L, row: 3409, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3410 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3410, expected_value: E12000001, label: geography} + - {column: D, row: 3410, expected_value: Females, label: sex} + - {column: E, row: 3410, expected_value: Total, label: employment type} + - {column: J, row: 3410, expected_value: Value, label: measure} + - {column: L, row: 3411, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3412 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3412, expected_value: E12000001, label: geography} + - {column: D, row: 3412, expected_value: Females, label: sex} + - {column: E, row: 3412, expected_value: Total, label: employment type} + - {column: J, row: 3412, expected_value: Value, label: measure} + - {column: L, row: 3413, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3414 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3414, expected_value: E12000001, label: geography} + - {column: D, row: 3414, expected_value: Females, label: sex} + - {column: E, row: 3414, expected_value: Total, label: employment type} + - {column: J, row: 3414, expected_value: Value, label: measure} + - {column: L, row: 3415, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3416 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3416, expected_value: E12000001, label: geography} + - {column: D, row: 3416, expected_value: Females, label: sex} + - {column: E, row: 3416, expected_value: Total, label: employment type} + - {column: J, row: 3416, expected_value: Value, label: measure} + - {column: L, row: 3417, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3418 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3418, expected_value: E12000001, label: geography} + - {column: D, row: 3418, expected_value: Females, label: sex} + - {column: E, row: 3418, expected_value: Total, label: employment type} + - {column: J, row: 3418, expected_value: Value, label: measure} + - {column: L, row: 3419, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3420 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3420, expected_value: E12000001, label: geography} + - {column: D, row: 3420, expected_value: Females, label: sex} + - {column: E, row: 3420, expected_value: Total, label: employment type} + - {column: J, row: 3420, expected_value: Value, label: measure} + - {column: L, row: 3421, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3422 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3422, expected_value: E12000001, label: geography} + - {column: D, row: 3422, expected_value: Females, label: sex} + - {column: E, row: 3422, expected_value: Total, label: employment type} + - {column: J, row: 3422, expected_value: Value, label: measure} + - {column: L, row: 3423, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3426 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3426, expected_value: E12000001, label: geography} + - {column: D, row: 3426, expected_value: Females, label: sex} + - {column: E, row: 3426, expected_value: Total, label: employment type} + - {column: J, row: 3426, expected_value: Value, label: measure} + - {column: L, row: 3427, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3430 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3430, expected_value: E12000001, label: geography} + - {column: D, row: 3430, expected_value: Females, label: sex} + - {column: E, row: 3430, expected_value: Total, label: employment type} + - {column: J, row: 3430, expected_value: Value, label: measure} + - {column: L, row: 3431, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3432 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3432, expected_value: E12000001, label: geography} + - {column: D, row: 3432, expected_value: Females, label: sex} + - {column: E, row: 3432, expected_value: Total, label: employment type} + - {column: J, row: 3432, expected_value: Value, label: measure} + - {column: L, row: 3433, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3434 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3434, expected_value: E12000001, label: geography} + - {column: D, row: 3434, expected_value: Females, label: sex} + - {column: E, row: 3434, expected_value: Total, label: employment type} + - {column: J, row: 3434, expected_value: Value, label: measure} + - {column: L, row: 3435, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3436 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3436, expected_value: E12000001, label: geography} + - {column: D, row: 3436, expected_value: Females, label: sex} + - {column: E, row: 3436, expected_value: Total, label: employment type} + - {column: J, row: 3436, expected_value: Value, label: measure} + - {column: L, row: 3437, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3438 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3438, expected_value: E12000001, label: geography} + - {column: D, row: 3438, expected_value: Females, label: sex} + - {column: E, row: 3438, expected_value: Total, label: employment type} + - {column: J, row: 3438, expected_value: Value, label: measure} + - {column: L, row: 3439, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3440 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3440, expected_value: E12000001, label: geography} + - {column: D, row: 3440, expected_value: Females, label: sex} + - {column: E, row: 3440, expected_value: Total, label: employment type} + - {column: J, row: 3440, expected_value: Value, label: measure} + - {column: L, row: 3441, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3442 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3442, expected_value: E12000001, label: geography} + - {column: D, row: 3442, expected_value: Females, label: sex} + - {column: E, row: 3442, expected_value: Total, label: employment type} + - {column: J, row: 3442, expected_value: Value, label: measure} + - {column: L, row: 3443, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3444 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3444, expected_value: E12000001, label: geography} + - {column: D, row: 3444, expected_value: Females, label: sex} + - {column: E, row: 3444, expected_value: Total, label: employment type} + - {column: J, row: 3444, expected_value: Value, label: measure} + - {column: L, row: 3445, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3446 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3446, expected_value: E12000001, label: geography} + - {column: D, row: 3446, expected_value: Females, label: sex} + - {column: E, row: 3446, expected_value: Total, label: employment type} + - {column: J, row: 3446, expected_value: Value, label: measure} + - {column: L, row: 3447, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3448 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3448, expected_value: E12000001, label: geography} + - {column: D, row: 3448, expected_value: Females, label: sex} + - {column: E, row: 3448, expected_value: Total, label: employment type} + - {column: J, row: 3448, expected_value: Value, label: measure} + - {column: L, row: 3449, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3450 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3450, expected_value: E12000001, label: geography} + - {column: D, row: 3450, expected_value: Females, label: sex} + - {column: E, row: 3450, expected_value: Total, label: employment type} + - {column: J, row: 3450, expected_value: Value, label: measure} + - {column: L, row: 3451, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3452 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3452, expected_value: E12000001, label: geography} + - {column: D, row: 3452, expected_value: Females, label: sex} + - {column: E, row: 3452, expected_value: Total, label: employment type} + - {column: J, row: 3452, expected_value: Value, label: measure} + - {column: L, row: 3453, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3454 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3454, expected_value: E12000001, label: geography} + - {column: D, row: 3454, expected_value: Females, label: sex} + - {column: E, row: 3454, expected_value: Total, label: employment type} + - {column: J, row: 3454, expected_value: Value, label: measure} + - {column: L, row: 3455, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3456 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3456, expected_value: E12000001, label: geography} + - {column: D, row: 3456, expected_value: Females, label: sex} + - {column: E, row: 3456, expected_value: Total, label: employment type} + - {column: J, row: 3456, expected_value: Value, label: measure} + - {column: L, row: 3457, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3387 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3387, expected_value: E12000001, label: geography} + - {column: D, row: 3387, expected_value: Females, label: sex} + - {column: E, row: 3387, expected_value: Total, label: employment type} + - {column: J, row: 3387, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3389 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3389, expected_value: E12000001, label: geography} + - {column: D, row: 3389, expected_value: Females, label: sex} + - {column: E, row: 3389, expected_value: Total, label: employment type} + - {column: J, row: 3389, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3391 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3391, expected_value: E12000001, label: geography} + - {column: D, row: 3391, expected_value: Females, label: sex} + - {column: E, row: 3391, expected_value: Total, label: employment type} + - {column: J, row: 3391, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3393 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3393, expected_value: E12000001, label: geography} + - {column: D, row: 3393, expected_value: Females, label: sex} + - {column: E, row: 3393, expected_value: Total, label: employment type} + - {column: J, row: 3393, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3395 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3395, expected_value: E12000001, label: geography} + - {column: D, row: 3395, expected_value: Females, label: sex} + - {column: E, row: 3395, expected_value: Total, label: employment type} + - {column: J, row: 3395, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3397 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3397, expected_value: E12000001, label: geography} + - {column: D, row: 3397, expected_value: Females, label: sex} + - {column: E, row: 3397, expected_value: Total, label: employment type} + - {column: J, row: 3397, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3399 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3399, expected_value: E12000001, label: geography} + - {column: D, row: 3399, expected_value: Females, label: sex} + - {column: E, row: 3399, expected_value: Total, label: employment type} + - {column: J, row: 3399, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3401 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3401, expected_value: E12000001, label: geography} + - {column: D, row: 3401, expected_value: Females, label: sex} + - {column: E, row: 3401, expected_value: Total, label: employment type} + - {column: J, row: 3401, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3403 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3403, expected_value: E12000001, label: geography} + - {column: D, row: 3403, expected_value: Females, label: sex} + - {column: E, row: 3403, expected_value: Total, label: employment type} + - {column: J, row: 3403, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3405 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3405, expected_value: E12000001, label: geography} + - {column: D, row: 3405, expected_value: Females, label: sex} + - {column: E, row: 3405, expected_value: Total, label: employment type} + - {column: J, row: 3405, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3407 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3407, expected_value: E12000001, label: geography} + - {column: D, row: 3407, expected_value: Females, label: sex} + - {column: E, row: 3407, expected_value: Total, label: employment type} + - {column: J, row: 3407, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3409 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3409, expected_value: E12000001, label: geography} + - {column: D, row: 3409, expected_value: Females, label: sex} + - {column: E, row: 3409, expected_value: Total, label: employment type} + - {column: J, row: 3409, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3411 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3411, expected_value: E12000001, label: geography} + - {column: D, row: 3411, expected_value: Females, label: sex} + - {column: E, row: 3411, expected_value: Total, label: employment type} + - {column: J, row: 3411, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3413 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3413, expected_value: E12000001, label: geography} + - {column: D, row: 3413, expected_value: Females, label: sex} + - {column: E, row: 3413, expected_value: Total, label: employment type} + - {column: J, row: 3413, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3415 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3415, expected_value: E12000001, label: geography} + - {column: D, row: 3415, expected_value: Females, label: sex} + - {column: E, row: 3415, expected_value: Total, label: employment type} + - {column: J, row: 3415, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3417 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3417, expected_value: E12000001, label: geography} + - {column: D, row: 3417, expected_value: Females, label: sex} + - {column: E, row: 3417, expected_value: Total, label: employment type} + - {column: J, row: 3417, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3419 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3419, expected_value: E12000001, label: geography} + - {column: D, row: 3419, expected_value: Females, label: sex} + - {column: E, row: 3419, expected_value: Total, label: employment type} + - {column: J, row: 3419, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3421 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3421, expected_value: E12000001, label: geography} + - {column: D, row: 3421, expected_value: Females, label: sex} + - {column: E, row: 3421, expected_value: Total, label: employment type} + - {column: J, row: 3421, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3423 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3423, expected_value: E12000001, label: geography} + - {column: D, row: 3423, expected_value: Females, label: sex} + - {column: E, row: 3423, expected_value: Total, label: employment type} + - {column: J, row: 3423, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3431 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3431, expected_value: E12000001, label: geography} + - {column: D, row: 3431, expected_value: Females, label: sex} + - {column: E, row: 3431, expected_value: Total, label: employment type} + - {column: J, row: 3431, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3433 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3433, expected_value: E12000001, label: geography} + - {column: D, row: 3433, expected_value: Females, label: sex} + - {column: E, row: 3433, expected_value: Total, label: employment type} + - {column: J, row: 3433, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3435 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3435, expected_value: E12000001, label: geography} + - {column: D, row: 3435, expected_value: Females, label: sex} + - {column: E, row: 3435, expected_value: Total, label: employment type} + - {column: J, row: 3435, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3437 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3437, expected_value: E12000001, label: geography} + - {column: D, row: 3437, expected_value: Females, label: sex} + - {column: E, row: 3437, expected_value: Total, label: employment type} + - {column: J, row: 3437, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3441 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3441, expected_value: E12000001, label: geography} + - {column: D, row: 3441, expected_value: Females, label: sex} + - {column: E, row: 3441, expected_value: Total, label: employment type} + - {column: J, row: 3441, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3443 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3443, expected_value: E12000001, label: geography} + - {column: D, row: 3443, expected_value: Females, label: sex} + - {column: E, row: 3443, expected_value: Total, label: employment type} + - {column: J, row: 3443, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3445 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3445, expected_value: E12000001, label: geography} + - {column: D, row: 3445, expected_value: Females, label: sex} + - {column: E, row: 3445, expected_value: Total, label: employment type} + - {column: J, row: 3445, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3447 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3447, expected_value: E12000001, label: geography} + - {column: D, row: 3447, expected_value: Females, label: sex} + - {column: E, row: 3447, expected_value: Total, label: employment type} + - {column: J, row: 3447, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3449 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3449, expected_value: E12000001, label: geography} + - {column: D, row: 3449, expected_value: Females, label: sex} + - {column: E, row: 3449, expected_value: Total, label: employment type} + - {column: J, row: 3449, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3453 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3453, expected_value: E12000001, label: geography} + - {column: D, row: 3453, expected_value: Females, label: sex} + - {column: E, row: 3453, expected_value: Total, label: employment type} + - {column: J, row: 3453, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3455 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3455, expected_value: E12000001, label: geography} + - {column: D, row: 3455, expected_value: Females, label: sex} + - {column: E, row: 3455, expected_value: Total, label: employment type} + - {column: J, row: 3455, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3457 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3457, expected_value: E12000001, label: geography} + - {column: D, row: 3457, expected_value: Females, label: sex} + - {column: E, row: 3457, expected_value: Total, label: employment type} + - {column: J, row: 3457, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3602 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3602, expected_value: E12000001, label: geography} + - {column: D, row: 3602, expected_value: Females, label: sex} + - {column: E, row: 3602, expected_value: Employee, label: employment type} + - {column: J, row: 3602, expected_value: Value, label: measure} + - {column: L, row: 3603, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3604 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3604, expected_value: E12000001, label: geography} + - {column: D, row: 3604, expected_value: Females, label: sex} + - {column: E, row: 3604, expected_value: Employee, label: employment type} + - {column: J, row: 3604, expected_value: Value, label: measure} + - {column: L, row: 3605, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3606 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3606, expected_value: E12000001, label: geography} + - {column: D, row: 3606, expected_value: Females, label: sex} + - {column: E, row: 3606, expected_value: Employee, label: employment type} + - {column: J, row: 3606, expected_value: Value, label: measure} + - {column: L, row: 3607, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3608 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3608, expected_value: E12000001, label: geography} + - {column: D, row: 3608, expected_value: Females, label: sex} + - {column: E, row: 3608, expected_value: Employee, label: employment type} + - {column: J, row: 3608, expected_value: Value, label: measure} + - {column: L, row: 3609, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3610 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3610, expected_value: E12000001, label: geography} + - {column: D, row: 3610, expected_value: Females, label: sex} + - {column: E, row: 3610, expected_value: Employee, label: employment type} + - {column: J, row: 3610, expected_value: Value, label: measure} + - {column: L, row: 3611, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3612 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3612, expected_value: E12000001, label: geography} + - {column: D, row: 3612, expected_value: Females, label: sex} + - {column: E, row: 3612, expected_value: Employee, label: employment type} + - {column: J, row: 3612, expected_value: Value, label: measure} + - {column: L, row: 3613, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3614 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3614, expected_value: E12000001, label: geography} + - {column: D, row: 3614, expected_value: Females, label: sex} + - {column: E, row: 3614, expected_value: Employee, label: employment type} + - {column: J, row: 3614, expected_value: Value, label: measure} + - {column: L, row: 3615, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3616 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3616, expected_value: E12000001, label: geography} + - {column: D, row: 3616, expected_value: Females, label: sex} + - {column: E, row: 3616, expected_value: Employee, label: employment type} + - {column: J, row: 3616, expected_value: Value, label: measure} + - {column: L, row: 3617, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3618 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3618, expected_value: E12000001, label: geography} + - {column: D, row: 3618, expected_value: Females, label: sex} + - {column: E, row: 3618, expected_value: Employee, label: employment type} + - {column: J, row: 3618, expected_value: Value, label: measure} + - {column: L, row: 3619, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3620 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3620, expected_value: E12000001, label: geography} + - {column: D, row: 3620, expected_value: Females, label: sex} + - {column: E, row: 3620, expected_value: Employee, label: employment type} + - {column: J, row: 3620, expected_value: Value, label: measure} + - {column: L, row: 3621, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3622 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3622, expected_value: E12000001, label: geography} + - {column: D, row: 3622, expected_value: Females, label: sex} + - {column: E, row: 3622, expected_value: Employee, label: employment type} + - {column: J, row: 3622, expected_value: Value, label: measure} + - {column: L, row: 3623, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3624 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3624, expected_value: E12000001, label: geography} + - {column: D, row: 3624, expected_value: Females, label: sex} + - {column: E, row: 3624, expected_value: Employee, label: employment type} + - {column: J, row: 3624, expected_value: Value, label: measure} + - {column: L, row: 3625, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3626 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3626, expected_value: E12000001, label: geography} + - {column: D, row: 3626, expected_value: Females, label: sex} + - {column: E, row: 3626, expected_value: Employee, label: employment type} + - {column: J, row: 3626, expected_value: Value, label: measure} + - {column: L, row: 3627, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3628 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3628, expected_value: E12000001, label: geography} + - {column: D, row: 3628, expected_value: Females, label: sex} + - {column: E, row: 3628, expected_value: Employee, label: employment type} + - {column: J, row: 3628, expected_value: Value, label: measure} + - {column: L, row: 3629, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3630 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3630, expected_value: E12000001, label: geography} + - {column: D, row: 3630, expected_value: Females, label: sex} + - {column: E, row: 3630, expected_value: Employee, label: employment type} + - {column: J, row: 3630, expected_value: Value, label: measure} + - {column: L, row: 3631, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3632 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3632, expected_value: E12000001, label: geography} + - {column: D, row: 3632, expected_value: Females, label: sex} + - {column: E, row: 3632, expected_value: Employee, label: employment type} + - {column: J, row: 3632, expected_value: Value, label: measure} + - {column: L, row: 3633, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3634 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3634, expected_value: E12000001, label: geography} + - {column: D, row: 3634, expected_value: Females, label: sex} + - {column: E, row: 3634, expected_value: Employee, label: employment type} + - {column: J, row: 3634, expected_value: Value, label: measure} + - {column: L, row: 3635, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3636 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3636, expected_value: E12000001, label: geography} + - {column: D, row: 3636, expected_value: Females, label: sex} + - {column: E, row: 3636, expected_value: Employee, label: employment type} + - {column: J, row: 3636, expected_value: Value, label: measure} + - {column: L, row: 3637, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3638 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3638, expected_value: E12000001, label: geography} + - {column: D, row: 3638, expected_value: Females, label: sex} + - {column: E, row: 3638, expected_value: Employee, label: employment type} + - {column: J, row: 3638, expected_value: Value, label: measure} + - {column: L, row: 3639, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3642 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3642, expected_value: E12000001, label: geography} + - {column: D, row: 3642, expected_value: Females, label: sex} + - {column: E, row: 3642, expected_value: Employee, label: employment type} + - {column: J, row: 3642, expected_value: Value, label: measure} + - {column: L, row: 3643, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3646 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3646, expected_value: E12000001, label: geography} + - {column: D, row: 3646, expected_value: Females, label: sex} + - {column: E, row: 3646, expected_value: Employee, label: employment type} + - {column: J, row: 3646, expected_value: Value, label: measure} + - {column: L, row: 3647, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3648 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3648, expected_value: E12000001, label: geography} + - {column: D, row: 3648, expected_value: Females, label: sex} + - {column: E, row: 3648, expected_value: Employee, label: employment type} + - {column: J, row: 3648, expected_value: Value, label: measure} + - {column: L, row: 3649, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3650 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3650, expected_value: E12000001, label: geography} + - {column: D, row: 3650, expected_value: Females, label: sex} + - {column: E, row: 3650, expected_value: Employee, label: employment type} + - {column: J, row: 3650, expected_value: Value, label: measure} + - {column: L, row: 3651, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3652 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3652, expected_value: E12000001, label: geography} + - {column: D, row: 3652, expected_value: Females, label: sex} + - {column: E, row: 3652, expected_value: Employee, label: employment type} + - {column: J, row: 3652, expected_value: Value, label: measure} + - {column: L, row: 3653, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3654 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3654, expected_value: E12000001, label: geography} + - {column: D, row: 3654, expected_value: Females, label: sex} + - {column: E, row: 3654, expected_value: Employee, label: employment type} + - {column: J, row: 3654, expected_value: Value, label: measure} + - {column: L, row: 3655, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3656 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3656, expected_value: E12000001, label: geography} + - {column: D, row: 3656, expected_value: Females, label: sex} + - {column: E, row: 3656, expected_value: Employee, label: employment type} + - {column: J, row: 3656, expected_value: Value, label: measure} + - {column: L, row: 3657, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3658 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3658, expected_value: E12000001, label: geography} + - {column: D, row: 3658, expected_value: Females, label: sex} + - {column: E, row: 3658, expected_value: Employee, label: employment type} + - {column: J, row: 3658, expected_value: Value, label: measure} + - {column: L, row: 3659, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3660 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3660, expected_value: E12000001, label: geography} + - {column: D, row: 3660, expected_value: Females, label: sex} + - {column: E, row: 3660, expected_value: Employee, label: employment type} + - {column: J, row: 3660, expected_value: Value, label: measure} + - {column: L, row: 3661, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3662 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3662, expected_value: E12000001, label: geography} + - {column: D, row: 3662, expected_value: Females, label: sex} + - {column: E, row: 3662, expected_value: Employee, label: employment type} + - {column: J, row: 3662, expected_value: Value, label: measure} + - {column: L, row: 3663, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3664 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3664, expected_value: E12000001, label: geography} + - {column: D, row: 3664, expected_value: Females, label: sex} + - {column: E, row: 3664, expected_value: Employee, label: employment type} + - {column: J, row: 3664, expected_value: Value, label: measure} + - {column: L, row: 3665, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3666 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3666, expected_value: E12000001, label: geography} + - {column: D, row: 3666, expected_value: Females, label: sex} + - {column: E, row: 3666, expected_value: Employee, label: employment type} + - {column: J, row: 3666, expected_value: Value, label: measure} + - {column: L, row: 3667, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3668 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3668, expected_value: E12000001, label: geography} + - {column: D, row: 3668, expected_value: Females, label: sex} + - {column: E, row: 3668, expected_value: Employee, label: employment type} + - {column: J, row: 3668, expected_value: Value, label: measure} + - {column: L, row: 3669, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3670 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3670, expected_value: E12000001, label: geography} + - {column: D, row: 3670, expected_value: Females, label: sex} + - {column: E, row: 3670, expected_value: Employee, label: employment type} + - {column: J, row: 3670, expected_value: Value, label: measure} + - {column: L, row: 3671, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3672 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3672, expected_value: E12000001, label: geography} + - {column: D, row: 3672, expected_value: Females, label: sex} + - {column: E, row: 3672, expected_value: Employee, label: employment type} + - {column: J, row: 3672, expected_value: Value, label: measure} + - {column: L, row: 3673, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3603 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3603, expected_value: E12000001, label: geography} + - {column: D, row: 3603, expected_value: Females, label: sex} + - {column: E, row: 3603, expected_value: Employee, label: employment type} + - {column: J, row: 3603, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3605 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3605, expected_value: E12000001, label: geography} + - {column: D, row: 3605, expected_value: Females, label: sex} + - {column: E, row: 3605, expected_value: Employee, label: employment type} + - {column: J, row: 3605, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3607 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3607, expected_value: E12000001, label: geography} + - {column: D, row: 3607, expected_value: Females, label: sex} + - {column: E, row: 3607, expected_value: Employee, label: employment type} + - {column: J, row: 3607, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3609 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3609, expected_value: E12000001, label: geography} + - {column: D, row: 3609, expected_value: Females, label: sex} + - {column: E, row: 3609, expected_value: Employee, label: employment type} + - {column: J, row: 3609, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3611 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3611, expected_value: E12000001, label: geography} + - {column: D, row: 3611, expected_value: Females, label: sex} + - {column: E, row: 3611, expected_value: Employee, label: employment type} + - {column: J, row: 3611, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3613 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3613, expected_value: E12000001, label: geography} + - {column: D, row: 3613, expected_value: Females, label: sex} + - {column: E, row: 3613, expected_value: Employee, label: employment type} + - {column: J, row: 3613, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3615 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3615, expected_value: E12000001, label: geography} + - {column: D, row: 3615, expected_value: Females, label: sex} + - {column: E, row: 3615, expected_value: Employee, label: employment type} + - {column: J, row: 3615, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3617 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3617, expected_value: E12000001, label: geography} + - {column: D, row: 3617, expected_value: Females, label: sex} + - {column: E, row: 3617, expected_value: Employee, label: employment type} + - {column: J, row: 3617, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3619 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3619, expected_value: E12000001, label: geography} + - {column: D, row: 3619, expected_value: Females, label: sex} + - {column: E, row: 3619, expected_value: Employee, label: employment type} + - {column: J, row: 3619, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3621 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3621, expected_value: E12000001, label: geography} + - {column: D, row: 3621, expected_value: Females, label: sex} + - {column: E, row: 3621, expected_value: Employee, label: employment type} + - {column: J, row: 3621, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3623 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3623, expected_value: E12000001, label: geography} + - {column: D, row: 3623, expected_value: Females, label: sex} + - {column: E, row: 3623, expected_value: Employee, label: employment type} + - {column: J, row: 3623, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3625 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3625, expected_value: E12000001, label: geography} + - {column: D, row: 3625, expected_value: Females, label: sex} + - {column: E, row: 3625, expected_value: Employee, label: employment type} + - {column: J, row: 3625, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3627 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3627, expected_value: E12000001, label: geography} + - {column: D, row: 3627, expected_value: Females, label: sex} + - {column: E, row: 3627, expected_value: Employee, label: employment type} + - {column: J, row: 3627, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3629 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3629, expected_value: E12000001, label: geography} + - {column: D, row: 3629, expected_value: Females, label: sex} + - {column: E, row: 3629, expected_value: Employee, label: employment type} + - {column: J, row: 3629, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3631 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3631, expected_value: E12000001, label: geography} + - {column: D, row: 3631, expected_value: Females, label: sex} + - {column: E, row: 3631, expected_value: Employee, label: employment type} + - {column: J, row: 3631, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3633 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3633, expected_value: E12000001, label: geography} + - {column: D, row: 3633, expected_value: Females, label: sex} + - {column: E, row: 3633, expected_value: Employee, label: employment type} + - {column: J, row: 3633, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3635 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3635, expected_value: E12000001, label: geography} + - {column: D, row: 3635, expected_value: Females, label: sex} + - {column: E, row: 3635, expected_value: Employee, label: employment type} + - {column: J, row: 3635, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3637 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3637, expected_value: E12000001, label: geography} + - {column: D, row: 3637, expected_value: Females, label: sex} + - {column: E, row: 3637, expected_value: Employee, label: employment type} + - {column: J, row: 3637, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3639 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3639, expected_value: E12000001, label: geography} + - {column: D, row: 3639, expected_value: Females, label: sex} + - {column: E, row: 3639, expected_value: Employee, label: employment type} + - {column: J, row: 3639, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3647 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3647, expected_value: E12000001, label: geography} + - {column: D, row: 3647, expected_value: Females, label: sex} + - {column: E, row: 3647, expected_value: Employee, label: employment type} + - {column: J, row: 3647, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3649 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3649, expected_value: E12000001, label: geography} + - {column: D, row: 3649, expected_value: Females, label: sex} + - {column: E, row: 3649, expected_value: Employee, label: employment type} + - {column: J, row: 3649, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3651 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3651, expected_value: E12000001, label: geography} + - {column: D, row: 3651, expected_value: Females, label: sex} + - {column: E, row: 3651, expected_value: Employee, label: employment type} + - {column: J, row: 3651, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3653 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3653, expected_value: E12000001, label: geography} + - {column: D, row: 3653, expected_value: Females, label: sex} + - {column: E, row: 3653, expected_value: Employee, label: employment type} + - {column: J, row: 3653, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3657 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3657, expected_value: E12000001, label: geography} + - {column: D, row: 3657, expected_value: Females, label: sex} + - {column: E, row: 3657, expected_value: Employee, label: employment type} + - {column: J, row: 3657, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3659 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3659, expected_value: E12000001, label: geography} + - {column: D, row: 3659, expected_value: Females, label: sex} + - {column: E, row: 3659, expected_value: Employee, label: employment type} + - {column: J, row: 3659, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3661 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3661, expected_value: E12000001, label: geography} + - {column: D, row: 3661, expected_value: Females, label: sex} + - {column: E, row: 3661, expected_value: Employee, label: employment type} + - {column: J, row: 3661, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3663 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3663, expected_value: E12000001, label: geography} + - {column: D, row: 3663, expected_value: Females, label: sex} + - {column: E, row: 3663, expected_value: Employee, label: employment type} + - {column: J, row: 3663, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3665 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3665, expected_value: E12000001, label: geography} + - {column: D, row: 3665, expected_value: Females, label: sex} + - {column: E, row: 3665, expected_value: Employee, label: employment type} + - {column: J, row: 3665, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3669 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3669, expected_value: E12000001, label: geography} + - {column: D, row: 3669, expected_value: Females, label: sex} + - {column: E, row: 3669, expected_value: Employee, label: employment type} + - {column: J, row: 3669, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3671 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3671, expected_value: E12000001, label: geography} + - {column: D, row: 3671, expected_value: Females, label: sex} + - {column: E, row: 3671, expected_value: Employee, label: employment type} + - {column: J, row: 3671, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3673 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3673, expected_value: E12000001, label: geography} + - {column: D, row: 3673, expected_value: Females, label: sex} + - {column: E, row: 3673, expected_value: Employee, label: employment type} + - {column: J, row: 3673, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3818 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3818, expected_value: E12000001, label: geography} + - {column: D, row: 3818, expected_value: Females, label: sex} + - {column: E, row: 3818, expected_value: Self-employed, label: employment type} + - {column: J, row: 3818, expected_value: Value, label: measure} + - {column: L, row: 3819, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3820 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3820, expected_value: E12000001, label: geography} + - {column: D, row: 3820, expected_value: Females, label: sex} + - {column: E, row: 3820, expected_value: Self-employed, label: employment type} + - {column: J, row: 3820, expected_value: Value, label: measure} + - {column: L, row: 3821, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3822 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3822, expected_value: E12000001, label: geography} + - {column: D, row: 3822, expected_value: Females, label: sex} + - {column: E, row: 3822, expected_value: Self-employed, label: employment type} + - {column: J, row: 3822, expected_value: Value, label: measure} + - {column: L, row: 3823, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3824 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3824, expected_value: E12000001, label: geography} + - {column: D, row: 3824, expected_value: Females, label: sex} + - {column: E, row: 3824, expected_value: Self-employed, label: employment type} + - {column: J, row: 3824, expected_value: Value, label: measure} + - {column: L, row: 3825, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3826 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3826, expected_value: E12000001, label: geography} + - {column: D, row: 3826, expected_value: Females, label: sex} + - {column: E, row: 3826, expected_value: Self-employed, label: employment type} + - {column: J, row: 3826, expected_value: Value, label: measure} + - {column: L, row: 3827, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3830 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3830, expected_value: E12000001, label: geography} + - {column: D, row: 3830, expected_value: Females, label: sex} + - {column: E, row: 3830, expected_value: Self-employed, label: employment type} + - {column: J, row: 3830, expected_value: Value, label: measure} + - {column: L, row: 3831, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3832 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3832, expected_value: E12000001, label: geography} + - {column: D, row: 3832, expected_value: Females, label: sex} + - {column: E, row: 3832, expected_value: Self-employed, label: employment type} + - {column: J, row: 3832, expected_value: Value, label: measure} + - {column: L, row: 3833, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3834 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3834, expected_value: E12000001, label: geography} + - {column: D, row: 3834, expected_value: Females, label: sex} + - {column: E, row: 3834, expected_value: Self-employed, label: employment type} + - {column: J, row: 3834, expected_value: Value, label: measure} + - {column: L, row: 3835, expected_value: G, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3836 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3836, expected_value: E12000001, label: geography} + - {column: D, row: 3836, expected_value: Females, label: sex} + - {column: E, row: 3836, expected_value: Self-employed, label: employment type} + - {column: J, row: 3836, expected_value: Value, label: measure} + - {column: L, row: 3837, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3838 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3838, expected_value: E12000001, label: geography} + - {column: D, row: 3838, expected_value: Females, label: sex} + - {column: E, row: 3838, expected_value: Self-employed, label: employment type} + - {column: J, row: 3838, expected_value: Value, label: measure} + - {column: L, row: 3839, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3840 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3840, expected_value: E12000001, label: geography} + - {column: D, row: 3840, expected_value: Females, label: sex} + - {column: E, row: 3840, expected_value: Self-employed, label: employment type} + - {column: J, row: 3840, expected_value: Value, label: measure} + - {column: L, row: 3841, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3844 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3844, expected_value: E12000001, label: geography} + - {column: D, row: 3844, expected_value: Females, label: sex} + - {column: E, row: 3844, expected_value: Self-employed, label: employment type} + - {column: J, row: 3844, expected_value: Value, label: measure} + - {column: L, row: 3845, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3846 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3846, expected_value: E12000001, label: geography} + - {column: D, row: 3846, expected_value: Females, label: sex} + - {column: E, row: 3846, expected_value: Self-employed, label: employment type} + - {column: J, row: 3846, expected_value: Value, label: measure} + - {column: L, row: 3847, expected_value: G, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3848 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3848, expected_value: E12000001, label: geography} + - {column: D, row: 3848, expected_value: Females, label: sex} + - {column: E, row: 3848, expected_value: Self-employed, label: employment type} + - {column: J, row: 3848, expected_value: Value, label: measure} + - {column: L, row: 3849, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3850 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3850, expected_value: E12000001, label: geography} + - {column: D, row: 3850, expected_value: Females, label: sex} + - {column: E, row: 3850, expected_value: Self-employed, label: employment type} + - {column: J, row: 3850, expected_value: Value, label: measure} + - {column: L, row: 3851, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3854 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3854, expected_value: E12000001, label: geography} + - {column: D, row: 3854, expected_value: Females, label: sex} + - {column: E, row: 3854, expected_value: Self-employed, label: employment type} + - {column: J, row: 3854, expected_value: Value, label: measure} + - {column: L, row: 3855, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3862 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3862, expected_value: E12000001, label: geography} + - {column: D, row: 3862, expected_value: Females, label: sex} + - {column: E, row: 3862, expected_value: Self-employed, label: employment type} + - {column: J, row: 3862, expected_value: Value, label: measure} + - {column: L, row: 3863, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3864 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3864, expected_value: E12000001, label: geography} + - {column: D, row: 3864, expected_value: Females, label: sex} + - {column: E, row: 3864, expected_value: Self-employed, label: employment type} + - {column: J, row: 3864, expected_value: Value, label: measure} + - {column: L, row: 3865, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3866 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3866, expected_value: E12000001, label: geography} + - {column: D, row: 3866, expected_value: Females, label: sex} + - {column: E, row: 3866, expected_value: Self-employed, label: employment type} + - {column: J, row: 3866, expected_value: Value, label: measure} + - {column: L, row: 3867, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3868 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3868, expected_value: E12000001, label: geography} + - {column: D, row: 3868, expected_value: Females, label: sex} + - {column: E, row: 3868, expected_value: Self-employed, label: employment type} + - {column: J, row: 3868, expected_value: Value, label: measure} + - {column: L, row: 3869, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3872 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3872, expected_value: E12000001, label: geography} + - {column: D, row: 3872, expected_value: Females, label: sex} + - {column: E, row: 3872, expected_value: Self-employed, label: employment type} + - {column: J, row: 3872, expected_value: Value, label: measure} + - {column: L, row: 3873, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3874 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3874, expected_value: E12000001, label: geography} + - {column: D, row: 3874, expected_value: Females, label: sex} + - {column: E, row: 3874, expected_value: Self-employed, label: employment type} + - {column: J, row: 3874, expected_value: Value, label: measure} + - {column: L, row: 3875, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3878 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3878, expected_value: E12000001, label: geography} + - {column: D, row: 3878, expected_value: Females, label: sex} + - {column: E, row: 3878, expected_value: Self-employed, label: employment type} + - {column: J, row: 3878, expected_value: Value, label: measure} + - {column: L, row: 3879, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3882 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3882, expected_value: E12000001, label: geography} + - {column: D, row: 3882, expected_value: Females, label: sex} + - {column: E, row: 3882, expected_value: Self-employed, label: employment type} + - {column: J, row: 3882, expected_value: Value, label: measure} + - {column: L, row: 3883, expected_value: F, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3884 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3884, expected_value: E12000001, label: geography} + - {column: D, row: 3884, expected_value: Females, label: sex} + - {column: E, row: 3884, expected_value: Self-employed, label: employment type} + - {column: J, row: 3884, expected_value: Value, label: measure} + - {column: L, row: 3885, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3888 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3888, expected_value: E12000001, label: geography} + - {column: D, row: 3888, expected_value: Females, label: sex} + - {column: E, row: 3888, expected_value: Self-employed, label: employment type} + - {column: J, row: 3888, expected_value: Value, label: measure} + - {column: L, row: 3889, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3819 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3819, expected_value: E12000001, label: geography} + - {column: D, row: 3819, expected_value: Females, label: sex} + - {column: E, row: 3819, expected_value: Self-employed, label: employment type} + - {column: J, row: 3819, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3821 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3821, expected_value: E12000001, label: geography} + - {column: D, row: 3821, expected_value: Females, label: sex} + - {column: E, row: 3821, expected_value: Self-employed, label: employment type} + - {column: J, row: 3821, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3823 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3823, expected_value: E12000001, label: geography} + - {column: D, row: 3823, expected_value: Females, label: sex} + - {column: E, row: 3823, expected_value: Self-employed, label: employment type} + - {column: J, row: 3823, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3825 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3825, expected_value: E12000001, label: geography} + - {column: D, row: 3825, expected_value: Females, label: sex} + - {column: E, row: 3825, expected_value: Self-employed, label: employment type} + - {column: J, row: 3825, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3827 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3827, expected_value: E12000001, label: geography} + - {column: D, row: 3827, expected_value: Females, label: sex} + - {column: E, row: 3827, expected_value: Self-employed, label: employment type} + - {column: J, row: 3827, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3837 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3837, expected_value: E12000001, label: geography} + - {column: D, row: 3837, expected_value: Females, label: sex} + - {column: E, row: 3837, expected_value: Self-employed, label: employment type} + - {column: J, row: 3837, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3845 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3845, expected_value: E12000001, label: geography} + - {column: D, row: 3845, expected_value: Females, label: sex} + - {column: E, row: 3845, expected_value: Self-employed, label: employment type} + - {column: J, row: 3845, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3849 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3849, expected_value: E12000001, label: geography} + - {column: D, row: 3849, expected_value: Females, label: sex} + - {column: E, row: 3849, expected_value: Self-employed, label: employment type} + - {column: J, row: 3849, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3851 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3851, expected_value: E12000001, label: geography} + - {column: D, row: 3851, expected_value: Females, label: sex} + - {column: E, row: 3851, expected_value: Self-employed, label: employment type} + - {column: J, row: 3851, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3855 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3855, expected_value: E12000001, label: geography} + - {column: D, row: 3855, expected_value: Females, label: sex} + - {column: E, row: 3855, expected_value: Self-employed, label: employment type} + - {column: J, row: 3855, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3863 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3863, expected_value: E12000001, label: geography} + - {column: D, row: 3863, expected_value: Females, label: sex} + - {column: E, row: 3863, expected_value: Self-employed, label: employment type} + - {column: J, row: 3863, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3865 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3865, expected_value: E12000001, label: geography} + - {column: D, row: 3865, expected_value: Females, label: sex} + - {column: E, row: 3865, expected_value: Self-employed, label: employment type} + - {column: J, row: 3865, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3867 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3867, expected_value: E12000001, label: geography} + - {column: D, row: 3867, expected_value: Females, label: sex} + - {column: E, row: 3867, expected_value: Self-employed, label: employment type} + - {column: J, row: 3867, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3869 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3869, expected_value: E12000001, label: geography} + - {column: D, row: 3869, expected_value: Females, label: sex} + - {column: E, row: 3869, expected_value: Self-employed, label: employment type} + - {column: J, row: 3869, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3885 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3885, expected_value: E12000001, label: geography} + - {column: D, row: 3885, expected_value: Females, label: sex} + - {column: E, row: 3885, expected_value: Self-employed, label: employment type} + - {column: J, row: 3885, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3889 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3889, expected_value: E12000001, label: geography} + - {column: D, row: 3889, expected_value: Females, label: sex} + - {column: E, row: 3889, expected_value: Self-employed, label: employment type} + - {column: J, row: 3889, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3890 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3890, expected_value: E12000002, label: geography} + - {column: D, row: 3890, expected_value: All persons, label: sex} + - {column: E, row: 3890, expected_value: Total, label: employment type} + - {column: J, row: 3890, expected_value: Value, label: measure} + - {column: L, row: 3891, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3892 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3892, expected_value: E12000002, label: geography} + - {column: D, row: 3892, expected_value: All persons, label: sex} + - {column: E, row: 3892, expected_value: Total, label: employment type} + - {column: J, row: 3892, expected_value: Value, label: measure} + - {column: L, row: 3893, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3894 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3894, expected_value: E12000002, label: geography} + - {column: D, row: 3894, expected_value: All persons, label: sex} + - {column: E, row: 3894, expected_value: Total, label: employment type} + - {column: J, row: 3894, expected_value: Value, label: measure} + - {column: L, row: 3895, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3896 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3896, expected_value: E12000002, label: geography} + - {column: D, row: 3896, expected_value: All persons, label: sex} + - {column: E, row: 3896, expected_value: Total, label: employment type} + - {column: J, row: 3896, expected_value: Value, label: measure} + - {column: L, row: 3897, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3898 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3898, expected_value: E12000002, label: geography} + - {column: D, row: 3898, expected_value: All persons, label: sex} + - {column: E, row: 3898, expected_value: Total, label: employment type} + - {column: J, row: 3898, expected_value: Value, label: measure} + - {column: L, row: 3899, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3900 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3900, expected_value: E12000002, label: geography} + - {column: D, row: 3900, expected_value: All persons, label: sex} + - {column: E, row: 3900, expected_value: Total, label: employment type} + - {column: J, row: 3900, expected_value: Value, label: measure} + - {column: L, row: 3901, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3902 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3902, expected_value: E12000002, label: geography} + - {column: D, row: 3902, expected_value: All persons, label: sex} + - {column: E, row: 3902, expected_value: Total, label: employment type} + - {column: J, row: 3902, expected_value: Value, label: measure} + - {column: L, row: 3903, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3904 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3904, expected_value: E12000002, label: geography} + - {column: D, row: 3904, expected_value: All persons, label: sex} + - {column: E, row: 3904, expected_value: Total, label: employment type} + - {column: J, row: 3904, expected_value: Value, label: measure} + - {column: L, row: 3905, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3906 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3906, expected_value: E12000002, label: geography} + - {column: D, row: 3906, expected_value: All persons, label: sex} + - {column: E, row: 3906, expected_value: Total, label: employment type} + - {column: J, row: 3906, expected_value: Value, label: measure} + - {column: L, row: 3907, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3908 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3908, expected_value: E12000002, label: geography} + - {column: D, row: 3908, expected_value: All persons, label: sex} + - {column: E, row: 3908, expected_value: Total, label: employment type} + - {column: J, row: 3908, expected_value: Value, label: measure} + - {column: L, row: 3909, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3910 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3910, expected_value: E12000002, label: geography} + - {column: D, row: 3910, expected_value: All persons, label: sex} + - {column: E, row: 3910, expected_value: Total, label: employment type} + - {column: J, row: 3910, expected_value: Value, label: measure} + - {column: L, row: 3911, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3912 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3912, expected_value: E12000002, label: geography} + - {column: D, row: 3912, expected_value: All persons, label: sex} + - {column: E, row: 3912, expected_value: Total, label: employment type} + - {column: J, row: 3912, expected_value: Value, label: measure} + - {column: L, row: 3913, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3914 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3914, expected_value: E12000002, label: geography} + - {column: D, row: 3914, expected_value: All persons, label: sex} + - {column: E, row: 3914, expected_value: Total, label: employment type} + - {column: J, row: 3914, expected_value: Value, label: measure} + - {column: L, row: 3915, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3916 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3916, expected_value: E12000002, label: geography} + - {column: D, row: 3916, expected_value: All persons, label: sex} + - {column: E, row: 3916, expected_value: Total, label: employment type} + - {column: J, row: 3916, expected_value: Value, label: measure} + - {column: L, row: 3917, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3918 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3918, expected_value: E12000002, label: geography} + - {column: D, row: 3918, expected_value: All persons, label: sex} + - {column: E, row: 3918, expected_value: Total, label: employment type} + - {column: J, row: 3918, expected_value: Value, label: measure} + - {column: L, row: 3919, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3920 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3920, expected_value: E12000002, label: geography} + - {column: D, row: 3920, expected_value: All persons, label: sex} + - {column: E, row: 3920, expected_value: Total, label: employment type} + - {column: J, row: 3920, expected_value: Value, label: measure} + - {column: L, row: 3921, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3922 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3922, expected_value: E12000002, label: geography} + - {column: D, row: 3922, expected_value: All persons, label: sex} + - {column: E, row: 3922, expected_value: Total, label: employment type} + - {column: J, row: 3922, expected_value: Value, label: measure} + - {column: L, row: 3923, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3924 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3924, expected_value: E12000002, label: geography} + - {column: D, row: 3924, expected_value: All persons, label: sex} + - {column: E, row: 3924, expected_value: Total, label: employment type} + - {column: J, row: 3924, expected_value: Value, label: measure} + - {column: L, row: 3925, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3926 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3926, expected_value: E12000002, label: geography} + - {column: D, row: 3926, expected_value: All persons, label: sex} + - {column: E, row: 3926, expected_value: Total, label: employment type} + - {column: J, row: 3926, expected_value: Value, label: measure} + - {column: L, row: 3927, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3928 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3928, expected_value: E12000002, label: geography} + - {column: D, row: 3928, expected_value: All persons, label: sex} + - {column: E, row: 3928, expected_value: Total, label: employment type} + - {column: J, row: 3928, expected_value: Value, label: measure} + - {column: L, row: 3929, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3930 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3930, expected_value: E12000002, label: geography} + - {column: D, row: 3930, expected_value: All persons, label: sex} + - {column: E, row: 3930, expected_value: Total, label: employment type} + - {column: J, row: 3930, expected_value: Value, label: measure} + - {column: L, row: 3931, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3932 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3932, expected_value: E12000002, label: geography} + - {column: D, row: 3932, expected_value: All persons, label: sex} + - {column: E, row: 3932, expected_value: Total, label: employment type} + - {column: J, row: 3932, expected_value: Value, label: measure} + - {column: L, row: 3933, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3934 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3934, expected_value: E12000002, label: geography} + - {column: D, row: 3934, expected_value: All persons, label: sex} + - {column: E, row: 3934, expected_value: Total, label: employment type} + - {column: J, row: 3934, expected_value: Value, label: measure} + - {column: L, row: 3935, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3936 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3936, expected_value: E12000002, label: geography} + - {column: D, row: 3936, expected_value: All persons, label: sex} + - {column: E, row: 3936, expected_value: Total, label: employment type} + - {column: J, row: 3936, expected_value: Value, label: measure} + - {column: L, row: 3937, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3938 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3938, expected_value: E12000002, label: geography} + - {column: D, row: 3938, expected_value: All persons, label: sex} + - {column: E, row: 3938, expected_value: Total, label: employment type} + - {column: J, row: 3938, expected_value: Value, label: measure} + - {column: L, row: 3939, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3940 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3940, expected_value: E12000002, label: geography} + - {column: D, row: 3940, expected_value: All persons, label: sex} + - {column: E, row: 3940, expected_value: Total, label: employment type} + - {column: J, row: 3940, expected_value: Value, label: measure} + - {column: L, row: 3941, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3942 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3942, expected_value: E12000002, label: geography} + - {column: D, row: 3942, expected_value: All persons, label: sex} + - {column: E, row: 3942, expected_value: Total, label: employment type} + - {column: J, row: 3942, expected_value: Value, label: measure} + - {column: L, row: 3943, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3944 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3944, expected_value: E12000002, label: geography} + - {column: D, row: 3944, expected_value: All persons, label: sex} + - {column: E, row: 3944, expected_value: Total, label: employment type} + - {column: J, row: 3944, expected_value: Value, label: measure} + - {column: L, row: 3945, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3946 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3946, expected_value: E12000002, label: geography} + - {column: D, row: 3946, expected_value: All persons, label: sex} + - {column: E, row: 3946, expected_value: Total, label: employment type} + - {column: J, row: 3946, expected_value: Value, label: measure} + - {column: L, row: 3947, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3948 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3948, expected_value: E12000002, label: geography} + - {column: D, row: 3948, expected_value: All persons, label: sex} + - {column: E, row: 3948, expected_value: Total, label: employment type} + - {column: J, row: 3948, expected_value: Value, label: measure} + - {column: L, row: 3949, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3950 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3950, expected_value: E12000002, label: geography} + - {column: D, row: 3950, expected_value: All persons, label: sex} + - {column: E, row: 3950, expected_value: Total, label: employment type} + - {column: J, row: 3950, expected_value: Value, label: measure} + - {column: L, row: 3951, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3952 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3952, expected_value: E12000002, label: geography} + - {column: D, row: 3952, expected_value: All persons, label: sex} + - {column: E, row: 3952, expected_value: Total, label: employment type} + - {column: J, row: 3952, expected_value: Value, label: measure} + - {column: L, row: 3953, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3954 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3954, expected_value: E12000002, label: geography} + - {column: D, row: 3954, expected_value: All persons, label: sex} + - {column: E, row: 3954, expected_value: Total, label: employment type} + - {column: J, row: 3954, expected_value: Value, label: measure} + - {column: L, row: 3955, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3956 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3956, expected_value: E12000002, label: geography} + - {column: D, row: 3956, expected_value: All persons, label: sex} + - {column: E, row: 3956, expected_value: Total, label: employment type} + - {column: J, row: 3956, expected_value: Value, label: measure} + - {column: L, row: 3957, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3958 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3958, expected_value: E12000002, label: geography} + - {column: D, row: 3958, expected_value: All persons, label: sex} + - {column: E, row: 3958, expected_value: Total, label: employment type} + - {column: J, row: 3958, expected_value: Value, label: measure} + - {column: L, row: 3959, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3960 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3960, expected_value: E12000002, label: geography} + - {column: D, row: 3960, expected_value: All persons, label: sex} + - {column: E, row: 3960, expected_value: Total, label: employment type} + - {column: J, row: 3960, expected_value: Value, label: measure} + - {column: L, row: 3961, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3891 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3891, expected_value: E12000002, label: geography} + - {column: D, row: 3891, expected_value: All persons, label: sex} + - {column: E, row: 3891, expected_value: Total, label: employment type} + - {column: J, row: 3891, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3893 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3893, expected_value: E12000002, label: geography} + - {column: D, row: 3893, expected_value: All persons, label: sex} + - {column: E, row: 3893, expected_value: Total, label: employment type} + - {column: J, row: 3893, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3895 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3895, expected_value: E12000002, label: geography} + - {column: D, row: 3895, expected_value: All persons, label: sex} + - {column: E, row: 3895, expected_value: Total, label: employment type} + - {column: J, row: 3895, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3897 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3897, expected_value: E12000002, label: geography} + - {column: D, row: 3897, expected_value: All persons, label: sex} + - {column: E, row: 3897, expected_value: Total, label: employment type} + - {column: J, row: 3897, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3899 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3899, expected_value: E12000002, label: geography} + - {column: D, row: 3899, expected_value: All persons, label: sex} + - {column: E, row: 3899, expected_value: Total, label: employment type} + - {column: J, row: 3899, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3901 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3901, expected_value: E12000002, label: geography} + - {column: D, row: 3901, expected_value: All persons, label: sex} + - {column: E, row: 3901, expected_value: Total, label: employment type} + - {column: J, row: 3901, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3903 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3903, expected_value: E12000002, label: geography} + - {column: D, row: 3903, expected_value: All persons, label: sex} + - {column: E, row: 3903, expected_value: Total, label: employment type} + - {column: J, row: 3903, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3905 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3905, expected_value: E12000002, label: geography} + - {column: D, row: 3905, expected_value: All persons, label: sex} + - {column: E, row: 3905, expected_value: Total, label: employment type} + - {column: J, row: 3905, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3907 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3907, expected_value: E12000002, label: geography} + - {column: D, row: 3907, expected_value: All persons, label: sex} + - {column: E, row: 3907, expected_value: Total, label: employment type} + - {column: J, row: 3907, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3909 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3909, expected_value: E12000002, label: geography} + - {column: D, row: 3909, expected_value: All persons, label: sex} + - {column: E, row: 3909, expected_value: Total, label: employment type} + - {column: J, row: 3909, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3911 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3911, expected_value: E12000002, label: geography} + - {column: D, row: 3911, expected_value: All persons, label: sex} + - {column: E, row: 3911, expected_value: Total, label: employment type} + - {column: J, row: 3911, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3913 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3913, expected_value: E12000002, label: geography} + - {column: D, row: 3913, expected_value: All persons, label: sex} + - {column: E, row: 3913, expected_value: Total, label: employment type} + - {column: J, row: 3913, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3915 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3915, expected_value: E12000002, label: geography} + - {column: D, row: 3915, expected_value: All persons, label: sex} + - {column: E, row: 3915, expected_value: Total, label: employment type} + - {column: J, row: 3915, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3917 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3917, expected_value: E12000002, label: geography} + - {column: D, row: 3917, expected_value: All persons, label: sex} + - {column: E, row: 3917, expected_value: Total, label: employment type} + - {column: J, row: 3917, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3919 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3919, expected_value: E12000002, label: geography} + - {column: D, row: 3919, expected_value: All persons, label: sex} + - {column: E, row: 3919, expected_value: Total, label: employment type} + - {column: J, row: 3919, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3921 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3921, expected_value: E12000002, label: geography} + - {column: D, row: 3921, expected_value: All persons, label: sex} + - {column: E, row: 3921, expected_value: Total, label: employment type} + - {column: J, row: 3921, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3923 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3923, expected_value: E12000002, label: geography} + - {column: D, row: 3923, expected_value: All persons, label: sex} + - {column: E, row: 3923, expected_value: Total, label: employment type} + - {column: J, row: 3923, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3925 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3925, expected_value: E12000002, label: geography} + - {column: D, row: 3925, expected_value: All persons, label: sex} + - {column: E, row: 3925, expected_value: Total, label: employment type} + - {column: J, row: 3925, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3927 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3927, expected_value: E12000002, label: geography} + - {column: D, row: 3927, expected_value: All persons, label: sex} + - {column: E, row: 3927, expected_value: Total, label: employment type} + - {column: J, row: 3927, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3929 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3929, expected_value: E12000002, label: geography} + - {column: D, row: 3929, expected_value: All persons, label: sex} + - {column: E, row: 3929, expected_value: Total, label: employment type} + - {column: J, row: 3929, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3931 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3931, expected_value: E12000002, label: geography} + - {column: D, row: 3931, expected_value: All persons, label: sex} + - {column: E, row: 3931, expected_value: Total, label: employment type} + - {column: J, row: 3931, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3933 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3933, expected_value: E12000002, label: geography} + - {column: D, row: 3933, expected_value: All persons, label: sex} + - {column: E, row: 3933, expected_value: Total, label: employment type} + - {column: J, row: 3933, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3935 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3935, expected_value: E12000002, label: geography} + - {column: D, row: 3935, expected_value: All persons, label: sex} + - {column: E, row: 3935, expected_value: Total, label: employment type} + - {column: J, row: 3935, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3937 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3937, expected_value: E12000002, label: geography} + - {column: D, row: 3937, expected_value: All persons, label: sex} + - {column: E, row: 3937, expected_value: Total, label: employment type} + - {column: J, row: 3937, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3939 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3939, expected_value: E12000002, label: geography} + - {column: D, row: 3939, expected_value: All persons, label: sex} + - {column: E, row: 3939, expected_value: Total, label: employment type} + - {column: J, row: 3939, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3941 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3941, expected_value: E12000002, label: geography} + - {column: D, row: 3941, expected_value: All persons, label: sex} + - {column: E, row: 3941, expected_value: Total, label: employment type} + - {column: J, row: 3941, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3945 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3945, expected_value: E12000002, label: geography} + - {column: D, row: 3945, expected_value: All persons, label: sex} + - {column: E, row: 3945, expected_value: Total, label: employment type} + - {column: J, row: 3945, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3947 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3947, expected_value: E12000002, label: geography} + - {column: D, row: 3947, expected_value: All persons, label: sex} + - {column: E, row: 3947, expected_value: Total, label: employment type} + - {column: J, row: 3947, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3949 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3949, expected_value: E12000002, label: geography} + - {column: D, row: 3949, expected_value: All persons, label: sex} + - {column: E, row: 3949, expected_value: Total, label: employment type} + - {column: J, row: 3949, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3951 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3951, expected_value: E12000002, label: geography} + - {column: D, row: 3951, expected_value: All persons, label: sex} + - {column: E, row: 3951, expected_value: Total, label: employment type} + - {column: J, row: 3951, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3953 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3953, expected_value: E12000002, label: geography} + - {column: D, row: 3953, expected_value: All persons, label: sex} + - {column: E, row: 3953, expected_value: Total, label: employment type} + - {column: J, row: 3953, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3955 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3955, expected_value: E12000002, label: geography} + - {column: D, row: 3955, expected_value: All persons, label: sex} + - {column: E, row: 3955, expected_value: Total, label: employment type} + - {column: J, row: 3955, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3957 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3957, expected_value: E12000002, label: geography} + - {column: D, row: 3957, expected_value: All persons, label: sex} + - {column: E, row: 3957, expected_value: Total, label: employment type} + - {column: J, row: 3957, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3959 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3959, expected_value: E12000002, label: geography} + - {column: D, row: 3959, expected_value: All persons, label: sex} + - {column: E, row: 3959, expected_value: Total, label: employment type} + - {column: J, row: 3959, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3961 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3961, expected_value: E12000002, label: geography} + - {column: D, row: 3961, expected_value: All persons, label: sex} + - {column: E, row: 3961, expected_value: Total, label: employment type} + - {column: J, row: 3961, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4106 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4106, expected_value: E12000002, label: geography} + - {column: D, row: 4106, expected_value: All persons, label: sex} + - {column: E, row: 4106, expected_value: Employee, label: employment type} + - {column: J, row: 4106, expected_value: Value, label: measure} + - {column: L, row: 4107, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4108 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4108, expected_value: E12000002, label: geography} + - {column: D, row: 4108, expected_value: All persons, label: sex} + - {column: E, row: 4108, expected_value: Employee, label: employment type} + - {column: J, row: 4108, expected_value: Value, label: measure} + - {column: L, row: 4109, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4110 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4110, expected_value: E12000002, label: geography} + - {column: D, row: 4110, expected_value: All persons, label: sex} + - {column: E, row: 4110, expected_value: Employee, label: employment type} + - {column: J, row: 4110, expected_value: Value, label: measure} + - {column: L, row: 4111, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4112 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4112, expected_value: E12000002, label: geography} + - {column: D, row: 4112, expected_value: All persons, label: sex} + - {column: E, row: 4112, expected_value: Employee, label: employment type} + - {column: J, row: 4112, expected_value: Value, label: measure} + - {column: L, row: 4113, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4114 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4114, expected_value: E12000002, label: geography} + - {column: D, row: 4114, expected_value: All persons, label: sex} + - {column: E, row: 4114, expected_value: Employee, label: employment type} + - {column: J, row: 4114, expected_value: Value, label: measure} + - {column: L, row: 4115, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4116 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4116, expected_value: E12000002, label: geography} + - {column: D, row: 4116, expected_value: All persons, label: sex} + - {column: E, row: 4116, expected_value: Employee, label: employment type} + - {column: J, row: 4116, expected_value: Value, label: measure} + - {column: L, row: 4117, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4118 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4118, expected_value: E12000002, label: geography} + - {column: D, row: 4118, expected_value: All persons, label: sex} + - {column: E, row: 4118, expected_value: Employee, label: employment type} + - {column: J, row: 4118, expected_value: Value, label: measure} + - {column: L, row: 4119, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4120 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4120, expected_value: E12000002, label: geography} + - {column: D, row: 4120, expected_value: All persons, label: sex} + - {column: E, row: 4120, expected_value: Employee, label: employment type} + - {column: J, row: 4120, expected_value: Value, label: measure} + - {column: L, row: 4121, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4122 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4122, expected_value: E12000002, label: geography} + - {column: D, row: 4122, expected_value: All persons, label: sex} + - {column: E, row: 4122, expected_value: Employee, label: employment type} + - {column: J, row: 4122, expected_value: Value, label: measure} + - {column: L, row: 4123, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4124 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4124, expected_value: E12000002, label: geography} + - {column: D, row: 4124, expected_value: All persons, label: sex} + - {column: E, row: 4124, expected_value: Employee, label: employment type} + - {column: J, row: 4124, expected_value: Value, label: measure} + - {column: L, row: 4125, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4126 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4126, expected_value: E12000002, label: geography} + - {column: D, row: 4126, expected_value: All persons, label: sex} + - {column: E, row: 4126, expected_value: Employee, label: employment type} + - {column: J, row: 4126, expected_value: Value, label: measure} + - {column: L, row: 4127, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4128 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4128, expected_value: E12000002, label: geography} + - {column: D, row: 4128, expected_value: All persons, label: sex} + - {column: E, row: 4128, expected_value: Employee, label: employment type} + - {column: J, row: 4128, expected_value: Value, label: measure} + - {column: L, row: 4129, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4130 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4130, expected_value: E12000002, label: geography} + - {column: D, row: 4130, expected_value: All persons, label: sex} + - {column: E, row: 4130, expected_value: Employee, label: employment type} + - {column: J, row: 4130, expected_value: Value, label: measure} + - {column: L, row: 4131, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4132 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4132, expected_value: E12000002, label: geography} + - {column: D, row: 4132, expected_value: All persons, label: sex} + - {column: E, row: 4132, expected_value: Employee, label: employment type} + - {column: J, row: 4132, expected_value: Value, label: measure} + - {column: L, row: 4133, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4134 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4134, expected_value: E12000002, label: geography} + - {column: D, row: 4134, expected_value: All persons, label: sex} + - {column: E, row: 4134, expected_value: Employee, label: employment type} + - {column: J, row: 4134, expected_value: Value, label: measure} + - {column: L, row: 4135, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4136 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4136, expected_value: E12000002, label: geography} + - {column: D, row: 4136, expected_value: All persons, label: sex} + - {column: E, row: 4136, expected_value: Employee, label: employment type} + - {column: J, row: 4136, expected_value: Value, label: measure} + - {column: L, row: 4137, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4138 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4138, expected_value: E12000002, label: geography} + - {column: D, row: 4138, expected_value: All persons, label: sex} + - {column: E, row: 4138, expected_value: Employee, label: employment type} + - {column: J, row: 4138, expected_value: Value, label: measure} + - {column: L, row: 4139, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4140 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4140, expected_value: E12000002, label: geography} + - {column: D, row: 4140, expected_value: All persons, label: sex} + - {column: E, row: 4140, expected_value: Employee, label: employment type} + - {column: J, row: 4140, expected_value: Value, label: measure} + - {column: L, row: 4141, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4142 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4142, expected_value: E12000002, label: geography} + - {column: D, row: 4142, expected_value: All persons, label: sex} + - {column: E, row: 4142, expected_value: Employee, label: employment type} + - {column: J, row: 4142, expected_value: Value, label: measure} + - {column: L, row: 4143, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4144 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4144, expected_value: E12000002, label: geography} + - {column: D, row: 4144, expected_value: All persons, label: sex} + - {column: E, row: 4144, expected_value: Employee, label: employment type} + - {column: J, row: 4144, expected_value: Value, label: measure} + - {column: L, row: 4145, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4146 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4146, expected_value: E12000002, label: geography} + - {column: D, row: 4146, expected_value: All persons, label: sex} + - {column: E, row: 4146, expected_value: Employee, label: employment type} + - {column: J, row: 4146, expected_value: Value, label: measure} + - {column: L, row: 4147, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4148 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4148, expected_value: E12000002, label: geography} + - {column: D, row: 4148, expected_value: All persons, label: sex} + - {column: E, row: 4148, expected_value: Employee, label: employment type} + - {column: J, row: 4148, expected_value: Value, label: measure} + - {column: L, row: 4149, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4150 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4150, expected_value: E12000002, label: geography} + - {column: D, row: 4150, expected_value: All persons, label: sex} + - {column: E, row: 4150, expected_value: Employee, label: employment type} + - {column: J, row: 4150, expected_value: Value, label: measure} + - {column: L, row: 4151, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4152 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4152, expected_value: E12000002, label: geography} + - {column: D, row: 4152, expected_value: All persons, label: sex} + - {column: E, row: 4152, expected_value: Employee, label: employment type} + - {column: J, row: 4152, expected_value: Value, label: measure} + - {column: L, row: 4153, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4154 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4154, expected_value: E12000002, label: geography} + - {column: D, row: 4154, expected_value: All persons, label: sex} + - {column: E, row: 4154, expected_value: Employee, label: employment type} + - {column: J, row: 4154, expected_value: Value, label: measure} + - {column: L, row: 4155, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4156 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4156, expected_value: E12000002, label: geography} + - {column: D, row: 4156, expected_value: All persons, label: sex} + - {column: E, row: 4156, expected_value: Employee, label: employment type} + - {column: J, row: 4156, expected_value: Value, label: measure} + - {column: L, row: 4157, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4158 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4158, expected_value: E12000002, label: geography} + - {column: D, row: 4158, expected_value: All persons, label: sex} + - {column: E, row: 4158, expected_value: Employee, label: employment type} + - {column: J, row: 4158, expected_value: Value, label: measure} + - {column: L, row: 4159, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4160 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4160, expected_value: E12000002, label: geography} + - {column: D, row: 4160, expected_value: All persons, label: sex} + - {column: E, row: 4160, expected_value: Employee, label: employment type} + - {column: J, row: 4160, expected_value: Value, label: measure} + - {column: L, row: 4161, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4162 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4162, expected_value: E12000002, label: geography} + - {column: D, row: 4162, expected_value: All persons, label: sex} + - {column: E, row: 4162, expected_value: Employee, label: employment type} + - {column: J, row: 4162, expected_value: Value, label: measure} + - {column: L, row: 4163, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4164 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4164, expected_value: E12000002, label: geography} + - {column: D, row: 4164, expected_value: All persons, label: sex} + - {column: E, row: 4164, expected_value: Employee, label: employment type} + - {column: J, row: 4164, expected_value: Value, label: measure} + - {column: L, row: 4165, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4166 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4166, expected_value: E12000002, label: geography} + - {column: D, row: 4166, expected_value: All persons, label: sex} + - {column: E, row: 4166, expected_value: Employee, label: employment type} + - {column: J, row: 4166, expected_value: Value, label: measure} + - {column: L, row: 4167, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4168 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4168, expected_value: E12000002, label: geography} + - {column: D, row: 4168, expected_value: All persons, label: sex} + - {column: E, row: 4168, expected_value: Employee, label: employment type} + - {column: J, row: 4168, expected_value: Value, label: measure} + - {column: L, row: 4169, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4170 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4170, expected_value: E12000002, label: geography} + - {column: D, row: 4170, expected_value: All persons, label: sex} + - {column: E, row: 4170, expected_value: Employee, label: employment type} + - {column: J, row: 4170, expected_value: Value, label: measure} + - {column: L, row: 4171, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4172 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4172, expected_value: E12000002, label: geography} + - {column: D, row: 4172, expected_value: All persons, label: sex} + - {column: E, row: 4172, expected_value: Employee, label: employment type} + - {column: J, row: 4172, expected_value: Value, label: measure} + - {column: L, row: 4173, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4174 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4174, expected_value: E12000002, label: geography} + - {column: D, row: 4174, expected_value: All persons, label: sex} + - {column: E, row: 4174, expected_value: Employee, label: employment type} + - {column: J, row: 4174, expected_value: Value, label: measure} + - {column: L, row: 4175, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4176 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4176, expected_value: E12000002, label: geography} + - {column: D, row: 4176, expected_value: All persons, label: sex} + - {column: E, row: 4176, expected_value: Employee, label: employment type} + - {column: J, row: 4176, expected_value: Value, label: measure} + - {column: L, row: 4177, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4107 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4107, expected_value: E12000002, label: geography} + - {column: D, row: 4107, expected_value: All persons, label: sex} + - {column: E, row: 4107, expected_value: Employee, label: employment type} + - {column: J, row: 4107, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4109 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4109, expected_value: E12000002, label: geography} + - {column: D, row: 4109, expected_value: All persons, label: sex} + - {column: E, row: 4109, expected_value: Employee, label: employment type} + - {column: J, row: 4109, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4111 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4111, expected_value: E12000002, label: geography} + - {column: D, row: 4111, expected_value: All persons, label: sex} + - {column: E, row: 4111, expected_value: Employee, label: employment type} + - {column: J, row: 4111, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4113 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4113, expected_value: E12000002, label: geography} + - {column: D, row: 4113, expected_value: All persons, label: sex} + - {column: E, row: 4113, expected_value: Employee, label: employment type} + - {column: J, row: 4113, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4115 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4115, expected_value: E12000002, label: geography} + - {column: D, row: 4115, expected_value: All persons, label: sex} + - {column: E, row: 4115, expected_value: Employee, label: employment type} + - {column: J, row: 4115, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4117 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4117, expected_value: E12000002, label: geography} + - {column: D, row: 4117, expected_value: All persons, label: sex} + - {column: E, row: 4117, expected_value: Employee, label: employment type} + - {column: J, row: 4117, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4119 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4119, expected_value: E12000002, label: geography} + - {column: D, row: 4119, expected_value: All persons, label: sex} + - {column: E, row: 4119, expected_value: Employee, label: employment type} + - {column: J, row: 4119, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4121 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4121, expected_value: E12000002, label: geography} + - {column: D, row: 4121, expected_value: All persons, label: sex} + - {column: E, row: 4121, expected_value: Employee, label: employment type} + - {column: J, row: 4121, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4123 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4123, expected_value: E12000002, label: geography} + - {column: D, row: 4123, expected_value: All persons, label: sex} + - {column: E, row: 4123, expected_value: Employee, label: employment type} + - {column: J, row: 4123, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4125 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4125, expected_value: E12000002, label: geography} + - {column: D, row: 4125, expected_value: All persons, label: sex} + - {column: E, row: 4125, expected_value: Employee, label: employment type} + - {column: J, row: 4125, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4127 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4127, expected_value: E12000002, label: geography} + - {column: D, row: 4127, expected_value: All persons, label: sex} + - {column: E, row: 4127, expected_value: Employee, label: employment type} + - {column: J, row: 4127, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4129 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4129, expected_value: E12000002, label: geography} + - {column: D, row: 4129, expected_value: All persons, label: sex} + - {column: E, row: 4129, expected_value: Employee, label: employment type} + - {column: J, row: 4129, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4131 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4131, expected_value: E12000002, label: geography} + - {column: D, row: 4131, expected_value: All persons, label: sex} + - {column: E, row: 4131, expected_value: Employee, label: employment type} + - {column: J, row: 4131, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4133 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4133, expected_value: E12000002, label: geography} + - {column: D, row: 4133, expected_value: All persons, label: sex} + - {column: E, row: 4133, expected_value: Employee, label: employment type} + - {column: J, row: 4133, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4135 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4135, expected_value: E12000002, label: geography} + - {column: D, row: 4135, expected_value: All persons, label: sex} + - {column: E, row: 4135, expected_value: Employee, label: employment type} + - {column: J, row: 4135, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4137 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4137, expected_value: E12000002, label: geography} + - {column: D, row: 4137, expected_value: All persons, label: sex} + - {column: E, row: 4137, expected_value: Employee, label: employment type} + - {column: J, row: 4137, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4139 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4139, expected_value: E12000002, label: geography} + - {column: D, row: 4139, expected_value: All persons, label: sex} + - {column: E, row: 4139, expected_value: Employee, label: employment type} + - {column: J, row: 4139, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4141 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4141, expected_value: E12000002, label: geography} + - {column: D, row: 4141, expected_value: All persons, label: sex} + - {column: E, row: 4141, expected_value: Employee, label: employment type} + - {column: J, row: 4141, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4143 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4143, expected_value: E12000002, label: geography} + - {column: D, row: 4143, expected_value: All persons, label: sex} + - {column: E, row: 4143, expected_value: Employee, label: employment type} + - {column: J, row: 4143, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4145 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4145, expected_value: E12000002, label: geography} + - {column: D, row: 4145, expected_value: All persons, label: sex} + - {column: E, row: 4145, expected_value: Employee, label: employment type} + - {column: J, row: 4145, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4147 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4147, expected_value: E12000002, label: geography} + - {column: D, row: 4147, expected_value: All persons, label: sex} + - {column: E, row: 4147, expected_value: Employee, label: employment type} + - {column: J, row: 4147, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4149 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4149, expected_value: E12000002, label: geography} + - {column: D, row: 4149, expected_value: All persons, label: sex} + - {column: E, row: 4149, expected_value: Employee, label: employment type} + - {column: J, row: 4149, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4151 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4151, expected_value: E12000002, label: geography} + - {column: D, row: 4151, expected_value: All persons, label: sex} + - {column: E, row: 4151, expected_value: Employee, label: employment type} + - {column: J, row: 4151, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4153 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4153, expected_value: E12000002, label: geography} + - {column: D, row: 4153, expected_value: All persons, label: sex} + - {column: E, row: 4153, expected_value: Employee, label: employment type} + - {column: J, row: 4153, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4155 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4155, expected_value: E12000002, label: geography} + - {column: D, row: 4155, expected_value: All persons, label: sex} + - {column: E, row: 4155, expected_value: Employee, label: employment type} + - {column: J, row: 4155, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4157 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4157, expected_value: E12000002, label: geography} + - {column: D, row: 4157, expected_value: All persons, label: sex} + - {column: E, row: 4157, expected_value: Employee, label: employment type} + - {column: J, row: 4157, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4161 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4161, expected_value: E12000002, label: geography} + - {column: D, row: 4161, expected_value: All persons, label: sex} + - {column: E, row: 4161, expected_value: Employee, label: employment type} + - {column: J, row: 4161, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4163 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4163, expected_value: E12000002, label: geography} + - {column: D, row: 4163, expected_value: All persons, label: sex} + - {column: E, row: 4163, expected_value: Employee, label: employment type} + - {column: J, row: 4163, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4165 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4165, expected_value: E12000002, label: geography} + - {column: D, row: 4165, expected_value: All persons, label: sex} + - {column: E, row: 4165, expected_value: Employee, label: employment type} + - {column: J, row: 4165, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4167 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4167, expected_value: E12000002, label: geography} + - {column: D, row: 4167, expected_value: All persons, label: sex} + - {column: E, row: 4167, expected_value: Employee, label: employment type} + - {column: J, row: 4167, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4169 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4169, expected_value: E12000002, label: geography} + - {column: D, row: 4169, expected_value: All persons, label: sex} + - {column: E, row: 4169, expected_value: Employee, label: employment type} + - {column: J, row: 4169, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4171 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4171, expected_value: E12000002, label: geography} + - {column: D, row: 4171, expected_value: All persons, label: sex} + - {column: E, row: 4171, expected_value: Employee, label: employment type} + - {column: J, row: 4171, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4173 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4173, expected_value: E12000002, label: geography} + - {column: D, row: 4173, expected_value: All persons, label: sex} + - {column: E, row: 4173, expected_value: Employee, label: employment type} + - {column: J, row: 4173, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4175 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4175, expected_value: E12000002, label: geography} + - {column: D, row: 4175, expected_value: All persons, label: sex} + - {column: E, row: 4175, expected_value: Employee, label: employment type} + - {column: J, row: 4175, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4177 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4177, expected_value: E12000002, label: geography} + - {column: D, row: 4177, expected_value: All persons, label: sex} + - {column: E, row: 4177, expected_value: Employee, label: employment type} + - {column: J, row: 4177, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4322 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4322, expected_value: E12000002, label: geography} + - {column: D, row: 4322, expected_value: All persons, label: sex} + - {column: E, row: 4322, expected_value: Self-employed, label: employment type} + - {column: J, row: 4322, expected_value: Value, label: measure} + - {column: L, row: 4323, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4324 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4324, expected_value: E12000002, label: geography} + - {column: D, row: 4324, expected_value: All persons, label: sex} + - {column: E, row: 4324, expected_value: Self-employed, label: employment type} + - {column: J, row: 4324, expected_value: Value, label: measure} + - {column: L, row: 4325, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4326 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4326, expected_value: E12000002, label: geography} + - {column: D, row: 4326, expected_value: All persons, label: sex} + - {column: E, row: 4326, expected_value: Self-employed, label: employment type} + - {column: J, row: 4326, expected_value: Value, label: measure} + - {column: L, row: 4327, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4328 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4328, expected_value: E12000002, label: geography} + - {column: D, row: 4328, expected_value: All persons, label: sex} + - {column: E, row: 4328, expected_value: Self-employed, label: employment type} + - {column: J, row: 4328, expected_value: Value, label: measure} + - {column: L, row: 4329, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4330 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4330, expected_value: E12000002, label: geography} + - {column: D, row: 4330, expected_value: All persons, label: sex} + - {column: E, row: 4330, expected_value: Self-employed, label: employment type} + - {column: J, row: 4330, expected_value: Value, label: measure} + - {column: L, row: 4331, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4332 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4332, expected_value: E12000002, label: geography} + - {column: D, row: 4332, expected_value: All persons, label: sex} + - {column: E, row: 4332, expected_value: Self-employed, label: employment type} + - {column: J, row: 4332, expected_value: Value, label: measure} + - {column: L, row: 4333, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4334 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4334, expected_value: E12000002, label: geography} + - {column: D, row: 4334, expected_value: All persons, label: sex} + - {column: E, row: 4334, expected_value: Self-employed, label: employment type} + - {column: J, row: 4334, expected_value: Value, label: measure} + - {column: L, row: 4335, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4336 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4336, expected_value: E12000002, label: geography} + - {column: D, row: 4336, expected_value: All persons, label: sex} + - {column: E, row: 4336, expected_value: Self-employed, label: employment type} + - {column: J, row: 4336, expected_value: Value, label: measure} + - {column: L, row: 4337, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4338 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4338, expected_value: E12000002, label: geography} + - {column: D, row: 4338, expected_value: All persons, label: sex} + - {column: E, row: 4338, expected_value: Self-employed, label: employment type} + - {column: J, row: 4338, expected_value: Value, label: measure} + - {column: L, row: 4339, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4340 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4340, expected_value: E12000002, label: geography} + - {column: D, row: 4340, expected_value: All persons, label: sex} + - {column: E, row: 4340, expected_value: Self-employed, label: employment type} + - {column: J, row: 4340, expected_value: Value, label: measure} + - {column: L, row: 4341, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4342 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4342, expected_value: E12000002, label: geography} + - {column: D, row: 4342, expected_value: All persons, label: sex} + - {column: E, row: 4342, expected_value: Self-employed, label: employment type} + - {column: J, row: 4342, expected_value: Value, label: measure} + - {column: L, row: 4343, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4344 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4344, expected_value: E12000002, label: geography} + - {column: D, row: 4344, expected_value: All persons, label: sex} + - {column: E, row: 4344, expected_value: Self-employed, label: employment type} + - {column: J, row: 4344, expected_value: Value, label: measure} + - {column: L, row: 4345, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4348 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4348, expected_value: E12000002, label: geography} + - {column: D, row: 4348, expected_value: All persons, label: sex} + - {column: E, row: 4348, expected_value: Self-employed, label: employment type} + - {column: J, row: 4348, expected_value: Value, label: measure} + - {column: L, row: 4349, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4350 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4350, expected_value: E12000002, label: geography} + - {column: D, row: 4350, expected_value: All persons, label: sex} + - {column: E, row: 4350, expected_value: Self-employed, label: employment type} + - {column: J, row: 4350, expected_value: Value, label: measure} + - {column: L, row: 4351, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4352 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4352, expected_value: E12000002, label: geography} + - {column: D, row: 4352, expected_value: All persons, label: sex} + - {column: E, row: 4352, expected_value: Self-employed, label: employment type} + - {column: J, row: 4352, expected_value: Value, label: measure} + - {column: L, row: 4353, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4354 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4354, expected_value: E12000002, label: geography} + - {column: D, row: 4354, expected_value: All persons, label: sex} + - {column: E, row: 4354, expected_value: Self-employed, label: employment type} + - {column: J, row: 4354, expected_value: Value, label: measure} + - {column: L, row: 4355, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4356 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4356, expected_value: E12000002, label: geography} + - {column: D, row: 4356, expected_value: All persons, label: sex} + - {column: E, row: 4356, expected_value: Self-employed, label: employment type} + - {column: J, row: 4356, expected_value: Value, label: measure} + - {column: L, row: 4357, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4358 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4358, expected_value: E12000002, label: geography} + - {column: D, row: 4358, expected_value: All persons, label: sex} + - {column: E, row: 4358, expected_value: Self-employed, label: employment type} + - {column: J, row: 4358, expected_value: Value, label: measure} + - {column: L, row: 4359, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4360 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4360, expected_value: E12000002, label: geography} + - {column: D, row: 4360, expected_value: All persons, label: sex} + - {column: E, row: 4360, expected_value: Self-employed, label: employment type} + - {column: J, row: 4360, expected_value: Value, label: measure} + - {column: L, row: 4361, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4362 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4362, expected_value: E12000002, label: geography} + - {column: D, row: 4362, expected_value: All persons, label: sex} + - {column: E, row: 4362, expected_value: Self-employed, label: employment type} + - {column: J, row: 4362, expected_value: Value, label: measure} + - {column: L, row: 4363, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4364 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4364, expected_value: E12000002, label: geography} + - {column: D, row: 4364, expected_value: All persons, label: sex} + - {column: E, row: 4364, expected_value: Self-employed, label: employment type} + - {column: J, row: 4364, expected_value: Value, label: measure} + - {column: L, row: 4365, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4366 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4366, expected_value: E12000002, label: geography} + - {column: D, row: 4366, expected_value: All persons, label: sex} + - {column: E, row: 4366, expected_value: Self-employed, label: employment type} + - {column: J, row: 4366, expected_value: Value, label: measure} + - {column: L, row: 4367, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4368 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4368, expected_value: E12000002, label: geography} + - {column: D, row: 4368, expected_value: All persons, label: sex} + - {column: E, row: 4368, expected_value: Self-employed, label: employment type} + - {column: J, row: 4368, expected_value: Value, label: measure} + - {column: L, row: 4369, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4370 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4370, expected_value: E12000002, label: geography} + - {column: D, row: 4370, expected_value: All persons, label: sex} + - {column: E, row: 4370, expected_value: Self-employed, label: employment type} + - {column: J, row: 4370, expected_value: Value, label: measure} + - {column: L, row: 4371, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4372 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4372, expected_value: E12000002, label: geography} + - {column: D, row: 4372, expected_value: All persons, label: sex} + - {column: E, row: 4372, expected_value: Self-employed, label: employment type} + - {column: J, row: 4372, expected_value: Value, label: measure} + - {column: L, row: 4373, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4376 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4376, expected_value: E12000002, label: geography} + - {column: D, row: 4376, expected_value: All persons, label: sex} + - {column: E, row: 4376, expected_value: Self-employed, label: employment type} + - {column: J, row: 4376, expected_value: Value, label: measure} + - {column: L, row: 4377, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4378 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4378, expected_value: E12000002, label: geography} + - {column: D, row: 4378, expected_value: All persons, label: sex} + - {column: E, row: 4378, expected_value: Self-employed, label: employment type} + - {column: J, row: 4378, expected_value: Value, label: measure} + - {column: L, row: 4379, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4382 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4382, expected_value: E12000002, label: geography} + - {column: D, row: 4382, expected_value: All persons, label: sex} + - {column: E, row: 4382, expected_value: Self-employed, label: employment type} + - {column: J, row: 4382, expected_value: Value, label: measure} + - {column: L, row: 4383, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4384 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4384, expected_value: E12000002, label: geography} + - {column: D, row: 4384, expected_value: All persons, label: sex} + - {column: E, row: 4384, expected_value: Self-employed, label: employment type} + - {column: J, row: 4384, expected_value: Value, label: measure} + - {column: L, row: 4385, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4386 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4386, expected_value: E12000002, label: geography} + - {column: D, row: 4386, expected_value: All persons, label: sex} + - {column: E, row: 4386, expected_value: Self-employed, label: employment type} + - {column: J, row: 4386, expected_value: Value, label: measure} + - {column: L, row: 4387, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4388 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4388, expected_value: E12000002, label: geography} + - {column: D, row: 4388, expected_value: All persons, label: sex} + - {column: E, row: 4388, expected_value: Self-employed, label: employment type} + - {column: J, row: 4388, expected_value: Value, label: measure} + - {column: L, row: 4389, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4390 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4390, expected_value: E12000002, label: geography} + - {column: D, row: 4390, expected_value: All persons, label: sex} + - {column: E, row: 4390, expected_value: Self-employed, label: employment type} + - {column: J, row: 4390, expected_value: Value, label: measure} + - {column: L, row: 4391, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4392 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4392, expected_value: E12000002, label: geography} + - {column: D, row: 4392, expected_value: All persons, label: sex} + - {column: E, row: 4392, expected_value: Self-employed, label: employment type} + - {column: J, row: 4392, expected_value: Value, label: measure} + - {column: L, row: 4393, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4323 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4323, expected_value: E12000002, label: geography} + - {column: D, row: 4323, expected_value: All persons, label: sex} + - {column: E, row: 4323, expected_value: Self-employed, label: employment type} + - {column: J, row: 4323, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4325 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4325, expected_value: E12000002, label: geography} + - {column: D, row: 4325, expected_value: All persons, label: sex} + - {column: E, row: 4325, expected_value: Self-employed, label: employment type} + - {column: J, row: 4325, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4327 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4327, expected_value: E12000002, label: geography} + - {column: D, row: 4327, expected_value: All persons, label: sex} + - {column: E, row: 4327, expected_value: Self-employed, label: employment type} + - {column: J, row: 4327, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4329 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4329, expected_value: E12000002, label: geography} + - {column: D, row: 4329, expected_value: All persons, label: sex} + - {column: E, row: 4329, expected_value: Self-employed, label: employment type} + - {column: J, row: 4329, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4331 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4331, expected_value: E12000002, label: geography} + - {column: D, row: 4331, expected_value: All persons, label: sex} + - {column: E, row: 4331, expected_value: Self-employed, label: employment type} + - {column: J, row: 4331, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4333 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4333, expected_value: E12000002, label: geography} + - {column: D, row: 4333, expected_value: All persons, label: sex} + - {column: E, row: 4333, expected_value: Self-employed, label: employment type} + - {column: J, row: 4333, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4335 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4335, expected_value: E12000002, label: geography} + - {column: D, row: 4335, expected_value: All persons, label: sex} + - {column: E, row: 4335, expected_value: Self-employed, label: employment type} + - {column: J, row: 4335, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4337 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4337, expected_value: E12000002, label: geography} + - {column: D, row: 4337, expected_value: All persons, label: sex} + - {column: E, row: 4337, expected_value: Self-employed, label: employment type} + - {column: J, row: 4337, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4339 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4339, expected_value: E12000002, label: geography} + - {column: D, row: 4339, expected_value: All persons, label: sex} + - {column: E, row: 4339, expected_value: Self-employed, label: employment type} + - {column: J, row: 4339, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4341 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4341, expected_value: E12000002, label: geography} + - {column: D, row: 4341, expected_value: All persons, label: sex} + - {column: E, row: 4341, expected_value: Self-employed, label: employment type} + - {column: J, row: 4341, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4345 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4345, expected_value: E12000002, label: geography} + - {column: D, row: 4345, expected_value: All persons, label: sex} + - {column: E, row: 4345, expected_value: Self-employed, label: employment type} + - {column: J, row: 4345, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4349 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4349, expected_value: E12000002, label: geography} + - {column: D, row: 4349, expected_value: All persons, label: sex} + - {column: E, row: 4349, expected_value: Self-employed, label: employment type} + - {column: J, row: 4349, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4351 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4351, expected_value: E12000002, label: geography} + - {column: D, row: 4351, expected_value: All persons, label: sex} + - {column: E, row: 4351, expected_value: Self-employed, label: employment type} + - {column: J, row: 4351, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4353 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4353, expected_value: E12000002, label: geography} + - {column: D, row: 4353, expected_value: All persons, label: sex} + - {column: E, row: 4353, expected_value: Self-employed, label: employment type} + - {column: J, row: 4353, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4355 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4355, expected_value: E12000002, label: geography} + - {column: D, row: 4355, expected_value: All persons, label: sex} + - {column: E, row: 4355, expected_value: Self-employed, label: employment type} + - {column: J, row: 4355, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4359 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4359, expected_value: E12000002, label: geography} + - {column: D, row: 4359, expected_value: All persons, label: sex} + - {column: E, row: 4359, expected_value: Self-employed, label: employment type} + - {column: J, row: 4359, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4361 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4361, expected_value: E12000002, label: geography} + - {column: D, row: 4361, expected_value: All persons, label: sex} + - {column: E, row: 4361, expected_value: Self-employed, label: employment type} + - {column: J, row: 4361, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4363 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4363, expected_value: E12000002, label: geography} + - {column: D, row: 4363, expected_value: All persons, label: sex} + - {column: E, row: 4363, expected_value: Self-employed, label: employment type} + - {column: J, row: 4363, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4365 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4365, expected_value: E12000002, label: geography} + - {column: D, row: 4365, expected_value: All persons, label: sex} + - {column: E, row: 4365, expected_value: Self-employed, label: employment type} + - {column: J, row: 4365, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4367 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4367, expected_value: E12000002, label: geography} + - {column: D, row: 4367, expected_value: All persons, label: sex} + - {column: E, row: 4367, expected_value: Self-employed, label: employment type} + - {column: J, row: 4367, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4369 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4369, expected_value: E12000002, label: geography} + - {column: D, row: 4369, expected_value: All persons, label: sex} + - {column: E, row: 4369, expected_value: Self-employed, label: employment type} + - {column: J, row: 4369, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4371 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4371, expected_value: E12000002, label: geography} + - {column: D, row: 4371, expected_value: All persons, label: sex} + - {column: E, row: 4371, expected_value: Self-employed, label: employment type} + - {column: J, row: 4371, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4373 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4373, expected_value: E12000002, label: geography} + - {column: D, row: 4373, expected_value: All persons, label: sex} + - {column: E, row: 4373, expected_value: Self-employed, label: employment type} + - {column: J, row: 4373, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4377 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4377, expected_value: E12000002, label: geography} + - {column: D, row: 4377, expected_value: All persons, label: sex} + - {column: E, row: 4377, expected_value: Self-employed, label: employment type} + - {column: J, row: 4377, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4379 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4379, expected_value: E12000002, label: geography} + - {column: D, row: 4379, expected_value: All persons, label: sex} + - {column: E, row: 4379, expected_value: Self-employed, label: employment type} + - {column: J, row: 4379, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4383 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4383, expected_value: E12000002, label: geography} + - {column: D, row: 4383, expected_value: All persons, label: sex} + - {column: E, row: 4383, expected_value: Self-employed, label: employment type} + - {column: J, row: 4383, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4385 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4385, expected_value: E12000002, label: geography} + - {column: D, row: 4385, expected_value: All persons, label: sex} + - {column: E, row: 4385, expected_value: Self-employed, label: employment type} + - {column: J, row: 4385, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4387 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4387, expected_value: E12000002, label: geography} + - {column: D, row: 4387, expected_value: All persons, label: sex} + - {column: E, row: 4387, expected_value: Self-employed, label: employment type} + - {column: J, row: 4387, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4389 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4389, expected_value: E12000002, label: geography} + - {column: D, row: 4389, expected_value: All persons, label: sex} + - {column: E, row: 4389, expected_value: Self-employed, label: employment type} + - {column: J, row: 4389, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4391 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4391, expected_value: E12000002, label: geography} + - {column: D, row: 4391, expected_value: All persons, label: sex} + - {column: E, row: 4391, expected_value: Self-employed, label: employment type} + - {column: J, row: 4391, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4393 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4393, expected_value: E12000002, label: geography} + - {column: D, row: 4393, expected_value: All persons, label: sex} + - {column: E, row: 4393, expected_value: Self-employed, label: employment type} + - {column: J, row: 4393, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3962 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3962, expected_value: E12000002, label: geography} + - {column: D, row: 3962, expected_value: Males, label: sex} + - {column: E, row: 3962, expected_value: Total, label: employment type} + - {column: J, row: 3962, expected_value: Value, label: measure} + - {column: L, row: 3963, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3964 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3964, expected_value: E12000002, label: geography} + - {column: D, row: 3964, expected_value: Males, label: sex} + - {column: E, row: 3964, expected_value: Total, label: employment type} + - {column: J, row: 3964, expected_value: Value, label: measure} + - {column: L, row: 3965, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3966 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3966, expected_value: E12000002, label: geography} + - {column: D, row: 3966, expected_value: Males, label: sex} + - {column: E, row: 3966, expected_value: Total, label: employment type} + - {column: J, row: 3966, expected_value: Value, label: measure} + - {column: L, row: 3967, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3968 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3968, expected_value: E12000002, label: geography} + - {column: D, row: 3968, expected_value: Males, label: sex} + - {column: E, row: 3968, expected_value: Total, label: employment type} + - {column: J, row: 3968, expected_value: Value, label: measure} + - {column: L, row: 3969, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3970 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3970, expected_value: E12000002, label: geography} + - {column: D, row: 3970, expected_value: Males, label: sex} + - {column: E, row: 3970, expected_value: Total, label: employment type} + - {column: J, row: 3970, expected_value: Value, label: measure} + - {column: L, row: 3971, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3972 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3972, expected_value: E12000002, label: geography} + - {column: D, row: 3972, expected_value: Males, label: sex} + - {column: E, row: 3972, expected_value: Total, label: employment type} + - {column: J, row: 3972, expected_value: Value, label: measure} + - {column: L, row: 3973, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3974 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3974, expected_value: E12000002, label: geography} + - {column: D, row: 3974, expected_value: Males, label: sex} + - {column: E, row: 3974, expected_value: Total, label: employment type} + - {column: J, row: 3974, expected_value: Value, label: measure} + - {column: L, row: 3975, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3976 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3976, expected_value: E12000002, label: geography} + - {column: D, row: 3976, expected_value: Males, label: sex} + - {column: E, row: 3976, expected_value: Total, label: employment type} + - {column: J, row: 3976, expected_value: Value, label: measure} + - {column: L, row: 3977, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3978 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3978, expected_value: E12000002, label: geography} + - {column: D, row: 3978, expected_value: Males, label: sex} + - {column: E, row: 3978, expected_value: Total, label: employment type} + - {column: J, row: 3978, expected_value: Value, label: measure} + - {column: L, row: 3979, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3980 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3980, expected_value: E12000002, label: geography} + - {column: D, row: 3980, expected_value: Males, label: sex} + - {column: E, row: 3980, expected_value: Total, label: employment type} + - {column: J, row: 3980, expected_value: Value, label: measure} + - {column: L, row: 3981, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3982 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3982, expected_value: E12000002, label: geography} + - {column: D, row: 3982, expected_value: Males, label: sex} + - {column: E, row: 3982, expected_value: Total, label: employment type} + - {column: J, row: 3982, expected_value: Value, label: measure} + - {column: L, row: 3983, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3984 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3984, expected_value: E12000002, label: geography} + - {column: D, row: 3984, expected_value: Males, label: sex} + - {column: E, row: 3984, expected_value: Total, label: employment type} + - {column: J, row: 3984, expected_value: Value, label: measure} + - {column: L, row: 3985, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3986 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3986, expected_value: E12000002, label: geography} + - {column: D, row: 3986, expected_value: Males, label: sex} + - {column: E, row: 3986, expected_value: Total, label: employment type} + - {column: J, row: 3986, expected_value: Value, label: measure} + - {column: L, row: 3987, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3988 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3988, expected_value: E12000002, label: geography} + - {column: D, row: 3988, expected_value: Males, label: sex} + - {column: E, row: 3988, expected_value: Total, label: employment type} + - {column: J, row: 3988, expected_value: Value, label: measure} + - {column: L, row: 3989, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3990 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3990, expected_value: E12000002, label: geography} + - {column: D, row: 3990, expected_value: Males, label: sex} + - {column: E, row: 3990, expected_value: Total, label: employment type} + - {column: J, row: 3990, expected_value: Value, label: measure} + - {column: L, row: 3991, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3992 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3992, expected_value: E12000002, label: geography} + - {column: D, row: 3992, expected_value: Males, label: sex} + - {column: E, row: 3992, expected_value: Total, label: employment type} + - {column: J, row: 3992, expected_value: Value, label: measure} + - {column: L, row: 3993, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3994 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3994, expected_value: E12000002, label: geography} + - {column: D, row: 3994, expected_value: Males, label: sex} + - {column: E, row: 3994, expected_value: Total, label: employment type} + - {column: J, row: 3994, expected_value: Value, label: measure} + - {column: L, row: 3995, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3996 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3996, expected_value: E12000002, label: geography} + - {column: D, row: 3996, expected_value: Males, label: sex} + - {column: E, row: 3996, expected_value: Total, label: employment type} + - {column: J, row: 3996, expected_value: Value, label: measure} + - {column: L, row: 3997, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3998 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3998, expected_value: E12000002, label: geography} + - {column: D, row: 3998, expected_value: Males, label: sex} + - {column: E, row: 3998, expected_value: Total, label: employment type} + - {column: J, row: 3998, expected_value: Value, label: measure} + - {column: L, row: 3999, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4000 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4000, expected_value: E12000002, label: geography} + - {column: D, row: 4000, expected_value: Males, label: sex} + - {column: E, row: 4000, expected_value: Total, label: employment type} + - {column: J, row: 4000, expected_value: Value, label: measure} + - {column: L, row: 4001, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4002 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4002, expected_value: E12000002, label: geography} + - {column: D, row: 4002, expected_value: Males, label: sex} + - {column: E, row: 4002, expected_value: Total, label: employment type} + - {column: J, row: 4002, expected_value: Value, label: measure} + - {column: L, row: 4003, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4004 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4004, expected_value: E12000002, label: geography} + - {column: D, row: 4004, expected_value: Males, label: sex} + - {column: E, row: 4004, expected_value: Total, label: employment type} + - {column: J, row: 4004, expected_value: Value, label: measure} + - {column: L, row: 4005, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4006 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4006, expected_value: E12000002, label: geography} + - {column: D, row: 4006, expected_value: Males, label: sex} + - {column: E, row: 4006, expected_value: Total, label: employment type} + - {column: J, row: 4006, expected_value: Value, label: measure} + - {column: L, row: 4007, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4008 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4008, expected_value: E12000002, label: geography} + - {column: D, row: 4008, expected_value: Males, label: sex} + - {column: E, row: 4008, expected_value: Total, label: employment type} + - {column: J, row: 4008, expected_value: Value, label: measure} + - {column: L, row: 4009, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4010 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4010, expected_value: E12000002, label: geography} + - {column: D, row: 4010, expected_value: Males, label: sex} + - {column: E, row: 4010, expected_value: Total, label: employment type} + - {column: J, row: 4010, expected_value: Value, label: measure} + - {column: L, row: 4011, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4012 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4012, expected_value: E12000002, label: geography} + - {column: D, row: 4012, expected_value: Males, label: sex} + - {column: E, row: 4012, expected_value: Total, label: employment type} + - {column: J, row: 4012, expected_value: Value, label: measure} + - {column: L, row: 4013, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4014 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4014, expected_value: E12000002, label: geography} + - {column: D, row: 4014, expected_value: Males, label: sex} + - {column: E, row: 4014, expected_value: Total, label: employment type} + - {column: J, row: 4014, expected_value: Value, label: measure} + - {column: L, row: 4015, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4016 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4016, expected_value: E12000002, label: geography} + - {column: D, row: 4016, expected_value: Males, label: sex} + - {column: E, row: 4016, expected_value: Total, label: employment type} + - {column: J, row: 4016, expected_value: Value, label: measure} + - {column: L, row: 4017, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4018 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4018, expected_value: E12000002, label: geography} + - {column: D, row: 4018, expected_value: Males, label: sex} + - {column: E, row: 4018, expected_value: Total, label: employment type} + - {column: J, row: 4018, expected_value: Value, label: measure} + - {column: L, row: 4019, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4020 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4020, expected_value: E12000002, label: geography} + - {column: D, row: 4020, expected_value: Males, label: sex} + - {column: E, row: 4020, expected_value: Total, label: employment type} + - {column: J, row: 4020, expected_value: Value, label: measure} + - {column: L, row: 4021, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4022 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4022, expected_value: E12000002, label: geography} + - {column: D, row: 4022, expected_value: Males, label: sex} + - {column: E, row: 4022, expected_value: Total, label: employment type} + - {column: J, row: 4022, expected_value: Value, label: measure} + - {column: L, row: 4023, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4024 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4024, expected_value: E12000002, label: geography} + - {column: D, row: 4024, expected_value: Males, label: sex} + - {column: E, row: 4024, expected_value: Total, label: employment type} + - {column: J, row: 4024, expected_value: Value, label: measure} + - {column: L, row: 4025, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4026 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4026, expected_value: E12000002, label: geography} + - {column: D, row: 4026, expected_value: Males, label: sex} + - {column: E, row: 4026, expected_value: Total, label: employment type} + - {column: J, row: 4026, expected_value: Value, label: measure} + - {column: L, row: 4027, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4028 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4028, expected_value: E12000002, label: geography} + - {column: D, row: 4028, expected_value: Males, label: sex} + - {column: E, row: 4028, expected_value: Total, label: employment type} + - {column: J, row: 4028, expected_value: Value, label: measure} + - {column: L, row: 4029, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4030 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4030, expected_value: E12000002, label: geography} + - {column: D, row: 4030, expected_value: Males, label: sex} + - {column: E, row: 4030, expected_value: Total, label: employment type} + - {column: J, row: 4030, expected_value: Value, label: measure} + - {column: L, row: 4031, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4032 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4032, expected_value: E12000002, label: geography} + - {column: D, row: 4032, expected_value: Males, label: sex} + - {column: E, row: 4032, expected_value: Total, label: employment type} + - {column: J, row: 4032, expected_value: Value, label: measure} + - {column: L, row: 4033, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3963 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3963, expected_value: E12000002, label: geography} + - {column: D, row: 3963, expected_value: Males, label: sex} + - {column: E, row: 3963, expected_value: Total, label: employment type} + - {column: J, row: 3963, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3965 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3965, expected_value: E12000002, label: geography} + - {column: D, row: 3965, expected_value: Males, label: sex} + - {column: E, row: 3965, expected_value: Total, label: employment type} + - {column: J, row: 3965, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3967 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3967, expected_value: E12000002, label: geography} + - {column: D, row: 3967, expected_value: Males, label: sex} + - {column: E, row: 3967, expected_value: Total, label: employment type} + - {column: J, row: 3967, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3969 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3969, expected_value: E12000002, label: geography} + - {column: D, row: 3969, expected_value: Males, label: sex} + - {column: E, row: 3969, expected_value: Total, label: employment type} + - {column: J, row: 3969, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3971 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3971, expected_value: E12000002, label: geography} + - {column: D, row: 3971, expected_value: Males, label: sex} + - {column: E, row: 3971, expected_value: Total, label: employment type} + - {column: J, row: 3971, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3973 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3973, expected_value: E12000002, label: geography} + - {column: D, row: 3973, expected_value: Males, label: sex} + - {column: E, row: 3973, expected_value: Total, label: employment type} + - {column: J, row: 3973, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3975 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3975, expected_value: E12000002, label: geography} + - {column: D, row: 3975, expected_value: Males, label: sex} + - {column: E, row: 3975, expected_value: Total, label: employment type} + - {column: J, row: 3975, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3977 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3977, expected_value: E12000002, label: geography} + - {column: D, row: 3977, expected_value: Males, label: sex} + - {column: E, row: 3977, expected_value: Total, label: employment type} + - {column: J, row: 3977, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3979 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3979, expected_value: E12000002, label: geography} + - {column: D, row: 3979, expected_value: Males, label: sex} + - {column: E, row: 3979, expected_value: Total, label: employment type} + - {column: J, row: 3979, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3981 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3981, expected_value: E12000002, label: geography} + - {column: D, row: 3981, expected_value: Males, label: sex} + - {column: E, row: 3981, expected_value: Total, label: employment type} + - {column: J, row: 3981, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3983 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3983, expected_value: E12000002, label: geography} + - {column: D, row: 3983, expected_value: Males, label: sex} + - {column: E, row: 3983, expected_value: Total, label: employment type} + - {column: J, row: 3983, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3985 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3985, expected_value: E12000002, label: geography} + - {column: D, row: 3985, expected_value: Males, label: sex} + - {column: E, row: 3985, expected_value: Total, label: employment type} + - {column: J, row: 3985, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3987 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3987, expected_value: E12000002, label: geography} + - {column: D, row: 3987, expected_value: Males, label: sex} + - {column: E, row: 3987, expected_value: Total, label: employment type} + - {column: J, row: 3987, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3989 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3989, expected_value: E12000002, label: geography} + - {column: D, row: 3989, expected_value: Males, label: sex} + - {column: E, row: 3989, expected_value: Total, label: employment type} + - {column: J, row: 3989, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3991 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3991, expected_value: E12000002, label: geography} + - {column: D, row: 3991, expected_value: Males, label: sex} + - {column: E, row: 3991, expected_value: Total, label: employment type} + - {column: J, row: 3991, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3993 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3993, expected_value: E12000002, label: geography} + - {column: D, row: 3993, expected_value: Males, label: sex} + - {column: E, row: 3993, expected_value: Total, label: employment type} + - {column: J, row: 3993, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3995 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3995, expected_value: E12000002, label: geography} + - {column: D, row: 3995, expected_value: Males, label: sex} + - {column: E, row: 3995, expected_value: Total, label: employment type} + - {column: J, row: 3995, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3997 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3997, expected_value: E12000002, label: geography} + - {column: D, row: 3997, expected_value: Males, label: sex} + - {column: E, row: 3997, expected_value: Total, label: employment type} + - {column: J, row: 3997, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3999 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3999, expected_value: E12000002, label: geography} + - {column: D, row: 3999, expected_value: Males, label: sex} + - {column: E, row: 3999, expected_value: Total, label: employment type} + - {column: J, row: 3999, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4001 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4001, expected_value: E12000002, label: geography} + - {column: D, row: 4001, expected_value: Males, label: sex} + - {column: E, row: 4001, expected_value: Total, label: employment type} + - {column: J, row: 4001, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4003 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4003, expected_value: E12000002, label: geography} + - {column: D, row: 4003, expected_value: Males, label: sex} + - {column: E, row: 4003, expected_value: Total, label: employment type} + - {column: J, row: 4003, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4005 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4005, expected_value: E12000002, label: geography} + - {column: D, row: 4005, expected_value: Males, label: sex} + - {column: E, row: 4005, expected_value: Total, label: employment type} + - {column: J, row: 4005, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4007 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4007, expected_value: E12000002, label: geography} + - {column: D, row: 4007, expected_value: Males, label: sex} + - {column: E, row: 4007, expected_value: Total, label: employment type} + - {column: J, row: 4007, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4009 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4009, expected_value: E12000002, label: geography} + - {column: D, row: 4009, expected_value: Males, label: sex} + - {column: E, row: 4009, expected_value: Total, label: employment type} + - {column: J, row: 4009, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4011 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4011, expected_value: E12000002, label: geography} + - {column: D, row: 4011, expected_value: Males, label: sex} + - {column: E, row: 4011, expected_value: Total, label: employment type} + - {column: J, row: 4011, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4013 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4013, expected_value: E12000002, label: geography} + - {column: D, row: 4013, expected_value: Males, label: sex} + - {column: E, row: 4013, expected_value: Total, label: employment type} + - {column: J, row: 4013, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4017 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4017, expected_value: E12000002, label: geography} + - {column: D, row: 4017, expected_value: Males, label: sex} + - {column: E, row: 4017, expected_value: Total, label: employment type} + - {column: J, row: 4017, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4019 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4019, expected_value: E12000002, label: geography} + - {column: D, row: 4019, expected_value: Males, label: sex} + - {column: E, row: 4019, expected_value: Total, label: employment type} + - {column: J, row: 4019, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4021 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4021, expected_value: E12000002, label: geography} + - {column: D, row: 4021, expected_value: Males, label: sex} + - {column: E, row: 4021, expected_value: Total, label: employment type} + - {column: J, row: 4021, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4023 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4023, expected_value: E12000002, label: geography} + - {column: D, row: 4023, expected_value: Males, label: sex} + - {column: E, row: 4023, expected_value: Total, label: employment type} + - {column: J, row: 4023, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4025 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4025, expected_value: E12000002, label: geography} + - {column: D, row: 4025, expected_value: Males, label: sex} + - {column: E, row: 4025, expected_value: Total, label: employment type} + - {column: J, row: 4025, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4027 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4027, expected_value: E12000002, label: geography} + - {column: D, row: 4027, expected_value: Males, label: sex} + - {column: E, row: 4027, expected_value: Total, label: employment type} + - {column: J, row: 4027, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4029 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4029, expected_value: E12000002, label: geography} + - {column: D, row: 4029, expected_value: Males, label: sex} + - {column: E, row: 4029, expected_value: Total, label: employment type} + - {column: J, row: 4029, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4031 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4031, expected_value: E12000002, label: geography} + - {column: D, row: 4031, expected_value: Males, label: sex} + - {column: E, row: 4031, expected_value: Total, label: employment type} + - {column: J, row: 4031, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4033 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4033, expected_value: E12000002, label: geography} + - {column: D, row: 4033, expected_value: Males, label: sex} + - {column: E, row: 4033, expected_value: Total, label: employment type} + - {column: J, row: 4033, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4178 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4178, expected_value: E12000002, label: geography} + - {column: D, row: 4178, expected_value: Males, label: sex} + - {column: E, row: 4178, expected_value: Employee, label: employment type} + - {column: J, row: 4178, expected_value: Value, label: measure} + - {column: L, row: 4179, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4180 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4180, expected_value: E12000002, label: geography} + - {column: D, row: 4180, expected_value: Males, label: sex} + - {column: E, row: 4180, expected_value: Employee, label: employment type} + - {column: J, row: 4180, expected_value: Value, label: measure} + - {column: L, row: 4181, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4182 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4182, expected_value: E12000002, label: geography} + - {column: D, row: 4182, expected_value: Males, label: sex} + - {column: E, row: 4182, expected_value: Employee, label: employment type} + - {column: J, row: 4182, expected_value: Value, label: measure} + - {column: L, row: 4183, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4184 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4184, expected_value: E12000002, label: geography} + - {column: D, row: 4184, expected_value: Males, label: sex} + - {column: E, row: 4184, expected_value: Employee, label: employment type} + - {column: J, row: 4184, expected_value: Value, label: measure} + - {column: L, row: 4185, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4186 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4186, expected_value: E12000002, label: geography} + - {column: D, row: 4186, expected_value: Males, label: sex} + - {column: E, row: 4186, expected_value: Employee, label: employment type} + - {column: J, row: 4186, expected_value: Value, label: measure} + - {column: L, row: 4187, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4188 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4188, expected_value: E12000002, label: geography} + - {column: D, row: 4188, expected_value: Males, label: sex} + - {column: E, row: 4188, expected_value: Employee, label: employment type} + - {column: J, row: 4188, expected_value: Value, label: measure} + - {column: L, row: 4189, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4190 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4190, expected_value: E12000002, label: geography} + - {column: D, row: 4190, expected_value: Males, label: sex} + - {column: E, row: 4190, expected_value: Employee, label: employment type} + - {column: J, row: 4190, expected_value: Value, label: measure} + - {column: L, row: 4191, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4192 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4192, expected_value: E12000002, label: geography} + - {column: D, row: 4192, expected_value: Males, label: sex} + - {column: E, row: 4192, expected_value: Employee, label: employment type} + - {column: J, row: 4192, expected_value: Value, label: measure} + - {column: L, row: 4193, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4194 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4194, expected_value: E12000002, label: geography} + - {column: D, row: 4194, expected_value: Males, label: sex} + - {column: E, row: 4194, expected_value: Employee, label: employment type} + - {column: J, row: 4194, expected_value: Value, label: measure} + - {column: L, row: 4195, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4196 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4196, expected_value: E12000002, label: geography} + - {column: D, row: 4196, expected_value: Males, label: sex} + - {column: E, row: 4196, expected_value: Employee, label: employment type} + - {column: J, row: 4196, expected_value: Value, label: measure} + - {column: L, row: 4197, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4198 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4198, expected_value: E12000002, label: geography} + - {column: D, row: 4198, expected_value: Males, label: sex} + - {column: E, row: 4198, expected_value: Employee, label: employment type} + - {column: J, row: 4198, expected_value: Value, label: measure} + - {column: L, row: 4199, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4200 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4200, expected_value: E12000002, label: geography} + - {column: D, row: 4200, expected_value: Males, label: sex} + - {column: E, row: 4200, expected_value: Employee, label: employment type} + - {column: J, row: 4200, expected_value: Value, label: measure} + - {column: L, row: 4201, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4202 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4202, expected_value: E12000002, label: geography} + - {column: D, row: 4202, expected_value: Males, label: sex} + - {column: E, row: 4202, expected_value: Employee, label: employment type} + - {column: J, row: 4202, expected_value: Value, label: measure} + - {column: L, row: 4203, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4204 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4204, expected_value: E12000002, label: geography} + - {column: D, row: 4204, expected_value: Males, label: sex} + - {column: E, row: 4204, expected_value: Employee, label: employment type} + - {column: J, row: 4204, expected_value: Value, label: measure} + - {column: L, row: 4205, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4206 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4206, expected_value: E12000002, label: geography} + - {column: D, row: 4206, expected_value: Males, label: sex} + - {column: E, row: 4206, expected_value: Employee, label: employment type} + - {column: J, row: 4206, expected_value: Value, label: measure} + - {column: L, row: 4207, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4208 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4208, expected_value: E12000002, label: geography} + - {column: D, row: 4208, expected_value: Males, label: sex} + - {column: E, row: 4208, expected_value: Employee, label: employment type} + - {column: J, row: 4208, expected_value: Value, label: measure} + - {column: L, row: 4209, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4210 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4210, expected_value: E12000002, label: geography} + - {column: D, row: 4210, expected_value: Males, label: sex} + - {column: E, row: 4210, expected_value: Employee, label: employment type} + - {column: J, row: 4210, expected_value: Value, label: measure} + - {column: L, row: 4211, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4212 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4212, expected_value: E12000002, label: geography} + - {column: D, row: 4212, expected_value: Males, label: sex} + - {column: E, row: 4212, expected_value: Employee, label: employment type} + - {column: J, row: 4212, expected_value: Value, label: measure} + - {column: L, row: 4213, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4214 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4214, expected_value: E12000002, label: geography} + - {column: D, row: 4214, expected_value: Males, label: sex} + - {column: E, row: 4214, expected_value: Employee, label: employment type} + - {column: J, row: 4214, expected_value: Value, label: measure} + - {column: L, row: 4215, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4216 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4216, expected_value: E12000002, label: geography} + - {column: D, row: 4216, expected_value: Males, label: sex} + - {column: E, row: 4216, expected_value: Employee, label: employment type} + - {column: J, row: 4216, expected_value: Value, label: measure} + - {column: L, row: 4217, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4218 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4218, expected_value: E12000002, label: geography} + - {column: D, row: 4218, expected_value: Males, label: sex} + - {column: E, row: 4218, expected_value: Employee, label: employment type} + - {column: J, row: 4218, expected_value: Value, label: measure} + - {column: L, row: 4219, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4220 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4220, expected_value: E12000002, label: geography} + - {column: D, row: 4220, expected_value: Males, label: sex} + - {column: E, row: 4220, expected_value: Employee, label: employment type} + - {column: J, row: 4220, expected_value: Value, label: measure} + - {column: L, row: 4221, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4222 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4222, expected_value: E12000002, label: geography} + - {column: D, row: 4222, expected_value: Males, label: sex} + - {column: E, row: 4222, expected_value: Employee, label: employment type} + - {column: J, row: 4222, expected_value: Value, label: measure} + - {column: L, row: 4223, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4224 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4224, expected_value: E12000002, label: geography} + - {column: D, row: 4224, expected_value: Males, label: sex} + - {column: E, row: 4224, expected_value: Employee, label: employment type} + - {column: J, row: 4224, expected_value: Value, label: measure} + - {column: L, row: 4225, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4226 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4226, expected_value: E12000002, label: geography} + - {column: D, row: 4226, expected_value: Males, label: sex} + - {column: E, row: 4226, expected_value: Employee, label: employment type} + - {column: J, row: 4226, expected_value: Value, label: measure} + - {column: L, row: 4227, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4228 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4228, expected_value: E12000002, label: geography} + - {column: D, row: 4228, expected_value: Males, label: sex} + - {column: E, row: 4228, expected_value: Employee, label: employment type} + - {column: J, row: 4228, expected_value: Value, label: measure} + - {column: L, row: 4229, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4230 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4230, expected_value: E12000002, label: geography} + - {column: D, row: 4230, expected_value: Males, label: sex} + - {column: E, row: 4230, expected_value: Employee, label: employment type} + - {column: J, row: 4230, expected_value: Value, label: measure} + - {column: L, row: 4231, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4232 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4232, expected_value: E12000002, label: geography} + - {column: D, row: 4232, expected_value: Males, label: sex} + - {column: E, row: 4232, expected_value: Employee, label: employment type} + - {column: J, row: 4232, expected_value: Value, label: measure} + - {column: L, row: 4233, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4234 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4234, expected_value: E12000002, label: geography} + - {column: D, row: 4234, expected_value: Males, label: sex} + - {column: E, row: 4234, expected_value: Employee, label: employment type} + - {column: J, row: 4234, expected_value: Value, label: measure} + - {column: L, row: 4235, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4236 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4236, expected_value: E12000002, label: geography} + - {column: D, row: 4236, expected_value: Males, label: sex} + - {column: E, row: 4236, expected_value: Employee, label: employment type} + - {column: J, row: 4236, expected_value: Value, label: measure} + - {column: L, row: 4237, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4238 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4238, expected_value: E12000002, label: geography} + - {column: D, row: 4238, expected_value: Males, label: sex} + - {column: E, row: 4238, expected_value: Employee, label: employment type} + - {column: J, row: 4238, expected_value: Value, label: measure} + - {column: L, row: 4239, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4240 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4240, expected_value: E12000002, label: geography} + - {column: D, row: 4240, expected_value: Males, label: sex} + - {column: E, row: 4240, expected_value: Employee, label: employment type} + - {column: J, row: 4240, expected_value: Value, label: measure} + - {column: L, row: 4241, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4242 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4242, expected_value: E12000002, label: geography} + - {column: D, row: 4242, expected_value: Males, label: sex} + - {column: E, row: 4242, expected_value: Employee, label: employment type} + - {column: J, row: 4242, expected_value: Value, label: measure} + - {column: L, row: 4243, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4244 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4244, expected_value: E12000002, label: geography} + - {column: D, row: 4244, expected_value: Males, label: sex} + - {column: E, row: 4244, expected_value: Employee, label: employment type} + - {column: J, row: 4244, expected_value: Value, label: measure} + - {column: L, row: 4245, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4246 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4246, expected_value: E12000002, label: geography} + - {column: D, row: 4246, expected_value: Males, label: sex} + - {column: E, row: 4246, expected_value: Employee, label: employment type} + - {column: J, row: 4246, expected_value: Value, label: measure} + - {column: L, row: 4247, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4248 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4248, expected_value: E12000002, label: geography} + - {column: D, row: 4248, expected_value: Males, label: sex} + - {column: E, row: 4248, expected_value: Employee, label: employment type} + - {column: J, row: 4248, expected_value: Value, label: measure} + - {column: L, row: 4249, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4179 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4179, expected_value: E12000002, label: geography} + - {column: D, row: 4179, expected_value: Males, label: sex} + - {column: E, row: 4179, expected_value: Employee, label: employment type} + - {column: J, row: 4179, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4181 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4181, expected_value: E12000002, label: geography} + - {column: D, row: 4181, expected_value: Males, label: sex} + - {column: E, row: 4181, expected_value: Employee, label: employment type} + - {column: J, row: 4181, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4183 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4183, expected_value: E12000002, label: geography} + - {column: D, row: 4183, expected_value: Males, label: sex} + - {column: E, row: 4183, expected_value: Employee, label: employment type} + - {column: J, row: 4183, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4185 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4185, expected_value: E12000002, label: geography} + - {column: D, row: 4185, expected_value: Males, label: sex} + - {column: E, row: 4185, expected_value: Employee, label: employment type} + - {column: J, row: 4185, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4187 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4187, expected_value: E12000002, label: geography} + - {column: D, row: 4187, expected_value: Males, label: sex} + - {column: E, row: 4187, expected_value: Employee, label: employment type} + - {column: J, row: 4187, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4189 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4189, expected_value: E12000002, label: geography} + - {column: D, row: 4189, expected_value: Males, label: sex} + - {column: E, row: 4189, expected_value: Employee, label: employment type} + - {column: J, row: 4189, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4191 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4191, expected_value: E12000002, label: geography} + - {column: D, row: 4191, expected_value: Males, label: sex} + - {column: E, row: 4191, expected_value: Employee, label: employment type} + - {column: J, row: 4191, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4193 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4193, expected_value: E12000002, label: geography} + - {column: D, row: 4193, expected_value: Males, label: sex} + - {column: E, row: 4193, expected_value: Employee, label: employment type} + - {column: J, row: 4193, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4195 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4195, expected_value: E12000002, label: geography} + - {column: D, row: 4195, expected_value: Males, label: sex} + - {column: E, row: 4195, expected_value: Employee, label: employment type} + - {column: J, row: 4195, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4197 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4197, expected_value: E12000002, label: geography} + - {column: D, row: 4197, expected_value: Males, label: sex} + - {column: E, row: 4197, expected_value: Employee, label: employment type} + - {column: J, row: 4197, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4199 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4199, expected_value: E12000002, label: geography} + - {column: D, row: 4199, expected_value: Males, label: sex} + - {column: E, row: 4199, expected_value: Employee, label: employment type} + - {column: J, row: 4199, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4201 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4201, expected_value: E12000002, label: geography} + - {column: D, row: 4201, expected_value: Males, label: sex} + - {column: E, row: 4201, expected_value: Employee, label: employment type} + - {column: J, row: 4201, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4203 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4203, expected_value: E12000002, label: geography} + - {column: D, row: 4203, expected_value: Males, label: sex} + - {column: E, row: 4203, expected_value: Employee, label: employment type} + - {column: J, row: 4203, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4205 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4205, expected_value: E12000002, label: geography} + - {column: D, row: 4205, expected_value: Males, label: sex} + - {column: E, row: 4205, expected_value: Employee, label: employment type} + - {column: J, row: 4205, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4207 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4207, expected_value: E12000002, label: geography} + - {column: D, row: 4207, expected_value: Males, label: sex} + - {column: E, row: 4207, expected_value: Employee, label: employment type} + - {column: J, row: 4207, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4209 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4209, expected_value: E12000002, label: geography} + - {column: D, row: 4209, expected_value: Males, label: sex} + - {column: E, row: 4209, expected_value: Employee, label: employment type} + - {column: J, row: 4209, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4211 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4211, expected_value: E12000002, label: geography} + - {column: D, row: 4211, expected_value: Males, label: sex} + - {column: E, row: 4211, expected_value: Employee, label: employment type} + - {column: J, row: 4211, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4213 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4213, expected_value: E12000002, label: geography} + - {column: D, row: 4213, expected_value: Males, label: sex} + - {column: E, row: 4213, expected_value: Employee, label: employment type} + - {column: J, row: 4213, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4215 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4215, expected_value: E12000002, label: geography} + - {column: D, row: 4215, expected_value: Males, label: sex} + - {column: E, row: 4215, expected_value: Employee, label: employment type} + - {column: J, row: 4215, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4217 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4217, expected_value: E12000002, label: geography} + - {column: D, row: 4217, expected_value: Males, label: sex} + - {column: E, row: 4217, expected_value: Employee, label: employment type} + - {column: J, row: 4217, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4219 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4219, expected_value: E12000002, label: geography} + - {column: D, row: 4219, expected_value: Males, label: sex} + - {column: E, row: 4219, expected_value: Employee, label: employment type} + - {column: J, row: 4219, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4221 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4221, expected_value: E12000002, label: geography} + - {column: D, row: 4221, expected_value: Males, label: sex} + - {column: E, row: 4221, expected_value: Employee, label: employment type} + - {column: J, row: 4221, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4223 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4223, expected_value: E12000002, label: geography} + - {column: D, row: 4223, expected_value: Males, label: sex} + - {column: E, row: 4223, expected_value: Employee, label: employment type} + - {column: J, row: 4223, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4225 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4225, expected_value: E12000002, label: geography} + - {column: D, row: 4225, expected_value: Males, label: sex} + - {column: E, row: 4225, expected_value: Employee, label: employment type} + - {column: J, row: 4225, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4227 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4227, expected_value: E12000002, label: geography} + - {column: D, row: 4227, expected_value: Males, label: sex} + - {column: E, row: 4227, expected_value: Employee, label: employment type} + - {column: J, row: 4227, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4229 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4229, expected_value: E12000002, label: geography} + - {column: D, row: 4229, expected_value: Males, label: sex} + - {column: E, row: 4229, expected_value: Employee, label: employment type} + - {column: J, row: 4229, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4233 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4233, expected_value: E12000002, label: geography} + - {column: D, row: 4233, expected_value: Males, label: sex} + - {column: E, row: 4233, expected_value: Employee, label: employment type} + - {column: J, row: 4233, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4235 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4235, expected_value: E12000002, label: geography} + - {column: D, row: 4235, expected_value: Males, label: sex} + - {column: E, row: 4235, expected_value: Employee, label: employment type} + - {column: J, row: 4235, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4237 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4237, expected_value: E12000002, label: geography} + - {column: D, row: 4237, expected_value: Males, label: sex} + - {column: E, row: 4237, expected_value: Employee, label: employment type} + - {column: J, row: 4237, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4239 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4239, expected_value: E12000002, label: geography} + - {column: D, row: 4239, expected_value: Males, label: sex} + - {column: E, row: 4239, expected_value: Employee, label: employment type} + - {column: J, row: 4239, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4241 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4241, expected_value: E12000002, label: geography} + - {column: D, row: 4241, expected_value: Males, label: sex} + - {column: E, row: 4241, expected_value: Employee, label: employment type} + - {column: J, row: 4241, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4243 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4243, expected_value: E12000002, label: geography} + - {column: D, row: 4243, expected_value: Males, label: sex} + - {column: E, row: 4243, expected_value: Employee, label: employment type} + - {column: J, row: 4243, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4245 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4245, expected_value: E12000002, label: geography} + - {column: D, row: 4245, expected_value: Males, label: sex} + - {column: E, row: 4245, expected_value: Employee, label: employment type} + - {column: J, row: 4245, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4247 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4247, expected_value: E12000002, label: geography} + - {column: D, row: 4247, expected_value: Males, label: sex} + - {column: E, row: 4247, expected_value: Employee, label: employment type} + - {column: J, row: 4247, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4249 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4249, expected_value: E12000002, label: geography} + - {column: D, row: 4249, expected_value: Males, label: sex} + - {column: E, row: 4249, expected_value: Employee, label: employment type} + - {column: J, row: 4249, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4394 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4394, expected_value: E12000002, label: geography} + - {column: D, row: 4394, expected_value: Males, label: sex} + - {column: E, row: 4394, expected_value: Self-employed, label: employment type} + - {column: J, row: 4394, expected_value: Value, label: measure} + - {column: L, row: 4395, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4396 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4396, expected_value: E12000002, label: geography} + - {column: D, row: 4396, expected_value: Males, label: sex} + - {column: E, row: 4396, expected_value: Self-employed, label: employment type} + - {column: J, row: 4396, expected_value: Value, label: measure} + - {column: L, row: 4397, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4398 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4398, expected_value: E12000002, label: geography} + - {column: D, row: 4398, expected_value: Males, label: sex} + - {column: E, row: 4398, expected_value: Self-employed, label: employment type} + - {column: J, row: 4398, expected_value: Value, label: measure} + - {column: L, row: 4399, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4400 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4400, expected_value: E12000002, label: geography} + - {column: D, row: 4400, expected_value: Males, label: sex} + - {column: E, row: 4400, expected_value: Self-employed, label: employment type} + - {column: J, row: 4400, expected_value: Value, label: measure} + - {column: L, row: 4401, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4402 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4402, expected_value: E12000002, label: geography} + - {column: D, row: 4402, expected_value: Males, label: sex} + - {column: E, row: 4402, expected_value: Self-employed, label: employment type} + - {column: J, row: 4402, expected_value: Value, label: measure} + - {column: L, row: 4403, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4404 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4404, expected_value: E12000002, label: geography} + - {column: D, row: 4404, expected_value: Males, label: sex} + - {column: E, row: 4404, expected_value: Self-employed, label: employment type} + - {column: J, row: 4404, expected_value: Value, label: measure} + - {column: L, row: 4405, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4406 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4406, expected_value: E12000002, label: geography} + - {column: D, row: 4406, expected_value: Males, label: sex} + - {column: E, row: 4406, expected_value: Self-employed, label: employment type} + - {column: J, row: 4406, expected_value: Value, label: measure} + - {column: L, row: 4407, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4408 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4408, expected_value: E12000002, label: geography} + - {column: D, row: 4408, expected_value: Males, label: sex} + - {column: E, row: 4408, expected_value: Self-employed, label: employment type} + - {column: J, row: 4408, expected_value: Value, label: measure} + - {column: L, row: 4409, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4410 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4410, expected_value: E12000002, label: geography} + - {column: D, row: 4410, expected_value: Males, label: sex} + - {column: E, row: 4410, expected_value: Self-employed, label: employment type} + - {column: J, row: 4410, expected_value: Value, label: measure} + - {column: L, row: 4411, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4412 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4412, expected_value: E12000002, label: geography} + - {column: D, row: 4412, expected_value: Males, label: sex} + - {column: E, row: 4412, expected_value: Self-employed, label: employment type} + - {column: J, row: 4412, expected_value: Value, label: measure} + - {column: L, row: 4413, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4414 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4414, expected_value: E12000002, label: geography} + - {column: D, row: 4414, expected_value: Males, label: sex} + - {column: E, row: 4414, expected_value: Self-employed, label: employment type} + - {column: J, row: 4414, expected_value: Value, label: measure} + - {column: L, row: 4415, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4416 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4416, expected_value: E12000002, label: geography} + - {column: D, row: 4416, expected_value: Males, label: sex} + - {column: E, row: 4416, expected_value: Self-employed, label: employment type} + - {column: J, row: 4416, expected_value: Value, label: measure} + - {column: L, row: 4417, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4420 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4420, expected_value: E12000002, label: geography} + - {column: D, row: 4420, expected_value: Males, label: sex} + - {column: E, row: 4420, expected_value: Self-employed, label: employment type} + - {column: J, row: 4420, expected_value: Value, label: measure} + - {column: L, row: 4421, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4422 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4422, expected_value: E12000002, label: geography} + - {column: D, row: 4422, expected_value: Males, label: sex} + - {column: E, row: 4422, expected_value: Self-employed, label: employment type} + - {column: J, row: 4422, expected_value: Value, label: measure} + - {column: L, row: 4423, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4424 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4424, expected_value: E12000002, label: geography} + - {column: D, row: 4424, expected_value: Males, label: sex} + - {column: E, row: 4424, expected_value: Self-employed, label: employment type} + - {column: J, row: 4424, expected_value: Value, label: measure} + - {column: L, row: 4425, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4426 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4426, expected_value: E12000002, label: geography} + - {column: D, row: 4426, expected_value: Males, label: sex} + - {column: E, row: 4426, expected_value: Self-employed, label: employment type} + - {column: J, row: 4426, expected_value: Value, label: measure} + - {column: L, row: 4427, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4430 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4430, expected_value: E12000002, label: geography} + - {column: D, row: 4430, expected_value: Males, label: sex} + - {column: E, row: 4430, expected_value: Self-employed, label: employment type} + - {column: J, row: 4430, expected_value: Value, label: measure} + - {column: L, row: 4431, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4432 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4432, expected_value: E12000002, label: geography} + - {column: D, row: 4432, expected_value: Males, label: sex} + - {column: E, row: 4432, expected_value: Self-employed, label: employment type} + - {column: J, row: 4432, expected_value: Value, label: measure} + - {column: L, row: 4433, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4434 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4434, expected_value: E12000002, label: geography} + - {column: D, row: 4434, expected_value: Males, label: sex} + - {column: E, row: 4434, expected_value: Self-employed, label: employment type} + - {column: J, row: 4434, expected_value: Value, label: measure} + - {column: L, row: 4435, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4436 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4436, expected_value: E12000002, label: geography} + - {column: D, row: 4436, expected_value: Males, label: sex} + - {column: E, row: 4436, expected_value: Self-employed, label: employment type} + - {column: J, row: 4436, expected_value: Value, label: measure} + - {column: L, row: 4437, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4438 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4438, expected_value: E12000002, label: geography} + - {column: D, row: 4438, expected_value: Males, label: sex} + - {column: E, row: 4438, expected_value: Self-employed, label: employment type} + - {column: J, row: 4438, expected_value: Value, label: measure} + - {column: L, row: 4439, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4440 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4440, expected_value: E12000002, label: geography} + - {column: D, row: 4440, expected_value: Males, label: sex} + - {column: E, row: 4440, expected_value: Self-employed, label: employment type} + - {column: J, row: 4440, expected_value: Value, label: measure} + - {column: L, row: 4441, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4442 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4442, expected_value: E12000002, label: geography} + - {column: D, row: 4442, expected_value: Males, label: sex} + - {column: E, row: 4442, expected_value: Self-employed, label: employment type} + - {column: J, row: 4442, expected_value: Value, label: measure} + - {column: L, row: 4443, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4444 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4444, expected_value: E12000002, label: geography} + - {column: D, row: 4444, expected_value: Males, label: sex} + - {column: E, row: 4444, expected_value: Self-employed, label: employment type} + - {column: J, row: 4444, expected_value: Value, label: measure} + - {column: L, row: 4445, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4448 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4448, expected_value: E12000002, label: geography} + - {column: D, row: 4448, expected_value: Males, label: sex} + - {column: E, row: 4448, expected_value: Self-employed, label: employment type} + - {column: J, row: 4448, expected_value: Value, label: measure} + - {column: L, row: 4449, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4450 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4450, expected_value: E12000002, label: geography} + - {column: D, row: 4450, expected_value: Males, label: sex} + - {column: E, row: 4450, expected_value: Self-employed, label: employment type} + - {column: J, row: 4450, expected_value: Value, label: measure} + - {column: L, row: 4451, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4454 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4454, expected_value: E12000002, label: geography} + - {column: D, row: 4454, expected_value: Males, label: sex} + - {column: E, row: 4454, expected_value: Self-employed, label: employment type} + - {column: J, row: 4454, expected_value: Value, label: measure} + - {column: L, row: 4455, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4456 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4456, expected_value: E12000002, label: geography} + - {column: D, row: 4456, expected_value: Males, label: sex} + - {column: E, row: 4456, expected_value: Self-employed, label: employment type} + - {column: J, row: 4456, expected_value: Value, label: measure} + - {column: L, row: 4457, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4458 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4458, expected_value: E12000002, label: geography} + - {column: D, row: 4458, expected_value: Males, label: sex} + - {column: E, row: 4458, expected_value: Self-employed, label: employment type} + - {column: J, row: 4458, expected_value: Value, label: measure} + - {column: L, row: 4459, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4460 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4460, expected_value: E12000002, label: geography} + - {column: D, row: 4460, expected_value: Males, label: sex} + - {column: E, row: 4460, expected_value: Self-employed, label: employment type} + - {column: J, row: 4460, expected_value: Value, label: measure} + - {column: L, row: 4461, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4462 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4462, expected_value: E12000002, label: geography} + - {column: D, row: 4462, expected_value: Males, label: sex} + - {column: E, row: 4462, expected_value: Self-employed, label: employment type} + - {column: J, row: 4462, expected_value: Value, label: measure} + - {column: L, row: 4463, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4464 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4464, expected_value: E12000002, label: geography} + - {column: D, row: 4464, expected_value: Males, label: sex} + - {column: E, row: 4464, expected_value: Self-employed, label: employment type} + - {column: J, row: 4464, expected_value: Value, label: measure} + - {column: L, row: 4465, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4395 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4395, expected_value: E12000002, label: geography} + - {column: D, row: 4395, expected_value: Males, label: sex} + - {column: E, row: 4395, expected_value: Self-employed, label: employment type} + - {column: J, row: 4395, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4397 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4397, expected_value: E12000002, label: geography} + - {column: D, row: 4397, expected_value: Males, label: sex} + - {column: E, row: 4397, expected_value: Self-employed, label: employment type} + - {column: J, row: 4397, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4399 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4399, expected_value: E12000002, label: geography} + - {column: D, row: 4399, expected_value: Males, label: sex} + - {column: E, row: 4399, expected_value: Self-employed, label: employment type} + - {column: J, row: 4399, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4401 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4401, expected_value: E12000002, label: geography} + - {column: D, row: 4401, expected_value: Males, label: sex} + - {column: E, row: 4401, expected_value: Self-employed, label: employment type} + - {column: J, row: 4401, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4403 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4403, expected_value: E12000002, label: geography} + - {column: D, row: 4403, expected_value: Males, label: sex} + - {column: E, row: 4403, expected_value: Self-employed, label: employment type} + - {column: J, row: 4403, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4405 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4405, expected_value: E12000002, label: geography} + - {column: D, row: 4405, expected_value: Males, label: sex} + - {column: E, row: 4405, expected_value: Self-employed, label: employment type} + - {column: J, row: 4405, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4407 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4407, expected_value: E12000002, label: geography} + - {column: D, row: 4407, expected_value: Males, label: sex} + - {column: E, row: 4407, expected_value: Self-employed, label: employment type} + - {column: J, row: 4407, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4409 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4409, expected_value: E12000002, label: geography} + - {column: D, row: 4409, expected_value: Males, label: sex} + - {column: E, row: 4409, expected_value: Self-employed, label: employment type} + - {column: J, row: 4409, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4411 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4411, expected_value: E12000002, label: geography} + - {column: D, row: 4411, expected_value: Males, label: sex} + - {column: E, row: 4411, expected_value: Self-employed, label: employment type} + - {column: J, row: 4411, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4413 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4413, expected_value: E12000002, label: geography} + - {column: D, row: 4413, expected_value: Males, label: sex} + - {column: E, row: 4413, expected_value: Self-employed, label: employment type} + - {column: J, row: 4413, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4421 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4421, expected_value: E12000002, label: geography} + - {column: D, row: 4421, expected_value: Males, label: sex} + - {column: E, row: 4421, expected_value: Self-employed, label: employment type} + - {column: J, row: 4421, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4423 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4423, expected_value: E12000002, label: geography} + - {column: D, row: 4423, expected_value: Males, label: sex} + - {column: E, row: 4423, expected_value: Self-employed, label: employment type} + - {column: J, row: 4423, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4425 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4425, expected_value: E12000002, label: geography} + - {column: D, row: 4425, expected_value: Males, label: sex} + - {column: E, row: 4425, expected_value: Self-employed, label: employment type} + - {column: J, row: 4425, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4427 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4427, expected_value: E12000002, label: geography} + - {column: D, row: 4427, expected_value: Males, label: sex} + - {column: E, row: 4427, expected_value: Self-employed, label: employment type} + - {column: J, row: 4427, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4431 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4431, expected_value: E12000002, label: geography} + - {column: D, row: 4431, expected_value: Males, label: sex} + - {column: E, row: 4431, expected_value: Self-employed, label: employment type} + - {column: J, row: 4431, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4433 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4433, expected_value: E12000002, label: geography} + - {column: D, row: 4433, expected_value: Males, label: sex} + - {column: E, row: 4433, expected_value: Self-employed, label: employment type} + - {column: J, row: 4433, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4435 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4435, expected_value: E12000002, label: geography} + - {column: D, row: 4435, expected_value: Males, label: sex} + - {column: E, row: 4435, expected_value: Self-employed, label: employment type} + - {column: J, row: 4435, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4437 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4437, expected_value: E12000002, label: geography} + - {column: D, row: 4437, expected_value: Males, label: sex} + - {column: E, row: 4437, expected_value: Self-employed, label: employment type} + - {column: J, row: 4437, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4439 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4439, expected_value: E12000002, label: geography} + - {column: D, row: 4439, expected_value: Males, label: sex} + - {column: E, row: 4439, expected_value: Self-employed, label: employment type} + - {column: J, row: 4439, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4441 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4441, expected_value: E12000002, label: geography} + - {column: D, row: 4441, expected_value: Males, label: sex} + - {column: E, row: 4441, expected_value: Self-employed, label: employment type} + - {column: J, row: 4441, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4449 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4449, expected_value: E12000002, label: geography} + - {column: D, row: 4449, expected_value: Males, label: sex} + - {column: E, row: 4449, expected_value: Self-employed, label: employment type} + - {column: J, row: 4449, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4451 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4451, expected_value: E12000002, label: geography} + - {column: D, row: 4451, expected_value: Males, label: sex} + - {column: E, row: 4451, expected_value: Self-employed, label: employment type} + - {column: J, row: 4451, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4455 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4455, expected_value: E12000002, label: geography} + - {column: D, row: 4455, expected_value: Males, label: sex} + - {column: E, row: 4455, expected_value: Self-employed, label: employment type} + - {column: J, row: 4455, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4457 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4457, expected_value: E12000002, label: geography} + - {column: D, row: 4457, expected_value: Males, label: sex} + - {column: E, row: 4457, expected_value: Self-employed, label: employment type} + - {column: J, row: 4457, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4459 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4459, expected_value: E12000002, label: geography} + - {column: D, row: 4459, expected_value: Males, label: sex} + - {column: E, row: 4459, expected_value: Self-employed, label: employment type} + - {column: J, row: 4459, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4461 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4461, expected_value: E12000002, label: geography} + - {column: D, row: 4461, expected_value: Males, label: sex} + - {column: E, row: 4461, expected_value: Self-employed, label: employment type} + - {column: J, row: 4461, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4463 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4463, expected_value: E12000002, label: geography} + - {column: D, row: 4463, expected_value: Males, label: sex} + - {column: E, row: 4463, expected_value: Self-employed, label: employment type} + - {column: J, row: 4463, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4465 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4465, expected_value: E12000002, label: geography} + - {column: D, row: 4465, expected_value: Males, label: sex} + - {column: E, row: 4465, expected_value: Self-employed, label: employment type} + - {column: J, row: 4465, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4034 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4034, expected_value: E12000002, label: geography} + - {column: D, row: 4034, expected_value: Females, label: sex} + - {column: E, row: 4034, expected_value: Total, label: employment type} + - {column: J, row: 4034, expected_value: Value, label: measure} + - {column: L, row: 4035, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4036 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4036, expected_value: E12000002, label: geography} + - {column: D, row: 4036, expected_value: Females, label: sex} + - {column: E, row: 4036, expected_value: Total, label: employment type} + - {column: J, row: 4036, expected_value: Value, label: measure} + - {column: L, row: 4037, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4038 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4038, expected_value: E12000002, label: geography} + - {column: D, row: 4038, expected_value: Females, label: sex} + - {column: E, row: 4038, expected_value: Total, label: employment type} + - {column: J, row: 4038, expected_value: Value, label: measure} + - {column: L, row: 4039, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4040 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4040, expected_value: E12000002, label: geography} + - {column: D, row: 4040, expected_value: Females, label: sex} + - {column: E, row: 4040, expected_value: Total, label: employment type} + - {column: J, row: 4040, expected_value: Value, label: measure} + - {column: L, row: 4041, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4042 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4042, expected_value: E12000002, label: geography} + - {column: D, row: 4042, expected_value: Females, label: sex} + - {column: E, row: 4042, expected_value: Total, label: employment type} + - {column: J, row: 4042, expected_value: Value, label: measure} + - {column: L, row: 4043, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4044 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4044, expected_value: E12000002, label: geography} + - {column: D, row: 4044, expected_value: Females, label: sex} + - {column: E, row: 4044, expected_value: Total, label: employment type} + - {column: J, row: 4044, expected_value: Value, label: measure} + - {column: L, row: 4045, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4046 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4046, expected_value: E12000002, label: geography} + - {column: D, row: 4046, expected_value: Females, label: sex} + - {column: E, row: 4046, expected_value: Total, label: employment type} + - {column: J, row: 4046, expected_value: Value, label: measure} + - {column: L, row: 4047, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4048 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4048, expected_value: E12000002, label: geography} + - {column: D, row: 4048, expected_value: Females, label: sex} + - {column: E, row: 4048, expected_value: Total, label: employment type} + - {column: J, row: 4048, expected_value: Value, label: measure} + - {column: L, row: 4049, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4050 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4050, expected_value: E12000002, label: geography} + - {column: D, row: 4050, expected_value: Females, label: sex} + - {column: E, row: 4050, expected_value: Total, label: employment type} + - {column: J, row: 4050, expected_value: Value, label: measure} + - {column: L, row: 4051, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4052 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4052, expected_value: E12000002, label: geography} + - {column: D, row: 4052, expected_value: Females, label: sex} + - {column: E, row: 4052, expected_value: Total, label: employment type} + - {column: J, row: 4052, expected_value: Value, label: measure} + - {column: L, row: 4053, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4054 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4054, expected_value: E12000002, label: geography} + - {column: D, row: 4054, expected_value: Females, label: sex} + - {column: E, row: 4054, expected_value: Total, label: employment type} + - {column: J, row: 4054, expected_value: Value, label: measure} + - {column: L, row: 4055, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4056 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4056, expected_value: E12000002, label: geography} + - {column: D, row: 4056, expected_value: Females, label: sex} + - {column: E, row: 4056, expected_value: Total, label: employment type} + - {column: J, row: 4056, expected_value: Value, label: measure} + - {column: L, row: 4057, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4058 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4058, expected_value: E12000002, label: geography} + - {column: D, row: 4058, expected_value: Females, label: sex} + - {column: E, row: 4058, expected_value: Total, label: employment type} + - {column: J, row: 4058, expected_value: Value, label: measure} + - {column: L, row: 4059, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4060 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4060, expected_value: E12000002, label: geography} + - {column: D, row: 4060, expected_value: Females, label: sex} + - {column: E, row: 4060, expected_value: Total, label: employment type} + - {column: J, row: 4060, expected_value: Value, label: measure} + - {column: L, row: 4061, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4062 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4062, expected_value: E12000002, label: geography} + - {column: D, row: 4062, expected_value: Females, label: sex} + - {column: E, row: 4062, expected_value: Total, label: employment type} + - {column: J, row: 4062, expected_value: Value, label: measure} + - {column: L, row: 4063, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4064 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4064, expected_value: E12000002, label: geography} + - {column: D, row: 4064, expected_value: Females, label: sex} + - {column: E, row: 4064, expected_value: Total, label: employment type} + - {column: J, row: 4064, expected_value: Value, label: measure} + - {column: L, row: 4065, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4066 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4066, expected_value: E12000002, label: geography} + - {column: D, row: 4066, expected_value: Females, label: sex} + - {column: E, row: 4066, expected_value: Total, label: employment type} + - {column: J, row: 4066, expected_value: Value, label: measure} + - {column: L, row: 4067, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4068 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4068, expected_value: E12000002, label: geography} + - {column: D, row: 4068, expected_value: Females, label: sex} + - {column: E, row: 4068, expected_value: Total, label: employment type} + - {column: J, row: 4068, expected_value: Value, label: measure} + - {column: L, row: 4069, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4070 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4070, expected_value: E12000002, label: geography} + - {column: D, row: 4070, expected_value: Females, label: sex} + - {column: E, row: 4070, expected_value: Total, label: employment type} + - {column: J, row: 4070, expected_value: Value, label: measure} + - {column: L, row: 4071, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4072 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4072, expected_value: E12000002, label: geography} + - {column: D, row: 4072, expected_value: Females, label: sex} + - {column: E, row: 4072, expected_value: Total, label: employment type} + - {column: J, row: 4072, expected_value: Value, label: measure} + - {column: L, row: 4073, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4074 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4074, expected_value: E12000002, label: geography} + - {column: D, row: 4074, expected_value: Females, label: sex} + - {column: E, row: 4074, expected_value: Total, label: employment type} + - {column: J, row: 4074, expected_value: Value, label: measure} + - {column: L, row: 4075, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4076 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4076, expected_value: E12000002, label: geography} + - {column: D, row: 4076, expected_value: Females, label: sex} + - {column: E, row: 4076, expected_value: Total, label: employment type} + - {column: J, row: 4076, expected_value: Value, label: measure} + - {column: L, row: 4077, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4078 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4078, expected_value: E12000002, label: geography} + - {column: D, row: 4078, expected_value: Females, label: sex} + - {column: E, row: 4078, expected_value: Total, label: employment type} + - {column: J, row: 4078, expected_value: Value, label: measure} + - {column: L, row: 4079, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4080 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4080, expected_value: E12000002, label: geography} + - {column: D, row: 4080, expected_value: Females, label: sex} + - {column: E, row: 4080, expected_value: Total, label: employment type} + - {column: J, row: 4080, expected_value: Value, label: measure} + - {column: L, row: 4081, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4082 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4082, expected_value: E12000002, label: geography} + - {column: D, row: 4082, expected_value: Females, label: sex} + - {column: E, row: 4082, expected_value: Total, label: employment type} + - {column: J, row: 4082, expected_value: Value, label: measure} + - {column: L, row: 4083, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4084 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4084, expected_value: E12000002, label: geography} + - {column: D, row: 4084, expected_value: Females, label: sex} + - {column: E, row: 4084, expected_value: Total, label: employment type} + - {column: J, row: 4084, expected_value: Value, label: measure} + - {column: L, row: 4085, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4086 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4086, expected_value: E12000002, label: geography} + - {column: D, row: 4086, expected_value: Females, label: sex} + - {column: E, row: 4086, expected_value: Total, label: employment type} + - {column: J, row: 4086, expected_value: Value, label: measure} + - {column: L, row: 4087, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4088 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4088, expected_value: E12000002, label: geography} + - {column: D, row: 4088, expected_value: Females, label: sex} + - {column: E, row: 4088, expected_value: Total, label: employment type} + - {column: J, row: 4088, expected_value: Value, label: measure} + - {column: L, row: 4089, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4090 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4090, expected_value: E12000002, label: geography} + - {column: D, row: 4090, expected_value: Females, label: sex} + - {column: E, row: 4090, expected_value: Total, label: employment type} + - {column: J, row: 4090, expected_value: Value, label: measure} + - {column: L, row: 4091, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4092 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4092, expected_value: E12000002, label: geography} + - {column: D, row: 4092, expected_value: Females, label: sex} + - {column: E, row: 4092, expected_value: Total, label: employment type} + - {column: J, row: 4092, expected_value: Value, label: measure} + - {column: L, row: 4093, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4094 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4094, expected_value: E12000002, label: geography} + - {column: D, row: 4094, expected_value: Females, label: sex} + - {column: E, row: 4094, expected_value: Total, label: employment type} + - {column: J, row: 4094, expected_value: Value, label: measure} + - {column: L, row: 4095, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4096 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4096, expected_value: E12000002, label: geography} + - {column: D, row: 4096, expected_value: Females, label: sex} + - {column: E, row: 4096, expected_value: Total, label: employment type} + - {column: J, row: 4096, expected_value: Value, label: measure} + - {column: L, row: 4097, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4098 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4098, expected_value: E12000002, label: geography} + - {column: D, row: 4098, expected_value: Females, label: sex} + - {column: E, row: 4098, expected_value: Total, label: employment type} + - {column: J, row: 4098, expected_value: Value, label: measure} + - {column: L, row: 4099, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4100 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4100, expected_value: E12000002, label: geography} + - {column: D, row: 4100, expected_value: Females, label: sex} + - {column: E, row: 4100, expected_value: Total, label: employment type} + - {column: J, row: 4100, expected_value: Value, label: measure} + - {column: L, row: 4101, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4102 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4102, expected_value: E12000002, label: geography} + - {column: D, row: 4102, expected_value: Females, label: sex} + - {column: E, row: 4102, expected_value: Total, label: employment type} + - {column: J, row: 4102, expected_value: Value, label: measure} + - {column: L, row: 4103, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4104 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4104, expected_value: E12000002, label: geography} + - {column: D, row: 4104, expected_value: Females, label: sex} + - {column: E, row: 4104, expected_value: Total, label: employment type} + - {column: J, row: 4104, expected_value: Value, label: measure} + - {column: L, row: 4105, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4035 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4035, expected_value: E12000002, label: geography} + - {column: D, row: 4035, expected_value: Females, label: sex} + - {column: E, row: 4035, expected_value: Total, label: employment type} + - {column: J, row: 4035, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4037 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4037, expected_value: E12000002, label: geography} + - {column: D, row: 4037, expected_value: Females, label: sex} + - {column: E, row: 4037, expected_value: Total, label: employment type} + - {column: J, row: 4037, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4039 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4039, expected_value: E12000002, label: geography} + - {column: D, row: 4039, expected_value: Females, label: sex} + - {column: E, row: 4039, expected_value: Total, label: employment type} + - {column: J, row: 4039, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4041 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4041, expected_value: E12000002, label: geography} + - {column: D, row: 4041, expected_value: Females, label: sex} + - {column: E, row: 4041, expected_value: Total, label: employment type} + - {column: J, row: 4041, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4043 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4043, expected_value: E12000002, label: geography} + - {column: D, row: 4043, expected_value: Females, label: sex} + - {column: E, row: 4043, expected_value: Total, label: employment type} + - {column: J, row: 4043, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4045 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4045, expected_value: E12000002, label: geography} + - {column: D, row: 4045, expected_value: Females, label: sex} + - {column: E, row: 4045, expected_value: Total, label: employment type} + - {column: J, row: 4045, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4047 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4047, expected_value: E12000002, label: geography} + - {column: D, row: 4047, expected_value: Females, label: sex} + - {column: E, row: 4047, expected_value: Total, label: employment type} + - {column: J, row: 4047, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4049 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4049, expected_value: E12000002, label: geography} + - {column: D, row: 4049, expected_value: Females, label: sex} + - {column: E, row: 4049, expected_value: Total, label: employment type} + - {column: J, row: 4049, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4051 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4051, expected_value: E12000002, label: geography} + - {column: D, row: 4051, expected_value: Females, label: sex} + - {column: E, row: 4051, expected_value: Total, label: employment type} + - {column: J, row: 4051, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4053 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4053, expected_value: E12000002, label: geography} + - {column: D, row: 4053, expected_value: Females, label: sex} + - {column: E, row: 4053, expected_value: Total, label: employment type} + - {column: J, row: 4053, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4055 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4055, expected_value: E12000002, label: geography} + - {column: D, row: 4055, expected_value: Females, label: sex} + - {column: E, row: 4055, expected_value: Total, label: employment type} + - {column: J, row: 4055, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4057 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4057, expected_value: E12000002, label: geography} + - {column: D, row: 4057, expected_value: Females, label: sex} + - {column: E, row: 4057, expected_value: Total, label: employment type} + - {column: J, row: 4057, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4059 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4059, expected_value: E12000002, label: geography} + - {column: D, row: 4059, expected_value: Females, label: sex} + - {column: E, row: 4059, expected_value: Total, label: employment type} + - {column: J, row: 4059, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4061 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4061, expected_value: E12000002, label: geography} + - {column: D, row: 4061, expected_value: Females, label: sex} + - {column: E, row: 4061, expected_value: Total, label: employment type} + - {column: J, row: 4061, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4063 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4063, expected_value: E12000002, label: geography} + - {column: D, row: 4063, expected_value: Females, label: sex} + - {column: E, row: 4063, expected_value: Total, label: employment type} + - {column: J, row: 4063, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4065 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4065, expected_value: E12000002, label: geography} + - {column: D, row: 4065, expected_value: Females, label: sex} + - {column: E, row: 4065, expected_value: Total, label: employment type} + - {column: J, row: 4065, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4067 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4067, expected_value: E12000002, label: geography} + - {column: D, row: 4067, expected_value: Females, label: sex} + - {column: E, row: 4067, expected_value: Total, label: employment type} + - {column: J, row: 4067, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4069 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4069, expected_value: E12000002, label: geography} + - {column: D, row: 4069, expected_value: Females, label: sex} + - {column: E, row: 4069, expected_value: Total, label: employment type} + - {column: J, row: 4069, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4071 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4071, expected_value: E12000002, label: geography} + - {column: D, row: 4071, expected_value: Females, label: sex} + - {column: E, row: 4071, expected_value: Total, label: employment type} + - {column: J, row: 4071, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4079 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4079, expected_value: E12000002, label: geography} + - {column: D, row: 4079, expected_value: Females, label: sex} + - {column: E, row: 4079, expected_value: Total, label: employment type} + - {column: J, row: 4079, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4081 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4081, expected_value: E12000002, label: geography} + - {column: D, row: 4081, expected_value: Females, label: sex} + - {column: E, row: 4081, expected_value: Total, label: employment type} + - {column: J, row: 4081, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4083 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4083, expected_value: E12000002, label: geography} + - {column: D, row: 4083, expected_value: Females, label: sex} + - {column: E, row: 4083, expected_value: Total, label: employment type} + - {column: J, row: 4083, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4085 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4085, expected_value: E12000002, label: geography} + - {column: D, row: 4085, expected_value: Females, label: sex} + - {column: E, row: 4085, expected_value: Total, label: employment type} + - {column: J, row: 4085, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4089 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4089, expected_value: E12000002, label: geography} + - {column: D, row: 4089, expected_value: Females, label: sex} + - {column: E, row: 4089, expected_value: Total, label: employment type} + - {column: J, row: 4089, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4091 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4091, expected_value: E12000002, label: geography} + - {column: D, row: 4091, expected_value: Females, label: sex} + - {column: E, row: 4091, expected_value: Total, label: employment type} + - {column: J, row: 4091, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4093 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4093, expected_value: E12000002, label: geography} + - {column: D, row: 4093, expected_value: Females, label: sex} + - {column: E, row: 4093, expected_value: Total, label: employment type} + - {column: J, row: 4093, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4095 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4095, expected_value: E12000002, label: geography} + - {column: D, row: 4095, expected_value: Females, label: sex} + - {column: E, row: 4095, expected_value: Total, label: employment type} + - {column: J, row: 4095, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4097 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4097, expected_value: E12000002, label: geography} + - {column: D, row: 4097, expected_value: Females, label: sex} + - {column: E, row: 4097, expected_value: Total, label: employment type} + - {column: J, row: 4097, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4099 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4099, expected_value: E12000002, label: geography} + - {column: D, row: 4099, expected_value: Females, label: sex} + - {column: E, row: 4099, expected_value: Total, label: employment type} + - {column: J, row: 4099, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4101 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4101, expected_value: E12000002, label: geography} + - {column: D, row: 4101, expected_value: Females, label: sex} + - {column: E, row: 4101, expected_value: Total, label: employment type} + - {column: J, row: 4101, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4103 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4103, expected_value: E12000002, label: geography} + - {column: D, row: 4103, expected_value: Females, label: sex} + - {column: E, row: 4103, expected_value: Total, label: employment type} + - {column: J, row: 4103, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4105 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4105, expected_value: E12000002, label: geography} + - {column: D, row: 4105, expected_value: Females, label: sex} + - {column: E, row: 4105, expected_value: Total, label: employment type} + - {column: J, row: 4105, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4250 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4250, expected_value: E12000002, label: geography} + - {column: D, row: 4250, expected_value: Females, label: sex} + - {column: E, row: 4250, expected_value: Employee, label: employment type} + - {column: J, row: 4250, expected_value: Value, label: measure} + - {column: L, row: 4251, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4252 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4252, expected_value: E12000002, label: geography} + - {column: D, row: 4252, expected_value: Females, label: sex} + - {column: E, row: 4252, expected_value: Employee, label: employment type} + - {column: J, row: 4252, expected_value: Value, label: measure} + - {column: L, row: 4253, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4254 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4254, expected_value: E12000002, label: geography} + - {column: D, row: 4254, expected_value: Females, label: sex} + - {column: E, row: 4254, expected_value: Employee, label: employment type} + - {column: J, row: 4254, expected_value: Value, label: measure} + - {column: L, row: 4255, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4256 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4256, expected_value: E12000002, label: geography} + - {column: D, row: 4256, expected_value: Females, label: sex} + - {column: E, row: 4256, expected_value: Employee, label: employment type} + - {column: J, row: 4256, expected_value: Value, label: measure} + - {column: L, row: 4257, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4258 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4258, expected_value: E12000002, label: geography} + - {column: D, row: 4258, expected_value: Females, label: sex} + - {column: E, row: 4258, expected_value: Employee, label: employment type} + - {column: J, row: 4258, expected_value: Value, label: measure} + - {column: L, row: 4259, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4260 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4260, expected_value: E12000002, label: geography} + - {column: D, row: 4260, expected_value: Females, label: sex} + - {column: E, row: 4260, expected_value: Employee, label: employment type} + - {column: J, row: 4260, expected_value: Value, label: measure} + - {column: L, row: 4261, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4262 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4262, expected_value: E12000002, label: geography} + - {column: D, row: 4262, expected_value: Females, label: sex} + - {column: E, row: 4262, expected_value: Employee, label: employment type} + - {column: J, row: 4262, expected_value: Value, label: measure} + - {column: L, row: 4263, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4264 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4264, expected_value: E12000002, label: geography} + - {column: D, row: 4264, expected_value: Females, label: sex} + - {column: E, row: 4264, expected_value: Employee, label: employment type} + - {column: J, row: 4264, expected_value: Value, label: measure} + - {column: L, row: 4265, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4266 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4266, expected_value: E12000002, label: geography} + - {column: D, row: 4266, expected_value: Females, label: sex} + - {column: E, row: 4266, expected_value: Employee, label: employment type} + - {column: J, row: 4266, expected_value: Value, label: measure} + - {column: L, row: 4267, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4268 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4268, expected_value: E12000002, label: geography} + - {column: D, row: 4268, expected_value: Females, label: sex} + - {column: E, row: 4268, expected_value: Employee, label: employment type} + - {column: J, row: 4268, expected_value: Value, label: measure} + - {column: L, row: 4269, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4270 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4270, expected_value: E12000002, label: geography} + - {column: D, row: 4270, expected_value: Females, label: sex} + - {column: E, row: 4270, expected_value: Employee, label: employment type} + - {column: J, row: 4270, expected_value: Value, label: measure} + - {column: L, row: 4271, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4272 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4272, expected_value: E12000002, label: geography} + - {column: D, row: 4272, expected_value: Females, label: sex} + - {column: E, row: 4272, expected_value: Employee, label: employment type} + - {column: J, row: 4272, expected_value: Value, label: measure} + - {column: L, row: 4273, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4274 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4274, expected_value: E12000002, label: geography} + - {column: D, row: 4274, expected_value: Females, label: sex} + - {column: E, row: 4274, expected_value: Employee, label: employment type} + - {column: J, row: 4274, expected_value: Value, label: measure} + - {column: L, row: 4275, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4276 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4276, expected_value: E12000002, label: geography} + - {column: D, row: 4276, expected_value: Females, label: sex} + - {column: E, row: 4276, expected_value: Employee, label: employment type} + - {column: J, row: 4276, expected_value: Value, label: measure} + - {column: L, row: 4277, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4278 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4278, expected_value: E12000002, label: geography} + - {column: D, row: 4278, expected_value: Females, label: sex} + - {column: E, row: 4278, expected_value: Employee, label: employment type} + - {column: J, row: 4278, expected_value: Value, label: measure} + - {column: L, row: 4279, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4280 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4280, expected_value: E12000002, label: geography} + - {column: D, row: 4280, expected_value: Females, label: sex} + - {column: E, row: 4280, expected_value: Employee, label: employment type} + - {column: J, row: 4280, expected_value: Value, label: measure} + - {column: L, row: 4281, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4282 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4282, expected_value: E12000002, label: geography} + - {column: D, row: 4282, expected_value: Females, label: sex} + - {column: E, row: 4282, expected_value: Employee, label: employment type} + - {column: J, row: 4282, expected_value: Value, label: measure} + - {column: L, row: 4283, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4284 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4284, expected_value: E12000002, label: geography} + - {column: D, row: 4284, expected_value: Females, label: sex} + - {column: E, row: 4284, expected_value: Employee, label: employment type} + - {column: J, row: 4284, expected_value: Value, label: measure} + - {column: L, row: 4285, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4286 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4286, expected_value: E12000002, label: geography} + - {column: D, row: 4286, expected_value: Females, label: sex} + - {column: E, row: 4286, expected_value: Employee, label: employment type} + - {column: J, row: 4286, expected_value: Value, label: measure} + - {column: L, row: 4287, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4290 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4290, expected_value: E12000002, label: geography} + - {column: D, row: 4290, expected_value: Females, label: sex} + - {column: E, row: 4290, expected_value: Employee, label: employment type} + - {column: J, row: 4290, expected_value: Value, label: measure} + - {column: L, row: 4291, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4294 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4294, expected_value: E12000002, label: geography} + - {column: D, row: 4294, expected_value: Females, label: sex} + - {column: E, row: 4294, expected_value: Employee, label: employment type} + - {column: J, row: 4294, expected_value: Value, label: measure} + - {column: L, row: 4295, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4296 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4296, expected_value: E12000002, label: geography} + - {column: D, row: 4296, expected_value: Females, label: sex} + - {column: E, row: 4296, expected_value: Employee, label: employment type} + - {column: J, row: 4296, expected_value: Value, label: measure} + - {column: L, row: 4297, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4298 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4298, expected_value: E12000002, label: geography} + - {column: D, row: 4298, expected_value: Females, label: sex} + - {column: E, row: 4298, expected_value: Employee, label: employment type} + - {column: J, row: 4298, expected_value: Value, label: measure} + - {column: L, row: 4299, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4300 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4300, expected_value: E12000002, label: geography} + - {column: D, row: 4300, expected_value: Females, label: sex} + - {column: E, row: 4300, expected_value: Employee, label: employment type} + - {column: J, row: 4300, expected_value: Value, label: measure} + - {column: L, row: 4301, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4302 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4302, expected_value: E12000002, label: geography} + - {column: D, row: 4302, expected_value: Females, label: sex} + - {column: E, row: 4302, expected_value: Employee, label: employment type} + - {column: J, row: 4302, expected_value: Value, label: measure} + - {column: L, row: 4303, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4304 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4304, expected_value: E12000002, label: geography} + - {column: D, row: 4304, expected_value: Females, label: sex} + - {column: E, row: 4304, expected_value: Employee, label: employment type} + - {column: J, row: 4304, expected_value: Value, label: measure} + - {column: L, row: 4305, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4306 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4306, expected_value: E12000002, label: geography} + - {column: D, row: 4306, expected_value: Females, label: sex} + - {column: E, row: 4306, expected_value: Employee, label: employment type} + - {column: J, row: 4306, expected_value: Value, label: measure} + - {column: L, row: 4307, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4308 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4308, expected_value: E12000002, label: geography} + - {column: D, row: 4308, expected_value: Females, label: sex} + - {column: E, row: 4308, expected_value: Employee, label: employment type} + - {column: J, row: 4308, expected_value: Value, label: measure} + - {column: L, row: 4309, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4310 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4310, expected_value: E12000002, label: geography} + - {column: D, row: 4310, expected_value: Females, label: sex} + - {column: E, row: 4310, expected_value: Employee, label: employment type} + - {column: J, row: 4310, expected_value: Value, label: measure} + - {column: L, row: 4311, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4312 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4312, expected_value: E12000002, label: geography} + - {column: D, row: 4312, expected_value: Females, label: sex} + - {column: E, row: 4312, expected_value: Employee, label: employment type} + - {column: J, row: 4312, expected_value: Value, label: measure} + - {column: L, row: 4313, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4314 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4314, expected_value: E12000002, label: geography} + - {column: D, row: 4314, expected_value: Females, label: sex} + - {column: E, row: 4314, expected_value: Employee, label: employment type} + - {column: J, row: 4314, expected_value: Value, label: measure} + - {column: L, row: 4315, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4316 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4316, expected_value: E12000002, label: geography} + - {column: D, row: 4316, expected_value: Females, label: sex} + - {column: E, row: 4316, expected_value: Employee, label: employment type} + - {column: J, row: 4316, expected_value: Value, label: measure} + - {column: L, row: 4317, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4318 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4318, expected_value: E12000002, label: geography} + - {column: D, row: 4318, expected_value: Females, label: sex} + - {column: E, row: 4318, expected_value: Employee, label: employment type} + - {column: J, row: 4318, expected_value: Value, label: measure} + - {column: L, row: 4319, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4320 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4320, expected_value: E12000002, label: geography} + - {column: D, row: 4320, expected_value: Females, label: sex} + - {column: E, row: 4320, expected_value: Employee, label: employment type} + - {column: J, row: 4320, expected_value: Value, label: measure} + - {column: L, row: 4321, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4251 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4251, expected_value: E12000002, label: geography} + - {column: D, row: 4251, expected_value: Females, label: sex} + - {column: E, row: 4251, expected_value: Employee, label: employment type} + - {column: J, row: 4251, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4253 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4253, expected_value: E12000002, label: geography} + - {column: D, row: 4253, expected_value: Females, label: sex} + - {column: E, row: 4253, expected_value: Employee, label: employment type} + - {column: J, row: 4253, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4255 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4255, expected_value: E12000002, label: geography} + - {column: D, row: 4255, expected_value: Females, label: sex} + - {column: E, row: 4255, expected_value: Employee, label: employment type} + - {column: J, row: 4255, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4257 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4257, expected_value: E12000002, label: geography} + - {column: D, row: 4257, expected_value: Females, label: sex} + - {column: E, row: 4257, expected_value: Employee, label: employment type} + - {column: J, row: 4257, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4259 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4259, expected_value: E12000002, label: geography} + - {column: D, row: 4259, expected_value: Females, label: sex} + - {column: E, row: 4259, expected_value: Employee, label: employment type} + - {column: J, row: 4259, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4261 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4261, expected_value: E12000002, label: geography} + - {column: D, row: 4261, expected_value: Females, label: sex} + - {column: E, row: 4261, expected_value: Employee, label: employment type} + - {column: J, row: 4261, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4263 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4263, expected_value: E12000002, label: geography} + - {column: D, row: 4263, expected_value: Females, label: sex} + - {column: E, row: 4263, expected_value: Employee, label: employment type} + - {column: J, row: 4263, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4265 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4265, expected_value: E12000002, label: geography} + - {column: D, row: 4265, expected_value: Females, label: sex} + - {column: E, row: 4265, expected_value: Employee, label: employment type} + - {column: J, row: 4265, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4267 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4267, expected_value: E12000002, label: geography} + - {column: D, row: 4267, expected_value: Females, label: sex} + - {column: E, row: 4267, expected_value: Employee, label: employment type} + - {column: J, row: 4267, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4269 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4269, expected_value: E12000002, label: geography} + - {column: D, row: 4269, expected_value: Females, label: sex} + - {column: E, row: 4269, expected_value: Employee, label: employment type} + - {column: J, row: 4269, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4271 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4271, expected_value: E12000002, label: geography} + - {column: D, row: 4271, expected_value: Females, label: sex} + - {column: E, row: 4271, expected_value: Employee, label: employment type} + - {column: J, row: 4271, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4273 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4273, expected_value: E12000002, label: geography} + - {column: D, row: 4273, expected_value: Females, label: sex} + - {column: E, row: 4273, expected_value: Employee, label: employment type} + - {column: J, row: 4273, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4275 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4275, expected_value: E12000002, label: geography} + - {column: D, row: 4275, expected_value: Females, label: sex} + - {column: E, row: 4275, expected_value: Employee, label: employment type} + - {column: J, row: 4275, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4277 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4277, expected_value: E12000002, label: geography} + - {column: D, row: 4277, expected_value: Females, label: sex} + - {column: E, row: 4277, expected_value: Employee, label: employment type} + - {column: J, row: 4277, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4279 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4279, expected_value: E12000002, label: geography} + - {column: D, row: 4279, expected_value: Females, label: sex} + - {column: E, row: 4279, expected_value: Employee, label: employment type} + - {column: J, row: 4279, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4281 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4281, expected_value: E12000002, label: geography} + - {column: D, row: 4281, expected_value: Females, label: sex} + - {column: E, row: 4281, expected_value: Employee, label: employment type} + - {column: J, row: 4281, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4283 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4283, expected_value: E12000002, label: geography} + - {column: D, row: 4283, expected_value: Females, label: sex} + - {column: E, row: 4283, expected_value: Employee, label: employment type} + - {column: J, row: 4283, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4285 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4285, expected_value: E12000002, label: geography} + - {column: D, row: 4285, expected_value: Females, label: sex} + - {column: E, row: 4285, expected_value: Employee, label: employment type} + - {column: J, row: 4285, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4287 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4287, expected_value: E12000002, label: geography} + - {column: D, row: 4287, expected_value: Females, label: sex} + - {column: E, row: 4287, expected_value: Employee, label: employment type} + - {column: J, row: 4287, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4295 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4295, expected_value: E12000002, label: geography} + - {column: D, row: 4295, expected_value: Females, label: sex} + - {column: E, row: 4295, expected_value: Employee, label: employment type} + - {column: J, row: 4295, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4297 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4297, expected_value: E12000002, label: geography} + - {column: D, row: 4297, expected_value: Females, label: sex} + - {column: E, row: 4297, expected_value: Employee, label: employment type} + - {column: J, row: 4297, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4299 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4299, expected_value: E12000002, label: geography} + - {column: D, row: 4299, expected_value: Females, label: sex} + - {column: E, row: 4299, expected_value: Employee, label: employment type} + - {column: J, row: 4299, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4301 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4301, expected_value: E12000002, label: geography} + - {column: D, row: 4301, expected_value: Females, label: sex} + - {column: E, row: 4301, expected_value: Employee, label: employment type} + - {column: J, row: 4301, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4305 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4305, expected_value: E12000002, label: geography} + - {column: D, row: 4305, expected_value: Females, label: sex} + - {column: E, row: 4305, expected_value: Employee, label: employment type} + - {column: J, row: 4305, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4307 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4307, expected_value: E12000002, label: geography} + - {column: D, row: 4307, expected_value: Females, label: sex} + - {column: E, row: 4307, expected_value: Employee, label: employment type} + - {column: J, row: 4307, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4309 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4309, expected_value: E12000002, label: geography} + - {column: D, row: 4309, expected_value: Females, label: sex} + - {column: E, row: 4309, expected_value: Employee, label: employment type} + - {column: J, row: 4309, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4311 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4311, expected_value: E12000002, label: geography} + - {column: D, row: 4311, expected_value: Females, label: sex} + - {column: E, row: 4311, expected_value: Employee, label: employment type} + - {column: J, row: 4311, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4313 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4313, expected_value: E12000002, label: geography} + - {column: D, row: 4313, expected_value: Females, label: sex} + - {column: E, row: 4313, expected_value: Employee, label: employment type} + - {column: J, row: 4313, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4315 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4315, expected_value: E12000002, label: geography} + - {column: D, row: 4315, expected_value: Females, label: sex} + - {column: E, row: 4315, expected_value: Employee, label: employment type} + - {column: J, row: 4315, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4317 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4317, expected_value: E12000002, label: geography} + - {column: D, row: 4317, expected_value: Females, label: sex} + - {column: E, row: 4317, expected_value: Employee, label: employment type} + - {column: J, row: 4317, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4319 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4319, expected_value: E12000002, label: geography} + - {column: D, row: 4319, expected_value: Females, label: sex} + - {column: E, row: 4319, expected_value: Employee, label: employment type} + - {column: J, row: 4319, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4321 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4321, expected_value: E12000002, label: geography} + - {column: D, row: 4321, expected_value: Females, label: sex} + - {column: E, row: 4321, expected_value: Employee, label: employment type} + - {column: J, row: 4321, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4466 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4466, expected_value: E12000002, label: geography} + - {column: D, row: 4466, expected_value: Females, label: sex} + - {column: E, row: 4466, expected_value: Self-employed, label: employment type} + - {column: J, row: 4466, expected_value: Value, label: measure} + - {column: L, row: 4467, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4468 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4468, expected_value: E12000002, label: geography} + - {column: D, row: 4468, expected_value: Females, label: sex} + - {column: E, row: 4468, expected_value: Self-employed, label: employment type} + - {column: J, row: 4468, expected_value: Value, label: measure} + - {column: L, row: 4469, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4470 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4470, expected_value: E12000002, label: geography} + - {column: D, row: 4470, expected_value: Females, label: sex} + - {column: E, row: 4470, expected_value: Self-employed, label: employment type} + - {column: J, row: 4470, expected_value: Value, label: measure} + - {column: L, row: 4471, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4472 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4472, expected_value: E12000002, label: geography} + - {column: D, row: 4472, expected_value: Females, label: sex} + - {column: E, row: 4472, expected_value: Self-employed, label: employment type} + - {column: J, row: 4472, expected_value: Value, label: measure} + - {column: L, row: 4473, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4474 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4474, expected_value: E12000002, label: geography} + - {column: D, row: 4474, expected_value: Females, label: sex} + - {column: E, row: 4474, expected_value: Self-employed, label: employment type} + - {column: J, row: 4474, expected_value: Value, label: measure} + - {column: L, row: 4475, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4476 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4476, expected_value: E12000002, label: geography} + - {column: D, row: 4476, expected_value: Females, label: sex} + - {column: E, row: 4476, expected_value: Self-employed, label: employment type} + - {column: J, row: 4476, expected_value: Value, label: measure} + - {column: L, row: 4477, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4478 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4478, expected_value: E12000002, label: geography} + - {column: D, row: 4478, expected_value: Females, label: sex} + - {column: E, row: 4478, expected_value: Self-employed, label: employment type} + - {column: J, row: 4478, expected_value: Value, label: measure} + - {column: L, row: 4479, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4480 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4480, expected_value: E12000002, label: geography} + - {column: D, row: 4480, expected_value: Females, label: sex} + - {column: E, row: 4480, expected_value: Self-employed, label: employment type} + - {column: J, row: 4480, expected_value: Value, label: measure} + - {column: L, row: 4481, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4482 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4482, expected_value: E12000002, label: geography} + - {column: D, row: 4482, expected_value: Females, label: sex} + - {column: E, row: 4482, expected_value: Self-employed, label: employment type} + - {column: J, row: 4482, expected_value: Value, label: measure} + - {column: L, row: 4483, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4484 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4484, expected_value: E12000002, label: geography} + - {column: D, row: 4484, expected_value: Females, label: sex} + - {column: E, row: 4484, expected_value: Self-employed, label: employment type} + - {column: J, row: 4484, expected_value: Value, label: measure} + - {column: L, row: 4485, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4488 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4488, expected_value: E12000002, label: geography} + - {column: D, row: 4488, expected_value: Females, label: sex} + - {column: E, row: 4488, expected_value: Self-employed, label: employment type} + - {column: J, row: 4488, expected_value: Value, label: measure} + - {column: L, row: 4489, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4492 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4492, expected_value: E12000002, label: geography} + - {column: D, row: 4492, expected_value: Females, label: sex} + - {column: E, row: 4492, expected_value: Self-employed, label: employment type} + - {column: J, row: 4492, expected_value: Value, label: measure} + - {column: L, row: 4493, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4494 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4494, expected_value: E12000002, label: geography} + - {column: D, row: 4494, expected_value: Females, label: sex} + - {column: E, row: 4494, expected_value: Self-employed, label: employment type} + - {column: J, row: 4494, expected_value: Value, label: measure} + - {column: L, row: 4495, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4496 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4496, expected_value: E12000002, label: geography} + - {column: D, row: 4496, expected_value: Females, label: sex} + - {column: E, row: 4496, expected_value: Self-employed, label: employment type} + - {column: J, row: 4496, expected_value: Value, label: measure} + - {column: L, row: 4497, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4498 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4498, expected_value: E12000002, label: geography} + - {column: D, row: 4498, expected_value: Females, label: sex} + - {column: E, row: 4498, expected_value: Self-employed, label: employment type} + - {column: J, row: 4498, expected_value: Value, label: measure} + - {column: L, row: 4499, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4500 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4500, expected_value: E12000002, label: geography} + - {column: D, row: 4500, expected_value: Females, label: sex} + - {column: E, row: 4500, expected_value: Self-employed, label: employment type} + - {column: J, row: 4500, expected_value: Value, label: measure} + - {column: L, row: 4501, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4502 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4502, expected_value: E12000002, label: geography} + - {column: D, row: 4502, expected_value: Females, label: sex} + - {column: E, row: 4502, expected_value: Self-employed, label: employment type} + - {column: J, row: 4502, expected_value: Value, label: measure} + - {column: L, row: 4503, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4504 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4504, expected_value: E12000002, label: geography} + - {column: D, row: 4504, expected_value: Females, label: sex} + - {column: E, row: 4504, expected_value: Self-employed, label: employment type} + - {column: J, row: 4504, expected_value: Value, label: measure} + - {column: L, row: 4505, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4506 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4506, expected_value: E12000002, label: geography} + - {column: D, row: 4506, expected_value: Females, label: sex} + - {column: E, row: 4506, expected_value: Self-employed, label: employment type} + - {column: J, row: 4506, expected_value: Value, label: measure} + - {column: L, row: 4507, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4508 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4508, expected_value: E12000002, label: geography} + - {column: D, row: 4508, expected_value: Females, label: sex} + - {column: E, row: 4508, expected_value: Self-employed, label: employment type} + - {column: J, row: 4508, expected_value: Value, label: measure} + - {column: L, row: 4509, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4510 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4510, expected_value: E12000002, label: geography} + - {column: D, row: 4510, expected_value: Females, label: sex} + - {column: E, row: 4510, expected_value: Self-employed, label: employment type} + - {column: J, row: 4510, expected_value: Value, label: measure} + - {column: L, row: 4511, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4512 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4512, expected_value: E12000002, label: geography} + - {column: D, row: 4512, expected_value: Females, label: sex} + - {column: E, row: 4512, expected_value: Self-employed, label: employment type} + - {column: J, row: 4512, expected_value: Value, label: measure} + - {column: L, row: 4513, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4514 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4514, expected_value: E12000002, label: geography} + - {column: D, row: 4514, expected_value: Females, label: sex} + - {column: E, row: 4514, expected_value: Self-employed, label: employment type} + - {column: J, row: 4514, expected_value: Value, label: measure} + - {column: L, row: 4515, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4516 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4516, expected_value: E12000002, label: geography} + - {column: D, row: 4516, expected_value: Females, label: sex} + - {column: E, row: 4516, expected_value: Self-employed, label: employment type} + - {column: J, row: 4516, expected_value: Value, label: measure} + - {column: L, row: 4517, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4520 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4520, expected_value: E12000002, label: geography} + - {column: D, row: 4520, expected_value: Females, label: sex} + - {column: E, row: 4520, expected_value: Self-employed, label: employment type} + - {column: J, row: 4520, expected_value: Value, label: measure} + - {column: L, row: 4521, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4522 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4522, expected_value: E12000002, label: geography} + - {column: D, row: 4522, expected_value: Females, label: sex} + - {column: E, row: 4522, expected_value: Self-employed, label: employment type} + - {column: J, row: 4522, expected_value: Value, label: measure} + - {column: L, row: 4523, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4526 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4526, expected_value: E12000002, label: geography} + - {column: D, row: 4526, expected_value: Females, label: sex} + - {column: E, row: 4526, expected_value: Self-employed, label: employment type} + - {column: J, row: 4526, expected_value: Value, label: measure} + - {column: L, row: 4527, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4528 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4528, expected_value: E12000002, label: geography} + - {column: D, row: 4528, expected_value: Females, label: sex} + - {column: E, row: 4528, expected_value: Self-employed, label: employment type} + - {column: J, row: 4528, expected_value: Value, label: measure} + - {column: L, row: 4529, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4530 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4530, expected_value: E12000002, label: geography} + - {column: D, row: 4530, expected_value: Females, label: sex} + - {column: E, row: 4530, expected_value: Self-employed, label: employment type} + - {column: J, row: 4530, expected_value: Value, label: measure} + - {column: L, row: 4531, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4532 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4532, expected_value: E12000002, label: geography} + - {column: D, row: 4532, expected_value: Females, label: sex} + - {column: E, row: 4532, expected_value: Self-employed, label: employment type} + - {column: J, row: 4532, expected_value: Value, label: measure} + - {column: L, row: 4533, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4536 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4536, expected_value: E12000002, label: geography} + - {column: D, row: 4536, expected_value: Females, label: sex} + - {column: E, row: 4536, expected_value: Self-employed, label: employment type} + - {column: J, row: 4536, expected_value: Value, label: measure} + - {column: L, row: 4537, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4467 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4467, expected_value: E12000002, label: geography} + - {column: D, row: 4467, expected_value: Females, label: sex} + - {column: E, row: 4467, expected_value: Self-employed, label: employment type} + - {column: J, row: 4467, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4469 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4469, expected_value: E12000002, label: geography} + - {column: D, row: 4469, expected_value: Females, label: sex} + - {column: E, row: 4469, expected_value: Self-employed, label: employment type} + - {column: J, row: 4469, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4471 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4471, expected_value: E12000002, label: geography} + - {column: D, row: 4471, expected_value: Females, label: sex} + - {column: E, row: 4471, expected_value: Self-employed, label: employment type} + - {column: J, row: 4471, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4473 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4473, expected_value: E12000002, label: geography} + - {column: D, row: 4473, expected_value: Females, label: sex} + - {column: E, row: 4473, expected_value: Self-employed, label: employment type} + - {column: J, row: 4473, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4475 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4475, expected_value: E12000002, label: geography} + - {column: D, row: 4475, expected_value: Females, label: sex} + - {column: E, row: 4475, expected_value: Self-employed, label: employment type} + - {column: J, row: 4475, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4479 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4479, expected_value: E12000002, label: geography} + - {column: D, row: 4479, expected_value: Females, label: sex} + - {column: E, row: 4479, expected_value: Self-employed, label: employment type} + - {column: J, row: 4479, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4481 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4481, expected_value: E12000002, label: geography} + - {column: D, row: 4481, expected_value: Females, label: sex} + - {column: E, row: 4481, expected_value: Self-employed, label: employment type} + - {column: J, row: 4481, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4483 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4483, expected_value: E12000002, label: geography} + - {column: D, row: 4483, expected_value: Females, label: sex} + - {column: E, row: 4483, expected_value: Self-employed, label: employment type} + - {column: J, row: 4483, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4485 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4485, expected_value: E12000002, label: geography} + - {column: D, row: 4485, expected_value: Females, label: sex} + - {column: E, row: 4485, expected_value: Self-employed, label: employment type} + - {column: J, row: 4485, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4489 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4489, expected_value: E12000002, label: geography} + - {column: D, row: 4489, expected_value: Females, label: sex} + - {column: E, row: 4489, expected_value: Self-employed, label: employment type} + - {column: J, row: 4489, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4493 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4493, expected_value: E12000002, label: geography} + - {column: D, row: 4493, expected_value: Females, label: sex} + - {column: E, row: 4493, expected_value: Self-employed, label: employment type} + - {column: J, row: 4493, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4495 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4495, expected_value: E12000002, label: geography} + - {column: D, row: 4495, expected_value: Females, label: sex} + - {column: E, row: 4495, expected_value: Self-employed, label: employment type} + - {column: J, row: 4495, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4497 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4497, expected_value: E12000002, label: geography} + - {column: D, row: 4497, expected_value: Females, label: sex} + - {column: E, row: 4497, expected_value: Self-employed, label: employment type} + - {column: J, row: 4497, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4499 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4499, expected_value: E12000002, label: geography} + - {column: D, row: 4499, expected_value: Females, label: sex} + - {column: E, row: 4499, expected_value: Self-employed, label: employment type} + - {column: J, row: 4499, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4503 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4503, expected_value: E12000002, label: geography} + - {column: D, row: 4503, expected_value: Females, label: sex} + - {column: E, row: 4503, expected_value: Self-employed, label: employment type} + - {column: J, row: 4503, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4513 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4513, expected_value: E12000002, label: geography} + - {column: D, row: 4513, expected_value: Females, label: sex} + - {column: E, row: 4513, expected_value: Self-employed, label: employment type} + - {column: J, row: 4513, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4515 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4515, expected_value: E12000002, label: geography} + - {column: D, row: 4515, expected_value: Females, label: sex} + - {column: E, row: 4515, expected_value: Self-employed, label: employment type} + - {column: J, row: 4515, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4517 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4517, expected_value: E12000002, label: geography} + - {column: D, row: 4517, expected_value: Females, label: sex} + - {column: E, row: 4517, expected_value: Self-employed, label: employment type} + - {column: J, row: 4517, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4521 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4521, expected_value: E12000002, label: geography} + - {column: D, row: 4521, expected_value: Females, label: sex} + - {column: E, row: 4521, expected_value: Self-employed, label: employment type} + - {column: J, row: 4521, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4523 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4523, expected_value: E12000002, label: geography} + - {column: D, row: 4523, expected_value: Females, label: sex} + - {column: E, row: 4523, expected_value: Self-employed, label: employment type} + - {column: J, row: 4523, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4527 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4527, expected_value: E12000002, label: geography} + - {column: D, row: 4527, expected_value: Females, label: sex} + - {column: E, row: 4527, expected_value: Self-employed, label: employment type} + - {column: J, row: 4527, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4533 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4533, expected_value: E12000002, label: geography} + - {column: D, row: 4533, expected_value: Females, label: sex} + - {column: E, row: 4533, expected_value: Self-employed, label: employment type} + - {column: J, row: 4533, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4537 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4537, expected_value: E12000002, label: geography} + - {column: D, row: 4537, expected_value: Females, label: sex} + - {column: E, row: 4537, expected_value: Self-employed, label: employment type} + - {column: J, row: 4537, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4538 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4538, expected_value: E12000003, label: geography} + - {column: D, row: 4538, expected_value: All persons, label: sex} + - {column: E, row: 4538, expected_value: Total, label: employment type} + - {column: J, row: 4538, expected_value: Value, label: measure} + - {column: L, row: 4539, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4540 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4540, expected_value: E12000003, label: geography} + - {column: D, row: 4540, expected_value: All persons, label: sex} + - {column: E, row: 4540, expected_value: Total, label: employment type} + - {column: J, row: 4540, expected_value: Value, label: measure} + - {column: L, row: 4541, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4542 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4542, expected_value: E12000003, label: geography} + - {column: D, row: 4542, expected_value: All persons, label: sex} + - {column: E, row: 4542, expected_value: Total, label: employment type} + - {column: J, row: 4542, expected_value: Value, label: measure} + - {column: L, row: 4543, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4544 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4544, expected_value: E12000003, label: geography} + - {column: D, row: 4544, expected_value: All persons, label: sex} + - {column: E, row: 4544, expected_value: Total, label: employment type} + - {column: J, row: 4544, expected_value: Value, label: measure} + - {column: L, row: 4545, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4546 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4546, expected_value: E12000003, label: geography} + - {column: D, row: 4546, expected_value: All persons, label: sex} + - {column: E, row: 4546, expected_value: Total, label: employment type} + - {column: J, row: 4546, expected_value: Value, label: measure} + - {column: L, row: 4547, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4548 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4548, expected_value: E12000003, label: geography} + - {column: D, row: 4548, expected_value: All persons, label: sex} + - {column: E, row: 4548, expected_value: Total, label: employment type} + - {column: J, row: 4548, expected_value: Value, label: measure} + - {column: L, row: 4549, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4550 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4550, expected_value: E12000003, label: geography} + - {column: D, row: 4550, expected_value: All persons, label: sex} + - {column: E, row: 4550, expected_value: Total, label: employment type} + - {column: J, row: 4550, expected_value: Value, label: measure} + - {column: L, row: 4551, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4552 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4552, expected_value: E12000003, label: geography} + - {column: D, row: 4552, expected_value: All persons, label: sex} + - {column: E, row: 4552, expected_value: Total, label: employment type} + - {column: J, row: 4552, expected_value: Value, label: measure} + - {column: L, row: 4553, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4554 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4554, expected_value: E12000003, label: geography} + - {column: D, row: 4554, expected_value: All persons, label: sex} + - {column: E, row: 4554, expected_value: Total, label: employment type} + - {column: J, row: 4554, expected_value: Value, label: measure} + - {column: L, row: 4555, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4556 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4556, expected_value: E12000003, label: geography} + - {column: D, row: 4556, expected_value: All persons, label: sex} + - {column: E, row: 4556, expected_value: Total, label: employment type} + - {column: J, row: 4556, expected_value: Value, label: measure} + - {column: L, row: 4557, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4558 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4558, expected_value: E12000003, label: geography} + - {column: D, row: 4558, expected_value: All persons, label: sex} + - {column: E, row: 4558, expected_value: Total, label: employment type} + - {column: J, row: 4558, expected_value: Value, label: measure} + - {column: L, row: 4559, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4560 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4560, expected_value: E12000003, label: geography} + - {column: D, row: 4560, expected_value: All persons, label: sex} + - {column: E, row: 4560, expected_value: Total, label: employment type} + - {column: J, row: 4560, expected_value: Value, label: measure} + - {column: L, row: 4561, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4562 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4562, expected_value: E12000003, label: geography} + - {column: D, row: 4562, expected_value: All persons, label: sex} + - {column: E, row: 4562, expected_value: Total, label: employment type} + - {column: J, row: 4562, expected_value: Value, label: measure} + - {column: L, row: 4563, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4564 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4564, expected_value: E12000003, label: geography} + - {column: D, row: 4564, expected_value: All persons, label: sex} + - {column: E, row: 4564, expected_value: Total, label: employment type} + - {column: J, row: 4564, expected_value: Value, label: measure} + - {column: L, row: 4565, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4566 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4566, expected_value: E12000003, label: geography} + - {column: D, row: 4566, expected_value: All persons, label: sex} + - {column: E, row: 4566, expected_value: Total, label: employment type} + - {column: J, row: 4566, expected_value: Value, label: measure} + - {column: L, row: 4567, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4568 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4568, expected_value: E12000003, label: geography} + - {column: D, row: 4568, expected_value: All persons, label: sex} + - {column: E, row: 4568, expected_value: Total, label: employment type} + - {column: J, row: 4568, expected_value: Value, label: measure} + - {column: L, row: 4569, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4570 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4570, expected_value: E12000003, label: geography} + - {column: D, row: 4570, expected_value: All persons, label: sex} + - {column: E, row: 4570, expected_value: Total, label: employment type} + - {column: J, row: 4570, expected_value: Value, label: measure} + - {column: L, row: 4571, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4572 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4572, expected_value: E12000003, label: geography} + - {column: D, row: 4572, expected_value: All persons, label: sex} + - {column: E, row: 4572, expected_value: Total, label: employment type} + - {column: J, row: 4572, expected_value: Value, label: measure} + - {column: L, row: 4573, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4574 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4574, expected_value: E12000003, label: geography} + - {column: D, row: 4574, expected_value: All persons, label: sex} + - {column: E, row: 4574, expected_value: Total, label: employment type} + - {column: J, row: 4574, expected_value: Value, label: measure} + - {column: L, row: 4575, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4576 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4576, expected_value: E12000003, label: geography} + - {column: D, row: 4576, expected_value: All persons, label: sex} + - {column: E, row: 4576, expected_value: Total, label: employment type} + - {column: J, row: 4576, expected_value: Value, label: measure} + - {column: L, row: 4577, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4578 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4578, expected_value: E12000003, label: geography} + - {column: D, row: 4578, expected_value: All persons, label: sex} + - {column: E, row: 4578, expected_value: Total, label: employment type} + - {column: J, row: 4578, expected_value: Value, label: measure} + - {column: L, row: 4579, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4580 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4580, expected_value: E12000003, label: geography} + - {column: D, row: 4580, expected_value: All persons, label: sex} + - {column: E, row: 4580, expected_value: Total, label: employment type} + - {column: J, row: 4580, expected_value: Value, label: measure} + - {column: L, row: 4581, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4582 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4582, expected_value: E12000003, label: geography} + - {column: D, row: 4582, expected_value: All persons, label: sex} + - {column: E, row: 4582, expected_value: Total, label: employment type} + - {column: J, row: 4582, expected_value: Value, label: measure} + - {column: L, row: 4583, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4584 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4584, expected_value: E12000003, label: geography} + - {column: D, row: 4584, expected_value: All persons, label: sex} + - {column: E, row: 4584, expected_value: Total, label: employment type} + - {column: J, row: 4584, expected_value: Value, label: measure} + - {column: L, row: 4585, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4586 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4586, expected_value: E12000003, label: geography} + - {column: D, row: 4586, expected_value: All persons, label: sex} + - {column: E, row: 4586, expected_value: Total, label: employment type} + - {column: J, row: 4586, expected_value: Value, label: measure} + - {column: L, row: 4587, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4588 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4588, expected_value: E12000003, label: geography} + - {column: D, row: 4588, expected_value: All persons, label: sex} + - {column: E, row: 4588, expected_value: Total, label: employment type} + - {column: J, row: 4588, expected_value: Value, label: measure} + - {column: L, row: 4589, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4590 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4590, expected_value: E12000003, label: geography} + - {column: D, row: 4590, expected_value: All persons, label: sex} + - {column: E, row: 4590, expected_value: Total, label: employment type} + - {column: J, row: 4590, expected_value: Value, label: measure} + - {column: L, row: 4591, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4592 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4592, expected_value: E12000003, label: geography} + - {column: D, row: 4592, expected_value: All persons, label: sex} + - {column: E, row: 4592, expected_value: Total, label: employment type} + - {column: J, row: 4592, expected_value: Value, label: measure} + - {column: L, row: 4593, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4594 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4594, expected_value: E12000003, label: geography} + - {column: D, row: 4594, expected_value: All persons, label: sex} + - {column: E, row: 4594, expected_value: Total, label: employment type} + - {column: J, row: 4594, expected_value: Value, label: measure} + - {column: L, row: 4595, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4596 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4596, expected_value: E12000003, label: geography} + - {column: D, row: 4596, expected_value: All persons, label: sex} + - {column: E, row: 4596, expected_value: Total, label: employment type} + - {column: J, row: 4596, expected_value: Value, label: measure} + - {column: L, row: 4597, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4598 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4598, expected_value: E12000003, label: geography} + - {column: D, row: 4598, expected_value: All persons, label: sex} + - {column: E, row: 4598, expected_value: Total, label: employment type} + - {column: J, row: 4598, expected_value: Value, label: measure} + - {column: L, row: 4599, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4600 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4600, expected_value: E12000003, label: geography} + - {column: D, row: 4600, expected_value: All persons, label: sex} + - {column: E, row: 4600, expected_value: Total, label: employment type} + - {column: J, row: 4600, expected_value: Value, label: measure} + - {column: L, row: 4601, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4602 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4602, expected_value: E12000003, label: geography} + - {column: D, row: 4602, expected_value: All persons, label: sex} + - {column: E, row: 4602, expected_value: Total, label: employment type} + - {column: J, row: 4602, expected_value: Value, label: measure} + - {column: L, row: 4603, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4604 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4604, expected_value: E12000003, label: geography} + - {column: D, row: 4604, expected_value: All persons, label: sex} + - {column: E, row: 4604, expected_value: Total, label: employment type} + - {column: J, row: 4604, expected_value: Value, label: measure} + - {column: L, row: 4605, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4606 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4606, expected_value: E12000003, label: geography} + - {column: D, row: 4606, expected_value: All persons, label: sex} + - {column: E, row: 4606, expected_value: Total, label: employment type} + - {column: J, row: 4606, expected_value: Value, label: measure} + - {column: L, row: 4607, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4608 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4608, expected_value: E12000003, label: geography} + - {column: D, row: 4608, expected_value: All persons, label: sex} + - {column: E, row: 4608, expected_value: Total, label: employment type} + - {column: J, row: 4608, expected_value: Value, label: measure} + - {column: L, row: 4609, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4539 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4539, expected_value: E12000003, label: geography} + - {column: D, row: 4539, expected_value: All persons, label: sex} + - {column: E, row: 4539, expected_value: Total, label: employment type} + - {column: J, row: 4539, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4541 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4541, expected_value: E12000003, label: geography} + - {column: D, row: 4541, expected_value: All persons, label: sex} + - {column: E, row: 4541, expected_value: Total, label: employment type} + - {column: J, row: 4541, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4543 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4543, expected_value: E12000003, label: geography} + - {column: D, row: 4543, expected_value: All persons, label: sex} + - {column: E, row: 4543, expected_value: Total, label: employment type} + - {column: J, row: 4543, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4545 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4545, expected_value: E12000003, label: geography} + - {column: D, row: 4545, expected_value: All persons, label: sex} + - {column: E, row: 4545, expected_value: Total, label: employment type} + - {column: J, row: 4545, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4547 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4547, expected_value: E12000003, label: geography} + - {column: D, row: 4547, expected_value: All persons, label: sex} + - {column: E, row: 4547, expected_value: Total, label: employment type} + - {column: J, row: 4547, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4549 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4549, expected_value: E12000003, label: geography} + - {column: D, row: 4549, expected_value: All persons, label: sex} + - {column: E, row: 4549, expected_value: Total, label: employment type} + - {column: J, row: 4549, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4551 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4551, expected_value: E12000003, label: geography} + - {column: D, row: 4551, expected_value: All persons, label: sex} + - {column: E, row: 4551, expected_value: Total, label: employment type} + - {column: J, row: 4551, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4553 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4553, expected_value: E12000003, label: geography} + - {column: D, row: 4553, expected_value: All persons, label: sex} + - {column: E, row: 4553, expected_value: Total, label: employment type} + - {column: J, row: 4553, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4555 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4555, expected_value: E12000003, label: geography} + - {column: D, row: 4555, expected_value: All persons, label: sex} + - {column: E, row: 4555, expected_value: Total, label: employment type} + - {column: J, row: 4555, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4557 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4557, expected_value: E12000003, label: geography} + - {column: D, row: 4557, expected_value: All persons, label: sex} + - {column: E, row: 4557, expected_value: Total, label: employment type} + - {column: J, row: 4557, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4559 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4559, expected_value: E12000003, label: geography} + - {column: D, row: 4559, expected_value: All persons, label: sex} + - {column: E, row: 4559, expected_value: Total, label: employment type} + - {column: J, row: 4559, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4561 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4561, expected_value: E12000003, label: geography} + - {column: D, row: 4561, expected_value: All persons, label: sex} + - {column: E, row: 4561, expected_value: Total, label: employment type} + - {column: J, row: 4561, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4563 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4563, expected_value: E12000003, label: geography} + - {column: D, row: 4563, expected_value: All persons, label: sex} + - {column: E, row: 4563, expected_value: Total, label: employment type} + - {column: J, row: 4563, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4565 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4565, expected_value: E12000003, label: geography} + - {column: D, row: 4565, expected_value: All persons, label: sex} + - {column: E, row: 4565, expected_value: Total, label: employment type} + - {column: J, row: 4565, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4567 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4567, expected_value: E12000003, label: geography} + - {column: D, row: 4567, expected_value: All persons, label: sex} + - {column: E, row: 4567, expected_value: Total, label: employment type} + - {column: J, row: 4567, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4569 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4569, expected_value: E12000003, label: geography} + - {column: D, row: 4569, expected_value: All persons, label: sex} + - {column: E, row: 4569, expected_value: Total, label: employment type} + - {column: J, row: 4569, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4571 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4571, expected_value: E12000003, label: geography} + - {column: D, row: 4571, expected_value: All persons, label: sex} + - {column: E, row: 4571, expected_value: Total, label: employment type} + - {column: J, row: 4571, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4573 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4573, expected_value: E12000003, label: geography} + - {column: D, row: 4573, expected_value: All persons, label: sex} + - {column: E, row: 4573, expected_value: Total, label: employment type} + - {column: J, row: 4573, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4575 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4575, expected_value: E12000003, label: geography} + - {column: D, row: 4575, expected_value: All persons, label: sex} + - {column: E, row: 4575, expected_value: Total, label: employment type} + - {column: J, row: 4575, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4577 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4577, expected_value: E12000003, label: geography} + - {column: D, row: 4577, expected_value: All persons, label: sex} + - {column: E, row: 4577, expected_value: Total, label: employment type} + - {column: J, row: 4577, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4579 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4579, expected_value: E12000003, label: geography} + - {column: D, row: 4579, expected_value: All persons, label: sex} + - {column: E, row: 4579, expected_value: Total, label: employment type} + - {column: J, row: 4579, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4581 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4581, expected_value: E12000003, label: geography} + - {column: D, row: 4581, expected_value: All persons, label: sex} + - {column: E, row: 4581, expected_value: Total, label: employment type} + - {column: J, row: 4581, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4583 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4583, expected_value: E12000003, label: geography} + - {column: D, row: 4583, expected_value: All persons, label: sex} + - {column: E, row: 4583, expected_value: Total, label: employment type} + - {column: J, row: 4583, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4585 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4585, expected_value: E12000003, label: geography} + - {column: D, row: 4585, expected_value: All persons, label: sex} + - {column: E, row: 4585, expected_value: Total, label: employment type} + - {column: J, row: 4585, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4587 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4587, expected_value: E12000003, label: geography} + - {column: D, row: 4587, expected_value: All persons, label: sex} + - {column: E, row: 4587, expected_value: Total, label: employment type} + - {column: J, row: 4587, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4589 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4589, expected_value: E12000003, label: geography} + - {column: D, row: 4589, expected_value: All persons, label: sex} + - {column: E, row: 4589, expected_value: Total, label: employment type} + - {column: J, row: 4589, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4593 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4593, expected_value: E12000003, label: geography} + - {column: D, row: 4593, expected_value: All persons, label: sex} + - {column: E, row: 4593, expected_value: Total, label: employment type} + - {column: J, row: 4593, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4595 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4595, expected_value: E12000003, label: geography} + - {column: D, row: 4595, expected_value: All persons, label: sex} + - {column: E, row: 4595, expected_value: Total, label: employment type} + - {column: J, row: 4595, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4597 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4597, expected_value: E12000003, label: geography} + - {column: D, row: 4597, expected_value: All persons, label: sex} + - {column: E, row: 4597, expected_value: Total, label: employment type} + - {column: J, row: 4597, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4599 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4599, expected_value: E12000003, label: geography} + - {column: D, row: 4599, expected_value: All persons, label: sex} + - {column: E, row: 4599, expected_value: Total, label: employment type} + - {column: J, row: 4599, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4601 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4601, expected_value: E12000003, label: geography} + - {column: D, row: 4601, expected_value: All persons, label: sex} + - {column: E, row: 4601, expected_value: Total, label: employment type} + - {column: J, row: 4601, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4603 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4603, expected_value: E12000003, label: geography} + - {column: D, row: 4603, expected_value: All persons, label: sex} + - {column: E, row: 4603, expected_value: Total, label: employment type} + - {column: J, row: 4603, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4605 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4605, expected_value: E12000003, label: geography} + - {column: D, row: 4605, expected_value: All persons, label: sex} + - {column: E, row: 4605, expected_value: Total, label: employment type} + - {column: J, row: 4605, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4607 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4607, expected_value: E12000003, label: geography} + - {column: D, row: 4607, expected_value: All persons, label: sex} + - {column: E, row: 4607, expected_value: Total, label: employment type} + - {column: J, row: 4607, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4609 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4609, expected_value: E12000003, label: geography} + - {column: D, row: 4609, expected_value: All persons, label: sex} + - {column: E, row: 4609, expected_value: Total, label: employment type} + - {column: J, row: 4609, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4754 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4754, expected_value: E12000003, label: geography} + - {column: D, row: 4754, expected_value: All persons, label: sex} + - {column: E, row: 4754, expected_value: Employee, label: employment type} + - {column: J, row: 4754, expected_value: Value, label: measure} + - {column: L, row: 4755, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4756 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4756, expected_value: E12000003, label: geography} + - {column: D, row: 4756, expected_value: All persons, label: sex} + - {column: E, row: 4756, expected_value: Employee, label: employment type} + - {column: J, row: 4756, expected_value: Value, label: measure} + - {column: L, row: 4757, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4758 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4758, expected_value: E12000003, label: geography} + - {column: D, row: 4758, expected_value: All persons, label: sex} + - {column: E, row: 4758, expected_value: Employee, label: employment type} + - {column: J, row: 4758, expected_value: Value, label: measure} + - {column: L, row: 4759, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4760 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4760, expected_value: E12000003, label: geography} + - {column: D, row: 4760, expected_value: All persons, label: sex} + - {column: E, row: 4760, expected_value: Employee, label: employment type} + - {column: J, row: 4760, expected_value: Value, label: measure} + - {column: L, row: 4761, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4762 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4762, expected_value: E12000003, label: geography} + - {column: D, row: 4762, expected_value: All persons, label: sex} + - {column: E, row: 4762, expected_value: Employee, label: employment type} + - {column: J, row: 4762, expected_value: Value, label: measure} + - {column: L, row: 4763, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4764 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4764, expected_value: E12000003, label: geography} + - {column: D, row: 4764, expected_value: All persons, label: sex} + - {column: E, row: 4764, expected_value: Employee, label: employment type} + - {column: J, row: 4764, expected_value: Value, label: measure} + - {column: L, row: 4765, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4766 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4766, expected_value: E12000003, label: geography} + - {column: D, row: 4766, expected_value: All persons, label: sex} + - {column: E, row: 4766, expected_value: Employee, label: employment type} + - {column: J, row: 4766, expected_value: Value, label: measure} + - {column: L, row: 4767, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4768 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4768, expected_value: E12000003, label: geography} + - {column: D, row: 4768, expected_value: All persons, label: sex} + - {column: E, row: 4768, expected_value: Employee, label: employment type} + - {column: J, row: 4768, expected_value: Value, label: measure} + - {column: L, row: 4769, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4770 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4770, expected_value: E12000003, label: geography} + - {column: D, row: 4770, expected_value: All persons, label: sex} + - {column: E, row: 4770, expected_value: Employee, label: employment type} + - {column: J, row: 4770, expected_value: Value, label: measure} + - {column: L, row: 4771, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4772 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4772, expected_value: E12000003, label: geography} + - {column: D, row: 4772, expected_value: All persons, label: sex} + - {column: E, row: 4772, expected_value: Employee, label: employment type} + - {column: J, row: 4772, expected_value: Value, label: measure} + - {column: L, row: 4773, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4774 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4774, expected_value: E12000003, label: geography} + - {column: D, row: 4774, expected_value: All persons, label: sex} + - {column: E, row: 4774, expected_value: Employee, label: employment type} + - {column: J, row: 4774, expected_value: Value, label: measure} + - {column: L, row: 4775, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4776 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4776, expected_value: E12000003, label: geography} + - {column: D, row: 4776, expected_value: All persons, label: sex} + - {column: E, row: 4776, expected_value: Employee, label: employment type} + - {column: J, row: 4776, expected_value: Value, label: measure} + - {column: L, row: 4777, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4778 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4778, expected_value: E12000003, label: geography} + - {column: D, row: 4778, expected_value: All persons, label: sex} + - {column: E, row: 4778, expected_value: Employee, label: employment type} + - {column: J, row: 4778, expected_value: Value, label: measure} + - {column: L, row: 4779, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4780 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4780, expected_value: E12000003, label: geography} + - {column: D, row: 4780, expected_value: All persons, label: sex} + - {column: E, row: 4780, expected_value: Employee, label: employment type} + - {column: J, row: 4780, expected_value: Value, label: measure} + - {column: L, row: 4781, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4782 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4782, expected_value: E12000003, label: geography} + - {column: D, row: 4782, expected_value: All persons, label: sex} + - {column: E, row: 4782, expected_value: Employee, label: employment type} + - {column: J, row: 4782, expected_value: Value, label: measure} + - {column: L, row: 4783, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4784 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4784, expected_value: E12000003, label: geography} + - {column: D, row: 4784, expected_value: All persons, label: sex} + - {column: E, row: 4784, expected_value: Employee, label: employment type} + - {column: J, row: 4784, expected_value: Value, label: measure} + - {column: L, row: 4785, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4786 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4786, expected_value: E12000003, label: geography} + - {column: D, row: 4786, expected_value: All persons, label: sex} + - {column: E, row: 4786, expected_value: Employee, label: employment type} + - {column: J, row: 4786, expected_value: Value, label: measure} + - {column: L, row: 4787, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4788 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4788, expected_value: E12000003, label: geography} + - {column: D, row: 4788, expected_value: All persons, label: sex} + - {column: E, row: 4788, expected_value: Employee, label: employment type} + - {column: J, row: 4788, expected_value: Value, label: measure} + - {column: L, row: 4789, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4790 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4790, expected_value: E12000003, label: geography} + - {column: D, row: 4790, expected_value: All persons, label: sex} + - {column: E, row: 4790, expected_value: Employee, label: employment type} + - {column: J, row: 4790, expected_value: Value, label: measure} + - {column: L, row: 4791, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4792 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4792, expected_value: E12000003, label: geography} + - {column: D, row: 4792, expected_value: All persons, label: sex} + - {column: E, row: 4792, expected_value: Employee, label: employment type} + - {column: J, row: 4792, expected_value: Value, label: measure} + - {column: L, row: 4793, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4794 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4794, expected_value: E12000003, label: geography} + - {column: D, row: 4794, expected_value: All persons, label: sex} + - {column: E, row: 4794, expected_value: Employee, label: employment type} + - {column: J, row: 4794, expected_value: Value, label: measure} + - {column: L, row: 4795, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4796 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4796, expected_value: E12000003, label: geography} + - {column: D, row: 4796, expected_value: All persons, label: sex} + - {column: E, row: 4796, expected_value: Employee, label: employment type} + - {column: J, row: 4796, expected_value: Value, label: measure} + - {column: L, row: 4797, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4798 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4798, expected_value: E12000003, label: geography} + - {column: D, row: 4798, expected_value: All persons, label: sex} + - {column: E, row: 4798, expected_value: Employee, label: employment type} + - {column: J, row: 4798, expected_value: Value, label: measure} + - {column: L, row: 4799, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4800 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4800, expected_value: E12000003, label: geography} + - {column: D, row: 4800, expected_value: All persons, label: sex} + - {column: E, row: 4800, expected_value: Employee, label: employment type} + - {column: J, row: 4800, expected_value: Value, label: measure} + - {column: L, row: 4801, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4802 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4802, expected_value: E12000003, label: geography} + - {column: D, row: 4802, expected_value: All persons, label: sex} + - {column: E, row: 4802, expected_value: Employee, label: employment type} + - {column: J, row: 4802, expected_value: Value, label: measure} + - {column: L, row: 4803, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4804 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4804, expected_value: E12000003, label: geography} + - {column: D, row: 4804, expected_value: All persons, label: sex} + - {column: E, row: 4804, expected_value: Employee, label: employment type} + - {column: J, row: 4804, expected_value: Value, label: measure} + - {column: L, row: 4805, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4806 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4806, expected_value: E12000003, label: geography} + - {column: D, row: 4806, expected_value: All persons, label: sex} + - {column: E, row: 4806, expected_value: Employee, label: employment type} + - {column: J, row: 4806, expected_value: Value, label: measure} + - {column: L, row: 4807, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4808 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4808, expected_value: E12000003, label: geography} + - {column: D, row: 4808, expected_value: All persons, label: sex} + - {column: E, row: 4808, expected_value: Employee, label: employment type} + - {column: J, row: 4808, expected_value: Value, label: measure} + - {column: L, row: 4809, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4810 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4810, expected_value: E12000003, label: geography} + - {column: D, row: 4810, expected_value: All persons, label: sex} + - {column: E, row: 4810, expected_value: Employee, label: employment type} + - {column: J, row: 4810, expected_value: Value, label: measure} + - {column: L, row: 4811, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4812 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4812, expected_value: E12000003, label: geography} + - {column: D, row: 4812, expected_value: All persons, label: sex} + - {column: E, row: 4812, expected_value: Employee, label: employment type} + - {column: J, row: 4812, expected_value: Value, label: measure} + - {column: L, row: 4813, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4814 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4814, expected_value: E12000003, label: geography} + - {column: D, row: 4814, expected_value: All persons, label: sex} + - {column: E, row: 4814, expected_value: Employee, label: employment type} + - {column: J, row: 4814, expected_value: Value, label: measure} + - {column: L, row: 4815, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4816 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4816, expected_value: E12000003, label: geography} + - {column: D, row: 4816, expected_value: All persons, label: sex} + - {column: E, row: 4816, expected_value: Employee, label: employment type} + - {column: J, row: 4816, expected_value: Value, label: measure} + - {column: L, row: 4817, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4818 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4818, expected_value: E12000003, label: geography} + - {column: D, row: 4818, expected_value: All persons, label: sex} + - {column: E, row: 4818, expected_value: Employee, label: employment type} + - {column: J, row: 4818, expected_value: Value, label: measure} + - {column: L, row: 4819, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4820 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4820, expected_value: E12000003, label: geography} + - {column: D, row: 4820, expected_value: All persons, label: sex} + - {column: E, row: 4820, expected_value: Employee, label: employment type} + - {column: J, row: 4820, expected_value: Value, label: measure} + - {column: L, row: 4821, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4822 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4822, expected_value: E12000003, label: geography} + - {column: D, row: 4822, expected_value: All persons, label: sex} + - {column: E, row: 4822, expected_value: Employee, label: employment type} + - {column: J, row: 4822, expected_value: Value, label: measure} + - {column: L, row: 4823, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4824 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4824, expected_value: E12000003, label: geography} + - {column: D, row: 4824, expected_value: All persons, label: sex} + - {column: E, row: 4824, expected_value: Employee, label: employment type} + - {column: J, row: 4824, expected_value: Value, label: measure} + - {column: L, row: 4825, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4755 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4755, expected_value: E12000003, label: geography} + - {column: D, row: 4755, expected_value: All persons, label: sex} + - {column: E, row: 4755, expected_value: Employee, label: employment type} + - {column: J, row: 4755, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4757 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4757, expected_value: E12000003, label: geography} + - {column: D, row: 4757, expected_value: All persons, label: sex} + - {column: E, row: 4757, expected_value: Employee, label: employment type} + - {column: J, row: 4757, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4759 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4759, expected_value: E12000003, label: geography} + - {column: D, row: 4759, expected_value: All persons, label: sex} + - {column: E, row: 4759, expected_value: Employee, label: employment type} + - {column: J, row: 4759, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4761 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4761, expected_value: E12000003, label: geography} + - {column: D, row: 4761, expected_value: All persons, label: sex} + - {column: E, row: 4761, expected_value: Employee, label: employment type} + - {column: J, row: 4761, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4763 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4763, expected_value: E12000003, label: geography} + - {column: D, row: 4763, expected_value: All persons, label: sex} + - {column: E, row: 4763, expected_value: Employee, label: employment type} + - {column: J, row: 4763, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4765 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4765, expected_value: E12000003, label: geography} + - {column: D, row: 4765, expected_value: All persons, label: sex} + - {column: E, row: 4765, expected_value: Employee, label: employment type} + - {column: J, row: 4765, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4767 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4767, expected_value: E12000003, label: geography} + - {column: D, row: 4767, expected_value: All persons, label: sex} + - {column: E, row: 4767, expected_value: Employee, label: employment type} + - {column: J, row: 4767, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4769 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4769, expected_value: E12000003, label: geography} + - {column: D, row: 4769, expected_value: All persons, label: sex} + - {column: E, row: 4769, expected_value: Employee, label: employment type} + - {column: J, row: 4769, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4771 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4771, expected_value: E12000003, label: geography} + - {column: D, row: 4771, expected_value: All persons, label: sex} + - {column: E, row: 4771, expected_value: Employee, label: employment type} + - {column: J, row: 4771, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4773 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4773, expected_value: E12000003, label: geography} + - {column: D, row: 4773, expected_value: All persons, label: sex} + - {column: E, row: 4773, expected_value: Employee, label: employment type} + - {column: J, row: 4773, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4775 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4775, expected_value: E12000003, label: geography} + - {column: D, row: 4775, expected_value: All persons, label: sex} + - {column: E, row: 4775, expected_value: Employee, label: employment type} + - {column: J, row: 4775, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4777 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4777, expected_value: E12000003, label: geography} + - {column: D, row: 4777, expected_value: All persons, label: sex} + - {column: E, row: 4777, expected_value: Employee, label: employment type} + - {column: J, row: 4777, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4779 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4779, expected_value: E12000003, label: geography} + - {column: D, row: 4779, expected_value: All persons, label: sex} + - {column: E, row: 4779, expected_value: Employee, label: employment type} + - {column: J, row: 4779, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4781 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4781, expected_value: E12000003, label: geography} + - {column: D, row: 4781, expected_value: All persons, label: sex} + - {column: E, row: 4781, expected_value: Employee, label: employment type} + - {column: J, row: 4781, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4783 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4783, expected_value: E12000003, label: geography} + - {column: D, row: 4783, expected_value: All persons, label: sex} + - {column: E, row: 4783, expected_value: Employee, label: employment type} + - {column: J, row: 4783, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4785 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4785, expected_value: E12000003, label: geography} + - {column: D, row: 4785, expected_value: All persons, label: sex} + - {column: E, row: 4785, expected_value: Employee, label: employment type} + - {column: J, row: 4785, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4787 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4787, expected_value: E12000003, label: geography} + - {column: D, row: 4787, expected_value: All persons, label: sex} + - {column: E, row: 4787, expected_value: Employee, label: employment type} + - {column: J, row: 4787, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4789 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4789, expected_value: E12000003, label: geography} + - {column: D, row: 4789, expected_value: All persons, label: sex} + - {column: E, row: 4789, expected_value: Employee, label: employment type} + - {column: J, row: 4789, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4791 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4791, expected_value: E12000003, label: geography} + - {column: D, row: 4791, expected_value: All persons, label: sex} + - {column: E, row: 4791, expected_value: Employee, label: employment type} + - {column: J, row: 4791, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4793 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4793, expected_value: E12000003, label: geography} + - {column: D, row: 4793, expected_value: All persons, label: sex} + - {column: E, row: 4793, expected_value: Employee, label: employment type} + - {column: J, row: 4793, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4795 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4795, expected_value: E12000003, label: geography} + - {column: D, row: 4795, expected_value: All persons, label: sex} + - {column: E, row: 4795, expected_value: Employee, label: employment type} + - {column: J, row: 4795, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4797 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4797, expected_value: E12000003, label: geography} + - {column: D, row: 4797, expected_value: All persons, label: sex} + - {column: E, row: 4797, expected_value: Employee, label: employment type} + - {column: J, row: 4797, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4799 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4799, expected_value: E12000003, label: geography} + - {column: D, row: 4799, expected_value: All persons, label: sex} + - {column: E, row: 4799, expected_value: Employee, label: employment type} + - {column: J, row: 4799, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4801 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4801, expected_value: E12000003, label: geography} + - {column: D, row: 4801, expected_value: All persons, label: sex} + - {column: E, row: 4801, expected_value: Employee, label: employment type} + - {column: J, row: 4801, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4803 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4803, expected_value: E12000003, label: geography} + - {column: D, row: 4803, expected_value: All persons, label: sex} + - {column: E, row: 4803, expected_value: Employee, label: employment type} + - {column: J, row: 4803, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4805 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4805, expected_value: E12000003, label: geography} + - {column: D, row: 4805, expected_value: All persons, label: sex} + - {column: E, row: 4805, expected_value: Employee, label: employment type} + - {column: J, row: 4805, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4809 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4809, expected_value: E12000003, label: geography} + - {column: D, row: 4809, expected_value: All persons, label: sex} + - {column: E, row: 4809, expected_value: Employee, label: employment type} + - {column: J, row: 4809, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4811 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4811, expected_value: E12000003, label: geography} + - {column: D, row: 4811, expected_value: All persons, label: sex} + - {column: E, row: 4811, expected_value: Employee, label: employment type} + - {column: J, row: 4811, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4813 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4813, expected_value: E12000003, label: geography} + - {column: D, row: 4813, expected_value: All persons, label: sex} + - {column: E, row: 4813, expected_value: Employee, label: employment type} + - {column: J, row: 4813, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4815 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4815, expected_value: E12000003, label: geography} + - {column: D, row: 4815, expected_value: All persons, label: sex} + - {column: E, row: 4815, expected_value: Employee, label: employment type} + - {column: J, row: 4815, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4817 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4817, expected_value: E12000003, label: geography} + - {column: D, row: 4817, expected_value: All persons, label: sex} + - {column: E, row: 4817, expected_value: Employee, label: employment type} + - {column: J, row: 4817, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4819 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4819, expected_value: E12000003, label: geography} + - {column: D, row: 4819, expected_value: All persons, label: sex} + - {column: E, row: 4819, expected_value: Employee, label: employment type} + - {column: J, row: 4819, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4821 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4821, expected_value: E12000003, label: geography} + - {column: D, row: 4821, expected_value: All persons, label: sex} + - {column: E, row: 4821, expected_value: Employee, label: employment type} + - {column: J, row: 4821, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4823 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4823, expected_value: E12000003, label: geography} + - {column: D, row: 4823, expected_value: All persons, label: sex} + - {column: E, row: 4823, expected_value: Employee, label: employment type} + - {column: J, row: 4823, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4825 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4825, expected_value: E12000003, label: geography} + - {column: D, row: 4825, expected_value: All persons, label: sex} + - {column: E, row: 4825, expected_value: Employee, label: employment type} + - {column: J, row: 4825, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4970 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4970, expected_value: E12000003, label: geography} + - {column: D, row: 4970, expected_value: All persons, label: sex} + - {column: E, row: 4970, expected_value: Self-employed, label: employment type} + - {column: J, row: 4970, expected_value: Value, label: measure} + - {column: L, row: 4971, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4972 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4972, expected_value: E12000003, label: geography} + - {column: D, row: 4972, expected_value: All persons, label: sex} + - {column: E, row: 4972, expected_value: Self-employed, label: employment type} + - {column: J, row: 4972, expected_value: Value, label: measure} + - {column: L, row: 4973, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4974 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4974, expected_value: E12000003, label: geography} + - {column: D, row: 4974, expected_value: All persons, label: sex} + - {column: E, row: 4974, expected_value: Self-employed, label: employment type} + - {column: J, row: 4974, expected_value: Value, label: measure} + - {column: L, row: 4975, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4976 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4976, expected_value: E12000003, label: geography} + - {column: D, row: 4976, expected_value: All persons, label: sex} + - {column: E, row: 4976, expected_value: Self-employed, label: employment type} + - {column: J, row: 4976, expected_value: Value, label: measure} + - {column: L, row: 4977, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4978 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4978, expected_value: E12000003, label: geography} + - {column: D, row: 4978, expected_value: All persons, label: sex} + - {column: E, row: 4978, expected_value: Self-employed, label: employment type} + - {column: J, row: 4978, expected_value: Value, label: measure} + - {column: L, row: 4979, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4980 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4980, expected_value: E12000003, label: geography} + - {column: D, row: 4980, expected_value: All persons, label: sex} + - {column: E, row: 4980, expected_value: Self-employed, label: employment type} + - {column: J, row: 4980, expected_value: Value, label: measure} + - {column: L, row: 4981, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4982 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4982, expected_value: E12000003, label: geography} + - {column: D, row: 4982, expected_value: All persons, label: sex} + - {column: E, row: 4982, expected_value: Self-employed, label: employment type} + - {column: J, row: 4982, expected_value: Value, label: measure} + - {column: L, row: 4983, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4984 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4984, expected_value: E12000003, label: geography} + - {column: D, row: 4984, expected_value: All persons, label: sex} + - {column: E, row: 4984, expected_value: Self-employed, label: employment type} + - {column: J, row: 4984, expected_value: Value, label: measure} + - {column: L, row: 4985, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4986 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4986, expected_value: E12000003, label: geography} + - {column: D, row: 4986, expected_value: All persons, label: sex} + - {column: E, row: 4986, expected_value: Self-employed, label: employment type} + - {column: J, row: 4986, expected_value: Value, label: measure} + - {column: L, row: 4987, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4988 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4988, expected_value: E12000003, label: geography} + - {column: D, row: 4988, expected_value: All persons, label: sex} + - {column: E, row: 4988, expected_value: Self-employed, label: employment type} + - {column: J, row: 4988, expected_value: Value, label: measure} + - {column: L, row: 4989, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4990 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4990, expected_value: E12000003, label: geography} + - {column: D, row: 4990, expected_value: All persons, label: sex} + - {column: E, row: 4990, expected_value: Self-employed, label: employment type} + - {column: J, row: 4990, expected_value: Value, label: measure} + - {column: L, row: 4991, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4992 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4992, expected_value: E12000003, label: geography} + - {column: D, row: 4992, expected_value: All persons, label: sex} + - {column: E, row: 4992, expected_value: Self-employed, label: employment type} + - {column: J, row: 4992, expected_value: Value, label: measure} + - {column: L, row: 4993, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4996 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4996, expected_value: E12000003, label: geography} + - {column: D, row: 4996, expected_value: All persons, label: sex} + - {column: E, row: 4996, expected_value: Self-employed, label: employment type} + - {column: J, row: 4996, expected_value: Value, label: measure} + - {column: L, row: 4997, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4998 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4998, expected_value: E12000003, label: geography} + - {column: D, row: 4998, expected_value: All persons, label: sex} + - {column: E, row: 4998, expected_value: Self-employed, label: employment type} + - {column: J, row: 4998, expected_value: Value, label: measure} + - {column: L, row: 4999, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5000 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5000, expected_value: E12000003, label: geography} + - {column: D, row: 5000, expected_value: All persons, label: sex} + - {column: E, row: 5000, expected_value: Self-employed, label: employment type} + - {column: J, row: 5000, expected_value: Value, label: measure} + - {column: L, row: 5001, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5002 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5002, expected_value: E12000003, label: geography} + - {column: D, row: 5002, expected_value: All persons, label: sex} + - {column: E, row: 5002, expected_value: Self-employed, label: employment type} + - {column: J, row: 5002, expected_value: Value, label: measure} + - {column: L, row: 5003, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5004 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5004, expected_value: E12000003, label: geography} + - {column: D, row: 5004, expected_value: All persons, label: sex} + - {column: E, row: 5004, expected_value: Self-employed, label: employment type} + - {column: J, row: 5004, expected_value: Value, label: measure} + - {column: L, row: 5005, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5006 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5006, expected_value: E12000003, label: geography} + - {column: D, row: 5006, expected_value: All persons, label: sex} + - {column: E, row: 5006, expected_value: Self-employed, label: employment type} + - {column: J, row: 5006, expected_value: Value, label: measure} + - {column: L, row: 5007, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5008 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5008, expected_value: E12000003, label: geography} + - {column: D, row: 5008, expected_value: All persons, label: sex} + - {column: E, row: 5008, expected_value: Self-employed, label: employment type} + - {column: J, row: 5008, expected_value: Value, label: measure} + - {column: L, row: 5009, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5010 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5010, expected_value: E12000003, label: geography} + - {column: D, row: 5010, expected_value: All persons, label: sex} + - {column: E, row: 5010, expected_value: Self-employed, label: employment type} + - {column: J, row: 5010, expected_value: Value, label: measure} + - {column: L, row: 5011, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5012 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5012, expected_value: E12000003, label: geography} + - {column: D, row: 5012, expected_value: All persons, label: sex} + - {column: E, row: 5012, expected_value: Self-employed, label: employment type} + - {column: J, row: 5012, expected_value: Value, label: measure} + - {column: L, row: 5013, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5014 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5014, expected_value: E12000003, label: geography} + - {column: D, row: 5014, expected_value: All persons, label: sex} + - {column: E, row: 5014, expected_value: Self-employed, label: employment type} + - {column: J, row: 5014, expected_value: Value, label: measure} + - {column: L, row: 5015, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5016 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5016, expected_value: E12000003, label: geography} + - {column: D, row: 5016, expected_value: All persons, label: sex} + - {column: E, row: 5016, expected_value: Self-employed, label: employment type} + - {column: J, row: 5016, expected_value: Value, label: measure} + - {column: L, row: 5017, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5018 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5018, expected_value: E12000003, label: geography} + - {column: D, row: 5018, expected_value: All persons, label: sex} + - {column: E, row: 5018, expected_value: Self-employed, label: employment type} + - {column: J, row: 5018, expected_value: Value, label: measure} + - {column: L, row: 5019, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5020 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5020, expected_value: E12000003, label: geography} + - {column: D, row: 5020, expected_value: All persons, label: sex} + - {column: E, row: 5020, expected_value: Self-employed, label: employment type} + - {column: J, row: 5020, expected_value: Value, label: measure} + - {column: L, row: 5021, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5024 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5024, expected_value: E12000003, label: geography} + - {column: D, row: 5024, expected_value: All persons, label: sex} + - {column: E, row: 5024, expected_value: Self-employed, label: employment type} + - {column: J, row: 5024, expected_value: Value, label: measure} + - {column: L, row: 5025, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5026 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5026, expected_value: E12000003, label: geography} + - {column: D, row: 5026, expected_value: All persons, label: sex} + - {column: E, row: 5026, expected_value: Self-employed, label: employment type} + - {column: J, row: 5026, expected_value: Value, label: measure} + - {column: L, row: 5027, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5028 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5028, expected_value: E12000003, label: geography} + - {column: D, row: 5028, expected_value: All persons, label: sex} + - {column: E, row: 5028, expected_value: Self-employed, label: employment type} + - {column: J, row: 5028, expected_value: Value, label: measure} + - {column: L, row: 5029, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5030 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5030, expected_value: E12000003, label: geography} + - {column: D, row: 5030, expected_value: All persons, label: sex} + - {column: E, row: 5030, expected_value: Self-employed, label: employment type} + - {column: J, row: 5030, expected_value: Value, label: measure} + - {column: L, row: 5031, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5032 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5032, expected_value: E12000003, label: geography} + - {column: D, row: 5032, expected_value: All persons, label: sex} + - {column: E, row: 5032, expected_value: Self-employed, label: employment type} + - {column: J, row: 5032, expected_value: Value, label: measure} + - {column: L, row: 5033, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5034 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5034, expected_value: E12000003, label: geography} + - {column: D, row: 5034, expected_value: All persons, label: sex} + - {column: E, row: 5034, expected_value: Self-employed, label: employment type} + - {column: J, row: 5034, expected_value: Value, label: measure} + - {column: L, row: 5035, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5036 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5036, expected_value: E12000003, label: geography} + - {column: D, row: 5036, expected_value: All persons, label: sex} + - {column: E, row: 5036, expected_value: Self-employed, label: employment type} + - {column: J, row: 5036, expected_value: Value, label: measure} + - {column: L, row: 5037, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5038 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5038, expected_value: E12000003, label: geography} + - {column: D, row: 5038, expected_value: All persons, label: sex} + - {column: E, row: 5038, expected_value: Self-employed, label: employment type} + - {column: J, row: 5038, expected_value: Value, label: measure} + - {column: L, row: 5039, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5040 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5040, expected_value: E12000003, label: geography} + - {column: D, row: 5040, expected_value: All persons, label: sex} + - {column: E, row: 5040, expected_value: Self-employed, label: employment type} + - {column: J, row: 5040, expected_value: Value, label: measure} + - {column: L, row: 5041, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4971 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4971, expected_value: E12000003, label: geography} + - {column: D, row: 4971, expected_value: All persons, label: sex} + - {column: E, row: 4971, expected_value: Self-employed, label: employment type} + - {column: J, row: 4971, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4973 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4973, expected_value: E12000003, label: geography} + - {column: D, row: 4973, expected_value: All persons, label: sex} + - {column: E, row: 4973, expected_value: Self-employed, label: employment type} + - {column: J, row: 4973, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4975 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4975, expected_value: E12000003, label: geography} + - {column: D, row: 4975, expected_value: All persons, label: sex} + - {column: E, row: 4975, expected_value: Self-employed, label: employment type} + - {column: J, row: 4975, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4977 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4977, expected_value: E12000003, label: geography} + - {column: D, row: 4977, expected_value: All persons, label: sex} + - {column: E, row: 4977, expected_value: Self-employed, label: employment type} + - {column: J, row: 4977, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4979 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4979, expected_value: E12000003, label: geography} + - {column: D, row: 4979, expected_value: All persons, label: sex} + - {column: E, row: 4979, expected_value: Self-employed, label: employment type} + - {column: J, row: 4979, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4981 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4981, expected_value: E12000003, label: geography} + - {column: D, row: 4981, expected_value: All persons, label: sex} + - {column: E, row: 4981, expected_value: Self-employed, label: employment type} + - {column: J, row: 4981, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4983 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4983, expected_value: E12000003, label: geography} + - {column: D, row: 4983, expected_value: All persons, label: sex} + - {column: E, row: 4983, expected_value: Self-employed, label: employment type} + - {column: J, row: 4983, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4985 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4985, expected_value: E12000003, label: geography} + - {column: D, row: 4985, expected_value: All persons, label: sex} + - {column: E, row: 4985, expected_value: Self-employed, label: employment type} + - {column: J, row: 4985, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4987 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4987, expected_value: E12000003, label: geography} + - {column: D, row: 4987, expected_value: All persons, label: sex} + - {column: E, row: 4987, expected_value: Self-employed, label: employment type} + - {column: J, row: 4987, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4989 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4989, expected_value: E12000003, label: geography} + - {column: D, row: 4989, expected_value: All persons, label: sex} + - {column: E, row: 4989, expected_value: Self-employed, label: employment type} + - {column: J, row: 4989, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4993 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4993, expected_value: E12000003, label: geography} + - {column: D, row: 4993, expected_value: All persons, label: sex} + - {column: E, row: 4993, expected_value: Self-employed, label: employment type} + - {column: J, row: 4993, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4997 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4997, expected_value: E12000003, label: geography} + - {column: D, row: 4997, expected_value: All persons, label: sex} + - {column: E, row: 4997, expected_value: Self-employed, label: employment type} + - {column: J, row: 4997, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4999 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4999, expected_value: E12000003, label: geography} + - {column: D, row: 4999, expected_value: All persons, label: sex} + - {column: E, row: 4999, expected_value: Self-employed, label: employment type} + - {column: J, row: 4999, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5001 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5001, expected_value: E12000003, label: geography} + - {column: D, row: 5001, expected_value: All persons, label: sex} + - {column: E, row: 5001, expected_value: Self-employed, label: employment type} + - {column: J, row: 5001, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5003 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5003, expected_value: E12000003, label: geography} + - {column: D, row: 5003, expected_value: All persons, label: sex} + - {column: E, row: 5003, expected_value: Self-employed, label: employment type} + - {column: J, row: 5003, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5007 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5007, expected_value: E12000003, label: geography} + - {column: D, row: 5007, expected_value: All persons, label: sex} + - {column: E, row: 5007, expected_value: Self-employed, label: employment type} + - {column: J, row: 5007, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5009 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5009, expected_value: E12000003, label: geography} + - {column: D, row: 5009, expected_value: All persons, label: sex} + - {column: E, row: 5009, expected_value: Self-employed, label: employment type} + - {column: J, row: 5009, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5011 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5011, expected_value: E12000003, label: geography} + - {column: D, row: 5011, expected_value: All persons, label: sex} + - {column: E, row: 5011, expected_value: Self-employed, label: employment type} + - {column: J, row: 5011, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5013 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5013, expected_value: E12000003, label: geography} + - {column: D, row: 5013, expected_value: All persons, label: sex} + - {column: E, row: 5013, expected_value: Self-employed, label: employment type} + - {column: J, row: 5013, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5015 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5015, expected_value: E12000003, label: geography} + - {column: D, row: 5015, expected_value: All persons, label: sex} + - {column: E, row: 5015, expected_value: Self-employed, label: employment type} + - {column: J, row: 5015, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5017 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5017, expected_value: E12000003, label: geography} + - {column: D, row: 5017, expected_value: All persons, label: sex} + - {column: E, row: 5017, expected_value: Self-employed, label: employment type} + - {column: J, row: 5017, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5019 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5019, expected_value: E12000003, label: geography} + - {column: D, row: 5019, expected_value: All persons, label: sex} + - {column: E, row: 5019, expected_value: Self-employed, label: employment type} + - {column: J, row: 5019, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5021 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5021, expected_value: E12000003, label: geography} + - {column: D, row: 5021, expected_value: All persons, label: sex} + - {column: E, row: 5021, expected_value: Self-employed, label: employment type} + - {column: J, row: 5021, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5025 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5025, expected_value: E12000003, label: geography} + - {column: D, row: 5025, expected_value: All persons, label: sex} + - {column: E, row: 5025, expected_value: Self-employed, label: employment type} + - {column: J, row: 5025, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5027 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5027, expected_value: E12000003, label: geography} + - {column: D, row: 5027, expected_value: All persons, label: sex} + - {column: E, row: 5027, expected_value: Self-employed, label: employment type} + - {column: J, row: 5027, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5031 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5031, expected_value: E12000003, label: geography} + - {column: D, row: 5031, expected_value: All persons, label: sex} + - {column: E, row: 5031, expected_value: Self-employed, label: employment type} + - {column: J, row: 5031, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5033 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5033, expected_value: E12000003, label: geography} + - {column: D, row: 5033, expected_value: All persons, label: sex} + - {column: E, row: 5033, expected_value: Self-employed, label: employment type} + - {column: J, row: 5033, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5035 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5035, expected_value: E12000003, label: geography} + - {column: D, row: 5035, expected_value: All persons, label: sex} + - {column: E, row: 5035, expected_value: Self-employed, label: employment type} + - {column: J, row: 5035, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5037 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5037, expected_value: E12000003, label: geography} + - {column: D, row: 5037, expected_value: All persons, label: sex} + - {column: E, row: 5037, expected_value: Self-employed, label: employment type} + - {column: J, row: 5037, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5039 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5039, expected_value: E12000003, label: geography} + - {column: D, row: 5039, expected_value: All persons, label: sex} + - {column: E, row: 5039, expected_value: Self-employed, label: employment type} + - {column: J, row: 5039, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5041 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5041, expected_value: E12000003, label: geography} + - {column: D, row: 5041, expected_value: All persons, label: sex} + - {column: E, row: 5041, expected_value: Self-employed, label: employment type} + - {column: J, row: 5041, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4610 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4610, expected_value: E12000003, label: geography} + - {column: D, row: 4610, expected_value: Males, label: sex} + - {column: E, row: 4610, expected_value: Total, label: employment type} + - {column: J, row: 4610, expected_value: Value, label: measure} + - {column: L, row: 4611, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4612 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4612, expected_value: E12000003, label: geography} + - {column: D, row: 4612, expected_value: Males, label: sex} + - {column: E, row: 4612, expected_value: Total, label: employment type} + - {column: J, row: 4612, expected_value: Value, label: measure} + - {column: L, row: 4613, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4614 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4614, expected_value: E12000003, label: geography} + - {column: D, row: 4614, expected_value: Males, label: sex} + - {column: E, row: 4614, expected_value: Total, label: employment type} + - {column: J, row: 4614, expected_value: Value, label: measure} + - {column: L, row: 4615, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4616 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4616, expected_value: E12000003, label: geography} + - {column: D, row: 4616, expected_value: Males, label: sex} + - {column: E, row: 4616, expected_value: Total, label: employment type} + - {column: J, row: 4616, expected_value: Value, label: measure} + - {column: L, row: 4617, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4618 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4618, expected_value: E12000003, label: geography} + - {column: D, row: 4618, expected_value: Males, label: sex} + - {column: E, row: 4618, expected_value: Total, label: employment type} + - {column: J, row: 4618, expected_value: Value, label: measure} + - {column: L, row: 4619, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4620 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4620, expected_value: E12000003, label: geography} + - {column: D, row: 4620, expected_value: Males, label: sex} + - {column: E, row: 4620, expected_value: Total, label: employment type} + - {column: J, row: 4620, expected_value: Value, label: measure} + - {column: L, row: 4621, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4622 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4622, expected_value: E12000003, label: geography} + - {column: D, row: 4622, expected_value: Males, label: sex} + - {column: E, row: 4622, expected_value: Total, label: employment type} + - {column: J, row: 4622, expected_value: Value, label: measure} + - {column: L, row: 4623, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4624 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4624, expected_value: E12000003, label: geography} + - {column: D, row: 4624, expected_value: Males, label: sex} + - {column: E, row: 4624, expected_value: Total, label: employment type} + - {column: J, row: 4624, expected_value: Value, label: measure} + - {column: L, row: 4625, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4626 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4626, expected_value: E12000003, label: geography} + - {column: D, row: 4626, expected_value: Males, label: sex} + - {column: E, row: 4626, expected_value: Total, label: employment type} + - {column: J, row: 4626, expected_value: Value, label: measure} + - {column: L, row: 4627, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4628 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4628, expected_value: E12000003, label: geography} + - {column: D, row: 4628, expected_value: Males, label: sex} + - {column: E, row: 4628, expected_value: Total, label: employment type} + - {column: J, row: 4628, expected_value: Value, label: measure} + - {column: L, row: 4629, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4630 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4630, expected_value: E12000003, label: geography} + - {column: D, row: 4630, expected_value: Males, label: sex} + - {column: E, row: 4630, expected_value: Total, label: employment type} + - {column: J, row: 4630, expected_value: Value, label: measure} + - {column: L, row: 4631, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4632 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4632, expected_value: E12000003, label: geography} + - {column: D, row: 4632, expected_value: Males, label: sex} + - {column: E, row: 4632, expected_value: Total, label: employment type} + - {column: J, row: 4632, expected_value: Value, label: measure} + - {column: L, row: 4633, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4634 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4634, expected_value: E12000003, label: geography} + - {column: D, row: 4634, expected_value: Males, label: sex} + - {column: E, row: 4634, expected_value: Total, label: employment type} + - {column: J, row: 4634, expected_value: Value, label: measure} + - {column: L, row: 4635, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4636 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4636, expected_value: E12000003, label: geography} + - {column: D, row: 4636, expected_value: Males, label: sex} + - {column: E, row: 4636, expected_value: Total, label: employment type} + - {column: J, row: 4636, expected_value: Value, label: measure} + - {column: L, row: 4637, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4638 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4638, expected_value: E12000003, label: geography} + - {column: D, row: 4638, expected_value: Males, label: sex} + - {column: E, row: 4638, expected_value: Total, label: employment type} + - {column: J, row: 4638, expected_value: Value, label: measure} + - {column: L, row: 4639, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4640 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4640, expected_value: E12000003, label: geography} + - {column: D, row: 4640, expected_value: Males, label: sex} + - {column: E, row: 4640, expected_value: Total, label: employment type} + - {column: J, row: 4640, expected_value: Value, label: measure} + - {column: L, row: 4641, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4642 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4642, expected_value: E12000003, label: geography} + - {column: D, row: 4642, expected_value: Males, label: sex} + - {column: E, row: 4642, expected_value: Total, label: employment type} + - {column: J, row: 4642, expected_value: Value, label: measure} + - {column: L, row: 4643, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4644 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4644, expected_value: E12000003, label: geography} + - {column: D, row: 4644, expected_value: Males, label: sex} + - {column: E, row: 4644, expected_value: Total, label: employment type} + - {column: J, row: 4644, expected_value: Value, label: measure} + - {column: L, row: 4645, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4646 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4646, expected_value: E12000003, label: geography} + - {column: D, row: 4646, expected_value: Males, label: sex} + - {column: E, row: 4646, expected_value: Total, label: employment type} + - {column: J, row: 4646, expected_value: Value, label: measure} + - {column: L, row: 4647, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4648 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4648, expected_value: E12000003, label: geography} + - {column: D, row: 4648, expected_value: Males, label: sex} + - {column: E, row: 4648, expected_value: Total, label: employment type} + - {column: J, row: 4648, expected_value: Value, label: measure} + - {column: L, row: 4649, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4650 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4650, expected_value: E12000003, label: geography} + - {column: D, row: 4650, expected_value: Males, label: sex} + - {column: E, row: 4650, expected_value: Total, label: employment type} + - {column: J, row: 4650, expected_value: Value, label: measure} + - {column: L, row: 4651, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4652 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4652, expected_value: E12000003, label: geography} + - {column: D, row: 4652, expected_value: Males, label: sex} + - {column: E, row: 4652, expected_value: Total, label: employment type} + - {column: J, row: 4652, expected_value: Value, label: measure} + - {column: L, row: 4653, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4654 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4654, expected_value: E12000003, label: geography} + - {column: D, row: 4654, expected_value: Males, label: sex} + - {column: E, row: 4654, expected_value: Total, label: employment type} + - {column: J, row: 4654, expected_value: Value, label: measure} + - {column: L, row: 4655, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4656 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4656, expected_value: E12000003, label: geography} + - {column: D, row: 4656, expected_value: Males, label: sex} + - {column: E, row: 4656, expected_value: Total, label: employment type} + - {column: J, row: 4656, expected_value: Value, label: measure} + - {column: L, row: 4657, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4658 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4658, expected_value: E12000003, label: geography} + - {column: D, row: 4658, expected_value: Males, label: sex} + - {column: E, row: 4658, expected_value: Total, label: employment type} + - {column: J, row: 4658, expected_value: Value, label: measure} + - {column: L, row: 4659, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4660 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4660, expected_value: E12000003, label: geography} + - {column: D, row: 4660, expected_value: Males, label: sex} + - {column: E, row: 4660, expected_value: Total, label: employment type} + - {column: J, row: 4660, expected_value: Value, label: measure} + - {column: L, row: 4661, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4662 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4662, expected_value: E12000003, label: geography} + - {column: D, row: 4662, expected_value: Males, label: sex} + - {column: E, row: 4662, expected_value: Total, label: employment type} + - {column: J, row: 4662, expected_value: Value, label: measure} + - {column: L, row: 4663, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4664 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4664, expected_value: E12000003, label: geography} + - {column: D, row: 4664, expected_value: Males, label: sex} + - {column: E, row: 4664, expected_value: Total, label: employment type} + - {column: J, row: 4664, expected_value: Value, label: measure} + - {column: L, row: 4665, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4666 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4666, expected_value: E12000003, label: geography} + - {column: D, row: 4666, expected_value: Males, label: sex} + - {column: E, row: 4666, expected_value: Total, label: employment type} + - {column: J, row: 4666, expected_value: Value, label: measure} + - {column: L, row: 4667, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4668 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4668, expected_value: E12000003, label: geography} + - {column: D, row: 4668, expected_value: Males, label: sex} + - {column: E, row: 4668, expected_value: Total, label: employment type} + - {column: J, row: 4668, expected_value: Value, label: measure} + - {column: L, row: 4669, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4670 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4670, expected_value: E12000003, label: geography} + - {column: D, row: 4670, expected_value: Males, label: sex} + - {column: E, row: 4670, expected_value: Total, label: employment type} + - {column: J, row: 4670, expected_value: Value, label: measure} + - {column: L, row: 4671, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4672 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4672, expected_value: E12000003, label: geography} + - {column: D, row: 4672, expected_value: Males, label: sex} + - {column: E, row: 4672, expected_value: Total, label: employment type} + - {column: J, row: 4672, expected_value: Value, label: measure} + - {column: L, row: 4673, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4674 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4674, expected_value: E12000003, label: geography} + - {column: D, row: 4674, expected_value: Males, label: sex} + - {column: E, row: 4674, expected_value: Total, label: employment type} + - {column: J, row: 4674, expected_value: Value, label: measure} + - {column: L, row: 4675, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4676 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4676, expected_value: E12000003, label: geography} + - {column: D, row: 4676, expected_value: Males, label: sex} + - {column: E, row: 4676, expected_value: Total, label: employment type} + - {column: J, row: 4676, expected_value: Value, label: measure} + - {column: L, row: 4677, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4678 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4678, expected_value: E12000003, label: geography} + - {column: D, row: 4678, expected_value: Males, label: sex} + - {column: E, row: 4678, expected_value: Total, label: employment type} + - {column: J, row: 4678, expected_value: Value, label: measure} + - {column: L, row: 4679, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4680 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4680, expected_value: E12000003, label: geography} + - {column: D, row: 4680, expected_value: Males, label: sex} + - {column: E, row: 4680, expected_value: Total, label: employment type} + - {column: J, row: 4680, expected_value: Value, label: measure} + - {column: L, row: 4681, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4611 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4611, expected_value: E12000003, label: geography} + - {column: D, row: 4611, expected_value: Males, label: sex} + - {column: E, row: 4611, expected_value: Total, label: employment type} + - {column: J, row: 4611, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4613 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4613, expected_value: E12000003, label: geography} + - {column: D, row: 4613, expected_value: Males, label: sex} + - {column: E, row: 4613, expected_value: Total, label: employment type} + - {column: J, row: 4613, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4615 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4615, expected_value: E12000003, label: geography} + - {column: D, row: 4615, expected_value: Males, label: sex} + - {column: E, row: 4615, expected_value: Total, label: employment type} + - {column: J, row: 4615, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4617 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4617, expected_value: E12000003, label: geography} + - {column: D, row: 4617, expected_value: Males, label: sex} + - {column: E, row: 4617, expected_value: Total, label: employment type} + - {column: J, row: 4617, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4619 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4619, expected_value: E12000003, label: geography} + - {column: D, row: 4619, expected_value: Males, label: sex} + - {column: E, row: 4619, expected_value: Total, label: employment type} + - {column: J, row: 4619, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4621 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4621, expected_value: E12000003, label: geography} + - {column: D, row: 4621, expected_value: Males, label: sex} + - {column: E, row: 4621, expected_value: Total, label: employment type} + - {column: J, row: 4621, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4623 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4623, expected_value: E12000003, label: geography} + - {column: D, row: 4623, expected_value: Males, label: sex} + - {column: E, row: 4623, expected_value: Total, label: employment type} + - {column: J, row: 4623, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4625 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4625, expected_value: E12000003, label: geography} + - {column: D, row: 4625, expected_value: Males, label: sex} + - {column: E, row: 4625, expected_value: Total, label: employment type} + - {column: J, row: 4625, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4627 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4627, expected_value: E12000003, label: geography} + - {column: D, row: 4627, expected_value: Males, label: sex} + - {column: E, row: 4627, expected_value: Total, label: employment type} + - {column: J, row: 4627, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4629 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4629, expected_value: E12000003, label: geography} + - {column: D, row: 4629, expected_value: Males, label: sex} + - {column: E, row: 4629, expected_value: Total, label: employment type} + - {column: J, row: 4629, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4631 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4631, expected_value: E12000003, label: geography} + - {column: D, row: 4631, expected_value: Males, label: sex} + - {column: E, row: 4631, expected_value: Total, label: employment type} + - {column: J, row: 4631, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4633 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4633, expected_value: E12000003, label: geography} + - {column: D, row: 4633, expected_value: Males, label: sex} + - {column: E, row: 4633, expected_value: Total, label: employment type} + - {column: J, row: 4633, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4635 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4635, expected_value: E12000003, label: geography} + - {column: D, row: 4635, expected_value: Males, label: sex} + - {column: E, row: 4635, expected_value: Total, label: employment type} + - {column: J, row: 4635, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4637 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4637, expected_value: E12000003, label: geography} + - {column: D, row: 4637, expected_value: Males, label: sex} + - {column: E, row: 4637, expected_value: Total, label: employment type} + - {column: J, row: 4637, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4639 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4639, expected_value: E12000003, label: geography} + - {column: D, row: 4639, expected_value: Males, label: sex} + - {column: E, row: 4639, expected_value: Total, label: employment type} + - {column: J, row: 4639, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4641 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4641, expected_value: E12000003, label: geography} + - {column: D, row: 4641, expected_value: Males, label: sex} + - {column: E, row: 4641, expected_value: Total, label: employment type} + - {column: J, row: 4641, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4643 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4643, expected_value: E12000003, label: geography} + - {column: D, row: 4643, expected_value: Males, label: sex} + - {column: E, row: 4643, expected_value: Total, label: employment type} + - {column: J, row: 4643, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4647 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4647, expected_value: E12000003, label: geography} + - {column: D, row: 4647, expected_value: Males, label: sex} + - {column: E, row: 4647, expected_value: Total, label: employment type} + - {column: J, row: 4647, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4649 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4649, expected_value: E12000003, label: geography} + - {column: D, row: 4649, expected_value: Males, label: sex} + - {column: E, row: 4649, expected_value: Total, label: employment type} + - {column: J, row: 4649, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4651 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4651, expected_value: E12000003, label: geography} + - {column: D, row: 4651, expected_value: Males, label: sex} + - {column: E, row: 4651, expected_value: Total, label: employment type} + - {column: J, row: 4651, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4653 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4653, expected_value: E12000003, label: geography} + - {column: D, row: 4653, expected_value: Males, label: sex} + - {column: E, row: 4653, expected_value: Total, label: employment type} + - {column: J, row: 4653, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4655 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4655, expected_value: E12000003, label: geography} + - {column: D, row: 4655, expected_value: Males, label: sex} + - {column: E, row: 4655, expected_value: Total, label: employment type} + - {column: J, row: 4655, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4657 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4657, expected_value: E12000003, label: geography} + - {column: D, row: 4657, expected_value: Males, label: sex} + - {column: E, row: 4657, expected_value: Total, label: employment type} + - {column: J, row: 4657, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4659 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4659, expected_value: E12000003, label: geography} + - {column: D, row: 4659, expected_value: Males, label: sex} + - {column: E, row: 4659, expected_value: Total, label: employment type} + - {column: J, row: 4659, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4661 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4661, expected_value: E12000003, label: geography} + - {column: D, row: 4661, expected_value: Males, label: sex} + - {column: E, row: 4661, expected_value: Total, label: employment type} + - {column: J, row: 4661, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4665 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4665, expected_value: E12000003, label: geography} + - {column: D, row: 4665, expected_value: Males, label: sex} + - {column: E, row: 4665, expected_value: Total, label: employment type} + - {column: J, row: 4665, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4667 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4667, expected_value: E12000003, label: geography} + - {column: D, row: 4667, expected_value: Males, label: sex} + - {column: E, row: 4667, expected_value: Total, label: employment type} + - {column: J, row: 4667, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4669 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4669, expected_value: E12000003, label: geography} + - {column: D, row: 4669, expected_value: Males, label: sex} + - {column: E, row: 4669, expected_value: Total, label: employment type} + - {column: J, row: 4669, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4671 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4671, expected_value: E12000003, label: geography} + - {column: D, row: 4671, expected_value: Males, label: sex} + - {column: E, row: 4671, expected_value: Total, label: employment type} + - {column: J, row: 4671, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4673 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4673, expected_value: E12000003, label: geography} + - {column: D, row: 4673, expected_value: Males, label: sex} + - {column: E, row: 4673, expected_value: Total, label: employment type} + - {column: J, row: 4673, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4675 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4675, expected_value: E12000003, label: geography} + - {column: D, row: 4675, expected_value: Males, label: sex} + - {column: E, row: 4675, expected_value: Total, label: employment type} + - {column: J, row: 4675, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4677 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4677, expected_value: E12000003, label: geography} + - {column: D, row: 4677, expected_value: Males, label: sex} + - {column: E, row: 4677, expected_value: Total, label: employment type} + - {column: J, row: 4677, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4679 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4679, expected_value: E12000003, label: geography} + - {column: D, row: 4679, expected_value: Males, label: sex} + - {column: E, row: 4679, expected_value: Total, label: employment type} + - {column: J, row: 4679, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4681 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4681, expected_value: E12000003, label: geography} + - {column: D, row: 4681, expected_value: Males, label: sex} + - {column: E, row: 4681, expected_value: Total, label: employment type} + - {column: J, row: 4681, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4826 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4826, expected_value: E12000003, label: geography} + - {column: D, row: 4826, expected_value: Males, label: sex} + - {column: E, row: 4826, expected_value: Employee, label: employment type} + - {column: J, row: 4826, expected_value: Value, label: measure} + - {column: L, row: 4827, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4828 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4828, expected_value: E12000003, label: geography} + - {column: D, row: 4828, expected_value: Males, label: sex} + - {column: E, row: 4828, expected_value: Employee, label: employment type} + - {column: J, row: 4828, expected_value: Value, label: measure} + - {column: L, row: 4829, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4830 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4830, expected_value: E12000003, label: geography} + - {column: D, row: 4830, expected_value: Males, label: sex} + - {column: E, row: 4830, expected_value: Employee, label: employment type} + - {column: J, row: 4830, expected_value: Value, label: measure} + - {column: L, row: 4831, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4832 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4832, expected_value: E12000003, label: geography} + - {column: D, row: 4832, expected_value: Males, label: sex} + - {column: E, row: 4832, expected_value: Employee, label: employment type} + - {column: J, row: 4832, expected_value: Value, label: measure} + - {column: L, row: 4833, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4834 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4834, expected_value: E12000003, label: geography} + - {column: D, row: 4834, expected_value: Males, label: sex} + - {column: E, row: 4834, expected_value: Employee, label: employment type} + - {column: J, row: 4834, expected_value: Value, label: measure} + - {column: L, row: 4835, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4836 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4836, expected_value: E12000003, label: geography} + - {column: D, row: 4836, expected_value: Males, label: sex} + - {column: E, row: 4836, expected_value: Employee, label: employment type} + - {column: J, row: 4836, expected_value: Value, label: measure} + - {column: L, row: 4837, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4838 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4838, expected_value: E12000003, label: geography} + - {column: D, row: 4838, expected_value: Males, label: sex} + - {column: E, row: 4838, expected_value: Employee, label: employment type} + - {column: J, row: 4838, expected_value: Value, label: measure} + - {column: L, row: 4839, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4840 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4840, expected_value: E12000003, label: geography} + - {column: D, row: 4840, expected_value: Males, label: sex} + - {column: E, row: 4840, expected_value: Employee, label: employment type} + - {column: J, row: 4840, expected_value: Value, label: measure} + - {column: L, row: 4841, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4842 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4842, expected_value: E12000003, label: geography} + - {column: D, row: 4842, expected_value: Males, label: sex} + - {column: E, row: 4842, expected_value: Employee, label: employment type} + - {column: J, row: 4842, expected_value: Value, label: measure} + - {column: L, row: 4843, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4844 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4844, expected_value: E12000003, label: geography} + - {column: D, row: 4844, expected_value: Males, label: sex} + - {column: E, row: 4844, expected_value: Employee, label: employment type} + - {column: J, row: 4844, expected_value: Value, label: measure} + - {column: L, row: 4845, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4846 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4846, expected_value: E12000003, label: geography} + - {column: D, row: 4846, expected_value: Males, label: sex} + - {column: E, row: 4846, expected_value: Employee, label: employment type} + - {column: J, row: 4846, expected_value: Value, label: measure} + - {column: L, row: 4847, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4848 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4848, expected_value: E12000003, label: geography} + - {column: D, row: 4848, expected_value: Males, label: sex} + - {column: E, row: 4848, expected_value: Employee, label: employment type} + - {column: J, row: 4848, expected_value: Value, label: measure} + - {column: L, row: 4849, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4850 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4850, expected_value: E12000003, label: geography} + - {column: D, row: 4850, expected_value: Males, label: sex} + - {column: E, row: 4850, expected_value: Employee, label: employment type} + - {column: J, row: 4850, expected_value: Value, label: measure} + - {column: L, row: 4851, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4852 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4852, expected_value: E12000003, label: geography} + - {column: D, row: 4852, expected_value: Males, label: sex} + - {column: E, row: 4852, expected_value: Employee, label: employment type} + - {column: J, row: 4852, expected_value: Value, label: measure} + - {column: L, row: 4853, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4854 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4854, expected_value: E12000003, label: geography} + - {column: D, row: 4854, expected_value: Males, label: sex} + - {column: E, row: 4854, expected_value: Employee, label: employment type} + - {column: J, row: 4854, expected_value: Value, label: measure} + - {column: L, row: 4855, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4856 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4856, expected_value: E12000003, label: geography} + - {column: D, row: 4856, expected_value: Males, label: sex} + - {column: E, row: 4856, expected_value: Employee, label: employment type} + - {column: J, row: 4856, expected_value: Value, label: measure} + - {column: L, row: 4857, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4858 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4858, expected_value: E12000003, label: geography} + - {column: D, row: 4858, expected_value: Males, label: sex} + - {column: E, row: 4858, expected_value: Employee, label: employment type} + - {column: J, row: 4858, expected_value: Value, label: measure} + - {column: L, row: 4859, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4860 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4860, expected_value: E12000003, label: geography} + - {column: D, row: 4860, expected_value: Males, label: sex} + - {column: E, row: 4860, expected_value: Employee, label: employment type} + - {column: J, row: 4860, expected_value: Value, label: measure} + - {column: L, row: 4861, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4862 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4862, expected_value: E12000003, label: geography} + - {column: D, row: 4862, expected_value: Males, label: sex} + - {column: E, row: 4862, expected_value: Employee, label: employment type} + - {column: J, row: 4862, expected_value: Value, label: measure} + - {column: L, row: 4863, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4864 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4864, expected_value: E12000003, label: geography} + - {column: D, row: 4864, expected_value: Males, label: sex} + - {column: E, row: 4864, expected_value: Employee, label: employment type} + - {column: J, row: 4864, expected_value: Value, label: measure} + - {column: L, row: 4865, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4866 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4866, expected_value: E12000003, label: geography} + - {column: D, row: 4866, expected_value: Males, label: sex} + - {column: E, row: 4866, expected_value: Employee, label: employment type} + - {column: J, row: 4866, expected_value: Value, label: measure} + - {column: L, row: 4867, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4868 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4868, expected_value: E12000003, label: geography} + - {column: D, row: 4868, expected_value: Males, label: sex} + - {column: E, row: 4868, expected_value: Employee, label: employment type} + - {column: J, row: 4868, expected_value: Value, label: measure} + - {column: L, row: 4869, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4870 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4870, expected_value: E12000003, label: geography} + - {column: D, row: 4870, expected_value: Males, label: sex} + - {column: E, row: 4870, expected_value: Employee, label: employment type} + - {column: J, row: 4870, expected_value: Value, label: measure} + - {column: L, row: 4871, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4872 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4872, expected_value: E12000003, label: geography} + - {column: D, row: 4872, expected_value: Males, label: sex} + - {column: E, row: 4872, expected_value: Employee, label: employment type} + - {column: J, row: 4872, expected_value: Value, label: measure} + - {column: L, row: 4873, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4874 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4874, expected_value: E12000003, label: geography} + - {column: D, row: 4874, expected_value: Males, label: sex} + - {column: E, row: 4874, expected_value: Employee, label: employment type} + - {column: J, row: 4874, expected_value: Value, label: measure} + - {column: L, row: 4875, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4876 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4876, expected_value: E12000003, label: geography} + - {column: D, row: 4876, expected_value: Males, label: sex} + - {column: E, row: 4876, expected_value: Employee, label: employment type} + - {column: J, row: 4876, expected_value: Value, label: measure} + - {column: L, row: 4877, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4878 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4878, expected_value: E12000003, label: geography} + - {column: D, row: 4878, expected_value: Males, label: sex} + - {column: E, row: 4878, expected_value: Employee, label: employment type} + - {column: J, row: 4878, expected_value: Value, label: measure} + - {column: L, row: 4879, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4880 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4880, expected_value: E12000003, label: geography} + - {column: D, row: 4880, expected_value: Males, label: sex} + - {column: E, row: 4880, expected_value: Employee, label: employment type} + - {column: J, row: 4880, expected_value: Value, label: measure} + - {column: L, row: 4881, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4882 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4882, expected_value: E12000003, label: geography} + - {column: D, row: 4882, expected_value: Males, label: sex} + - {column: E, row: 4882, expected_value: Employee, label: employment type} + - {column: J, row: 4882, expected_value: Value, label: measure} + - {column: L, row: 4883, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4884 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4884, expected_value: E12000003, label: geography} + - {column: D, row: 4884, expected_value: Males, label: sex} + - {column: E, row: 4884, expected_value: Employee, label: employment type} + - {column: J, row: 4884, expected_value: Value, label: measure} + - {column: L, row: 4885, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4886 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4886, expected_value: E12000003, label: geography} + - {column: D, row: 4886, expected_value: Males, label: sex} + - {column: E, row: 4886, expected_value: Employee, label: employment type} + - {column: J, row: 4886, expected_value: Value, label: measure} + - {column: L, row: 4887, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4888 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4888, expected_value: E12000003, label: geography} + - {column: D, row: 4888, expected_value: Males, label: sex} + - {column: E, row: 4888, expected_value: Employee, label: employment type} + - {column: J, row: 4888, expected_value: Value, label: measure} + - {column: L, row: 4889, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4890 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4890, expected_value: E12000003, label: geography} + - {column: D, row: 4890, expected_value: Males, label: sex} + - {column: E, row: 4890, expected_value: Employee, label: employment type} + - {column: J, row: 4890, expected_value: Value, label: measure} + - {column: L, row: 4891, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4892 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4892, expected_value: E12000003, label: geography} + - {column: D, row: 4892, expected_value: Males, label: sex} + - {column: E, row: 4892, expected_value: Employee, label: employment type} + - {column: J, row: 4892, expected_value: Value, label: measure} + - {column: L, row: 4893, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4894 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4894, expected_value: E12000003, label: geography} + - {column: D, row: 4894, expected_value: Males, label: sex} + - {column: E, row: 4894, expected_value: Employee, label: employment type} + - {column: J, row: 4894, expected_value: Value, label: measure} + - {column: L, row: 4895, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4896 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4896, expected_value: E12000003, label: geography} + - {column: D, row: 4896, expected_value: Males, label: sex} + - {column: E, row: 4896, expected_value: Employee, label: employment type} + - {column: J, row: 4896, expected_value: Value, label: measure} + - {column: L, row: 4897, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4827 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4827, expected_value: E12000003, label: geography} + - {column: D, row: 4827, expected_value: Males, label: sex} + - {column: E, row: 4827, expected_value: Employee, label: employment type} + - {column: J, row: 4827, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4829 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4829, expected_value: E12000003, label: geography} + - {column: D, row: 4829, expected_value: Males, label: sex} + - {column: E, row: 4829, expected_value: Employee, label: employment type} + - {column: J, row: 4829, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4831 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4831, expected_value: E12000003, label: geography} + - {column: D, row: 4831, expected_value: Males, label: sex} + - {column: E, row: 4831, expected_value: Employee, label: employment type} + - {column: J, row: 4831, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4833 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4833, expected_value: E12000003, label: geography} + - {column: D, row: 4833, expected_value: Males, label: sex} + - {column: E, row: 4833, expected_value: Employee, label: employment type} + - {column: J, row: 4833, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4835 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4835, expected_value: E12000003, label: geography} + - {column: D, row: 4835, expected_value: Males, label: sex} + - {column: E, row: 4835, expected_value: Employee, label: employment type} + - {column: J, row: 4835, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4837 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4837, expected_value: E12000003, label: geography} + - {column: D, row: 4837, expected_value: Males, label: sex} + - {column: E, row: 4837, expected_value: Employee, label: employment type} + - {column: J, row: 4837, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4839 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4839, expected_value: E12000003, label: geography} + - {column: D, row: 4839, expected_value: Males, label: sex} + - {column: E, row: 4839, expected_value: Employee, label: employment type} + - {column: J, row: 4839, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4841 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4841, expected_value: E12000003, label: geography} + - {column: D, row: 4841, expected_value: Males, label: sex} + - {column: E, row: 4841, expected_value: Employee, label: employment type} + - {column: J, row: 4841, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4843 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4843, expected_value: E12000003, label: geography} + - {column: D, row: 4843, expected_value: Males, label: sex} + - {column: E, row: 4843, expected_value: Employee, label: employment type} + - {column: J, row: 4843, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4845 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4845, expected_value: E12000003, label: geography} + - {column: D, row: 4845, expected_value: Males, label: sex} + - {column: E, row: 4845, expected_value: Employee, label: employment type} + - {column: J, row: 4845, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4847 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4847, expected_value: E12000003, label: geography} + - {column: D, row: 4847, expected_value: Males, label: sex} + - {column: E, row: 4847, expected_value: Employee, label: employment type} + - {column: J, row: 4847, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4849 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4849, expected_value: E12000003, label: geography} + - {column: D, row: 4849, expected_value: Males, label: sex} + - {column: E, row: 4849, expected_value: Employee, label: employment type} + - {column: J, row: 4849, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4851 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4851, expected_value: E12000003, label: geography} + - {column: D, row: 4851, expected_value: Males, label: sex} + - {column: E, row: 4851, expected_value: Employee, label: employment type} + - {column: J, row: 4851, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4853 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4853, expected_value: E12000003, label: geography} + - {column: D, row: 4853, expected_value: Males, label: sex} + - {column: E, row: 4853, expected_value: Employee, label: employment type} + - {column: J, row: 4853, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4855 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4855, expected_value: E12000003, label: geography} + - {column: D, row: 4855, expected_value: Males, label: sex} + - {column: E, row: 4855, expected_value: Employee, label: employment type} + - {column: J, row: 4855, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4857 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4857, expected_value: E12000003, label: geography} + - {column: D, row: 4857, expected_value: Males, label: sex} + - {column: E, row: 4857, expected_value: Employee, label: employment type} + - {column: J, row: 4857, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4859 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4859, expected_value: E12000003, label: geography} + - {column: D, row: 4859, expected_value: Males, label: sex} + - {column: E, row: 4859, expected_value: Employee, label: employment type} + - {column: J, row: 4859, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4863 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4863, expected_value: E12000003, label: geography} + - {column: D, row: 4863, expected_value: Males, label: sex} + - {column: E, row: 4863, expected_value: Employee, label: employment type} + - {column: J, row: 4863, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4865 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4865, expected_value: E12000003, label: geography} + - {column: D, row: 4865, expected_value: Males, label: sex} + - {column: E, row: 4865, expected_value: Employee, label: employment type} + - {column: J, row: 4865, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4867 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4867, expected_value: E12000003, label: geography} + - {column: D, row: 4867, expected_value: Males, label: sex} + - {column: E, row: 4867, expected_value: Employee, label: employment type} + - {column: J, row: 4867, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4869 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4869, expected_value: E12000003, label: geography} + - {column: D, row: 4869, expected_value: Males, label: sex} + - {column: E, row: 4869, expected_value: Employee, label: employment type} + - {column: J, row: 4869, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4871 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4871, expected_value: E12000003, label: geography} + - {column: D, row: 4871, expected_value: Males, label: sex} + - {column: E, row: 4871, expected_value: Employee, label: employment type} + - {column: J, row: 4871, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4873 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4873, expected_value: E12000003, label: geography} + - {column: D, row: 4873, expected_value: Males, label: sex} + - {column: E, row: 4873, expected_value: Employee, label: employment type} + - {column: J, row: 4873, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4875 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4875, expected_value: E12000003, label: geography} + - {column: D, row: 4875, expected_value: Males, label: sex} + - {column: E, row: 4875, expected_value: Employee, label: employment type} + - {column: J, row: 4875, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4877 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4877, expected_value: E12000003, label: geography} + - {column: D, row: 4877, expected_value: Males, label: sex} + - {column: E, row: 4877, expected_value: Employee, label: employment type} + - {column: J, row: 4877, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4881 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4881, expected_value: E12000003, label: geography} + - {column: D, row: 4881, expected_value: Males, label: sex} + - {column: E, row: 4881, expected_value: Employee, label: employment type} + - {column: J, row: 4881, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4883 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4883, expected_value: E12000003, label: geography} + - {column: D, row: 4883, expected_value: Males, label: sex} + - {column: E, row: 4883, expected_value: Employee, label: employment type} + - {column: J, row: 4883, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4885 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4885, expected_value: E12000003, label: geography} + - {column: D, row: 4885, expected_value: Males, label: sex} + - {column: E, row: 4885, expected_value: Employee, label: employment type} + - {column: J, row: 4885, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4887 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4887, expected_value: E12000003, label: geography} + - {column: D, row: 4887, expected_value: Males, label: sex} + - {column: E, row: 4887, expected_value: Employee, label: employment type} + - {column: J, row: 4887, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4889 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4889, expected_value: E12000003, label: geography} + - {column: D, row: 4889, expected_value: Males, label: sex} + - {column: E, row: 4889, expected_value: Employee, label: employment type} + - {column: J, row: 4889, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4891 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4891, expected_value: E12000003, label: geography} + - {column: D, row: 4891, expected_value: Males, label: sex} + - {column: E, row: 4891, expected_value: Employee, label: employment type} + - {column: J, row: 4891, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4893 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4893, expected_value: E12000003, label: geography} + - {column: D, row: 4893, expected_value: Males, label: sex} + - {column: E, row: 4893, expected_value: Employee, label: employment type} + - {column: J, row: 4893, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4895 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4895, expected_value: E12000003, label: geography} + - {column: D, row: 4895, expected_value: Males, label: sex} + - {column: E, row: 4895, expected_value: Employee, label: employment type} + - {column: J, row: 4895, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4897 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4897, expected_value: E12000003, label: geography} + - {column: D, row: 4897, expected_value: Males, label: sex} + - {column: E, row: 4897, expected_value: Employee, label: employment type} + - {column: J, row: 4897, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5042 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5042, expected_value: E12000003, label: geography} + - {column: D, row: 5042, expected_value: Males, label: sex} + - {column: E, row: 5042, expected_value: Self-employed, label: employment type} + - {column: J, row: 5042, expected_value: Value, label: measure} + - {column: L, row: 5043, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5044 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5044, expected_value: E12000003, label: geography} + - {column: D, row: 5044, expected_value: Males, label: sex} + - {column: E, row: 5044, expected_value: Self-employed, label: employment type} + - {column: J, row: 5044, expected_value: Value, label: measure} + - {column: L, row: 5045, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5046 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5046, expected_value: E12000003, label: geography} + - {column: D, row: 5046, expected_value: Males, label: sex} + - {column: E, row: 5046, expected_value: Self-employed, label: employment type} + - {column: J, row: 5046, expected_value: Value, label: measure} + - {column: L, row: 5047, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5048 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5048, expected_value: E12000003, label: geography} + - {column: D, row: 5048, expected_value: Males, label: sex} + - {column: E, row: 5048, expected_value: Self-employed, label: employment type} + - {column: J, row: 5048, expected_value: Value, label: measure} + - {column: L, row: 5049, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5050 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5050, expected_value: E12000003, label: geography} + - {column: D, row: 5050, expected_value: Males, label: sex} + - {column: E, row: 5050, expected_value: Self-employed, label: employment type} + - {column: J, row: 5050, expected_value: Value, label: measure} + - {column: L, row: 5051, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5052 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5052, expected_value: E12000003, label: geography} + - {column: D, row: 5052, expected_value: Males, label: sex} + - {column: E, row: 5052, expected_value: Self-employed, label: employment type} + - {column: J, row: 5052, expected_value: Value, label: measure} + - {column: L, row: 5053, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5054 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5054, expected_value: E12000003, label: geography} + - {column: D, row: 5054, expected_value: Males, label: sex} + - {column: E, row: 5054, expected_value: Self-employed, label: employment type} + - {column: J, row: 5054, expected_value: Value, label: measure} + - {column: L, row: 5055, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5056 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5056, expected_value: E12000003, label: geography} + - {column: D, row: 5056, expected_value: Males, label: sex} + - {column: E, row: 5056, expected_value: Self-employed, label: employment type} + - {column: J, row: 5056, expected_value: Value, label: measure} + - {column: L, row: 5057, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5058 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5058, expected_value: E12000003, label: geography} + - {column: D, row: 5058, expected_value: Males, label: sex} + - {column: E, row: 5058, expected_value: Self-employed, label: employment type} + - {column: J, row: 5058, expected_value: Value, label: measure} + - {column: L, row: 5059, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5060 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5060, expected_value: E12000003, label: geography} + - {column: D, row: 5060, expected_value: Males, label: sex} + - {column: E, row: 5060, expected_value: Self-employed, label: employment type} + - {column: J, row: 5060, expected_value: Value, label: measure} + - {column: L, row: 5061, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5062 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5062, expected_value: E12000003, label: geography} + - {column: D, row: 5062, expected_value: Males, label: sex} + - {column: E, row: 5062, expected_value: Self-employed, label: employment type} + - {column: J, row: 5062, expected_value: Value, label: measure} + - {column: L, row: 5063, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5064 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5064, expected_value: E12000003, label: geography} + - {column: D, row: 5064, expected_value: Males, label: sex} + - {column: E, row: 5064, expected_value: Self-employed, label: employment type} + - {column: J, row: 5064, expected_value: Value, label: measure} + - {column: L, row: 5065, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5068 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5068, expected_value: E12000003, label: geography} + - {column: D, row: 5068, expected_value: Males, label: sex} + - {column: E, row: 5068, expected_value: Self-employed, label: employment type} + - {column: J, row: 5068, expected_value: Value, label: measure} + - {column: L, row: 5069, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5070 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5070, expected_value: E12000003, label: geography} + - {column: D, row: 5070, expected_value: Males, label: sex} + - {column: E, row: 5070, expected_value: Self-employed, label: employment type} + - {column: J, row: 5070, expected_value: Value, label: measure} + - {column: L, row: 5071, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5072 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5072, expected_value: E12000003, label: geography} + - {column: D, row: 5072, expected_value: Males, label: sex} + - {column: E, row: 5072, expected_value: Self-employed, label: employment type} + - {column: J, row: 5072, expected_value: Value, label: measure} + - {column: L, row: 5073, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5074 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5074, expected_value: E12000003, label: geography} + - {column: D, row: 5074, expected_value: Males, label: sex} + - {column: E, row: 5074, expected_value: Self-employed, label: employment type} + - {column: J, row: 5074, expected_value: Value, label: measure} + - {column: L, row: 5075, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5078 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5078, expected_value: E12000003, label: geography} + - {column: D, row: 5078, expected_value: Males, label: sex} + - {column: E, row: 5078, expected_value: Self-employed, label: employment type} + - {column: J, row: 5078, expected_value: Value, label: measure} + - {column: L, row: 5079, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5080 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5080, expected_value: E12000003, label: geography} + - {column: D, row: 5080, expected_value: Males, label: sex} + - {column: E, row: 5080, expected_value: Self-employed, label: employment type} + - {column: J, row: 5080, expected_value: Value, label: measure} + - {column: L, row: 5081, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5082 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5082, expected_value: E12000003, label: geography} + - {column: D, row: 5082, expected_value: Males, label: sex} + - {column: E, row: 5082, expected_value: Self-employed, label: employment type} + - {column: J, row: 5082, expected_value: Value, label: measure} + - {column: L, row: 5083, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5084 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5084, expected_value: E12000003, label: geography} + - {column: D, row: 5084, expected_value: Males, label: sex} + - {column: E, row: 5084, expected_value: Self-employed, label: employment type} + - {column: J, row: 5084, expected_value: Value, label: measure} + - {column: L, row: 5085, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5086 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5086, expected_value: E12000003, label: geography} + - {column: D, row: 5086, expected_value: Males, label: sex} + - {column: E, row: 5086, expected_value: Self-employed, label: employment type} + - {column: J, row: 5086, expected_value: Value, label: measure} + - {column: L, row: 5087, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5088 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5088, expected_value: E12000003, label: geography} + - {column: D, row: 5088, expected_value: Males, label: sex} + - {column: E, row: 5088, expected_value: Self-employed, label: employment type} + - {column: J, row: 5088, expected_value: Value, label: measure} + - {column: L, row: 5089, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5090 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5090, expected_value: E12000003, label: geography} + - {column: D, row: 5090, expected_value: Males, label: sex} + - {column: E, row: 5090, expected_value: Self-employed, label: employment type} + - {column: J, row: 5090, expected_value: Value, label: measure} + - {column: L, row: 5091, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5092 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5092, expected_value: E12000003, label: geography} + - {column: D, row: 5092, expected_value: Males, label: sex} + - {column: E, row: 5092, expected_value: Self-employed, label: employment type} + - {column: J, row: 5092, expected_value: Value, label: measure} + - {column: L, row: 5093, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5096 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5096, expected_value: E12000003, label: geography} + - {column: D, row: 5096, expected_value: Males, label: sex} + - {column: E, row: 5096, expected_value: Self-employed, label: employment type} + - {column: J, row: 5096, expected_value: Value, label: measure} + - {column: L, row: 5097, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5098 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5098, expected_value: E12000003, label: geography} + - {column: D, row: 5098, expected_value: Males, label: sex} + - {column: E, row: 5098, expected_value: Self-employed, label: employment type} + - {column: J, row: 5098, expected_value: Value, label: measure} + - {column: L, row: 5099, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5100 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5100, expected_value: E12000003, label: geography} + - {column: D, row: 5100, expected_value: Males, label: sex} + - {column: E, row: 5100, expected_value: Self-employed, label: employment type} + - {column: J, row: 5100, expected_value: Value, label: measure} + - {column: L, row: 5101, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5102 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5102, expected_value: E12000003, label: geography} + - {column: D, row: 5102, expected_value: Males, label: sex} + - {column: E, row: 5102, expected_value: Self-employed, label: employment type} + - {column: J, row: 5102, expected_value: Value, label: measure} + - {column: L, row: 5103, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5104 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5104, expected_value: E12000003, label: geography} + - {column: D, row: 5104, expected_value: Males, label: sex} + - {column: E, row: 5104, expected_value: Self-employed, label: employment type} + - {column: J, row: 5104, expected_value: Value, label: measure} + - {column: L, row: 5105, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5106 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5106, expected_value: E12000003, label: geography} + - {column: D, row: 5106, expected_value: Males, label: sex} + - {column: E, row: 5106, expected_value: Self-employed, label: employment type} + - {column: J, row: 5106, expected_value: Value, label: measure} + - {column: L, row: 5107, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5108 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5108, expected_value: E12000003, label: geography} + - {column: D, row: 5108, expected_value: Males, label: sex} + - {column: E, row: 5108, expected_value: Self-employed, label: employment type} + - {column: J, row: 5108, expected_value: Value, label: measure} + - {column: L, row: 5109, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5110 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5110, expected_value: E12000003, label: geography} + - {column: D, row: 5110, expected_value: Males, label: sex} + - {column: E, row: 5110, expected_value: Self-employed, label: employment type} + - {column: J, row: 5110, expected_value: Value, label: measure} + - {column: L, row: 5111, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5112 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5112, expected_value: E12000003, label: geography} + - {column: D, row: 5112, expected_value: Males, label: sex} + - {column: E, row: 5112, expected_value: Self-employed, label: employment type} + - {column: J, row: 5112, expected_value: Value, label: measure} + - {column: L, row: 5113, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5043 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5043, expected_value: E12000003, label: geography} + - {column: D, row: 5043, expected_value: Males, label: sex} + - {column: E, row: 5043, expected_value: Self-employed, label: employment type} + - {column: J, row: 5043, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5045 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5045, expected_value: E12000003, label: geography} + - {column: D, row: 5045, expected_value: Males, label: sex} + - {column: E, row: 5045, expected_value: Self-employed, label: employment type} + - {column: J, row: 5045, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5047 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5047, expected_value: E12000003, label: geography} + - {column: D, row: 5047, expected_value: Males, label: sex} + - {column: E, row: 5047, expected_value: Self-employed, label: employment type} + - {column: J, row: 5047, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5049 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5049, expected_value: E12000003, label: geography} + - {column: D, row: 5049, expected_value: Males, label: sex} + - {column: E, row: 5049, expected_value: Self-employed, label: employment type} + - {column: J, row: 5049, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5051 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5051, expected_value: E12000003, label: geography} + - {column: D, row: 5051, expected_value: Males, label: sex} + - {column: E, row: 5051, expected_value: Self-employed, label: employment type} + - {column: J, row: 5051, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5053 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5053, expected_value: E12000003, label: geography} + - {column: D, row: 5053, expected_value: Males, label: sex} + - {column: E, row: 5053, expected_value: Self-employed, label: employment type} + - {column: J, row: 5053, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5055 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5055, expected_value: E12000003, label: geography} + - {column: D, row: 5055, expected_value: Males, label: sex} + - {column: E, row: 5055, expected_value: Self-employed, label: employment type} + - {column: J, row: 5055, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5059 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5059, expected_value: E12000003, label: geography} + - {column: D, row: 5059, expected_value: Males, label: sex} + - {column: E, row: 5059, expected_value: Self-employed, label: employment type} + - {column: J, row: 5059, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5061 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5061, expected_value: E12000003, label: geography} + - {column: D, row: 5061, expected_value: Males, label: sex} + - {column: E, row: 5061, expected_value: Self-employed, label: employment type} + - {column: J, row: 5061, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5069 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5069, expected_value: E12000003, label: geography} + - {column: D, row: 5069, expected_value: Males, label: sex} + - {column: E, row: 5069, expected_value: Self-employed, label: employment type} + - {column: J, row: 5069, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5071 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5071, expected_value: E12000003, label: geography} + - {column: D, row: 5071, expected_value: Males, label: sex} + - {column: E, row: 5071, expected_value: Self-employed, label: employment type} + - {column: J, row: 5071, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5079 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5079, expected_value: E12000003, label: geography} + - {column: D, row: 5079, expected_value: Males, label: sex} + - {column: E, row: 5079, expected_value: Self-employed, label: employment type} + - {column: J, row: 5079, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5081 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5081, expected_value: E12000003, label: geography} + - {column: D, row: 5081, expected_value: Males, label: sex} + - {column: E, row: 5081, expected_value: Self-employed, label: employment type} + - {column: J, row: 5081, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5083 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5083, expected_value: E12000003, label: geography} + - {column: D, row: 5083, expected_value: Males, label: sex} + - {column: E, row: 5083, expected_value: Self-employed, label: employment type} + - {column: J, row: 5083, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5085 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5085, expected_value: E12000003, label: geography} + - {column: D, row: 5085, expected_value: Males, label: sex} + - {column: E, row: 5085, expected_value: Self-employed, label: employment type} + - {column: J, row: 5085, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5087 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5087, expected_value: E12000003, label: geography} + - {column: D, row: 5087, expected_value: Males, label: sex} + - {column: E, row: 5087, expected_value: Self-employed, label: employment type} + - {column: J, row: 5087, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5089 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5089, expected_value: E12000003, label: geography} + - {column: D, row: 5089, expected_value: Males, label: sex} + - {column: E, row: 5089, expected_value: Self-employed, label: employment type} + - {column: J, row: 5089, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5091 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5091, expected_value: E12000003, label: geography} + - {column: D, row: 5091, expected_value: Males, label: sex} + - {column: E, row: 5091, expected_value: Self-employed, label: employment type} + - {column: J, row: 5091, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5097 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5097, expected_value: E12000003, label: geography} + - {column: D, row: 5097, expected_value: Males, label: sex} + - {column: E, row: 5097, expected_value: Self-employed, label: employment type} + - {column: J, row: 5097, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5099 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5099, expected_value: E12000003, label: geography} + - {column: D, row: 5099, expected_value: Males, label: sex} + - {column: E, row: 5099, expected_value: Self-employed, label: employment type} + - {column: J, row: 5099, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5103 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5103, expected_value: E12000003, label: geography} + - {column: D, row: 5103, expected_value: Males, label: sex} + - {column: E, row: 5103, expected_value: Self-employed, label: employment type} + - {column: J, row: 5103, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5105 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5105, expected_value: E12000003, label: geography} + - {column: D, row: 5105, expected_value: Males, label: sex} + - {column: E, row: 5105, expected_value: Self-employed, label: employment type} + - {column: J, row: 5105, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5107 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5107, expected_value: E12000003, label: geography} + - {column: D, row: 5107, expected_value: Males, label: sex} + - {column: E, row: 5107, expected_value: Self-employed, label: employment type} + - {column: J, row: 5107, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5109 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5109, expected_value: E12000003, label: geography} + - {column: D, row: 5109, expected_value: Males, label: sex} + - {column: E, row: 5109, expected_value: Self-employed, label: employment type} + - {column: J, row: 5109, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5111 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5111, expected_value: E12000003, label: geography} + - {column: D, row: 5111, expected_value: Males, label: sex} + - {column: E, row: 5111, expected_value: Self-employed, label: employment type} + - {column: J, row: 5111, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5113 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5113, expected_value: E12000003, label: geography} + - {column: D, row: 5113, expected_value: Males, label: sex} + - {column: E, row: 5113, expected_value: Self-employed, label: employment type} + - {column: J, row: 5113, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4682 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4682, expected_value: E12000003, label: geography} + - {column: D, row: 4682, expected_value: Females, label: sex} + - {column: E, row: 4682, expected_value: Total, label: employment type} + - {column: J, row: 4682, expected_value: Value, label: measure} + - {column: L, row: 4683, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4684 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4684, expected_value: E12000003, label: geography} + - {column: D, row: 4684, expected_value: Females, label: sex} + - {column: E, row: 4684, expected_value: Total, label: employment type} + - {column: J, row: 4684, expected_value: Value, label: measure} + - {column: L, row: 4685, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4686 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4686, expected_value: E12000003, label: geography} + - {column: D, row: 4686, expected_value: Females, label: sex} + - {column: E, row: 4686, expected_value: Total, label: employment type} + - {column: J, row: 4686, expected_value: Value, label: measure} + - {column: L, row: 4687, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4688 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4688, expected_value: E12000003, label: geography} + - {column: D, row: 4688, expected_value: Females, label: sex} + - {column: E, row: 4688, expected_value: Total, label: employment type} + - {column: J, row: 4688, expected_value: Value, label: measure} + - {column: L, row: 4689, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4690 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4690, expected_value: E12000003, label: geography} + - {column: D, row: 4690, expected_value: Females, label: sex} + - {column: E, row: 4690, expected_value: Total, label: employment type} + - {column: J, row: 4690, expected_value: Value, label: measure} + - {column: L, row: 4691, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4692 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4692, expected_value: E12000003, label: geography} + - {column: D, row: 4692, expected_value: Females, label: sex} + - {column: E, row: 4692, expected_value: Total, label: employment type} + - {column: J, row: 4692, expected_value: Value, label: measure} + - {column: L, row: 4693, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4694 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4694, expected_value: E12000003, label: geography} + - {column: D, row: 4694, expected_value: Females, label: sex} + - {column: E, row: 4694, expected_value: Total, label: employment type} + - {column: J, row: 4694, expected_value: Value, label: measure} + - {column: L, row: 4695, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4696 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4696, expected_value: E12000003, label: geography} + - {column: D, row: 4696, expected_value: Females, label: sex} + - {column: E, row: 4696, expected_value: Total, label: employment type} + - {column: J, row: 4696, expected_value: Value, label: measure} + - {column: L, row: 4697, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4698 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4698, expected_value: E12000003, label: geography} + - {column: D, row: 4698, expected_value: Females, label: sex} + - {column: E, row: 4698, expected_value: Total, label: employment type} + - {column: J, row: 4698, expected_value: Value, label: measure} + - {column: L, row: 4699, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4700 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4700, expected_value: E12000003, label: geography} + - {column: D, row: 4700, expected_value: Females, label: sex} + - {column: E, row: 4700, expected_value: Total, label: employment type} + - {column: J, row: 4700, expected_value: Value, label: measure} + - {column: L, row: 4701, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4702 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4702, expected_value: E12000003, label: geography} + - {column: D, row: 4702, expected_value: Females, label: sex} + - {column: E, row: 4702, expected_value: Total, label: employment type} + - {column: J, row: 4702, expected_value: Value, label: measure} + - {column: L, row: 4703, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4704 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4704, expected_value: E12000003, label: geography} + - {column: D, row: 4704, expected_value: Females, label: sex} + - {column: E, row: 4704, expected_value: Total, label: employment type} + - {column: J, row: 4704, expected_value: Value, label: measure} + - {column: L, row: 4705, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4706 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4706, expected_value: E12000003, label: geography} + - {column: D, row: 4706, expected_value: Females, label: sex} + - {column: E, row: 4706, expected_value: Total, label: employment type} + - {column: J, row: 4706, expected_value: Value, label: measure} + - {column: L, row: 4707, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4708 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4708, expected_value: E12000003, label: geography} + - {column: D, row: 4708, expected_value: Females, label: sex} + - {column: E, row: 4708, expected_value: Total, label: employment type} + - {column: J, row: 4708, expected_value: Value, label: measure} + - {column: L, row: 4709, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4710 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4710, expected_value: E12000003, label: geography} + - {column: D, row: 4710, expected_value: Females, label: sex} + - {column: E, row: 4710, expected_value: Total, label: employment type} + - {column: J, row: 4710, expected_value: Value, label: measure} + - {column: L, row: 4711, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4712 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4712, expected_value: E12000003, label: geography} + - {column: D, row: 4712, expected_value: Females, label: sex} + - {column: E, row: 4712, expected_value: Total, label: employment type} + - {column: J, row: 4712, expected_value: Value, label: measure} + - {column: L, row: 4713, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4714 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4714, expected_value: E12000003, label: geography} + - {column: D, row: 4714, expected_value: Females, label: sex} + - {column: E, row: 4714, expected_value: Total, label: employment type} + - {column: J, row: 4714, expected_value: Value, label: measure} + - {column: L, row: 4715, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4716 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4716, expected_value: E12000003, label: geography} + - {column: D, row: 4716, expected_value: Females, label: sex} + - {column: E, row: 4716, expected_value: Total, label: employment type} + - {column: J, row: 4716, expected_value: Value, label: measure} + - {column: L, row: 4717, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4718 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4718, expected_value: E12000003, label: geography} + - {column: D, row: 4718, expected_value: Females, label: sex} + - {column: E, row: 4718, expected_value: Total, label: employment type} + - {column: J, row: 4718, expected_value: Value, label: measure} + - {column: L, row: 4719, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4720 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4720, expected_value: E12000003, label: geography} + - {column: D, row: 4720, expected_value: Females, label: sex} + - {column: E, row: 4720, expected_value: Total, label: employment type} + - {column: J, row: 4720, expected_value: Value, label: measure} + - {column: L, row: 4721, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4722 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4722, expected_value: E12000003, label: geography} + - {column: D, row: 4722, expected_value: Females, label: sex} + - {column: E, row: 4722, expected_value: Total, label: employment type} + - {column: J, row: 4722, expected_value: Value, label: measure} + - {column: L, row: 4723, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4724 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4724, expected_value: E12000003, label: geography} + - {column: D, row: 4724, expected_value: Females, label: sex} + - {column: E, row: 4724, expected_value: Total, label: employment type} + - {column: J, row: 4724, expected_value: Value, label: measure} + - {column: L, row: 4725, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4726 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4726, expected_value: E12000003, label: geography} + - {column: D, row: 4726, expected_value: Females, label: sex} + - {column: E, row: 4726, expected_value: Total, label: employment type} + - {column: J, row: 4726, expected_value: Value, label: measure} + - {column: L, row: 4727, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4728 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4728, expected_value: E12000003, label: geography} + - {column: D, row: 4728, expected_value: Females, label: sex} + - {column: E, row: 4728, expected_value: Total, label: employment type} + - {column: J, row: 4728, expected_value: Value, label: measure} + - {column: L, row: 4729, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4730 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4730, expected_value: E12000003, label: geography} + - {column: D, row: 4730, expected_value: Females, label: sex} + - {column: E, row: 4730, expected_value: Total, label: employment type} + - {column: J, row: 4730, expected_value: Value, label: measure} + - {column: L, row: 4731, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4732 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4732, expected_value: E12000003, label: geography} + - {column: D, row: 4732, expected_value: Females, label: sex} + - {column: E, row: 4732, expected_value: Total, label: employment type} + - {column: J, row: 4732, expected_value: Value, label: measure} + - {column: L, row: 4733, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4736 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4736, expected_value: E12000003, label: geography} + - {column: D, row: 4736, expected_value: Females, label: sex} + - {column: E, row: 4736, expected_value: Total, label: employment type} + - {column: J, row: 4736, expected_value: Value, label: measure} + - {column: L, row: 4737, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4738 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4738, expected_value: E12000003, label: geography} + - {column: D, row: 4738, expected_value: Females, label: sex} + - {column: E, row: 4738, expected_value: Total, label: employment type} + - {column: J, row: 4738, expected_value: Value, label: measure} + - {column: L, row: 4739, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4740 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4740, expected_value: E12000003, label: geography} + - {column: D, row: 4740, expected_value: Females, label: sex} + - {column: E, row: 4740, expected_value: Total, label: employment type} + - {column: J, row: 4740, expected_value: Value, label: measure} + - {column: L, row: 4741, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4742 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4742, expected_value: E12000003, label: geography} + - {column: D, row: 4742, expected_value: Females, label: sex} + - {column: E, row: 4742, expected_value: Total, label: employment type} + - {column: J, row: 4742, expected_value: Value, label: measure} + - {column: L, row: 4743, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4744 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4744, expected_value: E12000003, label: geography} + - {column: D, row: 4744, expected_value: Females, label: sex} + - {column: E, row: 4744, expected_value: Total, label: employment type} + - {column: J, row: 4744, expected_value: Value, label: measure} + - {column: L, row: 4745, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4746 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4746, expected_value: E12000003, label: geography} + - {column: D, row: 4746, expected_value: Females, label: sex} + - {column: E, row: 4746, expected_value: Total, label: employment type} + - {column: J, row: 4746, expected_value: Value, label: measure} + - {column: L, row: 4747, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4748 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4748, expected_value: E12000003, label: geography} + - {column: D, row: 4748, expected_value: Females, label: sex} + - {column: E, row: 4748, expected_value: Total, label: employment type} + - {column: J, row: 4748, expected_value: Value, label: measure} + - {column: L, row: 4749, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4750 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4750, expected_value: E12000003, label: geography} + - {column: D, row: 4750, expected_value: Females, label: sex} + - {column: E, row: 4750, expected_value: Total, label: employment type} + - {column: J, row: 4750, expected_value: Value, label: measure} + - {column: L, row: 4751, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4752 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4752, expected_value: E12000003, label: geography} + - {column: D, row: 4752, expected_value: Females, label: sex} + - {column: E, row: 4752, expected_value: Total, label: employment type} + - {column: J, row: 4752, expected_value: Value, label: measure} + - {column: L, row: 4753, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4683 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4683, expected_value: E12000003, label: geography} + - {column: D, row: 4683, expected_value: Females, label: sex} + - {column: E, row: 4683, expected_value: Total, label: employment type} + - {column: J, row: 4683, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4685 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4685, expected_value: E12000003, label: geography} + - {column: D, row: 4685, expected_value: Females, label: sex} + - {column: E, row: 4685, expected_value: Total, label: employment type} + - {column: J, row: 4685, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4687 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4687, expected_value: E12000003, label: geography} + - {column: D, row: 4687, expected_value: Females, label: sex} + - {column: E, row: 4687, expected_value: Total, label: employment type} + - {column: J, row: 4687, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4689 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4689, expected_value: E12000003, label: geography} + - {column: D, row: 4689, expected_value: Females, label: sex} + - {column: E, row: 4689, expected_value: Total, label: employment type} + - {column: J, row: 4689, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4691 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4691, expected_value: E12000003, label: geography} + - {column: D, row: 4691, expected_value: Females, label: sex} + - {column: E, row: 4691, expected_value: Total, label: employment type} + - {column: J, row: 4691, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4693 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4693, expected_value: E12000003, label: geography} + - {column: D, row: 4693, expected_value: Females, label: sex} + - {column: E, row: 4693, expected_value: Total, label: employment type} + - {column: J, row: 4693, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4695 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4695, expected_value: E12000003, label: geography} + - {column: D, row: 4695, expected_value: Females, label: sex} + - {column: E, row: 4695, expected_value: Total, label: employment type} + - {column: J, row: 4695, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4697 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4697, expected_value: E12000003, label: geography} + - {column: D, row: 4697, expected_value: Females, label: sex} + - {column: E, row: 4697, expected_value: Total, label: employment type} + - {column: J, row: 4697, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4699 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4699, expected_value: E12000003, label: geography} + - {column: D, row: 4699, expected_value: Females, label: sex} + - {column: E, row: 4699, expected_value: Total, label: employment type} + - {column: J, row: 4699, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4701 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4701, expected_value: E12000003, label: geography} + - {column: D, row: 4701, expected_value: Females, label: sex} + - {column: E, row: 4701, expected_value: Total, label: employment type} + - {column: J, row: 4701, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4703 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4703, expected_value: E12000003, label: geography} + - {column: D, row: 4703, expected_value: Females, label: sex} + - {column: E, row: 4703, expected_value: Total, label: employment type} + - {column: J, row: 4703, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4705 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4705, expected_value: E12000003, label: geography} + - {column: D, row: 4705, expected_value: Females, label: sex} + - {column: E, row: 4705, expected_value: Total, label: employment type} + - {column: J, row: 4705, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4707 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4707, expected_value: E12000003, label: geography} + - {column: D, row: 4707, expected_value: Females, label: sex} + - {column: E, row: 4707, expected_value: Total, label: employment type} + - {column: J, row: 4707, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4709 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4709, expected_value: E12000003, label: geography} + - {column: D, row: 4709, expected_value: Females, label: sex} + - {column: E, row: 4709, expected_value: Total, label: employment type} + - {column: J, row: 4709, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4711 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4711, expected_value: E12000003, label: geography} + - {column: D, row: 4711, expected_value: Females, label: sex} + - {column: E, row: 4711, expected_value: Total, label: employment type} + - {column: J, row: 4711, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4713 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4713, expected_value: E12000003, label: geography} + - {column: D, row: 4713, expected_value: Females, label: sex} + - {column: E, row: 4713, expected_value: Total, label: employment type} + - {column: J, row: 4713, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4715 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4715, expected_value: E12000003, label: geography} + - {column: D, row: 4715, expected_value: Females, label: sex} + - {column: E, row: 4715, expected_value: Total, label: employment type} + - {column: J, row: 4715, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4717 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4717, expected_value: E12000003, label: geography} + - {column: D, row: 4717, expected_value: Females, label: sex} + - {column: E, row: 4717, expected_value: Total, label: employment type} + - {column: J, row: 4717, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4719 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4719, expected_value: E12000003, label: geography} + - {column: D, row: 4719, expected_value: Females, label: sex} + - {column: E, row: 4719, expected_value: Total, label: employment type} + - {column: J, row: 4719, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4727 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4727, expected_value: E12000003, label: geography} + - {column: D, row: 4727, expected_value: Females, label: sex} + - {column: E, row: 4727, expected_value: Total, label: employment type} + - {column: J, row: 4727, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4729 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4729, expected_value: E12000003, label: geography} + - {column: D, row: 4729, expected_value: Females, label: sex} + - {column: E, row: 4729, expected_value: Total, label: employment type} + - {column: J, row: 4729, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4731 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4731, expected_value: E12000003, label: geography} + - {column: D, row: 4731, expected_value: Females, label: sex} + - {column: E, row: 4731, expected_value: Total, label: employment type} + - {column: J, row: 4731, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4733 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4733, expected_value: E12000003, label: geography} + - {column: D, row: 4733, expected_value: Females, label: sex} + - {column: E, row: 4733, expected_value: Total, label: employment type} + - {column: J, row: 4733, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4737 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4737, expected_value: E12000003, label: geography} + - {column: D, row: 4737, expected_value: Females, label: sex} + - {column: E, row: 4737, expected_value: Total, label: employment type} + - {column: J, row: 4737, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4739 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4739, expected_value: E12000003, label: geography} + - {column: D, row: 4739, expected_value: Females, label: sex} + - {column: E, row: 4739, expected_value: Total, label: employment type} + - {column: J, row: 4739, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4741 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4741, expected_value: E12000003, label: geography} + - {column: D, row: 4741, expected_value: Females, label: sex} + - {column: E, row: 4741, expected_value: Total, label: employment type} + - {column: J, row: 4741, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4743 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4743, expected_value: E12000003, label: geography} + - {column: D, row: 4743, expected_value: Females, label: sex} + - {column: E, row: 4743, expected_value: Total, label: employment type} + - {column: J, row: 4743, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4745 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4745, expected_value: E12000003, label: geography} + - {column: D, row: 4745, expected_value: Females, label: sex} + - {column: E, row: 4745, expected_value: Total, label: employment type} + - {column: J, row: 4745, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4747 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4747, expected_value: E12000003, label: geography} + - {column: D, row: 4747, expected_value: Females, label: sex} + - {column: E, row: 4747, expected_value: Total, label: employment type} + - {column: J, row: 4747, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4749 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4749, expected_value: E12000003, label: geography} + - {column: D, row: 4749, expected_value: Females, label: sex} + - {column: E, row: 4749, expected_value: Total, label: employment type} + - {column: J, row: 4749, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4751 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4751, expected_value: E12000003, label: geography} + - {column: D, row: 4751, expected_value: Females, label: sex} + - {column: E, row: 4751, expected_value: Total, label: employment type} + - {column: J, row: 4751, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4753 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4753, expected_value: E12000003, label: geography} + - {column: D, row: 4753, expected_value: Females, label: sex} + - {column: E, row: 4753, expected_value: Total, label: employment type} + - {column: J, row: 4753, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4898 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4898, expected_value: E12000003, label: geography} + - {column: D, row: 4898, expected_value: Females, label: sex} + - {column: E, row: 4898, expected_value: Employee, label: employment type} + - {column: J, row: 4898, expected_value: Value, label: measure} + - {column: L, row: 4899, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4900 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4900, expected_value: E12000003, label: geography} + - {column: D, row: 4900, expected_value: Females, label: sex} + - {column: E, row: 4900, expected_value: Employee, label: employment type} + - {column: J, row: 4900, expected_value: Value, label: measure} + - {column: L, row: 4901, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4902 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4902, expected_value: E12000003, label: geography} + - {column: D, row: 4902, expected_value: Females, label: sex} + - {column: E, row: 4902, expected_value: Employee, label: employment type} + - {column: J, row: 4902, expected_value: Value, label: measure} + - {column: L, row: 4903, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4904 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4904, expected_value: E12000003, label: geography} + - {column: D, row: 4904, expected_value: Females, label: sex} + - {column: E, row: 4904, expected_value: Employee, label: employment type} + - {column: J, row: 4904, expected_value: Value, label: measure} + - {column: L, row: 4905, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4906 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4906, expected_value: E12000003, label: geography} + - {column: D, row: 4906, expected_value: Females, label: sex} + - {column: E, row: 4906, expected_value: Employee, label: employment type} + - {column: J, row: 4906, expected_value: Value, label: measure} + - {column: L, row: 4907, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4908 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4908, expected_value: E12000003, label: geography} + - {column: D, row: 4908, expected_value: Females, label: sex} + - {column: E, row: 4908, expected_value: Employee, label: employment type} + - {column: J, row: 4908, expected_value: Value, label: measure} + - {column: L, row: 4909, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4910 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4910, expected_value: E12000003, label: geography} + - {column: D, row: 4910, expected_value: Females, label: sex} + - {column: E, row: 4910, expected_value: Employee, label: employment type} + - {column: J, row: 4910, expected_value: Value, label: measure} + - {column: L, row: 4911, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4912 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4912, expected_value: E12000003, label: geography} + - {column: D, row: 4912, expected_value: Females, label: sex} + - {column: E, row: 4912, expected_value: Employee, label: employment type} + - {column: J, row: 4912, expected_value: Value, label: measure} + - {column: L, row: 4913, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4914 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4914, expected_value: E12000003, label: geography} + - {column: D, row: 4914, expected_value: Females, label: sex} + - {column: E, row: 4914, expected_value: Employee, label: employment type} + - {column: J, row: 4914, expected_value: Value, label: measure} + - {column: L, row: 4915, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4916 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4916, expected_value: E12000003, label: geography} + - {column: D, row: 4916, expected_value: Females, label: sex} + - {column: E, row: 4916, expected_value: Employee, label: employment type} + - {column: J, row: 4916, expected_value: Value, label: measure} + - {column: L, row: 4917, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4918 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4918, expected_value: E12000003, label: geography} + - {column: D, row: 4918, expected_value: Females, label: sex} + - {column: E, row: 4918, expected_value: Employee, label: employment type} + - {column: J, row: 4918, expected_value: Value, label: measure} + - {column: L, row: 4919, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4920 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4920, expected_value: E12000003, label: geography} + - {column: D, row: 4920, expected_value: Females, label: sex} + - {column: E, row: 4920, expected_value: Employee, label: employment type} + - {column: J, row: 4920, expected_value: Value, label: measure} + - {column: L, row: 4921, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4922 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4922, expected_value: E12000003, label: geography} + - {column: D, row: 4922, expected_value: Females, label: sex} + - {column: E, row: 4922, expected_value: Employee, label: employment type} + - {column: J, row: 4922, expected_value: Value, label: measure} + - {column: L, row: 4923, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4924 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4924, expected_value: E12000003, label: geography} + - {column: D, row: 4924, expected_value: Females, label: sex} + - {column: E, row: 4924, expected_value: Employee, label: employment type} + - {column: J, row: 4924, expected_value: Value, label: measure} + - {column: L, row: 4925, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4926 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4926, expected_value: E12000003, label: geography} + - {column: D, row: 4926, expected_value: Females, label: sex} + - {column: E, row: 4926, expected_value: Employee, label: employment type} + - {column: J, row: 4926, expected_value: Value, label: measure} + - {column: L, row: 4927, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4928 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4928, expected_value: E12000003, label: geography} + - {column: D, row: 4928, expected_value: Females, label: sex} + - {column: E, row: 4928, expected_value: Employee, label: employment type} + - {column: J, row: 4928, expected_value: Value, label: measure} + - {column: L, row: 4929, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4930 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4930, expected_value: E12000003, label: geography} + - {column: D, row: 4930, expected_value: Females, label: sex} + - {column: E, row: 4930, expected_value: Employee, label: employment type} + - {column: J, row: 4930, expected_value: Value, label: measure} + - {column: L, row: 4931, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4932 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4932, expected_value: E12000003, label: geography} + - {column: D, row: 4932, expected_value: Females, label: sex} + - {column: E, row: 4932, expected_value: Employee, label: employment type} + - {column: J, row: 4932, expected_value: Value, label: measure} + - {column: L, row: 4933, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4934 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4934, expected_value: E12000003, label: geography} + - {column: D, row: 4934, expected_value: Females, label: sex} + - {column: E, row: 4934, expected_value: Employee, label: employment type} + - {column: J, row: 4934, expected_value: Value, label: measure} + - {column: L, row: 4935, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4936 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4936, expected_value: E12000003, label: geography} + - {column: D, row: 4936, expected_value: Females, label: sex} + - {column: E, row: 4936, expected_value: Employee, label: employment type} + - {column: J, row: 4936, expected_value: Value, label: measure} + - {column: L, row: 4937, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4938 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4938, expected_value: E12000003, label: geography} + - {column: D, row: 4938, expected_value: Females, label: sex} + - {column: E, row: 4938, expected_value: Employee, label: employment type} + - {column: J, row: 4938, expected_value: Value, label: measure} + - {column: L, row: 4939, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4940 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4940, expected_value: E12000003, label: geography} + - {column: D, row: 4940, expected_value: Females, label: sex} + - {column: E, row: 4940, expected_value: Employee, label: employment type} + - {column: J, row: 4940, expected_value: Value, label: measure} + - {column: L, row: 4941, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4942 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4942, expected_value: E12000003, label: geography} + - {column: D, row: 4942, expected_value: Females, label: sex} + - {column: E, row: 4942, expected_value: Employee, label: employment type} + - {column: J, row: 4942, expected_value: Value, label: measure} + - {column: L, row: 4943, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4944 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4944, expected_value: E12000003, label: geography} + - {column: D, row: 4944, expected_value: Females, label: sex} + - {column: E, row: 4944, expected_value: Employee, label: employment type} + - {column: J, row: 4944, expected_value: Value, label: measure} + - {column: L, row: 4945, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4946 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4946, expected_value: E12000003, label: geography} + - {column: D, row: 4946, expected_value: Females, label: sex} + - {column: E, row: 4946, expected_value: Employee, label: employment type} + - {column: J, row: 4946, expected_value: Value, label: measure} + - {column: L, row: 4947, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4948 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4948, expected_value: E12000003, label: geography} + - {column: D, row: 4948, expected_value: Females, label: sex} + - {column: E, row: 4948, expected_value: Employee, label: employment type} + - {column: J, row: 4948, expected_value: Value, label: measure} + - {column: L, row: 4949, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4952 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4952, expected_value: E12000003, label: geography} + - {column: D, row: 4952, expected_value: Females, label: sex} + - {column: E, row: 4952, expected_value: Employee, label: employment type} + - {column: J, row: 4952, expected_value: Value, label: measure} + - {column: L, row: 4953, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4954 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4954, expected_value: E12000003, label: geography} + - {column: D, row: 4954, expected_value: Females, label: sex} + - {column: E, row: 4954, expected_value: Employee, label: employment type} + - {column: J, row: 4954, expected_value: Value, label: measure} + - {column: L, row: 4955, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4956 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4956, expected_value: E12000003, label: geography} + - {column: D, row: 4956, expected_value: Females, label: sex} + - {column: E, row: 4956, expected_value: Employee, label: employment type} + - {column: J, row: 4956, expected_value: Value, label: measure} + - {column: L, row: 4957, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4958 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4958, expected_value: E12000003, label: geography} + - {column: D, row: 4958, expected_value: Females, label: sex} + - {column: E, row: 4958, expected_value: Employee, label: employment type} + - {column: J, row: 4958, expected_value: Value, label: measure} + - {column: L, row: 4959, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4960 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4960, expected_value: E12000003, label: geography} + - {column: D, row: 4960, expected_value: Females, label: sex} + - {column: E, row: 4960, expected_value: Employee, label: employment type} + - {column: J, row: 4960, expected_value: Value, label: measure} + - {column: L, row: 4961, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4962 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4962, expected_value: E12000003, label: geography} + - {column: D, row: 4962, expected_value: Females, label: sex} + - {column: E, row: 4962, expected_value: Employee, label: employment type} + - {column: J, row: 4962, expected_value: Value, label: measure} + - {column: L, row: 4963, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4964 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4964, expected_value: E12000003, label: geography} + - {column: D, row: 4964, expected_value: Females, label: sex} + - {column: E, row: 4964, expected_value: Employee, label: employment type} + - {column: J, row: 4964, expected_value: Value, label: measure} + - {column: L, row: 4965, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4966 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4966, expected_value: E12000003, label: geography} + - {column: D, row: 4966, expected_value: Females, label: sex} + - {column: E, row: 4966, expected_value: Employee, label: employment type} + - {column: J, row: 4966, expected_value: Value, label: measure} + - {column: L, row: 4967, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4968 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4968, expected_value: E12000003, label: geography} + - {column: D, row: 4968, expected_value: Females, label: sex} + - {column: E, row: 4968, expected_value: Employee, label: employment type} + - {column: J, row: 4968, expected_value: Value, label: measure} + - {column: L, row: 4969, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4899 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4899, expected_value: E12000003, label: geography} + - {column: D, row: 4899, expected_value: Females, label: sex} + - {column: E, row: 4899, expected_value: Employee, label: employment type} + - {column: J, row: 4899, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4901 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4901, expected_value: E12000003, label: geography} + - {column: D, row: 4901, expected_value: Females, label: sex} + - {column: E, row: 4901, expected_value: Employee, label: employment type} + - {column: J, row: 4901, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4903 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4903, expected_value: E12000003, label: geography} + - {column: D, row: 4903, expected_value: Females, label: sex} + - {column: E, row: 4903, expected_value: Employee, label: employment type} + - {column: J, row: 4903, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4905 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4905, expected_value: E12000003, label: geography} + - {column: D, row: 4905, expected_value: Females, label: sex} + - {column: E, row: 4905, expected_value: Employee, label: employment type} + - {column: J, row: 4905, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4907 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4907, expected_value: E12000003, label: geography} + - {column: D, row: 4907, expected_value: Females, label: sex} + - {column: E, row: 4907, expected_value: Employee, label: employment type} + - {column: J, row: 4907, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4909 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4909, expected_value: E12000003, label: geography} + - {column: D, row: 4909, expected_value: Females, label: sex} + - {column: E, row: 4909, expected_value: Employee, label: employment type} + - {column: J, row: 4909, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4911 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4911, expected_value: E12000003, label: geography} + - {column: D, row: 4911, expected_value: Females, label: sex} + - {column: E, row: 4911, expected_value: Employee, label: employment type} + - {column: J, row: 4911, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4913 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4913, expected_value: E12000003, label: geography} + - {column: D, row: 4913, expected_value: Females, label: sex} + - {column: E, row: 4913, expected_value: Employee, label: employment type} + - {column: J, row: 4913, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4915 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4915, expected_value: E12000003, label: geography} + - {column: D, row: 4915, expected_value: Females, label: sex} + - {column: E, row: 4915, expected_value: Employee, label: employment type} + - {column: J, row: 4915, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4917 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4917, expected_value: E12000003, label: geography} + - {column: D, row: 4917, expected_value: Females, label: sex} + - {column: E, row: 4917, expected_value: Employee, label: employment type} + - {column: J, row: 4917, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4919 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4919, expected_value: E12000003, label: geography} + - {column: D, row: 4919, expected_value: Females, label: sex} + - {column: E, row: 4919, expected_value: Employee, label: employment type} + - {column: J, row: 4919, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4921 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4921, expected_value: E12000003, label: geography} + - {column: D, row: 4921, expected_value: Females, label: sex} + - {column: E, row: 4921, expected_value: Employee, label: employment type} + - {column: J, row: 4921, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4923 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4923, expected_value: E12000003, label: geography} + - {column: D, row: 4923, expected_value: Females, label: sex} + - {column: E, row: 4923, expected_value: Employee, label: employment type} + - {column: J, row: 4923, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4925 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4925, expected_value: E12000003, label: geography} + - {column: D, row: 4925, expected_value: Females, label: sex} + - {column: E, row: 4925, expected_value: Employee, label: employment type} + - {column: J, row: 4925, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4927 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4927, expected_value: E12000003, label: geography} + - {column: D, row: 4927, expected_value: Females, label: sex} + - {column: E, row: 4927, expected_value: Employee, label: employment type} + - {column: J, row: 4927, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4929 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4929, expected_value: E12000003, label: geography} + - {column: D, row: 4929, expected_value: Females, label: sex} + - {column: E, row: 4929, expected_value: Employee, label: employment type} + - {column: J, row: 4929, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4931 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4931, expected_value: E12000003, label: geography} + - {column: D, row: 4931, expected_value: Females, label: sex} + - {column: E, row: 4931, expected_value: Employee, label: employment type} + - {column: J, row: 4931, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4933 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4933, expected_value: E12000003, label: geography} + - {column: D, row: 4933, expected_value: Females, label: sex} + - {column: E, row: 4933, expected_value: Employee, label: employment type} + - {column: J, row: 4933, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4935 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4935, expected_value: E12000003, label: geography} + - {column: D, row: 4935, expected_value: Females, label: sex} + - {column: E, row: 4935, expected_value: Employee, label: employment type} + - {column: J, row: 4935, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4943 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4943, expected_value: E12000003, label: geography} + - {column: D, row: 4943, expected_value: Females, label: sex} + - {column: E, row: 4943, expected_value: Employee, label: employment type} + - {column: J, row: 4943, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4945 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4945, expected_value: E12000003, label: geography} + - {column: D, row: 4945, expected_value: Females, label: sex} + - {column: E, row: 4945, expected_value: Employee, label: employment type} + - {column: J, row: 4945, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4947 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4947, expected_value: E12000003, label: geography} + - {column: D, row: 4947, expected_value: Females, label: sex} + - {column: E, row: 4947, expected_value: Employee, label: employment type} + - {column: J, row: 4947, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4949 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4949, expected_value: E12000003, label: geography} + - {column: D, row: 4949, expected_value: Females, label: sex} + - {column: E, row: 4949, expected_value: Employee, label: employment type} + - {column: J, row: 4949, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4953 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4953, expected_value: E12000003, label: geography} + - {column: D, row: 4953, expected_value: Females, label: sex} + - {column: E, row: 4953, expected_value: Employee, label: employment type} + - {column: J, row: 4953, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4955 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4955, expected_value: E12000003, label: geography} + - {column: D, row: 4955, expected_value: Females, label: sex} + - {column: E, row: 4955, expected_value: Employee, label: employment type} + - {column: J, row: 4955, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4957 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4957, expected_value: E12000003, label: geography} + - {column: D, row: 4957, expected_value: Females, label: sex} + - {column: E, row: 4957, expected_value: Employee, label: employment type} + - {column: J, row: 4957, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4959 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4959, expected_value: E12000003, label: geography} + - {column: D, row: 4959, expected_value: Females, label: sex} + - {column: E, row: 4959, expected_value: Employee, label: employment type} + - {column: J, row: 4959, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4961 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4961, expected_value: E12000003, label: geography} + - {column: D, row: 4961, expected_value: Females, label: sex} + - {column: E, row: 4961, expected_value: Employee, label: employment type} + - {column: J, row: 4961, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4963 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4963, expected_value: E12000003, label: geography} + - {column: D, row: 4963, expected_value: Females, label: sex} + - {column: E, row: 4963, expected_value: Employee, label: employment type} + - {column: J, row: 4963, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4965 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4965, expected_value: E12000003, label: geography} + - {column: D, row: 4965, expected_value: Females, label: sex} + - {column: E, row: 4965, expected_value: Employee, label: employment type} + - {column: J, row: 4965, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4967 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4967, expected_value: E12000003, label: geography} + - {column: D, row: 4967, expected_value: Females, label: sex} + - {column: E, row: 4967, expected_value: Employee, label: employment type} + - {column: J, row: 4967, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4969 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4969, expected_value: E12000003, label: geography} + - {column: D, row: 4969, expected_value: Females, label: sex} + - {column: E, row: 4969, expected_value: Employee, label: employment type} + - {column: J, row: 4969, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5114 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5114, expected_value: E12000003, label: geography} + - {column: D, row: 5114, expected_value: Females, label: sex} + - {column: E, row: 5114, expected_value: Self-employed, label: employment type} + - {column: J, row: 5114, expected_value: Value, label: measure} + - {column: L, row: 5115, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5116 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5116, expected_value: E12000003, label: geography} + - {column: D, row: 5116, expected_value: Females, label: sex} + - {column: E, row: 5116, expected_value: Self-employed, label: employment type} + - {column: J, row: 5116, expected_value: Value, label: measure} + - {column: L, row: 5117, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5118 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5118, expected_value: E12000003, label: geography} + - {column: D, row: 5118, expected_value: Females, label: sex} + - {column: E, row: 5118, expected_value: Self-employed, label: employment type} + - {column: J, row: 5118, expected_value: Value, label: measure} + - {column: L, row: 5119, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5120 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5120, expected_value: E12000003, label: geography} + - {column: D, row: 5120, expected_value: Females, label: sex} + - {column: E, row: 5120, expected_value: Self-employed, label: employment type} + - {column: J, row: 5120, expected_value: Value, label: measure} + - {column: L, row: 5121, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5122 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5122, expected_value: E12000003, label: geography} + - {column: D, row: 5122, expected_value: Females, label: sex} + - {column: E, row: 5122, expected_value: Self-employed, label: employment type} + - {column: J, row: 5122, expected_value: Value, label: measure} + - {column: L, row: 5123, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5124 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5124, expected_value: E12000003, label: geography} + - {column: D, row: 5124, expected_value: Females, label: sex} + - {column: E, row: 5124, expected_value: Self-employed, label: employment type} + - {column: J, row: 5124, expected_value: Value, label: measure} + - {column: L, row: 5125, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5126 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5126, expected_value: E12000003, label: geography} + - {column: D, row: 5126, expected_value: Females, label: sex} + - {column: E, row: 5126, expected_value: Self-employed, label: employment type} + - {column: J, row: 5126, expected_value: Value, label: measure} + - {column: L, row: 5127, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5128 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5128, expected_value: E12000003, label: geography} + - {column: D, row: 5128, expected_value: Females, label: sex} + - {column: E, row: 5128, expected_value: Self-employed, label: employment type} + - {column: J, row: 5128, expected_value: Value, label: measure} + - {column: L, row: 5129, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5130 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5130, expected_value: E12000003, label: geography} + - {column: D, row: 5130, expected_value: Females, label: sex} + - {column: E, row: 5130, expected_value: Self-employed, label: employment type} + - {column: J, row: 5130, expected_value: Value, label: measure} + - {column: L, row: 5131, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5132 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5132, expected_value: E12000003, label: geography} + - {column: D, row: 5132, expected_value: Females, label: sex} + - {column: E, row: 5132, expected_value: Self-employed, label: employment type} + - {column: J, row: 5132, expected_value: Value, label: measure} + - {column: L, row: 5133, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5134 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5134, expected_value: E12000003, label: geography} + - {column: D, row: 5134, expected_value: Females, label: sex} + - {column: E, row: 5134, expected_value: Self-employed, label: employment type} + - {column: J, row: 5134, expected_value: Value, label: measure} + - {column: L, row: 5135, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5136 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5136, expected_value: E12000003, label: geography} + - {column: D, row: 5136, expected_value: Females, label: sex} + - {column: E, row: 5136, expected_value: Self-employed, label: employment type} + - {column: J, row: 5136, expected_value: Value, label: measure} + - {column: L, row: 5137, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5140 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5140, expected_value: E12000003, label: geography} + - {column: D, row: 5140, expected_value: Females, label: sex} + - {column: E, row: 5140, expected_value: Self-employed, label: employment type} + - {column: J, row: 5140, expected_value: Value, label: measure} + - {column: L, row: 5141, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5142 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5142, expected_value: E12000003, label: geography} + - {column: D, row: 5142, expected_value: Females, label: sex} + - {column: E, row: 5142, expected_value: Self-employed, label: employment type} + - {column: J, row: 5142, expected_value: Value, label: measure} + - {column: L, row: 5143, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5144 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5144, expected_value: E12000003, label: geography} + - {column: D, row: 5144, expected_value: Females, label: sex} + - {column: E, row: 5144, expected_value: Self-employed, label: employment type} + - {column: J, row: 5144, expected_value: Value, label: measure} + - {column: L, row: 5145, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5146 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5146, expected_value: E12000003, label: geography} + - {column: D, row: 5146, expected_value: Females, label: sex} + - {column: E, row: 5146, expected_value: Self-employed, label: employment type} + - {column: J, row: 5146, expected_value: Value, label: measure} + - {column: L, row: 5147, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5148 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5148, expected_value: E12000003, label: geography} + - {column: D, row: 5148, expected_value: Females, label: sex} + - {column: E, row: 5148, expected_value: Self-employed, label: employment type} + - {column: J, row: 5148, expected_value: Value, label: measure} + - {column: L, row: 5149, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5150 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5150, expected_value: E12000003, label: geography} + - {column: D, row: 5150, expected_value: Females, label: sex} + - {column: E, row: 5150, expected_value: Self-employed, label: employment type} + - {column: J, row: 5150, expected_value: Value, label: measure} + - {column: L, row: 5151, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5152 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5152, expected_value: E12000003, label: geography} + - {column: D, row: 5152, expected_value: Females, label: sex} + - {column: E, row: 5152, expected_value: Self-employed, label: employment type} + - {column: J, row: 5152, expected_value: Value, label: measure} + - {column: L, row: 5153, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5156 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5156, expected_value: E12000003, label: geography} + - {column: D, row: 5156, expected_value: Females, label: sex} + - {column: E, row: 5156, expected_value: Self-employed, label: employment type} + - {column: J, row: 5156, expected_value: Value, label: measure} + - {column: L, row: 5157, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5158 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5158, expected_value: E12000003, label: geography} + - {column: D, row: 5158, expected_value: Females, label: sex} + - {column: E, row: 5158, expected_value: Self-employed, label: employment type} + - {column: J, row: 5158, expected_value: Value, label: measure} + - {column: L, row: 5159, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5160 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5160, expected_value: E12000003, label: geography} + - {column: D, row: 5160, expected_value: Females, label: sex} + - {column: E, row: 5160, expected_value: Self-employed, label: employment type} + - {column: J, row: 5160, expected_value: Value, label: measure} + - {column: L, row: 5161, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5162 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5162, expected_value: E12000003, label: geography} + - {column: D, row: 5162, expected_value: Females, label: sex} + - {column: E, row: 5162, expected_value: Self-employed, label: employment type} + - {column: J, row: 5162, expected_value: Value, label: measure} + - {column: L, row: 5163, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5164 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5164, expected_value: E12000003, label: geography} + - {column: D, row: 5164, expected_value: Females, label: sex} + - {column: E, row: 5164, expected_value: Self-employed, label: employment type} + - {column: J, row: 5164, expected_value: Value, label: measure} + - {column: L, row: 5165, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5168 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5168, expected_value: E12000003, label: geography} + - {column: D, row: 5168, expected_value: Females, label: sex} + - {column: E, row: 5168, expected_value: Self-employed, label: employment type} + - {column: J, row: 5168, expected_value: Value, label: measure} + - {column: L, row: 5169, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5170 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5170, expected_value: E12000003, label: geography} + - {column: D, row: 5170, expected_value: Females, label: sex} + - {column: E, row: 5170, expected_value: Self-employed, label: employment type} + - {column: J, row: 5170, expected_value: Value, label: measure} + - {column: L, row: 5171, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5174 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5174, expected_value: E12000003, label: geography} + - {column: D, row: 5174, expected_value: Females, label: sex} + - {column: E, row: 5174, expected_value: Self-employed, label: employment type} + - {column: J, row: 5174, expected_value: Value, label: measure} + - {column: L, row: 5175, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5176 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5176, expected_value: E12000003, label: geography} + - {column: D, row: 5176, expected_value: Females, label: sex} + - {column: E, row: 5176, expected_value: Self-employed, label: employment type} + - {column: J, row: 5176, expected_value: Value, label: measure} + - {column: L, row: 5177, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5178 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5178, expected_value: E12000003, label: geography} + - {column: D, row: 5178, expected_value: Females, label: sex} + - {column: E, row: 5178, expected_value: Self-employed, label: employment type} + - {column: J, row: 5178, expected_value: Value, label: measure} + - {column: L, row: 5179, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5180 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5180, expected_value: E12000003, label: geography} + - {column: D, row: 5180, expected_value: Females, label: sex} + - {column: E, row: 5180, expected_value: Self-employed, label: employment type} + - {column: J, row: 5180, expected_value: Value, label: measure} + - {column: L, row: 5181, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5184 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5184, expected_value: E12000003, label: geography} + - {column: D, row: 5184, expected_value: Females, label: sex} + - {column: E, row: 5184, expected_value: Self-employed, label: employment type} + - {column: J, row: 5184, expected_value: Value, label: measure} + - {column: L, row: 5185, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5115 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5115, expected_value: E12000003, label: geography} + - {column: D, row: 5115, expected_value: Females, label: sex} + - {column: E, row: 5115, expected_value: Self-employed, label: employment type} + - {column: J, row: 5115, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5117 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5117, expected_value: E12000003, label: geography} + - {column: D, row: 5117, expected_value: Females, label: sex} + - {column: E, row: 5117, expected_value: Self-employed, label: employment type} + - {column: J, row: 5117, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5119 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5119, expected_value: E12000003, label: geography} + - {column: D, row: 5119, expected_value: Females, label: sex} + - {column: E, row: 5119, expected_value: Self-employed, label: employment type} + - {column: J, row: 5119, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5121 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5121, expected_value: E12000003, label: geography} + - {column: D, row: 5121, expected_value: Females, label: sex} + - {column: E, row: 5121, expected_value: Self-employed, label: employment type} + - {column: J, row: 5121, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5123 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5123, expected_value: E12000003, label: geography} + - {column: D, row: 5123, expected_value: Females, label: sex} + - {column: E, row: 5123, expected_value: Self-employed, label: employment type} + - {column: J, row: 5123, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5127 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5127, expected_value: E12000003, label: geography} + - {column: D, row: 5127, expected_value: Females, label: sex} + - {column: E, row: 5127, expected_value: Self-employed, label: employment type} + - {column: J, row: 5127, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5129 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5129, expected_value: E12000003, label: geography} + - {column: D, row: 5129, expected_value: Females, label: sex} + - {column: E, row: 5129, expected_value: Self-employed, label: employment type} + - {column: J, row: 5129, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5131 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5131, expected_value: E12000003, label: geography} + - {column: D, row: 5131, expected_value: Females, label: sex} + - {column: E, row: 5131, expected_value: Self-employed, label: employment type} + - {column: J, row: 5131, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5133 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5133, expected_value: E12000003, label: geography} + - {column: D, row: 5133, expected_value: Females, label: sex} + - {column: E, row: 5133, expected_value: Self-employed, label: employment type} + - {column: J, row: 5133, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5137 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5137, expected_value: E12000003, label: geography} + - {column: D, row: 5137, expected_value: Females, label: sex} + - {column: E, row: 5137, expected_value: Self-employed, label: employment type} + - {column: J, row: 5137, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5141 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5141, expected_value: E12000003, label: geography} + - {column: D, row: 5141, expected_value: Females, label: sex} + - {column: E, row: 5141, expected_value: Self-employed, label: employment type} + - {column: J, row: 5141, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5143 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5143, expected_value: E12000003, label: geography} + - {column: D, row: 5143, expected_value: Females, label: sex} + - {column: E, row: 5143, expected_value: Self-employed, label: employment type} + - {column: J, row: 5143, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5145 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5145, expected_value: E12000003, label: geography} + - {column: D, row: 5145, expected_value: Females, label: sex} + - {column: E, row: 5145, expected_value: Self-employed, label: employment type} + - {column: J, row: 5145, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5147 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5147, expected_value: E12000003, label: geography} + - {column: D, row: 5147, expected_value: Females, label: sex} + - {column: E, row: 5147, expected_value: Self-employed, label: employment type} + - {column: J, row: 5147, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5151 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5151, expected_value: E12000003, label: geography} + - {column: D, row: 5151, expected_value: Females, label: sex} + - {column: E, row: 5151, expected_value: Self-employed, label: employment type} + - {column: J, row: 5151, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5161 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5161, expected_value: E12000003, label: geography} + - {column: D, row: 5161, expected_value: Females, label: sex} + - {column: E, row: 5161, expected_value: Self-employed, label: employment type} + - {column: J, row: 5161, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5163 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5163, expected_value: E12000003, label: geography} + - {column: D, row: 5163, expected_value: Females, label: sex} + - {column: E, row: 5163, expected_value: Self-employed, label: employment type} + - {column: J, row: 5163, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5165 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5165, expected_value: E12000003, label: geography} + - {column: D, row: 5165, expected_value: Females, label: sex} + - {column: E, row: 5165, expected_value: Self-employed, label: employment type} + - {column: J, row: 5165, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5181 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5181, expected_value: E12000003, label: geography} + - {column: D, row: 5181, expected_value: Females, label: sex} + - {column: E, row: 5181, expected_value: Self-employed, label: employment type} + - {column: J, row: 5181, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5185 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5185, expected_value: E12000003, label: geography} + - {column: D, row: 5185, expected_value: Females, label: sex} + - {column: E, row: 5185, expected_value: Self-employed, label: employment type} + - {column: J, row: 5185, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5186 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5186, expected_value: E12000004, label: geography} + - {column: D, row: 5186, expected_value: All persons, label: sex} + - {column: E, row: 5186, expected_value: Total, label: employment type} + - {column: J, row: 5186, expected_value: Value, label: measure} + - {column: L, row: 5187, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5188 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5188, expected_value: E12000004, label: geography} + - {column: D, row: 5188, expected_value: All persons, label: sex} + - {column: E, row: 5188, expected_value: Total, label: employment type} + - {column: J, row: 5188, expected_value: Value, label: measure} + - {column: L, row: 5189, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5190 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5190, expected_value: E12000004, label: geography} + - {column: D, row: 5190, expected_value: All persons, label: sex} + - {column: E, row: 5190, expected_value: Total, label: employment type} + - {column: J, row: 5190, expected_value: Value, label: measure} + - {column: L, row: 5191, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5192 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5192, expected_value: E12000004, label: geography} + - {column: D, row: 5192, expected_value: All persons, label: sex} + - {column: E, row: 5192, expected_value: Total, label: employment type} + - {column: J, row: 5192, expected_value: Value, label: measure} + - {column: L, row: 5193, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5194 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5194, expected_value: E12000004, label: geography} + - {column: D, row: 5194, expected_value: All persons, label: sex} + - {column: E, row: 5194, expected_value: Total, label: employment type} + - {column: J, row: 5194, expected_value: Value, label: measure} + - {column: L, row: 5195, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5196 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5196, expected_value: E12000004, label: geography} + - {column: D, row: 5196, expected_value: All persons, label: sex} + - {column: E, row: 5196, expected_value: Total, label: employment type} + - {column: J, row: 5196, expected_value: Value, label: measure} + - {column: L, row: 5197, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5198 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5198, expected_value: E12000004, label: geography} + - {column: D, row: 5198, expected_value: All persons, label: sex} + - {column: E, row: 5198, expected_value: Total, label: employment type} + - {column: J, row: 5198, expected_value: Value, label: measure} + - {column: L, row: 5199, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5200 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5200, expected_value: E12000004, label: geography} + - {column: D, row: 5200, expected_value: All persons, label: sex} + - {column: E, row: 5200, expected_value: Total, label: employment type} + - {column: J, row: 5200, expected_value: Value, label: measure} + - {column: L, row: 5201, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5202 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5202, expected_value: E12000004, label: geography} + - {column: D, row: 5202, expected_value: All persons, label: sex} + - {column: E, row: 5202, expected_value: Total, label: employment type} + - {column: J, row: 5202, expected_value: Value, label: measure} + - {column: L, row: 5203, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5204 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5204, expected_value: E12000004, label: geography} + - {column: D, row: 5204, expected_value: All persons, label: sex} + - {column: E, row: 5204, expected_value: Total, label: employment type} + - {column: J, row: 5204, expected_value: Value, label: measure} + - {column: L, row: 5205, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5206 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5206, expected_value: E12000004, label: geography} + - {column: D, row: 5206, expected_value: All persons, label: sex} + - {column: E, row: 5206, expected_value: Total, label: employment type} + - {column: J, row: 5206, expected_value: Value, label: measure} + - {column: L, row: 5207, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5208 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5208, expected_value: E12000004, label: geography} + - {column: D, row: 5208, expected_value: All persons, label: sex} + - {column: E, row: 5208, expected_value: Total, label: employment type} + - {column: J, row: 5208, expected_value: Value, label: measure} + - {column: L, row: 5209, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5210 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5210, expected_value: E12000004, label: geography} + - {column: D, row: 5210, expected_value: All persons, label: sex} + - {column: E, row: 5210, expected_value: Total, label: employment type} + - {column: J, row: 5210, expected_value: Value, label: measure} + - {column: L, row: 5211, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5212 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5212, expected_value: E12000004, label: geography} + - {column: D, row: 5212, expected_value: All persons, label: sex} + - {column: E, row: 5212, expected_value: Total, label: employment type} + - {column: J, row: 5212, expected_value: Value, label: measure} + - {column: L, row: 5213, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5214 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5214, expected_value: E12000004, label: geography} + - {column: D, row: 5214, expected_value: All persons, label: sex} + - {column: E, row: 5214, expected_value: Total, label: employment type} + - {column: J, row: 5214, expected_value: Value, label: measure} + - {column: L, row: 5215, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5216 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5216, expected_value: E12000004, label: geography} + - {column: D, row: 5216, expected_value: All persons, label: sex} + - {column: E, row: 5216, expected_value: Total, label: employment type} + - {column: J, row: 5216, expected_value: Value, label: measure} + - {column: L, row: 5217, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5218 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5218, expected_value: E12000004, label: geography} + - {column: D, row: 5218, expected_value: All persons, label: sex} + - {column: E, row: 5218, expected_value: Total, label: employment type} + - {column: J, row: 5218, expected_value: Value, label: measure} + - {column: L, row: 5219, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5220 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5220, expected_value: E12000004, label: geography} + - {column: D, row: 5220, expected_value: All persons, label: sex} + - {column: E, row: 5220, expected_value: Total, label: employment type} + - {column: J, row: 5220, expected_value: Value, label: measure} + - {column: L, row: 5221, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5222 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5222, expected_value: E12000004, label: geography} + - {column: D, row: 5222, expected_value: All persons, label: sex} + - {column: E, row: 5222, expected_value: Total, label: employment type} + - {column: J, row: 5222, expected_value: Value, label: measure} + - {column: L, row: 5223, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5224 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5224, expected_value: E12000004, label: geography} + - {column: D, row: 5224, expected_value: All persons, label: sex} + - {column: E, row: 5224, expected_value: Total, label: employment type} + - {column: J, row: 5224, expected_value: Value, label: measure} + - {column: L, row: 5225, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5226 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5226, expected_value: E12000004, label: geography} + - {column: D, row: 5226, expected_value: All persons, label: sex} + - {column: E, row: 5226, expected_value: Total, label: employment type} + - {column: J, row: 5226, expected_value: Value, label: measure} + - {column: L, row: 5227, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5228 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5228, expected_value: E12000004, label: geography} + - {column: D, row: 5228, expected_value: All persons, label: sex} + - {column: E, row: 5228, expected_value: Total, label: employment type} + - {column: J, row: 5228, expected_value: Value, label: measure} + - {column: L, row: 5229, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5230 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5230, expected_value: E12000004, label: geography} + - {column: D, row: 5230, expected_value: All persons, label: sex} + - {column: E, row: 5230, expected_value: Total, label: employment type} + - {column: J, row: 5230, expected_value: Value, label: measure} + - {column: L, row: 5231, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5232 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5232, expected_value: E12000004, label: geography} + - {column: D, row: 5232, expected_value: All persons, label: sex} + - {column: E, row: 5232, expected_value: Total, label: employment type} + - {column: J, row: 5232, expected_value: Value, label: measure} + - {column: L, row: 5233, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5234 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5234, expected_value: E12000004, label: geography} + - {column: D, row: 5234, expected_value: All persons, label: sex} + - {column: E, row: 5234, expected_value: Total, label: employment type} + - {column: J, row: 5234, expected_value: Value, label: measure} + - {column: L, row: 5235, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5236 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5236, expected_value: E12000004, label: geography} + - {column: D, row: 5236, expected_value: All persons, label: sex} + - {column: E, row: 5236, expected_value: Total, label: employment type} + - {column: J, row: 5236, expected_value: Value, label: measure} + - {column: L, row: 5237, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5238 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5238, expected_value: E12000004, label: geography} + - {column: D, row: 5238, expected_value: All persons, label: sex} + - {column: E, row: 5238, expected_value: Total, label: employment type} + - {column: J, row: 5238, expected_value: Value, label: measure} + - {column: L, row: 5239, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5240 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5240, expected_value: E12000004, label: geography} + - {column: D, row: 5240, expected_value: All persons, label: sex} + - {column: E, row: 5240, expected_value: Total, label: employment type} + - {column: J, row: 5240, expected_value: Value, label: measure} + - {column: L, row: 5241, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5242 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5242, expected_value: E12000004, label: geography} + - {column: D, row: 5242, expected_value: All persons, label: sex} + - {column: E, row: 5242, expected_value: Total, label: employment type} + - {column: J, row: 5242, expected_value: Value, label: measure} + - {column: L, row: 5243, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5244 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5244, expected_value: E12000004, label: geography} + - {column: D, row: 5244, expected_value: All persons, label: sex} + - {column: E, row: 5244, expected_value: Total, label: employment type} + - {column: J, row: 5244, expected_value: Value, label: measure} + - {column: L, row: 5245, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5246 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5246, expected_value: E12000004, label: geography} + - {column: D, row: 5246, expected_value: All persons, label: sex} + - {column: E, row: 5246, expected_value: Total, label: employment type} + - {column: J, row: 5246, expected_value: Value, label: measure} + - {column: L, row: 5247, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5248 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5248, expected_value: E12000004, label: geography} + - {column: D, row: 5248, expected_value: All persons, label: sex} + - {column: E, row: 5248, expected_value: Total, label: employment type} + - {column: J, row: 5248, expected_value: Value, label: measure} + - {column: L, row: 5249, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5250 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5250, expected_value: E12000004, label: geography} + - {column: D, row: 5250, expected_value: All persons, label: sex} + - {column: E, row: 5250, expected_value: Total, label: employment type} + - {column: J, row: 5250, expected_value: Value, label: measure} + - {column: L, row: 5251, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5252 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5252, expected_value: E12000004, label: geography} + - {column: D, row: 5252, expected_value: All persons, label: sex} + - {column: E, row: 5252, expected_value: Total, label: employment type} + - {column: J, row: 5252, expected_value: Value, label: measure} + - {column: L, row: 5253, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5254 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5254, expected_value: E12000004, label: geography} + - {column: D, row: 5254, expected_value: All persons, label: sex} + - {column: E, row: 5254, expected_value: Total, label: employment type} + - {column: J, row: 5254, expected_value: Value, label: measure} + - {column: L, row: 5255, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5256 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5256, expected_value: E12000004, label: geography} + - {column: D, row: 5256, expected_value: All persons, label: sex} + - {column: E, row: 5256, expected_value: Total, label: employment type} + - {column: J, row: 5256, expected_value: Value, label: measure} + - {column: L, row: 5257, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5187 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5187, expected_value: E12000004, label: geography} + - {column: D, row: 5187, expected_value: All persons, label: sex} + - {column: E, row: 5187, expected_value: Total, label: employment type} + - {column: J, row: 5187, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5189 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5189, expected_value: E12000004, label: geography} + - {column: D, row: 5189, expected_value: All persons, label: sex} + - {column: E, row: 5189, expected_value: Total, label: employment type} + - {column: J, row: 5189, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5191 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5191, expected_value: E12000004, label: geography} + - {column: D, row: 5191, expected_value: All persons, label: sex} + - {column: E, row: 5191, expected_value: Total, label: employment type} + - {column: J, row: 5191, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5193 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5193, expected_value: E12000004, label: geography} + - {column: D, row: 5193, expected_value: All persons, label: sex} + - {column: E, row: 5193, expected_value: Total, label: employment type} + - {column: J, row: 5193, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5195 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5195, expected_value: E12000004, label: geography} + - {column: D, row: 5195, expected_value: All persons, label: sex} + - {column: E, row: 5195, expected_value: Total, label: employment type} + - {column: J, row: 5195, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5197 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5197, expected_value: E12000004, label: geography} + - {column: D, row: 5197, expected_value: All persons, label: sex} + - {column: E, row: 5197, expected_value: Total, label: employment type} + - {column: J, row: 5197, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5199 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5199, expected_value: E12000004, label: geography} + - {column: D, row: 5199, expected_value: All persons, label: sex} + - {column: E, row: 5199, expected_value: Total, label: employment type} + - {column: J, row: 5199, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5201 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5201, expected_value: E12000004, label: geography} + - {column: D, row: 5201, expected_value: All persons, label: sex} + - {column: E, row: 5201, expected_value: Total, label: employment type} + - {column: J, row: 5201, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5203 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5203, expected_value: E12000004, label: geography} + - {column: D, row: 5203, expected_value: All persons, label: sex} + - {column: E, row: 5203, expected_value: Total, label: employment type} + - {column: J, row: 5203, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5205 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5205, expected_value: E12000004, label: geography} + - {column: D, row: 5205, expected_value: All persons, label: sex} + - {column: E, row: 5205, expected_value: Total, label: employment type} + - {column: J, row: 5205, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5207 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5207, expected_value: E12000004, label: geography} + - {column: D, row: 5207, expected_value: All persons, label: sex} + - {column: E, row: 5207, expected_value: Total, label: employment type} + - {column: J, row: 5207, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5209 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5209, expected_value: E12000004, label: geography} + - {column: D, row: 5209, expected_value: All persons, label: sex} + - {column: E, row: 5209, expected_value: Total, label: employment type} + - {column: J, row: 5209, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5211 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5211, expected_value: E12000004, label: geography} + - {column: D, row: 5211, expected_value: All persons, label: sex} + - {column: E, row: 5211, expected_value: Total, label: employment type} + - {column: J, row: 5211, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5213 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5213, expected_value: E12000004, label: geography} + - {column: D, row: 5213, expected_value: All persons, label: sex} + - {column: E, row: 5213, expected_value: Total, label: employment type} + - {column: J, row: 5213, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5215 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5215, expected_value: E12000004, label: geography} + - {column: D, row: 5215, expected_value: All persons, label: sex} + - {column: E, row: 5215, expected_value: Total, label: employment type} + - {column: J, row: 5215, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5217 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5217, expected_value: E12000004, label: geography} + - {column: D, row: 5217, expected_value: All persons, label: sex} + - {column: E, row: 5217, expected_value: Total, label: employment type} + - {column: J, row: 5217, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5219 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5219, expected_value: E12000004, label: geography} + - {column: D, row: 5219, expected_value: All persons, label: sex} + - {column: E, row: 5219, expected_value: Total, label: employment type} + - {column: J, row: 5219, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5221 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5221, expected_value: E12000004, label: geography} + - {column: D, row: 5221, expected_value: All persons, label: sex} + - {column: E, row: 5221, expected_value: Total, label: employment type} + - {column: J, row: 5221, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5223 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5223, expected_value: E12000004, label: geography} + - {column: D, row: 5223, expected_value: All persons, label: sex} + - {column: E, row: 5223, expected_value: Total, label: employment type} + - {column: J, row: 5223, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5225 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5225, expected_value: E12000004, label: geography} + - {column: D, row: 5225, expected_value: All persons, label: sex} + - {column: E, row: 5225, expected_value: Total, label: employment type} + - {column: J, row: 5225, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5227 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5227, expected_value: E12000004, label: geography} + - {column: D, row: 5227, expected_value: All persons, label: sex} + - {column: E, row: 5227, expected_value: Total, label: employment type} + - {column: J, row: 5227, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5229 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5229, expected_value: E12000004, label: geography} + - {column: D, row: 5229, expected_value: All persons, label: sex} + - {column: E, row: 5229, expected_value: Total, label: employment type} + - {column: J, row: 5229, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5231 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5231, expected_value: E12000004, label: geography} + - {column: D, row: 5231, expected_value: All persons, label: sex} + - {column: E, row: 5231, expected_value: Total, label: employment type} + - {column: J, row: 5231, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5233 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5233, expected_value: E12000004, label: geography} + - {column: D, row: 5233, expected_value: All persons, label: sex} + - {column: E, row: 5233, expected_value: Total, label: employment type} + - {column: J, row: 5233, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5235 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5235, expected_value: E12000004, label: geography} + - {column: D, row: 5235, expected_value: All persons, label: sex} + - {column: E, row: 5235, expected_value: Total, label: employment type} + - {column: J, row: 5235, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5237 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5237, expected_value: E12000004, label: geography} + - {column: D, row: 5237, expected_value: All persons, label: sex} + - {column: E, row: 5237, expected_value: Total, label: employment type} + - {column: J, row: 5237, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5241 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5241, expected_value: E12000004, label: geography} + - {column: D, row: 5241, expected_value: All persons, label: sex} + - {column: E, row: 5241, expected_value: Total, label: employment type} + - {column: J, row: 5241, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5243 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5243, expected_value: E12000004, label: geography} + - {column: D, row: 5243, expected_value: All persons, label: sex} + - {column: E, row: 5243, expected_value: Total, label: employment type} + - {column: J, row: 5243, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5245 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5245, expected_value: E12000004, label: geography} + - {column: D, row: 5245, expected_value: All persons, label: sex} + - {column: E, row: 5245, expected_value: Total, label: employment type} + - {column: J, row: 5245, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5247 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5247, expected_value: E12000004, label: geography} + - {column: D, row: 5247, expected_value: All persons, label: sex} + - {column: E, row: 5247, expected_value: Total, label: employment type} + - {column: J, row: 5247, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5249 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5249, expected_value: E12000004, label: geography} + - {column: D, row: 5249, expected_value: All persons, label: sex} + - {column: E, row: 5249, expected_value: Total, label: employment type} + - {column: J, row: 5249, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5251 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5251, expected_value: E12000004, label: geography} + - {column: D, row: 5251, expected_value: All persons, label: sex} + - {column: E, row: 5251, expected_value: Total, label: employment type} + - {column: J, row: 5251, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5253 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5253, expected_value: E12000004, label: geography} + - {column: D, row: 5253, expected_value: All persons, label: sex} + - {column: E, row: 5253, expected_value: Total, label: employment type} + - {column: J, row: 5253, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5255 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5255, expected_value: E12000004, label: geography} + - {column: D, row: 5255, expected_value: All persons, label: sex} + - {column: E, row: 5255, expected_value: Total, label: employment type} + - {column: J, row: 5255, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5257 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5257, expected_value: E12000004, label: geography} + - {column: D, row: 5257, expected_value: All persons, label: sex} + - {column: E, row: 5257, expected_value: Total, label: employment type} + - {column: J, row: 5257, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5402 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5402, expected_value: E12000004, label: geography} + - {column: D, row: 5402, expected_value: All persons, label: sex} + - {column: E, row: 5402, expected_value: Employee, label: employment type} + - {column: J, row: 5402, expected_value: Value, label: measure} + - {column: L, row: 5403, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5404 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5404, expected_value: E12000004, label: geography} + - {column: D, row: 5404, expected_value: All persons, label: sex} + - {column: E, row: 5404, expected_value: Employee, label: employment type} + - {column: J, row: 5404, expected_value: Value, label: measure} + - {column: L, row: 5405, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5406 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5406, expected_value: E12000004, label: geography} + - {column: D, row: 5406, expected_value: All persons, label: sex} + - {column: E, row: 5406, expected_value: Employee, label: employment type} + - {column: J, row: 5406, expected_value: Value, label: measure} + - {column: L, row: 5407, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5408 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5408, expected_value: E12000004, label: geography} + - {column: D, row: 5408, expected_value: All persons, label: sex} + - {column: E, row: 5408, expected_value: Employee, label: employment type} + - {column: J, row: 5408, expected_value: Value, label: measure} + - {column: L, row: 5409, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5410 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5410, expected_value: E12000004, label: geography} + - {column: D, row: 5410, expected_value: All persons, label: sex} + - {column: E, row: 5410, expected_value: Employee, label: employment type} + - {column: J, row: 5410, expected_value: Value, label: measure} + - {column: L, row: 5411, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5412 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5412, expected_value: E12000004, label: geography} + - {column: D, row: 5412, expected_value: All persons, label: sex} + - {column: E, row: 5412, expected_value: Employee, label: employment type} + - {column: J, row: 5412, expected_value: Value, label: measure} + - {column: L, row: 5413, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5414 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5414, expected_value: E12000004, label: geography} + - {column: D, row: 5414, expected_value: All persons, label: sex} + - {column: E, row: 5414, expected_value: Employee, label: employment type} + - {column: J, row: 5414, expected_value: Value, label: measure} + - {column: L, row: 5415, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5416 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5416, expected_value: E12000004, label: geography} + - {column: D, row: 5416, expected_value: All persons, label: sex} + - {column: E, row: 5416, expected_value: Employee, label: employment type} + - {column: J, row: 5416, expected_value: Value, label: measure} + - {column: L, row: 5417, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5418 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5418, expected_value: E12000004, label: geography} + - {column: D, row: 5418, expected_value: All persons, label: sex} + - {column: E, row: 5418, expected_value: Employee, label: employment type} + - {column: J, row: 5418, expected_value: Value, label: measure} + - {column: L, row: 5419, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5420 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5420, expected_value: E12000004, label: geography} + - {column: D, row: 5420, expected_value: All persons, label: sex} + - {column: E, row: 5420, expected_value: Employee, label: employment type} + - {column: J, row: 5420, expected_value: Value, label: measure} + - {column: L, row: 5421, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5422 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5422, expected_value: E12000004, label: geography} + - {column: D, row: 5422, expected_value: All persons, label: sex} + - {column: E, row: 5422, expected_value: Employee, label: employment type} + - {column: J, row: 5422, expected_value: Value, label: measure} + - {column: L, row: 5423, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5424 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5424, expected_value: E12000004, label: geography} + - {column: D, row: 5424, expected_value: All persons, label: sex} + - {column: E, row: 5424, expected_value: Employee, label: employment type} + - {column: J, row: 5424, expected_value: Value, label: measure} + - {column: L, row: 5425, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5426 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5426, expected_value: E12000004, label: geography} + - {column: D, row: 5426, expected_value: All persons, label: sex} + - {column: E, row: 5426, expected_value: Employee, label: employment type} + - {column: J, row: 5426, expected_value: Value, label: measure} + - {column: L, row: 5427, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5428 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5428, expected_value: E12000004, label: geography} + - {column: D, row: 5428, expected_value: All persons, label: sex} + - {column: E, row: 5428, expected_value: Employee, label: employment type} + - {column: J, row: 5428, expected_value: Value, label: measure} + - {column: L, row: 5429, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5430 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5430, expected_value: E12000004, label: geography} + - {column: D, row: 5430, expected_value: All persons, label: sex} + - {column: E, row: 5430, expected_value: Employee, label: employment type} + - {column: J, row: 5430, expected_value: Value, label: measure} + - {column: L, row: 5431, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5432 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5432, expected_value: E12000004, label: geography} + - {column: D, row: 5432, expected_value: All persons, label: sex} + - {column: E, row: 5432, expected_value: Employee, label: employment type} + - {column: J, row: 5432, expected_value: Value, label: measure} + - {column: L, row: 5433, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5434 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5434, expected_value: E12000004, label: geography} + - {column: D, row: 5434, expected_value: All persons, label: sex} + - {column: E, row: 5434, expected_value: Employee, label: employment type} + - {column: J, row: 5434, expected_value: Value, label: measure} + - {column: L, row: 5435, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5436 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5436, expected_value: E12000004, label: geography} + - {column: D, row: 5436, expected_value: All persons, label: sex} + - {column: E, row: 5436, expected_value: Employee, label: employment type} + - {column: J, row: 5436, expected_value: Value, label: measure} + - {column: L, row: 5437, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5438 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5438, expected_value: E12000004, label: geography} + - {column: D, row: 5438, expected_value: All persons, label: sex} + - {column: E, row: 5438, expected_value: Employee, label: employment type} + - {column: J, row: 5438, expected_value: Value, label: measure} + - {column: L, row: 5439, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5440 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5440, expected_value: E12000004, label: geography} + - {column: D, row: 5440, expected_value: All persons, label: sex} + - {column: E, row: 5440, expected_value: Employee, label: employment type} + - {column: J, row: 5440, expected_value: Value, label: measure} + - {column: L, row: 5441, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5442 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5442, expected_value: E12000004, label: geography} + - {column: D, row: 5442, expected_value: All persons, label: sex} + - {column: E, row: 5442, expected_value: Employee, label: employment type} + - {column: J, row: 5442, expected_value: Value, label: measure} + - {column: L, row: 5443, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5444 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5444, expected_value: E12000004, label: geography} + - {column: D, row: 5444, expected_value: All persons, label: sex} + - {column: E, row: 5444, expected_value: Employee, label: employment type} + - {column: J, row: 5444, expected_value: Value, label: measure} + - {column: L, row: 5445, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5446 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5446, expected_value: E12000004, label: geography} + - {column: D, row: 5446, expected_value: All persons, label: sex} + - {column: E, row: 5446, expected_value: Employee, label: employment type} + - {column: J, row: 5446, expected_value: Value, label: measure} + - {column: L, row: 5447, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5448 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5448, expected_value: E12000004, label: geography} + - {column: D, row: 5448, expected_value: All persons, label: sex} + - {column: E, row: 5448, expected_value: Employee, label: employment type} + - {column: J, row: 5448, expected_value: Value, label: measure} + - {column: L, row: 5449, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5450 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5450, expected_value: E12000004, label: geography} + - {column: D, row: 5450, expected_value: All persons, label: sex} + - {column: E, row: 5450, expected_value: Employee, label: employment type} + - {column: J, row: 5450, expected_value: Value, label: measure} + - {column: L, row: 5451, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5452 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5452, expected_value: E12000004, label: geography} + - {column: D, row: 5452, expected_value: All persons, label: sex} + - {column: E, row: 5452, expected_value: Employee, label: employment type} + - {column: J, row: 5452, expected_value: Value, label: measure} + - {column: L, row: 5453, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5454 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5454, expected_value: E12000004, label: geography} + - {column: D, row: 5454, expected_value: All persons, label: sex} + - {column: E, row: 5454, expected_value: Employee, label: employment type} + - {column: J, row: 5454, expected_value: Value, label: measure} + - {column: L, row: 5455, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5456 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5456, expected_value: E12000004, label: geography} + - {column: D, row: 5456, expected_value: All persons, label: sex} + - {column: E, row: 5456, expected_value: Employee, label: employment type} + - {column: J, row: 5456, expected_value: Value, label: measure} + - {column: L, row: 5457, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5458 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5458, expected_value: E12000004, label: geography} + - {column: D, row: 5458, expected_value: All persons, label: sex} + - {column: E, row: 5458, expected_value: Employee, label: employment type} + - {column: J, row: 5458, expected_value: Value, label: measure} + - {column: L, row: 5459, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5460 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5460, expected_value: E12000004, label: geography} + - {column: D, row: 5460, expected_value: All persons, label: sex} + - {column: E, row: 5460, expected_value: Employee, label: employment type} + - {column: J, row: 5460, expected_value: Value, label: measure} + - {column: L, row: 5461, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5462 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5462, expected_value: E12000004, label: geography} + - {column: D, row: 5462, expected_value: All persons, label: sex} + - {column: E, row: 5462, expected_value: Employee, label: employment type} + - {column: J, row: 5462, expected_value: Value, label: measure} + - {column: L, row: 5463, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5464 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5464, expected_value: E12000004, label: geography} + - {column: D, row: 5464, expected_value: All persons, label: sex} + - {column: E, row: 5464, expected_value: Employee, label: employment type} + - {column: J, row: 5464, expected_value: Value, label: measure} + - {column: L, row: 5465, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5466 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5466, expected_value: E12000004, label: geography} + - {column: D, row: 5466, expected_value: All persons, label: sex} + - {column: E, row: 5466, expected_value: Employee, label: employment type} + - {column: J, row: 5466, expected_value: Value, label: measure} + - {column: L, row: 5467, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5468 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5468, expected_value: E12000004, label: geography} + - {column: D, row: 5468, expected_value: All persons, label: sex} + - {column: E, row: 5468, expected_value: Employee, label: employment type} + - {column: J, row: 5468, expected_value: Value, label: measure} + - {column: L, row: 5469, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5470 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5470, expected_value: E12000004, label: geography} + - {column: D, row: 5470, expected_value: All persons, label: sex} + - {column: E, row: 5470, expected_value: Employee, label: employment type} + - {column: J, row: 5470, expected_value: Value, label: measure} + - {column: L, row: 5471, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5472 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5472, expected_value: E12000004, label: geography} + - {column: D, row: 5472, expected_value: All persons, label: sex} + - {column: E, row: 5472, expected_value: Employee, label: employment type} + - {column: J, row: 5472, expected_value: Value, label: measure} + - {column: L, row: 5473, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5403 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5403, expected_value: E12000004, label: geography} + - {column: D, row: 5403, expected_value: All persons, label: sex} + - {column: E, row: 5403, expected_value: Employee, label: employment type} + - {column: J, row: 5403, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5405 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5405, expected_value: E12000004, label: geography} + - {column: D, row: 5405, expected_value: All persons, label: sex} + - {column: E, row: 5405, expected_value: Employee, label: employment type} + - {column: J, row: 5405, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5407 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5407, expected_value: E12000004, label: geography} + - {column: D, row: 5407, expected_value: All persons, label: sex} + - {column: E, row: 5407, expected_value: Employee, label: employment type} + - {column: J, row: 5407, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5409 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5409, expected_value: E12000004, label: geography} + - {column: D, row: 5409, expected_value: All persons, label: sex} + - {column: E, row: 5409, expected_value: Employee, label: employment type} + - {column: J, row: 5409, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5411 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5411, expected_value: E12000004, label: geography} + - {column: D, row: 5411, expected_value: All persons, label: sex} + - {column: E, row: 5411, expected_value: Employee, label: employment type} + - {column: J, row: 5411, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5413 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5413, expected_value: E12000004, label: geography} + - {column: D, row: 5413, expected_value: All persons, label: sex} + - {column: E, row: 5413, expected_value: Employee, label: employment type} + - {column: J, row: 5413, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5415 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5415, expected_value: E12000004, label: geography} + - {column: D, row: 5415, expected_value: All persons, label: sex} + - {column: E, row: 5415, expected_value: Employee, label: employment type} + - {column: J, row: 5415, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5417 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5417, expected_value: E12000004, label: geography} + - {column: D, row: 5417, expected_value: All persons, label: sex} + - {column: E, row: 5417, expected_value: Employee, label: employment type} + - {column: J, row: 5417, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5419 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5419, expected_value: E12000004, label: geography} + - {column: D, row: 5419, expected_value: All persons, label: sex} + - {column: E, row: 5419, expected_value: Employee, label: employment type} + - {column: J, row: 5419, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5421 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5421, expected_value: E12000004, label: geography} + - {column: D, row: 5421, expected_value: All persons, label: sex} + - {column: E, row: 5421, expected_value: Employee, label: employment type} + - {column: J, row: 5421, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5423 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5423, expected_value: E12000004, label: geography} + - {column: D, row: 5423, expected_value: All persons, label: sex} + - {column: E, row: 5423, expected_value: Employee, label: employment type} + - {column: J, row: 5423, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5425 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5425, expected_value: E12000004, label: geography} + - {column: D, row: 5425, expected_value: All persons, label: sex} + - {column: E, row: 5425, expected_value: Employee, label: employment type} + - {column: J, row: 5425, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5427 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5427, expected_value: E12000004, label: geography} + - {column: D, row: 5427, expected_value: All persons, label: sex} + - {column: E, row: 5427, expected_value: Employee, label: employment type} + - {column: J, row: 5427, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5429 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5429, expected_value: E12000004, label: geography} + - {column: D, row: 5429, expected_value: All persons, label: sex} + - {column: E, row: 5429, expected_value: Employee, label: employment type} + - {column: J, row: 5429, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5431 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5431, expected_value: E12000004, label: geography} + - {column: D, row: 5431, expected_value: All persons, label: sex} + - {column: E, row: 5431, expected_value: Employee, label: employment type} + - {column: J, row: 5431, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5433 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5433, expected_value: E12000004, label: geography} + - {column: D, row: 5433, expected_value: All persons, label: sex} + - {column: E, row: 5433, expected_value: Employee, label: employment type} + - {column: J, row: 5433, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5435 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5435, expected_value: E12000004, label: geography} + - {column: D, row: 5435, expected_value: All persons, label: sex} + - {column: E, row: 5435, expected_value: Employee, label: employment type} + - {column: J, row: 5435, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5437 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5437, expected_value: E12000004, label: geography} + - {column: D, row: 5437, expected_value: All persons, label: sex} + - {column: E, row: 5437, expected_value: Employee, label: employment type} + - {column: J, row: 5437, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5439 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5439, expected_value: E12000004, label: geography} + - {column: D, row: 5439, expected_value: All persons, label: sex} + - {column: E, row: 5439, expected_value: Employee, label: employment type} + - {column: J, row: 5439, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5441 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5441, expected_value: E12000004, label: geography} + - {column: D, row: 5441, expected_value: All persons, label: sex} + - {column: E, row: 5441, expected_value: Employee, label: employment type} + - {column: J, row: 5441, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5443 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5443, expected_value: E12000004, label: geography} + - {column: D, row: 5443, expected_value: All persons, label: sex} + - {column: E, row: 5443, expected_value: Employee, label: employment type} + - {column: J, row: 5443, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5445 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5445, expected_value: E12000004, label: geography} + - {column: D, row: 5445, expected_value: All persons, label: sex} + - {column: E, row: 5445, expected_value: Employee, label: employment type} + - {column: J, row: 5445, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5447 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5447, expected_value: E12000004, label: geography} + - {column: D, row: 5447, expected_value: All persons, label: sex} + - {column: E, row: 5447, expected_value: Employee, label: employment type} + - {column: J, row: 5447, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5449 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5449, expected_value: E12000004, label: geography} + - {column: D, row: 5449, expected_value: All persons, label: sex} + - {column: E, row: 5449, expected_value: Employee, label: employment type} + - {column: J, row: 5449, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5451 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5451, expected_value: E12000004, label: geography} + - {column: D, row: 5451, expected_value: All persons, label: sex} + - {column: E, row: 5451, expected_value: Employee, label: employment type} + - {column: J, row: 5451, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5453 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5453, expected_value: E12000004, label: geography} + - {column: D, row: 5453, expected_value: All persons, label: sex} + - {column: E, row: 5453, expected_value: Employee, label: employment type} + - {column: J, row: 5453, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5457 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5457, expected_value: E12000004, label: geography} + - {column: D, row: 5457, expected_value: All persons, label: sex} + - {column: E, row: 5457, expected_value: Employee, label: employment type} + - {column: J, row: 5457, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5459 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5459, expected_value: E12000004, label: geography} + - {column: D, row: 5459, expected_value: All persons, label: sex} + - {column: E, row: 5459, expected_value: Employee, label: employment type} + - {column: J, row: 5459, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5461 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5461, expected_value: E12000004, label: geography} + - {column: D, row: 5461, expected_value: All persons, label: sex} + - {column: E, row: 5461, expected_value: Employee, label: employment type} + - {column: J, row: 5461, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5463 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5463, expected_value: E12000004, label: geography} + - {column: D, row: 5463, expected_value: All persons, label: sex} + - {column: E, row: 5463, expected_value: Employee, label: employment type} + - {column: J, row: 5463, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5465 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5465, expected_value: E12000004, label: geography} + - {column: D, row: 5465, expected_value: All persons, label: sex} + - {column: E, row: 5465, expected_value: Employee, label: employment type} + - {column: J, row: 5465, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5467 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5467, expected_value: E12000004, label: geography} + - {column: D, row: 5467, expected_value: All persons, label: sex} + - {column: E, row: 5467, expected_value: Employee, label: employment type} + - {column: J, row: 5467, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5469 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5469, expected_value: E12000004, label: geography} + - {column: D, row: 5469, expected_value: All persons, label: sex} + - {column: E, row: 5469, expected_value: Employee, label: employment type} + - {column: J, row: 5469, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5471 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5471, expected_value: E12000004, label: geography} + - {column: D, row: 5471, expected_value: All persons, label: sex} + - {column: E, row: 5471, expected_value: Employee, label: employment type} + - {column: J, row: 5471, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5473 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5473, expected_value: E12000004, label: geography} + - {column: D, row: 5473, expected_value: All persons, label: sex} + - {column: E, row: 5473, expected_value: Employee, label: employment type} + - {column: J, row: 5473, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5618 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5618, expected_value: E12000004, label: geography} + - {column: D, row: 5618, expected_value: All persons, label: sex} + - {column: E, row: 5618, expected_value: Self-employed, label: employment type} + - {column: J, row: 5618, expected_value: Value, label: measure} + - {column: L, row: 5619, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5620 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5620, expected_value: E12000004, label: geography} + - {column: D, row: 5620, expected_value: All persons, label: sex} + - {column: E, row: 5620, expected_value: Self-employed, label: employment type} + - {column: J, row: 5620, expected_value: Value, label: measure} + - {column: L, row: 5621, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5622 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5622, expected_value: E12000004, label: geography} + - {column: D, row: 5622, expected_value: All persons, label: sex} + - {column: E, row: 5622, expected_value: Self-employed, label: employment type} + - {column: J, row: 5622, expected_value: Value, label: measure} + - {column: L, row: 5623, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5624 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5624, expected_value: E12000004, label: geography} + - {column: D, row: 5624, expected_value: All persons, label: sex} + - {column: E, row: 5624, expected_value: Self-employed, label: employment type} + - {column: J, row: 5624, expected_value: Value, label: measure} + - {column: L, row: 5625, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5626 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5626, expected_value: E12000004, label: geography} + - {column: D, row: 5626, expected_value: All persons, label: sex} + - {column: E, row: 5626, expected_value: Self-employed, label: employment type} + - {column: J, row: 5626, expected_value: Value, label: measure} + - {column: L, row: 5627, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5628 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5628, expected_value: E12000004, label: geography} + - {column: D, row: 5628, expected_value: All persons, label: sex} + - {column: E, row: 5628, expected_value: Self-employed, label: employment type} + - {column: J, row: 5628, expected_value: Value, label: measure} + - {column: L, row: 5629, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5630 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5630, expected_value: E12000004, label: geography} + - {column: D, row: 5630, expected_value: All persons, label: sex} + - {column: E, row: 5630, expected_value: Self-employed, label: employment type} + - {column: J, row: 5630, expected_value: Value, label: measure} + - {column: L, row: 5631, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5632 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5632, expected_value: E12000004, label: geography} + - {column: D, row: 5632, expected_value: All persons, label: sex} + - {column: E, row: 5632, expected_value: Self-employed, label: employment type} + - {column: J, row: 5632, expected_value: Value, label: measure} + - {column: L, row: 5633, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5634 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5634, expected_value: E12000004, label: geography} + - {column: D, row: 5634, expected_value: All persons, label: sex} + - {column: E, row: 5634, expected_value: Self-employed, label: employment type} + - {column: J, row: 5634, expected_value: Value, label: measure} + - {column: L, row: 5635, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5636 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5636, expected_value: E12000004, label: geography} + - {column: D, row: 5636, expected_value: All persons, label: sex} + - {column: E, row: 5636, expected_value: Self-employed, label: employment type} + - {column: J, row: 5636, expected_value: Value, label: measure} + - {column: L, row: 5637, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5638 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5638, expected_value: E12000004, label: geography} + - {column: D, row: 5638, expected_value: All persons, label: sex} + - {column: E, row: 5638, expected_value: Self-employed, label: employment type} + - {column: J, row: 5638, expected_value: Value, label: measure} + - {column: L, row: 5639, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5640 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5640, expected_value: E12000004, label: geography} + - {column: D, row: 5640, expected_value: All persons, label: sex} + - {column: E, row: 5640, expected_value: Self-employed, label: employment type} + - {column: J, row: 5640, expected_value: Value, label: measure} + - {column: L, row: 5641, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5644 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5644, expected_value: E12000004, label: geography} + - {column: D, row: 5644, expected_value: All persons, label: sex} + - {column: E, row: 5644, expected_value: Self-employed, label: employment type} + - {column: J, row: 5644, expected_value: Value, label: measure} + - {column: L, row: 5645, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5646 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5646, expected_value: E12000004, label: geography} + - {column: D, row: 5646, expected_value: All persons, label: sex} + - {column: E, row: 5646, expected_value: Self-employed, label: employment type} + - {column: J, row: 5646, expected_value: Value, label: measure} + - {column: L, row: 5647, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5648 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5648, expected_value: E12000004, label: geography} + - {column: D, row: 5648, expected_value: All persons, label: sex} + - {column: E, row: 5648, expected_value: Self-employed, label: employment type} + - {column: J, row: 5648, expected_value: Value, label: measure} + - {column: L, row: 5649, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5650 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5650, expected_value: E12000004, label: geography} + - {column: D, row: 5650, expected_value: All persons, label: sex} + - {column: E, row: 5650, expected_value: Self-employed, label: employment type} + - {column: J, row: 5650, expected_value: Value, label: measure} + - {column: L, row: 5651, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5652 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5652, expected_value: E12000004, label: geography} + - {column: D, row: 5652, expected_value: All persons, label: sex} + - {column: E, row: 5652, expected_value: Self-employed, label: employment type} + - {column: J, row: 5652, expected_value: Value, label: measure} + - {column: L, row: 5653, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5654 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5654, expected_value: E12000004, label: geography} + - {column: D, row: 5654, expected_value: All persons, label: sex} + - {column: E, row: 5654, expected_value: Self-employed, label: employment type} + - {column: J, row: 5654, expected_value: Value, label: measure} + - {column: L, row: 5655, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5656 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5656, expected_value: E12000004, label: geography} + - {column: D, row: 5656, expected_value: All persons, label: sex} + - {column: E, row: 5656, expected_value: Self-employed, label: employment type} + - {column: J, row: 5656, expected_value: Value, label: measure} + - {column: L, row: 5657, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5658 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5658, expected_value: E12000004, label: geography} + - {column: D, row: 5658, expected_value: All persons, label: sex} + - {column: E, row: 5658, expected_value: Self-employed, label: employment type} + - {column: J, row: 5658, expected_value: Value, label: measure} + - {column: L, row: 5659, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5660 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5660, expected_value: E12000004, label: geography} + - {column: D, row: 5660, expected_value: All persons, label: sex} + - {column: E, row: 5660, expected_value: Self-employed, label: employment type} + - {column: J, row: 5660, expected_value: Value, label: measure} + - {column: L, row: 5661, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5662 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5662, expected_value: E12000004, label: geography} + - {column: D, row: 5662, expected_value: All persons, label: sex} + - {column: E, row: 5662, expected_value: Self-employed, label: employment type} + - {column: J, row: 5662, expected_value: Value, label: measure} + - {column: L, row: 5663, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5664 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5664, expected_value: E12000004, label: geography} + - {column: D, row: 5664, expected_value: All persons, label: sex} + - {column: E, row: 5664, expected_value: Self-employed, label: employment type} + - {column: J, row: 5664, expected_value: Value, label: measure} + - {column: L, row: 5665, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5666 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5666, expected_value: E12000004, label: geography} + - {column: D, row: 5666, expected_value: All persons, label: sex} + - {column: E, row: 5666, expected_value: Self-employed, label: employment type} + - {column: J, row: 5666, expected_value: Value, label: measure} + - {column: L, row: 5667, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5668 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5668, expected_value: E12000004, label: geography} + - {column: D, row: 5668, expected_value: All persons, label: sex} + - {column: E, row: 5668, expected_value: Self-employed, label: employment type} + - {column: J, row: 5668, expected_value: Value, label: measure} + - {column: L, row: 5669, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5672 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5672, expected_value: E12000004, label: geography} + - {column: D, row: 5672, expected_value: All persons, label: sex} + - {column: E, row: 5672, expected_value: Self-employed, label: employment type} + - {column: J, row: 5672, expected_value: Value, label: measure} + - {column: L, row: 5673, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5674 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5674, expected_value: E12000004, label: geography} + - {column: D, row: 5674, expected_value: All persons, label: sex} + - {column: E, row: 5674, expected_value: Self-employed, label: employment type} + - {column: J, row: 5674, expected_value: Value, label: measure} + - {column: L, row: 5675, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5678 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5678, expected_value: E12000004, label: geography} + - {column: D, row: 5678, expected_value: All persons, label: sex} + - {column: E, row: 5678, expected_value: Self-employed, label: employment type} + - {column: J, row: 5678, expected_value: Value, label: measure} + - {column: L, row: 5679, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5680 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5680, expected_value: E12000004, label: geography} + - {column: D, row: 5680, expected_value: All persons, label: sex} + - {column: E, row: 5680, expected_value: Self-employed, label: employment type} + - {column: J, row: 5680, expected_value: Value, label: measure} + - {column: L, row: 5681, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5682 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5682, expected_value: E12000004, label: geography} + - {column: D, row: 5682, expected_value: All persons, label: sex} + - {column: E, row: 5682, expected_value: Self-employed, label: employment type} + - {column: J, row: 5682, expected_value: Value, label: measure} + - {column: L, row: 5683, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5684 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5684, expected_value: E12000004, label: geography} + - {column: D, row: 5684, expected_value: All persons, label: sex} + - {column: E, row: 5684, expected_value: Self-employed, label: employment type} + - {column: J, row: 5684, expected_value: Value, label: measure} + - {column: L, row: 5685, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5686 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5686, expected_value: E12000004, label: geography} + - {column: D, row: 5686, expected_value: All persons, label: sex} + - {column: E, row: 5686, expected_value: Self-employed, label: employment type} + - {column: J, row: 5686, expected_value: Value, label: measure} + - {column: L, row: 5687, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5688 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5688, expected_value: E12000004, label: geography} + - {column: D, row: 5688, expected_value: All persons, label: sex} + - {column: E, row: 5688, expected_value: Self-employed, label: employment type} + - {column: J, row: 5688, expected_value: Value, label: measure} + - {column: L, row: 5689, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5619 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5619, expected_value: E12000004, label: geography} + - {column: D, row: 5619, expected_value: All persons, label: sex} + - {column: E, row: 5619, expected_value: Self-employed, label: employment type} + - {column: J, row: 5619, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5621 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5621, expected_value: E12000004, label: geography} + - {column: D, row: 5621, expected_value: All persons, label: sex} + - {column: E, row: 5621, expected_value: Self-employed, label: employment type} + - {column: J, row: 5621, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5623 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5623, expected_value: E12000004, label: geography} + - {column: D, row: 5623, expected_value: All persons, label: sex} + - {column: E, row: 5623, expected_value: Self-employed, label: employment type} + - {column: J, row: 5623, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5625 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5625, expected_value: E12000004, label: geography} + - {column: D, row: 5625, expected_value: All persons, label: sex} + - {column: E, row: 5625, expected_value: Self-employed, label: employment type} + - {column: J, row: 5625, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5627 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5627, expected_value: E12000004, label: geography} + - {column: D, row: 5627, expected_value: All persons, label: sex} + - {column: E, row: 5627, expected_value: Self-employed, label: employment type} + - {column: J, row: 5627, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5629 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5629, expected_value: E12000004, label: geography} + - {column: D, row: 5629, expected_value: All persons, label: sex} + - {column: E, row: 5629, expected_value: Self-employed, label: employment type} + - {column: J, row: 5629, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5631 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5631, expected_value: E12000004, label: geography} + - {column: D, row: 5631, expected_value: All persons, label: sex} + - {column: E, row: 5631, expected_value: Self-employed, label: employment type} + - {column: J, row: 5631, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5633 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5633, expected_value: E12000004, label: geography} + - {column: D, row: 5633, expected_value: All persons, label: sex} + - {column: E, row: 5633, expected_value: Self-employed, label: employment type} + - {column: J, row: 5633, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5635 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5635, expected_value: E12000004, label: geography} + - {column: D, row: 5635, expected_value: All persons, label: sex} + - {column: E, row: 5635, expected_value: Self-employed, label: employment type} + - {column: J, row: 5635, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5637 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5637, expected_value: E12000004, label: geography} + - {column: D, row: 5637, expected_value: All persons, label: sex} + - {column: E, row: 5637, expected_value: Self-employed, label: employment type} + - {column: J, row: 5637, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5645 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5645, expected_value: E12000004, label: geography} + - {column: D, row: 5645, expected_value: All persons, label: sex} + - {column: E, row: 5645, expected_value: Self-employed, label: employment type} + - {column: J, row: 5645, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5647 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5647, expected_value: E12000004, label: geography} + - {column: D, row: 5647, expected_value: All persons, label: sex} + - {column: E, row: 5647, expected_value: Self-employed, label: employment type} + - {column: J, row: 5647, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5649 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5649, expected_value: E12000004, label: geography} + - {column: D, row: 5649, expected_value: All persons, label: sex} + - {column: E, row: 5649, expected_value: Self-employed, label: employment type} + - {column: J, row: 5649, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5651 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5651, expected_value: E12000004, label: geography} + - {column: D, row: 5651, expected_value: All persons, label: sex} + - {column: E, row: 5651, expected_value: Self-employed, label: employment type} + - {column: J, row: 5651, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5655 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5655, expected_value: E12000004, label: geography} + - {column: D, row: 5655, expected_value: All persons, label: sex} + - {column: E, row: 5655, expected_value: Self-employed, label: employment type} + - {column: J, row: 5655, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5657 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5657, expected_value: E12000004, label: geography} + - {column: D, row: 5657, expected_value: All persons, label: sex} + - {column: E, row: 5657, expected_value: Self-employed, label: employment type} + - {column: J, row: 5657, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5659 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5659, expected_value: E12000004, label: geography} + - {column: D, row: 5659, expected_value: All persons, label: sex} + - {column: E, row: 5659, expected_value: Self-employed, label: employment type} + - {column: J, row: 5659, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5661 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5661, expected_value: E12000004, label: geography} + - {column: D, row: 5661, expected_value: All persons, label: sex} + - {column: E, row: 5661, expected_value: Self-employed, label: employment type} + - {column: J, row: 5661, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5663 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5663, expected_value: E12000004, label: geography} + - {column: D, row: 5663, expected_value: All persons, label: sex} + - {column: E, row: 5663, expected_value: Self-employed, label: employment type} + - {column: J, row: 5663, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5665 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5665, expected_value: E12000004, label: geography} + - {column: D, row: 5665, expected_value: All persons, label: sex} + - {column: E, row: 5665, expected_value: Self-employed, label: employment type} + - {column: J, row: 5665, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5667 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5667, expected_value: E12000004, label: geography} + - {column: D, row: 5667, expected_value: All persons, label: sex} + - {column: E, row: 5667, expected_value: Self-employed, label: employment type} + - {column: J, row: 5667, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5669 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5669, expected_value: E12000004, label: geography} + - {column: D, row: 5669, expected_value: All persons, label: sex} + - {column: E, row: 5669, expected_value: Self-employed, label: employment type} + - {column: J, row: 5669, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5673 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5673, expected_value: E12000004, label: geography} + - {column: D, row: 5673, expected_value: All persons, label: sex} + - {column: E, row: 5673, expected_value: Self-employed, label: employment type} + - {column: J, row: 5673, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5675 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5675, expected_value: E12000004, label: geography} + - {column: D, row: 5675, expected_value: All persons, label: sex} + - {column: E, row: 5675, expected_value: Self-employed, label: employment type} + - {column: J, row: 5675, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5679 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5679, expected_value: E12000004, label: geography} + - {column: D, row: 5679, expected_value: All persons, label: sex} + - {column: E, row: 5679, expected_value: Self-employed, label: employment type} + - {column: J, row: 5679, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5683 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5683, expected_value: E12000004, label: geography} + - {column: D, row: 5683, expected_value: All persons, label: sex} + - {column: E, row: 5683, expected_value: Self-employed, label: employment type} + - {column: J, row: 5683, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5685 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5685, expected_value: E12000004, label: geography} + - {column: D, row: 5685, expected_value: All persons, label: sex} + - {column: E, row: 5685, expected_value: Self-employed, label: employment type} + - {column: J, row: 5685, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5689 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5689, expected_value: E12000004, label: geography} + - {column: D, row: 5689, expected_value: All persons, label: sex} + - {column: E, row: 5689, expected_value: Self-employed, label: employment type} + - {column: J, row: 5689, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5258 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5258, expected_value: E12000004, label: geography} + - {column: D, row: 5258, expected_value: Males, label: sex} + - {column: E, row: 5258, expected_value: Total, label: employment type} + - {column: J, row: 5258, expected_value: Value, label: measure} + - {column: L, row: 5259, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5260 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5260, expected_value: E12000004, label: geography} + - {column: D, row: 5260, expected_value: Males, label: sex} + - {column: E, row: 5260, expected_value: Total, label: employment type} + - {column: J, row: 5260, expected_value: Value, label: measure} + - {column: L, row: 5261, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5262 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5262, expected_value: E12000004, label: geography} + - {column: D, row: 5262, expected_value: Males, label: sex} + - {column: E, row: 5262, expected_value: Total, label: employment type} + - {column: J, row: 5262, expected_value: Value, label: measure} + - {column: L, row: 5263, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5264 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5264, expected_value: E12000004, label: geography} + - {column: D, row: 5264, expected_value: Males, label: sex} + - {column: E, row: 5264, expected_value: Total, label: employment type} + - {column: J, row: 5264, expected_value: Value, label: measure} + - {column: L, row: 5265, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5266 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5266, expected_value: E12000004, label: geography} + - {column: D, row: 5266, expected_value: Males, label: sex} + - {column: E, row: 5266, expected_value: Total, label: employment type} + - {column: J, row: 5266, expected_value: Value, label: measure} + - {column: L, row: 5267, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5268 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5268, expected_value: E12000004, label: geography} + - {column: D, row: 5268, expected_value: Males, label: sex} + - {column: E, row: 5268, expected_value: Total, label: employment type} + - {column: J, row: 5268, expected_value: Value, label: measure} + - {column: L, row: 5269, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5270 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5270, expected_value: E12000004, label: geography} + - {column: D, row: 5270, expected_value: Males, label: sex} + - {column: E, row: 5270, expected_value: Total, label: employment type} + - {column: J, row: 5270, expected_value: Value, label: measure} + - {column: L, row: 5271, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5272 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5272, expected_value: E12000004, label: geography} + - {column: D, row: 5272, expected_value: Males, label: sex} + - {column: E, row: 5272, expected_value: Total, label: employment type} + - {column: J, row: 5272, expected_value: Value, label: measure} + - {column: L, row: 5273, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5274 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5274, expected_value: E12000004, label: geography} + - {column: D, row: 5274, expected_value: Males, label: sex} + - {column: E, row: 5274, expected_value: Total, label: employment type} + - {column: J, row: 5274, expected_value: Value, label: measure} + - {column: L, row: 5275, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5276 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5276, expected_value: E12000004, label: geography} + - {column: D, row: 5276, expected_value: Males, label: sex} + - {column: E, row: 5276, expected_value: Total, label: employment type} + - {column: J, row: 5276, expected_value: Value, label: measure} + - {column: L, row: 5277, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5278 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5278, expected_value: E12000004, label: geography} + - {column: D, row: 5278, expected_value: Males, label: sex} + - {column: E, row: 5278, expected_value: Total, label: employment type} + - {column: J, row: 5278, expected_value: Value, label: measure} + - {column: L, row: 5279, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5280 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5280, expected_value: E12000004, label: geography} + - {column: D, row: 5280, expected_value: Males, label: sex} + - {column: E, row: 5280, expected_value: Total, label: employment type} + - {column: J, row: 5280, expected_value: Value, label: measure} + - {column: L, row: 5281, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5282 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5282, expected_value: E12000004, label: geography} + - {column: D, row: 5282, expected_value: Males, label: sex} + - {column: E, row: 5282, expected_value: Total, label: employment type} + - {column: J, row: 5282, expected_value: Value, label: measure} + - {column: L, row: 5283, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5284 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5284, expected_value: E12000004, label: geography} + - {column: D, row: 5284, expected_value: Males, label: sex} + - {column: E, row: 5284, expected_value: Total, label: employment type} + - {column: J, row: 5284, expected_value: Value, label: measure} + - {column: L, row: 5285, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5286 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5286, expected_value: E12000004, label: geography} + - {column: D, row: 5286, expected_value: Males, label: sex} + - {column: E, row: 5286, expected_value: Total, label: employment type} + - {column: J, row: 5286, expected_value: Value, label: measure} + - {column: L, row: 5287, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5288 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5288, expected_value: E12000004, label: geography} + - {column: D, row: 5288, expected_value: Males, label: sex} + - {column: E, row: 5288, expected_value: Total, label: employment type} + - {column: J, row: 5288, expected_value: Value, label: measure} + - {column: L, row: 5289, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5290 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5290, expected_value: E12000004, label: geography} + - {column: D, row: 5290, expected_value: Males, label: sex} + - {column: E, row: 5290, expected_value: Total, label: employment type} + - {column: J, row: 5290, expected_value: Value, label: measure} + - {column: L, row: 5291, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5292 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5292, expected_value: E12000004, label: geography} + - {column: D, row: 5292, expected_value: Males, label: sex} + - {column: E, row: 5292, expected_value: Total, label: employment type} + - {column: J, row: 5292, expected_value: Value, label: measure} + - {column: L, row: 5293, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5294 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5294, expected_value: E12000004, label: geography} + - {column: D, row: 5294, expected_value: Males, label: sex} + - {column: E, row: 5294, expected_value: Total, label: employment type} + - {column: J, row: 5294, expected_value: Value, label: measure} + - {column: L, row: 5295, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5296 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5296, expected_value: E12000004, label: geography} + - {column: D, row: 5296, expected_value: Males, label: sex} + - {column: E, row: 5296, expected_value: Total, label: employment type} + - {column: J, row: 5296, expected_value: Value, label: measure} + - {column: L, row: 5297, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5298 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5298, expected_value: E12000004, label: geography} + - {column: D, row: 5298, expected_value: Males, label: sex} + - {column: E, row: 5298, expected_value: Total, label: employment type} + - {column: J, row: 5298, expected_value: Value, label: measure} + - {column: L, row: 5299, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5300 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5300, expected_value: E12000004, label: geography} + - {column: D, row: 5300, expected_value: Males, label: sex} + - {column: E, row: 5300, expected_value: Total, label: employment type} + - {column: J, row: 5300, expected_value: Value, label: measure} + - {column: L, row: 5301, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5302 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5302, expected_value: E12000004, label: geography} + - {column: D, row: 5302, expected_value: Males, label: sex} + - {column: E, row: 5302, expected_value: Total, label: employment type} + - {column: J, row: 5302, expected_value: Value, label: measure} + - {column: L, row: 5303, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5304 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5304, expected_value: E12000004, label: geography} + - {column: D, row: 5304, expected_value: Males, label: sex} + - {column: E, row: 5304, expected_value: Total, label: employment type} + - {column: J, row: 5304, expected_value: Value, label: measure} + - {column: L, row: 5305, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5306 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5306, expected_value: E12000004, label: geography} + - {column: D, row: 5306, expected_value: Males, label: sex} + - {column: E, row: 5306, expected_value: Total, label: employment type} + - {column: J, row: 5306, expected_value: Value, label: measure} + - {column: L, row: 5307, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5308 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5308, expected_value: E12000004, label: geography} + - {column: D, row: 5308, expected_value: Males, label: sex} + - {column: E, row: 5308, expected_value: Total, label: employment type} + - {column: J, row: 5308, expected_value: Value, label: measure} + - {column: L, row: 5309, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5312 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5312, expected_value: E12000004, label: geography} + - {column: D, row: 5312, expected_value: Males, label: sex} + - {column: E, row: 5312, expected_value: Total, label: employment type} + - {column: J, row: 5312, expected_value: Value, label: measure} + - {column: L, row: 5313, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5314 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5314, expected_value: E12000004, label: geography} + - {column: D, row: 5314, expected_value: Males, label: sex} + - {column: E, row: 5314, expected_value: Total, label: employment type} + - {column: J, row: 5314, expected_value: Value, label: measure} + - {column: L, row: 5315, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5316 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5316, expected_value: E12000004, label: geography} + - {column: D, row: 5316, expected_value: Males, label: sex} + - {column: E, row: 5316, expected_value: Total, label: employment type} + - {column: J, row: 5316, expected_value: Value, label: measure} + - {column: L, row: 5317, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5318 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5318, expected_value: E12000004, label: geography} + - {column: D, row: 5318, expected_value: Males, label: sex} + - {column: E, row: 5318, expected_value: Total, label: employment type} + - {column: J, row: 5318, expected_value: Value, label: measure} + - {column: L, row: 5319, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5320 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5320, expected_value: E12000004, label: geography} + - {column: D, row: 5320, expected_value: Males, label: sex} + - {column: E, row: 5320, expected_value: Total, label: employment type} + - {column: J, row: 5320, expected_value: Value, label: measure} + - {column: L, row: 5321, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5322 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5322, expected_value: E12000004, label: geography} + - {column: D, row: 5322, expected_value: Males, label: sex} + - {column: E, row: 5322, expected_value: Total, label: employment type} + - {column: J, row: 5322, expected_value: Value, label: measure} + - {column: L, row: 5323, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5324 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5324, expected_value: E12000004, label: geography} + - {column: D, row: 5324, expected_value: Males, label: sex} + - {column: E, row: 5324, expected_value: Total, label: employment type} + - {column: J, row: 5324, expected_value: Value, label: measure} + - {column: L, row: 5325, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5326 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5326, expected_value: E12000004, label: geography} + - {column: D, row: 5326, expected_value: Males, label: sex} + - {column: E, row: 5326, expected_value: Total, label: employment type} + - {column: J, row: 5326, expected_value: Value, label: measure} + - {column: L, row: 5327, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5328 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5328, expected_value: E12000004, label: geography} + - {column: D, row: 5328, expected_value: Males, label: sex} + - {column: E, row: 5328, expected_value: Total, label: employment type} + - {column: J, row: 5328, expected_value: Value, label: measure} + - {column: L, row: 5329, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5259 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5259, expected_value: E12000004, label: geography} + - {column: D, row: 5259, expected_value: Males, label: sex} + - {column: E, row: 5259, expected_value: Total, label: employment type} + - {column: J, row: 5259, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5261 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5261, expected_value: E12000004, label: geography} + - {column: D, row: 5261, expected_value: Males, label: sex} + - {column: E, row: 5261, expected_value: Total, label: employment type} + - {column: J, row: 5261, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5263 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5263, expected_value: E12000004, label: geography} + - {column: D, row: 5263, expected_value: Males, label: sex} + - {column: E, row: 5263, expected_value: Total, label: employment type} + - {column: J, row: 5263, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5265 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5265, expected_value: E12000004, label: geography} + - {column: D, row: 5265, expected_value: Males, label: sex} + - {column: E, row: 5265, expected_value: Total, label: employment type} + - {column: J, row: 5265, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5267 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5267, expected_value: E12000004, label: geography} + - {column: D, row: 5267, expected_value: Males, label: sex} + - {column: E, row: 5267, expected_value: Total, label: employment type} + - {column: J, row: 5267, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5269 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5269, expected_value: E12000004, label: geography} + - {column: D, row: 5269, expected_value: Males, label: sex} + - {column: E, row: 5269, expected_value: Total, label: employment type} + - {column: J, row: 5269, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5271 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5271, expected_value: E12000004, label: geography} + - {column: D, row: 5271, expected_value: Males, label: sex} + - {column: E, row: 5271, expected_value: Total, label: employment type} + - {column: J, row: 5271, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5273 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5273, expected_value: E12000004, label: geography} + - {column: D, row: 5273, expected_value: Males, label: sex} + - {column: E, row: 5273, expected_value: Total, label: employment type} + - {column: J, row: 5273, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5275 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5275, expected_value: E12000004, label: geography} + - {column: D, row: 5275, expected_value: Males, label: sex} + - {column: E, row: 5275, expected_value: Total, label: employment type} + - {column: J, row: 5275, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5277 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5277, expected_value: E12000004, label: geography} + - {column: D, row: 5277, expected_value: Males, label: sex} + - {column: E, row: 5277, expected_value: Total, label: employment type} + - {column: J, row: 5277, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5279 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5279, expected_value: E12000004, label: geography} + - {column: D, row: 5279, expected_value: Males, label: sex} + - {column: E, row: 5279, expected_value: Total, label: employment type} + - {column: J, row: 5279, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5281 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5281, expected_value: E12000004, label: geography} + - {column: D, row: 5281, expected_value: Males, label: sex} + - {column: E, row: 5281, expected_value: Total, label: employment type} + - {column: J, row: 5281, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5283 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5283, expected_value: E12000004, label: geography} + - {column: D, row: 5283, expected_value: Males, label: sex} + - {column: E, row: 5283, expected_value: Total, label: employment type} + - {column: J, row: 5283, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5285 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5285, expected_value: E12000004, label: geography} + - {column: D, row: 5285, expected_value: Males, label: sex} + - {column: E, row: 5285, expected_value: Total, label: employment type} + - {column: J, row: 5285, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5287 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5287, expected_value: E12000004, label: geography} + - {column: D, row: 5287, expected_value: Males, label: sex} + - {column: E, row: 5287, expected_value: Total, label: employment type} + - {column: J, row: 5287, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5289 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5289, expected_value: E12000004, label: geography} + - {column: D, row: 5289, expected_value: Males, label: sex} + - {column: E, row: 5289, expected_value: Total, label: employment type} + - {column: J, row: 5289, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5291 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5291, expected_value: E12000004, label: geography} + - {column: D, row: 5291, expected_value: Males, label: sex} + - {column: E, row: 5291, expected_value: Total, label: employment type} + - {column: J, row: 5291, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5295 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5295, expected_value: E12000004, label: geography} + - {column: D, row: 5295, expected_value: Males, label: sex} + - {column: E, row: 5295, expected_value: Total, label: employment type} + - {column: J, row: 5295, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5297 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5297, expected_value: E12000004, label: geography} + - {column: D, row: 5297, expected_value: Males, label: sex} + - {column: E, row: 5297, expected_value: Total, label: employment type} + - {column: J, row: 5297, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5299 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5299, expected_value: E12000004, label: geography} + - {column: D, row: 5299, expected_value: Males, label: sex} + - {column: E, row: 5299, expected_value: Total, label: employment type} + - {column: J, row: 5299, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5301 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5301, expected_value: E12000004, label: geography} + - {column: D, row: 5301, expected_value: Males, label: sex} + - {column: E, row: 5301, expected_value: Total, label: employment type} + - {column: J, row: 5301, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5303 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5303, expected_value: E12000004, label: geography} + - {column: D, row: 5303, expected_value: Males, label: sex} + - {column: E, row: 5303, expected_value: Total, label: employment type} + - {column: J, row: 5303, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5305 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5305, expected_value: E12000004, label: geography} + - {column: D, row: 5305, expected_value: Males, label: sex} + - {column: E, row: 5305, expected_value: Total, label: employment type} + - {column: J, row: 5305, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5307 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5307, expected_value: E12000004, label: geography} + - {column: D, row: 5307, expected_value: Males, label: sex} + - {column: E, row: 5307, expected_value: Total, label: employment type} + - {column: J, row: 5307, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5309 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5309, expected_value: E12000004, label: geography} + - {column: D, row: 5309, expected_value: Males, label: sex} + - {column: E, row: 5309, expected_value: Total, label: employment type} + - {column: J, row: 5309, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5313 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5313, expected_value: E12000004, label: geography} + - {column: D, row: 5313, expected_value: Males, label: sex} + - {column: E, row: 5313, expected_value: Total, label: employment type} + - {column: J, row: 5313, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5315 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5315, expected_value: E12000004, label: geography} + - {column: D, row: 5315, expected_value: Males, label: sex} + - {column: E, row: 5315, expected_value: Total, label: employment type} + - {column: J, row: 5315, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5317 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5317, expected_value: E12000004, label: geography} + - {column: D, row: 5317, expected_value: Males, label: sex} + - {column: E, row: 5317, expected_value: Total, label: employment type} + - {column: J, row: 5317, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5319 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5319, expected_value: E12000004, label: geography} + - {column: D, row: 5319, expected_value: Males, label: sex} + - {column: E, row: 5319, expected_value: Total, label: employment type} + - {column: J, row: 5319, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5321 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5321, expected_value: E12000004, label: geography} + - {column: D, row: 5321, expected_value: Males, label: sex} + - {column: E, row: 5321, expected_value: Total, label: employment type} + - {column: J, row: 5321, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5323 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5323, expected_value: E12000004, label: geography} + - {column: D, row: 5323, expected_value: Males, label: sex} + - {column: E, row: 5323, expected_value: Total, label: employment type} + - {column: J, row: 5323, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5325 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5325, expected_value: E12000004, label: geography} + - {column: D, row: 5325, expected_value: Males, label: sex} + - {column: E, row: 5325, expected_value: Total, label: employment type} + - {column: J, row: 5325, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5327 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5327, expected_value: E12000004, label: geography} + - {column: D, row: 5327, expected_value: Males, label: sex} + - {column: E, row: 5327, expected_value: Total, label: employment type} + - {column: J, row: 5327, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5329 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5329, expected_value: E12000004, label: geography} + - {column: D, row: 5329, expected_value: Males, label: sex} + - {column: E, row: 5329, expected_value: Total, label: employment type} + - {column: J, row: 5329, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5474 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5474, expected_value: E12000004, label: geography} + - {column: D, row: 5474, expected_value: Males, label: sex} + - {column: E, row: 5474, expected_value: Employee, label: employment type} + - {column: J, row: 5474, expected_value: Value, label: measure} + - {column: L, row: 5475, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5476 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5476, expected_value: E12000004, label: geography} + - {column: D, row: 5476, expected_value: Males, label: sex} + - {column: E, row: 5476, expected_value: Employee, label: employment type} + - {column: J, row: 5476, expected_value: Value, label: measure} + - {column: L, row: 5477, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5478 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5478, expected_value: E12000004, label: geography} + - {column: D, row: 5478, expected_value: Males, label: sex} + - {column: E, row: 5478, expected_value: Employee, label: employment type} + - {column: J, row: 5478, expected_value: Value, label: measure} + - {column: L, row: 5479, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5480 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5480, expected_value: E12000004, label: geography} + - {column: D, row: 5480, expected_value: Males, label: sex} + - {column: E, row: 5480, expected_value: Employee, label: employment type} + - {column: J, row: 5480, expected_value: Value, label: measure} + - {column: L, row: 5481, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5482 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5482, expected_value: E12000004, label: geography} + - {column: D, row: 5482, expected_value: Males, label: sex} + - {column: E, row: 5482, expected_value: Employee, label: employment type} + - {column: J, row: 5482, expected_value: Value, label: measure} + - {column: L, row: 5483, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5484 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5484, expected_value: E12000004, label: geography} + - {column: D, row: 5484, expected_value: Males, label: sex} + - {column: E, row: 5484, expected_value: Employee, label: employment type} + - {column: J, row: 5484, expected_value: Value, label: measure} + - {column: L, row: 5485, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5486 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5486, expected_value: E12000004, label: geography} + - {column: D, row: 5486, expected_value: Males, label: sex} + - {column: E, row: 5486, expected_value: Employee, label: employment type} + - {column: J, row: 5486, expected_value: Value, label: measure} + - {column: L, row: 5487, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5488 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5488, expected_value: E12000004, label: geography} + - {column: D, row: 5488, expected_value: Males, label: sex} + - {column: E, row: 5488, expected_value: Employee, label: employment type} + - {column: J, row: 5488, expected_value: Value, label: measure} + - {column: L, row: 5489, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5490 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5490, expected_value: E12000004, label: geography} + - {column: D, row: 5490, expected_value: Males, label: sex} + - {column: E, row: 5490, expected_value: Employee, label: employment type} + - {column: J, row: 5490, expected_value: Value, label: measure} + - {column: L, row: 5491, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5492 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5492, expected_value: E12000004, label: geography} + - {column: D, row: 5492, expected_value: Males, label: sex} + - {column: E, row: 5492, expected_value: Employee, label: employment type} + - {column: J, row: 5492, expected_value: Value, label: measure} + - {column: L, row: 5493, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5494 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5494, expected_value: E12000004, label: geography} + - {column: D, row: 5494, expected_value: Males, label: sex} + - {column: E, row: 5494, expected_value: Employee, label: employment type} + - {column: J, row: 5494, expected_value: Value, label: measure} + - {column: L, row: 5495, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5496 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5496, expected_value: E12000004, label: geography} + - {column: D, row: 5496, expected_value: Males, label: sex} + - {column: E, row: 5496, expected_value: Employee, label: employment type} + - {column: J, row: 5496, expected_value: Value, label: measure} + - {column: L, row: 5497, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5498 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5498, expected_value: E12000004, label: geography} + - {column: D, row: 5498, expected_value: Males, label: sex} + - {column: E, row: 5498, expected_value: Employee, label: employment type} + - {column: J, row: 5498, expected_value: Value, label: measure} + - {column: L, row: 5499, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5500 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5500, expected_value: E12000004, label: geography} + - {column: D, row: 5500, expected_value: Males, label: sex} + - {column: E, row: 5500, expected_value: Employee, label: employment type} + - {column: J, row: 5500, expected_value: Value, label: measure} + - {column: L, row: 5501, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5502 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5502, expected_value: E12000004, label: geography} + - {column: D, row: 5502, expected_value: Males, label: sex} + - {column: E, row: 5502, expected_value: Employee, label: employment type} + - {column: J, row: 5502, expected_value: Value, label: measure} + - {column: L, row: 5503, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5504 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5504, expected_value: E12000004, label: geography} + - {column: D, row: 5504, expected_value: Males, label: sex} + - {column: E, row: 5504, expected_value: Employee, label: employment type} + - {column: J, row: 5504, expected_value: Value, label: measure} + - {column: L, row: 5505, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5506 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5506, expected_value: E12000004, label: geography} + - {column: D, row: 5506, expected_value: Males, label: sex} + - {column: E, row: 5506, expected_value: Employee, label: employment type} + - {column: J, row: 5506, expected_value: Value, label: measure} + - {column: L, row: 5507, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5508 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5508, expected_value: E12000004, label: geography} + - {column: D, row: 5508, expected_value: Males, label: sex} + - {column: E, row: 5508, expected_value: Employee, label: employment type} + - {column: J, row: 5508, expected_value: Value, label: measure} + - {column: L, row: 5509, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5510 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5510, expected_value: E12000004, label: geography} + - {column: D, row: 5510, expected_value: Males, label: sex} + - {column: E, row: 5510, expected_value: Employee, label: employment type} + - {column: J, row: 5510, expected_value: Value, label: measure} + - {column: L, row: 5511, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5512 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5512, expected_value: E12000004, label: geography} + - {column: D, row: 5512, expected_value: Males, label: sex} + - {column: E, row: 5512, expected_value: Employee, label: employment type} + - {column: J, row: 5512, expected_value: Value, label: measure} + - {column: L, row: 5513, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5514 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5514, expected_value: E12000004, label: geography} + - {column: D, row: 5514, expected_value: Males, label: sex} + - {column: E, row: 5514, expected_value: Employee, label: employment type} + - {column: J, row: 5514, expected_value: Value, label: measure} + - {column: L, row: 5515, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5516 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5516, expected_value: E12000004, label: geography} + - {column: D, row: 5516, expected_value: Males, label: sex} + - {column: E, row: 5516, expected_value: Employee, label: employment type} + - {column: J, row: 5516, expected_value: Value, label: measure} + - {column: L, row: 5517, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5518 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5518, expected_value: E12000004, label: geography} + - {column: D, row: 5518, expected_value: Males, label: sex} + - {column: E, row: 5518, expected_value: Employee, label: employment type} + - {column: J, row: 5518, expected_value: Value, label: measure} + - {column: L, row: 5519, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5520 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5520, expected_value: E12000004, label: geography} + - {column: D, row: 5520, expected_value: Males, label: sex} + - {column: E, row: 5520, expected_value: Employee, label: employment type} + - {column: J, row: 5520, expected_value: Value, label: measure} + - {column: L, row: 5521, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5522 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5522, expected_value: E12000004, label: geography} + - {column: D, row: 5522, expected_value: Males, label: sex} + - {column: E, row: 5522, expected_value: Employee, label: employment type} + - {column: J, row: 5522, expected_value: Value, label: measure} + - {column: L, row: 5523, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5524 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5524, expected_value: E12000004, label: geography} + - {column: D, row: 5524, expected_value: Males, label: sex} + - {column: E, row: 5524, expected_value: Employee, label: employment type} + - {column: J, row: 5524, expected_value: Value, label: measure} + - {column: L, row: 5525, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5528 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5528, expected_value: E12000004, label: geography} + - {column: D, row: 5528, expected_value: Males, label: sex} + - {column: E, row: 5528, expected_value: Employee, label: employment type} + - {column: J, row: 5528, expected_value: Value, label: measure} + - {column: L, row: 5529, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5530 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5530, expected_value: E12000004, label: geography} + - {column: D, row: 5530, expected_value: Males, label: sex} + - {column: E, row: 5530, expected_value: Employee, label: employment type} + - {column: J, row: 5530, expected_value: Value, label: measure} + - {column: L, row: 5531, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5532 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5532, expected_value: E12000004, label: geography} + - {column: D, row: 5532, expected_value: Males, label: sex} + - {column: E, row: 5532, expected_value: Employee, label: employment type} + - {column: J, row: 5532, expected_value: Value, label: measure} + - {column: L, row: 5533, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5534 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5534, expected_value: E12000004, label: geography} + - {column: D, row: 5534, expected_value: Males, label: sex} + - {column: E, row: 5534, expected_value: Employee, label: employment type} + - {column: J, row: 5534, expected_value: Value, label: measure} + - {column: L, row: 5535, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5536 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5536, expected_value: E12000004, label: geography} + - {column: D, row: 5536, expected_value: Males, label: sex} + - {column: E, row: 5536, expected_value: Employee, label: employment type} + - {column: J, row: 5536, expected_value: Value, label: measure} + - {column: L, row: 5537, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5538 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5538, expected_value: E12000004, label: geography} + - {column: D, row: 5538, expected_value: Males, label: sex} + - {column: E, row: 5538, expected_value: Employee, label: employment type} + - {column: J, row: 5538, expected_value: Value, label: measure} + - {column: L, row: 5539, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5540 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5540, expected_value: E12000004, label: geography} + - {column: D, row: 5540, expected_value: Males, label: sex} + - {column: E, row: 5540, expected_value: Employee, label: employment type} + - {column: J, row: 5540, expected_value: Value, label: measure} + - {column: L, row: 5541, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5542 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5542, expected_value: E12000004, label: geography} + - {column: D, row: 5542, expected_value: Males, label: sex} + - {column: E, row: 5542, expected_value: Employee, label: employment type} + - {column: J, row: 5542, expected_value: Value, label: measure} + - {column: L, row: 5543, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5544 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5544, expected_value: E12000004, label: geography} + - {column: D, row: 5544, expected_value: Males, label: sex} + - {column: E, row: 5544, expected_value: Employee, label: employment type} + - {column: J, row: 5544, expected_value: Value, label: measure} + - {column: L, row: 5545, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5475 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5475, expected_value: E12000004, label: geography} + - {column: D, row: 5475, expected_value: Males, label: sex} + - {column: E, row: 5475, expected_value: Employee, label: employment type} + - {column: J, row: 5475, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5477 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5477, expected_value: E12000004, label: geography} + - {column: D, row: 5477, expected_value: Males, label: sex} + - {column: E, row: 5477, expected_value: Employee, label: employment type} + - {column: J, row: 5477, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5479 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5479, expected_value: E12000004, label: geography} + - {column: D, row: 5479, expected_value: Males, label: sex} + - {column: E, row: 5479, expected_value: Employee, label: employment type} + - {column: J, row: 5479, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5481 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5481, expected_value: E12000004, label: geography} + - {column: D, row: 5481, expected_value: Males, label: sex} + - {column: E, row: 5481, expected_value: Employee, label: employment type} + - {column: J, row: 5481, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5483 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5483, expected_value: E12000004, label: geography} + - {column: D, row: 5483, expected_value: Males, label: sex} + - {column: E, row: 5483, expected_value: Employee, label: employment type} + - {column: J, row: 5483, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5485 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5485, expected_value: E12000004, label: geography} + - {column: D, row: 5485, expected_value: Males, label: sex} + - {column: E, row: 5485, expected_value: Employee, label: employment type} + - {column: J, row: 5485, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5487 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5487, expected_value: E12000004, label: geography} + - {column: D, row: 5487, expected_value: Males, label: sex} + - {column: E, row: 5487, expected_value: Employee, label: employment type} + - {column: J, row: 5487, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5489 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5489, expected_value: E12000004, label: geography} + - {column: D, row: 5489, expected_value: Males, label: sex} + - {column: E, row: 5489, expected_value: Employee, label: employment type} + - {column: J, row: 5489, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5491 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5491, expected_value: E12000004, label: geography} + - {column: D, row: 5491, expected_value: Males, label: sex} + - {column: E, row: 5491, expected_value: Employee, label: employment type} + - {column: J, row: 5491, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5493 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5493, expected_value: E12000004, label: geography} + - {column: D, row: 5493, expected_value: Males, label: sex} + - {column: E, row: 5493, expected_value: Employee, label: employment type} + - {column: J, row: 5493, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5495 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5495, expected_value: E12000004, label: geography} + - {column: D, row: 5495, expected_value: Males, label: sex} + - {column: E, row: 5495, expected_value: Employee, label: employment type} + - {column: J, row: 5495, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5497 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5497, expected_value: E12000004, label: geography} + - {column: D, row: 5497, expected_value: Males, label: sex} + - {column: E, row: 5497, expected_value: Employee, label: employment type} + - {column: J, row: 5497, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5499 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5499, expected_value: E12000004, label: geography} + - {column: D, row: 5499, expected_value: Males, label: sex} + - {column: E, row: 5499, expected_value: Employee, label: employment type} + - {column: J, row: 5499, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5501 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5501, expected_value: E12000004, label: geography} + - {column: D, row: 5501, expected_value: Males, label: sex} + - {column: E, row: 5501, expected_value: Employee, label: employment type} + - {column: J, row: 5501, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5503 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5503, expected_value: E12000004, label: geography} + - {column: D, row: 5503, expected_value: Males, label: sex} + - {column: E, row: 5503, expected_value: Employee, label: employment type} + - {column: J, row: 5503, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5505 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5505, expected_value: E12000004, label: geography} + - {column: D, row: 5505, expected_value: Males, label: sex} + - {column: E, row: 5505, expected_value: Employee, label: employment type} + - {column: J, row: 5505, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5507 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5507, expected_value: E12000004, label: geography} + - {column: D, row: 5507, expected_value: Males, label: sex} + - {column: E, row: 5507, expected_value: Employee, label: employment type} + - {column: J, row: 5507, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5511 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5511, expected_value: E12000004, label: geography} + - {column: D, row: 5511, expected_value: Males, label: sex} + - {column: E, row: 5511, expected_value: Employee, label: employment type} + - {column: J, row: 5511, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5513 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5513, expected_value: E12000004, label: geography} + - {column: D, row: 5513, expected_value: Males, label: sex} + - {column: E, row: 5513, expected_value: Employee, label: employment type} + - {column: J, row: 5513, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5515 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5515, expected_value: E12000004, label: geography} + - {column: D, row: 5515, expected_value: Males, label: sex} + - {column: E, row: 5515, expected_value: Employee, label: employment type} + - {column: J, row: 5515, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5517 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5517, expected_value: E12000004, label: geography} + - {column: D, row: 5517, expected_value: Males, label: sex} + - {column: E, row: 5517, expected_value: Employee, label: employment type} + - {column: J, row: 5517, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5519 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5519, expected_value: E12000004, label: geography} + - {column: D, row: 5519, expected_value: Males, label: sex} + - {column: E, row: 5519, expected_value: Employee, label: employment type} + - {column: J, row: 5519, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5521 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5521, expected_value: E12000004, label: geography} + - {column: D, row: 5521, expected_value: Males, label: sex} + - {column: E, row: 5521, expected_value: Employee, label: employment type} + - {column: J, row: 5521, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5523 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5523, expected_value: E12000004, label: geography} + - {column: D, row: 5523, expected_value: Males, label: sex} + - {column: E, row: 5523, expected_value: Employee, label: employment type} + - {column: J, row: 5523, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5525 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5525, expected_value: E12000004, label: geography} + - {column: D, row: 5525, expected_value: Males, label: sex} + - {column: E, row: 5525, expected_value: Employee, label: employment type} + - {column: J, row: 5525, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5529 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5529, expected_value: E12000004, label: geography} + - {column: D, row: 5529, expected_value: Males, label: sex} + - {column: E, row: 5529, expected_value: Employee, label: employment type} + - {column: J, row: 5529, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5531 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5531, expected_value: E12000004, label: geography} + - {column: D, row: 5531, expected_value: Males, label: sex} + - {column: E, row: 5531, expected_value: Employee, label: employment type} + - {column: J, row: 5531, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5533 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5533, expected_value: E12000004, label: geography} + - {column: D, row: 5533, expected_value: Males, label: sex} + - {column: E, row: 5533, expected_value: Employee, label: employment type} + - {column: J, row: 5533, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5535 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5535, expected_value: E12000004, label: geography} + - {column: D, row: 5535, expected_value: Males, label: sex} + - {column: E, row: 5535, expected_value: Employee, label: employment type} + - {column: J, row: 5535, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5537 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5537, expected_value: E12000004, label: geography} + - {column: D, row: 5537, expected_value: Males, label: sex} + - {column: E, row: 5537, expected_value: Employee, label: employment type} + - {column: J, row: 5537, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5539 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5539, expected_value: E12000004, label: geography} + - {column: D, row: 5539, expected_value: Males, label: sex} + - {column: E, row: 5539, expected_value: Employee, label: employment type} + - {column: J, row: 5539, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5541 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5541, expected_value: E12000004, label: geography} + - {column: D, row: 5541, expected_value: Males, label: sex} + - {column: E, row: 5541, expected_value: Employee, label: employment type} + - {column: J, row: 5541, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5543 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5543, expected_value: E12000004, label: geography} + - {column: D, row: 5543, expected_value: Males, label: sex} + - {column: E, row: 5543, expected_value: Employee, label: employment type} + - {column: J, row: 5543, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5545 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5545, expected_value: E12000004, label: geography} + - {column: D, row: 5545, expected_value: Males, label: sex} + - {column: E, row: 5545, expected_value: Employee, label: employment type} + - {column: J, row: 5545, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5690 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5690, expected_value: E12000004, label: geography} + - {column: D, row: 5690, expected_value: Males, label: sex} + - {column: E, row: 5690, expected_value: Self-employed, label: employment type} + - {column: J, row: 5690, expected_value: Value, label: measure} + - {column: L, row: 5691, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5692 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5692, expected_value: E12000004, label: geography} + - {column: D, row: 5692, expected_value: Males, label: sex} + - {column: E, row: 5692, expected_value: Self-employed, label: employment type} + - {column: J, row: 5692, expected_value: Value, label: measure} + - {column: L, row: 5693, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5694 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5694, expected_value: E12000004, label: geography} + - {column: D, row: 5694, expected_value: Males, label: sex} + - {column: E, row: 5694, expected_value: Self-employed, label: employment type} + - {column: J, row: 5694, expected_value: Value, label: measure} + - {column: L, row: 5695, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5696 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5696, expected_value: E12000004, label: geography} + - {column: D, row: 5696, expected_value: Males, label: sex} + - {column: E, row: 5696, expected_value: Self-employed, label: employment type} + - {column: J, row: 5696, expected_value: Value, label: measure} + - {column: L, row: 5697, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5698 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5698, expected_value: E12000004, label: geography} + - {column: D, row: 5698, expected_value: Males, label: sex} + - {column: E, row: 5698, expected_value: Self-employed, label: employment type} + - {column: J, row: 5698, expected_value: Value, label: measure} + - {column: L, row: 5699, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5700 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5700, expected_value: E12000004, label: geography} + - {column: D, row: 5700, expected_value: Males, label: sex} + - {column: E, row: 5700, expected_value: Self-employed, label: employment type} + - {column: J, row: 5700, expected_value: Value, label: measure} + - {column: L, row: 5701, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5702 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5702, expected_value: E12000004, label: geography} + - {column: D, row: 5702, expected_value: Males, label: sex} + - {column: E, row: 5702, expected_value: Self-employed, label: employment type} + - {column: J, row: 5702, expected_value: Value, label: measure} + - {column: L, row: 5703, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5704 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5704, expected_value: E12000004, label: geography} + - {column: D, row: 5704, expected_value: Males, label: sex} + - {column: E, row: 5704, expected_value: Self-employed, label: employment type} + - {column: J, row: 5704, expected_value: Value, label: measure} + - {column: L, row: 5705, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5706 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5706, expected_value: E12000004, label: geography} + - {column: D, row: 5706, expected_value: Males, label: sex} + - {column: E, row: 5706, expected_value: Self-employed, label: employment type} + - {column: J, row: 5706, expected_value: Value, label: measure} + - {column: L, row: 5707, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5708 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5708, expected_value: E12000004, label: geography} + - {column: D, row: 5708, expected_value: Males, label: sex} + - {column: E, row: 5708, expected_value: Self-employed, label: employment type} + - {column: J, row: 5708, expected_value: Value, label: measure} + - {column: L, row: 5709, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5710 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5710, expected_value: E12000004, label: geography} + - {column: D, row: 5710, expected_value: Males, label: sex} + - {column: E, row: 5710, expected_value: Self-employed, label: employment type} + - {column: J, row: 5710, expected_value: Value, label: measure} + - {column: L, row: 5711, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5716 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5716, expected_value: E12000004, label: geography} + - {column: D, row: 5716, expected_value: Males, label: sex} + - {column: E, row: 5716, expected_value: Self-employed, label: employment type} + - {column: J, row: 5716, expected_value: Value, label: measure} + - {column: L, row: 5717, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5718 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5718, expected_value: E12000004, label: geography} + - {column: D, row: 5718, expected_value: Males, label: sex} + - {column: E, row: 5718, expected_value: Self-employed, label: employment type} + - {column: J, row: 5718, expected_value: Value, label: measure} + - {column: L, row: 5719, expected_value: G, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5720 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5720, expected_value: E12000004, label: geography} + - {column: D, row: 5720, expected_value: Males, label: sex} + - {column: E, row: 5720, expected_value: Self-employed, label: employment type} + - {column: J, row: 5720, expected_value: Value, label: measure} + - {column: L, row: 5721, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5722 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5722, expected_value: E12000004, label: geography} + - {column: D, row: 5722, expected_value: Males, label: sex} + - {column: E, row: 5722, expected_value: Self-employed, label: employment type} + - {column: J, row: 5722, expected_value: Value, label: measure} + - {column: L, row: 5723, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5726 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5726, expected_value: E12000004, label: geography} + - {column: D, row: 5726, expected_value: Males, label: sex} + - {column: E, row: 5726, expected_value: Self-employed, label: employment type} + - {column: J, row: 5726, expected_value: Value, label: measure} + - {column: L, row: 5727, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5728 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5728, expected_value: E12000004, label: geography} + - {column: D, row: 5728, expected_value: Males, label: sex} + - {column: E, row: 5728, expected_value: Self-employed, label: employment type} + - {column: J, row: 5728, expected_value: Value, label: measure} + - {column: L, row: 5729, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5730 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5730, expected_value: E12000004, label: geography} + - {column: D, row: 5730, expected_value: Males, label: sex} + - {column: E, row: 5730, expected_value: Self-employed, label: employment type} + - {column: J, row: 5730, expected_value: Value, label: measure} + - {column: L, row: 5731, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5732 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5732, expected_value: E12000004, label: geography} + - {column: D, row: 5732, expected_value: Males, label: sex} + - {column: E, row: 5732, expected_value: Self-employed, label: employment type} + - {column: J, row: 5732, expected_value: Value, label: measure} + - {column: L, row: 5733, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5734 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5734, expected_value: E12000004, label: geography} + - {column: D, row: 5734, expected_value: Males, label: sex} + - {column: E, row: 5734, expected_value: Self-employed, label: employment type} + - {column: J, row: 5734, expected_value: Value, label: measure} + - {column: L, row: 5735, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5736 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5736, expected_value: E12000004, label: geography} + - {column: D, row: 5736, expected_value: Males, label: sex} + - {column: E, row: 5736, expected_value: Self-employed, label: employment type} + - {column: J, row: 5736, expected_value: Value, label: measure} + - {column: L, row: 5737, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5738 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5738, expected_value: E12000004, label: geography} + - {column: D, row: 5738, expected_value: Males, label: sex} + - {column: E, row: 5738, expected_value: Self-employed, label: employment type} + - {column: J, row: 5738, expected_value: Value, label: measure} + - {column: L, row: 5739, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5744 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5744, expected_value: E12000004, label: geography} + - {column: D, row: 5744, expected_value: Males, label: sex} + - {column: E, row: 5744, expected_value: Self-employed, label: employment type} + - {column: J, row: 5744, expected_value: Value, label: measure} + - {column: L, row: 5745, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5746 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5746, expected_value: E12000004, label: geography} + - {column: D, row: 5746, expected_value: Males, label: sex} + - {column: E, row: 5746, expected_value: Self-employed, label: employment type} + - {column: J, row: 5746, expected_value: Value, label: measure} + - {column: L, row: 5747, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5750 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5750, expected_value: E12000004, label: geography} + - {column: D, row: 5750, expected_value: Males, label: sex} + - {column: E, row: 5750, expected_value: Self-employed, label: employment type} + - {column: J, row: 5750, expected_value: Value, label: measure} + - {column: L, row: 5751, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5752 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5752, expected_value: E12000004, label: geography} + - {column: D, row: 5752, expected_value: Males, label: sex} + - {column: E, row: 5752, expected_value: Self-employed, label: employment type} + - {column: J, row: 5752, expected_value: Value, label: measure} + - {column: L, row: 5753, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5754 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5754, expected_value: E12000004, label: geography} + - {column: D, row: 5754, expected_value: Males, label: sex} + - {column: E, row: 5754, expected_value: Self-employed, label: employment type} + - {column: J, row: 5754, expected_value: Value, label: measure} + - {column: L, row: 5755, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5756 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5756, expected_value: E12000004, label: geography} + - {column: D, row: 5756, expected_value: Males, label: sex} + - {column: E, row: 5756, expected_value: Self-employed, label: employment type} + - {column: J, row: 5756, expected_value: Value, label: measure} + - {column: L, row: 5757, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5758 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5758, expected_value: E12000004, label: geography} + - {column: D, row: 5758, expected_value: Males, label: sex} + - {column: E, row: 5758, expected_value: Self-employed, label: employment type} + - {column: J, row: 5758, expected_value: Value, label: measure} + - {column: L, row: 5759, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5760 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5760, expected_value: E12000004, label: geography} + - {column: D, row: 5760, expected_value: Males, label: sex} + - {column: E, row: 5760, expected_value: Self-employed, label: employment type} + - {column: J, row: 5760, expected_value: Value, label: measure} + - {column: L, row: 5761, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5691 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5691, expected_value: E12000004, label: geography} + - {column: D, row: 5691, expected_value: Males, label: sex} + - {column: E, row: 5691, expected_value: Self-employed, label: employment type} + - {column: J, row: 5691, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5693 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5693, expected_value: E12000004, label: geography} + - {column: D, row: 5693, expected_value: Males, label: sex} + - {column: E, row: 5693, expected_value: Self-employed, label: employment type} + - {column: J, row: 5693, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5695 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5695, expected_value: E12000004, label: geography} + - {column: D, row: 5695, expected_value: Males, label: sex} + - {column: E, row: 5695, expected_value: Self-employed, label: employment type} + - {column: J, row: 5695, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5697 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5697, expected_value: E12000004, label: geography} + - {column: D, row: 5697, expected_value: Males, label: sex} + - {column: E, row: 5697, expected_value: Self-employed, label: employment type} + - {column: J, row: 5697, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5699 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5699, expected_value: E12000004, label: geography} + - {column: D, row: 5699, expected_value: Males, label: sex} + - {column: E, row: 5699, expected_value: Self-employed, label: employment type} + - {column: J, row: 5699, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5701 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5701, expected_value: E12000004, label: geography} + - {column: D, row: 5701, expected_value: Males, label: sex} + - {column: E, row: 5701, expected_value: Self-employed, label: employment type} + - {column: J, row: 5701, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5707 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5707, expected_value: E12000004, label: geography} + - {column: D, row: 5707, expected_value: Males, label: sex} + - {column: E, row: 5707, expected_value: Self-employed, label: employment type} + - {column: J, row: 5707, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5709 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5709, expected_value: E12000004, label: geography} + - {column: D, row: 5709, expected_value: Males, label: sex} + - {column: E, row: 5709, expected_value: Self-employed, label: employment type} + - {column: J, row: 5709, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5717 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5717, expected_value: E12000004, label: geography} + - {column: D, row: 5717, expected_value: Males, label: sex} + - {column: E, row: 5717, expected_value: Self-employed, label: employment type} + - {column: J, row: 5717, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5727 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5727, expected_value: E12000004, label: geography} + - {column: D, row: 5727, expected_value: Males, label: sex} + - {column: E, row: 5727, expected_value: Self-employed, label: employment type} + - {column: J, row: 5727, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5729 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5729, expected_value: E12000004, label: geography} + - {column: D, row: 5729, expected_value: Males, label: sex} + - {column: E, row: 5729, expected_value: Self-employed, label: employment type} + - {column: J, row: 5729, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5731 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5731, expected_value: E12000004, label: geography} + - {column: D, row: 5731, expected_value: Males, label: sex} + - {column: E, row: 5731, expected_value: Self-employed, label: employment type} + - {column: J, row: 5731, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5733 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5733, expected_value: E12000004, label: geography} + - {column: D, row: 5733, expected_value: Males, label: sex} + - {column: E, row: 5733, expected_value: Self-employed, label: employment type} + - {column: J, row: 5733, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5737 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5737, expected_value: E12000004, label: geography} + - {column: D, row: 5737, expected_value: Males, label: sex} + - {column: E, row: 5737, expected_value: Self-employed, label: employment type} + - {column: J, row: 5737, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5751 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5751, expected_value: E12000004, label: geography} + - {column: D, row: 5751, expected_value: Males, label: sex} + - {column: E, row: 5751, expected_value: Self-employed, label: employment type} + - {column: J, row: 5751, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5755 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5755, expected_value: E12000004, label: geography} + - {column: D, row: 5755, expected_value: Males, label: sex} + - {column: E, row: 5755, expected_value: Self-employed, label: employment type} + - {column: J, row: 5755, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5757 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5757, expected_value: E12000004, label: geography} + - {column: D, row: 5757, expected_value: Males, label: sex} + - {column: E, row: 5757, expected_value: Self-employed, label: employment type} + - {column: J, row: 5757, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5330 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5330, expected_value: E12000004, label: geography} + - {column: D, row: 5330, expected_value: Females, label: sex} + - {column: E, row: 5330, expected_value: Total, label: employment type} + - {column: J, row: 5330, expected_value: Value, label: measure} + - {column: L, row: 5331, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5332 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5332, expected_value: E12000004, label: geography} + - {column: D, row: 5332, expected_value: Females, label: sex} + - {column: E, row: 5332, expected_value: Total, label: employment type} + - {column: J, row: 5332, expected_value: Value, label: measure} + - {column: L, row: 5333, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5334 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5334, expected_value: E12000004, label: geography} + - {column: D, row: 5334, expected_value: Females, label: sex} + - {column: E, row: 5334, expected_value: Total, label: employment type} + - {column: J, row: 5334, expected_value: Value, label: measure} + - {column: L, row: 5335, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5336 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5336, expected_value: E12000004, label: geography} + - {column: D, row: 5336, expected_value: Females, label: sex} + - {column: E, row: 5336, expected_value: Total, label: employment type} + - {column: J, row: 5336, expected_value: Value, label: measure} + - {column: L, row: 5337, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5338 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5338, expected_value: E12000004, label: geography} + - {column: D, row: 5338, expected_value: Females, label: sex} + - {column: E, row: 5338, expected_value: Total, label: employment type} + - {column: J, row: 5338, expected_value: Value, label: measure} + - {column: L, row: 5339, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5340 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5340, expected_value: E12000004, label: geography} + - {column: D, row: 5340, expected_value: Females, label: sex} + - {column: E, row: 5340, expected_value: Total, label: employment type} + - {column: J, row: 5340, expected_value: Value, label: measure} + - {column: L, row: 5341, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5342 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5342, expected_value: E12000004, label: geography} + - {column: D, row: 5342, expected_value: Females, label: sex} + - {column: E, row: 5342, expected_value: Total, label: employment type} + - {column: J, row: 5342, expected_value: Value, label: measure} + - {column: L, row: 5343, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5344 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5344, expected_value: E12000004, label: geography} + - {column: D, row: 5344, expected_value: Females, label: sex} + - {column: E, row: 5344, expected_value: Total, label: employment type} + - {column: J, row: 5344, expected_value: Value, label: measure} + - {column: L, row: 5345, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5346 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5346, expected_value: E12000004, label: geography} + - {column: D, row: 5346, expected_value: Females, label: sex} + - {column: E, row: 5346, expected_value: Total, label: employment type} + - {column: J, row: 5346, expected_value: Value, label: measure} + - {column: L, row: 5347, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5348 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5348, expected_value: E12000004, label: geography} + - {column: D, row: 5348, expected_value: Females, label: sex} + - {column: E, row: 5348, expected_value: Total, label: employment type} + - {column: J, row: 5348, expected_value: Value, label: measure} + - {column: L, row: 5349, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5350 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5350, expected_value: E12000004, label: geography} + - {column: D, row: 5350, expected_value: Females, label: sex} + - {column: E, row: 5350, expected_value: Total, label: employment type} + - {column: J, row: 5350, expected_value: Value, label: measure} + - {column: L, row: 5351, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5352 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5352, expected_value: E12000004, label: geography} + - {column: D, row: 5352, expected_value: Females, label: sex} + - {column: E, row: 5352, expected_value: Total, label: employment type} + - {column: J, row: 5352, expected_value: Value, label: measure} + - {column: L, row: 5353, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5354 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5354, expected_value: E12000004, label: geography} + - {column: D, row: 5354, expected_value: Females, label: sex} + - {column: E, row: 5354, expected_value: Total, label: employment type} + - {column: J, row: 5354, expected_value: Value, label: measure} + - {column: L, row: 5355, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5356 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5356, expected_value: E12000004, label: geography} + - {column: D, row: 5356, expected_value: Females, label: sex} + - {column: E, row: 5356, expected_value: Total, label: employment type} + - {column: J, row: 5356, expected_value: Value, label: measure} + - {column: L, row: 5357, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5358 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5358, expected_value: E12000004, label: geography} + - {column: D, row: 5358, expected_value: Females, label: sex} + - {column: E, row: 5358, expected_value: Total, label: employment type} + - {column: J, row: 5358, expected_value: Value, label: measure} + - {column: L, row: 5359, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5360 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5360, expected_value: E12000004, label: geography} + - {column: D, row: 5360, expected_value: Females, label: sex} + - {column: E, row: 5360, expected_value: Total, label: employment type} + - {column: J, row: 5360, expected_value: Value, label: measure} + - {column: L, row: 5361, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5362 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5362, expected_value: E12000004, label: geography} + - {column: D, row: 5362, expected_value: Females, label: sex} + - {column: E, row: 5362, expected_value: Total, label: employment type} + - {column: J, row: 5362, expected_value: Value, label: measure} + - {column: L, row: 5363, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5364 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5364, expected_value: E12000004, label: geography} + - {column: D, row: 5364, expected_value: Females, label: sex} + - {column: E, row: 5364, expected_value: Total, label: employment type} + - {column: J, row: 5364, expected_value: Value, label: measure} + - {column: L, row: 5365, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5366 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5366, expected_value: E12000004, label: geography} + - {column: D, row: 5366, expected_value: Females, label: sex} + - {column: E, row: 5366, expected_value: Total, label: employment type} + - {column: J, row: 5366, expected_value: Value, label: measure} + - {column: L, row: 5367, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5368 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5368, expected_value: E12000004, label: geography} + - {column: D, row: 5368, expected_value: Females, label: sex} + - {column: E, row: 5368, expected_value: Total, label: employment type} + - {column: J, row: 5368, expected_value: Value, label: measure} + - {column: L, row: 5369, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5370 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5370, expected_value: E12000004, label: geography} + - {column: D, row: 5370, expected_value: Females, label: sex} + - {column: E, row: 5370, expected_value: Total, label: employment type} + - {column: J, row: 5370, expected_value: Value, label: measure} + - {column: L, row: 5371, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5372 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5372, expected_value: E12000004, label: geography} + - {column: D, row: 5372, expected_value: Females, label: sex} + - {column: E, row: 5372, expected_value: Total, label: employment type} + - {column: J, row: 5372, expected_value: Value, label: measure} + - {column: L, row: 5373, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5374 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5374, expected_value: E12000004, label: geography} + - {column: D, row: 5374, expected_value: Females, label: sex} + - {column: E, row: 5374, expected_value: Total, label: employment type} + - {column: J, row: 5374, expected_value: Value, label: measure} + - {column: L, row: 5375, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5376 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5376, expected_value: E12000004, label: geography} + - {column: D, row: 5376, expected_value: Females, label: sex} + - {column: E, row: 5376, expected_value: Total, label: employment type} + - {column: J, row: 5376, expected_value: Value, label: measure} + - {column: L, row: 5377, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5378 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5378, expected_value: E12000004, label: geography} + - {column: D, row: 5378, expected_value: Females, label: sex} + - {column: E, row: 5378, expected_value: Total, label: employment type} + - {column: J, row: 5378, expected_value: Value, label: measure} + - {column: L, row: 5379, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5380 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5380, expected_value: E12000004, label: geography} + - {column: D, row: 5380, expected_value: Females, label: sex} + - {column: E, row: 5380, expected_value: Total, label: employment type} + - {column: J, row: 5380, expected_value: Value, label: measure} + - {column: L, row: 5381, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5382 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5382, expected_value: E12000004, label: geography} + - {column: D, row: 5382, expected_value: Females, label: sex} + - {column: E, row: 5382, expected_value: Total, label: employment type} + - {column: J, row: 5382, expected_value: Value, label: measure} + - {column: L, row: 5383, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5384 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5384, expected_value: E12000004, label: geography} + - {column: D, row: 5384, expected_value: Females, label: sex} + - {column: E, row: 5384, expected_value: Total, label: employment type} + - {column: J, row: 5384, expected_value: Value, label: measure} + - {column: L, row: 5385, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5386 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5386, expected_value: E12000004, label: geography} + - {column: D, row: 5386, expected_value: Females, label: sex} + - {column: E, row: 5386, expected_value: Total, label: employment type} + - {column: J, row: 5386, expected_value: Value, label: measure} + - {column: L, row: 5387, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5388 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5388, expected_value: E12000004, label: geography} + - {column: D, row: 5388, expected_value: Females, label: sex} + - {column: E, row: 5388, expected_value: Total, label: employment type} + - {column: J, row: 5388, expected_value: Value, label: measure} + - {column: L, row: 5389, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5390 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5390, expected_value: E12000004, label: geography} + - {column: D, row: 5390, expected_value: Females, label: sex} + - {column: E, row: 5390, expected_value: Total, label: employment type} + - {column: J, row: 5390, expected_value: Value, label: measure} + - {column: L, row: 5391, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5392 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5392, expected_value: E12000004, label: geography} + - {column: D, row: 5392, expected_value: Females, label: sex} + - {column: E, row: 5392, expected_value: Total, label: employment type} + - {column: J, row: 5392, expected_value: Value, label: measure} + - {column: L, row: 5393, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5394 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5394, expected_value: E12000004, label: geography} + - {column: D, row: 5394, expected_value: Females, label: sex} + - {column: E, row: 5394, expected_value: Total, label: employment type} + - {column: J, row: 5394, expected_value: Value, label: measure} + - {column: L, row: 5395, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5396 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5396, expected_value: E12000004, label: geography} + - {column: D, row: 5396, expected_value: Females, label: sex} + - {column: E, row: 5396, expected_value: Total, label: employment type} + - {column: J, row: 5396, expected_value: Value, label: measure} + - {column: L, row: 5397, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5398 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5398, expected_value: E12000004, label: geography} + - {column: D, row: 5398, expected_value: Females, label: sex} + - {column: E, row: 5398, expected_value: Total, label: employment type} + - {column: J, row: 5398, expected_value: Value, label: measure} + - {column: L, row: 5399, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5400 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5400, expected_value: E12000004, label: geography} + - {column: D, row: 5400, expected_value: Females, label: sex} + - {column: E, row: 5400, expected_value: Total, label: employment type} + - {column: J, row: 5400, expected_value: Value, label: measure} + - {column: L, row: 5401, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5331 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5331, expected_value: E12000004, label: geography} + - {column: D, row: 5331, expected_value: Females, label: sex} + - {column: E, row: 5331, expected_value: Total, label: employment type} + - {column: J, row: 5331, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5333 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5333, expected_value: E12000004, label: geography} + - {column: D, row: 5333, expected_value: Females, label: sex} + - {column: E, row: 5333, expected_value: Total, label: employment type} + - {column: J, row: 5333, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5335 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5335, expected_value: E12000004, label: geography} + - {column: D, row: 5335, expected_value: Females, label: sex} + - {column: E, row: 5335, expected_value: Total, label: employment type} + - {column: J, row: 5335, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5337 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5337, expected_value: E12000004, label: geography} + - {column: D, row: 5337, expected_value: Females, label: sex} + - {column: E, row: 5337, expected_value: Total, label: employment type} + - {column: J, row: 5337, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5339 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5339, expected_value: E12000004, label: geography} + - {column: D, row: 5339, expected_value: Females, label: sex} + - {column: E, row: 5339, expected_value: Total, label: employment type} + - {column: J, row: 5339, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5341 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5341, expected_value: E12000004, label: geography} + - {column: D, row: 5341, expected_value: Females, label: sex} + - {column: E, row: 5341, expected_value: Total, label: employment type} + - {column: J, row: 5341, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5343 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5343, expected_value: E12000004, label: geography} + - {column: D, row: 5343, expected_value: Females, label: sex} + - {column: E, row: 5343, expected_value: Total, label: employment type} + - {column: J, row: 5343, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5345 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5345, expected_value: E12000004, label: geography} + - {column: D, row: 5345, expected_value: Females, label: sex} + - {column: E, row: 5345, expected_value: Total, label: employment type} + - {column: J, row: 5345, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5347 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5347, expected_value: E12000004, label: geography} + - {column: D, row: 5347, expected_value: Females, label: sex} + - {column: E, row: 5347, expected_value: Total, label: employment type} + - {column: J, row: 5347, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5349 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5349, expected_value: E12000004, label: geography} + - {column: D, row: 5349, expected_value: Females, label: sex} + - {column: E, row: 5349, expected_value: Total, label: employment type} + - {column: J, row: 5349, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5351 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5351, expected_value: E12000004, label: geography} + - {column: D, row: 5351, expected_value: Females, label: sex} + - {column: E, row: 5351, expected_value: Total, label: employment type} + - {column: J, row: 5351, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5353 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5353, expected_value: E12000004, label: geography} + - {column: D, row: 5353, expected_value: Females, label: sex} + - {column: E, row: 5353, expected_value: Total, label: employment type} + - {column: J, row: 5353, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5355 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5355, expected_value: E12000004, label: geography} + - {column: D, row: 5355, expected_value: Females, label: sex} + - {column: E, row: 5355, expected_value: Total, label: employment type} + - {column: J, row: 5355, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5357 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5357, expected_value: E12000004, label: geography} + - {column: D, row: 5357, expected_value: Females, label: sex} + - {column: E, row: 5357, expected_value: Total, label: employment type} + - {column: J, row: 5357, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5359 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5359, expected_value: E12000004, label: geography} + - {column: D, row: 5359, expected_value: Females, label: sex} + - {column: E, row: 5359, expected_value: Total, label: employment type} + - {column: J, row: 5359, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5361 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5361, expected_value: E12000004, label: geography} + - {column: D, row: 5361, expected_value: Females, label: sex} + - {column: E, row: 5361, expected_value: Total, label: employment type} + - {column: J, row: 5361, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5363 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5363, expected_value: E12000004, label: geography} + - {column: D, row: 5363, expected_value: Females, label: sex} + - {column: E, row: 5363, expected_value: Total, label: employment type} + - {column: J, row: 5363, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5365 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5365, expected_value: E12000004, label: geography} + - {column: D, row: 5365, expected_value: Females, label: sex} + - {column: E, row: 5365, expected_value: Total, label: employment type} + - {column: J, row: 5365, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5367 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5367, expected_value: E12000004, label: geography} + - {column: D, row: 5367, expected_value: Females, label: sex} + - {column: E, row: 5367, expected_value: Total, label: employment type} + - {column: J, row: 5367, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5375 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5375, expected_value: E12000004, label: geography} + - {column: D, row: 5375, expected_value: Females, label: sex} + - {column: E, row: 5375, expected_value: Total, label: employment type} + - {column: J, row: 5375, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5377 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5377, expected_value: E12000004, label: geography} + - {column: D, row: 5377, expected_value: Females, label: sex} + - {column: E, row: 5377, expected_value: Total, label: employment type} + - {column: J, row: 5377, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5379 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5379, expected_value: E12000004, label: geography} + - {column: D, row: 5379, expected_value: Females, label: sex} + - {column: E, row: 5379, expected_value: Total, label: employment type} + - {column: J, row: 5379, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5381 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5381, expected_value: E12000004, label: geography} + - {column: D, row: 5381, expected_value: Females, label: sex} + - {column: E, row: 5381, expected_value: Total, label: employment type} + - {column: J, row: 5381, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5385 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5385, expected_value: E12000004, label: geography} + - {column: D, row: 5385, expected_value: Females, label: sex} + - {column: E, row: 5385, expected_value: Total, label: employment type} + - {column: J, row: 5385, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5387 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5387, expected_value: E12000004, label: geography} + - {column: D, row: 5387, expected_value: Females, label: sex} + - {column: E, row: 5387, expected_value: Total, label: employment type} + - {column: J, row: 5387, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5389 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5389, expected_value: E12000004, label: geography} + - {column: D, row: 5389, expected_value: Females, label: sex} + - {column: E, row: 5389, expected_value: Total, label: employment type} + - {column: J, row: 5389, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5391 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5391, expected_value: E12000004, label: geography} + - {column: D, row: 5391, expected_value: Females, label: sex} + - {column: E, row: 5391, expected_value: Total, label: employment type} + - {column: J, row: 5391, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5393 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5393, expected_value: E12000004, label: geography} + - {column: D, row: 5393, expected_value: Females, label: sex} + - {column: E, row: 5393, expected_value: Total, label: employment type} + - {column: J, row: 5393, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5395 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5395, expected_value: E12000004, label: geography} + - {column: D, row: 5395, expected_value: Females, label: sex} + - {column: E, row: 5395, expected_value: Total, label: employment type} + - {column: J, row: 5395, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5397 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5397, expected_value: E12000004, label: geography} + - {column: D, row: 5397, expected_value: Females, label: sex} + - {column: E, row: 5397, expected_value: Total, label: employment type} + - {column: J, row: 5397, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5399 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5399, expected_value: E12000004, label: geography} + - {column: D, row: 5399, expected_value: Females, label: sex} + - {column: E, row: 5399, expected_value: Total, label: employment type} + - {column: J, row: 5399, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5401 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5401, expected_value: E12000004, label: geography} + - {column: D, row: 5401, expected_value: Females, label: sex} + - {column: E, row: 5401, expected_value: Total, label: employment type} + - {column: J, row: 5401, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5546 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5546, expected_value: E12000004, label: geography} + - {column: D, row: 5546, expected_value: Females, label: sex} + - {column: E, row: 5546, expected_value: Employee, label: employment type} + - {column: J, row: 5546, expected_value: Value, label: measure} + - {column: L, row: 5547, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5548 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5548, expected_value: E12000004, label: geography} + - {column: D, row: 5548, expected_value: Females, label: sex} + - {column: E, row: 5548, expected_value: Employee, label: employment type} + - {column: J, row: 5548, expected_value: Value, label: measure} + - {column: L, row: 5549, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5550 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5550, expected_value: E12000004, label: geography} + - {column: D, row: 5550, expected_value: Females, label: sex} + - {column: E, row: 5550, expected_value: Employee, label: employment type} + - {column: J, row: 5550, expected_value: Value, label: measure} + - {column: L, row: 5551, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5552 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5552, expected_value: E12000004, label: geography} + - {column: D, row: 5552, expected_value: Females, label: sex} + - {column: E, row: 5552, expected_value: Employee, label: employment type} + - {column: J, row: 5552, expected_value: Value, label: measure} + - {column: L, row: 5553, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5554 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5554, expected_value: E12000004, label: geography} + - {column: D, row: 5554, expected_value: Females, label: sex} + - {column: E, row: 5554, expected_value: Employee, label: employment type} + - {column: J, row: 5554, expected_value: Value, label: measure} + - {column: L, row: 5555, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5556 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5556, expected_value: E12000004, label: geography} + - {column: D, row: 5556, expected_value: Females, label: sex} + - {column: E, row: 5556, expected_value: Employee, label: employment type} + - {column: J, row: 5556, expected_value: Value, label: measure} + - {column: L, row: 5557, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5558 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5558, expected_value: E12000004, label: geography} + - {column: D, row: 5558, expected_value: Females, label: sex} + - {column: E, row: 5558, expected_value: Employee, label: employment type} + - {column: J, row: 5558, expected_value: Value, label: measure} + - {column: L, row: 5559, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5560 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5560, expected_value: E12000004, label: geography} + - {column: D, row: 5560, expected_value: Females, label: sex} + - {column: E, row: 5560, expected_value: Employee, label: employment type} + - {column: J, row: 5560, expected_value: Value, label: measure} + - {column: L, row: 5561, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5562 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5562, expected_value: E12000004, label: geography} + - {column: D, row: 5562, expected_value: Females, label: sex} + - {column: E, row: 5562, expected_value: Employee, label: employment type} + - {column: J, row: 5562, expected_value: Value, label: measure} + - {column: L, row: 5563, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5564 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5564, expected_value: E12000004, label: geography} + - {column: D, row: 5564, expected_value: Females, label: sex} + - {column: E, row: 5564, expected_value: Employee, label: employment type} + - {column: J, row: 5564, expected_value: Value, label: measure} + - {column: L, row: 5565, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5566 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5566, expected_value: E12000004, label: geography} + - {column: D, row: 5566, expected_value: Females, label: sex} + - {column: E, row: 5566, expected_value: Employee, label: employment type} + - {column: J, row: 5566, expected_value: Value, label: measure} + - {column: L, row: 5567, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5568 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5568, expected_value: E12000004, label: geography} + - {column: D, row: 5568, expected_value: Females, label: sex} + - {column: E, row: 5568, expected_value: Employee, label: employment type} + - {column: J, row: 5568, expected_value: Value, label: measure} + - {column: L, row: 5569, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5570 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5570, expected_value: E12000004, label: geography} + - {column: D, row: 5570, expected_value: Females, label: sex} + - {column: E, row: 5570, expected_value: Employee, label: employment type} + - {column: J, row: 5570, expected_value: Value, label: measure} + - {column: L, row: 5571, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5572 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5572, expected_value: E12000004, label: geography} + - {column: D, row: 5572, expected_value: Females, label: sex} + - {column: E, row: 5572, expected_value: Employee, label: employment type} + - {column: J, row: 5572, expected_value: Value, label: measure} + - {column: L, row: 5573, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5574 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5574, expected_value: E12000004, label: geography} + - {column: D, row: 5574, expected_value: Females, label: sex} + - {column: E, row: 5574, expected_value: Employee, label: employment type} + - {column: J, row: 5574, expected_value: Value, label: measure} + - {column: L, row: 5575, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5576 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5576, expected_value: E12000004, label: geography} + - {column: D, row: 5576, expected_value: Females, label: sex} + - {column: E, row: 5576, expected_value: Employee, label: employment type} + - {column: J, row: 5576, expected_value: Value, label: measure} + - {column: L, row: 5577, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5578 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5578, expected_value: E12000004, label: geography} + - {column: D, row: 5578, expected_value: Females, label: sex} + - {column: E, row: 5578, expected_value: Employee, label: employment type} + - {column: J, row: 5578, expected_value: Value, label: measure} + - {column: L, row: 5579, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5580 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5580, expected_value: E12000004, label: geography} + - {column: D, row: 5580, expected_value: Females, label: sex} + - {column: E, row: 5580, expected_value: Employee, label: employment type} + - {column: J, row: 5580, expected_value: Value, label: measure} + - {column: L, row: 5581, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5582 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5582, expected_value: E12000004, label: geography} + - {column: D, row: 5582, expected_value: Females, label: sex} + - {column: E, row: 5582, expected_value: Employee, label: employment type} + - {column: J, row: 5582, expected_value: Value, label: measure} + - {column: L, row: 5583, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5584 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5584, expected_value: E12000004, label: geography} + - {column: D, row: 5584, expected_value: Females, label: sex} + - {column: E, row: 5584, expected_value: Employee, label: employment type} + - {column: J, row: 5584, expected_value: Value, label: measure} + - {column: L, row: 5585, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5586 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5586, expected_value: E12000004, label: geography} + - {column: D, row: 5586, expected_value: Females, label: sex} + - {column: E, row: 5586, expected_value: Employee, label: employment type} + - {column: J, row: 5586, expected_value: Value, label: measure} + - {column: L, row: 5587, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5588 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5588, expected_value: E12000004, label: geography} + - {column: D, row: 5588, expected_value: Females, label: sex} + - {column: E, row: 5588, expected_value: Employee, label: employment type} + - {column: J, row: 5588, expected_value: Value, label: measure} + - {column: L, row: 5589, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5590 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5590, expected_value: E12000004, label: geography} + - {column: D, row: 5590, expected_value: Females, label: sex} + - {column: E, row: 5590, expected_value: Employee, label: employment type} + - {column: J, row: 5590, expected_value: Value, label: measure} + - {column: L, row: 5591, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5592 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5592, expected_value: E12000004, label: geography} + - {column: D, row: 5592, expected_value: Females, label: sex} + - {column: E, row: 5592, expected_value: Employee, label: employment type} + - {column: J, row: 5592, expected_value: Value, label: measure} + - {column: L, row: 5593, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5594 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5594, expected_value: E12000004, label: geography} + - {column: D, row: 5594, expected_value: Females, label: sex} + - {column: E, row: 5594, expected_value: Employee, label: employment type} + - {column: J, row: 5594, expected_value: Value, label: measure} + - {column: L, row: 5595, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5596 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5596, expected_value: E12000004, label: geography} + - {column: D, row: 5596, expected_value: Females, label: sex} + - {column: E, row: 5596, expected_value: Employee, label: employment type} + - {column: J, row: 5596, expected_value: Value, label: measure} + - {column: L, row: 5597, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5598 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5598, expected_value: E12000004, label: geography} + - {column: D, row: 5598, expected_value: Females, label: sex} + - {column: E, row: 5598, expected_value: Employee, label: employment type} + - {column: J, row: 5598, expected_value: Value, label: measure} + - {column: L, row: 5599, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5600 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5600, expected_value: E12000004, label: geography} + - {column: D, row: 5600, expected_value: Females, label: sex} + - {column: E, row: 5600, expected_value: Employee, label: employment type} + - {column: J, row: 5600, expected_value: Value, label: measure} + - {column: L, row: 5601, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5602 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5602, expected_value: E12000004, label: geography} + - {column: D, row: 5602, expected_value: Females, label: sex} + - {column: E, row: 5602, expected_value: Employee, label: employment type} + - {column: J, row: 5602, expected_value: Value, label: measure} + - {column: L, row: 5603, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5604 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5604, expected_value: E12000004, label: geography} + - {column: D, row: 5604, expected_value: Females, label: sex} + - {column: E, row: 5604, expected_value: Employee, label: employment type} + - {column: J, row: 5604, expected_value: Value, label: measure} + - {column: L, row: 5605, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5606 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5606, expected_value: E12000004, label: geography} + - {column: D, row: 5606, expected_value: Females, label: sex} + - {column: E, row: 5606, expected_value: Employee, label: employment type} + - {column: J, row: 5606, expected_value: Value, label: measure} + - {column: L, row: 5607, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5608 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5608, expected_value: E12000004, label: geography} + - {column: D, row: 5608, expected_value: Females, label: sex} + - {column: E, row: 5608, expected_value: Employee, label: employment type} + - {column: J, row: 5608, expected_value: Value, label: measure} + - {column: L, row: 5609, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5610 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5610, expected_value: E12000004, label: geography} + - {column: D, row: 5610, expected_value: Females, label: sex} + - {column: E, row: 5610, expected_value: Employee, label: employment type} + - {column: J, row: 5610, expected_value: Value, label: measure} + - {column: L, row: 5611, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5612 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5612, expected_value: E12000004, label: geography} + - {column: D, row: 5612, expected_value: Females, label: sex} + - {column: E, row: 5612, expected_value: Employee, label: employment type} + - {column: J, row: 5612, expected_value: Value, label: measure} + - {column: L, row: 5613, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5614 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5614, expected_value: E12000004, label: geography} + - {column: D, row: 5614, expected_value: Females, label: sex} + - {column: E, row: 5614, expected_value: Employee, label: employment type} + - {column: J, row: 5614, expected_value: Value, label: measure} + - {column: L, row: 5615, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5616 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5616, expected_value: E12000004, label: geography} + - {column: D, row: 5616, expected_value: Females, label: sex} + - {column: E, row: 5616, expected_value: Employee, label: employment type} + - {column: J, row: 5616, expected_value: Value, label: measure} + - {column: L, row: 5617, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5547 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5547, expected_value: E12000004, label: geography} + - {column: D, row: 5547, expected_value: Females, label: sex} + - {column: E, row: 5547, expected_value: Employee, label: employment type} + - {column: J, row: 5547, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5549 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5549, expected_value: E12000004, label: geography} + - {column: D, row: 5549, expected_value: Females, label: sex} + - {column: E, row: 5549, expected_value: Employee, label: employment type} + - {column: J, row: 5549, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5551 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5551, expected_value: E12000004, label: geography} + - {column: D, row: 5551, expected_value: Females, label: sex} + - {column: E, row: 5551, expected_value: Employee, label: employment type} + - {column: J, row: 5551, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5553 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5553, expected_value: E12000004, label: geography} + - {column: D, row: 5553, expected_value: Females, label: sex} + - {column: E, row: 5553, expected_value: Employee, label: employment type} + - {column: J, row: 5553, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5555 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5555, expected_value: E12000004, label: geography} + - {column: D, row: 5555, expected_value: Females, label: sex} + - {column: E, row: 5555, expected_value: Employee, label: employment type} + - {column: J, row: 5555, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5557 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5557, expected_value: E12000004, label: geography} + - {column: D, row: 5557, expected_value: Females, label: sex} + - {column: E, row: 5557, expected_value: Employee, label: employment type} + - {column: J, row: 5557, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5559 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5559, expected_value: E12000004, label: geography} + - {column: D, row: 5559, expected_value: Females, label: sex} + - {column: E, row: 5559, expected_value: Employee, label: employment type} + - {column: J, row: 5559, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5561 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5561, expected_value: E12000004, label: geography} + - {column: D, row: 5561, expected_value: Females, label: sex} + - {column: E, row: 5561, expected_value: Employee, label: employment type} + - {column: J, row: 5561, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5563 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5563, expected_value: E12000004, label: geography} + - {column: D, row: 5563, expected_value: Females, label: sex} + - {column: E, row: 5563, expected_value: Employee, label: employment type} + - {column: J, row: 5563, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5565 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5565, expected_value: E12000004, label: geography} + - {column: D, row: 5565, expected_value: Females, label: sex} + - {column: E, row: 5565, expected_value: Employee, label: employment type} + - {column: J, row: 5565, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5567 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5567, expected_value: E12000004, label: geography} + - {column: D, row: 5567, expected_value: Females, label: sex} + - {column: E, row: 5567, expected_value: Employee, label: employment type} + - {column: J, row: 5567, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5569 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5569, expected_value: E12000004, label: geography} + - {column: D, row: 5569, expected_value: Females, label: sex} + - {column: E, row: 5569, expected_value: Employee, label: employment type} + - {column: J, row: 5569, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5571 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5571, expected_value: E12000004, label: geography} + - {column: D, row: 5571, expected_value: Females, label: sex} + - {column: E, row: 5571, expected_value: Employee, label: employment type} + - {column: J, row: 5571, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5573 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5573, expected_value: E12000004, label: geography} + - {column: D, row: 5573, expected_value: Females, label: sex} + - {column: E, row: 5573, expected_value: Employee, label: employment type} + - {column: J, row: 5573, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5575 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5575, expected_value: E12000004, label: geography} + - {column: D, row: 5575, expected_value: Females, label: sex} + - {column: E, row: 5575, expected_value: Employee, label: employment type} + - {column: J, row: 5575, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5577 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5577, expected_value: E12000004, label: geography} + - {column: D, row: 5577, expected_value: Females, label: sex} + - {column: E, row: 5577, expected_value: Employee, label: employment type} + - {column: J, row: 5577, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5579 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5579, expected_value: E12000004, label: geography} + - {column: D, row: 5579, expected_value: Females, label: sex} + - {column: E, row: 5579, expected_value: Employee, label: employment type} + - {column: J, row: 5579, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5581 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5581, expected_value: E12000004, label: geography} + - {column: D, row: 5581, expected_value: Females, label: sex} + - {column: E, row: 5581, expected_value: Employee, label: employment type} + - {column: J, row: 5581, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5583 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5583, expected_value: E12000004, label: geography} + - {column: D, row: 5583, expected_value: Females, label: sex} + - {column: E, row: 5583, expected_value: Employee, label: employment type} + - {column: J, row: 5583, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5591 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5591, expected_value: E12000004, label: geography} + - {column: D, row: 5591, expected_value: Females, label: sex} + - {column: E, row: 5591, expected_value: Employee, label: employment type} + - {column: J, row: 5591, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5593 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5593, expected_value: E12000004, label: geography} + - {column: D, row: 5593, expected_value: Females, label: sex} + - {column: E, row: 5593, expected_value: Employee, label: employment type} + - {column: J, row: 5593, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5595 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5595, expected_value: E12000004, label: geography} + - {column: D, row: 5595, expected_value: Females, label: sex} + - {column: E, row: 5595, expected_value: Employee, label: employment type} + - {column: J, row: 5595, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5597 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5597, expected_value: E12000004, label: geography} + - {column: D, row: 5597, expected_value: Females, label: sex} + - {column: E, row: 5597, expected_value: Employee, label: employment type} + - {column: J, row: 5597, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5601 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5601, expected_value: E12000004, label: geography} + - {column: D, row: 5601, expected_value: Females, label: sex} + - {column: E, row: 5601, expected_value: Employee, label: employment type} + - {column: J, row: 5601, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5603 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5603, expected_value: E12000004, label: geography} + - {column: D, row: 5603, expected_value: Females, label: sex} + - {column: E, row: 5603, expected_value: Employee, label: employment type} + - {column: J, row: 5603, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5605 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5605, expected_value: E12000004, label: geography} + - {column: D, row: 5605, expected_value: Females, label: sex} + - {column: E, row: 5605, expected_value: Employee, label: employment type} + - {column: J, row: 5605, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5607 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5607, expected_value: E12000004, label: geography} + - {column: D, row: 5607, expected_value: Females, label: sex} + - {column: E, row: 5607, expected_value: Employee, label: employment type} + - {column: J, row: 5607, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5609 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5609, expected_value: E12000004, label: geography} + - {column: D, row: 5609, expected_value: Females, label: sex} + - {column: E, row: 5609, expected_value: Employee, label: employment type} + - {column: J, row: 5609, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5613 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5613, expected_value: E12000004, label: geography} + - {column: D, row: 5613, expected_value: Females, label: sex} + - {column: E, row: 5613, expected_value: Employee, label: employment type} + - {column: J, row: 5613, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5615 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5615, expected_value: E12000004, label: geography} + - {column: D, row: 5615, expected_value: Females, label: sex} + - {column: E, row: 5615, expected_value: Employee, label: employment type} + - {column: J, row: 5615, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5617 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5617, expected_value: E12000004, label: geography} + - {column: D, row: 5617, expected_value: Females, label: sex} + - {column: E, row: 5617, expected_value: Employee, label: employment type} + - {column: J, row: 5617, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5762 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5762, expected_value: E12000004, label: geography} + - {column: D, row: 5762, expected_value: Females, label: sex} + - {column: E, row: 5762, expected_value: Self-employed, label: employment type} + - {column: J, row: 5762, expected_value: Value, label: measure} + - {column: L, row: 5763, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5764 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5764, expected_value: E12000004, label: geography} + - {column: D, row: 5764, expected_value: Females, label: sex} + - {column: E, row: 5764, expected_value: Self-employed, label: employment type} + - {column: J, row: 5764, expected_value: Value, label: measure} + - {column: L, row: 5765, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5766 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5766, expected_value: E12000004, label: geography} + - {column: D, row: 5766, expected_value: Females, label: sex} + - {column: E, row: 5766, expected_value: Self-employed, label: employment type} + - {column: J, row: 5766, expected_value: Value, label: measure} + - {column: L, row: 5767, expected_value: G, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5768 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5768, expected_value: E12000004, label: geography} + - {column: D, row: 5768, expected_value: Females, label: sex} + - {column: E, row: 5768, expected_value: Self-employed, label: employment type} + - {column: J, row: 5768, expected_value: Value, label: measure} + - {column: L, row: 5769, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5770 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5770, expected_value: E12000004, label: geography} + - {column: D, row: 5770, expected_value: Females, label: sex} + - {column: E, row: 5770, expected_value: Self-employed, label: employment type} + - {column: J, row: 5770, expected_value: Value, label: measure} + - {column: L, row: 5771, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5772 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5772, expected_value: E12000004, label: geography} + - {column: D, row: 5772, expected_value: Females, label: sex} + - {column: E, row: 5772, expected_value: Self-employed, label: employment type} + - {column: J, row: 5772, expected_value: Value, label: measure} + - {column: L, row: 5773, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5774 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5774, expected_value: E12000004, label: geography} + - {column: D, row: 5774, expected_value: Females, label: sex} + - {column: E, row: 5774, expected_value: Self-employed, label: employment type} + - {column: J, row: 5774, expected_value: Value, label: measure} + - {column: L, row: 5775, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5776 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5776, expected_value: E12000004, label: geography} + - {column: D, row: 5776, expected_value: Females, label: sex} + - {column: E, row: 5776, expected_value: Self-employed, label: employment type} + - {column: J, row: 5776, expected_value: Value, label: measure} + - {column: L, row: 5777, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5778 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5778, expected_value: E12000004, label: geography} + - {column: D, row: 5778, expected_value: Females, label: sex} + - {column: E, row: 5778, expected_value: Self-employed, label: employment type} + - {column: J, row: 5778, expected_value: Value, label: measure} + - {column: L, row: 5779, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5780 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5780, expected_value: E12000004, label: geography} + - {column: D, row: 5780, expected_value: Females, label: sex} + - {column: E, row: 5780, expected_value: Self-employed, label: employment type} + - {column: J, row: 5780, expected_value: Value, label: measure} + - {column: L, row: 5781, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5784 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5784, expected_value: E12000004, label: geography} + - {column: D, row: 5784, expected_value: Females, label: sex} + - {column: E, row: 5784, expected_value: Self-employed, label: employment type} + - {column: J, row: 5784, expected_value: Value, label: measure} + - {column: L, row: 5785, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5788 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5788, expected_value: E12000004, label: geography} + - {column: D, row: 5788, expected_value: Females, label: sex} + - {column: E, row: 5788, expected_value: Self-employed, label: employment type} + - {column: J, row: 5788, expected_value: Value, label: measure} + - {column: L, row: 5789, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5790 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5790, expected_value: E12000004, label: geography} + - {column: D, row: 5790, expected_value: Females, label: sex} + - {column: E, row: 5790, expected_value: Self-employed, label: employment type} + - {column: J, row: 5790, expected_value: Value, label: measure} + - {column: L, row: 5791, expected_value: G, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5792 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5792, expected_value: E12000004, label: geography} + - {column: D, row: 5792, expected_value: Females, label: sex} + - {column: E, row: 5792, expected_value: Self-employed, label: employment type} + - {column: J, row: 5792, expected_value: Value, label: measure} + - {column: L, row: 5793, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5794 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5794, expected_value: E12000004, label: geography} + - {column: D, row: 5794, expected_value: Females, label: sex} + - {column: E, row: 5794, expected_value: Self-employed, label: employment type} + - {column: J, row: 5794, expected_value: Value, label: measure} + - {column: L, row: 5795, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5796 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5796, expected_value: E12000004, label: geography} + - {column: D, row: 5796, expected_value: Females, label: sex} + - {column: E, row: 5796, expected_value: Self-employed, label: employment type} + - {column: J, row: 5796, expected_value: Value, label: measure} + - {column: L, row: 5797, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5798 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5798, expected_value: E12000004, label: geography} + - {column: D, row: 5798, expected_value: Females, label: sex} + - {column: E, row: 5798, expected_value: Self-employed, label: employment type} + - {column: J, row: 5798, expected_value: Value, label: measure} + - {column: L, row: 5799, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5800 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5800, expected_value: E12000004, label: geography} + - {column: D, row: 5800, expected_value: Females, label: sex} + - {column: E, row: 5800, expected_value: Self-employed, label: employment type} + - {column: J, row: 5800, expected_value: Value, label: measure} + - {column: L, row: 5801, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5806 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5806, expected_value: E12000004, label: geography} + - {column: D, row: 5806, expected_value: Females, label: sex} + - {column: E, row: 5806, expected_value: Self-employed, label: employment type} + - {column: J, row: 5806, expected_value: Value, label: measure} + - {column: L, row: 5807, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5808 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5808, expected_value: E12000004, label: geography} + - {column: D, row: 5808, expected_value: Females, label: sex} + - {column: E, row: 5808, expected_value: Self-employed, label: employment type} + - {column: J, row: 5808, expected_value: Value, label: measure} + - {column: L, row: 5809, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5810 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5810, expected_value: E12000004, label: geography} + - {column: D, row: 5810, expected_value: Females, label: sex} + - {column: E, row: 5810, expected_value: Self-employed, label: employment type} + - {column: J, row: 5810, expected_value: Value, label: measure} + - {column: L, row: 5811, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5812 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5812, expected_value: E12000004, label: geography} + - {column: D, row: 5812, expected_value: Females, label: sex} + - {column: E, row: 5812, expected_value: Self-employed, label: employment type} + - {column: J, row: 5812, expected_value: Value, label: measure} + - {column: L, row: 5813, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5816 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5816, expected_value: E12000004, label: geography} + - {column: D, row: 5816, expected_value: Females, label: sex} + - {column: E, row: 5816, expected_value: Self-employed, label: employment type} + - {column: J, row: 5816, expected_value: Value, label: measure} + - {column: L, row: 5817, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5818 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5818, expected_value: E12000004, label: geography} + - {column: D, row: 5818, expected_value: Females, label: sex} + - {column: E, row: 5818, expected_value: Self-employed, label: employment type} + - {column: J, row: 5818, expected_value: Value, label: measure} + - {column: L, row: 5819, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5822 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5822, expected_value: E12000004, label: geography} + - {column: D, row: 5822, expected_value: Females, label: sex} + - {column: E, row: 5822, expected_value: Self-employed, label: employment type} + - {column: J, row: 5822, expected_value: Value, label: measure} + - {column: L, row: 5823, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5824 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5824, expected_value: E12000004, label: geography} + - {column: D, row: 5824, expected_value: Females, label: sex} + - {column: E, row: 5824, expected_value: Self-employed, label: employment type} + - {column: J, row: 5824, expected_value: Value, label: measure} + - {column: L, row: 5825, expected_value: F, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5826 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5826, expected_value: E12000004, label: geography} + - {column: D, row: 5826, expected_value: Females, label: sex} + - {column: E, row: 5826, expected_value: Self-employed, label: employment type} + - {column: J, row: 5826, expected_value: Value, label: measure} + - {column: L, row: 5827, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5828 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5828, expected_value: E12000004, label: geography} + - {column: D, row: 5828, expected_value: Females, label: sex} + - {column: E, row: 5828, expected_value: Self-employed, label: employment type} + - {column: J, row: 5828, expected_value: Value, label: measure} + - {column: L, row: 5829, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5832 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5832, expected_value: E12000004, label: geography} + - {column: D, row: 5832, expected_value: Females, label: sex} + - {column: E, row: 5832, expected_value: Self-employed, label: employment type} + - {column: J, row: 5832, expected_value: Value, label: measure} + - {column: L, row: 5833, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5763 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5763, expected_value: E12000004, label: geography} + - {column: D, row: 5763, expected_value: Females, label: sex} + - {column: E, row: 5763, expected_value: Self-employed, label: employment type} + - {column: J, row: 5763, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5765 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5765, expected_value: E12000004, label: geography} + - {column: D, row: 5765, expected_value: Females, label: sex} + - {column: E, row: 5765, expected_value: Self-employed, label: employment type} + - {column: J, row: 5765, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5769 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5769, expected_value: E12000004, label: geography} + - {column: D, row: 5769, expected_value: Females, label: sex} + - {column: E, row: 5769, expected_value: Self-employed, label: employment type} + - {column: J, row: 5769, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5771 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5771, expected_value: E12000004, label: geography} + - {column: D, row: 5771, expected_value: Females, label: sex} + - {column: E, row: 5771, expected_value: Self-employed, label: employment type} + - {column: J, row: 5771, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5775 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5775, expected_value: E12000004, label: geography} + - {column: D, row: 5775, expected_value: Females, label: sex} + - {column: E, row: 5775, expected_value: Self-employed, label: employment type} + - {column: J, row: 5775, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5777 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5777, expected_value: E12000004, label: geography} + - {column: D, row: 5777, expected_value: Females, label: sex} + - {column: E, row: 5777, expected_value: Self-employed, label: employment type} + - {column: J, row: 5777, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5779 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5779, expected_value: E12000004, label: geography} + - {column: D, row: 5779, expected_value: Females, label: sex} + - {column: E, row: 5779, expected_value: Self-employed, label: employment type} + - {column: J, row: 5779, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5781 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5781, expected_value: E12000004, label: geography} + - {column: D, row: 5781, expected_value: Females, label: sex} + - {column: E, row: 5781, expected_value: Self-employed, label: employment type} + - {column: J, row: 5781, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5789 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5789, expected_value: E12000004, label: geography} + - {column: D, row: 5789, expected_value: Females, label: sex} + - {column: E, row: 5789, expected_value: Self-employed, label: employment type} + - {column: J, row: 5789, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5793 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5793, expected_value: E12000004, label: geography} + - {column: D, row: 5793, expected_value: Females, label: sex} + - {column: E, row: 5793, expected_value: Self-employed, label: employment type} + - {column: J, row: 5793, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5795 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5795, expected_value: E12000004, label: geography} + - {column: D, row: 5795, expected_value: Females, label: sex} + - {column: E, row: 5795, expected_value: Self-employed, label: employment type} + - {column: J, row: 5795, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5799 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5799, expected_value: E12000004, label: geography} + - {column: D, row: 5799, expected_value: Females, label: sex} + - {column: E, row: 5799, expected_value: Self-employed, label: employment type} + - {column: J, row: 5799, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5809 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5809, expected_value: E12000004, label: geography} + - {column: D, row: 5809, expected_value: Females, label: sex} + - {column: E, row: 5809, expected_value: Self-employed, label: employment type} + - {column: J, row: 5809, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5811 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5811, expected_value: E12000004, label: geography} + - {column: D, row: 5811, expected_value: Females, label: sex} + - {column: E, row: 5811, expected_value: Self-employed, label: employment type} + - {column: J, row: 5811, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5813 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5813, expected_value: E12000004, label: geography} + - {column: D, row: 5813, expected_value: Females, label: sex} + - {column: E, row: 5813, expected_value: Self-employed, label: employment type} + - {column: J, row: 5813, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5829 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5829, expected_value: E12000004, label: geography} + - {column: D, row: 5829, expected_value: Females, label: sex} + - {column: E, row: 5829, expected_value: Self-employed, label: employment type} + - {column: J, row: 5829, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5833 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5833, expected_value: E12000004, label: geography} + - {column: D, row: 5833, expected_value: Females, label: sex} + - {column: E, row: 5833, expected_value: Self-employed, label: employment type} + - {column: J, row: 5833, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5834 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5834, expected_value: E12000005, label: geography} + - {column: D, row: 5834, expected_value: All persons, label: sex} + - {column: E, row: 5834, expected_value: Total, label: employment type} + - {column: J, row: 5834, expected_value: Value, label: measure} + - {column: L, row: 5835, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5836 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5836, expected_value: E12000005, label: geography} + - {column: D, row: 5836, expected_value: All persons, label: sex} + - {column: E, row: 5836, expected_value: Total, label: employment type} + - {column: J, row: 5836, expected_value: Value, label: measure} + - {column: L, row: 5837, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5838 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5838, expected_value: E12000005, label: geography} + - {column: D, row: 5838, expected_value: All persons, label: sex} + - {column: E, row: 5838, expected_value: Total, label: employment type} + - {column: J, row: 5838, expected_value: Value, label: measure} + - {column: L, row: 5839, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5840 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5840, expected_value: E12000005, label: geography} + - {column: D, row: 5840, expected_value: All persons, label: sex} + - {column: E, row: 5840, expected_value: Total, label: employment type} + - {column: J, row: 5840, expected_value: Value, label: measure} + - {column: L, row: 5841, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5842 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5842, expected_value: E12000005, label: geography} + - {column: D, row: 5842, expected_value: All persons, label: sex} + - {column: E, row: 5842, expected_value: Total, label: employment type} + - {column: J, row: 5842, expected_value: Value, label: measure} + - {column: L, row: 5843, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5844 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5844, expected_value: E12000005, label: geography} + - {column: D, row: 5844, expected_value: All persons, label: sex} + - {column: E, row: 5844, expected_value: Total, label: employment type} + - {column: J, row: 5844, expected_value: Value, label: measure} + - {column: L, row: 5845, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5846 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5846, expected_value: E12000005, label: geography} + - {column: D, row: 5846, expected_value: All persons, label: sex} + - {column: E, row: 5846, expected_value: Total, label: employment type} + - {column: J, row: 5846, expected_value: Value, label: measure} + - {column: L, row: 5847, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5848 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5848, expected_value: E12000005, label: geography} + - {column: D, row: 5848, expected_value: All persons, label: sex} + - {column: E, row: 5848, expected_value: Total, label: employment type} + - {column: J, row: 5848, expected_value: Value, label: measure} + - {column: L, row: 5849, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5850 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5850, expected_value: E12000005, label: geography} + - {column: D, row: 5850, expected_value: All persons, label: sex} + - {column: E, row: 5850, expected_value: Total, label: employment type} + - {column: J, row: 5850, expected_value: Value, label: measure} + - {column: L, row: 5851, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5852 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5852, expected_value: E12000005, label: geography} + - {column: D, row: 5852, expected_value: All persons, label: sex} + - {column: E, row: 5852, expected_value: Total, label: employment type} + - {column: J, row: 5852, expected_value: Value, label: measure} + - {column: L, row: 5853, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5854 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5854, expected_value: E12000005, label: geography} + - {column: D, row: 5854, expected_value: All persons, label: sex} + - {column: E, row: 5854, expected_value: Total, label: employment type} + - {column: J, row: 5854, expected_value: Value, label: measure} + - {column: L, row: 5855, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5856 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5856, expected_value: E12000005, label: geography} + - {column: D, row: 5856, expected_value: All persons, label: sex} + - {column: E, row: 5856, expected_value: Total, label: employment type} + - {column: J, row: 5856, expected_value: Value, label: measure} + - {column: L, row: 5857, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5858 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5858, expected_value: E12000005, label: geography} + - {column: D, row: 5858, expected_value: All persons, label: sex} + - {column: E, row: 5858, expected_value: Total, label: employment type} + - {column: J, row: 5858, expected_value: Value, label: measure} + - {column: L, row: 5859, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5860 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5860, expected_value: E12000005, label: geography} + - {column: D, row: 5860, expected_value: All persons, label: sex} + - {column: E, row: 5860, expected_value: Total, label: employment type} + - {column: J, row: 5860, expected_value: Value, label: measure} + - {column: L, row: 5861, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5862 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5862, expected_value: E12000005, label: geography} + - {column: D, row: 5862, expected_value: All persons, label: sex} + - {column: E, row: 5862, expected_value: Total, label: employment type} + - {column: J, row: 5862, expected_value: Value, label: measure} + - {column: L, row: 5863, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5864 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5864, expected_value: E12000005, label: geography} + - {column: D, row: 5864, expected_value: All persons, label: sex} + - {column: E, row: 5864, expected_value: Total, label: employment type} + - {column: J, row: 5864, expected_value: Value, label: measure} + - {column: L, row: 5865, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5866 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5866, expected_value: E12000005, label: geography} + - {column: D, row: 5866, expected_value: All persons, label: sex} + - {column: E, row: 5866, expected_value: Total, label: employment type} + - {column: J, row: 5866, expected_value: Value, label: measure} + - {column: L, row: 5867, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5868 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5868, expected_value: E12000005, label: geography} + - {column: D, row: 5868, expected_value: All persons, label: sex} + - {column: E, row: 5868, expected_value: Total, label: employment type} + - {column: J, row: 5868, expected_value: Value, label: measure} + - {column: L, row: 5869, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5870 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5870, expected_value: E12000005, label: geography} + - {column: D, row: 5870, expected_value: All persons, label: sex} + - {column: E, row: 5870, expected_value: Total, label: employment type} + - {column: J, row: 5870, expected_value: Value, label: measure} + - {column: L, row: 5871, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5872 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5872, expected_value: E12000005, label: geography} + - {column: D, row: 5872, expected_value: All persons, label: sex} + - {column: E, row: 5872, expected_value: Total, label: employment type} + - {column: J, row: 5872, expected_value: Value, label: measure} + - {column: L, row: 5873, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5874 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5874, expected_value: E12000005, label: geography} + - {column: D, row: 5874, expected_value: All persons, label: sex} + - {column: E, row: 5874, expected_value: Total, label: employment type} + - {column: J, row: 5874, expected_value: Value, label: measure} + - {column: L, row: 5875, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5876 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5876, expected_value: E12000005, label: geography} + - {column: D, row: 5876, expected_value: All persons, label: sex} + - {column: E, row: 5876, expected_value: Total, label: employment type} + - {column: J, row: 5876, expected_value: Value, label: measure} + - {column: L, row: 5877, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5878 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5878, expected_value: E12000005, label: geography} + - {column: D, row: 5878, expected_value: All persons, label: sex} + - {column: E, row: 5878, expected_value: Total, label: employment type} + - {column: J, row: 5878, expected_value: Value, label: measure} + - {column: L, row: 5879, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5880 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5880, expected_value: E12000005, label: geography} + - {column: D, row: 5880, expected_value: All persons, label: sex} + - {column: E, row: 5880, expected_value: Total, label: employment type} + - {column: J, row: 5880, expected_value: Value, label: measure} + - {column: L, row: 5881, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5882 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5882, expected_value: E12000005, label: geography} + - {column: D, row: 5882, expected_value: All persons, label: sex} + - {column: E, row: 5882, expected_value: Total, label: employment type} + - {column: J, row: 5882, expected_value: Value, label: measure} + - {column: L, row: 5883, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5884 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5884, expected_value: E12000005, label: geography} + - {column: D, row: 5884, expected_value: All persons, label: sex} + - {column: E, row: 5884, expected_value: Total, label: employment type} + - {column: J, row: 5884, expected_value: Value, label: measure} + - {column: L, row: 5885, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5886 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5886, expected_value: E12000005, label: geography} + - {column: D, row: 5886, expected_value: All persons, label: sex} + - {column: E, row: 5886, expected_value: Total, label: employment type} + - {column: J, row: 5886, expected_value: Value, label: measure} + - {column: L, row: 5887, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5888 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5888, expected_value: E12000005, label: geography} + - {column: D, row: 5888, expected_value: All persons, label: sex} + - {column: E, row: 5888, expected_value: Total, label: employment type} + - {column: J, row: 5888, expected_value: Value, label: measure} + - {column: L, row: 5889, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5890 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5890, expected_value: E12000005, label: geography} + - {column: D, row: 5890, expected_value: All persons, label: sex} + - {column: E, row: 5890, expected_value: Total, label: employment type} + - {column: J, row: 5890, expected_value: Value, label: measure} + - {column: L, row: 5891, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5892 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5892, expected_value: E12000005, label: geography} + - {column: D, row: 5892, expected_value: All persons, label: sex} + - {column: E, row: 5892, expected_value: Total, label: employment type} + - {column: J, row: 5892, expected_value: Value, label: measure} + - {column: L, row: 5893, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5894 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5894, expected_value: E12000005, label: geography} + - {column: D, row: 5894, expected_value: All persons, label: sex} + - {column: E, row: 5894, expected_value: Total, label: employment type} + - {column: J, row: 5894, expected_value: Value, label: measure} + - {column: L, row: 5895, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5896 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5896, expected_value: E12000005, label: geography} + - {column: D, row: 5896, expected_value: All persons, label: sex} + - {column: E, row: 5896, expected_value: Total, label: employment type} + - {column: J, row: 5896, expected_value: Value, label: measure} + - {column: L, row: 5897, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5898 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5898, expected_value: E12000005, label: geography} + - {column: D, row: 5898, expected_value: All persons, label: sex} + - {column: E, row: 5898, expected_value: Total, label: employment type} + - {column: J, row: 5898, expected_value: Value, label: measure} + - {column: L, row: 5899, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5900 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5900, expected_value: E12000005, label: geography} + - {column: D, row: 5900, expected_value: All persons, label: sex} + - {column: E, row: 5900, expected_value: Total, label: employment type} + - {column: J, row: 5900, expected_value: Value, label: measure} + - {column: L, row: 5901, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5902 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5902, expected_value: E12000005, label: geography} + - {column: D, row: 5902, expected_value: All persons, label: sex} + - {column: E, row: 5902, expected_value: Total, label: employment type} + - {column: J, row: 5902, expected_value: Value, label: measure} + - {column: L, row: 5903, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5904 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5904, expected_value: E12000005, label: geography} + - {column: D, row: 5904, expected_value: All persons, label: sex} + - {column: E, row: 5904, expected_value: Total, label: employment type} + - {column: J, row: 5904, expected_value: Value, label: measure} + - {column: L, row: 5905, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5835 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5835, expected_value: E12000005, label: geography} + - {column: D, row: 5835, expected_value: All persons, label: sex} + - {column: E, row: 5835, expected_value: Total, label: employment type} + - {column: J, row: 5835, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5837 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5837, expected_value: E12000005, label: geography} + - {column: D, row: 5837, expected_value: All persons, label: sex} + - {column: E, row: 5837, expected_value: Total, label: employment type} + - {column: J, row: 5837, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5839 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5839, expected_value: E12000005, label: geography} + - {column: D, row: 5839, expected_value: All persons, label: sex} + - {column: E, row: 5839, expected_value: Total, label: employment type} + - {column: J, row: 5839, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5841 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5841, expected_value: E12000005, label: geography} + - {column: D, row: 5841, expected_value: All persons, label: sex} + - {column: E, row: 5841, expected_value: Total, label: employment type} + - {column: J, row: 5841, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5843 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5843, expected_value: E12000005, label: geography} + - {column: D, row: 5843, expected_value: All persons, label: sex} + - {column: E, row: 5843, expected_value: Total, label: employment type} + - {column: J, row: 5843, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5845 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5845, expected_value: E12000005, label: geography} + - {column: D, row: 5845, expected_value: All persons, label: sex} + - {column: E, row: 5845, expected_value: Total, label: employment type} + - {column: J, row: 5845, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5847 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5847, expected_value: E12000005, label: geography} + - {column: D, row: 5847, expected_value: All persons, label: sex} + - {column: E, row: 5847, expected_value: Total, label: employment type} + - {column: J, row: 5847, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5849 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5849, expected_value: E12000005, label: geography} + - {column: D, row: 5849, expected_value: All persons, label: sex} + - {column: E, row: 5849, expected_value: Total, label: employment type} + - {column: J, row: 5849, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5851 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5851, expected_value: E12000005, label: geography} + - {column: D, row: 5851, expected_value: All persons, label: sex} + - {column: E, row: 5851, expected_value: Total, label: employment type} + - {column: J, row: 5851, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5853 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5853, expected_value: E12000005, label: geography} + - {column: D, row: 5853, expected_value: All persons, label: sex} + - {column: E, row: 5853, expected_value: Total, label: employment type} + - {column: J, row: 5853, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5855 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5855, expected_value: E12000005, label: geography} + - {column: D, row: 5855, expected_value: All persons, label: sex} + - {column: E, row: 5855, expected_value: Total, label: employment type} + - {column: J, row: 5855, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5857 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5857, expected_value: E12000005, label: geography} + - {column: D, row: 5857, expected_value: All persons, label: sex} + - {column: E, row: 5857, expected_value: Total, label: employment type} + - {column: J, row: 5857, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5859 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5859, expected_value: E12000005, label: geography} + - {column: D, row: 5859, expected_value: All persons, label: sex} + - {column: E, row: 5859, expected_value: Total, label: employment type} + - {column: J, row: 5859, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5861 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5861, expected_value: E12000005, label: geography} + - {column: D, row: 5861, expected_value: All persons, label: sex} + - {column: E, row: 5861, expected_value: Total, label: employment type} + - {column: J, row: 5861, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5863 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5863, expected_value: E12000005, label: geography} + - {column: D, row: 5863, expected_value: All persons, label: sex} + - {column: E, row: 5863, expected_value: Total, label: employment type} + - {column: J, row: 5863, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5865 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5865, expected_value: E12000005, label: geography} + - {column: D, row: 5865, expected_value: All persons, label: sex} + - {column: E, row: 5865, expected_value: Total, label: employment type} + - {column: J, row: 5865, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5867 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5867, expected_value: E12000005, label: geography} + - {column: D, row: 5867, expected_value: All persons, label: sex} + - {column: E, row: 5867, expected_value: Total, label: employment type} + - {column: J, row: 5867, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5869 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5869, expected_value: E12000005, label: geography} + - {column: D, row: 5869, expected_value: All persons, label: sex} + - {column: E, row: 5869, expected_value: Total, label: employment type} + - {column: J, row: 5869, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5871 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5871, expected_value: E12000005, label: geography} + - {column: D, row: 5871, expected_value: All persons, label: sex} + - {column: E, row: 5871, expected_value: Total, label: employment type} + - {column: J, row: 5871, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5873 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5873, expected_value: E12000005, label: geography} + - {column: D, row: 5873, expected_value: All persons, label: sex} + - {column: E, row: 5873, expected_value: Total, label: employment type} + - {column: J, row: 5873, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5875 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5875, expected_value: E12000005, label: geography} + - {column: D, row: 5875, expected_value: All persons, label: sex} + - {column: E, row: 5875, expected_value: Total, label: employment type} + - {column: J, row: 5875, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5877 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5877, expected_value: E12000005, label: geography} + - {column: D, row: 5877, expected_value: All persons, label: sex} + - {column: E, row: 5877, expected_value: Total, label: employment type} + - {column: J, row: 5877, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5879 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5879, expected_value: E12000005, label: geography} + - {column: D, row: 5879, expected_value: All persons, label: sex} + - {column: E, row: 5879, expected_value: Total, label: employment type} + - {column: J, row: 5879, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5881 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5881, expected_value: E12000005, label: geography} + - {column: D, row: 5881, expected_value: All persons, label: sex} + - {column: E, row: 5881, expected_value: Total, label: employment type} + - {column: J, row: 5881, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5883 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5883, expected_value: E12000005, label: geography} + - {column: D, row: 5883, expected_value: All persons, label: sex} + - {column: E, row: 5883, expected_value: Total, label: employment type} + - {column: J, row: 5883, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5885 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5885, expected_value: E12000005, label: geography} + - {column: D, row: 5885, expected_value: All persons, label: sex} + - {column: E, row: 5885, expected_value: Total, label: employment type} + - {column: J, row: 5885, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5889 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5889, expected_value: E12000005, label: geography} + - {column: D, row: 5889, expected_value: All persons, label: sex} + - {column: E, row: 5889, expected_value: Total, label: employment type} + - {column: J, row: 5889, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5891 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5891, expected_value: E12000005, label: geography} + - {column: D, row: 5891, expected_value: All persons, label: sex} + - {column: E, row: 5891, expected_value: Total, label: employment type} + - {column: J, row: 5891, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5893 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5893, expected_value: E12000005, label: geography} + - {column: D, row: 5893, expected_value: All persons, label: sex} + - {column: E, row: 5893, expected_value: Total, label: employment type} + - {column: J, row: 5893, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5895 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5895, expected_value: E12000005, label: geography} + - {column: D, row: 5895, expected_value: All persons, label: sex} + - {column: E, row: 5895, expected_value: Total, label: employment type} + - {column: J, row: 5895, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5897 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5897, expected_value: E12000005, label: geography} + - {column: D, row: 5897, expected_value: All persons, label: sex} + - {column: E, row: 5897, expected_value: Total, label: employment type} + - {column: J, row: 5897, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5899 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5899, expected_value: E12000005, label: geography} + - {column: D, row: 5899, expected_value: All persons, label: sex} + - {column: E, row: 5899, expected_value: Total, label: employment type} + - {column: J, row: 5899, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5901 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5901, expected_value: E12000005, label: geography} + - {column: D, row: 5901, expected_value: All persons, label: sex} + - {column: E, row: 5901, expected_value: Total, label: employment type} + - {column: J, row: 5901, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5903 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5903, expected_value: E12000005, label: geography} + - {column: D, row: 5903, expected_value: All persons, label: sex} + - {column: E, row: 5903, expected_value: Total, label: employment type} + - {column: J, row: 5903, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5905 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5905, expected_value: E12000005, label: geography} + - {column: D, row: 5905, expected_value: All persons, label: sex} + - {column: E, row: 5905, expected_value: Total, label: employment type} + - {column: J, row: 5905, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6050 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6050, expected_value: E12000005, label: geography} + - {column: D, row: 6050, expected_value: All persons, label: sex} + - {column: E, row: 6050, expected_value: Employee, label: employment type} + - {column: J, row: 6050, expected_value: Value, label: measure} + - {column: L, row: 6051, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6052 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6052, expected_value: E12000005, label: geography} + - {column: D, row: 6052, expected_value: All persons, label: sex} + - {column: E, row: 6052, expected_value: Employee, label: employment type} + - {column: J, row: 6052, expected_value: Value, label: measure} + - {column: L, row: 6053, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6054 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6054, expected_value: E12000005, label: geography} + - {column: D, row: 6054, expected_value: All persons, label: sex} + - {column: E, row: 6054, expected_value: Employee, label: employment type} + - {column: J, row: 6054, expected_value: Value, label: measure} + - {column: L, row: 6055, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6056 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6056, expected_value: E12000005, label: geography} + - {column: D, row: 6056, expected_value: All persons, label: sex} + - {column: E, row: 6056, expected_value: Employee, label: employment type} + - {column: J, row: 6056, expected_value: Value, label: measure} + - {column: L, row: 6057, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6058 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6058, expected_value: E12000005, label: geography} + - {column: D, row: 6058, expected_value: All persons, label: sex} + - {column: E, row: 6058, expected_value: Employee, label: employment type} + - {column: J, row: 6058, expected_value: Value, label: measure} + - {column: L, row: 6059, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6060 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6060, expected_value: E12000005, label: geography} + - {column: D, row: 6060, expected_value: All persons, label: sex} + - {column: E, row: 6060, expected_value: Employee, label: employment type} + - {column: J, row: 6060, expected_value: Value, label: measure} + - {column: L, row: 6061, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6062 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6062, expected_value: E12000005, label: geography} + - {column: D, row: 6062, expected_value: All persons, label: sex} + - {column: E, row: 6062, expected_value: Employee, label: employment type} + - {column: J, row: 6062, expected_value: Value, label: measure} + - {column: L, row: 6063, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6064 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6064, expected_value: E12000005, label: geography} + - {column: D, row: 6064, expected_value: All persons, label: sex} + - {column: E, row: 6064, expected_value: Employee, label: employment type} + - {column: J, row: 6064, expected_value: Value, label: measure} + - {column: L, row: 6065, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6066 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6066, expected_value: E12000005, label: geography} + - {column: D, row: 6066, expected_value: All persons, label: sex} + - {column: E, row: 6066, expected_value: Employee, label: employment type} + - {column: J, row: 6066, expected_value: Value, label: measure} + - {column: L, row: 6067, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6068 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6068, expected_value: E12000005, label: geography} + - {column: D, row: 6068, expected_value: All persons, label: sex} + - {column: E, row: 6068, expected_value: Employee, label: employment type} + - {column: J, row: 6068, expected_value: Value, label: measure} + - {column: L, row: 6069, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6070 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6070, expected_value: E12000005, label: geography} + - {column: D, row: 6070, expected_value: All persons, label: sex} + - {column: E, row: 6070, expected_value: Employee, label: employment type} + - {column: J, row: 6070, expected_value: Value, label: measure} + - {column: L, row: 6071, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6072 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6072, expected_value: E12000005, label: geography} + - {column: D, row: 6072, expected_value: All persons, label: sex} + - {column: E, row: 6072, expected_value: Employee, label: employment type} + - {column: J, row: 6072, expected_value: Value, label: measure} + - {column: L, row: 6073, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6074 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6074, expected_value: E12000005, label: geography} + - {column: D, row: 6074, expected_value: All persons, label: sex} + - {column: E, row: 6074, expected_value: Employee, label: employment type} + - {column: J, row: 6074, expected_value: Value, label: measure} + - {column: L, row: 6075, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6076 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6076, expected_value: E12000005, label: geography} + - {column: D, row: 6076, expected_value: All persons, label: sex} + - {column: E, row: 6076, expected_value: Employee, label: employment type} + - {column: J, row: 6076, expected_value: Value, label: measure} + - {column: L, row: 6077, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6078 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6078, expected_value: E12000005, label: geography} + - {column: D, row: 6078, expected_value: All persons, label: sex} + - {column: E, row: 6078, expected_value: Employee, label: employment type} + - {column: J, row: 6078, expected_value: Value, label: measure} + - {column: L, row: 6079, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6080 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6080, expected_value: E12000005, label: geography} + - {column: D, row: 6080, expected_value: All persons, label: sex} + - {column: E, row: 6080, expected_value: Employee, label: employment type} + - {column: J, row: 6080, expected_value: Value, label: measure} + - {column: L, row: 6081, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6082 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6082, expected_value: E12000005, label: geography} + - {column: D, row: 6082, expected_value: All persons, label: sex} + - {column: E, row: 6082, expected_value: Employee, label: employment type} + - {column: J, row: 6082, expected_value: Value, label: measure} + - {column: L, row: 6083, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6084 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6084, expected_value: E12000005, label: geography} + - {column: D, row: 6084, expected_value: All persons, label: sex} + - {column: E, row: 6084, expected_value: Employee, label: employment type} + - {column: J, row: 6084, expected_value: Value, label: measure} + - {column: L, row: 6085, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6086 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6086, expected_value: E12000005, label: geography} + - {column: D, row: 6086, expected_value: All persons, label: sex} + - {column: E, row: 6086, expected_value: Employee, label: employment type} + - {column: J, row: 6086, expected_value: Value, label: measure} + - {column: L, row: 6087, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6088 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6088, expected_value: E12000005, label: geography} + - {column: D, row: 6088, expected_value: All persons, label: sex} + - {column: E, row: 6088, expected_value: Employee, label: employment type} + - {column: J, row: 6088, expected_value: Value, label: measure} + - {column: L, row: 6089, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6090 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6090, expected_value: E12000005, label: geography} + - {column: D, row: 6090, expected_value: All persons, label: sex} + - {column: E, row: 6090, expected_value: Employee, label: employment type} + - {column: J, row: 6090, expected_value: Value, label: measure} + - {column: L, row: 6091, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6092 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6092, expected_value: E12000005, label: geography} + - {column: D, row: 6092, expected_value: All persons, label: sex} + - {column: E, row: 6092, expected_value: Employee, label: employment type} + - {column: J, row: 6092, expected_value: Value, label: measure} + - {column: L, row: 6093, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6094 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6094, expected_value: E12000005, label: geography} + - {column: D, row: 6094, expected_value: All persons, label: sex} + - {column: E, row: 6094, expected_value: Employee, label: employment type} + - {column: J, row: 6094, expected_value: Value, label: measure} + - {column: L, row: 6095, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6096 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6096, expected_value: E12000005, label: geography} + - {column: D, row: 6096, expected_value: All persons, label: sex} + - {column: E, row: 6096, expected_value: Employee, label: employment type} + - {column: J, row: 6096, expected_value: Value, label: measure} + - {column: L, row: 6097, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6098 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6098, expected_value: E12000005, label: geography} + - {column: D, row: 6098, expected_value: All persons, label: sex} + - {column: E, row: 6098, expected_value: Employee, label: employment type} + - {column: J, row: 6098, expected_value: Value, label: measure} + - {column: L, row: 6099, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6100 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6100, expected_value: E12000005, label: geography} + - {column: D, row: 6100, expected_value: All persons, label: sex} + - {column: E, row: 6100, expected_value: Employee, label: employment type} + - {column: J, row: 6100, expected_value: Value, label: measure} + - {column: L, row: 6101, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6102 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6102, expected_value: E12000005, label: geography} + - {column: D, row: 6102, expected_value: All persons, label: sex} + - {column: E, row: 6102, expected_value: Employee, label: employment type} + - {column: J, row: 6102, expected_value: Value, label: measure} + - {column: L, row: 6103, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6104 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6104, expected_value: E12000005, label: geography} + - {column: D, row: 6104, expected_value: All persons, label: sex} + - {column: E, row: 6104, expected_value: Employee, label: employment type} + - {column: J, row: 6104, expected_value: Value, label: measure} + - {column: L, row: 6105, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6106 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6106, expected_value: E12000005, label: geography} + - {column: D, row: 6106, expected_value: All persons, label: sex} + - {column: E, row: 6106, expected_value: Employee, label: employment type} + - {column: J, row: 6106, expected_value: Value, label: measure} + - {column: L, row: 6107, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6108 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6108, expected_value: E12000005, label: geography} + - {column: D, row: 6108, expected_value: All persons, label: sex} + - {column: E, row: 6108, expected_value: Employee, label: employment type} + - {column: J, row: 6108, expected_value: Value, label: measure} + - {column: L, row: 6109, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6110 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6110, expected_value: E12000005, label: geography} + - {column: D, row: 6110, expected_value: All persons, label: sex} + - {column: E, row: 6110, expected_value: Employee, label: employment type} + - {column: J, row: 6110, expected_value: Value, label: measure} + - {column: L, row: 6111, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6112 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6112, expected_value: E12000005, label: geography} + - {column: D, row: 6112, expected_value: All persons, label: sex} + - {column: E, row: 6112, expected_value: Employee, label: employment type} + - {column: J, row: 6112, expected_value: Value, label: measure} + - {column: L, row: 6113, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6114 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6114, expected_value: E12000005, label: geography} + - {column: D, row: 6114, expected_value: All persons, label: sex} + - {column: E, row: 6114, expected_value: Employee, label: employment type} + - {column: J, row: 6114, expected_value: Value, label: measure} + - {column: L, row: 6115, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6116 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6116, expected_value: E12000005, label: geography} + - {column: D, row: 6116, expected_value: All persons, label: sex} + - {column: E, row: 6116, expected_value: Employee, label: employment type} + - {column: J, row: 6116, expected_value: Value, label: measure} + - {column: L, row: 6117, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6118 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6118, expected_value: E12000005, label: geography} + - {column: D, row: 6118, expected_value: All persons, label: sex} + - {column: E, row: 6118, expected_value: Employee, label: employment type} + - {column: J, row: 6118, expected_value: Value, label: measure} + - {column: L, row: 6119, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6120 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6120, expected_value: E12000005, label: geography} + - {column: D, row: 6120, expected_value: All persons, label: sex} + - {column: E, row: 6120, expected_value: Employee, label: employment type} + - {column: J, row: 6120, expected_value: Value, label: measure} + - {column: L, row: 6121, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6051 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6051, expected_value: E12000005, label: geography} + - {column: D, row: 6051, expected_value: All persons, label: sex} + - {column: E, row: 6051, expected_value: Employee, label: employment type} + - {column: J, row: 6051, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6053 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6053, expected_value: E12000005, label: geography} + - {column: D, row: 6053, expected_value: All persons, label: sex} + - {column: E, row: 6053, expected_value: Employee, label: employment type} + - {column: J, row: 6053, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6055 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6055, expected_value: E12000005, label: geography} + - {column: D, row: 6055, expected_value: All persons, label: sex} + - {column: E, row: 6055, expected_value: Employee, label: employment type} + - {column: J, row: 6055, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6057 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6057, expected_value: E12000005, label: geography} + - {column: D, row: 6057, expected_value: All persons, label: sex} + - {column: E, row: 6057, expected_value: Employee, label: employment type} + - {column: J, row: 6057, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6059 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6059, expected_value: E12000005, label: geography} + - {column: D, row: 6059, expected_value: All persons, label: sex} + - {column: E, row: 6059, expected_value: Employee, label: employment type} + - {column: J, row: 6059, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6061 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6061, expected_value: E12000005, label: geography} + - {column: D, row: 6061, expected_value: All persons, label: sex} + - {column: E, row: 6061, expected_value: Employee, label: employment type} + - {column: J, row: 6061, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6063 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6063, expected_value: E12000005, label: geography} + - {column: D, row: 6063, expected_value: All persons, label: sex} + - {column: E, row: 6063, expected_value: Employee, label: employment type} + - {column: J, row: 6063, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6065 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6065, expected_value: E12000005, label: geography} + - {column: D, row: 6065, expected_value: All persons, label: sex} + - {column: E, row: 6065, expected_value: Employee, label: employment type} + - {column: J, row: 6065, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6067 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6067, expected_value: E12000005, label: geography} + - {column: D, row: 6067, expected_value: All persons, label: sex} + - {column: E, row: 6067, expected_value: Employee, label: employment type} + - {column: J, row: 6067, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6069 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6069, expected_value: E12000005, label: geography} + - {column: D, row: 6069, expected_value: All persons, label: sex} + - {column: E, row: 6069, expected_value: Employee, label: employment type} + - {column: J, row: 6069, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6071 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6071, expected_value: E12000005, label: geography} + - {column: D, row: 6071, expected_value: All persons, label: sex} + - {column: E, row: 6071, expected_value: Employee, label: employment type} + - {column: J, row: 6071, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6073 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6073, expected_value: E12000005, label: geography} + - {column: D, row: 6073, expected_value: All persons, label: sex} + - {column: E, row: 6073, expected_value: Employee, label: employment type} + - {column: J, row: 6073, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6075 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6075, expected_value: E12000005, label: geography} + - {column: D, row: 6075, expected_value: All persons, label: sex} + - {column: E, row: 6075, expected_value: Employee, label: employment type} + - {column: J, row: 6075, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6077 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6077, expected_value: E12000005, label: geography} + - {column: D, row: 6077, expected_value: All persons, label: sex} + - {column: E, row: 6077, expected_value: Employee, label: employment type} + - {column: J, row: 6077, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6079 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6079, expected_value: E12000005, label: geography} + - {column: D, row: 6079, expected_value: All persons, label: sex} + - {column: E, row: 6079, expected_value: Employee, label: employment type} + - {column: J, row: 6079, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6081 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6081, expected_value: E12000005, label: geography} + - {column: D, row: 6081, expected_value: All persons, label: sex} + - {column: E, row: 6081, expected_value: Employee, label: employment type} + - {column: J, row: 6081, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6083 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6083, expected_value: E12000005, label: geography} + - {column: D, row: 6083, expected_value: All persons, label: sex} + - {column: E, row: 6083, expected_value: Employee, label: employment type} + - {column: J, row: 6083, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6085 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6085, expected_value: E12000005, label: geography} + - {column: D, row: 6085, expected_value: All persons, label: sex} + - {column: E, row: 6085, expected_value: Employee, label: employment type} + - {column: J, row: 6085, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6087 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6087, expected_value: E12000005, label: geography} + - {column: D, row: 6087, expected_value: All persons, label: sex} + - {column: E, row: 6087, expected_value: Employee, label: employment type} + - {column: J, row: 6087, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6089 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6089, expected_value: E12000005, label: geography} + - {column: D, row: 6089, expected_value: All persons, label: sex} + - {column: E, row: 6089, expected_value: Employee, label: employment type} + - {column: J, row: 6089, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6091 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6091, expected_value: E12000005, label: geography} + - {column: D, row: 6091, expected_value: All persons, label: sex} + - {column: E, row: 6091, expected_value: Employee, label: employment type} + - {column: J, row: 6091, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6093 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6093, expected_value: E12000005, label: geography} + - {column: D, row: 6093, expected_value: All persons, label: sex} + - {column: E, row: 6093, expected_value: Employee, label: employment type} + - {column: J, row: 6093, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6095 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6095, expected_value: E12000005, label: geography} + - {column: D, row: 6095, expected_value: All persons, label: sex} + - {column: E, row: 6095, expected_value: Employee, label: employment type} + - {column: J, row: 6095, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6097 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6097, expected_value: E12000005, label: geography} + - {column: D, row: 6097, expected_value: All persons, label: sex} + - {column: E, row: 6097, expected_value: Employee, label: employment type} + - {column: J, row: 6097, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6099 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6099, expected_value: E12000005, label: geography} + - {column: D, row: 6099, expected_value: All persons, label: sex} + - {column: E, row: 6099, expected_value: Employee, label: employment type} + - {column: J, row: 6099, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6101 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6101, expected_value: E12000005, label: geography} + - {column: D, row: 6101, expected_value: All persons, label: sex} + - {column: E, row: 6101, expected_value: Employee, label: employment type} + - {column: J, row: 6101, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6105 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6105, expected_value: E12000005, label: geography} + - {column: D, row: 6105, expected_value: All persons, label: sex} + - {column: E, row: 6105, expected_value: Employee, label: employment type} + - {column: J, row: 6105, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6107 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6107, expected_value: E12000005, label: geography} + - {column: D, row: 6107, expected_value: All persons, label: sex} + - {column: E, row: 6107, expected_value: Employee, label: employment type} + - {column: J, row: 6107, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6109 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6109, expected_value: E12000005, label: geography} + - {column: D, row: 6109, expected_value: All persons, label: sex} + - {column: E, row: 6109, expected_value: Employee, label: employment type} + - {column: J, row: 6109, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6111 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6111, expected_value: E12000005, label: geography} + - {column: D, row: 6111, expected_value: All persons, label: sex} + - {column: E, row: 6111, expected_value: Employee, label: employment type} + - {column: J, row: 6111, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6113 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6113, expected_value: E12000005, label: geography} + - {column: D, row: 6113, expected_value: All persons, label: sex} + - {column: E, row: 6113, expected_value: Employee, label: employment type} + - {column: J, row: 6113, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6115 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6115, expected_value: E12000005, label: geography} + - {column: D, row: 6115, expected_value: All persons, label: sex} + - {column: E, row: 6115, expected_value: Employee, label: employment type} + - {column: J, row: 6115, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6117 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6117, expected_value: E12000005, label: geography} + - {column: D, row: 6117, expected_value: All persons, label: sex} + - {column: E, row: 6117, expected_value: Employee, label: employment type} + - {column: J, row: 6117, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6119 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6119, expected_value: E12000005, label: geography} + - {column: D, row: 6119, expected_value: All persons, label: sex} + - {column: E, row: 6119, expected_value: Employee, label: employment type} + - {column: J, row: 6119, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6121 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6121, expected_value: E12000005, label: geography} + - {column: D, row: 6121, expected_value: All persons, label: sex} + - {column: E, row: 6121, expected_value: Employee, label: employment type} + - {column: J, row: 6121, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6266 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6266, expected_value: E12000005, label: geography} + - {column: D, row: 6266, expected_value: All persons, label: sex} + - {column: E, row: 6266, expected_value: Self-employed, label: employment type} + - {column: J, row: 6266, expected_value: Value, label: measure} + - {column: L, row: 6267, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6268 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6268, expected_value: E12000005, label: geography} + - {column: D, row: 6268, expected_value: All persons, label: sex} + - {column: E, row: 6268, expected_value: Self-employed, label: employment type} + - {column: J, row: 6268, expected_value: Value, label: measure} + - {column: L, row: 6269, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6270 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6270, expected_value: E12000005, label: geography} + - {column: D, row: 6270, expected_value: All persons, label: sex} + - {column: E, row: 6270, expected_value: Self-employed, label: employment type} + - {column: J, row: 6270, expected_value: Value, label: measure} + - {column: L, row: 6271, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6272 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6272, expected_value: E12000005, label: geography} + - {column: D, row: 6272, expected_value: All persons, label: sex} + - {column: E, row: 6272, expected_value: Self-employed, label: employment type} + - {column: J, row: 6272, expected_value: Value, label: measure} + - {column: L, row: 6273, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6274 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6274, expected_value: E12000005, label: geography} + - {column: D, row: 6274, expected_value: All persons, label: sex} + - {column: E, row: 6274, expected_value: Self-employed, label: employment type} + - {column: J, row: 6274, expected_value: Value, label: measure} + - {column: L, row: 6275, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6276 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6276, expected_value: E12000005, label: geography} + - {column: D, row: 6276, expected_value: All persons, label: sex} + - {column: E, row: 6276, expected_value: Self-employed, label: employment type} + - {column: J, row: 6276, expected_value: Value, label: measure} + - {column: L, row: 6277, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6278 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6278, expected_value: E12000005, label: geography} + - {column: D, row: 6278, expected_value: All persons, label: sex} + - {column: E, row: 6278, expected_value: Self-employed, label: employment type} + - {column: J, row: 6278, expected_value: Value, label: measure} + - {column: L, row: 6279, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6280 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6280, expected_value: E12000005, label: geography} + - {column: D, row: 6280, expected_value: All persons, label: sex} + - {column: E, row: 6280, expected_value: Self-employed, label: employment type} + - {column: J, row: 6280, expected_value: Value, label: measure} + - {column: L, row: 6281, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6282 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6282, expected_value: E12000005, label: geography} + - {column: D, row: 6282, expected_value: All persons, label: sex} + - {column: E, row: 6282, expected_value: Self-employed, label: employment type} + - {column: J, row: 6282, expected_value: Value, label: measure} + - {column: L, row: 6283, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6284 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6284, expected_value: E12000005, label: geography} + - {column: D, row: 6284, expected_value: All persons, label: sex} + - {column: E, row: 6284, expected_value: Self-employed, label: employment type} + - {column: J, row: 6284, expected_value: Value, label: measure} + - {column: L, row: 6285, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6286 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6286, expected_value: E12000005, label: geography} + - {column: D, row: 6286, expected_value: All persons, label: sex} + - {column: E, row: 6286, expected_value: Self-employed, label: employment type} + - {column: J, row: 6286, expected_value: Value, label: measure} + - {column: L, row: 6287, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6288 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6288, expected_value: E12000005, label: geography} + - {column: D, row: 6288, expected_value: All persons, label: sex} + - {column: E, row: 6288, expected_value: Self-employed, label: employment type} + - {column: J, row: 6288, expected_value: Value, label: measure} + - {column: L, row: 6289, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6290 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6290, expected_value: E12000005, label: geography} + - {column: D, row: 6290, expected_value: All persons, label: sex} + - {column: E, row: 6290, expected_value: Self-employed, label: employment type} + - {column: J, row: 6290, expected_value: Value, label: measure} + - {column: L, row: 6291, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6292 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6292, expected_value: E12000005, label: geography} + - {column: D, row: 6292, expected_value: All persons, label: sex} + - {column: E, row: 6292, expected_value: Self-employed, label: employment type} + - {column: J, row: 6292, expected_value: Value, label: measure} + - {column: L, row: 6293, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6294 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6294, expected_value: E12000005, label: geography} + - {column: D, row: 6294, expected_value: All persons, label: sex} + - {column: E, row: 6294, expected_value: Self-employed, label: employment type} + - {column: J, row: 6294, expected_value: Value, label: measure} + - {column: L, row: 6295, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6296 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6296, expected_value: E12000005, label: geography} + - {column: D, row: 6296, expected_value: All persons, label: sex} + - {column: E, row: 6296, expected_value: Self-employed, label: employment type} + - {column: J, row: 6296, expected_value: Value, label: measure} + - {column: L, row: 6297, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6298 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6298, expected_value: E12000005, label: geography} + - {column: D, row: 6298, expected_value: All persons, label: sex} + - {column: E, row: 6298, expected_value: Self-employed, label: employment type} + - {column: J, row: 6298, expected_value: Value, label: measure} + - {column: L, row: 6299, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6300 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6300, expected_value: E12000005, label: geography} + - {column: D, row: 6300, expected_value: All persons, label: sex} + - {column: E, row: 6300, expected_value: Self-employed, label: employment type} + - {column: J, row: 6300, expected_value: Value, label: measure} + - {column: L, row: 6301, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6302 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6302, expected_value: E12000005, label: geography} + - {column: D, row: 6302, expected_value: All persons, label: sex} + - {column: E, row: 6302, expected_value: Self-employed, label: employment type} + - {column: J, row: 6302, expected_value: Value, label: measure} + - {column: L, row: 6303, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6304 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6304, expected_value: E12000005, label: geography} + - {column: D, row: 6304, expected_value: All persons, label: sex} + - {column: E, row: 6304, expected_value: Self-employed, label: employment type} + - {column: J, row: 6304, expected_value: Value, label: measure} + - {column: L, row: 6305, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6306 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6306, expected_value: E12000005, label: geography} + - {column: D, row: 6306, expected_value: All persons, label: sex} + - {column: E, row: 6306, expected_value: Self-employed, label: employment type} + - {column: J, row: 6306, expected_value: Value, label: measure} + - {column: L, row: 6307, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6308 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6308, expected_value: E12000005, label: geography} + - {column: D, row: 6308, expected_value: All persons, label: sex} + - {column: E, row: 6308, expected_value: Self-employed, label: employment type} + - {column: J, row: 6308, expected_value: Value, label: measure} + - {column: L, row: 6309, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6310 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6310, expected_value: E12000005, label: geography} + - {column: D, row: 6310, expected_value: All persons, label: sex} + - {column: E, row: 6310, expected_value: Self-employed, label: employment type} + - {column: J, row: 6310, expected_value: Value, label: measure} + - {column: L, row: 6311, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6312 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6312, expected_value: E12000005, label: geography} + - {column: D, row: 6312, expected_value: All persons, label: sex} + - {column: E, row: 6312, expected_value: Self-employed, label: employment type} + - {column: J, row: 6312, expected_value: Value, label: measure} + - {column: L, row: 6313, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6314 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6314, expected_value: E12000005, label: geography} + - {column: D, row: 6314, expected_value: All persons, label: sex} + - {column: E, row: 6314, expected_value: Self-employed, label: employment type} + - {column: J, row: 6314, expected_value: Value, label: measure} + - {column: L, row: 6315, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6316 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6316, expected_value: E12000005, label: geography} + - {column: D, row: 6316, expected_value: All persons, label: sex} + - {column: E, row: 6316, expected_value: Self-employed, label: employment type} + - {column: J, row: 6316, expected_value: Value, label: measure} + - {column: L, row: 6317, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6320 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6320, expected_value: E12000005, label: geography} + - {column: D, row: 6320, expected_value: All persons, label: sex} + - {column: E, row: 6320, expected_value: Self-employed, label: employment type} + - {column: J, row: 6320, expected_value: Value, label: measure} + - {column: L, row: 6321, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6322 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6322, expected_value: E12000005, label: geography} + - {column: D, row: 6322, expected_value: All persons, label: sex} + - {column: E, row: 6322, expected_value: Self-employed, label: employment type} + - {column: J, row: 6322, expected_value: Value, label: measure} + - {column: L, row: 6323, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6324 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6324, expected_value: E12000005, label: geography} + - {column: D, row: 6324, expected_value: All persons, label: sex} + - {column: E, row: 6324, expected_value: Self-employed, label: employment type} + - {column: J, row: 6324, expected_value: Value, label: measure} + - {column: L, row: 6325, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6326 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6326, expected_value: E12000005, label: geography} + - {column: D, row: 6326, expected_value: All persons, label: sex} + - {column: E, row: 6326, expected_value: Self-employed, label: employment type} + - {column: J, row: 6326, expected_value: Value, label: measure} + - {column: L, row: 6327, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6328 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6328, expected_value: E12000005, label: geography} + - {column: D, row: 6328, expected_value: All persons, label: sex} + - {column: E, row: 6328, expected_value: Self-employed, label: employment type} + - {column: J, row: 6328, expected_value: Value, label: measure} + - {column: L, row: 6329, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6330 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6330, expected_value: E12000005, label: geography} + - {column: D, row: 6330, expected_value: All persons, label: sex} + - {column: E, row: 6330, expected_value: Self-employed, label: employment type} + - {column: J, row: 6330, expected_value: Value, label: measure} + - {column: L, row: 6331, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6332 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6332, expected_value: E12000005, label: geography} + - {column: D, row: 6332, expected_value: All persons, label: sex} + - {column: E, row: 6332, expected_value: Self-employed, label: employment type} + - {column: J, row: 6332, expected_value: Value, label: measure} + - {column: L, row: 6333, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6334 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6334, expected_value: E12000005, label: geography} + - {column: D, row: 6334, expected_value: All persons, label: sex} + - {column: E, row: 6334, expected_value: Self-employed, label: employment type} + - {column: J, row: 6334, expected_value: Value, label: measure} + - {column: L, row: 6335, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6336 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6336, expected_value: E12000005, label: geography} + - {column: D, row: 6336, expected_value: All persons, label: sex} + - {column: E, row: 6336, expected_value: Self-employed, label: employment type} + - {column: J, row: 6336, expected_value: Value, label: measure} + - {column: L, row: 6337, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6267 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6267, expected_value: E12000005, label: geography} + - {column: D, row: 6267, expected_value: All persons, label: sex} + - {column: E, row: 6267, expected_value: Self-employed, label: employment type} + - {column: J, row: 6267, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6269 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6269, expected_value: E12000005, label: geography} + - {column: D, row: 6269, expected_value: All persons, label: sex} + - {column: E, row: 6269, expected_value: Self-employed, label: employment type} + - {column: J, row: 6269, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6271 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6271, expected_value: E12000005, label: geography} + - {column: D, row: 6271, expected_value: All persons, label: sex} + - {column: E, row: 6271, expected_value: Self-employed, label: employment type} + - {column: J, row: 6271, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6273 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6273, expected_value: E12000005, label: geography} + - {column: D, row: 6273, expected_value: All persons, label: sex} + - {column: E, row: 6273, expected_value: Self-employed, label: employment type} + - {column: J, row: 6273, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6275 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6275, expected_value: E12000005, label: geography} + - {column: D, row: 6275, expected_value: All persons, label: sex} + - {column: E, row: 6275, expected_value: Self-employed, label: employment type} + - {column: J, row: 6275, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6277 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6277, expected_value: E12000005, label: geography} + - {column: D, row: 6277, expected_value: All persons, label: sex} + - {column: E, row: 6277, expected_value: Self-employed, label: employment type} + - {column: J, row: 6277, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6279 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6279, expected_value: E12000005, label: geography} + - {column: D, row: 6279, expected_value: All persons, label: sex} + - {column: E, row: 6279, expected_value: Self-employed, label: employment type} + - {column: J, row: 6279, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6281 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6281, expected_value: E12000005, label: geography} + - {column: D, row: 6281, expected_value: All persons, label: sex} + - {column: E, row: 6281, expected_value: Self-employed, label: employment type} + - {column: J, row: 6281, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6283 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6283, expected_value: E12000005, label: geography} + - {column: D, row: 6283, expected_value: All persons, label: sex} + - {column: E, row: 6283, expected_value: Self-employed, label: employment type} + - {column: J, row: 6283, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6285 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6285, expected_value: E12000005, label: geography} + - {column: D, row: 6285, expected_value: All persons, label: sex} + - {column: E, row: 6285, expected_value: Self-employed, label: employment type} + - {column: J, row: 6285, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6289 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6289, expected_value: E12000005, label: geography} + - {column: D, row: 6289, expected_value: All persons, label: sex} + - {column: E, row: 6289, expected_value: Self-employed, label: employment type} + - {column: J, row: 6289, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6293 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6293, expected_value: E12000005, label: geography} + - {column: D, row: 6293, expected_value: All persons, label: sex} + - {column: E, row: 6293, expected_value: Self-employed, label: employment type} + - {column: J, row: 6293, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6295 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6295, expected_value: E12000005, label: geography} + - {column: D, row: 6295, expected_value: All persons, label: sex} + - {column: E, row: 6295, expected_value: Self-employed, label: employment type} + - {column: J, row: 6295, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6297 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6297, expected_value: E12000005, label: geography} + - {column: D, row: 6297, expected_value: All persons, label: sex} + - {column: E, row: 6297, expected_value: Self-employed, label: employment type} + - {column: J, row: 6297, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6299 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6299, expected_value: E12000005, label: geography} + - {column: D, row: 6299, expected_value: All persons, label: sex} + - {column: E, row: 6299, expected_value: Self-employed, label: employment type} + - {column: J, row: 6299, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6303 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6303, expected_value: E12000005, label: geography} + - {column: D, row: 6303, expected_value: All persons, label: sex} + - {column: E, row: 6303, expected_value: Self-employed, label: employment type} + - {column: J, row: 6303, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6305 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6305, expected_value: E12000005, label: geography} + - {column: D, row: 6305, expected_value: All persons, label: sex} + - {column: E, row: 6305, expected_value: Self-employed, label: employment type} + - {column: J, row: 6305, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6307 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6307, expected_value: E12000005, label: geography} + - {column: D, row: 6307, expected_value: All persons, label: sex} + - {column: E, row: 6307, expected_value: Self-employed, label: employment type} + - {column: J, row: 6307, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6309 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6309, expected_value: E12000005, label: geography} + - {column: D, row: 6309, expected_value: All persons, label: sex} + - {column: E, row: 6309, expected_value: Self-employed, label: employment type} + - {column: J, row: 6309, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6311 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6311, expected_value: E12000005, label: geography} + - {column: D, row: 6311, expected_value: All persons, label: sex} + - {column: E, row: 6311, expected_value: Self-employed, label: employment type} + - {column: J, row: 6311, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6313 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6313, expected_value: E12000005, label: geography} + - {column: D, row: 6313, expected_value: All persons, label: sex} + - {column: E, row: 6313, expected_value: Self-employed, label: employment type} + - {column: J, row: 6313, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6315 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6315, expected_value: E12000005, label: geography} + - {column: D, row: 6315, expected_value: All persons, label: sex} + - {column: E, row: 6315, expected_value: Self-employed, label: employment type} + - {column: J, row: 6315, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6317 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6317, expected_value: E12000005, label: geography} + - {column: D, row: 6317, expected_value: All persons, label: sex} + - {column: E, row: 6317, expected_value: Self-employed, label: employment type} + - {column: J, row: 6317, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6321 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6321, expected_value: E12000005, label: geography} + - {column: D, row: 6321, expected_value: All persons, label: sex} + - {column: E, row: 6321, expected_value: Self-employed, label: employment type} + - {column: J, row: 6321, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6323 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6323, expected_value: E12000005, label: geography} + - {column: D, row: 6323, expected_value: All persons, label: sex} + - {column: E, row: 6323, expected_value: Self-employed, label: employment type} + - {column: J, row: 6323, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6327 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6327, expected_value: E12000005, label: geography} + - {column: D, row: 6327, expected_value: All persons, label: sex} + - {column: E, row: 6327, expected_value: Self-employed, label: employment type} + - {column: J, row: 6327, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6329 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6329, expected_value: E12000005, label: geography} + - {column: D, row: 6329, expected_value: All persons, label: sex} + - {column: E, row: 6329, expected_value: Self-employed, label: employment type} + - {column: J, row: 6329, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6331 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6331, expected_value: E12000005, label: geography} + - {column: D, row: 6331, expected_value: All persons, label: sex} + - {column: E, row: 6331, expected_value: Self-employed, label: employment type} + - {column: J, row: 6331, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6333 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6333, expected_value: E12000005, label: geography} + - {column: D, row: 6333, expected_value: All persons, label: sex} + - {column: E, row: 6333, expected_value: Self-employed, label: employment type} + - {column: J, row: 6333, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6335 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6335, expected_value: E12000005, label: geography} + - {column: D, row: 6335, expected_value: All persons, label: sex} + - {column: E, row: 6335, expected_value: Self-employed, label: employment type} + - {column: J, row: 6335, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6337 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6337, expected_value: E12000005, label: geography} + - {column: D, row: 6337, expected_value: All persons, label: sex} + - {column: E, row: 6337, expected_value: Self-employed, label: employment type} + - {column: J, row: 6337, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5906 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5906, expected_value: E12000005, label: geography} + - {column: D, row: 5906, expected_value: Males, label: sex} + - {column: E, row: 5906, expected_value: Total, label: employment type} + - {column: J, row: 5906, expected_value: Value, label: measure} + - {column: L, row: 5907, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5908 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5908, expected_value: E12000005, label: geography} + - {column: D, row: 5908, expected_value: Males, label: sex} + - {column: E, row: 5908, expected_value: Total, label: employment type} + - {column: J, row: 5908, expected_value: Value, label: measure} + - {column: L, row: 5909, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5910 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5910, expected_value: E12000005, label: geography} + - {column: D, row: 5910, expected_value: Males, label: sex} + - {column: E, row: 5910, expected_value: Total, label: employment type} + - {column: J, row: 5910, expected_value: Value, label: measure} + - {column: L, row: 5911, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5912 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5912, expected_value: E12000005, label: geography} + - {column: D, row: 5912, expected_value: Males, label: sex} + - {column: E, row: 5912, expected_value: Total, label: employment type} + - {column: J, row: 5912, expected_value: Value, label: measure} + - {column: L, row: 5913, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5914 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5914, expected_value: E12000005, label: geography} + - {column: D, row: 5914, expected_value: Males, label: sex} + - {column: E, row: 5914, expected_value: Total, label: employment type} + - {column: J, row: 5914, expected_value: Value, label: measure} + - {column: L, row: 5915, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5916 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5916, expected_value: E12000005, label: geography} + - {column: D, row: 5916, expected_value: Males, label: sex} + - {column: E, row: 5916, expected_value: Total, label: employment type} + - {column: J, row: 5916, expected_value: Value, label: measure} + - {column: L, row: 5917, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5918 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5918, expected_value: E12000005, label: geography} + - {column: D, row: 5918, expected_value: Males, label: sex} + - {column: E, row: 5918, expected_value: Total, label: employment type} + - {column: J, row: 5918, expected_value: Value, label: measure} + - {column: L, row: 5919, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5920 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5920, expected_value: E12000005, label: geography} + - {column: D, row: 5920, expected_value: Males, label: sex} + - {column: E, row: 5920, expected_value: Total, label: employment type} + - {column: J, row: 5920, expected_value: Value, label: measure} + - {column: L, row: 5921, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5922 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5922, expected_value: E12000005, label: geography} + - {column: D, row: 5922, expected_value: Males, label: sex} + - {column: E, row: 5922, expected_value: Total, label: employment type} + - {column: J, row: 5922, expected_value: Value, label: measure} + - {column: L, row: 5923, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5924 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5924, expected_value: E12000005, label: geography} + - {column: D, row: 5924, expected_value: Males, label: sex} + - {column: E, row: 5924, expected_value: Total, label: employment type} + - {column: J, row: 5924, expected_value: Value, label: measure} + - {column: L, row: 5925, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5926 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5926, expected_value: E12000005, label: geography} + - {column: D, row: 5926, expected_value: Males, label: sex} + - {column: E, row: 5926, expected_value: Total, label: employment type} + - {column: J, row: 5926, expected_value: Value, label: measure} + - {column: L, row: 5927, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5928 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5928, expected_value: E12000005, label: geography} + - {column: D, row: 5928, expected_value: Males, label: sex} + - {column: E, row: 5928, expected_value: Total, label: employment type} + - {column: J, row: 5928, expected_value: Value, label: measure} + - {column: L, row: 5929, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5930 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5930, expected_value: E12000005, label: geography} + - {column: D, row: 5930, expected_value: Males, label: sex} + - {column: E, row: 5930, expected_value: Total, label: employment type} + - {column: J, row: 5930, expected_value: Value, label: measure} + - {column: L, row: 5931, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5932 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5932, expected_value: E12000005, label: geography} + - {column: D, row: 5932, expected_value: Males, label: sex} + - {column: E, row: 5932, expected_value: Total, label: employment type} + - {column: J, row: 5932, expected_value: Value, label: measure} + - {column: L, row: 5933, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5934 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5934, expected_value: E12000005, label: geography} + - {column: D, row: 5934, expected_value: Males, label: sex} + - {column: E, row: 5934, expected_value: Total, label: employment type} + - {column: J, row: 5934, expected_value: Value, label: measure} + - {column: L, row: 5935, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5936 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5936, expected_value: E12000005, label: geography} + - {column: D, row: 5936, expected_value: Males, label: sex} + - {column: E, row: 5936, expected_value: Total, label: employment type} + - {column: J, row: 5936, expected_value: Value, label: measure} + - {column: L, row: 5937, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5938 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5938, expected_value: E12000005, label: geography} + - {column: D, row: 5938, expected_value: Males, label: sex} + - {column: E, row: 5938, expected_value: Total, label: employment type} + - {column: J, row: 5938, expected_value: Value, label: measure} + - {column: L, row: 5939, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5940 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5940, expected_value: E12000005, label: geography} + - {column: D, row: 5940, expected_value: Males, label: sex} + - {column: E, row: 5940, expected_value: Total, label: employment type} + - {column: J, row: 5940, expected_value: Value, label: measure} + - {column: L, row: 5941, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5942 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5942, expected_value: E12000005, label: geography} + - {column: D, row: 5942, expected_value: Males, label: sex} + - {column: E, row: 5942, expected_value: Total, label: employment type} + - {column: J, row: 5942, expected_value: Value, label: measure} + - {column: L, row: 5943, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5944 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5944, expected_value: E12000005, label: geography} + - {column: D, row: 5944, expected_value: Males, label: sex} + - {column: E, row: 5944, expected_value: Total, label: employment type} + - {column: J, row: 5944, expected_value: Value, label: measure} + - {column: L, row: 5945, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5946 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5946, expected_value: E12000005, label: geography} + - {column: D, row: 5946, expected_value: Males, label: sex} + - {column: E, row: 5946, expected_value: Total, label: employment type} + - {column: J, row: 5946, expected_value: Value, label: measure} + - {column: L, row: 5947, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5948 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5948, expected_value: E12000005, label: geography} + - {column: D, row: 5948, expected_value: Males, label: sex} + - {column: E, row: 5948, expected_value: Total, label: employment type} + - {column: J, row: 5948, expected_value: Value, label: measure} + - {column: L, row: 5949, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5950 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5950, expected_value: E12000005, label: geography} + - {column: D, row: 5950, expected_value: Males, label: sex} + - {column: E, row: 5950, expected_value: Total, label: employment type} + - {column: J, row: 5950, expected_value: Value, label: measure} + - {column: L, row: 5951, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5952 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5952, expected_value: E12000005, label: geography} + - {column: D, row: 5952, expected_value: Males, label: sex} + - {column: E, row: 5952, expected_value: Total, label: employment type} + - {column: J, row: 5952, expected_value: Value, label: measure} + - {column: L, row: 5953, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5954 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5954, expected_value: E12000005, label: geography} + - {column: D, row: 5954, expected_value: Males, label: sex} + - {column: E, row: 5954, expected_value: Total, label: employment type} + - {column: J, row: 5954, expected_value: Value, label: measure} + - {column: L, row: 5955, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5956 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5956, expected_value: E12000005, label: geography} + - {column: D, row: 5956, expected_value: Males, label: sex} + - {column: E, row: 5956, expected_value: Total, label: employment type} + - {column: J, row: 5956, expected_value: Value, label: measure} + - {column: L, row: 5957, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5958 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5958, expected_value: E12000005, label: geography} + - {column: D, row: 5958, expected_value: Males, label: sex} + - {column: E, row: 5958, expected_value: Total, label: employment type} + - {column: J, row: 5958, expected_value: Value, label: measure} + - {column: L, row: 5959, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5960 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5960, expected_value: E12000005, label: geography} + - {column: D, row: 5960, expected_value: Males, label: sex} + - {column: E, row: 5960, expected_value: Total, label: employment type} + - {column: J, row: 5960, expected_value: Value, label: measure} + - {column: L, row: 5961, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5962 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5962, expected_value: E12000005, label: geography} + - {column: D, row: 5962, expected_value: Males, label: sex} + - {column: E, row: 5962, expected_value: Total, label: employment type} + - {column: J, row: 5962, expected_value: Value, label: measure} + - {column: L, row: 5963, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5964 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5964, expected_value: E12000005, label: geography} + - {column: D, row: 5964, expected_value: Males, label: sex} + - {column: E, row: 5964, expected_value: Total, label: employment type} + - {column: J, row: 5964, expected_value: Value, label: measure} + - {column: L, row: 5965, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5966 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5966, expected_value: E12000005, label: geography} + - {column: D, row: 5966, expected_value: Males, label: sex} + - {column: E, row: 5966, expected_value: Total, label: employment type} + - {column: J, row: 5966, expected_value: Value, label: measure} + - {column: L, row: 5967, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5968 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5968, expected_value: E12000005, label: geography} + - {column: D, row: 5968, expected_value: Males, label: sex} + - {column: E, row: 5968, expected_value: Total, label: employment type} + - {column: J, row: 5968, expected_value: Value, label: measure} + - {column: L, row: 5969, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5970 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5970, expected_value: E12000005, label: geography} + - {column: D, row: 5970, expected_value: Males, label: sex} + - {column: E, row: 5970, expected_value: Total, label: employment type} + - {column: J, row: 5970, expected_value: Value, label: measure} + - {column: L, row: 5971, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5972 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5972, expected_value: E12000005, label: geography} + - {column: D, row: 5972, expected_value: Males, label: sex} + - {column: E, row: 5972, expected_value: Total, label: employment type} + - {column: J, row: 5972, expected_value: Value, label: measure} + - {column: L, row: 5973, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5974 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5974, expected_value: E12000005, label: geography} + - {column: D, row: 5974, expected_value: Males, label: sex} + - {column: E, row: 5974, expected_value: Total, label: employment type} + - {column: J, row: 5974, expected_value: Value, label: measure} + - {column: L, row: 5975, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5976 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5976, expected_value: E12000005, label: geography} + - {column: D, row: 5976, expected_value: Males, label: sex} + - {column: E, row: 5976, expected_value: Total, label: employment type} + - {column: J, row: 5976, expected_value: Value, label: measure} + - {column: L, row: 5977, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5907 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5907, expected_value: E12000005, label: geography} + - {column: D, row: 5907, expected_value: Males, label: sex} + - {column: E, row: 5907, expected_value: Total, label: employment type} + - {column: J, row: 5907, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5909 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5909, expected_value: E12000005, label: geography} + - {column: D, row: 5909, expected_value: Males, label: sex} + - {column: E, row: 5909, expected_value: Total, label: employment type} + - {column: J, row: 5909, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5911 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5911, expected_value: E12000005, label: geography} + - {column: D, row: 5911, expected_value: Males, label: sex} + - {column: E, row: 5911, expected_value: Total, label: employment type} + - {column: J, row: 5911, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5913 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5913, expected_value: E12000005, label: geography} + - {column: D, row: 5913, expected_value: Males, label: sex} + - {column: E, row: 5913, expected_value: Total, label: employment type} + - {column: J, row: 5913, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5915 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5915, expected_value: E12000005, label: geography} + - {column: D, row: 5915, expected_value: Males, label: sex} + - {column: E, row: 5915, expected_value: Total, label: employment type} + - {column: J, row: 5915, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5917 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5917, expected_value: E12000005, label: geography} + - {column: D, row: 5917, expected_value: Males, label: sex} + - {column: E, row: 5917, expected_value: Total, label: employment type} + - {column: J, row: 5917, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5919 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5919, expected_value: E12000005, label: geography} + - {column: D, row: 5919, expected_value: Males, label: sex} + - {column: E, row: 5919, expected_value: Total, label: employment type} + - {column: J, row: 5919, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5921 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5921, expected_value: E12000005, label: geography} + - {column: D, row: 5921, expected_value: Males, label: sex} + - {column: E, row: 5921, expected_value: Total, label: employment type} + - {column: J, row: 5921, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5923 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5923, expected_value: E12000005, label: geography} + - {column: D, row: 5923, expected_value: Males, label: sex} + - {column: E, row: 5923, expected_value: Total, label: employment type} + - {column: J, row: 5923, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5925 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5925, expected_value: E12000005, label: geography} + - {column: D, row: 5925, expected_value: Males, label: sex} + - {column: E, row: 5925, expected_value: Total, label: employment type} + - {column: J, row: 5925, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5927 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5927, expected_value: E12000005, label: geography} + - {column: D, row: 5927, expected_value: Males, label: sex} + - {column: E, row: 5927, expected_value: Total, label: employment type} + - {column: J, row: 5927, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5929 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5929, expected_value: E12000005, label: geography} + - {column: D, row: 5929, expected_value: Males, label: sex} + - {column: E, row: 5929, expected_value: Total, label: employment type} + - {column: J, row: 5929, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5931 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5931, expected_value: E12000005, label: geography} + - {column: D, row: 5931, expected_value: Males, label: sex} + - {column: E, row: 5931, expected_value: Total, label: employment type} + - {column: J, row: 5931, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5933 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5933, expected_value: E12000005, label: geography} + - {column: D, row: 5933, expected_value: Males, label: sex} + - {column: E, row: 5933, expected_value: Total, label: employment type} + - {column: J, row: 5933, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5935 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5935, expected_value: E12000005, label: geography} + - {column: D, row: 5935, expected_value: Males, label: sex} + - {column: E, row: 5935, expected_value: Total, label: employment type} + - {column: J, row: 5935, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5937 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5937, expected_value: E12000005, label: geography} + - {column: D, row: 5937, expected_value: Males, label: sex} + - {column: E, row: 5937, expected_value: Total, label: employment type} + - {column: J, row: 5937, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5939 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5939, expected_value: E12000005, label: geography} + - {column: D, row: 5939, expected_value: Males, label: sex} + - {column: E, row: 5939, expected_value: Total, label: employment type} + - {column: J, row: 5939, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5943 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5943, expected_value: E12000005, label: geography} + - {column: D, row: 5943, expected_value: Males, label: sex} + - {column: E, row: 5943, expected_value: Total, label: employment type} + - {column: J, row: 5943, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5945 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5945, expected_value: E12000005, label: geography} + - {column: D, row: 5945, expected_value: Males, label: sex} + - {column: E, row: 5945, expected_value: Total, label: employment type} + - {column: J, row: 5945, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5947 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5947, expected_value: E12000005, label: geography} + - {column: D, row: 5947, expected_value: Males, label: sex} + - {column: E, row: 5947, expected_value: Total, label: employment type} + - {column: J, row: 5947, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5949 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5949, expected_value: E12000005, label: geography} + - {column: D, row: 5949, expected_value: Males, label: sex} + - {column: E, row: 5949, expected_value: Total, label: employment type} + - {column: J, row: 5949, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5951 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5951, expected_value: E12000005, label: geography} + - {column: D, row: 5951, expected_value: Males, label: sex} + - {column: E, row: 5951, expected_value: Total, label: employment type} + - {column: J, row: 5951, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5953 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5953, expected_value: E12000005, label: geography} + - {column: D, row: 5953, expected_value: Males, label: sex} + - {column: E, row: 5953, expected_value: Total, label: employment type} + - {column: J, row: 5953, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5955 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5955, expected_value: E12000005, label: geography} + - {column: D, row: 5955, expected_value: Males, label: sex} + - {column: E, row: 5955, expected_value: Total, label: employment type} + - {column: J, row: 5955, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5957 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5957, expected_value: E12000005, label: geography} + - {column: D, row: 5957, expected_value: Males, label: sex} + - {column: E, row: 5957, expected_value: Total, label: employment type} + - {column: J, row: 5957, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5961 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5961, expected_value: E12000005, label: geography} + - {column: D, row: 5961, expected_value: Males, label: sex} + - {column: E, row: 5961, expected_value: Total, label: employment type} + - {column: J, row: 5961, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5963 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5963, expected_value: E12000005, label: geography} + - {column: D, row: 5963, expected_value: Males, label: sex} + - {column: E, row: 5963, expected_value: Total, label: employment type} + - {column: J, row: 5963, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5965 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5965, expected_value: E12000005, label: geography} + - {column: D, row: 5965, expected_value: Males, label: sex} + - {column: E, row: 5965, expected_value: Total, label: employment type} + - {column: J, row: 5965, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5967 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5967, expected_value: E12000005, label: geography} + - {column: D, row: 5967, expected_value: Males, label: sex} + - {column: E, row: 5967, expected_value: Total, label: employment type} + - {column: J, row: 5967, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5969 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5969, expected_value: E12000005, label: geography} + - {column: D, row: 5969, expected_value: Males, label: sex} + - {column: E, row: 5969, expected_value: Total, label: employment type} + - {column: J, row: 5969, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5971 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5971, expected_value: E12000005, label: geography} + - {column: D, row: 5971, expected_value: Males, label: sex} + - {column: E, row: 5971, expected_value: Total, label: employment type} + - {column: J, row: 5971, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5973 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5973, expected_value: E12000005, label: geography} + - {column: D, row: 5973, expected_value: Males, label: sex} + - {column: E, row: 5973, expected_value: Total, label: employment type} + - {column: J, row: 5973, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5975 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5975, expected_value: E12000005, label: geography} + - {column: D, row: 5975, expected_value: Males, label: sex} + - {column: E, row: 5975, expected_value: Total, label: employment type} + - {column: J, row: 5975, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5977 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5977, expected_value: E12000005, label: geography} + - {column: D, row: 5977, expected_value: Males, label: sex} + - {column: E, row: 5977, expected_value: Total, label: employment type} + - {column: J, row: 5977, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6122 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6122, expected_value: E12000005, label: geography} + - {column: D, row: 6122, expected_value: Males, label: sex} + - {column: E, row: 6122, expected_value: Employee, label: employment type} + - {column: J, row: 6122, expected_value: Value, label: measure} + - {column: L, row: 6123, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6124 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6124, expected_value: E12000005, label: geography} + - {column: D, row: 6124, expected_value: Males, label: sex} + - {column: E, row: 6124, expected_value: Employee, label: employment type} + - {column: J, row: 6124, expected_value: Value, label: measure} + - {column: L, row: 6125, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6126 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6126, expected_value: E12000005, label: geography} + - {column: D, row: 6126, expected_value: Males, label: sex} + - {column: E, row: 6126, expected_value: Employee, label: employment type} + - {column: J, row: 6126, expected_value: Value, label: measure} + - {column: L, row: 6127, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6128 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6128, expected_value: E12000005, label: geography} + - {column: D, row: 6128, expected_value: Males, label: sex} + - {column: E, row: 6128, expected_value: Employee, label: employment type} + - {column: J, row: 6128, expected_value: Value, label: measure} + - {column: L, row: 6129, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6130 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6130, expected_value: E12000005, label: geography} + - {column: D, row: 6130, expected_value: Males, label: sex} + - {column: E, row: 6130, expected_value: Employee, label: employment type} + - {column: J, row: 6130, expected_value: Value, label: measure} + - {column: L, row: 6131, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6132 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6132, expected_value: E12000005, label: geography} + - {column: D, row: 6132, expected_value: Males, label: sex} + - {column: E, row: 6132, expected_value: Employee, label: employment type} + - {column: J, row: 6132, expected_value: Value, label: measure} + - {column: L, row: 6133, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6134 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6134, expected_value: E12000005, label: geography} + - {column: D, row: 6134, expected_value: Males, label: sex} + - {column: E, row: 6134, expected_value: Employee, label: employment type} + - {column: J, row: 6134, expected_value: Value, label: measure} + - {column: L, row: 6135, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6136 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6136, expected_value: E12000005, label: geography} + - {column: D, row: 6136, expected_value: Males, label: sex} + - {column: E, row: 6136, expected_value: Employee, label: employment type} + - {column: J, row: 6136, expected_value: Value, label: measure} + - {column: L, row: 6137, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6138 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6138, expected_value: E12000005, label: geography} + - {column: D, row: 6138, expected_value: Males, label: sex} + - {column: E, row: 6138, expected_value: Employee, label: employment type} + - {column: J, row: 6138, expected_value: Value, label: measure} + - {column: L, row: 6139, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6140 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6140, expected_value: E12000005, label: geography} + - {column: D, row: 6140, expected_value: Males, label: sex} + - {column: E, row: 6140, expected_value: Employee, label: employment type} + - {column: J, row: 6140, expected_value: Value, label: measure} + - {column: L, row: 6141, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6142 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6142, expected_value: E12000005, label: geography} + - {column: D, row: 6142, expected_value: Males, label: sex} + - {column: E, row: 6142, expected_value: Employee, label: employment type} + - {column: J, row: 6142, expected_value: Value, label: measure} + - {column: L, row: 6143, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6144 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6144, expected_value: E12000005, label: geography} + - {column: D, row: 6144, expected_value: Males, label: sex} + - {column: E, row: 6144, expected_value: Employee, label: employment type} + - {column: J, row: 6144, expected_value: Value, label: measure} + - {column: L, row: 6145, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6146 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6146, expected_value: E12000005, label: geography} + - {column: D, row: 6146, expected_value: Males, label: sex} + - {column: E, row: 6146, expected_value: Employee, label: employment type} + - {column: J, row: 6146, expected_value: Value, label: measure} + - {column: L, row: 6147, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6148 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6148, expected_value: E12000005, label: geography} + - {column: D, row: 6148, expected_value: Males, label: sex} + - {column: E, row: 6148, expected_value: Employee, label: employment type} + - {column: J, row: 6148, expected_value: Value, label: measure} + - {column: L, row: 6149, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6150 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6150, expected_value: E12000005, label: geography} + - {column: D, row: 6150, expected_value: Males, label: sex} + - {column: E, row: 6150, expected_value: Employee, label: employment type} + - {column: J, row: 6150, expected_value: Value, label: measure} + - {column: L, row: 6151, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6152 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6152, expected_value: E12000005, label: geography} + - {column: D, row: 6152, expected_value: Males, label: sex} + - {column: E, row: 6152, expected_value: Employee, label: employment type} + - {column: J, row: 6152, expected_value: Value, label: measure} + - {column: L, row: 6153, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6154 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6154, expected_value: E12000005, label: geography} + - {column: D, row: 6154, expected_value: Males, label: sex} + - {column: E, row: 6154, expected_value: Employee, label: employment type} + - {column: J, row: 6154, expected_value: Value, label: measure} + - {column: L, row: 6155, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6156 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6156, expected_value: E12000005, label: geography} + - {column: D, row: 6156, expected_value: Males, label: sex} + - {column: E, row: 6156, expected_value: Employee, label: employment type} + - {column: J, row: 6156, expected_value: Value, label: measure} + - {column: L, row: 6157, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6158 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6158, expected_value: E12000005, label: geography} + - {column: D, row: 6158, expected_value: Males, label: sex} + - {column: E, row: 6158, expected_value: Employee, label: employment type} + - {column: J, row: 6158, expected_value: Value, label: measure} + - {column: L, row: 6159, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6160 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6160, expected_value: E12000005, label: geography} + - {column: D, row: 6160, expected_value: Males, label: sex} + - {column: E, row: 6160, expected_value: Employee, label: employment type} + - {column: J, row: 6160, expected_value: Value, label: measure} + - {column: L, row: 6161, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6162 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6162, expected_value: E12000005, label: geography} + - {column: D, row: 6162, expected_value: Males, label: sex} + - {column: E, row: 6162, expected_value: Employee, label: employment type} + - {column: J, row: 6162, expected_value: Value, label: measure} + - {column: L, row: 6163, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6164 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6164, expected_value: E12000005, label: geography} + - {column: D, row: 6164, expected_value: Males, label: sex} + - {column: E, row: 6164, expected_value: Employee, label: employment type} + - {column: J, row: 6164, expected_value: Value, label: measure} + - {column: L, row: 6165, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6166 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6166, expected_value: E12000005, label: geography} + - {column: D, row: 6166, expected_value: Males, label: sex} + - {column: E, row: 6166, expected_value: Employee, label: employment type} + - {column: J, row: 6166, expected_value: Value, label: measure} + - {column: L, row: 6167, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6168 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6168, expected_value: E12000005, label: geography} + - {column: D, row: 6168, expected_value: Males, label: sex} + - {column: E, row: 6168, expected_value: Employee, label: employment type} + - {column: J, row: 6168, expected_value: Value, label: measure} + - {column: L, row: 6169, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6170 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6170, expected_value: E12000005, label: geography} + - {column: D, row: 6170, expected_value: Males, label: sex} + - {column: E, row: 6170, expected_value: Employee, label: employment type} + - {column: J, row: 6170, expected_value: Value, label: measure} + - {column: L, row: 6171, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6172 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6172, expected_value: E12000005, label: geography} + - {column: D, row: 6172, expected_value: Males, label: sex} + - {column: E, row: 6172, expected_value: Employee, label: employment type} + - {column: J, row: 6172, expected_value: Value, label: measure} + - {column: L, row: 6173, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6174 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6174, expected_value: E12000005, label: geography} + - {column: D, row: 6174, expected_value: Males, label: sex} + - {column: E, row: 6174, expected_value: Employee, label: employment type} + - {column: J, row: 6174, expected_value: Value, label: measure} + - {column: L, row: 6175, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6176 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6176, expected_value: E12000005, label: geography} + - {column: D, row: 6176, expected_value: Males, label: sex} + - {column: E, row: 6176, expected_value: Employee, label: employment type} + - {column: J, row: 6176, expected_value: Value, label: measure} + - {column: L, row: 6177, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6178 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6178, expected_value: E12000005, label: geography} + - {column: D, row: 6178, expected_value: Males, label: sex} + - {column: E, row: 6178, expected_value: Employee, label: employment type} + - {column: J, row: 6178, expected_value: Value, label: measure} + - {column: L, row: 6179, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6180 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6180, expected_value: E12000005, label: geography} + - {column: D, row: 6180, expected_value: Males, label: sex} + - {column: E, row: 6180, expected_value: Employee, label: employment type} + - {column: J, row: 6180, expected_value: Value, label: measure} + - {column: L, row: 6181, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6182 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6182, expected_value: E12000005, label: geography} + - {column: D, row: 6182, expected_value: Males, label: sex} + - {column: E, row: 6182, expected_value: Employee, label: employment type} + - {column: J, row: 6182, expected_value: Value, label: measure} + - {column: L, row: 6183, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6184 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6184, expected_value: E12000005, label: geography} + - {column: D, row: 6184, expected_value: Males, label: sex} + - {column: E, row: 6184, expected_value: Employee, label: employment type} + - {column: J, row: 6184, expected_value: Value, label: measure} + - {column: L, row: 6185, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6186 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6186, expected_value: E12000005, label: geography} + - {column: D, row: 6186, expected_value: Males, label: sex} + - {column: E, row: 6186, expected_value: Employee, label: employment type} + - {column: J, row: 6186, expected_value: Value, label: measure} + - {column: L, row: 6187, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6188 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6188, expected_value: E12000005, label: geography} + - {column: D, row: 6188, expected_value: Males, label: sex} + - {column: E, row: 6188, expected_value: Employee, label: employment type} + - {column: J, row: 6188, expected_value: Value, label: measure} + - {column: L, row: 6189, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6190 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6190, expected_value: E12000005, label: geography} + - {column: D, row: 6190, expected_value: Males, label: sex} + - {column: E, row: 6190, expected_value: Employee, label: employment type} + - {column: J, row: 6190, expected_value: Value, label: measure} + - {column: L, row: 6191, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6192 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6192, expected_value: E12000005, label: geography} + - {column: D, row: 6192, expected_value: Males, label: sex} + - {column: E, row: 6192, expected_value: Employee, label: employment type} + - {column: J, row: 6192, expected_value: Value, label: measure} + - {column: L, row: 6193, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6123 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6123, expected_value: E12000005, label: geography} + - {column: D, row: 6123, expected_value: Males, label: sex} + - {column: E, row: 6123, expected_value: Employee, label: employment type} + - {column: J, row: 6123, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6125 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6125, expected_value: E12000005, label: geography} + - {column: D, row: 6125, expected_value: Males, label: sex} + - {column: E, row: 6125, expected_value: Employee, label: employment type} + - {column: J, row: 6125, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6127 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6127, expected_value: E12000005, label: geography} + - {column: D, row: 6127, expected_value: Males, label: sex} + - {column: E, row: 6127, expected_value: Employee, label: employment type} + - {column: J, row: 6127, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6129 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6129, expected_value: E12000005, label: geography} + - {column: D, row: 6129, expected_value: Males, label: sex} + - {column: E, row: 6129, expected_value: Employee, label: employment type} + - {column: J, row: 6129, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6131 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6131, expected_value: E12000005, label: geography} + - {column: D, row: 6131, expected_value: Males, label: sex} + - {column: E, row: 6131, expected_value: Employee, label: employment type} + - {column: J, row: 6131, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6133 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6133, expected_value: E12000005, label: geography} + - {column: D, row: 6133, expected_value: Males, label: sex} + - {column: E, row: 6133, expected_value: Employee, label: employment type} + - {column: J, row: 6133, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6135 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6135, expected_value: E12000005, label: geography} + - {column: D, row: 6135, expected_value: Males, label: sex} + - {column: E, row: 6135, expected_value: Employee, label: employment type} + - {column: J, row: 6135, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6137 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6137, expected_value: E12000005, label: geography} + - {column: D, row: 6137, expected_value: Males, label: sex} + - {column: E, row: 6137, expected_value: Employee, label: employment type} + - {column: J, row: 6137, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6139 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6139, expected_value: E12000005, label: geography} + - {column: D, row: 6139, expected_value: Males, label: sex} + - {column: E, row: 6139, expected_value: Employee, label: employment type} + - {column: J, row: 6139, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6141 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6141, expected_value: E12000005, label: geography} + - {column: D, row: 6141, expected_value: Males, label: sex} + - {column: E, row: 6141, expected_value: Employee, label: employment type} + - {column: J, row: 6141, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6143 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6143, expected_value: E12000005, label: geography} + - {column: D, row: 6143, expected_value: Males, label: sex} + - {column: E, row: 6143, expected_value: Employee, label: employment type} + - {column: J, row: 6143, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6145 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6145, expected_value: E12000005, label: geography} + - {column: D, row: 6145, expected_value: Males, label: sex} + - {column: E, row: 6145, expected_value: Employee, label: employment type} + - {column: J, row: 6145, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6147 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6147, expected_value: E12000005, label: geography} + - {column: D, row: 6147, expected_value: Males, label: sex} + - {column: E, row: 6147, expected_value: Employee, label: employment type} + - {column: J, row: 6147, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6149 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6149, expected_value: E12000005, label: geography} + - {column: D, row: 6149, expected_value: Males, label: sex} + - {column: E, row: 6149, expected_value: Employee, label: employment type} + - {column: J, row: 6149, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6151 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6151, expected_value: E12000005, label: geography} + - {column: D, row: 6151, expected_value: Males, label: sex} + - {column: E, row: 6151, expected_value: Employee, label: employment type} + - {column: J, row: 6151, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6153 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6153, expected_value: E12000005, label: geography} + - {column: D, row: 6153, expected_value: Males, label: sex} + - {column: E, row: 6153, expected_value: Employee, label: employment type} + - {column: J, row: 6153, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6155 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6155, expected_value: E12000005, label: geography} + - {column: D, row: 6155, expected_value: Males, label: sex} + - {column: E, row: 6155, expected_value: Employee, label: employment type} + - {column: J, row: 6155, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6159 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6159, expected_value: E12000005, label: geography} + - {column: D, row: 6159, expected_value: Males, label: sex} + - {column: E, row: 6159, expected_value: Employee, label: employment type} + - {column: J, row: 6159, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6161 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6161, expected_value: E12000005, label: geography} + - {column: D, row: 6161, expected_value: Males, label: sex} + - {column: E, row: 6161, expected_value: Employee, label: employment type} + - {column: J, row: 6161, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6163 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6163, expected_value: E12000005, label: geography} + - {column: D, row: 6163, expected_value: Males, label: sex} + - {column: E, row: 6163, expected_value: Employee, label: employment type} + - {column: J, row: 6163, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6165 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6165, expected_value: E12000005, label: geography} + - {column: D, row: 6165, expected_value: Males, label: sex} + - {column: E, row: 6165, expected_value: Employee, label: employment type} + - {column: J, row: 6165, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6167 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6167, expected_value: E12000005, label: geography} + - {column: D, row: 6167, expected_value: Males, label: sex} + - {column: E, row: 6167, expected_value: Employee, label: employment type} + - {column: J, row: 6167, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6169 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6169, expected_value: E12000005, label: geography} + - {column: D, row: 6169, expected_value: Males, label: sex} + - {column: E, row: 6169, expected_value: Employee, label: employment type} + - {column: J, row: 6169, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6171 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6171, expected_value: E12000005, label: geography} + - {column: D, row: 6171, expected_value: Males, label: sex} + - {column: E, row: 6171, expected_value: Employee, label: employment type} + - {column: J, row: 6171, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6173 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6173, expected_value: E12000005, label: geography} + - {column: D, row: 6173, expected_value: Males, label: sex} + - {column: E, row: 6173, expected_value: Employee, label: employment type} + - {column: J, row: 6173, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6177 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6177, expected_value: E12000005, label: geography} + - {column: D, row: 6177, expected_value: Males, label: sex} + - {column: E, row: 6177, expected_value: Employee, label: employment type} + - {column: J, row: 6177, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6179 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6179, expected_value: E12000005, label: geography} + - {column: D, row: 6179, expected_value: Males, label: sex} + - {column: E, row: 6179, expected_value: Employee, label: employment type} + - {column: J, row: 6179, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6181 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6181, expected_value: E12000005, label: geography} + - {column: D, row: 6181, expected_value: Males, label: sex} + - {column: E, row: 6181, expected_value: Employee, label: employment type} + - {column: J, row: 6181, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6183 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6183, expected_value: E12000005, label: geography} + - {column: D, row: 6183, expected_value: Males, label: sex} + - {column: E, row: 6183, expected_value: Employee, label: employment type} + - {column: J, row: 6183, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6185 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6185, expected_value: E12000005, label: geography} + - {column: D, row: 6185, expected_value: Males, label: sex} + - {column: E, row: 6185, expected_value: Employee, label: employment type} + - {column: J, row: 6185, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6187 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6187, expected_value: E12000005, label: geography} + - {column: D, row: 6187, expected_value: Males, label: sex} + - {column: E, row: 6187, expected_value: Employee, label: employment type} + - {column: J, row: 6187, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6189 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6189, expected_value: E12000005, label: geography} + - {column: D, row: 6189, expected_value: Males, label: sex} + - {column: E, row: 6189, expected_value: Employee, label: employment type} + - {column: J, row: 6189, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6191 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6191, expected_value: E12000005, label: geography} + - {column: D, row: 6191, expected_value: Males, label: sex} + - {column: E, row: 6191, expected_value: Employee, label: employment type} + - {column: J, row: 6191, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6193 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6193, expected_value: E12000005, label: geography} + - {column: D, row: 6193, expected_value: Males, label: sex} + - {column: E, row: 6193, expected_value: Employee, label: employment type} + - {column: J, row: 6193, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6338 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6338, expected_value: E12000005, label: geography} + - {column: D, row: 6338, expected_value: Males, label: sex} + - {column: E, row: 6338, expected_value: Self-employed, label: employment type} + - {column: J, row: 6338, expected_value: Value, label: measure} + - {column: L, row: 6339, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6340 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6340, expected_value: E12000005, label: geography} + - {column: D, row: 6340, expected_value: Males, label: sex} + - {column: E, row: 6340, expected_value: Self-employed, label: employment type} + - {column: J, row: 6340, expected_value: Value, label: measure} + - {column: L, row: 6341, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6342 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6342, expected_value: E12000005, label: geography} + - {column: D, row: 6342, expected_value: Males, label: sex} + - {column: E, row: 6342, expected_value: Self-employed, label: employment type} + - {column: J, row: 6342, expected_value: Value, label: measure} + - {column: L, row: 6343, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6344 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6344, expected_value: E12000005, label: geography} + - {column: D, row: 6344, expected_value: Males, label: sex} + - {column: E, row: 6344, expected_value: Self-employed, label: employment type} + - {column: J, row: 6344, expected_value: Value, label: measure} + - {column: L, row: 6345, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6346 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6346, expected_value: E12000005, label: geography} + - {column: D, row: 6346, expected_value: Males, label: sex} + - {column: E, row: 6346, expected_value: Self-employed, label: employment type} + - {column: J, row: 6346, expected_value: Value, label: measure} + - {column: L, row: 6347, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6348 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6348, expected_value: E12000005, label: geography} + - {column: D, row: 6348, expected_value: Males, label: sex} + - {column: E, row: 6348, expected_value: Self-employed, label: employment type} + - {column: J, row: 6348, expected_value: Value, label: measure} + - {column: L, row: 6349, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6350 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6350, expected_value: E12000005, label: geography} + - {column: D, row: 6350, expected_value: Males, label: sex} + - {column: E, row: 6350, expected_value: Self-employed, label: employment type} + - {column: J, row: 6350, expected_value: Value, label: measure} + - {column: L, row: 6351, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6352 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6352, expected_value: E12000005, label: geography} + - {column: D, row: 6352, expected_value: Males, label: sex} + - {column: E, row: 6352, expected_value: Self-employed, label: employment type} + - {column: J, row: 6352, expected_value: Value, label: measure} + - {column: L, row: 6353, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6354 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6354, expected_value: E12000005, label: geography} + - {column: D, row: 6354, expected_value: Males, label: sex} + - {column: E, row: 6354, expected_value: Self-employed, label: employment type} + - {column: J, row: 6354, expected_value: Value, label: measure} + - {column: L, row: 6355, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6356 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6356, expected_value: E12000005, label: geography} + - {column: D, row: 6356, expected_value: Males, label: sex} + - {column: E, row: 6356, expected_value: Self-employed, label: employment type} + - {column: J, row: 6356, expected_value: Value, label: measure} + - {column: L, row: 6357, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6358 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6358, expected_value: E12000005, label: geography} + - {column: D, row: 6358, expected_value: Males, label: sex} + - {column: E, row: 6358, expected_value: Self-employed, label: employment type} + - {column: J, row: 6358, expected_value: Value, label: measure} + - {column: L, row: 6359, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6360 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6360, expected_value: E12000005, label: geography} + - {column: D, row: 6360, expected_value: Males, label: sex} + - {column: E, row: 6360, expected_value: Self-employed, label: employment type} + - {column: J, row: 6360, expected_value: Value, label: measure} + - {column: L, row: 6361, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6362 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6362, expected_value: E12000005, label: geography} + - {column: D, row: 6362, expected_value: Males, label: sex} + - {column: E, row: 6362, expected_value: Self-employed, label: employment type} + - {column: J, row: 6362, expected_value: Value, label: measure} + - {column: L, row: 6363, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6364 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6364, expected_value: E12000005, label: geography} + - {column: D, row: 6364, expected_value: Males, label: sex} + - {column: E, row: 6364, expected_value: Self-employed, label: employment type} + - {column: J, row: 6364, expected_value: Value, label: measure} + - {column: L, row: 6365, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6366 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6366, expected_value: E12000005, label: geography} + - {column: D, row: 6366, expected_value: Males, label: sex} + - {column: E, row: 6366, expected_value: Self-employed, label: employment type} + - {column: J, row: 6366, expected_value: Value, label: measure} + - {column: L, row: 6367, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6368 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6368, expected_value: E12000005, label: geography} + - {column: D, row: 6368, expected_value: Males, label: sex} + - {column: E, row: 6368, expected_value: Self-employed, label: employment type} + - {column: J, row: 6368, expected_value: Value, label: measure} + - {column: L, row: 6369, expected_value: F, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6370 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6370, expected_value: E12000005, label: geography} + - {column: D, row: 6370, expected_value: Males, label: sex} + - {column: E, row: 6370, expected_value: Self-employed, label: employment type} + - {column: J, row: 6370, expected_value: Value, label: measure} + - {column: L, row: 6371, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6374 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6374, expected_value: E12000005, label: geography} + - {column: D, row: 6374, expected_value: Males, label: sex} + - {column: E, row: 6374, expected_value: Self-employed, label: employment type} + - {column: J, row: 6374, expected_value: Value, label: measure} + - {column: L, row: 6375, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6376 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6376, expected_value: E12000005, label: geography} + - {column: D, row: 6376, expected_value: Males, label: sex} + - {column: E, row: 6376, expected_value: Self-employed, label: employment type} + - {column: J, row: 6376, expected_value: Value, label: measure} + - {column: L, row: 6377, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6378 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6378, expected_value: E12000005, label: geography} + - {column: D, row: 6378, expected_value: Males, label: sex} + - {column: E, row: 6378, expected_value: Self-employed, label: employment type} + - {column: J, row: 6378, expected_value: Value, label: measure} + - {column: L, row: 6379, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6380 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6380, expected_value: E12000005, label: geography} + - {column: D, row: 6380, expected_value: Males, label: sex} + - {column: E, row: 6380, expected_value: Self-employed, label: employment type} + - {column: J, row: 6380, expected_value: Value, label: measure} + - {column: L, row: 6381, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6382 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6382, expected_value: E12000005, label: geography} + - {column: D, row: 6382, expected_value: Males, label: sex} + - {column: E, row: 6382, expected_value: Self-employed, label: employment type} + - {column: J, row: 6382, expected_value: Value, label: measure} + - {column: L, row: 6383, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6384 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6384, expected_value: E12000005, label: geography} + - {column: D, row: 6384, expected_value: Males, label: sex} + - {column: E, row: 6384, expected_value: Self-employed, label: employment type} + - {column: J, row: 6384, expected_value: Value, label: measure} + - {column: L, row: 6385, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6386 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6386, expected_value: E12000005, label: geography} + - {column: D, row: 6386, expected_value: Males, label: sex} + - {column: E, row: 6386, expected_value: Self-employed, label: employment type} + - {column: J, row: 6386, expected_value: Value, label: measure} + - {column: L, row: 6387, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6388 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6388, expected_value: E12000005, label: geography} + - {column: D, row: 6388, expected_value: Males, label: sex} + - {column: E, row: 6388, expected_value: Self-employed, label: employment type} + - {column: J, row: 6388, expected_value: Value, label: measure} + - {column: L, row: 6389, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6392 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6392, expected_value: E12000005, label: geography} + - {column: D, row: 6392, expected_value: Males, label: sex} + - {column: E, row: 6392, expected_value: Self-employed, label: employment type} + - {column: J, row: 6392, expected_value: Value, label: measure} + - {column: L, row: 6393, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6394 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6394, expected_value: E12000005, label: geography} + - {column: D, row: 6394, expected_value: Males, label: sex} + - {column: E, row: 6394, expected_value: Self-employed, label: employment type} + - {column: J, row: 6394, expected_value: Value, label: measure} + - {column: L, row: 6395, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6398 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6398, expected_value: E12000005, label: geography} + - {column: D, row: 6398, expected_value: Males, label: sex} + - {column: E, row: 6398, expected_value: Self-employed, label: employment type} + - {column: J, row: 6398, expected_value: Value, label: measure} + - {column: L, row: 6399, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6400 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6400, expected_value: E12000005, label: geography} + - {column: D, row: 6400, expected_value: Males, label: sex} + - {column: E, row: 6400, expected_value: Self-employed, label: employment type} + - {column: J, row: 6400, expected_value: Value, label: measure} + - {column: L, row: 6401, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6402 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6402, expected_value: E12000005, label: geography} + - {column: D, row: 6402, expected_value: Males, label: sex} + - {column: E, row: 6402, expected_value: Self-employed, label: employment type} + - {column: J, row: 6402, expected_value: Value, label: measure} + - {column: L, row: 6403, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6404 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6404, expected_value: E12000005, label: geography} + - {column: D, row: 6404, expected_value: Males, label: sex} + - {column: E, row: 6404, expected_value: Self-employed, label: employment type} + - {column: J, row: 6404, expected_value: Value, label: measure} + - {column: L, row: 6405, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6406 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6406, expected_value: E12000005, label: geography} + - {column: D, row: 6406, expected_value: Males, label: sex} + - {column: E, row: 6406, expected_value: Self-employed, label: employment type} + - {column: J, row: 6406, expected_value: Value, label: measure} + - {column: L, row: 6407, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6408 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6408, expected_value: E12000005, label: geography} + - {column: D, row: 6408, expected_value: Males, label: sex} + - {column: E, row: 6408, expected_value: Self-employed, label: employment type} + - {column: J, row: 6408, expected_value: Value, label: measure} + - {column: L, row: 6409, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6339 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6339, expected_value: E12000005, label: geography} + - {column: D, row: 6339, expected_value: Males, label: sex} + - {column: E, row: 6339, expected_value: Self-employed, label: employment type} + - {column: J, row: 6339, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6341 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6341, expected_value: E12000005, label: geography} + - {column: D, row: 6341, expected_value: Males, label: sex} + - {column: E, row: 6341, expected_value: Self-employed, label: employment type} + - {column: J, row: 6341, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6343 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6343, expected_value: E12000005, label: geography} + - {column: D, row: 6343, expected_value: Males, label: sex} + - {column: E, row: 6343, expected_value: Self-employed, label: employment type} + - {column: J, row: 6343, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6345 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6345, expected_value: E12000005, label: geography} + - {column: D, row: 6345, expected_value: Males, label: sex} + - {column: E, row: 6345, expected_value: Self-employed, label: employment type} + - {column: J, row: 6345, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6347 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6347, expected_value: E12000005, label: geography} + - {column: D, row: 6347, expected_value: Males, label: sex} + - {column: E, row: 6347, expected_value: Self-employed, label: employment type} + - {column: J, row: 6347, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6349 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6349, expected_value: E12000005, label: geography} + - {column: D, row: 6349, expected_value: Males, label: sex} + - {column: E, row: 6349, expected_value: Self-employed, label: employment type} + - {column: J, row: 6349, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6351 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6351, expected_value: E12000005, label: geography} + - {column: D, row: 6351, expected_value: Males, label: sex} + - {column: E, row: 6351, expected_value: Self-employed, label: employment type} + - {column: J, row: 6351, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6355 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6355, expected_value: E12000005, label: geography} + - {column: D, row: 6355, expected_value: Males, label: sex} + - {column: E, row: 6355, expected_value: Self-employed, label: employment type} + - {column: J, row: 6355, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6357 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6357, expected_value: E12000005, label: geography} + - {column: D, row: 6357, expected_value: Males, label: sex} + - {column: E, row: 6357, expected_value: Self-employed, label: employment type} + - {column: J, row: 6357, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6365 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6365, expected_value: E12000005, label: geography} + - {column: D, row: 6365, expected_value: Males, label: sex} + - {column: E, row: 6365, expected_value: Self-employed, label: employment type} + - {column: J, row: 6365, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6367 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6367, expected_value: E12000005, label: geography} + - {column: D, row: 6367, expected_value: Males, label: sex} + - {column: E, row: 6367, expected_value: Self-employed, label: employment type} + - {column: J, row: 6367, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6375 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6375, expected_value: E12000005, label: geography} + - {column: D, row: 6375, expected_value: Males, label: sex} + - {column: E, row: 6375, expected_value: Self-employed, label: employment type} + - {column: J, row: 6375, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6377 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6377, expected_value: E12000005, label: geography} + - {column: D, row: 6377, expected_value: Males, label: sex} + - {column: E, row: 6377, expected_value: Self-employed, label: employment type} + - {column: J, row: 6377, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6379 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6379, expected_value: E12000005, label: geography} + - {column: D, row: 6379, expected_value: Males, label: sex} + - {column: E, row: 6379, expected_value: Self-employed, label: employment type} + - {column: J, row: 6379, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6381 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6381, expected_value: E12000005, label: geography} + - {column: D, row: 6381, expected_value: Males, label: sex} + - {column: E, row: 6381, expected_value: Self-employed, label: employment type} + - {column: J, row: 6381, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6393 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6393, expected_value: E12000005, label: geography} + - {column: D, row: 6393, expected_value: Males, label: sex} + - {column: E, row: 6393, expected_value: Self-employed, label: employment type} + - {column: J, row: 6393, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6395 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6395, expected_value: E12000005, label: geography} + - {column: D, row: 6395, expected_value: Males, label: sex} + - {column: E, row: 6395, expected_value: Self-employed, label: employment type} + - {column: J, row: 6395, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6399 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6399, expected_value: E12000005, label: geography} + - {column: D, row: 6399, expected_value: Males, label: sex} + - {column: E, row: 6399, expected_value: Self-employed, label: employment type} + - {column: J, row: 6399, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6401 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6401, expected_value: E12000005, label: geography} + - {column: D, row: 6401, expected_value: Males, label: sex} + - {column: E, row: 6401, expected_value: Self-employed, label: employment type} + - {column: J, row: 6401, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6403 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6403, expected_value: E12000005, label: geography} + - {column: D, row: 6403, expected_value: Males, label: sex} + - {column: E, row: 6403, expected_value: Self-employed, label: employment type} + - {column: J, row: 6403, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6405 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6405, expected_value: E12000005, label: geography} + - {column: D, row: 6405, expected_value: Males, label: sex} + - {column: E, row: 6405, expected_value: Self-employed, label: employment type} + - {column: J, row: 6405, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5978 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5978, expected_value: E12000005, label: geography} + - {column: D, row: 5978, expected_value: Females, label: sex} + - {column: E, row: 5978, expected_value: Total, label: employment type} + - {column: J, row: 5978, expected_value: Value, label: measure} + - {column: L, row: 5979, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5980 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5980, expected_value: E12000005, label: geography} + - {column: D, row: 5980, expected_value: Females, label: sex} + - {column: E, row: 5980, expected_value: Total, label: employment type} + - {column: J, row: 5980, expected_value: Value, label: measure} + - {column: L, row: 5981, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5982 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5982, expected_value: E12000005, label: geography} + - {column: D, row: 5982, expected_value: Females, label: sex} + - {column: E, row: 5982, expected_value: Total, label: employment type} + - {column: J, row: 5982, expected_value: Value, label: measure} + - {column: L, row: 5983, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5984 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5984, expected_value: E12000005, label: geography} + - {column: D, row: 5984, expected_value: Females, label: sex} + - {column: E, row: 5984, expected_value: Total, label: employment type} + - {column: J, row: 5984, expected_value: Value, label: measure} + - {column: L, row: 5985, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5986 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5986, expected_value: E12000005, label: geography} + - {column: D, row: 5986, expected_value: Females, label: sex} + - {column: E, row: 5986, expected_value: Total, label: employment type} + - {column: J, row: 5986, expected_value: Value, label: measure} + - {column: L, row: 5987, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5988 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5988, expected_value: E12000005, label: geography} + - {column: D, row: 5988, expected_value: Females, label: sex} + - {column: E, row: 5988, expected_value: Total, label: employment type} + - {column: J, row: 5988, expected_value: Value, label: measure} + - {column: L, row: 5989, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5990 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5990, expected_value: E12000005, label: geography} + - {column: D, row: 5990, expected_value: Females, label: sex} + - {column: E, row: 5990, expected_value: Total, label: employment type} + - {column: J, row: 5990, expected_value: Value, label: measure} + - {column: L, row: 5991, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5992 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5992, expected_value: E12000005, label: geography} + - {column: D, row: 5992, expected_value: Females, label: sex} + - {column: E, row: 5992, expected_value: Total, label: employment type} + - {column: J, row: 5992, expected_value: Value, label: measure} + - {column: L, row: 5993, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5994 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5994, expected_value: E12000005, label: geography} + - {column: D, row: 5994, expected_value: Females, label: sex} + - {column: E, row: 5994, expected_value: Total, label: employment type} + - {column: J, row: 5994, expected_value: Value, label: measure} + - {column: L, row: 5995, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5996 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5996, expected_value: E12000005, label: geography} + - {column: D, row: 5996, expected_value: Females, label: sex} + - {column: E, row: 5996, expected_value: Total, label: employment type} + - {column: J, row: 5996, expected_value: Value, label: measure} + - {column: L, row: 5997, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5998 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5998, expected_value: E12000005, label: geography} + - {column: D, row: 5998, expected_value: Females, label: sex} + - {column: E, row: 5998, expected_value: Total, label: employment type} + - {column: J, row: 5998, expected_value: Value, label: measure} + - {column: L, row: 5999, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6000 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6000, expected_value: E12000005, label: geography} + - {column: D, row: 6000, expected_value: Females, label: sex} + - {column: E, row: 6000, expected_value: Total, label: employment type} + - {column: J, row: 6000, expected_value: Value, label: measure} + - {column: L, row: 6001, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6002 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6002, expected_value: E12000005, label: geography} + - {column: D, row: 6002, expected_value: Females, label: sex} + - {column: E, row: 6002, expected_value: Total, label: employment type} + - {column: J, row: 6002, expected_value: Value, label: measure} + - {column: L, row: 6003, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6004 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6004, expected_value: E12000005, label: geography} + - {column: D, row: 6004, expected_value: Females, label: sex} + - {column: E, row: 6004, expected_value: Total, label: employment type} + - {column: J, row: 6004, expected_value: Value, label: measure} + - {column: L, row: 6005, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6006 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6006, expected_value: E12000005, label: geography} + - {column: D, row: 6006, expected_value: Females, label: sex} + - {column: E, row: 6006, expected_value: Total, label: employment type} + - {column: J, row: 6006, expected_value: Value, label: measure} + - {column: L, row: 6007, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6008 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6008, expected_value: E12000005, label: geography} + - {column: D, row: 6008, expected_value: Females, label: sex} + - {column: E, row: 6008, expected_value: Total, label: employment type} + - {column: J, row: 6008, expected_value: Value, label: measure} + - {column: L, row: 6009, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6010 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6010, expected_value: E12000005, label: geography} + - {column: D, row: 6010, expected_value: Females, label: sex} + - {column: E, row: 6010, expected_value: Total, label: employment type} + - {column: J, row: 6010, expected_value: Value, label: measure} + - {column: L, row: 6011, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6012 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6012, expected_value: E12000005, label: geography} + - {column: D, row: 6012, expected_value: Females, label: sex} + - {column: E, row: 6012, expected_value: Total, label: employment type} + - {column: J, row: 6012, expected_value: Value, label: measure} + - {column: L, row: 6013, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6014 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6014, expected_value: E12000005, label: geography} + - {column: D, row: 6014, expected_value: Females, label: sex} + - {column: E, row: 6014, expected_value: Total, label: employment type} + - {column: J, row: 6014, expected_value: Value, label: measure} + - {column: L, row: 6015, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6016 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6016, expected_value: E12000005, label: geography} + - {column: D, row: 6016, expected_value: Females, label: sex} + - {column: E, row: 6016, expected_value: Total, label: employment type} + - {column: J, row: 6016, expected_value: Value, label: measure} + - {column: L, row: 6017, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6018 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6018, expected_value: E12000005, label: geography} + - {column: D, row: 6018, expected_value: Females, label: sex} + - {column: E, row: 6018, expected_value: Total, label: employment type} + - {column: J, row: 6018, expected_value: Value, label: measure} + - {column: L, row: 6019, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6020 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6020, expected_value: E12000005, label: geography} + - {column: D, row: 6020, expected_value: Females, label: sex} + - {column: E, row: 6020, expected_value: Total, label: employment type} + - {column: J, row: 6020, expected_value: Value, label: measure} + - {column: L, row: 6021, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6022 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6022, expected_value: E12000005, label: geography} + - {column: D, row: 6022, expected_value: Females, label: sex} + - {column: E, row: 6022, expected_value: Total, label: employment type} + - {column: J, row: 6022, expected_value: Value, label: measure} + - {column: L, row: 6023, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6024 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6024, expected_value: E12000005, label: geography} + - {column: D, row: 6024, expected_value: Females, label: sex} + - {column: E, row: 6024, expected_value: Total, label: employment type} + - {column: J, row: 6024, expected_value: Value, label: measure} + - {column: L, row: 6025, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6026 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6026, expected_value: E12000005, label: geography} + - {column: D, row: 6026, expected_value: Females, label: sex} + - {column: E, row: 6026, expected_value: Total, label: employment type} + - {column: J, row: 6026, expected_value: Value, label: measure} + - {column: L, row: 6027, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6028 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6028, expected_value: E12000005, label: geography} + - {column: D, row: 6028, expected_value: Females, label: sex} + - {column: E, row: 6028, expected_value: Total, label: employment type} + - {column: J, row: 6028, expected_value: Value, label: measure} + - {column: L, row: 6029, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6030 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6030, expected_value: E12000005, label: geography} + - {column: D, row: 6030, expected_value: Females, label: sex} + - {column: E, row: 6030, expected_value: Total, label: employment type} + - {column: J, row: 6030, expected_value: Value, label: measure} + - {column: L, row: 6031, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6032 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6032, expected_value: E12000005, label: geography} + - {column: D, row: 6032, expected_value: Females, label: sex} + - {column: E, row: 6032, expected_value: Total, label: employment type} + - {column: J, row: 6032, expected_value: Value, label: measure} + - {column: L, row: 6033, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6034 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6034, expected_value: E12000005, label: geography} + - {column: D, row: 6034, expected_value: Females, label: sex} + - {column: E, row: 6034, expected_value: Total, label: employment type} + - {column: J, row: 6034, expected_value: Value, label: measure} + - {column: L, row: 6035, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6036 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6036, expected_value: E12000005, label: geography} + - {column: D, row: 6036, expected_value: Females, label: sex} + - {column: E, row: 6036, expected_value: Total, label: employment type} + - {column: J, row: 6036, expected_value: Value, label: measure} + - {column: L, row: 6037, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6038 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6038, expected_value: E12000005, label: geography} + - {column: D, row: 6038, expected_value: Females, label: sex} + - {column: E, row: 6038, expected_value: Total, label: employment type} + - {column: J, row: 6038, expected_value: Value, label: measure} + - {column: L, row: 6039, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6040 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6040, expected_value: E12000005, label: geography} + - {column: D, row: 6040, expected_value: Females, label: sex} + - {column: E, row: 6040, expected_value: Total, label: employment type} + - {column: J, row: 6040, expected_value: Value, label: measure} + - {column: L, row: 6041, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6042 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6042, expected_value: E12000005, label: geography} + - {column: D, row: 6042, expected_value: Females, label: sex} + - {column: E, row: 6042, expected_value: Total, label: employment type} + - {column: J, row: 6042, expected_value: Value, label: measure} + - {column: L, row: 6043, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6044 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6044, expected_value: E12000005, label: geography} + - {column: D, row: 6044, expected_value: Females, label: sex} + - {column: E, row: 6044, expected_value: Total, label: employment type} + - {column: J, row: 6044, expected_value: Value, label: measure} + - {column: L, row: 6045, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6046 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6046, expected_value: E12000005, label: geography} + - {column: D, row: 6046, expected_value: Females, label: sex} + - {column: E, row: 6046, expected_value: Total, label: employment type} + - {column: J, row: 6046, expected_value: Value, label: measure} + - {column: L, row: 6047, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6048 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6048, expected_value: E12000005, label: geography} + - {column: D, row: 6048, expected_value: Females, label: sex} + - {column: E, row: 6048, expected_value: Total, label: employment type} + - {column: J, row: 6048, expected_value: Value, label: measure} + - {column: L, row: 6049, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5979 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5979, expected_value: E12000005, label: geography} + - {column: D, row: 5979, expected_value: Females, label: sex} + - {column: E, row: 5979, expected_value: Total, label: employment type} + - {column: J, row: 5979, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5981 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5981, expected_value: E12000005, label: geography} + - {column: D, row: 5981, expected_value: Females, label: sex} + - {column: E, row: 5981, expected_value: Total, label: employment type} + - {column: J, row: 5981, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5983 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5983, expected_value: E12000005, label: geography} + - {column: D, row: 5983, expected_value: Females, label: sex} + - {column: E, row: 5983, expected_value: Total, label: employment type} + - {column: J, row: 5983, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5985 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5985, expected_value: E12000005, label: geography} + - {column: D, row: 5985, expected_value: Females, label: sex} + - {column: E, row: 5985, expected_value: Total, label: employment type} + - {column: J, row: 5985, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5987 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5987, expected_value: E12000005, label: geography} + - {column: D, row: 5987, expected_value: Females, label: sex} + - {column: E, row: 5987, expected_value: Total, label: employment type} + - {column: J, row: 5987, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5989 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5989, expected_value: E12000005, label: geography} + - {column: D, row: 5989, expected_value: Females, label: sex} + - {column: E, row: 5989, expected_value: Total, label: employment type} + - {column: J, row: 5989, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5991 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5991, expected_value: E12000005, label: geography} + - {column: D, row: 5991, expected_value: Females, label: sex} + - {column: E, row: 5991, expected_value: Total, label: employment type} + - {column: J, row: 5991, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5993 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5993, expected_value: E12000005, label: geography} + - {column: D, row: 5993, expected_value: Females, label: sex} + - {column: E, row: 5993, expected_value: Total, label: employment type} + - {column: J, row: 5993, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5995 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5995, expected_value: E12000005, label: geography} + - {column: D, row: 5995, expected_value: Females, label: sex} + - {column: E, row: 5995, expected_value: Total, label: employment type} + - {column: J, row: 5995, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5997 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5997, expected_value: E12000005, label: geography} + - {column: D, row: 5997, expected_value: Females, label: sex} + - {column: E, row: 5997, expected_value: Total, label: employment type} + - {column: J, row: 5997, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5999 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5999, expected_value: E12000005, label: geography} + - {column: D, row: 5999, expected_value: Females, label: sex} + - {column: E, row: 5999, expected_value: Total, label: employment type} + - {column: J, row: 5999, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6001 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6001, expected_value: E12000005, label: geography} + - {column: D, row: 6001, expected_value: Females, label: sex} + - {column: E, row: 6001, expected_value: Total, label: employment type} + - {column: J, row: 6001, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6003 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6003, expected_value: E12000005, label: geography} + - {column: D, row: 6003, expected_value: Females, label: sex} + - {column: E, row: 6003, expected_value: Total, label: employment type} + - {column: J, row: 6003, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6005 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6005, expected_value: E12000005, label: geography} + - {column: D, row: 6005, expected_value: Females, label: sex} + - {column: E, row: 6005, expected_value: Total, label: employment type} + - {column: J, row: 6005, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6007 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6007, expected_value: E12000005, label: geography} + - {column: D, row: 6007, expected_value: Females, label: sex} + - {column: E, row: 6007, expected_value: Total, label: employment type} + - {column: J, row: 6007, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6009 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6009, expected_value: E12000005, label: geography} + - {column: D, row: 6009, expected_value: Females, label: sex} + - {column: E, row: 6009, expected_value: Total, label: employment type} + - {column: J, row: 6009, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6011 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6011, expected_value: E12000005, label: geography} + - {column: D, row: 6011, expected_value: Females, label: sex} + - {column: E, row: 6011, expected_value: Total, label: employment type} + - {column: J, row: 6011, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6013 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6013, expected_value: E12000005, label: geography} + - {column: D, row: 6013, expected_value: Females, label: sex} + - {column: E, row: 6013, expected_value: Total, label: employment type} + - {column: J, row: 6013, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6015 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6015, expected_value: E12000005, label: geography} + - {column: D, row: 6015, expected_value: Females, label: sex} + - {column: E, row: 6015, expected_value: Total, label: employment type} + - {column: J, row: 6015, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6017 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6017, expected_value: E12000005, label: geography} + - {column: D, row: 6017, expected_value: Females, label: sex} + - {column: E, row: 6017, expected_value: Total, label: employment type} + - {column: J, row: 6017, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6023 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6023, expected_value: E12000005, label: geography} + - {column: D, row: 6023, expected_value: Females, label: sex} + - {column: E, row: 6023, expected_value: Total, label: employment type} + - {column: J, row: 6023, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6025 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6025, expected_value: E12000005, label: geography} + - {column: D, row: 6025, expected_value: Females, label: sex} + - {column: E, row: 6025, expected_value: Total, label: employment type} + - {column: J, row: 6025, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6027 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6027, expected_value: E12000005, label: geography} + - {column: D, row: 6027, expected_value: Females, label: sex} + - {column: E, row: 6027, expected_value: Total, label: employment type} + - {column: J, row: 6027, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6029 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6029, expected_value: E12000005, label: geography} + - {column: D, row: 6029, expected_value: Females, label: sex} + - {column: E, row: 6029, expected_value: Total, label: employment type} + - {column: J, row: 6029, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6033 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6033, expected_value: E12000005, label: geography} + - {column: D, row: 6033, expected_value: Females, label: sex} + - {column: E, row: 6033, expected_value: Total, label: employment type} + - {column: J, row: 6033, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6035 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6035, expected_value: E12000005, label: geography} + - {column: D, row: 6035, expected_value: Females, label: sex} + - {column: E, row: 6035, expected_value: Total, label: employment type} + - {column: J, row: 6035, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6037 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6037, expected_value: E12000005, label: geography} + - {column: D, row: 6037, expected_value: Females, label: sex} + - {column: E, row: 6037, expected_value: Total, label: employment type} + - {column: J, row: 6037, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6039 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6039, expected_value: E12000005, label: geography} + - {column: D, row: 6039, expected_value: Females, label: sex} + - {column: E, row: 6039, expected_value: Total, label: employment type} + - {column: J, row: 6039, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6041 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6041, expected_value: E12000005, label: geography} + - {column: D, row: 6041, expected_value: Females, label: sex} + - {column: E, row: 6041, expected_value: Total, label: employment type} + - {column: J, row: 6041, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6043 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6043, expected_value: E12000005, label: geography} + - {column: D, row: 6043, expected_value: Females, label: sex} + - {column: E, row: 6043, expected_value: Total, label: employment type} + - {column: J, row: 6043, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6045 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6045, expected_value: E12000005, label: geography} + - {column: D, row: 6045, expected_value: Females, label: sex} + - {column: E, row: 6045, expected_value: Total, label: employment type} + - {column: J, row: 6045, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6047 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6047, expected_value: E12000005, label: geography} + - {column: D, row: 6047, expected_value: Females, label: sex} + - {column: E, row: 6047, expected_value: Total, label: employment type} + - {column: J, row: 6047, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6049 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6049, expected_value: E12000005, label: geography} + - {column: D, row: 6049, expected_value: Females, label: sex} + - {column: E, row: 6049, expected_value: Total, label: employment type} + - {column: J, row: 6049, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6194 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6194, expected_value: E12000005, label: geography} + - {column: D, row: 6194, expected_value: Females, label: sex} + - {column: E, row: 6194, expected_value: Employee, label: employment type} + - {column: J, row: 6194, expected_value: Value, label: measure} + - {column: L, row: 6195, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6196 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6196, expected_value: E12000005, label: geography} + - {column: D, row: 6196, expected_value: Females, label: sex} + - {column: E, row: 6196, expected_value: Employee, label: employment type} + - {column: J, row: 6196, expected_value: Value, label: measure} + - {column: L, row: 6197, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6198 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6198, expected_value: E12000005, label: geography} + - {column: D, row: 6198, expected_value: Females, label: sex} + - {column: E, row: 6198, expected_value: Employee, label: employment type} + - {column: J, row: 6198, expected_value: Value, label: measure} + - {column: L, row: 6199, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6200 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6200, expected_value: E12000005, label: geography} + - {column: D, row: 6200, expected_value: Females, label: sex} + - {column: E, row: 6200, expected_value: Employee, label: employment type} + - {column: J, row: 6200, expected_value: Value, label: measure} + - {column: L, row: 6201, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6202 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6202, expected_value: E12000005, label: geography} + - {column: D, row: 6202, expected_value: Females, label: sex} + - {column: E, row: 6202, expected_value: Employee, label: employment type} + - {column: J, row: 6202, expected_value: Value, label: measure} + - {column: L, row: 6203, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6204 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6204, expected_value: E12000005, label: geography} + - {column: D, row: 6204, expected_value: Females, label: sex} + - {column: E, row: 6204, expected_value: Employee, label: employment type} + - {column: J, row: 6204, expected_value: Value, label: measure} + - {column: L, row: 6205, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6206 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6206, expected_value: E12000005, label: geography} + - {column: D, row: 6206, expected_value: Females, label: sex} + - {column: E, row: 6206, expected_value: Employee, label: employment type} + - {column: J, row: 6206, expected_value: Value, label: measure} + - {column: L, row: 6207, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6208 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6208, expected_value: E12000005, label: geography} + - {column: D, row: 6208, expected_value: Females, label: sex} + - {column: E, row: 6208, expected_value: Employee, label: employment type} + - {column: J, row: 6208, expected_value: Value, label: measure} + - {column: L, row: 6209, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6210 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6210, expected_value: E12000005, label: geography} + - {column: D, row: 6210, expected_value: Females, label: sex} + - {column: E, row: 6210, expected_value: Employee, label: employment type} + - {column: J, row: 6210, expected_value: Value, label: measure} + - {column: L, row: 6211, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6212 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6212, expected_value: E12000005, label: geography} + - {column: D, row: 6212, expected_value: Females, label: sex} + - {column: E, row: 6212, expected_value: Employee, label: employment type} + - {column: J, row: 6212, expected_value: Value, label: measure} + - {column: L, row: 6213, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6214 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6214, expected_value: E12000005, label: geography} + - {column: D, row: 6214, expected_value: Females, label: sex} + - {column: E, row: 6214, expected_value: Employee, label: employment type} + - {column: J, row: 6214, expected_value: Value, label: measure} + - {column: L, row: 6215, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6216 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6216, expected_value: E12000005, label: geography} + - {column: D, row: 6216, expected_value: Females, label: sex} + - {column: E, row: 6216, expected_value: Employee, label: employment type} + - {column: J, row: 6216, expected_value: Value, label: measure} + - {column: L, row: 6217, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6218 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6218, expected_value: E12000005, label: geography} + - {column: D, row: 6218, expected_value: Females, label: sex} + - {column: E, row: 6218, expected_value: Employee, label: employment type} + - {column: J, row: 6218, expected_value: Value, label: measure} + - {column: L, row: 6219, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6220 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6220, expected_value: E12000005, label: geography} + - {column: D, row: 6220, expected_value: Females, label: sex} + - {column: E, row: 6220, expected_value: Employee, label: employment type} + - {column: J, row: 6220, expected_value: Value, label: measure} + - {column: L, row: 6221, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6222 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6222, expected_value: E12000005, label: geography} + - {column: D, row: 6222, expected_value: Females, label: sex} + - {column: E, row: 6222, expected_value: Employee, label: employment type} + - {column: J, row: 6222, expected_value: Value, label: measure} + - {column: L, row: 6223, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6224 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6224, expected_value: E12000005, label: geography} + - {column: D, row: 6224, expected_value: Females, label: sex} + - {column: E, row: 6224, expected_value: Employee, label: employment type} + - {column: J, row: 6224, expected_value: Value, label: measure} + - {column: L, row: 6225, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6226 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6226, expected_value: E12000005, label: geography} + - {column: D, row: 6226, expected_value: Females, label: sex} + - {column: E, row: 6226, expected_value: Employee, label: employment type} + - {column: J, row: 6226, expected_value: Value, label: measure} + - {column: L, row: 6227, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6228 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6228, expected_value: E12000005, label: geography} + - {column: D, row: 6228, expected_value: Females, label: sex} + - {column: E, row: 6228, expected_value: Employee, label: employment type} + - {column: J, row: 6228, expected_value: Value, label: measure} + - {column: L, row: 6229, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6230 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6230, expected_value: E12000005, label: geography} + - {column: D, row: 6230, expected_value: Females, label: sex} + - {column: E, row: 6230, expected_value: Employee, label: employment type} + - {column: J, row: 6230, expected_value: Value, label: measure} + - {column: L, row: 6231, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6232 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6232, expected_value: E12000005, label: geography} + - {column: D, row: 6232, expected_value: Females, label: sex} + - {column: E, row: 6232, expected_value: Employee, label: employment type} + - {column: J, row: 6232, expected_value: Value, label: measure} + - {column: L, row: 6233, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6234 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6234, expected_value: E12000005, label: geography} + - {column: D, row: 6234, expected_value: Females, label: sex} + - {column: E, row: 6234, expected_value: Employee, label: employment type} + - {column: J, row: 6234, expected_value: Value, label: measure} + - {column: L, row: 6235, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6238 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6238, expected_value: E12000005, label: geography} + - {column: D, row: 6238, expected_value: Females, label: sex} + - {column: E, row: 6238, expected_value: Employee, label: employment type} + - {column: J, row: 6238, expected_value: Value, label: measure} + - {column: L, row: 6239, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6240 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6240, expected_value: E12000005, label: geography} + - {column: D, row: 6240, expected_value: Females, label: sex} + - {column: E, row: 6240, expected_value: Employee, label: employment type} + - {column: J, row: 6240, expected_value: Value, label: measure} + - {column: L, row: 6241, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6242 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6242, expected_value: E12000005, label: geography} + - {column: D, row: 6242, expected_value: Females, label: sex} + - {column: E, row: 6242, expected_value: Employee, label: employment type} + - {column: J, row: 6242, expected_value: Value, label: measure} + - {column: L, row: 6243, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6244 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6244, expected_value: E12000005, label: geography} + - {column: D, row: 6244, expected_value: Females, label: sex} + - {column: E, row: 6244, expected_value: Employee, label: employment type} + - {column: J, row: 6244, expected_value: Value, label: measure} + - {column: L, row: 6245, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6246 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6246, expected_value: E12000005, label: geography} + - {column: D, row: 6246, expected_value: Females, label: sex} + - {column: E, row: 6246, expected_value: Employee, label: employment type} + - {column: J, row: 6246, expected_value: Value, label: measure} + - {column: L, row: 6247, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6248 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6248, expected_value: E12000005, label: geography} + - {column: D, row: 6248, expected_value: Females, label: sex} + - {column: E, row: 6248, expected_value: Employee, label: employment type} + - {column: J, row: 6248, expected_value: Value, label: measure} + - {column: L, row: 6249, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6250 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6250, expected_value: E12000005, label: geography} + - {column: D, row: 6250, expected_value: Females, label: sex} + - {column: E, row: 6250, expected_value: Employee, label: employment type} + - {column: J, row: 6250, expected_value: Value, label: measure} + - {column: L, row: 6251, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6252 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6252, expected_value: E12000005, label: geography} + - {column: D, row: 6252, expected_value: Females, label: sex} + - {column: E, row: 6252, expected_value: Employee, label: employment type} + - {column: J, row: 6252, expected_value: Value, label: measure} + - {column: L, row: 6253, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6254 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6254, expected_value: E12000005, label: geography} + - {column: D, row: 6254, expected_value: Females, label: sex} + - {column: E, row: 6254, expected_value: Employee, label: employment type} + - {column: J, row: 6254, expected_value: Value, label: measure} + - {column: L, row: 6255, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6256 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6256, expected_value: E12000005, label: geography} + - {column: D, row: 6256, expected_value: Females, label: sex} + - {column: E, row: 6256, expected_value: Employee, label: employment type} + - {column: J, row: 6256, expected_value: Value, label: measure} + - {column: L, row: 6257, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6258 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6258, expected_value: E12000005, label: geography} + - {column: D, row: 6258, expected_value: Females, label: sex} + - {column: E, row: 6258, expected_value: Employee, label: employment type} + - {column: J, row: 6258, expected_value: Value, label: measure} + - {column: L, row: 6259, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6260 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6260, expected_value: E12000005, label: geography} + - {column: D, row: 6260, expected_value: Females, label: sex} + - {column: E, row: 6260, expected_value: Employee, label: employment type} + - {column: J, row: 6260, expected_value: Value, label: measure} + - {column: L, row: 6261, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6262 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6262, expected_value: E12000005, label: geography} + - {column: D, row: 6262, expected_value: Females, label: sex} + - {column: E, row: 6262, expected_value: Employee, label: employment type} + - {column: J, row: 6262, expected_value: Value, label: measure} + - {column: L, row: 6263, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6264 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6264, expected_value: E12000005, label: geography} + - {column: D, row: 6264, expected_value: Females, label: sex} + - {column: E, row: 6264, expected_value: Employee, label: employment type} + - {column: J, row: 6264, expected_value: Value, label: measure} + - {column: L, row: 6265, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6195 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6195, expected_value: E12000005, label: geography} + - {column: D, row: 6195, expected_value: Females, label: sex} + - {column: E, row: 6195, expected_value: Employee, label: employment type} + - {column: J, row: 6195, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6197 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6197, expected_value: E12000005, label: geography} + - {column: D, row: 6197, expected_value: Females, label: sex} + - {column: E, row: 6197, expected_value: Employee, label: employment type} + - {column: J, row: 6197, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6199 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6199, expected_value: E12000005, label: geography} + - {column: D, row: 6199, expected_value: Females, label: sex} + - {column: E, row: 6199, expected_value: Employee, label: employment type} + - {column: J, row: 6199, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6201 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6201, expected_value: E12000005, label: geography} + - {column: D, row: 6201, expected_value: Females, label: sex} + - {column: E, row: 6201, expected_value: Employee, label: employment type} + - {column: J, row: 6201, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6203 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6203, expected_value: E12000005, label: geography} + - {column: D, row: 6203, expected_value: Females, label: sex} + - {column: E, row: 6203, expected_value: Employee, label: employment type} + - {column: J, row: 6203, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6205 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6205, expected_value: E12000005, label: geography} + - {column: D, row: 6205, expected_value: Females, label: sex} + - {column: E, row: 6205, expected_value: Employee, label: employment type} + - {column: J, row: 6205, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6207 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6207, expected_value: E12000005, label: geography} + - {column: D, row: 6207, expected_value: Females, label: sex} + - {column: E, row: 6207, expected_value: Employee, label: employment type} + - {column: J, row: 6207, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6209 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6209, expected_value: E12000005, label: geography} + - {column: D, row: 6209, expected_value: Females, label: sex} + - {column: E, row: 6209, expected_value: Employee, label: employment type} + - {column: J, row: 6209, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6211 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6211, expected_value: E12000005, label: geography} + - {column: D, row: 6211, expected_value: Females, label: sex} + - {column: E, row: 6211, expected_value: Employee, label: employment type} + - {column: J, row: 6211, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6213 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6213, expected_value: E12000005, label: geography} + - {column: D, row: 6213, expected_value: Females, label: sex} + - {column: E, row: 6213, expected_value: Employee, label: employment type} + - {column: J, row: 6213, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6215 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6215, expected_value: E12000005, label: geography} + - {column: D, row: 6215, expected_value: Females, label: sex} + - {column: E, row: 6215, expected_value: Employee, label: employment type} + - {column: J, row: 6215, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6217 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6217, expected_value: E12000005, label: geography} + - {column: D, row: 6217, expected_value: Females, label: sex} + - {column: E, row: 6217, expected_value: Employee, label: employment type} + - {column: J, row: 6217, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6219 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6219, expected_value: E12000005, label: geography} + - {column: D, row: 6219, expected_value: Females, label: sex} + - {column: E, row: 6219, expected_value: Employee, label: employment type} + - {column: J, row: 6219, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6221 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6221, expected_value: E12000005, label: geography} + - {column: D, row: 6221, expected_value: Females, label: sex} + - {column: E, row: 6221, expected_value: Employee, label: employment type} + - {column: J, row: 6221, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6223 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6223, expected_value: E12000005, label: geography} + - {column: D, row: 6223, expected_value: Females, label: sex} + - {column: E, row: 6223, expected_value: Employee, label: employment type} + - {column: J, row: 6223, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6225 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6225, expected_value: E12000005, label: geography} + - {column: D, row: 6225, expected_value: Females, label: sex} + - {column: E, row: 6225, expected_value: Employee, label: employment type} + - {column: J, row: 6225, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6227 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6227, expected_value: E12000005, label: geography} + - {column: D, row: 6227, expected_value: Females, label: sex} + - {column: E, row: 6227, expected_value: Employee, label: employment type} + - {column: J, row: 6227, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6229 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6229, expected_value: E12000005, label: geography} + - {column: D, row: 6229, expected_value: Females, label: sex} + - {column: E, row: 6229, expected_value: Employee, label: employment type} + - {column: J, row: 6229, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6231 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6231, expected_value: E12000005, label: geography} + - {column: D, row: 6231, expected_value: Females, label: sex} + - {column: E, row: 6231, expected_value: Employee, label: employment type} + - {column: J, row: 6231, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6239 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6239, expected_value: E12000005, label: geography} + - {column: D, row: 6239, expected_value: Females, label: sex} + - {column: E, row: 6239, expected_value: Employee, label: employment type} + - {column: J, row: 6239, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6241 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6241, expected_value: E12000005, label: geography} + - {column: D, row: 6241, expected_value: Females, label: sex} + - {column: E, row: 6241, expected_value: Employee, label: employment type} + - {column: J, row: 6241, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6243 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6243, expected_value: E12000005, label: geography} + - {column: D, row: 6243, expected_value: Females, label: sex} + - {column: E, row: 6243, expected_value: Employee, label: employment type} + - {column: J, row: 6243, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6245 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6245, expected_value: E12000005, label: geography} + - {column: D, row: 6245, expected_value: Females, label: sex} + - {column: E, row: 6245, expected_value: Employee, label: employment type} + - {column: J, row: 6245, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6249 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6249, expected_value: E12000005, label: geography} + - {column: D, row: 6249, expected_value: Females, label: sex} + - {column: E, row: 6249, expected_value: Employee, label: employment type} + - {column: J, row: 6249, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6251 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6251, expected_value: E12000005, label: geography} + - {column: D, row: 6251, expected_value: Females, label: sex} + - {column: E, row: 6251, expected_value: Employee, label: employment type} + - {column: J, row: 6251, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6253 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6253, expected_value: E12000005, label: geography} + - {column: D, row: 6253, expected_value: Females, label: sex} + - {column: E, row: 6253, expected_value: Employee, label: employment type} + - {column: J, row: 6253, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6255 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6255, expected_value: E12000005, label: geography} + - {column: D, row: 6255, expected_value: Females, label: sex} + - {column: E, row: 6255, expected_value: Employee, label: employment type} + - {column: J, row: 6255, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6257 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6257, expected_value: E12000005, label: geography} + - {column: D, row: 6257, expected_value: Females, label: sex} + - {column: E, row: 6257, expected_value: Employee, label: employment type} + - {column: J, row: 6257, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6261 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6261, expected_value: E12000005, label: geography} + - {column: D, row: 6261, expected_value: Females, label: sex} + - {column: E, row: 6261, expected_value: Employee, label: employment type} + - {column: J, row: 6261, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6263 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6263, expected_value: E12000005, label: geography} + - {column: D, row: 6263, expected_value: Females, label: sex} + - {column: E, row: 6263, expected_value: Employee, label: employment type} + - {column: J, row: 6263, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6265 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6265, expected_value: E12000005, label: geography} + - {column: D, row: 6265, expected_value: Females, label: sex} + - {column: E, row: 6265, expected_value: Employee, label: employment type} + - {column: J, row: 6265, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6410 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6410, expected_value: E12000005, label: geography} + - {column: D, row: 6410, expected_value: Females, label: sex} + - {column: E, row: 6410, expected_value: Self-employed, label: employment type} + - {column: J, row: 6410, expected_value: Value, label: measure} + - {column: L, row: 6411, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6412 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6412, expected_value: E12000005, label: geography} + - {column: D, row: 6412, expected_value: Females, label: sex} + - {column: E, row: 6412, expected_value: Self-employed, label: employment type} + - {column: J, row: 6412, expected_value: Value, label: measure} + - {column: L, row: 6413, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6414 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6414, expected_value: E12000005, label: geography} + - {column: D, row: 6414, expected_value: Females, label: sex} + - {column: E, row: 6414, expected_value: Self-employed, label: employment type} + - {column: J, row: 6414, expected_value: Value, label: measure} + - {column: L, row: 6415, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6416 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6416, expected_value: E12000005, label: geography} + - {column: D, row: 6416, expected_value: Females, label: sex} + - {column: E, row: 6416, expected_value: Self-employed, label: employment type} + - {column: J, row: 6416, expected_value: Value, label: measure} + - {column: L, row: 6417, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6418 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6418, expected_value: E12000005, label: geography} + - {column: D, row: 6418, expected_value: Females, label: sex} + - {column: E, row: 6418, expected_value: Self-employed, label: employment type} + - {column: J, row: 6418, expected_value: Value, label: measure} + - {column: L, row: 6419, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6420 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6420, expected_value: E12000005, label: geography} + - {column: D, row: 6420, expected_value: Females, label: sex} + - {column: E, row: 6420, expected_value: Self-employed, label: employment type} + - {column: J, row: 6420, expected_value: Value, label: measure} + - {column: L, row: 6421, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6422 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6422, expected_value: E12000005, label: geography} + - {column: D, row: 6422, expected_value: Females, label: sex} + - {column: E, row: 6422, expected_value: Self-employed, label: employment type} + - {column: J, row: 6422, expected_value: Value, label: measure} + - {column: L, row: 6423, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6424 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6424, expected_value: E12000005, label: geography} + - {column: D, row: 6424, expected_value: Females, label: sex} + - {column: E, row: 6424, expected_value: Self-employed, label: employment type} + - {column: J, row: 6424, expected_value: Value, label: measure} + - {column: L, row: 6425, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6426 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6426, expected_value: E12000005, label: geography} + - {column: D, row: 6426, expected_value: Females, label: sex} + - {column: E, row: 6426, expected_value: Self-employed, label: employment type} + - {column: J, row: 6426, expected_value: Value, label: measure} + - {column: L, row: 6427, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6428 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6428, expected_value: E12000005, label: geography} + - {column: D, row: 6428, expected_value: Females, label: sex} + - {column: E, row: 6428, expected_value: Self-employed, label: employment type} + - {column: J, row: 6428, expected_value: Value, label: measure} + - {column: L, row: 6429, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6432 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6432, expected_value: E12000005, label: geography} + - {column: D, row: 6432, expected_value: Females, label: sex} + - {column: E, row: 6432, expected_value: Self-employed, label: employment type} + - {column: J, row: 6432, expected_value: Value, label: measure} + - {column: L, row: 6433, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6436 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6436, expected_value: E12000005, label: geography} + - {column: D, row: 6436, expected_value: Females, label: sex} + - {column: E, row: 6436, expected_value: Self-employed, label: employment type} + - {column: J, row: 6436, expected_value: Value, label: measure} + - {column: L, row: 6437, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6438 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6438, expected_value: E12000005, label: geography} + - {column: D, row: 6438, expected_value: Females, label: sex} + - {column: E, row: 6438, expected_value: Self-employed, label: employment type} + - {column: J, row: 6438, expected_value: Value, label: measure} + - {column: L, row: 6439, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6440 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6440, expected_value: E12000005, label: geography} + - {column: D, row: 6440, expected_value: Females, label: sex} + - {column: E, row: 6440, expected_value: Self-employed, label: employment type} + - {column: J, row: 6440, expected_value: Value, label: measure} + - {column: L, row: 6441, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6442 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6442, expected_value: E12000005, label: geography} + - {column: D, row: 6442, expected_value: Females, label: sex} + - {column: E, row: 6442, expected_value: Self-employed, label: employment type} + - {column: J, row: 6442, expected_value: Value, label: measure} + - {column: L, row: 6443, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6444 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6444, expected_value: E12000005, label: geography} + - {column: D, row: 6444, expected_value: Females, label: sex} + - {column: E, row: 6444, expected_value: Self-employed, label: employment type} + - {column: J, row: 6444, expected_value: Value, label: measure} + - {column: L, row: 6445, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6446 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6446, expected_value: E12000005, label: geography} + - {column: D, row: 6446, expected_value: Females, label: sex} + - {column: E, row: 6446, expected_value: Self-employed, label: employment type} + - {column: J, row: 6446, expected_value: Value, label: measure} + - {column: L, row: 6447, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6448 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6448, expected_value: E12000005, label: geography} + - {column: D, row: 6448, expected_value: Females, label: sex} + - {column: E, row: 6448, expected_value: Self-employed, label: employment type} + - {column: J, row: 6448, expected_value: Value, label: measure} + - {column: L, row: 6449, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6452 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6452, expected_value: E12000005, label: geography} + - {column: D, row: 6452, expected_value: Females, label: sex} + - {column: E, row: 6452, expected_value: Self-employed, label: employment type} + - {column: J, row: 6452, expected_value: Value, label: measure} + - {column: L, row: 6453, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6454 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6454, expected_value: E12000005, label: geography} + - {column: D, row: 6454, expected_value: Females, label: sex} + - {column: E, row: 6454, expected_value: Self-employed, label: employment type} + - {column: J, row: 6454, expected_value: Value, label: measure} + - {column: L, row: 6455, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6456 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6456, expected_value: E12000005, label: geography} + - {column: D, row: 6456, expected_value: Females, label: sex} + - {column: E, row: 6456, expected_value: Self-employed, label: employment type} + - {column: J, row: 6456, expected_value: Value, label: measure} + - {column: L, row: 6457, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6458 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6458, expected_value: E12000005, label: geography} + - {column: D, row: 6458, expected_value: Females, label: sex} + - {column: E, row: 6458, expected_value: Self-employed, label: employment type} + - {column: J, row: 6458, expected_value: Value, label: measure} + - {column: L, row: 6459, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6460 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6460, expected_value: E12000005, label: geography} + - {column: D, row: 6460, expected_value: Females, label: sex} + - {column: E, row: 6460, expected_value: Self-employed, label: employment type} + - {column: J, row: 6460, expected_value: Value, label: measure} + - {column: L, row: 6461, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6464 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6464, expected_value: E12000005, label: geography} + - {column: D, row: 6464, expected_value: Females, label: sex} + - {column: E, row: 6464, expected_value: Self-employed, label: employment type} + - {column: J, row: 6464, expected_value: Value, label: measure} + - {column: L, row: 6465, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6466 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6466, expected_value: E12000005, label: geography} + - {column: D, row: 6466, expected_value: Females, label: sex} + - {column: E, row: 6466, expected_value: Self-employed, label: employment type} + - {column: J, row: 6466, expected_value: Value, label: measure} + - {column: L, row: 6467, expected_value: G, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6468 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6468, expected_value: E12000005, label: geography} + - {column: D, row: 6468, expected_value: Females, label: sex} + - {column: E, row: 6468, expected_value: Self-employed, label: employment type} + - {column: J, row: 6468, expected_value: Value, label: measure} + - {column: L, row: 6469, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6470 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6470, expected_value: E12000005, label: geography} + - {column: D, row: 6470, expected_value: Females, label: sex} + - {column: E, row: 6470, expected_value: Self-employed, label: employment type} + - {column: J, row: 6470, expected_value: Value, label: measure} + - {column: L, row: 6471, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6474 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6474, expected_value: E12000005, label: geography} + - {column: D, row: 6474, expected_value: Females, label: sex} + - {column: E, row: 6474, expected_value: Self-employed, label: employment type} + - {column: J, row: 6474, expected_value: Value, label: measure} + - {column: L, row: 6475, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6476 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6476, expected_value: E12000005, label: geography} + - {column: D, row: 6476, expected_value: Females, label: sex} + - {column: E, row: 6476, expected_value: Self-employed, label: employment type} + - {column: J, row: 6476, expected_value: Value, label: measure} + - {column: L, row: 6477, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6480 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6480, expected_value: E12000005, label: geography} + - {column: D, row: 6480, expected_value: Females, label: sex} + - {column: E, row: 6480, expected_value: Self-employed, label: employment type} + - {column: J, row: 6480, expected_value: Value, label: measure} + - {column: L, row: 6481, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000005.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6411 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6411, expected_value: E12000005, label: geography} + - {column: D, row: 6411, expected_value: Females, label: sex} + - {column: E, row: 6411, expected_value: Self-employed, label: employment type} + - {column: J, row: 6411, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6413 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6413, expected_value: E12000005, label: geography} + - {column: D, row: 6413, expected_value: Females, label: sex} + - {column: E, row: 6413, expected_value: Self-employed, label: employment type} + - {column: J, row: 6413, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6415 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6415, expected_value: E12000005, label: geography} + - {column: D, row: 6415, expected_value: Females, label: sex} + - {column: E, row: 6415, expected_value: Self-employed, label: employment type} + - {column: J, row: 6415, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6417 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6417, expected_value: E12000005, label: geography} + - {column: D, row: 6417, expected_value: Females, label: sex} + - {column: E, row: 6417, expected_value: Self-employed, label: employment type} + - {column: J, row: 6417, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6419 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6419, expected_value: E12000005, label: geography} + - {column: D, row: 6419, expected_value: Females, label: sex} + - {column: E, row: 6419, expected_value: Self-employed, label: employment type} + - {column: J, row: 6419, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6423 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6423, expected_value: E12000005, label: geography} + - {column: D, row: 6423, expected_value: Females, label: sex} + - {column: E, row: 6423, expected_value: Self-employed, label: employment type} + - {column: J, row: 6423, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6425 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6425, expected_value: E12000005, label: geography} + - {column: D, row: 6425, expected_value: Females, label: sex} + - {column: E, row: 6425, expected_value: Self-employed, label: employment type} + - {column: J, row: 6425, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6427 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6427, expected_value: E12000005, label: geography} + - {column: D, row: 6427, expected_value: Females, label: sex} + - {column: E, row: 6427, expected_value: Self-employed, label: employment type} + - {column: J, row: 6427, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6429 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6429, expected_value: E12000005, label: geography} + - {column: D, row: 6429, expected_value: Females, label: sex} + - {column: E, row: 6429, expected_value: Self-employed, label: employment type} + - {column: J, row: 6429, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6433 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6433, expected_value: E12000005, label: geography} + - {column: D, row: 6433, expected_value: Females, label: sex} + - {column: E, row: 6433, expected_value: Self-employed, label: employment type} + - {column: J, row: 6433, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6437 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6437, expected_value: E12000005, label: geography} + - {column: D, row: 6437, expected_value: Females, label: sex} + - {column: E, row: 6437, expected_value: Self-employed, label: employment type} + - {column: J, row: 6437, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6439 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6439, expected_value: E12000005, label: geography} + - {column: D, row: 6439, expected_value: Females, label: sex} + - {column: E, row: 6439, expected_value: Self-employed, label: employment type} + - {column: J, row: 6439, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6441 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6441, expected_value: E12000005, label: geography} + - {column: D, row: 6441, expected_value: Females, label: sex} + - {column: E, row: 6441, expected_value: Self-employed, label: employment type} + - {column: J, row: 6441, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6443 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6443, expected_value: E12000005, label: geography} + - {column: D, row: 6443, expected_value: Females, label: sex} + - {column: E, row: 6443, expected_value: Self-employed, label: employment type} + - {column: J, row: 6443, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6447 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6447, expected_value: E12000005, label: geography} + - {column: D, row: 6447, expected_value: Females, label: sex} + - {column: E, row: 6447, expected_value: Self-employed, label: employment type} + - {column: J, row: 6447, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6449 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6449, expected_value: E12000005, label: geography} + - {column: D, row: 6449, expected_value: Females, label: sex} + - {column: E, row: 6449, expected_value: Self-employed, label: employment type} + - {column: J, row: 6449, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6455 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6455, expected_value: E12000005, label: geography} + - {column: D, row: 6455, expected_value: Females, label: sex} + - {column: E, row: 6455, expected_value: Self-employed, label: employment type} + - {column: J, row: 6455, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6457 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6457, expected_value: E12000005, label: geography} + - {column: D, row: 6457, expected_value: Females, label: sex} + - {column: E, row: 6457, expected_value: Self-employed, label: employment type} + - {column: J, row: 6457, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6459 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6459, expected_value: E12000005, label: geography} + - {column: D, row: 6459, expected_value: Females, label: sex} + - {column: E, row: 6459, expected_value: Self-employed, label: employment type} + - {column: J, row: 6459, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6461 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6461, expected_value: E12000005, label: geography} + - {column: D, row: 6461, expected_value: Females, label: sex} + - {column: E, row: 6461, expected_value: Self-employed, label: employment type} + - {column: J, row: 6461, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6477 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6477, expected_value: E12000005, label: geography} + - {column: D, row: 6477, expected_value: Females, label: sex} + - {column: E, row: 6477, expected_value: Self-employed, label: employment type} + - {column: J, row: 6477, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6481 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6481, expected_value: E12000005, label: geography} + - {column: D, row: 6481, expected_value: Females, label: sex} + - {column: E, row: 6481, expected_value: Self-employed, label: employment type} + - {column: J, row: 6481, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6482 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6482, expected_value: E12000006, label: geography} + - {column: D, row: 6482, expected_value: All persons, label: sex} + - {column: E, row: 6482, expected_value: Total, label: employment type} + - {column: J, row: 6482, expected_value: Value, label: measure} + - {column: L, row: 6483, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6484 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6484, expected_value: E12000006, label: geography} + - {column: D, row: 6484, expected_value: All persons, label: sex} + - {column: E, row: 6484, expected_value: Total, label: employment type} + - {column: J, row: 6484, expected_value: Value, label: measure} + - {column: L, row: 6485, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6486 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6486, expected_value: E12000006, label: geography} + - {column: D, row: 6486, expected_value: All persons, label: sex} + - {column: E, row: 6486, expected_value: Total, label: employment type} + - {column: J, row: 6486, expected_value: Value, label: measure} + - {column: L, row: 6487, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6488 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6488, expected_value: E12000006, label: geography} + - {column: D, row: 6488, expected_value: All persons, label: sex} + - {column: E, row: 6488, expected_value: Total, label: employment type} + - {column: J, row: 6488, expected_value: Value, label: measure} + - {column: L, row: 6489, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6490 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6490, expected_value: E12000006, label: geography} + - {column: D, row: 6490, expected_value: All persons, label: sex} + - {column: E, row: 6490, expected_value: Total, label: employment type} + - {column: J, row: 6490, expected_value: Value, label: measure} + - {column: L, row: 6491, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6492 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6492, expected_value: E12000006, label: geography} + - {column: D, row: 6492, expected_value: All persons, label: sex} + - {column: E, row: 6492, expected_value: Total, label: employment type} + - {column: J, row: 6492, expected_value: Value, label: measure} + - {column: L, row: 6493, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6494 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6494, expected_value: E12000006, label: geography} + - {column: D, row: 6494, expected_value: All persons, label: sex} + - {column: E, row: 6494, expected_value: Total, label: employment type} + - {column: J, row: 6494, expected_value: Value, label: measure} + - {column: L, row: 6495, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6496 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6496, expected_value: E12000006, label: geography} + - {column: D, row: 6496, expected_value: All persons, label: sex} + - {column: E, row: 6496, expected_value: Total, label: employment type} + - {column: J, row: 6496, expected_value: Value, label: measure} + - {column: L, row: 6497, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6498 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6498, expected_value: E12000006, label: geography} + - {column: D, row: 6498, expected_value: All persons, label: sex} + - {column: E, row: 6498, expected_value: Total, label: employment type} + - {column: J, row: 6498, expected_value: Value, label: measure} + - {column: L, row: 6499, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6500 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6500, expected_value: E12000006, label: geography} + - {column: D, row: 6500, expected_value: All persons, label: sex} + - {column: E, row: 6500, expected_value: Total, label: employment type} + - {column: J, row: 6500, expected_value: Value, label: measure} + - {column: L, row: 6501, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6502 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6502, expected_value: E12000006, label: geography} + - {column: D, row: 6502, expected_value: All persons, label: sex} + - {column: E, row: 6502, expected_value: Total, label: employment type} + - {column: J, row: 6502, expected_value: Value, label: measure} + - {column: L, row: 6503, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6504 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6504, expected_value: E12000006, label: geography} + - {column: D, row: 6504, expected_value: All persons, label: sex} + - {column: E, row: 6504, expected_value: Total, label: employment type} + - {column: J, row: 6504, expected_value: Value, label: measure} + - {column: L, row: 6505, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6506 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6506, expected_value: E12000006, label: geography} + - {column: D, row: 6506, expected_value: All persons, label: sex} + - {column: E, row: 6506, expected_value: Total, label: employment type} + - {column: J, row: 6506, expected_value: Value, label: measure} + - {column: L, row: 6507, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6508 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6508, expected_value: E12000006, label: geography} + - {column: D, row: 6508, expected_value: All persons, label: sex} + - {column: E, row: 6508, expected_value: Total, label: employment type} + - {column: J, row: 6508, expected_value: Value, label: measure} + - {column: L, row: 6509, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6510 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6510, expected_value: E12000006, label: geography} + - {column: D, row: 6510, expected_value: All persons, label: sex} + - {column: E, row: 6510, expected_value: Total, label: employment type} + - {column: J, row: 6510, expected_value: Value, label: measure} + - {column: L, row: 6511, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6512 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6512, expected_value: E12000006, label: geography} + - {column: D, row: 6512, expected_value: All persons, label: sex} + - {column: E, row: 6512, expected_value: Total, label: employment type} + - {column: J, row: 6512, expected_value: Value, label: measure} + - {column: L, row: 6513, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6514 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6514, expected_value: E12000006, label: geography} + - {column: D, row: 6514, expected_value: All persons, label: sex} + - {column: E, row: 6514, expected_value: Total, label: employment type} + - {column: J, row: 6514, expected_value: Value, label: measure} + - {column: L, row: 6515, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6516 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6516, expected_value: E12000006, label: geography} + - {column: D, row: 6516, expected_value: All persons, label: sex} + - {column: E, row: 6516, expected_value: Total, label: employment type} + - {column: J, row: 6516, expected_value: Value, label: measure} + - {column: L, row: 6517, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6518 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6518, expected_value: E12000006, label: geography} + - {column: D, row: 6518, expected_value: All persons, label: sex} + - {column: E, row: 6518, expected_value: Total, label: employment type} + - {column: J, row: 6518, expected_value: Value, label: measure} + - {column: L, row: 6519, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6520 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6520, expected_value: E12000006, label: geography} + - {column: D, row: 6520, expected_value: All persons, label: sex} + - {column: E, row: 6520, expected_value: Total, label: employment type} + - {column: J, row: 6520, expected_value: Value, label: measure} + - {column: L, row: 6521, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6522 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6522, expected_value: E12000006, label: geography} + - {column: D, row: 6522, expected_value: All persons, label: sex} + - {column: E, row: 6522, expected_value: Total, label: employment type} + - {column: J, row: 6522, expected_value: Value, label: measure} + - {column: L, row: 6523, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6524 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6524, expected_value: E12000006, label: geography} + - {column: D, row: 6524, expected_value: All persons, label: sex} + - {column: E, row: 6524, expected_value: Total, label: employment type} + - {column: J, row: 6524, expected_value: Value, label: measure} + - {column: L, row: 6525, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6526 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6526, expected_value: E12000006, label: geography} + - {column: D, row: 6526, expected_value: All persons, label: sex} + - {column: E, row: 6526, expected_value: Total, label: employment type} + - {column: J, row: 6526, expected_value: Value, label: measure} + - {column: L, row: 6527, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6528 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6528, expected_value: E12000006, label: geography} + - {column: D, row: 6528, expected_value: All persons, label: sex} + - {column: E, row: 6528, expected_value: Total, label: employment type} + - {column: J, row: 6528, expected_value: Value, label: measure} + - {column: L, row: 6529, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6530 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6530, expected_value: E12000006, label: geography} + - {column: D, row: 6530, expected_value: All persons, label: sex} + - {column: E, row: 6530, expected_value: Total, label: employment type} + - {column: J, row: 6530, expected_value: Value, label: measure} + - {column: L, row: 6531, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6532 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6532, expected_value: E12000006, label: geography} + - {column: D, row: 6532, expected_value: All persons, label: sex} + - {column: E, row: 6532, expected_value: Total, label: employment type} + - {column: J, row: 6532, expected_value: Value, label: measure} + - {column: L, row: 6533, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6534 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6534, expected_value: E12000006, label: geography} + - {column: D, row: 6534, expected_value: All persons, label: sex} + - {column: E, row: 6534, expected_value: Total, label: employment type} + - {column: J, row: 6534, expected_value: Value, label: measure} + - {column: L, row: 6535, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6536 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6536, expected_value: E12000006, label: geography} + - {column: D, row: 6536, expected_value: All persons, label: sex} + - {column: E, row: 6536, expected_value: Total, label: employment type} + - {column: J, row: 6536, expected_value: Value, label: measure} + - {column: L, row: 6537, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6538 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6538, expected_value: E12000006, label: geography} + - {column: D, row: 6538, expected_value: All persons, label: sex} + - {column: E, row: 6538, expected_value: Total, label: employment type} + - {column: J, row: 6538, expected_value: Value, label: measure} + - {column: L, row: 6539, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6540 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6540, expected_value: E12000006, label: geography} + - {column: D, row: 6540, expected_value: All persons, label: sex} + - {column: E, row: 6540, expected_value: Total, label: employment type} + - {column: J, row: 6540, expected_value: Value, label: measure} + - {column: L, row: 6541, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6542 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6542, expected_value: E12000006, label: geography} + - {column: D, row: 6542, expected_value: All persons, label: sex} + - {column: E, row: 6542, expected_value: Total, label: employment type} + - {column: J, row: 6542, expected_value: Value, label: measure} + - {column: L, row: 6543, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6544 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6544, expected_value: E12000006, label: geography} + - {column: D, row: 6544, expected_value: All persons, label: sex} + - {column: E, row: 6544, expected_value: Total, label: employment type} + - {column: J, row: 6544, expected_value: Value, label: measure} + - {column: L, row: 6545, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6546 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6546, expected_value: E12000006, label: geography} + - {column: D, row: 6546, expected_value: All persons, label: sex} + - {column: E, row: 6546, expected_value: Total, label: employment type} + - {column: J, row: 6546, expected_value: Value, label: measure} + - {column: L, row: 6547, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6548 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6548, expected_value: E12000006, label: geography} + - {column: D, row: 6548, expected_value: All persons, label: sex} + - {column: E, row: 6548, expected_value: Total, label: employment type} + - {column: J, row: 6548, expected_value: Value, label: measure} + - {column: L, row: 6549, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6550 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6550, expected_value: E12000006, label: geography} + - {column: D, row: 6550, expected_value: All persons, label: sex} + - {column: E, row: 6550, expected_value: Total, label: employment type} + - {column: J, row: 6550, expected_value: Value, label: measure} + - {column: L, row: 6551, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6552 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6552, expected_value: E12000006, label: geography} + - {column: D, row: 6552, expected_value: All persons, label: sex} + - {column: E, row: 6552, expected_value: Total, label: employment type} + - {column: J, row: 6552, expected_value: Value, label: measure} + - {column: L, row: 6553, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6483 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6483, expected_value: E12000006, label: geography} + - {column: D, row: 6483, expected_value: All persons, label: sex} + - {column: E, row: 6483, expected_value: Total, label: employment type} + - {column: J, row: 6483, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6485 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6485, expected_value: E12000006, label: geography} + - {column: D, row: 6485, expected_value: All persons, label: sex} + - {column: E, row: 6485, expected_value: Total, label: employment type} + - {column: J, row: 6485, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6487 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6487, expected_value: E12000006, label: geography} + - {column: D, row: 6487, expected_value: All persons, label: sex} + - {column: E, row: 6487, expected_value: Total, label: employment type} + - {column: J, row: 6487, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6489 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6489, expected_value: E12000006, label: geography} + - {column: D, row: 6489, expected_value: All persons, label: sex} + - {column: E, row: 6489, expected_value: Total, label: employment type} + - {column: J, row: 6489, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6491 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6491, expected_value: E12000006, label: geography} + - {column: D, row: 6491, expected_value: All persons, label: sex} + - {column: E, row: 6491, expected_value: Total, label: employment type} + - {column: J, row: 6491, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6493 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6493, expected_value: E12000006, label: geography} + - {column: D, row: 6493, expected_value: All persons, label: sex} + - {column: E, row: 6493, expected_value: Total, label: employment type} + - {column: J, row: 6493, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6495 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6495, expected_value: E12000006, label: geography} + - {column: D, row: 6495, expected_value: All persons, label: sex} + - {column: E, row: 6495, expected_value: Total, label: employment type} + - {column: J, row: 6495, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6497 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6497, expected_value: E12000006, label: geography} + - {column: D, row: 6497, expected_value: All persons, label: sex} + - {column: E, row: 6497, expected_value: Total, label: employment type} + - {column: J, row: 6497, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6499 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6499, expected_value: E12000006, label: geography} + - {column: D, row: 6499, expected_value: All persons, label: sex} + - {column: E, row: 6499, expected_value: Total, label: employment type} + - {column: J, row: 6499, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6501 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6501, expected_value: E12000006, label: geography} + - {column: D, row: 6501, expected_value: All persons, label: sex} + - {column: E, row: 6501, expected_value: Total, label: employment type} + - {column: J, row: 6501, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6503 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6503, expected_value: E12000006, label: geography} + - {column: D, row: 6503, expected_value: All persons, label: sex} + - {column: E, row: 6503, expected_value: Total, label: employment type} + - {column: J, row: 6503, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6505 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6505, expected_value: E12000006, label: geography} + - {column: D, row: 6505, expected_value: All persons, label: sex} + - {column: E, row: 6505, expected_value: Total, label: employment type} + - {column: J, row: 6505, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6507 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6507, expected_value: E12000006, label: geography} + - {column: D, row: 6507, expected_value: All persons, label: sex} + - {column: E, row: 6507, expected_value: Total, label: employment type} + - {column: J, row: 6507, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6509 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6509, expected_value: E12000006, label: geography} + - {column: D, row: 6509, expected_value: All persons, label: sex} + - {column: E, row: 6509, expected_value: Total, label: employment type} + - {column: J, row: 6509, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6511 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6511, expected_value: E12000006, label: geography} + - {column: D, row: 6511, expected_value: All persons, label: sex} + - {column: E, row: 6511, expected_value: Total, label: employment type} + - {column: J, row: 6511, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6513 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6513, expected_value: E12000006, label: geography} + - {column: D, row: 6513, expected_value: All persons, label: sex} + - {column: E, row: 6513, expected_value: Total, label: employment type} + - {column: J, row: 6513, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6515 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6515, expected_value: E12000006, label: geography} + - {column: D, row: 6515, expected_value: All persons, label: sex} + - {column: E, row: 6515, expected_value: Total, label: employment type} + - {column: J, row: 6515, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6517 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6517, expected_value: E12000006, label: geography} + - {column: D, row: 6517, expected_value: All persons, label: sex} + - {column: E, row: 6517, expected_value: Total, label: employment type} + - {column: J, row: 6517, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6519 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6519, expected_value: E12000006, label: geography} + - {column: D, row: 6519, expected_value: All persons, label: sex} + - {column: E, row: 6519, expected_value: Total, label: employment type} + - {column: J, row: 6519, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6521 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6521, expected_value: E12000006, label: geography} + - {column: D, row: 6521, expected_value: All persons, label: sex} + - {column: E, row: 6521, expected_value: Total, label: employment type} + - {column: J, row: 6521, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6523 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6523, expected_value: E12000006, label: geography} + - {column: D, row: 6523, expected_value: All persons, label: sex} + - {column: E, row: 6523, expected_value: Total, label: employment type} + - {column: J, row: 6523, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6525 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6525, expected_value: E12000006, label: geography} + - {column: D, row: 6525, expected_value: All persons, label: sex} + - {column: E, row: 6525, expected_value: Total, label: employment type} + - {column: J, row: 6525, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6527 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6527, expected_value: E12000006, label: geography} + - {column: D, row: 6527, expected_value: All persons, label: sex} + - {column: E, row: 6527, expected_value: Total, label: employment type} + - {column: J, row: 6527, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6529 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6529, expected_value: E12000006, label: geography} + - {column: D, row: 6529, expected_value: All persons, label: sex} + - {column: E, row: 6529, expected_value: Total, label: employment type} + - {column: J, row: 6529, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6531 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6531, expected_value: E12000006, label: geography} + - {column: D, row: 6531, expected_value: All persons, label: sex} + - {column: E, row: 6531, expected_value: Total, label: employment type} + - {column: J, row: 6531, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6533 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6533, expected_value: E12000006, label: geography} + - {column: D, row: 6533, expected_value: All persons, label: sex} + - {column: E, row: 6533, expected_value: Total, label: employment type} + - {column: J, row: 6533, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6537 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6537, expected_value: E12000006, label: geography} + - {column: D, row: 6537, expected_value: All persons, label: sex} + - {column: E, row: 6537, expected_value: Total, label: employment type} + - {column: J, row: 6537, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6539 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6539, expected_value: E12000006, label: geography} + - {column: D, row: 6539, expected_value: All persons, label: sex} + - {column: E, row: 6539, expected_value: Total, label: employment type} + - {column: J, row: 6539, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6541 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6541, expected_value: E12000006, label: geography} + - {column: D, row: 6541, expected_value: All persons, label: sex} + - {column: E, row: 6541, expected_value: Total, label: employment type} + - {column: J, row: 6541, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6543 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6543, expected_value: E12000006, label: geography} + - {column: D, row: 6543, expected_value: All persons, label: sex} + - {column: E, row: 6543, expected_value: Total, label: employment type} + - {column: J, row: 6543, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6545 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6545, expected_value: E12000006, label: geography} + - {column: D, row: 6545, expected_value: All persons, label: sex} + - {column: E, row: 6545, expected_value: Total, label: employment type} + - {column: J, row: 6545, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6547 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6547, expected_value: E12000006, label: geography} + - {column: D, row: 6547, expected_value: All persons, label: sex} + - {column: E, row: 6547, expected_value: Total, label: employment type} + - {column: J, row: 6547, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6549 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6549, expected_value: E12000006, label: geography} + - {column: D, row: 6549, expected_value: All persons, label: sex} + - {column: E, row: 6549, expected_value: Total, label: employment type} + - {column: J, row: 6549, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6551 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6551, expected_value: E12000006, label: geography} + - {column: D, row: 6551, expected_value: All persons, label: sex} + - {column: E, row: 6551, expected_value: Total, label: employment type} + - {column: J, row: 6551, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6553 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6553, expected_value: E12000006, label: geography} + - {column: D, row: 6553, expected_value: All persons, label: sex} + - {column: E, row: 6553, expected_value: Total, label: employment type} + - {column: J, row: 6553, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6698 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6698, expected_value: E12000006, label: geography} + - {column: D, row: 6698, expected_value: All persons, label: sex} + - {column: E, row: 6698, expected_value: Employee, label: employment type} + - {column: J, row: 6698, expected_value: Value, label: measure} + - {column: L, row: 6699, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6700 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6700, expected_value: E12000006, label: geography} + - {column: D, row: 6700, expected_value: All persons, label: sex} + - {column: E, row: 6700, expected_value: Employee, label: employment type} + - {column: J, row: 6700, expected_value: Value, label: measure} + - {column: L, row: 6701, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6702 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6702, expected_value: E12000006, label: geography} + - {column: D, row: 6702, expected_value: All persons, label: sex} + - {column: E, row: 6702, expected_value: Employee, label: employment type} + - {column: J, row: 6702, expected_value: Value, label: measure} + - {column: L, row: 6703, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6704 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6704, expected_value: E12000006, label: geography} + - {column: D, row: 6704, expected_value: All persons, label: sex} + - {column: E, row: 6704, expected_value: Employee, label: employment type} + - {column: J, row: 6704, expected_value: Value, label: measure} + - {column: L, row: 6705, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6706 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6706, expected_value: E12000006, label: geography} + - {column: D, row: 6706, expected_value: All persons, label: sex} + - {column: E, row: 6706, expected_value: Employee, label: employment type} + - {column: J, row: 6706, expected_value: Value, label: measure} + - {column: L, row: 6707, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6708 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6708, expected_value: E12000006, label: geography} + - {column: D, row: 6708, expected_value: All persons, label: sex} + - {column: E, row: 6708, expected_value: Employee, label: employment type} + - {column: J, row: 6708, expected_value: Value, label: measure} + - {column: L, row: 6709, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6710 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6710, expected_value: E12000006, label: geography} + - {column: D, row: 6710, expected_value: All persons, label: sex} + - {column: E, row: 6710, expected_value: Employee, label: employment type} + - {column: J, row: 6710, expected_value: Value, label: measure} + - {column: L, row: 6711, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6712 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6712, expected_value: E12000006, label: geography} + - {column: D, row: 6712, expected_value: All persons, label: sex} + - {column: E, row: 6712, expected_value: Employee, label: employment type} + - {column: J, row: 6712, expected_value: Value, label: measure} + - {column: L, row: 6713, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6714 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6714, expected_value: E12000006, label: geography} + - {column: D, row: 6714, expected_value: All persons, label: sex} + - {column: E, row: 6714, expected_value: Employee, label: employment type} + - {column: J, row: 6714, expected_value: Value, label: measure} + - {column: L, row: 6715, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6716 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6716, expected_value: E12000006, label: geography} + - {column: D, row: 6716, expected_value: All persons, label: sex} + - {column: E, row: 6716, expected_value: Employee, label: employment type} + - {column: J, row: 6716, expected_value: Value, label: measure} + - {column: L, row: 6717, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6718 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6718, expected_value: E12000006, label: geography} + - {column: D, row: 6718, expected_value: All persons, label: sex} + - {column: E, row: 6718, expected_value: Employee, label: employment type} + - {column: J, row: 6718, expected_value: Value, label: measure} + - {column: L, row: 6719, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6720 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6720, expected_value: E12000006, label: geography} + - {column: D, row: 6720, expected_value: All persons, label: sex} + - {column: E, row: 6720, expected_value: Employee, label: employment type} + - {column: J, row: 6720, expected_value: Value, label: measure} + - {column: L, row: 6721, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6722 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6722, expected_value: E12000006, label: geography} + - {column: D, row: 6722, expected_value: All persons, label: sex} + - {column: E, row: 6722, expected_value: Employee, label: employment type} + - {column: J, row: 6722, expected_value: Value, label: measure} + - {column: L, row: 6723, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6724 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6724, expected_value: E12000006, label: geography} + - {column: D, row: 6724, expected_value: All persons, label: sex} + - {column: E, row: 6724, expected_value: Employee, label: employment type} + - {column: J, row: 6724, expected_value: Value, label: measure} + - {column: L, row: 6725, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6726 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6726, expected_value: E12000006, label: geography} + - {column: D, row: 6726, expected_value: All persons, label: sex} + - {column: E, row: 6726, expected_value: Employee, label: employment type} + - {column: J, row: 6726, expected_value: Value, label: measure} + - {column: L, row: 6727, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6728 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6728, expected_value: E12000006, label: geography} + - {column: D, row: 6728, expected_value: All persons, label: sex} + - {column: E, row: 6728, expected_value: Employee, label: employment type} + - {column: J, row: 6728, expected_value: Value, label: measure} + - {column: L, row: 6729, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6730 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6730, expected_value: E12000006, label: geography} + - {column: D, row: 6730, expected_value: All persons, label: sex} + - {column: E, row: 6730, expected_value: Employee, label: employment type} + - {column: J, row: 6730, expected_value: Value, label: measure} + - {column: L, row: 6731, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6732 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6732, expected_value: E12000006, label: geography} + - {column: D, row: 6732, expected_value: All persons, label: sex} + - {column: E, row: 6732, expected_value: Employee, label: employment type} + - {column: J, row: 6732, expected_value: Value, label: measure} + - {column: L, row: 6733, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6734 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6734, expected_value: E12000006, label: geography} + - {column: D, row: 6734, expected_value: All persons, label: sex} + - {column: E, row: 6734, expected_value: Employee, label: employment type} + - {column: J, row: 6734, expected_value: Value, label: measure} + - {column: L, row: 6735, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6736 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6736, expected_value: E12000006, label: geography} + - {column: D, row: 6736, expected_value: All persons, label: sex} + - {column: E, row: 6736, expected_value: Employee, label: employment type} + - {column: J, row: 6736, expected_value: Value, label: measure} + - {column: L, row: 6737, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6738 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6738, expected_value: E12000006, label: geography} + - {column: D, row: 6738, expected_value: All persons, label: sex} + - {column: E, row: 6738, expected_value: Employee, label: employment type} + - {column: J, row: 6738, expected_value: Value, label: measure} + - {column: L, row: 6739, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6740 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6740, expected_value: E12000006, label: geography} + - {column: D, row: 6740, expected_value: All persons, label: sex} + - {column: E, row: 6740, expected_value: Employee, label: employment type} + - {column: J, row: 6740, expected_value: Value, label: measure} + - {column: L, row: 6741, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6742 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6742, expected_value: E12000006, label: geography} + - {column: D, row: 6742, expected_value: All persons, label: sex} + - {column: E, row: 6742, expected_value: Employee, label: employment type} + - {column: J, row: 6742, expected_value: Value, label: measure} + - {column: L, row: 6743, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6744 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6744, expected_value: E12000006, label: geography} + - {column: D, row: 6744, expected_value: All persons, label: sex} + - {column: E, row: 6744, expected_value: Employee, label: employment type} + - {column: J, row: 6744, expected_value: Value, label: measure} + - {column: L, row: 6745, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6746 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6746, expected_value: E12000006, label: geography} + - {column: D, row: 6746, expected_value: All persons, label: sex} + - {column: E, row: 6746, expected_value: Employee, label: employment type} + - {column: J, row: 6746, expected_value: Value, label: measure} + - {column: L, row: 6747, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6748 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6748, expected_value: E12000006, label: geography} + - {column: D, row: 6748, expected_value: All persons, label: sex} + - {column: E, row: 6748, expected_value: Employee, label: employment type} + - {column: J, row: 6748, expected_value: Value, label: measure} + - {column: L, row: 6749, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6750 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6750, expected_value: E12000006, label: geography} + - {column: D, row: 6750, expected_value: All persons, label: sex} + - {column: E, row: 6750, expected_value: Employee, label: employment type} + - {column: J, row: 6750, expected_value: Value, label: measure} + - {column: L, row: 6751, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6752 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6752, expected_value: E12000006, label: geography} + - {column: D, row: 6752, expected_value: All persons, label: sex} + - {column: E, row: 6752, expected_value: Employee, label: employment type} + - {column: J, row: 6752, expected_value: Value, label: measure} + - {column: L, row: 6753, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6754 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6754, expected_value: E12000006, label: geography} + - {column: D, row: 6754, expected_value: All persons, label: sex} + - {column: E, row: 6754, expected_value: Employee, label: employment type} + - {column: J, row: 6754, expected_value: Value, label: measure} + - {column: L, row: 6755, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6756 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6756, expected_value: E12000006, label: geography} + - {column: D, row: 6756, expected_value: All persons, label: sex} + - {column: E, row: 6756, expected_value: Employee, label: employment type} + - {column: J, row: 6756, expected_value: Value, label: measure} + - {column: L, row: 6757, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6758 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6758, expected_value: E12000006, label: geography} + - {column: D, row: 6758, expected_value: All persons, label: sex} + - {column: E, row: 6758, expected_value: Employee, label: employment type} + - {column: J, row: 6758, expected_value: Value, label: measure} + - {column: L, row: 6759, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6760 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6760, expected_value: E12000006, label: geography} + - {column: D, row: 6760, expected_value: All persons, label: sex} + - {column: E, row: 6760, expected_value: Employee, label: employment type} + - {column: J, row: 6760, expected_value: Value, label: measure} + - {column: L, row: 6761, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6762 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6762, expected_value: E12000006, label: geography} + - {column: D, row: 6762, expected_value: All persons, label: sex} + - {column: E, row: 6762, expected_value: Employee, label: employment type} + - {column: J, row: 6762, expected_value: Value, label: measure} + - {column: L, row: 6763, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6764 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6764, expected_value: E12000006, label: geography} + - {column: D, row: 6764, expected_value: All persons, label: sex} + - {column: E, row: 6764, expected_value: Employee, label: employment type} + - {column: J, row: 6764, expected_value: Value, label: measure} + - {column: L, row: 6765, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6766 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6766, expected_value: E12000006, label: geography} + - {column: D, row: 6766, expected_value: All persons, label: sex} + - {column: E, row: 6766, expected_value: Employee, label: employment type} + - {column: J, row: 6766, expected_value: Value, label: measure} + - {column: L, row: 6767, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6768 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6768, expected_value: E12000006, label: geography} + - {column: D, row: 6768, expected_value: All persons, label: sex} + - {column: E, row: 6768, expected_value: Employee, label: employment type} + - {column: J, row: 6768, expected_value: Value, label: measure} + - {column: L, row: 6769, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6699 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6699, expected_value: E12000006, label: geography} + - {column: D, row: 6699, expected_value: All persons, label: sex} + - {column: E, row: 6699, expected_value: Employee, label: employment type} + - {column: J, row: 6699, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6701 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6701, expected_value: E12000006, label: geography} + - {column: D, row: 6701, expected_value: All persons, label: sex} + - {column: E, row: 6701, expected_value: Employee, label: employment type} + - {column: J, row: 6701, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6703 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6703, expected_value: E12000006, label: geography} + - {column: D, row: 6703, expected_value: All persons, label: sex} + - {column: E, row: 6703, expected_value: Employee, label: employment type} + - {column: J, row: 6703, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6705 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6705, expected_value: E12000006, label: geography} + - {column: D, row: 6705, expected_value: All persons, label: sex} + - {column: E, row: 6705, expected_value: Employee, label: employment type} + - {column: J, row: 6705, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6707 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6707, expected_value: E12000006, label: geography} + - {column: D, row: 6707, expected_value: All persons, label: sex} + - {column: E, row: 6707, expected_value: Employee, label: employment type} + - {column: J, row: 6707, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6709 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6709, expected_value: E12000006, label: geography} + - {column: D, row: 6709, expected_value: All persons, label: sex} + - {column: E, row: 6709, expected_value: Employee, label: employment type} + - {column: J, row: 6709, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6711 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6711, expected_value: E12000006, label: geography} + - {column: D, row: 6711, expected_value: All persons, label: sex} + - {column: E, row: 6711, expected_value: Employee, label: employment type} + - {column: J, row: 6711, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6713 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6713, expected_value: E12000006, label: geography} + - {column: D, row: 6713, expected_value: All persons, label: sex} + - {column: E, row: 6713, expected_value: Employee, label: employment type} + - {column: J, row: 6713, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6715 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6715, expected_value: E12000006, label: geography} + - {column: D, row: 6715, expected_value: All persons, label: sex} + - {column: E, row: 6715, expected_value: Employee, label: employment type} + - {column: J, row: 6715, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6717 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6717, expected_value: E12000006, label: geography} + - {column: D, row: 6717, expected_value: All persons, label: sex} + - {column: E, row: 6717, expected_value: Employee, label: employment type} + - {column: J, row: 6717, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6719 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6719, expected_value: E12000006, label: geography} + - {column: D, row: 6719, expected_value: All persons, label: sex} + - {column: E, row: 6719, expected_value: Employee, label: employment type} + - {column: J, row: 6719, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6721 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6721, expected_value: E12000006, label: geography} + - {column: D, row: 6721, expected_value: All persons, label: sex} + - {column: E, row: 6721, expected_value: Employee, label: employment type} + - {column: J, row: 6721, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6723 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6723, expected_value: E12000006, label: geography} + - {column: D, row: 6723, expected_value: All persons, label: sex} + - {column: E, row: 6723, expected_value: Employee, label: employment type} + - {column: J, row: 6723, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6725 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6725, expected_value: E12000006, label: geography} + - {column: D, row: 6725, expected_value: All persons, label: sex} + - {column: E, row: 6725, expected_value: Employee, label: employment type} + - {column: J, row: 6725, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6727 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6727, expected_value: E12000006, label: geography} + - {column: D, row: 6727, expected_value: All persons, label: sex} + - {column: E, row: 6727, expected_value: Employee, label: employment type} + - {column: J, row: 6727, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6729 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6729, expected_value: E12000006, label: geography} + - {column: D, row: 6729, expected_value: All persons, label: sex} + - {column: E, row: 6729, expected_value: Employee, label: employment type} + - {column: J, row: 6729, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6731 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6731, expected_value: E12000006, label: geography} + - {column: D, row: 6731, expected_value: All persons, label: sex} + - {column: E, row: 6731, expected_value: Employee, label: employment type} + - {column: J, row: 6731, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6733 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6733, expected_value: E12000006, label: geography} + - {column: D, row: 6733, expected_value: All persons, label: sex} + - {column: E, row: 6733, expected_value: Employee, label: employment type} + - {column: J, row: 6733, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6735 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6735, expected_value: E12000006, label: geography} + - {column: D, row: 6735, expected_value: All persons, label: sex} + - {column: E, row: 6735, expected_value: Employee, label: employment type} + - {column: J, row: 6735, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6737 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6737, expected_value: E12000006, label: geography} + - {column: D, row: 6737, expected_value: All persons, label: sex} + - {column: E, row: 6737, expected_value: Employee, label: employment type} + - {column: J, row: 6737, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6739 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6739, expected_value: E12000006, label: geography} + - {column: D, row: 6739, expected_value: All persons, label: sex} + - {column: E, row: 6739, expected_value: Employee, label: employment type} + - {column: J, row: 6739, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6741 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6741, expected_value: E12000006, label: geography} + - {column: D, row: 6741, expected_value: All persons, label: sex} + - {column: E, row: 6741, expected_value: Employee, label: employment type} + - {column: J, row: 6741, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6743 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6743, expected_value: E12000006, label: geography} + - {column: D, row: 6743, expected_value: All persons, label: sex} + - {column: E, row: 6743, expected_value: Employee, label: employment type} + - {column: J, row: 6743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6745 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6745, expected_value: E12000006, label: geography} + - {column: D, row: 6745, expected_value: All persons, label: sex} + - {column: E, row: 6745, expected_value: Employee, label: employment type} + - {column: J, row: 6745, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6747 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6747, expected_value: E12000006, label: geography} + - {column: D, row: 6747, expected_value: All persons, label: sex} + - {column: E, row: 6747, expected_value: Employee, label: employment type} + - {column: J, row: 6747, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6749 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6749, expected_value: E12000006, label: geography} + - {column: D, row: 6749, expected_value: All persons, label: sex} + - {column: E, row: 6749, expected_value: Employee, label: employment type} + - {column: J, row: 6749, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6753 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6753, expected_value: E12000006, label: geography} + - {column: D, row: 6753, expected_value: All persons, label: sex} + - {column: E, row: 6753, expected_value: Employee, label: employment type} + - {column: J, row: 6753, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6755 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6755, expected_value: E12000006, label: geography} + - {column: D, row: 6755, expected_value: All persons, label: sex} + - {column: E, row: 6755, expected_value: Employee, label: employment type} + - {column: J, row: 6755, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6757 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6757, expected_value: E12000006, label: geography} + - {column: D, row: 6757, expected_value: All persons, label: sex} + - {column: E, row: 6757, expected_value: Employee, label: employment type} + - {column: J, row: 6757, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6759 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6759, expected_value: E12000006, label: geography} + - {column: D, row: 6759, expected_value: All persons, label: sex} + - {column: E, row: 6759, expected_value: Employee, label: employment type} + - {column: J, row: 6759, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6761 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6761, expected_value: E12000006, label: geography} + - {column: D, row: 6761, expected_value: All persons, label: sex} + - {column: E, row: 6761, expected_value: Employee, label: employment type} + - {column: J, row: 6761, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6763 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6763, expected_value: E12000006, label: geography} + - {column: D, row: 6763, expected_value: All persons, label: sex} + - {column: E, row: 6763, expected_value: Employee, label: employment type} + - {column: J, row: 6763, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6765 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6765, expected_value: E12000006, label: geography} + - {column: D, row: 6765, expected_value: All persons, label: sex} + - {column: E, row: 6765, expected_value: Employee, label: employment type} + - {column: J, row: 6765, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6767 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6767, expected_value: E12000006, label: geography} + - {column: D, row: 6767, expected_value: All persons, label: sex} + - {column: E, row: 6767, expected_value: Employee, label: employment type} + - {column: J, row: 6767, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6769 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6769, expected_value: E12000006, label: geography} + - {column: D, row: 6769, expected_value: All persons, label: sex} + - {column: E, row: 6769, expected_value: Employee, label: employment type} + - {column: J, row: 6769, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6914 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6914, expected_value: E12000006, label: geography} + - {column: D, row: 6914, expected_value: All persons, label: sex} + - {column: E, row: 6914, expected_value: Self-employed, label: employment type} + - {column: J, row: 6914, expected_value: Value, label: measure} + - {column: L, row: 6915, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6916 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6916, expected_value: E12000006, label: geography} + - {column: D, row: 6916, expected_value: All persons, label: sex} + - {column: E, row: 6916, expected_value: Self-employed, label: employment type} + - {column: J, row: 6916, expected_value: Value, label: measure} + - {column: L, row: 6917, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6918 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6918, expected_value: E12000006, label: geography} + - {column: D, row: 6918, expected_value: All persons, label: sex} + - {column: E, row: 6918, expected_value: Self-employed, label: employment type} + - {column: J, row: 6918, expected_value: Value, label: measure} + - {column: L, row: 6919, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6920 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6920, expected_value: E12000006, label: geography} + - {column: D, row: 6920, expected_value: All persons, label: sex} + - {column: E, row: 6920, expected_value: Self-employed, label: employment type} + - {column: J, row: 6920, expected_value: Value, label: measure} + - {column: L, row: 6921, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6922 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6922, expected_value: E12000006, label: geography} + - {column: D, row: 6922, expected_value: All persons, label: sex} + - {column: E, row: 6922, expected_value: Self-employed, label: employment type} + - {column: J, row: 6922, expected_value: Value, label: measure} + - {column: L, row: 6923, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6924 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6924, expected_value: E12000006, label: geography} + - {column: D, row: 6924, expected_value: All persons, label: sex} + - {column: E, row: 6924, expected_value: Self-employed, label: employment type} + - {column: J, row: 6924, expected_value: Value, label: measure} + - {column: L, row: 6925, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6926 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6926, expected_value: E12000006, label: geography} + - {column: D, row: 6926, expected_value: All persons, label: sex} + - {column: E, row: 6926, expected_value: Self-employed, label: employment type} + - {column: J, row: 6926, expected_value: Value, label: measure} + - {column: L, row: 6927, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6928 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6928, expected_value: E12000006, label: geography} + - {column: D, row: 6928, expected_value: All persons, label: sex} + - {column: E, row: 6928, expected_value: Self-employed, label: employment type} + - {column: J, row: 6928, expected_value: Value, label: measure} + - {column: L, row: 6929, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6930 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6930, expected_value: E12000006, label: geography} + - {column: D, row: 6930, expected_value: All persons, label: sex} + - {column: E, row: 6930, expected_value: Self-employed, label: employment type} + - {column: J, row: 6930, expected_value: Value, label: measure} + - {column: L, row: 6931, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6932 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6932, expected_value: E12000006, label: geography} + - {column: D, row: 6932, expected_value: All persons, label: sex} + - {column: E, row: 6932, expected_value: Self-employed, label: employment type} + - {column: J, row: 6932, expected_value: Value, label: measure} + - {column: L, row: 6933, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6934 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6934, expected_value: E12000006, label: geography} + - {column: D, row: 6934, expected_value: All persons, label: sex} + - {column: E, row: 6934, expected_value: Self-employed, label: employment type} + - {column: J, row: 6934, expected_value: Value, label: measure} + - {column: L, row: 6935, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6936 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6936, expected_value: E12000006, label: geography} + - {column: D, row: 6936, expected_value: All persons, label: sex} + - {column: E, row: 6936, expected_value: Self-employed, label: employment type} + - {column: J, row: 6936, expected_value: Value, label: measure} + - {column: L, row: 6937, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6938 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6938, expected_value: E12000006, label: geography} + - {column: D, row: 6938, expected_value: All persons, label: sex} + - {column: E, row: 6938, expected_value: Self-employed, label: employment type} + - {column: J, row: 6938, expected_value: Value, label: measure} + - {column: L, row: 6939, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6940 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6940, expected_value: E12000006, label: geography} + - {column: D, row: 6940, expected_value: All persons, label: sex} + - {column: E, row: 6940, expected_value: Self-employed, label: employment type} + - {column: J, row: 6940, expected_value: Value, label: measure} + - {column: L, row: 6941, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6942 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6942, expected_value: E12000006, label: geography} + - {column: D, row: 6942, expected_value: All persons, label: sex} + - {column: E, row: 6942, expected_value: Self-employed, label: employment type} + - {column: J, row: 6942, expected_value: Value, label: measure} + - {column: L, row: 6943, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6944 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6944, expected_value: E12000006, label: geography} + - {column: D, row: 6944, expected_value: All persons, label: sex} + - {column: E, row: 6944, expected_value: Self-employed, label: employment type} + - {column: J, row: 6944, expected_value: Value, label: measure} + - {column: L, row: 6945, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6946 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6946, expected_value: E12000006, label: geography} + - {column: D, row: 6946, expected_value: All persons, label: sex} + - {column: E, row: 6946, expected_value: Self-employed, label: employment type} + - {column: J, row: 6946, expected_value: Value, label: measure} + - {column: L, row: 6947, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6948 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6948, expected_value: E12000006, label: geography} + - {column: D, row: 6948, expected_value: All persons, label: sex} + - {column: E, row: 6948, expected_value: Self-employed, label: employment type} + - {column: J, row: 6948, expected_value: Value, label: measure} + - {column: L, row: 6949, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6950 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6950, expected_value: E12000006, label: geography} + - {column: D, row: 6950, expected_value: All persons, label: sex} + - {column: E, row: 6950, expected_value: Self-employed, label: employment type} + - {column: J, row: 6950, expected_value: Value, label: measure} + - {column: L, row: 6951, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6952 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6952, expected_value: E12000006, label: geography} + - {column: D, row: 6952, expected_value: All persons, label: sex} + - {column: E, row: 6952, expected_value: Self-employed, label: employment type} + - {column: J, row: 6952, expected_value: Value, label: measure} + - {column: L, row: 6953, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6954 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6954, expected_value: E12000006, label: geography} + - {column: D, row: 6954, expected_value: All persons, label: sex} + - {column: E, row: 6954, expected_value: Self-employed, label: employment type} + - {column: J, row: 6954, expected_value: Value, label: measure} + - {column: L, row: 6955, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6956 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6956, expected_value: E12000006, label: geography} + - {column: D, row: 6956, expected_value: All persons, label: sex} + - {column: E, row: 6956, expected_value: Self-employed, label: employment type} + - {column: J, row: 6956, expected_value: Value, label: measure} + - {column: L, row: 6957, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6958 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6958, expected_value: E12000006, label: geography} + - {column: D, row: 6958, expected_value: All persons, label: sex} + - {column: E, row: 6958, expected_value: Self-employed, label: employment type} + - {column: J, row: 6958, expected_value: Value, label: measure} + - {column: L, row: 6959, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6960 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6960, expected_value: E12000006, label: geography} + - {column: D, row: 6960, expected_value: All persons, label: sex} + - {column: E, row: 6960, expected_value: Self-employed, label: employment type} + - {column: J, row: 6960, expected_value: Value, label: measure} + - {column: L, row: 6961, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6962 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6962, expected_value: E12000006, label: geography} + - {column: D, row: 6962, expected_value: All persons, label: sex} + - {column: E, row: 6962, expected_value: Self-employed, label: employment type} + - {column: J, row: 6962, expected_value: Value, label: measure} + - {column: L, row: 6963, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6964 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6964, expected_value: E12000006, label: geography} + - {column: D, row: 6964, expected_value: All persons, label: sex} + - {column: E, row: 6964, expected_value: Self-employed, label: employment type} + - {column: J, row: 6964, expected_value: Value, label: measure} + - {column: L, row: 6965, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6968 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6968, expected_value: E12000006, label: geography} + - {column: D, row: 6968, expected_value: All persons, label: sex} + - {column: E, row: 6968, expected_value: Self-employed, label: employment type} + - {column: J, row: 6968, expected_value: Value, label: measure} + - {column: L, row: 6969, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6970 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6970, expected_value: E12000006, label: geography} + - {column: D, row: 6970, expected_value: All persons, label: sex} + - {column: E, row: 6970, expected_value: Self-employed, label: employment type} + - {column: J, row: 6970, expected_value: Value, label: measure} + - {column: L, row: 6971, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6972 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6972, expected_value: E12000006, label: geography} + - {column: D, row: 6972, expected_value: All persons, label: sex} + - {column: E, row: 6972, expected_value: Self-employed, label: employment type} + - {column: J, row: 6972, expected_value: Value, label: measure} + - {column: L, row: 6973, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6974 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6974, expected_value: E12000006, label: geography} + - {column: D, row: 6974, expected_value: All persons, label: sex} + - {column: E, row: 6974, expected_value: Self-employed, label: employment type} + - {column: J, row: 6974, expected_value: Value, label: measure} + - {column: L, row: 6975, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6976 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6976, expected_value: E12000006, label: geography} + - {column: D, row: 6976, expected_value: All persons, label: sex} + - {column: E, row: 6976, expected_value: Self-employed, label: employment type} + - {column: J, row: 6976, expected_value: Value, label: measure} + - {column: L, row: 6977, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6978 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6978, expected_value: E12000006, label: geography} + - {column: D, row: 6978, expected_value: All persons, label: sex} + - {column: E, row: 6978, expected_value: Self-employed, label: employment type} + - {column: J, row: 6978, expected_value: Value, label: measure} + - {column: L, row: 6979, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6980 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6980, expected_value: E12000006, label: geography} + - {column: D, row: 6980, expected_value: All persons, label: sex} + - {column: E, row: 6980, expected_value: Self-employed, label: employment type} + - {column: J, row: 6980, expected_value: Value, label: measure} + - {column: L, row: 6981, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6982 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6982, expected_value: E12000006, label: geography} + - {column: D, row: 6982, expected_value: All persons, label: sex} + - {column: E, row: 6982, expected_value: Self-employed, label: employment type} + - {column: J, row: 6982, expected_value: Value, label: measure} + - {column: L, row: 6983, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6984 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6984, expected_value: E12000006, label: geography} + - {column: D, row: 6984, expected_value: All persons, label: sex} + - {column: E, row: 6984, expected_value: Self-employed, label: employment type} + - {column: J, row: 6984, expected_value: Value, label: measure} + - {column: L, row: 6985, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6915 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6915, expected_value: E12000006, label: geography} + - {column: D, row: 6915, expected_value: All persons, label: sex} + - {column: E, row: 6915, expected_value: Self-employed, label: employment type} + - {column: J, row: 6915, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6917 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6917, expected_value: E12000006, label: geography} + - {column: D, row: 6917, expected_value: All persons, label: sex} + - {column: E, row: 6917, expected_value: Self-employed, label: employment type} + - {column: J, row: 6917, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6919 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6919, expected_value: E12000006, label: geography} + - {column: D, row: 6919, expected_value: All persons, label: sex} + - {column: E, row: 6919, expected_value: Self-employed, label: employment type} + - {column: J, row: 6919, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6921 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6921, expected_value: E12000006, label: geography} + - {column: D, row: 6921, expected_value: All persons, label: sex} + - {column: E, row: 6921, expected_value: Self-employed, label: employment type} + - {column: J, row: 6921, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6923 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6923, expected_value: E12000006, label: geography} + - {column: D, row: 6923, expected_value: All persons, label: sex} + - {column: E, row: 6923, expected_value: Self-employed, label: employment type} + - {column: J, row: 6923, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6925 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6925, expected_value: E12000006, label: geography} + - {column: D, row: 6925, expected_value: All persons, label: sex} + - {column: E, row: 6925, expected_value: Self-employed, label: employment type} + - {column: J, row: 6925, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6927 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6927, expected_value: E12000006, label: geography} + - {column: D, row: 6927, expected_value: All persons, label: sex} + - {column: E, row: 6927, expected_value: Self-employed, label: employment type} + - {column: J, row: 6927, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6929 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6929, expected_value: E12000006, label: geography} + - {column: D, row: 6929, expected_value: All persons, label: sex} + - {column: E, row: 6929, expected_value: Self-employed, label: employment type} + - {column: J, row: 6929, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6931 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6931, expected_value: E12000006, label: geography} + - {column: D, row: 6931, expected_value: All persons, label: sex} + - {column: E, row: 6931, expected_value: Self-employed, label: employment type} + - {column: J, row: 6931, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6933 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6933, expected_value: E12000006, label: geography} + - {column: D, row: 6933, expected_value: All persons, label: sex} + - {column: E, row: 6933, expected_value: Self-employed, label: employment type} + - {column: J, row: 6933, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6937 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6937, expected_value: E12000006, label: geography} + - {column: D, row: 6937, expected_value: All persons, label: sex} + - {column: E, row: 6937, expected_value: Self-employed, label: employment type} + - {column: J, row: 6937, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6941 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6941, expected_value: E12000006, label: geography} + - {column: D, row: 6941, expected_value: All persons, label: sex} + - {column: E, row: 6941, expected_value: Self-employed, label: employment type} + - {column: J, row: 6941, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6943 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6943, expected_value: E12000006, label: geography} + - {column: D, row: 6943, expected_value: All persons, label: sex} + - {column: E, row: 6943, expected_value: Self-employed, label: employment type} + - {column: J, row: 6943, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6945 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6945, expected_value: E12000006, label: geography} + - {column: D, row: 6945, expected_value: All persons, label: sex} + - {column: E, row: 6945, expected_value: Self-employed, label: employment type} + - {column: J, row: 6945, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6947 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6947, expected_value: E12000006, label: geography} + - {column: D, row: 6947, expected_value: All persons, label: sex} + - {column: E, row: 6947, expected_value: Self-employed, label: employment type} + - {column: J, row: 6947, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6951 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6951, expected_value: E12000006, label: geography} + - {column: D, row: 6951, expected_value: All persons, label: sex} + - {column: E, row: 6951, expected_value: Self-employed, label: employment type} + - {column: J, row: 6951, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6953 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6953, expected_value: E12000006, label: geography} + - {column: D, row: 6953, expected_value: All persons, label: sex} + - {column: E, row: 6953, expected_value: Self-employed, label: employment type} + - {column: J, row: 6953, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6955 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6955, expected_value: E12000006, label: geography} + - {column: D, row: 6955, expected_value: All persons, label: sex} + - {column: E, row: 6955, expected_value: Self-employed, label: employment type} + - {column: J, row: 6955, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6957 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6957, expected_value: E12000006, label: geography} + - {column: D, row: 6957, expected_value: All persons, label: sex} + - {column: E, row: 6957, expected_value: Self-employed, label: employment type} + - {column: J, row: 6957, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6959 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6959, expected_value: E12000006, label: geography} + - {column: D, row: 6959, expected_value: All persons, label: sex} + - {column: E, row: 6959, expected_value: Self-employed, label: employment type} + - {column: J, row: 6959, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6961 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6961, expected_value: E12000006, label: geography} + - {column: D, row: 6961, expected_value: All persons, label: sex} + - {column: E, row: 6961, expected_value: Self-employed, label: employment type} + - {column: J, row: 6961, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6963 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6963, expected_value: E12000006, label: geography} + - {column: D, row: 6963, expected_value: All persons, label: sex} + - {column: E, row: 6963, expected_value: Self-employed, label: employment type} + - {column: J, row: 6963, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6965 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6965, expected_value: E12000006, label: geography} + - {column: D, row: 6965, expected_value: All persons, label: sex} + - {column: E, row: 6965, expected_value: Self-employed, label: employment type} + - {column: J, row: 6965, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6969 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6969, expected_value: E12000006, label: geography} + - {column: D, row: 6969, expected_value: All persons, label: sex} + - {column: E, row: 6969, expected_value: Self-employed, label: employment type} + - {column: J, row: 6969, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6971 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6971, expected_value: E12000006, label: geography} + - {column: D, row: 6971, expected_value: All persons, label: sex} + - {column: E, row: 6971, expected_value: Self-employed, label: employment type} + - {column: J, row: 6971, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6975 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6975, expected_value: E12000006, label: geography} + - {column: D, row: 6975, expected_value: All persons, label: sex} + - {column: E, row: 6975, expected_value: Self-employed, label: employment type} + - {column: J, row: 6975, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6977 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6977, expected_value: E12000006, label: geography} + - {column: D, row: 6977, expected_value: All persons, label: sex} + - {column: E, row: 6977, expected_value: Self-employed, label: employment type} + - {column: J, row: 6977, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6979 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6979, expected_value: E12000006, label: geography} + - {column: D, row: 6979, expected_value: All persons, label: sex} + - {column: E, row: 6979, expected_value: Self-employed, label: employment type} + - {column: J, row: 6979, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6981 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6981, expected_value: E12000006, label: geography} + - {column: D, row: 6981, expected_value: All persons, label: sex} + - {column: E, row: 6981, expected_value: Self-employed, label: employment type} + - {column: J, row: 6981, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6983 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6983, expected_value: E12000006, label: geography} + - {column: D, row: 6983, expected_value: All persons, label: sex} + - {column: E, row: 6983, expected_value: Self-employed, label: employment type} + - {column: J, row: 6983, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6985 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6985, expected_value: E12000006, label: geography} + - {column: D, row: 6985, expected_value: All persons, label: sex} + - {column: E, row: 6985, expected_value: Self-employed, label: employment type} + - {column: J, row: 6985, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6554 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6554, expected_value: E12000006, label: geography} + - {column: D, row: 6554, expected_value: Males, label: sex} + - {column: E, row: 6554, expected_value: Total, label: employment type} + - {column: J, row: 6554, expected_value: Value, label: measure} + - {column: L, row: 6555, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6556 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6556, expected_value: E12000006, label: geography} + - {column: D, row: 6556, expected_value: Males, label: sex} + - {column: E, row: 6556, expected_value: Total, label: employment type} + - {column: J, row: 6556, expected_value: Value, label: measure} + - {column: L, row: 6557, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6558 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6558, expected_value: E12000006, label: geography} + - {column: D, row: 6558, expected_value: Males, label: sex} + - {column: E, row: 6558, expected_value: Total, label: employment type} + - {column: J, row: 6558, expected_value: Value, label: measure} + - {column: L, row: 6559, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6560 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6560, expected_value: E12000006, label: geography} + - {column: D, row: 6560, expected_value: Males, label: sex} + - {column: E, row: 6560, expected_value: Total, label: employment type} + - {column: J, row: 6560, expected_value: Value, label: measure} + - {column: L, row: 6561, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6562 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6562, expected_value: E12000006, label: geography} + - {column: D, row: 6562, expected_value: Males, label: sex} + - {column: E, row: 6562, expected_value: Total, label: employment type} + - {column: J, row: 6562, expected_value: Value, label: measure} + - {column: L, row: 6563, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6564 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6564, expected_value: E12000006, label: geography} + - {column: D, row: 6564, expected_value: Males, label: sex} + - {column: E, row: 6564, expected_value: Total, label: employment type} + - {column: J, row: 6564, expected_value: Value, label: measure} + - {column: L, row: 6565, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6566 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6566, expected_value: E12000006, label: geography} + - {column: D, row: 6566, expected_value: Males, label: sex} + - {column: E, row: 6566, expected_value: Total, label: employment type} + - {column: J, row: 6566, expected_value: Value, label: measure} + - {column: L, row: 6567, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6568 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6568, expected_value: E12000006, label: geography} + - {column: D, row: 6568, expected_value: Males, label: sex} + - {column: E, row: 6568, expected_value: Total, label: employment type} + - {column: J, row: 6568, expected_value: Value, label: measure} + - {column: L, row: 6569, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6570 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6570, expected_value: E12000006, label: geography} + - {column: D, row: 6570, expected_value: Males, label: sex} + - {column: E, row: 6570, expected_value: Total, label: employment type} + - {column: J, row: 6570, expected_value: Value, label: measure} + - {column: L, row: 6571, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6572 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6572, expected_value: E12000006, label: geography} + - {column: D, row: 6572, expected_value: Males, label: sex} + - {column: E, row: 6572, expected_value: Total, label: employment type} + - {column: J, row: 6572, expected_value: Value, label: measure} + - {column: L, row: 6573, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6574 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6574, expected_value: E12000006, label: geography} + - {column: D, row: 6574, expected_value: Males, label: sex} + - {column: E, row: 6574, expected_value: Total, label: employment type} + - {column: J, row: 6574, expected_value: Value, label: measure} + - {column: L, row: 6575, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6576 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6576, expected_value: E12000006, label: geography} + - {column: D, row: 6576, expected_value: Males, label: sex} + - {column: E, row: 6576, expected_value: Total, label: employment type} + - {column: J, row: 6576, expected_value: Value, label: measure} + - {column: L, row: 6577, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6578 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6578, expected_value: E12000006, label: geography} + - {column: D, row: 6578, expected_value: Males, label: sex} + - {column: E, row: 6578, expected_value: Total, label: employment type} + - {column: J, row: 6578, expected_value: Value, label: measure} + - {column: L, row: 6579, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6580 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6580, expected_value: E12000006, label: geography} + - {column: D, row: 6580, expected_value: Males, label: sex} + - {column: E, row: 6580, expected_value: Total, label: employment type} + - {column: J, row: 6580, expected_value: Value, label: measure} + - {column: L, row: 6581, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6582 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6582, expected_value: E12000006, label: geography} + - {column: D, row: 6582, expected_value: Males, label: sex} + - {column: E, row: 6582, expected_value: Total, label: employment type} + - {column: J, row: 6582, expected_value: Value, label: measure} + - {column: L, row: 6583, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6584 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6584, expected_value: E12000006, label: geography} + - {column: D, row: 6584, expected_value: Males, label: sex} + - {column: E, row: 6584, expected_value: Total, label: employment type} + - {column: J, row: 6584, expected_value: Value, label: measure} + - {column: L, row: 6585, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6586 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6586, expected_value: E12000006, label: geography} + - {column: D, row: 6586, expected_value: Males, label: sex} + - {column: E, row: 6586, expected_value: Total, label: employment type} + - {column: J, row: 6586, expected_value: Value, label: measure} + - {column: L, row: 6587, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6588 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6588, expected_value: E12000006, label: geography} + - {column: D, row: 6588, expected_value: Males, label: sex} + - {column: E, row: 6588, expected_value: Total, label: employment type} + - {column: J, row: 6588, expected_value: Value, label: measure} + - {column: L, row: 6589, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6590 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6590, expected_value: E12000006, label: geography} + - {column: D, row: 6590, expected_value: Males, label: sex} + - {column: E, row: 6590, expected_value: Total, label: employment type} + - {column: J, row: 6590, expected_value: Value, label: measure} + - {column: L, row: 6591, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6592 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6592, expected_value: E12000006, label: geography} + - {column: D, row: 6592, expected_value: Males, label: sex} + - {column: E, row: 6592, expected_value: Total, label: employment type} + - {column: J, row: 6592, expected_value: Value, label: measure} + - {column: L, row: 6593, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6594 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6594, expected_value: E12000006, label: geography} + - {column: D, row: 6594, expected_value: Males, label: sex} + - {column: E, row: 6594, expected_value: Total, label: employment type} + - {column: J, row: 6594, expected_value: Value, label: measure} + - {column: L, row: 6595, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6596 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6596, expected_value: E12000006, label: geography} + - {column: D, row: 6596, expected_value: Males, label: sex} + - {column: E, row: 6596, expected_value: Total, label: employment type} + - {column: J, row: 6596, expected_value: Value, label: measure} + - {column: L, row: 6597, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6598 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6598, expected_value: E12000006, label: geography} + - {column: D, row: 6598, expected_value: Males, label: sex} + - {column: E, row: 6598, expected_value: Total, label: employment type} + - {column: J, row: 6598, expected_value: Value, label: measure} + - {column: L, row: 6599, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6600 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6600, expected_value: E12000006, label: geography} + - {column: D, row: 6600, expected_value: Males, label: sex} + - {column: E, row: 6600, expected_value: Total, label: employment type} + - {column: J, row: 6600, expected_value: Value, label: measure} + - {column: L, row: 6601, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6602 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6602, expected_value: E12000006, label: geography} + - {column: D, row: 6602, expected_value: Males, label: sex} + - {column: E, row: 6602, expected_value: Total, label: employment type} + - {column: J, row: 6602, expected_value: Value, label: measure} + - {column: L, row: 6603, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6604 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6604, expected_value: E12000006, label: geography} + - {column: D, row: 6604, expected_value: Males, label: sex} + - {column: E, row: 6604, expected_value: Total, label: employment type} + - {column: J, row: 6604, expected_value: Value, label: measure} + - {column: L, row: 6605, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6606 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6606, expected_value: E12000006, label: geography} + - {column: D, row: 6606, expected_value: Males, label: sex} + - {column: E, row: 6606, expected_value: Total, label: employment type} + - {column: J, row: 6606, expected_value: Value, label: measure} + - {column: L, row: 6607, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6608 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6608, expected_value: E12000006, label: geography} + - {column: D, row: 6608, expected_value: Males, label: sex} + - {column: E, row: 6608, expected_value: Total, label: employment type} + - {column: J, row: 6608, expected_value: Value, label: measure} + - {column: L, row: 6609, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6610 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6610, expected_value: E12000006, label: geography} + - {column: D, row: 6610, expected_value: Males, label: sex} + - {column: E, row: 6610, expected_value: Total, label: employment type} + - {column: J, row: 6610, expected_value: Value, label: measure} + - {column: L, row: 6611, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6612 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6612, expected_value: E12000006, label: geography} + - {column: D, row: 6612, expected_value: Males, label: sex} + - {column: E, row: 6612, expected_value: Total, label: employment type} + - {column: J, row: 6612, expected_value: Value, label: measure} + - {column: L, row: 6613, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6614 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6614, expected_value: E12000006, label: geography} + - {column: D, row: 6614, expected_value: Males, label: sex} + - {column: E, row: 6614, expected_value: Total, label: employment type} + - {column: J, row: 6614, expected_value: Value, label: measure} + - {column: L, row: 6615, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6616 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6616, expected_value: E12000006, label: geography} + - {column: D, row: 6616, expected_value: Males, label: sex} + - {column: E, row: 6616, expected_value: Total, label: employment type} + - {column: J, row: 6616, expected_value: Value, label: measure} + - {column: L, row: 6617, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6618 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6618, expected_value: E12000006, label: geography} + - {column: D, row: 6618, expected_value: Males, label: sex} + - {column: E, row: 6618, expected_value: Total, label: employment type} + - {column: J, row: 6618, expected_value: Value, label: measure} + - {column: L, row: 6619, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6620 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6620, expected_value: E12000006, label: geography} + - {column: D, row: 6620, expected_value: Males, label: sex} + - {column: E, row: 6620, expected_value: Total, label: employment type} + - {column: J, row: 6620, expected_value: Value, label: measure} + - {column: L, row: 6621, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6622 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6622, expected_value: E12000006, label: geography} + - {column: D, row: 6622, expected_value: Males, label: sex} + - {column: E, row: 6622, expected_value: Total, label: employment type} + - {column: J, row: 6622, expected_value: Value, label: measure} + - {column: L, row: 6623, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6624 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6624, expected_value: E12000006, label: geography} + - {column: D, row: 6624, expected_value: Males, label: sex} + - {column: E, row: 6624, expected_value: Total, label: employment type} + - {column: J, row: 6624, expected_value: Value, label: measure} + - {column: L, row: 6625, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6555 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6555, expected_value: E12000006, label: geography} + - {column: D, row: 6555, expected_value: Males, label: sex} + - {column: E, row: 6555, expected_value: Total, label: employment type} + - {column: J, row: 6555, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6557 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6557, expected_value: E12000006, label: geography} + - {column: D, row: 6557, expected_value: Males, label: sex} + - {column: E, row: 6557, expected_value: Total, label: employment type} + - {column: J, row: 6557, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6559 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6559, expected_value: E12000006, label: geography} + - {column: D, row: 6559, expected_value: Males, label: sex} + - {column: E, row: 6559, expected_value: Total, label: employment type} + - {column: J, row: 6559, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6561 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6561, expected_value: E12000006, label: geography} + - {column: D, row: 6561, expected_value: Males, label: sex} + - {column: E, row: 6561, expected_value: Total, label: employment type} + - {column: J, row: 6561, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6563 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6563, expected_value: E12000006, label: geography} + - {column: D, row: 6563, expected_value: Males, label: sex} + - {column: E, row: 6563, expected_value: Total, label: employment type} + - {column: J, row: 6563, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6565 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6565, expected_value: E12000006, label: geography} + - {column: D, row: 6565, expected_value: Males, label: sex} + - {column: E, row: 6565, expected_value: Total, label: employment type} + - {column: J, row: 6565, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6567 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6567, expected_value: E12000006, label: geography} + - {column: D, row: 6567, expected_value: Males, label: sex} + - {column: E, row: 6567, expected_value: Total, label: employment type} + - {column: J, row: 6567, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6569 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6569, expected_value: E12000006, label: geography} + - {column: D, row: 6569, expected_value: Males, label: sex} + - {column: E, row: 6569, expected_value: Total, label: employment type} + - {column: J, row: 6569, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6571 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6571, expected_value: E12000006, label: geography} + - {column: D, row: 6571, expected_value: Males, label: sex} + - {column: E, row: 6571, expected_value: Total, label: employment type} + - {column: J, row: 6571, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6573 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6573, expected_value: E12000006, label: geography} + - {column: D, row: 6573, expected_value: Males, label: sex} + - {column: E, row: 6573, expected_value: Total, label: employment type} + - {column: J, row: 6573, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6575 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6575, expected_value: E12000006, label: geography} + - {column: D, row: 6575, expected_value: Males, label: sex} + - {column: E, row: 6575, expected_value: Total, label: employment type} + - {column: J, row: 6575, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6577 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6577, expected_value: E12000006, label: geography} + - {column: D, row: 6577, expected_value: Males, label: sex} + - {column: E, row: 6577, expected_value: Total, label: employment type} + - {column: J, row: 6577, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6579 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6579, expected_value: E12000006, label: geography} + - {column: D, row: 6579, expected_value: Males, label: sex} + - {column: E, row: 6579, expected_value: Total, label: employment type} + - {column: J, row: 6579, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6581 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6581, expected_value: E12000006, label: geography} + - {column: D, row: 6581, expected_value: Males, label: sex} + - {column: E, row: 6581, expected_value: Total, label: employment type} + - {column: J, row: 6581, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6583 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6583, expected_value: E12000006, label: geography} + - {column: D, row: 6583, expected_value: Males, label: sex} + - {column: E, row: 6583, expected_value: Total, label: employment type} + - {column: J, row: 6583, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6585 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6585, expected_value: E12000006, label: geography} + - {column: D, row: 6585, expected_value: Males, label: sex} + - {column: E, row: 6585, expected_value: Total, label: employment type} + - {column: J, row: 6585, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6587 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6587, expected_value: E12000006, label: geography} + - {column: D, row: 6587, expected_value: Males, label: sex} + - {column: E, row: 6587, expected_value: Total, label: employment type} + - {column: J, row: 6587, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6591 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6591, expected_value: E12000006, label: geography} + - {column: D, row: 6591, expected_value: Males, label: sex} + - {column: E, row: 6591, expected_value: Total, label: employment type} + - {column: J, row: 6591, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6593 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6593, expected_value: E12000006, label: geography} + - {column: D, row: 6593, expected_value: Males, label: sex} + - {column: E, row: 6593, expected_value: Total, label: employment type} + - {column: J, row: 6593, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6595 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6595, expected_value: E12000006, label: geography} + - {column: D, row: 6595, expected_value: Males, label: sex} + - {column: E, row: 6595, expected_value: Total, label: employment type} + - {column: J, row: 6595, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6597 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6597, expected_value: E12000006, label: geography} + - {column: D, row: 6597, expected_value: Males, label: sex} + - {column: E, row: 6597, expected_value: Total, label: employment type} + - {column: J, row: 6597, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6599 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6599, expected_value: E12000006, label: geography} + - {column: D, row: 6599, expected_value: Males, label: sex} + - {column: E, row: 6599, expected_value: Total, label: employment type} + - {column: J, row: 6599, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6601 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6601, expected_value: E12000006, label: geography} + - {column: D, row: 6601, expected_value: Males, label: sex} + - {column: E, row: 6601, expected_value: Total, label: employment type} + - {column: J, row: 6601, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6603 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6603, expected_value: E12000006, label: geography} + - {column: D, row: 6603, expected_value: Males, label: sex} + - {column: E, row: 6603, expected_value: Total, label: employment type} + - {column: J, row: 6603, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6605 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6605, expected_value: E12000006, label: geography} + - {column: D, row: 6605, expected_value: Males, label: sex} + - {column: E, row: 6605, expected_value: Total, label: employment type} + - {column: J, row: 6605, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6609 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6609, expected_value: E12000006, label: geography} + - {column: D, row: 6609, expected_value: Males, label: sex} + - {column: E, row: 6609, expected_value: Total, label: employment type} + - {column: J, row: 6609, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6611 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6611, expected_value: E12000006, label: geography} + - {column: D, row: 6611, expected_value: Males, label: sex} + - {column: E, row: 6611, expected_value: Total, label: employment type} + - {column: J, row: 6611, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6613 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6613, expected_value: E12000006, label: geography} + - {column: D, row: 6613, expected_value: Males, label: sex} + - {column: E, row: 6613, expected_value: Total, label: employment type} + - {column: J, row: 6613, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6615 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6615, expected_value: E12000006, label: geography} + - {column: D, row: 6615, expected_value: Males, label: sex} + - {column: E, row: 6615, expected_value: Total, label: employment type} + - {column: J, row: 6615, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6617 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6617, expected_value: E12000006, label: geography} + - {column: D, row: 6617, expected_value: Males, label: sex} + - {column: E, row: 6617, expected_value: Total, label: employment type} + - {column: J, row: 6617, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6619 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6619, expected_value: E12000006, label: geography} + - {column: D, row: 6619, expected_value: Males, label: sex} + - {column: E, row: 6619, expected_value: Total, label: employment type} + - {column: J, row: 6619, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6621 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6621, expected_value: E12000006, label: geography} + - {column: D, row: 6621, expected_value: Males, label: sex} + - {column: E, row: 6621, expected_value: Total, label: employment type} + - {column: J, row: 6621, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6623 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6623, expected_value: E12000006, label: geography} + - {column: D, row: 6623, expected_value: Males, label: sex} + - {column: E, row: 6623, expected_value: Total, label: employment type} + - {column: J, row: 6623, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6625 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6625, expected_value: E12000006, label: geography} + - {column: D, row: 6625, expected_value: Males, label: sex} + - {column: E, row: 6625, expected_value: Total, label: employment type} + - {column: J, row: 6625, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6770 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6770, expected_value: E12000006, label: geography} + - {column: D, row: 6770, expected_value: Males, label: sex} + - {column: E, row: 6770, expected_value: Employee, label: employment type} + - {column: J, row: 6770, expected_value: Value, label: measure} + - {column: L, row: 6771, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6772 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6772, expected_value: E12000006, label: geography} + - {column: D, row: 6772, expected_value: Males, label: sex} + - {column: E, row: 6772, expected_value: Employee, label: employment type} + - {column: J, row: 6772, expected_value: Value, label: measure} + - {column: L, row: 6773, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6774 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6774, expected_value: E12000006, label: geography} + - {column: D, row: 6774, expected_value: Males, label: sex} + - {column: E, row: 6774, expected_value: Employee, label: employment type} + - {column: J, row: 6774, expected_value: Value, label: measure} + - {column: L, row: 6775, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6776 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6776, expected_value: E12000006, label: geography} + - {column: D, row: 6776, expected_value: Males, label: sex} + - {column: E, row: 6776, expected_value: Employee, label: employment type} + - {column: J, row: 6776, expected_value: Value, label: measure} + - {column: L, row: 6777, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6778 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6778, expected_value: E12000006, label: geography} + - {column: D, row: 6778, expected_value: Males, label: sex} + - {column: E, row: 6778, expected_value: Employee, label: employment type} + - {column: J, row: 6778, expected_value: Value, label: measure} + - {column: L, row: 6779, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6780 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6780, expected_value: E12000006, label: geography} + - {column: D, row: 6780, expected_value: Males, label: sex} + - {column: E, row: 6780, expected_value: Employee, label: employment type} + - {column: J, row: 6780, expected_value: Value, label: measure} + - {column: L, row: 6781, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6782 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6782, expected_value: E12000006, label: geography} + - {column: D, row: 6782, expected_value: Males, label: sex} + - {column: E, row: 6782, expected_value: Employee, label: employment type} + - {column: J, row: 6782, expected_value: Value, label: measure} + - {column: L, row: 6783, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6784 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6784, expected_value: E12000006, label: geography} + - {column: D, row: 6784, expected_value: Males, label: sex} + - {column: E, row: 6784, expected_value: Employee, label: employment type} + - {column: J, row: 6784, expected_value: Value, label: measure} + - {column: L, row: 6785, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6786 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6786, expected_value: E12000006, label: geography} + - {column: D, row: 6786, expected_value: Males, label: sex} + - {column: E, row: 6786, expected_value: Employee, label: employment type} + - {column: J, row: 6786, expected_value: Value, label: measure} + - {column: L, row: 6787, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6788 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6788, expected_value: E12000006, label: geography} + - {column: D, row: 6788, expected_value: Males, label: sex} + - {column: E, row: 6788, expected_value: Employee, label: employment type} + - {column: J, row: 6788, expected_value: Value, label: measure} + - {column: L, row: 6789, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6790 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6790, expected_value: E12000006, label: geography} + - {column: D, row: 6790, expected_value: Males, label: sex} + - {column: E, row: 6790, expected_value: Employee, label: employment type} + - {column: J, row: 6790, expected_value: Value, label: measure} + - {column: L, row: 6791, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6792 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6792, expected_value: E12000006, label: geography} + - {column: D, row: 6792, expected_value: Males, label: sex} + - {column: E, row: 6792, expected_value: Employee, label: employment type} + - {column: J, row: 6792, expected_value: Value, label: measure} + - {column: L, row: 6793, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6794 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6794, expected_value: E12000006, label: geography} + - {column: D, row: 6794, expected_value: Males, label: sex} + - {column: E, row: 6794, expected_value: Employee, label: employment type} + - {column: J, row: 6794, expected_value: Value, label: measure} + - {column: L, row: 6795, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6796 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6796, expected_value: E12000006, label: geography} + - {column: D, row: 6796, expected_value: Males, label: sex} + - {column: E, row: 6796, expected_value: Employee, label: employment type} + - {column: J, row: 6796, expected_value: Value, label: measure} + - {column: L, row: 6797, expected_value: G, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6798 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6798, expected_value: E12000006, label: geography} + - {column: D, row: 6798, expected_value: Males, label: sex} + - {column: E, row: 6798, expected_value: Employee, label: employment type} + - {column: J, row: 6798, expected_value: Value, label: measure} + - {column: L, row: 6799, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6800 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6800, expected_value: E12000006, label: geography} + - {column: D, row: 6800, expected_value: Males, label: sex} + - {column: E, row: 6800, expected_value: Employee, label: employment type} + - {column: J, row: 6800, expected_value: Value, label: measure} + - {column: L, row: 6801, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6802 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6802, expected_value: E12000006, label: geography} + - {column: D, row: 6802, expected_value: Males, label: sex} + - {column: E, row: 6802, expected_value: Employee, label: employment type} + - {column: J, row: 6802, expected_value: Value, label: measure} + - {column: L, row: 6803, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6804 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6804, expected_value: E12000006, label: geography} + - {column: D, row: 6804, expected_value: Males, label: sex} + - {column: E, row: 6804, expected_value: Employee, label: employment type} + - {column: J, row: 6804, expected_value: Value, label: measure} + - {column: L, row: 6805, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6806 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6806, expected_value: E12000006, label: geography} + - {column: D, row: 6806, expected_value: Males, label: sex} + - {column: E, row: 6806, expected_value: Employee, label: employment type} + - {column: J, row: 6806, expected_value: Value, label: measure} + - {column: L, row: 6807, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6808 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6808, expected_value: E12000006, label: geography} + - {column: D, row: 6808, expected_value: Males, label: sex} + - {column: E, row: 6808, expected_value: Employee, label: employment type} + - {column: J, row: 6808, expected_value: Value, label: measure} + - {column: L, row: 6809, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6810 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6810, expected_value: E12000006, label: geography} + - {column: D, row: 6810, expected_value: Males, label: sex} + - {column: E, row: 6810, expected_value: Employee, label: employment type} + - {column: J, row: 6810, expected_value: Value, label: measure} + - {column: L, row: 6811, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6812 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6812, expected_value: E12000006, label: geography} + - {column: D, row: 6812, expected_value: Males, label: sex} + - {column: E, row: 6812, expected_value: Employee, label: employment type} + - {column: J, row: 6812, expected_value: Value, label: measure} + - {column: L, row: 6813, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6814 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6814, expected_value: E12000006, label: geography} + - {column: D, row: 6814, expected_value: Males, label: sex} + - {column: E, row: 6814, expected_value: Employee, label: employment type} + - {column: J, row: 6814, expected_value: Value, label: measure} + - {column: L, row: 6815, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6816 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6816, expected_value: E12000006, label: geography} + - {column: D, row: 6816, expected_value: Males, label: sex} + - {column: E, row: 6816, expected_value: Employee, label: employment type} + - {column: J, row: 6816, expected_value: Value, label: measure} + - {column: L, row: 6817, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6818 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6818, expected_value: E12000006, label: geography} + - {column: D, row: 6818, expected_value: Males, label: sex} + - {column: E, row: 6818, expected_value: Employee, label: employment type} + - {column: J, row: 6818, expected_value: Value, label: measure} + - {column: L, row: 6819, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6820 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6820, expected_value: E12000006, label: geography} + - {column: D, row: 6820, expected_value: Males, label: sex} + - {column: E, row: 6820, expected_value: Employee, label: employment type} + - {column: J, row: 6820, expected_value: Value, label: measure} + - {column: L, row: 6821, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6822 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6822, expected_value: E12000006, label: geography} + - {column: D, row: 6822, expected_value: Males, label: sex} + - {column: E, row: 6822, expected_value: Employee, label: employment type} + - {column: J, row: 6822, expected_value: Value, label: measure} + - {column: L, row: 6823, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6824 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6824, expected_value: E12000006, label: geography} + - {column: D, row: 6824, expected_value: Males, label: sex} + - {column: E, row: 6824, expected_value: Employee, label: employment type} + - {column: J, row: 6824, expected_value: Value, label: measure} + - {column: L, row: 6825, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6826 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6826, expected_value: E12000006, label: geography} + - {column: D, row: 6826, expected_value: Males, label: sex} + - {column: E, row: 6826, expected_value: Employee, label: employment type} + - {column: J, row: 6826, expected_value: Value, label: measure} + - {column: L, row: 6827, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6828 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6828, expected_value: E12000006, label: geography} + - {column: D, row: 6828, expected_value: Males, label: sex} + - {column: E, row: 6828, expected_value: Employee, label: employment type} + - {column: J, row: 6828, expected_value: Value, label: measure} + - {column: L, row: 6829, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6830 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6830, expected_value: E12000006, label: geography} + - {column: D, row: 6830, expected_value: Males, label: sex} + - {column: E, row: 6830, expected_value: Employee, label: employment type} + - {column: J, row: 6830, expected_value: Value, label: measure} + - {column: L, row: 6831, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6832 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6832, expected_value: E12000006, label: geography} + - {column: D, row: 6832, expected_value: Males, label: sex} + - {column: E, row: 6832, expected_value: Employee, label: employment type} + - {column: J, row: 6832, expected_value: Value, label: measure} + - {column: L, row: 6833, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6834 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6834, expected_value: E12000006, label: geography} + - {column: D, row: 6834, expected_value: Males, label: sex} + - {column: E, row: 6834, expected_value: Employee, label: employment type} + - {column: J, row: 6834, expected_value: Value, label: measure} + - {column: L, row: 6835, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6836 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6836, expected_value: E12000006, label: geography} + - {column: D, row: 6836, expected_value: Males, label: sex} + - {column: E, row: 6836, expected_value: Employee, label: employment type} + - {column: J, row: 6836, expected_value: Value, label: measure} + - {column: L, row: 6837, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6838 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6838, expected_value: E12000006, label: geography} + - {column: D, row: 6838, expected_value: Males, label: sex} + - {column: E, row: 6838, expected_value: Employee, label: employment type} + - {column: J, row: 6838, expected_value: Value, label: measure} + - {column: L, row: 6839, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6840 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6840, expected_value: E12000006, label: geography} + - {column: D, row: 6840, expected_value: Males, label: sex} + - {column: E, row: 6840, expected_value: Employee, label: employment type} + - {column: J, row: 6840, expected_value: Value, label: measure} + - {column: L, row: 6841, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6771 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6771, expected_value: E12000006, label: geography} + - {column: D, row: 6771, expected_value: Males, label: sex} + - {column: E, row: 6771, expected_value: Employee, label: employment type} + - {column: J, row: 6771, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6773 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6773, expected_value: E12000006, label: geography} + - {column: D, row: 6773, expected_value: Males, label: sex} + - {column: E, row: 6773, expected_value: Employee, label: employment type} + - {column: J, row: 6773, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6775 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6775, expected_value: E12000006, label: geography} + - {column: D, row: 6775, expected_value: Males, label: sex} + - {column: E, row: 6775, expected_value: Employee, label: employment type} + - {column: J, row: 6775, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6777 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6777, expected_value: E12000006, label: geography} + - {column: D, row: 6777, expected_value: Males, label: sex} + - {column: E, row: 6777, expected_value: Employee, label: employment type} + - {column: J, row: 6777, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6779 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6779, expected_value: E12000006, label: geography} + - {column: D, row: 6779, expected_value: Males, label: sex} + - {column: E, row: 6779, expected_value: Employee, label: employment type} + - {column: J, row: 6779, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6781 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6781, expected_value: E12000006, label: geography} + - {column: D, row: 6781, expected_value: Males, label: sex} + - {column: E, row: 6781, expected_value: Employee, label: employment type} + - {column: J, row: 6781, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6783 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6783, expected_value: E12000006, label: geography} + - {column: D, row: 6783, expected_value: Males, label: sex} + - {column: E, row: 6783, expected_value: Employee, label: employment type} + - {column: J, row: 6783, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6785 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6785, expected_value: E12000006, label: geography} + - {column: D, row: 6785, expected_value: Males, label: sex} + - {column: E, row: 6785, expected_value: Employee, label: employment type} + - {column: J, row: 6785, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6787 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6787, expected_value: E12000006, label: geography} + - {column: D, row: 6787, expected_value: Males, label: sex} + - {column: E, row: 6787, expected_value: Employee, label: employment type} + - {column: J, row: 6787, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6789 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6789, expected_value: E12000006, label: geography} + - {column: D, row: 6789, expected_value: Males, label: sex} + - {column: E, row: 6789, expected_value: Employee, label: employment type} + - {column: J, row: 6789, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6791 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6791, expected_value: E12000006, label: geography} + - {column: D, row: 6791, expected_value: Males, label: sex} + - {column: E, row: 6791, expected_value: Employee, label: employment type} + - {column: J, row: 6791, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6793 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6793, expected_value: E12000006, label: geography} + - {column: D, row: 6793, expected_value: Males, label: sex} + - {column: E, row: 6793, expected_value: Employee, label: employment type} + - {column: J, row: 6793, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6795 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6795, expected_value: E12000006, label: geography} + - {column: D, row: 6795, expected_value: Males, label: sex} + - {column: E, row: 6795, expected_value: Employee, label: employment type} + - {column: J, row: 6795, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6799 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6799, expected_value: E12000006, label: geography} + - {column: D, row: 6799, expected_value: Males, label: sex} + - {column: E, row: 6799, expected_value: Employee, label: employment type} + - {column: J, row: 6799, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6801 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6801, expected_value: E12000006, label: geography} + - {column: D, row: 6801, expected_value: Males, label: sex} + - {column: E, row: 6801, expected_value: Employee, label: employment type} + - {column: J, row: 6801, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6803 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6803, expected_value: E12000006, label: geography} + - {column: D, row: 6803, expected_value: Males, label: sex} + - {column: E, row: 6803, expected_value: Employee, label: employment type} + - {column: J, row: 6803, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6807 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6807, expected_value: E12000006, label: geography} + - {column: D, row: 6807, expected_value: Males, label: sex} + - {column: E, row: 6807, expected_value: Employee, label: employment type} + - {column: J, row: 6807, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6809 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6809, expected_value: E12000006, label: geography} + - {column: D, row: 6809, expected_value: Males, label: sex} + - {column: E, row: 6809, expected_value: Employee, label: employment type} + - {column: J, row: 6809, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6811 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6811, expected_value: E12000006, label: geography} + - {column: D, row: 6811, expected_value: Males, label: sex} + - {column: E, row: 6811, expected_value: Employee, label: employment type} + - {column: J, row: 6811, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6813 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6813, expected_value: E12000006, label: geography} + - {column: D, row: 6813, expected_value: Males, label: sex} + - {column: E, row: 6813, expected_value: Employee, label: employment type} + - {column: J, row: 6813, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6815 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6815, expected_value: E12000006, label: geography} + - {column: D, row: 6815, expected_value: Males, label: sex} + - {column: E, row: 6815, expected_value: Employee, label: employment type} + - {column: J, row: 6815, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6817 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6817, expected_value: E12000006, label: geography} + - {column: D, row: 6817, expected_value: Males, label: sex} + - {column: E, row: 6817, expected_value: Employee, label: employment type} + - {column: J, row: 6817, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6819 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6819, expected_value: E12000006, label: geography} + - {column: D, row: 6819, expected_value: Males, label: sex} + - {column: E, row: 6819, expected_value: Employee, label: employment type} + - {column: J, row: 6819, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6821 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6821, expected_value: E12000006, label: geography} + - {column: D, row: 6821, expected_value: Males, label: sex} + - {column: E, row: 6821, expected_value: Employee, label: employment type} + - {column: J, row: 6821, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6825 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6825, expected_value: E12000006, label: geography} + - {column: D, row: 6825, expected_value: Males, label: sex} + - {column: E, row: 6825, expected_value: Employee, label: employment type} + - {column: J, row: 6825, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6827 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6827, expected_value: E12000006, label: geography} + - {column: D, row: 6827, expected_value: Males, label: sex} + - {column: E, row: 6827, expected_value: Employee, label: employment type} + - {column: J, row: 6827, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6829 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6829, expected_value: E12000006, label: geography} + - {column: D, row: 6829, expected_value: Males, label: sex} + - {column: E, row: 6829, expected_value: Employee, label: employment type} + - {column: J, row: 6829, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6831 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6831, expected_value: E12000006, label: geography} + - {column: D, row: 6831, expected_value: Males, label: sex} + - {column: E, row: 6831, expected_value: Employee, label: employment type} + - {column: J, row: 6831, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6833 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6833, expected_value: E12000006, label: geography} + - {column: D, row: 6833, expected_value: Males, label: sex} + - {column: E, row: 6833, expected_value: Employee, label: employment type} + - {column: J, row: 6833, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6835 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6835, expected_value: E12000006, label: geography} + - {column: D, row: 6835, expected_value: Males, label: sex} + - {column: E, row: 6835, expected_value: Employee, label: employment type} + - {column: J, row: 6835, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6837 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6837, expected_value: E12000006, label: geography} + - {column: D, row: 6837, expected_value: Males, label: sex} + - {column: E, row: 6837, expected_value: Employee, label: employment type} + - {column: J, row: 6837, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6839 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6839, expected_value: E12000006, label: geography} + - {column: D, row: 6839, expected_value: Males, label: sex} + - {column: E, row: 6839, expected_value: Employee, label: employment type} + - {column: J, row: 6839, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6841 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6841, expected_value: E12000006, label: geography} + - {column: D, row: 6841, expected_value: Males, label: sex} + - {column: E, row: 6841, expected_value: Employee, label: employment type} + - {column: J, row: 6841, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6986 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6986, expected_value: E12000006, label: geography} + - {column: D, row: 6986, expected_value: Males, label: sex} + - {column: E, row: 6986, expected_value: Self-employed, label: employment type} + - {column: J, row: 6986, expected_value: Value, label: measure} + - {column: L, row: 6987, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6988 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6988, expected_value: E12000006, label: geography} + - {column: D, row: 6988, expected_value: Males, label: sex} + - {column: E, row: 6988, expected_value: Self-employed, label: employment type} + - {column: J, row: 6988, expected_value: Value, label: measure} + - {column: L, row: 6989, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6990 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6990, expected_value: E12000006, label: geography} + - {column: D, row: 6990, expected_value: Males, label: sex} + - {column: E, row: 6990, expected_value: Self-employed, label: employment type} + - {column: J, row: 6990, expected_value: Value, label: measure} + - {column: L, row: 6991, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6992 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6992, expected_value: E12000006, label: geography} + - {column: D, row: 6992, expected_value: Males, label: sex} + - {column: E, row: 6992, expected_value: Self-employed, label: employment type} + - {column: J, row: 6992, expected_value: Value, label: measure} + - {column: L, row: 6993, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6994 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6994, expected_value: E12000006, label: geography} + - {column: D, row: 6994, expected_value: Males, label: sex} + - {column: E, row: 6994, expected_value: Self-employed, label: employment type} + - {column: J, row: 6994, expected_value: Value, label: measure} + - {column: L, row: 6995, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6996 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6996, expected_value: E12000006, label: geography} + - {column: D, row: 6996, expected_value: Males, label: sex} + - {column: E, row: 6996, expected_value: Self-employed, label: employment type} + - {column: J, row: 6996, expected_value: Value, label: measure} + - {column: L, row: 6997, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6998 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6998, expected_value: E12000006, label: geography} + - {column: D, row: 6998, expected_value: Males, label: sex} + - {column: E, row: 6998, expected_value: Self-employed, label: employment type} + - {column: J, row: 6998, expected_value: Value, label: measure} + - {column: L, row: 6999, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7000 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7000, expected_value: E12000006, label: geography} + - {column: D, row: 7000, expected_value: Males, label: sex} + - {column: E, row: 7000, expected_value: Self-employed, label: employment type} + - {column: J, row: 7000, expected_value: Value, label: measure} + - {column: L, row: 7001, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7002 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7002, expected_value: E12000006, label: geography} + - {column: D, row: 7002, expected_value: Males, label: sex} + - {column: E, row: 7002, expected_value: Self-employed, label: employment type} + - {column: J, row: 7002, expected_value: Value, label: measure} + - {column: L, row: 7003, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7004 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7004, expected_value: E12000006, label: geography} + - {column: D, row: 7004, expected_value: Males, label: sex} + - {column: E, row: 7004, expected_value: Self-employed, label: employment type} + - {column: J, row: 7004, expected_value: Value, label: measure} + - {column: L, row: 7005, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7006 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7006, expected_value: E12000006, label: geography} + - {column: D, row: 7006, expected_value: Males, label: sex} + - {column: E, row: 7006, expected_value: Self-employed, label: employment type} + - {column: J, row: 7006, expected_value: Value, label: measure} + - {column: L, row: 7007, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7008 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7008, expected_value: E12000006, label: geography} + - {column: D, row: 7008, expected_value: Males, label: sex} + - {column: E, row: 7008, expected_value: Self-employed, label: employment type} + - {column: J, row: 7008, expected_value: Value, label: measure} + - {column: L, row: 7009, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7010 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7010, expected_value: E12000006, label: geography} + - {column: D, row: 7010, expected_value: Males, label: sex} + - {column: E, row: 7010, expected_value: Self-employed, label: employment type} + - {column: J, row: 7010, expected_value: Value, label: measure} + - {column: L, row: 7011, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7012 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7012, expected_value: E12000006, label: geography} + - {column: D, row: 7012, expected_value: Males, label: sex} + - {column: E, row: 7012, expected_value: Self-employed, label: employment type} + - {column: J, row: 7012, expected_value: Value, label: measure} + - {column: L, row: 7013, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7014 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7014, expected_value: E12000006, label: geography} + - {column: D, row: 7014, expected_value: Males, label: sex} + - {column: E, row: 7014, expected_value: Self-employed, label: employment type} + - {column: J, row: 7014, expected_value: Value, label: measure} + - {column: L, row: 7015, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7016 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7016, expected_value: E12000006, label: geography} + - {column: D, row: 7016, expected_value: Males, label: sex} + - {column: E, row: 7016, expected_value: Self-employed, label: employment type} + - {column: J, row: 7016, expected_value: Value, label: measure} + - {column: L, row: 7017, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7018 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7018, expected_value: E12000006, label: geography} + - {column: D, row: 7018, expected_value: Males, label: sex} + - {column: E, row: 7018, expected_value: Self-employed, label: employment type} + - {column: J, row: 7018, expected_value: Value, label: measure} + - {column: L, row: 7019, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7022 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7022, expected_value: E12000006, label: geography} + - {column: D, row: 7022, expected_value: Males, label: sex} + - {column: E, row: 7022, expected_value: Self-employed, label: employment type} + - {column: J, row: 7022, expected_value: Value, label: measure} + - {column: L, row: 7023, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7024 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7024, expected_value: E12000006, label: geography} + - {column: D, row: 7024, expected_value: Males, label: sex} + - {column: E, row: 7024, expected_value: Self-employed, label: employment type} + - {column: J, row: 7024, expected_value: Value, label: measure} + - {column: L, row: 7025, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7026 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7026, expected_value: E12000006, label: geography} + - {column: D, row: 7026, expected_value: Males, label: sex} + - {column: E, row: 7026, expected_value: Self-employed, label: employment type} + - {column: J, row: 7026, expected_value: Value, label: measure} + - {column: L, row: 7027, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7028 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7028, expected_value: E12000006, label: geography} + - {column: D, row: 7028, expected_value: Males, label: sex} + - {column: E, row: 7028, expected_value: Self-employed, label: employment type} + - {column: J, row: 7028, expected_value: Value, label: measure} + - {column: L, row: 7029, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7030 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7030, expected_value: E12000006, label: geography} + - {column: D, row: 7030, expected_value: Males, label: sex} + - {column: E, row: 7030, expected_value: Self-employed, label: employment type} + - {column: J, row: 7030, expected_value: Value, label: measure} + - {column: L, row: 7031, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7032 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7032, expected_value: E12000006, label: geography} + - {column: D, row: 7032, expected_value: Males, label: sex} + - {column: E, row: 7032, expected_value: Self-employed, label: employment type} + - {column: J, row: 7032, expected_value: Value, label: measure} + - {column: L, row: 7033, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7034 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7034, expected_value: E12000006, label: geography} + - {column: D, row: 7034, expected_value: Males, label: sex} + - {column: E, row: 7034, expected_value: Self-employed, label: employment type} + - {column: J, row: 7034, expected_value: Value, label: measure} + - {column: L, row: 7035, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7036 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7036, expected_value: E12000006, label: geography} + - {column: D, row: 7036, expected_value: Males, label: sex} + - {column: E, row: 7036, expected_value: Self-employed, label: employment type} + - {column: J, row: 7036, expected_value: Value, label: measure} + - {column: L, row: 7037, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7040 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7040, expected_value: E12000006, label: geography} + - {column: D, row: 7040, expected_value: Males, label: sex} + - {column: E, row: 7040, expected_value: Self-employed, label: employment type} + - {column: J, row: 7040, expected_value: Value, label: measure} + - {column: L, row: 7041, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7042 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7042, expected_value: E12000006, label: geography} + - {column: D, row: 7042, expected_value: Males, label: sex} + - {column: E, row: 7042, expected_value: Self-employed, label: employment type} + - {column: J, row: 7042, expected_value: Value, label: measure} + - {column: L, row: 7043, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7046 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7046, expected_value: E12000006, label: geography} + - {column: D, row: 7046, expected_value: Males, label: sex} + - {column: E, row: 7046, expected_value: Self-employed, label: employment type} + - {column: J, row: 7046, expected_value: Value, label: measure} + - {column: L, row: 7047, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7048 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7048, expected_value: E12000006, label: geography} + - {column: D, row: 7048, expected_value: Males, label: sex} + - {column: E, row: 7048, expected_value: Self-employed, label: employment type} + - {column: J, row: 7048, expected_value: Value, label: measure} + - {column: L, row: 7049, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7050 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7050, expected_value: E12000006, label: geography} + - {column: D, row: 7050, expected_value: Males, label: sex} + - {column: E, row: 7050, expected_value: Self-employed, label: employment type} + - {column: J, row: 7050, expected_value: Value, label: measure} + - {column: L, row: 7051, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7052 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7052, expected_value: E12000006, label: geography} + - {column: D, row: 7052, expected_value: Males, label: sex} + - {column: E, row: 7052, expected_value: Self-employed, label: employment type} + - {column: J, row: 7052, expected_value: Value, label: measure} + - {column: L, row: 7053, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7054 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7054, expected_value: E12000006, label: geography} + - {column: D, row: 7054, expected_value: Males, label: sex} + - {column: E, row: 7054, expected_value: Self-employed, label: employment type} + - {column: J, row: 7054, expected_value: Value, label: measure} + - {column: L, row: 7055, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7056 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7056, expected_value: E12000006, label: geography} + - {column: D, row: 7056, expected_value: Males, label: sex} + - {column: E, row: 7056, expected_value: Self-employed, label: employment type} + - {column: J, row: 7056, expected_value: Value, label: measure} + - {column: L, row: 7057, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6987 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6987, expected_value: E12000006, label: geography} + - {column: D, row: 6987, expected_value: Males, label: sex} + - {column: E, row: 6987, expected_value: Self-employed, label: employment type} + - {column: J, row: 6987, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6989 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6989, expected_value: E12000006, label: geography} + - {column: D, row: 6989, expected_value: Males, label: sex} + - {column: E, row: 6989, expected_value: Self-employed, label: employment type} + - {column: J, row: 6989, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6991 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6991, expected_value: E12000006, label: geography} + - {column: D, row: 6991, expected_value: Males, label: sex} + - {column: E, row: 6991, expected_value: Self-employed, label: employment type} + - {column: J, row: 6991, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6993 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6993, expected_value: E12000006, label: geography} + - {column: D, row: 6993, expected_value: Males, label: sex} + - {column: E, row: 6993, expected_value: Self-employed, label: employment type} + - {column: J, row: 6993, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6995 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6995, expected_value: E12000006, label: geography} + - {column: D, row: 6995, expected_value: Males, label: sex} + - {column: E, row: 6995, expected_value: Self-employed, label: employment type} + - {column: J, row: 6995, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6997 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6997, expected_value: E12000006, label: geography} + - {column: D, row: 6997, expected_value: Males, label: sex} + - {column: E, row: 6997, expected_value: Self-employed, label: employment type} + - {column: J, row: 6997, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7003 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7003, expected_value: E12000006, label: geography} + - {column: D, row: 7003, expected_value: Males, label: sex} + - {column: E, row: 7003, expected_value: Self-employed, label: employment type} + - {column: J, row: 7003, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7005 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7005, expected_value: E12000006, label: geography} + - {column: D, row: 7005, expected_value: Males, label: sex} + - {column: E, row: 7005, expected_value: Self-employed, label: employment type} + - {column: J, row: 7005, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7013 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7013, expected_value: E12000006, label: geography} + - {column: D, row: 7013, expected_value: Males, label: sex} + - {column: E, row: 7013, expected_value: Self-employed, label: employment type} + - {column: J, row: 7013, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7015 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7015, expected_value: E12000006, label: geography} + - {column: D, row: 7015, expected_value: Males, label: sex} + - {column: E, row: 7015, expected_value: Self-employed, label: employment type} + - {column: J, row: 7015, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7023 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7023, expected_value: E12000006, label: geography} + - {column: D, row: 7023, expected_value: Males, label: sex} + - {column: E, row: 7023, expected_value: Self-employed, label: employment type} + - {column: J, row: 7023, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7025 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7025, expected_value: E12000006, label: geography} + - {column: D, row: 7025, expected_value: Males, label: sex} + - {column: E, row: 7025, expected_value: Self-employed, label: employment type} + - {column: J, row: 7025, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7027 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7027, expected_value: E12000006, label: geography} + - {column: D, row: 7027, expected_value: Males, label: sex} + - {column: E, row: 7027, expected_value: Self-employed, label: employment type} + - {column: J, row: 7027, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7029 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7029, expected_value: E12000006, label: geography} + - {column: D, row: 7029, expected_value: Males, label: sex} + - {column: E, row: 7029, expected_value: Self-employed, label: employment type} + - {column: J, row: 7029, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7031 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7031, expected_value: E12000006, label: geography} + - {column: D, row: 7031, expected_value: Males, label: sex} + - {column: E, row: 7031, expected_value: Self-employed, label: employment type} + - {column: J, row: 7031, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7033 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7033, expected_value: E12000006, label: geography} + - {column: D, row: 7033, expected_value: Males, label: sex} + - {column: E, row: 7033, expected_value: Self-employed, label: employment type} + - {column: J, row: 7033, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7041 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7041, expected_value: E12000006, label: geography} + - {column: D, row: 7041, expected_value: Males, label: sex} + - {column: E, row: 7041, expected_value: Self-employed, label: employment type} + - {column: J, row: 7041, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7043 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7043, expected_value: E12000006, label: geography} + - {column: D, row: 7043, expected_value: Males, label: sex} + - {column: E, row: 7043, expected_value: Self-employed, label: employment type} + - {column: J, row: 7043, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7047 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7047, expected_value: E12000006, label: geography} + - {column: D, row: 7047, expected_value: Males, label: sex} + - {column: E, row: 7047, expected_value: Self-employed, label: employment type} + - {column: J, row: 7047, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7049 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7049, expected_value: E12000006, label: geography} + - {column: D, row: 7049, expected_value: Males, label: sex} + - {column: E, row: 7049, expected_value: Self-employed, label: employment type} + - {column: J, row: 7049, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7051 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7051, expected_value: E12000006, label: geography} + - {column: D, row: 7051, expected_value: Males, label: sex} + - {column: E, row: 7051, expected_value: Self-employed, label: employment type} + - {column: J, row: 7051, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7053 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7053, expected_value: E12000006, label: geography} + - {column: D, row: 7053, expected_value: Males, label: sex} + - {column: E, row: 7053, expected_value: Self-employed, label: employment type} + - {column: J, row: 7053, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7057 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7057, expected_value: E12000006, label: geography} + - {column: D, row: 7057, expected_value: Males, label: sex} + - {column: E, row: 7057, expected_value: Self-employed, label: employment type} + - {column: J, row: 7057, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6626 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6626, expected_value: E12000006, label: geography} + - {column: D, row: 6626, expected_value: Females, label: sex} + - {column: E, row: 6626, expected_value: Total, label: employment type} + - {column: J, row: 6626, expected_value: Value, label: measure} + - {column: L, row: 6627, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6628 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6628, expected_value: E12000006, label: geography} + - {column: D, row: 6628, expected_value: Females, label: sex} + - {column: E, row: 6628, expected_value: Total, label: employment type} + - {column: J, row: 6628, expected_value: Value, label: measure} + - {column: L, row: 6629, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6630 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6630, expected_value: E12000006, label: geography} + - {column: D, row: 6630, expected_value: Females, label: sex} + - {column: E, row: 6630, expected_value: Total, label: employment type} + - {column: J, row: 6630, expected_value: Value, label: measure} + - {column: L, row: 6631, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6632 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6632, expected_value: E12000006, label: geography} + - {column: D, row: 6632, expected_value: Females, label: sex} + - {column: E, row: 6632, expected_value: Total, label: employment type} + - {column: J, row: 6632, expected_value: Value, label: measure} + - {column: L, row: 6633, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6634 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6634, expected_value: E12000006, label: geography} + - {column: D, row: 6634, expected_value: Females, label: sex} + - {column: E, row: 6634, expected_value: Total, label: employment type} + - {column: J, row: 6634, expected_value: Value, label: measure} + - {column: L, row: 6635, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6636 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6636, expected_value: E12000006, label: geography} + - {column: D, row: 6636, expected_value: Females, label: sex} + - {column: E, row: 6636, expected_value: Total, label: employment type} + - {column: J, row: 6636, expected_value: Value, label: measure} + - {column: L, row: 6637, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6638 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6638, expected_value: E12000006, label: geography} + - {column: D, row: 6638, expected_value: Females, label: sex} + - {column: E, row: 6638, expected_value: Total, label: employment type} + - {column: J, row: 6638, expected_value: Value, label: measure} + - {column: L, row: 6639, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6640 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6640, expected_value: E12000006, label: geography} + - {column: D, row: 6640, expected_value: Females, label: sex} + - {column: E, row: 6640, expected_value: Total, label: employment type} + - {column: J, row: 6640, expected_value: Value, label: measure} + - {column: L, row: 6641, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6642 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6642, expected_value: E12000006, label: geography} + - {column: D, row: 6642, expected_value: Females, label: sex} + - {column: E, row: 6642, expected_value: Total, label: employment type} + - {column: J, row: 6642, expected_value: Value, label: measure} + - {column: L, row: 6643, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6644 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6644, expected_value: E12000006, label: geography} + - {column: D, row: 6644, expected_value: Females, label: sex} + - {column: E, row: 6644, expected_value: Total, label: employment type} + - {column: J, row: 6644, expected_value: Value, label: measure} + - {column: L, row: 6645, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6646 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6646, expected_value: E12000006, label: geography} + - {column: D, row: 6646, expected_value: Females, label: sex} + - {column: E, row: 6646, expected_value: Total, label: employment type} + - {column: J, row: 6646, expected_value: Value, label: measure} + - {column: L, row: 6647, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6648 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6648, expected_value: E12000006, label: geography} + - {column: D, row: 6648, expected_value: Females, label: sex} + - {column: E, row: 6648, expected_value: Total, label: employment type} + - {column: J, row: 6648, expected_value: Value, label: measure} + - {column: L, row: 6649, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6650 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6650, expected_value: E12000006, label: geography} + - {column: D, row: 6650, expected_value: Females, label: sex} + - {column: E, row: 6650, expected_value: Total, label: employment type} + - {column: J, row: 6650, expected_value: Value, label: measure} + - {column: L, row: 6651, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6652 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6652, expected_value: E12000006, label: geography} + - {column: D, row: 6652, expected_value: Females, label: sex} + - {column: E, row: 6652, expected_value: Total, label: employment type} + - {column: J, row: 6652, expected_value: Value, label: measure} + - {column: L, row: 6653, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6654 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6654, expected_value: E12000006, label: geography} + - {column: D, row: 6654, expected_value: Females, label: sex} + - {column: E, row: 6654, expected_value: Total, label: employment type} + - {column: J, row: 6654, expected_value: Value, label: measure} + - {column: L, row: 6655, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6656 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6656, expected_value: E12000006, label: geography} + - {column: D, row: 6656, expected_value: Females, label: sex} + - {column: E, row: 6656, expected_value: Total, label: employment type} + - {column: J, row: 6656, expected_value: Value, label: measure} + - {column: L, row: 6657, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6658 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6658, expected_value: E12000006, label: geography} + - {column: D, row: 6658, expected_value: Females, label: sex} + - {column: E, row: 6658, expected_value: Total, label: employment type} + - {column: J, row: 6658, expected_value: Value, label: measure} + - {column: L, row: 6659, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6660 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6660, expected_value: E12000006, label: geography} + - {column: D, row: 6660, expected_value: Females, label: sex} + - {column: E, row: 6660, expected_value: Total, label: employment type} + - {column: J, row: 6660, expected_value: Value, label: measure} + - {column: L, row: 6661, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6662 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6662, expected_value: E12000006, label: geography} + - {column: D, row: 6662, expected_value: Females, label: sex} + - {column: E, row: 6662, expected_value: Total, label: employment type} + - {column: J, row: 6662, expected_value: Value, label: measure} + - {column: L, row: 6663, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6664 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6664, expected_value: E12000006, label: geography} + - {column: D, row: 6664, expected_value: Females, label: sex} + - {column: E, row: 6664, expected_value: Total, label: employment type} + - {column: J, row: 6664, expected_value: Value, label: measure} + - {column: L, row: 6665, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6666 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6666, expected_value: E12000006, label: geography} + - {column: D, row: 6666, expected_value: Females, label: sex} + - {column: E, row: 6666, expected_value: Total, label: employment type} + - {column: J, row: 6666, expected_value: Value, label: measure} + - {column: L, row: 6667, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6668 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6668, expected_value: E12000006, label: geography} + - {column: D, row: 6668, expected_value: Females, label: sex} + - {column: E, row: 6668, expected_value: Total, label: employment type} + - {column: J, row: 6668, expected_value: Value, label: measure} + - {column: L, row: 6669, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6670 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6670, expected_value: E12000006, label: geography} + - {column: D, row: 6670, expected_value: Females, label: sex} + - {column: E, row: 6670, expected_value: Total, label: employment type} + - {column: J, row: 6670, expected_value: Value, label: measure} + - {column: L, row: 6671, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6672 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6672, expected_value: E12000006, label: geography} + - {column: D, row: 6672, expected_value: Females, label: sex} + - {column: E, row: 6672, expected_value: Total, label: employment type} + - {column: J, row: 6672, expected_value: Value, label: measure} + - {column: L, row: 6673, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6674 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6674, expected_value: E12000006, label: geography} + - {column: D, row: 6674, expected_value: Females, label: sex} + - {column: E, row: 6674, expected_value: Total, label: employment type} + - {column: J, row: 6674, expected_value: Value, label: measure} + - {column: L, row: 6675, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6676 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6676, expected_value: E12000006, label: geography} + - {column: D, row: 6676, expected_value: Females, label: sex} + - {column: E, row: 6676, expected_value: Total, label: employment type} + - {column: J, row: 6676, expected_value: Value, label: measure} + - {column: L, row: 6677, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6680 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6680, expected_value: E12000006, label: geography} + - {column: D, row: 6680, expected_value: Females, label: sex} + - {column: E, row: 6680, expected_value: Total, label: employment type} + - {column: J, row: 6680, expected_value: Value, label: measure} + - {column: L, row: 6681, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6682 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6682, expected_value: E12000006, label: geography} + - {column: D, row: 6682, expected_value: Females, label: sex} + - {column: E, row: 6682, expected_value: Total, label: employment type} + - {column: J, row: 6682, expected_value: Value, label: measure} + - {column: L, row: 6683, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6684 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6684, expected_value: E12000006, label: geography} + - {column: D, row: 6684, expected_value: Females, label: sex} + - {column: E, row: 6684, expected_value: Total, label: employment type} + - {column: J, row: 6684, expected_value: Value, label: measure} + - {column: L, row: 6685, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6686 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6686, expected_value: E12000006, label: geography} + - {column: D, row: 6686, expected_value: Females, label: sex} + - {column: E, row: 6686, expected_value: Total, label: employment type} + - {column: J, row: 6686, expected_value: Value, label: measure} + - {column: L, row: 6687, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6688 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6688, expected_value: E12000006, label: geography} + - {column: D, row: 6688, expected_value: Females, label: sex} + - {column: E, row: 6688, expected_value: Total, label: employment type} + - {column: J, row: 6688, expected_value: Value, label: measure} + - {column: L, row: 6689, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6690 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6690, expected_value: E12000006, label: geography} + - {column: D, row: 6690, expected_value: Females, label: sex} + - {column: E, row: 6690, expected_value: Total, label: employment type} + - {column: J, row: 6690, expected_value: Value, label: measure} + - {column: L, row: 6691, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6692 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6692, expected_value: E12000006, label: geography} + - {column: D, row: 6692, expected_value: Females, label: sex} + - {column: E, row: 6692, expected_value: Total, label: employment type} + - {column: J, row: 6692, expected_value: Value, label: measure} + - {column: L, row: 6693, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6694 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6694, expected_value: E12000006, label: geography} + - {column: D, row: 6694, expected_value: Females, label: sex} + - {column: E, row: 6694, expected_value: Total, label: employment type} + - {column: J, row: 6694, expected_value: Value, label: measure} + - {column: L, row: 6695, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6696 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6696, expected_value: E12000006, label: geography} + - {column: D, row: 6696, expected_value: Females, label: sex} + - {column: E, row: 6696, expected_value: Total, label: employment type} + - {column: J, row: 6696, expected_value: Value, label: measure} + - {column: L, row: 6697, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6627 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6627, expected_value: E12000006, label: geography} + - {column: D, row: 6627, expected_value: Females, label: sex} + - {column: E, row: 6627, expected_value: Total, label: employment type} + - {column: J, row: 6627, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6629 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6629, expected_value: E12000006, label: geography} + - {column: D, row: 6629, expected_value: Females, label: sex} + - {column: E, row: 6629, expected_value: Total, label: employment type} + - {column: J, row: 6629, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6631 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6631, expected_value: E12000006, label: geography} + - {column: D, row: 6631, expected_value: Females, label: sex} + - {column: E, row: 6631, expected_value: Total, label: employment type} + - {column: J, row: 6631, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6633 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6633, expected_value: E12000006, label: geography} + - {column: D, row: 6633, expected_value: Females, label: sex} + - {column: E, row: 6633, expected_value: Total, label: employment type} + - {column: J, row: 6633, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6635 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6635, expected_value: E12000006, label: geography} + - {column: D, row: 6635, expected_value: Females, label: sex} + - {column: E, row: 6635, expected_value: Total, label: employment type} + - {column: J, row: 6635, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6637 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6637, expected_value: E12000006, label: geography} + - {column: D, row: 6637, expected_value: Females, label: sex} + - {column: E, row: 6637, expected_value: Total, label: employment type} + - {column: J, row: 6637, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6639 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6639, expected_value: E12000006, label: geography} + - {column: D, row: 6639, expected_value: Females, label: sex} + - {column: E, row: 6639, expected_value: Total, label: employment type} + - {column: J, row: 6639, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6641 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6641, expected_value: E12000006, label: geography} + - {column: D, row: 6641, expected_value: Females, label: sex} + - {column: E, row: 6641, expected_value: Total, label: employment type} + - {column: J, row: 6641, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6643 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6643, expected_value: E12000006, label: geography} + - {column: D, row: 6643, expected_value: Females, label: sex} + - {column: E, row: 6643, expected_value: Total, label: employment type} + - {column: J, row: 6643, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6645 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6645, expected_value: E12000006, label: geography} + - {column: D, row: 6645, expected_value: Females, label: sex} + - {column: E, row: 6645, expected_value: Total, label: employment type} + - {column: J, row: 6645, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6647 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6647, expected_value: E12000006, label: geography} + - {column: D, row: 6647, expected_value: Females, label: sex} + - {column: E, row: 6647, expected_value: Total, label: employment type} + - {column: J, row: 6647, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6649 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6649, expected_value: E12000006, label: geography} + - {column: D, row: 6649, expected_value: Females, label: sex} + - {column: E, row: 6649, expected_value: Total, label: employment type} + - {column: J, row: 6649, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6651 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6651, expected_value: E12000006, label: geography} + - {column: D, row: 6651, expected_value: Females, label: sex} + - {column: E, row: 6651, expected_value: Total, label: employment type} + - {column: J, row: 6651, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6653 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6653, expected_value: E12000006, label: geography} + - {column: D, row: 6653, expected_value: Females, label: sex} + - {column: E, row: 6653, expected_value: Total, label: employment type} + - {column: J, row: 6653, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6655 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6655, expected_value: E12000006, label: geography} + - {column: D, row: 6655, expected_value: Females, label: sex} + - {column: E, row: 6655, expected_value: Total, label: employment type} + - {column: J, row: 6655, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6657 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6657, expected_value: E12000006, label: geography} + - {column: D, row: 6657, expected_value: Females, label: sex} + - {column: E, row: 6657, expected_value: Total, label: employment type} + - {column: J, row: 6657, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6659 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6659, expected_value: E12000006, label: geography} + - {column: D, row: 6659, expected_value: Females, label: sex} + - {column: E, row: 6659, expected_value: Total, label: employment type} + - {column: J, row: 6659, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6661 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6661, expected_value: E12000006, label: geography} + - {column: D, row: 6661, expected_value: Females, label: sex} + - {column: E, row: 6661, expected_value: Total, label: employment type} + - {column: J, row: 6661, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6663 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6663, expected_value: E12000006, label: geography} + - {column: D, row: 6663, expected_value: Females, label: sex} + - {column: E, row: 6663, expected_value: Total, label: employment type} + - {column: J, row: 6663, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6665 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6665, expected_value: E12000006, label: geography} + - {column: D, row: 6665, expected_value: Females, label: sex} + - {column: E, row: 6665, expected_value: Total, label: employment type} + - {column: J, row: 6665, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6671 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6671, expected_value: E12000006, label: geography} + - {column: D, row: 6671, expected_value: Females, label: sex} + - {column: E, row: 6671, expected_value: Total, label: employment type} + - {column: J, row: 6671, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6673 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6673, expected_value: E12000006, label: geography} + - {column: D, row: 6673, expected_value: Females, label: sex} + - {column: E, row: 6673, expected_value: Total, label: employment type} + - {column: J, row: 6673, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6675 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6675, expected_value: E12000006, label: geography} + - {column: D, row: 6675, expected_value: Females, label: sex} + - {column: E, row: 6675, expected_value: Total, label: employment type} + - {column: J, row: 6675, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6677 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6677, expected_value: E12000006, label: geography} + - {column: D, row: 6677, expected_value: Females, label: sex} + - {column: E, row: 6677, expected_value: Total, label: employment type} + - {column: J, row: 6677, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6681 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6681, expected_value: E12000006, label: geography} + - {column: D, row: 6681, expected_value: Females, label: sex} + - {column: E, row: 6681, expected_value: Total, label: employment type} + - {column: J, row: 6681, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6683 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6683, expected_value: E12000006, label: geography} + - {column: D, row: 6683, expected_value: Females, label: sex} + - {column: E, row: 6683, expected_value: Total, label: employment type} + - {column: J, row: 6683, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6685 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6685, expected_value: E12000006, label: geography} + - {column: D, row: 6685, expected_value: Females, label: sex} + - {column: E, row: 6685, expected_value: Total, label: employment type} + - {column: J, row: 6685, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6687 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6687, expected_value: E12000006, label: geography} + - {column: D, row: 6687, expected_value: Females, label: sex} + - {column: E, row: 6687, expected_value: Total, label: employment type} + - {column: J, row: 6687, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6689 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6689, expected_value: E12000006, label: geography} + - {column: D, row: 6689, expected_value: Females, label: sex} + - {column: E, row: 6689, expected_value: Total, label: employment type} + - {column: J, row: 6689, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6691 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6691, expected_value: E12000006, label: geography} + - {column: D, row: 6691, expected_value: Females, label: sex} + - {column: E, row: 6691, expected_value: Total, label: employment type} + - {column: J, row: 6691, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6693 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6693, expected_value: E12000006, label: geography} + - {column: D, row: 6693, expected_value: Females, label: sex} + - {column: E, row: 6693, expected_value: Total, label: employment type} + - {column: J, row: 6693, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6695 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6695, expected_value: E12000006, label: geography} + - {column: D, row: 6695, expected_value: Females, label: sex} + - {column: E, row: 6695, expected_value: Total, label: employment type} + - {column: J, row: 6695, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6697 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6697, expected_value: E12000006, label: geography} + - {column: D, row: 6697, expected_value: Females, label: sex} + - {column: E, row: 6697, expected_value: Total, label: employment type} + - {column: J, row: 6697, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6842 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6842, expected_value: E12000006, label: geography} + - {column: D, row: 6842, expected_value: Females, label: sex} + - {column: E, row: 6842, expected_value: Employee, label: employment type} + - {column: J, row: 6842, expected_value: Value, label: measure} + - {column: L, row: 6843, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6844 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6844, expected_value: E12000006, label: geography} + - {column: D, row: 6844, expected_value: Females, label: sex} + - {column: E, row: 6844, expected_value: Employee, label: employment type} + - {column: J, row: 6844, expected_value: Value, label: measure} + - {column: L, row: 6845, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6846 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6846, expected_value: E12000006, label: geography} + - {column: D, row: 6846, expected_value: Females, label: sex} + - {column: E, row: 6846, expected_value: Employee, label: employment type} + - {column: J, row: 6846, expected_value: Value, label: measure} + - {column: L, row: 6847, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6848 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6848, expected_value: E12000006, label: geography} + - {column: D, row: 6848, expected_value: Females, label: sex} + - {column: E, row: 6848, expected_value: Employee, label: employment type} + - {column: J, row: 6848, expected_value: Value, label: measure} + - {column: L, row: 6849, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6850 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6850, expected_value: E12000006, label: geography} + - {column: D, row: 6850, expected_value: Females, label: sex} + - {column: E, row: 6850, expected_value: Employee, label: employment type} + - {column: J, row: 6850, expected_value: Value, label: measure} + - {column: L, row: 6851, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6852 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6852, expected_value: E12000006, label: geography} + - {column: D, row: 6852, expected_value: Females, label: sex} + - {column: E, row: 6852, expected_value: Employee, label: employment type} + - {column: J, row: 6852, expected_value: Value, label: measure} + - {column: L, row: 6853, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6854 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6854, expected_value: E12000006, label: geography} + - {column: D, row: 6854, expected_value: Females, label: sex} + - {column: E, row: 6854, expected_value: Employee, label: employment type} + - {column: J, row: 6854, expected_value: Value, label: measure} + - {column: L, row: 6855, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6856 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6856, expected_value: E12000006, label: geography} + - {column: D, row: 6856, expected_value: Females, label: sex} + - {column: E, row: 6856, expected_value: Employee, label: employment type} + - {column: J, row: 6856, expected_value: Value, label: measure} + - {column: L, row: 6857, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6858 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6858, expected_value: E12000006, label: geography} + - {column: D, row: 6858, expected_value: Females, label: sex} + - {column: E, row: 6858, expected_value: Employee, label: employment type} + - {column: J, row: 6858, expected_value: Value, label: measure} + - {column: L, row: 6859, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6860 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6860, expected_value: E12000006, label: geography} + - {column: D, row: 6860, expected_value: Females, label: sex} + - {column: E, row: 6860, expected_value: Employee, label: employment type} + - {column: J, row: 6860, expected_value: Value, label: measure} + - {column: L, row: 6861, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6862 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6862, expected_value: E12000006, label: geography} + - {column: D, row: 6862, expected_value: Females, label: sex} + - {column: E, row: 6862, expected_value: Employee, label: employment type} + - {column: J, row: 6862, expected_value: Value, label: measure} + - {column: L, row: 6863, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6864 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6864, expected_value: E12000006, label: geography} + - {column: D, row: 6864, expected_value: Females, label: sex} + - {column: E, row: 6864, expected_value: Employee, label: employment type} + - {column: J, row: 6864, expected_value: Value, label: measure} + - {column: L, row: 6865, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6866 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6866, expected_value: E12000006, label: geography} + - {column: D, row: 6866, expected_value: Females, label: sex} + - {column: E, row: 6866, expected_value: Employee, label: employment type} + - {column: J, row: 6866, expected_value: Value, label: measure} + - {column: L, row: 6867, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6868 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6868, expected_value: E12000006, label: geography} + - {column: D, row: 6868, expected_value: Females, label: sex} + - {column: E, row: 6868, expected_value: Employee, label: employment type} + - {column: J, row: 6868, expected_value: Value, label: measure} + - {column: L, row: 6869, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6870 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6870, expected_value: E12000006, label: geography} + - {column: D, row: 6870, expected_value: Females, label: sex} + - {column: E, row: 6870, expected_value: Employee, label: employment type} + - {column: J, row: 6870, expected_value: Value, label: measure} + - {column: L, row: 6871, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6872 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6872, expected_value: E12000006, label: geography} + - {column: D, row: 6872, expected_value: Females, label: sex} + - {column: E, row: 6872, expected_value: Employee, label: employment type} + - {column: J, row: 6872, expected_value: Value, label: measure} + - {column: L, row: 6873, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6874 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6874, expected_value: E12000006, label: geography} + - {column: D, row: 6874, expected_value: Females, label: sex} + - {column: E, row: 6874, expected_value: Employee, label: employment type} + - {column: J, row: 6874, expected_value: Value, label: measure} + - {column: L, row: 6875, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6876 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6876, expected_value: E12000006, label: geography} + - {column: D, row: 6876, expected_value: Females, label: sex} + - {column: E, row: 6876, expected_value: Employee, label: employment type} + - {column: J, row: 6876, expected_value: Value, label: measure} + - {column: L, row: 6877, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6878 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6878, expected_value: E12000006, label: geography} + - {column: D, row: 6878, expected_value: Females, label: sex} + - {column: E, row: 6878, expected_value: Employee, label: employment type} + - {column: J, row: 6878, expected_value: Value, label: measure} + - {column: L, row: 6879, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6880 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6880, expected_value: E12000006, label: geography} + - {column: D, row: 6880, expected_value: Females, label: sex} + - {column: E, row: 6880, expected_value: Employee, label: employment type} + - {column: J, row: 6880, expected_value: Value, label: measure} + - {column: L, row: 6881, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6882 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6882, expected_value: E12000006, label: geography} + - {column: D, row: 6882, expected_value: Females, label: sex} + - {column: E, row: 6882, expected_value: Employee, label: employment type} + - {column: J, row: 6882, expected_value: Value, label: measure} + - {column: L, row: 6883, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6884 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6884, expected_value: E12000006, label: geography} + - {column: D, row: 6884, expected_value: Females, label: sex} + - {column: E, row: 6884, expected_value: Employee, label: employment type} + - {column: J, row: 6884, expected_value: Value, label: measure} + - {column: L, row: 6885, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6886 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6886, expected_value: E12000006, label: geography} + - {column: D, row: 6886, expected_value: Females, label: sex} + - {column: E, row: 6886, expected_value: Employee, label: employment type} + - {column: J, row: 6886, expected_value: Value, label: measure} + - {column: L, row: 6887, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6888 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6888, expected_value: E12000006, label: geography} + - {column: D, row: 6888, expected_value: Females, label: sex} + - {column: E, row: 6888, expected_value: Employee, label: employment type} + - {column: J, row: 6888, expected_value: Value, label: measure} + - {column: L, row: 6889, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6890 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6890, expected_value: E12000006, label: geography} + - {column: D, row: 6890, expected_value: Females, label: sex} + - {column: E, row: 6890, expected_value: Employee, label: employment type} + - {column: J, row: 6890, expected_value: Value, label: measure} + - {column: L, row: 6891, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6892 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6892, expected_value: E12000006, label: geography} + - {column: D, row: 6892, expected_value: Females, label: sex} + - {column: E, row: 6892, expected_value: Employee, label: employment type} + - {column: J, row: 6892, expected_value: Value, label: measure} + - {column: L, row: 6893, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6896 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6896, expected_value: E12000006, label: geography} + - {column: D, row: 6896, expected_value: Females, label: sex} + - {column: E, row: 6896, expected_value: Employee, label: employment type} + - {column: J, row: 6896, expected_value: Value, label: measure} + - {column: L, row: 6897, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6898 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6898, expected_value: E12000006, label: geography} + - {column: D, row: 6898, expected_value: Females, label: sex} + - {column: E, row: 6898, expected_value: Employee, label: employment type} + - {column: J, row: 6898, expected_value: Value, label: measure} + - {column: L, row: 6899, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6900 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6900, expected_value: E12000006, label: geography} + - {column: D, row: 6900, expected_value: Females, label: sex} + - {column: E, row: 6900, expected_value: Employee, label: employment type} + - {column: J, row: 6900, expected_value: Value, label: measure} + - {column: L, row: 6901, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6902 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6902, expected_value: E12000006, label: geography} + - {column: D, row: 6902, expected_value: Females, label: sex} + - {column: E, row: 6902, expected_value: Employee, label: employment type} + - {column: J, row: 6902, expected_value: Value, label: measure} + - {column: L, row: 6903, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6904 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6904, expected_value: E12000006, label: geography} + - {column: D, row: 6904, expected_value: Females, label: sex} + - {column: E, row: 6904, expected_value: Employee, label: employment type} + - {column: J, row: 6904, expected_value: Value, label: measure} + - {column: L, row: 6905, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6906 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6906, expected_value: E12000006, label: geography} + - {column: D, row: 6906, expected_value: Females, label: sex} + - {column: E, row: 6906, expected_value: Employee, label: employment type} + - {column: J, row: 6906, expected_value: Value, label: measure} + - {column: L, row: 6907, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6908 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6908, expected_value: E12000006, label: geography} + - {column: D, row: 6908, expected_value: Females, label: sex} + - {column: E, row: 6908, expected_value: Employee, label: employment type} + - {column: J, row: 6908, expected_value: Value, label: measure} + - {column: L, row: 6909, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6910 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6910, expected_value: E12000006, label: geography} + - {column: D, row: 6910, expected_value: Females, label: sex} + - {column: E, row: 6910, expected_value: Employee, label: employment type} + - {column: J, row: 6910, expected_value: Value, label: measure} + - {column: L, row: 6911, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6912 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6912, expected_value: E12000006, label: geography} + - {column: D, row: 6912, expected_value: Females, label: sex} + - {column: E, row: 6912, expected_value: Employee, label: employment type} + - {column: J, row: 6912, expected_value: Value, label: measure} + - {column: L, row: 6913, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6843 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6843, expected_value: E12000006, label: geography} + - {column: D, row: 6843, expected_value: Females, label: sex} + - {column: E, row: 6843, expected_value: Employee, label: employment type} + - {column: J, row: 6843, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6845 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6845, expected_value: E12000006, label: geography} + - {column: D, row: 6845, expected_value: Females, label: sex} + - {column: E, row: 6845, expected_value: Employee, label: employment type} + - {column: J, row: 6845, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6847 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6847, expected_value: E12000006, label: geography} + - {column: D, row: 6847, expected_value: Females, label: sex} + - {column: E, row: 6847, expected_value: Employee, label: employment type} + - {column: J, row: 6847, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6849 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6849, expected_value: E12000006, label: geography} + - {column: D, row: 6849, expected_value: Females, label: sex} + - {column: E, row: 6849, expected_value: Employee, label: employment type} + - {column: J, row: 6849, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6851 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6851, expected_value: E12000006, label: geography} + - {column: D, row: 6851, expected_value: Females, label: sex} + - {column: E, row: 6851, expected_value: Employee, label: employment type} + - {column: J, row: 6851, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6853 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6853, expected_value: E12000006, label: geography} + - {column: D, row: 6853, expected_value: Females, label: sex} + - {column: E, row: 6853, expected_value: Employee, label: employment type} + - {column: J, row: 6853, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6855 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6855, expected_value: E12000006, label: geography} + - {column: D, row: 6855, expected_value: Females, label: sex} + - {column: E, row: 6855, expected_value: Employee, label: employment type} + - {column: J, row: 6855, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6857 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6857, expected_value: E12000006, label: geography} + - {column: D, row: 6857, expected_value: Females, label: sex} + - {column: E, row: 6857, expected_value: Employee, label: employment type} + - {column: J, row: 6857, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6859 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6859, expected_value: E12000006, label: geography} + - {column: D, row: 6859, expected_value: Females, label: sex} + - {column: E, row: 6859, expected_value: Employee, label: employment type} + - {column: J, row: 6859, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6861 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6861, expected_value: E12000006, label: geography} + - {column: D, row: 6861, expected_value: Females, label: sex} + - {column: E, row: 6861, expected_value: Employee, label: employment type} + - {column: J, row: 6861, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6863 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6863, expected_value: E12000006, label: geography} + - {column: D, row: 6863, expected_value: Females, label: sex} + - {column: E, row: 6863, expected_value: Employee, label: employment type} + - {column: J, row: 6863, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6865 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6865, expected_value: E12000006, label: geography} + - {column: D, row: 6865, expected_value: Females, label: sex} + - {column: E, row: 6865, expected_value: Employee, label: employment type} + - {column: J, row: 6865, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6867 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6867, expected_value: E12000006, label: geography} + - {column: D, row: 6867, expected_value: Females, label: sex} + - {column: E, row: 6867, expected_value: Employee, label: employment type} + - {column: J, row: 6867, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6869 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6869, expected_value: E12000006, label: geography} + - {column: D, row: 6869, expected_value: Females, label: sex} + - {column: E, row: 6869, expected_value: Employee, label: employment type} + - {column: J, row: 6869, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6871 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6871, expected_value: E12000006, label: geography} + - {column: D, row: 6871, expected_value: Females, label: sex} + - {column: E, row: 6871, expected_value: Employee, label: employment type} + - {column: J, row: 6871, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6873 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6873, expected_value: E12000006, label: geography} + - {column: D, row: 6873, expected_value: Females, label: sex} + - {column: E, row: 6873, expected_value: Employee, label: employment type} + - {column: J, row: 6873, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6875 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6875, expected_value: E12000006, label: geography} + - {column: D, row: 6875, expected_value: Females, label: sex} + - {column: E, row: 6875, expected_value: Employee, label: employment type} + - {column: J, row: 6875, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6877 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6877, expected_value: E12000006, label: geography} + - {column: D, row: 6877, expected_value: Females, label: sex} + - {column: E, row: 6877, expected_value: Employee, label: employment type} + - {column: J, row: 6877, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6879 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6879, expected_value: E12000006, label: geography} + - {column: D, row: 6879, expected_value: Females, label: sex} + - {column: E, row: 6879, expected_value: Employee, label: employment type} + - {column: J, row: 6879, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6887 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6887, expected_value: E12000006, label: geography} + - {column: D, row: 6887, expected_value: Females, label: sex} + - {column: E, row: 6887, expected_value: Employee, label: employment type} + - {column: J, row: 6887, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6889 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6889, expected_value: E12000006, label: geography} + - {column: D, row: 6889, expected_value: Females, label: sex} + - {column: E, row: 6889, expected_value: Employee, label: employment type} + - {column: J, row: 6889, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6891 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6891, expected_value: E12000006, label: geography} + - {column: D, row: 6891, expected_value: Females, label: sex} + - {column: E, row: 6891, expected_value: Employee, label: employment type} + - {column: J, row: 6891, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6893 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6893, expected_value: E12000006, label: geography} + - {column: D, row: 6893, expected_value: Females, label: sex} + - {column: E, row: 6893, expected_value: Employee, label: employment type} + - {column: J, row: 6893, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6897 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6897, expected_value: E12000006, label: geography} + - {column: D, row: 6897, expected_value: Females, label: sex} + - {column: E, row: 6897, expected_value: Employee, label: employment type} + - {column: J, row: 6897, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6899 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6899, expected_value: E12000006, label: geography} + - {column: D, row: 6899, expected_value: Females, label: sex} + - {column: E, row: 6899, expected_value: Employee, label: employment type} + - {column: J, row: 6899, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6901 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6901, expected_value: E12000006, label: geography} + - {column: D, row: 6901, expected_value: Females, label: sex} + - {column: E, row: 6901, expected_value: Employee, label: employment type} + - {column: J, row: 6901, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6903 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6903, expected_value: E12000006, label: geography} + - {column: D, row: 6903, expected_value: Females, label: sex} + - {column: E, row: 6903, expected_value: Employee, label: employment type} + - {column: J, row: 6903, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6905 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6905, expected_value: E12000006, label: geography} + - {column: D, row: 6905, expected_value: Females, label: sex} + - {column: E, row: 6905, expected_value: Employee, label: employment type} + - {column: J, row: 6905, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6909 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6909, expected_value: E12000006, label: geography} + - {column: D, row: 6909, expected_value: Females, label: sex} + - {column: E, row: 6909, expected_value: Employee, label: employment type} + - {column: J, row: 6909, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6911 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6911, expected_value: E12000006, label: geography} + - {column: D, row: 6911, expected_value: Females, label: sex} + - {column: E, row: 6911, expected_value: Employee, label: employment type} + - {column: J, row: 6911, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6913 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6913, expected_value: E12000006, label: geography} + - {column: D, row: 6913, expected_value: Females, label: sex} + - {column: E, row: 6913, expected_value: Employee, label: employment type} + - {column: J, row: 6913, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7058 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7058, expected_value: E12000006, label: geography} + - {column: D, row: 7058, expected_value: Females, label: sex} + - {column: E, row: 7058, expected_value: Self-employed, label: employment type} + - {column: J, row: 7058, expected_value: Value, label: measure} + - {column: L, row: 7059, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7060 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7060, expected_value: E12000006, label: geography} + - {column: D, row: 7060, expected_value: Females, label: sex} + - {column: E, row: 7060, expected_value: Self-employed, label: employment type} + - {column: J, row: 7060, expected_value: Value, label: measure} + - {column: L, row: 7061, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7062 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7062, expected_value: E12000006, label: geography} + - {column: D, row: 7062, expected_value: Females, label: sex} + - {column: E, row: 7062, expected_value: Self-employed, label: employment type} + - {column: J, row: 7062, expected_value: Value, label: measure} + - {column: L, row: 7063, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7064 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7064, expected_value: E12000006, label: geography} + - {column: D, row: 7064, expected_value: Females, label: sex} + - {column: E, row: 7064, expected_value: Self-employed, label: employment type} + - {column: J, row: 7064, expected_value: Value, label: measure} + - {column: L, row: 7065, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7066 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7066, expected_value: E12000006, label: geography} + - {column: D, row: 7066, expected_value: Females, label: sex} + - {column: E, row: 7066, expected_value: Self-employed, label: employment type} + - {column: J, row: 7066, expected_value: Value, label: measure} + - {column: L, row: 7067, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7068 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7068, expected_value: E12000006, label: geography} + - {column: D, row: 7068, expected_value: Females, label: sex} + - {column: E, row: 7068, expected_value: Self-employed, label: employment type} + - {column: J, row: 7068, expected_value: Value, label: measure} + - {column: L, row: 7069, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7070 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7070, expected_value: E12000006, label: geography} + - {column: D, row: 7070, expected_value: Females, label: sex} + - {column: E, row: 7070, expected_value: Self-employed, label: employment type} + - {column: J, row: 7070, expected_value: Value, label: measure} + - {column: L, row: 7071, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7072 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7072, expected_value: E12000006, label: geography} + - {column: D, row: 7072, expected_value: Females, label: sex} + - {column: E, row: 7072, expected_value: Self-employed, label: employment type} + - {column: J, row: 7072, expected_value: Value, label: measure} + - {column: L, row: 7073, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7074 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7074, expected_value: E12000006, label: geography} + - {column: D, row: 7074, expected_value: Females, label: sex} + - {column: E, row: 7074, expected_value: Self-employed, label: employment type} + - {column: J, row: 7074, expected_value: Value, label: measure} + - {column: L, row: 7075, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7076 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7076, expected_value: E12000006, label: geography} + - {column: D, row: 7076, expected_value: Females, label: sex} + - {column: E, row: 7076, expected_value: Self-employed, label: employment type} + - {column: J, row: 7076, expected_value: Value, label: measure} + - {column: L, row: 7077, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7078 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7078, expected_value: E12000006, label: geography} + - {column: D, row: 7078, expected_value: Females, label: sex} + - {column: E, row: 7078, expected_value: Self-employed, label: employment type} + - {column: J, row: 7078, expected_value: Value, label: measure} + - {column: L, row: 7079, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7080 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7080, expected_value: E12000006, label: geography} + - {column: D, row: 7080, expected_value: Females, label: sex} + - {column: E, row: 7080, expected_value: Self-employed, label: employment type} + - {column: J, row: 7080, expected_value: Value, label: measure} + - {column: L, row: 7081, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7084 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7084, expected_value: E12000006, label: geography} + - {column: D, row: 7084, expected_value: Females, label: sex} + - {column: E, row: 7084, expected_value: Self-employed, label: employment type} + - {column: J, row: 7084, expected_value: Value, label: measure} + - {column: L, row: 7085, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7086 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7086, expected_value: E12000006, label: geography} + - {column: D, row: 7086, expected_value: Females, label: sex} + - {column: E, row: 7086, expected_value: Self-employed, label: employment type} + - {column: J, row: 7086, expected_value: Value, label: measure} + - {column: L, row: 7087, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7088 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7088, expected_value: E12000006, label: geography} + - {column: D, row: 7088, expected_value: Females, label: sex} + - {column: E, row: 7088, expected_value: Self-employed, label: employment type} + - {column: J, row: 7088, expected_value: Value, label: measure} + - {column: L, row: 7089, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7090 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7090, expected_value: E12000006, label: geography} + - {column: D, row: 7090, expected_value: Females, label: sex} + - {column: E, row: 7090, expected_value: Self-employed, label: employment type} + - {column: J, row: 7090, expected_value: Value, label: measure} + - {column: L, row: 7091, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7092 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7092, expected_value: E12000006, label: geography} + - {column: D, row: 7092, expected_value: Females, label: sex} + - {column: E, row: 7092, expected_value: Self-employed, label: employment type} + - {column: J, row: 7092, expected_value: Value, label: measure} + - {column: L, row: 7093, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7094 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7094, expected_value: E12000006, label: geography} + - {column: D, row: 7094, expected_value: Females, label: sex} + - {column: E, row: 7094, expected_value: Self-employed, label: employment type} + - {column: J, row: 7094, expected_value: Value, label: measure} + - {column: L, row: 7095, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7096 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7096, expected_value: E12000006, label: geography} + - {column: D, row: 7096, expected_value: Females, label: sex} + - {column: E, row: 7096, expected_value: Self-employed, label: employment type} + - {column: J, row: 7096, expected_value: Value, label: measure} + - {column: L, row: 7097, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7102 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7102, expected_value: E12000006, label: geography} + - {column: D, row: 7102, expected_value: Females, label: sex} + - {column: E, row: 7102, expected_value: Self-employed, label: employment type} + - {column: J, row: 7102, expected_value: Value, label: measure} + - {column: L, row: 7103, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7104 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7104, expected_value: E12000006, label: geography} + - {column: D, row: 7104, expected_value: Females, label: sex} + - {column: E, row: 7104, expected_value: Self-employed, label: employment type} + - {column: J, row: 7104, expected_value: Value, label: measure} + - {column: L, row: 7105, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7106 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7106, expected_value: E12000006, label: geography} + - {column: D, row: 7106, expected_value: Females, label: sex} + - {column: E, row: 7106, expected_value: Self-employed, label: employment type} + - {column: J, row: 7106, expected_value: Value, label: measure} + - {column: L, row: 7107, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7108 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7108, expected_value: E12000006, label: geography} + - {column: D, row: 7108, expected_value: Females, label: sex} + - {column: E, row: 7108, expected_value: Self-employed, label: employment type} + - {column: J, row: 7108, expected_value: Value, label: measure} + - {column: L, row: 7109, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7112 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7112, expected_value: E12000006, label: geography} + - {column: D, row: 7112, expected_value: Females, label: sex} + - {column: E, row: 7112, expected_value: Self-employed, label: employment type} + - {column: J, row: 7112, expected_value: Value, label: measure} + - {column: L, row: 7113, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7114 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7114, expected_value: E12000006, label: geography} + - {column: D, row: 7114, expected_value: Females, label: sex} + - {column: E, row: 7114, expected_value: Self-employed, label: employment type} + - {column: J, row: 7114, expected_value: Value, label: measure} + - {column: L, row: 7115, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7116 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7116, expected_value: E12000006, label: geography} + - {column: D, row: 7116, expected_value: Females, label: sex} + - {column: E, row: 7116, expected_value: Self-employed, label: employment type} + - {column: J, row: 7116, expected_value: Value, label: measure} + - {column: L, row: 7117, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7118 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7118, expected_value: E12000006, label: geography} + - {column: D, row: 7118, expected_value: Females, label: sex} + - {column: E, row: 7118, expected_value: Self-employed, label: employment type} + - {column: J, row: 7118, expected_value: Value, label: measure} + - {column: L, row: 7119, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7120 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7120, expected_value: E12000006, label: geography} + - {column: D, row: 7120, expected_value: Females, label: sex} + - {column: E, row: 7120, expected_value: Self-employed, label: employment type} + - {column: J, row: 7120, expected_value: Value, label: measure} + - {column: L, row: 7121, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7122 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7122, expected_value: E12000006, label: geography} + - {column: D, row: 7122, expected_value: Females, label: sex} + - {column: E, row: 7122, expected_value: Self-employed, label: employment type} + - {column: J, row: 7122, expected_value: Value, label: measure} + - {column: L, row: 7123, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7124 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7124, expected_value: E12000006, label: geography} + - {column: D, row: 7124, expected_value: Females, label: sex} + - {column: E, row: 7124, expected_value: Self-employed, label: employment type} + - {column: J, row: 7124, expected_value: Value, label: measure} + - {column: L, row: 7125, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7126 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7126, expected_value: E12000006, label: geography} + - {column: D, row: 7126, expected_value: Females, label: sex} + - {column: E, row: 7126, expected_value: Self-employed, label: employment type} + - {column: J, row: 7126, expected_value: Value, label: measure} + - {column: L, row: 7127, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7128 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7128, expected_value: E12000006, label: geography} + - {column: D, row: 7128, expected_value: Females, label: sex} + - {column: E, row: 7128, expected_value: Self-employed, label: employment type} + - {column: J, row: 7128, expected_value: Value, label: measure} + - {column: L, row: 7129, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000006.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7059 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7059, expected_value: E12000006, label: geography} + - {column: D, row: 7059, expected_value: Females, label: sex} + - {column: E, row: 7059, expected_value: Self-employed, label: employment type} + - {column: J, row: 7059, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7061 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7061, expected_value: E12000006, label: geography} + - {column: D, row: 7061, expected_value: Females, label: sex} + - {column: E, row: 7061, expected_value: Self-employed, label: employment type} + - {column: J, row: 7061, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7063 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7063, expected_value: E12000006, label: geography} + - {column: D, row: 7063, expected_value: Females, label: sex} + - {column: E, row: 7063, expected_value: Self-employed, label: employment type} + - {column: J, row: 7063, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7065 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7065, expected_value: E12000006, label: geography} + - {column: D, row: 7065, expected_value: Females, label: sex} + - {column: E, row: 7065, expected_value: Self-employed, label: employment type} + - {column: J, row: 7065, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7067 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7067, expected_value: E12000006, label: geography} + - {column: D, row: 7067, expected_value: Females, label: sex} + - {column: E, row: 7067, expected_value: Self-employed, label: employment type} + - {column: J, row: 7067, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7071 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7071, expected_value: E12000006, label: geography} + - {column: D, row: 7071, expected_value: Females, label: sex} + - {column: E, row: 7071, expected_value: Self-employed, label: employment type} + - {column: J, row: 7071, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7073 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7073, expected_value: E12000006, label: geography} + - {column: D, row: 7073, expected_value: Females, label: sex} + - {column: E, row: 7073, expected_value: Self-employed, label: employment type} + - {column: J, row: 7073, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7075 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7075, expected_value: E12000006, label: geography} + - {column: D, row: 7075, expected_value: Females, label: sex} + - {column: E, row: 7075, expected_value: Self-employed, label: employment type} + - {column: J, row: 7075, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7077 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7077, expected_value: E12000006, label: geography} + - {column: D, row: 7077, expected_value: Females, label: sex} + - {column: E, row: 7077, expected_value: Self-employed, label: employment type} + - {column: J, row: 7077, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7081 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7081, expected_value: E12000006, label: geography} + - {column: D, row: 7081, expected_value: Females, label: sex} + - {column: E, row: 7081, expected_value: Self-employed, label: employment type} + - {column: J, row: 7081, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7085 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7085, expected_value: E12000006, label: geography} + - {column: D, row: 7085, expected_value: Females, label: sex} + - {column: E, row: 7085, expected_value: Self-employed, label: employment type} + - {column: J, row: 7085, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7087 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7087, expected_value: E12000006, label: geography} + - {column: D, row: 7087, expected_value: Females, label: sex} + - {column: E, row: 7087, expected_value: Self-employed, label: employment type} + - {column: J, row: 7087, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7089 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7089, expected_value: E12000006, label: geography} + - {column: D, row: 7089, expected_value: Females, label: sex} + - {column: E, row: 7089, expected_value: Self-employed, label: employment type} + - {column: J, row: 7089, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7091 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7091, expected_value: E12000006, label: geography} + - {column: D, row: 7091, expected_value: Females, label: sex} + - {column: E, row: 7091, expected_value: Self-employed, label: employment type} + - {column: J, row: 7091, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7095 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7095, expected_value: E12000006, label: geography} + - {column: D, row: 7095, expected_value: Females, label: sex} + - {column: E, row: 7095, expected_value: Self-employed, label: employment type} + - {column: J, row: 7095, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7097 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7097, expected_value: E12000006, label: geography} + - {column: D, row: 7097, expected_value: Females, label: sex} + - {column: E, row: 7097, expected_value: Self-employed, label: employment type} + - {column: J, row: 7097, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7105 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7105, expected_value: E12000006, label: geography} + - {column: D, row: 7105, expected_value: Females, label: sex} + - {column: E, row: 7105, expected_value: Self-employed, label: employment type} + - {column: J, row: 7105, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7107 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7107, expected_value: E12000006, label: geography} + - {column: D, row: 7107, expected_value: Females, label: sex} + - {column: E, row: 7107, expected_value: Self-employed, label: employment type} + - {column: J, row: 7107, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7109 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7109, expected_value: E12000006, label: geography} + - {column: D, row: 7109, expected_value: Females, label: sex} + - {column: E, row: 7109, expected_value: Self-employed, label: employment type} + - {column: J, row: 7109, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7113 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7113, expected_value: E12000006, label: geography} + - {column: D, row: 7113, expected_value: Females, label: sex} + - {column: E, row: 7113, expected_value: Self-employed, label: employment type} + - {column: J, row: 7113, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7115 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7115, expected_value: E12000006, label: geography} + - {column: D, row: 7115, expected_value: Females, label: sex} + - {column: E, row: 7115, expected_value: Self-employed, label: employment type} + - {column: J, row: 7115, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7125 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7125, expected_value: E12000006, label: geography} + - {column: D, row: 7125, expected_value: Females, label: sex} + - {column: E, row: 7125, expected_value: Self-employed, label: employment type} + - {column: J, row: 7125, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7129 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7129, expected_value: E12000006, label: geography} + - {column: D, row: 7129, expected_value: Females, label: sex} + - {column: E, row: 7129, expected_value: Self-employed, label: employment type} + - {column: J, row: 7129, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7130 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7130, expected_value: E12000007, label: geography} + - {column: D, row: 7130, expected_value: All persons, label: sex} + - {column: E, row: 7130, expected_value: Total, label: employment type} + - {column: J, row: 7130, expected_value: Value, label: measure} + - {column: L, row: 7131, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7132 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7132, expected_value: E12000007, label: geography} + - {column: D, row: 7132, expected_value: All persons, label: sex} + - {column: E, row: 7132, expected_value: Total, label: employment type} + - {column: J, row: 7132, expected_value: Value, label: measure} + - {column: L, row: 7133, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7134 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7134, expected_value: E12000007, label: geography} + - {column: D, row: 7134, expected_value: All persons, label: sex} + - {column: E, row: 7134, expected_value: Total, label: employment type} + - {column: J, row: 7134, expected_value: Value, label: measure} + - {column: L, row: 7135, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7136 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7136, expected_value: E12000007, label: geography} + - {column: D, row: 7136, expected_value: All persons, label: sex} + - {column: E, row: 7136, expected_value: Total, label: employment type} + - {column: J, row: 7136, expected_value: Value, label: measure} + - {column: L, row: 7137, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7138 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7138, expected_value: E12000007, label: geography} + - {column: D, row: 7138, expected_value: All persons, label: sex} + - {column: E, row: 7138, expected_value: Total, label: employment type} + - {column: J, row: 7138, expected_value: Value, label: measure} + - {column: L, row: 7139, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7140 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7140, expected_value: E12000007, label: geography} + - {column: D, row: 7140, expected_value: All persons, label: sex} + - {column: E, row: 7140, expected_value: Total, label: employment type} + - {column: J, row: 7140, expected_value: Value, label: measure} + - {column: L, row: 7141, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7142 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7142, expected_value: E12000007, label: geography} + - {column: D, row: 7142, expected_value: All persons, label: sex} + - {column: E, row: 7142, expected_value: Total, label: employment type} + - {column: J, row: 7142, expected_value: Value, label: measure} + - {column: L, row: 7143, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7144 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7144, expected_value: E12000007, label: geography} + - {column: D, row: 7144, expected_value: All persons, label: sex} + - {column: E, row: 7144, expected_value: Total, label: employment type} + - {column: J, row: 7144, expected_value: Value, label: measure} + - {column: L, row: 7145, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7146 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7146, expected_value: E12000007, label: geography} + - {column: D, row: 7146, expected_value: All persons, label: sex} + - {column: E, row: 7146, expected_value: Total, label: employment type} + - {column: J, row: 7146, expected_value: Value, label: measure} + - {column: L, row: 7147, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7148 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7148, expected_value: E12000007, label: geography} + - {column: D, row: 7148, expected_value: All persons, label: sex} + - {column: E, row: 7148, expected_value: Total, label: employment type} + - {column: J, row: 7148, expected_value: Value, label: measure} + - {column: L, row: 7149, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7150 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7150, expected_value: E12000007, label: geography} + - {column: D, row: 7150, expected_value: All persons, label: sex} + - {column: E, row: 7150, expected_value: Total, label: employment type} + - {column: J, row: 7150, expected_value: Value, label: measure} + - {column: L, row: 7151, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7152 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7152, expected_value: E12000007, label: geography} + - {column: D, row: 7152, expected_value: All persons, label: sex} + - {column: E, row: 7152, expected_value: Total, label: employment type} + - {column: J, row: 7152, expected_value: Value, label: measure} + - {column: L, row: 7153, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7154 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7154, expected_value: E12000007, label: geography} + - {column: D, row: 7154, expected_value: All persons, label: sex} + - {column: E, row: 7154, expected_value: Total, label: employment type} + - {column: J, row: 7154, expected_value: Value, label: measure} + - {column: L, row: 7155, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7156 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7156, expected_value: E12000007, label: geography} + - {column: D, row: 7156, expected_value: All persons, label: sex} + - {column: E, row: 7156, expected_value: Total, label: employment type} + - {column: J, row: 7156, expected_value: Value, label: measure} + - {column: L, row: 7157, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7158 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7158, expected_value: E12000007, label: geography} + - {column: D, row: 7158, expected_value: All persons, label: sex} + - {column: E, row: 7158, expected_value: Total, label: employment type} + - {column: J, row: 7158, expected_value: Value, label: measure} + - {column: L, row: 7159, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7160 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7160, expected_value: E12000007, label: geography} + - {column: D, row: 7160, expected_value: All persons, label: sex} + - {column: E, row: 7160, expected_value: Total, label: employment type} + - {column: J, row: 7160, expected_value: Value, label: measure} + - {column: L, row: 7161, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7162 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7162, expected_value: E12000007, label: geography} + - {column: D, row: 7162, expected_value: All persons, label: sex} + - {column: E, row: 7162, expected_value: Total, label: employment type} + - {column: J, row: 7162, expected_value: Value, label: measure} + - {column: L, row: 7163, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7164 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7164, expected_value: E12000007, label: geography} + - {column: D, row: 7164, expected_value: All persons, label: sex} + - {column: E, row: 7164, expected_value: Total, label: employment type} + - {column: J, row: 7164, expected_value: Value, label: measure} + - {column: L, row: 7165, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7166 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7166, expected_value: E12000007, label: geography} + - {column: D, row: 7166, expected_value: All persons, label: sex} + - {column: E, row: 7166, expected_value: Total, label: employment type} + - {column: J, row: 7166, expected_value: Value, label: measure} + - {column: L, row: 7167, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7168 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7168, expected_value: E12000007, label: geography} + - {column: D, row: 7168, expected_value: All persons, label: sex} + - {column: E, row: 7168, expected_value: Total, label: employment type} + - {column: J, row: 7168, expected_value: Value, label: measure} + - {column: L, row: 7169, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7170 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7170, expected_value: E12000007, label: geography} + - {column: D, row: 7170, expected_value: All persons, label: sex} + - {column: E, row: 7170, expected_value: Total, label: employment type} + - {column: J, row: 7170, expected_value: Value, label: measure} + - {column: L, row: 7171, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7172 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7172, expected_value: E12000007, label: geography} + - {column: D, row: 7172, expected_value: All persons, label: sex} + - {column: E, row: 7172, expected_value: Total, label: employment type} + - {column: J, row: 7172, expected_value: Value, label: measure} + - {column: L, row: 7173, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7174 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7174, expected_value: E12000007, label: geography} + - {column: D, row: 7174, expected_value: All persons, label: sex} + - {column: E, row: 7174, expected_value: Total, label: employment type} + - {column: J, row: 7174, expected_value: Value, label: measure} + - {column: L, row: 7175, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7176 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7176, expected_value: E12000007, label: geography} + - {column: D, row: 7176, expected_value: All persons, label: sex} + - {column: E, row: 7176, expected_value: Total, label: employment type} + - {column: J, row: 7176, expected_value: Value, label: measure} + - {column: L, row: 7177, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7178 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7178, expected_value: E12000007, label: geography} + - {column: D, row: 7178, expected_value: All persons, label: sex} + - {column: E, row: 7178, expected_value: Total, label: employment type} + - {column: J, row: 7178, expected_value: Value, label: measure} + - {column: L, row: 7179, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7180 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7180, expected_value: E12000007, label: geography} + - {column: D, row: 7180, expected_value: All persons, label: sex} + - {column: E, row: 7180, expected_value: Total, label: employment type} + - {column: J, row: 7180, expected_value: Value, label: measure} + - {column: L, row: 7181, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7182 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7182, expected_value: E12000007, label: geography} + - {column: D, row: 7182, expected_value: All persons, label: sex} + - {column: E, row: 7182, expected_value: Total, label: employment type} + - {column: J, row: 7182, expected_value: Value, label: measure} + - {column: L, row: 7183, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7184 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7184, expected_value: E12000007, label: geography} + - {column: D, row: 7184, expected_value: All persons, label: sex} + - {column: E, row: 7184, expected_value: Total, label: employment type} + - {column: J, row: 7184, expected_value: Value, label: measure} + - {column: L, row: 7185, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7186 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7186, expected_value: E12000007, label: geography} + - {column: D, row: 7186, expected_value: All persons, label: sex} + - {column: E, row: 7186, expected_value: Total, label: employment type} + - {column: J, row: 7186, expected_value: Value, label: measure} + - {column: L, row: 7187, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7188 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7188, expected_value: E12000007, label: geography} + - {column: D, row: 7188, expected_value: All persons, label: sex} + - {column: E, row: 7188, expected_value: Total, label: employment type} + - {column: J, row: 7188, expected_value: Value, label: measure} + - {column: L, row: 7189, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7190 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7190, expected_value: E12000007, label: geography} + - {column: D, row: 7190, expected_value: All persons, label: sex} + - {column: E, row: 7190, expected_value: Total, label: employment type} + - {column: J, row: 7190, expected_value: Value, label: measure} + - {column: L, row: 7191, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7192 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7192, expected_value: E12000007, label: geography} + - {column: D, row: 7192, expected_value: All persons, label: sex} + - {column: E, row: 7192, expected_value: Total, label: employment type} + - {column: J, row: 7192, expected_value: Value, label: measure} + - {column: L, row: 7193, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7194 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7194, expected_value: E12000007, label: geography} + - {column: D, row: 7194, expected_value: All persons, label: sex} + - {column: E, row: 7194, expected_value: Total, label: employment type} + - {column: J, row: 7194, expected_value: Value, label: measure} + - {column: L, row: 7195, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7196 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7196, expected_value: E12000007, label: geography} + - {column: D, row: 7196, expected_value: All persons, label: sex} + - {column: E, row: 7196, expected_value: Total, label: employment type} + - {column: J, row: 7196, expected_value: Value, label: measure} + - {column: L, row: 7197, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7198 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7198, expected_value: E12000007, label: geography} + - {column: D, row: 7198, expected_value: All persons, label: sex} + - {column: E, row: 7198, expected_value: Total, label: employment type} + - {column: J, row: 7198, expected_value: Value, label: measure} + - {column: L, row: 7199, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7200 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7200, expected_value: E12000007, label: geography} + - {column: D, row: 7200, expected_value: All persons, label: sex} + - {column: E, row: 7200, expected_value: Total, label: employment type} + - {column: J, row: 7200, expected_value: Value, label: measure} + - {column: L, row: 7201, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7131 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7131, expected_value: E12000007, label: geography} + - {column: D, row: 7131, expected_value: All persons, label: sex} + - {column: E, row: 7131, expected_value: Total, label: employment type} + - {column: J, row: 7131, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7133 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7133, expected_value: E12000007, label: geography} + - {column: D, row: 7133, expected_value: All persons, label: sex} + - {column: E, row: 7133, expected_value: Total, label: employment type} + - {column: J, row: 7133, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7135 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7135, expected_value: E12000007, label: geography} + - {column: D, row: 7135, expected_value: All persons, label: sex} + - {column: E, row: 7135, expected_value: Total, label: employment type} + - {column: J, row: 7135, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7137 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7137, expected_value: E12000007, label: geography} + - {column: D, row: 7137, expected_value: All persons, label: sex} + - {column: E, row: 7137, expected_value: Total, label: employment type} + - {column: J, row: 7137, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7139 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7139, expected_value: E12000007, label: geography} + - {column: D, row: 7139, expected_value: All persons, label: sex} + - {column: E, row: 7139, expected_value: Total, label: employment type} + - {column: J, row: 7139, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7141 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7141, expected_value: E12000007, label: geography} + - {column: D, row: 7141, expected_value: All persons, label: sex} + - {column: E, row: 7141, expected_value: Total, label: employment type} + - {column: J, row: 7141, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7143 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7143, expected_value: E12000007, label: geography} + - {column: D, row: 7143, expected_value: All persons, label: sex} + - {column: E, row: 7143, expected_value: Total, label: employment type} + - {column: J, row: 7143, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7145 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7145, expected_value: E12000007, label: geography} + - {column: D, row: 7145, expected_value: All persons, label: sex} + - {column: E, row: 7145, expected_value: Total, label: employment type} + - {column: J, row: 7145, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7147 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7147, expected_value: E12000007, label: geography} + - {column: D, row: 7147, expected_value: All persons, label: sex} + - {column: E, row: 7147, expected_value: Total, label: employment type} + - {column: J, row: 7147, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7149 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7149, expected_value: E12000007, label: geography} + - {column: D, row: 7149, expected_value: All persons, label: sex} + - {column: E, row: 7149, expected_value: Total, label: employment type} + - {column: J, row: 7149, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7151 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7151, expected_value: E12000007, label: geography} + - {column: D, row: 7151, expected_value: All persons, label: sex} + - {column: E, row: 7151, expected_value: Total, label: employment type} + - {column: J, row: 7151, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7153 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7153, expected_value: E12000007, label: geography} + - {column: D, row: 7153, expected_value: All persons, label: sex} + - {column: E, row: 7153, expected_value: Total, label: employment type} + - {column: J, row: 7153, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7155 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7155, expected_value: E12000007, label: geography} + - {column: D, row: 7155, expected_value: All persons, label: sex} + - {column: E, row: 7155, expected_value: Total, label: employment type} + - {column: J, row: 7155, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7157 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7157, expected_value: E12000007, label: geography} + - {column: D, row: 7157, expected_value: All persons, label: sex} + - {column: E, row: 7157, expected_value: Total, label: employment type} + - {column: J, row: 7157, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7159 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7159, expected_value: E12000007, label: geography} + - {column: D, row: 7159, expected_value: All persons, label: sex} + - {column: E, row: 7159, expected_value: Total, label: employment type} + - {column: J, row: 7159, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7161 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7161, expected_value: E12000007, label: geography} + - {column: D, row: 7161, expected_value: All persons, label: sex} + - {column: E, row: 7161, expected_value: Total, label: employment type} + - {column: J, row: 7161, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7163 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7163, expected_value: E12000007, label: geography} + - {column: D, row: 7163, expected_value: All persons, label: sex} + - {column: E, row: 7163, expected_value: Total, label: employment type} + - {column: J, row: 7163, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7165 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7165, expected_value: E12000007, label: geography} + - {column: D, row: 7165, expected_value: All persons, label: sex} + - {column: E, row: 7165, expected_value: Total, label: employment type} + - {column: J, row: 7165, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7167 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7167, expected_value: E12000007, label: geography} + - {column: D, row: 7167, expected_value: All persons, label: sex} + - {column: E, row: 7167, expected_value: Total, label: employment type} + - {column: J, row: 7167, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7169 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7169, expected_value: E12000007, label: geography} + - {column: D, row: 7169, expected_value: All persons, label: sex} + - {column: E, row: 7169, expected_value: Total, label: employment type} + - {column: J, row: 7169, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7171 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7171, expected_value: E12000007, label: geography} + - {column: D, row: 7171, expected_value: All persons, label: sex} + - {column: E, row: 7171, expected_value: Total, label: employment type} + - {column: J, row: 7171, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7173 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7173, expected_value: E12000007, label: geography} + - {column: D, row: 7173, expected_value: All persons, label: sex} + - {column: E, row: 7173, expected_value: Total, label: employment type} + - {column: J, row: 7173, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7175 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7175, expected_value: E12000007, label: geography} + - {column: D, row: 7175, expected_value: All persons, label: sex} + - {column: E, row: 7175, expected_value: Total, label: employment type} + - {column: J, row: 7175, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7177 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7177, expected_value: E12000007, label: geography} + - {column: D, row: 7177, expected_value: All persons, label: sex} + - {column: E, row: 7177, expected_value: Total, label: employment type} + - {column: J, row: 7177, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7179 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7179, expected_value: E12000007, label: geography} + - {column: D, row: 7179, expected_value: All persons, label: sex} + - {column: E, row: 7179, expected_value: Total, label: employment type} + - {column: J, row: 7179, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7181 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7181, expected_value: E12000007, label: geography} + - {column: D, row: 7181, expected_value: All persons, label: sex} + - {column: E, row: 7181, expected_value: Total, label: employment type} + - {column: J, row: 7181, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7185 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7185, expected_value: E12000007, label: geography} + - {column: D, row: 7185, expected_value: All persons, label: sex} + - {column: E, row: 7185, expected_value: Total, label: employment type} + - {column: J, row: 7185, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7187 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7187, expected_value: E12000007, label: geography} + - {column: D, row: 7187, expected_value: All persons, label: sex} + - {column: E, row: 7187, expected_value: Total, label: employment type} + - {column: J, row: 7187, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7189 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7189, expected_value: E12000007, label: geography} + - {column: D, row: 7189, expected_value: All persons, label: sex} + - {column: E, row: 7189, expected_value: Total, label: employment type} + - {column: J, row: 7189, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7191 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7191, expected_value: E12000007, label: geography} + - {column: D, row: 7191, expected_value: All persons, label: sex} + - {column: E, row: 7191, expected_value: Total, label: employment type} + - {column: J, row: 7191, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7193 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7193, expected_value: E12000007, label: geography} + - {column: D, row: 7193, expected_value: All persons, label: sex} + - {column: E, row: 7193, expected_value: Total, label: employment type} + - {column: J, row: 7193, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7195 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7195, expected_value: E12000007, label: geography} + - {column: D, row: 7195, expected_value: All persons, label: sex} + - {column: E, row: 7195, expected_value: Total, label: employment type} + - {column: J, row: 7195, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7197 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7197, expected_value: E12000007, label: geography} + - {column: D, row: 7197, expected_value: All persons, label: sex} + - {column: E, row: 7197, expected_value: Total, label: employment type} + - {column: J, row: 7197, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7199 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7199, expected_value: E12000007, label: geography} + - {column: D, row: 7199, expected_value: All persons, label: sex} + - {column: E, row: 7199, expected_value: Total, label: employment type} + - {column: J, row: 7199, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7201 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7201, expected_value: E12000007, label: geography} + - {column: D, row: 7201, expected_value: All persons, label: sex} + - {column: E, row: 7201, expected_value: Total, label: employment type} + - {column: J, row: 7201, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7346 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7346, expected_value: E12000007, label: geography} + - {column: D, row: 7346, expected_value: All persons, label: sex} + - {column: E, row: 7346, expected_value: Employee, label: employment type} + - {column: J, row: 7346, expected_value: Value, label: measure} + - {column: L, row: 7347, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7348 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7348, expected_value: E12000007, label: geography} + - {column: D, row: 7348, expected_value: All persons, label: sex} + - {column: E, row: 7348, expected_value: Employee, label: employment type} + - {column: J, row: 7348, expected_value: Value, label: measure} + - {column: L, row: 7349, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7350 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7350, expected_value: E12000007, label: geography} + - {column: D, row: 7350, expected_value: All persons, label: sex} + - {column: E, row: 7350, expected_value: Employee, label: employment type} + - {column: J, row: 7350, expected_value: Value, label: measure} + - {column: L, row: 7351, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7352 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7352, expected_value: E12000007, label: geography} + - {column: D, row: 7352, expected_value: All persons, label: sex} + - {column: E, row: 7352, expected_value: Employee, label: employment type} + - {column: J, row: 7352, expected_value: Value, label: measure} + - {column: L, row: 7353, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7354 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7354, expected_value: E12000007, label: geography} + - {column: D, row: 7354, expected_value: All persons, label: sex} + - {column: E, row: 7354, expected_value: Employee, label: employment type} + - {column: J, row: 7354, expected_value: Value, label: measure} + - {column: L, row: 7355, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7356 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7356, expected_value: E12000007, label: geography} + - {column: D, row: 7356, expected_value: All persons, label: sex} + - {column: E, row: 7356, expected_value: Employee, label: employment type} + - {column: J, row: 7356, expected_value: Value, label: measure} + - {column: L, row: 7357, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7358 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7358, expected_value: E12000007, label: geography} + - {column: D, row: 7358, expected_value: All persons, label: sex} + - {column: E, row: 7358, expected_value: Employee, label: employment type} + - {column: J, row: 7358, expected_value: Value, label: measure} + - {column: L, row: 7359, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7360 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7360, expected_value: E12000007, label: geography} + - {column: D, row: 7360, expected_value: All persons, label: sex} + - {column: E, row: 7360, expected_value: Employee, label: employment type} + - {column: J, row: 7360, expected_value: Value, label: measure} + - {column: L, row: 7361, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7362 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7362, expected_value: E12000007, label: geography} + - {column: D, row: 7362, expected_value: All persons, label: sex} + - {column: E, row: 7362, expected_value: Employee, label: employment type} + - {column: J, row: 7362, expected_value: Value, label: measure} + - {column: L, row: 7363, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7364 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7364, expected_value: E12000007, label: geography} + - {column: D, row: 7364, expected_value: All persons, label: sex} + - {column: E, row: 7364, expected_value: Employee, label: employment type} + - {column: J, row: 7364, expected_value: Value, label: measure} + - {column: L, row: 7365, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7366 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7366, expected_value: E12000007, label: geography} + - {column: D, row: 7366, expected_value: All persons, label: sex} + - {column: E, row: 7366, expected_value: Employee, label: employment type} + - {column: J, row: 7366, expected_value: Value, label: measure} + - {column: L, row: 7367, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7368 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7368, expected_value: E12000007, label: geography} + - {column: D, row: 7368, expected_value: All persons, label: sex} + - {column: E, row: 7368, expected_value: Employee, label: employment type} + - {column: J, row: 7368, expected_value: Value, label: measure} + - {column: L, row: 7369, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7370 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7370, expected_value: E12000007, label: geography} + - {column: D, row: 7370, expected_value: All persons, label: sex} + - {column: E, row: 7370, expected_value: Employee, label: employment type} + - {column: J, row: 7370, expected_value: Value, label: measure} + - {column: L, row: 7371, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7372 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7372, expected_value: E12000007, label: geography} + - {column: D, row: 7372, expected_value: All persons, label: sex} + - {column: E, row: 7372, expected_value: Employee, label: employment type} + - {column: J, row: 7372, expected_value: Value, label: measure} + - {column: L, row: 7373, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7374 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7374, expected_value: E12000007, label: geography} + - {column: D, row: 7374, expected_value: All persons, label: sex} + - {column: E, row: 7374, expected_value: Employee, label: employment type} + - {column: J, row: 7374, expected_value: Value, label: measure} + - {column: L, row: 7375, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7376 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7376, expected_value: E12000007, label: geography} + - {column: D, row: 7376, expected_value: All persons, label: sex} + - {column: E, row: 7376, expected_value: Employee, label: employment type} + - {column: J, row: 7376, expected_value: Value, label: measure} + - {column: L, row: 7377, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7378 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7378, expected_value: E12000007, label: geography} + - {column: D, row: 7378, expected_value: All persons, label: sex} + - {column: E, row: 7378, expected_value: Employee, label: employment type} + - {column: J, row: 7378, expected_value: Value, label: measure} + - {column: L, row: 7379, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7380 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7380, expected_value: E12000007, label: geography} + - {column: D, row: 7380, expected_value: All persons, label: sex} + - {column: E, row: 7380, expected_value: Employee, label: employment type} + - {column: J, row: 7380, expected_value: Value, label: measure} + - {column: L, row: 7381, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7382 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7382, expected_value: E12000007, label: geography} + - {column: D, row: 7382, expected_value: All persons, label: sex} + - {column: E, row: 7382, expected_value: Employee, label: employment type} + - {column: J, row: 7382, expected_value: Value, label: measure} + - {column: L, row: 7383, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7384 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7384, expected_value: E12000007, label: geography} + - {column: D, row: 7384, expected_value: All persons, label: sex} + - {column: E, row: 7384, expected_value: Employee, label: employment type} + - {column: J, row: 7384, expected_value: Value, label: measure} + - {column: L, row: 7385, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7386 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7386, expected_value: E12000007, label: geography} + - {column: D, row: 7386, expected_value: All persons, label: sex} + - {column: E, row: 7386, expected_value: Employee, label: employment type} + - {column: J, row: 7386, expected_value: Value, label: measure} + - {column: L, row: 7387, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7388 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7388, expected_value: E12000007, label: geography} + - {column: D, row: 7388, expected_value: All persons, label: sex} + - {column: E, row: 7388, expected_value: Employee, label: employment type} + - {column: J, row: 7388, expected_value: Value, label: measure} + - {column: L, row: 7389, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7390 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7390, expected_value: E12000007, label: geography} + - {column: D, row: 7390, expected_value: All persons, label: sex} + - {column: E, row: 7390, expected_value: Employee, label: employment type} + - {column: J, row: 7390, expected_value: Value, label: measure} + - {column: L, row: 7391, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7392 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7392, expected_value: E12000007, label: geography} + - {column: D, row: 7392, expected_value: All persons, label: sex} + - {column: E, row: 7392, expected_value: Employee, label: employment type} + - {column: J, row: 7392, expected_value: Value, label: measure} + - {column: L, row: 7393, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7394 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7394, expected_value: E12000007, label: geography} + - {column: D, row: 7394, expected_value: All persons, label: sex} + - {column: E, row: 7394, expected_value: Employee, label: employment type} + - {column: J, row: 7394, expected_value: Value, label: measure} + - {column: L, row: 7395, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7396 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7396, expected_value: E12000007, label: geography} + - {column: D, row: 7396, expected_value: All persons, label: sex} + - {column: E, row: 7396, expected_value: Employee, label: employment type} + - {column: J, row: 7396, expected_value: Value, label: measure} + - {column: L, row: 7397, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7398 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7398, expected_value: E12000007, label: geography} + - {column: D, row: 7398, expected_value: All persons, label: sex} + - {column: E, row: 7398, expected_value: Employee, label: employment type} + - {column: J, row: 7398, expected_value: Value, label: measure} + - {column: L, row: 7399, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7400 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7400, expected_value: E12000007, label: geography} + - {column: D, row: 7400, expected_value: All persons, label: sex} + - {column: E, row: 7400, expected_value: Employee, label: employment type} + - {column: J, row: 7400, expected_value: Value, label: measure} + - {column: L, row: 7401, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7402 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7402, expected_value: E12000007, label: geography} + - {column: D, row: 7402, expected_value: All persons, label: sex} + - {column: E, row: 7402, expected_value: Employee, label: employment type} + - {column: J, row: 7402, expected_value: Value, label: measure} + - {column: L, row: 7403, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7404 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7404, expected_value: E12000007, label: geography} + - {column: D, row: 7404, expected_value: All persons, label: sex} + - {column: E, row: 7404, expected_value: Employee, label: employment type} + - {column: J, row: 7404, expected_value: Value, label: measure} + - {column: L, row: 7405, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7406 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7406, expected_value: E12000007, label: geography} + - {column: D, row: 7406, expected_value: All persons, label: sex} + - {column: E, row: 7406, expected_value: Employee, label: employment type} + - {column: J, row: 7406, expected_value: Value, label: measure} + - {column: L, row: 7407, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7408 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7408, expected_value: E12000007, label: geography} + - {column: D, row: 7408, expected_value: All persons, label: sex} + - {column: E, row: 7408, expected_value: Employee, label: employment type} + - {column: J, row: 7408, expected_value: Value, label: measure} + - {column: L, row: 7409, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7410 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7410, expected_value: E12000007, label: geography} + - {column: D, row: 7410, expected_value: All persons, label: sex} + - {column: E, row: 7410, expected_value: Employee, label: employment type} + - {column: J, row: 7410, expected_value: Value, label: measure} + - {column: L, row: 7411, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7412 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7412, expected_value: E12000007, label: geography} + - {column: D, row: 7412, expected_value: All persons, label: sex} + - {column: E, row: 7412, expected_value: Employee, label: employment type} + - {column: J, row: 7412, expected_value: Value, label: measure} + - {column: L, row: 7413, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7414 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7414, expected_value: E12000007, label: geography} + - {column: D, row: 7414, expected_value: All persons, label: sex} + - {column: E, row: 7414, expected_value: Employee, label: employment type} + - {column: J, row: 7414, expected_value: Value, label: measure} + - {column: L, row: 7415, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7416 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7416, expected_value: E12000007, label: geography} + - {column: D, row: 7416, expected_value: All persons, label: sex} + - {column: E, row: 7416, expected_value: Employee, label: employment type} + - {column: J, row: 7416, expected_value: Value, label: measure} + - {column: L, row: 7417, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7347 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7347, expected_value: E12000007, label: geography} + - {column: D, row: 7347, expected_value: All persons, label: sex} + - {column: E, row: 7347, expected_value: Employee, label: employment type} + - {column: J, row: 7347, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7349 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7349, expected_value: E12000007, label: geography} + - {column: D, row: 7349, expected_value: All persons, label: sex} + - {column: E, row: 7349, expected_value: Employee, label: employment type} + - {column: J, row: 7349, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7351 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7351, expected_value: E12000007, label: geography} + - {column: D, row: 7351, expected_value: All persons, label: sex} + - {column: E, row: 7351, expected_value: Employee, label: employment type} + - {column: J, row: 7351, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7353 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7353, expected_value: E12000007, label: geography} + - {column: D, row: 7353, expected_value: All persons, label: sex} + - {column: E, row: 7353, expected_value: Employee, label: employment type} + - {column: J, row: 7353, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7355 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7355, expected_value: E12000007, label: geography} + - {column: D, row: 7355, expected_value: All persons, label: sex} + - {column: E, row: 7355, expected_value: Employee, label: employment type} + - {column: J, row: 7355, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7357 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7357, expected_value: E12000007, label: geography} + - {column: D, row: 7357, expected_value: All persons, label: sex} + - {column: E, row: 7357, expected_value: Employee, label: employment type} + - {column: J, row: 7357, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7359 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7359, expected_value: E12000007, label: geography} + - {column: D, row: 7359, expected_value: All persons, label: sex} + - {column: E, row: 7359, expected_value: Employee, label: employment type} + - {column: J, row: 7359, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7361 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7361, expected_value: E12000007, label: geography} + - {column: D, row: 7361, expected_value: All persons, label: sex} + - {column: E, row: 7361, expected_value: Employee, label: employment type} + - {column: J, row: 7361, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7363 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7363, expected_value: E12000007, label: geography} + - {column: D, row: 7363, expected_value: All persons, label: sex} + - {column: E, row: 7363, expected_value: Employee, label: employment type} + - {column: J, row: 7363, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7365 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7365, expected_value: E12000007, label: geography} + - {column: D, row: 7365, expected_value: All persons, label: sex} + - {column: E, row: 7365, expected_value: Employee, label: employment type} + - {column: J, row: 7365, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7367 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7367, expected_value: E12000007, label: geography} + - {column: D, row: 7367, expected_value: All persons, label: sex} + - {column: E, row: 7367, expected_value: Employee, label: employment type} + - {column: J, row: 7367, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7369 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7369, expected_value: E12000007, label: geography} + - {column: D, row: 7369, expected_value: All persons, label: sex} + - {column: E, row: 7369, expected_value: Employee, label: employment type} + - {column: J, row: 7369, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7371 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7371, expected_value: E12000007, label: geography} + - {column: D, row: 7371, expected_value: All persons, label: sex} + - {column: E, row: 7371, expected_value: Employee, label: employment type} + - {column: J, row: 7371, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7373 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7373, expected_value: E12000007, label: geography} + - {column: D, row: 7373, expected_value: All persons, label: sex} + - {column: E, row: 7373, expected_value: Employee, label: employment type} + - {column: J, row: 7373, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7375 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7375, expected_value: E12000007, label: geography} + - {column: D, row: 7375, expected_value: All persons, label: sex} + - {column: E, row: 7375, expected_value: Employee, label: employment type} + - {column: J, row: 7375, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7377 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7377, expected_value: E12000007, label: geography} + - {column: D, row: 7377, expected_value: All persons, label: sex} + - {column: E, row: 7377, expected_value: Employee, label: employment type} + - {column: J, row: 7377, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7379 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7379, expected_value: E12000007, label: geography} + - {column: D, row: 7379, expected_value: All persons, label: sex} + - {column: E, row: 7379, expected_value: Employee, label: employment type} + - {column: J, row: 7379, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7381 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7381, expected_value: E12000007, label: geography} + - {column: D, row: 7381, expected_value: All persons, label: sex} + - {column: E, row: 7381, expected_value: Employee, label: employment type} + - {column: J, row: 7381, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7383 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7383, expected_value: E12000007, label: geography} + - {column: D, row: 7383, expected_value: All persons, label: sex} + - {column: E, row: 7383, expected_value: Employee, label: employment type} + - {column: J, row: 7383, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7387 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7387, expected_value: E12000007, label: geography} + - {column: D, row: 7387, expected_value: All persons, label: sex} + - {column: E, row: 7387, expected_value: Employee, label: employment type} + - {column: J, row: 7387, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7389 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7389, expected_value: E12000007, label: geography} + - {column: D, row: 7389, expected_value: All persons, label: sex} + - {column: E, row: 7389, expected_value: Employee, label: employment type} + - {column: J, row: 7389, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7391 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7391, expected_value: E12000007, label: geography} + - {column: D, row: 7391, expected_value: All persons, label: sex} + - {column: E, row: 7391, expected_value: Employee, label: employment type} + - {column: J, row: 7391, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7393 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7393, expected_value: E12000007, label: geography} + - {column: D, row: 7393, expected_value: All persons, label: sex} + - {column: E, row: 7393, expected_value: Employee, label: employment type} + - {column: J, row: 7393, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7395 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7395, expected_value: E12000007, label: geography} + - {column: D, row: 7395, expected_value: All persons, label: sex} + - {column: E, row: 7395, expected_value: Employee, label: employment type} + - {column: J, row: 7395, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7397 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7397, expected_value: E12000007, label: geography} + - {column: D, row: 7397, expected_value: All persons, label: sex} + - {column: E, row: 7397, expected_value: Employee, label: employment type} + - {column: J, row: 7397, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7401 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7401, expected_value: E12000007, label: geography} + - {column: D, row: 7401, expected_value: All persons, label: sex} + - {column: E, row: 7401, expected_value: Employee, label: employment type} + - {column: J, row: 7401, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7403 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7403, expected_value: E12000007, label: geography} + - {column: D, row: 7403, expected_value: All persons, label: sex} + - {column: E, row: 7403, expected_value: Employee, label: employment type} + - {column: J, row: 7403, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7405 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7405, expected_value: E12000007, label: geography} + - {column: D, row: 7405, expected_value: All persons, label: sex} + - {column: E, row: 7405, expected_value: Employee, label: employment type} + - {column: J, row: 7405, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7407 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7407, expected_value: E12000007, label: geography} + - {column: D, row: 7407, expected_value: All persons, label: sex} + - {column: E, row: 7407, expected_value: Employee, label: employment type} + - {column: J, row: 7407, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7409 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7409, expected_value: E12000007, label: geography} + - {column: D, row: 7409, expected_value: All persons, label: sex} + - {column: E, row: 7409, expected_value: Employee, label: employment type} + - {column: J, row: 7409, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7411 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7411, expected_value: E12000007, label: geography} + - {column: D, row: 7411, expected_value: All persons, label: sex} + - {column: E, row: 7411, expected_value: Employee, label: employment type} + - {column: J, row: 7411, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7413 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7413, expected_value: E12000007, label: geography} + - {column: D, row: 7413, expected_value: All persons, label: sex} + - {column: E, row: 7413, expected_value: Employee, label: employment type} + - {column: J, row: 7413, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7415 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7415, expected_value: E12000007, label: geography} + - {column: D, row: 7415, expected_value: All persons, label: sex} + - {column: E, row: 7415, expected_value: Employee, label: employment type} + - {column: J, row: 7415, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7417 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7417, expected_value: E12000007, label: geography} + - {column: D, row: 7417, expected_value: All persons, label: sex} + - {column: E, row: 7417, expected_value: Employee, label: employment type} + - {column: J, row: 7417, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7562 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7562, expected_value: E12000007, label: geography} + - {column: D, row: 7562, expected_value: All persons, label: sex} + - {column: E, row: 7562, expected_value: Self-employed, label: employment type} + - {column: J, row: 7562, expected_value: Value, label: measure} + - {column: L, row: 7563, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7564 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7564, expected_value: E12000007, label: geography} + - {column: D, row: 7564, expected_value: All persons, label: sex} + - {column: E, row: 7564, expected_value: Self-employed, label: employment type} + - {column: J, row: 7564, expected_value: Value, label: measure} + - {column: L, row: 7565, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7566 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7566, expected_value: E12000007, label: geography} + - {column: D, row: 7566, expected_value: All persons, label: sex} + - {column: E, row: 7566, expected_value: Self-employed, label: employment type} + - {column: J, row: 7566, expected_value: Value, label: measure} + - {column: L, row: 7567, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7568 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7568, expected_value: E12000007, label: geography} + - {column: D, row: 7568, expected_value: All persons, label: sex} + - {column: E, row: 7568, expected_value: Self-employed, label: employment type} + - {column: J, row: 7568, expected_value: Value, label: measure} + - {column: L, row: 7569, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7570 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7570, expected_value: E12000007, label: geography} + - {column: D, row: 7570, expected_value: All persons, label: sex} + - {column: E, row: 7570, expected_value: Self-employed, label: employment type} + - {column: J, row: 7570, expected_value: Value, label: measure} + - {column: L, row: 7571, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7572 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7572, expected_value: E12000007, label: geography} + - {column: D, row: 7572, expected_value: All persons, label: sex} + - {column: E, row: 7572, expected_value: Self-employed, label: employment type} + - {column: J, row: 7572, expected_value: Value, label: measure} + - {column: L, row: 7573, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7574 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7574, expected_value: E12000007, label: geography} + - {column: D, row: 7574, expected_value: All persons, label: sex} + - {column: E, row: 7574, expected_value: Self-employed, label: employment type} + - {column: J, row: 7574, expected_value: Value, label: measure} + - {column: L, row: 7575, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7576 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7576, expected_value: E12000007, label: geography} + - {column: D, row: 7576, expected_value: All persons, label: sex} + - {column: E, row: 7576, expected_value: Self-employed, label: employment type} + - {column: J, row: 7576, expected_value: Value, label: measure} + - {column: L, row: 7577, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7578 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7578, expected_value: E12000007, label: geography} + - {column: D, row: 7578, expected_value: All persons, label: sex} + - {column: E, row: 7578, expected_value: Self-employed, label: employment type} + - {column: J, row: 7578, expected_value: Value, label: measure} + - {column: L, row: 7579, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7580 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7580, expected_value: E12000007, label: geography} + - {column: D, row: 7580, expected_value: All persons, label: sex} + - {column: E, row: 7580, expected_value: Self-employed, label: employment type} + - {column: J, row: 7580, expected_value: Value, label: measure} + - {column: L, row: 7581, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7582 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7582, expected_value: E12000007, label: geography} + - {column: D, row: 7582, expected_value: All persons, label: sex} + - {column: E, row: 7582, expected_value: Self-employed, label: employment type} + - {column: J, row: 7582, expected_value: Value, label: measure} + - {column: L, row: 7583, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7584 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7584, expected_value: E12000007, label: geography} + - {column: D, row: 7584, expected_value: All persons, label: sex} + - {column: E, row: 7584, expected_value: Self-employed, label: employment type} + - {column: J, row: 7584, expected_value: Value, label: measure} + - {column: L, row: 7585, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7586 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7586, expected_value: E12000007, label: geography} + - {column: D, row: 7586, expected_value: All persons, label: sex} + - {column: E, row: 7586, expected_value: Self-employed, label: employment type} + - {column: J, row: 7586, expected_value: Value, label: measure} + - {column: L, row: 7587, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7588 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7588, expected_value: E12000007, label: geography} + - {column: D, row: 7588, expected_value: All persons, label: sex} + - {column: E, row: 7588, expected_value: Self-employed, label: employment type} + - {column: J, row: 7588, expected_value: Value, label: measure} + - {column: L, row: 7589, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7590 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7590, expected_value: E12000007, label: geography} + - {column: D, row: 7590, expected_value: All persons, label: sex} + - {column: E, row: 7590, expected_value: Self-employed, label: employment type} + - {column: J, row: 7590, expected_value: Value, label: measure} + - {column: L, row: 7591, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7592 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7592, expected_value: E12000007, label: geography} + - {column: D, row: 7592, expected_value: All persons, label: sex} + - {column: E, row: 7592, expected_value: Self-employed, label: employment type} + - {column: J, row: 7592, expected_value: Value, label: measure} + - {column: L, row: 7593, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7594 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7594, expected_value: E12000007, label: geography} + - {column: D, row: 7594, expected_value: All persons, label: sex} + - {column: E, row: 7594, expected_value: Self-employed, label: employment type} + - {column: J, row: 7594, expected_value: Value, label: measure} + - {column: L, row: 7595, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7596 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7596, expected_value: E12000007, label: geography} + - {column: D, row: 7596, expected_value: All persons, label: sex} + - {column: E, row: 7596, expected_value: Self-employed, label: employment type} + - {column: J, row: 7596, expected_value: Value, label: measure} + - {column: L, row: 7597, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7598 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7598, expected_value: E12000007, label: geography} + - {column: D, row: 7598, expected_value: All persons, label: sex} + - {column: E, row: 7598, expected_value: Self-employed, label: employment type} + - {column: J, row: 7598, expected_value: Value, label: measure} + - {column: L, row: 7599, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7600 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7600, expected_value: E12000007, label: geography} + - {column: D, row: 7600, expected_value: All persons, label: sex} + - {column: E, row: 7600, expected_value: Self-employed, label: employment type} + - {column: J, row: 7600, expected_value: Value, label: measure} + - {column: L, row: 7601, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7602 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7602, expected_value: E12000007, label: geography} + - {column: D, row: 7602, expected_value: All persons, label: sex} + - {column: E, row: 7602, expected_value: Self-employed, label: employment type} + - {column: J, row: 7602, expected_value: Value, label: measure} + - {column: L, row: 7603, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7604 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7604, expected_value: E12000007, label: geography} + - {column: D, row: 7604, expected_value: All persons, label: sex} + - {column: E, row: 7604, expected_value: Self-employed, label: employment type} + - {column: J, row: 7604, expected_value: Value, label: measure} + - {column: L, row: 7605, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7606 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7606, expected_value: E12000007, label: geography} + - {column: D, row: 7606, expected_value: All persons, label: sex} + - {column: E, row: 7606, expected_value: Self-employed, label: employment type} + - {column: J, row: 7606, expected_value: Value, label: measure} + - {column: L, row: 7607, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7608 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7608, expected_value: E12000007, label: geography} + - {column: D, row: 7608, expected_value: All persons, label: sex} + - {column: E, row: 7608, expected_value: Self-employed, label: employment type} + - {column: J, row: 7608, expected_value: Value, label: measure} + - {column: L, row: 7609, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7610 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7610, expected_value: E12000007, label: geography} + - {column: D, row: 7610, expected_value: All persons, label: sex} + - {column: E, row: 7610, expected_value: Self-employed, label: employment type} + - {column: J, row: 7610, expected_value: Value, label: measure} + - {column: L, row: 7611, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7612 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7612, expected_value: E12000007, label: geography} + - {column: D, row: 7612, expected_value: All persons, label: sex} + - {column: E, row: 7612, expected_value: Self-employed, label: employment type} + - {column: J, row: 7612, expected_value: Value, label: measure} + - {column: L, row: 7613, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7616 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7616, expected_value: E12000007, label: geography} + - {column: D, row: 7616, expected_value: All persons, label: sex} + - {column: E, row: 7616, expected_value: Self-employed, label: employment type} + - {column: J, row: 7616, expected_value: Value, label: measure} + - {column: L, row: 7617, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7618 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7618, expected_value: E12000007, label: geography} + - {column: D, row: 7618, expected_value: All persons, label: sex} + - {column: E, row: 7618, expected_value: Self-employed, label: employment type} + - {column: J, row: 7618, expected_value: Value, label: measure} + - {column: L, row: 7619, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7620 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7620, expected_value: E12000007, label: geography} + - {column: D, row: 7620, expected_value: All persons, label: sex} + - {column: E, row: 7620, expected_value: Self-employed, label: employment type} + - {column: J, row: 7620, expected_value: Value, label: measure} + - {column: L, row: 7621, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7622 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7622, expected_value: E12000007, label: geography} + - {column: D, row: 7622, expected_value: All persons, label: sex} + - {column: E, row: 7622, expected_value: Self-employed, label: employment type} + - {column: J, row: 7622, expected_value: Value, label: measure} + - {column: L, row: 7623, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7624 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7624, expected_value: E12000007, label: geography} + - {column: D, row: 7624, expected_value: All persons, label: sex} + - {column: E, row: 7624, expected_value: Self-employed, label: employment type} + - {column: J, row: 7624, expected_value: Value, label: measure} + - {column: L, row: 7625, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7626 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7626, expected_value: E12000007, label: geography} + - {column: D, row: 7626, expected_value: All persons, label: sex} + - {column: E, row: 7626, expected_value: Self-employed, label: employment type} + - {column: J, row: 7626, expected_value: Value, label: measure} + - {column: L, row: 7627, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7628 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7628, expected_value: E12000007, label: geography} + - {column: D, row: 7628, expected_value: All persons, label: sex} + - {column: E, row: 7628, expected_value: Self-employed, label: employment type} + - {column: J, row: 7628, expected_value: Value, label: measure} + - {column: L, row: 7629, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7630 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7630, expected_value: E12000007, label: geography} + - {column: D, row: 7630, expected_value: All persons, label: sex} + - {column: E, row: 7630, expected_value: Self-employed, label: employment type} + - {column: J, row: 7630, expected_value: Value, label: measure} + - {column: L, row: 7631, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7632 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7632, expected_value: E12000007, label: geography} + - {column: D, row: 7632, expected_value: All persons, label: sex} + - {column: E, row: 7632, expected_value: Self-employed, label: employment type} + - {column: J, row: 7632, expected_value: Value, label: measure} + - {column: L, row: 7633, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7563 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7563, expected_value: E12000007, label: geography} + - {column: D, row: 7563, expected_value: All persons, label: sex} + - {column: E, row: 7563, expected_value: Self-employed, label: employment type} + - {column: J, row: 7563, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7565 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7565, expected_value: E12000007, label: geography} + - {column: D, row: 7565, expected_value: All persons, label: sex} + - {column: E, row: 7565, expected_value: Self-employed, label: employment type} + - {column: J, row: 7565, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7567 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7567, expected_value: E12000007, label: geography} + - {column: D, row: 7567, expected_value: All persons, label: sex} + - {column: E, row: 7567, expected_value: Self-employed, label: employment type} + - {column: J, row: 7567, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7569 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7569, expected_value: E12000007, label: geography} + - {column: D, row: 7569, expected_value: All persons, label: sex} + - {column: E, row: 7569, expected_value: Self-employed, label: employment type} + - {column: J, row: 7569, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7571 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7571, expected_value: E12000007, label: geography} + - {column: D, row: 7571, expected_value: All persons, label: sex} + - {column: E, row: 7571, expected_value: Self-employed, label: employment type} + - {column: J, row: 7571, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7573 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7573, expected_value: E12000007, label: geography} + - {column: D, row: 7573, expected_value: All persons, label: sex} + - {column: E, row: 7573, expected_value: Self-employed, label: employment type} + - {column: J, row: 7573, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7575 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7575, expected_value: E12000007, label: geography} + - {column: D, row: 7575, expected_value: All persons, label: sex} + - {column: E, row: 7575, expected_value: Self-employed, label: employment type} + - {column: J, row: 7575, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7577 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7577, expected_value: E12000007, label: geography} + - {column: D, row: 7577, expected_value: All persons, label: sex} + - {column: E, row: 7577, expected_value: Self-employed, label: employment type} + - {column: J, row: 7577, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7579 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7579, expected_value: E12000007, label: geography} + - {column: D, row: 7579, expected_value: All persons, label: sex} + - {column: E, row: 7579, expected_value: Self-employed, label: employment type} + - {column: J, row: 7579, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7581 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7581, expected_value: E12000007, label: geography} + - {column: D, row: 7581, expected_value: All persons, label: sex} + - {column: E, row: 7581, expected_value: Self-employed, label: employment type} + - {column: J, row: 7581, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7585 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7585, expected_value: E12000007, label: geography} + - {column: D, row: 7585, expected_value: All persons, label: sex} + - {column: E, row: 7585, expected_value: Self-employed, label: employment type} + - {column: J, row: 7585, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7589 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7589, expected_value: E12000007, label: geography} + - {column: D, row: 7589, expected_value: All persons, label: sex} + - {column: E, row: 7589, expected_value: Self-employed, label: employment type} + - {column: J, row: 7589, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7591 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7591, expected_value: E12000007, label: geography} + - {column: D, row: 7591, expected_value: All persons, label: sex} + - {column: E, row: 7591, expected_value: Self-employed, label: employment type} + - {column: J, row: 7591, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7593 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7593, expected_value: E12000007, label: geography} + - {column: D, row: 7593, expected_value: All persons, label: sex} + - {column: E, row: 7593, expected_value: Self-employed, label: employment type} + - {column: J, row: 7593, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7595 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7595, expected_value: E12000007, label: geography} + - {column: D, row: 7595, expected_value: All persons, label: sex} + - {column: E, row: 7595, expected_value: Self-employed, label: employment type} + - {column: J, row: 7595, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7599 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7599, expected_value: E12000007, label: geography} + - {column: D, row: 7599, expected_value: All persons, label: sex} + - {column: E, row: 7599, expected_value: Self-employed, label: employment type} + - {column: J, row: 7599, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7601 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7601, expected_value: E12000007, label: geography} + - {column: D, row: 7601, expected_value: All persons, label: sex} + - {column: E, row: 7601, expected_value: Self-employed, label: employment type} + - {column: J, row: 7601, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7603 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7603, expected_value: E12000007, label: geography} + - {column: D, row: 7603, expected_value: All persons, label: sex} + - {column: E, row: 7603, expected_value: Self-employed, label: employment type} + - {column: J, row: 7603, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7605 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7605, expected_value: E12000007, label: geography} + - {column: D, row: 7605, expected_value: All persons, label: sex} + - {column: E, row: 7605, expected_value: Self-employed, label: employment type} + - {column: J, row: 7605, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7607 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7607, expected_value: E12000007, label: geography} + - {column: D, row: 7607, expected_value: All persons, label: sex} + - {column: E, row: 7607, expected_value: Self-employed, label: employment type} + - {column: J, row: 7607, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7609 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7609, expected_value: E12000007, label: geography} + - {column: D, row: 7609, expected_value: All persons, label: sex} + - {column: E, row: 7609, expected_value: Self-employed, label: employment type} + - {column: J, row: 7609, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7611 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7611, expected_value: E12000007, label: geography} + - {column: D, row: 7611, expected_value: All persons, label: sex} + - {column: E, row: 7611, expected_value: Self-employed, label: employment type} + - {column: J, row: 7611, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7613 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7613, expected_value: E12000007, label: geography} + - {column: D, row: 7613, expected_value: All persons, label: sex} + - {column: E, row: 7613, expected_value: Self-employed, label: employment type} + - {column: J, row: 7613, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7617 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7617, expected_value: E12000007, label: geography} + - {column: D, row: 7617, expected_value: All persons, label: sex} + - {column: E, row: 7617, expected_value: Self-employed, label: employment type} + - {column: J, row: 7617, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7619 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7619, expected_value: E12000007, label: geography} + - {column: D, row: 7619, expected_value: All persons, label: sex} + - {column: E, row: 7619, expected_value: Self-employed, label: employment type} + - {column: J, row: 7619, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7623 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7623, expected_value: E12000007, label: geography} + - {column: D, row: 7623, expected_value: All persons, label: sex} + - {column: E, row: 7623, expected_value: Self-employed, label: employment type} + - {column: J, row: 7623, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7625 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7625, expected_value: E12000007, label: geography} + - {column: D, row: 7625, expected_value: All persons, label: sex} + - {column: E, row: 7625, expected_value: Self-employed, label: employment type} + - {column: J, row: 7625, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7627 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7627, expected_value: E12000007, label: geography} + - {column: D, row: 7627, expected_value: All persons, label: sex} + - {column: E, row: 7627, expected_value: Self-employed, label: employment type} + - {column: J, row: 7627, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7629 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7629, expected_value: E12000007, label: geography} + - {column: D, row: 7629, expected_value: All persons, label: sex} + - {column: E, row: 7629, expected_value: Self-employed, label: employment type} + - {column: J, row: 7629, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7633 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7633, expected_value: E12000007, label: geography} + - {column: D, row: 7633, expected_value: All persons, label: sex} + - {column: E, row: 7633, expected_value: Self-employed, label: employment type} + - {column: J, row: 7633, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7202 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7202, expected_value: E12000007, label: geography} + - {column: D, row: 7202, expected_value: Males, label: sex} + - {column: E, row: 7202, expected_value: Total, label: employment type} + - {column: J, row: 7202, expected_value: Value, label: measure} + - {column: L, row: 7203, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7204 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7204, expected_value: E12000007, label: geography} + - {column: D, row: 7204, expected_value: Males, label: sex} + - {column: E, row: 7204, expected_value: Total, label: employment type} + - {column: J, row: 7204, expected_value: Value, label: measure} + - {column: L, row: 7205, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7206 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7206, expected_value: E12000007, label: geography} + - {column: D, row: 7206, expected_value: Males, label: sex} + - {column: E, row: 7206, expected_value: Total, label: employment type} + - {column: J, row: 7206, expected_value: Value, label: measure} + - {column: L, row: 7207, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7208 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7208, expected_value: E12000007, label: geography} + - {column: D, row: 7208, expected_value: Males, label: sex} + - {column: E, row: 7208, expected_value: Total, label: employment type} + - {column: J, row: 7208, expected_value: Value, label: measure} + - {column: L, row: 7209, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7210 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7210, expected_value: E12000007, label: geography} + - {column: D, row: 7210, expected_value: Males, label: sex} + - {column: E, row: 7210, expected_value: Total, label: employment type} + - {column: J, row: 7210, expected_value: Value, label: measure} + - {column: L, row: 7211, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7212 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7212, expected_value: E12000007, label: geography} + - {column: D, row: 7212, expected_value: Males, label: sex} + - {column: E, row: 7212, expected_value: Total, label: employment type} + - {column: J, row: 7212, expected_value: Value, label: measure} + - {column: L, row: 7213, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7214 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7214, expected_value: E12000007, label: geography} + - {column: D, row: 7214, expected_value: Males, label: sex} + - {column: E, row: 7214, expected_value: Total, label: employment type} + - {column: J, row: 7214, expected_value: Value, label: measure} + - {column: L, row: 7215, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7216 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7216, expected_value: E12000007, label: geography} + - {column: D, row: 7216, expected_value: Males, label: sex} + - {column: E, row: 7216, expected_value: Total, label: employment type} + - {column: J, row: 7216, expected_value: Value, label: measure} + - {column: L, row: 7217, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7218 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7218, expected_value: E12000007, label: geography} + - {column: D, row: 7218, expected_value: Males, label: sex} + - {column: E, row: 7218, expected_value: Total, label: employment type} + - {column: J, row: 7218, expected_value: Value, label: measure} + - {column: L, row: 7219, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7220 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7220, expected_value: E12000007, label: geography} + - {column: D, row: 7220, expected_value: Males, label: sex} + - {column: E, row: 7220, expected_value: Total, label: employment type} + - {column: J, row: 7220, expected_value: Value, label: measure} + - {column: L, row: 7221, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7222 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7222, expected_value: E12000007, label: geography} + - {column: D, row: 7222, expected_value: Males, label: sex} + - {column: E, row: 7222, expected_value: Total, label: employment type} + - {column: J, row: 7222, expected_value: Value, label: measure} + - {column: L, row: 7223, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7224 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7224, expected_value: E12000007, label: geography} + - {column: D, row: 7224, expected_value: Males, label: sex} + - {column: E, row: 7224, expected_value: Total, label: employment type} + - {column: J, row: 7224, expected_value: Value, label: measure} + - {column: L, row: 7225, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7226 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7226, expected_value: E12000007, label: geography} + - {column: D, row: 7226, expected_value: Males, label: sex} + - {column: E, row: 7226, expected_value: Total, label: employment type} + - {column: J, row: 7226, expected_value: Value, label: measure} + - {column: L, row: 7227, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7228 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7228, expected_value: E12000007, label: geography} + - {column: D, row: 7228, expected_value: Males, label: sex} + - {column: E, row: 7228, expected_value: Total, label: employment type} + - {column: J, row: 7228, expected_value: Value, label: measure} + - {column: L, row: 7229, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7230 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7230, expected_value: E12000007, label: geography} + - {column: D, row: 7230, expected_value: Males, label: sex} + - {column: E, row: 7230, expected_value: Total, label: employment type} + - {column: J, row: 7230, expected_value: Value, label: measure} + - {column: L, row: 7231, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7232 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7232, expected_value: E12000007, label: geography} + - {column: D, row: 7232, expected_value: Males, label: sex} + - {column: E, row: 7232, expected_value: Total, label: employment type} + - {column: J, row: 7232, expected_value: Value, label: measure} + - {column: L, row: 7233, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7234 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7234, expected_value: E12000007, label: geography} + - {column: D, row: 7234, expected_value: Males, label: sex} + - {column: E, row: 7234, expected_value: Total, label: employment type} + - {column: J, row: 7234, expected_value: Value, label: measure} + - {column: L, row: 7235, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7236 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7236, expected_value: E12000007, label: geography} + - {column: D, row: 7236, expected_value: Males, label: sex} + - {column: E, row: 7236, expected_value: Total, label: employment type} + - {column: J, row: 7236, expected_value: Value, label: measure} + - {column: L, row: 7237, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7238 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7238, expected_value: E12000007, label: geography} + - {column: D, row: 7238, expected_value: Males, label: sex} + - {column: E, row: 7238, expected_value: Total, label: employment type} + - {column: J, row: 7238, expected_value: Value, label: measure} + - {column: L, row: 7239, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7240 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7240, expected_value: E12000007, label: geography} + - {column: D, row: 7240, expected_value: Males, label: sex} + - {column: E, row: 7240, expected_value: Total, label: employment type} + - {column: J, row: 7240, expected_value: Value, label: measure} + - {column: L, row: 7241, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7242 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7242, expected_value: E12000007, label: geography} + - {column: D, row: 7242, expected_value: Males, label: sex} + - {column: E, row: 7242, expected_value: Total, label: employment type} + - {column: J, row: 7242, expected_value: Value, label: measure} + - {column: L, row: 7243, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7244 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7244, expected_value: E12000007, label: geography} + - {column: D, row: 7244, expected_value: Males, label: sex} + - {column: E, row: 7244, expected_value: Total, label: employment type} + - {column: J, row: 7244, expected_value: Value, label: measure} + - {column: L, row: 7245, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7246 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7246, expected_value: E12000007, label: geography} + - {column: D, row: 7246, expected_value: Males, label: sex} + - {column: E, row: 7246, expected_value: Total, label: employment type} + - {column: J, row: 7246, expected_value: Value, label: measure} + - {column: L, row: 7247, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7248 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7248, expected_value: E12000007, label: geography} + - {column: D, row: 7248, expected_value: Males, label: sex} + - {column: E, row: 7248, expected_value: Total, label: employment type} + - {column: J, row: 7248, expected_value: Value, label: measure} + - {column: L, row: 7249, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7250 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7250, expected_value: E12000007, label: geography} + - {column: D, row: 7250, expected_value: Males, label: sex} + - {column: E, row: 7250, expected_value: Total, label: employment type} + - {column: J, row: 7250, expected_value: Value, label: measure} + - {column: L, row: 7251, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7252 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7252, expected_value: E12000007, label: geography} + - {column: D, row: 7252, expected_value: Males, label: sex} + - {column: E, row: 7252, expected_value: Total, label: employment type} + - {column: J, row: 7252, expected_value: Value, label: measure} + - {column: L, row: 7253, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7254 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7254, expected_value: E12000007, label: geography} + - {column: D, row: 7254, expected_value: Males, label: sex} + - {column: E, row: 7254, expected_value: Total, label: employment type} + - {column: J, row: 7254, expected_value: Value, label: measure} + - {column: L, row: 7255, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7256 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7256, expected_value: E12000007, label: geography} + - {column: D, row: 7256, expected_value: Males, label: sex} + - {column: E, row: 7256, expected_value: Total, label: employment type} + - {column: J, row: 7256, expected_value: Value, label: measure} + - {column: L, row: 7257, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7258 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7258, expected_value: E12000007, label: geography} + - {column: D, row: 7258, expected_value: Males, label: sex} + - {column: E, row: 7258, expected_value: Total, label: employment type} + - {column: J, row: 7258, expected_value: Value, label: measure} + - {column: L, row: 7259, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7260 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7260, expected_value: E12000007, label: geography} + - {column: D, row: 7260, expected_value: Males, label: sex} + - {column: E, row: 7260, expected_value: Total, label: employment type} + - {column: J, row: 7260, expected_value: Value, label: measure} + - {column: L, row: 7261, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7262 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7262, expected_value: E12000007, label: geography} + - {column: D, row: 7262, expected_value: Males, label: sex} + - {column: E, row: 7262, expected_value: Total, label: employment type} + - {column: J, row: 7262, expected_value: Value, label: measure} + - {column: L, row: 7263, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7264 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7264, expected_value: E12000007, label: geography} + - {column: D, row: 7264, expected_value: Males, label: sex} + - {column: E, row: 7264, expected_value: Total, label: employment type} + - {column: J, row: 7264, expected_value: Value, label: measure} + - {column: L, row: 7265, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7266 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7266, expected_value: E12000007, label: geography} + - {column: D, row: 7266, expected_value: Males, label: sex} + - {column: E, row: 7266, expected_value: Total, label: employment type} + - {column: J, row: 7266, expected_value: Value, label: measure} + - {column: L, row: 7267, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7268 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7268, expected_value: E12000007, label: geography} + - {column: D, row: 7268, expected_value: Males, label: sex} + - {column: E, row: 7268, expected_value: Total, label: employment type} + - {column: J, row: 7268, expected_value: Value, label: measure} + - {column: L, row: 7269, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7270 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7270, expected_value: E12000007, label: geography} + - {column: D, row: 7270, expected_value: Males, label: sex} + - {column: E, row: 7270, expected_value: Total, label: employment type} + - {column: J, row: 7270, expected_value: Value, label: measure} + - {column: L, row: 7271, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7272 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7272, expected_value: E12000007, label: geography} + - {column: D, row: 7272, expected_value: Males, label: sex} + - {column: E, row: 7272, expected_value: Total, label: employment type} + - {column: J, row: 7272, expected_value: Value, label: measure} + - {column: L, row: 7273, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7203 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7203, expected_value: E12000007, label: geography} + - {column: D, row: 7203, expected_value: Males, label: sex} + - {column: E, row: 7203, expected_value: Total, label: employment type} + - {column: J, row: 7203, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7205 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7205, expected_value: E12000007, label: geography} + - {column: D, row: 7205, expected_value: Males, label: sex} + - {column: E, row: 7205, expected_value: Total, label: employment type} + - {column: J, row: 7205, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7207 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7207, expected_value: E12000007, label: geography} + - {column: D, row: 7207, expected_value: Males, label: sex} + - {column: E, row: 7207, expected_value: Total, label: employment type} + - {column: J, row: 7207, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7209 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7209, expected_value: E12000007, label: geography} + - {column: D, row: 7209, expected_value: Males, label: sex} + - {column: E, row: 7209, expected_value: Total, label: employment type} + - {column: J, row: 7209, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7211 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7211, expected_value: E12000007, label: geography} + - {column: D, row: 7211, expected_value: Males, label: sex} + - {column: E, row: 7211, expected_value: Total, label: employment type} + - {column: J, row: 7211, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7213 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7213, expected_value: E12000007, label: geography} + - {column: D, row: 7213, expected_value: Males, label: sex} + - {column: E, row: 7213, expected_value: Total, label: employment type} + - {column: J, row: 7213, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7215 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7215, expected_value: E12000007, label: geography} + - {column: D, row: 7215, expected_value: Males, label: sex} + - {column: E, row: 7215, expected_value: Total, label: employment type} + - {column: J, row: 7215, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7217 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7217, expected_value: E12000007, label: geography} + - {column: D, row: 7217, expected_value: Males, label: sex} + - {column: E, row: 7217, expected_value: Total, label: employment type} + - {column: J, row: 7217, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7219 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7219, expected_value: E12000007, label: geography} + - {column: D, row: 7219, expected_value: Males, label: sex} + - {column: E, row: 7219, expected_value: Total, label: employment type} + - {column: J, row: 7219, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7221 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7221, expected_value: E12000007, label: geography} + - {column: D, row: 7221, expected_value: Males, label: sex} + - {column: E, row: 7221, expected_value: Total, label: employment type} + - {column: J, row: 7221, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7223 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7223, expected_value: E12000007, label: geography} + - {column: D, row: 7223, expected_value: Males, label: sex} + - {column: E, row: 7223, expected_value: Total, label: employment type} + - {column: J, row: 7223, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7225 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7225, expected_value: E12000007, label: geography} + - {column: D, row: 7225, expected_value: Males, label: sex} + - {column: E, row: 7225, expected_value: Total, label: employment type} + - {column: J, row: 7225, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7227 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7227, expected_value: E12000007, label: geography} + - {column: D, row: 7227, expected_value: Males, label: sex} + - {column: E, row: 7227, expected_value: Total, label: employment type} + - {column: J, row: 7227, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7229 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7229, expected_value: E12000007, label: geography} + - {column: D, row: 7229, expected_value: Males, label: sex} + - {column: E, row: 7229, expected_value: Total, label: employment type} + - {column: J, row: 7229, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7231 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7231, expected_value: E12000007, label: geography} + - {column: D, row: 7231, expected_value: Males, label: sex} + - {column: E, row: 7231, expected_value: Total, label: employment type} + - {column: J, row: 7231, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7233 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7233, expected_value: E12000007, label: geography} + - {column: D, row: 7233, expected_value: Males, label: sex} + - {column: E, row: 7233, expected_value: Total, label: employment type} + - {column: J, row: 7233, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7235 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7235, expected_value: E12000007, label: geography} + - {column: D, row: 7235, expected_value: Males, label: sex} + - {column: E, row: 7235, expected_value: Total, label: employment type} + - {column: J, row: 7235, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7239 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7239, expected_value: E12000007, label: geography} + - {column: D, row: 7239, expected_value: Males, label: sex} + - {column: E, row: 7239, expected_value: Total, label: employment type} + - {column: J, row: 7239, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7241 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7241, expected_value: E12000007, label: geography} + - {column: D, row: 7241, expected_value: Males, label: sex} + - {column: E, row: 7241, expected_value: Total, label: employment type} + - {column: J, row: 7241, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7243 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7243, expected_value: E12000007, label: geography} + - {column: D, row: 7243, expected_value: Males, label: sex} + - {column: E, row: 7243, expected_value: Total, label: employment type} + - {column: J, row: 7243, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7245 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7245, expected_value: E12000007, label: geography} + - {column: D, row: 7245, expected_value: Males, label: sex} + - {column: E, row: 7245, expected_value: Total, label: employment type} + - {column: J, row: 7245, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7247 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7247, expected_value: E12000007, label: geography} + - {column: D, row: 7247, expected_value: Males, label: sex} + - {column: E, row: 7247, expected_value: Total, label: employment type} + - {column: J, row: 7247, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7249 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7249, expected_value: E12000007, label: geography} + - {column: D, row: 7249, expected_value: Males, label: sex} + - {column: E, row: 7249, expected_value: Total, label: employment type} + - {column: J, row: 7249, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7251 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7251, expected_value: E12000007, label: geography} + - {column: D, row: 7251, expected_value: Males, label: sex} + - {column: E, row: 7251, expected_value: Total, label: employment type} + - {column: J, row: 7251, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7253 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7253, expected_value: E12000007, label: geography} + - {column: D, row: 7253, expected_value: Males, label: sex} + - {column: E, row: 7253, expected_value: Total, label: employment type} + - {column: J, row: 7253, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7257 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7257, expected_value: E12000007, label: geography} + - {column: D, row: 7257, expected_value: Males, label: sex} + - {column: E, row: 7257, expected_value: Total, label: employment type} + - {column: J, row: 7257, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7259 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7259, expected_value: E12000007, label: geography} + - {column: D, row: 7259, expected_value: Males, label: sex} + - {column: E, row: 7259, expected_value: Total, label: employment type} + - {column: J, row: 7259, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7261 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7261, expected_value: E12000007, label: geography} + - {column: D, row: 7261, expected_value: Males, label: sex} + - {column: E, row: 7261, expected_value: Total, label: employment type} + - {column: J, row: 7261, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7263 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7263, expected_value: E12000007, label: geography} + - {column: D, row: 7263, expected_value: Males, label: sex} + - {column: E, row: 7263, expected_value: Total, label: employment type} + - {column: J, row: 7263, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7265 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7265, expected_value: E12000007, label: geography} + - {column: D, row: 7265, expected_value: Males, label: sex} + - {column: E, row: 7265, expected_value: Total, label: employment type} + - {column: J, row: 7265, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7267 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7267, expected_value: E12000007, label: geography} + - {column: D, row: 7267, expected_value: Males, label: sex} + - {column: E, row: 7267, expected_value: Total, label: employment type} + - {column: J, row: 7267, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7269 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7269, expected_value: E12000007, label: geography} + - {column: D, row: 7269, expected_value: Males, label: sex} + - {column: E, row: 7269, expected_value: Total, label: employment type} + - {column: J, row: 7269, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7271 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7271, expected_value: E12000007, label: geography} + - {column: D, row: 7271, expected_value: Males, label: sex} + - {column: E, row: 7271, expected_value: Total, label: employment type} + - {column: J, row: 7271, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7273 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7273, expected_value: E12000007, label: geography} + - {column: D, row: 7273, expected_value: Males, label: sex} + - {column: E, row: 7273, expected_value: Total, label: employment type} + - {column: J, row: 7273, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7418 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7418, expected_value: E12000007, label: geography} + - {column: D, row: 7418, expected_value: Males, label: sex} + - {column: E, row: 7418, expected_value: Employee, label: employment type} + - {column: J, row: 7418, expected_value: Value, label: measure} + - {column: L, row: 7419, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7420 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7420, expected_value: E12000007, label: geography} + - {column: D, row: 7420, expected_value: Males, label: sex} + - {column: E, row: 7420, expected_value: Employee, label: employment type} + - {column: J, row: 7420, expected_value: Value, label: measure} + - {column: L, row: 7421, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7422 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7422, expected_value: E12000007, label: geography} + - {column: D, row: 7422, expected_value: Males, label: sex} + - {column: E, row: 7422, expected_value: Employee, label: employment type} + - {column: J, row: 7422, expected_value: Value, label: measure} + - {column: L, row: 7423, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7424 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7424, expected_value: E12000007, label: geography} + - {column: D, row: 7424, expected_value: Males, label: sex} + - {column: E, row: 7424, expected_value: Employee, label: employment type} + - {column: J, row: 7424, expected_value: Value, label: measure} + - {column: L, row: 7425, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7426 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7426, expected_value: E12000007, label: geography} + - {column: D, row: 7426, expected_value: Males, label: sex} + - {column: E, row: 7426, expected_value: Employee, label: employment type} + - {column: J, row: 7426, expected_value: Value, label: measure} + - {column: L, row: 7427, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7428 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7428, expected_value: E12000007, label: geography} + - {column: D, row: 7428, expected_value: Males, label: sex} + - {column: E, row: 7428, expected_value: Employee, label: employment type} + - {column: J, row: 7428, expected_value: Value, label: measure} + - {column: L, row: 7429, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7430 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7430, expected_value: E12000007, label: geography} + - {column: D, row: 7430, expected_value: Males, label: sex} + - {column: E, row: 7430, expected_value: Employee, label: employment type} + - {column: J, row: 7430, expected_value: Value, label: measure} + - {column: L, row: 7431, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7432 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7432, expected_value: E12000007, label: geography} + - {column: D, row: 7432, expected_value: Males, label: sex} + - {column: E, row: 7432, expected_value: Employee, label: employment type} + - {column: J, row: 7432, expected_value: Value, label: measure} + - {column: L, row: 7433, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7434 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7434, expected_value: E12000007, label: geography} + - {column: D, row: 7434, expected_value: Males, label: sex} + - {column: E, row: 7434, expected_value: Employee, label: employment type} + - {column: J, row: 7434, expected_value: Value, label: measure} + - {column: L, row: 7435, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7436 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7436, expected_value: E12000007, label: geography} + - {column: D, row: 7436, expected_value: Males, label: sex} + - {column: E, row: 7436, expected_value: Employee, label: employment type} + - {column: J, row: 7436, expected_value: Value, label: measure} + - {column: L, row: 7437, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7438 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7438, expected_value: E12000007, label: geography} + - {column: D, row: 7438, expected_value: Males, label: sex} + - {column: E, row: 7438, expected_value: Employee, label: employment type} + - {column: J, row: 7438, expected_value: Value, label: measure} + - {column: L, row: 7439, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7440 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7440, expected_value: E12000007, label: geography} + - {column: D, row: 7440, expected_value: Males, label: sex} + - {column: E, row: 7440, expected_value: Employee, label: employment type} + - {column: J, row: 7440, expected_value: Value, label: measure} + - {column: L, row: 7441, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7442 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7442, expected_value: E12000007, label: geography} + - {column: D, row: 7442, expected_value: Males, label: sex} + - {column: E, row: 7442, expected_value: Employee, label: employment type} + - {column: J, row: 7442, expected_value: Value, label: measure} + - {column: L, row: 7443, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7444 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7444, expected_value: E12000007, label: geography} + - {column: D, row: 7444, expected_value: Males, label: sex} + - {column: E, row: 7444, expected_value: Employee, label: employment type} + - {column: J, row: 7444, expected_value: Value, label: measure} + - {column: L, row: 7445, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7446 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7446, expected_value: E12000007, label: geography} + - {column: D, row: 7446, expected_value: Males, label: sex} + - {column: E, row: 7446, expected_value: Employee, label: employment type} + - {column: J, row: 7446, expected_value: Value, label: measure} + - {column: L, row: 7447, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7448 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7448, expected_value: E12000007, label: geography} + - {column: D, row: 7448, expected_value: Males, label: sex} + - {column: E, row: 7448, expected_value: Employee, label: employment type} + - {column: J, row: 7448, expected_value: Value, label: measure} + - {column: L, row: 7449, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7450 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7450, expected_value: E12000007, label: geography} + - {column: D, row: 7450, expected_value: Males, label: sex} + - {column: E, row: 7450, expected_value: Employee, label: employment type} + - {column: J, row: 7450, expected_value: Value, label: measure} + - {column: L, row: 7451, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7452 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7452, expected_value: E12000007, label: geography} + - {column: D, row: 7452, expected_value: Males, label: sex} + - {column: E, row: 7452, expected_value: Employee, label: employment type} + - {column: J, row: 7452, expected_value: Value, label: measure} + - {column: L, row: 7453, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7454 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7454, expected_value: E12000007, label: geography} + - {column: D, row: 7454, expected_value: Males, label: sex} + - {column: E, row: 7454, expected_value: Employee, label: employment type} + - {column: J, row: 7454, expected_value: Value, label: measure} + - {column: L, row: 7455, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7456 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7456, expected_value: E12000007, label: geography} + - {column: D, row: 7456, expected_value: Males, label: sex} + - {column: E, row: 7456, expected_value: Employee, label: employment type} + - {column: J, row: 7456, expected_value: Value, label: measure} + - {column: L, row: 7457, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7458 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7458, expected_value: E12000007, label: geography} + - {column: D, row: 7458, expected_value: Males, label: sex} + - {column: E, row: 7458, expected_value: Employee, label: employment type} + - {column: J, row: 7458, expected_value: Value, label: measure} + - {column: L, row: 7459, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7460 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7460, expected_value: E12000007, label: geography} + - {column: D, row: 7460, expected_value: Males, label: sex} + - {column: E, row: 7460, expected_value: Employee, label: employment type} + - {column: J, row: 7460, expected_value: Value, label: measure} + - {column: L, row: 7461, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7462 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7462, expected_value: E12000007, label: geography} + - {column: D, row: 7462, expected_value: Males, label: sex} + - {column: E, row: 7462, expected_value: Employee, label: employment type} + - {column: J, row: 7462, expected_value: Value, label: measure} + - {column: L, row: 7463, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7464 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7464, expected_value: E12000007, label: geography} + - {column: D, row: 7464, expected_value: Males, label: sex} + - {column: E, row: 7464, expected_value: Employee, label: employment type} + - {column: J, row: 7464, expected_value: Value, label: measure} + - {column: L, row: 7465, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7466 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7466, expected_value: E12000007, label: geography} + - {column: D, row: 7466, expected_value: Males, label: sex} + - {column: E, row: 7466, expected_value: Employee, label: employment type} + - {column: J, row: 7466, expected_value: Value, label: measure} + - {column: L, row: 7467, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7468 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7468, expected_value: E12000007, label: geography} + - {column: D, row: 7468, expected_value: Males, label: sex} + - {column: E, row: 7468, expected_value: Employee, label: employment type} + - {column: J, row: 7468, expected_value: Value, label: measure} + - {column: L, row: 7469, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7470 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7470, expected_value: E12000007, label: geography} + - {column: D, row: 7470, expected_value: Males, label: sex} + - {column: E, row: 7470, expected_value: Employee, label: employment type} + - {column: J, row: 7470, expected_value: Value, label: measure} + - {column: L, row: 7471, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7472 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7472, expected_value: E12000007, label: geography} + - {column: D, row: 7472, expected_value: Males, label: sex} + - {column: E, row: 7472, expected_value: Employee, label: employment type} + - {column: J, row: 7472, expected_value: Value, label: measure} + - {column: L, row: 7473, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7474 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7474, expected_value: E12000007, label: geography} + - {column: D, row: 7474, expected_value: Males, label: sex} + - {column: E, row: 7474, expected_value: Employee, label: employment type} + - {column: J, row: 7474, expected_value: Value, label: measure} + - {column: L, row: 7475, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7476 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7476, expected_value: E12000007, label: geography} + - {column: D, row: 7476, expected_value: Males, label: sex} + - {column: E, row: 7476, expected_value: Employee, label: employment type} + - {column: J, row: 7476, expected_value: Value, label: measure} + - {column: L, row: 7477, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7478 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7478, expected_value: E12000007, label: geography} + - {column: D, row: 7478, expected_value: Males, label: sex} + - {column: E, row: 7478, expected_value: Employee, label: employment type} + - {column: J, row: 7478, expected_value: Value, label: measure} + - {column: L, row: 7479, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7480 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7480, expected_value: E12000007, label: geography} + - {column: D, row: 7480, expected_value: Males, label: sex} + - {column: E, row: 7480, expected_value: Employee, label: employment type} + - {column: J, row: 7480, expected_value: Value, label: measure} + - {column: L, row: 7481, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7482 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7482, expected_value: E12000007, label: geography} + - {column: D, row: 7482, expected_value: Males, label: sex} + - {column: E, row: 7482, expected_value: Employee, label: employment type} + - {column: J, row: 7482, expected_value: Value, label: measure} + - {column: L, row: 7483, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7484 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7484, expected_value: E12000007, label: geography} + - {column: D, row: 7484, expected_value: Males, label: sex} + - {column: E, row: 7484, expected_value: Employee, label: employment type} + - {column: J, row: 7484, expected_value: Value, label: measure} + - {column: L, row: 7485, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7486 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7486, expected_value: E12000007, label: geography} + - {column: D, row: 7486, expected_value: Males, label: sex} + - {column: E, row: 7486, expected_value: Employee, label: employment type} + - {column: J, row: 7486, expected_value: Value, label: measure} + - {column: L, row: 7487, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7488 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7488, expected_value: E12000007, label: geography} + - {column: D, row: 7488, expected_value: Males, label: sex} + - {column: E, row: 7488, expected_value: Employee, label: employment type} + - {column: J, row: 7488, expected_value: Value, label: measure} + - {column: L, row: 7489, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7419 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7419, expected_value: E12000007, label: geography} + - {column: D, row: 7419, expected_value: Males, label: sex} + - {column: E, row: 7419, expected_value: Employee, label: employment type} + - {column: J, row: 7419, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7421 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7421, expected_value: E12000007, label: geography} + - {column: D, row: 7421, expected_value: Males, label: sex} + - {column: E, row: 7421, expected_value: Employee, label: employment type} + - {column: J, row: 7421, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7423 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7423, expected_value: E12000007, label: geography} + - {column: D, row: 7423, expected_value: Males, label: sex} + - {column: E, row: 7423, expected_value: Employee, label: employment type} + - {column: J, row: 7423, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7425 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7425, expected_value: E12000007, label: geography} + - {column: D, row: 7425, expected_value: Males, label: sex} + - {column: E, row: 7425, expected_value: Employee, label: employment type} + - {column: J, row: 7425, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7427 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7427, expected_value: E12000007, label: geography} + - {column: D, row: 7427, expected_value: Males, label: sex} + - {column: E, row: 7427, expected_value: Employee, label: employment type} + - {column: J, row: 7427, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7429 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7429, expected_value: E12000007, label: geography} + - {column: D, row: 7429, expected_value: Males, label: sex} + - {column: E, row: 7429, expected_value: Employee, label: employment type} + - {column: J, row: 7429, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7431 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7431, expected_value: E12000007, label: geography} + - {column: D, row: 7431, expected_value: Males, label: sex} + - {column: E, row: 7431, expected_value: Employee, label: employment type} + - {column: J, row: 7431, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7433 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7433, expected_value: E12000007, label: geography} + - {column: D, row: 7433, expected_value: Males, label: sex} + - {column: E, row: 7433, expected_value: Employee, label: employment type} + - {column: J, row: 7433, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7435 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7435, expected_value: E12000007, label: geography} + - {column: D, row: 7435, expected_value: Males, label: sex} + - {column: E, row: 7435, expected_value: Employee, label: employment type} + - {column: J, row: 7435, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7437 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7437, expected_value: E12000007, label: geography} + - {column: D, row: 7437, expected_value: Males, label: sex} + - {column: E, row: 7437, expected_value: Employee, label: employment type} + - {column: J, row: 7437, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7439 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7439, expected_value: E12000007, label: geography} + - {column: D, row: 7439, expected_value: Males, label: sex} + - {column: E, row: 7439, expected_value: Employee, label: employment type} + - {column: J, row: 7439, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7441 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7441, expected_value: E12000007, label: geography} + - {column: D, row: 7441, expected_value: Males, label: sex} + - {column: E, row: 7441, expected_value: Employee, label: employment type} + - {column: J, row: 7441, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7443 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7443, expected_value: E12000007, label: geography} + - {column: D, row: 7443, expected_value: Males, label: sex} + - {column: E, row: 7443, expected_value: Employee, label: employment type} + - {column: J, row: 7443, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7445 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7445, expected_value: E12000007, label: geography} + - {column: D, row: 7445, expected_value: Males, label: sex} + - {column: E, row: 7445, expected_value: Employee, label: employment type} + - {column: J, row: 7445, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7447 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7447, expected_value: E12000007, label: geography} + - {column: D, row: 7447, expected_value: Males, label: sex} + - {column: E, row: 7447, expected_value: Employee, label: employment type} + - {column: J, row: 7447, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7449 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7449, expected_value: E12000007, label: geography} + - {column: D, row: 7449, expected_value: Males, label: sex} + - {column: E, row: 7449, expected_value: Employee, label: employment type} + - {column: J, row: 7449, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7451 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7451, expected_value: E12000007, label: geography} + - {column: D, row: 7451, expected_value: Males, label: sex} + - {column: E, row: 7451, expected_value: Employee, label: employment type} + - {column: J, row: 7451, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7455 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7455, expected_value: E12000007, label: geography} + - {column: D, row: 7455, expected_value: Males, label: sex} + - {column: E, row: 7455, expected_value: Employee, label: employment type} + - {column: J, row: 7455, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7459 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7459, expected_value: E12000007, label: geography} + - {column: D, row: 7459, expected_value: Males, label: sex} + - {column: E, row: 7459, expected_value: Employee, label: employment type} + - {column: J, row: 7459, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7461 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7461, expected_value: E12000007, label: geography} + - {column: D, row: 7461, expected_value: Males, label: sex} + - {column: E, row: 7461, expected_value: Employee, label: employment type} + - {column: J, row: 7461, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7463 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7463, expected_value: E12000007, label: geography} + - {column: D, row: 7463, expected_value: Males, label: sex} + - {column: E, row: 7463, expected_value: Employee, label: employment type} + - {column: J, row: 7463, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7465 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7465, expected_value: E12000007, label: geography} + - {column: D, row: 7465, expected_value: Males, label: sex} + - {column: E, row: 7465, expected_value: Employee, label: employment type} + - {column: J, row: 7465, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7467 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7467, expected_value: E12000007, label: geography} + - {column: D, row: 7467, expected_value: Males, label: sex} + - {column: E, row: 7467, expected_value: Employee, label: employment type} + - {column: J, row: 7467, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7469 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7469, expected_value: E12000007, label: geography} + - {column: D, row: 7469, expected_value: Males, label: sex} + - {column: E, row: 7469, expected_value: Employee, label: employment type} + - {column: J, row: 7469, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7473 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7473, expected_value: E12000007, label: geography} + - {column: D, row: 7473, expected_value: Males, label: sex} + - {column: E, row: 7473, expected_value: Employee, label: employment type} + - {column: J, row: 7473, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7475 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7475, expected_value: E12000007, label: geography} + - {column: D, row: 7475, expected_value: Males, label: sex} + - {column: E, row: 7475, expected_value: Employee, label: employment type} + - {column: J, row: 7475, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7477 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7477, expected_value: E12000007, label: geography} + - {column: D, row: 7477, expected_value: Males, label: sex} + - {column: E, row: 7477, expected_value: Employee, label: employment type} + - {column: J, row: 7477, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7479 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7479, expected_value: E12000007, label: geography} + - {column: D, row: 7479, expected_value: Males, label: sex} + - {column: E, row: 7479, expected_value: Employee, label: employment type} + - {column: J, row: 7479, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7481 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7481, expected_value: E12000007, label: geography} + - {column: D, row: 7481, expected_value: Males, label: sex} + - {column: E, row: 7481, expected_value: Employee, label: employment type} + - {column: J, row: 7481, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7483 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7483, expected_value: E12000007, label: geography} + - {column: D, row: 7483, expected_value: Males, label: sex} + - {column: E, row: 7483, expected_value: Employee, label: employment type} + - {column: J, row: 7483, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7485 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7485, expected_value: E12000007, label: geography} + - {column: D, row: 7485, expected_value: Males, label: sex} + - {column: E, row: 7485, expected_value: Employee, label: employment type} + - {column: J, row: 7485, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7489 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7489, expected_value: E12000007, label: geography} + - {column: D, row: 7489, expected_value: Males, label: sex} + - {column: E, row: 7489, expected_value: Employee, label: employment type} + - {column: J, row: 7489, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7634 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7634, expected_value: E12000007, label: geography} + - {column: D, row: 7634, expected_value: Males, label: sex} + - {column: E, row: 7634, expected_value: Self-employed, label: employment type} + - {column: J, row: 7634, expected_value: Value, label: measure} + - {column: L, row: 7635, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7636 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7636, expected_value: E12000007, label: geography} + - {column: D, row: 7636, expected_value: Males, label: sex} + - {column: E, row: 7636, expected_value: Self-employed, label: employment type} + - {column: J, row: 7636, expected_value: Value, label: measure} + - {column: L, row: 7637, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7638 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7638, expected_value: E12000007, label: geography} + - {column: D, row: 7638, expected_value: Males, label: sex} + - {column: E, row: 7638, expected_value: Self-employed, label: employment type} + - {column: J, row: 7638, expected_value: Value, label: measure} + - {column: L, row: 7639, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7640 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7640, expected_value: E12000007, label: geography} + - {column: D, row: 7640, expected_value: Males, label: sex} + - {column: E, row: 7640, expected_value: Self-employed, label: employment type} + - {column: J, row: 7640, expected_value: Value, label: measure} + - {column: L, row: 7641, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7642 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7642, expected_value: E12000007, label: geography} + - {column: D, row: 7642, expected_value: Males, label: sex} + - {column: E, row: 7642, expected_value: Self-employed, label: employment type} + - {column: J, row: 7642, expected_value: Value, label: measure} + - {column: L, row: 7643, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7644 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7644, expected_value: E12000007, label: geography} + - {column: D, row: 7644, expected_value: Males, label: sex} + - {column: E, row: 7644, expected_value: Self-employed, label: employment type} + - {column: J, row: 7644, expected_value: Value, label: measure} + - {column: L, row: 7645, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7646 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7646, expected_value: E12000007, label: geography} + - {column: D, row: 7646, expected_value: Males, label: sex} + - {column: E, row: 7646, expected_value: Self-employed, label: employment type} + - {column: J, row: 7646, expected_value: Value, label: measure} + - {column: L, row: 7647, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7648 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7648, expected_value: E12000007, label: geography} + - {column: D, row: 7648, expected_value: Males, label: sex} + - {column: E, row: 7648, expected_value: Self-employed, label: employment type} + - {column: J, row: 7648, expected_value: Value, label: measure} + - {column: L, row: 7649, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7650 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7650, expected_value: E12000007, label: geography} + - {column: D, row: 7650, expected_value: Males, label: sex} + - {column: E, row: 7650, expected_value: Self-employed, label: employment type} + - {column: J, row: 7650, expected_value: Value, label: measure} + - {column: L, row: 7651, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7652 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7652, expected_value: E12000007, label: geography} + - {column: D, row: 7652, expected_value: Males, label: sex} + - {column: E, row: 7652, expected_value: Self-employed, label: employment type} + - {column: J, row: 7652, expected_value: Value, label: measure} + - {column: L, row: 7653, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7654 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7654, expected_value: E12000007, label: geography} + - {column: D, row: 7654, expected_value: Males, label: sex} + - {column: E, row: 7654, expected_value: Self-employed, label: employment type} + - {column: J, row: 7654, expected_value: Value, label: measure} + - {column: L, row: 7655, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7656 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7656, expected_value: E12000007, label: geography} + - {column: D, row: 7656, expected_value: Males, label: sex} + - {column: E, row: 7656, expected_value: Self-employed, label: employment type} + - {column: J, row: 7656, expected_value: Value, label: measure} + - {column: L, row: 7657, expected_value: F, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7658 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7658, expected_value: E12000007, label: geography} + - {column: D, row: 7658, expected_value: Males, label: sex} + - {column: E, row: 7658, expected_value: Self-employed, label: employment type} + - {column: J, row: 7658, expected_value: Value, label: measure} + - {column: L, row: 7659, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7660 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7660, expected_value: E12000007, label: geography} + - {column: D, row: 7660, expected_value: Males, label: sex} + - {column: E, row: 7660, expected_value: Self-employed, label: employment type} + - {column: J, row: 7660, expected_value: Value, label: measure} + - {column: L, row: 7661, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7662 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7662, expected_value: E12000007, label: geography} + - {column: D, row: 7662, expected_value: Males, label: sex} + - {column: E, row: 7662, expected_value: Self-employed, label: employment type} + - {column: J, row: 7662, expected_value: Value, label: measure} + - {column: L, row: 7663, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7664 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7664, expected_value: E12000007, label: geography} + - {column: D, row: 7664, expected_value: Males, label: sex} + - {column: E, row: 7664, expected_value: Self-employed, label: employment type} + - {column: J, row: 7664, expected_value: Value, label: measure} + - {column: L, row: 7665, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7666 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7666, expected_value: E12000007, label: geography} + - {column: D, row: 7666, expected_value: Males, label: sex} + - {column: E, row: 7666, expected_value: Self-employed, label: employment type} + - {column: J, row: 7666, expected_value: Value, label: measure} + - {column: L, row: 7667, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7670 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7670, expected_value: E12000007, label: geography} + - {column: D, row: 7670, expected_value: Males, label: sex} + - {column: E, row: 7670, expected_value: Self-employed, label: employment type} + - {column: J, row: 7670, expected_value: Value, label: measure} + - {column: L, row: 7671, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7672 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7672, expected_value: E12000007, label: geography} + - {column: D, row: 7672, expected_value: Males, label: sex} + - {column: E, row: 7672, expected_value: Self-employed, label: employment type} + - {column: J, row: 7672, expected_value: Value, label: measure} + - {column: L, row: 7673, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7674 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7674, expected_value: E12000007, label: geography} + - {column: D, row: 7674, expected_value: Males, label: sex} + - {column: E, row: 7674, expected_value: Self-employed, label: employment type} + - {column: J, row: 7674, expected_value: Value, label: measure} + - {column: L, row: 7675, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7676 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7676, expected_value: E12000007, label: geography} + - {column: D, row: 7676, expected_value: Males, label: sex} + - {column: E, row: 7676, expected_value: Self-employed, label: employment type} + - {column: J, row: 7676, expected_value: Value, label: measure} + - {column: L, row: 7677, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7678 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7678, expected_value: E12000007, label: geography} + - {column: D, row: 7678, expected_value: Males, label: sex} + - {column: E, row: 7678, expected_value: Self-employed, label: employment type} + - {column: J, row: 7678, expected_value: Value, label: measure} + - {column: L, row: 7679, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7680 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7680, expected_value: E12000007, label: geography} + - {column: D, row: 7680, expected_value: Males, label: sex} + - {column: E, row: 7680, expected_value: Self-employed, label: employment type} + - {column: J, row: 7680, expected_value: Value, label: measure} + - {column: L, row: 7681, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7682 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7682, expected_value: E12000007, label: geography} + - {column: D, row: 7682, expected_value: Males, label: sex} + - {column: E, row: 7682, expected_value: Self-employed, label: employment type} + - {column: J, row: 7682, expected_value: Value, label: measure} + - {column: L, row: 7683, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7684 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7684, expected_value: E12000007, label: geography} + - {column: D, row: 7684, expected_value: Males, label: sex} + - {column: E, row: 7684, expected_value: Self-employed, label: employment type} + - {column: J, row: 7684, expected_value: Value, label: measure} + - {column: L, row: 7685, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7688 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7688, expected_value: E12000007, label: geography} + - {column: D, row: 7688, expected_value: Males, label: sex} + - {column: E, row: 7688, expected_value: Self-employed, label: employment type} + - {column: J, row: 7688, expected_value: Value, label: measure} + - {column: L, row: 7689, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7690 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7690, expected_value: E12000007, label: geography} + - {column: D, row: 7690, expected_value: Males, label: sex} + - {column: E, row: 7690, expected_value: Self-employed, label: employment type} + - {column: J, row: 7690, expected_value: Value, label: measure} + - {column: L, row: 7691, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7694 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7694, expected_value: E12000007, label: geography} + - {column: D, row: 7694, expected_value: Males, label: sex} + - {column: E, row: 7694, expected_value: Self-employed, label: employment type} + - {column: J, row: 7694, expected_value: Value, label: measure} + - {column: L, row: 7695, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7696 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7696, expected_value: E12000007, label: geography} + - {column: D, row: 7696, expected_value: Males, label: sex} + - {column: E, row: 7696, expected_value: Self-employed, label: employment type} + - {column: J, row: 7696, expected_value: Value, label: measure} + - {column: L, row: 7697, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7698 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7698, expected_value: E12000007, label: geography} + - {column: D, row: 7698, expected_value: Males, label: sex} + - {column: E, row: 7698, expected_value: Self-employed, label: employment type} + - {column: J, row: 7698, expected_value: Value, label: measure} + - {column: L, row: 7699, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7700 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7700, expected_value: E12000007, label: geography} + - {column: D, row: 7700, expected_value: Males, label: sex} + - {column: E, row: 7700, expected_value: Self-employed, label: employment type} + - {column: J, row: 7700, expected_value: Value, label: measure} + - {column: L, row: 7701, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7702 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7702, expected_value: E12000007, label: geography} + - {column: D, row: 7702, expected_value: Males, label: sex} + - {column: E, row: 7702, expected_value: Self-employed, label: employment type} + - {column: J, row: 7702, expected_value: Value, label: measure} + - {column: L, row: 7703, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7704 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7704, expected_value: E12000007, label: geography} + - {column: D, row: 7704, expected_value: Males, label: sex} + - {column: E, row: 7704, expected_value: Self-employed, label: employment type} + - {column: J, row: 7704, expected_value: Value, label: measure} + - {column: L, row: 7705, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7635 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7635, expected_value: E12000007, label: geography} + - {column: D, row: 7635, expected_value: Males, label: sex} + - {column: E, row: 7635, expected_value: Self-employed, label: employment type} + - {column: J, row: 7635, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7637 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7637, expected_value: E12000007, label: geography} + - {column: D, row: 7637, expected_value: Males, label: sex} + - {column: E, row: 7637, expected_value: Self-employed, label: employment type} + - {column: J, row: 7637, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7639 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7639, expected_value: E12000007, label: geography} + - {column: D, row: 7639, expected_value: Males, label: sex} + - {column: E, row: 7639, expected_value: Self-employed, label: employment type} + - {column: J, row: 7639, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7641 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7641, expected_value: E12000007, label: geography} + - {column: D, row: 7641, expected_value: Males, label: sex} + - {column: E, row: 7641, expected_value: Self-employed, label: employment type} + - {column: J, row: 7641, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7643 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7643, expected_value: E12000007, label: geography} + - {column: D, row: 7643, expected_value: Males, label: sex} + - {column: E, row: 7643, expected_value: Self-employed, label: employment type} + - {column: J, row: 7643, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7645 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7645, expected_value: E12000007, label: geography} + - {column: D, row: 7645, expected_value: Males, label: sex} + - {column: E, row: 7645, expected_value: Self-employed, label: employment type} + - {column: J, row: 7645, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7647 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7647, expected_value: E12000007, label: geography} + - {column: D, row: 7647, expected_value: Males, label: sex} + - {column: E, row: 7647, expected_value: Self-employed, label: employment type} + - {column: J, row: 7647, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7649 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7649, expected_value: E12000007, label: geography} + - {column: D, row: 7649, expected_value: Males, label: sex} + - {column: E, row: 7649, expected_value: Self-employed, label: employment type} + - {column: J, row: 7649, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7651 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7651, expected_value: E12000007, label: geography} + - {column: D, row: 7651, expected_value: Males, label: sex} + - {column: E, row: 7651, expected_value: Self-employed, label: employment type} + - {column: J, row: 7651, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7653 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7653, expected_value: E12000007, label: geography} + - {column: D, row: 7653, expected_value: Males, label: sex} + - {column: E, row: 7653, expected_value: Self-employed, label: employment type} + - {column: J, row: 7653, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7661 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7661, expected_value: E12000007, label: geography} + - {column: D, row: 7661, expected_value: Males, label: sex} + - {column: E, row: 7661, expected_value: Self-employed, label: employment type} + - {column: J, row: 7661, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7663 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7663, expected_value: E12000007, label: geography} + - {column: D, row: 7663, expected_value: Males, label: sex} + - {column: E, row: 7663, expected_value: Self-employed, label: employment type} + - {column: J, row: 7663, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7671 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7671, expected_value: E12000007, label: geography} + - {column: D, row: 7671, expected_value: Males, label: sex} + - {column: E, row: 7671, expected_value: Self-employed, label: employment type} + - {column: J, row: 7671, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7675 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7675, expected_value: E12000007, label: geography} + - {column: D, row: 7675, expected_value: Males, label: sex} + - {column: E, row: 7675, expected_value: Self-employed, label: employment type} + - {column: J, row: 7675, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7677 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7677, expected_value: E12000007, label: geography} + - {column: D, row: 7677, expected_value: Males, label: sex} + - {column: E, row: 7677, expected_value: Self-employed, label: employment type} + - {column: J, row: 7677, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7681 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7681, expected_value: E12000007, label: geography} + - {column: D, row: 7681, expected_value: Males, label: sex} + - {column: E, row: 7681, expected_value: Self-employed, label: employment type} + - {column: J, row: 7681, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7689 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7689, expected_value: E12000007, label: geography} + - {column: D, row: 7689, expected_value: Males, label: sex} + - {column: E, row: 7689, expected_value: Self-employed, label: employment type} + - {column: J, row: 7689, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7691 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7691, expected_value: E12000007, label: geography} + - {column: D, row: 7691, expected_value: Males, label: sex} + - {column: E, row: 7691, expected_value: Self-employed, label: employment type} + - {column: J, row: 7691, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7695 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7695, expected_value: E12000007, label: geography} + - {column: D, row: 7695, expected_value: Males, label: sex} + - {column: E, row: 7695, expected_value: Self-employed, label: employment type} + - {column: J, row: 7695, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7697 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7697, expected_value: E12000007, label: geography} + - {column: D, row: 7697, expected_value: Males, label: sex} + - {column: E, row: 7697, expected_value: Self-employed, label: employment type} + - {column: J, row: 7697, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7699 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7699, expected_value: E12000007, label: geography} + - {column: D, row: 7699, expected_value: Males, label: sex} + - {column: E, row: 7699, expected_value: Self-employed, label: employment type} + - {column: J, row: 7699, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7701 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7701, expected_value: E12000007, label: geography} + - {column: D, row: 7701, expected_value: Males, label: sex} + - {column: E, row: 7701, expected_value: Self-employed, label: employment type} + - {column: J, row: 7701, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7274 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7274, expected_value: E12000007, label: geography} + - {column: D, row: 7274, expected_value: Females, label: sex} + - {column: E, row: 7274, expected_value: Total, label: employment type} + - {column: J, row: 7274, expected_value: Value, label: measure} + - {column: L, row: 7275, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7276 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7276, expected_value: E12000007, label: geography} + - {column: D, row: 7276, expected_value: Females, label: sex} + - {column: E, row: 7276, expected_value: Total, label: employment type} + - {column: J, row: 7276, expected_value: Value, label: measure} + - {column: L, row: 7277, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7278 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7278, expected_value: E12000007, label: geography} + - {column: D, row: 7278, expected_value: Females, label: sex} + - {column: E, row: 7278, expected_value: Total, label: employment type} + - {column: J, row: 7278, expected_value: Value, label: measure} + - {column: L, row: 7279, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7280 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7280, expected_value: E12000007, label: geography} + - {column: D, row: 7280, expected_value: Females, label: sex} + - {column: E, row: 7280, expected_value: Total, label: employment type} + - {column: J, row: 7280, expected_value: Value, label: measure} + - {column: L, row: 7281, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7282 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7282, expected_value: E12000007, label: geography} + - {column: D, row: 7282, expected_value: Females, label: sex} + - {column: E, row: 7282, expected_value: Total, label: employment type} + - {column: J, row: 7282, expected_value: Value, label: measure} + - {column: L, row: 7283, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7284 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7284, expected_value: E12000007, label: geography} + - {column: D, row: 7284, expected_value: Females, label: sex} + - {column: E, row: 7284, expected_value: Total, label: employment type} + - {column: J, row: 7284, expected_value: Value, label: measure} + - {column: L, row: 7285, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7286 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7286, expected_value: E12000007, label: geography} + - {column: D, row: 7286, expected_value: Females, label: sex} + - {column: E, row: 7286, expected_value: Total, label: employment type} + - {column: J, row: 7286, expected_value: Value, label: measure} + - {column: L, row: 7287, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7288 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7288, expected_value: E12000007, label: geography} + - {column: D, row: 7288, expected_value: Females, label: sex} + - {column: E, row: 7288, expected_value: Total, label: employment type} + - {column: J, row: 7288, expected_value: Value, label: measure} + - {column: L, row: 7289, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7290 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7290, expected_value: E12000007, label: geography} + - {column: D, row: 7290, expected_value: Females, label: sex} + - {column: E, row: 7290, expected_value: Total, label: employment type} + - {column: J, row: 7290, expected_value: Value, label: measure} + - {column: L, row: 7291, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7292 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7292, expected_value: E12000007, label: geography} + - {column: D, row: 7292, expected_value: Females, label: sex} + - {column: E, row: 7292, expected_value: Total, label: employment type} + - {column: J, row: 7292, expected_value: Value, label: measure} + - {column: L, row: 7293, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7294 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7294, expected_value: E12000007, label: geography} + - {column: D, row: 7294, expected_value: Females, label: sex} + - {column: E, row: 7294, expected_value: Total, label: employment type} + - {column: J, row: 7294, expected_value: Value, label: measure} + - {column: L, row: 7295, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7296 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7296, expected_value: E12000007, label: geography} + - {column: D, row: 7296, expected_value: Females, label: sex} + - {column: E, row: 7296, expected_value: Total, label: employment type} + - {column: J, row: 7296, expected_value: Value, label: measure} + - {column: L, row: 7297, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7298 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7298, expected_value: E12000007, label: geography} + - {column: D, row: 7298, expected_value: Females, label: sex} + - {column: E, row: 7298, expected_value: Total, label: employment type} + - {column: J, row: 7298, expected_value: Value, label: measure} + - {column: L, row: 7299, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7300 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7300, expected_value: E12000007, label: geography} + - {column: D, row: 7300, expected_value: Females, label: sex} + - {column: E, row: 7300, expected_value: Total, label: employment type} + - {column: J, row: 7300, expected_value: Value, label: measure} + - {column: L, row: 7301, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7302 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7302, expected_value: E12000007, label: geography} + - {column: D, row: 7302, expected_value: Females, label: sex} + - {column: E, row: 7302, expected_value: Total, label: employment type} + - {column: J, row: 7302, expected_value: Value, label: measure} + - {column: L, row: 7303, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7304 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7304, expected_value: E12000007, label: geography} + - {column: D, row: 7304, expected_value: Females, label: sex} + - {column: E, row: 7304, expected_value: Total, label: employment type} + - {column: J, row: 7304, expected_value: Value, label: measure} + - {column: L, row: 7305, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7306 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7306, expected_value: E12000007, label: geography} + - {column: D, row: 7306, expected_value: Females, label: sex} + - {column: E, row: 7306, expected_value: Total, label: employment type} + - {column: J, row: 7306, expected_value: Value, label: measure} + - {column: L, row: 7307, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7308 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7308, expected_value: E12000007, label: geography} + - {column: D, row: 7308, expected_value: Females, label: sex} + - {column: E, row: 7308, expected_value: Total, label: employment type} + - {column: J, row: 7308, expected_value: Value, label: measure} + - {column: L, row: 7309, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7310 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7310, expected_value: E12000007, label: geography} + - {column: D, row: 7310, expected_value: Females, label: sex} + - {column: E, row: 7310, expected_value: Total, label: employment type} + - {column: J, row: 7310, expected_value: Value, label: measure} + - {column: L, row: 7311, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7312 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7312, expected_value: E12000007, label: geography} + - {column: D, row: 7312, expected_value: Females, label: sex} + - {column: E, row: 7312, expected_value: Total, label: employment type} + - {column: J, row: 7312, expected_value: Value, label: measure} + - {column: L, row: 7313, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7314 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7314, expected_value: E12000007, label: geography} + - {column: D, row: 7314, expected_value: Females, label: sex} + - {column: E, row: 7314, expected_value: Total, label: employment type} + - {column: J, row: 7314, expected_value: Value, label: measure} + - {column: L, row: 7315, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7316 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7316, expected_value: E12000007, label: geography} + - {column: D, row: 7316, expected_value: Females, label: sex} + - {column: E, row: 7316, expected_value: Total, label: employment type} + - {column: J, row: 7316, expected_value: Value, label: measure} + - {column: L, row: 7317, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7318 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7318, expected_value: E12000007, label: geography} + - {column: D, row: 7318, expected_value: Females, label: sex} + - {column: E, row: 7318, expected_value: Total, label: employment type} + - {column: J, row: 7318, expected_value: Value, label: measure} + - {column: L, row: 7319, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7320 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7320, expected_value: E12000007, label: geography} + - {column: D, row: 7320, expected_value: Females, label: sex} + - {column: E, row: 7320, expected_value: Total, label: employment type} + - {column: J, row: 7320, expected_value: Value, label: measure} + - {column: L, row: 7321, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7322 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7322, expected_value: E12000007, label: geography} + - {column: D, row: 7322, expected_value: Females, label: sex} + - {column: E, row: 7322, expected_value: Total, label: employment type} + - {column: J, row: 7322, expected_value: Value, label: measure} + - {column: L, row: 7323, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7324 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7324, expected_value: E12000007, label: geography} + - {column: D, row: 7324, expected_value: Females, label: sex} + - {column: E, row: 7324, expected_value: Total, label: employment type} + - {column: J, row: 7324, expected_value: Value, label: measure} + - {column: L, row: 7325, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7328 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7328, expected_value: E12000007, label: geography} + - {column: D, row: 7328, expected_value: Females, label: sex} + - {column: E, row: 7328, expected_value: Total, label: employment type} + - {column: J, row: 7328, expected_value: Value, label: measure} + - {column: L, row: 7329, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7330 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7330, expected_value: E12000007, label: geography} + - {column: D, row: 7330, expected_value: Females, label: sex} + - {column: E, row: 7330, expected_value: Total, label: employment type} + - {column: J, row: 7330, expected_value: Value, label: measure} + - {column: L, row: 7331, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7332 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7332, expected_value: E12000007, label: geography} + - {column: D, row: 7332, expected_value: Females, label: sex} + - {column: E, row: 7332, expected_value: Total, label: employment type} + - {column: J, row: 7332, expected_value: Value, label: measure} + - {column: L, row: 7333, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7334 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7334, expected_value: E12000007, label: geography} + - {column: D, row: 7334, expected_value: Females, label: sex} + - {column: E, row: 7334, expected_value: Total, label: employment type} + - {column: J, row: 7334, expected_value: Value, label: measure} + - {column: L, row: 7335, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7336 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7336, expected_value: E12000007, label: geography} + - {column: D, row: 7336, expected_value: Females, label: sex} + - {column: E, row: 7336, expected_value: Total, label: employment type} + - {column: J, row: 7336, expected_value: Value, label: measure} + - {column: L, row: 7337, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7338 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7338, expected_value: E12000007, label: geography} + - {column: D, row: 7338, expected_value: Females, label: sex} + - {column: E, row: 7338, expected_value: Total, label: employment type} + - {column: J, row: 7338, expected_value: Value, label: measure} + - {column: L, row: 7339, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7340 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7340, expected_value: E12000007, label: geography} + - {column: D, row: 7340, expected_value: Females, label: sex} + - {column: E, row: 7340, expected_value: Total, label: employment type} + - {column: J, row: 7340, expected_value: Value, label: measure} + - {column: L, row: 7341, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7342 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7342, expected_value: E12000007, label: geography} + - {column: D, row: 7342, expected_value: Females, label: sex} + - {column: E, row: 7342, expected_value: Total, label: employment type} + - {column: J, row: 7342, expected_value: Value, label: measure} + - {column: L, row: 7343, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7344 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7344, expected_value: E12000007, label: geography} + - {column: D, row: 7344, expected_value: Females, label: sex} + - {column: E, row: 7344, expected_value: Total, label: employment type} + - {column: J, row: 7344, expected_value: Value, label: measure} + - {column: L, row: 7345, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7275 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7275, expected_value: E12000007, label: geography} + - {column: D, row: 7275, expected_value: Females, label: sex} + - {column: E, row: 7275, expected_value: Total, label: employment type} + - {column: J, row: 7275, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7277 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7277, expected_value: E12000007, label: geography} + - {column: D, row: 7277, expected_value: Females, label: sex} + - {column: E, row: 7277, expected_value: Total, label: employment type} + - {column: J, row: 7277, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7279 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7279, expected_value: E12000007, label: geography} + - {column: D, row: 7279, expected_value: Females, label: sex} + - {column: E, row: 7279, expected_value: Total, label: employment type} + - {column: J, row: 7279, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7281 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7281, expected_value: E12000007, label: geography} + - {column: D, row: 7281, expected_value: Females, label: sex} + - {column: E, row: 7281, expected_value: Total, label: employment type} + - {column: J, row: 7281, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7283 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7283, expected_value: E12000007, label: geography} + - {column: D, row: 7283, expected_value: Females, label: sex} + - {column: E, row: 7283, expected_value: Total, label: employment type} + - {column: J, row: 7283, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7285 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7285, expected_value: E12000007, label: geography} + - {column: D, row: 7285, expected_value: Females, label: sex} + - {column: E, row: 7285, expected_value: Total, label: employment type} + - {column: J, row: 7285, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7287 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7287, expected_value: E12000007, label: geography} + - {column: D, row: 7287, expected_value: Females, label: sex} + - {column: E, row: 7287, expected_value: Total, label: employment type} + - {column: J, row: 7287, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7289 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7289, expected_value: E12000007, label: geography} + - {column: D, row: 7289, expected_value: Females, label: sex} + - {column: E, row: 7289, expected_value: Total, label: employment type} + - {column: J, row: 7289, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7291 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7291, expected_value: E12000007, label: geography} + - {column: D, row: 7291, expected_value: Females, label: sex} + - {column: E, row: 7291, expected_value: Total, label: employment type} + - {column: J, row: 7291, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7293 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7293, expected_value: E12000007, label: geography} + - {column: D, row: 7293, expected_value: Females, label: sex} + - {column: E, row: 7293, expected_value: Total, label: employment type} + - {column: J, row: 7293, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7295 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7295, expected_value: E12000007, label: geography} + - {column: D, row: 7295, expected_value: Females, label: sex} + - {column: E, row: 7295, expected_value: Total, label: employment type} + - {column: J, row: 7295, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7297 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7297, expected_value: E12000007, label: geography} + - {column: D, row: 7297, expected_value: Females, label: sex} + - {column: E, row: 7297, expected_value: Total, label: employment type} + - {column: J, row: 7297, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7299 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7299, expected_value: E12000007, label: geography} + - {column: D, row: 7299, expected_value: Females, label: sex} + - {column: E, row: 7299, expected_value: Total, label: employment type} + - {column: J, row: 7299, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7301 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7301, expected_value: E12000007, label: geography} + - {column: D, row: 7301, expected_value: Females, label: sex} + - {column: E, row: 7301, expected_value: Total, label: employment type} + - {column: J, row: 7301, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7303 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7303, expected_value: E12000007, label: geography} + - {column: D, row: 7303, expected_value: Females, label: sex} + - {column: E, row: 7303, expected_value: Total, label: employment type} + - {column: J, row: 7303, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7305 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7305, expected_value: E12000007, label: geography} + - {column: D, row: 7305, expected_value: Females, label: sex} + - {column: E, row: 7305, expected_value: Total, label: employment type} + - {column: J, row: 7305, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7307 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7307, expected_value: E12000007, label: geography} + - {column: D, row: 7307, expected_value: Females, label: sex} + - {column: E, row: 7307, expected_value: Total, label: employment type} + - {column: J, row: 7307, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7309 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7309, expected_value: E12000007, label: geography} + - {column: D, row: 7309, expected_value: Females, label: sex} + - {column: E, row: 7309, expected_value: Total, label: employment type} + - {column: J, row: 7309, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7311 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7311, expected_value: E12000007, label: geography} + - {column: D, row: 7311, expected_value: Females, label: sex} + - {column: E, row: 7311, expected_value: Total, label: employment type} + - {column: J, row: 7311, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7319 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7319, expected_value: E12000007, label: geography} + - {column: D, row: 7319, expected_value: Females, label: sex} + - {column: E, row: 7319, expected_value: Total, label: employment type} + - {column: J, row: 7319, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7321 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7321, expected_value: E12000007, label: geography} + - {column: D, row: 7321, expected_value: Females, label: sex} + - {column: E, row: 7321, expected_value: Total, label: employment type} + - {column: J, row: 7321, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7323 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7323, expected_value: E12000007, label: geography} + - {column: D, row: 7323, expected_value: Females, label: sex} + - {column: E, row: 7323, expected_value: Total, label: employment type} + - {column: J, row: 7323, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7325 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7325, expected_value: E12000007, label: geography} + - {column: D, row: 7325, expected_value: Females, label: sex} + - {column: E, row: 7325, expected_value: Total, label: employment type} + - {column: J, row: 7325, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7329 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7329, expected_value: E12000007, label: geography} + - {column: D, row: 7329, expected_value: Females, label: sex} + - {column: E, row: 7329, expected_value: Total, label: employment type} + - {column: J, row: 7329, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7331 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7331, expected_value: E12000007, label: geography} + - {column: D, row: 7331, expected_value: Females, label: sex} + - {column: E, row: 7331, expected_value: Total, label: employment type} + - {column: J, row: 7331, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7333 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7333, expected_value: E12000007, label: geography} + - {column: D, row: 7333, expected_value: Females, label: sex} + - {column: E, row: 7333, expected_value: Total, label: employment type} + - {column: J, row: 7333, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7335 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7335, expected_value: E12000007, label: geography} + - {column: D, row: 7335, expected_value: Females, label: sex} + - {column: E, row: 7335, expected_value: Total, label: employment type} + - {column: J, row: 7335, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7337 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7337, expected_value: E12000007, label: geography} + - {column: D, row: 7337, expected_value: Females, label: sex} + - {column: E, row: 7337, expected_value: Total, label: employment type} + - {column: J, row: 7337, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7339 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7339, expected_value: E12000007, label: geography} + - {column: D, row: 7339, expected_value: Females, label: sex} + - {column: E, row: 7339, expected_value: Total, label: employment type} + - {column: J, row: 7339, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7341 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7341, expected_value: E12000007, label: geography} + - {column: D, row: 7341, expected_value: Females, label: sex} + - {column: E, row: 7341, expected_value: Total, label: employment type} + - {column: J, row: 7341, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7345 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7345, expected_value: E12000007, label: geography} + - {column: D, row: 7345, expected_value: Females, label: sex} + - {column: E, row: 7345, expected_value: Total, label: employment type} + - {column: J, row: 7345, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7490 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7490, expected_value: E12000007, label: geography} + - {column: D, row: 7490, expected_value: Females, label: sex} + - {column: E, row: 7490, expected_value: Employee, label: employment type} + - {column: J, row: 7490, expected_value: Value, label: measure} + - {column: L, row: 7491, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7492 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7492, expected_value: E12000007, label: geography} + - {column: D, row: 7492, expected_value: Females, label: sex} + - {column: E, row: 7492, expected_value: Employee, label: employment type} + - {column: J, row: 7492, expected_value: Value, label: measure} + - {column: L, row: 7493, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7494 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7494, expected_value: E12000007, label: geography} + - {column: D, row: 7494, expected_value: Females, label: sex} + - {column: E, row: 7494, expected_value: Employee, label: employment type} + - {column: J, row: 7494, expected_value: Value, label: measure} + - {column: L, row: 7495, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7496 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7496, expected_value: E12000007, label: geography} + - {column: D, row: 7496, expected_value: Females, label: sex} + - {column: E, row: 7496, expected_value: Employee, label: employment type} + - {column: J, row: 7496, expected_value: Value, label: measure} + - {column: L, row: 7497, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7498 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7498, expected_value: E12000007, label: geography} + - {column: D, row: 7498, expected_value: Females, label: sex} + - {column: E, row: 7498, expected_value: Employee, label: employment type} + - {column: J, row: 7498, expected_value: Value, label: measure} + - {column: L, row: 7499, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7500 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7500, expected_value: E12000007, label: geography} + - {column: D, row: 7500, expected_value: Females, label: sex} + - {column: E, row: 7500, expected_value: Employee, label: employment type} + - {column: J, row: 7500, expected_value: Value, label: measure} + - {column: L, row: 7501, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7502 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7502, expected_value: E12000007, label: geography} + - {column: D, row: 7502, expected_value: Females, label: sex} + - {column: E, row: 7502, expected_value: Employee, label: employment type} + - {column: J, row: 7502, expected_value: Value, label: measure} + - {column: L, row: 7503, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7504 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7504, expected_value: E12000007, label: geography} + - {column: D, row: 7504, expected_value: Females, label: sex} + - {column: E, row: 7504, expected_value: Employee, label: employment type} + - {column: J, row: 7504, expected_value: Value, label: measure} + - {column: L, row: 7505, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7506 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7506, expected_value: E12000007, label: geography} + - {column: D, row: 7506, expected_value: Females, label: sex} + - {column: E, row: 7506, expected_value: Employee, label: employment type} + - {column: J, row: 7506, expected_value: Value, label: measure} + - {column: L, row: 7507, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7508 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7508, expected_value: E12000007, label: geography} + - {column: D, row: 7508, expected_value: Females, label: sex} + - {column: E, row: 7508, expected_value: Employee, label: employment type} + - {column: J, row: 7508, expected_value: Value, label: measure} + - {column: L, row: 7509, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7510 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7510, expected_value: E12000007, label: geography} + - {column: D, row: 7510, expected_value: Females, label: sex} + - {column: E, row: 7510, expected_value: Employee, label: employment type} + - {column: J, row: 7510, expected_value: Value, label: measure} + - {column: L, row: 7511, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7512 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7512, expected_value: E12000007, label: geography} + - {column: D, row: 7512, expected_value: Females, label: sex} + - {column: E, row: 7512, expected_value: Employee, label: employment type} + - {column: J, row: 7512, expected_value: Value, label: measure} + - {column: L, row: 7513, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7514 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7514, expected_value: E12000007, label: geography} + - {column: D, row: 7514, expected_value: Females, label: sex} + - {column: E, row: 7514, expected_value: Employee, label: employment type} + - {column: J, row: 7514, expected_value: Value, label: measure} + - {column: L, row: 7515, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7516 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7516, expected_value: E12000007, label: geography} + - {column: D, row: 7516, expected_value: Females, label: sex} + - {column: E, row: 7516, expected_value: Employee, label: employment type} + - {column: J, row: 7516, expected_value: Value, label: measure} + - {column: L, row: 7517, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7518 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7518, expected_value: E12000007, label: geography} + - {column: D, row: 7518, expected_value: Females, label: sex} + - {column: E, row: 7518, expected_value: Employee, label: employment type} + - {column: J, row: 7518, expected_value: Value, label: measure} + - {column: L, row: 7519, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7520 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7520, expected_value: E12000007, label: geography} + - {column: D, row: 7520, expected_value: Females, label: sex} + - {column: E, row: 7520, expected_value: Employee, label: employment type} + - {column: J, row: 7520, expected_value: Value, label: measure} + - {column: L, row: 7521, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7522 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7522, expected_value: E12000007, label: geography} + - {column: D, row: 7522, expected_value: Females, label: sex} + - {column: E, row: 7522, expected_value: Employee, label: employment type} + - {column: J, row: 7522, expected_value: Value, label: measure} + - {column: L, row: 7523, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7524 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7524, expected_value: E12000007, label: geography} + - {column: D, row: 7524, expected_value: Females, label: sex} + - {column: E, row: 7524, expected_value: Employee, label: employment type} + - {column: J, row: 7524, expected_value: Value, label: measure} + - {column: L, row: 7525, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7526 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7526, expected_value: E12000007, label: geography} + - {column: D, row: 7526, expected_value: Females, label: sex} + - {column: E, row: 7526, expected_value: Employee, label: employment type} + - {column: J, row: 7526, expected_value: Value, label: measure} + - {column: L, row: 7527, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7530 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7530, expected_value: E12000007, label: geography} + - {column: D, row: 7530, expected_value: Females, label: sex} + - {column: E, row: 7530, expected_value: Employee, label: employment type} + - {column: J, row: 7530, expected_value: Value, label: measure} + - {column: L, row: 7531, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7532 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7532, expected_value: E12000007, label: geography} + - {column: D, row: 7532, expected_value: Females, label: sex} + - {column: E, row: 7532, expected_value: Employee, label: employment type} + - {column: J, row: 7532, expected_value: Value, label: measure} + - {column: L, row: 7533, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7534 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7534, expected_value: E12000007, label: geography} + - {column: D, row: 7534, expected_value: Females, label: sex} + - {column: E, row: 7534, expected_value: Employee, label: employment type} + - {column: J, row: 7534, expected_value: Value, label: measure} + - {column: L, row: 7535, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7536 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7536, expected_value: E12000007, label: geography} + - {column: D, row: 7536, expected_value: Females, label: sex} + - {column: E, row: 7536, expected_value: Employee, label: employment type} + - {column: J, row: 7536, expected_value: Value, label: measure} + - {column: L, row: 7537, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7538 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7538, expected_value: E12000007, label: geography} + - {column: D, row: 7538, expected_value: Females, label: sex} + - {column: E, row: 7538, expected_value: Employee, label: employment type} + - {column: J, row: 7538, expected_value: Value, label: measure} + - {column: L, row: 7539, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7540 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7540, expected_value: E12000007, label: geography} + - {column: D, row: 7540, expected_value: Females, label: sex} + - {column: E, row: 7540, expected_value: Employee, label: employment type} + - {column: J, row: 7540, expected_value: Value, label: measure} + - {column: L, row: 7541, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7544 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7544, expected_value: E12000007, label: geography} + - {column: D, row: 7544, expected_value: Females, label: sex} + - {column: E, row: 7544, expected_value: Employee, label: employment type} + - {column: J, row: 7544, expected_value: Value, label: measure} + - {column: L, row: 7545, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7546 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7546, expected_value: E12000007, label: geography} + - {column: D, row: 7546, expected_value: Females, label: sex} + - {column: E, row: 7546, expected_value: Employee, label: employment type} + - {column: J, row: 7546, expected_value: Value, label: measure} + - {column: L, row: 7547, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7548 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7548, expected_value: E12000007, label: geography} + - {column: D, row: 7548, expected_value: Females, label: sex} + - {column: E, row: 7548, expected_value: Employee, label: employment type} + - {column: J, row: 7548, expected_value: Value, label: measure} + - {column: L, row: 7549, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7550 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7550, expected_value: E12000007, label: geography} + - {column: D, row: 7550, expected_value: Females, label: sex} + - {column: E, row: 7550, expected_value: Employee, label: employment type} + - {column: J, row: 7550, expected_value: Value, label: measure} + - {column: L, row: 7551, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7552 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7552, expected_value: E12000007, label: geography} + - {column: D, row: 7552, expected_value: Females, label: sex} + - {column: E, row: 7552, expected_value: Employee, label: employment type} + - {column: J, row: 7552, expected_value: Value, label: measure} + - {column: L, row: 7553, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7554 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7554, expected_value: E12000007, label: geography} + - {column: D, row: 7554, expected_value: Females, label: sex} + - {column: E, row: 7554, expected_value: Employee, label: employment type} + - {column: J, row: 7554, expected_value: Value, label: measure} + - {column: L, row: 7555, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7556 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7556, expected_value: E12000007, label: geography} + - {column: D, row: 7556, expected_value: Females, label: sex} + - {column: E, row: 7556, expected_value: Employee, label: employment type} + - {column: J, row: 7556, expected_value: Value, label: measure} + - {column: L, row: 7557, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7558 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7558, expected_value: E12000007, label: geography} + - {column: D, row: 7558, expected_value: Females, label: sex} + - {column: E, row: 7558, expected_value: Employee, label: employment type} + - {column: J, row: 7558, expected_value: Value, label: measure} + - {column: L, row: 7559, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7560 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7560, expected_value: E12000007, label: geography} + - {column: D, row: 7560, expected_value: Females, label: sex} + - {column: E, row: 7560, expected_value: Employee, label: employment type} + - {column: J, row: 7560, expected_value: Value, label: measure} + - {column: L, row: 7561, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7491 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7491, expected_value: E12000007, label: geography} + - {column: D, row: 7491, expected_value: Females, label: sex} + - {column: E, row: 7491, expected_value: Employee, label: employment type} + - {column: J, row: 7491, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7493 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7493, expected_value: E12000007, label: geography} + - {column: D, row: 7493, expected_value: Females, label: sex} + - {column: E, row: 7493, expected_value: Employee, label: employment type} + - {column: J, row: 7493, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7495 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7495, expected_value: E12000007, label: geography} + - {column: D, row: 7495, expected_value: Females, label: sex} + - {column: E, row: 7495, expected_value: Employee, label: employment type} + - {column: J, row: 7495, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7497 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7497, expected_value: E12000007, label: geography} + - {column: D, row: 7497, expected_value: Females, label: sex} + - {column: E, row: 7497, expected_value: Employee, label: employment type} + - {column: J, row: 7497, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7499 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7499, expected_value: E12000007, label: geography} + - {column: D, row: 7499, expected_value: Females, label: sex} + - {column: E, row: 7499, expected_value: Employee, label: employment type} + - {column: J, row: 7499, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7501 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7501, expected_value: E12000007, label: geography} + - {column: D, row: 7501, expected_value: Females, label: sex} + - {column: E, row: 7501, expected_value: Employee, label: employment type} + - {column: J, row: 7501, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7503 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7503, expected_value: E12000007, label: geography} + - {column: D, row: 7503, expected_value: Females, label: sex} + - {column: E, row: 7503, expected_value: Employee, label: employment type} + - {column: J, row: 7503, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7505 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7505, expected_value: E12000007, label: geography} + - {column: D, row: 7505, expected_value: Females, label: sex} + - {column: E, row: 7505, expected_value: Employee, label: employment type} + - {column: J, row: 7505, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7507 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7507, expected_value: E12000007, label: geography} + - {column: D, row: 7507, expected_value: Females, label: sex} + - {column: E, row: 7507, expected_value: Employee, label: employment type} + - {column: J, row: 7507, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7509 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7509, expected_value: E12000007, label: geography} + - {column: D, row: 7509, expected_value: Females, label: sex} + - {column: E, row: 7509, expected_value: Employee, label: employment type} + - {column: J, row: 7509, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7511 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7511, expected_value: E12000007, label: geography} + - {column: D, row: 7511, expected_value: Females, label: sex} + - {column: E, row: 7511, expected_value: Employee, label: employment type} + - {column: J, row: 7511, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7513 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7513, expected_value: E12000007, label: geography} + - {column: D, row: 7513, expected_value: Females, label: sex} + - {column: E, row: 7513, expected_value: Employee, label: employment type} + - {column: J, row: 7513, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7515 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7515, expected_value: E12000007, label: geography} + - {column: D, row: 7515, expected_value: Females, label: sex} + - {column: E, row: 7515, expected_value: Employee, label: employment type} + - {column: J, row: 7515, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7517 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7517, expected_value: E12000007, label: geography} + - {column: D, row: 7517, expected_value: Females, label: sex} + - {column: E, row: 7517, expected_value: Employee, label: employment type} + - {column: J, row: 7517, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7519 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7519, expected_value: E12000007, label: geography} + - {column: D, row: 7519, expected_value: Females, label: sex} + - {column: E, row: 7519, expected_value: Employee, label: employment type} + - {column: J, row: 7519, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7521 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7521, expected_value: E12000007, label: geography} + - {column: D, row: 7521, expected_value: Females, label: sex} + - {column: E, row: 7521, expected_value: Employee, label: employment type} + - {column: J, row: 7521, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7523 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7523, expected_value: E12000007, label: geography} + - {column: D, row: 7523, expected_value: Females, label: sex} + - {column: E, row: 7523, expected_value: Employee, label: employment type} + - {column: J, row: 7523, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7525 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7525, expected_value: E12000007, label: geography} + - {column: D, row: 7525, expected_value: Females, label: sex} + - {column: E, row: 7525, expected_value: Employee, label: employment type} + - {column: J, row: 7525, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7527 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7527, expected_value: E12000007, label: geography} + - {column: D, row: 7527, expected_value: Females, label: sex} + - {column: E, row: 7527, expected_value: Employee, label: employment type} + - {column: J, row: 7527, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7535 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7535, expected_value: E12000007, label: geography} + - {column: D, row: 7535, expected_value: Females, label: sex} + - {column: E, row: 7535, expected_value: Employee, label: employment type} + - {column: J, row: 7535, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7537 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7537, expected_value: E12000007, label: geography} + - {column: D, row: 7537, expected_value: Females, label: sex} + - {column: E, row: 7537, expected_value: Employee, label: employment type} + - {column: J, row: 7537, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7539 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7539, expected_value: E12000007, label: geography} + - {column: D, row: 7539, expected_value: Females, label: sex} + - {column: E, row: 7539, expected_value: Employee, label: employment type} + - {column: J, row: 7539, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7541 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7541, expected_value: E12000007, label: geography} + - {column: D, row: 7541, expected_value: Females, label: sex} + - {column: E, row: 7541, expected_value: Employee, label: employment type} + - {column: J, row: 7541, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7545 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7545, expected_value: E12000007, label: geography} + - {column: D, row: 7545, expected_value: Females, label: sex} + - {column: E, row: 7545, expected_value: Employee, label: employment type} + - {column: J, row: 7545, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7547 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7547, expected_value: E12000007, label: geography} + - {column: D, row: 7547, expected_value: Females, label: sex} + - {column: E, row: 7547, expected_value: Employee, label: employment type} + - {column: J, row: 7547, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7549 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7549, expected_value: E12000007, label: geography} + - {column: D, row: 7549, expected_value: Females, label: sex} + - {column: E, row: 7549, expected_value: Employee, label: employment type} + - {column: J, row: 7549, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7551 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7551, expected_value: E12000007, label: geography} + - {column: D, row: 7551, expected_value: Females, label: sex} + - {column: E, row: 7551, expected_value: Employee, label: employment type} + - {column: J, row: 7551, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7555 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7555, expected_value: E12000007, label: geography} + - {column: D, row: 7555, expected_value: Females, label: sex} + - {column: E, row: 7555, expected_value: Employee, label: employment type} + - {column: J, row: 7555, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7557 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7557, expected_value: E12000007, label: geography} + - {column: D, row: 7557, expected_value: Females, label: sex} + - {column: E, row: 7557, expected_value: Employee, label: employment type} + - {column: J, row: 7557, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7561 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7561, expected_value: E12000007, label: geography} + - {column: D, row: 7561, expected_value: Females, label: sex} + - {column: E, row: 7561, expected_value: Employee, label: employment type} + - {column: J, row: 7561, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7706 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7706, expected_value: E12000007, label: geography} + - {column: D, row: 7706, expected_value: Females, label: sex} + - {column: E, row: 7706, expected_value: Self-employed, label: employment type} + - {column: J, row: 7706, expected_value: Value, label: measure} + - {column: L, row: 7707, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7708 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7708, expected_value: E12000007, label: geography} + - {column: D, row: 7708, expected_value: Females, label: sex} + - {column: E, row: 7708, expected_value: Self-employed, label: employment type} + - {column: J, row: 7708, expected_value: Value, label: measure} + - {column: L, row: 7709, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7710 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7710, expected_value: E12000007, label: geography} + - {column: D, row: 7710, expected_value: Females, label: sex} + - {column: E, row: 7710, expected_value: Self-employed, label: employment type} + - {column: J, row: 7710, expected_value: Value, label: measure} + - {column: L, row: 7711, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7712 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7712, expected_value: E12000007, label: geography} + - {column: D, row: 7712, expected_value: Females, label: sex} + - {column: E, row: 7712, expected_value: Self-employed, label: employment type} + - {column: J, row: 7712, expected_value: Value, label: measure} + - {column: L, row: 7713, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7714 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7714, expected_value: E12000007, label: geography} + - {column: D, row: 7714, expected_value: Females, label: sex} + - {column: E, row: 7714, expected_value: Self-employed, label: employment type} + - {column: J, row: 7714, expected_value: Value, label: measure} + - {column: L, row: 7715, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7716 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7716, expected_value: E12000007, label: geography} + - {column: D, row: 7716, expected_value: Females, label: sex} + - {column: E, row: 7716, expected_value: Self-employed, label: employment type} + - {column: J, row: 7716, expected_value: Value, label: measure} + - {column: L, row: 7717, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7718 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7718, expected_value: E12000007, label: geography} + - {column: D, row: 7718, expected_value: Females, label: sex} + - {column: E, row: 7718, expected_value: Self-employed, label: employment type} + - {column: J, row: 7718, expected_value: Value, label: measure} + - {column: L, row: 7719, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7720 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7720, expected_value: E12000007, label: geography} + - {column: D, row: 7720, expected_value: Females, label: sex} + - {column: E, row: 7720, expected_value: Self-employed, label: employment type} + - {column: J, row: 7720, expected_value: Value, label: measure} + - {column: L, row: 7721, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7722 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7722, expected_value: E12000007, label: geography} + - {column: D, row: 7722, expected_value: Females, label: sex} + - {column: E, row: 7722, expected_value: Self-employed, label: employment type} + - {column: J, row: 7722, expected_value: Value, label: measure} + - {column: L, row: 7723, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7724 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7724, expected_value: E12000007, label: geography} + - {column: D, row: 7724, expected_value: Females, label: sex} + - {column: E, row: 7724, expected_value: Self-employed, label: employment type} + - {column: J, row: 7724, expected_value: Value, label: measure} + - {column: L, row: 7725, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7728 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7728, expected_value: E12000007, label: geography} + - {column: D, row: 7728, expected_value: Females, label: sex} + - {column: E, row: 7728, expected_value: Self-employed, label: employment type} + - {column: J, row: 7728, expected_value: Value, label: measure} + - {column: L, row: 7729, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7732 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7732, expected_value: E12000007, label: geography} + - {column: D, row: 7732, expected_value: Females, label: sex} + - {column: E, row: 7732, expected_value: Self-employed, label: employment type} + - {column: J, row: 7732, expected_value: Value, label: measure} + - {column: L, row: 7733, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7734 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7734, expected_value: E12000007, label: geography} + - {column: D, row: 7734, expected_value: Females, label: sex} + - {column: E, row: 7734, expected_value: Self-employed, label: employment type} + - {column: J, row: 7734, expected_value: Value, label: measure} + - {column: L, row: 7735, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7736 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7736, expected_value: E12000007, label: geography} + - {column: D, row: 7736, expected_value: Females, label: sex} + - {column: E, row: 7736, expected_value: Self-employed, label: employment type} + - {column: J, row: 7736, expected_value: Value, label: measure} + - {column: L, row: 7737, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7738 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7738, expected_value: E12000007, label: geography} + - {column: D, row: 7738, expected_value: Females, label: sex} + - {column: E, row: 7738, expected_value: Self-employed, label: employment type} + - {column: J, row: 7738, expected_value: Value, label: measure} + - {column: L, row: 7739, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7740 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7740, expected_value: E12000007, label: geography} + - {column: D, row: 7740, expected_value: Females, label: sex} + - {column: E, row: 7740, expected_value: Self-employed, label: employment type} + - {column: J, row: 7740, expected_value: Value, label: measure} + - {column: L, row: 7741, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7742 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7742, expected_value: E12000007, label: geography} + - {column: D, row: 7742, expected_value: Females, label: sex} + - {column: E, row: 7742, expected_value: Self-employed, label: employment type} + - {column: J, row: 7742, expected_value: Value, label: measure} + - {column: L, row: 7743, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7744 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7744, expected_value: E12000007, label: geography} + - {column: D, row: 7744, expected_value: Females, label: sex} + - {column: E, row: 7744, expected_value: Self-employed, label: employment type} + - {column: J, row: 7744, expected_value: Value, label: measure} + - {column: L, row: 7745, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7746 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7746, expected_value: E12000007, label: geography} + - {column: D, row: 7746, expected_value: Females, label: sex} + - {column: E, row: 7746, expected_value: Self-employed, label: employment type} + - {column: J, row: 7746, expected_value: Value, label: measure} + - {column: L, row: 7747, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7748 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7748, expected_value: E12000007, label: geography} + - {column: D, row: 7748, expected_value: Females, label: sex} + - {column: E, row: 7748, expected_value: Self-employed, label: employment type} + - {column: J, row: 7748, expected_value: Value, label: measure} + - {column: L, row: 7749, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7750 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7750, expected_value: E12000007, label: geography} + - {column: D, row: 7750, expected_value: Females, label: sex} + - {column: E, row: 7750, expected_value: Self-employed, label: employment type} + - {column: J, row: 7750, expected_value: Value, label: measure} + - {column: L, row: 7751, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7752 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7752, expected_value: E12000007, label: geography} + - {column: D, row: 7752, expected_value: Females, label: sex} + - {column: E, row: 7752, expected_value: Self-employed, label: employment type} + - {column: J, row: 7752, expected_value: Value, label: measure} + - {column: L, row: 7753, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7754 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7754, expected_value: E12000007, label: geography} + - {column: D, row: 7754, expected_value: Females, label: sex} + - {column: E, row: 7754, expected_value: Self-employed, label: employment type} + - {column: J, row: 7754, expected_value: Value, label: measure} + - {column: L, row: 7755, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7756 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7756, expected_value: E12000007, label: geography} + - {column: D, row: 7756, expected_value: Females, label: sex} + - {column: E, row: 7756, expected_value: Self-employed, label: employment type} + - {column: J, row: 7756, expected_value: Value, label: measure} + - {column: L, row: 7757, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7760 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7760, expected_value: E12000007, label: geography} + - {column: D, row: 7760, expected_value: Females, label: sex} + - {column: E, row: 7760, expected_value: Self-employed, label: employment type} + - {column: J, row: 7760, expected_value: Value, label: measure} + - {column: L, row: 7761, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7762 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7762, expected_value: E12000007, label: geography} + - {column: D, row: 7762, expected_value: Females, label: sex} + - {column: E, row: 7762, expected_value: Self-employed, label: employment type} + - {column: J, row: 7762, expected_value: Value, label: measure} + - {column: L, row: 7763, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7764 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7764, expected_value: E12000007, label: geography} + - {column: D, row: 7764, expected_value: Females, label: sex} + - {column: E, row: 7764, expected_value: Self-employed, label: employment type} + - {column: J, row: 7764, expected_value: Value, label: measure} + - {column: L, row: 7765, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7766 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7766, expected_value: E12000007, label: geography} + - {column: D, row: 7766, expected_value: Females, label: sex} + - {column: E, row: 7766, expected_value: Self-employed, label: employment type} + - {column: J, row: 7766, expected_value: Value, label: measure} + - {column: L, row: 7767, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7768 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7768, expected_value: E12000007, label: geography} + - {column: D, row: 7768, expected_value: Females, label: sex} + - {column: E, row: 7768, expected_value: Self-employed, label: employment type} + - {column: J, row: 7768, expected_value: Value, label: measure} + - {column: L, row: 7769, expected_value: F, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7770 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7770, expected_value: E12000007, label: geography} + - {column: D, row: 7770, expected_value: Females, label: sex} + - {column: E, row: 7770, expected_value: Self-employed, label: employment type} + - {column: J, row: 7770, expected_value: Value, label: measure} + - {column: L, row: 7771, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7772 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7772, expected_value: E12000007, label: geography} + - {column: D, row: 7772, expected_value: Females, label: sex} + - {column: E, row: 7772, expected_value: Self-employed, label: employment type} + - {column: J, row: 7772, expected_value: Value, label: measure} + - {column: L, row: 7773, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7776 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7776, expected_value: E12000007, label: geography} + - {column: D, row: 7776, expected_value: Females, label: sex} + - {column: E, row: 7776, expected_value: Self-employed, label: employment type} + - {column: J, row: 7776, expected_value: Value, label: measure} + - {column: L, row: 7777, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000007.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7707 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7707, expected_value: E12000007, label: geography} + - {column: D, row: 7707, expected_value: Females, label: sex} + - {column: E, row: 7707, expected_value: Self-employed, label: employment type} + - {column: J, row: 7707, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7709 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7709, expected_value: E12000007, label: geography} + - {column: D, row: 7709, expected_value: Females, label: sex} + - {column: E, row: 7709, expected_value: Self-employed, label: employment type} + - {column: J, row: 7709, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7711 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7711, expected_value: E12000007, label: geography} + - {column: D, row: 7711, expected_value: Females, label: sex} + - {column: E, row: 7711, expected_value: Self-employed, label: employment type} + - {column: J, row: 7711, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7713 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7713, expected_value: E12000007, label: geography} + - {column: D, row: 7713, expected_value: Females, label: sex} + - {column: E, row: 7713, expected_value: Self-employed, label: employment type} + - {column: J, row: 7713, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7715 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7715, expected_value: E12000007, label: geography} + - {column: D, row: 7715, expected_value: Females, label: sex} + - {column: E, row: 7715, expected_value: Self-employed, label: employment type} + - {column: J, row: 7715, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7717 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7717, expected_value: E12000007, label: geography} + - {column: D, row: 7717, expected_value: Females, label: sex} + - {column: E, row: 7717, expected_value: Self-employed, label: employment type} + - {column: J, row: 7717, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7719 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7719, expected_value: E12000007, label: geography} + - {column: D, row: 7719, expected_value: Females, label: sex} + - {column: E, row: 7719, expected_value: Self-employed, label: employment type} + - {column: J, row: 7719, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7721 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7721, expected_value: E12000007, label: geography} + - {column: D, row: 7721, expected_value: Females, label: sex} + - {column: E, row: 7721, expected_value: Self-employed, label: employment type} + - {column: J, row: 7721, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7723 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7723, expected_value: E12000007, label: geography} + - {column: D, row: 7723, expected_value: Females, label: sex} + - {column: E, row: 7723, expected_value: Self-employed, label: employment type} + - {column: J, row: 7723, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7725 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7725, expected_value: E12000007, label: geography} + - {column: D, row: 7725, expected_value: Females, label: sex} + - {column: E, row: 7725, expected_value: Self-employed, label: employment type} + - {column: J, row: 7725, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7729 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7729, expected_value: E12000007, label: geography} + - {column: D, row: 7729, expected_value: Females, label: sex} + - {column: E, row: 7729, expected_value: Self-employed, label: employment type} + - {column: J, row: 7729, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7733 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7733, expected_value: E12000007, label: geography} + - {column: D, row: 7733, expected_value: Females, label: sex} + - {column: E, row: 7733, expected_value: Self-employed, label: employment type} + - {column: J, row: 7733, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7735 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7735, expected_value: E12000007, label: geography} + - {column: D, row: 7735, expected_value: Females, label: sex} + - {column: E, row: 7735, expected_value: Self-employed, label: employment type} + - {column: J, row: 7735, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7737 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7737, expected_value: E12000007, label: geography} + - {column: D, row: 7737, expected_value: Females, label: sex} + - {column: E, row: 7737, expected_value: Self-employed, label: employment type} + - {column: J, row: 7737, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7739 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7739, expected_value: E12000007, label: geography} + - {column: D, row: 7739, expected_value: Females, label: sex} + - {column: E, row: 7739, expected_value: Self-employed, label: employment type} + - {column: J, row: 7739, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7743 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7743, expected_value: E12000007, label: geography} + - {column: D, row: 7743, expected_value: Females, label: sex} + - {column: E, row: 7743, expected_value: Self-employed, label: employment type} + - {column: J, row: 7743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7753 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7753, expected_value: E12000007, label: geography} + - {column: D, row: 7753, expected_value: Females, label: sex} + - {column: E, row: 7753, expected_value: Self-employed, label: employment type} + - {column: J, row: 7753, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7755 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7755, expected_value: E12000007, label: geography} + - {column: D, row: 7755, expected_value: Females, label: sex} + - {column: E, row: 7755, expected_value: Self-employed, label: employment type} + - {column: J, row: 7755, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7757 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7757, expected_value: E12000007, label: geography} + - {column: D, row: 7757, expected_value: Females, label: sex} + - {column: E, row: 7757, expected_value: Self-employed, label: employment type} + - {column: J, row: 7757, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7761 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7761, expected_value: E12000007, label: geography} + - {column: D, row: 7761, expected_value: Females, label: sex} + - {column: E, row: 7761, expected_value: Self-employed, label: employment type} + - {column: J, row: 7761, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7763 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7763, expected_value: E12000007, label: geography} + - {column: D, row: 7763, expected_value: Females, label: sex} + - {column: E, row: 7763, expected_value: Self-employed, label: employment type} + - {column: J, row: 7763, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7773 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7773, expected_value: E12000007, label: geography} + - {column: D, row: 7773, expected_value: Females, label: sex} + - {column: E, row: 7773, expected_value: Self-employed, label: employment type} + - {column: J, row: 7773, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7777 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7777, expected_value: E12000007, label: geography} + - {column: D, row: 7777, expected_value: Females, label: sex} + - {column: E, row: 7777, expected_value: Self-employed, label: employment type} + - {column: J, row: 7777, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7778 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7778, expected_value: E12000008, label: geography} + - {column: D, row: 7778, expected_value: All persons, label: sex} + - {column: E, row: 7778, expected_value: Total, label: employment type} + - {column: J, row: 7778, expected_value: Value, label: measure} + - {column: L, row: 7779, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7780 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7780, expected_value: E12000008, label: geography} + - {column: D, row: 7780, expected_value: All persons, label: sex} + - {column: E, row: 7780, expected_value: Total, label: employment type} + - {column: J, row: 7780, expected_value: Value, label: measure} + - {column: L, row: 7781, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7782 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7782, expected_value: E12000008, label: geography} + - {column: D, row: 7782, expected_value: All persons, label: sex} + - {column: E, row: 7782, expected_value: Total, label: employment type} + - {column: J, row: 7782, expected_value: Value, label: measure} + - {column: L, row: 7783, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7784 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7784, expected_value: E12000008, label: geography} + - {column: D, row: 7784, expected_value: All persons, label: sex} + - {column: E, row: 7784, expected_value: Total, label: employment type} + - {column: J, row: 7784, expected_value: Value, label: measure} + - {column: L, row: 7785, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7786 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7786, expected_value: E12000008, label: geography} + - {column: D, row: 7786, expected_value: All persons, label: sex} + - {column: E, row: 7786, expected_value: Total, label: employment type} + - {column: J, row: 7786, expected_value: Value, label: measure} + - {column: L, row: 7787, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7788 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7788, expected_value: E12000008, label: geography} + - {column: D, row: 7788, expected_value: All persons, label: sex} + - {column: E, row: 7788, expected_value: Total, label: employment type} + - {column: J, row: 7788, expected_value: Value, label: measure} + - {column: L, row: 7789, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7790 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7790, expected_value: E12000008, label: geography} + - {column: D, row: 7790, expected_value: All persons, label: sex} + - {column: E, row: 7790, expected_value: Total, label: employment type} + - {column: J, row: 7790, expected_value: Value, label: measure} + - {column: L, row: 7791, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7792 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7792, expected_value: E12000008, label: geography} + - {column: D, row: 7792, expected_value: All persons, label: sex} + - {column: E, row: 7792, expected_value: Total, label: employment type} + - {column: J, row: 7792, expected_value: Value, label: measure} + - {column: L, row: 7793, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7794 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7794, expected_value: E12000008, label: geography} + - {column: D, row: 7794, expected_value: All persons, label: sex} + - {column: E, row: 7794, expected_value: Total, label: employment type} + - {column: J, row: 7794, expected_value: Value, label: measure} + - {column: L, row: 7795, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7796 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7796, expected_value: E12000008, label: geography} + - {column: D, row: 7796, expected_value: All persons, label: sex} + - {column: E, row: 7796, expected_value: Total, label: employment type} + - {column: J, row: 7796, expected_value: Value, label: measure} + - {column: L, row: 7797, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7798 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7798, expected_value: E12000008, label: geography} + - {column: D, row: 7798, expected_value: All persons, label: sex} + - {column: E, row: 7798, expected_value: Total, label: employment type} + - {column: J, row: 7798, expected_value: Value, label: measure} + - {column: L, row: 7799, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7800 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7800, expected_value: E12000008, label: geography} + - {column: D, row: 7800, expected_value: All persons, label: sex} + - {column: E, row: 7800, expected_value: Total, label: employment type} + - {column: J, row: 7800, expected_value: Value, label: measure} + - {column: L, row: 7801, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7802 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7802, expected_value: E12000008, label: geography} + - {column: D, row: 7802, expected_value: All persons, label: sex} + - {column: E, row: 7802, expected_value: Total, label: employment type} + - {column: J, row: 7802, expected_value: Value, label: measure} + - {column: L, row: 7803, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7804 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7804, expected_value: E12000008, label: geography} + - {column: D, row: 7804, expected_value: All persons, label: sex} + - {column: E, row: 7804, expected_value: Total, label: employment type} + - {column: J, row: 7804, expected_value: Value, label: measure} + - {column: L, row: 7805, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7806 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7806, expected_value: E12000008, label: geography} + - {column: D, row: 7806, expected_value: All persons, label: sex} + - {column: E, row: 7806, expected_value: Total, label: employment type} + - {column: J, row: 7806, expected_value: Value, label: measure} + - {column: L, row: 7807, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7808 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7808, expected_value: E12000008, label: geography} + - {column: D, row: 7808, expected_value: All persons, label: sex} + - {column: E, row: 7808, expected_value: Total, label: employment type} + - {column: J, row: 7808, expected_value: Value, label: measure} + - {column: L, row: 7809, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7810 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7810, expected_value: E12000008, label: geography} + - {column: D, row: 7810, expected_value: All persons, label: sex} + - {column: E, row: 7810, expected_value: Total, label: employment type} + - {column: J, row: 7810, expected_value: Value, label: measure} + - {column: L, row: 7811, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7812 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7812, expected_value: E12000008, label: geography} + - {column: D, row: 7812, expected_value: All persons, label: sex} + - {column: E, row: 7812, expected_value: Total, label: employment type} + - {column: J, row: 7812, expected_value: Value, label: measure} + - {column: L, row: 7813, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7814 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7814, expected_value: E12000008, label: geography} + - {column: D, row: 7814, expected_value: All persons, label: sex} + - {column: E, row: 7814, expected_value: Total, label: employment type} + - {column: J, row: 7814, expected_value: Value, label: measure} + - {column: L, row: 7815, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7816 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7816, expected_value: E12000008, label: geography} + - {column: D, row: 7816, expected_value: All persons, label: sex} + - {column: E, row: 7816, expected_value: Total, label: employment type} + - {column: J, row: 7816, expected_value: Value, label: measure} + - {column: L, row: 7817, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7818 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7818, expected_value: E12000008, label: geography} + - {column: D, row: 7818, expected_value: All persons, label: sex} + - {column: E, row: 7818, expected_value: Total, label: employment type} + - {column: J, row: 7818, expected_value: Value, label: measure} + - {column: L, row: 7819, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7820 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7820, expected_value: E12000008, label: geography} + - {column: D, row: 7820, expected_value: All persons, label: sex} + - {column: E, row: 7820, expected_value: Total, label: employment type} + - {column: J, row: 7820, expected_value: Value, label: measure} + - {column: L, row: 7821, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7822 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7822, expected_value: E12000008, label: geography} + - {column: D, row: 7822, expected_value: All persons, label: sex} + - {column: E, row: 7822, expected_value: Total, label: employment type} + - {column: J, row: 7822, expected_value: Value, label: measure} + - {column: L, row: 7823, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7824 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7824, expected_value: E12000008, label: geography} + - {column: D, row: 7824, expected_value: All persons, label: sex} + - {column: E, row: 7824, expected_value: Total, label: employment type} + - {column: J, row: 7824, expected_value: Value, label: measure} + - {column: L, row: 7825, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7826 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7826, expected_value: E12000008, label: geography} + - {column: D, row: 7826, expected_value: All persons, label: sex} + - {column: E, row: 7826, expected_value: Total, label: employment type} + - {column: J, row: 7826, expected_value: Value, label: measure} + - {column: L, row: 7827, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7828 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7828, expected_value: E12000008, label: geography} + - {column: D, row: 7828, expected_value: All persons, label: sex} + - {column: E, row: 7828, expected_value: Total, label: employment type} + - {column: J, row: 7828, expected_value: Value, label: measure} + - {column: L, row: 7829, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7830 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7830, expected_value: E12000008, label: geography} + - {column: D, row: 7830, expected_value: All persons, label: sex} + - {column: E, row: 7830, expected_value: Total, label: employment type} + - {column: J, row: 7830, expected_value: Value, label: measure} + - {column: L, row: 7831, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7832 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7832, expected_value: E12000008, label: geography} + - {column: D, row: 7832, expected_value: All persons, label: sex} + - {column: E, row: 7832, expected_value: Total, label: employment type} + - {column: J, row: 7832, expected_value: Value, label: measure} + - {column: L, row: 7833, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7834 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7834, expected_value: E12000008, label: geography} + - {column: D, row: 7834, expected_value: All persons, label: sex} + - {column: E, row: 7834, expected_value: Total, label: employment type} + - {column: J, row: 7834, expected_value: Value, label: measure} + - {column: L, row: 7835, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7836 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7836, expected_value: E12000008, label: geography} + - {column: D, row: 7836, expected_value: All persons, label: sex} + - {column: E, row: 7836, expected_value: Total, label: employment type} + - {column: J, row: 7836, expected_value: Value, label: measure} + - {column: L, row: 7837, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7838 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7838, expected_value: E12000008, label: geography} + - {column: D, row: 7838, expected_value: All persons, label: sex} + - {column: E, row: 7838, expected_value: Total, label: employment type} + - {column: J, row: 7838, expected_value: Value, label: measure} + - {column: L, row: 7839, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7840 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7840, expected_value: E12000008, label: geography} + - {column: D, row: 7840, expected_value: All persons, label: sex} + - {column: E, row: 7840, expected_value: Total, label: employment type} + - {column: J, row: 7840, expected_value: Value, label: measure} + - {column: L, row: 7841, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7842 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7842, expected_value: E12000008, label: geography} + - {column: D, row: 7842, expected_value: All persons, label: sex} + - {column: E, row: 7842, expected_value: Total, label: employment type} + - {column: J, row: 7842, expected_value: Value, label: measure} + - {column: L, row: 7843, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7844 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7844, expected_value: E12000008, label: geography} + - {column: D, row: 7844, expected_value: All persons, label: sex} + - {column: E, row: 7844, expected_value: Total, label: employment type} + - {column: J, row: 7844, expected_value: Value, label: measure} + - {column: L, row: 7845, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7846 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7846, expected_value: E12000008, label: geography} + - {column: D, row: 7846, expected_value: All persons, label: sex} + - {column: E, row: 7846, expected_value: Total, label: employment type} + - {column: J, row: 7846, expected_value: Value, label: measure} + - {column: L, row: 7847, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7848 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7848, expected_value: E12000008, label: geography} + - {column: D, row: 7848, expected_value: All persons, label: sex} + - {column: E, row: 7848, expected_value: Total, label: employment type} + - {column: J, row: 7848, expected_value: Value, label: measure} + - {column: L, row: 7849, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7779 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7779, expected_value: E12000008, label: geography} + - {column: D, row: 7779, expected_value: All persons, label: sex} + - {column: E, row: 7779, expected_value: Total, label: employment type} + - {column: J, row: 7779, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7781 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7781, expected_value: E12000008, label: geography} + - {column: D, row: 7781, expected_value: All persons, label: sex} + - {column: E, row: 7781, expected_value: Total, label: employment type} + - {column: J, row: 7781, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7783 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7783, expected_value: E12000008, label: geography} + - {column: D, row: 7783, expected_value: All persons, label: sex} + - {column: E, row: 7783, expected_value: Total, label: employment type} + - {column: J, row: 7783, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7785 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7785, expected_value: E12000008, label: geography} + - {column: D, row: 7785, expected_value: All persons, label: sex} + - {column: E, row: 7785, expected_value: Total, label: employment type} + - {column: J, row: 7785, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7787 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7787, expected_value: E12000008, label: geography} + - {column: D, row: 7787, expected_value: All persons, label: sex} + - {column: E, row: 7787, expected_value: Total, label: employment type} + - {column: J, row: 7787, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7789 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7789, expected_value: E12000008, label: geography} + - {column: D, row: 7789, expected_value: All persons, label: sex} + - {column: E, row: 7789, expected_value: Total, label: employment type} + - {column: J, row: 7789, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7791 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7791, expected_value: E12000008, label: geography} + - {column: D, row: 7791, expected_value: All persons, label: sex} + - {column: E, row: 7791, expected_value: Total, label: employment type} + - {column: J, row: 7791, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7793 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7793, expected_value: E12000008, label: geography} + - {column: D, row: 7793, expected_value: All persons, label: sex} + - {column: E, row: 7793, expected_value: Total, label: employment type} + - {column: J, row: 7793, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7795 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7795, expected_value: E12000008, label: geography} + - {column: D, row: 7795, expected_value: All persons, label: sex} + - {column: E, row: 7795, expected_value: Total, label: employment type} + - {column: J, row: 7795, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7797 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7797, expected_value: E12000008, label: geography} + - {column: D, row: 7797, expected_value: All persons, label: sex} + - {column: E, row: 7797, expected_value: Total, label: employment type} + - {column: J, row: 7797, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7799 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7799, expected_value: E12000008, label: geography} + - {column: D, row: 7799, expected_value: All persons, label: sex} + - {column: E, row: 7799, expected_value: Total, label: employment type} + - {column: J, row: 7799, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7801 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7801, expected_value: E12000008, label: geography} + - {column: D, row: 7801, expected_value: All persons, label: sex} + - {column: E, row: 7801, expected_value: Total, label: employment type} + - {column: J, row: 7801, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7803 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7803, expected_value: E12000008, label: geography} + - {column: D, row: 7803, expected_value: All persons, label: sex} + - {column: E, row: 7803, expected_value: Total, label: employment type} + - {column: J, row: 7803, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7805 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7805, expected_value: E12000008, label: geography} + - {column: D, row: 7805, expected_value: All persons, label: sex} + - {column: E, row: 7805, expected_value: Total, label: employment type} + - {column: J, row: 7805, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7807 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7807, expected_value: E12000008, label: geography} + - {column: D, row: 7807, expected_value: All persons, label: sex} + - {column: E, row: 7807, expected_value: Total, label: employment type} + - {column: J, row: 7807, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7809 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7809, expected_value: E12000008, label: geography} + - {column: D, row: 7809, expected_value: All persons, label: sex} + - {column: E, row: 7809, expected_value: Total, label: employment type} + - {column: J, row: 7809, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7811 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7811, expected_value: E12000008, label: geography} + - {column: D, row: 7811, expected_value: All persons, label: sex} + - {column: E, row: 7811, expected_value: Total, label: employment type} + - {column: J, row: 7811, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7813 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7813, expected_value: E12000008, label: geography} + - {column: D, row: 7813, expected_value: All persons, label: sex} + - {column: E, row: 7813, expected_value: Total, label: employment type} + - {column: J, row: 7813, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7815 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7815, expected_value: E12000008, label: geography} + - {column: D, row: 7815, expected_value: All persons, label: sex} + - {column: E, row: 7815, expected_value: Total, label: employment type} + - {column: J, row: 7815, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7817 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7817, expected_value: E12000008, label: geography} + - {column: D, row: 7817, expected_value: All persons, label: sex} + - {column: E, row: 7817, expected_value: Total, label: employment type} + - {column: J, row: 7817, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7819 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7819, expected_value: E12000008, label: geography} + - {column: D, row: 7819, expected_value: All persons, label: sex} + - {column: E, row: 7819, expected_value: Total, label: employment type} + - {column: J, row: 7819, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7821 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7821, expected_value: E12000008, label: geography} + - {column: D, row: 7821, expected_value: All persons, label: sex} + - {column: E, row: 7821, expected_value: Total, label: employment type} + - {column: J, row: 7821, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7823 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7823, expected_value: E12000008, label: geography} + - {column: D, row: 7823, expected_value: All persons, label: sex} + - {column: E, row: 7823, expected_value: Total, label: employment type} + - {column: J, row: 7823, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7825 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7825, expected_value: E12000008, label: geography} + - {column: D, row: 7825, expected_value: All persons, label: sex} + - {column: E, row: 7825, expected_value: Total, label: employment type} + - {column: J, row: 7825, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7827 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7827, expected_value: E12000008, label: geography} + - {column: D, row: 7827, expected_value: All persons, label: sex} + - {column: E, row: 7827, expected_value: Total, label: employment type} + - {column: J, row: 7827, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7829 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7829, expected_value: E12000008, label: geography} + - {column: D, row: 7829, expected_value: All persons, label: sex} + - {column: E, row: 7829, expected_value: Total, label: employment type} + - {column: J, row: 7829, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7833 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7833, expected_value: E12000008, label: geography} + - {column: D, row: 7833, expected_value: All persons, label: sex} + - {column: E, row: 7833, expected_value: Total, label: employment type} + - {column: J, row: 7833, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7835 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7835, expected_value: E12000008, label: geography} + - {column: D, row: 7835, expected_value: All persons, label: sex} + - {column: E, row: 7835, expected_value: Total, label: employment type} + - {column: J, row: 7835, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7837 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7837, expected_value: E12000008, label: geography} + - {column: D, row: 7837, expected_value: All persons, label: sex} + - {column: E, row: 7837, expected_value: Total, label: employment type} + - {column: J, row: 7837, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7839 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7839, expected_value: E12000008, label: geography} + - {column: D, row: 7839, expected_value: All persons, label: sex} + - {column: E, row: 7839, expected_value: Total, label: employment type} + - {column: J, row: 7839, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7841 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7841, expected_value: E12000008, label: geography} + - {column: D, row: 7841, expected_value: All persons, label: sex} + - {column: E, row: 7841, expected_value: Total, label: employment type} + - {column: J, row: 7841, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7843 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7843, expected_value: E12000008, label: geography} + - {column: D, row: 7843, expected_value: All persons, label: sex} + - {column: E, row: 7843, expected_value: Total, label: employment type} + - {column: J, row: 7843, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7845 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7845, expected_value: E12000008, label: geography} + - {column: D, row: 7845, expected_value: All persons, label: sex} + - {column: E, row: 7845, expected_value: Total, label: employment type} + - {column: J, row: 7845, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7847 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7847, expected_value: E12000008, label: geography} + - {column: D, row: 7847, expected_value: All persons, label: sex} + - {column: E, row: 7847, expected_value: Total, label: employment type} + - {column: J, row: 7847, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7849 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7849, expected_value: E12000008, label: geography} + - {column: D, row: 7849, expected_value: All persons, label: sex} + - {column: E, row: 7849, expected_value: Total, label: employment type} + - {column: J, row: 7849, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7994 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7994, expected_value: E12000008, label: geography} + - {column: D, row: 7994, expected_value: All persons, label: sex} + - {column: E, row: 7994, expected_value: Employee, label: employment type} + - {column: J, row: 7994, expected_value: Value, label: measure} + - {column: L, row: 7995, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7996 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7996, expected_value: E12000008, label: geography} + - {column: D, row: 7996, expected_value: All persons, label: sex} + - {column: E, row: 7996, expected_value: Employee, label: employment type} + - {column: J, row: 7996, expected_value: Value, label: measure} + - {column: L, row: 7997, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7998 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7998, expected_value: E12000008, label: geography} + - {column: D, row: 7998, expected_value: All persons, label: sex} + - {column: E, row: 7998, expected_value: Employee, label: employment type} + - {column: J, row: 7998, expected_value: Value, label: measure} + - {column: L, row: 7999, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8000 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8000, expected_value: E12000008, label: geography} + - {column: D, row: 8000, expected_value: All persons, label: sex} + - {column: E, row: 8000, expected_value: Employee, label: employment type} + - {column: J, row: 8000, expected_value: Value, label: measure} + - {column: L, row: 8001, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8002 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8002, expected_value: E12000008, label: geography} + - {column: D, row: 8002, expected_value: All persons, label: sex} + - {column: E, row: 8002, expected_value: Employee, label: employment type} + - {column: J, row: 8002, expected_value: Value, label: measure} + - {column: L, row: 8003, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8004 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8004, expected_value: E12000008, label: geography} + - {column: D, row: 8004, expected_value: All persons, label: sex} + - {column: E, row: 8004, expected_value: Employee, label: employment type} + - {column: J, row: 8004, expected_value: Value, label: measure} + - {column: L, row: 8005, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8006 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8006, expected_value: E12000008, label: geography} + - {column: D, row: 8006, expected_value: All persons, label: sex} + - {column: E, row: 8006, expected_value: Employee, label: employment type} + - {column: J, row: 8006, expected_value: Value, label: measure} + - {column: L, row: 8007, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8008 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8008, expected_value: E12000008, label: geography} + - {column: D, row: 8008, expected_value: All persons, label: sex} + - {column: E, row: 8008, expected_value: Employee, label: employment type} + - {column: J, row: 8008, expected_value: Value, label: measure} + - {column: L, row: 8009, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8010 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8010, expected_value: E12000008, label: geography} + - {column: D, row: 8010, expected_value: All persons, label: sex} + - {column: E, row: 8010, expected_value: Employee, label: employment type} + - {column: J, row: 8010, expected_value: Value, label: measure} + - {column: L, row: 8011, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8012 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8012, expected_value: E12000008, label: geography} + - {column: D, row: 8012, expected_value: All persons, label: sex} + - {column: E, row: 8012, expected_value: Employee, label: employment type} + - {column: J, row: 8012, expected_value: Value, label: measure} + - {column: L, row: 8013, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8014 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8014, expected_value: E12000008, label: geography} + - {column: D, row: 8014, expected_value: All persons, label: sex} + - {column: E, row: 8014, expected_value: Employee, label: employment type} + - {column: J, row: 8014, expected_value: Value, label: measure} + - {column: L, row: 8015, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8016 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8016, expected_value: E12000008, label: geography} + - {column: D, row: 8016, expected_value: All persons, label: sex} + - {column: E, row: 8016, expected_value: Employee, label: employment type} + - {column: J, row: 8016, expected_value: Value, label: measure} + - {column: L, row: 8017, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8018 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8018, expected_value: E12000008, label: geography} + - {column: D, row: 8018, expected_value: All persons, label: sex} + - {column: E, row: 8018, expected_value: Employee, label: employment type} + - {column: J, row: 8018, expected_value: Value, label: measure} + - {column: L, row: 8019, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8020 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8020, expected_value: E12000008, label: geography} + - {column: D, row: 8020, expected_value: All persons, label: sex} + - {column: E, row: 8020, expected_value: Employee, label: employment type} + - {column: J, row: 8020, expected_value: Value, label: measure} + - {column: L, row: 8021, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8022 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8022, expected_value: E12000008, label: geography} + - {column: D, row: 8022, expected_value: All persons, label: sex} + - {column: E, row: 8022, expected_value: Employee, label: employment type} + - {column: J, row: 8022, expected_value: Value, label: measure} + - {column: L, row: 8023, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8024 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8024, expected_value: E12000008, label: geography} + - {column: D, row: 8024, expected_value: All persons, label: sex} + - {column: E, row: 8024, expected_value: Employee, label: employment type} + - {column: J, row: 8024, expected_value: Value, label: measure} + - {column: L, row: 8025, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8026 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8026, expected_value: E12000008, label: geography} + - {column: D, row: 8026, expected_value: All persons, label: sex} + - {column: E, row: 8026, expected_value: Employee, label: employment type} + - {column: J, row: 8026, expected_value: Value, label: measure} + - {column: L, row: 8027, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8028 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8028, expected_value: E12000008, label: geography} + - {column: D, row: 8028, expected_value: All persons, label: sex} + - {column: E, row: 8028, expected_value: Employee, label: employment type} + - {column: J, row: 8028, expected_value: Value, label: measure} + - {column: L, row: 8029, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8030 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8030, expected_value: E12000008, label: geography} + - {column: D, row: 8030, expected_value: All persons, label: sex} + - {column: E, row: 8030, expected_value: Employee, label: employment type} + - {column: J, row: 8030, expected_value: Value, label: measure} + - {column: L, row: 8031, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8032 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8032, expected_value: E12000008, label: geography} + - {column: D, row: 8032, expected_value: All persons, label: sex} + - {column: E, row: 8032, expected_value: Employee, label: employment type} + - {column: J, row: 8032, expected_value: Value, label: measure} + - {column: L, row: 8033, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8034 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8034, expected_value: E12000008, label: geography} + - {column: D, row: 8034, expected_value: All persons, label: sex} + - {column: E, row: 8034, expected_value: Employee, label: employment type} + - {column: J, row: 8034, expected_value: Value, label: measure} + - {column: L, row: 8035, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8036 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8036, expected_value: E12000008, label: geography} + - {column: D, row: 8036, expected_value: All persons, label: sex} + - {column: E, row: 8036, expected_value: Employee, label: employment type} + - {column: J, row: 8036, expected_value: Value, label: measure} + - {column: L, row: 8037, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8038 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8038, expected_value: E12000008, label: geography} + - {column: D, row: 8038, expected_value: All persons, label: sex} + - {column: E, row: 8038, expected_value: Employee, label: employment type} + - {column: J, row: 8038, expected_value: Value, label: measure} + - {column: L, row: 8039, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8040 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8040, expected_value: E12000008, label: geography} + - {column: D, row: 8040, expected_value: All persons, label: sex} + - {column: E, row: 8040, expected_value: Employee, label: employment type} + - {column: J, row: 8040, expected_value: Value, label: measure} + - {column: L, row: 8041, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8042 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8042, expected_value: E12000008, label: geography} + - {column: D, row: 8042, expected_value: All persons, label: sex} + - {column: E, row: 8042, expected_value: Employee, label: employment type} + - {column: J, row: 8042, expected_value: Value, label: measure} + - {column: L, row: 8043, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8044 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8044, expected_value: E12000008, label: geography} + - {column: D, row: 8044, expected_value: All persons, label: sex} + - {column: E, row: 8044, expected_value: Employee, label: employment type} + - {column: J, row: 8044, expected_value: Value, label: measure} + - {column: L, row: 8045, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8046 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8046, expected_value: E12000008, label: geography} + - {column: D, row: 8046, expected_value: All persons, label: sex} + - {column: E, row: 8046, expected_value: Employee, label: employment type} + - {column: J, row: 8046, expected_value: Value, label: measure} + - {column: L, row: 8047, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8048 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8048, expected_value: E12000008, label: geography} + - {column: D, row: 8048, expected_value: All persons, label: sex} + - {column: E, row: 8048, expected_value: Employee, label: employment type} + - {column: J, row: 8048, expected_value: Value, label: measure} + - {column: L, row: 8049, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8050 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8050, expected_value: E12000008, label: geography} + - {column: D, row: 8050, expected_value: All persons, label: sex} + - {column: E, row: 8050, expected_value: Employee, label: employment type} + - {column: J, row: 8050, expected_value: Value, label: measure} + - {column: L, row: 8051, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8052 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8052, expected_value: E12000008, label: geography} + - {column: D, row: 8052, expected_value: All persons, label: sex} + - {column: E, row: 8052, expected_value: Employee, label: employment type} + - {column: J, row: 8052, expected_value: Value, label: measure} + - {column: L, row: 8053, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8054 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8054, expected_value: E12000008, label: geography} + - {column: D, row: 8054, expected_value: All persons, label: sex} + - {column: E, row: 8054, expected_value: Employee, label: employment type} + - {column: J, row: 8054, expected_value: Value, label: measure} + - {column: L, row: 8055, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8056 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8056, expected_value: E12000008, label: geography} + - {column: D, row: 8056, expected_value: All persons, label: sex} + - {column: E, row: 8056, expected_value: Employee, label: employment type} + - {column: J, row: 8056, expected_value: Value, label: measure} + - {column: L, row: 8057, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8058 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8058, expected_value: E12000008, label: geography} + - {column: D, row: 8058, expected_value: All persons, label: sex} + - {column: E, row: 8058, expected_value: Employee, label: employment type} + - {column: J, row: 8058, expected_value: Value, label: measure} + - {column: L, row: 8059, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8060 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8060, expected_value: E12000008, label: geography} + - {column: D, row: 8060, expected_value: All persons, label: sex} + - {column: E, row: 8060, expected_value: Employee, label: employment type} + - {column: J, row: 8060, expected_value: Value, label: measure} + - {column: L, row: 8061, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8062 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8062, expected_value: E12000008, label: geography} + - {column: D, row: 8062, expected_value: All persons, label: sex} + - {column: E, row: 8062, expected_value: Employee, label: employment type} + - {column: J, row: 8062, expected_value: Value, label: measure} + - {column: L, row: 8063, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8064 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8064, expected_value: E12000008, label: geography} + - {column: D, row: 8064, expected_value: All persons, label: sex} + - {column: E, row: 8064, expected_value: Employee, label: employment type} + - {column: J, row: 8064, expected_value: Value, label: measure} + - {column: L, row: 8065, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7995 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7995, expected_value: E12000008, label: geography} + - {column: D, row: 7995, expected_value: All persons, label: sex} + - {column: E, row: 7995, expected_value: Employee, label: employment type} + - {column: J, row: 7995, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7997 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7997, expected_value: E12000008, label: geography} + - {column: D, row: 7997, expected_value: All persons, label: sex} + - {column: E, row: 7997, expected_value: Employee, label: employment type} + - {column: J, row: 7997, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7999 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7999, expected_value: E12000008, label: geography} + - {column: D, row: 7999, expected_value: All persons, label: sex} + - {column: E, row: 7999, expected_value: Employee, label: employment type} + - {column: J, row: 7999, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8001 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8001, expected_value: E12000008, label: geography} + - {column: D, row: 8001, expected_value: All persons, label: sex} + - {column: E, row: 8001, expected_value: Employee, label: employment type} + - {column: J, row: 8001, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8003 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8003, expected_value: E12000008, label: geography} + - {column: D, row: 8003, expected_value: All persons, label: sex} + - {column: E, row: 8003, expected_value: Employee, label: employment type} + - {column: J, row: 8003, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8005 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8005, expected_value: E12000008, label: geography} + - {column: D, row: 8005, expected_value: All persons, label: sex} + - {column: E, row: 8005, expected_value: Employee, label: employment type} + - {column: J, row: 8005, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8007 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8007, expected_value: E12000008, label: geography} + - {column: D, row: 8007, expected_value: All persons, label: sex} + - {column: E, row: 8007, expected_value: Employee, label: employment type} + - {column: J, row: 8007, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8009 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8009, expected_value: E12000008, label: geography} + - {column: D, row: 8009, expected_value: All persons, label: sex} + - {column: E, row: 8009, expected_value: Employee, label: employment type} + - {column: J, row: 8009, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8011 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8011, expected_value: E12000008, label: geography} + - {column: D, row: 8011, expected_value: All persons, label: sex} + - {column: E, row: 8011, expected_value: Employee, label: employment type} + - {column: J, row: 8011, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8013 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8013, expected_value: E12000008, label: geography} + - {column: D, row: 8013, expected_value: All persons, label: sex} + - {column: E, row: 8013, expected_value: Employee, label: employment type} + - {column: J, row: 8013, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8015 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8015, expected_value: E12000008, label: geography} + - {column: D, row: 8015, expected_value: All persons, label: sex} + - {column: E, row: 8015, expected_value: Employee, label: employment type} + - {column: J, row: 8015, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8017 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8017, expected_value: E12000008, label: geography} + - {column: D, row: 8017, expected_value: All persons, label: sex} + - {column: E, row: 8017, expected_value: Employee, label: employment type} + - {column: J, row: 8017, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8019 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8019, expected_value: E12000008, label: geography} + - {column: D, row: 8019, expected_value: All persons, label: sex} + - {column: E, row: 8019, expected_value: Employee, label: employment type} + - {column: J, row: 8019, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8021 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8021, expected_value: E12000008, label: geography} + - {column: D, row: 8021, expected_value: All persons, label: sex} + - {column: E, row: 8021, expected_value: Employee, label: employment type} + - {column: J, row: 8021, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8023 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8023, expected_value: E12000008, label: geography} + - {column: D, row: 8023, expected_value: All persons, label: sex} + - {column: E, row: 8023, expected_value: Employee, label: employment type} + - {column: J, row: 8023, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8025 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8025, expected_value: E12000008, label: geography} + - {column: D, row: 8025, expected_value: All persons, label: sex} + - {column: E, row: 8025, expected_value: Employee, label: employment type} + - {column: J, row: 8025, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8027 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8027, expected_value: E12000008, label: geography} + - {column: D, row: 8027, expected_value: All persons, label: sex} + - {column: E, row: 8027, expected_value: Employee, label: employment type} + - {column: J, row: 8027, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8029 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8029, expected_value: E12000008, label: geography} + - {column: D, row: 8029, expected_value: All persons, label: sex} + - {column: E, row: 8029, expected_value: Employee, label: employment type} + - {column: J, row: 8029, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8031 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8031, expected_value: E12000008, label: geography} + - {column: D, row: 8031, expected_value: All persons, label: sex} + - {column: E, row: 8031, expected_value: Employee, label: employment type} + - {column: J, row: 8031, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8033 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8033, expected_value: E12000008, label: geography} + - {column: D, row: 8033, expected_value: All persons, label: sex} + - {column: E, row: 8033, expected_value: Employee, label: employment type} + - {column: J, row: 8033, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8035 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8035, expected_value: E12000008, label: geography} + - {column: D, row: 8035, expected_value: All persons, label: sex} + - {column: E, row: 8035, expected_value: Employee, label: employment type} + - {column: J, row: 8035, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8037 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8037, expected_value: E12000008, label: geography} + - {column: D, row: 8037, expected_value: All persons, label: sex} + - {column: E, row: 8037, expected_value: Employee, label: employment type} + - {column: J, row: 8037, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8039 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8039, expected_value: E12000008, label: geography} + - {column: D, row: 8039, expected_value: All persons, label: sex} + - {column: E, row: 8039, expected_value: Employee, label: employment type} + - {column: J, row: 8039, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8041 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8041, expected_value: E12000008, label: geography} + - {column: D, row: 8041, expected_value: All persons, label: sex} + - {column: E, row: 8041, expected_value: Employee, label: employment type} + - {column: J, row: 8041, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8043 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8043, expected_value: E12000008, label: geography} + - {column: D, row: 8043, expected_value: All persons, label: sex} + - {column: E, row: 8043, expected_value: Employee, label: employment type} + - {column: J, row: 8043, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8045 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8045, expected_value: E12000008, label: geography} + - {column: D, row: 8045, expected_value: All persons, label: sex} + - {column: E, row: 8045, expected_value: Employee, label: employment type} + - {column: J, row: 8045, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8049 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8049, expected_value: E12000008, label: geography} + - {column: D, row: 8049, expected_value: All persons, label: sex} + - {column: E, row: 8049, expected_value: Employee, label: employment type} + - {column: J, row: 8049, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8051 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8051, expected_value: E12000008, label: geography} + - {column: D, row: 8051, expected_value: All persons, label: sex} + - {column: E, row: 8051, expected_value: Employee, label: employment type} + - {column: J, row: 8051, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8053 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8053, expected_value: E12000008, label: geography} + - {column: D, row: 8053, expected_value: All persons, label: sex} + - {column: E, row: 8053, expected_value: Employee, label: employment type} + - {column: J, row: 8053, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8055 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8055, expected_value: E12000008, label: geography} + - {column: D, row: 8055, expected_value: All persons, label: sex} + - {column: E, row: 8055, expected_value: Employee, label: employment type} + - {column: J, row: 8055, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8057 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8057, expected_value: E12000008, label: geography} + - {column: D, row: 8057, expected_value: All persons, label: sex} + - {column: E, row: 8057, expected_value: Employee, label: employment type} + - {column: J, row: 8057, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8059 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8059, expected_value: E12000008, label: geography} + - {column: D, row: 8059, expected_value: All persons, label: sex} + - {column: E, row: 8059, expected_value: Employee, label: employment type} + - {column: J, row: 8059, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8061 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8061, expected_value: E12000008, label: geography} + - {column: D, row: 8061, expected_value: All persons, label: sex} + - {column: E, row: 8061, expected_value: Employee, label: employment type} + - {column: J, row: 8061, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8063 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8063, expected_value: E12000008, label: geography} + - {column: D, row: 8063, expected_value: All persons, label: sex} + - {column: E, row: 8063, expected_value: Employee, label: employment type} + - {column: J, row: 8063, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8065 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8065, expected_value: E12000008, label: geography} + - {column: D, row: 8065, expected_value: All persons, label: sex} + - {column: E, row: 8065, expected_value: Employee, label: employment type} + - {column: J, row: 8065, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8210 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8210, expected_value: E12000008, label: geography} + - {column: D, row: 8210, expected_value: All persons, label: sex} + - {column: E, row: 8210, expected_value: Self-employed, label: employment type} + - {column: J, row: 8210, expected_value: Value, label: measure} + - {column: L, row: 8211, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8212 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8212, expected_value: E12000008, label: geography} + - {column: D, row: 8212, expected_value: All persons, label: sex} + - {column: E, row: 8212, expected_value: Self-employed, label: employment type} + - {column: J, row: 8212, expected_value: Value, label: measure} + - {column: L, row: 8213, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8214 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8214, expected_value: E12000008, label: geography} + - {column: D, row: 8214, expected_value: All persons, label: sex} + - {column: E, row: 8214, expected_value: Self-employed, label: employment type} + - {column: J, row: 8214, expected_value: Value, label: measure} + - {column: L, row: 8215, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8216 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8216, expected_value: E12000008, label: geography} + - {column: D, row: 8216, expected_value: All persons, label: sex} + - {column: E, row: 8216, expected_value: Self-employed, label: employment type} + - {column: J, row: 8216, expected_value: Value, label: measure} + - {column: L, row: 8217, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8218 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8218, expected_value: E12000008, label: geography} + - {column: D, row: 8218, expected_value: All persons, label: sex} + - {column: E, row: 8218, expected_value: Self-employed, label: employment type} + - {column: J, row: 8218, expected_value: Value, label: measure} + - {column: L, row: 8219, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8220 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8220, expected_value: E12000008, label: geography} + - {column: D, row: 8220, expected_value: All persons, label: sex} + - {column: E, row: 8220, expected_value: Self-employed, label: employment type} + - {column: J, row: 8220, expected_value: Value, label: measure} + - {column: L, row: 8221, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8222 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8222, expected_value: E12000008, label: geography} + - {column: D, row: 8222, expected_value: All persons, label: sex} + - {column: E, row: 8222, expected_value: Self-employed, label: employment type} + - {column: J, row: 8222, expected_value: Value, label: measure} + - {column: L, row: 8223, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8224 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8224, expected_value: E12000008, label: geography} + - {column: D, row: 8224, expected_value: All persons, label: sex} + - {column: E, row: 8224, expected_value: Self-employed, label: employment type} + - {column: J, row: 8224, expected_value: Value, label: measure} + - {column: L, row: 8225, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8226 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8226, expected_value: E12000008, label: geography} + - {column: D, row: 8226, expected_value: All persons, label: sex} + - {column: E, row: 8226, expected_value: Self-employed, label: employment type} + - {column: J, row: 8226, expected_value: Value, label: measure} + - {column: L, row: 8227, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8228 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8228, expected_value: E12000008, label: geography} + - {column: D, row: 8228, expected_value: All persons, label: sex} + - {column: E, row: 8228, expected_value: Self-employed, label: employment type} + - {column: J, row: 8228, expected_value: Value, label: measure} + - {column: L, row: 8229, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8230 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8230, expected_value: E12000008, label: geography} + - {column: D, row: 8230, expected_value: All persons, label: sex} + - {column: E, row: 8230, expected_value: Self-employed, label: employment type} + - {column: J, row: 8230, expected_value: Value, label: measure} + - {column: L, row: 8231, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8232 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8232, expected_value: E12000008, label: geography} + - {column: D, row: 8232, expected_value: All persons, label: sex} + - {column: E, row: 8232, expected_value: Self-employed, label: employment type} + - {column: J, row: 8232, expected_value: Value, label: measure} + - {column: L, row: 8233, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8234 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8234, expected_value: E12000008, label: geography} + - {column: D, row: 8234, expected_value: All persons, label: sex} + - {column: E, row: 8234, expected_value: Self-employed, label: employment type} + - {column: J, row: 8234, expected_value: Value, label: measure} + - {column: L, row: 8235, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8236 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8236, expected_value: E12000008, label: geography} + - {column: D, row: 8236, expected_value: All persons, label: sex} + - {column: E, row: 8236, expected_value: Self-employed, label: employment type} + - {column: J, row: 8236, expected_value: Value, label: measure} + - {column: L, row: 8237, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8238 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8238, expected_value: E12000008, label: geography} + - {column: D, row: 8238, expected_value: All persons, label: sex} + - {column: E, row: 8238, expected_value: Self-employed, label: employment type} + - {column: J, row: 8238, expected_value: Value, label: measure} + - {column: L, row: 8239, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8240 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8240, expected_value: E12000008, label: geography} + - {column: D, row: 8240, expected_value: All persons, label: sex} + - {column: E, row: 8240, expected_value: Self-employed, label: employment type} + - {column: J, row: 8240, expected_value: Value, label: measure} + - {column: L, row: 8241, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8242 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8242, expected_value: E12000008, label: geography} + - {column: D, row: 8242, expected_value: All persons, label: sex} + - {column: E, row: 8242, expected_value: Self-employed, label: employment type} + - {column: J, row: 8242, expected_value: Value, label: measure} + - {column: L, row: 8243, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8244 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8244, expected_value: E12000008, label: geography} + - {column: D, row: 8244, expected_value: All persons, label: sex} + - {column: E, row: 8244, expected_value: Self-employed, label: employment type} + - {column: J, row: 8244, expected_value: Value, label: measure} + - {column: L, row: 8245, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8246 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8246, expected_value: E12000008, label: geography} + - {column: D, row: 8246, expected_value: All persons, label: sex} + - {column: E, row: 8246, expected_value: Self-employed, label: employment type} + - {column: J, row: 8246, expected_value: Value, label: measure} + - {column: L, row: 8247, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8248 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8248, expected_value: E12000008, label: geography} + - {column: D, row: 8248, expected_value: All persons, label: sex} + - {column: E, row: 8248, expected_value: Self-employed, label: employment type} + - {column: J, row: 8248, expected_value: Value, label: measure} + - {column: L, row: 8249, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8250 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8250, expected_value: E12000008, label: geography} + - {column: D, row: 8250, expected_value: All persons, label: sex} + - {column: E, row: 8250, expected_value: Self-employed, label: employment type} + - {column: J, row: 8250, expected_value: Value, label: measure} + - {column: L, row: 8251, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8252 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8252, expected_value: E12000008, label: geography} + - {column: D, row: 8252, expected_value: All persons, label: sex} + - {column: E, row: 8252, expected_value: Self-employed, label: employment type} + - {column: J, row: 8252, expected_value: Value, label: measure} + - {column: L, row: 8253, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8254 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8254, expected_value: E12000008, label: geography} + - {column: D, row: 8254, expected_value: All persons, label: sex} + - {column: E, row: 8254, expected_value: Self-employed, label: employment type} + - {column: J, row: 8254, expected_value: Value, label: measure} + - {column: L, row: 8255, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8256 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8256, expected_value: E12000008, label: geography} + - {column: D, row: 8256, expected_value: All persons, label: sex} + - {column: E, row: 8256, expected_value: Self-employed, label: employment type} + - {column: J, row: 8256, expected_value: Value, label: measure} + - {column: L, row: 8257, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8258 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8258, expected_value: E12000008, label: geography} + - {column: D, row: 8258, expected_value: All persons, label: sex} + - {column: E, row: 8258, expected_value: Self-employed, label: employment type} + - {column: J, row: 8258, expected_value: Value, label: measure} + - {column: L, row: 8259, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8260 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8260, expected_value: E12000008, label: geography} + - {column: D, row: 8260, expected_value: All persons, label: sex} + - {column: E, row: 8260, expected_value: Self-employed, label: employment type} + - {column: J, row: 8260, expected_value: Value, label: measure} + - {column: L, row: 8261, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8264 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8264, expected_value: E12000008, label: geography} + - {column: D, row: 8264, expected_value: All persons, label: sex} + - {column: E, row: 8264, expected_value: Self-employed, label: employment type} + - {column: J, row: 8264, expected_value: Value, label: measure} + - {column: L, row: 8265, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8266 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8266, expected_value: E12000008, label: geography} + - {column: D, row: 8266, expected_value: All persons, label: sex} + - {column: E, row: 8266, expected_value: Self-employed, label: employment type} + - {column: J, row: 8266, expected_value: Value, label: measure} + - {column: L, row: 8267, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8268 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8268, expected_value: E12000008, label: geography} + - {column: D, row: 8268, expected_value: All persons, label: sex} + - {column: E, row: 8268, expected_value: Self-employed, label: employment type} + - {column: J, row: 8268, expected_value: Value, label: measure} + - {column: L, row: 8269, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8270 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8270, expected_value: E12000008, label: geography} + - {column: D, row: 8270, expected_value: All persons, label: sex} + - {column: E, row: 8270, expected_value: Self-employed, label: employment type} + - {column: J, row: 8270, expected_value: Value, label: measure} + - {column: L, row: 8271, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8272 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8272, expected_value: E12000008, label: geography} + - {column: D, row: 8272, expected_value: All persons, label: sex} + - {column: E, row: 8272, expected_value: Self-employed, label: employment type} + - {column: J, row: 8272, expected_value: Value, label: measure} + - {column: L, row: 8273, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8274 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8274, expected_value: E12000008, label: geography} + - {column: D, row: 8274, expected_value: All persons, label: sex} + - {column: E, row: 8274, expected_value: Self-employed, label: employment type} + - {column: J, row: 8274, expected_value: Value, label: measure} + - {column: L, row: 8275, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8276 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8276, expected_value: E12000008, label: geography} + - {column: D, row: 8276, expected_value: All persons, label: sex} + - {column: E, row: 8276, expected_value: Self-employed, label: employment type} + - {column: J, row: 8276, expected_value: Value, label: measure} + - {column: L, row: 8277, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8278 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8278, expected_value: E12000008, label: geography} + - {column: D, row: 8278, expected_value: All persons, label: sex} + - {column: E, row: 8278, expected_value: Self-employed, label: employment type} + - {column: J, row: 8278, expected_value: Value, label: measure} + - {column: L, row: 8279, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8280 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8280, expected_value: E12000008, label: geography} + - {column: D, row: 8280, expected_value: All persons, label: sex} + - {column: E, row: 8280, expected_value: Self-employed, label: employment type} + - {column: J, row: 8280, expected_value: Value, label: measure} + - {column: L, row: 8281, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8211 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8211, expected_value: E12000008, label: geography} + - {column: D, row: 8211, expected_value: All persons, label: sex} + - {column: E, row: 8211, expected_value: Self-employed, label: employment type} + - {column: J, row: 8211, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8213 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8213, expected_value: E12000008, label: geography} + - {column: D, row: 8213, expected_value: All persons, label: sex} + - {column: E, row: 8213, expected_value: Self-employed, label: employment type} + - {column: J, row: 8213, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8215 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8215, expected_value: E12000008, label: geography} + - {column: D, row: 8215, expected_value: All persons, label: sex} + - {column: E, row: 8215, expected_value: Self-employed, label: employment type} + - {column: J, row: 8215, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8217 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8217, expected_value: E12000008, label: geography} + - {column: D, row: 8217, expected_value: All persons, label: sex} + - {column: E, row: 8217, expected_value: Self-employed, label: employment type} + - {column: J, row: 8217, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8219 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8219, expected_value: E12000008, label: geography} + - {column: D, row: 8219, expected_value: All persons, label: sex} + - {column: E, row: 8219, expected_value: Self-employed, label: employment type} + - {column: J, row: 8219, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8221 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8221, expected_value: E12000008, label: geography} + - {column: D, row: 8221, expected_value: All persons, label: sex} + - {column: E, row: 8221, expected_value: Self-employed, label: employment type} + - {column: J, row: 8221, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8223 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8223, expected_value: E12000008, label: geography} + - {column: D, row: 8223, expected_value: All persons, label: sex} + - {column: E, row: 8223, expected_value: Self-employed, label: employment type} + - {column: J, row: 8223, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8225 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8225, expected_value: E12000008, label: geography} + - {column: D, row: 8225, expected_value: All persons, label: sex} + - {column: E, row: 8225, expected_value: Self-employed, label: employment type} + - {column: J, row: 8225, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8227 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8227, expected_value: E12000008, label: geography} + - {column: D, row: 8227, expected_value: All persons, label: sex} + - {column: E, row: 8227, expected_value: Self-employed, label: employment type} + - {column: J, row: 8227, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8229 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8229, expected_value: E12000008, label: geography} + - {column: D, row: 8229, expected_value: All persons, label: sex} + - {column: E, row: 8229, expected_value: Self-employed, label: employment type} + - {column: J, row: 8229, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8233 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8233, expected_value: E12000008, label: geography} + - {column: D, row: 8233, expected_value: All persons, label: sex} + - {column: E, row: 8233, expected_value: Self-employed, label: employment type} + - {column: J, row: 8233, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8237 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8237, expected_value: E12000008, label: geography} + - {column: D, row: 8237, expected_value: All persons, label: sex} + - {column: E, row: 8237, expected_value: Self-employed, label: employment type} + - {column: J, row: 8237, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8239 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8239, expected_value: E12000008, label: geography} + - {column: D, row: 8239, expected_value: All persons, label: sex} + - {column: E, row: 8239, expected_value: Self-employed, label: employment type} + - {column: J, row: 8239, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8241 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8241, expected_value: E12000008, label: geography} + - {column: D, row: 8241, expected_value: All persons, label: sex} + - {column: E, row: 8241, expected_value: Self-employed, label: employment type} + - {column: J, row: 8241, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8243 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8243, expected_value: E12000008, label: geography} + - {column: D, row: 8243, expected_value: All persons, label: sex} + - {column: E, row: 8243, expected_value: Self-employed, label: employment type} + - {column: J, row: 8243, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8245 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8245, expected_value: E12000008, label: geography} + - {column: D, row: 8245, expected_value: All persons, label: sex} + - {column: E, row: 8245, expected_value: Self-employed, label: employment type} + - {column: J, row: 8245, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8247 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8247, expected_value: E12000008, label: geography} + - {column: D, row: 8247, expected_value: All persons, label: sex} + - {column: E, row: 8247, expected_value: Self-employed, label: employment type} + - {column: J, row: 8247, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8249 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8249, expected_value: E12000008, label: geography} + - {column: D, row: 8249, expected_value: All persons, label: sex} + - {column: E, row: 8249, expected_value: Self-employed, label: employment type} + - {column: J, row: 8249, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8251 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8251, expected_value: E12000008, label: geography} + - {column: D, row: 8251, expected_value: All persons, label: sex} + - {column: E, row: 8251, expected_value: Self-employed, label: employment type} + - {column: J, row: 8251, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8253 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8253, expected_value: E12000008, label: geography} + - {column: D, row: 8253, expected_value: All persons, label: sex} + - {column: E, row: 8253, expected_value: Self-employed, label: employment type} + - {column: J, row: 8253, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8255 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8255, expected_value: E12000008, label: geography} + - {column: D, row: 8255, expected_value: All persons, label: sex} + - {column: E, row: 8255, expected_value: Self-employed, label: employment type} + - {column: J, row: 8255, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8257 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8257, expected_value: E12000008, label: geography} + - {column: D, row: 8257, expected_value: All persons, label: sex} + - {column: E, row: 8257, expected_value: Self-employed, label: employment type} + - {column: J, row: 8257, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8259 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8259, expected_value: E12000008, label: geography} + - {column: D, row: 8259, expected_value: All persons, label: sex} + - {column: E, row: 8259, expected_value: Self-employed, label: employment type} + - {column: J, row: 8259, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8261 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8261, expected_value: E12000008, label: geography} + - {column: D, row: 8261, expected_value: All persons, label: sex} + - {column: E, row: 8261, expected_value: Self-employed, label: employment type} + - {column: J, row: 8261, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8265 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8265, expected_value: E12000008, label: geography} + - {column: D, row: 8265, expected_value: All persons, label: sex} + - {column: E, row: 8265, expected_value: Self-employed, label: employment type} + - {column: J, row: 8265, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8267 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8267, expected_value: E12000008, label: geography} + - {column: D, row: 8267, expected_value: All persons, label: sex} + - {column: E, row: 8267, expected_value: Self-employed, label: employment type} + - {column: J, row: 8267, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8271 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8271, expected_value: E12000008, label: geography} + - {column: D, row: 8271, expected_value: All persons, label: sex} + - {column: E, row: 8271, expected_value: Self-employed, label: employment type} + - {column: J, row: 8271, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8273 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8273, expected_value: E12000008, label: geography} + - {column: D, row: 8273, expected_value: All persons, label: sex} + - {column: E, row: 8273, expected_value: Self-employed, label: employment type} + - {column: J, row: 8273, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8275 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8275, expected_value: E12000008, label: geography} + - {column: D, row: 8275, expected_value: All persons, label: sex} + - {column: E, row: 8275, expected_value: Self-employed, label: employment type} + - {column: J, row: 8275, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8277 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8277, expected_value: E12000008, label: geography} + - {column: D, row: 8277, expected_value: All persons, label: sex} + - {column: E, row: 8277, expected_value: Self-employed, label: employment type} + - {column: J, row: 8277, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8279 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8279, expected_value: E12000008, label: geography} + - {column: D, row: 8279, expected_value: All persons, label: sex} + - {column: E, row: 8279, expected_value: Self-employed, label: employment type} + - {column: J, row: 8279, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8281 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8281, expected_value: E12000008, label: geography} + - {column: D, row: 8281, expected_value: All persons, label: sex} + - {column: E, row: 8281, expected_value: Self-employed, label: employment type} + - {column: J, row: 8281, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7850 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7850, expected_value: E12000008, label: geography} + - {column: D, row: 7850, expected_value: Males, label: sex} + - {column: E, row: 7850, expected_value: Total, label: employment type} + - {column: J, row: 7850, expected_value: Value, label: measure} + - {column: L, row: 7851, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7852 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7852, expected_value: E12000008, label: geography} + - {column: D, row: 7852, expected_value: Males, label: sex} + - {column: E, row: 7852, expected_value: Total, label: employment type} + - {column: J, row: 7852, expected_value: Value, label: measure} + - {column: L, row: 7853, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7854 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7854, expected_value: E12000008, label: geography} + - {column: D, row: 7854, expected_value: Males, label: sex} + - {column: E, row: 7854, expected_value: Total, label: employment type} + - {column: J, row: 7854, expected_value: Value, label: measure} + - {column: L, row: 7855, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7856 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7856, expected_value: E12000008, label: geography} + - {column: D, row: 7856, expected_value: Males, label: sex} + - {column: E, row: 7856, expected_value: Total, label: employment type} + - {column: J, row: 7856, expected_value: Value, label: measure} + - {column: L, row: 7857, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7858 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7858, expected_value: E12000008, label: geography} + - {column: D, row: 7858, expected_value: Males, label: sex} + - {column: E, row: 7858, expected_value: Total, label: employment type} + - {column: J, row: 7858, expected_value: Value, label: measure} + - {column: L, row: 7859, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7860 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7860, expected_value: E12000008, label: geography} + - {column: D, row: 7860, expected_value: Males, label: sex} + - {column: E, row: 7860, expected_value: Total, label: employment type} + - {column: J, row: 7860, expected_value: Value, label: measure} + - {column: L, row: 7861, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7862 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7862, expected_value: E12000008, label: geography} + - {column: D, row: 7862, expected_value: Males, label: sex} + - {column: E, row: 7862, expected_value: Total, label: employment type} + - {column: J, row: 7862, expected_value: Value, label: measure} + - {column: L, row: 7863, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7864 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7864, expected_value: E12000008, label: geography} + - {column: D, row: 7864, expected_value: Males, label: sex} + - {column: E, row: 7864, expected_value: Total, label: employment type} + - {column: J, row: 7864, expected_value: Value, label: measure} + - {column: L, row: 7865, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7866 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7866, expected_value: E12000008, label: geography} + - {column: D, row: 7866, expected_value: Males, label: sex} + - {column: E, row: 7866, expected_value: Total, label: employment type} + - {column: J, row: 7866, expected_value: Value, label: measure} + - {column: L, row: 7867, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7868 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7868, expected_value: E12000008, label: geography} + - {column: D, row: 7868, expected_value: Males, label: sex} + - {column: E, row: 7868, expected_value: Total, label: employment type} + - {column: J, row: 7868, expected_value: Value, label: measure} + - {column: L, row: 7869, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7870 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7870, expected_value: E12000008, label: geography} + - {column: D, row: 7870, expected_value: Males, label: sex} + - {column: E, row: 7870, expected_value: Total, label: employment type} + - {column: J, row: 7870, expected_value: Value, label: measure} + - {column: L, row: 7871, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7872 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7872, expected_value: E12000008, label: geography} + - {column: D, row: 7872, expected_value: Males, label: sex} + - {column: E, row: 7872, expected_value: Total, label: employment type} + - {column: J, row: 7872, expected_value: Value, label: measure} + - {column: L, row: 7873, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7874 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7874, expected_value: E12000008, label: geography} + - {column: D, row: 7874, expected_value: Males, label: sex} + - {column: E, row: 7874, expected_value: Total, label: employment type} + - {column: J, row: 7874, expected_value: Value, label: measure} + - {column: L, row: 7875, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7876 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7876, expected_value: E12000008, label: geography} + - {column: D, row: 7876, expected_value: Males, label: sex} + - {column: E, row: 7876, expected_value: Total, label: employment type} + - {column: J, row: 7876, expected_value: Value, label: measure} + - {column: L, row: 7877, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7878 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7878, expected_value: E12000008, label: geography} + - {column: D, row: 7878, expected_value: Males, label: sex} + - {column: E, row: 7878, expected_value: Total, label: employment type} + - {column: J, row: 7878, expected_value: Value, label: measure} + - {column: L, row: 7879, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7880 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7880, expected_value: E12000008, label: geography} + - {column: D, row: 7880, expected_value: Males, label: sex} + - {column: E, row: 7880, expected_value: Total, label: employment type} + - {column: J, row: 7880, expected_value: Value, label: measure} + - {column: L, row: 7881, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7882 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7882, expected_value: E12000008, label: geography} + - {column: D, row: 7882, expected_value: Males, label: sex} + - {column: E, row: 7882, expected_value: Total, label: employment type} + - {column: J, row: 7882, expected_value: Value, label: measure} + - {column: L, row: 7883, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7884 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7884, expected_value: E12000008, label: geography} + - {column: D, row: 7884, expected_value: Males, label: sex} + - {column: E, row: 7884, expected_value: Total, label: employment type} + - {column: J, row: 7884, expected_value: Value, label: measure} + - {column: L, row: 7885, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7886 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7886, expected_value: E12000008, label: geography} + - {column: D, row: 7886, expected_value: Males, label: sex} + - {column: E, row: 7886, expected_value: Total, label: employment type} + - {column: J, row: 7886, expected_value: Value, label: measure} + - {column: L, row: 7887, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7888 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7888, expected_value: E12000008, label: geography} + - {column: D, row: 7888, expected_value: Males, label: sex} + - {column: E, row: 7888, expected_value: Total, label: employment type} + - {column: J, row: 7888, expected_value: Value, label: measure} + - {column: L, row: 7889, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7890 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7890, expected_value: E12000008, label: geography} + - {column: D, row: 7890, expected_value: Males, label: sex} + - {column: E, row: 7890, expected_value: Total, label: employment type} + - {column: J, row: 7890, expected_value: Value, label: measure} + - {column: L, row: 7891, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7892 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7892, expected_value: E12000008, label: geography} + - {column: D, row: 7892, expected_value: Males, label: sex} + - {column: E, row: 7892, expected_value: Total, label: employment type} + - {column: J, row: 7892, expected_value: Value, label: measure} + - {column: L, row: 7893, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7894 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7894, expected_value: E12000008, label: geography} + - {column: D, row: 7894, expected_value: Males, label: sex} + - {column: E, row: 7894, expected_value: Total, label: employment type} + - {column: J, row: 7894, expected_value: Value, label: measure} + - {column: L, row: 7895, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7896 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7896, expected_value: E12000008, label: geography} + - {column: D, row: 7896, expected_value: Males, label: sex} + - {column: E, row: 7896, expected_value: Total, label: employment type} + - {column: J, row: 7896, expected_value: Value, label: measure} + - {column: L, row: 7897, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7898 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7898, expected_value: E12000008, label: geography} + - {column: D, row: 7898, expected_value: Males, label: sex} + - {column: E, row: 7898, expected_value: Total, label: employment type} + - {column: J, row: 7898, expected_value: Value, label: measure} + - {column: L, row: 7899, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7900 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7900, expected_value: E12000008, label: geography} + - {column: D, row: 7900, expected_value: Males, label: sex} + - {column: E, row: 7900, expected_value: Total, label: employment type} + - {column: J, row: 7900, expected_value: Value, label: measure} + - {column: L, row: 7901, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7902 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7902, expected_value: E12000008, label: geography} + - {column: D, row: 7902, expected_value: Males, label: sex} + - {column: E, row: 7902, expected_value: Total, label: employment type} + - {column: J, row: 7902, expected_value: Value, label: measure} + - {column: L, row: 7903, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7904 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7904, expected_value: E12000008, label: geography} + - {column: D, row: 7904, expected_value: Males, label: sex} + - {column: E, row: 7904, expected_value: Total, label: employment type} + - {column: J, row: 7904, expected_value: Value, label: measure} + - {column: L, row: 7905, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7906 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7906, expected_value: E12000008, label: geography} + - {column: D, row: 7906, expected_value: Males, label: sex} + - {column: E, row: 7906, expected_value: Total, label: employment type} + - {column: J, row: 7906, expected_value: Value, label: measure} + - {column: L, row: 7907, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7908 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7908, expected_value: E12000008, label: geography} + - {column: D, row: 7908, expected_value: Males, label: sex} + - {column: E, row: 7908, expected_value: Total, label: employment type} + - {column: J, row: 7908, expected_value: Value, label: measure} + - {column: L, row: 7909, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7910 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7910, expected_value: E12000008, label: geography} + - {column: D, row: 7910, expected_value: Males, label: sex} + - {column: E, row: 7910, expected_value: Total, label: employment type} + - {column: J, row: 7910, expected_value: Value, label: measure} + - {column: L, row: 7911, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7912 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7912, expected_value: E12000008, label: geography} + - {column: D, row: 7912, expected_value: Males, label: sex} + - {column: E, row: 7912, expected_value: Total, label: employment type} + - {column: J, row: 7912, expected_value: Value, label: measure} + - {column: L, row: 7913, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7914 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7914, expected_value: E12000008, label: geography} + - {column: D, row: 7914, expected_value: Males, label: sex} + - {column: E, row: 7914, expected_value: Total, label: employment type} + - {column: J, row: 7914, expected_value: Value, label: measure} + - {column: L, row: 7915, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7916 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7916, expected_value: E12000008, label: geography} + - {column: D, row: 7916, expected_value: Males, label: sex} + - {column: E, row: 7916, expected_value: Total, label: employment type} + - {column: J, row: 7916, expected_value: Value, label: measure} + - {column: L, row: 7917, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7918 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7918, expected_value: E12000008, label: geography} + - {column: D, row: 7918, expected_value: Males, label: sex} + - {column: E, row: 7918, expected_value: Total, label: employment type} + - {column: J, row: 7918, expected_value: Value, label: measure} + - {column: L, row: 7919, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7920 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7920, expected_value: E12000008, label: geography} + - {column: D, row: 7920, expected_value: Males, label: sex} + - {column: E, row: 7920, expected_value: Total, label: employment type} + - {column: J, row: 7920, expected_value: Value, label: measure} + - {column: L, row: 7921, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7851 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7851, expected_value: E12000008, label: geography} + - {column: D, row: 7851, expected_value: Males, label: sex} + - {column: E, row: 7851, expected_value: Total, label: employment type} + - {column: J, row: 7851, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7853 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7853, expected_value: E12000008, label: geography} + - {column: D, row: 7853, expected_value: Males, label: sex} + - {column: E, row: 7853, expected_value: Total, label: employment type} + - {column: J, row: 7853, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7855 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7855, expected_value: E12000008, label: geography} + - {column: D, row: 7855, expected_value: Males, label: sex} + - {column: E, row: 7855, expected_value: Total, label: employment type} + - {column: J, row: 7855, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7857 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7857, expected_value: E12000008, label: geography} + - {column: D, row: 7857, expected_value: Males, label: sex} + - {column: E, row: 7857, expected_value: Total, label: employment type} + - {column: J, row: 7857, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7859 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7859, expected_value: E12000008, label: geography} + - {column: D, row: 7859, expected_value: Males, label: sex} + - {column: E, row: 7859, expected_value: Total, label: employment type} + - {column: J, row: 7859, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7861 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7861, expected_value: E12000008, label: geography} + - {column: D, row: 7861, expected_value: Males, label: sex} + - {column: E, row: 7861, expected_value: Total, label: employment type} + - {column: J, row: 7861, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7863 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7863, expected_value: E12000008, label: geography} + - {column: D, row: 7863, expected_value: Males, label: sex} + - {column: E, row: 7863, expected_value: Total, label: employment type} + - {column: J, row: 7863, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7865 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7865, expected_value: E12000008, label: geography} + - {column: D, row: 7865, expected_value: Males, label: sex} + - {column: E, row: 7865, expected_value: Total, label: employment type} + - {column: J, row: 7865, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7867 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7867, expected_value: E12000008, label: geography} + - {column: D, row: 7867, expected_value: Males, label: sex} + - {column: E, row: 7867, expected_value: Total, label: employment type} + - {column: J, row: 7867, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7869 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7869, expected_value: E12000008, label: geography} + - {column: D, row: 7869, expected_value: Males, label: sex} + - {column: E, row: 7869, expected_value: Total, label: employment type} + - {column: J, row: 7869, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7871 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7871, expected_value: E12000008, label: geography} + - {column: D, row: 7871, expected_value: Males, label: sex} + - {column: E, row: 7871, expected_value: Total, label: employment type} + - {column: J, row: 7871, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7873 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7873, expected_value: E12000008, label: geography} + - {column: D, row: 7873, expected_value: Males, label: sex} + - {column: E, row: 7873, expected_value: Total, label: employment type} + - {column: J, row: 7873, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7875 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7875, expected_value: E12000008, label: geography} + - {column: D, row: 7875, expected_value: Males, label: sex} + - {column: E, row: 7875, expected_value: Total, label: employment type} + - {column: J, row: 7875, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7877 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7877, expected_value: E12000008, label: geography} + - {column: D, row: 7877, expected_value: Males, label: sex} + - {column: E, row: 7877, expected_value: Total, label: employment type} + - {column: J, row: 7877, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7879 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7879, expected_value: E12000008, label: geography} + - {column: D, row: 7879, expected_value: Males, label: sex} + - {column: E, row: 7879, expected_value: Total, label: employment type} + - {column: J, row: 7879, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7881 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7881, expected_value: E12000008, label: geography} + - {column: D, row: 7881, expected_value: Males, label: sex} + - {column: E, row: 7881, expected_value: Total, label: employment type} + - {column: J, row: 7881, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7883 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7883, expected_value: E12000008, label: geography} + - {column: D, row: 7883, expected_value: Males, label: sex} + - {column: E, row: 7883, expected_value: Total, label: employment type} + - {column: J, row: 7883, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7885 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7885, expected_value: E12000008, label: geography} + - {column: D, row: 7885, expected_value: Males, label: sex} + - {column: E, row: 7885, expected_value: Total, label: employment type} + - {column: J, row: 7885, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7887 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7887, expected_value: E12000008, label: geography} + - {column: D, row: 7887, expected_value: Males, label: sex} + - {column: E, row: 7887, expected_value: Total, label: employment type} + - {column: J, row: 7887, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7889 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7889, expected_value: E12000008, label: geography} + - {column: D, row: 7889, expected_value: Males, label: sex} + - {column: E, row: 7889, expected_value: Total, label: employment type} + - {column: J, row: 7889, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7891 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7891, expected_value: E12000008, label: geography} + - {column: D, row: 7891, expected_value: Males, label: sex} + - {column: E, row: 7891, expected_value: Total, label: employment type} + - {column: J, row: 7891, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7893 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7893, expected_value: E12000008, label: geography} + - {column: D, row: 7893, expected_value: Males, label: sex} + - {column: E, row: 7893, expected_value: Total, label: employment type} + - {column: J, row: 7893, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7895 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7895, expected_value: E12000008, label: geography} + - {column: D, row: 7895, expected_value: Males, label: sex} + - {column: E, row: 7895, expected_value: Total, label: employment type} + - {column: J, row: 7895, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7897 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7897, expected_value: E12000008, label: geography} + - {column: D, row: 7897, expected_value: Males, label: sex} + - {column: E, row: 7897, expected_value: Total, label: employment type} + - {column: J, row: 7897, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7899 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7899, expected_value: E12000008, label: geography} + - {column: D, row: 7899, expected_value: Males, label: sex} + - {column: E, row: 7899, expected_value: Total, label: employment type} + - {column: J, row: 7899, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7901 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7901, expected_value: E12000008, label: geography} + - {column: D, row: 7901, expected_value: Males, label: sex} + - {column: E, row: 7901, expected_value: Total, label: employment type} + - {column: J, row: 7901, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7905 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7905, expected_value: E12000008, label: geography} + - {column: D, row: 7905, expected_value: Males, label: sex} + - {column: E, row: 7905, expected_value: Total, label: employment type} + - {column: J, row: 7905, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7907 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7907, expected_value: E12000008, label: geography} + - {column: D, row: 7907, expected_value: Males, label: sex} + - {column: E, row: 7907, expected_value: Total, label: employment type} + - {column: J, row: 7907, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7909 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7909, expected_value: E12000008, label: geography} + - {column: D, row: 7909, expected_value: Males, label: sex} + - {column: E, row: 7909, expected_value: Total, label: employment type} + - {column: J, row: 7909, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7911 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7911, expected_value: E12000008, label: geography} + - {column: D, row: 7911, expected_value: Males, label: sex} + - {column: E, row: 7911, expected_value: Total, label: employment type} + - {column: J, row: 7911, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7913 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7913, expected_value: E12000008, label: geography} + - {column: D, row: 7913, expected_value: Males, label: sex} + - {column: E, row: 7913, expected_value: Total, label: employment type} + - {column: J, row: 7913, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7915 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7915, expected_value: E12000008, label: geography} + - {column: D, row: 7915, expected_value: Males, label: sex} + - {column: E, row: 7915, expected_value: Total, label: employment type} + - {column: J, row: 7915, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7917 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7917, expected_value: E12000008, label: geography} + - {column: D, row: 7917, expected_value: Males, label: sex} + - {column: E, row: 7917, expected_value: Total, label: employment type} + - {column: J, row: 7917, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7919 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7919, expected_value: E12000008, label: geography} + - {column: D, row: 7919, expected_value: Males, label: sex} + - {column: E, row: 7919, expected_value: Total, label: employment type} + - {column: J, row: 7919, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7921 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7921, expected_value: E12000008, label: geography} + - {column: D, row: 7921, expected_value: Males, label: sex} + - {column: E, row: 7921, expected_value: Total, label: employment type} + - {column: J, row: 7921, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8066 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8066, expected_value: E12000008, label: geography} + - {column: D, row: 8066, expected_value: Males, label: sex} + - {column: E, row: 8066, expected_value: Employee, label: employment type} + - {column: J, row: 8066, expected_value: Value, label: measure} + - {column: L, row: 8067, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8068 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8068, expected_value: E12000008, label: geography} + - {column: D, row: 8068, expected_value: Males, label: sex} + - {column: E, row: 8068, expected_value: Employee, label: employment type} + - {column: J, row: 8068, expected_value: Value, label: measure} + - {column: L, row: 8069, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8070 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8070, expected_value: E12000008, label: geography} + - {column: D, row: 8070, expected_value: Males, label: sex} + - {column: E, row: 8070, expected_value: Employee, label: employment type} + - {column: J, row: 8070, expected_value: Value, label: measure} + - {column: L, row: 8071, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8072 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8072, expected_value: E12000008, label: geography} + - {column: D, row: 8072, expected_value: Males, label: sex} + - {column: E, row: 8072, expected_value: Employee, label: employment type} + - {column: J, row: 8072, expected_value: Value, label: measure} + - {column: L, row: 8073, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8074 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8074, expected_value: E12000008, label: geography} + - {column: D, row: 8074, expected_value: Males, label: sex} + - {column: E, row: 8074, expected_value: Employee, label: employment type} + - {column: J, row: 8074, expected_value: Value, label: measure} + - {column: L, row: 8075, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8076 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8076, expected_value: E12000008, label: geography} + - {column: D, row: 8076, expected_value: Males, label: sex} + - {column: E, row: 8076, expected_value: Employee, label: employment type} + - {column: J, row: 8076, expected_value: Value, label: measure} + - {column: L, row: 8077, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8078 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8078, expected_value: E12000008, label: geography} + - {column: D, row: 8078, expected_value: Males, label: sex} + - {column: E, row: 8078, expected_value: Employee, label: employment type} + - {column: J, row: 8078, expected_value: Value, label: measure} + - {column: L, row: 8079, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8080 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8080, expected_value: E12000008, label: geography} + - {column: D, row: 8080, expected_value: Males, label: sex} + - {column: E, row: 8080, expected_value: Employee, label: employment type} + - {column: J, row: 8080, expected_value: Value, label: measure} + - {column: L, row: 8081, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8082 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8082, expected_value: E12000008, label: geography} + - {column: D, row: 8082, expected_value: Males, label: sex} + - {column: E, row: 8082, expected_value: Employee, label: employment type} + - {column: J, row: 8082, expected_value: Value, label: measure} + - {column: L, row: 8083, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8084 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8084, expected_value: E12000008, label: geography} + - {column: D, row: 8084, expected_value: Males, label: sex} + - {column: E, row: 8084, expected_value: Employee, label: employment type} + - {column: J, row: 8084, expected_value: Value, label: measure} + - {column: L, row: 8085, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8086 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8086, expected_value: E12000008, label: geography} + - {column: D, row: 8086, expected_value: Males, label: sex} + - {column: E, row: 8086, expected_value: Employee, label: employment type} + - {column: J, row: 8086, expected_value: Value, label: measure} + - {column: L, row: 8087, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8088 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8088, expected_value: E12000008, label: geography} + - {column: D, row: 8088, expected_value: Males, label: sex} + - {column: E, row: 8088, expected_value: Employee, label: employment type} + - {column: J, row: 8088, expected_value: Value, label: measure} + - {column: L, row: 8089, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8090 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8090, expected_value: E12000008, label: geography} + - {column: D, row: 8090, expected_value: Males, label: sex} + - {column: E, row: 8090, expected_value: Employee, label: employment type} + - {column: J, row: 8090, expected_value: Value, label: measure} + - {column: L, row: 8091, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8092 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8092, expected_value: E12000008, label: geography} + - {column: D, row: 8092, expected_value: Males, label: sex} + - {column: E, row: 8092, expected_value: Employee, label: employment type} + - {column: J, row: 8092, expected_value: Value, label: measure} + - {column: L, row: 8093, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8094 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8094, expected_value: E12000008, label: geography} + - {column: D, row: 8094, expected_value: Males, label: sex} + - {column: E, row: 8094, expected_value: Employee, label: employment type} + - {column: J, row: 8094, expected_value: Value, label: measure} + - {column: L, row: 8095, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8096 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8096, expected_value: E12000008, label: geography} + - {column: D, row: 8096, expected_value: Males, label: sex} + - {column: E, row: 8096, expected_value: Employee, label: employment type} + - {column: J, row: 8096, expected_value: Value, label: measure} + - {column: L, row: 8097, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8098 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8098, expected_value: E12000008, label: geography} + - {column: D, row: 8098, expected_value: Males, label: sex} + - {column: E, row: 8098, expected_value: Employee, label: employment type} + - {column: J, row: 8098, expected_value: Value, label: measure} + - {column: L, row: 8099, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8100 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8100, expected_value: E12000008, label: geography} + - {column: D, row: 8100, expected_value: Males, label: sex} + - {column: E, row: 8100, expected_value: Employee, label: employment type} + - {column: J, row: 8100, expected_value: Value, label: measure} + - {column: L, row: 8101, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8102 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8102, expected_value: E12000008, label: geography} + - {column: D, row: 8102, expected_value: Males, label: sex} + - {column: E, row: 8102, expected_value: Employee, label: employment type} + - {column: J, row: 8102, expected_value: Value, label: measure} + - {column: L, row: 8103, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8104 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8104, expected_value: E12000008, label: geography} + - {column: D, row: 8104, expected_value: Males, label: sex} + - {column: E, row: 8104, expected_value: Employee, label: employment type} + - {column: J, row: 8104, expected_value: Value, label: measure} + - {column: L, row: 8105, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8106 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8106, expected_value: E12000008, label: geography} + - {column: D, row: 8106, expected_value: Males, label: sex} + - {column: E, row: 8106, expected_value: Employee, label: employment type} + - {column: J, row: 8106, expected_value: Value, label: measure} + - {column: L, row: 8107, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8108 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8108, expected_value: E12000008, label: geography} + - {column: D, row: 8108, expected_value: Males, label: sex} + - {column: E, row: 8108, expected_value: Employee, label: employment type} + - {column: J, row: 8108, expected_value: Value, label: measure} + - {column: L, row: 8109, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8110 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8110, expected_value: E12000008, label: geography} + - {column: D, row: 8110, expected_value: Males, label: sex} + - {column: E, row: 8110, expected_value: Employee, label: employment type} + - {column: J, row: 8110, expected_value: Value, label: measure} + - {column: L, row: 8111, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8112 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8112, expected_value: E12000008, label: geography} + - {column: D, row: 8112, expected_value: Males, label: sex} + - {column: E, row: 8112, expected_value: Employee, label: employment type} + - {column: J, row: 8112, expected_value: Value, label: measure} + - {column: L, row: 8113, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8114 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8114, expected_value: E12000008, label: geography} + - {column: D, row: 8114, expected_value: Males, label: sex} + - {column: E, row: 8114, expected_value: Employee, label: employment type} + - {column: J, row: 8114, expected_value: Value, label: measure} + - {column: L, row: 8115, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8116 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8116, expected_value: E12000008, label: geography} + - {column: D, row: 8116, expected_value: Males, label: sex} + - {column: E, row: 8116, expected_value: Employee, label: employment type} + - {column: J, row: 8116, expected_value: Value, label: measure} + - {column: L, row: 8117, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8118 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8118, expected_value: E12000008, label: geography} + - {column: D, row: 8118, expected_value: Males, label: sex} + - {column: E, row: 8118, expected_value: Employee, label: employment type} + - {column: J, row: 8118, expected_value: Value, label: measure} + - {column: L, row: 8119, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8120 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8120, expected_value: E12000008, label: geography} + - {column: D, row: 8120, expected_value: Males, label: sex} + - {column: E, row: 8120, expected_value: Employee, label: employment type} + - {column: J, row: 8120, expected_value: Value, label: measure} + - {column: L, row: 8121, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8122 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8122, expected_value: E12000008, label: geography} + - {column: D, row: 8122, expected_value: Males, label: sex} + - {column: E, row: 8122, expected_value: Employee, label: employment type} + - {column: J, row: 8122, expected_value: Value, label: measure} + - {column: L, row: 8123, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8124 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8124, expected_value: E12000008, label: geography} + - {column: D, row: 8124, expected_value: Males, label: sex} + - {column: E, row: 8124, expected_value: Employee, label: employment type} + - {column: J, row: 8124, expected_value: Value, label: measure} + - {column: L, row: 8125, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8126 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8126, expected_value: E12000008, label: geography} + - {column: D, row: 8126, expected_value: Males, label: sex} + - {column: E, row: 8126, expected_value: Employee, label: employment type} + - {column: J, row: 8126, expected_value: Value, label: measure} + - {column: L, row: 8127, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8128 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8128, expected_value: E12000008, label: geography} + - {column: D, row: 8128, expected_value: Males, label: sex} + - {column: E, row: 8128, expected_value: Employee, label: employment type} + - {column: J, row: 8128, expected_value: Value, label: measure} + - {column: L, row: 8129, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8130 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8130, expected_value: E12000008, label: geography} + - {column: D, row: 8130, expected_value: Males, label: sex} + - {column: E, row: 8130, expected_value: Employee, label: employment type} + - {column: J, row: 8130, expected_value: Value, label: measure} + - {column: L, row: 8131, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8132 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8132, expected_value: E12000008, label: geography} + - {column: D, row: 8132, expected_value: Males, label: sex} + - {column: E, row: 8132, expected_value: Employee, label: employment type} + - {column: J, row: 8132, expected_value: Value, label: measure} + - {column: L, row: 8133, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8134 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8134, expected_value: E12000008, label: geography} + - {column: D, row: 8134, expected_value: Males, label: sex} + - {column: E, row: 8134, expected_value: Employee, label: employment type} + - {column: J, row: 8134, expected_value: Value, label: measure} + - {column: L, row: 8135, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8136 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8136, expected_value: E12000008, label: geography} + - {column: D, row: 8136, expected_value: Males, label: sex} + - {column: E, row: 8136, expected_value: Employee, label: employment type} + - {column: J, row: 8136, expected_value: Value, label: measure} + - {column: L, row: 8137, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8067 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8067, expected_value: E12000008, label: geography} + - {column: D, row: 8067, expected_value: Males, label: sex} + - {column: E, row: 8067, expected_value: Employee, label: employment type} + - {column: J, row: 8067, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8069 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8069, expected_value: E12000008, label: geography} + - {column: D, row: 8069, expected_value: Males, label: sex} + - {column: E, row: 8069, expected_value: Employee, label: employment type} + - {column: J, row: 8069, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8071 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8071, expected_value: E12000008, label: geography} + - {column: D, row: 8071, expected_value: Males, label: sex} + - {column: E, row: 8071, expected_value: Employee, label: employment type} + - {column: J, row: 8071, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8073 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8073, expected_value: E12000008, label: geography} + - {column: D, row: 8073, expected_value: Males, label: sex} + - {column: E, row: 8073, expected_value: Employee, label: employment type} + - {column: J, row: 8073, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8075 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8075, expected_value: E12000008, label: geography} + - {column: D, row: 8075, expected_value: Males, label: sex} + - {column: E, row: 8075, expected_value: Employee, label: employment type} + - {column: J, row: 8075, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8077 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8077, expected_value: E12000008, label: geography} + - {column: D, row: 8077, expected_value: Males, label: sex} + - {column: E, row: 8077, expected_value: Employee, label: employment type} + - {column: J, row: 8077, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8079 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8079, expected_value: E12000008, label: geography} + - {column: D, row: 8079, expected_value: Males, label: sex} + - {column: E, row: 8079, expected_value: Employee, label: employment type} + - {column: J, row: 8079, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8081 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8081, expected_value: E12000008, label: geography} + - {column: D, row: 8081, expected_value: Males, label: sex} + - {column: E, row: 8081, expected_value: Employee, label: employment type} + - {column: J, row: 8081, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8083 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8083, expected_value: E12000008, label: geography} + - {column: D, row: 8083, expected_value: Males, label: sex} + - {column: E, row: 8083, expected_value: Employee, label: employment type} + - {column: J, row: 8083, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8085 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8085, expected_value: E12000008, label: geography} + - {column: D, row: 8085, expected_value: Males, label: sex} + - {column: E, row: 8085, expected_value: Employee, label: employment type} + - {column: J, row: 8085, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8087 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8087, expected_value: E12000008, label: geography} + - {column: D, row: 8087, expected_value: Males, label: sex} + - {column: E, row: 8087, expected_value: Employee, label: employment type} + - {column: J, row: 8087, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8089 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8089, expected_value: E12000008, label: geography} + - {column: D, row: 8089, expected_value: Males, label: sex} + - {column: E, row: 8089, expected_value: Employee, label: employment type} + - {column: J, row: 8089, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8091 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8091, expected_value: E12000008, label: geography} + - {column: D, row: 8091, expected_value: Males, label: sex} + - {column: E, row: 8091, expected_value: Employee, label: employment type} + - {column: J, row: 8091, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8093 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8093, expected_value: E12000008, label: geography} + - {column: D, row: 8093, expected_value: Males, label: sex} + - {column: E, row: 8093, expected_value: Employee, label: employment type} + - {column: J, row: 8093, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8095 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8095, expected_value: E12000008, label: geography} + - {column: D, row: 8095, expected_value: Males, label: sex} + - {column: E, row: 8095, expected_value: Employee, label: employment type} + - {column: J, row: 8095, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8097 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8097, expected_value: E12000008, label: geography} + - {column: D, row: 8097, expected_value: Males, label: sex} + - {column: E, row: 8097, expected_value: Employee, label: employment type} + - {column: J, row: 8097, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8099 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8099, expected_value: E12000008, label: geography} + - {column: D, row: 8099, expected_value: Males, label: sex} + - {column: E, row: 8099, expected_value: Employee, label: employment type} + - {column: J, row: 8099, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8101 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8101, expected_value: E12000008, label: geography} + - {column: D, row: 8101, expected_value: Males, label: sex} + - {column: E, row: 8101, expected_value: Employee, label: employment type} + - {column: J, row: 8101, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8103 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8103, expected_value: E12000008, label: geography} + - {column: D, row: 8103, expected_value: Males, label: sex} + - {column: E, row: 8103, expected_value: Employee, label: employment type} + - {column: J, row: 8103, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8105 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8105, expected_value: E12000008, label: geography} + - {column: D, row: 8105, expected_value: Males, label: sex} + - {column: E, row: 8105, expected_value: Employee, label: employment type} + - {column: J, row: 8105, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8107 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8107, expected_value: E12000008, label: geography} + - {column: D, row: 8107, expected_value: Males, label: sex} + - {column: E, row: 8107, expected_value: Employee, label: employment type} + - {column: J, row: 8107, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8109 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8109, expected_value: E12000008, label: geography} + - {column: D, row: 8109, expected_value: Males, label: sex} + - {column: E, row: 8109, expected_value: Employee, label: employment type} + - {column: J, row: 8109, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8111 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8111, expected_value: E12000008, label: geography} + - {column: D, row: 8111, expected_value: Males, label: sex} + - {column: E, row: 8111, expected_value: Employee, label: employment type} + - {column: J, row: 8111, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8113 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8113, expected_value: E12000008, label: geography} + - {column: D, row: 8113, expected_value: Males, label: sex} + - {column: E, row: 8113, expected_value: Employee, label: employment type} + - {column: J, row: 8113, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8115 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8115, expected_value: E12000008, label: geography} + - {column: D, row: 8115, expected_value: Males, label: sex} + - {column: E, row: 8115, expected_value: Employee, label: employment type} + - {column: J, row: 8115, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8117 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8117, expected_value: E12000008, label: geography} + - {column: D, row: 8117, expected_value: Males, label: sex} + - {column: E, row: 8117, expected_value: Employee, label: employment type} + - {column: J, row: 8117, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8121 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8121, expected_value: E12000008, label: geography} + - {column: D, row: 8121, expected_value: Males, label: sex} + - {column: E, row: 8121, expected_value: Employee, label: employment type} + - {column: J, row: 8121, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8123 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8123, expected_value: E12000008, label: geography} + - {column: D, row: 8123, expected_value: Males, label: sex} + - {column: E, row: 8123, expected_value: Employee, label: employment type} + - {column: J, row: 8123, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8125 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8125, expected_value: E12000008, label: geography} + - {column: D, row: 8125, expected_value: Males, label: sex} + - {column: E, row: 8125, expected_value: Employee, label: employment type} + - {column: J, row: 8125, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8127 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8127, expected_value: E12000008, label: geography} + - {column: D, row: 8127, expected_value: Males, label: sex} + - {column: E, row: 8127, expected_value: Employee, label: employment type} + - {column: J, row: 8127, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8129 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8129, expected_value: E12000008, label: geography} + - {column: D, row: 8129, expected_value: Males, label: sex} + - {column: E, row: 8129, expected_value: Employee, label: employment type} + - {column: J, row: 8129, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8131 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8131, expected_value: E12000008, label: geography} + - {column: D, row: 8131, expected_value: Males, label: sex} + - {column: E, row: 8131, expected_value: Employee, label: employment type} + - {column: J, row: 8131, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8133 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8133, expected_value: E12000008, label: geography} + - {column: D, row: 8133, expected_value: Males, label: sex} + - {column: E, row: 8133, expected_value: Employee, label: employment type} + - {column: J, row: 8133, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8135 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8135, expected_value: E12000008, label: geography} + - {column: D, row: 8135, expected_value: Males, label: sex} + - {column: E, row: 8135, expected_value: Employee, label: employment type} + - {column: J, row: 8135, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8137 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8137, expected_value: E12000008, label: geography} + - {column: D, row: 8137, expected_value: Males, label: sex} + - {column: E, row: 8137, expected_value: Employee, label: employment type} + - {column: J, row: 8137, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8282 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8282, expected_value: E12000008, label: geography} + - {column: D, row: 8282, expected_value: Males, label: sex} + - {column: E, row: 8282, expected_value: Self-employed, label: employment type} + - {column: J, row: 8282, expected_value: Value, label: measure} + - {column: L, row: 8283, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8284 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8284, expected_value: E12000008, label: geography} + - {column: D, row: 8284, expected_value: Males, label: sex} + - {column: E, row: 8284, expected_value: Self-employed, label: employment type} + - {column: J, row: 8284, expected_value: Value, label: measure} + - {column: L, row: 8285, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8286 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8286, expected_value: E12000008, label: geography} + - {column: D, row: 8286, expected_value: Males, label: sex} + - {column: E, row: 8286, expected_value: Self-employed, label: employment type} + - {column: J, row: 8286, expected_value: Value, label: measure} + - {column: L, row: 8287, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8288 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8288, expected_value: E12000008, label: geography} + - {column: D, row: 8288, expected_value: Males, label: sex} + - {column: E, row: 8288, expected_value: Self-employed, label: employment type} + - {column: J, row: 8288, expected_value: Value, label: measure} + - {column: L, row: 8289, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8290 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8290, expected_value: E12000008, label: geography} + - {column: D, row: 8290, expected_value: Males, label: sex} + - {column: E, row: 8290, expected_value: Self-employed, label: employment type} + - {column: J, row: 8290, expected_value: Value, label: measure} + - {column: L, row: 8291, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8292 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8292, expected_value: E12000008, label: geography} + - {column: D, row: 8292, expected_value: Males, label: sex} + - {column: E, row: 8292, expected_value: Self-employed, label: employment type} + - {column: J, row: 8292, expected_value: Value, label: measure} + - {column: L, row: 8293, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8294 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8294, expected_value: E12000008, label: geography} + - {column: D, row: 8294, expected_value: Males, label: sex} + - {column: E, row: 8294, expected_value: Self-employed, label: employment type} + - {column: J, row: 8294, expected_value: Value, label: measure} + - {column: L, row: 8295, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8296 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8296, expected_value: E12000008, label: geography} + - {column: D, row: 8296, expected_value: Males, label: sex} + - {column: E, row: 8296, expected_value: Self-employed, label: employment type} + - {column: J, row: 8296, expected_value: Value, label: measure} + - {column: L, row: 8297, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8298 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8298, expected_value: E12000008, label: geography} + - {column: D, row: 8298, expected_value: Males, label: sex} + - {column: E, row: 8298, expected_value: Self-employed, label: employment type} + - {column: J, row: 8298, expected_value: Value, label: measure} + - {column: L, row: 8299, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8300 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8300, expected_value: E12000008, label: geography} + - {column: D, row: 8300, expected_value: Males, label: sex} + - {column: E, row: 8300, expected_value: Self-employed, label: employment type} + - {column: J, row: 8300, expected_value: Value, label: measure} + - {column: L, row: 8301, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8302 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8302, expected_value: E12000008, label: geography} + - {column: D, row: 8302, expected_value: Males, label: sex} + - {column: E, row: 8302, expected_value: Self-employed, label: employment type} + - {column: J, row: 8302, expected_value: Value, label: measure} + - {column: L, row: 8303, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8304 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8304, expected_value: E12000008, label: geography} + - {column: D, row: 8304, expected_value: Males, label: sex} + - {column: E, row: 8304, expected_value: Self-employed, label: employment type} + - {column: J, row: 8304, expected_value: Value, label: measure} + - {column: L, row: 8305, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8306 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8306, expected_value: E12000008, label: geography} + - {column: D, row: 8306, expected_value: Males, label: sex} + - {column: E, row: 8306, expected_value: Self-employed, label: employment type} + - {column: J, row: 8306, expected_value: Value, label: measure} + - {column: L, row: 8307, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8308 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8308, expected_value: E12000008, label: geography} + - {column: D, row: 8308, expected_value: Males, label: sex} + - {column: E, row: 8308, expected_value: Self-employed, label: employment type} + - {column: J, row: 8308, expected_value: Value, label: measure} + - {column: L, row: 8309, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8310 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8310, expected_value: E12000008, label: geography} + - {column: D, row: 8310, expected_value: Males, label: sex} + - {column: E, row: 8310, expected_value: Self-employed, label: employment type} + - {column: J, row: 8310, expected_value: Value, label: measure} + - {column: L, row: 8311, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8312 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8312, expected_value: E12000008, label: geography} + - {column: D, row: 8312, expected_value: Males, label: sex} + - {column: E, row: 8312, expected_value: Self-employed, label: employment type} + - {column: J, row: 8312, expected_value: Value, label: measure} + - {column: L, row: 8313, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8314 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8314, expected_value: E12000008, label: geography} + - {column: D, row: 8314, expected_value: Males, label: sex} + - {column: E, row: 8314, expected_value: Self-employed, label: employment type} + - {column: J, row: 8314, expected_value: Value, label: measure} + - {column: L, row: 8315, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8318 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8318, expected_value: E12000008, label: geography} + - {column: D, row: 8318, expected_value: Males, label: sex} + - {column: E, row: 8318, expected_value: Self-employed, label: employment type} + - {column: J, row: 8318, expected_value: Value, label: measure} + - {column: L, row: 8319, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8320 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8320, expected_value: E12000008, label: geography} + - {column: D, row: 8320, expected_value: Males, label: sex} + - {column: E, row: 8320, expected_value: Self-employed, label: employment type} + - {column: J, row: 8320, expected_value: Value, label: measure} + - {column: L, row: 8321, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8322 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8322, expected_value: E12000008, label: geography} + - {column: D, row: 8322, expected_value: Males, label: sex} + - {column: E, row: 8322, expected_value: Self-employed, label: employment type} + - {column: J, row: 8322, expected_value: Value, label: measure} + - {column: L, row: 8323, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8324 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8324, expected_value: E12000008, label: geography} + - {column: D, row: 8324, expected_value: Males, label: sex} + - {column: E, row: 8324, expected_value: Self-employed, label: employment type} + - {column: J, row: 8324, expected_value: Value, label: measure} + - {column: L, row: 8325, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8326 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8326, expected_value: E12000008, label: geography} + - {column: D, row: 8326, expected_value: Males, label: sex} + - {column: E, row: 8326, expected_value: Self-employed, label: employment type} + - {column: J, row: 8326, expected_value: Value, label: measure} + - {column: L, row: 8327, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8328 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8328, expected_value: E12000008, label: geography} + - {column: D, row: 8328, expected_value: Males, label: sex} + - {column: E, row: 8328, expected_value: Self-employed, label: employment type} + - {column: J, row: 8328, expected_value: Value, label: measure} + - {column: L, row: 8329, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8330 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8330, expected_value: E12000008, label: geography} + - {column: D, row: 8330, expected_value: Males, label: sex} + - {column: E, row: 8330, expected_value: Self-employed, label: employment type} + - {column: J, row: 8330, expected_value: Value, label: measure} + - {column: L, row: 8331, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8332 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8332, expected_value: E12000008, label: geography} + - {column: D, row: 8332, expected_value: Males, label: sex} + - {column: E, row: 8332, expected_value: Self-employed, label: employment type} + - {column: J, row: 8332, expected_value: Value, label: measure} + - {column: L, row: 8333, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8336 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8336, expected_value: E12000008, label: geography} + - {column: D, row: 8336, expected_value: Males, label: sex} + - {column: E, row: 8336, expected_value: Self-employed, label: employment type} + - {column: J, row: 8336, expected_value: Value, label: measure} + - {column: L, row: 8337, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8338 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8338, expected_value: E12000008, label: geography} + - {column: D, row: 8338, expected_value: Males, label: sex} + - {column: E, row: 8338, expected_value: Self-employed, label: employment type} + - {column: J, row: 8338, expected_value: Value, label: measure} + - {column: L, row: 8339, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8340 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8340, expected_value: E12000008, label: geography} + - {column: D, row: 8340, expected_value: Males, label: sex} + - {column: E, row: 8340, expected_value: Self-employed, label: employment type} + - {column: J, row: 8340, expected_value: Value, label: measure} + - {column: L, row: 8341, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8342 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8342, expected_value: E12000008, label: geography} + - {column: D, row: 8342, expected_value: Males, label: sex} + - {column: E, row: 8342, expected_value: Self-employed, label: employment type} + - {column: J, row: 8342, expected_value: Value, label: measure} + - {column: L, row: 8343, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8344 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8344, expected_value: E12000008, label: geography} + - {column: D, row: 8344, expected_value: Males, label: sex} + - {column: E, row: 8344, expected_value: Self-employed, label: employment type} + - {column: J, row: 8344, expected_value: Value, label: measure} + - {column: L, row: 8345, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8346 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8346, expected_value: E12000008, label: geography} + - {column: D, row: 8346, expected_value: Males, label: sex} + - {column: E, row: 8346, expected_value: Self-employed, label: employment type} + - {column: J, row: 8346, expected_value: Value, label: measure} + - {column: L, row: 8347, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8348 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8348, expected_value: E12000008, label: geography} + - {column: D, row: 8348, expected_value: Males, label: sex} + - {column: E, row: 8348, expected_value: Self-employed, label: employment type} + - {column: J, row: 8348, expected_value: Value, label: measure} + - {column: L, row: 8349, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8350 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8350, expected_value: E12000008, label: geography} + - {column: D, row: 8350, expected_value: Males, label: sex} + - {column: E, row: 8350, expected_value: Self-employed, label: employment type} + - {column: J, row: 8350, expected_value: Value, label: measure} + - {column: L, row: 8351, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8352 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8352, expected_value: E12000008, label: geography} + - {column: D, row: 8352, expected_value: Males, label: sex} + - {column: E, row: 8352, expected_value: Self-employed, label: employment type} + - {column: J, row: 8352, expected_value: Value, label: measure} + - {column: L, row: 8353, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8283 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8283, expected_value: E12000008, label: geography} + - {column: D, row: 8283, expected_value: Males, label: sex} + - {column: E, row: 8283, expected_value: Self-employed, label: employment type} + - {column: J, row: 8283, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8285 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8285, expected_value: E12000008, label: geography} + - {column: D, row: 8285, expected_value: Males, label: sex} + - {column: E, row: 8285, expected_value: Self-employed, label: employment type} + - {column: J, row: 8285, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8287 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8287, expected_value: E12000008, label: geography} + - {column: D, row: 8287, expected_value: Males, label: sex} + - {column: E, row: 8287, expected_value: Self-employed, label: employment type} + - {column: J, row: 8287, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8289 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8289, expected_value: E12000008, label: geography} + - {column: D, row: 8289, expected_value: Males, label: sex} + - {column: E, row: 8289, expected_value: Self-employed, label: employment type} + - {column: J, row: 8289, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8291 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8291, expected_value: E12000008, label: geography} + - {column: D, row: 8291, expected_value: Males, label: sex} + - {column: E, row: 8291, expected_value: Self-employed, label: employment type} + - {column: J, row: 8291, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8293 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8293, expected_value: E12000008, label: geography} + - {column: D, row: 8293, expected_value: Males, label: sex} + - {column: E, row: 8293, expected_value: Self-employed, label: employment type} + - {column: J, row: 8293, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8295 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8295, expected_value: E12000008, label: geography} + - {column: D, row: 8295, expected_value: Males, label: sex} + - {column: E, row: 8295, expected_value: Self-employed, label: employment type} + - {column: J, row: 8295, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8297 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8297, expected_value: E12000008, label: geography} + - {column: D, row: 8297, expected_value: Males, label: sex} + - {column: E, row: 8297, expected_value: Self-employed, label: employment type} + - {column: J, row: 8297, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8299 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8299, expected_value: E12000008, label: geography} + - {column: D, row: 8299, expected_value: Males, label: sex} + - {column: E, row: 8299, expected_value: Self-employed, label: employment type} + - {column: J, row: 8299, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8301 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8301, expected_value: E12000008, label: geography} + - {column: D, row: 8301, expected_value: Males, label: sex} + - {column: E, row: 8301, expected_value: Self-employed, label: employment type} + - {column: J, row: 8301, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8309 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8309, expected_value: E12000008, label: geography} + - {column: D, row: 8309, expected_value: Males, label: sex} + - {column: E, row: 8309, expected_value: Self-employed, label: employment type} + - {column: J, row: 8309, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8311 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8311, expected_value: E12000008, label: geography} + - {column: D, row: 8311, expected_value: Males, label: sex} + - {column: E, row: 8311, expected_value: Self-employed, label: employment type} + - {column: J, row: 8311, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8313 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8313, expected_value: E12000008, label: geography} + - {column: D, row: 8313, expected_value: Males, label: sex} + - {column: E, row: 8313, expected_value: Self-employed, label: employment type} + - {column: J, row: 8313, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8315 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8315, expected_value: E12000008, label: geography} + - {column: D, row: 8315, expected_value: Males, label: sex} + - {column: E, row: 8315, expected_value: Self-employed, label: employment type} + - {column: J, row: 8315, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8319 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8319, expected_value: E12000008, label: geography} + - {column: D, row: 8319, expected_value: Males, label: sex} + - {column: E, row: 8319, expected_value: Self-employed, label: employment type} + - {column: J, row: 8319, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8321 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8321, expected_value: E12000008, label: geography} + - {column: D, row: 8321, expected_value: Males, label: sex} + - {column: E, row: 8321, expected_value: Self-employed, label: employment type} + - {column: J, row: 8321, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8323 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8323, expected_value: E12000008, label: geography} + - {column: D, row: 8323, expected_value: Males, label: sex} + - {column: E, row: 8323, expected_value: Self-employed, label: employment type} + - {column: J, row: 8323, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8325 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8325, expected_value: E12000008, label: geography} + - {column: D, row: 8325, expected_value: Males, label: sex} + - {column: E, row: 8325, expected_value: Self-employed, label: employment type} + - {column: J, row: 8325, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8327 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8327, expected_value: E12000008, label: geography} + - {column: D, row: 8327, expected_value: Males, label: sex} + - {column: E, row: 8327, expected_value: Self-employed, label: employment type} + - {column: J, row: 8327, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8329 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8329, expected_value: E12000008, label: geography} + - {column: D, row: 8329, expected_value: Males, label: sex} + - {column: E, row: 8329, expected_value: Self-employed, label: employment type} + - {column: J, row: 8329, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8331 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8331, expected_value: E12000008, label: geography} + - {column: D, row: 8331, expected_value: Males, label: sex} + - {column: E, row: 8331, expected_value: Self-employed, label: employment type} + - {column: J, row: 8331, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8337 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8337, expected_value: E12000008, label: geography} + - {column: D, row: 8337, expected_value: Males, label: sex} + - {column: E, row: 8337, expected_value: Self-employed, label: employment type} + - {column: J, row: 8337, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8339 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8339, expected_value: E12000008, label: geography} + - {column: D, row: 8339, expected_value: Males, label: sex} + - {column: E, row: 8339, expected_value: Self-employed, label: employment type} + - {column: J, row: 8339, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8343 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8343, expected_value: E12000008, label: geography} + - {column: D, row: 8343, expected_value: Males, label: sex} + - {column: E, row: 8343, expected_value: Self-employed, label: employment type} + - {column: J, row: 8343, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8345 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8345, expected_value: E12000008, label: geography} + - {column: D, row: 8345, expected_value: Males, label: sex} + - {column: E, row: 8345, expected_value: Self-employed, label: employment type} + - {column: J, row: 8345, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8347 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8347, expected_value: E12000008, label: geography} + - {column: D, row: 8347, expected_value: Males, label: sex} + - {column: E, row: 8347, expected_value: Self-employed, label: employment type} + - {column: J, row: 8347, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8349 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8349, expected_value: E12000008, label: geography} + - {column: D, row: 8349, expected_value: Males, label: sex} + - {column: E, row: 8349, expected_value: Self-employed, label: employment type} + - {column: J, row: 8349, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8351 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8351, expected_value: E12000008, label: geography} + - {column: D, row: 8351, expected_value: Males, label: sex} + - {column: E, row: 8351, expected_value: Self-employed, label: employment type} + - {column: J, row: 8351, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8353 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8353, expected_value: E12000008, label: geography} + - {column: D, row: 8353, expected_value: Males, label: sex} + - {column: E, row: 8353, expected_value: Self-employed, label: employment type} + - {column: J, row: 8353, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7922 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7922, expected_value: E12000008, label: geography} + - {column: D, row: 7922, expected_value: Females, label: sex} + - {column: E, row: 7922, expected_value: Total, label: employment type} + - {column: J, row: 7922, expected_value: Value, label: measure} + - {column: L, row: 7923, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7924 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7924, expected_value: E12000008, label: geography} + - {column: D, row: 7924, expected_value: Females, label: sex} + - {column: E, row: 7924, expected_value: Total, label: employment type} + - {column: J, row: 7924, expected_value: Value, label: measure} + - {column: L, row: 7925, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7926 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7926, expected_value: E12000008, label: geography} + - {column: D, row: 7926, expected_value: Females, label: sex} + - {column: E, row: 7926, expected_value: Total, label: employment type} + - {column: J, row: 7926, expected_value: Value, label: measure} + - {column: L, row: 7927, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7928 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7928, expected_value: E12000008, label: geography} + - {column: D, row: 7928, expected_value: Females, label: sex} + - {column: E, row: 7928, expected_value: Total, label: employment type} + - {column: J, row: 7928, expected_value: Value, label: measure} + - {column: L, row: 7929, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7930 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7930, expected_value: E12000008, label: geography} + - {column: D, row: 7930, expected_value: Females, label: sex} + - {column: E, row: 7930, expected_value: Total, label: employment type} + - {column: J, row: 7930, expected_value: Value, label: measure} + - {column: L, row: 7931, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7932 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7932, expected_value: E12000008, label: geography} + - {column: D, row: 7932, expected_value: Females, label: sex} + - {column: E, row: 7932, expected_value: Total, label: employment type} + - {column: J, row: 7932, expected_value: Value, label: measure} + - {column: L, row: 7933, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7934 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7934, expected_value: E12000008, label: geography} + - {column: D, row: 7934, expected_value: Females, label: sex} + - {column: E, row: 7934, expected_value: Total, label: employment type} + - {column: J, row: 7934, expected_value: Value, label: measure} + - {column: L, row: 7935, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7936 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7936, expected_value: E12000008, label: geography} + - {column: D, row: 7936, expected_value: Females, label: sex} + - {column: E, row: 7936, expected_value: Total, label: employment type} + - {column: J, row: 7936, expected_value: Value, label: measure} + - {column: L, row: 7937, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7938 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7938, expected_value: E12000008, label: geography} + - {column: D, row: 7938, expected_value: Females, label: sex} + - {column: E, row: 7938, expected_value: Total, label: employment type} + - {column: J, row: 7938, expected_value: Value, label: measure} + - {column: L, row: 7939, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7940 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7940, expected_value: E12000008, label: geography} + - {column: D, row: 7940, expected_value: Females, label: sex} + - {column: E, row: 7940, expected_value: Total, label: employment type} + - {column: J, row: 7940, expected_value: Value, label: measure} + - {column: L, row: 7941, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7942 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7942, expected_value: E12000008, label: geography} + - {column: D, row: 7942, expected_value: Females, label: sex} + - {column: E, row: 7942, expected_value: Total, label: employment type} + - {column: J, row: 7942, expected_value: Value, label: measure} + - {column: L, row: 7943, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7944 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7944, expected_value: E12000008, label: geography} + - {column: D, row: 7944, expected_value: Females, label: sex} + - {column: E, row: 7944, expected_value: Total, label: employment type} + - {column: J, row: 7944, expected_value: Value, label: measure} + - {column: L, row: 7945, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7946 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7946, expected_value: E12000008, label: geography} + - {column: D, row: 7946, expected_value: Females, label: sex} + - {column: E, row: 7946, expected_value: Total, label: employment type} + - {column: J, row: 7946, expected_value: Value, label: measure} + - {column: L, row: 7947, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7948 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7948, expected_value: E12000008, label: geography} + - {column: D, row: 7948, expected_value: Females, label: sex} + - {column: E, row: 7948, expected_value: Total, label: employment type} + - {column: J, row: 7948, expected_value: Value, label: measure} + - {column: L, row: 7949, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7950 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7950, expected_value: E12000008, label: geography} + - {column: D, row: 7950, expected_value: Females, label: sex} + - {column: E, row: 7950, expected_value: Total, label: employment type} + - {column: J, row: 7950, expected_value: Value, label: measure} + - {column: L, row: 7951, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7952 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7952, expected_value: E12000008, label: geography} + - {column: D, row: 7952, expected_value: Females, label: sex} + - {column: E, row: 7952, expected_value: Total, label: employment type} + - {column: J, row: 7952, expected_value: Value, label: measure} + - {column: L, row: 7953, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7954 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7954, expected_value: E12000008, label: geography} + - {column: D, row: 7954, expected_value: Females, label: sex} + - {column: E, row: 7954, expected_value: Total, label: employment type} + - {column: J, row: 7954, expected_value: Value, label: measure} + - {column: L, row: 7955, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7956 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7956, expected_value: E12000008, label: geography} + - {column: D, row: 7956, expected_value: Females, label: sex} + - {column: E, row: 7956, expected_value: Total, label: employment type} + - {column: J, row: 7956, expected_value: Value, label: measure} + - {column: L, row: 7957, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7958 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7958, expected_value: E12000008, label: geography} + - {column: D, row: 7958, expected_value: Females, label: sex} + - {column: E, row: 7958, expected_value: Total, label: employment type} + - {column: J, row: 7958, expected_value: Value, label: measure} + - {column: L, row: 7959, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7960 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7960, expected_value: E12000008, label: geography} + - {column: D, row: 7960, expected_value: Females, label: sex} + - {column: E, row: 7960, expected_value: Total, label: employment type} + - {column: J, row: 7960, expected_value: Value, label: measure} + - {column: L, row: 7961, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7962 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7962, expected_value: E12000008, label: geography} + - {column: D, row: 7962, expected_value: Females, label: sex} + - {column: E, row: 7962, expected_value: Total, label: employment type} + - {column: J, row: 7962, expected_value: Value, label: measure} + - {column: L, row: 7963, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7964 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7964, expected_value: E12000008, label: geography} + - {column: D, row: 7964, expected_value: Females, label: sex} + - {column: E, row: 7964, expected_value: Total, label: employment type} + - {column: J, row: 7964, expected_value: Value, label: measure} + - {column: L, row: 7965, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7966 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7966, expected_value: E12000008, label: geography} + - {column: D, row: 7966, expected_value: Females, label: sex} + - {column: E, row: 7966, expected_value: Total, label: employment type} + - {column: J, row: 7966, expected_value: Value, label: measure} + - {column: L, row: 7967, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7968 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7968, expected_value: E12000008, label: geography} + - {column: D, row: 7968, expected_value: Females, label: sex} + - {column: E, row: 7968, expected_value: Total, label: employment type} + - {column: J, row: 7968, expected_value: Value, label: measure} + - {column: L, row: 7969, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7970 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7970, expected_value: E12000008, label: geography} + - {column: D, row: 7970, expected_value: Females, label: sex} + - {column: E, row: 7970, expected_value: Total, label: employment type} + - {column: J, row: 7970, expected_value: Value, label: measure} + - {column: L, row: 7971, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7972 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7972, expected_value: E12000008, label: geography} + - {column: D, row: 7972, expected_value: Females, label: sex} + - {column: E, row: 7972, expected_value: Total, label: employment type} + - {column: J, row: 7972, expected_value: Value, label: measure} + - {column: L, row: 7973, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7974 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7974, expected_value: E12000008, label: geography} + - {column: D, row: 7974, expected_value: Females, label: sex} + - {column: E, row: 7974, expected_value: Total, label: employment type} + - {column: J, row: 7974, expected_value: Value, label: measure} + - {column: L, row: 7975, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7976 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7976, expected_value: E12000008, label: geography} + - {column: D, row: 7976, expected_value: Females, label: sex} + - {column: E, row: 7976, expected_value: Total, label: employment type} + - {column: J, row: 7976, expected_value: Value, label: measure} + - {column: L, row: 7977, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7978 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7978, expected_value: E12000008, label: geography} + - {column: D, row: 7978, expected_value: Females, label: sex} + - {column: E, row: 7978, expected_value: Total, label: employment type} + - {column: J, row: 7978, expected_value: Value, label: measure} + - {column: L, row: 7979, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7980 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7980, expected_value: E12000008, label: geography} + - {column: D, row: 7980, expected_value: Females, label: sex} + - {column: E, row: 7980, expected_value: Total, label: employment type} + - {column: J, row: 7980, expected_value: Value, label: measure} + - {column: L, row: 7981, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7982 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7982, expected_value: E12000008, label: geography} + - {column: D, row: 7982, expected_value: Females, label: sex} + - {column: E, row: 7982, expected_value: Total, label: employment type} + - {column: J, row: 7982, expected_value: Value, label: measure} + - {column: L, row: 7983, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7984 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7984, expected_value: E12000008, label: geography} + - {column: D, row: 7984, expected_value: Females, label: sex} + - {column: E, row: 7984, expected_value: Total, label: employment type} + - {column: J, row: 7984, expected_value: Value, label: measure} + - {column: L, row: 7985, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7986 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7986, expected_value: E12000008, label: geography} + - {column: D, row: 7986, expected_value: Females, label: sex} + - {column: E, row: 7986, expected_value: Total, label: employment type} + - {column: J, row: 7986, expected_value: Value, label: measure} + - {column: L, row: 7987, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7988 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7988, expected_value: E12000008, label: geography} + - {column: D, row: 7988, expected_value: Females, label: sex} + - {column: E, row: 7988, expected_value: Total, label: employment type} + - {column: J, row: 7988, expected_value: Value, label: measure} + - {column: L, row: 7989, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7990 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7990, expected_value: E12000008, label: geography} + - {column: D, row: 7990, expected_value: Females, label: sex} + - {column: E, row: 7990, expected_value: Total, label: employment type} + - {column: J, row: 7990, expected_value: Value, label: measure} + - {column: L, row: 7991, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7992 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7992, expected_value: E12000008, label: geography} + - {column: D, row: 7992, expected_value: Females, label: sex} + - {column: E, row: 7992, expected_value: Total, label: employment type} + - {column: J, row: 7992, expected_value: Value, label: measure} + - {column: L, row: 7993, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7923 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7923, expected_value: E12000008, label: geography} + - {column: D, row: 7923, expected_value: Females, label: sex} + - {column: E, row: 7923, expected_value: Total, label: employment type} + - {column: J, row: 7923, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7925 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7925, expected_value: E12000008, label: geography} + - {column: D, row: 7925, expected_value: Females, label: sex} + - {column: E, row: 7925, expected_value: Total, label: employment type} + - {column: J, row: 7925, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7927 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7927, expected_value: E12000008, label: geography} + - {column: D, row: 7927, expected_value: Females, label: sex} + - {column: E, row: 7927, expected_value: Total, label: employment type} + - {column: J, row: 7927, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7929 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7929, expected_value: E12000008, label: geography} + - {column: D, row: 7929, expected_value: Females, label: sex} + - {column: E, row: 7929, expected_value: Total, label: employment type} + - {column: J, row: 7929, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7931 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7931, expected_value: E12000008, label: geography} + - {column: D, row: 7931, expected_value: Females, label: sex} + - {column: E, row: 7931, expected_value: Total, label: employment type} + - {column: J, row: 7931, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7933 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7933, expected_value: E12000008, label: geography} + - {column: D, row: 7933, expected_value: Females, label: sex} + - {column: E, row: 7933, expected_value: Total, label: employment type} + - {column: J, row: 7933, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7935 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7935, expected_value: E12000008, label: geography} + - {column: D, row: 7935, expected_value: Females, label: sex} + - {column: E, row: 7935, expected_value: Total, label: employment type} + - {column: J, row: 7935, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7937 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7937, expected_value: E12000008, label: geography} + - {column: D, row: 7937, expected_value: Females, label: sex} + - {column: E, row: 7937, expected_value: Total, label: employment type} + - {column: J, row: 7937, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7939 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7939, expected_value: E12000008, label: geography} + - {column: D, row: 7939, expected_value: Females, label: sex} + - {column: E, row: 7939, expected_value: Total, label: employment type} + - {column: J, row: 7939, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7941 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7941, expected_value: E12000008, label: geography} + - {column: D, row: 7941, expected_value: Females, label: sex} + - {column: E, row: 7941, expected_value: Total, label: employment type} + - {column: J, row: 7941, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7943 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7943, expected_value: E12000008, label: geography} + - {column: D, row: 7943, expected_value: Females, label: sex} + - {column: E, row: 7943, expected_value: Total, label: employment type} + - {column: J, row: 7943, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7945 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7945, expected_value: E12000008, label: geography} + - {column: D, row: 7945, expected_value: Females, label: sex} + - {column: E, row: 7945, expected_value: Total, label: employment type} + - {column: J, row: 7945, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7947 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7947, expected_value: E12000008, label: geography} + - {column: D, row: 7947, expected_value: Females, label: sex} + - {column: E, row: 7947, expected_value: Total, label: employment type} + - {column: J, row: 7947, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7949 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7949, expected_value: E12000008, label: geography} + - {column: D, row: 7949, expected_value: Females, label: sex} + - {column: E, row: 7949, expected_value: Total, label: employment type} + - {column: J, row: 7949, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7951 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7951, expected_value: E12000008, label: geography} + - {column: D, row: 7951, expected_value: Females, label: sex} + - {column: E, row: 7951, expected_value: Total, label: employment type} + - {column: J, row: 7951, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7953 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7953, expected_value: E12000008, label: geography} + - {column: D, row: 7953, expected_value: Females, label: sex} + - {column: E, row: 7953, expected_value: Total, label: employment type} + - {column: J, row: 7953, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7955 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7955, expected_value: E12000008, label: geography} + - {column: D, row: 7955, expected_value: Females, label: sex} + - {column: E, row: 7955, expected_value: Total, label: employment type} + - {column: J, row: 7955, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7957 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7957, expected_value: E12000008, label: geography} + - {column: D, row: 7957, expected_value: Females, label: sex} + - {column: E, row: 7957, expected_value: Total, label: employment type} + - {column: J, row: 7957, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7959 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7959, expected_value: E12000008, label: geography} + - {column: D, row: 7959, expected_value: Females, label: sex} + - {column: E, row: 7959, expected_value: Total, label: employment type} + - {column: J, row: 7959, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7961 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7961, expected_value: E12000008, label: geography} + - {column: D, row: 7961, expected_value: Females, label: sex} + - {column: E, row: 7961, expected_value: Total, label: employment type} + - {column: J, row: 7961, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7965 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7965, expected_value: E12000008, label: geography} + - {column: D, row: 7965, expected_value: Females, label: sex} + - {column: E, row: 7965, expected_value: Total, label: employment type} + - {column: J, row: 7965, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7967 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7967, expected_value: E12000008, label: geography} + - {column: D, row: 7967, expected_value: Females, label: sex} + - {column: E, row: 7967, expected_value: Total, label: employment type} + - {column: J, row: 7967, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7969 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7969, expected_value: E12000008, label: geography} + - {column: D, row: 7969, expected_value: Females, label: sex} + - {column: E, row: 7969, expected_value: Total, label: employment type} + - {column: J, row: 7969, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7971 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7971, expected_value: E12000008, label: geography} + - {column: D, row: 7971, expected_value: Females, label: sex} + - {column: E, row: 7971, expected_value: Total, label: employment type} + - {column: J, row: 7971, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7973 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7973, expected_value: E12000008, label: geography} + - {column: D, row: 7973, expected_value: Females, label: sex} + - {column: E, row: 7973, expected_value: Total, label: employment type} + - {column: J, row: 7973, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7977 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7977, expected_value: E12000008, label: geography} + - {column: D, row: 7977, expected_value: Females, label: sex} + - {column: E, row: 7977, expected_value: Total, label: employment type} + - {column: J, row: 7977, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7979 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7979, expected_value: E12000008, label: geography} + - {column: D, row: 7979, expected_value: Females, label: sex} + - {column: E, row: 7979, expected_value: Total, label: employment type} + - {column: J, row: 7979, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7981 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7981, expected_value: E12000008, label: geography} + - {column: D, row: 7981, expected_value: Females, label: sex} + - {column: E, row: 7981, expected_value: Total, label: employment type} + - {column: J, row: 7981, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7983 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7983, expected_value: E12000008, label: geography} + - {column: D, row: 7983, expected_value: Females, label: sex} + - {column: E, row: 7983, expected_value: Total, label: employment type} + - {column: J, row: 7983, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7985 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7985, expected_value: E12000008, label: geography} + - {column: D, row: 7985, expected_value: Females, label: sex} + - {column: E, row: 7985, expected_value: Total, label: employment type} + - {column: J, row: 7985, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7987 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7987, expected_value: E12000008, label: geography} + - {column: D, row: 7987, expected_value: Females, label: sex} + - {column: E, row: 7987, expected_value: Total, label: employment type} + - {column: J, row: 7987, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7989 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7989, expected_value: E12000008, label: geography} + - {column: D, row: 7989, expected_value: Females, label: sex} + - {column: E, row: 7989, expected_value: Total, label: employment type} + - {column: J, row: 7989, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7991 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7991, expected_value: E12000008, label: geography} + - {column: D, row: 7991, expected_value: Females, label: sex} + - {column: E, row: 7991, expected_value: Total, label: employment type} + - {column: J, row: 7991, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7993 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7993, expected_value: E12000008, label: geography} + - {column: D, row: 7993, expected_value: Females, label: sex} + - {column: E, row: 7993, expected_value: Total, label: employment type} + - {column: J, row: 7993, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8138 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8138, expected_value: E12000008, label: geography} + - {column: D, row: 8138, expected_value: Females, label: sex} + - {column: E, row: 8138, expected_value: Employee, label: employment type} + - {column: J, row: 8138, expected_value: Value, label: measure} + - {column: L, row: 8139, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8140 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8140, expected_value: E12000008, label: geography} + - {column: D, row: 8140, expected_value: Females, label: sex} + - {column: E, row: 8140, expected_value: Employee, label: employment type} + - {column: J, row: 8140, expected_value: Value, label: measure} + - {column: L, row: 8141, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8142 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8142, expected_value: E12000008, label: geography} + - {column: D, row: 8142, expected_value: Females, label: sex} + - {column: E, row: 8142, expected_value: Employee, label: employment type} + - {column: J, row: 8142, expected_value: Value, label: measure} + - {column: L, row: 8143, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8144 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8144, expected_value: E12000008, label: geography} + - {column: D, row: 8144, expected_value: Females, label: sex} + - {column: E, row: 8144, expected_value: Employee, label: employment type} + - {column: J, row: 8144, expected_value: Value, label: measure} + - {column: L, row: 8145, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8146 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8146, expected_value: E12000008, label: geography} + - {column: D, row: 8146, expected_value: Females, label: sex} + - {column: E, row: 8146, expected_value: Employee, label: employment type} + - {column: J, row: 8146, expected_value: Value, label: measure} + - {column: L, row: 8147, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8148 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8148, expected_value: E12000008, label: geography} + - {column: D, row: 8148, expected_value: Females, label: sex} + - {column: E, row: 8148, expected_value: Employee, label: employment type} + - {column: J, row: 8148, expected_value: Value, label: measure} + - {column: L, row: 8149, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8150 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8150, expected_value: E12000008, label: geography} + - {column: D, row: 8150, expected_value: Females, label: sex} + - {column: E, row: 8150, expected_value: Employee, label: employment type} + - {column: J, row: 8150, expected_value: Value, label: measure} + - {column: L, row: 8151, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8152 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8152, expected_value: E12000008, label: geography} + - {column: D, row: 8152, expected_value: Females, label: sex} + - {column: E, row: 8152, expected_value: Employee, label: employment type} + - {column: J, row: 8152, expected_value: Value, label: measure} + - {column: L, row: 8153, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8154 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8154, expected_value: E12000008, label: geography} + - {column: D, row: 8154, expected_value: Females, label: sex} + - {column: E, row: 8154, expected_value: Employee, label: employment type} + - {column: J, row: 8154, expected_value: Value, label: measure} + - {column: L, row: 8155, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8156 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8156, expected_value: E12000008, label: geography} + - {column: D, row: 8156, expected_value: Females, label: sex} + - {column: E, row: 8156, expected_value: Employee, label: employment type} + - {column: J, row: 8156, expected_value: Value, label: measure} + - {column: L, row: 8157, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8158 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8158, expected_value: E12000008, label: geography} + - {column: D, row: 8158, expected_value: Females, label: sex} + - {column: E, row: 8158, expected_value: Employee, label: employment type} + - {column: J, row: 8158, expected_value: Value, label: measure} + - {column: L, row: 8159, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8160 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8160, expected_value: E12000008, label: geography} + - {column: D, row: 8160, expected_value: Females, label: sex} + - {column: E, row: 8160, expected_value: Employee, label: employment type} + - {column: J, row: 8160, expected_value: Value, label: measure} + - {column: L, row: 8161, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8162 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8162, expected_value: E12000008, label: geography} + - {column: D, row: 8162, expected_value: Females, label: sex} + - {column: E, row: 8162, expected_value: Employee, label: employment type} + - {column: J, row: 8162, expected_value: Value, label: measure} + - {column: L, row: 8163, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8164 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8164, expected_value: E12000008, label: geography} + - {column: D, row: 8164, expected_value: Females, label: sex} + - {column: E, row: 8164, expected_value: Employee, label: employment type} + - {column: J, row: 8164, expected_value: Value, label: measure} + - {column: L, row: 8165, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8166 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8166, expected_value: E12000008, label: geography} + - {column: D, row: 8166, expected_value: Females, label: sex} + - {column: E, row: 8166, expected_value: Employee, label: employment type} + - {column: J, row: 8166, expected_value: Value, label: measure} + - {column: L, row: 8167, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8168 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8168, expected_value: E12000008, label: geography} + - {column: D, row: 8168, expected_value: Females, label: sex} + - {column: E, row: 8168, expected_value: Employee, label: employment type} + - {column: J, row: 8168, expected_value: Value, label: measure} + - {column: L, row: 8169, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8170 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8170, expected_value: E12000008, label: geography} + - {column: D, row: 8170, expected_value: Females, label: sex} + - {column: E, row: 8170, expected_value: Employee, label: employment type} + - {column: J, row: 8170, expected_value: Value, label: measure} + - {column: L, row: 8171, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8172 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8172, expected_value: E12000008, label: geography} + - {column: D, row: 8172, expected_value: Females, label: sex} + - {column: E, row: 8172, expected_value: Employee, label: employment type} + - {column: J, row: 8172, expected_value: Value, label: measure} + - {column: L, row: 8173, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8174 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8174, expected_value: E12000008, label: geography} + - {column: D, row: 8174, expected_value: Females, label: sex} + - {column: E, row: 8174, expected_value: Employee, label: employment type} + - {column: J, row: 8174, expected_value: Value, label: measure} + - {column: L, row: 8175, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8176 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8176, expected_value: E12000008, label: geography} + - {column: D, row: 8176, expected_value: Females, label: sex} + - {column: E, row: 8176, expected_value: Employee, label: employment type} + - {column: J, row: 8176, expected_value: Value, label: measure} + - {column: L, row: 8177, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8178 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8178, expected_value: E12000008, label: geography} + - {column: D, row: 8178, expected_value: Females, label: sex} + - {column: E, row: 8178, expected_value: Employee, label: employment type} + - {column: J, row: 8178, expected_value: Value, label: measure} + - {column: L, row: 8179, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8180 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8180, expected_value: E12000008, label: geography} + - {column: D, row: 8180, expected_value: Females, label: sex} + - {column: E, row: 8180, expected_value: Employee, label: employment type} + - {column: J, row: 8180, expected_value: Value, label: measure} + - {column: L, row: 8181, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8182 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8182, expected_value: E12000008, label: geography} + - {column: D, row: 8182, expected_value: Females, label: sex} + - {column: E, row: 8182, expected_value: Employee, label: employment type} + - {column: J, row: 8182, expected_value: Value, label: measure} + - {column: L, row: 8183, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8184 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8184, expected_value: E12000008, label: geography} + - {column: D, row: 8184, expected_value: Females, label: sex} + - {column: E, row: 8184, expected_value: Employee, label: employment type} + - {column: J, row: 8184, expected_value: Value, label: measure} + - {column: L, row: 8185, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8186 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8186, expected_value: E12000008, label: geography} + - {column: D, row: 8186, expected_value: Females, label: sex} + - {column: E, row: 8186, expected_value: Employee, label: employment type} + - {column: J, row: 8186, expected_value: Value, label: measure} + - {column: L, row: 8187, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8188 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8188, expected_value: E12000008, label: geography} + - {column: D, row: 8188, expected_value: Females, label: sex} + - {column: E, row: 8188, expected_value: Employee, label: employment type} + - {column: J, row: 8188, expected_value: Value, label: measure} + - {column: L, row: 8189, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8190 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8190, expected_value: E12000008, label: geography} + - {column: D, row: 8190, expected_value: Females, label: sex} + - {column: E, row: 8190, expected_value: Employee, label: employment type} + - {column: J, row: 8190, expected_value: Value, label: measure} + - {column: L, row: 8191, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8192 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8192, expected_value: E12000008, label: geography} + - {column: D, row: 8192, expected_value: Females, label: sex} + - {column: E, row: 8192, expected_value: Employee, label: employment type} + - {column: J, row: 8192, expected_value: Value, label: measure} + - {column: L, row: 8193, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8194 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8194, expected_value: E12000008, label: geography} + - {column: D, row: 8194, expected_value: Females, label: sex} + - {column: E, row: 8194, expected_value: Employee, label: employment type} + - {column: J, row: 8194, expected_value: Value, label: measure} + - {column: L, row: 8195, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8196 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8196, expected_value: E12000008, label: geography} + - {column: D, row: 8196, expected_value: Females, label: sex} + - {column: E, row: 8196, expected_value: Employee, label: employment type} + - {column: J, row: 8196, expected_value: Value, label: measure} + - {column: L, row: 8197, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8198 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8198, expected_value: E12000008, label: geography} + - {column: D, row: 8198, expected_value: Females, label: sex} + - {column: E, row: 8198, expected_value: Employee, label: employment type} + - {column: J, row: 8198, expected_value: Value, label: measure} + - {column: L, row: 8199, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8200 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8200, expected_value: E12000008, label: geography} + - {column: D, row: 8200, expected_value: Females, label: sex} + - {column: E, row: 8200, expected_value: Employee, label: employment type} + - {column: J, row: 8200, expected_value: Value, label: measure} + - {column: L, row: 8201, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8202 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8202, expected_value: E12000008, label: geography} + - {column: D, row: 8202, expected_value: Females, label: sex} + - {column: E, row: 8202, expected_value: Employee, label: employment type} + - {column: J, row: 8202, expected_value: Value, label: measure} + - {column: L, row: 8203, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8204 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8204, expected_value: E12000008, label: geography} + - {column: D, row: 8204, expected_value: Females, label: sex} + - {column: E, row: 8204, expected_value: Employee, label: employment type} + - {column: J, row: 8204, expected_value: Value, label: measure} + - {column: L, row: 8205, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8206 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8206, expected_value: E12000008, label: geography} + - {column: D, row: 8206, expected_value: Females, label: sex} + - {column: E, row: 8206, expected_value: Employee, label: employment type} + - {column: J, row: 8206, expected_value: Value, label: measure} + - {column: L, row: 8207, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8208 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8208, expected_value: E12000008, label: geography} + - {column: D, row: 8208, expected_value: Females, label: sex} + - {column: E, row: 8208, expected_value: Employee, label: employment type} + - {column: J, row: 8208, expected_value: Value, label: measure} + - {column: L, row: 8209, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8139 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8139, expected_value: E12000008, label: geography} + - {column: D, row: 8139, expected_value: Females, label: sex} + - {column: E, row: 8139, expected_value: Employee, label: employment type} + - {column: J, row: 8139, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8141 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8141, expected_value: E12000008, label: geography} + - {column: D, row: 8141, expected_value: Females, label: sex} + - {column: E, row: 8141, expected_value: Employee, label: employment type} + - {column: J, row: 8141, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8143 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8143, expected_value: E12000008, label: geography} + - {column: D, row: 8143, expected_value: Females, label: sex} + - {column: E, row: 8143, expected_value: Employee, label: employment type} + - {column: J, row: 8143, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8145 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8145, expected_value: E12000008, label: geography} + - {column: D, row: 8145, expected_value: Females, label: sex} + - {column: E, row: 8145, expected_value: Employee, label: employment type} + - {column: J, row: 8145, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8147 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8147, expected_value: E12000008, label: geography} + - {column: D, row: 8147, expected_value: Females, label: sex} + - {column: E, row: 8147, expected_value: Employee, label: employment type} + - {column: J, row: 8147, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8149 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8149, expected_value: E12000008, label: geography} + - {column: D, row: 8149, expected_value: Females, label: sex} + - {column: E, row: 8149, expected_value: Employee, label: employment type} + - {column: J, row: 8149, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8151 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8151, expected_value: E12000008, label: geography} + - {column: D, row: 8151, expected_value: Females, label: sex} + - {column: E, row: 8151, expected_value: Employee, label: employment type} + - {column: J, row: 8151, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8153 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8153, expected_value: E12000008, label: geography} + - {column: D, row: 8153, expected_value: Females, label: sex} + - {column: E, row: 8153, expected_value: Employee, label: employment type} + - {column: J, row: 8153, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8155 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8155, expected_value: E12000008, label: geography} + - {column: D, row: 8155, expected_value: Females, label: sex} + - {column: E, row: 8155, expected_value: Employee, label: employment type} + - {column: J, row: 8155, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8157 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8157, expected_value: E12000008, label: geography} + - {column: D, row: 8157, expected_value: Females, label: sex} + - {column: E, row: 8157, expected_value: Employee, label: employment type} + - {column: J, row: 8157, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8159 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8159, expected_value: E12000008, label: geography} + - {column: D, row: 8159, expected_value: Females, label: sex} + - {column: E, row: 8159, expected_value: Employee, label: employment type} + - {column: J, row: 8159, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8161 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8161, expected_value: E12000008, label: geography} + - {column: D, row: 8161, expected_value: Females, label: sex} + - {column: E, row: 8161, expected_value: Employee, label: employment type} + - {column: J, row: 8161, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8163 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8163, expected_value: E12000008, label: geography} + - {column: D, row: 8163, expected_value: Females, label: sex} + - {column: E, row: 8163, expected_value: Employee, label: employment type} + - {column: J, row: 8163, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8165 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8165, expected_value: E12000008, label: geography} + - {column: D, row: 8165, expected_value: Females, label: sex} + - {column: E, row: 8165, expected_value: Employee, label: employment type} + - {column: J, row: 8165, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8167 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8167, expected_value: E12000008, label: geography} + - {column: D, row: 8167, expected_value: Females, label: sex} + - {column: E, row: 8167, expected_value: Employee, label: employment type} + - {column: J, row: 8167, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8169 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8169, expected_value: E12000008, label: geography} + - {column: D, row: 8169, expected_value: Females, label: sex} + - {column: E, row: 8169, expected_value: Employee, label: employment type} + - {column: J, row: 8169, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8171 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8171, expected_value: E12000008, label: geography} + - {column: D, row: 8171, expected_value: Females, label: sex} + - {column: E, row: 8171, expected_value: Employee, label: employment type} + - {column: J, row: 8171, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8173 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8173, expected_value: E12000008, label: geography} + - {column: D, row: 8173, expected_value: Females, label: sex} + - {column: E, row: 8173, expected_value: Employee, label: employment type} + - {column: J, row: 8173, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8175 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8175, expected_value: E12000008, label: geography} + - {column: D, row: 8175, expected_value: Females, label: sex} + - {column: E, row: 8175, expected_value: Employee, label: employment type} + - {column: J, row: 8175, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8183 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8183, expected_value: E12000008, label: geography} + - {column: D, row: 8183, expected_value: Females, label: sex} + - {column: E, row: 8183, expected_value: Employee, label: employment type} + - {column: J, row: 8183, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8185 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8185, expected_value: E12000008, label: geography} + - {column: D, row: 8185, expected_value: Females, label: sex} + - {column: E, row: 8185, expected_value: Employee, label: employment type} + - {column: J, row: 8185, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8187 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8187, expected_value: E12000008, label: geography} + - {column: D, row: 8187, expected_value: Females, label: sex} + - {column: E, row: 8187, expected_value: Employee, label: employment type} + - {column: J, row: 8187, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8189 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8189, expected_value: E12000008, label: geography} + - {column: D, row: 8189, expected_value: Females, label: sex} + - {column: E, row: 8189, expected_value: Employee, label: employment type} + - {column: J, row: 8189, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8193 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8193, expected_value: E12000008, label: geography} + - {column: D, row: 8193, expected_value: Females, label: sex} + - {column: E, row: 8193, expected_value: Employee, label: employment type} + - {column: J, row: 8193, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8195 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8195, expected_value: E12000008, label: geography} + - {column: D, row: 8195, expected_value: Females, label: sex} + - {column: E, row: 8195, expected_value: Employee, label: employment type} + - {column: J, row: 8195, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8197 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8197, expected_value: E12000008, label: geography} + - {column: D, row: 8197, expected_value: Females, label: sex} + - {column: E, row: 8197, expected_value: Employee, label: employment type} + - {column: J, row: 8197, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8199 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8199, expected_value: E12000008, label: geography} + - {column: D, row: 8199, expected_value: Females, label: sex} + - {column: E, row: 8199, expected_value: Employee, label: employment type} + - {column: J, row: 8199, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8201 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8201, expected_value: E12000008, label: geography} + - {column: D, row: 8201, expected_value: Females, label: sex} + - {column: E, row: 8201, expected_value: Employee, label: employment type} + - {column: J, row: 8201, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8203 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8203, expected_value: E12000008, label: geography} + - {column: D, row: 8203, expected_value: Females, label: sex} + - {column: E, row: 8203, expected_value: Employee, label: employment type} + - {column: J, row: 8203, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8205 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8205, expected_value: E12000008, label: geography} + - {column: D, row: 8205, expected_value: Females, label: sex} + - {column: E, row: 8205, expected_value: Employee, label: employment type} + - {column: J, row: 8205, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8207 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8207, expected_value: E12000008, label: geography} + - {column: D, row: 8207, expected_value: Females, label: sex} + - {column: E, row: 8207, expected_value: Employee, label: employment type} + - {column: J, row: 8207, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8209 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8209, expected_value: E12000008, label: geography} + - {column: D, row: 8209, expected_value: Females, label: sex} + - {column: E, row: 8209, expected_value: Employee, label: employment type} + - {column: J, row: 8209, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8354 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8354, expected_value: E12000008, label: geography} + - {column: D, row: 8354, expected_value: Females, label: sex} + - {column: E, row: 8354, expected_value: Self-employed, label: employment type} + - {column: J, row: 8354, expected_value: Value, label: measure} + - {column: L, row: 8355, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8356 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8356, expected_value: E12000008, label: geography} + - {column: D, row: 8356, expected_value: Females, label: sex} + - {column: E, row: 8356, expected_value: Self-employed, label: employment type} + - {column: J, row: 8356, expected_value: Value, label: measure} + - {column: L, row: 8357, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8358 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8358, expected_value: E12000008, label: geography} + - {column: D, row: 8358, expected_value: Females, label: sex} + - {column: E, row: 8358, expected_value: Self-employed, label: employment type} + - {column: J, row: 8358, expected_value: Value, label: measure} + - {column: L, row: 8359, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8360 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8360, expected_value: E12000008, label: geography} + - {column: D, row: 8360, expected_value: Females, label: sex} + - {column: E, row: 8360, expected_value: Self-employed, label: employment type} + - {column: J, row: 8360, expected_value: Value, label: measure} + - {column: L, row: 8361, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8362 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8362, expected_value: E12000008, label: geography} + - {column: D, row: 8362, expected_value: Females, label: sex} + - {column: E, row: 8362, expected_value: Self-employed, label: employment type} + - {column: J, row: 8362, expected_value: Value, label: measure} + - {column: L, row: 8363, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8364 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8364, expected_value: E12000008, label: geography} + - {column: D, row: 8364, expected_value: Females, label: sex} + - {column: E, row: 8364, expected_value: Self-employed, label: employment type} + - {column: J, row: 8364, expected_value: Value, label: measure} + - {column: L, row: 8365, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8366 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8366, expected_value: E12000008, label: geography} + - {column: D, row: 8366, expected_value: Females, label: sex} + - {column: E, row: 8366, expected_value: Self-employed, label: employment type} + - {column: J, row: 8366, expected_value: Value, label: measure} + - {column: L, row: 8367, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8368 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8368, expected_value: E12000008, label: geography} + - {column: D, row: 8368, expected_value: Females, label: sex} + - {column: E, row: 8368, expected_value: Self-employed, label: employment type} + - {column: J, row: 8368, expected_value: Value, label: measure} + - {column: L, row: 8369, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8370 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8370, expected_value: E12000008, label: geography} + - {column: D, row: 8370, expected_value: Females, label: sex} + - {column: E, row: 8370, expected_value: Self-employed, label: employment type} + - {column: J, row: 8370, expected_value: Value, label: measure} + - {column: L, row: 8371, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8372 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8372, expected_value: E12000008, label: geography} + - {column: D, row: 8372, expected_value: Females, label: sex} + - {column: E, row: 8372, expected_value: Self-employed, label: employment type} + - {column: J, row: 8372, expected_value: Value, label: measure} + - {column: L, row: 8373, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8376 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8376, expected_value: E12000008, label: geography} + - {column: D, row: 8376, expected_value: Females, label: sex} + - {column: E, row: 8376, expected_value: Self-employed, label: employment type} + - {column: J, row: 8376, expected_value: Value, label: measure} + - {column: L, row: 8377, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8380 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8380, expected_value: E12000008, label: geography} + - {column: D, row: 8380, expected_value: Females, label: sex} + - {column: E, row: 8380, expected_value: Self-employed, label: employment type} + - {column: J, row: 8380, expected_value: Value, label: measure} + - {column: L, row: 8381, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8382 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8382, expected_value: E12000008, label: geography} + - {column: D, row: 8382, expected_value: Females, label: sex} + - {column: E, row: 8382, expected_value: Self-employed, label: employment type} + - {column: J, row: 8382, expected_value: Value, label: measure} + - {column: L, row: 8383, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8384 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8384, expected_value: E12000008, label: geography} + - {column: D, row: 8384, expected_value: Females, label: sex} + - {column: E, row: 8384, expected_value: Self-employed, label: employment type} + - {column: J, row: 8384, expected_value: Value, label: measure} + - {column: L, row: 8385, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8386 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8386, expected_value: E12000008, label: geography} + - {column: D, row: 8386, expected_value: Females, label: sex} + - {column: E, row: 8386, expected_value: Self-employed, label: employment type} + - {column: J, row: 8386, expected_value: Value, label: measure} + - {column: L, row: 8387, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8388 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8388, expected_value: E12000008, label: geography} + - {column: D, row: 8388, expected_value: Females, label: sex} + - {column: E, row: 8388, expected_value: Self-employed, label: employment type} + - {column: J, row: 8388, expected_value: Value, label: measure} + - {column: L, row: 8389, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8390 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8390, expected_value: E12000008, label: geography} + - {column: D, row: 8390, expected_value: Females, label: sex} + - {column: E, row: 8390, expected_value: Self-employed, label: employment type} + - {column: J, row: 8390, expected_value: Value, label: measure} + - {column: L, row: 8391, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8392 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8392, expected_value: E12000008, label: geography} + - {column: D, row: 8392, expected_value: Females, label: sex} + - {column: E, row: 8392, expected_value: Self-employed, label: employment type} + - {column: J, row: 8392, expected_value: Value, label: measure} + - {column: L, row: 8393, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8396 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8396, expected_value: E12000008, label: geography} + - {column: D, row: 8396, expected_value: Females, label: sex} + - {column: E, row: 8396, expected_value: Self-employed, label: employment type} + - {column: J, row: 8396, expected_value: Value, label: measure} + - {column: L, row: 8397, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8398 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8398, expected_value: E12000008, label: geography} + - {column: D, row: 8398, expected_value: Females, label: sex} + - {column: E, row: 8398, expected_value: Self-employed, label: employment type} + - {column: J, row: 8398, expected_value: Value, label: measure} + - {column: L, row: 8399, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8400 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8400, expected_value: E12000008, label: geography} + - {column: D, row: 8400, expected_value: Females, label: sex} + - {column: E, row: 8400, expected_value: Self-employed, label: employment type} + - {column: J, row: 8400, expected_value: Value, label: measure} + - {column: L, row: 8401, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8402 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8402, expected_value: E12000008, label: geography} + - {column: D, row: 8402, expected_value: Females, label: sex} + - {column: E, row: 8402, expected_value: Self-employed, label: employment type} + - {column: J, row: 8402, expected_value: Value, label: measure} + - {column: L, row: 8403, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8404 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8404, expected_value: E12000008, label: geography} + - {column: D, row: 8404, expected_value: Females, label: sex} + - {column: E, row: 8404, expected_value: Self-employed, label: employment type} + - {column: J, row: 8404, expected_value: Value, label: measure} + - {column: L, row: 8405, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8408 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8408, expected_value: E12000008, label: geography} + - {column: D, row: 8408, expected_value: Females, label: sex} + - {column: E, row: 8408, expected_value: Self-employed, label: employment type} + - {column: J, row: 8408, expected_value: Value, label: measure} + - {column: L, row: 8409, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8410 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8410, expected_value: E12000008, label: geography} + - {column: D, row: 8410, expected_value: Females, label: sex} + - {column: E, row: 8410, expected_value: Self-employed, label: employment type} + - {column: J, row: 8410, expected_value: Value, label: measure} + - {column: L, row: 8411, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8412 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8412, expected_value: E12000008, label: geography} + - {column: D, row: 8412, expected_value: Females, label: sex} + - {column: E, row: 8412, expected_value: Self-employed, label: employment type} + - {column: J, row: 8412, expected_value: Value, label: measure} + - {column: L, row: 8413, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8414 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8414, expected_value: E12000008, label: geography} + - {column: D, row: 8414, expected_value: Females, label: sex} + - {column: E, row: 8414, expected_value: Self-employed, label: employment type} + - {column: J, row: 8414, expected_value: Value, label: measure} + - {column: L, row: 8415, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8416 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8416, expected_value: E12000008, label: geography} + - {column: D, row: 8416, expected_value: Females, label: sex} + - {column: E, row: 8416, expected_value: Self-employed, label: employment type} + - {column: J, row: 8416, expected_value: Value, label: measure} + - {column: L, row: 8417, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8418 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8418, expected_value: E12000008, label: geography} + - {column: D, row: 8418, expected_value: Females, label: sex} + - {column: E, row: 8418, expected_value: Self-employed, label: employment type} + - {column: J, row: 8418, expected_value: Value, label: measure} + - {column: L, row: 8419, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8420 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8420, expected_value: E12000008, label: geography} + - {column: D, row: 8420, expected_value: Females, label: sex} + - {column: E, row: 8420, expected_value: Self-employed, label: employment type} + - {column: J, row: 8420, expected_value: Value, label: measure} + - {column: L, row: 8421, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8424 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8424, expected_value: E12000008, label: geography} + - {column: D, row: 8424, expected_value: Females, label: sex} + - {column: E, row: 8424, expected_value: Self-employed, label: employment type} + - {column: J, row: 8424, expected_value: Value, label: measure} + - {column: L, row: 8425, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000008.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8355 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8355, expected_value: E12000008, label: geography} + - {column: D, row: 8355, expected_value: Females, label: sex} + - {column: E, row: 8355, expected_value: Self-employed, label: employment type} + - {column: J, row: 8355, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8357 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8357, expected_value: E12000008, label: geography} + - {column: D, row: 8357, expected_value: Females, label: sex} + - {column: E, row: 8357, expected_value: Self-employed, label: employment type} + - {column: J, row: 8357, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8359 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8359, expected_value: E12000008, label: geography} + - {column: D, row: 8359, expected_value: Females, label: sex} + - {column: E, row: 8359, expected_value: Self-employed, label: employment type} + - {column: J, row: 8359, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8361 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8361, expected_value: E12000008, label: geography} + - {column: D, row: 8361, expected_value: Females, label: sex} + - {column: E, row: 8361, expected_value: Self-employed, label: employment type} + - {column: J, row: 8361, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8363 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8363, expected_value: E12000008, label: geography} + - {column: D, row: 8363, expected_value: Females, label: sex} + - {column: E, row: 8363, expected_value: Self-employed, label: employment type} + - {column: J, row: 8363, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8365 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8365, expected_value: E12000008, label: geography} + - {column: D, row: 8365, expected_value: Females, label: sex} + - {column: E, row: 8365, expected_value: Self-employed, label: employment type} + - {column: J, row: 8365, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8367 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8367, expected_value: E12000008, label: geography} + - {column: D, row: 8367, expected_value: Females, label: sex} + - {column: E, row: 8367, expected_value: Self-employed, label: employment type} + - {column: J, row: 8367, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8369 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8369, expected_value: E12000008, label: geography} + - {column: D, row: 8369, expected_value: Females, label: sex} + - {column: E, row: 8369, expected_value: Self-employed, label: employment type} + - {column: J, row: 8369, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8371 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8371, expected_value: E12000008, label: geography} + - {column: D, row: 8371, expected_value: Females, label: sex} + - {column: E, row: 8371, expected_value: Self-employed, label: employment type} + - {column: J, row: 8371, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8373 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8373, expected_value: E12000008, label: geography} + - {column: D, row: 8373, expected_value: Females, label: sex} + - {column: E, row: 8373, expected_value: Self-employed, label: employment type} + - {column: J, row: 8373, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8377 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8377, expected_value: E12000008, label: geography} + - {column: D, row: 8377, expected_value: Females, label: sex} + - {column: E, row: 8377, expected_value: Self-employed, label: employment type} + - {column: J, row: 8377, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8381 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8381, expected_value: E12000008, label: geography} + - {column: D, row: 8381, expected_value: Females, label: sex} + - {column: E, row: 8381, expected_value: Self-employed, label: employment type} + - {column: J, row: 8381, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8383 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8383, expected_value: E12000008, label: geography} + - {column: D, row: 8383, expected_value: Females, label: sex} + - {column: E, row: 8383, expected_value: Self-employed, label: employment type} + - {column: J, row: 8383, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8385 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8385, expected_value: E12000008, label: geography} + - {column: D, row: 8385, expected_value: Females, label: sex} + - {column: E, row: 8385, expected_value: Self-employed, label: employment type} + - {column: J, row: 8385, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8387 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8387, expected_value: E12000008, label: geography} + - {column: D, row: 8387, expected_value: Females, label: sex} + - {column: E, row: 8387, expected_value: Self-employed, label: employment type} + - {column: J, row: 8387, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8389 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8389, expected_value: E12000008, label: geography} + - {column: D, row: 8389, expected_value: Females, label: sex} + - {column: E, row: 8389, expected_value: Self-employed, label: employment type} + - {column: J, row: 8389, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8391 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8391, expected_value: E12000008, label: geography} + - {column: D, row: 8391, expected_value: Females, label: sex} + - {column: E, row: 8391, expected_value: Self-employed, label: employment type} + - {column: J, row: 8391, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8393 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8393, expected_value: E12000008, label: geography} + - {column: D, row: 8393, expected_value: Females, label: sex} + - {column: E, row: 8393, expected_value: Self-employed, label: employment type} + - {column: J, row: 8393, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8399 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8399, expected_value: E12000008, label: geography} + - {column: D, row: 8399, expected_value: Females, label: sex} + - {column: E, row: 8399, expected_value: Self-employed, label: employment type} + - {column: J, row: 8399, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8401 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8401, expected_value: E12000008, label: geography} + - {column: D, row: 8401, expected_value: Females, label: sex} + - {column: E, row: 8401, expected_value: Self-employed, label: employment type} + - {column: J, row: 8401, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8403 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8403, expected_value: E12000008, label: geography} + - {column: D, row: 8403, expected_value: Females, label: sex} + - {column: E, row: 8403, expected_value: Self-employed, label: employment type} + - {column: J, row: 8403, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8405 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8405, expected_value: E12000008, label: geography} + - {column: D, row: 8405, expected_value: Females, label: sex} + - {column: E, row: 8405, expected_value: Self-employed, label: employment type} + - {column: J, row: 8405, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8409 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8409, expected_value: E12000008, label: geography} + - {column: D, row: 8409, expected_value: Females, label: sex} + - {column: E, row: 8409, expected_value: Self-employed, label: employment type} + - {column: J, row: 8409, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8411 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8411, expected_value: E12000008, label: geography} + - {column: D, row: 8411, expected_value: Females, label: sex} + - {column: E, row: 8411, expected_value: Self-employed, label: employment type} + - {column: J, row: 8411, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8415 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8415, expected_value: E12000008, label: geography} + - {column: D, row: 8415, expected_value: Females, label: sex} + - {column: E, row: 8415, expected_value: Self-employed, label: employment type} + - {column: J, row: 8415, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8421 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8421, expected_value: E12000008, label: geography} + - {column: D, row: 8421, expected_value: Females, label: sex} + - {column: E, row: 8421, expected_value: Self-employed, label: employment type} + - {column: J, row: 8421, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8425 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8425, expected_value: E12000008, label: geography} + - {column: D, row: 8425, expected_value: Females, label: sex} + - {column: E, row: 8425, expected_value: Self-employed, label: employment type} + - {column: J, row: 8425, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8426 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8426, expected_value: E12000009, label: geography} + - {column: D, row: 8426, expected_value: All persons, label: sex} + - {column: E, row: 8426, expected_value: Total, label: employment type} + - {column: J, row: 8426, expected_value: Value, label: measure} + - {column: L, row: 8427, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8428 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8428, expected_value: E12000009, label: geography} + - {column: D, row: 8428, expected_value: All persons, label: sex} + - {column: E, row: 8428, expected_value: Total, label: employment type} + - {column: J, row: 8428, expected_value: Value, label: measure} + - {column: L, row: 8429, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8430 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8430, expected_value: E12000009, label: geography} + - {column: D, row: 8430, expected_value: All persons, label: sex} + - {column: E, row: 8430, expected_value: Total, label: employment type} + - {column: J, row: 8430, expected_value: Value, label: measure} + - {column: L, row: 8431, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8432 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8432, expected_value: E12000009, label: geography} + - {column: D, row: 8432, expected_value: All persons, label: sex} + - {column: E, row: 8432, expected_value: Total, label: employment type} + - {column: J, row: 8432, expected_value: Value, label: measure} + - {column: L, row: 8433, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8434 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8434, expected_value: E12000009, label: geography} + - {column: D, row: 8434, expected_value: All persons, label: sex} + - {column: E, row: 8434, expected_value: Total, label: employment type} + - {column: J, row: 8434, expected_value: Value, label: measure} + - {column: L, row: 8435, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8436 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8436, expected_value: E12000009, label: geography} + - {column: D, row: 8436, expected_value: All persons, label: sex} + - {column: E, row: 8436, expected_value: Total, label: employment type} + - {column: J, row: 8436, expected_value: Value, label: measure} + - {column: L, row: 8437, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8438 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8438, expected_value: E12000009, label: geography} + - {column: D, row: 8438, expected_value: All persons, label: sex} + - {column: E, row: 8438, expected_value: Total, label: employment type} + - {column: J, row: 8438, expected_value: Value, label: measure} + - {column: L, row: 8439, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8440 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8440, expected_value: E12000009, label: geography} + - {column: D, row: 8440, expected_value: All persons, label: sex} + - {column: E, row: 8440, expected_value: Total, label: employment type} + - {column: J, row: 8440, expected_value: Value, label: measure} + - {column: L, row: 8441, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8442 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8442, expected_value: E12000009, label: geography} + - {column: D, row: 8442, expected_value: All persons, label: sex} + - {column: E, row: 8442, expected_value: Total, label: employment type} + - {column: J, row: 8442, expected_value: Value, label: measure} + - {column: L, row: 8443, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8444 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8444, expected_value: E12000009, label: geography} + - {column: D, row: 8444, expected_value: All persons, label: sex} + - {column: E, row: 8444, expected_value: Total, label: employment type} + - {column: J, row: 8444, expected_value: Value, label: measure} + - {column: L, row: 8445, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8446 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8446, expected_value: E12000009, label: geography} + - {column: D, row: 8446, expected_value: All persons, label: sex} + - {column: E, row: 8446, expected_value: Total, label: employment type} + - {column: J, row: 8446, expected_value: Value, label: measure} + - {column: L, row: 8447, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8448 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8448, expected_value: E12000009, label: geography} + - {column: D, row: 8448, expected_value: All persons, label: sex} + - {column: E, row: 8448, expected_value: Total, label: employment type} + - {column: J, row: 8448, expected_value: Value, label: measure} + - {column: L, row: 8449, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8450 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8450, expected_value: E12000009, label: geography} + - {column: D, row: 8450, expected_value: All persons, label: sex} + - {column: E, row: 8450, expected_value: Total, label: employment type} + - {column: J, row: 8450, expected_value: Value, label: measure} + - {column: L, row: 8451, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8452 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8452, expected_value: E12000009, label: geography} + - {column: D, row: 8452, expected_value: All persons, label: sex} + - {column: E, row: 8452, expected_value: Total, label: employment type} + - {column: J, row: 8452, expected_value: Value, label: measure} + - {column: L, row: 8453, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8454 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8454, expected_value: E12000009, label: geography} + - {column: D, row: 8454, expected_value: All persons, label: sex} + - {column: E, row: 8454, expected_value: Total, label: employment type} + - {column: J, row: 8454, expected_value: Value, label: measure} + - {column: L, row: 8455, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8456 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8456, expected_value: E12000009, label: geography} + - {column: D, row: 8456, expected_value: All persons, label: sex} + - {column: E, row: 8456, expected_value: Total, label: employment type} + - {column: J, row: 8456, expected_value: Value, label: measure} + - {column: L, row: 8457, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8458 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8458, expected_value: E12000009, label: geography} + - {column: D, row: 8458, expected_value: All persons, label: sex} + - {column: E, row: 8458, expected_value: Total, label: employment type} + - {column: J, row: 8458, expected_value: Value, label: measure} + - {column: L, row: 8459, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8460 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8460, expected_value: E12000009, label: geography} + - {column: D, row: 8460, expected_value: All persons, label: sex} + - {column: E, row: 8460, expected_value: Total, label: employment type} + - {column: J, row: 8460, expected_value: Value, label: measure} + - {column: L, row: 8461, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8462 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8462, expected_value: E12000009, label: geography} + - {column: D, row: 8462, expected_value: All persons, label: sex} + - {column: E, row: 8462, expected_value: Total, label: employment type} + - {column: J, row: 8462, expected_value: Value, label: measure} + - {column: L, row: 8463, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8464 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8464, expected_value: E12000009, label: geography} + - {column: D, row: 8464, expected_value: All persons, label: sex} + - {column: E, row: 8464, expected_value: Total, label: employment type} + - {column: J, row: 8464, expected_value: Value, label: measure} + - {column: L, row: 8465, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8466 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8466, expected_value: E12000009, label: geography} + - {column: D, row: 8466, expected_value: All persons, label: sex} + - {column: E, row: 8466, expected_value: Total, label: employment type} + - {column: J, row: 8466, expected_value: Value, label: measure} + - {column: L, row: 8467, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8468 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8468, expected_value: E12000009, label: geography} + - {column: D, row: 8468, expected_value: All persons, label: sex} + - {column: E, row: 8468, expected_value: Total, label: employment type} + - {column: J, row: 8468, expected_value: Value, label: measure} + - {column: L, row: 8469, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8470 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8470, expected_value: E12000009, label: geography} + - {column: D, row: 8470, expected_value: All persons, label: sex} + - {column: E, row: 8470, expected_value: Total, label: employment type} + - {column: J, row: 8470, expected_value: Value, label: measure} + - {column: L, row: 8471, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8472 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8472, expected_value: E12000009, label: geography} + - {column: D, row: 8472, expected_value: All persons, label: sex} + - {column: E, row: 8472, expected_value: Total, label: employment type} + - {column: J, row: 8472, expected_value: Value, label: measure} + - {column: L, row: 8473, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8474 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8474, expected_value: E12000009, label: geography} + - {column: D, row: 8474, expected_value: All persons, label: sex} + - {column: E, row: 8474, expected_value: Total, label: employment type} + - {column: J, row: 8474, expected_value: Value, label: measure} + - {column: L, row: 8475, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8476 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8476, expected_value: E12000009, label: geography} + - {column: D, row: 8476, expected_value: All persons, label: sex} + - {column: E, row: 8476, expected_value: Total, label: employment type} + - {column: J, row: 8476, expected_value: Value, label: measure} + - {column: L, row: 8477, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8478 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8478, expected_value: E12000009, label: geography} + - {column: D, row: 8478, expected_value: All persons, label: sex} + - {column: E, row: 8478, expected_value: Total, label: employment type} + - {column: J, row: 8478, expected_value: Value, label: measure} + - {column: L, row: 8479, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8480 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8480, expected_value: E12000009, label: geography} + - {column: D, row: 8480, expected_value: All persons, label: sex} + - {column: E, row: 8480, expected_value: Total, label: employment type} + - {column: J, row: 8480, expected_value: Value, label: measure} + - {column: L, row: 8481, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8482 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8482, expected_value: E12000009, label: geography} + - {column: D, row: 8482, expected_value: All persons, label: sex} + - {column: E, row: 8482, expected_value: Total, label: employment type} + - {column: J, row: 8482, expected_value: Value, label: measure} + - {column: L, row: 8483, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8484 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8484, expected_value: E12000009, label: geography} + - {column: D, row: 8484, expected_value: All persons, label: sex} + - {column: E, row: 8484, expected_value: Total, label: employment type} + - {column: J, row: 8484, expected_value: Value, label: measure} + - {column: L, row: 8485, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8486 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8486, expected_value: E12000009, label: geography} + - {column: D, row: 8486, expected_value: All persons, label: sex} + - {column: E, row: 8486, expected_value: Total, label: employment type} + - {column: J, row: 8486, expected_value: Value, label: measure} + - {column: L, row: 8487, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8488 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8488, expected_value: E12000009, label: geography} + - {column: D, row: 8488, expected_value: All persons, label: sex} + - {column: E, row: 8488, expected_value: Total, label: employment type} + - {column: J, row: 8488, expected_value: Value, label: measure} + - {column: L, row: 8489, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8490 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8490, expected_value: E12000009, label: geography} + - {column: D, row: 8490, expected_value: All persons, label: sex} + - {column: E, row: 8490, expected_value: Total, label: employment type} + - {column: J, row: 8490, expected_value: Value, label: measure} + - {column: L, row: 8491, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8492 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8492, expected_value: E12000009, label: geography} + - {column: D, row: 8492, expected_value: All persons, label: sex} + - {column: E, row: 8492, expected_value: Total, label: employment type} + - {column: J, row: 8492, expected_value: Value, label: measure} + - {column: L, row: 8493, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8494 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8494, expected_value: E12000009, label: geography} + - {column: D, row: 8494, expected_value: All persons, label: sex} + - {column: E, row: 8494, expected_value: Total, label: employment type} + - {column: J, row: 8494, expected_value: Value, label: measure} + - {column: L, row: 8495, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8496 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8496, expected_value: E12000009, label: geography} + - {column: D, row: 8496, expected_value: All persons, label: sex} + - {column: E, row: 8496, expected_value: Total, label: employment type} + - {column: J, row: 8496, expected_value: Value, label: measure} + - {column: L, row: 8497, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8427 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8427, expected_value: E12000009, label: geography} + - {column: D, row: 8427, expected_value: All persons, label: sex} + - {column: E, row: 8427, expected_value: Total, label: employment type} + - {column: J, row: 8427, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8429 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8429, expected_value: E12000009, label: geography} + - {column: D, row: 8429, expected_value: All persons, label: sex} + - {column: E, row: 8429, expected_value: Total, label: employment type} + - {column: J, row: 8429, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8431 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8431, expected_value: E12000009, label: geography} + - {column: D, row: 8431, expected_value: All persons, label: sex} + - {column: E, row: 8431, expected_value: Total, label: employment type} + - {column: J, row: 8431, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8433 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8433, expected_value: E12000009, label: geography} + - {column: D, row: 8433, expected_value: All persons, label: sex} + - {column: E, row: 8433, expected_value: Total, label: employment type} + - {column: J, row: 8433, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8435 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8435, expected_value: E12000009, label: geography} + - {column: D, row: 8435, expected_value: All persons, label: sex} + - {column: E, row: 8435, expected_value: Total, label: employment type} + - {column: J, row: 8435, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8437 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8437, expected_value: E12000009, label: geography} + - {column: D, row: 8437, expected_value: All persons, label: sex} + - {column: E, row: 8437, expected_value: Total, label: employment type} + - {column: J, row: 8437, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8439 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8439, expected_value: E12000009, label: geography} + - {column: D, row: 8439, expected_value: All persons, label: sex} + - {column: E, row: 8439, expected_value: Total, label: employment type} + - {column: J, row: 8439, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8441 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8441, expected_value: E12000009, label: geography} + - {column: D, row: 8441, expected_value: All persons, label: sex} + - {column: E, row: 8441, expected_value: Total, label: employment type} + - {column: J, row: 8441, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8443 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8443, expected_value: E12000009, label: geography} + - {column: D, row: 8443, expected_value: All persons, label: sex} + - {column: E, row: 8443, expected_value: Total, label: employment type} + - {column: J, row: 8443, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8445 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8445, expected_value: E12000009, label: geography} + - {column: D, row: 8445, expected_value: All persons, label: sex} + - {column: E, row: 8445, expected_value: Total, label: employment type} + - {column: J, row: 8445, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8447 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8447, expected_value: E12000009, label: geography} + - {column: D, row: 8447, expected_value: All persons, label: sex} + - {column: E, row: 8447, expected_value: Total, label: employment type} + - {column: J, row: 8447, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8449 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8449, expected_value: E12000009, label: geography} + - {column: D, row: 8449, expected_value: All persons, label: sex} + - {column: E, row: 8449, expected_value: Total, label: employment type} + - {column: J, row: 8449, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8451 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8451, expected_value: E12000009, label: geography} + - {column: D, row: 8451, expected_value: All persons, label: sex} + - {column: E, row: 8451, expected_value: Total, label: employment type} + - {column: J, row: 8451, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8453 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8453, expected_value: E12000009, label: geography} + - {column: D, row: 8453, expected_value: All persons, label: sex} + - {column: E, row: 8453, expected_value: Total, label: employment type} + - {column: J, row: 8453, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8455 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8455, expected_value: E12000009, label: geography} + - {column: D, row: 8455, expected_value: All persons, label: sex} + - {column: E, row: 8455, expected_value: Total, label: employment type} + - {column: J, row: 8455, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8457 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8457, expected_value: E12000009, label: geography} + - {column: D, row: 8457, expected_value: All persons, label: sex} + - {column: E, row: 8457, expected_value: Total, label: employment type} + - {column: J, row: 8457, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8459 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8459, expected_value: E12000009, label: geography} + - {column: D, row: 8459, expected_value: All persons, label: sex} + - {column: E, row: 8459, expected_value: Total, label: employment type} + - {column: J, row: 8459, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8461 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8461, expected_value: E12000009, label: geography} + - {column: D, row: 8461, expected_value: All persons, label: sex} + - {column: E, row: 8461, expected_value: Total, label: employment type} + - {column: J, row: 8461, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8463 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8463, expected_value: E12000009, label: geography} + - {column: D, row: 8463, expected_value: All persons, label: sex} + - {column: E, row: 8463, expected_value: Total, label: employment type} + - {column: J, row: 8463, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8465 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8465, expected_value: E12000009, label: geography} + - {column: D, row: 8465, expected_value: All persons, label: sex} + - {column: E, row: 8465, expected_value: Total, label: employment type} + - {column: J, row: 8465, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8467 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8467, expected_value: E12000009, label: geography} + - {column: D, row: 8467, expected_value: All persons, label: sex} + - {column: E, row: 8467, expected_value: Total, label: employment type} + - {column: J, row: 8467, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8469 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8469, expected_value: E12000009, label: geography} + - {column: D, row: 8469, expected_value: All persons, label: sex} + - {column: E, row: 8469, expected_value: Total, label: employment type} + - {column: J, row: 8469, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8471 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8471, expected_value: E12000009, label: geography} + - {column: D, row: 8471, expected_value: All persons, label: sex} + - {column: E, row: 8471, expected_value: Total, label: employment type} + - {column: J, row: 8471, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8473 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8473, expected_value: E12000009, label: geography} + - {column: D, row: 8473, expected_value: All persons, label: sex} + - {column: E, row: 8473, expected_value: Total, label: employment type} + - {column: J, row: 8473, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8475 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8475, expected_value: E12000009, label: geography} + - {column: D, row: 8475, expected_value: All persons, label: sex} + - {column: E, row: 8475, expected_value: Total, label: employment type} + - {column: J, row: 8475, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8477 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8477, expected_value: E12000009, label: geography} + - {column: D, row: 8477, expected_value: All persons, label: sex} + - {column: E, row: 8477, expected_value: Total, label: employment type} + - {column: J, row: 8477, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8481 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8481, expected_value: E12000009, label: geography} + - {column: D, row: 8481, expected_value: All persons, label: sex} + - {column: E, row: 8481, expected_value: Total, label: employment type} + - {column: J, row: 8481, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8483 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8483, expected_value: E12000009, label: geography} + - {column: D, row: 8483, expected_value: All persons, label: sex} + - {column: E, row: 8483, expected_value: Total, label: employment type} + - {column: J, row: 8483, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8485 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8485, expected_value: E12000009, label: geography} + - {column: D, row: 8485, expected_value: All persons, label: sex} + - {column: E, row: 8485, expected_value: Total, label: employment type} + - {column: J, row: 8485, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8487 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8487, expected_value: E12000009, label: geography} + - {column: D, row: 8487, expected_value: All persons, label: sex} + - {column: E, row: 8487, expected_value: Total, label: employment type} + - {column: J, row: 8487, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8489 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8489, expected_value: E12000009, label: geography} + - {column: D, row: 8489, expected_value: All persons, label: sex} + - {column: E, row: 8489, expected_value: Total, label: employment type} + - {column: J, row: 8489, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8491 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8491, expected_value: E12000009, label: geography} + - {column: D, row: 8491, expected_value: All persons, label: sex} + - {column: E, row: 8491, expected_value: Total, label: employment type} + - {column: J, row: 8491, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8493 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8493, expected_value: E12000009, label: geography} + - {column: D, row: 8493, expected_value: All persons, label: sex} + - {column: E, row: 8493, expected_value: Total, label: employment type} + - {column: J, row: 8493, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8495 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8495, expected_value: E12000009, label: geography} + - {column: D, row: 8495, expected_value: All persons, label: sex} + - {column: E, row: 8495, expected_value: Total, label: employment type} + - {column: J, row: 8495, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8497 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8497, expected_value: E12000009, label: geography} + - {column: D, row: 8497, expected_value: All persons, label: sex} + - {column: E, row: 8497, expected_value: Total, label: employment type} + - {column: J, row: 8497, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8642 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8642, expected_value: E12000009, label: geography} + - {column: D, row: 8642, expected_value: All persons, label: sex} + - {column: E, row: 8642, expected_value: Employee, label: employment type} + - {column: J, row: 8642, expected_value: Value, label: measure} + - {column: L, row: 8643, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8644 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8644, expected_value: E12000009, label: geography} + - {column: D, row: 8644, expected_value: All persons, label: sex} + - {column: E, row: 8644, expected_value: Employee, label: employment type} + - {column: J, row: 8644, expected_value: Value, label: measure} + - {column: L, row: 8645, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8646 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8646, expected_value: E12000009, label: geography} + - {column: D, row: 8646, expected_value: All persons, label: sex} + - {column: E, row: 8646, expected_value: Employee, label: employment type} + - {column: J, row: 8646, expected_value: Value, label: measure} + - {column: L, row: 8647, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8648 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8648, expected_value: E12000009, label: geography} + - {column: D, row: 8648, expected_value: All persons, label: sex} + - {column: E, row: 8648, expected_value: Employee, label: employment type} + - {column: J, row: 8648, expected_value: Value, label: measure} + - {column: L, row: 8649, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8650 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8650, expected_value: E12000009, label: geography} + - {column: D, row: 8650, expected_value: All persons, label: sex} + - {column: E, row: 8650, expected_value: Employee, label: employment type} + - {column: J, row: 8650, expected_value: Value, label: measure} + - {column: L, row: 8651, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8652 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8652, expected_value: E12000009, label: geography} + - {column: D, row: 8652, expected_value: All persons, label: sex} + - {column: E, row: 8652, expected_value: Employee, label: employment type} + - {column: J, row: 8652, expected_value: Value, label: measure} + - {column: L, row: 8653, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8654 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8654, expected_value: E12000009, label: geography} + - {column: D, row: 8654, expected_value: All persons, label: sex} + - {column: E, row: 8654, expected_value: Employee, label: employment type} + - {column: J, row: 8654, expected_value: Value, label: measure} + - {column: L, row: 8655, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8656 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8656, expected_value: E12000009, label: geography} + - {column: D, row: 8656, expected_value: All persons, label: sex} + - {column: E, row: 8656, expected_value: Employee, label: employment type} + - {column: J, row: 8656, expected_value: Value, label: measure} + - {column: L, row: 8657, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8658 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8658, expected_value: E12000009, label: geography} + - {column: D, row: 8658, expected_value: All persons, label: sex} + - {column: E, row: 8658, expected_value: Employee, label: employment type} + - {column: J, row: 8658, expected_value: Value, label: measure} + - {column: L, row: 8659, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8660 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8660, expected_value: E12000009, label: geography} + - {column: D, row: 8660, expected_value: All persons, label: sex} + - {column: E, row: 8660, expected_value: Employee, label: employment type} + - {column: J, row: 8660, expected_value: Value, label: measure} + - {column: L, row: 8661, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8662 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8662, expected_value: E12000009, label: geography} + - {column: D, row: 8662, expected_value: All persons, label: sex} + - {column: E, row: 8662, expected_value: Employee, label: employment type} + - {column: J, row: 8662, expected_value: Value, label: measure} + - {column: L, row: 8663, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8664 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8664, expected_value: E12000009, label: geography} + - {column: D, row: 8664, expected_value: All persons, label: sex} + - {column: E, row: 8664, expected_value: Employee, label: employment type} + - {column: J, row: 8664, expected_value: Value, label: measure} + - {column: L, row: 8665, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8666 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8666, expected_value: E12000009, label: geography} + - {column: D, row: 8666, expected_value: All persons, label: sex} + - {column: E, row: 8666, expected_value: Employee, label: employment type} + - {column: J, row: 8666, expected_value: Value, label: measure} + - {column: L, row: 8667, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8668 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8668, expected_value: E12000009, label: geography} + - {column: D, row: 8668, expected_value: All persons, label: sex} + - {column: E, row: 8668, expected_value: Employee, label: employment type} + - {column: J, row: 8668, expected_value: Value, label: measure} + - {column: L, row: 8669, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8670 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8670, expected_value: E12000009, label: geography} + - {column: D, row: 8670, expected_value: All persons, label: sex} + - {column: E, row: 8670, expected_value: Employee, label: employment type} + - {column: J, row: 8670, expected_value: Value, label: measure} + - {column: L, row: 8671, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8672 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8672, expected_value: E12000009, label: geography} + - {column: D, row: 8672, expected_value: All persons, label: sex} + - {column: E, row: 8672, expected_value: Employee, label: employment type} + - {column: J, row: 8672, expected_value: Value, label: measure} + - {column: L, row: 8673, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8674 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8674, expected_value: E12000009, label: geography} + - {column: D, row: 8674, expected_value: All persons, label: sex} + - {column: E, row: 8674, expected_value: Employee, label: employment type} + - {column: J, row: 8674, expected_value: Value, label: measure} + - {column: L, row: 8675, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8676 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8676, expected_value: E12000009, label: geography} + - {column: D, row: 8676, expected_value: All persons, label: sex} + - {column: E, row: 8676, expected_value: Employee, label: employment type} + - {column: J, row: 8676, expected_value: Value, label: measure} + - {column: L, row: 8677, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8678 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8678, expected_value: E12000009, label: geography} + - {column: D, row: 8678, expected_value: All persons, label: sex} + - {column: E, row: 8678, expected_value: Employee, label: employment type} + - {column: J, row: 8678, expected_value: Value, label: measure} + - {column: L, row: 8679, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8680 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8680, expected_value: E12000009, label: geography} + - {column: D, row: 8680, expected_value: All persons, label: sex} + - {column: E, row: 8680, expected_value: Employee, label: employment type} + - {column: J, row: 8680, expected_value: Value, label: measure} + - {column: L, row: 8681, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8682 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8682, expected_value: E12000009, label: geography} + - {column: D, row: 8682, expected_value: All persons, label: sex} + - {column: E, row: 8682, expected_value: Employee, label: employment type} + - {column: J, row: 8682, expected_value: Value, label: measure} + - {column: L, row: 8683, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8684 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8684, expected_value: E12000009, label: geography} + - {column: D, row: 8684, expected_value: All persons, label: sex} + - {column: E, row: 8684, expected_value: Employee, label: employment type} + - {column: J, row: 8684, expected_value: Value, label: measure} + - {column: L, row: 8685, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8686 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8686, expected_value: E12000009, label: geography} + - {column: D, row: 8686, expected_value: All persons, label: sex} + - {column: E, row: 8686, expected_value: Employee, label: employment type} + - {column: J, row: 8686, expected_value: Value, label: measure} + - {column: L, row: 8687, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8688 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8688, expected_value: E12000009, label: geography} + - {column: D, row: 8688, expected_value: All persons, label: sex} + - {column: E, row: 8688, expected_value: Employee, label: employment type} + - {column: J, row: 8688, expected_value: Value, label: measure} + - {column: L, row: 8689, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8690 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8690, expected_value: E12000009, label: geography} + - {column: D, row: 8690, expected_value: All persons, label: sex} + - {column: E, row: 8690, expected_value: Employee, label: employment type} + - {column: J, row: 8690, expected_value: Value, label: measure} + - {column: L, row: 8691, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8692 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8692, expected_value: E12000009, label: geography} + - {column: D, row: 8692, expected_value: All persons, label: sex} + - {column: E, row: 8692, expected_value: Employee, label: employment type} + - {column: J, row: 8692, expected_value: Value, label: measure} + - {column: L, row: 8693, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8694 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8694, expected_value: E12000009, label: geography} + - {column: D, row: 8694, expected_value: All persons, label: sex} + - {column: E, row: 8694, expected_value: Employee, label: employment type} + - {column: J, row: 8694, expected_value: Value, label: measure} + - {column: L, row: 8695, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8696 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8696, expected_value: E12000009, label: geography} + - {column: D, row: 8696, expected_value: All persons, label: sex} + - {column: E, row: 8696, expected_value: Employee, label: employment type} + - {column: J, row: 8696, expected_value: Value, label: measure} + - {column: L, row: 8697, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8698 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8698, expected_value: E12000009, label: geography} + - {column: D, row: 8698, expected_value: All persons, label: sex} + - {column: E, row: 8698, expected_value: Employee, label: employment type} + - {column: J, row: 8698, expected_value: Value, label: measure} + - {column: L, row: 8699, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8700 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8700, expected_value: E12000009, label: geography} + - {column: D, row: 8700, expected_value: All persons, label: sex} + - {column: E, row: 8700, expected_value: Employee, label: employment type} + - {column: J, row: 8700, expected_value: Value, label: measure} + - {column: L, row: 8701, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8702 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8702, expected_value: E12000009, label: geography} + - {column: D, row: 8702, expected_value: All persons, label: sex} + - {column: E, row: 8702, expected_value: Employee, label: employment type} + - {column: J, row: 8702, expected_value: Value, label: measure} + - {column: L, row: 8703, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8704 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8704, expected_value: E12000009, label: geography} + - {column: D, row: 8704, expected_value: All persons, label: sex} + - {column: E, row: 8704, expected_value: Employee, label: employment type} + - {column: J, row: 8704, expected_value: Value, label: measure} + - {column: L, row: 8705, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8706 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8706, expected_value: E12000009, label: geography} + - {column: D, row: 8706, expected_value: All persons, label: sex} + - {column: E, row: 8706, expected_value: Employee, label: employment type} + - {column: J, row: 8706, expected_value: Value, label: measure} + - {column: L, row: 8707, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8708 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8708, expected_value: E12000009, label: geography} + - {column: D, row: 8708, expected_value: All persons, label: sex} + - {column: E, row: 8708, expected_value: Employee, label: employment type} + - {column: J, row: 8708, expected_value: Value, label: measure} + - {column: L, row: 8709, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8710 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8710, expected_value: E12000009, label: geography} + - {column: D, row: 8710, expected_value: All persons, label: sex} + - {column: E, row: 8710, expected_value: Employee, label: employment type} + - {column: J, row: 8710, expected_value: Value, label: measure} + - {column: L, row: 8711, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8712 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8712, expected_value: E12000009, label: geography} + - {column: D, row: 8712, expected_value: All persons, label: sex} + - {column: E, row: 8712, expected_value: Employee, label: employment type} + - {column: J, row: 8712, expected_value: Value, label: measure} + - {column: L, row: 8713, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8643 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8643, expected_value: E12000009, label: geography} + - {column: D, row: 8643, expected_value: All persons, label: sex} + - {column: E, row: 8643, expected_value: Employee, label: employment type} + - {column: J, row: 8643, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8645 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8645, expected_value: E12000009, label: geography} + - {column: D, row: 8645, expected_value: All persons, label: sex} + - {column: E, row: 8645, expected_value: Employee, label: employment type} + - {column: J, row: 8645, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8647 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8647, expected_value: E12000009, label: geography} + - {column: D, row: 8647, expected_value: All persons, label: sex} + - {column: E, row: 8647, expected_value: Employee, label: employment type} + - {column: J, row: 8647, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8649 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8649, expected_value: E12000009, label: geography} + - {column: D, row: 8649, expected_value: All persons, label: sex} + - {column: E, row: 8649, expected_value: Employee, label: employment type} + - {column: J, row: 8649, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8651 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8651, expected_value: E12000009, label: geography} + - {column: D, row: 8651, expected_value: All persons, label: sex} + - {column: E, row: 8651, expected_value: Employee, label: employment type} + - {column: J, row: 8651, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8653 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8653, expected_value: E12000009, label: geography} + - {column: D, row: 8653, expected_value: All persons, label: sex} + - {column: E, row: 8653, expected_value: Employee, label: employment type} + - {column: J, row: 8653, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8655 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8655, expected_value: E12000009, label: geography} + - {column: D, row: 8655, expected_value: All persons, label: sex} + - {column: E, row: 8655, expected_value: Employee, label: employment type} + - {column: J, row: 8655, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8657 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8657, expected_value: E12000009, label: geography} + - {column: D, row: 8657, expected_value: All persons, label: sex} + - {column: E, row: 8657, expected_value: Employee, label: employment type} + - {column: J, row: 8657, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8659 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8659, expected_value: E12000009, label: geography} + - {column: D, row: 8659, expected_value: All persons, label: sex} + - {column: E, row: 8659, expected_value: Employee, label: employment type} + - {column: J, row: 8659, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8661 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8661, expected_value: E12000009, label: geography} + - {column: D, row: 8661, expected_value: All persons, label: sex} + - {column: E, row: 8661, expected_value: Employee, label: employment type} + - {column: J, row: 8661, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8663 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8663, expected_value: E12000009, label: geography} + - {column: D, row: 8663, expected_value: All persons, label: sex} + - {column: E, row: 8663, expected_value: Employee, label: employment type} + - {column: J, row: 8663, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8665 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8665, expected_value: E12000009, label: geography} + - {column: D, row: 8665, expected_value: All persons, label: sex} + - {column: E, row: 8665, expected_value: Employee, label: employment type} + - {column: J, row: 8665, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8667 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8667, expected_value: E12000009, label: geography} + - {column: D, row: 8667, expected_value: All persons, label: sex} + - {column: E, row: 8667, expected_value: Employee, label: employment type} + - {column: J, row: 8667, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8669 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8669, expected_value: E12000009, label: geography} + - {column: D, row: 8669, expected_value: All persons, label: sex} + - {column: E, row: 8669, expected_value: Employee, label: employment type} + - {column: J, row: 8669, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8671 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8671, expected_value: E12000009, label: geography} + - {column: D, row: 8671, expected_value: All persons, label: sex} + - {column: E, row: 8671, expected_value: Employee, label: employment type} + - {column: J, row: 8671, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8673 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8673, expected_value: E12000009, label: geography} + - {column: D, row: 8673, expected_value: All persons, label: sex} + - {column: E, row: 8673, expected_value: Employee, label: employment type} + - {column: J, row: 8673, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8675 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8675, expected_value: E12000009, label: geography} + - {column: D, row: 8675, expected_value: All persons, label: sex} + - {column: E, row: 8675, expected_value: Employee, label: employment type} + - {column: J, row: 8675, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8677 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8677, expected_value: E12000009, label: geography} + - {column: D, row: 8677, expected_value: All persons, label: sex} + - {column: E, row: 8677, expected_value: Employee, label: employment type} + - {column: J, row: 8677, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8679 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8679, expected_value: E12000009, label: geography} + - {column: D, row: 8679, expected_value: All persons, label: sex} + - {column: E, row: 8679, expected_value: Employee, label: employment type} + - {column: J, row: 8679, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8681 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8681, expected_value: E12000009, label: geography} + - {column: D, row: 8681, expected_value: All persons, label: sex} + - {column: E, row: 8681, expected_value: Employee, label: employment type} + - {column: J, row: 8681, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8683 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8683, expected_value: E12000009, label: geography} + - {column: D, row: 8683, expected_value: All persons, label: sex} + - {column: E, row: 8683, expected_value: Employee, label: employment type} + - {column: J, row: 8683, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8685 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8685, expected_value: E12000009, label: geography} + - {column: D, row: 8685, expected_value: All persons, label: sex} + - {column: E, row: 8685, expected_value: Employee, label: employment type} + - {column: J, row: 8685, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8687 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8687, expected_value: E12000009, label: geography} + - {column: D, row: 8687, expected_value: All persons, label: sex} + - {column: E, row: 8687, expected_value: Employee, label: employment type} + - {column: J, row: 8687, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8689 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8689, expected_value: E12000009, label: geography} + - {column: D, row: 8689, expected_value: All persons, label: sex} + - {column: E, row: 8689, expected_value: Employee, label: employment type} + - {column: J, row: 8689, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8691 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8691, expected_value: E12000009, label: geography} + - {column: D, row: 8691, expected_value: All persons, label: sex} + - {column: E, row: 8691, expected_value: Employee, label: employment type} + - {column: J, row: 8691, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8693 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8693, expected_value: E12000009, label: geography} + - {column: D, row: 8693, expected_value: All persons, label: sex} + - {column: E, row: 8693, expected_value: Employee, label: employment type} + - {column: J, row: 8693, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8697 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8697, expected_value: E12000009, label: geography} + - {column: D, row: 8697, expected_value: All persons, label: sex} + - {column: E, row: 8697, expected_value: Employee, label: employment type} + - {column: J, row: 8697, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8699 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8699, expected_value: E12000009, label: geography} + - {column: D, row: 8699, expected_value: All persons, label: sex} + - {column: E, row: 8699, expected_value: Employee, label: employment type} + - {column: J, row: 8699, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8701 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8701, expected_value: E12000009, label: geography} + - {column: D, row: 8701, expected_value: All persons, label: sex} + - {column: E, row: 8701, expected_value: Employee, label: employment type} + - {column: J, row: 8701, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8703 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8703, expected_value: E12000009, label: geography} + - {column: D, row: 8703, expected_value: All persons, label: sex} + - {column: E, row: 8703, expected_value: Employee, label: employment type} + - {column: J, row: 8703, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8705 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8705, expected_value: E12000009, label: geography} + - {column: D, row: 8705, expected_value: All persons, label: sex} + - {column: E, row: 8705, expected_value: Employee, label: employment type} + - {column: J, row: 8705, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8707 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8707, expected_value: E12000009, label: geography} + - {column: D, row: 8707, expected_value: All persons, label: sex} + - {column: E, row: 8707, expected_value: Employee, label: employment type} + - {column: J, row: 8707, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8709 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8709, expected_value: E12000009, label: geography} + - {column: D, row: 8709, expected_value: All persons, label: sex} + - {column: E, row: 8709, expected_value: Employee, label: employment type} + - {column: J, row: 8709, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8711 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8711, expected_value: E12000009, label: geography} + - {column: D, row: 8711, expected_value: All persons, label: sex} + - {column: E, row: 8711, expected_value: Employee, label: employment type} + - {column: J, row: 8711, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8713 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8713, expected_value: E12000009, label: geography} + - {column: D, row: 8713, expected_value: All persons, label: sex} + - {column: E, row: 8713, expected_value: Employee, label: employment type} + - {column: J, row: 8713, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8858 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8858, expected_value: E12000009, label: geography} + - {column: D, row: 8858, expected_value: All persons, label: sex} + - {column: E, row: 8858, expected_value: Self-employed, label: employment type} + - {column: J, row: 8858, expected_value: Value, label: measure} + - {column: L, row: 8859, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8860 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8860, expected_value: E12000009, label: geography} + - {column: D, row: 8860, expected_value: All persons, label: sex} + - {column: E, row: 8860, expected_value: Self-employed, label: employment type} + - {column: J, row: 8860, expected_value: Value, label: measure} + - {column: L, row: 8861, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8862 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8862, expected_value: E12000009, label: geography} + - {column: D, row: 8862, expected_value: All persons, label: sex} + - {column: E, row: 8862, expected_value: Self-employed, label: employment type} + - {column: J, row: 8862, expected_value: Value, label: measure} + - {column: L, row: 8863, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8864 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8864, expected_value: E12000009, label: geography} + - {column: D, row: 8864, expected_value: All persons, label: sex} + - {column: E, row: 8864, expected_value: Self-employed, label: employment type} + - {column: J, row: 8864, expected_value: Value, label: measure} + - {column: L, row: 8865, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8866 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8866, expected_value: E12000009, label: geography} + - {column: D, row: 8866, expected_value: All persons, label: sex} + - {column: E, row: 8866, expected_value: Self-employed, label: employment type} + - {column: J, row: 8866, expected_value: Value, label: measure} + - {column: L, row: 8867, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8868 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8868, expected_value: E12000009, label: geography} + - {column: D, row: 8868, expected_value: All persons, label: sex} + - {column: E, row: 8868, expected_value: Self-employed, label: employment type} + - {column: J, row: 8868, expected_value: Value, label: measure} + - {column: L, row: 8869, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8870 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8870, expected_value: E12000009, label: geography} + - {column: D, row: 8870, expected_value: All persons, label: sex} + - {column: E, row: 8870, expected_value: Self-employed, label: employment type} + - {column: J, row: 8870, expected_value: Value, label: measure} + - {column: L, row: 8871, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8872 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8872, expected_value: E12000009, label: geography} + - {column: D, row: 8872, expected_value: All persons, label: sex} + - {column: E, row: 8872, expected_value: Self-employed, label: employment type} + - {column: J, row: 8872, expected_value: Value, label: measure} + - {column: L, row: 8873, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8874 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8874, expected_value: E12000009, label: geography} + - {column: D, row: 8874, expected_value: All persons, label: sex} + - {column: E, row: 8874, expected_value: Self-employed, label: employment type} + - {column: J, row: 8874, expected_value: Value, label: measure} + - {column: L, row: 8875, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8876 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8876, expected_value: E12000009, label: geography} + - {column: D, row: 8876, expected_value: All persons, label: sex} + - {column: E, row: 8876, expected_value: Self-employed, label: employment type} + - {column: J, row: 8876, expected_value: Value, label: measure} + - {column: L, row: 8877, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8878 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8878, expected_value: E12000009, label: geography} + - {column: D, row: 8878, expected_value: All persons, label: sex} + - {column: E, row: 8878, expected_value: Self-employed, label: employment type} + - {column: J, row: 8878, expected_value: Value, label: measure} + - {column: L, row: 8879, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8880 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8880, expected_value: E12000009, label: geography} + - {column: D, row: 8880, expected_value: All persons, label: sex} + - {column: E, row: 8880, expected_value: Self-employed, label: employment type} + - {column: J, row: 8880, expected_value: Value, label: measure} + - {column: L, row: 8881, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8882 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8882, expected_value: E12000009, label: geography} + - {column: D, row: 8882, expected_value: All persons, label: sex} + - {column: E, row: 8882, expected_value: Self-employed, label: employment type} + - {column: J, row: 8882, expected_value: Value, label: measure} + - {column: L, row: 8883, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8884 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8884, expected_value: E12000009, label: geography} + - {column: D, row: 8884, expected_value: All persons, label: sex} + - {column: E, row: 8884, expected_value: Self-employed, label: employment type} + - {column: J, row: 8884, expected_value: Value, label: measure} + - {column: L, row: 8885, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8886 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8886, expected_value: E12000009, label: geography} + - {column: D, row: 8886, expected_value: All persons, label: sex} + - {column: E, row: 8886, expected_value: Self-employed, label: employment type} + - {column: J, row: 8886, expected_value: Value, label: measure} + - {column: L, row: 8887, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8888 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8888, expected_value: E12000009, label: geography} + - {column: D, row: 8888, expected_value: All persons, label: sex} + - {column: E, row: 8888, expected_value: Self-employed, label: employment type} + - {column: J, row: 8888, expected_value: Value, label: measure} + - {column: L, row: 8889, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8890 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8890, expected_value: E12000009, label: geography} + - {column: D, row: 8890, expected_value: All persons, label: sex} + - {column: E, row: 8890, expected_value: Self-employed, label: employment type} + - {column: J, row: 8890, expected_value: Value, label: measure} + - {column: L, row: 8891, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8892 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8892, expected_value: E12000009, label: geography} + - {column: D, row: 8892, expected_value: All persons, label: sex} + - {column: E, row: 8892, expected_value: Self-employed, label: employment type} + - {column: J, row: 8892, expected_value: Value, label: measure} + - {column: L, row: 8893, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8894 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8894, expected_value: E12000009, label: geography} + - {column: D, row: 8894, expected_value: All persons, label: sex} + - {column: E, row: 8894, expected_value: Self-employed, label: employment type} + - {column: J, row: 8894, expected_value: Value, label: measure} + - {column: L, row: 8895, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8896 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8896, expected_value: E12000009, label: geography} + - {column: D, row: 8896, expected_value: All persons, label: sex} + - {column: E, row: 8896, expected_value: Self-employed, label: employment type} + - {column: J, row: 8896, expected_value: Value, label: measure} + - {column: L, row: 8897, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8898 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8898, expected_value: E12000009, label: geography} + - {column: D, row: 8898, expected_value: All persons, label: sex} + - {column: E, row: 8898, expected_value: Self-employed, label: employment type} + - {column: J, row: 8898, expected_value: Value, label: measure} + - {column: L, row: 8899, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8900 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8900, expected_value: E12000009, label: geography} + - {column: D, row: 8900, expected_value: All persons, label: sex} + - {column: E, row: 8900, expected_value: Self-employed, label: employment type} + - {column: J, row: 8900, expected_value: Value, label: measure} + - {column: L, row: 8901, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8902 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8902, expected_value: E12000009, label: geography} + - {column: D, row: 8902, expected_value: All persons, label: sex} + - {column: E, row: 8902, expected_value: Self-employed, label: employment type} + - {column: J, row: 8902, expected_value: Value, label: measure} + - {column: L, row: 8903, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8904 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8904, expected_value: E12000009, label: geography} + - {column: D, row: 8904, expected_value: All persons, label: sex} + - {column: E, row: 8904, expected_value: Self-employed, label: employment type} + - {column: J, row: 8904, expected_value: Value, label: measure} + - {column: L, row: 8905, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8906 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8906, expected_value: E12000009, label: geography} + - {column: D, row: 8906, expected_value: All persons, label: sex} + - {column: E, row: 8906, expected_value: Self-employed, label: employment type} + - {column: J, row: 8906, expected_value: Value, label: measure} + - {column: L, row: 8907, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8908 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8908, expected_value: E12000009, label: geography} + - {column: D, row: 8908, expected_value: All persons, label: sex} + - {column: E, row: 8908, expected_value: Self-employed, label: employment type} + - {column: J, row: 8908, expected_value: Value, label: measure} + - {column: L, row: 8909, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8912 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8912, expected_value: E12000009, label: geography} + - {column: D, row: 8912, expected_value: All persons, label: sex} + - {column: E, row: 8912, expected_value: Self-employed, label: employment type} + - {column: J, row: 8912, expected_value: Value, label: measure} + - {column: L, row: 8913, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8914 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8914, expected_value: E12000009, label: geography} + - {column: D, row: 8914, expected_value: All persons, label: sex} + - {column: E, row: 8914, expected_value: Self-employed, label: employment type} + - {column: J, row: 8914, expected_value: Value, label: measure} + - {column: L, row: 8915, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8916 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8916, expected_value: E12000009, label: geography} + - {column: D, row: 8916, expected_value: All persons, label: sex} + - {column: E, row: 8916, expected_value: Self-employed, label: employment type} + - {column: J, row: 8916, expected_value: Value, label: measure} + - {column: L, row: 8917, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8918 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8918, expected_value: E12000009, label: geography} + - {column: D, row: 8918, expected_value: All persons, label: sex} + - {column: E, row: 8918, expected_value: Self-employed, label: employment type} + - {column: J, row: 8918, expected_value: Value, label: measure} + - {column: L, row: 8919, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8920 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8920, expected_value: E12000009, label: geography} + - {column: D, row: 8920, expected_value: All persons, label: sex} + - {column: E, row: 8920, expected_value: Self-employed, label: employment type} + - {column: J, row: 8920, expected_value: Value, label: measure} + - {column: L, row: 8921, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8922 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8922, expected_value: E12000009, label: geography} + - {column: D, row: 8922, expected_value: All persons, label: sex} + - {column: E, row: 8922, expected_value: Self-employed, label: employment type} + - {column: J, row: 8922, expected_value: Value, label: measure} + - {column: L, row: 8923, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8924 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8924, expected_value: E12000009, label: geography} + - {column: D, row: 8924, expected_value: All persons, label: sex} + - {column: E, row: 8924, expected_value: Self-employed, label: employment type} + - {column: J, row: 8924, expected_value: Value, label: measure} + - {column: L, row: 8925, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8926 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8926, expected_value: E12000009, label: geography} + - {column: D, row: 8926, expected_value: All persons, label: sex} + - {column: E, row: 8926, expected_value: Self-employed, label: employment type} + - {column: J, row: 8926, expected_value: Value, label: measure} + - {column: L, row: 8927, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8928 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8928, expected_value: E12000009, label: geography} + - {column: D, row: 8928, expected_value: All persons, label: sex} + - {column: E, row: 8928, expected_value: Self-employed, label: employment type} + - {column: J, row: 8928, expected_value: Value, label: measure} + - {column: L, row: 8929, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8859 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8859, expected_value: E12000009, label: geography} + - {column: D, row: 8859, expected_value: All persons, label: sex} + - {column: E, row: 8859, expected_value: Self-employed, label: employment type} + - {column: J, row: 8859, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8861 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8861, expected_value: E12000009, label: geography} + - {column: D, row: 8861, expected_value: All persons, label: sex} + - {column: E, row: 8861, expected_value: Self-employed, label: employment type} + - {column: J, row: 8861, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8863 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8863, expected_value: E12000009, label: geography} + - {column: D, row: 8863, expected_value: All persons, label: sex} + - {column: E, row: 8863, expected_value: Self-employed, label: employment type} + - {column: J, row: 8863, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8865 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8865, expected_value: E12000009, label: geography} + - {column: D, row: 8865, expected_value: All persons, label: sex} + - {column: E, row: 8865, expected_value: Self-employed, label: employment type} + - {column: J, row: 8865, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8867 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8867, expected_value: E12000009, label: geography} + - {column: D, row: 8867, expected_value: All persons, label: sex} + - {column: E, row: 8867, expected_value: Self-employed, label: employment type} + - {column: J, row: 8867, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8869 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8869, expected_value: E12000009, label: geography} + - {column: D, row: 8869, expected_value: All persons, label: sex} + - {column: E, row: 8869, expected_value: Self-employed, label: employment type} + - {column: J, row: 8869, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8871 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8871, expected_value: E12000009, label: geography} + - {column: D, row: 8871, expected_value: All persons, label: sex} + - {column: E, row: 8871, expected_value: Self-employed, label: employment type} + - {column: J, row: 8871, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8873 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8873, expected_value: E12000009, label: geography} + - {column: D, row: 8873, expected_value: All persons, label: sex} + - {column: E, row: 8873, expected_value: Self-employed, label: employment type} + - {column: J, row: 8873, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8875 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8875, expected_value: E12000009, label: geography} + - {column: D, row: 8875, expected_value: All persons, label: sex} + - {column: E, row: 8875, expected_value: Self-employed, label: employment type} + - {column: J, row: 8875, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8877 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8877, expected_value: E12000009, label: geography} + - {column: D, row: 8877, expected_value: All persons, label: sex} + - {column: E, row: 8877, expected_value: Self-employed, label: employment type} + - {column: J, row: 8877, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8881 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8881, expected_value: E12000009, label: geography} + - {column: D, row: 8881, expected_value: All persons, label: sex} + - {column: E, row: 8881, expected_value: Self-employed, label: employment type} + - {column: J, row: 8881, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8885 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8885, expected_value: E12000009, label: geography} + - {column: D, row: 8885, expected_value: All persons, label: sex} + - {column: E, row: 8885, expected_value: Self-employed, label: employment type} + - {column: J, row: 8885, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8887 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8887, expected_value: E12000009, label: geography} + - {column: D, row: 8887, expected_value: All persons, label: sex} + - {column: E, row: 8887, expected_value: Self-employed, label: employment type} + - {column: J, row: 8887, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8889 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8889, expected_value: E12000009, label: geography} + - {column: D, row: 8889, expected_value: All persons, label: sex} + - {column: E, row: 8889, expected_value: Self-employed, label: employment type} + - {column: J, row: 8889, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8891 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8891, expected_value: E12000009, label: geography} + - {column: D, row: 8891, expected_value: All persons, label: sex} + - {column: E, row: 8891, expected_value: Self-employed, label: employment type} + - {column: J, row: 8891, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8895 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8895, expected_value: E12000009, label: geography} + - {column: D, row: 8895, expected_value: All persons, label: sex} + - {column: E, row: 8895, expected_value: Self-employed, label: employment type} + - {column: J, row: 8895, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8897 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8897, expected_value: E12000009, label: geography} + - {column: D, row: 8897, expected_value: All persons, label: sex} + - {column: E, row: 8897, expected_value: Self-employed, label: employment type} + - {column: J, row: 8897, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8899 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8899, expected_value: E12000009, label: geography} + - {column: D, row: 8899, expected_value: All persons, label: sex} + - {column: E, row: 8899, expected_value: Self-employed, label: employment type} + - {column: J, row: 8899, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8901 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8901, expected_value: E12000009, label: geography} + - {column: D, row: 8901, expected_value: All persons, label: sex} + - {column: E, row: 8901, expected_value: Self-employed, label: employment type} + - {column: J, row: 8901, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8903 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8903, expected_value: E12000009, label: geography} + - {column: D, row: 8903, expected_value: All persons, label: sex} + - {column: E, row: 8903, expected_value: Self-employed, label: employment type} + - {column: J, row: 8903, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8905 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8905, expected_value: E12000009, label: geography} + - {column: D, row: 8905, expected_value: All persons, label: sex} + - {column: E, row: 8905, expected_value: Self-employed, label: employment type} + - {column: J, row: 8905, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8907 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8907, expected_value: E12000009, label: geography} + - {column: D, row: 8907, expected_value: All persons, label: sex} + - {column: E, row: 8907, expected_value: Self-employed, label: employment type} + - {column: J, row: 8907, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8909 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8909, expected_value: E12000009, label: geography} + - {column: D, row: 8909, expected_value: All persons, label: sex} + - {column: E, row: 8909, expected_value: Self-employed, label: employment type} + - {column: J, row: 8909, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8913 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8913, expected_value: E12000009, label: geography} + - {column: D, row: 8913, expected_value: All persons, label: sex} + - {column: E, row: 8913, expected_value: Self-employed, label: employment type} + - {column: J, row: 8913, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8915 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8915, expected_value: E12000009, label: geography} + - {column: D, row: 8915, expected_value: All persons, label: sex} + - {column: E, row: 8915, expected_value: Self-employed, label: employment type} + - {column: J, row: 8915, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8919 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8919, expected_value: E12000009, label: geography} + - {column: D, row: 8919, expected_value: All persons, label: sex} + - {column: E, row: 8919, expected_value: Self-employed, label: employment type} + - {column: J, row: 8919, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8921 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8921, expected_value: E12000009, label: geography} + - {column: D, row: 8921, expected_value: All persons, label: sex} + - {column: E, row: 8921, expected_value: Self-employed, label: employment type} + - {column: J, row: 8921, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8923 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8923, expected_value: E12000009, label: geography} + - {column: D, row: 8923, expected_value: All persons, label: sex} + - {column: E, row: 8923, expected_value: Self-employed, label: employment type} + - {column: J, row: 8923, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8925 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8925, expected_value: E12000009, label: geography} + - {column: D, row: 8925, expected_value: All persons, label: sex} + - {column: E, row: 8925, expected_value: Self-employed, label: employment type} + - {column: J, row: 8925, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8927 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8927, expected_value: E12000009, label: geography} + - {column: D, row: 8927, expected_value: All persons, label: sex} + - {column: E, row: 8927, expected_value: Self-employed, label: employment type} + - {column: J, row: 8927, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8929 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8929, expected_value: E12000009, label: geography} + - {column: D, row: 8929, expected_value: All persons, label: sex} + - {column: E, row: 8929, expected_value: Self-employed, label: employment type} + - {column: J, row: 8929, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8498 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8498, expected_value: E12000009, label: geography} + - {column: D, row: 8498, expected_value: Males, label: sex} + - {column: E, row: 8498, expected_value: Total, label: employment type} + - {column: J, row: 8498, expected_value: Value, label: measure} + - {column: L, row: 8499, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8500 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8500, expected_value: E12000009, label: geography} + - {column: D, row: 8500, expected_value: Males, label: sex} + - {column: E, row: 8500, expected_value: Total, label: employment type} + - {column: J, row: 8500, expected_value: Value, label: measure} + - {column: L, row: 8501, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8502 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8502, expected_value: E12000009, label: geography} + - {column: D, row: 8502, expected_value: Males, label: sex} + - {column: E, row: 8502, expected_value: Total, label: employment type} + - {column: J, row: 8502, expected_value: Value, label: measure} + - {column: L, row: 8503, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8504 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8504, expected_value: E12000009, label: geography} + - {column: D, row: 8504, expected_value: Males, label: sex} + - {column: E, row: 8504, expected_value: Total, label: employment type} + - {column: J, row: 8504, expected_value: Value, label: measure} + - {column: L, row: 8505, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8506 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8506, expected_value: E12000009, label: geography} + - {column: D, row: 8506, expected_value: Males, label: sex} + - {column: E, row: 8506, expected_value: Total, label: employment type} + - {column: J, row: 8506, expected_value: Value, label: measure} + - {column: L, row: 8507, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8508 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8508, expected_value: E12000009, label: geography} + - {column: D, row: 8508, expected_value: Males, label: sex} + - {column: E, row: 8508, expected_value: Total, label: employment type} + - {column: J, row: 8508, expected_value: Value, label: measure} + - {column: L, row: 8509, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8510 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8510, expected_value: E12000009, label: geography} + - {column: D, row: 8510, expected_value: Males, label: sex} + - {column: E, row: 8510, expected_value: Total, label: employment type} + - {column: J, row: 8510, expected_value: Value, label: measure} + - {column: L, row: 8511, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8512 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8512, expected_value: E12000009, label: geography} + - {column: D, row: 8512, expected_value: Males, label: sex} + - {column: E, row: 8512, expected_value: Total, label: employment type} + - {column: J, row: 8512, expected_value: Value, label: measure} + - {column: L, row: 8513, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8514 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8514, expected_value: E12000009, label: geography} + - {column: D, row: 8514, expected_value: Males, label: sex} + - {column: E, row: 8514, expected_value: Total, label: employment type} + - {column: J, row: 8514, expected_value: Value, label: measure} + - {column: L, row: 8515, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8516 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8516, expected_value: E12000009, label: geography} + - {column: D, row: 8516, expected_value: Males, label: sex} + - {column: E, row: 8516, expected_value: Total, label: employment type} + - {column: J, row: 8516, expected_value: Value, label: measure} + - {column: L, row: 8517, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8518 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8518, expected_value: E12000009, label: geography} + - {column: D, row: 8518, expected_value: Males, label: sex} + - {column: E, row: 8518, expected_value: Total, label: employment type} + - {column: J, row: 8518, expected_value: Value, label: measure} + - {column: L, row: 8519, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8520 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8520, expected_value: E12000009, label: geography} + - {column: D, row: 8520, expected_value: Males, label: sex} + - {column: E, row: 8520, expected_value: Total, label: employment type} + - {column: J, row: 8520, expected_value: Value, label: measure} + - {column: L, row: 8521, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8522 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8522, expected_value: E12000009, label: geography} + - {column: D, row: 8522, expected_value: Males, label: sex} + - {column: E, row: 8522, expected_value: Total, label: employment type} + - {column: J, row: 8522, expected_value: Value, label: measure} + - {column: L, row: 8523, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8524 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8524, expected_value: E12000009, label: geography} + - {column: D, row: 8524, expected_value: Males, label: sex} + - {column: E, row: 8524, expected_value: Total, label: employment type} + - {column: J, row: 8524, expected_value: Value, label: measure} + - {column: L, row: 8525, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8526 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8526, expected_value: E12000009, label: geography} + - {column: D, row: 8526, expected_value: Males, label: sex} + - {column: E, row: 8526, expected_value: Total, label: employment type} + - {column: J, row: 8526, expected_value: Value, label: measure} + - {column: L, row: 8527, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8528 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8528, expected_value: E12000009, label: geography} + - {column: D, row: 8528, expected_value: Males, label: sex} + - {column: E, row: 8528, expected_value: Total, label: employment type} + - {column: J, row: 8528, expected_value: Value, label: measure} + - {column: L, row: 8529, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8530 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8530, expected_value: E12000009, label: geography} + - {column: D, row: 8530, expected_value: Males, label: sex} + - {column: E, row: 8530, expected_value: Total, label: employment type} + - {column: J, row: 8530, expected_value: Value, label: measure} + - {column: L, row: 8531, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8532 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8532, expected_value: E12000009, label: geography} + - {column: D, row: 8532, expected_value: Males, label: sex} + - {column: E, row: 8532, expected_value: Total, label: employment type} + - {column: J, row: 8532, expected_value: Value, label: measure} + - {column: L, row: 8533, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8534 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8534, expected_value: E12000009, label: geography} + - {column: D, row: 8534, expected_value: Males, label: sex} + - {column: E, row: 8534, expected_value: Total, label: employment type} + - {column: J, row: 8534, expected_value: Value, label: measure} + - {column: L, row: 8535, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8536 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8536, expected_value: E12000009, label: geography} + - {column: D, row: 8536, expected_value: Males, label: sex} + - {column: E, row: 8536, expected_value: Total, label: employment type} + - {column: J, row: 8536, expected_value: Value, label: measure} + - {column: L, row: 8537, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8538 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8538, expected_value: E12000009, label: geography} + - {column: D, row: 8538, expected_value: Males, label: sex} + - {column: E, row: 8538, expected_value: Total, label: employment type} + - {column: J, row: 8538, expected_value: Value, label: measure} + - {column: L, row: 8539, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8540 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8540, expected_value: E12000009, label: geography} + - {column: D, row: 8540, expected_value: Males, label: sex} + - {column: E, row: 8540, expected_value: Total, label: employment type} + - {column: J, row: 8540, expected_value: Value, label: measure} + - {column: L, row: 8541, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8542 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8542, expected_value: E12000009, label: geography} + - {column: D, row: 8542, expected_value: Males, label: sex} + - {column: E, row: 8542, expected_value: Total, label: employment type} + - {column: J, row: 8542, expected_value: Value, label: measure} + - {column: L, row: 8543, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8544 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8544, expected_value: E12000009, label: geography} + - {column: D, row: 8544, expected_value: Males, label: sex} + - {column: E, row: 8544, expected_value: Total, label: employment type} + - {column: J, row: 8544, expected_value: Value, label: measure} + - {column: L, row: 8545, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8546 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8546, expected_value: E12000009, label: geography} + - {column: D, row: 8546, expected_value: Males, label: sex} + - {column: E, row: 8546, expected_value: Total, label: employment type} + - {column: J, row: 8546, expected_value: Value, label: measure} + - {column: L, row: 8547, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8548 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8548, expected_value: E12000009, label: geography} + - {column: D, row: 8548, expected_value: Males, label: sex} + - {column: E, row: 8548, expected_value: Total, label: employment type} + - {column: J, row: 8548, expected_value: Value, label: measure} + - {column: L, row: 8549, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8550 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8550, expected_value: E12000009, label: geography} + - {column: D, row: 8550, expected_value: Males, label: sex} + - {column: E, row: 8550, expected_value: Total, label: employment type} + - {column: J, row: 8550, expected_value: Value, label: measure} + - {column: L, row: 8551, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8552 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8552, expected_value: E12000009, label: geography} + - {column: D, row: 8552, expected_value: Males, label: sex} + - {column: E, row: 8552, expected_value: Total, label: employment type} + - {column: J, row: 8552, expected_value: Value, label: measure} + - {column: L, row: 8553, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8554 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8554, expected_value: E12000009, label: geography} + - {column: D, row: 8554, expected_value: Males, label: sex} + - {column: E, row: 8554, expected_value: Total, label: employment type} + - {column: J, row: 8554, expected_value: Value, label: measure} + - {column: L, row: 8555, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8556 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8556, expected_value: E12000009, label: geography} + - {column: D, row: 8556, expected_value: Males, label: sex} + - {column: E, row: 8556, expected_value: Total, label: employment type} + - {column: J, row: 8556, expected_value: Value, label: measure} + - {column: L, row: 8557, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8558 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8558, expected_value: E12000009, label: geography} + - {column: D, row: 8558, expected_value: Males, label: sex} + - {column: E, row: 8558, expected_value: Total, label: employment type} + - {column: J, row: 8558, expected_value: Value, label: measure} + - {column: L, row: 8559, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8560 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8560, expected_value: E12000009, label: geography} + - {column: D, row: 8560, expected_value: Males, label: sex} + - {column: E, row: 8560, expected_value: Total, label: employment type} + - {column: J, row: 8560, expected_value: Value, label: measure} + - {column: L, row: 8561, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8562 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8562, expected_value: E12000009, label: geography} + - {column: D, row: 8562, expected_value: Males, label: sex} + - {column: E, row: 8562, expected_value: Total, label: employment type} + - {column: J, row: 8562, expected_value: Value, label: measure} + - {column: L, row: 8563, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8564 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8564, expected_value: E12000009, label: geography} + - {column: D, row: 8564, expected_value: Males, label: sex} + - {column: E, row: 8564, expected_value: Total, label: employment type} + - {column: J, row: 8564, expected_value: Value, label: measure} + - {column: L, row: 8565, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8566 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8566, expected_value: E12000009, label: geography} + - {column: D, row: 8566, expected_value: Males, label: sex} + - {column: E, row: 8566, expected_value: Total, label: employment type} + - {column: J, row: 8566, expected_value: Value, label: measure} + - {column: L, row: 8567, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8568 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8568, expected_value: E12000009, label: geography} + - {column: D, row: 8568, expected_value: Males, label: sex} + - {column: E, row: 8568, expected_value: Total, label: employment type} + - {column: J, row: 8568, expected_value: Value, label: measure} + - {column: L, row: 8569, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8499 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8499, expected_value: E12000009, label: geography} + - {column: D, row: 8499, expected_value: Males, label: sex} + - {column: E, row: 8499, expected_value: Total, label: employment type} + - {column: J, row: 8499, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8501 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8501, expected_value: E12000009, label: geography} + - {column: D, row: 8501, expected_value: Males, label: sex} + - {column: E, row: 8501, expected_value: Total, label: employment type} + - {column: J, row: 8501, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8503 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8503, expected_value: E12000009, label: geography} + - {column: D, row: 8503, expected_value: Males, label: sex} + - {column: E, row: 8503, expected_value: Total, label: employment type} + - {column: J, row: 8503, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8505 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8505, expected_value: E12000009, label: geography} + - {column: D, row: 8505, expected_value: Males, label: sex} + - {column: E, row: 8505, expected_value: Total, label: employment type} + - {column: J, row: 8505, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8507 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8507, expected_value: E12000009, label: geography} + - {column: D, row: 8507, expected_value: Males, label: sex} + - {column: E, row: 8507, expected_value: Total, label: employment type} + - {column: J, row: 8507, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8509 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8509, expected_value: E12000009, label: geography} + - {column: D, row: 8509, expected_value: Males, label: sex} + - {column: E, row: 8509, expected_value: Total, label: employment type} + - {column: J, row: 8509, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8511 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8511, expected_value: E12000009, label: geography} + - {column: D, row: 8511, expected_value: Males, label: sex} + - {column: E, row: 8511, expected_value: Total, label: employment type} + - {column: J, row: 8511, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8513 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8513, expected_value: E12000009, label: geography} + - {column: D, row: 8513, expected_value: Males, label: sex} + - {column: E, row: 8513, expected_value: Total, label: employment type} + - {column: J, row: 8513, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8515 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8515, expected_value: E12000009, label: geography} + - {column: D, row: 8515, expected_value: Males, label: sex} + - {column: E, row: 8515, expected_value: Total, label: employment type} + - {column: J, row: 8515, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8517 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8517, expected_value: E12000009, label: geography} + - {column: D, row: 8517, expected_value: Males, label: sex} + - {column: E, row: 8517, expected_value: Total, label: employment type} + - {column: J, row: 8517, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8519 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8519, expected_value: E12000009, label: geography} + - {column: D, row: 8519, expected_value: Males, label: sex} + - {column: E, row: 8519, expected_value: Total, label: employment type} + - {column: J, row: 8519, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8521 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8521, expected_value: E12000009, label: geography} + - {column: D, row: 8521, expected_value: Males, label: sex} + - {column: E, row: 8521, expected_value: Total, label: employment type} + - {column: J, row: 8521, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8523 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8523, expected_value: E12000009, label: geography} + - {column: D, row: 8523, expected_value: Males, label: sex} + - {column: E, row: 8523, expected_value: Total, label: employment type} + - {column: J, row: 8523, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8525 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8525, expected_value: E12000009, label: geography} + - {column: D, row: 8525, expected_value: Males, label: sex} + - {column: E, row: 8525, expected_value: Total, label: employment type} + - {column: J, row: 8525, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8527 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8527, expected_value: E12000009, label: geography} + - {column: D, row: 8527, expected_value: Males, label: sex} + - {column: E, row: 8527, expected_value: Total, label: employment type} + - {column: J, row: 8527, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8529 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8529, expected_value: E12000009, label: geography} + - {column: D, row: 8529, expected_value: Males, label: sex} + - {column: E, row: 8529, expected_value: Total, label: employment type} + - {column: J, row: 8529, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8531 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8531, expected_value: E12000009, label: geography} + - {column: D, row: 8531, expected_value: Males, label: sex} + - {column: E, row: 8531, expected_value: Total, label: employment type} + - {column: J, row: 8531, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8535 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8535, expected_value: E12000009, label: geography} + - {column: D, row: 8535, expected_value: Males, label: sex} + - {column: E, row: 8535, expected_value: Total, label: employment type} + - {column: J, row: 8535, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8537 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8537, expected_value: E12000009, label: geography} + - {column: D, row: 8537, expected_value: Males, label: sex} + - {column: E, row: 8537, expected_value: Total, label: employment type} + - {column: J, row: 8537, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8539 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8539, expected_value: E12000009, label: geography} + - {column: D, row: 8539, expected_value: Males, label: sex} + - {column: E, row: 8539, expected_value: Total, label: employment type} + - {column: J, row: 8539, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8541 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8541, expected_value: E12000009, label: geography} + - {column: D, row: 8541, expected_value: Males, label: sex} + - {column: E, row: 8541, expected_value: Total, label: employment type} + - {column: J, row: 8541, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8543 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8543, expected_value: E12000009, label: geography} + - {column: D, row: 8543, expected_value: Males, label: sex} + - {column: E, row: 8543, expected_value: Total, label: employment type} + - {column: J, row: 8543, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8545 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8545, expected_value: E12000009, label: geography} + - {column: D, row: 8545, expected_value: Males, label: sex} + - {column: E, row: 8545, expected_value: Total, label: employment type} + - {column: J, row: 8545, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8547 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8547, expected_value: E12000009, label: geography} + - {column: D, row: 8547, expected_value: Males, label: sex} + - {column: E, row: 8547, expected_value: Total, label: employment type} + - {column: J, row: 8547, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8549 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8549, expected_value: E12000009, label: geography} + - {column: D, row: 8549, expected_value: Males, label: sex} + - {column: E, row: 8549, expected_value: Total, label: employment type} + - {column: J, row: 8549, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8553 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8553, expected_value: E12000009, label: geography} + - {column: D, row: 8553, expected_value: Males, label: sex} + - {column: E, row: 8553, expected_value: Total, label: employment type} + - {column: J, row: 8553, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8555 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8555, expected_value: E12000009, label: geography} + - {column: D, row: 8555, expected_value: Males, label: sex} + - {column: E, row: 8555, expected_value: Total, label: employment type} + - {column: J, row: 8555, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8557 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8557, expected_value: E12000009, label: geography} + - {column: D, row: 8557, expected_value: Males, label: sex} + - {column: E, row: 8557, expected_value: Total, label: employment type} + - {column: J, row: 8557, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8559 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8559, expected_value: E12000009, label: geography} + - {column: D, row: 8559, expected_value: Males, label: sex} + - {column: E, row: 8559, expected_value: Total, label: employment type} + - {column: J, row: 8559, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8561 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8561, expected_value: E12000009, label: geography} + - {column: D, row: 8561, expected_value: Males, label: sex} + - {column: E, row: 8561, expected_value: Total, label: employment type} + - {column: J, row: 8561, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8563 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8563, expected_value: E12000009, label: geography} + - {column: D, row: 8563, expected_value: Males, label: sex} + - {column: E, row: 8563, expected_value: Total, label: employment type} + - {column: J, row: 8563, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8565 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8565, expected_value: E12000009, label: geography} + - {column: D, row: 8565, expected_value: Males, label: sex} + - {column: E, row: 8565, expected_value: Total, label: employment type} + - {column: J, row: 8565, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8567 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8567, expected_value: E12000009, label: geography} + - {column: D, row: 8567, expected_value: Males, label: sex} + - {column: E, row: 8567, expected_value: Total, label: employment type} + - {column: J, row: 8567, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8569 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8569, expected_value: E12000009, label: geography} + - {column: D, row: 8569, expected_value: Males, label: sex} + - {column: E, row: 8569, expected_value: Total, label: employment type} + - {column: J, row: 8569, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8714 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8714, expected_value: E12000009, label: geography} + - {column: D, row: 8714, expected_value: Males, label: sex} + - {column: E, row: 8714, expected_value: Employee, label: employment type} + - {column: J, row: 8714, expected_value: Value, label: measure} + - {column: L, row: 8715, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8716 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8716, expected_value: E12000009, label: geography} + - {column: D, row: 8716, expected_value: Males, label: sex} + - {column: E, row: 8716, expected_value: Employee, label: employment type} + - {column: J, row: 8716, expected_value: Value, label: measure} + - {column: L, row: 8717, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8718 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8718, expected_value: E12000009, label: geography} + - {column: D, row: 8718, expected_value: Males, label: sex} + - {column: E, row: 8718, expected_value: Employee, label: employment type} + - {column: J, row: 8718, expected_value: Value, label: measure} + - {column: L, row: 8719, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8720 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8720, expected_value: E12000009, label: geography} + - {column: D, row: 8720, expected_value: Males, label: sex} + - {column: E, row: 8720, expected_value: Employee, label: employment type} + - {column: J, row: 8720, expected_value: Value, label: measure} + - {column: L, row: 8721, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8722 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8722, expected_value: E12000009, label: geography} + - {column: D, row: 8722, expected_value: Males, label: sex} + - {column: E, row: 8722, expected_value: Employee, label: employment type} + - {column: J, row: 8722, expected_value: Value, label: measure} + - {column: L, row: 8723, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8724 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8724, expected_value: E12000009, label: geography} + - {column: D, row: 8724, expected_value: Males, label: sex} + - {column: E, row: 8724, expected_value: Employee, label: employment type} + - {column: J, row: 8724, expected_value: Value, label: measure} + - {column: L, row: 8725, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8726 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8726, expected_value: E12000009, label: geography} + - {column: D, row: 8726, expected_value: Males, label: sex} + - {column: E, row: 8726, expected_value: Employee, label: employment type} + - {column: J, row: 8726, expected_value: Value, label: measure} + - {column: L, row: 8727, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8728 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8728, expected_value: E12000009, label: geography} + - {column: D, row: 8728, expected_value: Males, label: sex} + - {column: E, row: 8728, expected_value: Employee, label: employment type} + - {column: J, row: 8728, expected_value: Value, label: measure} + - {column: L, row: 8729, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8730 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8730, expected_value: E12000009, label: geography} + - {column: D, row: 8730, expected_value: Males, label: sex} + - {column: E, row: 8730, expected_value: Employee, label: employment type} + - {column: J, row: 8730, expected_value: Value, label: measure} + - {column: L, row: 8731, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8732 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8732, expected_value: E12000009, label: geography} + - {column: D, row: 8732, expected_value: Males, label: sex} + - {column: E, row: 8732, expected_value: Employee, label: employment type} + - {column: J, row: 8732, expected_value: Value, label: measure} + - {column: L, row: 8733, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8734 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8734, expected_value: E12000009, label: geography} + - {column: D, row: 8734, expected_value: Males, label: sex} + - {column: E, row: 8734, expected_value: Employee, label: employment type} + - {column: J, row: 8734, expected_value: Value, label: measure} + - {column: L, row: 8735, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8736 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8736, expected_value: E12000009, label: geography} + - {column: D, row: 8736, expected_value: Males, label: sex} + - {column: E, row: 8736, expected_value: Employee, label: employment type} + - {column: J, row: 8736, expected_value: Value, label: measure} + - {column: L, row: 8737, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8738 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8738, expected_value: E12000009, label: geography} + - {column: D, row: 8738, expected_value: Males, label: sex} + - {column: E, row: 8738, expected_value: Employee, label: employment type} + - {column: J, row: 8738, expected_value: Value, label: measure} + - {column: L, row: 8739, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8740 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8740, expected_value: E12000009, label: geography} + - {column: D, row: 8740, expected_value: Males, label: sex} + - {column: E, row: 8740, expected_value: Employee, label: employment type} + - {column: J, row: 8740, expected_value: Value, label: measure} + - {column: L, row: 8741, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8742 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8742, expected_value: E12000009, label: geography} + - {column: D, row: 8742, expected_value: Males, label: sex} + - {column: E, row: 8742, expected_value: Employee, label: employment type} + - {column: J, row: 8742, expected_value: Value, label: measure} + - {column: L, row: 8743, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8744 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8744, expected_value: E12000009, label: geography} + - {column: D, row: 8744, expected_value: Males, label: sex} + - {column: E, row: 8744, expected_value: Employee, label: employment type} + - {column: J, row: 8744, expected_value: Value, label: measure} + - {column: L, row: 8745, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8746 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8746, expected_value: E12000009, label: geography} + - {column: D, row: 8746, expected_value: Males, label: sex} + - {column: E, row: 8746, expected_value: Employee, label: employment type} + - {column: J, row: 8746, expected_value: Value, label: measure} + - {column: L, row: 8747, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8748 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8748, expected_value: E12000009, label: geography} + - {column: D, row: 8748, expected_value: Males, label: sex} + - {column: E, row: 8748, expected_value: Employee, label: employment type} + - {column: J, row: 8748, expected_value: Value, label: measure} + - {column: L, row: 8749, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8750 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8750, expected_value: E12000009, label: geography} + - {column: D, row: 8750, expected_value: Males, label: sex} + - {column: E, row: 8750, expected_value: Employee, label: employment type} + - {column: J, row: 8750, expected_value: Value, label: measure} + - {column: L, row: 8751, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8752 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8752, expected_value: E12000009, label: geography} + - {column: D, row: 8752, expected_value: Males, label: sex} + - {column: E, row: 8752, expected_value: Employee, label: employment type} + - {column: J, row: 8752, expected_value: Value, label: measure} + - {column: L, row: 8753, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8754 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8754, expected_value: E12000009, label: geography} + - {column: D, row: 8754, expected_value: Males, label: sex} + - {column: E, row: 8754, expected_value: Employee, label: employment type} + - {column: J, row: 8754, expected_value: Value, label: measure} + - {column: L, row: 8755, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8756 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8756, expected_value: E12000009, label: geography} + - {column: D, row: 8756, expected_value: Males, label: sex} + - {column: E, row: 8756, expected_value: Employee, label: employment type} + - {column: J, row: 8756, expected_value: Value, label: measure} + - {column: L, row: 8757, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8758 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8758, expected_value: E12000009, label: geography} + - {column: D, row: 8758, expected_value: Males, label: sex} + - {column: E, row: 8758, expected_value: Employee, label: employment type} + - {column: J, row: 8758, expected_value: Value, label: measure} + - {column: L, row: 8759, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8760 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8760, expected_value: E12000009, label: geography} + - {column: D, row: 8760, expected_value: Males, label: sex} + - {column: E, row: 8760, expected_value: Employee, label: employment type} + - {column: J, row: 8760, expected_value: Value, label: measure} + - {column: L, row: 8761, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8762 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8762, expected_value: E12000009, label: geography} + - {column: D, row: 8762, expected_value: Males, label: sex} + - {column: E, row: 8762, expected_value: Employee, label: employment type} + - {column: J, row: 8762, expected_value: Value, label: measure} + - {column: L, row: 8763, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8764 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8764, expected_value: E12000009, label: geography} + - {column: D, row: 8764, expected_value: Males, label: sex} + - {column: E, row: 8764, expected_value: Employee, label: employment type} + - {column: J, row: 8764, expected_value: Value, label: measure} + - {column: L, row: 8765, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8766 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8766, expected_value: E12000009, label: geography} + - {column: D, row: 8766, expected_value: Males, label: sex} + - {column: E, row: 8766, expected_value: Employee, label: employment type} + - {column: J, row: 8766, expected_value: Value, label: measure} + - {column: L, row: 8767, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8768 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8768, expected_value: E12000009, label: geography} + - {column: D, row: 8768, expected_value: Males, label: sex} + - {column: E, row: 8768, expected_value: Employee, label: employment type} + - {column: J, row: 8768, expected_value: Value, label: measure} + - {column: L, row: 8769, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8770 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8770, expected_value: E12000009, label: geography} + - {column: D, row: 8770, expected_value: Males, label: sex} + - {column: E, row: 8770, expected_value: Employee, label: employment type} + - {column: J, row: 8770, expected_value: Value, label: measure} + - {column: L, row: 8771, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8772 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8772, expected_value: E12000009, label: geography} + - {column: D, row: 8772, expected_value: Males, label: sex} + - {column: E, row: 8772, expected_value: Employee, label: employment type} + - {column: J, row: 8772, expected_value: Value, label: measure} + - {column: L, row: 8773, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8774 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8774, expected_value: E12000009, label: geography} + - {column: D, row: 8774, expected_value: Males, label: sex} + - {column: E, row: 8774, expected_value: Employee, label: employment type} + - {column: J, row: 8774, expected_value: Value, label: measure} + - {column: L, row: 8775, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8776 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8776, expected_value: E12000009, label: geography} + - {column: D, row: 8776, expected_value: Males, label: sex} + - {column: E, row: 8776, expected_value: Employee, label: employment type} + - {column: J, row: 8776, expected_value: Value, label: measure} + - {column: L, row: 8777, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8778 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8778, expected_value: E12000009, label: geography} + - {column: D, row: 8778, expected_value: Males, label: sex} + - {column: E, row: 8778, expected_value: Employee, label: employment type} + - {column: J, row: 8778, expected_value: Value, label: measure} + - {column: L, row: 8779, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8780 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8780, expected_value: E12000009, label: geography} + - {column: D, row: 8780, expected_value: Males, label: sex} + - {column: E, row: 8780, expected_value: Employee, label: employment type} + - {column: J, row: 8780, expected_value: Value, label: measure} + - {column: L, row: 8781, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8782 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8782, expected_value: E12000009, label: geography} + - {column: D, row: 8782, expected_value: Males, label: sex} + - {column: E, row: 8782, expected_value: Employee, label: employment type} + - {column: J, row: 8782, expected_value: Value, label: measure} + - {column: L, row: 8783, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8784 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8784, expected_value: E12000009, label: geography} + - {column: D, row: 8784, expected_value: Males, label: sex} + - {column: E, row: 8784, expected_value: Employee, label: employment type} + - {column: J, row: 8784, expected_value: Value, label: measure} + - {column: L, row: 8785, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8715 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8715, expected_value: E12000009, label: geography} + - {column: D, row: 8715, expected_value: Males, label: sex} + - {column: E, row: 8715, expected_value: Employee, label: employment type} + - {column: J, row: 8715, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8717 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8717, expected_value: E12000009, label: geography} + - {column: D, row: 8717, expected_value: Males, label: sex} + - {column: E, row: 8717, expected_value: Employee, label: employment type} + - {column: J, row: 8717, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8719 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8719, expected_value: E12000009, label: geography} + - {column: D, row: 8719, expected_value: Males, label: sex} + - {column: E, row: 8719, expected_value: Employee, label: employment type} + - {column: J, row: 8719, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8721 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8721, expected_value: E12000009, label: geography} + - {column: D, row: 8721, expected_value: Males, label: sex} + - {column: E, row: 8721, expected_value: Employee, label: employment type} + - {column: J, row: 8721, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8723 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8723, expected_value: E12000009, label: geography} + - {column: D, row: 8723, expected_value: Males, label: sex} + - {column: E, row: 8723, expected_value: Employee, label: employment type} + - {column: J, row: 8723, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8725 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8725, expected_value: E12000009, label: geography} + - {column: D, row: 8725, expected_value: Males, label: sex} + - {column: E, row: 8725, expected_value: Employee, label: employment type} + - {column: J, row: 8725, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8727 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8727, expected_value: E12000009, label: geography} + - {column: D, row: 8727, expected_value: Males, label: sex} + - {column: E, row: 8727, expected_value: Employee, label: employment type} + - {column: J, row: 8727, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8729 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8729, expected_value: E12000009, label: geography} + - {column: D, row: 8729, expected_value: Males, label: sex} + - {column: E, row: 8729, expected_value: Employee, label: employment type} + - {column: J, row: 8729, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8731 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8731, expected_value: E12000009, label: geography} + - {column: D, row: 8731, expected_value: Males, label: sex} + - {column: E, row: 8731, expected_value: Employee, label: employment type} + - {column: J, row: 8731, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8733 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8733, expected_value: E12000009, label: geography} + - {column: D, row: 8733, expected_value: Males, label: sex} + - {column: E, row: 8733, expected_value: Employee, label: employment type} + - {column: J, row: 8733, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8735 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8735, expected_value: E12000009, label: geography} + - {column: D, row: 8735, expected_value: Males, label: sex} + - {column: E, row: 8735, expected_value: Employee, label: employment type} + - {column: J, row: 8735, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8737 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8737, expected_value: E12000009, label: geography} + - {column: D, row: 8737, expected_value: Males, label: sex} + - {column: E, row: 8737, expected_value: Employee, label: employment type} + - {column: J, row: 8737, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8739 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8739, expected_value: E12000009, label: geography} + - {column: D, row: 8739, expected_value: Males, label: sex} + - {column: E, row: 8739, expected_value: Employee, label: employment type} + - {column: J, row: 8739, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8741 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8741, expected_value: E12000009, label: geography} + - {column: D, row: 8741, expected_value: Males, label: sex} + - {column: E, row: 8741, expected_value: Employee, label: employment type} + - {column: J, row: 8741, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8743 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8743, expected_value: E12000009, label: geography} + - {column: D, row: 8743, expected_value: Males, label: sex} + - {column: E, row: 8743, expected_value: Employee, label: employment type} + - {column: J, row: 8743, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8745 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8745, expected_value: E12000009, label: geography} + - {column: D, row: 8745, expected_value: Males, label: sex} + - {column: E, row: 8745, expected_value: Employee, label: employment type} + - {column: J, row: 8745, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8747 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8747, expected_value: E12000009, label: geography} + - {column: D, row: 8747, expected_value: Males, label: sex} + - {column: E, row: 8747, expected_value: Employee, label: employment type} + - {column: J, row: 8747, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8751 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8751, expected_value: E12000009, label: geography} + - {column: D, row: 8751, expected_value: Males, label: sex} + - {column: E, row: 8751, expected_value: Employee, label: employment type} + - {column: J, row: 8751, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8753 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8753, expected_value: E12000009, label: geography} + - {column: D, row: 8753, expected_value: Males, label: sex} + - {column: E, row: 8753, expected_value: Employee, label: employment type} + - {column: J, row: 8753, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8755 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8755, expected_value: E12000009, label: geography} + - {column: D, row: 8755, expected_value: Males, label: sex} + - {column: E, row: 8755, expected_value: Employee, label: employment type} + - {column: J, row: 8755, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8757 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8757, expected_value: E12000009, label: geography} + - {column: D, row: 8757, expected_value: Males, label: sex} + - {column: E, row: 8757, expected_value: Employee, label: employment type} + - {column: J, row: 8757, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8759 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8759, expected_value: E12000009, label: geography} + - {column: D, row: 8759, expected_value: Males, label: sex} + - {column: E, row: 8759, expected_value: Employee, label: employment type} + - {column: J, row: 8759, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8761 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8761, expected_value: E12000009, label: geography} + - {column: D, row: 8761, expected_value: Males, label: sex} + - {column: E, row: 8761, expected_value: Employee, label: employment type} + - {column: J, row: 8761, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8763 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8763, expected_value: E12000009, label: geography} + - {column: D, row: 8763, expected_value: Males, label: sex} + - {column: E, row: 8763, expected_value: Employee, label: employment type} + - {column: J, row: 8763, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8765 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8765, expected_value: E12000009, label: geography} + - {column: D, row: 8765, expected_value: Males, label: sex} + - {column: E, row: 8765, expected_value: Employee, label: employment type} + - {column: J, row: 8765, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8769 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8769, expected_value: E12000009, label: geography} + - {column: D, row: 8769, expected_value: Males, label: sex} + - {column: E, row: 8769, expected_value: Employee, label: employment type} + - {column: J, row: 8769, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8771 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8771, expected_value: E12000009, label: geography} + - {column: D, row: 8771, expected_value: Males, label: sex} + - {column: E, row: 8771, expected_value: Employee, label: employment type} + - {column: J, row: 8771, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8773 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8773, expected_value: E12000009, label: geography} + - {column: D, row: 8773, expected_value: Males, label: sex} + - {column: E, row: 8773, expected_value: Employee, label: employment type} + - {column: J, row: 8773, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8775 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8775, expected_value: E12000009, label: geography} + - {column: D, row: 8775, expected_value: Males, label: sex} + - {column: E, row: 8775, expected_value: Employee, label: employment type} + - {column: J, row: 8775, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8777 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8777, expected_value: E12000009, label: geography} + - {column: D, row: 8777, expected_value: Males, label: sex} + - {column: E, row: 8777, expected_value: Employee, label: employment type} + - {column: J, row: 8777, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8779 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8779, expected_value: E12000009, label: geography} + - {column: D, row: 8779, expected_value: Males, label: sex} + - {column: E, row: 8779, expected_value: Employee, label: employment type} + - {column: J, row: 8779, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8781 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8781, expected_value: E12000009, label: geography} + - {column: D, row: 8781, expected_value: Males, label: sex} + - {column: E, row: 8781, expected_value: Employee, label: employment type} + - {column: J, row: 8781, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8783 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8783, expected_value: E12000009, label: geography} + - {column: D, row: 8783, expected_value: Males, label: sex} + - {column: E, row: 8783, expected_value: Employee, label: employment type} + - {column: J, row: 8783, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8785 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8785, expected_value: E12000009, label: geography} + - {column: D, row: 8785, expected_value: Males, label: sex} + - {column: E, row: 8785, expected_value: Employee, label: employment type} + - {column: J, row: 8785, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8930 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8930, expected_value: E12000009, label: geography} + - {column: D, row: 8930, expected_value: Males, label: sex} + - {column: E, row: 8930, expected_value: Self-employed, label: employment type} + - {column: J, row: 8930, expected_value: Value, label: measure} + - {column: L, row: 8931, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8932 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8932, expected_value: E12000009, label: geography} + - {column: D, row: 8932, expected_value: Males, label: sex} + - {column: E, row: 8932, expected_value: Self-employed, label: employment type} + - {column: J, row: 8932, expected_value: Value, label: measure} + - {column: L, row: 8933, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8934 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8934, expected_value: E12000009, label: geography} + - {column: D, row: 8934, expected_value: Males, label: sex} + - {column: E, row: 8934, expected_value: Self-employed, label: employment type} + - {column: J, row: 8934, expected_value: Value, label: measure} + - {column: L, row: 8935, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8936 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8936, expected_value: E12000009, label: geography} + - {column: D, row: 8936, expected_value: Males, label: sex} + - {column: E, row: 8936, expected_value: Self-employed, label: employment type} + - {column: J, row: 8936, expected_value: Value, label: measure} + - {column: L, row: 8937, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8938 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8938, expected_value: E12000009, label: geography} + - {column: D, row: 8938, expected_value: Males, label: sex} + - {column: E, row: 8938, expected_value: Self-employed, label: employment type} + - {column: J, row: 8938, expected_value: Value, label: measure} + - {column: L, row: 8939, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8940 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8940, expected_value: E12000009, label: geography} + - {column: D, row: 8940, expected_value: Males, label: sex} + - {column: E, row: 8940, expected_value: Self-employed, label: employment type} + - {column: J, row: 8940, expected_value: Value, label: measure} + - {column: L, row: 8941, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8942 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8942, expected_value: E12000009, label: geography} + - {column: D, row: 8942, expected_value: Males, label: sex} + - {column: E, row: 8942, expected_value: Self-employed, label: employment type} + - {column: J, row: 8942, expected_value: Value, label: measure} + - {column: L, row: 8943, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8944 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8944, expected_value: E12000009, label: geography} + - {column: D, row: 8944, expected_value: Males, label: sex} + - {column: E, row: 8944, expected_value: Self-employed, label: employment type} + - {column: J, row: 8944, expected_value: Value, label: measure} + - {column: L, row: 8945, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8946 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8946, expected_value: E12000009, label: geography} + - {column: D, row: 8946, expected_value: Males, label: sex} + - {column: E, row: 8946, expected_value: Self-employed, label: employment type} + - {column: J, row: 8946, expected_value: Value, label: measure} + - {column: L, row: 8947, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8948 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8948, expected_value: E12000009, label: geography} + - {column: D, row: 8948, expected_value: Males, label: sex} + - {column: E, row: 8948, expected_value: Self-employed, label: employment type} + - {column: J, row: 8948, expected_value: Value, label: measure} + - {column: L, row: 8949, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8950 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8950, expected_value: E12000009, label: geography} + - {column: D, row: 8950, expected_value: Males, label: sex} + - {column: E, row: 8950, expected_value: Self-employed, label: employment type} + - {column: J, row: 8950, expected_value: Value, label: measure} + - {column: L, row: 8951, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8952 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8952, expected_value: E12000009, label: geography} + - {column: D, row: 8952, expected_value: Males, label: sex} + - {column: E, row: 8952, expected_value: Self-employed, label: employment type} + - {column: J, row: 8952, expected_value: Value, label: measure} + - {column: L, row: 8953, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8954 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8954, expected_value: E12000009, label: geography} + - {column: D, row: 8954, expected_value: Males, label: sex} + - {column: E, row: 8954, expected_value: Self-employed, label: employment type} + - {column: J, row: 8954, expected_value: Value, label: measure} + - {column: L, row: 8955, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8956 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8956, expected_value: E12000009, label: geography} + - {column: D, row: 8956, expected_value: Males, label: sex} + - {column: E, row: 8956, expected_value: Self-employed, label: employment type} + - {column: J, row: 8956, expected_value: Value, label: measure} + - {column: L, row: 8957, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8958 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8958, expected_value: E12000009, label: geography} + - {column: D, row: 8958, expected_value: Males, label: sex} + - {column: E, row: 8958, expected_value: Self-employed, label: employment type} + - {column: J, row: 8958, expected_value: Value, label: measure} + - {column: L, row: 8959, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8960 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8960, expected_value: E12000009, label: geography} + - {column: D, row: 8960, expected_value: Males, label: sex} + - {column: E, row: 8960, expected_value: Self-employed, label: employment type} + - {column: J, row: 8960, expected_value: Value, label: measure} + - {column: L, row: 8961, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8962 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8962, expected_value: E12000009, label: geography} + - {column: D, row: 8962, expected_value: Males, label: sex} + - {column: E, row: 8962, expected_value: Self-employed, label: employment type} + - {column: J, row: 8962, expected_value: Value, label: measure} + - {column: L, row: 8963, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8966 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8966, expected_value: E12000009, label: geography} + - {column: D, row: 8966, expected_value: Males, label: sex} + - {column: E, row: 8966, expected_value: Self-employed, label: employment type} + - {column: J, row: 8966, expected_value: Value, label: measure} + - {column: L, row: 8967, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8968 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8968, expected_value: E12000009, label: geography} + - {column: D, row: 8968, expected_value: Males, label: sex} + - {column: E, row: 8968, expected_value: Self-employed, label: employment type} + - {column: J, row: 8968, expected_value: Value, label: measure} + - {column: L, row: 8969, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8970 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8970, expected_value: E12000009, label: geography} + - {column: D, row: 8970, expected_value: Males, label: sex} + - {column: E, row: 8970, expected_value: Self-employed, label: employment type} + - {column: J, row: 8970, expected_value: Value, label: measure} + - {column: L, row: 8971, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8972 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8972, expected_value: E12000009, label: geography} + - {column: D, row: 8972, expected_value: Males, label: sex} + - {column: E, row: 8972, expected_value: Self-employed, label: employment type} + - {column: J, row: 8972, expected_value: Value, label: measure} + - {column: L, row: 8973, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8974 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8974, expected_value: E12000009, label: geography} + - {column: D, row: 8974, expected_value: Males, label: sex} + - {column: E, row: 8974, expected_value: Self-employed, label: employment type} + - {column: J, row: 8974, expected_value: Value, label: measure} + - {column: L, row: 8975, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8976 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8976, expected_value: E12000009, label: geography} + - {column: D, row: 8976, expected_value: Males, label: sex} + - {column: E, row: 8976, expected_value: Self-employed, label: employment type} + - {column: J, row: 8976, expected_value: Value, label: measure} + - {column: L, row: 8977, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8978 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8978, expected_value: E12000009, label: geography} + - {column: D, row: 8978, expected_value: Males, label: sex} + - {column: E, row: 8978, expected_value: Self-employed, label: employment type} + - {column: J, row: 8978, expected_value: Value, label: measure} + - {column: L, row: 8979, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8980 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8980, expected_value: E12000009, label: geography} + - {column: D, row: 8980, expected_value: Males, label: sex} + - {column: E, row: 8980, expected_value: Self-employed, label: employment type} + - {column: J, row: 8980, expected_value: Value, label: measure} + - {column: L, row: 8981, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8984 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8984, expected_value: E12000009, label: geography} + - {column: D, row: 8984, expected_value: Males, label: sex} + - {column: E, row: 8984, expected_value: Self-employed, label: employment type} + - {column: J, row: 8984, expected_value: Value, label: measure} + - {column: L, row: 8985, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8986 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8986, expected_value: E12000009, label: geography} + - {column: D, row: 8986, expected_value: Males, label: sex} + - {column: E, row: 8986, expected_value: Self-employed, label: employment type} + - {column: J, row: 8986, expected_value: Value, label: measure} + - {column: L, row: 8987, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8988 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8988, expected_value: E12000009, label: geography} + - {column: D, row: 8988, expected_value: Males, label: sex} + - {column: E, row: 8988, expected_value: Self-employed, label: employment type} + - {column: J, row: 8988, expected_value: Value, label: measure} + - {column: L, row: 8989, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8990 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8990, expected_value: E12000009, label: geography} + - {column: D, row: 8990, expected_value: Males, label: sex} + - {column: E, row: 8990, expected_value: Self-employed, label: employment type} + - {column: J, row: 8990, expected_value: Value, label: measure} + - {column: L, row: 8991, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8992 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8992, expected_value: E12000009, label: geography} + - {column: D, row: 8992, expected_value: Males, label: sex} + - {column: E, row: 8992, expected_value: Self-employed, label: employment type} + - {column: J, row: 8992, expected_value: Value, label: measure} + - {column: L, row: 8993, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8994 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8994, expected_value: E12000009, label: geography} + - {column: D, row: 8994, expected_value: Males, label: sex} + - {column: E, row: 8994, expected_value: Self-employed, label: employment type} + - {column: J, row: 8994, expected_value: Value, label: measure} + - {column: L, row: 8995, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8996 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8996, expected_value: E12000009, label: geography} + - {column: D, row: 8996, expected_value: Males, label: sex} + - {column: E, row: 8996, expected_value: Self-employed, label: employment type} + - {column: J, row: 8996, expected_value: Value, label: measure} + - {column: L, row: 8997, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8998 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8998, expected_value: E12000009, label: geography} + - {column: D, row: 8998, expected_value: Males, label: sex} + - {column: E, row: 8998, expected_value: Self-employed, label: employment type} + - {column: J, row: 8998, expected_value: Value, label: measure} + - {column: L, row: 8999, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9000 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9000, expected_value: E12000009, label: geography} + - {column: D, row: 9000, expected_value: Males, label: sex} + - {column: E, row: 9000, expected_value: Self-employed, label: employment type} + - {column: J, row: 9000, expected_value: Value, label: measure} + - {column: L, row: 9001, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8931 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8931, expected_value: E12000009, label: geography} + - {column: D, row: 8931, expected_value: Males, label: sex} + - {column: E, row: 8931, expected_value: Self-employed, label: employment type} + - {column: J, row: 8931, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8933 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8933, expected_value: E12000009, label: geography} + - {column: D, row: 8933, expected_value: Males, label: sex} + - {column: E, row: 8933, expected_value: Self-employed, label: employment type} + - {column: J, row: 8933, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8935 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8935, expected_value: E12000009, label: geography} + - {column: D, row: 8935, expected_value: Males, label: sex} + - {column: E, row: 8935, expected_value: Self-employed, label: employment type} + - {column: J, row: 8935, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8937 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8937, expected_value: E12000009, label: geography} + - {column: D, row: 8937, expected_value: Males, label: sex} + - {column: E, row: 8937, expected_value: Self-employed, label: employment type} + - {column: J, row: 8937, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8939 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8939, expected_value: E12000009, label: geography} + - {column: D, row: 8939, expected_value: Males, label: sex} + - {column: E, row: 8939, expected_value: Self-employed, label: employment type} + - {column: J, row: 8939, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8941 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8941, expected_value: E12000009, label: geography} + - {column: D, row: 8941, expected_value: Males, label: sex} + - {column: E, row: 8941, expected_value: Self-employed, label: employment type} + - {column: J, row: 8941, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8943 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8943, expected_value: E12000009, label: geography} + - {column: D, row: 8943, expected_value: Males, label: sex} + - {column: E, row: 8943, expected_value: Self-employed, label: employment type} + - {column: J, row: 8943, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8945 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8945, expected_value: E12000009, label: geography} + - {column: D, row: 8945, expected_value: Males, label: sex} + - {column: E, row: 8945, expected_value: Self-employed, label: employment type} + - {column: J, row: 8945, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8947 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8947, expected_value: E12000009, label: geography} + - {column: D, row: 8947, expected_value: Males, label: sex} + - {column: E, row: 8947, expected_value: Self-employed, label: employment type} + - {column: J, row: 8947, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8949 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8949, expected_value: E12000009, label: geography} + - {column: D, row: 8949, expected_value: Males, label: sex} + - {column: E, row: 8949, expected_value: Self-employed, label: employment type} + - {column: J, row: 8949, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8957 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8957, expected_value: E12000009, label: geography} + - {column: D, row: 8957, expected_value: Males, label: sex} + - {column: E, row: 8957, expected_value: Self-employed, label: employment type} + - {column: J, row: 8957, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8959 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8959, expected_value: E12000009, label: geography} + - {column: D, row: 8959, expected_value: Males, label: sex} + - {column: E, row: 8959, expected_value: Self-employed, label: employment type} + - {column: J, row: 8959, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8967 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8967, expected_value: E12000009, label: geography} + - {column: D, row: 8967, expected_value: Males, label: sex} + - {column: E, row: 8967, expected_value: Self-employed, label: employment type} + - {column: J, row: 8967, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8969 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8969, expected_value: E12000009, label: geography} + - {column: D, row: 8969, expected_value: Males, label: sex} + - {column: E, row: 8969, expected_value: Self-employed, label: employment type} + - {column: J, row: 8969, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8971 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8971, expected_value: E12000009, label: geography} + - {column: D, row: 8971, expected_value: Males, label: sex} + - {column: E, row: 8971, expected_value: Self-employed, label: employment type} + - {column: J, row: 8971, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8973 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8973, expected_value: E12000009, label: geography} + - {column: D, row: 8973, expected_value: Males, label: sex} + - {column: E, row: 8973, expected_value: Self-employed, label: employment type} + - {column: J, row: 8973, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8975 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8975, expected_value: E12000009, label: geography} + - {column: D, row: 8975, expected_value: Males, label: sex} + - {column: E, row: 8975, expected_value: Self-employed, label: employment type} + - {column: J, row: 8975, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8977 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8977, expected_value: E12000009, label: geography} + - {column: D, row: 8977, expected_value: Males, label: sex} + - {column: E, row: 8977, expected_value: Self-employed, label: employment type} + - {column: J, row: 8977, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8985 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8985, expected_value: E12000009, label: geography} + - {column: D, row: 8985, expected_value: Males, label: sex} + - {column: E, row: 8985, expected_value: Self-employed, label: employment type} + - {column: J, row: 8985, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8987 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8987, expected_value: E12000009, label: geography} + - {column: D, row: 8987, expected_value: Males, label: sex} + - {column: E, row: 8987, expected_value: Self-employed, label: employment type} + - {column: J, row: 8987, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8991 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8991, expected_value: E12000009, label: geography} + - {column: D, row: 8991, expected_value: Males, label: sex} + - {column: E, row: 8991, expected_value: Self-employed, label: employment type} + - {column: J, row: 8991, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8993 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8993, expected_value: E12000009, label: geography} + - {column: D, row: 8993, expected_value: Males, label: sex} + - {column: E, row: 8993, expected_value: Self-employed, label: employment type} + - {column: J, row: 8993, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8995 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8995, expected_value: E12000009, label: geography} + - {column: D, row: 8995, expected_value: Males, label: sex} + - {column: E, row: 8995, expected_value: Self-employed, label: employment type} + - {column: J, row: 8995, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8997 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8997, expected_value: E12000009, label: geography} + - {column: D, row: 8997, expected_value: Males, label: sex} + - {column: E, row: 8997, expected_value: Self-employed, label: employment type} + - {column: J, row: 8997, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8999 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8999, expected_value: E12000009, label: geography} + - {column: D, row: 8999, expected_value: Males, label: sex} + - {column: E, row: 8999, expected_value: Self-employed, label: employment type} + - {column: J, row: 8999, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9001 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9001, expected_value: E12000009, label: geography} + - {column: D, row: 9001, expected_value: Males, label: sex} + - {column: E, row: 9001, expected_value: Self-employed, label: employment type} + - {column: J, row: 9001, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.all.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8570 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8570, expected_value: E12000009, label: geography} + - {column: D, row: 8570, expected_value: Females, label: sex} + - {column: E, row: 8570, expected_value: Total, label: employment type} + - {column: J, row: 8570, expected_value: Value, label: measure} + - {column: L, row: 8571, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8572 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8572, expected_value: E12000009, label: geography} + - {column: D, row: 8572, expected_value: Females, label: sex} + - {column: E, row: 8572, expected_value: Total, label: employment type} + - {column: J, row: 8572, expected_value: Value, label: measure} + - {column: L, row: 8573, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8574 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8574, expected_value: E12000009, label: geography} + - {column: D, row: 8574, expected_value: Females, label: sex} + - {column: E, row: 8574, expected_value: Total, label: employment type} + - {column: J, row: 8574, expected_value: Value, label: measure} + - {column: L, row: 8575, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8576 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8576, expected_value: E12000009, label: geography} + - {column: D, row: 8576, expected_value: Females, label: sex} + - {column: E, row: 8576, expected_value: Total, label: employment type} + - {column: J, row: 8576, expected_value: Value, label: measure} + - {column: L, row: 8577, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8578 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8578, expected_value: E12000009, label: geography} + - {column: D, row: 8578, expected_value: Females, label: sex} + - {column: E, row: 8578, expected_value: Total, label: employment type} + - {column: J, row: 8578, expected_value: Value, label: measure} + - {column: L, row: 8579, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8580 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8580, expected_value: E12000009, label: geography} + - {column: D, row: 8580, expected_value: Females, label: sex} + - {column: E, row: 8580, expected_value: Total, label: employment type} + - {column: J, row: 8580, expected_value: Value, label: measure} + - {column: L, row: 8581, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8582 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8582, expected_value: E12000009, label: geography} + - {column: D, row: 8582, expected_value: Females, label: sex} + - {column: E, row: 8582, expected_value: Total, label: employment type} + - {column: J, row: 8582, expected_value: Value, label: measure} + - {column: L, row: 8583, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8584 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8584, expected_value: E12000009, label: geography} + - {column: D, row: 8584, expected_value: Females, label: sex} + - {column: E, row: 8584, expected_value: Total, label: employment type} + - {column: J, row: 8584, expected_value: Value, label: measure} + - {column: L, row: 8585, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8586 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8586, expected_value: E12000009, label: geography} + - {column: D, row: 8586, expected_value: Females, label: sex} + - {column: E, row: 8586, expected_value: Total, label: employment type} + - {column: J, row: 8586, expected_value: Value, label: measure} + - {column: L, row: 8587, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8588 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8588, expected_value: E12000009, label: geography} + - {column: D, row: 8588, expected_value: Females, label: sex} + - {column: E, row: 8588, expected_value: Total, label: employment type} + - {column: J, row: 8588, expected_value: Value, label: measure} + - {column: L, row: 8589, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8590 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8590, expected_value: E12000009, label: geography} + - {column: D, row: 8590, expected_value: Females, label: sex} + - {column: E, row: 8590, expected_value: Total, label: employment type} + - {column: J, row: 8590, expected_value: Value, label: measure} + - {column: L, row: 8591, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8592 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8592, expected_value: E12000009, label: geography} + - {column: D, row: 8592, expected_value: Females, label: sex} + - {column: E, row: 8592, expected_value: Total, label: employment type} + - {column: J, row: 8592, expected_value: Value, label: measure} + - {column: L, row: 8593, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8594 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8594, expected_value: E12000009, label: geography} + - {column: D, row: 8594, expected_value: Females, label: sex} + - {column: E, row: 8594, expected_value: Total, label: employment type} + - {column: J, row: 8594, expected_value: Value, label: measure} + - {column: L, row: 8595, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8596 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8596, expected_value: E12000009, label: geography} + - {column: D, row: 8596, expected_value: Females, label: sex} + - {column: E, row: 8596, expected_value: Total, label: employment type} + - {column: J, row: 8596, expected_value: Value, label: measure} + - {column: L, row: 8597, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8598 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8598, expected_value: E12000009, label: geography} + - {column: D, row: 8598, expected_value: Females, label: sex} + - {column: E, row: 8598, expected_value: Total, label: employment type} + - {column: J, row: 8598, expected_value: Value, label: measure} + - {column: L, row: 8599, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8600 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8600, expected_value: E12000009, label: geography} + - {column: D, row: 8600, expected_value: Females, label: sex} + - {column: E, row: 8600, expected_value: Total, label: employment type} + - {column: J, row: 8600, expected_value: Value, label: measure} + - {column: L, row: 8601, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8602 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8602, expected_value: E12000009, label: geography} + - {column: D, row: 8602, expected_value: Females, label: sex} + - {column: E, row: 8602, expected_value: Total, label: employment type} + - {column: J, row: 8602, expected_value: Value, label: measure} + - {column: L, row: 8603, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8604 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8604, expected_value: E12000009, label: geography} + - {column: D, row: 8604, expected_value: Females, label: sex} + - {column: E, row: 8604, expected_value: Total, label: employment type} + - {column: J, row: 8604, expected_value: Value, label: measure} + - {column: L, row: 8605, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8606 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8606, expected_value: E12000009, label: geography} + - {column: D, row: 8606, expected_value: Females, label: sex} + - {column: E, row: 8606, expected_value: Total, label: employment type} + - {column: J, row: 8606, expected_value: Value, label: measure} + - {column: L, row: 8607, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8608 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8608, expected_value: E12000009, label: geography} + - {column: D, row: 8608, expected_value: Females, label: sex} + - {column: E, row: 8608, expected_value: Total, label: employment type} + - {column: J, row: 8608, expected_value: Value, label: measure} + - {column: L, row: 8609, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8610 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8610, expected_value: E12000009, label: geography} + - {column: D, row: 8610, expected_value: Females, label: sex} + - {column: E, row: 8610, expected_value: Total, label: employment type} + - {column: J, row: 8610, expected_value: Value, label: measure} + - {column: L, row: 8611, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8612 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8612, expected_value: E12000009, label: geography} + - {column: D, row: 8612, expected_value: Females, label: sex} + - {column: E, row: 8612, expected_value: Total, label: employment type} + - {column: J, row: 8612, expected_value: Value, label: measure} + - {column: L, row: 8613, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8614 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8614, expected_value: E12000009, label: geography} + - {column: D, row: 8614, expected_value: Females, label: sex} + - {column: E, row: 8614, expected_value: Total, label: employment type} + - {column: J, row: 8614, expected_value: Value, label: measure} + - {column: L, row: 8615, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8616 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8616, expected_value: E12000009, label: geography} + - {column: D, row: 8616, expected_value: Females, label: sex} + - {column: E, row: 8616, expected_value: Total, label: employment type} + - {column: J, row: 8616, expected_value: Value, label: measure} + - {column: L, row: 8617, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8618 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8618, expected_value: E12000009, label: geography} + - {column: D, row: 8618, expected_value: Females, label: sex} + - {column: E, row: 8618, expected_value: Total, label: employment type} + - {column: J, row: 8618, expected_value: Value, label: measure} + - {column: L, row: 8619, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8620 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8620, expected_value: E12000009, label: geography} + - {column: D, row: 8620, expected_value: Females, label: sex} + - {column: E, row: 8620, expected_value: Total, label: employment type} + - {column: J, row: 8620, expected_value: Value, label: measure} + - {column: L, row: 8621, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8624 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8624, expected_value: E12000009, label: geography} + - {column: D, row: 8624, expected_value: Females, label: sex} + - {column: E, row: 8624, expected_value: Total, label: employment type} + - {column: J, row: 8624, expected_value: Value, label: measure} + - {column: L, row: 8625, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8626 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8626, expected_value: E12000009, label: geography} + - {column: D, row: 8626, expected_value: Females, label: sex} + - {column: E, row: 8626, expected_value: Total, label: employment type} + - {column: J, row: 8626, expected_value: Value, label: measure} + - {column: L, row: 8627, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8628 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8628, expected_value: E12000009, label: geography} + - {column: D, row: 8628, expected_value: Females, label: sex} + - {column: E, row: 8628, expected_value: Total, label: employment type} + - {column: J, row: 8628, expected_value: Value, label: measure} + - {column: L, row: 8629, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8630 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8630, expected_value: E12000009, label: geography} + - {column: D, row: 8630, expected_value: Females, label: sex} + - {column: E, row: 8630, expected_value: Total, label: employment type} + - {column: J, row: 8630, expected_value: Value, label: measure} + - {column: L, row: 8631, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8632 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8632, expected_value: E12000009, label: geography} + - {column: D, row: 8632, expected_value: Females, label: sex} + - {column: E, row: 8632, expected_value: Total, label: employment type} + - {column: J, row: 8632, expected_value: Value, label: measure} + - {column: L, row: 8633, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8634 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8634, expected_value: E12000009, label: geography} + - {column: D, row: 8634, expected_value: Females, label: sex} + - {column: E, row: 8634, expected_value: Total, label: employment type} + - {column: J, row: 8634, expected_value: Value, label: measure} + - {column: L, row: 8635, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8636 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8636, expected_value: E12000009, label: geography} + - {column: D, row: 8636, expected_value: Females, label: sex} + - {column: E, row: 8636, expected_value: Total, label: employment type} + - {column: J, row: 8636, expected_value: Value, label: measure} + - {column: L, row: 8637, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8638 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8638, expected_value: E12000009, label: geography} + - {column: D, row: 8638, expected_value: Females, label: sex} + - {column: E, row: 8638, expected_value: Total, label: employment type} + - {column: J, row: 8638, expected_value: Value, label: measure} + - {column: L, row: 8639, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8640 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8640, expected_value: E12000009, label: geography} + - {column: D, row: 8640, expected_value: Females, label: sex} + - {column: E, row: 8640, expected_value: Total, label: employment type} + - {column: J, row: 8640, expected_value: Value, label: measure} + - {column: L, row: 8641, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8571 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8571, expected_value: E12000009, label: geography} + - {column: D, row: 8571, expected_value: Females, label: sex} + - {column: E, row: 8571, expected_value: Total, label: employment type} + - {column: J, row: 8571, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8573 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8573, expected_value: E12000009, label: geography} + - {column: D, row: 8573, expected_value: Females, label: sex} + - {column: E, row: 8573, expected_value: Total, label: employment type} + - {column: J, row: 8573, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8575 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8575, expected_value: E12000009, label: geography} + - {column: D, row: 8575, expected_value: Females, label: sex} + - {column: E, row: 8575, expected_value: Total, label: employment type} + - {column: J, row: 8575, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8577 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8577, expected_value: E12000009, label: geography} + - {column: D, row: 8577, expected_value: Females, label: sex} + - {column: E, row: 8577, expected_value: Total, label: employment type} + - {column: J, row: 8577, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8579 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8579, expected_value: E12000009, label: geography} + - {column: D, row: 8579, expected_value: Females, label: sex} + - {column: E, row: 8579, expected_value: Total, label: employment type} + - {column: J, row: 8579, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8581 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8581, expected_value: E12000009, label: geography} + - {column: D, row: 8581, expected_value: Females, label: sex} + - {column: E, row: 8581, expected_value: Total, label: employment type} + - {column: J, row: 8581, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8583 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8583, expected_value: E12000009, label: geography} + - {column: D, row: 8583, expected_value: Females, label: sex} + - {column: E, row: 8583, expected_value: Total, label: employment type} + - {column: J, row: 8583, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8585 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8585, expected_value: E12000009, label: geography} + - {column: D, row: 8585, expected_value: Females, label: sex} + - {column: E, row: 8585, expected_value: Total, label: employment type} + - {column: J, row: 8585, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8587 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8587, expected_value: E12000009, label: geography} + - {column: D, row: 8587, expected_value: Females, label: sex} + - {column: E, row: 8587, expected_value: Total, label: employment type} + - {column: J, row: 8587, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8589 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8589, expected_value: E12000009, label: geography} + - {column: D, row: 8589, expected_value: Females, label: sex} + - {column: E, row: 8589, expected_value: Total, label: employment type} + - {column: J, row: 8589, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8591 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8591, expected_value: E12000009, label: geography} + - {column: D, row: 8591, expected_value: Females, label: sex} + - {column: E, row: 8591, expected_value: Total, label: employment type} + - {column: J, row: 8591, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8593 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8593, expected_value: E12000009, label: geography} + - {column: D, row: 8593, expected_value: Females, label: sex} + - {column: E, row: 8593, expected_value: Total, label: employment type} + - {column: J, row: 8593, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8595 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8595, expected_value: E12000009, label: geography} + - {column: D, row: 8595, expected_value: Females, label: sex} + - {column: E, row: 8595, expected_value: Total, label: employment type} + - {column: J, row: 8595, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8597 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8597, expected_value: E12000009, label: geography} + - {column: D, row: 8597, expected_value: Females, label: sex} + - {column: E, row: 8597, expected_value: Total, label: employment type} + - {column: J, row: 8597, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8599 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8599, expected_value: E12000009, label: geography} + - {column: D, row: 8599, expected_value: Females, label: sex} + - {column: E, row: 8599, expected_value: Total, label: employment type} + - {column: J, row: 8599, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8601 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8601, expected_value: E12000009, label: geography} + - {column: D, row: 8601, expected_value: Females, label: sex} + - {column: E, row: 8601, expected_value: Total, label: employment type} + - {column: J, row: 8601, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8603 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8603, expected_value: E12000009, label: geography} + - {column: D, row: 8603, expected_value: Females, label: sex} + - {column: E, row: 8603, expected_value: Total, label: employment type} + - {column: J, row: 8603, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8605 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8605, expected_value: E12000009, label: geography} + - {column: D, row: 8605, expected_value: Females, label: sex} + - {column: E, row: 8605, expected_value: Total, label: employment type} + - {column: J, row: 8605, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8607 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8607, expected_value: E12000009, label: geography} + - {column: D, row: 8607, expected_value: Females, label: sex} + - {column: E, row: 8607, expected_value: Total, label: employment type} + - {column: J, row: 8607, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8609 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8609, expected_value: E12000009, label: geography} + - {column: D, row: 8609, expected_value: Females, label: sex} + - {column: E, row: 8609, expected_value: Total, label: employment type} + - {column: J, row: 8609, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8611 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8611, expected_value: E12000009, label: geography} + - {column: D, row: 8611, expected_value: Females, label: sex} + - {column: E, row: 8611, expected_value: Total, label: employment type} + - {column: J, row: 8611, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8615 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8615, expected_value: E12000009, label: geography} + - {column: D, row: 8615, expected_value: Females, label: sex} + - {column: E, row: 8615, expected_value: Total, label: employment type} + - {column: J, row: 8615, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8617 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8617, expected_value: E12000009, label: geography} + - {column: D, row: 8617, expected_value: Females, label: sex} + - {column: E, row: 8617, expected_value: Total, label: employment type} + - {column: J, row: 8617, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8619 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8619, expected_value: E12000009, label: geography} + - {column: D, row: 8619, expected_value: Females, label: sex} + - {column: E, row: 8619, expected_value: Total, label: employment type} + - {column: J, row: 8619, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8621 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8621, expected_value: E12000009, label: geography} + - {column: D, row: 8621, expected_value: Females, label: sex} + - {column: E, row: 8621, expected_value: Total, label: employment type} + - {column: J, row: 8621, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8625 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8625, expected_value: E12000009, label: geography} + - {column: D, row: 8625, expected_value: Females, label: sex} + - {column: E, row: 8625, expected_value: Total, label: employment type} + - {column: J, row: 8625, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8627 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8627, expected_value: E12000009, label: geography} + - {column: D, row: 8627, expected_value: Females, label: sex} + - {column: E, row: 8627, expected_value: Total, label: employment type} + - {column: J, row: 8627, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8629 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8629, expected_value: E12000009, label: geography} + - {column: D, row: 8629, expected_value: Females, label: sex} + - {column: E, row: 8629, expected_value: Total, label: employment type} + - {column: J, row: 8629, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8631 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8631, expected_value: E12000009, label: geography} + - {column: D, row: 8631, expected_value: Females, label: sex} + - {column: E, row: 8631, expected_value: Total, label: employment type} + - {column: J, row: 8631, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8633 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8633, expected_value: E12000009, label: geography} + - {column: D, row: 8633, expected_value: Females, label: sex} + - {column: E, row: 8633, expected_value: Total, label: employment type} + - {column: J, row: 8633, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8635 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8635, expected_value: E12000009, label: geography} + - {column: D, row: 8635, expected_value: Females, label: sex} + - {column: E, row: 8635, expected_value: Total, label: employment type} + - {column: J, row: 8635, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8637 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8637, expected_value: E12000009, label: geography} + - {column: D, row: 8637, expected_value: Females, label: sex} + - {column: E, row: 8637, expected_value: Total, label: employment type} + - {column: J, row: 8637, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8639 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8639, expected_value: E12000009, label: geography} + - {column: D, row: 8639, expected_value: Females, label: sex} + - {column: E, row: 8639, expected_value: Total, label: employment type} + - {column: J, row: 8639, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8641 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8641, expected_value: E12000009, label: geography} + - {column: D, row: 8641, expected_value: Females, label: sex} + - {column: E, row: 8641, expected_value: Total, label: employment type} + - {column: J, row: 8641, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8786 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8786, expected_value: E12000009, label: geography} + - {column: D, row: 8786, expected_value: Females, label: sex} + - {column: E, row: 8786, expected_value: Employee, label: employment type} + - {column: J, row: 8786, expected_value: Value, label: measure} + - {column: L, row: 8787, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8788 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8788, expected_value: E12000009, label: geography} + - {column: D, row: 8788, expected_value: Females, label: sex} + - {column: E, row: 8788, expected_value: Employee, label: employment type} + - {column: J, row: 8788, expected_value: Value, label: measure} + - {column: L, row: 8789, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8790 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8790, expected_value: E12000009, label: geography} + - {column: D, row: 8790, expected_value: Females, label: sex} + - {column: E, row: 8790, expected_value: Employee, label: employment type} + - {column: J, row: 8790, expected_value: Value, label: measure} + - {column: L, row: 8791, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8792 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8792, expected_value: E12000009, label: geography} + - {column: D, row: 8792, expected_value: Females, label: sex} + - {column: E, row: 8792, expected_value: Employee, label: employment type} + - {column: J, row: 8792, expected_value: Value, label: measure} + - {column: L, row: 8793, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8794 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8794, expected_value: E12000009, label: geography} + - {column: D, row: 8794, expected_value: Females, label: sex} + - {column: E, row: 8794, expected_value: Employee, label: employment type} + - {column: J, row: 8794, expected_value: Value, label: measure} + - {column: L, row: 8795, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8796 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8796, expected_value: E12000009, label: geography} + - {column: D, row: 8796, expected_value: Females, label: sex} + - {column: E, row: 8796, expected_value: Employee, label: employment type} + - {column: J, row: 8796, expected_value: Value, label: measure} + - {column: L, row: 8797, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8798 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8798, expected_value: E12000009, label: geography} + - {column: D, row: 8798, expected_value: Females, label: sex} + - {column: E, row: 8798, expected_value: Employee, label: employment type} + - {column: J, row: 8798, expected_value: Value, label: measure} + - {column: L, row: 8799, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8800 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8800, expected_value: E12000009, label: geography} + - {column: D, row: 8800, expected_value: Females, label: sex} + - {column: E, row: 8800, expected_value: Employee, label: employment type} + - {column: J, row: 8800, expected_value: Value, label: measure} + - {column: L, row: 8801, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8802 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8802, expected_value: E12000009, label: geography} + - {column: D, row: 8802, expected_value: Females, label: sex} + - {column: E, row: 8802, expected_value: Employee, label: employment type} + - {column: J, row: 8802, expected_value: Value, label: measure} + - {column: L, row: 8803, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8804 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8804, expected_value: E12000009, label: geography} + - {column: D, row: 8804, expected_value: Females, label: sex} + - {column: E, row: 8804, expected_value: Employee, label: employment type} + - {column: J, row: 8804, expected_value: Value, label: measure} + - {column: L, row: 8805, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8806 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8806, expected_value: E12000009, label: geography} + - {column: D, row: 8806, expected_value: Females, label: sex} + - {column: E, row: 8806, expected_value: Employee, label: employment type} + - {column: J, row: 8806, expected_value: Value, label: measure} + - {column: L, row: 8807, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8808 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8808, expected_value: E12000009, label: geography} + - {column: D, row: 8808, expected_value: Females, label: sex} + - {column: E, row: 8808, expected_value: Employee, label: employment type} + - {column: J, row: 8808, expected_value: Value, label: measure} + - {column: L, row: 8809, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8810 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8810, expected_value: E12000009, label: geography} + - {column: D, row: 8810, expected_value: Females, label: sex} + - {column: E, row: 8810, expected_value: Employee, label: employment type} + - {column: J, row: 8810, expected_value: Value, label: measure} + - {column: L, row: 8811, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8812 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8812, expected_value: E12000009, label: geography} + - {column: D, row: 8812, expected_value: Females, label: sex} + - {column: E, row: 8812, expected_value: Employee, label: employment type} + - {column: J, row: 8812, expected_value: Value, label: measure} + - {column: L, row: 8813, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8814 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8814, expected_value: E12000009, label: geography} + - {column: D, row: 8814, expected_value: Females, label: sex} + - {column: E, row: 8814, expected_value: Employee, label: employment type} + - {column: J, row: 8814, expected_value: Value, label: measure} + - {column: L, row: 8815, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8816 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8816, expected_value: E12000009, label: geography} + - {column: D, row: 8816, expected_value: Females, label: sex} + - {column: E, row: 8816, expected_value: Employee, label: employment type} + - {column: J, row: 8816, expected_value: Value, label: measure} + - {column: L, row: 8817, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8818 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8818, expected_value: E12000009, label: geography} + - {column: D, row: 8818, expected_value: Females, label: sex} + - {column: E, row: 8818, expected_value: Employee, label: employment type} + - {column: J, row: 8818, expected_value: Value, label: measure} + - {column: L, row: 8819, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8820 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8820, expected_value: E12000009, label: geography} + - {column: D, row: 8820, expected_value: Females, label: sex} + - {column: E, row: 8820, expected_value: Employee, label: employment type} + - {column: J, row: 8820, expected_value: Value, label: measure} + - {column: L, row: 8821, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8822 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8822, expected_value: E12000009, label: geography} + - {column: D, row: 8822, expected_value: Females, label: sex} + - {column: E, row: 8822, expected_value: Employee, label: employment type} + - {column: J, row: 8822, expected_value: Value, label: measure} + - {column: L, row: 8823, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8824 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8824, expected_value: E12000009, label: geography} + - {column: D, row: 8824, expected_value: Females, label: sex} + - {column: E, row: 8824, expected_value: Employee, label: employment type} + - {column: J, row: 8824, expected_value: Value, label: measure} + - {column: L, row: 8825, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8826 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8826, expected_value: E12000009, label: geography} + - {column: D, row: 8826, expected_value: Females, label: sex} + - {column: E, row: 8826, expected_value: Employee, label: employment type} + - {column: J, row: 8826, expected_value: Value, label: measure} + - {column: L, row: 8827, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8828 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8828, expected_value: E12000009, label: geography} + - {column: D, row: 8828, expected_value: Females, label: sex} + - {column: E, row: 8828, expected_value: Employee, label: employment type} + - {column: J, row: 8828, expected_value: Value, label: measure} + - {column: L, row: 8829, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8830 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8830, expected_value: E12000009, label: geography} + - {column: D, row: 8830, expected_value: Females, label: sex} + - {column: E, row: 8830, expected_value: Employee, label: employment type} + - {column: J, row: 8830, expected_value: Value, label: measure} + - {column: L, row: 8831, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8832 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8832, expected_value: E12000009, label: geography} + - {column: D, row: 8832, expected_value: Females, label: sex} + - {column: E, row: 8832, expected_value: Employee, label: employment type} + - {column: J, row: 8832, expected_value: Value, label: measure} + - {column: L, row: 8833, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8834 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8834, expected_value: E12000009, label: geography} + - {column: D, row: 8834, expected_value: Females, label: sex} + - {column: E, row: 8834, expected_value: Employee, label: employment type} + - {column: J, row: 8834, expected_value: Value, label: measure} + - {column: L, row: 8835, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8836 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8836, expected_value: E12000009, label: geography} + - {column: D, row: 8836, expected_value: Females, label: sex} + - {column: E, row: 8836, expected_value: Employee, label: employment type} + - {column: J, row: 8836, expected_value: Value, label: measure} + - {column: L, row: 8837, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8840 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8840, expected_value: E12000009, label: geography} + - {column: D, row: 8840, expected_value: Females, label: sex} + - {column: E, row: 8840, expected_value: Employee, label: employment type} + - {column: J, row: 8840, expected_value: Value, label: measure} + - {column: L, row: 8841, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8842 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8842, expected_value: E12000009, label: geography} + - {column: D, row: 8842, expected_value: Females, label: sex} + - {column: E, row: 8842, expected_value: Employee, label: employment type} + - {column: J, row: 8842, expected_value: Value, label: measure} + - {column: L, row: 8843, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8844 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8844, expected_value: E12000009, label: geography} + - {column: D, row: 8844, expected_value: Females, label: sex} + - {column: E, row: 8844, expected_value: Employee, label: employment type} + - {column: J, row: 8844, expected_value: Value, label: measure} + - {column: L, row: 8845, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8846 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8846, expected_value: E12000009, label: geography} + - {column: D, row: 8846, expected_value: Females, label: sex} + - {column: E, row: 8846, expected_value: Employee, label: employment type} + - {column: J, row: 8846, expected_value: Value, label: measure} + - {column: L, row: 8847, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8848 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8848, expected_value: E12000009, label: geography} + - {column: D, row: 8848, expected_value: Females, label: sex} + - {column: E, row: 8848, expected_value: Employee, label: employment type} + - {column: J, row: 8848, expected_value: Value, label: measure} + - {column: L, row: 8849, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8850 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8850, expected_value: E12000009, label: geography} + - {column: D, row: 8850, expected_value: Females, label: sex} + - {column: E, row: 8850, expected_value: Employee, label: employment type} + - {column: J, row: 8850, expected_value: Value, label: measure} + - {column: L, row: 8851, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8852 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8852, expected_value: E12000009, label: geography} + - {column: D, row: 8852, expected_value: Females, label: sex} + - {column: E, row: 8852, expected_value: Employee, label: employment type} + - {column: J, row: 8852, expected_value: Value, label: measure} + - {column: L, row: 8853, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8854 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8854, expected_value: E12000009, label: geography} + - {column: D, row: 8854, expected_value: Females, label: sex} + - {column: E, row: 8854, expected_value: Employee, label: employment type} + - {column: J, row: 8854, expected_value: Value, label: measure} + - {column: L, row: 8855, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8856 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8856, expected_value: E12000009, label: geography} + - {column: D, row: 8856, expected_value: Females, label: sex} + - {column: E, row: 8856, expected_value: Employee, label: employment type} + - {column: J, row: 8856, expected_value: Value, label: measure} + - {column: L, row: 8857, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8787 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8787, expected_value: E12000009, label: geography} + - {column: D, row: 8787, expected_value: Females, label: sex} + - {column: E, row: 8787, expected_value: Employee, label: employment type} + - {column: J, row: 8787, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8789 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8789, expected_value: E12000009, label: geography} + - {column: D, row: 8789, expected_value: Females, label: sex} + - {column: E, row: 8789, expected_value: Employee, label: employment type} + - {column: J, row: 8789, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8791 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8791, expected_value: E12000009, label: geography} + - {column: D, row: 8791, expected_value: Females, label: sex} + - {column: E, row: 8791, expected_value: Employee, label: employment type} + - {column: J, row: 8791, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8793 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8793, expected_value: E12000009, label: geography} + - {column: D, row: 8793, expected_value: Females, label: sex} + - {column: E, row: 8793, expected_value: Employee, label: employment type} + - {column: J, row: 8793, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8795 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8795, expected_value: E12000009, label: geography} + - {column: D, row: 8795, expected_value: Females, label: sex} + - {column: E, row: 8795, expected_value: Employee, label: employment type} + - {column: J, row: 8795, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8797 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8797, expected_value: E12000009, label: geography} + - {column: D, row: 8797, expected_value: Females, label: sex} + - {column: E, row: 8797, expected_value: Employee, label: employment type} + - {column: J, row: 8797, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8799 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8799, expected_value: E12000009, label: geography} + - {column: D, row: 8799, expected_value: Females, label: sex} + - {column: E, row: 8799, expected_value: Employee, label: employment type} + - {column: J, row: 8799, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8801 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8801, expected_value: E12000009, label: geography} + - {column: D, row: 8801, expected_value: Females, label: sex} + - {column: E, row: 8801, expected_value: Employee, label: employment type} + - {column: J, row: 8801, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8803 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8803, expected_value: E12000009, label: geography} + - {column: D, row: 8803, expected_value: Females, label: sex} + - {column: E, row: 8803, expected_value: Employee, label: employment type} + - {column: J, row: 8803, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8805 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8805, expected_value: E12000009, label: geography} + - {column: D, row: 8805, expected_value: Females, label: sex} + - {column: E, row: 8805, expected_value: Employee, label: employment type} + - {column: J, row: 8805, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8807 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8807, expected_value: E12000009, label: geography} + - {column: D, row: 8807, expected_value: Females, label: sex} + - {column: E, row: 8807, expected_value: Employee, label: employment type} + - {column: J, row: 8807, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8809 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8809, expected_value: E12000009, label: geography} + - {column: D, row: 8809, expected_value: Females, label: sex} + - {column: E, row: 8809, expected_value: Employee, label: employment type} + - {column: J, row: 8809, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8811 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8811, expected_value: E12000009, label: geography} + - {column: D, row: 8811, expected_value: Females, label: sex} + - {column: E, row: 8811, expected_value: Employee, label: employment type} + - {column: J, row: 8811, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8813 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8813, expected_value: E12000009, label: geography} + - {column: D, row: 8813, expected_value: Females, label: sex} + - {column: E, row: 8813, expected_value: Employee, label: employment type} + - {column: J, row: 8813, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8815 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8815, expected_value: E12000009, label: geography} + - {column: D, row: 8815, expected_value: Females, label: sex} + - {column: E, row: 8815, expected_value: Employee, label: employment type} + - {column: J, row: 8815, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8817 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8817, expected_value: E12000009, label: geography} + - {column: D, row: 8817, expected_value: Females, label: sex} + - {column: E, row: 8817, expected_value: Employee, label: employment type} + - {column: J, row: 8817, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8819 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8819, expected_value: E12000009, label: geography} + - {column: D, row: 8819, expected_value: Females, label: sex} + - {column: E, row: 8819, expected_value: Employee, label: employment type} + - {column: J, row: 8819, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8821 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8821, expected_value: E12000009, label: geography} + - {column: D, row: 8821, expected_value: Females, label: sex} + - {column: E, row: 8821, expected_value: Employee, label: employment type} + - {column: J, row: 8821, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8823 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8823, expected_value: E12000009, label: geography} + - {column: D, row: 8823, expected_value: Females, label: sex} + - {column: E, row: 8823, expected_value: Employee, label: employment type} + - {column: J, row: 8823, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8827 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8827, expected_value: E12000009, label: geography} + - {column: D, row: 8827, expected_value: Females, label: sex} + - {column: E, row: 8827, expected_value: Employee, label: employment type} + - {column: J, row: 8827, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8831 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8831, expected_value: E12000009, label: geography} + - {column: D, row: 8831, expected_value: Females, label: sex} + - {column: E, row: 8831, expected_value: Employee, label: employment type} + - {column: J, row: 8831, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8833 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8833, expected_value: E12000009, label: geography} + - {column: D, row: 8833, expected_value: Females, label: sex} + - {column: E, row: 8833, expected_value: Employee, label: employment type} + - {column: J, row: 8833, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8835 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8835, expected_value: E12000009, label: geography} + - {column: D, row: 8835, expected_value: Females, label: sex} + - {column: E, row: 8835, expected_value: Employee, label: employment type} + - {column: J, row: 8835, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8837 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8837, expected_value: E12000009, label: geography} + - {column: D, row: 8837, expected_value: Females, label: sex} + - {column: E, row: 8837, expected_value: Employee, label: employment type} + - {column: J, row: 8837, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8841 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8841, expected_value: E12000009, label: geography} + - {column: D, row: 8841, expected_value: Females, label: sex} + - {column: E, row: 8841, expected_value: Employee, label: employment type} + - {column: J, row: 8841, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8843 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8843, expected_value: E12000009, label: geography} + - {column: D, row: 8843, expected_value: Females, label: sex} + - {column: E, row: 8843, expected_value: Employee, label: employment type} + - {column: J, row: 8843, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8845 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8845, expected_value: E12000009, label: geography} + - {column: D, row: 8845, expected_value: Females, label: sex} + - {column: E, row: 8845, expected_value: Employee, label: employment type} + - {column: J, row: 8845, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8847 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8847, expected_value: E12000009, label: geography} + - {column: D, row: 8847, expected_value: Females, label: sex} + - {column: E, row: 8847, expected_value: Employee, label: employment type} + - {column: J, row: 8847, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8849 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8849, expected_value: E12000009, label: geography} + - {column: D, row: 8849, expected_value: Females, label: sex} + - {column: E, row: 8849, expected_value: Employee, label: employment type} + - {column: J, row: 8849, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8851 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8851, expected_value: E12000009, label: geography} + - {column: D, row: 8851, expected_value: Females, label: sex} + - {column: E, row: 8851, expected_value: Employee, label: employment type} + - {column: J, row: 8851, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8853 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8853, expected_value: E12000009, label: geography} + - {column: D, row: 8853, expected_value: Females, label: sex} + - {column: E, row: 8853, expected_value: Employee, label: employment type} + - {column: J, row: 8853, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8855 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8855, expected_value: E12000009, label: geography} + - {column: D, row: 8855, expected_value: Females, label: sex} + - {column: E, row: 8855, expected_value: Employee, label: employment type} + - {column: J, row: 8855, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8857 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8857, expected_value: E12000009, label: geography} + - {column: D, row: 8857, expected_value: Females, label: sex} + - {column: E, row: 8857, expected_value: Employee, label: employment type} + - {column: J, row: 8857, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9002 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9002, expected_value: E12000009, label: geography} + - {column: D, row: 9002, expected_value: Females, label: sex} + - {column: E, row: 9002, expected_value: Self-employed, label: employment type} + - {column: J, row: 9002, expected_value: Value, label: measure} + - {column: L, row: 9003, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9004 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9004, expected_value: E12000009, label: geography} + - {column: D, row: 9004, expected_value: Females, label: sex} + - {column: E, row: 9004, expected_value: Self-employed, label: employment type} + - {column: J, row: 9004, expected_value: Value, label: measure} + - {column: L, row: 9005, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9006 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9006, expected_value: E12000009, label: geography} + - {column: D, row: 9006, expected_value: Females, label: sex} + - {column: E, row: 9006, expected_value: Self-employed, label: employment type} + - {column: J, row: 9006, expected_value: Value, label: measure} + - {column: L, row: 9007, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9008 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9008, expected_value: E12000009, label: geography} + - {column: D, row: 9008, expected_value: Females, label: sex} + - {column: E, row: 9008, expected_value: Self-employed, label: employment type} + - {column: J, row: 9008, expected_value: Value, label: measure} + - {column: L, row: 9009, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9010 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9010, expected_value: E12000009, label: geography} + - {column: D, row: 9010, expected_value: Females, label: sex} + - {column: E, row: 9010, expected_value: Self-employed, label: employment type} + - {column: J, row: 9010, expected_value: Value, label: measure} + - {column: L, row: 9011, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9012 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9012, expected_value: E12000009, label: geography} + - {column: D, row: 9012, expected_value: Females, label: sex} + - {column: E, row: 9012, expected_value: Self-employed, label: employment type} + - {column: J, row: 9012, expected_value: Value, label: measure} + - {column: L, row: 9013, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9014 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9014, expected_value: E12000009, label: geography} + - {column: D, row: 9014, expected_value: Females, label: sex} + - {column: E, row: 9014, expected_value: Self-employed, label: employment type} + - {column: J, row: 9014, expected_value: Value, label: measure} + - {column: L, row: 9015, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9016 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9016, expected_value: E12000009, label: geography} + - {column: D, row: 9016, expected_value: Females, label: sex} + - {column: E, row: 9016, expected_value: Self-employed, label: employment type} + - {column: J, row: 9016, expected_value: Value, label: measure} + - {column: L, row: 9017, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9018 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9018, expected_value: E12000009, label: geography} + - {column: D, row: 9018, expected_value: Females, label: sex} + - {column: E, row: 9018, expected_value: Self-employed, label: employment type} + - {column: J, row: 9018, expected_value: Value, label: measure} + - {column: L, row: 9019, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9020 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9020, expected_value: E12000009, label: geography} + - {column: D, row: 9020, expected_value: Females, label: sex} + - {column: E, row: 9020, expected_value: Self-employed, label: employment type} + - {column: J, row: 9020, expected_value: Value, label: measure} + - {column: L, row: 9021, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9024 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9024, expected_value: E12000009, label: geography} + - {column: D, row: 9024, expected_value: Females, label: sex} + - {column: E, row: 9024, expected_value: Self-employed, label: employment type} + - {column: J, row: 9024, expected_value: Value, label: measure} + - {column: L, row: 9025, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9028 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9028, expected_value: E12000009, label: geography} + - {column: D, row: 9028, expected_value: Females, label: sex} + - {column: E, row: 9028, expected_value: Self-employed, label: employment type} + - {column: J, row: 9028, expected_value: Value, label: measure} + - {column: L, row: 9029, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9030 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9030, expected_value: E12000009, label: geography} + - {column: D, row: 9030, expected_value: Females, label: sex} + - {column: E, row: 9030, expected_value: Self-employed, label: employment type} + - {column: J, row: 9030, expected_value: Value, label: measure} + - {column: L, row: 9031, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9032 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9032, expected_value: E12000009, label: geography} + - {column: D, row: 9032, expected_value: Females, label: sex} + - {column: E, row: 9032, expected_value: Self-employed, label: employment type} + - {column: J, row: 9032, expected_value: Value, label: measure} + - {column: L, row: 9033, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9034 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9034, expected_value: E12000009, label: geography} + - {column: D, row: 9034, expected_value: Females, label: sex} + - {column: E, row: 9034, expected_value: Self-employed, label: employment type} + - {column: J, row: 9034, expected_value: Value, label: measure} + - {column: L, row: 9035, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 9036 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 9036, expected_value: E12000009, label: geography} + - {column: D, row: 9036, expected_value: Females, label: sex} + - {column: E, row: 9036, expected_value: Self-employed, label: employment type} + - {column: J, row: 9036, expected_value: Value, label: measure} + - {column: L, row: 9037, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9038 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9038, expected_value: E12000009, label: geography} + - {column: D, row: 9038, expected_value: Females, label: sex} + - {column: E, row: 9038, expected_value: Self-employed, label: employment type} + - {column: J, row: 9038, expected_value: Value, label: measure} + - {column: L, row: 9039, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9040 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9040, expected_value: E12000009, label: geography} + - {column: D, row: 9040, expected_value: Females, label: sex} + - {column: E, row: 9040, expected_value: Self-employed, label: employment type} + - {column: J, row: 9040, expected_value: Value, label: measure} + - {column: L, row: 9041, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 9042 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 9042, expected_value: E12000009, label: geography} + - {column: D, row: 9042, expected_value: Females, label: sex} + - {column: E, row: 9042, expected_value: Self-employed, label: employment type} + - {column: J, row: 9042, expected_value: Value, label: measure} + - {column: L, row: 9043, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 9044 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 9044, expected_value: E12000009, label: geography} + - {column: D, row: 9044, expected_value: Females, label: sex} + - {column: E, row: 9044, expected_value: Self-employed, label: employment type} + - {column: J, row: 9044, expected_value: Value, label: measure} + - {column: L, row: 9045, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9046 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9046, expected_value: E12000009, label: geography} + - {column: D, row: 9046, expected_value: Females, label: sex} + - {column: E, row: 9046, expected_value: Self-employed, label: employment type} + - {column: J, row: 9046, expected_value: Value, label: measure} + - {column: L, row: 9047, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9048 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9048, expected_value: E12000009, label: geography} + - {column: D, row: 9048, expected_value: Females, label: sex} + - {column: E, row: 9048, expected_value: Self-employed, label: employment type} + - {column: J, row: 9048, expected_value: Value, label: measure} + - {column: L, row: 9049, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9050 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9050, expected_value: E12000009, label: geography} + - {column: D, row: 9050, expected_value: Females, label: sex} + - {column: E, row: 9050, expected_value: Self-employed, label: employment type} + - {column: J, row: 9050, expected_value: Value, label: measure} + - {column: L, row: 9051, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9052 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9052, expected_value: E12000009, label: geography} + - {column: D, row: 9052, expected_value: Females, label: sex} + - {column: E, row: 9052, expected_value: Self-employed, label: employment type} + - {column: J, row: 9052, expected_value: Value, label: measure} + - {column: L, row: 9053, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9056 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9056, expected_value: E12000009, label: geography} + - {column: D, row: 9056, expected_value: Females, label: sex} + - {column: E, row: 9056, expected_value: Self-employed, label: employment type} + - {column: J, row: 9056, expected_value: Value, label: measure} + - {column: L, row: 9057, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9058 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9058, expected_value: E12000009, label: geography} + - {column: D, row: 9058, expected_value: Females, label: sex} + - {column: E, row: 9058, expected_value: Self-employed, label: employment type} + - {column: J, row: 9058, expected_value: Value, label: measure} + - {column: L, row: 9059, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 9062 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 9062, expected_value: E12000009, label: geography} + - {column: D, row: 9062, expected_value: Females, label: sex} + - {column: E, row: 9062, expected_value: Self-employed, label: employment type} + - {column: J, row: 9062, expected_value: Value, label: measure} + - {column: L, row: 9063, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 9064 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 9064, expected_value: E12000009, label: geography} + - {column: D, row: 9064, expected_value: Females, label: sex} + - {column: E, row: 9064, expected_value: Self-employed, label: employment type} + - {column: J, row: 9064, expected_value: Value, label: measure} + - {column: L, row: 9065, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 9066 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 9066, expected_value: E12000009, label: geography} + - {column: D, row: 9066, expected_value: Females, label: sex} + - {column: E, row: 9066, expected_value: Self-employed, label: employment type} + - {column: J, row: 9066, expected_value: Value, label: measure} + - {column: L, row: 9067, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9068 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9068, expected_value: E12000009, label: geography} + - {column: D, row: 9068, expected_value: Females, label: sex} + - {column: E, row: 9068, expected_value: Self-employed, label: employment type} + - {column: J, row: 9068, expected_value: Value, label: measure} + - {column: L, row: 9069, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 9070 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 9070, expected_value: E12000009, label: geography} + - {column: D, row: 9070, expected_value: Females, label: sex} + - {column: E, row: 9070, expected_value: Self-employed, label: employment type} + - {column: J, row: 9070, expected_value: Value, label: measure} + - {column: L, row: 9071, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9072 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9072, expected_value: E12000009, label: geography} + - {column: D, row: 9072, expected_value: Females, label: sex} + - {column: E, row: 9072, expected_value: Self-employed, label: employment type} + - {column: J, row: 9072, expected_value: Value, label: measure} + - {column: L, row: 9073, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2024_mar_2025.e12000009.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2024_mar_2025.csv + period_type: fiscal_year + period: 2024 + period_coverage: + start_date: '2024-04-01' + end_date: '2025-03-31' + basis: survey_reference + source_period_label: Apr 2024-Mar 2025 + notes: 'Nomis APS218 (NM_218_1), Apr 2024-Mar 2025, revision 0 released 17 July 2025: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9003 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9003, expected_value: E12000009, label: geography} + - {column: D, row: 9003, expected_value: Females, label: sex} + - {column: E, row: 9003, expected_value: Self-employed, label: employment type} + - {column: J, row: 9003, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9005 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9005, expected_value: E12000009, label: geography} + - {column: D, row: 9005, expected_value: Females, label: sex} + - {column: E, row: 9005, expected_value: Self-employed, label: employment type} + - {column: J, row: 9005, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9007 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9007, expected_value: E12000009, label: geography} + - {column: D, row: 9007, expected_value: Females, label: sex} + - {column: E, row: 9007, expected_value: Self-employed, label: employment type} + - {column: J, row: 9007, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9009 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9009, expected_value: E12000009, label: geography} + - {column: D, row: 9009, expected_value: Females, label: sex} + - {column: E, row: 9009, expected_value: Self-employed, label: employment type} + - {column: J, row: 9009, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9011 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9011, expected_value: E12000009, label: geography} + - {column: D, row: 9011, expected_value: Females, label: sex} + - {column: E, row: 9011, expected_value: Self-employed, label: employment type} + - {column: J, row: 9011, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9013 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9013, expected_value: E12000009, label: geography} + - {column: D, row: 9013, expected_value: Females, label: sex} + - {column: E, row: 9013, expected_value: Self-employed, label: employment type} + - {column: J, row: 9013, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9015 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9015, expected_value: E12000009, label: geography} + - {column: D, row: 9015, expected_value: Females, label: sex} + - {column: E, row: 9015, expected_value: Self-employed, label: employment type} + - {column: J, row: 9015, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9017 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9017, expected_value: E12000009, label: geography} + - {column: D, row: 9017, expected_value: Females, label: sex} + - {column: E, row: 9017, expected_value: Self-employed, label: employment type} + - {column: J, row: 9017, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9019 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9019, expected_value: E12000009, label: geography} + - {column: D, row: 9019, expected_value: Females, label: sex} + - {column: E, row: 9019, expected_value: Self-employed, label: employment type} + - {column: J, row: 9019, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9021 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9021, expected_value: E12000009, label: geography} + - {column: D, row: 9021, expected_value: Females, label: sex} + - {column: E, row: 9021, expected_value: Self-employed, label: employment type} + - {column: J, row: 9021, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9025 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9025, expected_value: E12000009, label: geography} + - {column: D, row: 9025, expected_value: Females, label: sex} + - {column: E, row: 9025, expected_value: Self-employed, label: employment type} + - {column: J, row: 9025, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9029 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9029, expected_value: E12000009, label: geography} + - {column: D, row: 9029, expected_value: Females, label: sex} + - {column: E, row: 9029, expected_value: Self-employed, label: employment type} + - {column: J, row: 9029, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9031 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9031, expected_value: E12000009, label: geography} + - {column: D, row: 9031, expected_value: Females, label: sex} + - {column: E, row: 9031, expected_value: Self-employed, label: employment type} + - {column: J, row: 9031, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9033 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9033, expected_value: E12000009, label: geography} + - {column: D, row: 9033, expected_value: Females, label: sex} + - {column: E, row: 9033, expected_value: Self-employed, label: employment type} + - {column: J, row: 9033, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9035 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9035, expected_value: E12000009, label: geography} + - {column: D, row: 9035, expected_value: Females, label: sex} + - {column: E, row: 9035, expected_value: Self-employed, label: employment type} + - {column: J, row: 9035, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9039 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9039, expected_value: E12000009, label: geography} + - {column: D, row: 9039, expected_value: Females, label: sex} + - {column: E, row: 9039, expected_value: Self-employed, label: employment type} + - {column: J, row: 9039, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9041 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9041, expected_value: E12000009, label: geography} + - {column: D, row: 9041, expected_value: Females, label: sex} + - {column: E, row: 9041, expected_value: Self-employed, label: employment type} + - {column: J, row: 9041, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9047 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9047, expected_value: E12000009, label: geography} + - {column: D, row: 9047, expected_value: Females, label: sex} + - {column: E, row: 9047, expected_value: Self-employed, label: employment type} + - {column: J, row: 9047, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9049 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9049, expected_value: E12000009, label: geography} + - {column: D, row: 9049, expected_value: Females, label: sex} + - {column: E, row: 9049, expected_value: Self-employed, label: employment type} + - {column: J, row: 9049, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9051 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9051, expected_value: E12000009, label: geography} + - {column: D, row: 9051, expected_value: Females, label: sex} + - {column: E, row: 9051, expected_value: Self-employed, label: employment type} + - {column: J, row: 9051, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9053 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9053, expected_value: E12000009, label: geography} + - {column: D, row: 9053, expected_value: Females, label: sex} + - {column: E, row: 9053, expected_value: Self-employed, label: employment type} + - {column: J, row: 9053, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9057 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9057, expected_value: E12000009, label: geography} + - {column: D, row: 9057, expected_value: Females, label: sex} + - {column: E, row: 9057, expected_value: Self-employed, label: employment type} + - {column: J, row: 9057, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9059 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9059, expected_value: E12000009, label: geography} + - {column: D, row: 9059, expected_value: Females, label: sex} + - {column: E, row: 9059, expected_value: Self-employed, label: employment type} + - {column: J, row: 9059, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9069 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9069, expected_value: E12000009, label: geography} + - {column: D, row: 9069, expected_value: Females, label: sex} + - {column: E, row: 9069, expected_value: Self-employed, label: employment type} + - {column: J, row: 9069, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9073 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9073, expected_value: E12000009, label: geography} + - {column: D, row: 9073, expected_value: Females, label: sex} + - {column: E, row: 9073, expected_value: Self-employed, label: employment type} + - {column: J, row: 9073, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number diff --git a/packages/ons/aps218_occupation_apr_2025_mar_2026/source_package.yaml b/packages/ons/aps218_occupation_apr_2025_mar_2026/source_package.yaml new file mode 100644 index 00000000..bfdc8856 --- /dev/null +++ b/packages/ons/aps218_occupation_apr_2025_mar_2026/source_package.yaml @@ -0,0 +1,151170 @@ +# ONS Annual Population Survey estimates on Nomis, dataset APS218 ('annual population +# survey - regional - occupation (SOC2020) by sex by employment type', NM_218_1), Apr +# 2025-Mar 2026, for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the pinned Nomis API response, long format, +# one row per geography, employment type, sex, occupation and measure. +# +# People in employment, resident in the UK, its four countries and the nine English +# regions, by sex (all persons, males, females) and by employment type (all, employees, +# self-employed; Nomis's fourth type, 'Other', which 'includes unpaid family worker', is +# not ported), for all occupations and each SOC 2020 major group (9) and sub-major group +# (26), counting full-time and part-time workers and all job types together. Nomis +# describes the APS as 'a residence based labour market survey' +# (https://www.nomisweb.co.uk/sources/aps). Each estimate (Nomis 'Value') is a fact of +# concept ons.aps_people_in_employment, statistic estimate; the half-width of its +# confidence interval (Nomis 'Confidence') is a second fact, of concept +# ons.aps_people_in_employment_confidence_interval_half_width and statistic +# confidence_interval_half_width, where Nomis publishes one. Nomis does not state the +# interval's level on the dataset's pages; Scottish Government APS publications call the +# limits Nomis publishes 95 per cent limits. Nomis's pages also do not say whether the +# occupation is that of the main job. 8330 facts. +# +# Nomis rounds counts to the nearest hundred and flags every cell in OBS_STATUS: A 'Normal +# Value'; F 'Estimate and confidence interval not available since the group sample size is +# zero or disclosive (0-2)'; G 'Estimate and confidence interval unreliable since the +# group sample size is small (3-9)'; H 'Estimate is less than 500'. A blank cell (F, H) +# emits no fact. Nomis marks an interval G, and sometimes F, while publishing its +# estimate: the estimate is ported with its interval's status cell guarded, so the flag is +# in its lineage, and the interval emits no fact. +# +# Record sets are one per geography, sex, employment type and statistic, with the +# occupations as rows (groupby soc2020_group). A major group's facts carry +# soc2020_major_group, a sub-major group's soc2020_sub_major_group; the all-occupations +# rows are the record sets' totals. The detail rows hold both levels, so select one level +# by its filter and never sum across both. Row labels are SOC 2020 names in ASHE Table 2's +# wording; each row's guards compare Nomis's own text. +# +# Parity on the published estimates, asserted by the generator: each major group's +# sub-major groups add to it, the four countries to the UK and the nine regions to +# England, within Nomis's rounding (50 per summed cell). The nine major groups add to less +# than the all-occupations total, by at most 0.34% of it here; Nomis publishes no residual +# category, so the difference is people in employment who are in the total and in no major +# group. +# +# Nomis's metadata records one revision of the dataset: on 27 January 2023 it re-released +# October 2021 to September 2022, 'Estimates revised due to identified error'. That period +# is not ported; this one is Nomis revision 0, released 21 July 2026. +schema_version: ledger.source_package.v1 +package_id: ons-aps218-occupation-apr-2025-mar-2026 +label: 'ONS Annual Population Survey (Nomis APS218): people in employment by SOC 2020 major and sub-major + group, sex and employment status, UK, countries and English regions, April 2025 to March 2026' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + employment_status: Employment status + statistic: Statistic +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + employment_status: + all: All in employment + employee: Employees + self_employed: Self-employed + statistic: + estimate: Estimate + confidence_interval_half_width: Confidence interval half-width +artifact: + source_name: ons + source_table: Annual Population Survey, Nomis dataset APS218 (NM_218_1), 'annual population survey - + regional - occupation (SOC2020) by sex by employment type', Apr 2025-Mar 2026 + resource_package: db + resource_directory: data/ons/aps218_occupation_apr_2025_mar_2026 + manifest: manifest.yaml + vintage: nomis_aps218_apr_2025_mar_2026_revision_0 + extracted_at: '2026-11-04' + extraction_method: Nomis API delimited text full-row parse, one source row per geography, employment + type, sex, occupation and measure + parser: delimited_text_full_rows + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + artifact_year: 2026 +record_sets: +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2, expected_value: K02000001, label: geography} + - {column: D, row: 2, expected_value: All persons, label: sex} + - {column: E, row: 2, expected_value: Total, label: employment type} + - {column: J, row: 2, expected_value: Value, label: measure} + - {column: L, row: 3, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4, expected_value: K02000001, label: geography} + - {column: D, row: 4, expected_value: All persons, label: sex} + - {column: E, row: 4, expected_value: Total, label: employment type} + - {column: J, row: 4, expected_value: Value, label: measure} + - {column: L, row: 5, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6, expected_value: K02000001, label: geography} + - {column: D, row: 6, expected_value: All persons, label: sex} + - {column: E, row: 6, expected_value: Total, label: employment type} + - {column: J, row: 6, expected_value: Value, label: measure} + - {column: L, row: 7, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8, expected_value: K02000001, label: geography} + - {column: D, row: 8, expected_value: All persons, label: sex} + - {column: E, row: 8, expected_value: Total, label: employment type} + - {column: J, row: 8, expected_value: Value, label: measure} + - {column: L, row: 9, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 10, expected_value: K02000001, label: geography} + - {column: D, row: 10, expected_value: All persons, label: sex} + - {column: E, row: 10, expected_value: Total, label: employment type} + - {column: J, row: 10, expected_value: Value, label: measure} + - {column: L, row: 11, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 12 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 12, expected_value: K02000001, label: geography} + - {column: D, row: 12, expected_value: All persons, label: sex} + - {column: E, row: 12, expected_value: Total, label: employment type} + - {column: J, row: 12, expected_value: Value, label: measure} + - {column: L, row: 13, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 14 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 14, expected_value: K02000001, label: geography} + - {column: D, row: 14, expected_value: All persons, label: sex} + - {column: E, row: 14, expected_value: Total, label: employment type} + - {column: J, row: 14, expected_value: Value, label: measure} + - {column: L, row: 15, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 16 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 16, expected_value: K02000001, label: geography} + - {column: D, row: 16, expected_value: All persons, label: sex} + - {column: E, row: 16, expected_value: Total, label: employment type} + - {column: J, row: 16, expected_value: Value, label: measure} + - {column: L, row: 17, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 18 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 18, expected_value: K02000001, label: geography} + - {column: D, row: 18, expected_value: All persons, label: sex} + - {column: E, row: 18, expected_value: Total, label: employment type} + - {column: J, row: 18, expected_value: Value, label: measure} + - {column: L, row: 19, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 20 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 20, expected_value: K02000001, label: geography} + - {column: D, row: 20, expected_value: All persons, label: sex} + - {column: E, row: 20, expected_value: Total, label: employment type} + - {column: J, row: 20, expected_value: Value, label: measure} + - {column: L, row: 21, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 22 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 22, expected_value: K02000001, label: geography} + - {column: D, row: 22, expected_value: All persons, label: sex} + - {column: E, row: 22, expected_value: Total, label: employment type} + - {column: J, row: 22, expected_value: Value, label: measure} + - {column: L, row: 23, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 24 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 24, expected_value: K02000001, label: geography} + - {column: D, row: 24, expected_value: All persons, label: sex} + - {column: E, row: 24, expected_value: Total, label: employment type} + - {column: J, row: 24, expected_value: Value, label: measure} + - {column: L, row: 25, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 26 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 26, expected_value: K02000001, label: geography} + - {column: D, row: 26, expected_value: All persons, label: sex} + - {column: E, row: 26, expected_value: Total, label: employment type} + - {column: J, row: 26, expected_value: Value, label: measure} + - {column: L, row: 27, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 28 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 28, expected_value: K02000001, label: geography} + - {column: D, row: 28, expected_value: All persons, label: sex} + - {column: E, row: 28, expected_value: Total, label: employment type} + - {column: J, row: 28, expected_value: Value, label: measure} + - {column: L, row: 29, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 30 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 30, expected_value: K02000001, label: geography} + - {column: D, row: 30, expected_value: All persons, label: sex} + - {column: E, row: 30, expected_value: Total, label: employment type} + - {column: J, row: 30, expected_value: Value, label: measure} + - {column: L, row: 31, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 32 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 32, expected_value: K02000001, label: geography} + - {column: D, row: 32, expected_value: All persons, label: sex} + - {column: E, row: 32, expected_value: Total, label: employment type} + - {column: J, row: 32, expected_value: Value, label: measure} + - {column: L, row: 33, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 34 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 34, expected_value: K02000001, label: geography} + - {column: D, row: 34, expected_value: All persons, label: sex} + - {column: E, row: 34, expected_value: Total, label: employment type} + - {column: J, row: 34, expected_value: Value, label: measure} + - {column: L, row: 35, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 36 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 36, expected_value: K02000001, label: geography} + - {column: D, row: 36, expected_value: All persons, label: sex} + - {column: E, row: 36, expected_value: Total, label: employment type} + - {column: J, row: 36, expected_value: Value, label: measure} + - {column: L, row: 37, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 38 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 38, expected_value: K02000001, label: geography} + - {column: D, row: 38, expected_value: All persons, label: sex} + - {column: E, row: 38, expected_value: Total, label: employment type} + - {column: J, row: 38, expected_value: Value, label: measure} + - {column: L, row: 39, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 40 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 40, expected_value: K02000001, label: geography} + - {column: D, row: 40, expected_value: All persons, label: sex} + - {column: E, row: 40, expected_value: Total, label: employment type} + - {column: J, row: 40, expected_value: Value, label: measure} + - {column: L, row: 41, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 42 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 42, expected_value: K02000001, label: geography} + - {column: D, row: 42, expected_value: All persons, label: sex} + - {column: E, row: 42, expected_value: Total, label: employment type} + - {column: J, row: 42, expected_value: Value, label: measure} + - {column: L, row: 43, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 44 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 44, expected_value: K02000001, label: geography} + - {column: D, row: 44, expected_value: All persons, label: sex} + - {column: E, row: 44, expected_value: Total, label: employment type} + - {column: J, row: 44, expected_value: Value, label: measure} + - {column: L, row: 45, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 46 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 46, expected_value: K02000001, label: geography} + - {column: D, row: 46, expected_value: All persons, label: sex} + - {column: E, row: 46, expected_value: Total, label: employment type} + - {column: J, row: 46, expected_value: Value, label: measure} + - {column: L, row: 47, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 48 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 48, expected_value: K02000001, label: geography} + - {column: D, row: 48, expected_value: All persons, label: sex} + - {column: E, row: 48, expected_value: Total, label: employment type} + - {column: J, row: 48, expected_value: Value, label: measure} + - {column: L, row: 49, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 50 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 50, expected_value: K02000001, label: geography} + - {column: D, row: 50, expected_value: All persons, label: sex} + - {column: E, row: 50, expected_value: Total, label: employment type} + - {column: J, row: 50, expected_value: Value, label: measure} + - {column: L, row: 51, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 52 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 52, expected_value: K02000001, label: geography} + - {column: D, row: 52, expected_value: All persons, label: sex} + - {column: E, row: 52, expected_value: Total, label: employment type} + - {column: J, row: 52, expected_value: Value, label: measure} + - {column: L, row: 53, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 54 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 54, expected_value: K02000001, label: geography} + - {column: D, row: 54, expected_value: All persons, label: sex} + - {column: E, row: 54, expected_value: Total, label: employment type} + - {column: J, row: 54, expected_value: Value, label: measure} + - {column: L, row: 55, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 56 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 56, expected_value: K02000001, label: geography} + - {column: D, row: 56, expected_value: All persons, label: sex} + - {column: E, row: 56, expected_value: Total, label: employment type} + - {column: J, row: 56, expected_value: Value, label: measure} + - {column: L, row: 57, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 58 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 58, expected_value: K02000001, label: geography} + - {column: D, row: 58, expected_value: All persons, label: sex} + - {column: E, row: 58, expected_value: Total, label: employment type} + - {column: J, row: 58, expected_value: Value, label: measure} + - {column: L, row: 59, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 60 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 60, expected_value: K02000001, label: geography} + - {column: D, row: 60, expected_value: All persons, label: sex} + - {column: E, row: 60, expected_value: Total, label: employment type} + - {column: J, row: 60, expected_value: Value, label: measure} + - {column: L, row: 61, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 62 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 62, expected_value: K02000001, label: geography} + - {column: D, row: 62, expected_value: All persons, label: sex} + - {column: E, row: 62, expected_value: Total, label: employment type} + - {column: J, row: 62, expected_value: Value, label: measure} + - {column: L, row: 63, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 64 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 64, expected_value: K02000001, label: geography} + - {column: D, row: 64, expected_value: All persons, label: sex} + - {column: E, row: 64, expected_value: Total, label: employment type} + - {column: J, row: 64, expected_value: Value, label: measure} + - {column: L, row: 65, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 66 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 66, expected_value: K02000001, label: geography} + - {column: D, row: 66, expected_value: All persons, label: sex} + - {column: E, row: 66, expected_value: Total, label: employment type} + - {column: J, row: 66, expected_value: Value, label: measure} + - {column: L, row: 67, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 68 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 68, expected_value: K02000001, label: geography} + - {column: D, row: 68, expected_value: All persons, label: sex} + - {column: E, row: 68, expected_value: Total, label: employment type} + - {column: J, row: 68, expected_value: Value, label: measure} + - {column: L, row: 69, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 70 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 70, expected_value: K02000001, label: geography} + - {column: D, row: 70, expected_value: All persons, label: sex} + - {column: E, row: 70, expected_value: Total, label: employment type} + - {column: J, row: 70, expected_value: Value, label: measure} + - {column: L, row: 71, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 72 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 72, expected_value: K02000001, label: geography} + - {column: D, row: 72, expected_value: All persons, label: sex} + - {column: E, row: 72, expected_value: Total, label: employment type} + - {column: J, row: 72, expected_value: Value, label: measure} + - {column: L, row: 73, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3, expected_value: K02000001, label: geography} + - {column: D, row: 3, expected_value: All persons, label: sex} + - {column: E, row: 3, expected_value: Total, label: employment type} + - {column: J, row: 3, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5, expected_value: K02000001, label: geography} + - {column: D, row: 5, expected_value: All persons, label: sex} + - {column: E, row: 5, expected_value: Total, label: employment type} + - {column: J, row: 5, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7, expected_value: K02000001, label: geography} + - {column: D, row: 7, expected_value: All persons, label: sex} + - {column: E, row: 7, expected_value: Total, label: employment type} + - {column: J, row: 7, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9, expected_value: K02000001, label: geography} + - {column: D, row: 9, expected_value: All persons, label: sex} + - {column: E, row: 9, expected_value: Total, label: employment type} + - {column: J, row: 9, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 11 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 11, expected_value: K02000001, label: geography} + - {column: D, row: 11, expected_value: All persons, label: sex} + - {column: E, row: 11, expected_value: Total, label: employment type} + - {column: J, row: 11, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 13 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 13, expected_value: K02000001, label: geography} + - {column: D, row: 13, expected_value: All persons, label: sex} + - {column: E, row: 13, expected_value: Total, label: employment type} + - {column: J, row: 13, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 15 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 15, expected_value: K02000001, label: geography} + - {column: D, row: 15, expected_value: All persons, label: sex} + - {column: E, row: 15, expected_value: Total, label: employment type} + - {column: J, row: 15, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 17 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 17, expected_value: K02000001, label: geography} + - {column: D, row: 17, expected_value: All persons, label: sex} + - {column: E, row: 17, expected_value: Total, label: employment type} + - {column: J, row: 17, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 19 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 19, expected_value: K02000001, label: geography} + - {column: D, row: 19, expected_value: All persons, label: sex} + - {column: E, row: 19, expected_value: Total, label: employment type} + - {column: J, row: 19, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 21 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 21, expected_value: K02000001, label: geography} + - {column: D, row: 21, expected_value: All persons, label: sex} + - {column: E, row: 21, expected_value: Total, label: employment type} + - {column: J, row: 21, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 23 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 23, expected_value: K02000001, label: geography} + - {column: D, row: 23, expected_value: All persons, label: sex} + - {column: E, row: 23, expected_value: Total, label: employment type} + - {column: J, row: 23, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 25 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 25, expected_value: K02000001, label: geography} + - {column: D, row: 25, expected_value: All persons, label: sex} + - {column: E, row: 25, expected_value: Total, label: employment type} + - {column: J, row: 25, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 27 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 27, expected_value: K02000001, label: geography} + - {column: D, row: 27, expected_value: All persons, label: sex} + - {column: E, row: 27, expected_value: Total, label: employment type} + - {column: J, row: 27, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 29 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 29, expected_value: K02000001, label: geography} + - {column: D, row: 29, expected_value: All persons, label: sex} + - {column: E, row: 29, expected_value: Total, label: employment type} + - {column: J, row: 29, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 31 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 31, expected_value: K02000001, label: geography} + - {column: D, row: 31, expected_value: All persons, label: sex} + - {column: E, row: 31, expected_value: Total, label: employment type} + - {column: J, row: 31, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 33 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 33, expected_value: K02000001, label: geography} + - {column: D, row: 33, expected_value: All persons, label: sex} + - {column: E, row: 33, expected_value: Total, label: employment type} + - {column: J, row: 33, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 35 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 35, expected_value: K02000001, label: geography} + - {column: D, row: 35, expected_value: All persons, label: sex} + - {column: E, row: 35, expected_value: Total, label: employment type} + - {column: J, row: 35, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 37 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 37, expected_value: K02000001, label: geography} + - {column: D, row: 37, expected_value: All persons, label: sex} + - {column: E, row: 37, expected_value: Total, label: employment type} + - {column: J, row: 37, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 39 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 39, expected_value: K02000001, label: geography} + - {column: D, row: 39, expected_value: All persons, label: sex} + - {column: E, row: 39, expected_value: Total, label: employment type} + - {column: J, row: 39, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 41 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 41, expected_value: K02000001, label: geography} + - {column: D, row: 41, expected_value: All persons, label: sex} + - {column: E, row: 41, expected_value: Total, label: employment type} + - {column: J, row: 41, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 43 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 43, expected_value: K02000001, label: geography} + - {column: D, row: 43, expected_value: All persons, label: sex} + - {column: E, row: 43, expected_value: Total, label: employment type} + - {column: J, row: 43, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 45 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 45, expected_value: K02000001, label: geography} + - {column: D, row: 45, expected_value: All persons, label: sex} + - {column: E, row: 45, expected_value: Total, label: employment type} + - {column: J, row: 45, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 47 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 47, expected_value: K02000001, label: geography} + - {column: D, row: 47, expected_value: All persons, label: sex} + - {column: E, row: 47, expected_value: Total, label: employment type} + - {column: J, row: 47, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 49 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 49, expected_value: K02000001, label: geography} + - {column: D, row: 49, expected_value: All persons, label: sex} + - {column: E, row: 49, expected_value: Total, label: employment type} + - {column: J, row: 49, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 51 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 51, expected_value: K02000001, label: geography} + - {column: D, row: 51, expected_value: All persons, label: sex} + - {column: E, row: 51, expected_value: Total, label: employment type} + - {column: J, row: 51, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 53 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 53, expected_value: K02000001, label: geography} + - {column: D, row: 53, expected_value: All persons, label: sex} + - {column: E, row: 53, expected_value: Total, label: employment type} + - {column: J, row: 53, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 55 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 55, expected_value: K02000001, label: geography} + - {column: D, row: 55, expected_value: All persons, label: sex} + - {column: E, row: 55, expected_value: Total, label: employment type} + - {column: J, row: 55, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 57 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 57, expected_value: K02000001, label: geography} + - {column: D, row: 57, expected_value: All persons, label: sex} + - {column: E, row: 57, expected_value: Total, label: employment type} + - {column: J, row: 57, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 59 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 59, expected_value: K02000001, label: geography} + - {column: D, row: 59, expected_value: All persons, label: sex} + - {column: E, row: 59, expected_value: Total, label: employment type} + - {column: J, row: 59, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 61 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 61, expected_value: K02000001, label: geography} + - {column: D, row: 61, expected_value: All persons, label: sex} + - {column: E, row: 61, expected_value: Total, label: employment type} + - {column: J, row: 61, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 63 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 63, expected_value: K02000001, label: geography} + - {column: D, row: 63, expected_value: All persons, label: sex} + - {column: E, row: 63, expected_value: Total, label: employment type} + - {column: J, row: 63, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 65 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 65, expected_value: K02000001, label: geography} + - {column: D, row: 65, expected_value: All persons, label: sex} + - {column: E, row: 65, expected_value: Total, label: employment type} + - {column: J, row: 65, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 67 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 67, expected_value: K02000001, label: geography} + - {column: D, row: 67, expected_value: All persons, label: sex} + - {column: E, row: 67, expected_value: Total, label: employment type} + - {column: J, row: 67, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 69 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 69, expected_value: K02000001, label: geography} + - {column: D, row: 69, expected_value: All persons, label: sex} + - {column: E, row: 69, expected_value: Total, label: employment type} + - {column: J, row: 69, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 71 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 71, expected_value: K02000001, label: geography} + - {column: D, row: 71, expected_value: All persons, label: sex} + - {column: E, row: 71, expected_value: Total, label: employment type} + - {column: J, row: 71, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 73 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 73, expected_value: K02000001, label: geography} + - {column: D, row: 73, expected_value: All persons, label: sex} + - {column: E, row: 73, expected_value: Total, label: employment type} + - {column: J, row: 73, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 218 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 218, expected_value: K02000001, label: geography} + - {column: D, row: 218, expected_value: All persons, label: sex} + - {column: E, row: 218, expected_value: Employee, label: employment type} + - {column: J, row: 218, expected_value: Value, label: measure} + - {column: L, row: 219, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 220 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 220, expected_value: K02000001, label: geography} + - {column: D, row: 220, expected_value: All persons, label: sex} + - {column: E, row: 220, expected_value: Employee, label: employment type} + - {column: J, row: 220, expected_value: Value, label: measure} + - {column: L, row: 221, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 222 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 222, expected_value: K02000001, label: geography} + - {column: D, row: 222, expected_value: All persons, label: sex} + - {column: E, row: 222, expected_value: Employee, label: employment type} + - {column: J, row: 222, expected_value: Value, label: measure} + - {column: L, row: 223, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 224 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 224, expected_value: K02000001, label: geography} + - {column: D, row: 224, expected_value: All persons, label: sex} + - {column: E, row: 224, expected_value: Employee, label: employment type} + - {column: J, row: 224, expected_value: Value, label: measure} + - {column: L, row: 225, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 226 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 226, expected_value: K02000001, label: geography} + - {column: D, row: 226, expected_value: All persons, label: sex} + - {column: E, row: 226, expected_value: Employee, label: employment type} + - {column: J, row: 226, expected_value: Value, label: measure} + - {column: L, row: 227, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 228 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 228, expected_value: K02000001, label: geography} + - {column: D, row: 228, expected_value: All persons, label: sex} + - {column: E, row: 228, expected_value: Employee, label: employment type} + - {column: J, row: 228, expected_value: Value, label: measure} + - {column: L, row: 229, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 230 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 230, expected_value: K02000001, label: geography} + - {column: D, row: 230, expected_value: All persons, label: sex} + - {column: E, row: 230, expected_value: Employee, label: employment type} + - {column: J, row: 230, expected_value: Value, label: measure} + - {column: L, row: 231, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 232 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 232, expected_value: K02000001, label: geography} + - {column: D, row: 232, expected_value: All persons, label: sex} + - {column: E, row: 232, expected_value: Employee, label: employment type} + - {column: J, row: 232, expected_value: Value, label: measure} + - {column: L, row: 233, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 234 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 234, expected_value: K02000001, label: geography} + - {column: D, row: 234, expected_value: All persons, label: sex} + - {column: E, row: 234, expected_value: Employee, label: employment type} + - {column: J, row: 234, expected_value: Value, label: measure} + - {column: L, row: 235, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 236 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 236, expected_value: K02000001, label: geography} + - {column: D, row: 236, expected_value: All persons, label: sex} + - {column: E, row: 236, expected_value: Employee, label: employment type} + - {column: J, row: 236, expected_value: Value, label: measure} + - {column: L, row: 237, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 238 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 238, expected_value: K02000001, label: geography} + - {column: D, row: 238, expected_value: All persons, label: sex} + - {column: E, row: 238, expected_value: Employee, label: employment type} + - {column: J, row: 238, expected_value: Value, label: measure} + - {column: L, row: 239, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 240 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 240, expected_value: K02000001, label: geography} + - {column: D, row: 240, expected_value: All persons, label: sex} + - {column: E, row: 240, expected_value: Employee, label: employment type} + - {column: J, row: 240, expected_value: Value, label: measure} + - {column: L, row: 241, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 242 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 242, expected_value: K02000001, label: geography} + - {column: D, row: 242, expected_value: All persons, label: sex} + - {column: E, row: 242, expected_value: Employee, label: employment type} + - {column: J, row: 242, expected_value: Value, label: measure} + - {column: L, row: 243, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 244 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 244, expected_value: K02000001, label: geography} + - {column: D, row: 244, expected_value: All persons, label: sex} + - {column: E, row: 244, expected_value: Employee, label: employment type} + - {column: J, row: 244, expected_value: Value, label: measure} + - {column: L, row: 245, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 246 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 246, expected_value: K02000001, label: geography} + - {column: D, row: 246, expected_value: All persons, label: sex} + - {column: E, row: 246, expected_value: Employee, label: employment type} + - {column: J, row: 246, expected_value: Value, label: measure} + - {column: L, row: 247, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 248 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 248, expected_value: K02000001, label: geography} + - {column: D, row: 248, expected_value: All persons, label: sex} + - {column: E, row: 248, expected_value: Employee, label: employment type} + - {column: J, row: 248, expected_value: Value, label: measure} + - {column: L, row: 249, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 250 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 250, expected_value: K02000001, label: geography} + - {column: D, row: 250, expected_value: All persons, label: sex} + - {column: E, row: 250, expected_value: Employee, label: employment type} + - {column: J, row: 250, expected_value: Value, label: measure} + - {column: L, row: 251, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 252 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 252, expected_value: K02000001, label: geography} + - {column: D, row: 252, expected_value: All persons, label: sex} + - {column: E, row: 252, expected_value: Employee, label: employment type} + - {column: J, row: 252, expected_value: Value, label: measure} + - {column: L, row: 253, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 254 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 254, expected_value: K02000001, label: geography} + - {column: D, row: 254, expected_value: All persons, label: sex} + - {column: E, row: 254, expected_value: Employee, label: employment type} + - {column: J, row: 254, expected_value: Value, label: measure} + - {column: L, row: 255, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 256 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 256, expected_value: K02000001, label: geography} + - {column: D, row: 256, expected_value: All persons, label: sex} + - {column: E, row: 256, expected_value: Employee, label: employment type} + - {column: J, row: 256, expected_value: Value, label: measure} + - {column: L, row: 257, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 258 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 258, expected_value: K02000001, label: geography} + - {column: D, row: 258, expected_value: All persons, label: sex} + - {column: E, row: 258, expected_value: Employee, label: employment type} + - {column: J, row: 258, expected_value: Value, label: measure} + - {column: L, row: 259, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 260 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 260, expected_value: K02000001, label: geography} + - {column: D, row: 260, expected_value: All persons, label: sex} + - {column: E, row: 260, expected_value: Employee, label: employment type} + - {column: J, row: 260, expected_value: Value, label: measure} + - {column: L, row: 261, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 262 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 262, expected_value: K02000001, label: geography} + - {column: D, row: 262, expected_value: All persons, label: sex} + - {column: E, row: 262, expected_value: Employee, label: employment type} + - {column: J, row: 262, expected_value: Value, label: measure} + - {column: L, row: 263, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 264 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 264, expected_value: K02000001, label: geography} + - {column: D, row: 264, expected_value: All persons, label: sex} + - {column: E, row: 264, expected_value: Employee, label: employment type} + - {column: J, row: 264, expected_value: Value, label: measure} + - {column: L, row: 265, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 266 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 266, expected_value: K02000001, label: geography} + - {column: D, row: 266, expected_value: All persons, label: sex} + - {column: E, row: 266, expected_value: Employee, label: employment type} + - {column: J, row: 266, expected_value: Value, label: measure} + - {column: L, row: 267, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 268 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 268, expected_value: K02000001, label: geography} + - {column: D, row: 268, expected_value: All persons, label: sex} + - {column: E, row: 268, expected_value: Employee, label: employment type} + - {column: J, row: 268, expected_value: Value, label: measure} + - {column: L, row: 269, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 270 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 270, expected_value: K02000001, label: geography} + - {column: D, row: 270, expected_value: All persons, label: sex} + - {column: E, row: 270, expected_value: Employee, label: employment type} + - {column: J, row: 270, expected_value: Value, label: measure} + - {column: L, row: 271, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 272 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 272, expected_value: K02000001, label: geography} + - {column: D, row: 272, expected_value: All persons, label: sex} + - {column: E, row: 272, expected_value: Employee, label: employment type} + - {column: J, row: 272, expected_value: Value, label: measure} + - {column: L, row: 273, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 274 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 274, expected_value: K02000001, label: geography} + - {column: D, row: 274, expected_value: All persons, label: sex} + - {column: E, row: 274, expected_value: Employee, label: employment type} + - {column: J, row: 274, expected_value: Value, label: measure} + - {column: L, row: 275, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 276 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 276, expected_value: K02000001, label: geography} + - {column: D, row: 276, expected_value: All persons, label: sex} + - {column: E, row: 276, expected_value: Employee, label: employment type} + - {column: J, row: 276, expected_value: Value, label: measure} + - {column: L, row: 277, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 278 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 278, expected_value: K02000001, label: geography} + - {column: D, row: 278, expected_value: All persons, label: sex} + - {column: E, row: 278, expected_value: Employee, label: employment type} + - {column: J, row: 278, expected_value: Value, label: measure} + - {column: L, row: 279, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 280 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 280, expected_value: K02000001, label: geography} + - {column: D, row: 280, expected_value: All persons, label: sex} + - {column: E, row: 280, expected_value: Employee, label: employment type} + - {column: J, row: 280, expected_value: Value, label: measure} + - {column: L, row: 281, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 282 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 282, expected_value: K02000001, label: geography} + - {column: D, row: 282, expected_value: All persons, label: sex} + - {column: E, row: 282, expected_value: Employee, label: employment type} + - {column: J, row: 282, expected_value: Value, label: measure} + - {column: L, row: 283, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 284 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 284, expected_value: K02000001, label: geography} + - {column: D, row: 284, expected_value: All persons, label: sex} + - {column: E, row: 284, expected_value: Employee, label: employment type} + - {column: J, row: 284, expected_value: Value, label: measure} + - {column: L, row: 285, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 286 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 286, expected_value: K02000001, label: geography} + - {column: D, row: 286, expected_value: All persons, label: sex} + - {column: E, row: 286, expected_value: Employee, label: employment type} + - {column: J, row: 286, expected_value: Value, label: measure} + - {column: L, row: 287, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 288 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 288, expected_value: K02000001, label: geography} + - {column: D, row: 288, expected_value: All persons, label: sex} + - {column: E, row: 288, expected_value: Employee, label: employment type} + - {column: J, row: 288, expected_value: Value, label: measure} + - {column: L, row: 289, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 219 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 219, expected_value: K02000001, label: geography} + - {column: D, row: 219, expected_value: All persons, label: sex} + - {column: E, row: 219, expected_value: Employee, label: employment type} + - {column: J, row: 219, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 221 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 221, expected_value: K02000001, label: geography} + - {column: D, row: 221, expected_value: All persons, label: sex} + - {column: E, row: 221, expected_value: Employee, label: employment type} + - {column: J, row: 221, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 223 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 223, expected_value: K02000001, label: geography} + - {column: D, row: 223, expected_value: All persons, label: sex} + - {column: E, row: 223, expected_value: Employee, label: employment type} + - {column: J, row: 223, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 225 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 225, expected_value: K02000001, label: geography} + - {column: D, row: 225, expected_value: All persons, label: sex} + - {column: E, row: 225, expected_value: Employee, label: employment type} + - {column: J, row: 225, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 227 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 227, expected_value: K02000001, label: geography} + - {column: D, row: 227, expected_value: All persons, label: sex} + - {column: E, row: 227, expected_value: Employee, label: employment type} + - {column: J, row: 227, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 229 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 229, expected_value: K02000001, label: geography} + - {column: D, row: 229, expected_value: All persons, label: sex} + - {column: E, row: 229, expected_value: Employee, label: employment type} + - {column: J, row: 229, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 231 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 231, expected_value: K02000001, label: geography} + - {column: D, row: 231, expected_value: All persons, label: sex} + - {column: E, row: 231, expected_value: Employee, label: employment type} + - {column: J, row: 231, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 233 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 233, expected_value: K02000001, label: geography} + - {column: D, row: 233, expected_value: All persons, label: sex} + - {column: E, row: 233, expected_value: Employee, label: employment type} + - {column: J, row: 233, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 235 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 235, expected_value: K02000001, label: geography} + - {column: D, row: 235, expected_value: All persons, label: sex} + - {column: E, row: 235, expected_value: Employee, label: employment type} + - {column: J, row: 235, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 237 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 237, expected_value: K02000001, label: geography} + - {column: D, row: 237, expected_value: All persons, label: sex} + - {column: E, row: 237, expected_value: Employee, label: employment type} + - {column: J, row: 237, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 239 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 239, expected_value: K02000001, label: geography} + - {column: D, row: 239, expected_value: All persons, label: sex} + - {column: E, row: 239, expected_value: Employee, label: employment type} + - {column: J, row: 239, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 241 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 241, expected_value: K02000001, label: geography} + - {column: D, row: 241, expected_value: All persons, label: sex} + - {column: E, row: 241, expected_value: Employee, label: employment type} + - {column: J, row: 241, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 243 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 243, expected_value: K02000001, label: geography} + - {column: D, row: 243, expected_value: All persons, label: sex} + - {column: E, row: 243, expected_value: Employee, label: employment type} + - {column: J, row: 243, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 245 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 245, expected_value: K02000001, label: geography} + - {column: D, row: 245, expected_value: All persons, label: sex} + - {column: E, row: 245, expected_value: Employee, label: employment type} + - {column: J, row: 245, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 247 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 247, expected_value: K02000001, label: geography} + - {column: D, row: 247, expected_value: All persons, label: sex} + - {column: E, row: 247, expected_value: Employee, label: employment type} + - {column: J, row: 247, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 249 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 249, expected_value: K02000001, label: geography} + - {column: D, row: 249, expected_value: All persons, label: sex} + - {column: E, row: 249, expected_value: Employee, label: employment type} + - {column: J, row: 249, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 251 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 251, expected_value: K02000001, label: geography} + - {column: D, row: 251, expected_value: All persons, label: sex} + - {column: E, row: 251, expected_value: Employee, label: employment type} + - {column: J, row: 251, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 253 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 253, expected_value: K02000001, label: geography} + - {column: D, row: 253, expected_value: All persons, label: sex} + - {column: E, row: 253, expected_value: Employee, label: employment type} + - {column: J, row: 253, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 255 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 255, expected_value: K02000001, label: geography} + - {column: D, row: 255, expected_value: All persons, label: sex} + - {column: E, row: 255, expected_value: Employee, label: employment type} + - {column: J, row: 255, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 257 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 257, expected_value: K02000001, label: geography} + - {column: D, row: 257, expected_value: All persons, label: sex} + - {column: E, row: 257, expected_value: Employee, label: employment type} + - {column: J, row: 257, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 259 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 259, expected_value: K02000001, label: geography} + - {column: D, row: 259, expected_value: All persons, label: sex} + - {column: E, row: 259, expected_value: Employee, label: employment type} + - {column: J, row: 259, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 261 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 261, expected_value: K02000001, label: geography} + - {column: D, row: 261, expected_value: All persons, label: sex} + - {column: E, row: 261, expected_value: Employee, label: employment type} + - {column: J, row: 261, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 263 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 263, expected_value: K02000001, label: geography} + - {column: D, row: 263, expected_value: All persons, label: sex} + - {column: E, row: 263, expected_value: Employee, label: employment type} + - {column: J, row: 263, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 265 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 265, expected_value: K02000001, label: geography} + - {column: D, row: 265, expected_value: All persons, label: sex} + - {column: E, row: 265, expected_value: Employee, label: employment type} + - {column: J, row: 265, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 267 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 267, expected_value: K02000001, label: geography} + - {column: D, row: 267, expected_value: All persons, label: sex} + - {column: E, row: 267, expected_value: Employee, label: employment type} + - {column: J, row: 267, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 269 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 269, expected_value: K02000001, label: geography} + - {column: D, row: 269, expected_value: All persons, label: sex} + - {column: E, row: 269, expected_value: Employee, label: employment type} + - {column: J, row: 269, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 271 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 271, expected_value: K02000001, label: geography} + - {column: D, row: 271, expected_value: All persons, label: sex} + - {column: E, row: 271, expected_value: Employee, label: employment type} + - {column: J, row: 271, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 273 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 273, expected_value: K02000001, label: geography} + - {column: D, row: 273, expected_value: All persons, label: sex} + - {column: E, row: 273, expected_value: Employee, label: employment type} + - {column: J, row: 273, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 275 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 275, expected_value: K02000001, label: geography} + - {column: D, row: 275, expected_value: All persons, label: sex} + - {column: E, row: 275, expected_value: Employee, label: employment type} + - {column: J, row: 275, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 277 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 277, expected_value: K02000001, label: geography} + - {column: D, row: 277, expected_value: All persons, label: sex} + - {column: E, row: 277, expected_value: Employee, label: employment type} + - {column: J, row: 277, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 279 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 279, expected_value: K02000001, label: geography} + - {column: D, row: 279, expected_value: All persons, label: sex} + - {column: E, row: 279, expected_value: Employee, label: employment type} + - {column: J, row: 279, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 281 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 281, expected_value: K02000001, label: geography} + - {column: D, row: 281, expected_value: All persons, label: sex} + - {column: E, row: 281, expected_value: Employee, label: employment type} + - {column: J, row: 281, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 283 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 283, expected_value: K02000001, label: geography} + - {column: D, row: 283, expected_value: All persons, label: sex} + - {column: E, row: 283, expected_value: Employee, label: employment type} + - {column: J, row: 283, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 285 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 285, expected_value: K02000001, label: geography} + - {column: D, row: 285, expected_value: All persons, label: sex} + - {column: E, row: 285, expected_value: Employee, label: employment type} + - {column: J, row: 285, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 287 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 287, expected_value: K02000001, label: geography} + - {column: D, row: 287, expected_value: All persons, label: sex} + - {column: E, row: 287, expected_value: Employee, label: employment type} + - {column: J, row: 287, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 289 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 289, expected_value: K02000001, label: geography} + - {column: D, row: 289, expected_value: All persons, label: sex} + - {column: E, row: 289, expected_value: Employee, label: employment type} + - {column: J, row: 289, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 434 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 434, expected_value: K02000001, label: geography} + - {column: D, row: 434, expected_value: All persons, label: sex} + - {column: E, row: 434, expected_value: Self-employed, label: employment type} + - {column: J, row: 434, expected_value: Value, label: measure} + - {column: L, row: 435, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 436 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 436, expected_value: K02000001, label: geography} + - {column: D, row: 436, expected_value: All persons, label: sex} + - {column: E, row: 436, expected_value: Self-employed, label: employment type} + - {column: J, row: 436, expected_value: Value, label: measure} + - {column: L, row: 437, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 438 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 438, expected_value: K02000001, label: geography} + - {column: D, row: 438, expected_value: All persons, label: sex} + - {column: E, row: 438, expected_value: Self-employed, label: employment type} + - {column: J, row: 438, expected_value: Value, label: measure} + - {column: L, row: 439, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 440 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 440, expected_value: K02000001, label: geography} + - {column: D, row: 440, expected_value: All persons, label: sex} + - {column: E, row: 440, expected_value: Self-employed, label: employment type} + - {column: J, row: 440, expected_value: Value, label: measure} + - {column: L, row: 441, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 442 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 442, expected_value: K02000001, label: geography} + - {column: D, row: 442, expected_value: All persons, label: sex} + - {column: E, row: 442, expected_value: Self-employed, label: employment type} + - {column: J, row: 442, expected_value: Value, label: measure} + - {column: L, row: 443, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 444 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 444, expected_value: K02000001, label: geography} + - {column: D, row: 444, expected_value: All persons, label: sex} + - {column: E, row: 444, expected_value: Self-employed, label: employment type} + - {column: J, row: 444, expected_value: Value, label: measure} + - {column: L, row: 445, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 446 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 446, expected_value: K02000001, label: geography} + - {column: D, row: 446, expected_value: All persons, label: sex} + - {column: E, row: 446, expected_value: Self-employed, label: employment type} + - {column: J, row: 446, expected_value: Value, label: measure} + - {column: L, row: 447, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 448 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 448, expected_value: K02000001, label: geography} + - {column: D, row: 448, expected_value: All persons, label: sex} + - {column: E, row: 448, expected_value: Self-employed, label: employment type} + - {column: J, row: 448, expected_value: Value, label: measure} + - {column: L, row: 449, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 450 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 450, expected_value: K02000001, label: geography} + - {column: D, row: 450, expected_value: All persons, label: sex} + - {column: E, row: 450, expected_value: Self-employed, label: employment type} + - {column: J, row: 450, expected_value: Value, label: measure} + - {column: L, row: 451, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 452 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 452, expected_value: K02000001, label: geography} + - {column: D, row: 452, expected_value: All persons, label: sex} + - {column: E, row: 452, expected_value: Self-employed, label: employment type} + - {column: J, row: 452, expected_value: Value, label: measure} + - {column: L, row: 453, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 454 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 454, expected_value: K02000001, label: geography} + - {column: D, row: 454, expected_value: All persons, label: sex} + - {column: E, row: 454, expected_value: Self-employed, label: employment type} + - {column: J, row: 454, expected_value: Value, label: measure} + - {column: L, row: 455, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 456 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 456, expected_value: K02000001, label: geography} + - {column: D, row: 456, expected_value: All persons, label: sex} + - {column: E, row: 456, expected_value: Self-employed, label: employment type} + - {column: J, row: 456, expected_value: Value, label: measure} + - {column: L, row: 457, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 458 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 458, expected_value: K02000001, label: geography} + - {column: D, row: 458, expected_value: All persons, label: sex} + - {column: E, row: 458, expected_value: Self-employed, label: employment type} + - {column: J, row: 458, expected_value: Value, label: measure} + - {column: L, row: 459, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 460 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 460, expected_value: K02000001, label: geography} + - {column: D, row: 460, expected_value: All persons, label: sex} + - {column: E, row: 460, expected_value: Self-employed, label: employment type} + - {column: J, row: 460, expected_value: Value, label: measure} + - {column: L, row: 461, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 462 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 462, expected_value: K02000001, label: geography} + - {column: D, row: 462, expected_value: All persons, label: sex} + - {column: E, row: 462, expected_value: Self-employed, label: employment type} + - {column: J, row: 462, expected_value: Value, label: measure} + - {column: L, row: 463, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 464 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 464, expected_value: K02000001, label: geography} + - {column: D, row: 464, expected_value: All persons, label: sex} + - {column: E, row: 464, expected_value: Self-employed, label: employment type} + - {column: J, row: 464, expected_value: Value, label: measure} + - {column: L, row: 465, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 466 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 466, expected_value: K02000001, label: geography} + - {column: D, row: 466, expected_value: All persons, label: sex} + - {column: E, row: 466, expected_value: Self-employed, label: employment type} + - {column: J, row: 466, expected_value: Value, label: measure} + - {column: L, row: 467, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 468 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 468, expected_value: K02000001, label: geography} + - {column: D, row: 468, expected_value: All persons, label: sex} + - {column: E, row: 468, expected_value: Self-employed, label: employment type} + - {column: J, row: 468, expected_value: Value, label: measure} + - {column: L, row: 469, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 470 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 470, expected_value: K02000001, label: geography} + - {column: D, row: 470, expected_value: All persons, label: sex} + - {column: E, row: 470, expected_value: Self-employed, label: employment type} + - {column: J, row: 470, expected_value: Value, label: measure} + - {column: L, row: 471, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 472 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 472, expected_value: K02000001, label: geography} + - {column: D, row: 472, expected_value: All persons, label: sex} + - {column: E, row: 472, expected_value: Self-employed, label: employment type} + - {column: J, row: 472, expected_value: Value, label: measure} + - {column: L, row: 473, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 474 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 474, expected_value: K02000001, label: geography} + - {column: D, row: 474, expected_value: All persons, label: sex} + - {column: E, row: 474, expected_value: Self-employed, label: employment type} + - {column: J, row: 474, expected_value: Value, label: measure} + - {column: L, row: 475, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 476 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 476, expected_value: K02000001, label: geography} + - {column: D, row: 476, expected_value: All persons, label: sex} + - {column: E, row: 476, expected_value: Self-employed, label: employment type} + - {column: J, row: 476, expected_value: Value, label: measure} + - {column: L, row: 477, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 478 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 478, expected_value: K02000001, label: geography} + - {column: D, row: 478, expected_value: All persons, label: sex} + - {column: E, row: 478, expected_value: Self-employed, label: employment type} + - {column: J, row: 478, expected_value: Value, label: measure} + - {column: L, row: 479, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 480 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 480, expected_value: K02000001, label: geography} + - {column: D, row: 480, expected_value: All persons, label: sex} + - {column: E, row: 480, expected_value: Self-employed, label: employment type} + - {column: J, row: 480, expected_value: Value, label: measure} + - {column: L, row: 481, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 482 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 482, expected_value: K02000001, label: geography} + - {column: D, row: 482, expected_value: All persons, label: sex} + - {column: E, row: 482, expected_value: Self-employed, label: employment type} + - {column: J, row: 482, expected_value: Value, label: measure} + - {column: L, row: 483, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 484 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 484, expected_value: K02000001, label: geography} + - {column: D, row: 484, expected_value: All persons, label: sex} + - {column: E, row: 484, expected_value: Self-employed, label: employment type} + - {column: J, row: 484, expected_value: Value, label: measure} + - {column: L, row: 485, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 488 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 488, expected_value: K02000001, label: geography} + - {column: D, row: 488, expected_value: All persons, label: sex} + - {column: E, row: 488, expected_value: Self-employed, label: employment type} + - {column: J, row: 488, expected_value: Value, label: measure} + - {column: L, row: 489, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 490 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 490, expected_value: K02000001, label: geography} + - {column: D, row: 490, expected_value: All persons, label: sex} + - {column: E, row: 490, expected_value: Self-employed, label: employment type} + - {column: J, row: 490, expected_value: Value, label: measure} + - {column: L, row: 491, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 492 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 492, expected_value: K02000001, label: geography} + - {column: D, row: 492, expected_value: All persons, label: sex} + - {column: E, row: 492, expected_value: Self-employed, label: employment type} + - {column: J, row: 492, expected_value: Value, label: measure} + - {column: L, row: 493, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 494 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 494, expected_value: K02000001, label: geography} + - {column: D, row: 494, expected_value: All persons, label: sex} + - {column: E, row: 494, expected_value: Self-employed, label: employment type} + - {column: J, row: 494, expected_value: Value, label: measure} + - {column: L, row: 495, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 496 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 496, expected_value: K02000001, label: geography} + - {column: D, row: 496, expected_value: All persons, label: sex} + - {column: E, row: 496, expected_value: Self-employed, label: employment type} + - {column: J, row: 496, expected_value: Value, label: measure} + - {column: L, row: 497, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 498 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 498, expected_value: K02000001, label: geography} + - {column: D, row: 498, expected_value: All persons, label: sex} + - {column: E, row: 498, expected_value: Self-employed, label: employment type} + - {column: J, row: 498, expected_value: Value, label: measure} + - {column: L, row: 499, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 500 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 500, expected_value: K02000001, label: geography} + - {column: D, row: 500, expected_value: All persons, label: sex} + - {column: E, row: 500, expected_value: Self-employed, label: employment type} + - {column: J, row: 500, expected_value: Value, label: measure} + - {column: L, row: 501, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 502 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 502, expected_value: K02000001, label: geography} + - {column: D, row: 502, expected_value: All persons, label: sex} + - {column: E, row: 502, expected_value: Self-employed, label: employment type} + - {column: J, row: 502, expected_value: Value, label: measure} + - {column: L, row: 503, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 504 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 504, expected_value: K02000001, label: geography} + - {column: D, row: 504, expected_value: All persons, label: sex} + - {column: E, row: 504, expected_value: Self-employed, label: employment type} + - {column: J, row: 504, expected_value: Value, label: measure} + - {column: L, row: 505, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 435 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 435, expected_value: K02000001, label: geography} + - {column: D, row: 435, expected_value: All persons, label: sex} + - {column: E, row: 435, expected_value: Self-employed, label: employment type} + - {column: J, row: 435, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 437 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 437, expected_value: K02000001, label: geography} + - {column: D, row: 437, expected_value: All persons, label: sex} + - {column: E, row: 437, expected_value: Self-employed, label: employment type} + - {column: J, row: 437, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 439 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 439, expected_value: K02000001, label: geography} + - {column: D, row: 439, expected_value: All persons, label: sex} + - {column: E, row: 439, expected_value: Self-employed, label: employment type} + - {column: J, row: 439, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 441 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 441, expected_value: K02000001, label: geography} + - {column: D, row: 441, expected_value: All persons, label: sex} + - {column: E, row: 441, expected_value: Self-employed, label: employment type} + - {column: J, row: 441, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 443 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 443, expected_value: K02000001, label: geography} + - {column: D, row: 443, expected_value: All persons, label: sex} + - {column: E, row: 443, expected_value: Self-employed, label: employment type} + - {column: J, row: 443, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 445 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 445, expected_value: K02000001, label: geography} + - {column: D, row: 445, expected_value: All persons, label: sex} + - {column: E, row: 445, expected_value: Self-employed, label: employment type} + - {column: J, row: 445, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 447 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 447, expected_value: K02000001, label: geography} + - {column: D, row: 447, expected_value: All persons, label: sex} + - {column: E, row: 447, expected_value: Self-employed, label: employment type} + - {column: J, row: 447, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 449 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 449, expected_value: K02000001, label: geography} + - {column: D, row: 449, expected_value: All persons, label: sex} + - {column: E, row: 449, expected_value: Self-employed, label: employment type} + - {column: J, row: 449, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 451 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 451, expected_value: K02000001, label: geography} + - {column: D, row: 451, expected_value: All persons, label: sex} + - {column: E, row: 451, expected_value: Self-employed, label: employment type} + - {column: J, row: 451, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 453 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 453, expected_value: K02000001, label: geography} + - {column: D, row: 453, expected_value: All persons, label: sex} + - {column: E, row: 453, expected_value: Self-employed, label: employment type} + - {column: J, row: 453, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 455 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 455, expected_value: K02000001, label: geography} + - {column: D, row: 455, expected_value: All persons, label: sex} + - {column: E, row: 455, expected_value: Self-employed, label: employment type} + - {column: J, row: 455, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 457 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 457, expected_value: K02000001, label: geography} + - {column: D, row: 457, expected_value: All persons, label: sex} + - {column: E, row: 457, expected_value: Self-employed, label: employment type} + - {column: J, row: 457, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 459 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 459, expected_value: K02000001, label: geography} + - {column: D, row: 459, expected_value: All persons, label: sex} + - {column: E, row: 459, expected_value: Self-employed, label: employment type} + - {column: J, row: 459, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 461 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 461, expected_value: K02000001, label: geography} + - {column: D, row: 461, expected_value: All persons, label: sex} + - {column: E, row: 461, expected_value: Self-employed, label: employment type} + - {column: J, row: 461, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 463 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 463, expected_value: K02000001, label: geography} + - {column: D, row: 463, expected_value: All persons, label: sex} + - {column: E, row: 463, expected_value: Self-employed, label: employment type} + - {column: J, row: 463, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 465 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 465, expected_value: K02000001, label: geography} + - {column: D, row: 465, expected_value: All persons, label: sex} + - {column: E, row: 465, expected_value: Self-employed, label: employment type} + - {column: J, row: 465, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 467 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 467, expected_value: K02000001, label: geography} + - {column: D, row: 467, expected_value: All persons, label: sex} + - {column: E, row: 467, expected_value: Self-employed, label: employment type} + - {column: J, row: 467, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 469 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 469, expected_value: K02000001, label: geography} + - {column: D, row: 469, expected_value: All persons, label: sex} + - {column: E, row: 469, expected_value: Self-employed, label: employment type} + - {column: J, row: 469, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 471 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 471, expected_value: K02000001, label: geography} + - {column: D, row: 471, expected_value: All persons, label: sex} + - {column: E, row: 471, expected_value: Self-employed, label: employment type} + - {column: J, row: 471, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 473 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 473, expected_value: K02000001, label: geography} + - {column: D, row: 473, expected_value: All persons, label: sex} + - {column: E, row: 473, expected_value: Self-employed, label: employment type} + - {column: J, row: 473, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 475 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 475, expected_value: K02000001, label: geography} + - {column: D, row: 475, expected_value: All persons, label: sex} + - {column: E, row: 475, expected_value: Self-employed, label: employment type} + - {column: J, row: 475, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 477 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 477, expected_value: K02000001, label: geography} + - {column: D, row: 477, expected_value: All persons, label: sex} + - {column: E, row: 477, expected_value: Self-employed, label: employment type} + - {column: J, row: 477, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 479 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 479, expected_value: K02000001, label: geography} + - {column: D, row: 479, expected_value: All persons, label: sex} + - {column: E, row: 479, expected_value: Self-employed, label: employment type} + - {column: J, row: 479, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 481 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 481, expected_value: K02000001, label: geography} + - {column: D, row: 481, expected_value: All persons, label: sex} + - {column: E, row: 481, expected_value: Self-employed, label: employment type} + - {column: J, row: 481, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 483 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 483, expected_value: K02000001, label: geography} + - {column: D, row: 483, expected_value: All persons, label: sex} + - {column: E, row: 483, expected_value: Self-employed, label: employment type} + - {column: J, row: 483, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 485 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 485, expected_value: K02000001, label: geography} + - {column: D, row: 485, expected_value: All persons, label: sex} + - {column: E, row: 485, expected_value: Self-employed, label: employment type} + - {column: J, row: 485, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 489 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 489, expected_value: K02000001, label: geography} + - {column: D, row: 489, expected_value: All persons, label: sex} + - {column: E, row: 489, expected_value: Self-employed, label: employment type} + - {column: J, row: 489, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 491 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 491, expected_value: K02000001, label: geography} + - {column: D, row: 491, expected_value: All persons, label: sex} + - {column: E, row: 491, expected_value: Self-employed, label: employment type} + - {column: J, row: 491, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 493 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 493, expected_value: K02000001, label: geography} + - {column: D, row: 493, expected_value: All persons, label: sex} + - {column: E, row: 493, expected_value: Self-employed, label: employment type} + - {column: J, row: 493, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 495 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 495, expected_value: K02000001, label: geography} + - {column: D, row: 495, expected_value: All persons, label: sex} + - {column: E, row: 495, expected_value: Self-employed, label: employment type} + - {column: J, row: 495, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 497 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 497, expected_value: K02000001, label: geography} + - {column: D, row: 497, expected_value: All persons, label: sex} + - {column: E, row: 497, expected_value: Self-employed, label: employment type} + - {column: J, row: 497, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 499 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 499, expected_value: K02000001, label: geography} + - {column: D, row: 499, expected_value: All persons, label: sex} + - {column: E, row: 499, expected_value: Self-employed, label: employment type} + - {column: J, row: 499, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 501 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 501, expected_value: K02000001, label: geography} + - {column: D, row: 501, expected_value: All persons, label: sex} + - {column: E, row: 501, expected_value: Self-employed, label: employment type} + - {column: J, row: 501, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 503 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 503, expected_value: K02000001, label: geography} + - {column: D, row: 503, expected_value: All persons, label: sex} + - {column: E, row: 503, expected_value: Self-employed, label: employment type} + - {column: J, row: 503, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 505 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 505, expected_value: K02000001, label: geography} + - {column: D, row: 505, expected_value: All persons, label: sex} + - {column: E, row: 505, expected_value: Self-employed, label: employment type} + - {column: J, row: 505, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 74 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 74, expected_value: K02000001, label: geography} + - {column: D, row: 74, expected_value: Males, label: sex} + - {column: E, row: 74, expected_value: Total, label: employment type} + - {column: J, row: 74, expected_value: Value, label: measure} + - {column: L, row: 75, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 76 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 76, expected_value: K02000001, label: geography} + - {column: D, row: 76, expected_value: Males, label: sex} + - {column: E, row: 76, expected_value: Total, label: employment type} + - {column: J, row: 76, expected_value: Value, label: measure} + - {column: L, row: 77, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 78 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 78, expected_value: K02000001, label: geography} + - {column: D, row: 78, expected_value: Males, label: sex} + - {column: E, row: 78, expected_value: Total, label: employment type} + - {column: J, row: 78, expected_value: Value, label: measure} + - {column: L, row: 79, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 80 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 80, expected_value: K02000001, label: geography} + - {column: D, row: 80, expected_value: Males, label: sex} + - {column: E, row: 80, expected_value: Total, label: employment type} + - {column: J, row: 80, expected_value: Value, label: measure} + - {column: L, row: 81, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 82 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 82, expected_value: K02000001, label: geography} + - {column: D, row: 82, expected_value: Males, label: sex} + - {column: E, row: 82, expected_value: Total, label: employment type} + - {column: J, row: 82, expected_value: Value, label: measure} + - {column: L, row: 83, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 84 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 84, expected_value: K02000001, label: geography} + - {column: D, row: 84, expected_value: Males, label: sex} + - {column: E, row: 84, expected_value: Total, label: employment type} + - {column: J, row: 84, expected_value: Value, label: measure} + - {column: L, row: 85, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 86 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 86, expected_value: K02000001, label: geography} + - {column: D, row: 86, expected_value: Males, label: sex} + - {column: E, row: 86, expected_value: Total, label: employment type} + - {column: J, row: 86, expected_value: Value, label: measure} + - {column: L, row: 87, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 88 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 88, expected_value: K02000001, label: geography} + - {column: D, row: 88, expected_value: Males, label: sex} + - {column: E, row: 88, expected_value: Total, label: employment type} + - {column: J, row: 88, expected_value: Value, label: measure} + - {column: L, row: 89, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 90 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 90, expected_value: K02000001, label: geography} + - {column: D, row: 90, expected_value: Males, label: sex} + - {column: E, row: 90, expected_value: Total, label: employment type} + - {column: J, row: 90, expected_value: Value, label: measure} + - {column: L, row: 91, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 92 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 92, expected_value: K02000001, label: geography} + - {column: D, row: 92, expected_value: Males, label: sex} + - {column: E, row: 92, expected_value: Total, label: employment type} + - {column: J, row: 92, expected_value: Value, label: measure} + - {column: L, row: 93, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 94 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 94, expected_value: K02000001, label: geography} + - {column: D, row: 94, expected_value: Males, label: sex} + - {column: E, row: 94, expected_value: Total, label: employment type} + - {column: J, row: 94, expected_value: Value, label: measure} + - {column: L, row: 95, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 96 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 96, expected_value: K02000001, label: geography} + - {column: D, row: 96, expected_value: Males, label: sex} + - {column: E, row: 96, expected_value: Total, label: employment type} + - {column: J, row: 96, expected_value: Value, label: measure} + - {column: L, row: 97, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 98 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 98, expected_value: K02000001, label: geography} + - {column: D, row: 98, expected_value: Males, label: sex} + - {column: E, row: 98, expected_value: Total, label: employment type} + - {column: J, row: 98, expected_value: Value, label: measure} + - {column: L, row: 99, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 100 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 100, expected_value: K02000001, label: geography} + - {column: D, row: 100, expected_value: Males, label: sex} + - {column: E, row: 100, expected_value: Total, label: employment type} + - {column: J, row: 100, expected_value: Value, label: measure} + - {column: L, row: 101, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 102 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 102, expected_value: K02000001, label: geography} + - {column: D, row: 102, expected_value: Males, label: sex} + - {column: E, row: 102, expected_value: Total, label: employment type} + - {column: J, row: 102, expected_value: Value, label: measure} + - {column: L, row: 103, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 104 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 104, expected_value: K02000001, label: geography} + - {column: D, row: 104, expected_value: Males, label: sex} + - {column: E, row: 104, expected_value: Total, label: employment type} + - {column: J, row: 104, expected_value: Value, label: measure} + - {column: L, row: 105, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 106 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 106, expected_value: K02000001, label: geography} + - {column: D, row: 106, expected_value: Males, label: sex} + - {column: E, row: 106, expected_value: Total, label: employment type} + - {column: J, row: 106, expected_value: Value, label: measure} + - {column: L, row: 107, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 108 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 108, expected_value: K02000001, label: geography} + - {column: D, row: 108, expected_value: Males, label: sex} + - {column: E, row: 108, expected_value: Total, label: employment type} + - {column: J, row: 108, expected_value: Value, label: measure} + - {column: L, row: 109, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 110 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 110, expected_value: K02000001, label: geography} + - {column: D, row: 110, expected_value: Males, label: sex} + - {column: E, row: 110, expected_value: Total, label: employment type} + - {column: J, row: 110, expected_value: Value, label: measure} + - {column: L, row: 111, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 112 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 112, expected_value: K02000001, label: geography} + - {column: D, row: 112, expected_value: Males, label: sex} + - {column: E, row: 112, expected_value: Total, label: employment type} + - {column: J, row: 112, expected_value: Value, label: measure} + - {column: L, row: 113, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 114 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 114, expected_value: K02000001, label: geography} + - {column: D, row: 114, expected_value: Males, label: sex} + - {column: E, row: 114, expected_value: Total, label: employment type} + - {column: J, row: 114, expected_value: Value, label: measure} + - {column: L, row: 115, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 116 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 116, expected_value: K02000001, label: geography} + - {column: D, row: 116, expected_value: Males, label: sex} + - {column: E, row: 116, expected_value: Total, label: employment type} + - {column: J, row: 116, expected_value: Value, label: measure} + - {column: L, row: 117, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 118 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 118, expected_value: K02000001, label: geography} + - {column: D, row: 118, expected_value: Males, label: sex} + - {column: E, row: 118, expected_value: Total, label: employment type} + - {column: J, row: 118, expected_value: Value, label: measure} + - {column: L, row: 119, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 120 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 120, expected_value: K02000001, label: geography} + - {column: D, row: 120, expected_value: Males, label: sex} + - {column: E, row: 120, expected_value: Total, label: employment type} + - {column: J, row: 120, expected_value: Value, label: measure} + - {column: L, row: 121, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 122 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 122, expected_value: K02000001, label: geography} + - {column: D, row: 122, expected_value: Males, label: sex} + - {column: E, row: 122, expected_value: Total, label: employment type} + - {column: J, row: 122, expected_value: Value, label: measure} + - {column: L, row: 123, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 124 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 124, expected_value: K02000001, label: geography} + - {column: D, row: 124, expected_value: Males, label: sex} + - {column: E, row: 124, expected_value: Total, label: employment type} + - {column: J, row: 124, expected_value: Value, label: measure} + - {column: L, row: 125, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 126 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 126, expected_value: K02000001, label: geography} + - {column: D, row: 126, expected_value: Males, label: sex} + - {column: E, row: 126, expected_value: Total, label: employment type} + - {column: J, row: 126, expected_value: Value, label: measure} + - {column: L, row: 127, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 128 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 128, expected_value: K02000001, label: geography} + - {column: D, row: 128, expected_value: Males, label: sex} + - {column: E, row: 128, expected_value: Total, label: employment type} + - {column: J, row: 128, expected_value: Value, label: measure} + - {column: L, row: 129, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 130 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 130, expected_value: K02000001, label: geography} + - {column: D, row: 130, expected_value: Males, label: sex} + - {column: E, row: 130, expected_value: Total, label: employment type} + - {column: J, row: 130, expected_value: Value, label: measure} + - {column: L, row: 131, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 132 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 132, expected_value: K02000001, label: geography} + - {column: D, row: 132, expected_value: Males, label: sex} + - {column: E, row: 132, expected_value: Total, label: employment type} + - {column: J, row: 132, expected_value: Value, label: measure} + - {column: L, row: 133, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 134 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 134, expected_value: K02000001, label: geography} + - {column: D, row: 134, expected_value: Males, label: sex} + - {column: E, row: 134, expected_value: Total, label: employment type} + - {column: J, row: 134, expected_value: Value, label: measure} + - {column: L, row: 135, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 136 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 136, expected_value: K02000001, label: geography} + - {column: D, row: 136, expected_value: Males, label: sex} + - {column: E, row: 136, expected_value: Total, label: employment type} + - {column: J, row: 136, expected_value: Value, label: measure} + - {column: L, row: 137, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 138 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 138, expected_value: K02000001, label: geography} + - {column: D, row: 138, expected_value: Males, label: sex} + - {column: E, row: 138, expected_value: Total, label: employment type} + - {column: J, row: 138, expected_value: Value, label: measure} + - {column: L, row: 139, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 140 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 140, expected_value: K02000001, label: geography} + - {column: D, row: 140, expected_value: Males, label: sex} + - {column: E, row: 140, expected_value: Total, label: employment type} + - {column: J, row: 140, expected_value: Value, label: measure} + - {column: L, row: 141, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 142 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 142, expected_value: K02000001, label: geography} + - {column: D, row: 142, expected_value: Males, label: sex} + - {column: E, row: 142, expected_value: Total, label: employment type} + - {column: J, row: 142, expected_value: Value, label: measure} + - {column: L, row: 143, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 144 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 144, expected_value: K02000001, label: geography} + - {column: D, row: 144, expected_value: Males, label: sex} + - {column: E, row: 144, expected_value: Total, label: employment type} + - {column: J, row: 144, expected_value: Value, label: measure} + - {column: L, row: 145, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 75 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 75, expected_value: K02000001, label: geography} + - {column: D, row: 75, expected_value: Males, label: sex} + - {column: E, row: 75, expected_value: Total, label: employment type} + - {column: J, row: 75, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 77 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 77, expected_value: K02000001, label: geography} + - {column: D, row: 77, expected_value: Males, label: sex} + - {column: E, row: 77, expected_value: Total, label: employment type} + - {column: J, row: 77, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 79 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 79, expected_value: K02000001, label: geography} + - {column: D, row: 79, expected_value: Males, label: sex} + - {column: E, row: 79, expected_value: Total, label: employment type} + - {column: J, row: 79, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 81 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 81, expected_value: K02000001, label: geography} + - {column: D, row: 81, expected_value: Males, label: sex} + - {column: E, row: 81, expected_value: Total, label: employment type} + - {column: J, row: 81, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 83 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 83, expected_value: K02000001, label: geography} + - {column: D, row: 83, expected_value: Males, label: sex} + - {column: E, row: 83, expected_value: Total, label: employment type} + - {column: J, row: 83, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 85 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 85, expected_value: K02000001, label: geography} + - {column: D, row: 85, expected_value: Males, label: sex} + - {column: E, row: 85, expected_value: Total, label: employment type} + - {column: J, row: 85, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 87 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 87, expected_value: K02000001, label: geography} + - {column: D, row: 87, expected_value: Males, label: sex} + - {column: E, row: 87, expected_value: Total, label: employment type} + - {column: J, row: 87, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 89 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 89, expected_value: K02000001, label: geography} + - {column: D, row: 89, expected_value: Males, label: sex} + - {column: E, row: 89, expected_value: Total, label: employment type} + - {column: J, row: 89, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 91 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 91, expected_value: K02000001, label: geography} + - {column: D, row: 91, expected_value: Males, label: sex} + - {column: E, row: 91, expected_value: Total, label: employment type} + - {column: J, row: 91, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 93 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 93, expected_value: K02000001, label: geography} + - {column: D, row: 93, expected_value: Males, label: sex} + - {column: E, row: 93, expected_value: Total, label: employment type} + - {column: J, row: 93, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 95 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 95, expected_value: K02000001, label: geography} + - {column: D, row: 95, expected_value: Males, label: sex} + - {column: E, row: 95, expected_value: Total, label: employment type} + - {column: J, row: 95, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 97 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 97, expected_value: K02000001, label: geography} + - {column: D, row: 97, expected_value: Males, label: sex} + - {column: E, row: 97, expected_value: Total, label: employment type} + - {column: J, row: 97, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 99 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 99, expected_value: K02000001, label: geography} + - {column: D, row: 99, expected_value: Males, label: sex} + - {column: E, row: 99, expected_value: Total, label: employment type} + - {column: J, row: 99, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 101 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 101, expected_value: K02000001, label: geography} + - {column: D, row: 101, expected_value: Males, label: sex} + - {column: E, row: 101, expected_value: Total, label: employment type} + - {column: J, row: 101, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 103 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 103, expected_value: K02000001, label: geography} + - {column: D, row: 103, expected_value: Males, label: sex} + - {column: E, row: 103, expected_value: Total, label: employment type} + - {column: J, row: 103, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 105 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 105, expected_value: K02000001, label: geography} + - {column: D, row: 105, expected_value: Males, label: sex} + - {column: E, row: 105, expected_value: Total, label: employment type} + - {column: J, row: 105, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 107 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 107, expected_value: K02000001, label: geography} + - {column: D, row: 107, expected_value: Males, label: sex} + - {column: E, row: 107, expected_value: Total, label: employment type} + - {column: J, row: 107, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 109 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 109, expected_value: K02000001, label: geography} + - {column: D, row: 109, expected_value: Males, label: sex} + - {column: E, row: 109, expected_value: Total, label: employment type} + - {column: J, row: 109, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 111 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 111, expected_value: K02000001, label: geography} + - {column: D, row: 111, expected_value: Males, label: sex} + - {column: E, row: 111, expected_value: Total, label: employment type} + - {column: J, row: 111, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 113 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 113, expected_value: K02000001, label: geography} + - {column: D, row: 113, expected_value: Males, label: sex} + - {column: E, row: 113, expected_value: Total, label: employment type} + - {column: J, row: 113, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 115 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 115, expected_value: K02000001, label: geography} + - {column: D, row: 115, expected_value: Males, label: sex} + - {column: E, row: 115, expected_value: Total, label: employment type} + - {column: J, row: 115, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 117 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 117, expected_value: K02000001, label: geography} + - {column: D, row: 117, expected_value: Males, label: sex} + - {column: E, row: 117, expected_value: Total, label: employment type} + - {column: J, row: 117, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 119 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 119, expected_value: K02000001, label: geography} + - {column: D, row: 119, expected_value: Males, label: sex} + - {column: E, row: 119, expected_value: Total, label: employment type} + - {column: J, row: 119, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 121 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 121, expected_value: K02000001, label: geography} + - {column: D, row: 121, expected_value: Males, label: sex} + - {column: E, row: 121, expected_value: Total, label: employment type} + - {column: J, row: 121, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 123 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 123, expected_value: K02000001, label: geography} + - {column: D, row: 123, expected_value: Males, label: sex} + - {column: E, row: 123, expected_value: Total, label: employment type} + - {column: J, row: 123, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 125 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 125, expected_value: K02000001, label: geography} + - {column: D, row: 125, expected_value: Males, label: sex} + - {column: E, row: 125, expected_value: Total, label: employment type} + - {column: J, row: 125, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 127 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 127, expected_value: K02000001, label: geography} + - {column: D, row: 127, expected_value: Males, label: sex} + - {column: E, row: 127, expected_value: Total, label: employment type} + - {column: J, row: 127, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 129 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 129, expected_value: K02000001, label: geography} + - {column: D, row: 129, expected_value: Males, label: sex} + - {column: E, row: 129, expected_value: Total, label: employment type} + - {column: J, row: 129, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 131 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 131, expected_value: K02000001, label: geography} + - {column: D, row: 131, expected_value: Males, label: sex} + - {column: E, row: 131, expected_value: Total, label: employment type} + - {column: J, row: 131, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 133 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 133, expected_value: K02000001, label: geography} + - {column: D, row: 133, expected_value: Males, label: sex} + - {column: E, row: 133, expected_value: Total, label: employment type} + - {column: J, row: 133, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 135 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 135, expected_value: K02000001, label: geography} + - {column: D, row: 135, expected_value: Males, label: sex} + - {column: E, row: 135, expected_value: Total, label: employment type} + - {column: J, row: 135, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 137 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 137, expected_value: K02000001, label: geography} + - {column: D, row: 137, expected_value: Males, label: sex} + - {column: E, row: 137, expected_value: Total, label: employment type} + - {column: J, row: 137, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 139 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 139, expected_value: K02000001, label: geography} + - {column: D, row: 139, expected_value: Males, label: sex} + - {column: E, row: 139, expected_value: Total, label: employment type} + - {column: J, row: 139, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 141 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 141, expected_value: K02000001, label: geography} + - {column: D, row: 141, expected_value: Males, label: sex} + - {column: E, row: 141, expected_value: Total, label: employment type} + - {column: J, row: 141, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 143 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 143, expected_value: K02000001, label: geography} + - {column: D, row: 143, expected_value: Males, label: sex} + - {column: E, row: 143, expected_value: Total, label: employment type} + - {column: J, row: 143, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 145 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 145, expected_value: K02000001, label: geography} + - {column: D, row: 145, expected_value: Males, label: sex} + - {column: E, row: 145, expected_value: Total, label: employment type} + - {column: J, row: 145, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 290 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 290, expected_value: K02000001, label: geography} + - {column: D, row: 290, expected_value: Males, label: sex} + - {column: E, row: 290, expected_value: Employee, label: employment type} + - {column: J, row: 290, expected_value: Value, label: measure} + - {column: L, row: 291, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 292 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 292, expected_value: K02000001, label: geography} + - {column: D, row: 292, expected_value: Males, label: sex} + - {column: E, row: 292, expected_value: Employee, label: employment type} + - {column: J, row: 292, expected_value: Value, label: measure} + - {column: L, row: 293, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 294 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 294, expected_value: K02000001, label: geography} + - {column: D, row: 294, expected_value: Males, label: sex} + - {column: E, row: 294, expected_value: Employee, label: employment type} + - {column: J, row: 294, expected_value: Value, label: measure} + - {column: L, row: 295, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 296 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 296, expected_value: K02000001, label: geography} + - {column: D, row: 296, expected_value: Males, label: sex} + - {column: E, row: 296, expected_value: Employee, label: employment type} + - {column: J, row: 296, expected_value: Value, label: measure} + - {column: L, row: 297, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 298 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 298, expected_value: K02000001, label: geography} + - {column: D, row: 298, expected_value: Males, label: sex} + - {column: E, row: 298, expected_value: Employee, label: employment type} + - {column: J, row: 298, expected_value: Value, label: measure} + - {column: L, row: 299, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 300 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 300, expected_value: K02000001, label: geography} + - {column: D, row: 300, expected_value: Males, label: sex} + - {column: E, row: 300, expected_value: Employee, label: employment type} + - {column: J, row: 300, expected_value: Value, label: measure} + - {column: L, row: 301, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 302 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 302, expected_value: K02000001, label: geography} + - {column: D, row: 302, expected_value: Males, label: sex} + - {column: E, row: 302, expected_value: Employee, label: employment type} + - {column: J, row: 302, expected_value: Value, label: measure} + - {column: L, row: 303, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 304 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 304, expected_value: K02000001, label: geography} + - {column: D, row: 304, expected_value: Males, label: sex} + - {column: E, row: 304, expected_value: Employee, label: employment type} + - {column: J, row: 304, expected_value: Value, label: measure} + - {column: L, row: 305, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 306 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 306, expected_value: K02000001, label: geography} + - {column: D, row: 306, expected_value: Males, label: sex} + - {column: E, row: 306, expected_value: Employee, label: employment type} + - {column: J, row: 306, expected_value: Value, label: measure} + - {column: L, row: 307, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 308 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 308, expected_value: K02000001, label: geography} + - {column: D, row: 308, expected_value: Males, label: sex} + - {column: E, row: 308, expected_value: Employee, label: employment type} + - {column: J, row: 308, expected_value: Value, label: measure} + - {column: L, row: 309, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 310 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 310, expected_value: K02000001, label: geography} + - {column: D, row: 310, expected_value: Males, label: sex} + - {column: E, row: 310, expected_value: Employee, label: employment type} + - {column: J, row: 310, expected_value: Value, label: measure} + - {column: L, row: 311, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 312 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 312, expected_value: K02000001, label: geography} + - {column: D, row: 312, expected_value: Males, label: sex} + - {column: E, row: 312, expected_value: Employee, label: employment type} + - {column: J, row: 312, expected_value: Value, label: measure} + - {column: L, row: 313, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 314 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 314, expected_value: K02000001, label: geography} + - {column: D, row: 314, expected_value: Males, label: sex} + - {column: E, row: 314, expected_value: Employee, label: employment type} + - {column: J, row: 314, expected_value: Value, label: measure} + - {column: L, row: 315, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 316 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 316, expected_value: K02000001, label: geography} + - {column: D, row: 316, expected_value: Males, label: sex} + - {column: E, row: 316, expected_value: Employee, label: employment type} + - {column: J, row: 316, expected_value: Value, label: measure} + - {column: L, row: 317, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 318 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 318, expected_value: K02000001, label: geography} + - {column: D, row: 318, expected_value: Males, label: sex} + - {column: E, row: 318, expected_value: Employee, label: employment type} + - {column: J, row: 318, expected_value: Value, label: measure} + - {column: L, row: 319, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 320 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 320, expected_value: K02000001, label: geography} + - {column: D, row: 320, expected_value: Males, label: sex} + - {column: E, row: 320, expected_value: Employee, label: employment type} + - {column: J, row: 320, expected_value: Value, label: measure} + - {column: L, row: 321, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 322 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 322, expected_value: K02000001, label: geography} + - {column: D, row: 322, expected_value: Males, label: sex} + - {column: E, row: 322, expected_value: Employee, label: employment type} + - {column: J, row: 322, expected_value: Value, label: measure} + - {column: L, row: 323, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 324 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 324, expected_value: K02000001, label: geography} + - {column: D, row: 324, expected_value: Males, label: sex} + - {column: E, row: 324, expected_value: Employee, label: employment type} + - {column: J, row: 324, expected_value: Value, label: measure} + - {column: L, row: 325, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 326 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 326, expected_value: K02000001, label: geography} + - {column: D, row: 326, expected_value: Males, label: sex} + - {column: E, row: 326, expected_value: Employee, label: employment type} + - {column: J, row: 326, expected_value: Value, label: measure} + - {column: L, row: 327, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 328 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 328, expected_value: K02000001, label: geography} + - {column: D, row: 328, expected_value: Males, label: sex} + - {column: E, row: 328, expected_value: Employee, label: employment type} + - {column: J, row: 328, expected_value: Value, label: measure} + - {column: L, row: 329, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 330 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 330, expected_value: K02000001, label: geography} + - {column: D, row: 330, expected_value: Males, label: sex} + - {column: E, row: 330, expected_value: Employee, label: employment type} + - {column: J, row: 330, expected_value: Value, label: measure} + - {column: L, row: 331, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 332 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 332, expected_value: K02000001, label: geography} + - {column: D, row: 332, expected_value: Males, label: sex} + - {column: E, row: 332, expected_value: Employee, label: employment type} + - {column: J, row: 332, expected_value: Value, label: measure} + - {column: L, row: 333, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 334 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 334, expected_value: K02000001, label: geography} + - {column: D, row: 334, expected_value: Males, label: sex} + - {column: E, row: 334, expected_value: Employee, label: employment type} + - {column: J, row: 334, expected_value: Value, label: measure} + - {column: L, row: 335, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 336 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 336, expected_value: K02000001, label: geography} + - {column: D, row: 336, expected_value: Males, label: sex} + - {column: E, row: 336, expected_value: Employee, label: employment type} + - {column: J, row: 336, expected_value: Value, label: measure} + - {column: L, row: 337, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 338 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 338, expected_value: K02000001, label: geography} + - {column: D, row: 338, expected_value: Males, label: sex} + - {column: E, row: 338, expected_value: Employee, label: employment type} + - {column: J, row: 338, expected_value: Value, label: measure} + - {column: L, row: 339, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 340 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 340, expected_value: K02000001, label: geography} + - {column: D, row: 340, expected_value: Males, label: sex} + - {column: E, row: 340, expected_value: Employee, label: employment type} + - {column: J, row: 340, expected_value: Value, label: measure} + - {column: L, row: 341, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 342 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 342, expected_value: K02000001, label: geography} + - {column: D, row: 342, expected_value: Males, label: sex} + - {column: E, row: 342, expected_value: Employee, label: employment type} + - {column: J, row: 342, expected_value: Value, label: measure} + - {column: L, row: 343, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 344 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 344, expected_value: K02000001, label: geography} + - {column: D, row: 344, expected_value: Males, label: sex} + - {column: E, row: 344, expected_value: Employee, label: employment type} + - {column: J, row: 344, expected_value: Value, label: measure} + - {column: L, row: 345, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 346 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 346, expected_value: K02000001, label: geography} + - {column: D, row: 346, expected_value: Males, label: sex} + - {column: E, row: 346, expected_value: Employee, label: employment type} + - {column: J, row: 346, expected_value: Value, label: measure} + - {column: L, row: 347, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 348 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 348, expected_value: K02000001, label: geography} + - {column: D, row: 348, expected_value: Males, label: sex} + - {column: E, row: 348, expected_value: Employee, label: employment type} + - {column: J, row: 348, expected_value: Value, label: measure} + - {column: L, row: 349, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 350 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 350, expected_value: K02000001, label: geography} + - {column: D, row: 350, expected_value: Males, label: sex} + - {column: E, row: 350, expected_value: Employee, label: employment type} + - {column: J, row: 350, expected_value: Value, label: measure} + - {column: L, row: 351, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 352 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 352, expected_value: K02000001, label: geography} + - {column: D, row: 352, expected_value: Males, label: sex} + - {column: E, row: 352, expected_value: Employee, label: employment type} + - {column: J, row: 352, expected_value: Value, label: measure} + - {column: L, row: 353, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 354 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 354, expected_value: K02000001, label: geography} + - {column: D, row: 354, expected_value: Males, label: sex} + - {column: E, row: 354, expected_value: Employee, label: employment type} + - {column: J, row: 354, expected_value: Value, label: measure} + - {column: L, row: 355, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 356 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 356, expected_value: K02000001, label: geography} + - {column: D, row: 356, expected_value: Males, label: sex} + - {column: E, row: 356, expected_value: Employee, label: employment type} + - {column: J, row: 356, expected_value: Value, label: measure} + - {column: L, row: 357, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 358 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 358, expected_value: K02000001, label: geography} + - {column: D, row: 358, expected_value: Males, label: sex} + - {column: E, row: 358, expected_value: Employee, label: employment type} + - {column: J, row: 358, expected_value: Value, label: measure} + - {column: L, row: 359, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 360 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 360, expected_value: K02000001, label: geography} + - {column: D, row: 360, expected_value: Males, label: sex} + - {column: E, row: 360, expected_value: Employee, label: employment type} + - {column: J, row: 360, expected_value: Value, label: measure} + - {column: L, row: 361, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 291 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 291, expected_value: K02000001, label: geography} + - {column: D, row: 291, expected_value: Males, label: sex} + - {column: E, row: 291, expected_value: Employee, label: employment type} + - {column: J, row: 291, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 293 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 293, expected_value: K02000001, label: geography} + - {column: D, row: 293, expected_value: Males, label: sex} + - {column: E, row: 293, expected_value: Employee, label: employment type} + - {column: J, row: 293, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 295 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 295, expected_value: K02000001, label: geography} + - {column: D, row: 295, expected_value: Males, label: sex} + - {column: E, row: 295, expected_value: Employee, label: employment type} + - {column: J, row: 295, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 297 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 297, expected_value: K02000001, label: geography} + - {column: D, row: 297, expected_value: Males, label: sex} + - {column: E, row: 297, expected_value: Employee, label: employment type} + - {column: J, row: 297, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 299 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 299, expected_value: K02000001, label: geography} + - {column: D, row: 299, expected_value: Males, label: sex} + - {column: E, row: 299, expected_value: Employee, label: employment type} + - {column: J, row: 299, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 301 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 301, expected_value: K02000001, label: geography} + - {column: D, row: 301, expected_value: Males, label: sex} + - {column: E, row: 301, expected_value: Employee, label: employment type} + - {column: J, row: 301, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 303 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 303, expected_value: K02000001, label: geography} + - {column: D, row: 303, expected_value: Males, label: sex} + - {column: E, row: 303, expected_value: Employee, label: employment type} + - {column: J, row: 303, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 305 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 305, expected_value: K02000001, label: geography} + - {column: D, row: 305, expected_value: Males, label: sex} + - {column: E, row: 305, expected_value: Employee, label: employment type} + - {column: J, row: 305, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 307 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 307, expected_value: K02000001, label: geography} + - {column: D, row: 307, expected_value: Males, label: sex} + - {column: E, row: 307, expected_value: Employee, label: employment type} + - {column: J, row: 307, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 309 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 309, expected_value: K02000001, label: geography} + - {column: D, row: 309, expected_value: Males, label: sex} + - {column: E, row: 309, expected_value: Employee, label: employment type} + - {column: J, row: 309, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 311 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 311, expected_value: K02000001, label: geography} + - {column: D, row: 311, expected_value: Males, label: sex} + - {column: E, row: 311, expected_value: Employee, label: employment type} + - {column: J, row: 311, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 313 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 313, expected_value: K02000001, label: geography} + - {column: D, row: 313, expected_value: Males, label: sex} + - {column: E, row: 313, expected_value: Employee, label: employment type} + - {column: J, row: 313, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 315 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 315, expected_value: K02000001, label: geography} + - {column: D, row: 315, expected_value: Males, label: sex} + - {column: E, row: 315, expected_value: Employee, label: employment type} + - {column: J, row: 315, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 317 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 317, expected_value: K02000001, label: geography} + - {column: D, row: 317, expected_value: Males, label: sex} + - {column: E, row: 317, expected_value: Employee, label: employment type} + - {column: J, row: 317, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 319 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 319, expected_value: K02000001, label: geography} + - {column: D, row: 319, expected_value: Males, label: sex} + - {column: E, row: 319, expected_value: Employee, label: employment type} + - {column: J, row: 319, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 321 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 321, expected_value: K02000001, label: geography} + - {column: D, row: 321, expected_value: Males, label: sex} + - {column: E, row: 321, expected_value: Employee, label: employment type} + - {column: J, row: 321, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 323 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 323, expected_value: K02000001, label: geography} + - {column: D, row: 323, expected_value: Males, label: sex} + - {column: E, row: 323, expected_value: Employee, label: employment type} + - {column: J, row: 323, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 325 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 325, expected_value: K02000001, label: geography} + - {column: D, row: 325, expected_value: Males, label: sex} + - {column: E, row: 325, expected_value: Employee, label: employment type} + - {column: J, row: 325, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 327 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 327, expected_value: K02000001, label: geography} + - {column: D, row: 327, expected_value: Males, label: sex} + - {column: E, row: 327, expected_value: Employee, label: employment type} + - {column: J, row: 327, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 329 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 329, expected_value: K02000001, label: geography} + - {column: D, row: 329, expected_value: Males, label: sex} + - {column: E, row: 329, expected_value: Employee, label: employment type} + - {column: J, row: 329, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 331 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 331, expected_value: K02000001, label: geography} + - {column: D, row: 331, expected_value: Males, label: sex} + - {column: E, row: 331, expected_value: Employee, label: employment type} + - {column: J, row: 331, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 333 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 333, expected_value: K02000001, label: geography} + - {column: D, row: 333, expected_value: Males, label: sex} + - {column: E, row: 333, expected_value: Employee, label: employment type} + - {column: J, row: 333, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 335 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 335, expected_value: K02000001, label: geography} + - {column: D, row: 335, expected_value: Males, label: sex} + - {column: E, row: 335, expected_value: Employee, label: employment type} + - {column: J, row: 335, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 337 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 337, expected_value: K02000001, label: geography} + - {column: D, row: 337, expected_value: Males, label: sex} + - {column: E, row: 337, expected_value: Employee, label: employment type} + - {column: J, row: 337, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 339 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 339, expected_value: K02000001, label: geography} + - {column: D, row: 339, expected_value: Males, label: sex} + - {column: E, row: 339, expected_value: Employee, label: employment type} + - {column: J, row: 339, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 341 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 341, expected_value: K02000001, label: geography} + - {column: D, row: 341, expected_value: Males, label: sex} + - {column: E, row: 341, expected_value: Employee, label: employment type} + - {column: J, row: 341, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 343 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 343, expected_value: K02000001, label: geography} + - {column: D, row: 343, expected_value: Males, label: sex} + - {column: E, row: 343, expected_value: Employee, label: employment type} + - {column: J, row: 343, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 345 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 345, expected_value: K02000001, label: geography} + - {column: D, row: 345, expected_value: Males, label: sex} + - {column: E, row: 345, expected_value: Employee, label: employment type} + - {column: J, row: 345, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 347 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 347, expected_value: K02000001, label: geography} + - {column: D, row: 347, expected_value: Males, label: sex} + - {column: E, row: 347, expected_value: Employee, label: employment type} + - {column: J, row: 347, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 349 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 349, expected_value: K02000001, label: geography} + - {column: D, row: 349, expected_value: Males, label: sex} + - {column: E, row: 349, expected_value: Employee, label: employment type} + - {column: J, row: 349, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 351 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 351, expected_value: K02000001, label: geography} + - {column: D, row: 351, expected_value: Males, label: sex} + - {column: E, row: 351, expected_value: Employee, label: employment type} + - {column: J, row: 351, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 353 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 353, expected_value: K02000001, label: geography} + - {column: D, row: 353, expected_value: Males, label: sex} + - {column: E, row: 353, expected_value: Employee, label: employment type} + - {column: J, row: 353, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 355 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 355, expected_value: K02000001, label: geography} + - {column: D, row: 355, expected_value: Males, label: sex} + - {column: E, row: 355, expected_value: Employee, label: employment type} + - {column: J, row: 355, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 357 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 357, expected_value: K02000001, label: geography} + - {column: D, row: 357, expected_value: Males, label: sex} + - {column: E, row: 357, expected_value: Employee, label: employment type} + - {column: J, row: 357, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 359 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 359, expected_value: K02000001, label: geography} + - {column: D, row: 359, expected_value: Males, label: sex} + - {column: E, row: 359, expected_value: Employee, label: employment type} + - {column: J, row: 359, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 361 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 361, expected_value: K02000001, label: geography} + - {column: D, row: 361, expected_value: Males, label: sex} + - {column: E, row: 361, expected_value: Employee, label: employment type} + - {column: J, row: 361, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 506 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 506, expected_value: K02000001, label: geography} + - {column: D, row: 506, expected_value: Males, label: sex} + - {column: E, row: 506, expected_value: Self-employed, label: employment type} + - {column: J, row: 506, expected_value: Value, label: measure} + - {column: L, row: 507, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 508 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 508, expected_value: K02000001, label: geography} + - {column: D, row: 508, expected_value: Males, label: sex} + - {column: E, row: 508, expected_value: Self-employed, label: employment type} + - {column: J, row: 508, expected_value: Value, label: measure} + - {column: L, row: 509, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 510 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 510, expected_value: K02000001, label: geography} + - {column: D, row: 510, expected_value: Males, label: sex} + - {column: E, row: 510, expected_value: Self-employed, label: employment type} + - {column: J, row: 510, expected_value: Value, label: measure} + - {column: L, row: 511, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 512 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 512, expected_value: K02000001, label: geography} + - {column: D, row: 512, expected_value: Males, label: sex} + - {column: E, row: 512, expected_value: Self-employed, label: employment type} + - {column: J, row: 512, expected_value: Value, label: measure} + - {column: L, row: 513, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 514 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 514, expected_value: K02000001, label: geography} + - {column: D, row: 514, expected_value: Males, label: sex} + - {column: E, row: 514, expected_value: Self-employed, label: employment type} + - {column: J, row: 514, expected_value: Value, label: measure} + - {column: L, row: 515, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 516 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 516, expected_value: K02000001, label: geography} + - {column: D, row: 516, expected_value: Males, label: sex} + - {column: E, row: 516, expected_value: Self-employed, label: employment type} + - {column: J, row: 516, expected_value: Value, label: measure} + - {column: L, row: 517, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 518 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 518, expected_value: K02000001, label: geography} + - {column: D, row: 518, expected_value: Males, label: sex} + - {column: E, row: 518, expected_value: Self-employed, label: employment type} + - {column: J, row: 518, expected_value: Value, label: measure} + - {column: L, row: 519, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 520 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 520, expected_value: K02000001, label: geography} + - {column: D, row: 520, expected_value: Males, label: sex} + - {column: E, row: 520, expected_value: Self-employed, label: employment type} + - {column: J, row: 520, expected_value: Value, label: measure} + - {column: L, row: 521, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 522 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 522, expected_value: K02000001, label: geography} + - {column: D, row: 522, expected_value: Males, label: sex} + - {column: E, row: 522, expected_value: Self-employed, label: employment type} + - {column: J, row: 522, expected_value: Value, label: measure} + - {column: L, row: 523, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 524 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 524, expected_value: K02000001, label: geography} + - {column: D, row: 524, expected_value: Males, label: sex} + - {column: E, row: 524, expected_value: Self-employed, label: employment type} + - {column: J, row: 524, expected_value: Value, label: measure} + - {column: L, row: 525, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 526 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 526, expected_value: K02000001, label: geography} + - {column: D, row: 526, expected_value: Males, label: sex} + - {column: E, row: 526, expected_value: Self-employed, label: employment type} + - {column: J, row: 526, expected_value: Value, label: measure} + - {column: L, row: 527, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 528 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 528, expected_value: K02000001, label: geography} + - {column: D, row: 528, expected_value: Males, label: sex} + - {column: E, row: 528, expected_value: Self-employed, label: employment type} + - {column: J, row: 528, expected_value: Value, label: measure} + - {column: L, row: 529, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 530 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 530, expected_value: K02000001, label: geography} + - {column: D, row: 530, expected_value: Males, label: sex} + - {column: E, row: 530, expected_value: Self-employed, label: employment type} + - {column: J, row: 530, expected_value: Value, label: measure} + - {column: L, row: 531, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 532 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 532, expected_value: K02000001, label: geography} + - {column: D, row: 532, expected_value: Males, label: sex} + - {column: E, row: 532, expected_value: Self-employed, label: employment type} + - {column: J, row: 532, expected_value: Value, label: measure} + - {column: L, row: 533, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 534 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 534, expected_value: K02000001, label: geography} + - {column: D, row: 534, expected_value: Males, label: sex} + - {column: E, row: 534, expected_value: Self-employed, label: employment type} + - {column: J, row: 534, expected_value: Value, label: measure} + - {column: L, row: 535, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 536 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 536, expected_value: K02000001, label: geography} + - {column: D, row: 536, expected_value: Males, label: sex} + - {column: E, row: 536, expected_value: Self-employed, label: employment type} + - {column: J, row: 536, expected_value: Value, label: measure} + - {column: L, row: 537, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 538 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 538, expected_value: K02000001, label: geography} + - {column: D, row: 538, expected_value: Males, label: sex} + - {column: E, row: 538, expected_value: Self-employed, label: employment type} + - {column: J, row: 538, expected_value: Value, label: measure} + - {column: L, row: 539, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 542 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 542, expected_value: K02000001, label: geography} + - {column: D, row: 542, expected_value: Males, label: sex} + - {column: E, row: 542, expected_value: Self-employed, label: employment type} + - {column: J, row: 542, expected_value: Value, label: measure} + - {column: L, row: 543, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 544 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 544, expected_value: K02000001, label: geography} + - {column: D, row: 544, expected_value: Males, label: sex} + - {column: E, row: 544, expected_value: Self-employed, label: employment type} + - {column: J, row: 544, expected_value: Value, label: measure} + - {column: L, row: 545, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 546 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 546, expected_value: K02000001, label: geography} + - {column: D, row: 546, expected_value: Males, label: sex} + - {column: E, row: 546, expected_value: Self-employed, label: employment type} + - {column: J, row: 546, expected_value: Value, label: measure} + - {column: L, row: 547, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 548 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 548, expected_value: K02000001, label: geography} + - {column: D, row: 548, expected_value: Males, label: sex} + - {column: E, row: 548, expected_value: Self-employed, label: employment type} + - {column: J, row: 548, expected_value: Value, label: measure} + - {column: L, row: 549, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 550 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 550, expected_value: K02000001, label: geography} + - {column: D, row: 550, expected_value: Males, label: sex} + - {column: E, row: 550, expected_value: Self-employed, label: employment type} + - {column: J, row: 550, expected_value: Value, label: measure} + - {column: L, row: 551, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 552 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 552, expected_value: K02000001, label: geography} + - {column: D, row: 552, expected_value: Males, label: sex} + - {column: E, row: 552, expected_value: Self-employed, label: employment type} + - {column: J, row: 552, expected_value: Value, label: measure} + - {column: L, row: 553, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 554 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 554, expected_value: K02000001, label: geography} + - {column: D, row: 554, expected_value: Males, label: sex} + - {column: E, row: 554, expected_value: Self-employed, label: employment type} + - {column: J, row: 554, expected_value: Value, label: measure} + - {column: L, row: 555, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 556 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 556, expected_value: K02000001, label: geography} + - {column: D, row: 556, expected_value: Males, label: sex} + - {column: E, row: 556, expected_value: Self-employed, label: employment type} + - {column: J, row: 556, expected_value: Value, label: measure} + - {column: L, row: 557, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 560 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 560, expected_value: K02000001, label: geography} + - {column: D, row: 560, expected_value: Males, label: sex} + - {column: E, row: 560, expected_value: Self-employed, label: employment type} + - {column: J, row: 560, expected_value: Value, label: measure} + - {column: L, row: 561, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 562 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 562, expected_value: K02000001, label: geography} + - {column: D, row: 562, expected_value: Males, label: sex} + - {column: E, row: 562, expected_value: Self-employed, label: employment type} + - {column: J, row: 562, expected_value: Value, label: measure} + - {column: L, row: 563, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 564 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 564, expected_value: K02000001, label: geography} + - {column: D, row: 564, expected_value: Males, label: sex} + - {column: E, row: 564, expected_value: Self-employed, label: employment type} + - {column: J, row: 564, expected_value: Value, label: measure} + - {column: L, row: 565, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 566 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 566, expected_value: K02000001, label: geography} + - {column: D, row: 566, expected_value: Males, label: sex} + - {column: E, row: 566, expected_value: Self-employed, label: employment type} + - {column: J, row: 566, expected_value: Value, label: measure} + - {column: L, row: 567, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 568 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 568, expected_value: K02000001, label: geography} + - {column: D, row: 568, expected_value: Males, label: sex} + - {column: E, row: 568, expected_value: Self-employed, label: employment type} + - {column: J, row: 568, expected_value: Value, label: measure} + - {column: L, row: 569, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 570 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 570, expected_value: K02000001, label: geography} + - {column: D, row: 570, expected_value: Males, label: sex} + - {column: E, row: 570, expected_value: Self-employed, label: employment type} + - {column: J, row: 570, expected_value: Value, label: measure} + - {column: L, row: 571, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 572 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 572, expected_value: K02000001, label: geography} + - {column: D, row: 572, expected_value: Males, label: sex} + - {column: E, row: 572, expected_value: Self-employed, label: employment type} + - {column: J, row: 572, expected_value: Value, label: measure} + - {column: L, row: 573, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 574 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 574, expected_value: K02000001, label: geography} + - {column: D, row: 574, expected_value: Males, label: sex} + - {column: E, row: 574, expected_value: Self-employed, label: employment type} + - {column: J, row: 574, expected_value: Value, label: measure} + - {column: L, row: 575, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 576 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 576, expected_value: K02000001, label: geography} + - {column: D, row: 576, expected_value: Males, label: sex} + - {column: E, row: 576, expected_value: Self-employed, label: employment type} + - {column: J, row: 576, expected_value: Value, label: measure} + - {column: L, row: 577, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 507 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 507, expected_value: K02000001, label: geography} + - {column: D, row: 507, expected_value: Males, label: sex} + - {column: E, row: 507, expected_value: Self-employed, label: employment type} + - {column: J, row: 507, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 509 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 509, expected_value: K02000001, label: geography} + - {column: D, row: 509, expected_value: Males, label: sex} + - {column: E, row: 509, expected_value: Self-employed, label: employment type} + - {column: J, row: 509, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 511 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 511, expected_value: K02000001, label: geography} + - {column: D, row: 511, expected_value: Males, label: sex} + - {column: E, row: 511, expected_value: Self-employed, label: employment type} + - {column: J, row: 511, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 513 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 513, expected_value: K02000001, label: geography} + - {column: D, row: 513, expected_value: Males, label: sex} + - {column: E, row: 513, expected_value: Self-employed, label: employment type} + - {column: J, row: 513, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 515 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 515, expected_value: K02000001, label: geography} + - {column: D, row: 515, expected_value: Males, label: sex} + - {column: E, row: 515, expected_value: Self-employed, label: employment type} + - {column: J, row: 515, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 517 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 517, expected_value: K02000001, label: geography} + - {column: D, row: 517, expected_value: Males, label: sex} + - {column: E, row: 517, expected_value: Self-employed, label: employment type} + - {column: J, row: 517, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 519 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 519, expected_value: K02000001, label: geography} + - {column: D, row: 519, expected_value: Males, label: sex} + - {column: E, row: 519, expected_value: Self-employed, label: employment type} + - {column: J, row: 519, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 521 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 521, expected_value: K02000001, label: geography} + - {column: D, row: 521, expected_value: Males, label: sex} + - {column: E, row: 521, expected_value: Self-employed, label: employment type} + - {column: J, row: 521, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 523 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 523, expected_value: K02000001, label: geography} + - {column: D, row: 523, expected_value: Males, label: sex} + - {column: E, row: 523, expected_value: Self-employed, label: employment type} + - {column: J, row: 523, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 525 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 525, expected_value: K02000001, label: geography} + - {column: D, row: 525, expected_value: Males, label: sex} + - {column: E, row: 525, expected_value: Self-employed, label: employment type} + - {column: J, row: 525, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 527 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 527, expected_value: K02000001, label: geography} + - {column: D, row: 527, expected_value: Males, label: sex} + - {column: E, row: 527, expected_value: Self-employed, label: employment type} + - {column: J, row: 527, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 529 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 529, expected_value: K02000001, label: geography} + - {column: D, row: 529, expected_value: Males, label: sex} + - {column: E, row: 529, expected_value: Self-employed, label: employment type} + - {column: J, row: 529, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 531 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 531, expected_value: K02000001, label: geography} + - {column: D, row: 531, expected_value: Males, label: sex} + - {column: E, row: 531, expected_value: Self-employed, label: employment type} + - {column: J, row: 531, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 533 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 533, expected_value: K02000001, label: geography} + - {column: D, row: 533, expected_value: Males, label: sex} + - {column: E, row: 533, expected_value: Self-employed, label: employment type} + - {column: J, row: 533, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 535 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 535, expected_value: K02000001, label: geography} + - {column: D, row: 535, expected_value: Males, label: sex} + - {column: E, row: 535, expected_value: Self-employed, label: employment type} + - {column: J, row: 535, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 537 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 537, expected_value: K02000001, label: geography} + - {column: D, row: 537, expected_value: Males, label: sex} + - {column: E, row: 537, expected_value: Self-employed, label: employment type} + - {column: J, row: 537, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 539 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 539, expected_value: K02000001, label: geography} + - {column: D, row: 539, expected_value: Males, label: sex} + - {column: E, row: 539, expected_value: Self-employed, label: employment type} + - {column: J, row: 539, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 543 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 543, expected_value: K02000001, label: geography} + - {column: D, row: 543, expected_value: Males, label: sex} + - {column: E, row: 543, expected_value: Self-employed, label: employment type} + - {column: J, row: 543, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 545 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 545, expected_value: K02000001, label: geography} + - {column: D, row: 545, expected_value: Males, label: sex} + - {column: E, row: 545, expected_value: Self-employed, label: employment type} + - {column: J, row: 545, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 547 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 547, expected_value: K02000001, label: geography} + - {column: D, row: 547, expected_value: Males, label: sex} + - {column: E, row: 547, expected_value: Self-employed, label: employment type} + - {column: J, row: 547, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 549 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 549, expected_value: K02000001, label: geography} + - {column: D, row: 549, expected_value: Males, label: sex} + - {column: E, row: 549, expected_value: Self-employed, label: employment type} + - {column: J, row: 549, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 551 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 551, expected_value: K02000001, label: geography} + - {column: D, row: 551, expected_value: Males, label: sex} + - {column: E, row: 551, expected_value: Self-employed, label: employment type} + - {column: J, row: 551, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 553 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 553, expected_value: K02000001, label: geography} + - {column: D, row: 553, expected_value: Males, label: sex} + - {column: E, row: 553, expected_value: Self-employed, label: employment type} + - {column: J, row: 553, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 555 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 555, expected_value: K02000001, label: geography} + - {column: D, row: 555, expected_value: Males, label: sex} + - {column: E, row: 555, expected_value: Self-employed, label: employment type} + - {column: J, row: 555, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 557 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 557, expected_value: K02000001, label: geography} + - {column: D, row: 557, expected_value: Males, label: sex} + - {column: E, row: 557, expected_value: Self-employed, label: employment type} + - {column: J, row: 557, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 561 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 561, expected_value: K02000001, label: geography} + - {column: D, row: 561, expected_value: Males, label: sex} + - {column: E, row: 561, expected_value: Self-employed, label: employment type} + - {column: J, row: 561, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 563 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 563, expected_value: K02000001, label: geography} + - {column: D, row: 563, expected_value: Males, label: sex} + - {column: E, row: 563, expected_value: Self-employed, label: employment type} + - {column: J, row: 563, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 567 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 567, expected_value: K02000001, label: geography} + - {column: D, row: 567, expected_value: Males, label: sex} + - {column: E, row: 567, expected_value: Self-employed, label: employment type} + - {column: J, row: 567, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 569 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 569, expected_value: K02000001, label: geography} + - {column: D, row: 569, expected_value: Males, label: sex} + - {column: E, row: 569, expected_value: Self-employed, label: employment type} + - {column: J, row: 569, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 571 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 571, expected_value: K02000001, label: geography} + - {column: D, row: 571, expected_value: Males, label: sex} + - {column: E, row: 571, expected_value: Self-employed, label: employment type} + - {column: J, row: 571, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 573 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 573, expected_value: K02000001, label: geography} + - {column: D, row: 573, expected_value: Males, label: sex} + - {column: E, row: 573, expected_value: Self-employed, label: employment type} + - {column: J, row: 573, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 575 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 575, expected_value: K02000001, label: geography} + - {column: D, row: 575, expected_value: Males, label: sex} + - {column: E, row: 575, expected_value: Self-employed, label: employment type} + - {column: J, row: 575, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 577 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 577, expected_value: K02000001, label: geography} + - {column: D, row: 577, expected_value: Males, label: sex} + - {column: E, row: 577, expected_value: Self-employed, label: employment type} + - {column: J, row: 577, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 146 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 146, expected_value: K02000001, label: geography} + - {column: D, row: 146, expected_value: Females, label: sex} + - {column: E, row: 146, expected_value: Total, label: employment type} + - {column: J, row: 146, expected_value: Value, label: measure} + - {column: L, row: 147, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 148 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 148, expected_value: K02000001, label: geography} + - {column: D, row: 148, expected_value: Females, label: sex} + - {column: E, row: 148, expected_value: Total, label: employment type} + - {column: J, row: 148, expected_value: Value, label: measure} + - {column: L, row: 149, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 150 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 150, expected_value: K02000001, label: geography} + - {column: D, row: 150, expected_value: Females, label: sex} + - {column: E, row: 150, expected_value: Total, label: employment type} + - {column: J, row: 150, expected_value: Value, label: measure} + - {column: L, row: 151, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 152 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 152, expected_value: K02000001, label: geography} + - {column: D, row: 152, expected_value: Females, label: sex} + - {column: E, row: 152, expected_value: Total, label: employment type} + - {column: J, row: 152, expected_value: Value, label: measure} + - {column: L, row: 153, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 154 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 154, expected_value: K02000001, label: geography} + - {column: D, row: 154, expected_value: Females, label: sex} + - {column: E, row: 154, expected_value: Total, label: employment type} + - {column: J, row: 154, expected_value: Value, label: measure} + - {column: L, row: 155, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 156 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 156, expected_value: K02000001, label: geography} + - {column: D, row: 156, expected_value: Females, label: sex} + - {column: E, row: 156, expected_value: Total, label: employment type} + - {column: J, row: 156, expected_value: Value, label: measure} + - {column: L, row: 157, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 158 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 158, expected_value: K02000001, label: geography} + - {column: D, row: 158, expected_value: Females, label: sex} + - {column: E, row: 158, expected_value: Total, label: employment type} + - {column: J, row: 158, expected_value: Value, label: measure} + - {column: L, row: 159, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 160 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 160, expected_value: K02000001, label: geography} + - {column: D, row: 160, expected_value: Females, label: sex} + - {column: E, row: 160, expected_value: Total, label: employment type} + - {column: J, row: 160, expected_value: Value, label: measure} + - {column: L, row: 161, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 162 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 162, expected_value: K02000001, label: geography} + - {column: D, row: 162, expected_value: Females, label: sex} + - {column: E, row: 162, expected_value: Total, label: employment type} + - {column: J, row: 162, expected_value: Value, label: measure} + - {column: L, row: 163, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 164 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 164, expected_value: K02000001, label: geography} + - {column: D, row: 164, expected_value: Females, label: sex} + - {column: E, row: 164, expected_value: Total, label: employment type} + - {column: J, row: 164, expected_value: Value, label: measure} + - {column: L, row: 165, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 166 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 166, expected_value: K02000001, label: geography} + - {column: D, row: 166, expected_value: Females, label: sex} + - {column: E, row: 166, expected_value: Total, label: employment type} + - {column: J, row: 166, expected_value: Value, label: measure} + - {column: L, row: 167, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 168 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 168, expected_value: K02000001, label: geography} + - {column: D, row: 168, expected_value: Females, label: sex} + - {column: E, row: 168, expected_value: Total, label: employment type} + - {column: J, row: 168, expected_value: Value, label: measure} + - {column: L, row: 169, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 170 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 170, expected_value: K02000001, label: geography} + - {column: D, row: 170, expected_value: Females, label: sex} + - {column: E, row: 170, expected_value: Total, label: employment type} + - {column: J, row: 170, expected_value: Value, label: measure} + - {column: L, row: 171, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 172 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 172, expected_value: K02000001, label: geography} + - {column: D, row: 172, expected_value: Females, label: sex} + - {column: E, row: 172, expected_value: Total, label: employment type} + - {column: J, row: 172, expected_value: Value, label: measure} + - {column: L, row: 173, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 174 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 174, expected_value: K02000001, label: geography} + - {column: D, row: 174, expected_value: Females, label: sex} + - {column: E, row: 174, expected_value: Total, label: employment type} + - {column: J, row: 174, expected_value: Value, label: measure} + - {column: L, row: 175, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 176 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 176, expected_value: K02000001, label: geography} + - {column: D, row: 176, expected_value: Females, label: sex} + - {column: E, row: 176, expected_value: Total, label: employment type} + - {column: J, row: 176, expected_value: Value, label: measure} + - {column: L, row: 177, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 178 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 178, expected_value: K02000001, label: geography} + - {column: D, row: 178, expected_value: Females, label: sex} + - {column: E, row: 178, expected_value: Total, label: employment type} + - {column: J, row: 178, expected_value: Value, label: measure} + - {column: L, row: 179, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 180 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 180, expected_value: K02000001, label: geography} + - {column: D, row: 180, expected_value: Females, label: sex} + - {column: E, row: 180, expected_value: Total, label: employment type} + - {column: J, row: 180, expected_value: Value, label: measure} + - {column: L, row: 181, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 182 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 182, expected_value: K02000001, label: geography} + - {column: D, row: 182, expected_value: Females, label: sex} + - {column: E, row: 182, expected_value: Total, label: employment type} + - {column: J, row: 182, expected_value: Value, label: measure} + - {column: L, row: 183, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 184 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 184, expected_value: K02000001, label: geography} + - {column: D, row: 184, expected_value: Females, label: sex} + - {column: E, row: 184, expected_value: Total, label: employment type} + - {column: J, row: 184, expected_value: Value, label: measure} + - {column: L, row: 185, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 186 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 186, expected_value: K02000001, label: geography} + - {column: D, row: 186, expected_value: Females, label: sex} + - {column: E, row: 186, expected_value: Total, label: employment type} + - {column: J, row: 186, expected_value: Value, label: measure} + - {column: L, row: 187, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 188 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 188, expected_value: K02000001, label: geography} + - {column: D, row: 188, expected_value: Females, label: sex} + - {column: E, row: 188, expected_value: Total, label: employment type} + - {column: J, row: 188, expected_value: Value, label: measure} + - {column: L, row: 189, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 190 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 190, expected_value: K02000001, label: geography} + - {column: D, row: 190, expected_value: Females, label: sex} + - {column: E, row: 190, expected_value: Total, label: employment type} + - {column: J, row: 190, expected_value: Value, label: measure} + - {column: L, row: 191, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 192 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 192, expected_value: K02000001, label: geography} + - {column: D, row: 192, expected_value: Females, label: sex} + - {column: E, row: 192, expected_value: Total, label: employment type} + - {column: J, row: 192, expected_value: Value, label: measure} + - {column: L, row: 193, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 194 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 194, expected_value: K02000001, label: geography} + - {column: D, row: 194, expected_value: Females, label: sex} + - {column: E, row: 194, expected_value: Total, label: employment type} + - {column: J, row: 194, expected_value: Value, label: measure} + - {column: L, row: 195, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 196 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 196, expected_value: K02000001, label: geography} + - {column: D, row: 196, expected_value: Females, label: sex} + - {column: E, row: 196, expected_value: Total, label: employment type} + - {column: J, row: 196, expected_value: Value, label: measure} + - {column: L, row: 197, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 198 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 198, expected_value: K02000001, label: geography} + - {column: D, row: 198, expected_value: Females, label: sex} + - {column: E, row: 198, expected_value: Total, label: employment type} + - {column: J, row: 198, expected_value: Value, label: measure} + - {column: L, row: 199, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 200 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 200, expected_value: K02000001, label: geography} + - {column: D, row: 200, expected_value: Females, label: sex} + - {column: E, row: 200, expected_value: Total, label: employment type} + - {column: J, row: 200, expected_value: Value, label: measure} + - {column: L, row: 201, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 202 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 202, expected_value: K02000001, label: geography} + - {column: D, row: 202, expected_value: Females, label: sex} + - {column: E, row: 202, expected_value: Total, label: employment type} + - {column: J, row: 202, expected_value: Value, label: measure} + - {column: L, row: 203, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 204 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 204, expected_value: K02000001, label: geography} + - {column: D, row: 204, expected_value: Females, label: sex} + - {column: E, row: 204, expected_value: Total, label: employment type} + - {column: J, row: 204, expected_value: Value, label: measure} + - {column: L, row: 205, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 206 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 206, expected_value: K02000001, label: geography} + - {column: D, row: 206, expected_value: Females, label: sex} + - {column: E, row: 206, expected_value: Total, label: employment type} + - {column: J, row: 206, expected_value: Value, label: measure} + - {column: L, row: 207, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 208 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 208, expected_value: K02000001, label: geography} + - {column: D, row: 208, expected_value: Females, label: sex} + - {column: E, row: 208, expected_value: Total, label: employment type} + - {column: J, row: 208, expected_value: Value, label: measure} + - {column: L, row: 209, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 210 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 210, expected_value: K02000001, label: geography} + - {column: D, row: 210, expected_value: Females, label: sex} + - {column: E, row: 210, expected_value: Total, label: employment type} + - {column: J, row: 210, expected_value: Value, label: measure} + - {column: L, row: 211, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 212 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 212, expected_value: K02000001, label: geography} + - {column: D, row: 212, expected_value: Females, label: sex} + - {column: E, row: 212, expected_value: Total, label: employment type} + - {column: J, row: 212, expected_value: Value, label: measure} + - {column: L, row: 213, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 214 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 214, expected_value: K02000001, label: geography} + - {column: D, row: 214, expected_value: Females, label: sex} + - {column: E, row: 214, expected_value: Total, label: employment type} + - {column: J, row: 214, expected_value: Value, label: measure} + - {column: L, row: 215, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 216 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 216, expected_value: K02000001, label: geography} + - {column: D, row: 216, expected_value: Females, label: sex} + - {column: E, row: 216, expected_value: Total, label: employment type} + - {column: J, row: 216, expected_value: Value, label: measure} + - {column: L, row: 217, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 147 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 147, expected_value: K02000001, label: geography} + - {column: D, row: 147, expected_value: Females, label: sex} + - {column: E, row: 147, expected_value: Total, label: employment type} + - {column: J, row: 147, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 149 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 149, expected_value: K02000001, label: geography} + - {column: D, row: 149, expected_value: Females, label: sex} + - {column: E, row: 149, expected_value: Total, label: employment type} + - {column: J, row: 149, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 151 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 151, expected_value: K02000001, label: geography} + - {column: D, row: 151, expected_value: Females, label: sex} + - {column: E, row: 151, expected_value: Total, label: employment type} + - {column: J, row: 151, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 153 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 153, expected_value: K02000001, label: geography} + - {column: D, row: 153, expected_value: Females, label: sex} + - {column: E, row: 153, expected_value: Total, label: employment type} + - {column: J, row: 153, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 155 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 155, expected_value: K02000001, label: geography} + - {column: D, row: 155, expected_value: Females, label: sex} + - {column: E, row: 155, expected_value: Total, label: employment type} + - {column: J, row: 155, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 157 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 157, expected_value: K02000001, label: geography} + - {column: D, row: 157, expected_value: Females, label: sex} + - {column: E, row: 157, expected_value: Total, label: employment type} + - {column: J, row: 157, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 159 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 159, expected_value: K02000001, label: geography} + - {column: D, row: 159, expected_value: Females, label: sex} + - {column: E, row: 159, expected_value: Total, label: employment type} + - {column: J, row: 159, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 161 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 161, expected_value: K02000001, label: geography} + - {column: D, row: 161, expected_value: Females, label: sex} + - {column: E, row: 161, expected_value: Total, label: employment type} + - {column: J, row: 161, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 163 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 163, expected_value: K02000001, label: geography} + - {column: D, row: 163, expected_value: Females, label: sex} + - {column: E, row: 163, expected_value: Total, label: employment type} + - {column: J, row: 163, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 165 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 165, expected_value: K02000001, label: geography} + - {column: D, row: 165, expected_value: Females, label: sex} + - {column: E, row: 165, expected_value: Total, label: employment type} + - {column: J, row: 165, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 167 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 167, expected_value: K02000001, label: geography} + - {column: D, row: 167, expected_value: Females, label: sex} + - {column: E, row: 167, expected_value: Total, label: employment type} + - {column: J, row: 167, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 169 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 169, expected_value: K02000001, label: geography} + - {column: D, row: 169, expected_value: Females, label: sex} + - {column: E, row: 169, expected_value: Total, label: employment type} + - {column: J, row: 169, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 171 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 171, expected_value: K02000001, label: geography} + - {column: D, row: 171, expected_value: Females, label: sex} + - {column: E, row: 171, expected_value: Total, label: employment type} + - {column: J, row: 171, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 173 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 173, expected_value: K02000001, label: geography} + - {column: D, row: 173, expected_value: Females, label: sex} + - {column: E, row: 173, expected_value: Total, label: employment type} + - {column: J, row: 173, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 175 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 175, expected_value: K02000001, label: geography} + - {column: D, row: 175, expected_value: Females, label: sex} + - {column: E, row: 175, expected_value: Total, label: employment type} + - {column: J, row: 175, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 177 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 177, expected_value: K02000001, label: geography} + - {column: D, row: 177, expected_value: Females, label: sex} + - {column: E, row: 177, expected_value: Total, label: employment type} + - {column: J, row: 177, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 179 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 179, expected_value: K02000001, label: geography} + - {column: D, row: 179, expected_value: Females, label: sex} + - {column: E, row: 179, expected_value: Total, label: employment type} + - {column: J, row: 179, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 181 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 181, expected_value: K02000001, label: geography} + - {column: D, row: 181, expected_value: Females, label: sex} + - {column: E, row: 181, expected_value: Total, label: employment type} + - {column: J, row: 181, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 183 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 183, expected_value: K02000001, label: geography} + - {column: D, row: 183, expected_value: Females, label: sex} + - {column: E, row: 183, expected_value: Total, label: employment type} + - {column: J, row: 183, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 185 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 185, expected_value: K02000001, label: geography} + - {column: D, row: 185, expected_value: Females, label: sex} + - {column: E, row: 185, expected_value: Total, label: employment type} + - {column: J, row: 185, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 187 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 187, expected_value: K02000001, label: geography} + - {column: D, row: 187, expected_value: Females, label: sex} + - {column: E, row: 187, expected_value: Total, label: employment type} + - {column: J, row: 187, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 189 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 189, expected_value: K02000001, label: geography} + - {column: D, row: 189, expected_value: Females, label: sex} + - {column: E, row: 189, expected_value: Total, label: employment type} + - {column: J, row: 189, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 191 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 191, expected_value: K02000001, label: geography} + - {column: D, row: 191, expected_value: Females, label: sex} + - {column: E, row: 191, expected_value: Total, label: employment type} + - {column: J, row: 191, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 193 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 193, expected_value: K02000001, label: geography} + - {column: D, row: 193, expected_value: Females, label: sex} + - {column: E, row: 193, expected_value: Total, label: employment type} + - {column: J, row: 193, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 195 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 195, expected_value: K02000001, label: geography} + - {column: D, row: 195, expected_value: Females, label: sex} + - {column: E, row: 195, expected_value: Total, label: employment type} + - {column: J, row: 195, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 197 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 197, expected_value: K02000001, label: geography} + - {column: D, row: 197, expected_value: Females, label: sex} + - {column: E, row: 197, expected_value: Total, label: employment type} + - {column: J, row: 197, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 199 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 199, expected_value: K02000001, label: geography} + - {column: D, row: 199, expected_value: Females, label: sex} + - {column: E, row: 199, expected_value: Total, label: employment type} + - {column: J, row: 199, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 201 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 201, expected_value: K02000001, label: geography} + - {column: D, row: 201, expected_value: Females, label: sex} + - {column: E, row: 201, expected_value: Total, label: employment type} + - {column: J, row: 201, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 203 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 203, expected_value: K02000001, label: geography} + - {column: D, row: 203, expected_value: Females, label: sex} + - {column: E, row: 203, expected_value: Total, label: employment type} + - {column: J, row: 203, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 205 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 205, expected_value: K02000001, label: geography} + - {column: D, row: 205, expected_value: Females, label: sex} + - {column: E, row: 205, expected_value: Total, label: employment type} + - {column: J, row: 205, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 207 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 207, expected_value: K02000001, label: geography} + - {column: D, row: 207, expected_value: Females, label: sex} + - {column: E, row: 207, expected_value: Total, label: employment type} + - {column: J, row: 207, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 209 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 209, expected_value: K02000001, label: geography} + - {column: D, row: 209, expected_value: Females, label: sex} + - {column: E, row: 209, expected_value: Total, label: employment type} + - {column: J, row: 209, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 211 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 211, expected_value: K02000001, label: geography} + - {column: D, row: 211, expected_value: Females, label: sex} + - {column: E, row: 211, expected_value: Total, label: employment type} + - {column: J, row: 211, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 213 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 213, expected_value: K02000001, label: geography} + - {column: D, row: 213, expected_value: Females, label: sex} + - {column: E, row: 213, expected_value: Total, label: employment type} + - {column: J, row: 213, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 215 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 215, expected_value: K02000001, label: geography} + - {column: D, row: 215, expected_value: Females, label: sex} + - {column: E, row: 215, expected_value: Total, label: employment type} + - {column: J, row: 215, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 217 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 217, expected_value: K02000001, label: geography} + - {column: D, row: 217, expected_value: Females, label: sex} + - {column: E, row: 217, expected_value: Total, label: employment type} + - {column: J, row: 217, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 362 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 362, expected_value: K02000001, label: geography} + - {column: D, row: 362, expected_value: Females, label: sex} + - {column: E, row: 362, expected_value: Employee, label: employment type} + - {column: J, row: 362, expected_value: Value, label: measure} + - {column: L, row: 363, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 364 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 364, expected_value: K02000001, label: geography} + - {column: D, row: 364, expected_value: Females, label: sex} + - {column: E, row: 364, expected_value: Employee, label: employment type} + - {column: J, row: 364, expected_value: Value, label: measure} + - {column: L, row: 365, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 366 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 366, expected_value: K02000001, label: geography} + - {column: D, row: 366, expected_value: Females, label: sex} + - {column: E, row: 366, expected_value: Employee, label: employment type} + - {column: J, row: 366, expected_value: Value, label: measure} + - {column: L, row: 367, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 368 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 368, expected_value: K02000001, label: geography} + - {column: D, row: 368, expected_value: Females, label: sex} + - {column: E, row: 368, expected_value: Employee, label: employment type} + - {column: J, row: 368, expected_value: Value, label: measure} + - {column: L, row: 369, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 370 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 370, expected_value: K02000001, label: geography} + - {column: D, row: 370, expected_value: Females, label: sex} + - {column: E, row: 370, expected_value: Employee, label: employment type} + - {column: J, row: 370, expected_value: Value, label: measure} + - {column: L, row: 371, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 372 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 372, expected_value: K02000001, label: geography} + - {column: D, row: 372, expected_value: Females, label: sex} + - {column: E, row: 372, expected_value: Employee, label: employment type} + - {column: J, row: 372, expected_value: Value, label: measure} + - {column: L, row: 373, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 374 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 374, expected_value: K02000001, label: geography} + - {column: D, row: 374, expected_value: Females, label: sex} + - {column: E, row: 374, expected_value: Employee, label: employment type} + - {column: J, row: 374, expected_value: Value, label: measure} + - {column: L, row: 375, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 376 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 376, expected_value: K02000001, label: geography} + - {column: D, row: 376, expected_value: Females, label: sex} + - {column: E, row: 376, expected_value: Employee, label: employment type} + - {column: J, row: 376, expected_value: Value, label: measure} + - {column: L, row: 377, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 378 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 378, expected_value: K02000001, label: geography} + - {column: D, row: 378, expected_value: Females, label: sex} + - {column: E, row: 378, expected_value: Employee, label: employment type} + - {column: J, row: 378, expected_value: Value, label: measure} + - {column: L, row: 379, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 380 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 380, expected_value: K02000001, label: geography} + - {column: D, row: 380, expected_value: Females, label: sex} + - {column: E, row: 380, expected_value: Employee, label: employment type} + - {column: J, row: 380, expected_value: Value, label: measure} + - {column: L, row: 381, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 382 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 382, expected_value: K02000001, label: geography} + - {column: D, row: 382, expected_value: Females, label: sex} + - {column: E, row: 382, expected_value: Employee, label: employment type} + - {column: J, row: 382, expected_value: Value, label: measure} + - {column: L, row: 383, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 384 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 384, expected_value: K02000001, label: geography} + - {column: D, row: 384, expected_value: Females, label: sex} + - {column: E, row: 384, expected_value: Employee, label: employment type} + - {column: J, row: 384, expected_value: Value, label: measure} + - {column: L, row: 385, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 386 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 386, expected_value: K02000001, label: geography} + - {column: D, row: 386, expected_value: Females, label: sex} + - {column: E, row: 386, expected_value: Employee, label: employment type} + - {column: J, row: 386, expected_value: Value, label: measure} + - {column: L, row: 387, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 388 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 388, expected_value: K02000001, label: geography} + - {column: D, row: 388, expected_value: Females, label: sex} + - {column: E, row: 388, expected_value: Employee, label: employment type} + - {column: J, row: 388, expected_value: Value, label: measure} + - {column: L, row: 389, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 390 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 390, expected_value: K02000001, label: geography} + - {column: D, row: 390, expected_value: Females, label: sex} + - {column: E, row: 390, expected_value: Employee, label: employment type} + - {column: J, row: 390, expected_value: Value, label: measure} + - {column: L, row: 391, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 392 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 392, expected_value: K02000001, label: geography} + - {column: D, row: 392, expected_value: Females, label: sex} + - {column: E, row: 392, expected_value: Employee, label: employment type} + - {column: J, row: 392, expected_value: Value, label: measure} + - {column: L, row: 393, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 394 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 394, expected_value: K02000001, label: geography} + - {column: D, row: 394, expected_value: Females, label: sex} + - {column: E, row: 394, expected_value: Employee, label: employment type} + - {column: J, row: 394, expected_value: Value, label: measure} + - {column: L, row: 395, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 396 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 396, expected_value: K02000001, label: geography} + - {column: D, row: 396, expected_value: Females, label: sex} + - {column: E, row: 396, expected_value: Employee, label: employment type} + - {column: J, row: 396, expected_value: Value, label: measure} + - {column: L, row: 397, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 398 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 398, expected_value: K02000001, label: geography} + - {column: D, row: 398, expected_value: Females, label: sex} + - {column: E, row: 398, expected_value: Employee, label: employment type} + - {column: J, row: 398, expected_value: Value, label: measure} + - {column: L, row: 399, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 400 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 400, expected_value: K02000001, label: geography} + - {column: D, row: 400, expected_value: Females, label: sex} + - {column: E, row: 400, expected_value: Employee, label: employment type} + - {column: J, row: 400, expected_value: Value, label: measure} + - {column: L, row: 401, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 402 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 402, expected_value: K02000001, label: geography} + - {column: D, row: 402, expected_value: Females, label: sex} + - {column: E, row: 402, expected_value: Employee, label: employment type} + - {column: J, row: 402, expected_value: Value, label: measure} + - {column: L, row: 403, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 404 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 404, expected_value: K02000001, label: geography} + - {column: D, row: 404, expected_value: Females, label: sex} + - {column: E, row: 404, expected_value: Employee, label: employment type} + - {column: J, row: 404, expected_value: Value, label: measure} + - {column: L, row: 405, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 406 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 406, expected_value: K02000001, label: geography} + - {column: D, row: 406, expected_value: Females, label: sex} + - {column: E, row: 406, expected_value: Employee, label: employment type} + - {column: J, row: 406, expected_value: Value, label: measure} + - {column: L, row: 407, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 408 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 408, expected_value: K02000001, label: geography} + - {column: D, row: 408, expected_value: Females, label: sex} + - {column: E, row: 408, expected_value: Employee, label: employment type} + - {column: J, row: 408, expected_value: Value, label: measure} + - {column: L, row: 409, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 410 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 410, expected_value: K02000001, label: geography} + - {column: D, row: 410, expected_value: Females, label: sex} + - {column: E, row: 410, expected_value: Employee, label: employment type} + - {column: J, row: 410, expected_value: Value, label: measure} + - {column: L, row: 411, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 412 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 412, expected_value: K02000001, label: geography} + - {column: D, row: 412, expected_value: Females, label: sex} + - {column: E, row: 412, expected_value: Employee, label: employment type} + - {column: J, row: 412, expected_value: Value, label: measure} + - {column: L, row: 413, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 414 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 414, expected_value: K02000001, label: geography} + - {column: D, row: 414, expected_value: Females, label: sex} + - {column: E, row: 414, expected_value: Employee, label: employment type} + - {column: J, row: 414, expected_value: Value, label: measure} + - {column: L, row: 415, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 416 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 416, expected_value: K02000001, label: geography} + - {column: D, row: 416, expected_value: Females, label: sex} + - {column: E, row: 416, expected_value: Employee, label: employment type} + - {column: J, row: 416, expected_value: Value, label: measure} + - {column: L, row: 417, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 418 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 418, expected_value: K02000001, label: geography} + - {column: D, row: 418, expected_value: Females, label: sex} + - {column: E, row: 418, expected_value: Employee, label: employment type} + - {column: J, row: 418, expected_value: Value, label: measure} + - {column: L, row: 419, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 420 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 420, expected_value: K02000001, label: geography} + - {column: D, row: 420, expected_value: Females, label: sex} + - {column: E, row: 420, expected_value: Employee, label: employment type} + - {column: J, row: 420, expected_value: Value, label: measure} + - {column: L, row: 421, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 422 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 422, expected_value: K02000001, label: geography} + - {column: D, row: 422, expected_value: Females, label: sex} + - {column: E, row: 422, expected_value: Employee, label: employment type} + - {column: J, row: 422, expected_value: Value, label: measure} + - {column: L, row: 423, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 424 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 424, expected_value: K02000001, label: geography} + - {column: D, row: 424, expected_value: Females, label: sex} + - {column: E, row: 424, expected_value: Employee, label: employment type} + - {column: J, row: 424, expected_value: Value, label: measure} + - {column: L, row: 425, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 426 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 426, expected_value: K02000001, label: geography} + - {column: D, row: 426, expected_value: Females, label: sex} + - {column: E, row: 426, expected_value: Employee, label: employment type} + - {column: J, row: 426, expected_value: Value, label: measure} + - {column: L, row: 427, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 428 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 428, expected_value: K02000001, label: geography} + - {column: D, row: 428, expected_value: Females, label: sex} + - {column: E, row: 428, expected_value: Employee, label: employment type} + - {column: J, row: 428, expected_value: Value, label: measure} + - {column: L, row: 429, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 430 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 430, expected_value: K02000001, label: geography} + - {column: D, row: 430, expected_value: Females, label: sex} + - {column: E, row: 430, expected_value: Employee, label: employment type} + - {column: J, row: 430, expected_value: Value, label: measure} + - {column: L, row: 431, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 432 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 432, expected_value: K02000001, label: geography} + - {column: D, row: 432, expected_value: Females, label: sex} + - {column: E, row: 432, expected_value: Employee, label: employment type} + - {column: J, row: 432, expected_value: Value, label: measure} + - {column: L, row: 433, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 363 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 363, expected_value: K02000001, label: geography} + - {column: D, row: 363, expected_value: Females, label: sex} + - {column: E, row: 363, expected_value: Employee, label: employment type} + - {column: J, row: 363, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 365 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 365, expected_value: K02000001, label: geography} + - {column: D, row: 365, expected_value: Females, label: sex} + - {column: E, row: 365, expected_value: Employee, label: employment type} + - {column: J, row: 365, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 367 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 367, expected_value: K02000001, label: geography} + - {column: D, row: 367, expected_value: Females, label: sex} + - {column: E, row: 367, expected_value: Employee, label: employment type} + - {column: J, row: 367, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 369 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 369, expected_value: K02000001, label: geography} + - {column: D, row: 369, expected_value: Females, label: sex} + - {column: E, row: 369, expected_value: Employee, label: employment type} + - {column: J, row: 369, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 371 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 371, expected_value: K02000001, label: geography} + - {column: D, row: 371, expected_value: Females, label: sex} + - {column: E, row: 371, expected_value: Employee, label: employment type} + - {column: J, row: 371, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 373 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 373, expected_value: K02000001, label: geography} + - {column: D, row: 373, expected_value: Females, label: sex} + - {column: E, row: 373, expected_value: Employee, label: employment type} + - {column: J, row: 373, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 375 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 375, expected_value: K02000001, label: geography} + - {column: D, row: 375, expected_value: Females, label: sex} + - {column: E, row: 375, expected_value: Employee, label: employment type} + - {column: J, row: 375, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 377 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 377, expected_value: K02000001, label: geography} + - {column: D, row: 377, expected_value: Females, label: sex} + - {column: E, row: 377, expected_value: Employee, label: employment type} + - {column: J, row: 377, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 379 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 379, expected_value: K02000001, label: geography} + - {column: D, row: 379, expected_value: Females, label: sex} + - {column: E, row: 379, expected_value: Employee, label: employment type} + - {column: J, row: 379, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 381 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 381, expected_value: K02000001, label: geography} + - {column: D, row: 381, expected_value: Females, label: sex} + - {column: E, row: 381, expected_value: Employee, label: employment type} + - {column: J, row: 381, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 383 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 383, expected_value: K02000001, label: geography} + - {column: D, row: 383, expected_value: Females, label: sex} + - {column: E, row: 383, expected_value: Employee, label: employment type} + - {column: J, row: 383, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 385 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 385, expected_value: K02000001, label: geography} + - {column: D, row: 385, expected_value: Females, label: sex} + - {column: E, row: 385, expected_value: Employee, label: employment type} + - {column: J, row: 385, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 387 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 387, expected_value: K02000001, label: geography} + - {column: D, row: 387, expected_value: Females, label: sex} + - {column: E, row: 387, expected_value: Employee, label: employment type} + - {column: J, row: 387, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 389 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 389, expected_value: K02000001, label: geography} + - {column: D, row: 389, expected_value: Females, label: sex} + - {column: E, row: 389, expected_value: Employee, label: employment type} + - {column: J, row: 389, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 391 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 391, expected_value: K02000001, label: geography} + - {column: D, row: 391, expected_value: Females, label: sex} + - {column: E, row: 391, expected_value: Employee, label: employment type} + - {column: J, row: 391, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 393 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 393, expected_value: K02000001, label: geography} + - {column: D, row: 393, expected_value: Females, label: sex} + - {column: E, row: 393, expected_value: Employee, label: employment type} + - {column: J, row: 393, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 395 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 395, expected_value: K02000001, label: geography} + - {column: D, row: 395, expected_value: Females, label: sex} + - {column: E, row: 395, expected_value: Employee, label: employment type} + - {column: J, row: 395, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 397 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 397, expected_value: K02000001, label: geography} + - {column: D, row: 397, expected_value: Females, label: sex} + - {column: E, row: 397, expected_value: Employee, label: employment type} + - {column: J, row: 397, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 399 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 399, expected_value: K02000001, label: geography} + - {column: D, row: 399, expected_value: Females, label: sex} + - {column: E, row: 399, expected_value: Employee, label: employment type} + - {column: J, row: 399, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 401 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 401, expected_value: K02000001, label: geography} + - {column: D, row: 401, expected_value: Females, label: sex} + - {column: E, row: 401, expected_value: Employee, label: employment type} + - {column: J, row: 401, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 403 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 403, expected_value: K02000001, label: geography} + - {column: D, row: 403, expected_value: Females, label: sex} + - {column: E, row: 403, expected_value: Employee, label: employment type} + - {column: J, row: 403, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 405 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 405, expected_value: K02000001, label: geography} + - {column: D, row: 405, expected_value: Females, label: sex} + - {column: E, row: 405, expected_value: Employee, label: employment type} + - {column: J, row: 405, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 407 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 407, expected_value: K02000001, label: geography} + - {column: D, row: 407, expected_value: Females, label: sex} + - {column: E, row: 407, expected_value: Employee, label: employment type} + - {column: J, row: 407, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 409 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 409, expected_value: K02000001, label: geography} + - {column: D, row: 409, expected_value: Females, label: sex} + - {column: E, row: 409, expected_value: Employee, label: employment type} + - {column: J, row: 409, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 411 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 411, expected_value: K02000001, label: geography} + - {column: D, row: 411, expected_value: Females, label: sex} + - {column: E, row: 411, expected_value: Employee, label: employment type} + - {column: J, row: 411, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 413 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 413, expected_value: K02000001, label: geography} + - {column: D, row: 413, expected_value: Females, label: sex} + - {column: E, row: 413, expected_value: Employee, label: employment type} + - {column: J, row: 413, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 415 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 415, expected_value: K02000001, label: geography} + - {column: D, row: 415, expected_value: Females, label: sex} + - {column: E, row: 415, expected_value: Employee, label: employment type} + - {column: J, row: 415, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 417 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 417, expected_value: K02000001, label: geography} + - {column: D, row: 417, expected_value: Females, label: sex} + - {column: E, row: 417, expected_value: Employee, label: employment type} + - {column: J, row: 417, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 419 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 419, expected_value: K02000001, label: geography} + - {column: D, row: 419, expected_value: Females, label: sex} + - {column: E, row: 419, expected_value: Employee, label: employment type} + - {column: J, row: 419, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 421 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 421, expected_value: K02000001, label: geography} + - {column: D, row: 421, expected_value: Females, label: sex} + - {column: E, row: 421, expected_value: Employee, label: employment type} + - {column: J, row: 421, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 423 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 423, expected_value: K02000001, label: geography} + - {column: D, row: 423, expected_value: Females, label: sex} + - {column: E, row: 423, expected_value: Employee, label: employment type} + - {column: J, row: 423, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 425 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 425, expected_value: K02000001, label: geography} + - {column: D, row: 425, expected_value: Females, label: sex} + - {column: E, row: 425, expected_value: Employee, label: employment type} + - {column: J, row: 425, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 427 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 427, expected_value: K02000001, label: geography} + - {column: D, row: 427, expected_value: Females, label: sex} + - {column: E, row: 427, expected_value: Employee, label: employment type} + - {column: J, row: 427, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 429 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 429, expected_value: K02000001, label: geography} + - {column: D, row: 429, expected_value: Females, label: sex} + - {column: E, row: 429, expected_value: Employee, label: employment type} + - {column: J, row: 429, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 431 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 431, expected_value: K02000001, label: geography} + - {column: D, row: 431, expected_value: Females, label: sex} + - {column: E, row: 431, expected_value: Employee, label: employment type} + - {column: J, row: 431, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 433 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 433, expected_value: K02000001, label: geography} + - {column: D, row: 433, expected_value: Females, label: sex} + - {column: E, row: 433, expected_value: Employee, label: employment type} + - {column: J, row: 433, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 578 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 578, expected_value: K02000001, label: geography} + - {column: D, row: 578, expected_value: Females, label: sex} + - {column: E, row: 578, expected_value: Self-employed, label: employment type} + - {column: J, row: 578, expected_value: Value, label: measure} + - {column: L, row: 579, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 580 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 580, expected_value: K02000001, label: geography} + - {column: D, row: 580, expected_value: Females, label: sex} + - {column: E, row: 580, expected_value: Self-employed, label: employment type} + - {column: J, row: 580, expected_value: Value, label: measure} + - {column: L, row: 581, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 582 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 582, expected_value: K02000001, label: geography} + - {column: D, row: 582, expected_value: Females, label: sex} + - {column: E, row: 582, expected_value: Self-employed, label: employment type} + - {column: J, row: 582, expected_value: Value, label: measure} + - {column: L, row: 583, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 584 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 584, expected_value: K02000001, label: geography} + - {column: D, row: 584, expected_value: Females, label: sex} + - {column: E, row: 584, expected_value: Self-employed, label: employment type} + - {column: J, row: 584, expected_value: Value, label: measure} + - {column: L, row: 585, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 586 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 586, expected_value: K02000001, label: geography} + - {column: D, row: 586, expected_value: Females, label: sex} + - {column: E, row: 586, expected_value: Self-employed, label: employment type} + - {column: J, row: 586, expected_value: Value, label: measure} + - {column: L, row: 587, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 588 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 588, expected_value: K02000001, label: geography} + - {column: D, row: 588, expected_value: Females, label: sex} + - {column: E, row: 588, expected_value: Self-employed, label: employment type} + - {column: J, row: 588, expected_value: Value, label: measure} + - {column: L, row: 589, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 590 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 590, expected_value: K02000001, label: geography} + - {column: D, row: 590, expected_value: Females, label: sex} + - {column: E, row: 590, expected_value: Self-employed, label: employment type} + - {column: J, row: 590, expected_value: Value, label: measure} + - {column: L, row: 591, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 592 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 592, expected_value: K02000001, label: geography} + - {column: D, row: 592, expected_value: Females, label: sex} + - {column: E, row: 592, expected_value: Self-employed, label: employment type} + - {column: J, row: 592, expected_value: Value, label: measure} + - {column: L, row: 593, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 594 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 594, expected_value: K02000001, label: geography} + - {column: D, row: 594, expected_value: Females, label: sex} + - {column: E, row: 594, expected_value: Self-employed, label: employment type} + - {column: J, row: 594, expected_value: Value, label: measure} + - {column: L, row: 595, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 596 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 596, expected_value: K02000001, label: geography} + - {column: D, row: 596, expected_value: Females, label: sex} + - {column: E, row: 596, expected_value: Self-employed, label: employment type} + - {column: J, row: 596, expected_value: Value, label: measure} + - {column: L, row: 597, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 598 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 598, expected_value: K02000001, label: geography} + - {column: D, row: 598, expected_value: Females, label: sex} + - {column: E, row: 598, expected_value: Self-employed, label: employment type} + - {column: J, row: 598, expected_value: Value, label: measure} + - {column: L, row: 599, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 600 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 600, expected_value: K02000001, label: geography} + - {column: D, row: 600, expected_value: Females, label: sex} + - {column: E, row: 600, expected_value: Self-employed, label: employment type} + - {column: J, row: 600, expected_value: Value, label: measure} + - {column: L, row: 601, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 602 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 602, expected_value: K02000001, label: geography} + - {column: D, row: 602, expected_value: Females, label: sex} + - {column: E, row: 602, expected_value: Self-employed, label: employment type} + - {column: J, row: 602, expected_value: Value, label: measure} + - {column: L, row: 603, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 604 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 604, expected_value: K02000001, label: geography} + - {column: D, row: 604, expected_value: Females, label: sex} + - {column: E, row: 604, expected_value: Self-employed, label: employment type} + - {column: J, row: 604, expected_value: Value, label: measure} + - {column: L, row: 605, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 606 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 606, expected_value: K02000001, label: geography} + - {column: D, row: 606, expected_value: Females, label: sex} + - {column: E, row: 606, expected_value: Self-employed, label: employment type} + - {column: J, row: 606, expected_value: Value, label: measure} + - {column: L, row: 607, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 608 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 608, expected_value: K02000001, label: geography} + - {column: D, row: 608, expected_value: Females, label: sex} + - {column: E, row: 608, expected_value: Self-employed, label: employment type} + - {column: J, row: 608, expected_value: Value, label: measure} + - {column: L, row: 609, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 610 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 610, expected_value: K02000001, label: geography} + - {column: D, row: 610, expected_value: Females, label: sex} + - {column: E, row: 610, expected_value: Self-employed, label: employment type} + - {column: J, row: 610, expected_value: Value, label: measure} + - {column: L, row: 611, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 612 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 612, expected_value: K02000001, label: geography} + - {column: D, row: 612, expected_value: Females, label: sex} + - {column: E, row: 612, expected_value: Self-employed, label: employment type} + - {column: J, row: 612, expected_value: Value, label: measure} + - {column: L, row: 613, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 614 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 614, expected_value: K02000001, label: geography} + - {column: D, row: 614, expected_value: Females, label: sex} + - {column: E, row: 614, expected_value: Self-employed, label: employment type} + - {column: J, row: 614, expected_value: Value, label: measure} + - {column: L, row: 615, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 616 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 616, expected_value: K02000001, label: geography} + - {column: D, row: 616, expected_value: Females, label: sex} + - {column: E, row: 616, expected_value: Self-employed, label: employment type} + - {column: J, row: 616, expected_value: Value, label: measure} + - {column: L, row: 617, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 620 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 620, expected_value: K02000001, label: geography} + - {column: D, row: 620, expected_value: Females, label: sex} + - {column: E, row: 620, expected_value: Self-employed, label: employment type} + - {column: J, row: 620, expected_value: Value, label: measure} + - {column: L, row: 621, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 622 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 622, expected_value: K02000001, label: geography} + - {column: D, row: 622, expected_value: Females, label: sex} + - {column: E, row: 622, expected_value: Self-employed, label: employment type} + - {column: J, row: 622, expected_value: Value, label: measure} + - {column: L, row: 623, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 624 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 624, expected_value: K02000001, label: geography} + - {column: D, row: 624, expected_value: Females, label: sex} + - {column: E, row: 624, expected_value: Self-employed, label: employment type} + - {column: J, row: 624, expected_value: Value, label: measure} + - {column: L, row: 625, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 626 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 626, expected_value: K02000001, label: geography} + - {column: D, row: 626, expected_value: Females, label: sex} + - {column: E, row: 626, expected_value: Self-employed, label: employment type} + - {column: J, row: 626, expected_value: Value, label: measure} + - {column: L, row: 627, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 628 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 628, expected_value: K02000001, label: geography} + - {column: D, row: 628, expected_value: Females, label: sex} + - {column: E, row: 628, expected_value: Self-employed, label: employment type} + - {column: J, row: 628, expected_value: Value, label: measure} + - {column: L, row: 629, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 632 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 632, expected_value: K02000001, label: geography} + - {column: D, row: 632, expected_value: Females, label: sex} + - {column: E, row: 632, expected_value: Self-employed, label: employment type} + - {column: J, row: 632, expected_value: Value, label: measure} + - {column: L, row: 633, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 634 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 634, expected_value: K02000001, label: geography} + - {column: D, row: 634, expected_value: Females, label: sex} + - {column: E, row: 634, expected_value: Self-employed, label: employment type} + - {column: J, row: 634, expected_value: Value, label: measure} + - {column: L, row: 635, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 636 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 636, expected_value: K02000001, label: geography} + - {column: D, row: 636, expected_value: Females, label: sex} + - {column: E, row: 636, expected_value: Self-employed, label: employment type} + - {column: J, row: 636, expected_value: Value, label: measure} + - {column: L, row: 637, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 638 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 638, expected_value: K02000001, label: geography} + - {column: D, row: 638, expected_value: Females, label: sex} + - {column: E, row: 638, expected_value: Self-employed, label: employment type} + - {column: J, row: 638, expected_value: Value, label: measure} + - {column: L, row: 639, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 640 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 640, expected_value: K02000001, label: geography} + - {column: D, row: 640, expected_value: Females, label: sex} + - {column: E, row: 640, expected_value: Self-employed, label: employment type} + - {column: J, row: 640, expected_value: Value, label: measure} + - {column: L, row: 641, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 642 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 642, expected_value: K02000001, label: geography} + - {column: D, row: 642, expected_value: Females, label: sex} + - {column: E, row: 642, expected_value: Self-employed, label: employment type} + - {column: J, row: 642, expected_value: Value, label: measure} + - {column: L, row: 643, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 644 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 644, expected_value: K02000001, label: geography} + - {column: D, row: 644, expected_value: Females, label: sex} + - {column: E, row: 644, expected_value: Self-employed, label: employment type} + - {column: J, row: 644, expected_value: Value, label: measure} + - {column: L, row: 645, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 646 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 646, expected_value: K02000001, label: geography} + - {column: D, row: 646, expected_value: Females, label: sex} + - {column: E, row: 646, expected_value: Self-employed, label: employment type} + - {column: J, row: 646, expected_value: Value, label: measure} + - {column: L, row: 647, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 648 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 648, expected_value: K02000001, label: geography} + - {column: D, row: 648, expected_value: Females, label: sex} + - {column: E, row: 648, expected_value: Self-employed, label: employment type} + - {column: J, row: 648, expected_value: Value, label: measure} + - {column: L, row: 649, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.k02000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 579 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 579, expected_value: K02000001, label: geography} + - {column: D, row: 579, expected_value: Females, label: sex} + - {column: E, row: 579, expected_value: Self-employed, label: employment type} + - {column: J, row: 579, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 581 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 581, expected_value: K02000001, label: geography} + - {column: D, row: 581, expected_value: Females, label: sex} + - {column: E, row: 581, expected_value: Self-employed, label: employment type} + - {column: J, row: 581, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 583 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 583, expected_value: K02000001, label: geography} + - {column: D, row: 583, expected_value: Females, label: sex} + - {column: E, row: 583, expected_value: Self-employed, label: employment type} + - {column: J, row: 583, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 585 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 585, expected_value: K02000001, label: geography} + - {column: D, row: 585, expected_value: Females, label: sex} + - {column: E, row: 585, expected_value: Self-employed, label: employment type} + - {column: J, row: 585, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 587 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 587, expected_value: K02000001, label: geography} + - {column: D, row: 587, expected_value: Females, label: sex} + - {column: E, row: 587, expected_value: Self-employed, label: employment type} + - {column: J, row: 587, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 589 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 589, expected_value: K02000001, label: geography} + - {column: D, row: 589, expected_value: Females, label: sex} + - {column: E, row: 589, expected_value: Self-employed, label: employment type} + - {column: J, row: 589, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 591 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 591, expected_value: K02000001, label: geography} + - {column: D, row: 591, expected_value: Females, label: sex} + - {column: E, row: 591, expected_value: Self-employed, label: employment type} + - {column: J, row: 591, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 593 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 593, expected_value: K02000001, label: geography} + - {column: D, row: 593, expected_value: Females, label: sex} + - {column: E, row: 593, expected_value: Self-employed, label: employment type} + - {column: J, row: 593, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 595 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 595, expected_value: K02000001, label: geography} + - {column: D, row: 595, expected_value: Females, label: sex} + - {column: E, row: 595, expected_value: Self-employed, label: employment type} + - {column: J, row: 595, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 597 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 597, expected_value: K02000001, label: geography} + - {column: D, row: 597, expected_value: Females, label: sex} + - {column: E, row: 597, expected_value: Self-employed, label: employment type} + - {column: J, row: 597, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 599 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 599, expected_value: K02000001, label: geography} + - {column: D, row: 599, expected_value: Females, label: sex} + - {column: E, row: 599, expected_value: Self-employed, label: employment type} + - {column: J, row: 599, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 601 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 601, expected_value: K02000001, label: geography} + - {column: D, row: 601, expected_value: Females, label: sex} + - {column: E, row: 601, expected_value: Self-employed, label: employment type} + - {column: J, row: 601, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 605 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 605, expected_value: K02000001, label: geography} + - {column: D, row: 605, expected_value: Females, label: sex} + - {column: E, row: 605, expected_value: Self-employed, label: employment type} + - {column: J, row: 605, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 607 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 607, expected_value: K02000001, label: geography} + - {column: D, row: 607, expected_value: Females, label: sex} + - {column: E, row: 607, expected_value: Self-employed, label: employment type} + - {column: J, row: 607, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 609 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 609, expected_value: K02000001, label: geography} + - {column: D, row: 609, expected_value: Females, label: sex} + - {column: E, row: 609, expected_value: Self-employed, label: employment type} + - {column: J, row: 609, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 611 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 611, expected_value: K02000001, label: geography} + - {column: D, row: 611, expected_value: Females, label: sex} + - {column: E, row: 611, expected_value: Self-employed, label: employment type} + - {column: J, row: 611, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 613 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 613, expected_value: K02000001, label: geography} + - {column: D, row: 613, expected_value: Females, label: sex} + - {column: E, row: 613, expected_value: Self-employed, label: employment type} + - {column: J, row: 613, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 615 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 615, expected_value: K02000001, label: geography} + - {column: D, row: 615, expected_value: Females, label: sex} + - {column: E, row: 615, expected_value: Self-employed, label: employment type} + - {column: J, row: 615, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 617 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 617, expected_value: K02000001, label: geography} + - {column: D, row: 617, expected_value: Females, label: sex} + - {column: E, row: 617, expected_value: Self-employed, label: employment type} + - {column: J, row: 617, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 621 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 621, expected_value: K02000001, label: geography} + - {column: D, row: 621, expected_value: Females, label: sex} + - {column: E, row: 621, expected_value: Self-employed, label: employment type} + - {column: J, row: 621, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 623 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 623, expected_value: K02000001, label: geography} + - {column: D, row: 623, expected_value: Females, label: sex} + - {column: E, row: 623, expected_value: Self-employed, label: employment type} + - {column: J, row: 623, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 625 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 625, expected_value: K02000001, label: geography} + - {column: D, row: 625, expected_value: Females, label: sex} + - {column: E, row: 625, expected_value: Self-employed, label: employment type} + - {column: J, row: 625, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 627 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 627, expected_value: K02000001, label: geography} + - {column: D, row: 627, expected_value: Females, label: sex} + - {column: E, row: 627, expected_value: Self-employed, label: employment type} + - {column: J, row: 627, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 629 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 629, expected_value: K02000001, label: geography} + - {column: D, row: 629, expected_value: Females, label: sex} + - {column: E, row: 629, expected_value: Self-employed, label: employment type} + - {column: J, row: 629, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 633 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 633, expected_value: K02000001, label: geography} + - {column: D, row: 633, expected_value: Females, label: sex} + - {column: E, row: 633, expected_value: Self-employed, label: employment type} + - {column: J, row: 633, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 635 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 635, expected_value: K02000001, label: geography} + - {column: D, row: 635, expected_value: Females, label: sex} + - {column: E, row: 635, expected_value: Self-employed, label: employment type} + - {column: J, row: 635, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 637 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 637, expected_value: K02000001, label: geography} + - {column: D, row: 637, expected_value: Females, label: sex} + - {column: E, row: 637, expected_value: Self-employed, label: employment type} + - {column: J, row: 637, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 639 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 639, expected_value: K02000001, label: geography} + - {column: D, row: 639, expected_value: Females, label: sex} + - {column: E, row: 639, expected_value: Self-employed, label: employment type} + - {column: J, row: 639, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 641 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 641, expected_value: K02000001, label: geography} + - {column: D, row: 641, expected_value: Females, label: sex} + - {column: E, row: 641, expected_value: Self-employed, label: employment type} + - {column: J, row: 641, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 643 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 643, expected_value: K02000001, label: geography} + - {column: D, row: 643, expected_value: Females, label: sex} + - {column: E, row: 643, expected_value: Self-employed, label: employment type} + - {column: J, row: 643, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 645 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 645, expected_value: K02000001, label: geography} + - {column: D, row: 645, expected_value: Females, label: sex} + - {column: E, row: 645, expected_value: Self-employed, label: employment type} + - {column: J, row: 645, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 647 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 647, expected_value: K02000001, label: geography} + - {column: D, row: 647, expected_value: Females, label: sex} + - {column: E, row: 647, expected_value: Self-employed, label: employment type} + - {column: J, row: 647, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 649 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 649, expected_value: K02000001, label: geography} + - {column: D, row: 649, expected_value: Females, label: sex} + - {column: E, row: 649, expected_value: Self-employed, label: employment type} + - {column: J, row: 649, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 650 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 650, expected_value: E92000001, label: geography} + - {column: D, row: 650, expected_value: All persons, label: sex} + - {column: E, row: 650, expected_value: Total, label: employment type} + - {column: J, row: 650, expected_value: Value, label: measure} + - {column: L, row: 651, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 652 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 652, expected_value: E92000001, label: geography} + - {column: D, row: 652, expected_value: All persons, label: sex} + - {column: E, row: 652, expected_value: Total, label: employment type} + - {column: J, row: 652, expected_value: Value, label: measure} + - {column: L, row: 653, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 654 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 654, expected_value: E92000001, label: geography} + - {column: D, row: 654, expected_value: All persons, label: sex} + - {column: E, row: 654, expected_value: Total, label: employment type} + - {column: J, row: 654, expected_value: Value, label: measure} + - {column: L, row: 655, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 656 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 656, expected_value: E92000001, label: geography} + - {column: D, row: 656, expected_value: All persons, label: sex} + - {column: E, row: 656, expected_value: Total, label: employment type} + - {column: J, row: 656, expected_value: Value, label: measure} + - {column: L, row: 657, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 658 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 658, expected_value: E92000001, label: geography} + - {column: D, row: 658, expected_value: All persons, label: sex} + - {column: E, row: 658, expected_value: Total, label: employment type} + - {column: J, row: 658, expected_value: Value, label: measure} + - {column: L, row: 659, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 660 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 660, expected_value: E92000001, label: geography} + - {column: D, row: 660, expected_value: All persons, label: sex} + - {column: E, row: 660, expected_value: Total, label: employment type} + - {column: J, row: 660, expected_value: Value, label: measure} + - {column: L, row: 661, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 662 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 662, expected_value: E92000001, label: geography} + - {column: D, row: 662, expected_value: All persons, label: sex} + - {column: E, row: 662, expected_value: Total, label: employment type} + - {column: J, row: 662, expected_value: Value, label: measure} + - {column: L, row: 663, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 664 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 664, expected_value: E92000001, label: geography} + - {column: D, row: 664, expected_value: All persons, label: sex} + - {column: E, row: 664, expected_value: Total, label: employment type} + - {column: J, row: 664, expected_value: Value, label: measure} + - {column: L, row: 665, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 666 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 666, expected_value: E92000001, label: geography} + - {column: D, row: 666, expected_value: All persons, label: sex} + - {column: E, row: 666, expected_value: Total, label: employment type} + - {column: J, row: 666, expected_value: Value, label: measure} + - {column: L, row: 667, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 668 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 668, expected_value: E92000001, label: geography} + - {column: D, row: 668, expected_value: All persons, label: sex} + - {column: E, row: 668, expected_value: Total, label: employment type} + - {column: J, row: 668, expected_value: Value, label: measure} + - {column: L, row: 669, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 670 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 670, expected_value: E92000001, label: geography} + - {column: D, row: 670, expected_value: All persons, label: sex} + - {column: E, row: 670, expected_value: Total, label: employment type} + - {column: J, row: 670, expected_value: Value, label: measure} + - {column: L, row: 671, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 672 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 672, expected_value: E92000001, label: geography} + - {column: D, row: 672, expected_value: All persons, label: sex} + - {column: E, row: 672, expected_value: Total, label: employment type} + - {column: J, row: 672, expected_value: Value, label: measure} + - {column: L, row: 673, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 674 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 674, expected_value: E92000001, label: geography} + - {column: D, row: 674, expected_value: All persons, label: sex} + - {column: E, row: 674, expected_value: Total, label: employment type} + - {column: J, row: 674, expected_value: Value, label: measure} + - {column: L, row: 675, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 676 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 676, expected_value: E92000001, label: geography} + - {column: D, row: 676, expected_value: All persons, label: sex} + - {column: E, row: 676, expected_value: Total, label: employment type} + - {column: J, row: 676, expected_value: Value, label: measure} + - {column: L, row: 677, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 678 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 678, expected_value: E92000001, label: geography} + - {column: D, row: 678, expected_value: All persons, label: sex} + - {column: E, row: 678, expected_value: Total, label: employment type} + - {column: J, row: 678, expected_value: Value, label: measure} + - {column: L, row: 679, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 680 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 680, expected_value: E92000001, label: geography} + - {column: D, row: 680, expected_value: All persons, label: sex} + - {column: E, row: 680, expected_value: Total, label: employment type} + - {column: J, row: 680, expected_value: Value, label: measure} + - {column: L, row: 681, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 682 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 682, expected_value: E92000001, label: geography} + - {column: D, row: 682, expected_value: All persons, label: sex} + - {column: E, row: 682, expected_value: Total, label: employment type} + - {column: J, row: 682, expected_value: Value, label: measure} + - {column: L, row: 683, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 684 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 684, expected_value: E92000001, label: geography} + - {column: D, row: 684, expected_value: All persons, label: sex} + - {column: E, row: 684, expected_value: Total, label: employment type} + - {column: J, row: 684, expected_value: Value, label: measure} + - {column: L, row: 685, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 686 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 686, expected_value: E92000001, label: geography} + - {column: D, row: 686, expected_value: All persons, label: sex} + - {column: E, row: 686, expected_value: Total, label: employment type} + - {column: J, row: 686, expected_value: Value, label: measure} + - {column: L, row: 687, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 688 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 688, expected_value: E92000001, label: geography} + - {column: D, row: 688, expected_value: All persons, label: sex} + - {column: E, row: 688, expected_value: Total, label: employment type} + - {column: J, row: 688, expected_value: Value, label: measure} + - {column: L, row: 689, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 690 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 690, expected_value: E92000001, label: geography} + - {column: D, row: 690, expected_value: All persons, label: sex} + - {column: E, row: 690, expected_value: Total, label: employment type} + - {column: J, row: 690, expected_value: Value, label: measure} + - {column: L, row: 691, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 692 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 692, expected_value: E92000001, label: geography} + - {column: D, row: 692, expected_value: All persons, label: sex} + - {column: E, row: 692, expected_value: Total, label: employment type} + - {column: J, row: 692, expected_value: Value, label: measure} + - {column: L, row: 693, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 694 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 694, expected_value: E92000001, label: geography} + - {column: D, row: 694, expected_value: All persons, label: sex} + - {column: E, row: 694, expected_value: Total, label: employment type} + - {column: J, row: 694, expected_value: Value, label: measure} + - {column: L, row: 695, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 696 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 696, expected_value: E92000001, label: geography} + - {column: D, row: 696, expected_value: All persons, label: sex} + - {column: E, row: 696, expected_value: Total, label: employment type} + - {column: J, row: 696, expected_value: Value, label: measure} + - {column: L, row: 697, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 698 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 698, expected_value: E92000001, label: geography} + - {column: D, row: 698, expected_value: All persons, label: sex} + - {column: E, row: 698, expected_value: Total, label: employment type} + - {column: J, row: 698, expected_value: Value, label: measure} + - {column: L, row: 699, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 700 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 700, expected_value: E92000001, label: geography} + - {column: D, row: 700, expected_value: All persons, label: sex} + - {column: E, row: 700, expected_value: Total, label: employment type} + - {column: J, row: 700, expected_value: Value, label: measure} + - {column: L, row: 701, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 702 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 702, expected_value: E92000001, label: geography} + - {column: D, row: 702, expected_value: All persons, label: sex} + - {column: E, row: 702, expected_value: Total, label: employment type} + - {column: J, row: 702, expected_value: Value, label: measure} + - {column: L, row: 703, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 704 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 704, expected_value: E92000001, label: geography} + - {column: D, row: 704, expected_value: All persons, label: sex} + - {column: E, row: 704, expected_value: Total, label: employment type} + - {column: J, row: 704, expected_value: Value, label: measure} + - {column: L, row: 705, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 706 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 706, expected_value: E92000001, label: geography} + - {column: D, row: 706, expected_value: All persons, label: sex} + - {column: E, row: 706, expected_value: Total, label: employment type} + - {column: J, row: 706, expected_value: Value, label: measure} + - {column: L, row: 707, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 708 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 708, expected_value: E92000001, label: geography} + - {column: D, row: 708, expected_value: All persons, label: sex} + - {column: E, row: 708, expected_value: Total, label: employment type} + - {column: J, row: 708, expected_value: Value, label: measure} + - {column: L, row: 709, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 710 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 710, expected_value: E92000001, label: geography} + - {column: D, row: 710, expected_value: All persons, label: sex} + - {column: E, row: 710, expected_value: Total, label: employment type} + - {column: J, row: 710, expected_value: Value, label: measure} + - {column: L, row: 711, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 712 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 712, expected_value: E92000001, label: geography} + - {column: D, row: 712, expected_value: All persons, label: sex} + - {column: E, row: 712, expected_value: Total, label: employment type} + - {column: J, row: 712, expected_value: Value, label: measure} + - {column: L, row: 713, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 714 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 714, expected_value: E92000001, label: geography} + - {column: D, row: 714, expected_value: All persons, label: sex} + - {column: E, row: 714, expected_value: Total, label: employment type} + - {column: J, row: 714, expected_value: Value, label: measure} + - {column: L, row: 715, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 716 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 716, expected_value: E92000001, label: geography} + - {column: D, row: 716, expected_value: All persons, label: sex} + - {column: E, row: 716, expected_value: Total, label: employment type} + - {column: J, row: 716, expected_value: Value, label: measure} + - {column: L, row: 717, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 718 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 718, expected_value: E92000001, label: geography} + - {column: D, row: 718, expected_value: All persons, label: sex} + - {column: E, row: 718, expected_value: Total, label: employment type} + - {column: J, row: 718, expected_value: Value, label: measure} + - {column: L, row: 719, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 720 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 720, expected_value: E92000001, label: geography} + - {column: D, row: 720, expected_value: All persons, label: sex} + - {column: E, row: 720, expected_value: Total, label: employment type} + - {column: J, row: 720, expected_value: Value, label: measure} + - {column: L, row: 721, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 651 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 651, expected_value: E92000001, label: geography} + - {column: D, row: 651, expected_value: All persons, label: sex} + - {column: E, row: 651, expected_value: Total, label: employment type} + - {column: J, row: 651, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 653 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 653, expected_value: E92000001, label: geography} + - {column: D, row: 653, expected_value: All persons, label: sex} + - {column: E, row: 653, expected_value: Total, label: employment type} + - {column: J, row: 653, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 655 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 655, expected_value: E92000001, label: geography} + - {column: D, row: 655, expected_value: All persons, label: sex} + - {column: E, row: 655, expected_value: Total, label: employment type} + - {column: J, row: 655, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 657 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 657, expected_value: E92000001, label: geography} + - {column: D, row: 657, expected_value: All persons, label: sex} + - {column: E, row: 657, expected_value: Total, label: employment type} + - {column: J, row: 657, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 659 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 659, expected_value: E92000001, label: geography} + - {column: D, row: 659, expected_value: All persons, label: sex} + - {column: E, row: 659, expected_value: Total, label: employment type} + - {column: J, row: 659, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 661 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 661, expected_value: E92000001, label: geography} + - {column: D, row: 661, expected_value: All persons, label: sex} + - {column: E, row: 661, expected_value: Total, label: employment type} + - {column: J, row: 661, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 663 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 663, expected_value: E92000001, label: geography} + - {column: D, row: 663, expected_value: All persons, label: sex} + - {column: E, row: 663, expected_value: Total, label: employment type} + - {column: J, row: 663, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 665 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 665, expected_value: E92000001, label: geography} + - {column: D, row: 665, expected_value: All persons, label: sex} + - {column: E, row: 665, expected_value: Total, label: employment type} + - {column: J, row: 665, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 667 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 667, expected_value: E92000001, label: geography} + - {column: D, row: 667, expected_value: All persons, label: sex} + - {column: E, row: 667, expected_value: Total, label: employment type} + - {column: J, row: 667, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 669 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 669, expected_value: E92000001, label: geography} + - {column: D, row: 669, expected_value: All persons, label: sex} + - {column: E, row: 669, expected_value: Total, label: employment type} + - {column: J, row: 669, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 671 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 671, expected_value: E92000001, label: geography} + - {column: D, row: 671, expected_value: All persons, label: sex} + - {column: E, row: 671, expected_value: Total, label: employment type} + - {column: J, row: 671, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 673 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 673, expected_value: E92000001, label: geography} + - {column: D, row: 673, expected_value: All persons, label: sex} + - {column: E, row: 673, expected_value: Total, label: employment type} + - {column: J, row: 673, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 675 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 675, expected_value: E92000001, label: geography} + - {column: D, row: 675, expected_value: All persons, label: sex} + - {column: E, row: 675, expected_value: Total, label: employment type} + - {column: J, row: 675, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 677 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 677, expected_value: E92000001, label: geography} + - {column: D, row: 677, expected_value: All persons, label: sex} + - {column: E, row: 677, expected_value: Total, label: employment type} + - {column: J, row: 677, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 679 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 679, expected_value: E92000001, label: geography} + - {column: D, row: 679, expected_value: All persons, label: sex} + - {column: E, row: 679, expected_value: Total, label: employment type} + - {column: J, row: 679, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 681 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 681, expected_value: E92000001, label: geography} + - {column: D, row: 681, expected_value: All persons, label: sex} + - {column: E, row: 681, expected_value: Total, label: employment type} + - {column: J, row: 681, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 683 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 683, expected_value: E92000001, label: geography} + - {column: D, row: 683, expected_value: All persons, label: sex} + - {column: E, row: 683, expected_value: Total, label: employment type} + - {column: J, row: 683, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 685 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 685, expected_value: E92000001, label: geography} + - {column: D, row: 685, expected_value: All persons, label: sex} + - {column: E, row: 685, expected_value: Total, label: employment type} + - {column: J, row: 685, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 687 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 687, expected_value: E92000001, label: geography} + - {column: D, row: 687, expected_value: All persons, label: sex} + - {column: E, row: 687, expected_value: Total, label: employment type} + - {column: J, row: 687, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 689 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 689, expected_value: E92000001, label: geography} + - {column: D, row: 689, expected_value: All persons, label: sex} + - {column: E, row: 689, expected_value: Total, label: employment type} + - {column: J, row: 689, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 691 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 691, expected_value: E92000001, label: geography} + - {column: D, row: 691, expected_value: All persons, label: sex} + - {column: E, row: 691, expected_value: Total, label: employment type} + - {column: J, row: 691, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 693 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 693, expected_value: E92000001, label: geography} + - {column: D, row: 693, expected_value: All persons, label: sex} + - {column: E, row: 693, expected_value: Total, label: employment type} + - {column: J, row: 693, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 695 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 695, expected_value: E92000001, label: geography} + - {column: D, row: 695, expected_value: All persons, label: sex} + - {column: E, row: 695, expected_value: Total, label: employment type} + - {column: J, row: 695, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 697 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 697, expected_value: E92000001, label: geography} + - {column: D, row: 697, expected_value: All persons, label: sex} + - {column: E, row: 697, expected_value: Total, label: employment type} + - {column: J, row: 697, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 699 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 699, expected_value: E92000001, label: geography} + - {column: D, row: 699, expected_value: All persons, label: sex} + - {column: E, row: 699, expected_value: Total, label: employment type} + - {column: J, row: 699, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 701 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 701, expected_value: E92000001, label: geography} + - {column: D, row: 701, expected_value: All persons, label: sex} + - {column: E, row: 701, expected_value: Total, label: employment type} + - {column: J, row: 701, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 703 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 703, expected_value: E92000001, label: geography} + - {column: D, row: 703, expected_value: All persons, label: sex} + - {column: E, row: 703, expected_value: Total, label: employment type} + - {column: J, row: 703, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 705 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 705, expected_value: E92000001, label: geography} + - {column: D, row: 705, expected_value: All persons, label: sex} + - {column: E, row: 705, expected_value: Total, label: employment type} + - {column: J, row: 705, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 707 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 707, expected_value: E92000001, label: geography} + - {column: D, row: 707, expected_value: All persons, label: sex} + - {column: E, row: 707, expected_value: Total, label: employment type} + - {column: J, row: 707, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 709 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 709, expected_value: E92000001, label: geography} + - {column: D, row: 709, expected_value: All persons, label: sex} + - {column: E, row: 709, expected_value: Total, label: employment type} + - {column: J, row: 709, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 711 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 711, expected_value: E92000001, label: geography} + - {column: D, row: 711, expected_value: All persons, label: sex} + - {column: E, row: 711, expected_value: Total, label: employment type} + - {column: J, row: 711, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 713 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 713, expected_value: E92000001, label: geography} + - {column: D, row: 713, expected_value: All persons, label: sex} + - {column: E, row: 713, expected_value: Total, label: employment type} + - {column: J, row: 713, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 715 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 715, expected_value: E92000001, label: geography} + - {column: D, row: 715, expected_value: All persons, label: sex} + - {column: E, row: 715, expected_value: Total, label: employment type} + - {column: J, row: 715, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 717 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 717, expected_value: E92000001, label: geography} + - {column: D, row: 717, expected_value: All persons, label: sex} + - {column: E, row: 717, expected_value: Total, label: employment type} + - {column: J, row: 717, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 719 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 719, expected_value: E92000001, label: geography} + - {column: D, row: 719, expected_value: All persons, label: sex} + - {column: E, row: 719, expected_value: Total, label: employment type} + - {column: J, row: 719, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 721 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 721, expected_value: E92000001, label: geography} + - {column: D, row: 721, expected_value: All persons, label: sex} + - {column: E, row: 721, expected_value: Total, label: employment type} + - {column: J, row: 721, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 866 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 866, expected_value: E92000001, label: geography} + - {column: D, row: 866, expected_value: All persons, label: sex} + - {column: E, row: 866, expected_value: Employee, label: employment type} + - {column: J, row: 866, expected_value: Value, label: measure} + - {column: L, row: 867, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 868 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 868, expected_value: E92000001, label: geography} + - {column: D, row: 868, expected_value: All persons, label: sex} + - {column: E, row: 868, expected_value: Employee, label: employment type} + - {column: J, row: 868, expected_value: Value, label: measure} + - {column: L, row: 869, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 870 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 870, expected_value: E92000001, label: geography} + - {column: D, row: 870, expected_value: All persons, label: sex} + - {column: E, row: 870, expected_value: Employee, label: employment type} + - {column: J, row: 870, expected_value: Value, label: measure} + - {column: L, row: 871, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 872 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 872, expected_value: E92000001, label: geography} + - {column: D, row: 872, expected_value: All persons, label: sex} + - {column: E, row: 872, expected_value: Employee, label: employment type} + - {column: J, row: 872, expected_value: Value, label: measure} + - {column: L, row: 873, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 874 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 874, expected_value: E92000001, label: geography} + - {column: D, row: 874, expected_value: All persons, label: sex} + - {column: E, row: 874, expected_value: Employee, label: employment type} + - {column: J, row: 874, expected_value: Value, label: measure} + - {column: L, row: 875, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 876 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 876, expected_value: E92000001, label: geography} + - {column: D, row: 876, expected_value: All persons, label: sex} + - {column: E, row: 876, expected_value: Employee, label: employment type} + - {column: J, row: 876, expected_value: Value, label: measure} + - {column: L, row: 877, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 878 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 878, expected_value: E92000001, label: geography} + - {column: D, row: 878, expected_value: All persons, label: sex} + - {column: E, row: 878, expected_value: Employee, label: employment type} + - {column: J, row: 878, expected_value: Value, label: measure} + - {column: L, row: 879, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 880 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 880, expected_value: E92000001, label: geography} + - {column: D, row: 880, expected_value: All persons, label: sex} + - {column: E, row: 880, expected_value: Employee, label: employment type} + - {column: J, row: 880, expected_value: Value, label: measure} + - {column: L, row: 881, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 882 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 882, expected_value: E92000001, label: geography} + - {column: D, row: 882, expected_value: All persons, label: sex} + - {column: E, row: 882, expected_value: Employee, label: employment type} + - {column: J, row: 882, expected_value: Value, label: measure} + - {column: L, row: 883, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 884 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 884, expected_value: E92000001, label: geography} + - {column: D, row: 884, expected_value: All persons, label: sex} + - {column: E, row: 884, expected_value: Employee, label: employment type} + - {column: J, row: 884, expected_value: Value, label: measure} + - {column: L, row: 885, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 886 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 886, expected_value: E92000001, label: geography} + - {column: D, row: 886, expected_value: All persons, label: sex} + - {column: E, row: 886, expected_value: Employee, label: employment type} + - {column: J, row: 886, expected_value: Value, label: measure} + - {column: L, row: 887, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 888 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 888, expected_value: E92000001, label: geography} + - {column: D, row: 888, expected_value: All persons, label: sex} + - {column: E, row: 888, expected_value: Employee, label: employment type} + - {column: J, row: 888, expected_value: Value, label: measure} + - {column: L, row: 889, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 890 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 890, expected_value: E92000001, label: geography} + - {column: D, row: 890, expected_value: All persons, label: sex} + - {column: E, row: 890, expected_value: Employee, label: employment type} + - {column: J, row: 890, expected_value: Value, label: measure} + - {column: L, row: 891, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 892 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 892, expected_value: E92000001, label: geography} + - {column: D, row: 892, expected_value: All persons, label: sex} + - {column: E, row: 892, expected_value: Employee, label: employment type} + - {column: J, row: 892, expected_value: Value, label: measure} + - {column: L, row: 893, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 894 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 894, expected_value: E92000001, label: geography} + - {column: D, row: 894, expected_value: All persons, label: sex} + - {column: E, row: 894, expected_value: Employee, label: employment type} + - {column: J, row: 894, expected_value: Value, label: measure} + - {column: L, row: 895, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 896 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 896, expected_value: E92000001, label: geography} + - {column: D, row: 896, expected_value: All persons, label: sex} + - {column: E, row: 896, expected_value: Employee, label: employment type} + - {column: J, row: 896, expected_value: Value, label: measure} + - {column: L, row: 897, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 898 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 898, expected_value: E92000001, label: geography} + - {column: D, row: 898, expected_value: All persons, label: sex} + - {column: E, row: 898, expected_value: Employee, label: employment type} + - {column: J, row: 898, expected_value: Value, label: measure} + - {column: L, row: 899, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 900 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 900, expected_value: E92000001, label: geography} + - {column: D, row: 900, expected_value: All persons, label: sex} + - {column: E, row: 900, expected_value: Employee, label: employment type} + - {column: J, row: 900, expected_value: Value, label: measure} + - {column: L, row: 901, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 902 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 902, expected_value: E92000001, label: geography} + - {column: D, row: 902, expected_value: All persons, label: sex} + - {column: E, row: 902, expected_value: Employee, label: employment type} + - {column: J, row: 902, expected_value: Value, label: measure} + - {column: L, row: 903, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 904 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 904, expected_value: E92000001, label: geography} + - {column: D, row: 904, expected_value: All persons, label: sex} + - {column: E, row: 904, expected_value: Employee, label: employment type} + - {column: J, row: 904, expected_value: Value, label: measure} + - {column: L, row: 905, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 906 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 906, expected_value: E92000001, label: geography} + - {column: D, row: 906, expected_value: All persons, label: sex} + - {column: E, row: 906, expected_value: Employee, label: employment type} + - {column: J, row: 906, expected_value: Value, label: measure} + - {column: L, row: 907, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 908 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 908, expected_value: E92000001, label: geography} + - {column: D, row: 908, expected_value: All persons, label: sex} + - {column: E, row: 908, expected_value: Employee, label: employment type} + - {column: J, row: 908, expected_value: Value, label: measure} + - {column: L, row: 909, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 910 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 910, expected_value: E92000001, label: geography} + - {column: D, row: 910, expected_value: All persons, label: sex} + - {column: E, row: 910, expected_value: Employee, label: employment type} + - {column: J, row: 910, expected_value: Value, label: measure} + - {column: L, row: 911, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 912 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 912, expected_value: E92000001, label: geography} + - {column: D, row: 912, expected_value: All persons, label: sex} + - {column: E, row: 912, expected_value: Employee, label: employment type} + - {column: J, row: 912, expected_value: Value, label: measure} + - {column: L, row: 913, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 914 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 914, expected_value: E92000001, label: geography} + - {column: D, row: 914, expected_value: All persons, label: sex} + - {column: E, row: 914, expected_value: Employee, label: employment type} + - {column: J, row: 914, expected_value: Value, label: measure} + - {column: L, row: 915, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 916 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 916, expected_value: E92000001, label: geography} + - {column: D, row: 916, expected_value: All persons, label: sex} + - {column: E, row: 916, expected_value: Employee, label: employment type} + - {column: J, row: 916, expected_value: Value, label: measure} + - {column: L, row: 917, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 918 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 918, expected_value: E92000001, label: geography} + - {column: D, row: 918, expected_value: All persons, label: sex} + - {column: E, row: 918, expected_value: Employee, label: employment type} + - {column: J, row: 918, expected_value: Value, label: measure} + - {column: L, row: 919, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 920 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 920, expected_value: E92000001, label: geography} + - {column: D, row: 920, expected_value: All persons, label: sex} + - {column: E, row: 920, expected_value: Employee, label: employment type} + - {column: J, row: 920, expected_value: Value, label: measure} + - {column: L, row: 921, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 922 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 922, expected_value: E92000001, label: geography} + - {column: D, row: 922, expected_value: All persons, label: sex} + - {column: E, row: 922, expected_value: Employee, label: employment type} + - {column: J, row: 922, expected_value: Value, label: measure} + - {column: L, row: 923, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 924 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 924, expected_value: E92000001, label: geography} + - {column: D, row: 924, expected_value: All persons, label: sex} + - {column: E, row: 924, expected_value: Employee, label: employment type} + - {column: J, row: 924, expected_value: Value, label: measure} + - {column: L, row: 925, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 926 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 926, expected_value: E92000001, label: geography} + - {column: D, row: 926, expected_value: All persons, label: sex} + - {column: E, row: 926, expected_value: Employee, label: employment type} + - {column: J, row: 926, expected_value: Value, label: measure} + - {column: L, row: 927, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 928 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 928, expected_value: E92000001, label: geography} + - {column: D, row: 928, expected_value: All persons, label: sex} + - {column: E, row: 928, expected_value: Employee, label: employment type} + - {column: J, row: 928, expected_value: Value, label: measure} + - {column: L, row: 929, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 930 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 930, expected_value: E92000001, label: geography} + - {column: D, row: 930, expected_value: All persons, label: sex} + - {column: E, row: 930, expected_value: Employee, label: employment type} + - {column: J, row: 930, expected_value: Value, label: measure} + - {column: L, row: 931, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 932 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 932, expected_value: E92000001, label: geography} + - {column: D, row: 932, expected_value: All persons, label: sex} + - {column: E, row: 932, expected_value: Employee, label: employment type} + - {column: J, row: 932, expected_value: Value, label: measure} + - {column: L, row: 933, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 934 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 934, expected_value: E92000001, label: geography} + - {column: D, row: 934, expected_value: All persons, label: sex} + - {column: E, row: 934, expected_value: Employee, label: employment type} + - {column: J, row: 934, expected_value: Value, label: measure} + - {column: L, row: 935, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 936 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 936, expected_value: E92000001, label: geography} + - {column: D, row: 936, expected_value: All persons, label: sex} + - {column: E, row: 936, expected_value: Employee, label: employment type} + - {column: J, row: 936, expected_value: Value, label: measure} + - {column: L, row: 937, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 867 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 867, expected_value: E92000001, label: geography} + - {column: D, row: 867, expected_value: All persons, label: sex} + - {column: E, row: 867, expected_value: Employee, label: employment type} + - {column: J, row: 867, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 869 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 869, expected_value: E92000001, label: geography} + - {column: D, row: 869, expected_value: All persons, label: sex} + - {column: E, row: 869, expected_value: Employee, label: employment type} + - {column: J, row: 869, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 871 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 871, expected_value: E92000001, label: geography} + - {column: D, row: 871, expected_value: All persons, label: sex} + - {column: E, row: 871, expected_value: Employee, label: employment type} + - {column: J, row: 871, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 873 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 873, expected_value: E92000001, label: geography} + - {column: D, row: 873, expected_value: All persons, label: sex} + - {column: E, row: 873, expected_value: Employee, label: employment type} + - {column: J, row: 873, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 875 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 875, expected_value: E92000001, label: geography} + - {column: D, row: 875, expected_value: All persons, label: sex} + - {column: E, row: 875, expected_value: Employee, label: employment type} + - {column: J, row: 875, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 877 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 877, expected_value: E92000001, label: geography} + - {column: D, row: 877, expected_value: All persons, label: sex} + - {column: E, row: 877, expected_value: Employee, label: employment type} + - {column: J, row: 877, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 879 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 879, expected_value: E92000001, label: geography} + - {column: D, row: 879, expected_value: All persons, label: sex} + - {column: E, row: 879, expected_value: Employee, label: employment type} + - {column: J, row: 879, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 881 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 881, expected_value: E92000001, label: geography} + - {column: D, row: 881, expected_value: All persons, label: sex} + - {column: E, row: 881, expected_value: Employee, label: employment type} + - {column: J, row: 881, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 883 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 883, expected_value: E92000001, label: geography} + - {column: D, row: 883, expected_value: All persons, label: sex} + - {column: E, row: 883, expected_value: Employee, label: employment type} + - {column: J, row: 883, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 885 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 885, expected_value: E92000001, label: geography} + - {column: D, row: 885, expected_value: All persons, label: sex} + - {column: E, row: 885, expected_value: Employee, label: employment type} + - {column: J, row: 885, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 887 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 887, expected_value: E92000001, label: geography} + - {column: D, row: 887, expected_value: All persons, label: sex} + - {column: E, row: 887, expected_value: Employee, label: employment type} + - {column: J, row: 887, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 889 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 889, expected_value: E92000001, label: geography} + - {column: D, row: 889, expected_value: All persons, label: sex} + - {column: E, row: 889, expected_value: Employee, label: employment type} + - {column: J, row: 889, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 891 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 891, expected_value: E92000001, label: geography} + - {column: D, row: 891, expected_value: All persons, label: sex} + - {column: E, row: 891, expected_value: Employee, label: employment type} + - {column: J, row: 891, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 893 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 893, expected_value: E92000001, label: geography} + - {column: D, row: 893, expected_value: All persons, label: sex} + - {column: E, row: 893, expected_value: Employee, label: employment type} + - {column: J, row: 893, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 895 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 895, expected_value: E92000001, label: geography} + - {column: D, row: 895, expected_value: All persons, label: sex} + - {column: E, row: 895, expected_value: Employee, label: employment type} + - {column: J, row: 895, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 897 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 897, expected_value: E92000001, label: geography} + - {column: D, row: 897, expected_value: All persons, label: sex} + - {column: E, row: 897, expected_value: Employee, label: employment type} + - {column: J, row: 897, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 899 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 899, expected_value: E92000001, label: geography} + - {column: D, row: 899, expected_value: All persons, label: sex} + - {column: E, row: 899, expected_value: Employee, label: employment type} + - {column: J, row: 899, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 901 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 901, expected_value: E92000001, label: geography} + - {column: D, row: 901, expected_value: All persons, label: sex} + - {column: E, row: 901, expected_value: Employee, label: employment type} + - {column: J, row: 901, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 903 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 903, expected_value: E92000001, label: geography} + - {column: D, row: 903, expected_value: All persons, label: sex} + - {column: E, row: 903, expected_value: Employee, label: employment type} + - {column: J, row: 903, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 905 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 905, expected_value: E92000001, label: geography} + - {column: D, row: 905, expected_value: All persons, label: sex} + - {column: E, row: 905, expected_value: Employee, label: employment type} + - {column: J, row: 905, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 907 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 907, expected_value: E92000001, label: geography} + - {column: D, row: 907, expected_value: All persons, label: sex} + - {column: E, row: 907, expected_value: Employee, label: employment type} + - {column: J, row: 907, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 909 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 909, expected_value: E92000001, label: geography} + - {column: D, row: 909, expected_value: All persons, label: sex} + - {column: E, row: 909, expected_value: Employee, label: employment type} + - {column: J, row: 909, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 911 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 911, expected_value: E92000001, label: geography} + - {column: D, row: 911, expected_value: All persons, label: sex} + - {column: E, row: 911, expected_value: Employee, label: employment type} + - {column: J, row: 911, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 913 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 913, expected_value: E92000001, label: geography} + - {column: D, row: 913, expected_value: All persons, label: sex} + - {column: E, row: 913, expected_value: Employee, label: employment type} + - {column: J, row: 913, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 915 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 915, expected_value: E92000001, label: geography} + - {column: D, row: 915, expected_value: All persons, label: sex} + - {column: E, row: 915, expected_value: Employee, label: employment type} + - {column: J, row: 915, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 917 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 917, expected_value: E92000001, label: geography} + - {column: D, row: 917, expected_value: All persons, label: sex} + - {column: E, row: 917, expected_value: Employee, label: employment type} + - {column: J, row: 917, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 919 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 919, expected_value: E92000001, label: geography} + - {column: D, row: 919, expected_value: All persons, label: sex} + - {column: E, row: 919, expected_value: Employee, label: employment type} + - {column: J, row: 919, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 921 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 921, expected_value: E92000001, label: geography} + - {column: D, row: 921, expected_value: All persons, label: sex} + - {column: E, row: 921, expected_value: Employee, label: employment type} + - {column: J, row: 921, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 923 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 923, expected_value: E92000001, label: geography} + - {column: D, row: 923, expected_value: All persons, label: sex} + - {column: E, row: 923, expected_value: Employee, label: employment type} + - {column: J, row: 923, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 925 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 925, expected_value: E92000001, label: geography} + - {column: D, row: 925, expected_value: All persons, label: sex} + - {column: E, row: 925, expected_value: Employee, label: employment type} + - {column: J, row: 925, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 927 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 927, expected_value: E92000001, label: geography} + - {column: D, row: 927, expected_value: All persons, label: sex} + - {column: E, row: 927, expected_value: Employee, label: employment type} + - {column: J, row: 927, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 929 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 929, expected_value: E92000001, label: geography} + - {column: D, row: 929, expected_value: All persons, label: sex} + - {column: E, row: 929, expected_value: Employee, label: employment type} + - {column: J, row: 929, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 931 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 931, expected_value: E92000001, label: geography} + - {column: D, row: 931, expected_value: All persons, label: sex} + - {column: E, row: 931, expected_value: Employee, label: employment type} + - {column: J, row: 931, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 933 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 933, expected_value: E92000001, label: geography} + - {column: D, row: 933, expected_value: All persons, label: sex} + - {column: E, row: 933, expected_value: Employee, label: employment type} + - {column: J, row: 933, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 935 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 935, expected_value: E92000001, label: geography} + - {column: D, row: 935, expected_value: All persons, label: sex} + - {column: E, row: 935, expected_value: Employee, label: employment type} + - {column: J, row: 935, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 937 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 937, expected_value: E92000001, label: geography} + - {column: D, row: 937, expected_value: All persons, label: sex} + - {column: E, row: 937, expected_value: Employee, label: employment type} + - {column: J, row: 937, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1082 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1082, expected_value: E92000001, label: geography} + - {column: D, row: 1082, expected_value: All persons, label: sex} + - {column: E, row: 1082, expected_value: Self-employed, label: employment type} + - {column: J, row: 1082, expected_value: Value, label: measure} + - {column: L, row: 1083, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1084 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1084, expected_value: E92000001, label: geography} + - {column: D, row: 1084, expected_value: All persons, label: sex} + - {column: E, row: 1084, expected_value: Self-employed, label: employment type} + - {column: J, row: 1084, expected_value: Value, label: measure} + - {column: L, row: 1085, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1086 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1086, expected_value: E92000001, label: geography} + - {column: D, row: 1086, expected_value: All persons, label: sex} + - {column: E, row: 1086, expected_value: Self-employed, label: employment type} + - {column: J, row: 1086, expected_value: Value, label: measure} + - {column: L, row: 1087, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1088 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1088, expected_value: E92000001, label: geography} + - {column: D, row: 1088, expected_value: All persons, label: sex} + - {column: E, row: 1088, expected_value: Self-employed, label: employment type} + - {column: J, row: 1088, expected_value: Value, label: measure} + - {column: L, row: 1089, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1090 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1090, expected_value: E92000001, label: geography} + - {column: D, row: 1090, expected_value: All persons, label: sex} + - {column: E, row: 1090, expected_value: Self-employed, label: employment type} + - {column: J, row: 1090, expected_value: Value, label: measure} + - {column: L, row: 1091, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1092 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1092, expected_value: E92000001, label: geography} + - {column: D, row: 1092, expected_value: All persons, label: sex} + - {column: E, row: 1092, expected_value: Self-employed, label: employment type} + - {column: J, row: 1092, expected_value: Value, label: measure} + - {column: L, row: 1093, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1094 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1094, expected_value: E92000001, label: geography} + - {column: D, row: 1094, expected_value: All persons, label: sex} + - {column: E, row: 1094, expected_value: Self-employed, label: employment type} + - {column: J, row: 1094, expected_value: Value, label: measure} + - {column: L, row: 1095, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1096 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1096, expected_value: E92000001, label: geography} + - {column: D, row: 1096, expected_value: All persons, label: sex} + - {column: E, row: 1096, expected_value: Self-employed, label: employment type} + - {column: J, row: 1096, expected_value: Value, label: measure} + - {column: L, row: 1097, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1098 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1098, expected_value: E92000001, label: geography} + - {column: D, row: 1098, expected_value: All persons, label: sex} + - {column: E, row: 1098, expected_value: Self-employed, label: employment type} + - {column: J, row: 1098, expected_value: Value, label: measure} + - {column: L, row: 1099, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1100 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1100, expected_value: E92000001, label: geography} + - {column: D, row: 1100, expected_value: All persons, label: sex} + - {column: E, row: 1100, expected_value: Self-employed, label: employment type} + - {column: J, row: 1100, expected_value: Value, label: measure} + - {column: L, row: 1101, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1102 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1102, expected_value: E92000001, label: geography} + - {column: D, row: 1102, expected_value: All persons, label: sex} + - {column: E, row: 1102, expected_value: Self-employed, label: employment type} + - {column: J, row: 1102, expected_value: Value, label: measure} + - {column: L, row: 1103, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1104 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1104, expected_value: E92000001, label: geography} + - {column: D, row: 1104, expected_value: All persons, label: sex} + - {column: E, row: 1104, expected_value: Self-employed, label: employment type} + - {column: J, row: 1104, expected_value: Value, label: measure} + - {column: L, row: 1105, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1106 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1106, expected_value: E92000001, label: geography} + - {column: D, row: 1106, expected_value: All persons, label: sex} + - {column: E, row: 1106, expected_value: Self-employed, label: employment type} + - {column: J, row: 1106, expected_value: Value, label: measure} + - {column: L, row: 1107, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1108 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1108, expected_value: E92000001, label: geography} + - {column: D, row: 1108, expected_value: All persons, label: sex} + - {column: E, row: 1108, expected_value: Self-employed, label: employment type} + - {column: J, row: 1108, expected_value: Value, label: measure} + - {column: L, row: 1109, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1110 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1110, expected_value: E92000001, label: geography} + - {column: D, row: 1110, expected_value: All persons, label: sex} + - {column: E, row: 1110, expected_value: Self-employed, label: employment type} + - {column: J, row: 1110, expected_value: Value, label: measure} + - {column: L, row: 1111, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1112 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1112, expected_value: E92000001, label: geography} + - {column: D, row: 1112, expected_value: All persons, label: sex} + - {column: E, row: 1112, expected_value: Self-employed, label: employment type} + - {column: J, row: 1112, expected_value: Value, label: measure} + - {column: L, row: 1113, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1114 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1114, expected_value: E92000001, label: geography} + - {column: D, row: 1114, expected_value: All persons, label: sex} + - {column: E, row: 1114, expected_value: Self-employed, label: employment type} + - {column: J, row: 1114, expected_value: Value, label: measure} + - {column: L, row: 1115, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1116 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1116, expected_value: E92000001, label: geography} + - {column: D, row: 1116, expected_value: All persons, label: sex} + - {column: E, row: 1116, expected_value: Self-employed, label: employment type} + - {column: J, row: 1116, expected_value: Value, label: measure} + - {column: L, row: 1117, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1118 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1118, expected_value: E92000001, label: geography} + - {column: D, row: 1118, expected_value: All persons, label: sex} + - {column: E, row: 1118, expected_value: Self-employed, label: employment type} + - {column: J, row: 1118, expected_value: Value, label: measure} + - {column: L, row: 1119, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1120 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1120, expected_value: E92000001, label: geography} + - {column: D, row: 1120, expected_value: All persons, label: sex} + - {column: E, row: 1120, expected_value: Self-employed, label: employment type} + - {column: J, row: 1120, expected_value: Value, label: measure} + - {column: L, row: 1121, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1122 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1122, expected_value: E92000001, label: geography} + - {column: D, row: 1122, expected_value: All persons, label: sex} + - {column: E, row: 1122, expected_value: Self-employed, label: employment type} + - {column: J, row: 1122, expected_value: Value, label: measure} + - {column: L, row: 1123, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1124 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1124, expected_value: E92000001, label: geography} + - {column: D, row: 1124, expected_value: All persons, label: sex} + - {column: E, row: 1124, expected_value: Self-employed, label: employment type} + - {column: J, row: 1124, expected_value: Value, label: measure} + - {column: L, row: 1125, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1126 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1126, expected_value: E92000001, label: geography} + - {column: D, row: 1126, expected_value: All persons, label: sex} + - {column: E, row: 1126, expected_value: Self-employed, label: employment type} + - {column: J, row: 1126, expected_value: Value, label: measure} + - {column: L, row: 1127, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1128 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1128, expected_value: E92000001, label: geography} + - {column: D, row: 1128, expected_value: All persons, label: sex} + - {column: E, row: 1128, expected_value: Self-employed, label: employment type} + - {column: J, row: 1128, expected_value: Value, label: measure} + - {column: L, row: 1129, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1130 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1130, expected_value: E92000001, label: geography} + - {column: D, row: 1130, expected_value: All persons, label: sex} + - {column: E, row: 1130, expected_value: Self-employed, label: employment type} + - {column: J, row: 1130, expected_value: Value, label: measure} + - {column: L, row: 1131, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1132 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1132, expected_value: E92000001, label: geography} + - {column: D, row: 1132, expected_value: All persons, label: sex} + - {column: E, row: 1132, expected_value: Self-employed, label: employment type} + - {column: J, row: 1132, expected_value: Value, label: measure} + - {column: L, row: 1133, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1136 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1136, expected_value: E92000001, label: geography} + - {column: D, row: 1136, expected_value: All persons, label: sex} + - {column: E, row: 1136, expected_value: Self-employed, label: employment type} + - {column: J, row: 1136, expected_value: Value, label: measure} + - {column: L, row: 1137, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1138 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1138, expected_value: E92000001, label: geography} + - {column: D, row: 1138, expected_value: All persons, label: sex} + - {column: E, row: 1138, expected_value: Self-employed, label: employment type} + - {column: J, row: 1138, expected_value: Value, label: measure} + - {column: L, row: 1139, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1140 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1140, expected_value: E92000001, label: geography} + - {column: D, row: 1140, expected_value: All persons, label: sex} + - {column: E, row: 1140, expected_value: Self-employed, label: employment type} + - {column: J, row: 1140, expected_value: Value, label: measure} + - {column: L, row: 1141, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1142 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1142, expected_value: E92000001, label: geography} + - {column: D, row: 1142, expected_value: All persons, label: sex} + - {column: E, row: 1142, expected_value: Self-employed, label: employment type} + - {column: J, row: 1142, expected_value: Value, label: measure} + - {column: L, row: 1143, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1144 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1144, expected_value: E92000001, label: geography} + - {column: D, row: 1144, expected_value: All persons, label: sex} + - {column: E, row: 1144, expected_value: Self-employed, label: employment type} + - {column: J, row: 1144, expected_value: Value, label: measure} + - {column: L, row: 1145, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1146 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1146, expected_value: E92000001, label: geography} + - {column: D, row: 1146, expected_value: All persons, label: sex} + - {column: E, row: 1146, expected_value: Self-employed, label: employment type} + - {column: J, row: 1146, expected_value: Value, label: measure} + - {column: L, row: 1147, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1148 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1148, expected_value: E92000001, label: geography} + - {column: D, row: 1148, expected_value: All persons, label: sex} + - {column: E, row: 1148, expected_value: Self-employed, label: employment type} + - {column: J, row: 1148, expected_value: Value, label: measure} + - {column: L, row: 1149, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1150 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1150, expected_value: E92000001, label: geography} + - {column: D, row: 1150, expected_value: All persons, label: sex} + - {column: E, row: 1150, expected_value: Self-employed, label: employment type} + - {column: J, row: 1150, expected_value: Value, label: measure} + - {column: L, row: 1151, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1152 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1152, expected_value: E92000001, label: geography} + - {column: D, row: 1152, expected_value: All persons, label: sex} + - {column: E, row: 1152, expected_value: Self-employed, label: employment type} + - {column: J, row: 1152, expected_value: Value, label: measure} + - {column: L, row: 1153, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1083 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1083, expected_value: E92000001, label: geography} + - {column: D, row: 1083, expected_value: All persons, label: sex} + - {column: E, row: 1083, expected_value: Self-employed, label: employment type} + - {column: J, row: 1083, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1085 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1085, expected_value: E92000001, label: geography} + - {column: D, row: 1085, expected_value: All persons, label: sex} + - {column: E, row: 1085, expected_value: Self-employed, label: employment type} + - {column: J, row: 1085, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1087 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1087, expected_value: E92000001, label: geography} + - {column: D, row: 1087, expected_value: All persons, label: sex} + - {column: E, row: 1087, expected_value: Self-employed, label: employment type} + - {column: J, row: 1087, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1089 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1089, expected_value: E92000001, label: geography} + - {column: D, row: 1089, expected_value: All persons, label: sex} + - {column: E, row: 1089, expected_value: Self-employed, label: employment type} + - {column: J, row: 1089, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1091 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1091, expected_value: E92000001, label: geography} + - {column: D, row: 1091, expected_value: All persons, label: sex} + - {column: E, row: 1091, expected_value: Self-employed, label: employment type} + - {column: J, row: 1091, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1093 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1093, expected_value: E92000001, label: geography} + - {column: D, row: 1093, expected_value: All persons, label: sex} + - {column: E, row: 1093, expected_value: Self-employed, label: employment type} + - {column: J, row: 1093, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1095 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1095, expected_value: E92000001, label: geography} + - {column: D, row: 1095, expected_value: All persons, label: sex} + - {column: E, row: 1095, expected_value: Self-employed, label: employment type} + - {column: J, row: 1095, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1097 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1097, expected_value: E92000001, label: geography} + - {column: D, row: 1097, expected_value: All persons, label: sex} + - {column: E, row: 1097, expected_value: Self-employed, label: employment type} + - {column: J, row: 1097, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1099 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1099, expected_value: E92000001, label: geography} + - {column: D, row: 1099, expected_value: All persons, label: sex} + - {column: E, row: 1099, expected_value: Self-employed, label: employment type} + - {column: J, row: 1099, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1101 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1101, expected_value: E92000001, label: geography} + - {column: D, row: 1101, expected_value: All persons, label: sex} + - {column: E, row: 1101, expected_value: Self-employed, label: employment type} + - {column: J, row: 1101, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1103 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1103, expected_value: E92000001, label: geography} + - {column: D, row: 1103, expected_value: All persons, label: sex} + - {column: E, row: 1103, expected_value: Self-employed, label: employment type} + - {column: J, row: 1103, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1105 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1105, expected_value: E92000001, label: geography} + - {column: D, row: 1105, expected_value: All persons, label: sex} + - {column: E, row: 1105, expected_value: Self-employed, label: employment type} + - {column: J, row: 1105, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1107 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1107, expected_value: E92000001, label: geography} + - {column: D, row: 1107, expected_value: All persons, label: sex} + - {column: E, row: 1107, expected_value: Self-employed, label: employment type} + - {column: J, row: 1107, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1109 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1109, expected_value: E92000001, label: geography} + - {column: D, row: 1109, expected_value: All persons, label: sex} + - {column: E, row: 1109, expected_value: Self-employed, label: employment type} + - {column: J, row: 1109, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1111 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1111, expected_value: E92000001, label: geography} + - {column: D, row: 1111, expected_value: All persons, label: sex} + - {column: E, row: 1111, expected_value: Self-employed, label: employment type} + - {column: J, row: 1111, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1113 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1113, expected_value: E92000001, label: geography} + - {column: D, row: 1113, expected_value: All persons, label: sex} + - {column: E, row: 1113, expected_value: Self-employed, label: employment type} + - {column: J, row: 1113, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1115 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1115, expected_value: E92000001, label: geography} + - {column: D, row: 1115, expected_value: All persons, label: sex} + - {column: E, row: 1115, expected_value: Self-employed, label: employment type} + - {column: J, row: 1115, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1117 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1117, expected_value: E92000001, label: geography} + - {column: D, row: 1117, expected_value: All persons, label: sex} + - {column: E, row: 1117, expected_value: Self-employed, label: employment type} + - {column: J, row: 1117, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1119 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1119, expected_value: E92000001, label: geography} + - {column: D, row: 1119, expected_value: All persons, label: sex} + - {column: E, row: 1119, expected_value: Self-employed, label: employment type} + - {column: J, row: 1119, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1121 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1121, expected_value: E92000001, label: geography} + - {column: D, row: 1121, expected_value: All persons, label: sex} + - {column: E, row: 1121, expected_value: Self-employed, label: employment type} + - {column: J, row: 1121, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1123 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1123, expected_value: E92000001, label: geography} + - {column: D, row: 1123, expected_value: All persons, label: sex} + - {column: E, row: 1123, expected_value: Self-employed, label: employment type} + - {column: J, row: 1123, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1125 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1125, expected_value: E92000001, label: geography} + - {column: D, row: 1125, expected_value: All persons, label: sex} + - {column: E, row: 1125, expected_value: Self-employed, label: employment type} + - {column: J, row: 1125, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1127 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1127, expected_value: E92000001, label: geography} + - {column: D, row: 1127, expected_value: All persons, label: sex} + - {column: E, row: 1127, expected_value: Self-employed, label: employment type} + - {column: J, row: 1127, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1129 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1129, expected_value: E92000001, label: geography} + - {column: D, row: 1129, expected_value: All persons, label: sex} + - {column: E, row: 1129, expected_value: Self-employed, label: employment type} + - {column: J, row: 1129, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1131 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1131, expected_value: E92000001, label: geography} + - {column: D, row: 1131, expected_value: All persons, label: sex} + - {column: E, row: 1131, expected_value: Self-employed, label: employment type} + - {column: J, row: 1131, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1133 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1133, expected_value: E92000001, label: geography} + - {column: D, row: 1133, expected_value: All persons, label: sex} + - {column: E, row: 1133, expected_value: Self-employed, label: employment type} + - {column: J, row: 1133, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1137 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1137, expected_value: E92000001, label: geography} + - {column: D, row: 1137, expected_value: All persons, label: sex} + - {column: E, row: 1137, expected_value: Self-employed, label: employment type} + - {column: J, row: 1137, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1139 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1139, expected_value: E92000001, label: geography} + - {column: D, row: 1139, expected_value: All persons, label: sex} + - {column: E, row: 1139, expected_value: Self-employed, label: employment type} + - {column: J, row: 1139, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1141 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1141, expected_value: E92000001, label: geography} + - {column: D, row: 1141, expected_value: All persons, label: sex} + - {column: E, row: 1141, expected_value: Self-employed, label: employment type} + - {column: J, row: 1141, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1143 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1143, expected_value: E92000001, label: geography} + - {column: D, row: 1143, expected_value: All persons, label: sex} + - {column: E, row: 1143, expected_value: Self-employed, label: employment type} + - {column: J, row: 1143, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1145 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1145, expected_value: E92000001, label: geography} + - {column: D, row: 1145, expected_value: All persons, label: sex} + - {column: E, row: 1145, expected_value: Self-employed, label: employment type} + - {column: J, row: 1145, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1147 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1147, expected_value: E92000001, label: geography} + - {column: D, row: 1147, expected_value: All persons, label: sex} + - {column: E, row: 1147, expected_value: Self-employed, label: employment type} + - {column: J, row: 1147, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1149 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1149, expected_value: E92000001, label: geography} + - {column: D, row: 1149, expected_value: All persons, label: sex} + - {column: E, row: 1149, expected_value: Self-employed, label: employment type} + - {column: J, row: 1149, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1151 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1151, expected_value: E92000001, label: geography} + - {column: D, row: 1151, expected_value: All persons, label: sex} + - {column: E, row: 1151, expected_value: Self-employed, label: employment type} + - {column: J, row: 1151, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1153 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1153, expected_value: E92000001, label: geography} + - {column: D, row: 1153, expected_value: All persons, label: sex} + - {column: E, row: 1153, expected_value: Self-employed, label: employment type} + - {column: J, row: 1153, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 722 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 722, expected_value: E92000001, label: geography} + - {column: D, row: 722, expected_value: Males, label: sex} + - {column: E, row: 722, expected_value: Total, label: employment type} + - {column: J, row: 722, expected_value: Value, label: measure} + - {column: L, row: 723, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 724 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 724, expected_value: E92000001, label: geography} + - {column: D, row: 724, expected_value: Males, label: sex} + - {column: E, row: 724, expected_value: Total, label: employment type} + - {column: J, row: 724, expected_value: Value, label: measure} + - {column: L, row: 725, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 726 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 726, expected_value: E92000001, label: geography} + - {column: D, row: 726, expected_value: Males, label: sex} + - {column: E, row: 726, expected_value: Total, label: employment type} + - {column: J, row: 726, expected_value: Value, label: measure} + - {column: L, row: 727, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 728 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 728, expected_value: E92000001, label: geography} + - {column: D, row: 728, expected_value: Males, label: sex} + - {column: E, row: 728, expected_value: Total, label: employment type} + - {column: J, row: 728, expected_value: Value, label: measure} + - {column: L, row: 729, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 730 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 730, expected_value: E92000001, label: geography} + - {column: D, row: 730, expected_value: Males, label: sex} + - {column: E, row: 730, expected_value: Total, label: employment type} + - {column: J, row: 730, expected_value: Value, label: measure} + - {column: L, row: 731, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 732 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 732, expected_value: E92000001, label: geography} + - {column: D, row: 732, expected_value: Males, label: sex} + - {column: E, row: 732, expected_value: Total, label: employment type} + - {column: J, row: 732, expected_value: Value, label: measure} + - {column: L, row: 733, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 734 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 734, expected_value: E92000001, label: geography} + - {column: D, row: 734, expected_value: Males, label: sex} + - {column: E, row: 734, expected_value: Total, label: employment type} + - {column: J, row: 734, expected_value: Value, label: measure} + - {column: L, row: 735, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 736 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 736, expected_value: E92000001, label: geography} + - {column: D, row: 736, expected_value: Males, label: sex} + - {column: E, row: 736, expected_value: Total, label: employment type} + - {column: J, row: 736, expected_value: Value, label: measure} + - {column: L, row: 737, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 738 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 738, expected_value: E92000001, label: geography} + - {column: D, row: 738, expected_value: Males, label: sex} + - {column: E, row: 738, expected_value: Total, label: employment type} + - {column: J, row: 738, expected_value: Value, label: measure} + - {column: L, row: 739, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 740 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 740, expected_value: E92000001, label: geography} + - {column: D, row: 740, expected_value: Males, label: sex} + - {column: E, row: 740, expected_value: Total, label: employment type} + - {column: J, row: 740, expected_value: Value, label: measure} + - {column: L, row: 741, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 742 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 742, expected_value: E92000001, label: geography} + - {column: D, row: 742, expected_value: Males, label: sex} + - {column: E, row: 742, expected_value: Total, label: employment type} + - {column: J, row: 742, expected_value: Value, label: measure} + - {column: L, row: 743, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 744 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 744, expected_value: E92000001, label: geography} + - {column: D, row: 744, expected_value: Males, label: sex} + - {column: E, row: 744, expected_value: Total, label: employment type} + - {column: J, row: 744, expected_value: Value, label: measure} + - {column: L, row: 745, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 746 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 746, expected_value: E92000001, label: geography} + - {column: D, row: 746, expected_value: Males, label: sex} + - {column: E, row: 746, expected_value: Total, label: employment type} + - {column: J, row: 746, expected_value: Value, label: measure} + - {column: L, row: 747, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 748 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 748, expected_value: E92000001, label: geography} + - {column: D, row: 748, expected_value: Males, label: sex} + - {column: E, row: 748, expected_value: Total, label: employment type} + - {column: J, row: 748, expected_value: Value, label: measure} + - {column: L, row: 749, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 750 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 750, expected_value: E92000001, label: geography} + - {column: D, row: 750, expected_value: Males, label: sex} + - {column: E, row: 750, expected_value: Total, label: employment type} + - {column: J, row: 750, expected_value: Value, label: measure} + - {column: L, row: 751, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 752 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 752, expected_value: E92000001, label: geography} + - {column: D, row: 752, expected_value: Males, label: sex} + - {column: E, row: 752, expected_value: Total, label: employment type} + - {column: J, row: 752, expected_value: Value, label: measure} + - {column: L, row: 753, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 754 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 754, expected_value: E92000001, label: geography} + - {column: D, row: 754, expected_value: Males, label: sex} + - {column: E, row: 754, expected_value: Total, label: employment type} + - {column: J, row: 754, expected_value: Value, label: measure} + - {column: L, row: 755, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 756 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 756, expected_value: E92000001, label: geography} + - {column: D, row: 756, expected_value: Males, label: sex} + - {column: E, row: 756, expected_value: Total, label: employment type} + - {column: J, row: 756, expected_value: Value, label: measure} + - {column: L, row: 757, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 758 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 758, expected_value: E92000001, label: geography} + - {column: D, row: 758, expected_value: Males, label: sex} + - {column: E, row: 758, expected_value: Total, label: employment type} + - {column: J, row: 758, expected_value: Value, label: measure} + - {column: L, row: 759, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 760 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 760, expected_value: E92000001, label: geography} + - {column: D, row: 760, expected_value: Males, label: sex} + - {column: E, row: 760, expected_value: Total, label: employment type} + - {column: J, row: 760, expected_value: Value, label: measure} + - {column: L, row: 761, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 762 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 762, expected_value: E92000001, label: geography} + - {column: D, row: 762, expected_value: Males, label: sex} + - {column: E, row: 762, expected_value: Total, label: employment type} + - {column: J, row: 762, expected_value: Value, label: measure} + - {column: L, row: 763, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 764 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 764, expected_value: E92000001, label: geography} + - {column: D, row: 764, expected_value: Males, label: sex} + - {column: E, row: 764, expected_value: Total, label: employment type} + - {column: J, row: 764, expected_value: Value, label: measure} + - {column: L, row: 765, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 766 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 766, expected_value: E92000001, label: geography} + - {column: D, row: 766, expected_value: Males, label: sex} + - {column: E, row: 766, expected_value: Total, label: employment type} + - {column: J, row: 766, expected_value: Value, label: measure} + - {column: L, row: 767, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 768 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 768, expected_value: E92000001, label: geography} + - {column: D, row: 768, expected_value: Males, label: sex} + - {column: E, row: 768, expected_value: Total, label: employment type} + - {column: J, row: 768, expected_value: Value, label: measure} + - {column: L, row: 769, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 770 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 770, expected_value: E92000001, label: geography} + - {column: D, row: 770, expected_value: Males, label: sex} + - {column: E, row: 770, expected_value: Total, label: employment type} + - {column: J, row: 770, expected_value: Value, label: measure} + - {column: L, row: 771, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 772 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 772, expected_value: E92000001, label: geography} + - {column: D, row: 772, expected_value: Males, label: sex} + - {column: E, row: 772, expected_value: Total, label: employment type} + - {column: J, row: 772, expected_value: Value, label: measure} + - {column: L, row: 773, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 774 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 774, expected_value: E92000001, label: geography} + - {column: D, row: 774, expected_value: Males, label: sex} + - {column: E, row: 774, expected_value: Total, label: employment type} + - {column: J, row: 774, expected_value: Value, label: measure} + - {column: L, row: 775, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 776 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 776, expected_value: E92000001, label: geography} + - {column: D, row: 776, expected_value: Males, label: sex} + - {column: E, row: 776, expected_value: Total, label: employment type} + - {column: J, row: 776, expected_value: Value, label: measure} + - {column: L, row: 777, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 778 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 778, expected_value: E92000001, label: geography} + - {column: D, row: 778, expected_value: Males, label: sex} + - {column: E, row: 778, expected_value: Total, label: employment type} + - {column: J, row: 778, expected_value: Value, label: measure} + - {column: L, row: 779, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 780 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 780, expected_value: E92000001, label: geography} + - {column: D, row: 780, expected_value: Males, label: sex} + - {column: E, row: 780, expected_value: Total, label: employment type} + - {column: J, row: 780, expected_value: Value, label: measure} + - {column: L, row: 781, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 782 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 782, expected_value: E92000001, label: geography} + - {column: D, row: 782, expected_value: Males, label: sex} + - {column: E, row: 782, expected_value: Total, label: employment type} + - {column: J, row: 782, expected_value: Value, label: measure} + - {column: L, row: 783, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 784 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 784, expected_value: E92000001, label: geography} + - {column: D, row: 784, expected_value: Males, label: sex} + - {column: E, row: 784, expected_value: Total, label: employment type} + - {column: J, row: 784, expected_value: Value, label: measure} + - {column: L, row: 785, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 786 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 786, expected_value: E92000001, label: geography} + - {column: D, row: 786, expected_value: Males, label: sex} + - {column: E, row: 786, expected_value: Total, label: employment type} + - {column: J, row: 786, expected_value: Value, label: measure} + - {column: L, row: 787, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 788 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 788, expected_value: E92000001, label: geography} + - {column: D, row: 788, expected_value: Males, label: sex} + - {column: E, row: 788, expected_value: Total, label: employment type} + - {column: J, row: 788, expected_value: Value, label: measure} + - {column: L, row: 789, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 790 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 790, expected_value: E92000001, label: geography} + - {column: D, row: 790, expected_value: Males, label: sex} + - {column: E, row: 790, expected_value: Total, label: employment type} + - {column: J, row: 790, expected_value: Value, label: measure} + - {column: L, row: 791, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 792 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 792, expected_value: E92000001, label: geography} + - {column: D, row: 792, expected_value: Males, label: sex} + - {column: E, row: 792, expected_value: Total, label: employment type} + - {column: J, row: 792, expected_value: Value, label: measure} + - {column: L, row: 793, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 723 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 723, expected_value: E92000001, label: geography} + - {column: D, row: 723, expected_value: Males, label: sex} + - {column: E, row: 723, expected_value: Total, label: employment type} + - {column: J, row: 723, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 725 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 725, expected_value: E92000001, label: geography} + - {column: D, row: 725, expected_value: Males, label: sex} + - {column: E, row: 725, expected_value: Total, label: employment type} + - {column: J, row: 725, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 727 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 727, expected_value: E92000001, label: geography} + - {column: D, row: 727, expected_value: Males, label: sex} + - {column: E, row: 727, expected_value: Total, label: employment type} + - {column: J, row: 727, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 729 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 729, expected_value: E92000001, label: geography} + - {column: D, row: 729, expected_value: Males, label: sex} + - {column: E, row: 729, expected_value: Total, label: employment type} + - {column: J, row: 729, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 731 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 731, expected_value: E92000001, label: geography} + - {column: D, row: 731, expected_value: Males, label: sex} + - {column: E, row: 731, expected_value: Total, label: employment type} + - {column: J, row: 731, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 733 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 733, expected_value: E92000001, label: geography} + - {column: D, row: 733, expected_value: Males, label: sex} + - {column: E, row: 733, expected_value: Total, label: employment type} + - {column: J, row: 733, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 735 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 735, expected_value: E92000001, label: geography} + - {column: D, row: 735, expected_value: Males, label: sex} + - {column: E, row: 735, expected_value: Total, label: employment type} + - {column: J, row: 735, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 737 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 737, expected_value: E92000001, label: geography} + - {column: D, row: 737, expected_value: Males, label: sex} + - {column: E, row: 737, expected_value: Total, label: employment type} + - {column: J, row: 737, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 739 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 739, expected_value: E92000001, label: geography} + - {column: D, row: 739, expected_value: Males, label: sex} + - {column: E, row: 739, expected_value: Total, label: employment type} + - {column: J, row: 739, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 741 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 741, expected_value: E92000001, label: geography} + - {column: D, row: 741, expected_value: Males, label: sex} + - {column: E, row: 741, expected_value: Total, label: employment type} + - {column: J, row: 741, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 743 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 743, expected_value: E92000001, label: geography} + - {column: D, row: 743, expected_value: Males, label: sex} + - {column: E, row: 743, expected_value: Total, label: employment type} + - {column: J, row: 743, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 745 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 745, expected_value: E92000001, label: geography} + - {column: D, row: 745, expected_value: Males, label: sex} + - {column: E, row: 745, expected_value: Total, label: employment type} + - {column: J, row: 745, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 747 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 747, expected_value: E92000001, label: geography} + - {column: D, row: 747, expected_value: Males, label: sex} + - {column: E, row: 747, expected_value: Total, label: employment type} + - {column: J, row: 747, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 749 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 749, expected_value: E92000001, label: geography} + - {column: D, row: 749, expected_value: Males, label: sex} + - {column: E, row: 749, expected_value: Total, label: employment type} + - {column: J, row: 749, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 751 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 751, expected_value: E92000001, label: geography} + - {column: D, row: 751, expected_value: Males, label: sex} + - {column: E, row: 751, expected_value: Total, label: employment type} + - {column: J, row: 751, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 753 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 753, expected_value: E92000001, label: geography} + - {column: D, row: 753, expected_value: Males, label: sex} + - {column: E, row: 753, expected_value: Total, label: employment type} + - {column: J, row: 753, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 755 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 755, expected_value: E92000001, label: geography} + - {column: D, row: 755, expected_value: Males, label: sex} + - {column: E, row: 755, expected_value: Total, label: employment type} + - {column: J, row: 755, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 757 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 757, expected_value: E92000001, label: geography} + - {column: D, row: 757, expected_value: Males, label: sex} + - {column: E, row: 757, expected_value: Total, label: employment type} + - {column: J, row: 757, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 759 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 759, expected_value: E92000001, label: geography} + - {column: D, row: 759, expected_value: Males, label: sex} + - {column: E, row: 759, expected_value: Total, label: employment type} + - {column: J, row: 759, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 761 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 761, expected_value: E92000001, label: geography} + - {column: D, row: 761, expected_value: Males, label: sex} + - {column: E, row: 761, expected_value: Total, label: employment type} + - {column: J, row: 761, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 763 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 763, expected_value: E92000001, label: geography} + - {column: D, row: 763, expected_value: Males, label: sex} + - {column: E, row: 763, expected_value: Total, label: employment type} + - {column: J, row: 763, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 765 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 765, expected_value: E92000001, label: geography} + - {column: D, row: 765, expected_value: Males, label: sex} + - {column: E, row: 765, expected_value: Total, label: employment type} + - {column: J, row: 765, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 767 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 767, expected_value: E92000001, label: geography} + - {column: D, row: 767, expected_value: Males, label: sex} + - {column: E, row: 767, expected_value: Total, label: employment type} + - {column: J, row: 767, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 769 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 769, expected_value: E92000001, label: geography} + - {column: D, row: 769, expected_value: Males, label: sex} + - {column: E, row: 769, expected_value: Total, label: employment type} + - {column: J, row: 769, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 771 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 771, expected_value: E92000001, label: geography} + - {column: D, row: 771, expected_value: Males, label: sex} + - {column: E, row: 771, expected_value: Total, label: employment type} + - {column: J, row: 771, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 773 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 773, expected_value: E92000001, label: geography} + - {column: D, row: 773, expected_value: Males, label: sex} + - {column: E, row: 773, expected_value: Total, label: employment type} + - {column: J, row: 773, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 775 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 775, expected_value: E92000001, label: geography} + - {column: D, row: 775, expected_value: Males, label: sex} + - {column: E, row: 775, expected_value: Total, label: employment type} + - {column: J, row: 775, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 777 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 777, expected_value: E92000001, label: geography} + - {column: D, row: 777, expected_value: Males, label: sex} + - {column: E, row: 777, expected_value: Total, label: employment type} + - {column: J, row: 777, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 779 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 779, expected_value: E92000001, label: geography} + - {column: D, row: 779, expected_value: Males, label: sex} + - {column: E, row: 779, expected_value: Total, label: employment type} + - {column: J, row: 779, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 781 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 781, expected_value: E92000001, label: geography} + - {column: D, row: 781, expected_value: Males, label: sex} + - {column: E, row: 781, expected_value: Total, label: employment type} + - {column: J, row: 781, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 783 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 783, expected_value: E92000001, label: geography} + - {column: D, row: 783, expected_value: Males, label: sex} + - {column: E, row: 783, expected_value: Total, label: employment type} + - {column: J, row: 783, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 785 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 785, expected_value: E92000001, label: geography} + - {column: D, row: 785, expected_value: Males, label: sex} + - {column: E, row: 785, expected_value: Total, label: employment type} + - {column: J, row: 785, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 787 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 787, expected_value: E92000001, label: geography} + - {column: D, row: 787, expected_value: Males, label: sex} + - {column: E, row: 787, expected_value: Total, label: employment type} + - {column: J, row: 787, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 789 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 789, expected_value: E92000001, label: geography} + - {column: D, row: 789, expected_value: Males, label: sex} + - {column: E, row: 789, expected_value: Total, label: employment type} + - {column: J, row: 789, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 791 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 791, expected_value: E92000001, label: geography} + - {column: D, row: 791, expected_value: Males, label: sex} + - {column: E, row: 791, expected_value: Total, label: employment type} + - {column: J, row: 791, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 793 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 793, expected_value: E92000001, label: geography} + - {column: D, row: 793, expected_value: Males, label: sex} + - {column: E, row: 793, expected_value: Total, label: employment type} + - {column: J, row: 793, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 938 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 938, expected_value: E92000001, label: geography} + - {column: D, row: 938, expected_value: Males, label: sex} + - {column: E, row: 938, expected_value: Employee, label: employment type} + - {column: J, row: 938, expected_value: Value, label: measure} + - {column: L, row: 939, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 940 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 940, expected_value: E92000001, label: geography} + - {column: D, row: 940, expected_value: Males, label: sex} + - {column: E, row: 940, expected_value: Employee, label: employment type} + - {column: J, row: 940, expected_value: Value, label: measure} + - {column: L, row: 941, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 942 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 942, expected_value: E92000001, label: geography} + - {column: D, row: 942, expected_value: Males, label: sex} + - {column: E, row: 942, expected_value: Employee, label: employment type} + - {column: J, row: 942, expected_value: Value, label: measure} + - {column: L, row: 943, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 944 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 944, expected_value: E92000001, label: geography} + - {column: D, row: 944, expected_value: Males, label: sex} + - {column: E, row: 944, expected_value: Employee, label: employment type} + - {column: J, row: 944, expected_value: Value, label: measure} + - {column: L, row: 945, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 946 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 946, expected_value: E92000001, label: geography} + - {column: D, row: 946, expected_value: Males, label: sex} + - {column: E, row: 946, expected_value: Employee, label: employment type} + - {column: J, row: 946, expected_value: Value, label: measure} + - {column: L, row: 947, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 948 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 948, expected_value: E92000001, label: geography} + - {column: D, row: 948, expected_value: Males, label: sex} + - {column: E, row: 948, expected_value: Employee, label: employment type} + - {column: J, row: 948, expected_value: Value, label: measure} + - {column: L, row: 949, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 950 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 950, expected_value: E92000001, label: geography} + - {column: D, row: 950, expected_value: Males, label: sex} + - {column: E, row: 950, expected_value: Employee, label: employment type} + - {column: J, row: 950, expected_value: Value, label: measure} + - {column: L, row: 951, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 952 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 952, expected_value: E92000001, label: geography} + - {column: D, row: 952, expected_value: Males, label: sex} + - {column: E, row: 952, expected_value: Employee, label: employment type} + - {column: J, row: 952, expected_value: Value, label: measure} + - {column: L, row: 953, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 954 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 954, expected_value: E92000001, label: geography} + - {column: D, row: 954, expected_value: Males, label: sex} + - {column: E, row: 954, expected_value: Employee, label: employment type} + - {column: J, row: 954, expected_value: Value, label: measure} + - {column: L, row: 955, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 956 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 956, expected_value: E92000001, label: geography} + - {column: D, row: 956, expected_value: Males, label: sex} + - {column: E, row: 956, expected_value: Employee, label: employment type} + - {column: J, row: 956, expected_value: Value, label: measure} + - {column: L, row: 957, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 958 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 958, expected_value: E92000001, label: geography} + - {column: D, row: 958, expected_value: Males, label: sex} + - {column: E, row: 958, expected_value: Employee, label: employment type} + - {column: J, row: 958, expected_value: Value, label: measure} + - {column: L, row: 959, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 960 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 960, expected_value: E92000001, label: geography} + - {column: D, row: 960, expected_value: Males, label: sex} + - {column: E, row: 960, expected_value: Employee, label: employment type} + - {column: J, row: 960, expected_value: Value, label: measure} + - {column: L, row: 961, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 962 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 962, expected_value: E92000001, label: geography} + - {column: D, row: 962, expected_value: Males, label: sex} + - {column: E, row: 962, expected_value: Employee, label: employment type} + - {column: J, row: 962, expected_value: Value, label: measure} + - {column: L, row: 963, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 964 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 964, expected_value: E92000001, label: geography} + - {column: D, row: 964, expected_value: Males, label: sex} + - {column: E, row: 964, expected_value: Employee, label: employment type} + - {column: J, row: 964, expected_value: Value, label: measure} + - {column: L, row: 965, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 966 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 966, expected_value: E92000001, label: geography} + - {column: D, row: 966, expected_value: Males, label: sex} + - {column: E, row: 966, expected_value: Employee, label: employment type} + - {column: J, row: 966, expected_value: Value, label: measure} + - {column: L, row: 967, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 968 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 968, expected_value: E92000001, label: geography} + - {column: D, row: 968, expected_value: Males, label: sex} + - {column: E, row: 968, expected_value: Employee, label: employment type} + - {column: J, row: 968, expected_value: Value, label: measure} + - {column: L, row: 969, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 970 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 970, expected_value: E92000001, label: geography} + - {column: D, row: 970, expected_value: Males, label: sex} + - {column: E, row: 970, expected_value: Employee, label: employment type} + - {column: J, row: 970, expected_value: Value, label: measure} + - {column: L, row: 971, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 972 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 972, expected_value: E92000001, label: geography} + - {column: D, row: 972, expected_value: Males, label: sex} + - {column: E, row: 972, expected_value: Employee, label: employment type} + - {column: J, row: 972, expected_value: Value, label: measure} + - {column: L, row: 973, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 974 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 974, expected_value: E92000001, label: geography} + - {column: D, row: 974, expected_value: Males, label: sex} + - {column: E, row: 974, expected_value: Employee, label: employment type} + - {column: J, row: 974, expected_value: Value, label: measure} + - {column: L, row: 975, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 976 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 976, expected_value: E92000001, label: geography} + - {column: D, row: 976, expected_value: Males, label: sex} + - {column: E, row: 976, expected_value: Employee, label: employment type} + - {column: J, row: 976, expected_value: Value, label: measure} + - {column: L, row: 977, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 978 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 978, expected_value: E92000001, label: geography} + - {column: D, row: 978, expected_value: Males, label: sex} + - {column: E, row: 978, expected_value: Employee, label: employment type} + - {column: J, row: 978, expected_value: Value, label: measure} + - {column: L, row: 979, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 980 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 980, expected_value: E92000001, label: geography} + - {column: D, row: 980, expected_value: Males, label: sex} + - {column: E, row: 980, expected_value: Employee, label: employment type} + - {column: J, row: 980, expected_value: Value, label: measure} + - {column: L, row: 981, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 982 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 982, expected_value: E92000001, label: geography} + - {column: D, row: 982, expected_value: Males, label: sex} + - {column: E, row: 982, expected_value: Employee, label: employment type} + - {column: J, row: 982, expected_value: Value, label: measure} + - {column: L, row: 983, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 984 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 984, expected_value: E92000001, label: geography} + - {column: D, row: 984, expected_value: Males, label: sex} + - {column: E, row: 984, expected_value: Employee, label: employment type} + - {column: J, row: 984, expected_value: Value, label: measure} + - {column: L, row: 985, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 986 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 986, expected_value: E92000001, label: geography} + - {column: D, row: 986, expected_value: Males, label: sex} + - {column: E, row: 986, expected_value: Employee, label: employment type} + - {column: J, row: 986, expected_value: Value, label: measure} + - {column: L, row: 987, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 988 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 988, expected_value: E92000001, label: geography} + - {column: D, row: 988, expected_value: Males, label: sex} + - {column: E, row: 988, expected_value: Employee, label: employment type} + - {column: J, row: 988, expected_value: Value, label: measure} + - {column: L, row: 989, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 990 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 990, expected_value: E92000001, label: geography} + - {column: D, row: 990, expected_value: Males, label: sex} + - {column: E, row: 990, expected_value: Employee, label: employment type} + - {column: J, row: 990, expected_value: Value, label: measure} + - {column: L, row: 991, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 992 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 992, expected_value: E92000001, label: geography} + - {column: D, row: 992, expected_value: Males, label: sex} + - {column: E, row: 992, expected_value: Employee, label: employment type} + - {column: J, row: 992, expected_value: Value, label: measure} + - {column: L, row: 993, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 994 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 994, expected_value: E92000001, label: geography} + - {column: D, row: 994, expected_value: Males, label: sex} + - {column: E, row: 994, expected_value: Employee, label: employment type} + - {column: J, row: 994, expected_value: Value, label: measure} + - {column: L, row: 995, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 996 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 996, expected_value: E92000001, label: geography} + - {column: D, row: 996, expected_value: Males, label: sex} + - {column: E, row: 996, expected_value: Employee, label: employment type} + - {column: J, row: 996, expected_value: Value, label: measure} + - {column: L, row: 997, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 998 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 998, expected_value: E92000001, label: geography} + - {column: D, row: 998, expected_value: Males, label: sex} + - {column: E, row: 998, expected_value: Employee, label: employment type} + - {column: J, row: 998, expected_value: Value, label: measure} + - {column: L, row: 999, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1000 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1000, expected_value: E92000001, label: geography} + - {column: D, row: 1000, expected_value: Males, label: sex} + - {column: E, row: 1000, expected_value: Employee, label: employment type} + - {column: J, row: 1000, expected_value: Value, label: measure} + - {column: L, row: 1001, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1002 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1002, expected_value: E92000001, label: geography} + - {column: D, row: 1002, expected_value: Males, label: sex} + - {column: E, row: 1002, expected_value: Employee, label: employment type} + - {column: J, row: 1002, expected_value: Value, label: measure} + - {column: L, row: 1003, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1004 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1004, expected_value: E92000001, label: geography} + - {column: D, row: 1004, expected_value: Males, label: sex} + - {column: E, row: 1004, expected_value: Employee, label: employment type} + - {column: J, row: 1004, expected_value: Value, label: measure} + - {column: L, row: 1005, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1006 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1006, expected_value: E92000001, label: geography} + - {column: D, row: 1006, expected_value: Males, label: sex} + - {column: E, row: 1006, expected_value: Employee, label: employment type} + - {column: J, row: 1006, expected_value: Value, label: measure} + - {column: L, row: 1007, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1008 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1008, expected_value: E92000001, label: geography} + - {column: D, row: 1008, expected_value: Males, label: sex} + - {column: E, row: 1008, expected_value: Employee, label: employment type} + - {column: J, row: 1008, expected_value: Value, label: measure} + - {column: L, row: 1009, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 939 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 939, expected_value: E92000001, label: geography} + - {column: D, row: 939, expected_value: Males, label: sex} + - {column: E, row: 939, expected_value: Employee, label: employment type} + - {column: J, row: 939, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 941 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 941, expected_value: E92000001, label: geography} + - {column: D, row: 941, expected_value: Males, label: sex} + - {column: E, row: 941, expected_value: Employee, label: employment type} + - {column: J, row: 941, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 943 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 943, expected_value: E92000001, label: geography} + - {column: D, row: 943, expected_value: Males, label: sex} + - {column: E, row: 943, expected_value: Employee, label: employment type} + - {column: J, row: 943, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 945 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 945, expected_value: E92000001, label: geography} + - {column: D, row: 945, expected_value: Males, label: sex} + - {column: E, row: 945, expected_value: Employee, label: employment type} + - {column: J, row: 945, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 947 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 947, expected_value: E92000001, label: geography} + - {column: D, row: 947, expected_value: Males, label: sex} + - {column: E, row: 947, expected_value: Employee, label: employment type} + - {column: J, row: 947, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 949 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 949, expected_value: E92000001, label: geography} + - {column: D, row: 949, expected_value: Males, label: sex} + - {column: E, row: 949, expected_value: Employee, label: employment type} + - {column: J, row: 949, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 951 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 951, expected_value: E92000001, label: geography} + - {column: D, row: 951, expected_value: Males, label: sex} + - {column: E, row: 951, expected_value: Employee, label: employment type} + - {column: J, row: 951, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 953 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 953, expected_value: E92000001, label: geography} + - {column: D, row: 953, expected_value: Males, label: sex} + - {column: E, row: 953, expected_value: Employee, label: employment type} + - {column: J, row: 953, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 955 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 955, expected_value: E92000001, label: geography} + - {column: D, row: 955, expected_value: Males, label: sex} + - {column: E, row: 955, expected_value: Employee, label: employment type} + - {column: J, row: 955, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 957 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 957, expected_value: E92000001, label: geography} + - {column: D, row: 957, expected_value: Males, label: sex} + - {column: E, row: 957, expected_value: Employee, label: employment type} + - {column: J, row: 957, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 959 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 959, expected_value: E92000001, label: geography} + - {column: D, row: 959, expected_value: Males, label: sex} + - {column: E, row: 959, expected_value: Employee, label: employment type} + - {column: J, row: 959, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 961 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 961, expected_value: E92000001, label: geography} + - {column: D, row: 961, expected_value: Males, label: sex} + - {column: E, row: 961, expected_value: Employee, label: employment type} + - {column: J, row: 961, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 963 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 963, expected_value: E92000001, label: geography} + - {column: D, row: 963, expected_value: Males, label: sex} + - {column: E, row: 963, expected_value: Employee, label: employment type} + - {column: J, row: 963, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 965 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 965, expected_value: E92000001, label: geography} + - {column: D, row: 965, expected_value: Males, label: sex} + - {column: E, row: 965, expected_value: Employee, label: employment type} + - {column: J, row: 965, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 967 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 967, expected_value: E92000001, label: geography} + - {column: D, row: 967, expected_value: Males, label: sex} + - {column: E, row: 967, expected_value: Employee, label: employment type} + - {column: J, row: 967, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 969 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 969, expected_value: E92000001, label: geography} + - {column: D, row: 969, expected_value: Males, label: sex} + - {column: E, row: 969, expected_value: Employee, label: employment type} + - {column: J, row: 969, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 971 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 971, expected_value: E92000001, label: geography} + - {column: D, row: 971, expected_value: Males, label: sex} + - {column: E, row: 971, expected_value: Employee, label: employment type} + - {column: J, row: 971, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 973 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 973, expected_value: E92000001, label: geography} + - {column: D, row: 973, expected_value: Males, label: sex} + - {column: E, row: 973, expected_value: Employee, label: employment type} + - {column: J, row: 973, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 975 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 975, expected_value: E92000001, label: geography} + - {column: D, row: 975, expected_value: Males, label: sex} + - {column: E, row: 975, expected_value: Employee, label: employment type} + - {column: J, row: 975, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 977 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 977, expected_value: E92000001, label: geography} + - {column: D, row: 977, expected_value: Males, label: sex} + - {column: E, row: 977, expected_value: Employee, label: employment type} + - {column: J, row: 977, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 979 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 979, expected_value: E92000001, label: geography} + - {column: D, row: 979, expected_value: Males, label: sex} + - {column: E, row: 979, expected_value: Employee, label: employment type} + - {column: J, row: 979, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 981 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 981, expected_value: E92000001, label: geography} + - {column: D, row: 981, expected_value: Males, label: sex} + - {column: E, row: 981, expected_value: Employee, label: employment type} + - {column: J, row: 981, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 983 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 983, expected_value: E92000001, label: geography} + - {column: D, row: 983, expected_value: Males, label: sex} + - {column: E, row: 983, expected_value: Employee, label: employment type} + - {column: J, row: 983, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 985 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 985, expected_value: E92000001, label: geography} + - {column: D, row: 985, expected_value: Males, label: sex} + - {column: E, row: 985, expected_value: Employee, label: employment type} + - {column: J, row: 985, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 987 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 987, expected_value: E92000001, label: geography} + - {column: D, row: 987, expected_value: Males, label: sex} + - {column: E, row: 987, expected_value: Employee, label: employment type} + - {column: J, row: 987, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 989 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 989, expected_value: E92000001, label: geography} + - {column: D, row: 989, expected_value: Males, label: sex} + - {column: E, row: 989, expected_value: Employee, label: employment type} + - {column: J, row: 989, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 991 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 991, expected_value: E92000001, label: geography} + - {column: D, row: 991, expected_value: Males, label: sex} + - {column: E, row: 991, expected_value: Employee, label: employment type} + - {column: J, row: 991, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 993 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 993, expected_value: E92000001, label: geography} + - {column: D, row: 993, expected_value: Males, label: sex} + - {column: E, row: 993, expected_value: Employee, label: employment type} + - {column: J, row: 993, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 995 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 995, expected_value: E92000001, label: geography} + - {column: D, row: 995, expected_value: Males, label: sex} + - {column: E, row: 995, expected_value: Employee, label: employment type} + - {column: J, row: 995, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 997 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 997, expected_value: E92000001, label: geography} + - {column: D, row: 997, expected_value: Males, label: sex} + - {column: E, row: 997, expected_value: Employee, label: employment type} + - {column: J, row: 997, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 999 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 999, expected_value: E92000001, label: geography} + - {column: D, row: 999, expected_value: Males, label: sex} + - {column: E, row: 999, expected_value: Employee, label: employment type} + - {column: J, row: 999, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1001 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1001, expected_value: E92000001, label: geography} + - {column: D, row: 1001, expected_value: Males, label: sex} + - {column: E, row: 1001, expected_value: Employee, label: employment type} + - {column: J, row: 1001, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1003 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1003, expected_value: E92000001, label: geography} + - {column: D, row: 1003, expected_value: Males, label: sex} + - {column: E, row: 1003, expected_value: Employee, label: employment type} + - {column: J, row: 1003, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1005 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1005, expected_value: E92000001, label: geography} + - {column: D, row: 1005, expected_value: Males, label: sex} + - {column: E, row: 1005, expected_value: Employee, label: employment type} + - {column: J, row: 1005, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1007 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1007, expected_value: E92000001, label: geography} + - {column: D, row: 1007, expected_value: Males, label: sex} + - {column: E, row: 1007, expected_value: Employee, label: employment type} + - {column: J, row: 1007, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1009 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1009, expected_value: E92000001, label: geography} + - {column: D, row: 1009, expected_value: Males, label: sex} + - {column: E, row: 1009, expected_value: Employee, label: employment type} + - {column: J, row: 1009, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1154 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1154, expected_value: E92000001, label: geography} + - {column: D, row: 1154, expected_value: Males, label: sex} + - {column: E, row: 1154, expected_value: Self-employed, label: employment type} + - {column: J, row: 1154, expected_value: Value, label: measure} + - {column: L, row: 1155, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1156 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1156, expected_value: E92000001, label: geography} + - {column: D, row: 1156, expected_value: Males, label: sex} + - {column: E, row: 1156, expected_value: Self-employed, label: employment type} + - {column: J, row: 1156, expected_value: Value, label: measure} + - {column: L, row: 1157, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1158 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1158, expected_value: E92000001, label: geography} + - {column: D, row: 1158, expected_value: Males, label: sex} + - {column: E, row: 1158, expected_value: Self-employed, label: employment type} + - {column: J, row: 1158, expected_value: Value, label: measure} + - {column: L, row: 1159, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1160 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1160, expected_value: E92000001, label: geography} + - {column: D, row: 1160, expected_value: Males, label: sex} + - {column: E, row: 1160, expected_value: Self-employed, label: employment type} + - {column: J, row: 1160, expected_value: Value, label: measure} + - {column: L, row: 1161, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1162 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1162, expected_value: E92000001, label: geography} + - {column: D, row: 1162, expected_value: Males, label: sex} + - {column: E, row: 1162, expected_value: Self-employed, label: employment type} + - {column: J, row: 1162, expected_value: Value, label: measure} + - {column: L, row: 1163, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1164 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1164, expected_value: E92000001, label: geography} + - {column: D, row: 1164, expected_value: Males, label: sex} + - {column: E, row: 1164, expected_value: Self-employed, label: employment type} + - {column: J, row: 1164, expected_value: Value, label: measure} + - {column: L, row: 1165, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1166 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1166, expected_value: E92000001, label: geography} + - {column: D, row: 1166, expected_value: Males, label: sex} + - {column: E, row: 1166, expected_value: Self-employed, label: employment type} + - {column: J, row: 1166, expected_value: Value, label: measure} + - {column: L, row: 1167, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1168 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1168, expected_value: E92000001, label: geography} + - {column: D, row: 1168, expected_value: Males, label: sex} + - {column: E, row: 1168, expected_value: Self-employed, label: employment type} + - {column: J, row: 1168, expected_value: Value, label: measure} + - {column: L, row: 1169, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1170 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1170, expected_value: E92000001, label: geography} + - {column: D, row: 1170, expected_value: Males, label: sex} + - {column: E, row: 1170, expected_value: Self-employed, label: employment type} + - {column: J, row: 1170, expected_value: Value, label: measure} + - {column: L, row: 1171, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1172 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1172, expected_value: E92000001, label: geography} + - {column: D, row: 1172, expected_value: Males, label: sex} + - {column: E, row: 1172, expected_value: Self-employed, label: employment type} + - {column: J, row: 1172, expected_value: Value, label: measure} + - {column: L, row: 1173, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1174 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1174, expected_value: E92000001, label: geography} + - {column: D, row: 1174, expected_value: Males, label: sex} + - {column: E, row: 1174, expected_value: Self-employed, label: employment type} + - {column: J, row: 1174, expected_value: Value, label: measure} + - {column: L, row: 1175, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1176 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1176, expected_value: E92000001, label: geography} + - {column: D, row: 1176, expected_value: Males, label: sex} + - {column: E, row: 1176, expected_value: Self-employed, label: employment type} + - {column: J, row: 1176, expected_value: Value, label: measure} + - {column: L, row: 1177, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1178 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1178, expected_value: E92000001, label: geography} + - {column: D, row: 1178, expected_value: Males, label: sex} + - {column: E, row: 1178, expected_value: Self-employed, label: employment type} + - {column: J, row: 1178, expected_value: Value, label: measure} + - {column: L, row: 1179, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1180 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1180, expected_value: E92000001, label: geography} + - {column: D, row: 1180, expected_value: Males, label: sex} + - {column: E, row: 1180, expected_value: Self-employed, label: employment type} + - {column: J, row: 1180, expected_value: Value, label: measure} + - {column: L, row: 1181, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1182 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1182, expected_value: E92000001, label: geography} + - {column: D, row: 1182, expected_value: Males, label: sex} + - {column: E, row: 1182, expected_value: Self-employed, label: employment type} + - {column: J, row: 1182, expected_value: Value, label: measure} + - {column: L, row: 1183, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1184 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1184, expected_value: E92000001, label: geography} + - {column: D, row: 1184, expected_value: Males, label: sex} + - {column: E, row: 1184, expected_value: Self-employed, label: employment type} + - {column: J, row: 1184, expected_value: Value, label: measure} + - {column: L, row: 1185, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1186 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1186, expected_value: E92000001, label: geography} + - {column: D, row: 1186, expected_value: Males, label: sex} + - {column: E, row: 1186, expected_value: Self-employed, label: employment type} + - {column: J, row: 1186, expected_value: Value, label: measure} + - {column: L, row: 1187, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1190 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1190, expected_value: E92000001, label: geography} + - {column: D, row: 1190, expected_value: Males, label: sex} + - {column: E, row: 1190, expected_value: Self-employed, label: employment type} + - {column: J, row: 1190, expected_value: Value, label: measure} + - {column: L, row: 1191, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1192 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1192, expected_value: E92000001, label: geography} + - {column: D, row: 1192, expected_value: Males, label: sex} + - {column: E, row: 1192, expected_value: Self-employed, label: employment type} + - {column: J, row: 1192, expected_value: Value, label: measure} + - {column: L, row: 1193, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1194 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1194, expected_value: E92000001, label: geography} + - {column: D, row: 1194, expected_value: Males, label: sex} + - {column: E, row: 1194, expected_value: Self-employed, label: employment type} + - {column: J, row: 1194, expected_value: Value, label: measure} + - {column: L, row: 1195, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1196 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1196, expected_value: E92000001, label: geography} + - {column: D, row: 1196, expected_value: Males, label: sex} + - {column: E, row: 1196, expected_value: Self-employed, label: employment type} + - {column: J, row: 1196, expected_value: Value, label: measure} + - {column: L, row: 1197, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1198 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1198, expected_value: E92000001, label: geography} + - {column: D, row: 1198, expected_value: Males, label: sex} + - {column: E, row: 1198, expected_value: Self-employed, label: employment type} + - {column: J, row: 1198, expected_value: Value, label: measure} + - {column: L, row: 1199, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1200 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1200, expected_value: E92000001, label: geography} + - {column: D, row: 1200, expected_value: Males, label: sex} + - {column: E, row: 1200, expected_value: Self-employed, label: employment type} + - {column: J, row: 1200, expected_value: Value, label: measure} + - {column: L, row: 1201, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1202 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1202, expected_value: E92000001, label: geography} + - {column: D, row: 1202, expected_value: Males, label: sex} + - {column: E, row: 1202, expected_value: Self-employed, label: employment type} + - {column: J, row: 1202, expected_value: Value, label: measure} + - {column: L, row: 1203, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1204 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1204, expected_value: E92000001, label: geography} + - {column: D, row: 1204, expected_value: Males, label: sex} + - {column: E, row: 1204, expected_value: Self-employed, label: employment type} + - {column: J, row: 1204, expected_value: Value, label: measure} + - {column: L, row: 1205, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1208 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1208, expected_value: E92000001, label: geography} + - {column: D, row: 1208, expected_value: Males, label: sex} + - {column: E, row: 1208, expected_value: Self-employed, label: employment type} + - {column: J, row: 1208, expected_value: Value, label: measure} + - {column: L, row: 1209, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1210 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1210, expected_value: E92000001, label: geography} + - {column: D, row: 1210, expected_value: Males, label: sex} + - {column: E, row: 1210, expected_value: Self-employed, label: employment type} + - {column: J, row: 1210, expected_value: Value, label: measure} + - {column: L, row: 1211, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1212 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1212, expected_value: E92000001, label: geography} + - {column: D, row: 1212, expected_value: Males, label: sex} + - {column: E, row: 1212, expected_value: Self-employed, label: employment type} + - {column: J, row: 1212, expected_value: Value, label: measure} + - {column: L, row: 1213, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1214 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1214, expected_value: E92000001, label: geography} + - {column: D, row: 1214, expected_value: Males, label: sex} + - {column: E, row: 1214, expected_value: Self-employed, label: employment type} + - {column: J, row: 1214, expected_value: Value, label: measure} + - {column: L, row: 1215, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1216 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1216, expected_value: E92000001, label: geography} + - {column: D, row: 1216, expected_value: Males, label: sex} + - {column: E, row: 1216, expected_value: Self-employed, label: employment type} + - {column: J, row: 1216, expected_value: Value, label: measure} + - {column: L, row: 1217, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1218 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1218, expected_value: E92000001, label: geography} + - {column: D, row: 1218, expected_value: Males, label: sex} + - {column: E, row: 1218, expected_value: Self-employed, label: employment type} + - {column: J, row: 1218, expected_value: Value, label: measure} + - {column: L, row: 1219, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1220 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1220, expected_value: E92000001, label: geography} + - {column: D, row: 1220, expected_value: Males, label: sex} + - {column: E, row: 1220, expected_value: Self-employed, label: employment type} + - {column: J, row: 1220, expected_value: Value, label: measure} + - {column: L, row: 1221, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1222 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1222, expected_value: E92000001, label: geography} + - {column: D, row: 1222, expected_value: Males, label: sex} + - {column: E, row: 1222, expected_value: Self-employed, label: employment type} + - {column: J, row: 1222, expected_value: Value, label: measure} + - {column: L, row: 1223, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1224 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1224, expected_value: E92000001, label: geography} + - {column: D, row: 1224, expected_value: Males, label: sex} + - {column: E, row: 1224, expected_value: Self-employed, label: employment type} + - {column: J, row: 1224, expected_value: Value, label: measure} + - {column: L, row: 1225, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1155 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1155, expected_value: E92000001, label: geography} + - {column: D, row: 1155, expected_value: Males, label: sex} + - {column: E, row: 1155, expected_value: Self-employed, label: employment type} + - {column: J, row: 1155, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1157 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1157, expected_value: E92000001, label: geography} + - {column: D, row: 1157, expected_value: Males, label: sex} + - {column: E, row: 1157, expected_value: Self-employed, label: employment type} + - {column: J, row: 1157, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1159 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1159, expected_value: E92000001, label: geography} + - {column: D, row: 1159, expected_value: Males, label: sex} + - {column: E, row: 1159, expected_value: Self-employed, label: employment type} + - {column: J, row: 1159, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1161 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1161, expected_value: E92000001, label: geography} + - {column: D, row: 1161, expected_value: Males, label: sex} + - {column: E, row: 1161, expected_value: Self-employed, label: employment type} + - {column: J, row: 1161, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1163 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1163, expected_value: E92000001, label: geography} + - {column: D, row: 1163, expected_value: Males, label: sex} + - {column: E, row: 1163, expected_value: Self-employed, label: employment type} + - {column: J, row: 1163, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1165 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1165, expected_value: E92000001, label: geography} + - {column: D, row: 1165, expected_value: Males, label: sex} + - {column: E, row: 1165, expected_value: Self-employed, label: employment type} + - {column: J, row: 1165, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1167 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1167, expected_value: E92000001, label: geography} + - {column: D, row: 1167, expected_value: Males, label: sex} + - {column: E, row: 1167, expected_value: Self-employed, label: employment type} + - {column: J, row: 1167, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1169 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1169, expected_value: E92000001, label: geography} + - {column: D, row: 1169, expected_value: Males, label: sex} + - {column: E, row: 1169, expected_value: Self-employed, label: employment type} + - {column: J, row: 1169, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1171 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1171, expected_value: E92000001, label: geography} + - {column: D, row: 1171, expected_value: Males, label: sex} + - {column: E, row: 1171, expected_value: Self-employed, label: employment type} + - {column: J, row: 1171, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1173 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1173, expected_value: E92000001, label: geography} + - {column: D, row: 1173, expected_value: Males, label: sex} + - {column: E, row: 1173, expected_value: Self-employed, label: employment type} + - {column: J, row: 1173, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1175 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1175, expected_value: E92000001, label: geography} + - {column: D, row: 1175, expected_value: Males, label: sex} + - {column: E, row: 1175, expected_value: Self-employed, label: employment type} + - {column: J, row: 1175, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1177 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1177, expected_value: E92000001, label: geography} + - {column: D, row: 1177, expected_value: Males, label: sex} + - {column: E, row: 1177, expected_value: Self-employed, label: employment type} + - {column: J, row: 1177, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1179 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1179, expected_value: E92000001, label: geography} + - {column: D, row: 1179, expected_value: Males, label: sex} + - {column: E, row: 1179, expected_value: Self-employed, label: employment type} + - {column: J, row: 1179, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1181 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1181, expected_value: E92000001, label: geography} + - {column: D, row: 1181, expected_value: Males, label: sex} + - {column: E, row: 1181, expected_value: Self-employed, label: employment type} + - {column: J, row: 1181, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1183 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1183, expected_value: E92000001, label: geography} + - {column: D, row: 1183, expected_value: Males, label: sex} + - {column: E, row: 1183, expected_value: Self-employed, label: employment type} + - {column: J, row: 1183, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1185 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1185, expected_value: E92000001, label: geography} + - {column: D, row: 1185, expected_value: Males, label: sex} + - {column: E, row: 1185, expected_value: Self-employed, label: employment type} + - {column: J, row: 1185, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1187 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1187, expected_value: E92000001, label: geography} + - {column: D, row: 1187, expected_value: Males, label: sex} + - {column: E, row: 1187, expected_value: Self-employed, label: employment type} + - {column: J, row: 1187, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1191 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1191, expected_value: E92000001, label: geography} + - {column: D, row: 1191, expected_value: Males, label: sex} + - {column: E, row: 1191, expected_value: Self-employed, label: employment type} + - {column: J, row: 1191, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1193 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1193, expected_value: E92000001, label: geography} + - {column: D, row: 1193, expected_value: Males, label: sex} + - {column: E, row: 1193, expected_value: Self-employed, label: employment type} + - {column: J, row: 1193, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1195 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1195, expected_value: E92000001, label: geography} + - {column: D, row: 1195, expected_value: Males, label: sex} + - {column: E, row: 1195, expected_value: Self-employed, label: employment type} + - {column: J, row: 1195, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1197 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1197, expected_value: E92000001, label: geography} + - {column: D, row: 1197, expected_value: Males, label: sex} + - {column: E, row: 1197, expected_value: Self-employed, label: employment type} + - {column: J, row: 1197, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1199 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1199, expected_value: E92000001, label: geography} + - {column: D, row: 1199, expected_value: Males, label: sex} + - {column: E, row: 1199, expected_value: Self-employed, label: employment type} + - {column: J, row: 1199, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1201 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1201, expected_value: E92000001, label: geography} + - {column: D, row: 1201, expected_value: Males, label: sex} + - {column: E, row: 1201, expected_value: Self-employed, label: employment type} + - {column: J, row: 1201, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1203 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1203, expected_value: E92000001, label: geography} + - {column: D, row: 1203, expected_value: Males, label: sex} + - {column: E, row: 1203, expected_value: Self-employed, label: employment type} + - {column: J, row: 1203, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1205 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1205, expected_value: E92000001, label: geography} + - {column: D, row: 1205, expected_value: Males, label: sex} + - {column: E, row: 1205, expected_value: Self-employed, label: employment type} + - {column: J, row: 1205, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1209 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1209, expected_value: E92000001, label: geography} + - {column: D, row: 1209, expected_value: Males, label: sex} + - {column: E, row: 1209, expected_value: Self-employed, label: employment type} + - {column: J, row: 1209, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1211 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1211, expected_value: E92000001, label: geography} + - {column: D, row: 1211, expected_value: Males, label: sex} + - {column: E, row: 1211, expected_value: Self-employed, label: employment type} + - {column: J, row: 1211, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1215 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1215, expected_value: E92000001, label: geography} + - {column: D, row: 1215, expected_value: Males, label: sex} + - {column: E, row: 1215, expected_value: Self-employed, label: employment type} + - {column: J, row: 1215, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1217 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1217, expected_value: E92000001, label: geography} + - {column: D, row: 1217, expected_value: Males, label: sex} + - {column: E, row: 1217, expected_value: Self-employed, label: employment type} + - {column: J, row: 1217, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1219 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1219, expected_value: E92000001, label: geography} + - {column: D, row: 1219, expected_value: Males, label: sex} + - {column: E, row: 1219, expected_value: Self-employed, label: employment type} + - {column: J, row: 1219, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1221 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1221, expected_value: E92000001, label: geography} + - {column: D, row: 1221, expected_value: Males, label: sex} + - {column: E, row: 1221, expected_value: Self-employed, label: employment type} + - {column: J, row: 1221, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1223 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1223, expected_value: E92000001, label: geography} + - {column: D, row: 1223, expected_value: Males, label: sex} + - {column: E, row: 1223, expected_value: Self-employed, label: employment type} + - {column: J, row: 1223, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1225 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1225, expected_value: E92000001, label: geography} + - {column: D, row: 1225, expected_value: Males, label: sex} + - {column: E, row: 1225, expected_value: Self-employed, label: employment type} + - {column: J, row: 1225, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 794 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 794, expected_value: E92000001, label: geography} + - {column: D, row: 794, expected_value: Females, label: sex} + - {column: E, row: 794, expected_value: Total, label: employment type} + - {column: J, row: 794, expected_value: Value, label: measure} + - {column: L, row: 795, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 796 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 796, expected_value: E92000001, label: geography} + - {column: D, row: 796, expected_value: Females, label: sex} + - {column: E, row: 796, expected_value: Total, label: employment type} + - {column: J, row: 796, expected_value: Value, label: measure} + - {column: L, row: 797, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 798 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 798, expected_value: E92000001, label: geography} + - {column: D, row: 798, expected_value: Females, label: sex} + - {column: E, row: 798, expected_value: Total, label: employment type} + - {column: J, row: 798, expected_value: Value, label: measure} + - {column: L, row: 799, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 800 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 800, expected_value: E92000001, label: geography} + - {column: D, row: 800, expected_value: Females, label: sex} + - {column: E, row: 800, expected_value: Total, label: employment type} + - {column: J, row: 800, expected_value: Value, label: measure} + - {column: L, row: 801, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 802 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 802, expected_value: E92000001, label: geography} + - {column: D, row: 802, expected_value: Females, label: sex} + - {column: E, row: 802, expected_value: Total, label: employment type} + - {column: J, row: 802, expected_value: Value, label: measure} + - {column: L, row: 803, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 804 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 804, expected_value: E92000001, label: geography} + - {column: D, row: 804, expected_value: Females, label: sex} + - {column: E, row: 804, expected_value: Total, label: employment type} + - {column: J, row: 804, expected_value: Value, label: measure} + - {column: L, row: 805, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 806 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 806, expected_value: E92000001, label: geography} + - {column: D, row: 806, expected_value: Females, label: sex} + - {column: E, row: 806, expected_value: Total, label: employment type} + - {column: J, row: 806, expected_value: Value, label: measure} + - {column: L, row: 807, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 808 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 808, expected_value: E92000001, label: geography} + - {column: D, row: 808, expected_value: Females, label: sex} + - {column: E, row: 808, expected_value: Total, label: employment type} + - {column: J, row: 808, expected_value: Value, label: measure} + - {column: L, row: 809, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 810 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 810, expected_value: E92000001, label: geography} + - {column: D, row: 810, expected_value: Females, label: sex} + - {column: E, row: 810, expected_value: Total, label: employment type} + - {column: J, row: 810, expected_value: Value, label: measure} + - {column: L, row: 811, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 812 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 812, expected_value: E92000001, label: geography} + - {column: D, row: 812, expected_value: Females, label: sex} + - {column: E, row: 812, expected_value: Total, label: employment type} + - {column: J, row: 812, expected_value: Value, label: measure} + - {column: L, row: 813, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 814 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 814, expected_value: E92000001, label: geography} + - {column: D, row: 814, expected_value: Females, label: sex} + - {column: E, row: 814, expected_value: Total, label: employment type} + - {column: J, row: 814, expected_value: Value, label: measure} + - {column: L, row: 815, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 816 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 816, expected_value: E92000001, label: geography} + - {column: D, row: 816, expected_value: Females, label: sex} + - {column: E, row: 816, expected_value: Total, label: employment type} + - {column: J, row: 816, expected_value: Value, label: measure} + - {column: L, row: 817, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 818 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 818, expected_value: E92000001, label: geography} + - {column: D, row: 818, expected_value: Females, label: sex} + - {column: E, row: 818, expected_value: Total, label: employment type} + - {column: J, row: 818, expected_value: Value, label: measure} + - {column: L, row: 819, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 820 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 820, expected_value: E92000001, label: geography} + - {column: D, row: 820, expected_value: Females, label: sex} + - {column: E, row: 820, expected_value: Total, label: employment type} + - {column: J, row: 820, expected_value: Value, label: measure} + - {column: L, row: 821, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 822 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 822, expected_value: E92000001, label: geography} + - {column: D, row: 822, expected_value: Females, label: sex} + - {column: E, row: 822, expected_value: Total, label: employment type} + - {column: J, row: 822, expected_value: Value, label: measure} + - {column: L, row: 823, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 824 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 824, expected_value: E92000001, label: geography} + - {column: D, row: 824, expected_value: Females, label: sex} + - {column: E, row: 824, expected_value: Total, label: employment type} + - {column: J, row: 824, expected_value: Value, label: measure} + - {column: L, row: 825, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 826 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 826, expected_value: E92000001, label: geography} + - {column: D, row: 826, expected_value: Females, label: sex} + - {column: E, row: 826, expected_value: Total, label: employment type} + - {column: J, row: 826, expected_value: Value, label: measure} + - {column: L, row: 827, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 828 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 828, expected_value: E92000001, label: geography} + - {column: D, row: 828, expected_value: Females, label: sex} + - {column: E, row: 828, expected_value: Total, label: employment type} + - {column: J, row: 828, expected_value: Value, label: measure} + - {column: L, row: 829, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 830 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 830, expected_value: E92000001, label: geography} + - {column: D, row: 830, expected_value: Females, label: sex} + - {column: E, row: 830, expected_value: Total, label: employment type} + - {column: J, row: 830, expected_value: Value, label: measure} + - {column: L, row: 831, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 832 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 832, expected_value: E92000001, label: geography} + - {column: D, row: 832, expected_value: Females, label: sex} + - {column: E, row: 832, expected_value: Total, label: employment type} + - {column: J, row: 832, expected_value: Value, label: measure} + - {column: L, row: 833, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 834 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 834, expected_value: E92000001, label: geography} + - {column: D, row: 834, expected_value: Females, label: sex} + - {column: E, row: 834, expected_value: Total, label: employment type} + - {column: J, row: 834, expected_value: Value, label: measure} + - {column: L, row: 835, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 836 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 836, expected_value: E92000001, label: geography} + - {column: D, row: 836, expected_value: Females, label: sex} + - {column: E, row: 836, expected_value: Total, label: employment type} + - {column: J, row: 836, expected_value: Value, label: measure} + - {column: L, row: 837, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 838 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 838, expected_value: E92000001, label: geography} + - {column: D, row: 838, expected_value: Females, label: sex} + - {column: E, row: 838, expected_value: Total, label: employment type} + - {column: J, row: 838, expected_value: Value, label: measure} + - {column: L, row: 839, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 840 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 840, expected_value: E92000001, label: geography} + - {column: D, row: 840, expected_value: Females, label: sex} + - {column: E, row: 840, expected_value: Total, label: employment type} + - {column: J, row: 840, expected_value: Value, label: measure} + - {column: L, row: 841, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 842 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 842, expected_value: E92000001, label: geography} + - {column: D, row: 842, expected_value: Females, label: sex} + - {column: E, row: 842, expected_value: Total, label: employment type} + - {column: J, row: 842, expected_value: Value, label: measure} + - {column: L, row: 843, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 844 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 844, expected_value: E92000001, label: geography} + - {column: D, row: 844, expected_value: Females, label: sex} + - {column: E, row: 844, expected_value: Total, label: employment type} + - {column: J, row: 844, expected_value: Value, label: measure} + - {column: L, row: 845, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 846 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 846, expected_value: E92000001, label: geography} + - {column: D, row: 846, expected_value: Females, label: sex} + - {column: E, row: 846, expected_value: Total, label: employment type} + - {column: J, row: 846, expected_value: Value, label: measure} + - {column: L, row: 847, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 848 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 848, expected_value: E92000001, label: geography} + - {column: D, row: 848, expected_value: Females, label: sex} + - {column: E, row: 848, expected_value: Total, label: employment type} + - {column: J, row: 848, expected_value: Value, label: measure} + - {column: L, row: 849, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 850 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 850, expected_value: E92000001, label: geography} + - {column: D, row: 850, expected_value: Females, label: sex} + - {column: E, row: 850, expected_value: Total, label: employment type} + - {column: J, row: 850, expected_value: Value, label: measure} + - {column: L, row: 851, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 852 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 852, expected_value: E92000001, label: geography} + - {column: D, row: 852, expected_value: Females, label: sex} + - {column: E, row: 852, expected_value: Total, label: employment type} + - {column: J, row: 852, expected_value: Value, label: measure} + - {column: L, row: 853, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 854 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 854, expected_value: E92000001, label: geography} + - {column: D, row: 854, expected_value: Females, label: sex} + - {column: E, row: 854, expected_value: Total, label: employment type} + - {column: J, row: 854, expected_value: Value, label: measure} + - {column: L, row: 855, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 856 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 856, expected_value: E92000001, label: geography} + - {column: D, row: 856, expected_value: Females, label: sex} + - {column: E, row: 856, expected_value: Total, label: employment type} + - {column: J, row: 856, expected_value: Value, label: measure} + - {column: L, row: 857, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 858 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 858, expected_value: E92000001, label: geography} + - {column: D, row: 858, expected_value: Females, label: sex} + - {column: E, row: 858, expected_value: Total, label: employment type} + - {column: J, row: 858, expected_value: Value, label: measure} + - {column: L, row: 859, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 860 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 860, expected_value: E92000001, label: geography} + - {column: D, row: 860, expected_value: Females, label: sex} + - {column: E, row: 860, expected_value: Total, label: employment type} + - {column: J, row: 860, expected_value: Value, label: measure} + - {column: L, row: 861, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 862 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 862, expected_value: E92000001, label: geography} + - {column: D, row: 862, expected_value: Females, label: sex} + - {column: E, row: 862, expected_value: Total, label: employment type} + - {column: J, row: 862, expected_value: Value, label: measure} + - {column: L, row: 863, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 864 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 864, expected_value: E92000001, label: geography} + - {column: D, row: 864, expected_value: Females, label: sex} + - {column: E, row: 864, expected_value: Total, label: employment type} + - {column: J, row: 864, expected_value: Value, label: measure} + - {column: L, row: 865, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 795 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 795, expected_value: E92000001, label: geography} + - {column: D, row: 795, expected_value: Females, label: sex} + - {column: E, row: 795, expected_value: Total, label: employment type} + - {column: J, row: 795, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 797 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 797, expected_value: E92000001, label: geography} + - {column: D, row: 797, expected_value: Females, label: sex} + - {column: E, row: 797, expected_value: Total, label: employment type} + - {column: J, row: 797, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 799 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 799, expected_value: E92000001, label: geography} + - {column: D, row: 799, expected_value: Females, label: sex} + - {column: E, row: 799, expected_value: Total, label: employment type} + - {column: J, row: 799, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 801 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 801, expected_value: E92000001, label: geography} + - {column: D, row: 801, expected_value: Females, label: sex} + - {column: E, row: 801, expected_value: Total, label: employment type} + - {column: J, row: 801, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 803 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 803, expected_value: E92000001, label: geography} + - {column: D, row: 803, expected_value: Females, label: sex} + - {column: E, row: 803, expected_value: Total, label: employment type} + - {column: J, row: 803, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 805 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 805, expected_value: E92000001, label: geography} + - {column: D, row: 805, expected_value: Females, label: sex} + - {column: E, row: 805, expected_value: Total, label: employment type} + - {column: J, row: 805, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 807 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 807, expected_value: E92000001, label: geography} + - {column: D, row: 807, expected_value: Females, label: sex} + - {column: E, row: 807, expected_value: Total, label: employment type} + - {column: J, row: 807, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 809 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 809, expected_value: E92000001, label: geography} + - {column: D, row: 809, expected_value: Females, label: sex} + - {column: E, row: 809, expected_value: Total, label: employment type} + - {column: J, row: 809, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 811 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 811, expected_value: E92000001, label: geography} + - {column: D, row: 811, expected_value: Females, label: sex} + - {column: E, row: 811, expected_value: Total, label: employment type} + - {column: J, row: 811, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 813 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 813, expected_value: E92000001, label: geography} + - {column: D, row: 813, expected_value: Females, label: sex} + - {column: E, row: 813, expected_value: Total, label: employment type} + - {column: J, row: 813, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 815 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 815, expected_value: E92000001, label: geography} + - {column: D, row: 815, expected_value: Females, label: sex} + - {column: E, row: 815, expected_value: Total, label: employment type} + - {column: J, row: 815, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 817 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 817, expected_value: E92000001, label: geography} + - {column: D, row: 817, expected_value: Females, label: sex} + - {column: E, row: 817, expected_value: Total, label: employment type} + - {column: J, row: 817, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 819 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 819, expected_value: E92000001, label: geography} + - {column: D, row: 819, expected_value: Females, label: sex} + - {column: E, row: 819, expected_value: Total, label: employment type} + - {column: J, row: 819, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 821 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 821, expected_value: E92000001, label: geography} + - {column: D, row: 821, expected_value: Females, label: sex} + - {column: E, row: 821, expected_value: Total, label: employment type} + - {column: J, row: 821, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 823 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 823, expected_value: E92000001, label: geography} + - {column: D, row: 823, expected_value: Females, label: sex} + - {column: E, row: 823, expected_value: Total, label: employment type} + - {column: J, row: 823, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 825 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 825, expected_value: E92000001, label: geography} + - {column: D, row: 825, expected_value: Females, label: sex} + - {column: E, row: 825, expected_value: Total, label: employment type} + - {column: J, row: 825, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 827 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 827, expected_value: E92000001, label: geography} + - {column: D, row: 827, expected_value: Females, label: sex} + - {column: E, row: 827, expected_value: Total, label: employment type} + - {column: J, row: 827, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 829 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 829, expected_value: E92000001, label: geography} + - {column: D, row: 829, expected_value: Females, label: sex} + - {column: E, row: 829, expected_value: Total, label: employment type} + - {column: J, row: 829, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 831 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 831, expected_value: E92000001, label: geography} + - {column: D, row: 831, expected_value: Females, label: sex} + - {column: E, row: 831, expected_value: Total, label: employment type} + - {column: J, row: 831, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 833 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 833, expected_value: E92000001, label: geography} + - {column: D, row: 833, expected_value: Females, label: sex} + - {column: E, row: 833, expected_value: Total, label: employment type} + - {column: J, row: 833, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 835 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 835, expected_value: E92000001, label: geography} + - {column: D, row: 835, expected_value: Females, label: sex} + - {column: E, row: 835, expected_value: Total, label: employment type} + - {column: J, row: 835, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 837 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 837, expected_value: E92000001, label: geography} + - {column: D, row: 837, expected_value: Females, label: sex} + - {column: E, row: 837, expected_value: Total, label: employment type} + - {column: J, row: 837, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 839 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 839, expected_value: E92000001, label: geography} + - {column: D, row: 839, expected_value: Females, label: sex} + - {column: E, row: 839, expected_value: Total, label: employment type} + - {column: J, row: 839, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 841 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 841, expected_value: E92000001, label: geography} + - {column: D, row: 841, expected_value: Females, label: sex} + - {column: E, row: 841, expected_value: Total, label: employment type} + - {column: J, row: 841, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 843 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 843, expected_value: E92000001, label: geography} + - {column: D, row: 843, expected_value: Females, label: sex} + - {column: E, row: 843, expected_value: Total, label: employment type} + - {column: J, row: 843, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 845 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 845, expected_value: E92000001, label: geography} + - {column: D, row: 845, expected_value: Females, label: sex} + - {column: E, row: 845, expected_value: Total, label: employment type} + - {column: J, row: 845, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 847 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 847, expected_value: E92000001, label: geography} + - {column: D, row: 847, expected_value: Females, label: sex} + - {column: E, row: 847, expected_value: Total, label: employment type} + - {column: J, row: 847, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 849 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 849, expected_value: E92000001, label: geography} + - {column: D, row: 849, expected_value: Females, label: sex} + - {column: E, row: 849, expected_value: Total, label: employment type} + - {column: J, row: 849, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 851 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 851, expected_value: E92000001, label: geography} + - {column: D, row: 851, expected_value: Females, label: sex} + - {column: E, row: 851, expected_value: Total, label: employment type} + - {column: J, row: 851, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 853 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 853, expected_value: E92000001, label: geography} + - {column: D, row: 853, expected_value: Females, label: sex} + - {column: E, row: 853, expected_value: Total, label: employment type} + - {column: J, row: 853, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 855 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 855, expected_value: E92000001, label: geography} + - {column: D, row: 855, expected_value: Females, label: sex} + - {column: E, row: 855, expected_value: Total, label: employment type} + - {column: J, row: 855, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 857 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 857, expected_value: E92000001, label: geography} + - {column: D, row: 857, expected_value: Females, label: sex} + - {column: E, row: 857, expected_value: Total, label: employment type} + - {column: J, row: 857, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 859 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 859, expected_value: E92000001, label: geography} + - {column: D, row: 859, expected_value: Females, label: sex} + - {column: E, row: 859, expected_value: Total, label: employment type} + - {column: J, row: 859, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 861 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 861, expected_value: E92000001, label: geography} + - {column: D, row: 861, expected_value: Females, label: sex} + - {column: E, row: 861, expected_value: Total, label: employment type} + - {column: J, row: 861, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 863 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 863, expected_value: E92000001, label: geography} + - {column: D, row: 863, expected_value: Females, label: sex} + - {column: E, row: 863, expected_value: Total, label: employment type} + - {column: J, row: 863, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 865 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 865, expected_value: E92000001, label: geography} + - {column: D, row: 865, expected_value: Females, label: sex} + - {column: E, row: 865, expected_value: Total, label: employment type} + - {column: J, row: 865, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1010 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1010, expected_value: E92000001, label: geography} + - {column: D, row: 1010, expected_value: Females, label: sex} + - {column: E, row: 1010, expected_value: Employee, label: employment type} + - {column: J, row: 1010, expected_value: Value, label: measure} + - {column: L, row: 1011, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1012 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1012, expected_value: E92000001, label: geography} + - {column: D, row: 1012, expected_value: Females, label: sex} + - {column: E, row: 1012, expected_value: Employee, label: employment type} + - {column: J, row: 1012, expected_value: Value, label: measure} + - {column: L, row: 1013, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1014 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1014, expected_value: E92000001, label: geography} + - {column: D, row: 1014, expected_value: Females, label: sex} + - {column: E, row: 1014, expected_value: Employee, label: employment type} + - {column: J, row: 1014, expected_value: Value, label: measure} + - {column: L, row: 1015, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1016 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1016, expected_value: E92000001, label: geography} + - {column: D, row: 1016, expected_value: Females, label: sex} + - {column: E, row: 1016, expected_value: Employee, label: employment type} + - {column: J, row: 1016, expected_value: Value, label: measure} + - {column: L, row: 1017, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1018 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1018, expected_value: E92000001, label: geography} + - {column: D, row: 1018, expected_value: Females, label: sex} + - {column: E, row: 1018, expected_value: Employee, label: employment type} + - {column: J, row: 1018, expected_value: Value, label: measure} + - {column: L, row: 1019, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1020 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1020, expected_value: E92000001, label: geography} + - {column: D, row: 1020, expected_value: Females, label: sex} + - {column: E, row: 1020, expected_value: Employee, label: employment type} + - {column: J, row: 1020, expected_value: Value, label: measure} + - {column: L, row: 1021, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1022 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1022, expected_value: E92000001, label: geography} + - {column: D, row: 1022, expected_value: Females, label: sex} + - {column: E, row: 1022, expected_value: Employee, label: employment type} + - {column: J, row: 1022, expected_value: Value, label: measure} + - {column: L, row: 1023, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1024 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1024, expected_value: E92000001, label: geography} + - {column: D, row: 1024, expected_value: Females, label: sex} + - {column: E, row: 1024, expected_value: Employee, label: employment type} + - {column: J, row: 1024, expected_value: Value, label: measure} + - {column: L, row: 1025, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1026 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1026, expected_value: E92000001, label: geography} + - {column: D, row: 1026, expected_value: Females, label: sex} + - {column: E, row: 1026, expected_value: Employee, label: employment type} + - {column: J, row: 1026, expected_value: Value, label: measure} + - {column: L, row: 1027, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1028 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1028, expected_value: E92000001, label: geography} + - {column: D, row: 1028, expected_value: Females, label: sex} + - {column: E, row: 1028, expected_value: Employee, label: employment type} + - {column: J, row: 1028, expected_value: Value, label: measure} + - {column: L, row: 1029, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1030 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1030, expected_value: E92000001, label: geography} + - {column: D, row: 1030, expected_value: Females, label: sex} + - {column: E, row: 1030, expected_value: Employee, label: employment type} + - {column: J, row: 1030, expected_value: Value, label: measure} + - {column: L, row: 1031, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1032 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1032, expected_value: E92000001, label: geography} + - {column: D, row: 1032, expected_value: Females, label: sex} + - {column: E, row: 1032, expected_value: Employee, label: employment type} + - {column: J, row: 1032, expected_value: Value, label: measure} + - {column: L, row: 1033, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1034 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1034, expected_value: E92000001, label: geography} + - {column: D, row: 1034, expected_value: Females, label: sex} + - {column: E, row: 1034, expected_value: Employee, label: employment type} + - {column: J, row: 1034, expected_value: Value, label: measure} + - {column: L, row: 1035, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1036 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1036, expected_value: E92000001, label: geography} + - {column: D, row: 1036, expected_value: Females, label: sex} + - {column: E, row: 1036, expected_value: Employee, label: employment type} + - {column: J, row: 1036, expected_value: Value, label: measure} + - {column: L, row: 1037, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1038 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1038, expected_value: E92000001, label: geography} + - {column: D, row: 1038, expected_value: Females, label: sex} + - {column: E, row: 1038, expected_value: Employee, label: employment type} + - {column: J, row: 1038, expected_value: Value, label: measure} + - {column: L, row: 1039, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1040 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1040, expected_value: E92000001, label: geography} + - {column: D, row: 1040, expected_value: Females, label: sex} + - {column: E, row: 1040, expected_value: Employee, label: employment type} + - {column: J, row: 1040, expected_value: Value, label: measure} + - {column: L, row: 1041, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1042 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1042, expected_value: E92000001, label: geography} + - {column: D, row: 1042, expected_value: Females, label: sex} + - {column: E, row: 1042, expected_value: Employee, label: employment type} + - {column: J, row: 1042, expected_value: Value, label: measure} + - {column: L, row: 1043, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1044 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1044, expected_value: E92000001, label: geography} + - {column: D, row: 1044, expected_value: Females, label: sex} + - {column: E, row: 1044, expected_value: Employee, label: employment type} + - {column: J, row: 1044, expected_value: Value, label: measure} + - {column: L, row: 1045, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1046 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1046, expected_value: E92000001, label: geography} + - {column: D, row: 1046, expected_value: Females, label: sex} + - {column: E, row: 1046, expected_value: Employee, label: employment type} + - {column: J, row: 1046, expected_value: Value, label: measure} + - {column: L, row: 1047, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1048 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1048, expected_value: E92000001, label: geography} + - {column: D, row: 1048, expected_value: Females, label: sex} + - {column: E, row: 1048, expected_value: Employee, label: employment type} + - {column: J, row: 1048, expected_value: Value, label: measure} + - {column: L, row: 1049, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1050 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1050, expected_value: E92000001, label: geography} + - {column: D, row: 1050, expected_value: Females, label: sex} + - {column: E, row: 1050, expected_value: Employee, label: employment type} + - {column: J, row: 1050, expected_value: Value, label: measure} + - {column: L, row: 1051, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1052 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1052, expected_value: E92000001, label: geography} + - {column: D, row: 1052, expected_value: Females, label: sex} + - {column: E, row: 1052, expected_value: Employee, label: employment type} + - {column: J, row: 1052, expected_value: Value, label: measure} + - {column: L, row: 1053, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1054 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1054, expected_value: E92000001, label: geography} + - {column: D, row: 1054, expected_value: Females, label: sex} + - {column: E, row: 1054, expected_value: Employee, label: employment type} + - {column: J, row: 1054, expected_value: Value, label: measure} + - {column: L, row: 1055, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1056 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1056, expected_value: E92000001, label: geography} + - {column: D, row: 1056, expected_value: Females, label: sex} + - {column: E, row: 1056, expected_value: Employee, label: employment type} + - {column: J, row: 1056, expected_value: Value, label: measure} + - {column: L, row: 1057, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1058 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1058, expected_value: E92000001, label: geography} + - {column: D, row: 1058, expected_value: Females, label: sex} + - {column: E, row: 1058, expected_value: Employee, label: employment type} + - {column: J, row: 1058, expected_value: Value, label: measure} + - {column: L, row: 1059, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1060 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1060, expected_value: E92000001, label: geography} + - {column: D, row: 1060, expected_value: Females, label: sex} + - {column: E, row: 1060, expected_value: Employee, label: employment type} + - {column: J, row: 1060, expected_value: Value, label: measure} + - {column: L, row: 1061, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1062 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1062, expected_value: E92000001, label: geography} + - {column: D, row: 1062, expected_value: Females, label: sex} + - {column: E, row: 1062, expected_value: Employee, label: employment type} + - {column: J, row: 1062, expected_value: Value, label: measure} + - {column: L, row: 1063, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1064 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1064, expected_value: E92000001, label: geography} + - {column: D, row: 1064, expected_value: Females, label: sex} + - {column: E, row: 1064, expected_value: Employee, label: employment type} + - {column: J, row: 1064, expected_value: Value, label: measure} + - {column: L, row: 1065, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1066 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1066, expected_value: E92000001, label: geography} + - {column: D, row: 1066, expected_value: Females, label: sex} + - {column: E, row: 1066, expected_value: Employee, label: employment type} + - {column: J, row: 1066, expected_value: Value, label: measure} + - {column: L, row: 1067, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1068 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1068, expected_value: E92000001, label: geography} + - {column: D, row: 1068, expected_value: Females, label: sex} + - {column: E, row: 1068, expected_value: Employee, label: employment type} + - {column: J, row: 1068, expected_value: Value, label: measure} + - {column: L, row: 1069, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1070 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1070, expected_value: E92000001, label: geography} + - {column: D, row: 1070, expected_value: Females, label: sex} + - {column: E, row: 1070, expected_value: Employee, label: employment type} + - {column: J, row: 1070, expected_value: Value, label: measure} + - {column: L, row: 1071, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1072 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1072, expected_value: E92000001, label: geography} + - {column: D, row: 1072, expected_value: Females, label: sex} + - {column: E, row: 1072, expected_value: Employee, label: employment type} + - {column: J, row: 1072, expected_value: Value, label: measure} + - {column: L, row: 1073, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1074 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1074, expected_value: E92000001, label: geography} + - {column: D, row: 1074, expected_value: Females, label: sex} + - {column: E, row: 1074, expected_value: Employee, label: employment type} + - {column: J, row: 1074, expected_value: Value, label: measure} + - {column: L, row: 1075, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1076 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1076, expected_value: E92000001, label: geography} + - {column: D, row: 1076, expected_value: Females, label: sex} + - {column: E, row: 1076, expected_value: Employee, label: employment type} + - {column: J, row: 1076, expected_value: Value, label: measure} + - {column: L, row: 1077, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1078 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1078, expected_value: E92000001, label: geography} + - {column: D, row: 1078, expected_value: Females, label: sex} + - {column: E, row: 1078, expected_value: Employee, label: employment type} + - {column: J, row: 1078, expected_value: Value, label: measure} + - {column: L, row: 1079, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1080 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1080, expected_value: E92000001, label: geography} + - {column: D, row: 1080, expected_value: Females, label: sex} + - {column: E, row: 1080, expected_value: Employee, label: employment type} + - {column: J, row: 1080, expected_value: Value, label: measure} + - {column: L, row: 1081, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1011 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1011, expected_value: E92000001, label: geography} + - {column: D, row: 1011, expected_value: Females, label: sex} + - {column: E, row: 1011, expected_value: Employee, label: employment type} + - {column: J, row: 1011, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1013 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1013, expected_value: E92000001, label: geography} + - {column: D, row: 1013, expected_value: Females, label: sex} + - {column: E, row: 1013, expected_value: Employee, label: employment type} + - {column: J, row: 1013, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1015 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1015, expected_value: E92000001, label: geography} + - {column: D, row: 1015, expected_value: Females, label: sex} + - {column: E, row: 1015, expected_value: Employee, label: employment type} + - {column: J, row: 1015, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1017 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1017, expected_value: E92000001, label: geography} + - {column: D, row: 1017, expected_value: Females, label: sex} + - {column: E, row: 1017, expected_value: Employee, label: employment type} + - {column: J, row: 1017, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1019 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1019, expected_value: E92000001, label: geography} + - {column: D, row: 1019, expected_value: Females, label: sex} + - {column: E, row: 1019, expected_value: Employee, label: employment type} + - {column: J, row: 1019, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1021 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1021, expected_value: E92000001, label: geography} + - {column: D, row: 1021, expected_value: Females, label: sex} + - {column: E, row: 1021, expected_value: Employee, label: employment type} + - {column: J, row: 1021, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1023 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1023, expected_value: E92000001, label: geography} + - {column: D, row: 1023, expected_value: Females, label: sex} + - {column: E, row: 1023, expected_value: Employee, label: employment type} + - {column: J, row: 1023, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1025 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1025, expected_value: E92000001, label: geography} + - {column: D, row: 1025, expected_value: Females, label: sex} + - {column: E, row: 1025, expected_value: Employee, label: employment type} + - {column: J, row: 1025, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1027 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1027, expected_value: E92000001, label: geography} + - {column: D, row: 1027, expected_value: Females, label: sex} + - {column: E, row: 1027, expected_value: Employee, label: employment type} + - {column: J, row: 1027, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1029 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1029, expected_value: E92000001, label: geography} + - {column: D, row: 1029, expected_value: Females, label: sex} + - {column: E, row: 1029, expected_value: Employee, label: employment type} + - {column: J, row: 1029, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1031 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1031, expected_value: E92000001, label: geography} + - {column: D, row: 1031, expected_value: Females, label: sex} + - {column: E, row: 1031, expected_value: Employee, label: employment type} + - {column: J, row: 1031, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1033 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1033, expected_value: E92000001, label: geography} + - {column: D, row: 1033, expected_value: Females, label: sex} + - {column: E, row: 1033, expected_value: Employee, label: employment type} + - {column: J, row: 1033, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1035 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1035, expected_value: E92000001, label: geography} + - {column: D, row: 1035, expected_value: Females, label: sex} + - {column: E, row: 1035, expected_value: Employee, label: employment type} + - {column: J, row: 1035, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1037 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1037, expected_value: E92000001, label: geography} + - {column: D, row: 1037, expected_value: Females, label: sex} + - {column: E, row: 1037, expected_value: Employee, label: employment type} + - {column: J, row: 1037, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1039 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1039, expected_value: E92000001, label: geography} + - {column: D, row: 1039, expected_value: Females, label: sex} + - {column: E, row: 1039, expected_value: Employee, label: employment type} + - {column: J, row: 1039, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1041 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1041, expected_value: E92000001, label: geography} + - {column: D, row: 1041, expected_value: Females, label: sex} + - {column: E, row: 1041, expected_value: Employee, label: employment type} + - {column: J, row: 1041, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1043 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1043, expected_value: E92000001, label: geography} + - {column: D, row: 1043, expected_value: Females, label: sex} + - {column: E, row: 1043, expected_value: Employee, label: employment type} + - {column: J, row: 1043, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1045 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1045, expected_value: E92000001, label: geography} + - {column: D, row: 1045, expected_value: Females, label: sex} + - {column: E, row: 1045, expected_value: Employee, label: employment type} + - {column: J, row: 1045, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1047 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1047, expected_value: E92000001, label: geography} + - {column: D, row: 1047, expected_value: Females, label: sex} + - {column: E, row: 1047, expected_value: Employee, label: employment type} + - {column: J, row: 1047, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1049 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1049, expected_value: E92000001, label: geography} + - {column: D, row: 1049, expected_value: Females, label: sex} + - {column: E, row: 1049, expected_value: Employee, label: employment type} + - {column: J, row: 1049, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1051 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1051, expected_value: E92000001, label: geography} + - {column: D, row: 1051, expected_value: Females, label: sex} + - {column: E, row: 1051, expected_value: Employee, label: employment type} + - {column: J, row: 1051, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1053 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1053, expected_value: E92000001, label: geography} + - {column: D, row: 1053, expected_value: Females, label: sex} + - {column: E, row: 1053, expected_value: Employee, label: employment type} + - {column: J, row: 1053, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1055 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1055, expected_value: E92000001, label: geography} + - {column: D, row: 1055, expected_value: Females, label: sex} + - {column: E, row: 1055, expected_value: Employee, label: employment type} + - {column: J, row: 1055, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1057 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1057, expected_value: E92000001, label: geography} + - {column: D, row: 1057, expected_value: Females, label: sex} + - {column: E, row: 1057, expected_value: Employee, label: employment type} + - {column: J, row: 1057, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1059 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1059, expected_value: E92000001, label: geography} + - {column: D, row: 1059, expected_value: Females, label: sex} + - {column: E, row: 1059, expected_value: Employee, label: employment type} + - {column: J, row: 1059, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1061 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1061, expected_value: E92000001, label: geography} + - {column: D, row: 1061, expected_value: Females, label: sex} + - {column: E, row: 1061, expected_value: Employee, label: employment type} + - {column: J, row: 1061, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1063 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1063, expected_value: E92000001, label: geography} + - {column: D, row: 1063, expected_value: Females, label: sex} + - {column: E, row: 1063, expected_value: Employee, label: employment type} + - {column: J, row: 1063, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1065 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1065, expected_value: E92000001, label: geography} + - {column: D, row: 1065, expected_value: Females, label: sex} + - {column: E, row: 1065, expected_value: Employee, label: employment type} + - {column: J, row: 1065, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1067 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1067, expected_value: E92000001, label: geography} + - {column: D, row: 1067, expected_value: Females, label: sex} + - {column: E, row: 1067, expected_value: Employee, label: employment type} + - {column: J, row: 1067, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1069 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1069, expected_value: E92000001, label: geography} + - {column: D, row: 1069, expected_value: Females, label: sex} + - {column: E, row: 1069, expected_value: Employee, label: employment type} + - {column: J, row: 1069, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1071 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1071, expected_value: E92000001, label: geography} + - {column: D, row: 1071, expected_value: Females, label: sex} + - {column: E, row: 1071, expected_value: Employee, label: employment type} + - {column: J, row: 1071, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1073 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1073, expected_value: E92000001, label: geography} + - {column: D, row: 1073, expected_value: Females, label: sex} + - {column: E, row: 1073, expected_value: Employee, label: employment type} + - {column: J, row: 1073, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1075 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1075, expected_value: E92000001, label: geography} + - {column: D, row: 1075, expected_value: Females, label: sex} + - {column: E, row: 1075, expected_value: Employee, label: employment type} + - {column: J, row: 1075, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1077 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1077, expected_value: E92000001, label: geography} + - {column: D, row: 1077, expected_value: Females, label: sex} + - {column: E, row: 1077, expected_value: Employee, label: employment type} + - {column: J, row: 1077, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1079 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1079, expected_value: E92000001, label: geography} + - {column: D, row: 1079, expected_value: Females, label: sex} + - {column: E, row: 1079, expected_value: Employee, label: employment type} + - {column: J, row: 1079, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1081 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1081, expected_value: E92000001, label: geography} + - {column: D, row: 1081, expected_value: Females, label: sex} + - {column: E, row: 1081, expected_value: Employee, label: employment type} + - {column: J, row: 1081, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1226 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1226, expected_value: E92000001, label: geography} + - {column: D, row: 1226, expected_value: Females, label: sex} + - {column: E, row: 1226, expected_value: Self-employed, label: employment type} + - {column: J, row: 1226, expected_value: Value, label: measure} + - {column: L, row: 1227, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1228 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1228, expected_value: E92000001, label: geography} + - {column: D, row: 1228, expected_value: Females, label: sex} + - {column: E, row: 1228, expected_value: Self-employed, label: employment type} + - {column: J, row: 1228, expected_value: Value, label: measure} + - {column: L, row: 1229, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1230 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1230, expected_value: E92000001, label: geography} + - {column: D, row: 1230, expected_value: Females, label: sex} + - {column: E, row: 1230, expected_value: Self-employed, label: employment type} + - {column: J, row: 1230, expected_value: Value, label: measure} + - {column: L, row: 1231, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1232 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1232, expected_value: E92000001, label: geography} + - {column: D, row: 1232, expected_value: Females, label: sex} + - {column: E, row: 1232, expected_value: Self-employed, label: employment type} + - {column: J, row: 1232, expected_value: Value, label: measure} + - {column: L, row: 1233, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1234 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1234, expected_value: E92000001, label: geography} + - {column: D, row: 1234, expected_value: Females, label: sex} + - {column: E, row: 1234, expected_value: Self-employed, label: employment type} + - {column: J, row: 1234, expected_value: Value, label: measure} + - {column: L, row: 1235, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1236 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1236, expected_value: E92000001, label: geography} + - {column: D, row: 1236, expected_value: Females, label: sex} + - {column: E, row: 1236, expected_value: Self-employed, label: employment type} + - {column: J, row: 1236, expected_value: Value, label: measure} + - {column: L, row: 1237, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1238 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1238, expected_value: E92000001, label: geography} + - {column: D, row: 1238, expected_value: Females, label: sex} + - {column: E, row: 1238, expected_value: Self-employed, label: employment type} + - {column: J, row: 1238, expected_value: Value, label: measure} + - {column: L, row: 1239, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1240 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1240, expected_value: E92000001, label: geography} + - {column: D, row: 1240, expected_value: Females, label: sex} + - {column: E, row: 1240, expected_value: Self-employed, label: employment type} + - {column: J, row: 1240, expected_value: Value, label: measure} + - {column: L, row: 1241, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1242 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1242, expected_value: E92000001, label: geography} + - {column: D, row: 1242, expected_value: Females, label: sex} + - {column: E, row: 1242, expected_value: Self-employed, label: employment type} + - {column: J, row: 1242, expected_value: Value, label: measure} + - {column: L, row: 1243, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1244 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1244, expected_value: E92000001, label: geography} + - {column: D, row: 1244, expected_value: Females, label: sex} + - {column: E, row: 1244, expected_value: Self-employed, label: employment type} + - {column: J, row: 1244, expected_value: Value, label: measure} + - {column: L, row: 1245, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1246 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1246, expected_value: E92000001, label: geography} + - {column: D, row: 1246, expected_value: Females, label: sex} + - {column: E, row: 1246, expected_value: Self-employed, label: employment type} + - {column: J, row: 1246, expected_value: Value, label: measure} + - {column: L, row: 1247, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1248 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1248, expected_value: E92000001, label: geography} + - {column: D, row: 1248, expected_value: Females, label: sex} + - {column: E, row: 1248, expected_value: Self-employed, label: employment type} + - {column: J, row: 1248, expected_value: Value, label: measure} + - {column: L, row: 1249, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1252 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1252, expected_value: E92000001, label: geography} + - {column: D, row: 1252, expected_value: Females, label: sex} + - {column: E, row: 1252, expected_value: Self-employed, label: employment type} + - {column: J, row: 1252, expected_value: Value, label: measure} + - {column: L, row: 1253, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1254 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1254, expected_value: E92000001, label: geography} + - {column: D, row: 1254, expected_value: Females, label: sex} + - {column: E, row: 1254, expected_value: Self-employed, label: employment type} + - {column: J, row: 1254, expected_value: Value, label: measure} + - {column: L, row: 1255, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1256 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1256, expected_value: E92000001, label: geography} + - {column: D, row: 1256, expected_value: Females, label: sex} + - {column: E, row: 1256, expected_value: Self-employed, label: employment type} + - {column: J, row: 1256, expected_value: Value, label: measure} + - {column: L, row: 1257, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1258 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1258, expected_value: E92000001, label: geography} + - {column: D, row: 1258, expected_value: Females, label: sex} + - {column: E, row: 1258, expected_value: Self-employed, label: employment type} + - {column: J, row: 1258, expected_value: Value, label: measure} + - {column: L, row: 1259, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1260 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1260, expected_value: E92000001, label: geography} + - {column: D, row: 1260, expected_value: Females, label: sex} + - {column: E, row: 1260, expected_value: Self-employed, label: employment type} + - {column: J, row: 1260, expected_value: Value, label: measure} + - {column: L, row: 1261, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1262 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1262, expected_value: E92000001, label: geography} + - {column: D, row: 1262, expected_value: Females, label: sex} + - {column: E, row: 1262, expected_value: Self-employed, label: employment type} + - {column: J, row: 1262, expected_value: Value, label: measure} + - {column: L, row: 1263, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1264 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1264, expected_value: E92000001, label: geography} + - {column: D, row: 1264, expected_value: Females, label: sex} + - {column: E, row: 1264, expected_value: Self-employed, label: employment type} + - {column: J, row: 1264, expected_value: Value, label: measure} + - {column: L, row: 1265, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1268 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1268, expected_value: E92000001, label: geography} + - {column: D, row: 1268, expected_value: Females, label: sex} + - {column: E, row: 1268, expected_value: Self-employed, label: employment type} + - {column: J, row: 1268, expected_value: Value, label: measure} + - {column: L, row: 1269, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1270 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1270, expected_value: E92000001, label: geography} + - {column: D, row: 1270, expected_value: Females, label: sex} + - {column: E, row: 1270, expected_value: Self-employed, label: employment type} + - {column: J, row: 1270, expected_value: Value, label: measure} + - {column: L, row: 1271, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1272 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1272, expected_value: E92000001, label: geography} + - {column: D, row: 1272, expected_value: Females, label: sex} + - {column: E, row: 1272, expected_value: Self-employed, label: employment type} + - {column: J, row: 1272, expected_value: Value, label: measure} + - {column: L, row: 1273, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1274 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1274, expected_value: E92000001, label: geography} + - {column: D, row: 1274, expected_value: Females, label: sex} + - {column: E, row: 1274, expected_value: Self-employed, label: employment type} + - {column: J, row: 1274, expected_value: Value, label: measure} + - {column: L, row: 1275, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1276 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1276, expected_value: E92000001, label: geography} + - {column: D, row: 1276, expected_value: Females, label: sex} + - {column: E, row: 1276, expected_value: Self-employed, label: employment type} + - {column: J, row: 1276, expected_value: Value, label: measure} + - {column: L, row: 1277, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1280 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1280, expected_value: E92000001, label: geography} + - {column: D, row: 1280, expected_value: Females, label: sex} + - {column: E, row: 1280, expected_value: Self-employed, label: employment type} + - {column: J, row: 1280, expected_value: Value, label: measure} + - {column: L, row: 1281, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1282 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1282, expected_value: E92000001, label: geography} + - {column: D, row: 1282, expected_value: Females, label: sex} + - {column: E, row: 1282, expected_value: Self-employed, label: employment type} + - {column: J, row: 1282, expected_value: Value, label: measure} + - {column: L, row: 1283, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1284 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1284, expected_value: E92000001, label: geography} + - {column: D, row: 1284, expected_value: Females, label: sex} + - {column: E, row: 1284, expected_value: Self-employed, label: employment type} + - {column: J, row: 1284, expected_value: Value, label: measure} + - {column: L, row: 1285, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1286 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1286, expected_value: E92000001, label: geography} + - {column: D, row: 1286, expected_value: Females, label: sex} + - {column: E, row: 1286, expected_value: Self-employed, label: employment type} + - {column: J, row: 1286, expected_value: Value, label: measure} + - {column: L, row: 1287, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1288 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1288, expected_value: E92000001, label: geography} + - {column: D, row: 1288, expected_value: Females, label: sex} + - {column: E, row: 1288, expected_value: Self-employed, label: employment type} + - {column: J, row: 1288, expected_value: Value, label: measure} + - {column: L, row: 1289, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1290 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1290, expected_value: E92000001, label: geography} + - {column: D, row: 1290, expected_value: Females, label: sex} + - {column: E, row: 1290, expected_value: Self-employed, label: employment type} + - {column: J, row: 1290, expected_value: Value, label: measure} + - {column: L, row: 1291, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1292 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1292, expected_value: E92000001, label: geography} + - {column: D, row: 1292, expected_value: Females, label: sex} + - {column: E, row: 1292, expected_value: Self-employed, label: employment type} + - {column: J, row: 1292, expected_value: Value, label: measure} + - {column: L, row: 1293, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1294 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1294, expected_value: E92000001, label: geography} + - {column: D, row: 1294, expected_value: Females, label: sex} + - {column: E, row: 1294, expected_value: Self-employed, label: employment type} + - {column: J, row: 1294, expected_value: Value, label: measure} + - {column: L, row: 1295, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1296 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1296, expected_value: E92000001, label: geography} + - {column: D, row: 1296, expected_value: Females, label: sex} + - {column: E, row: 1296, expected_value: Self-employed, label: employment type} + - {column: J, row: 1296, expected_value: Value, label: measure} + - {column: L, row: 1297, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e92000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1227 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1227, expected_value: E92000001, label: geography} + - {column: D, row: 1227, expected_value: Females, label: sex} + - {column: E, row: 1227, expected_value: Self-employed, label: employment type} + - {column: J, row: 1227, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1229 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1229, expected_value: E92000001, label: geography} + - {column: D, row: 1229, expected_value: Females, label: sex} + - {column: E, row: 1229, expected_value: Self-employed, label: employment type} + - {column: J, row: 1229, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1231 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1231, expected_value: E92000001, label: geography} + - {column: D, row: 1231, expected_value: Females, label: sex} + - {column: E, row: 1231, expected_value: Self-employed, label: employment type} + - {column: J, row: 1231, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1233 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1233, expected_value: E92000001, label: geography} + - {column: D, row: 1233, expected_value: Females, label: sex} + - {column: E, row: 1233, expected_value: Self-employed, label: employment type} + - {column: J, row: 1233, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1235 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1235, expected_value: E92000001, label: geography} + - {column: D, row: 1235, expected_value: Females, label: sex} + - {column: E, row: 1235, expected_value: Self-employed, label: employment type} + - {column: J, row: 1235, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1237 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1237, expected_value: E92000001, label: geography} + - {column: D, row: 1237, expected_value: Females, label: sex} + - {column: E, row: 1237, expected_value: Self-employed, label: employment type} + - {column: J, row: 1237, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1239 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1239, expected_value: E92000001, label: geography} + - {column: D, row: 1239, expected_value: Females, label: sex} + - {column: E, row: 1239, expected_value: Self-employed, label: employment type} + - {column: J, row: 1239, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1241 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1241, expected_value: E92000001, label: geography} + - {column: D, row: 1241, expected_value: Females, label: sex} + - {column: E, row: 1241, expected_value: Self-employed, label: employment type} + - {column: J, row: 1241, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1243 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1243, expected_value: E92000001, label: geography} + - {column: D, row: 1243, expected_value: Females, label: sex} + - {column: E, row: 1243, expected_value: Self-employed, label: employment type} + - {column: J, row: 1243, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1245 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1245, expected_value: E92000001, label: geography} + - {column: D, row: 1245, expected_value: Females, label: sex} + - {column: E, row: 1245, expected_value: Self-employed, label: employment type} + - {column: J, row: 1245, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1247 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1247, expected_value: E92000001, label: geography} + - {column: D, row: 1247, expected_value: Females, label: sex} + - {column: E, row: 1247, expected_value: Self-employed, label: employment type} + - {column: J, row: 1247, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1249 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1249, expected_value: E92000001, label: geography} + - {column: D, row: 1249, expected_value: Females, label: sex} + - {column: E, row: 1249, expected_value: Self-employed, label: employment type} + - {column: J, row: 1249, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1253 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1253, expected_value: E92000001, label: geography} + - {column: D, row: 1253, expected_value: Females, label: sex} + - {column: E, row: 1253, expected_value: Self-employed, label: employment type} + - {column: J, row: 1253, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1255 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1255, expected_value: E92000001, label: geography} + - {column: D, row: 1255, expected_value: Females, label: sex} + - {column: E, row: 1255, expected_value: Self-employed, label: employment type} + - {column: J, row: 1255, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1257 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1257, expected_value: E92000001, label: geography} + - {column: D, row: 1257, expected_value: Females, label: sex} + - {column: E, row: 1257, expected_value: Self-employed, label: employment type} + - {column: J, row: 1257, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1259 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1259, expected_value: E92000001, label: geography} + - {column: D, row: 1259, expected_value: Females, label: sex} + - {column: E, row: 1259, expected_value: Self-employed, label: employment type} + - {column: J, row: 1259, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1261 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1261, expected_value: E92000001, label: geography} + - {column: D, row: 1261, expected_value: Females, label: sex} + - {column: E, row: 1261, expected_value: Self-employed, label: employment type} + - {column: J, row: 1261, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1263 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1263, expected_value: E92000001, label: geography} + - {column: D, row: 1263, expected_value: Females, label: sex} + - {column: E, row: 1263, expected_value: Self-employed, label: employment type} + - {column: J, row: 1263, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1265 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1265, expected_value: E92000001, label: geography} + - {column: D, row: 1265, expected_value: Females, label: sex} + - {column: E, row: 1265, expected_value: Self-employed, label: employment type} + - {column: J, row: 1265, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1269 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1269, expected_value: E92000001, label: geography} + - {column: D, row: 1269, expected_value: Females, label: sex} + - {column: E, row: 1269, expected_value: Self-employed, label: employment type} + - {column: J, row: 1269, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1271 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1271, expected_value: E92000001, label: geography} + - {column: D, row: 1271, expected_value: Females, label: sex} + - {column: E, row: 1271, expected_value: Self-employed, label: employment type} + - {column: J, row: 1271, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1273 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1273, expected_value: E92000001, label: geography} + - {column: D, row: 1273, expected_value: Females, label: sex} + - {column: E, row: 1273, expected_value: Self-employed, label: employment type} + - {column: J, row: 1273, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1275 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1275, expected_value: E92000001, label: geography} + - {column: D, row: 1275, expected_value: Females, label: sex} + - {column: E, row: 1275, expected_value: Self-employed, label: employment type} + - {column: J, row: 1275, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1277 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1277, expected_value: E92000001, label: geography} + - {column: D, row: 1277, expected_value: Females, label: sex} + - {column: E, row: 1277, expected_value: Self-employed, label: employment type} + - {column: J, row: 1277, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1281 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1281, expected_value: E92000001, label: geography} + - {column: D, row: 1281, expected_value: Females, label: sex} + - {column: E, row: 1281, expected_value: Self-employed, label: employment type} + - {column: J, row: 1281, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1283 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1283, expected_value: E92000001, label: geography} + - {column: D, row: 1283, expected_value: Females, label: sex} + - {column: E, row: 1283, expected_value: Self-employed, label: employment type} + - {column: J, row: 1283, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1287 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1287, expected_value: E92000001, label: geography} + - {column: D, row: 1287, expected_value: Females, label: sex} + - {column: E, row: 1287, expected_value: Self-employed, label: employment type} + - {column: J, row: 1287, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1289 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1289, expected_value: E92000001, label: geography} + - {column: D, row: 1289, expected_value: Females, label: sex} + - {column: E, row: 1289, expected_value: Self-employed, label: employment type} + - {column: J, row: 1289, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1291 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1291, expected_value: E92000001, label: geography} + - {column: D, row: 1291, expected_value: Females, label: sex} + - {column: E, row: 1291, expected_value: Self-employed, label: employment type} + - {column: J, row: 1291, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1293 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1293, expected_value: E92000001, label: geography} + - {column: D, row: 1293, expected_value: Females, label: sex} + - {column: E, row: 1293, expected_value: Self-employed, label: employment type} + - {column: J, row: 1293, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1295 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1295, expected_value: E92000001, label: geography} + - {column: D, row: 1295, expected_value: Females, label: sex} + - {column: E, row: 1295, expected_value: Self-employed, label: employment type} + - {column: J, row: 1295, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1297 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1297, expected_value: E92000001, label: geography} + - {column: D, row: 1297, expected_value: Females, label: sex} + - {column: E, row: 1297, expected_value: Self-employed, label: employment type} + - {column: J, row: 1297, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1298 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1298, expected_value: W92000004, label: geography} + - {column: D, row: 1298, expected_value: All persons, label: sex} + - {column: E, row: 1298, expected_value: Total, label: employment type} + - {column: J, row: 1298, expected_value: Value, label: measure} + - {column: L, row: 1299, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1300 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1300, expected_value: W92000004, label: geography} + - {column: D, row: 1300, expected_value: All persons, label: sex} + - {column: E, row: 1300, expected_value: Total, label: employment type} + - {column: J, row: 1300, expected_value: Value, label: measure} + - {column: L, row: 1301, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1302 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1302, expected_value: W92000004, label: geography} + - {column: D, row: 1302, expected_value: All persons, label: sex} + - {column: E, row: 1302, expected_value: Total, label: employment type} + - {column: J, row: 1302, expected_value: Value, label: measure} + - {column: L, row: 1303, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1304 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1304, expected_value: W92000004, label: geography} + - {column: D, row: 1304, expected_value: All persons, label: sex} + - {column: E, row: 1304, expected_value: Total, label: employment type} + - {column: J, row: 1304, expected_value: Value, label: measure} + - {column: L, row: 1305, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1306 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1306, expected_value: W92000004, label: geography} + - {column: D, row: 1306, expected_value: All persons, label: sex} + - {column: E, row: 1306, expected_value: Total, label: employment type} + - {column: J, row: 1306, expected_value: Value, label: measure} + - {column: L, row: 1307, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1308 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1308, expected_value: W92000004, label: geography} + - {column: D, row: 1308, expected_value: All persons, label: sex} + - {column: E, row: 1308, expected_value: Total, label: employment type} + - {column: J, row: 1308, expected_value: Value, label: measure} + - {column: L, row: 1309, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1310 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1310, expected_value: W92000004, label: geography} + - {column: D, row: 1310, expected_value: All persons, label: sex} + - {column: E, row: 1310, expected_value: Total, label: employment type} + - {column: J, row: 1310, expected_value: Value, label: measure} + - {column: L, row: 1311, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1312 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1312, expected_value: W92000004, label: geography} + - {column: D, row: 1312, expected_value: All persons, label: sex} + - {column: E, row: 1312, expected_value: Total, label: employment type} + - {column: J, row: 1312, expected_value: Value, label: measure} + - {column: L, row: 1313, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1314 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1314, expected_value: W92000004, label: geography} + - {column: D, row: 1314, expected_value: All persons, label: sex} + - {column: E, row: 1314, expected_value: Total, label: employment type} + - {column: J, row: 1314, expected_value: Value, label: measure} + - {column: L, row: 1315, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1316 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1316, expected_value: W92000004, label: geography} + - {column: D, row: 1316, expected_value: All persons, label: sex} + - {column: E, row: 1316, expected_value: Total, label: employment type} + - {column: J, row: 1316, expected_value: Value, label: measure} + - {column: L, row: 1317, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1318 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1318, expected_value: W92000004, label: geography} + - {column: D, row: 1318, expected_value: All persons, label: sex} + - {column: E, row: 1318, expected_value: Total, label: employment type} + - {column: J, row: 1318, expected_value: Value, label: measure} + - {column: L, row: 1319, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1320 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1320, expected_value: W92000004, label: geography} + - {column: D, row: 1320, expected_value: All persons, label: sex} + - {column: E, row: 1320, expected_value: Total, label: employment type} + - {column: J, row: 1320, expected_value: Value, label: measure} + - {column: L, row: 1321, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1322 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1322, expected_value: W92000004, label: geography} + - {column: D, row: 1322, expected_value: All persons, label: sex} + - {column: E, row: 1322, expected_value: Total, label: employment type} + - {column: J, row: 1322, expected_value: Value, label: measure} + - {column: L, row: 1323, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1324 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1324, expected_value: W92000004, label: geography} + - {column: D, row: 1324, expected_value: All persons, label: sex} + - {column: E, row: 1324, expected_value: Total, label: employment type} + - {column: J, row: 1324, expected_value: Value, label: measure} + - {column: L, row: 1325, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1326 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1326, expected_value: W92000004, label: geography} + - {column: D, row: 1326, expected_value: All persons, label: sex} + - {column: E, row: 1326, expected_value: Total, label: employment type} + - {column: J, row: 1326, expected_value: Value, label: measure} + - {column: L, row: 1327, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1328 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1328, expected_value: W92000004, label: geography} + - {column: D, row: 1328, expected_value: All persons, label: sex} + - {column: E, row: 1328, expected_value: Total, label: employment type} + - {column: J, row: 1328, expected_value: Value, label: measure} + - {column: L, row: 1329, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1330 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1330, expected_value: W92000004, label: geography} + - {column: D, row: 1330, expected_value: All persons, label: sex} + - {column: E, row: 1330, expected_value: Total, label: employment type} + - {column: J, row: 1330, expected_value: Value, label: measure} + - {column: L, row: 1331, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1332 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1332, expected_value: W92000004, label: geography} + - {column: D, row: 1332, expected_value: All persons, label: sex} + - {column: E, row: 1332, expected_value: Total, label: employment type} + - {column: J, row: 1332, expected_value: Value, label: measure} + - {column: L, row: 1333, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1334 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1334, expected_value: W92000004, label: geography} + - {column: D, row: 1334, expected_value: All persons, label: sex} + - {column: E, row: 1334, expected_value: Total, label: employment type} + - {column: J, row: 1334, expected_value: Value, label: measure} + - {column: L, row: 1335, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1336 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1336, expected_value: W92000004, label: geography} + - {column: D, row: 1336, expected_value: All persons, label: sex} + - {column: E, row: 1336, expected_value: Total, label: employment type} + - {column: J, row: 1336, expected_value: Value, label: measure} + - {column: L, row: 1337, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1338 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1338, expected_value: W92000004, label: geography} + - {column: D, row: 1338, expected_value: All persons, label: sex} + - {column: E, row: 1338, expected_value: Total, label: employment type} + - {column: J, row: 1338, expected_value: Value, label: measure} + - {column: L, row: 1339, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1340 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1340, expected_value: W92000004, label: geography} + - {column: D, row: 1340, expected_value: All persons, label: sex} + - {column: E, row: 1340, expected_value: Total, label: employment type} + - {column: J, row: 1340, expected_value: Value, label: measure} + - {column: L, row: 1341, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1342 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1342, expected_value: W92000004, label: geography} + - {column: D, row: 1342, expected_value: All persons, label: sex} + - {column: E, row: 1342, expected_value: Total, label: employment type} + - {column: J, row: 1342, expected_value: Value, label: measure} + - {column: L, row: 1343, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1344 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1344, expected_value: W92000004, label: geography} + - {column: D, row: 1344, expected_value: All persons, label: sex} + - {column: E, row: 1344, expected_value: Total, label: employment type} + - {column: J, row: 1344, expected_value: Value, label: measure} + - {column: L, row: 1345, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1346 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1346, expected_value: W92000004, label: geography} + - {column: D, row: 1346, expected_value: All persons, label: sex} + - {column: E, row: 1346, expected_value: Total, label: employment type} + - {column: J, row: 1346, expected_value: Value, label: measure} + - {column: L, row: 1347, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1348 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1348, expected_value: W92000004, label: geography} + - {column: D, row: 1348, expected_value: All persons, label: sex} + - {column: E, row: 1348, expected_value: Total, label: employment type} + - {column: J, row: 1348, expected_value: Value, label: measure} + - {column: L, row: 1349, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1350 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1350, expected_value: W92000004, label: geography} + - {column: D, row: 1350, expected_value: All persons, label: sex} + - {column: E, row: 1350, expected_value: Total, label: employment type} + - {column: J, row: 1350, expected_value: Value, label: measure} + - {column: L, row: 1351, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1352 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1352, expected_value: W92000004, label: geography} + - {column: D, row: 1352, expected_value: All persons, label: sex} + - {column: E, row: 1352, expected_value: Total, label: employment type} + - {column: J, row: 1352, expected_value: Value, label: measure} + - {column: L, row: 1353, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1354 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1354, expected_value: W92000004, label: geography} + - {column: D, row: 1354, expected_value: All persons, label: sex} + - {column: E, row: 1354, expected_value: Total, label: employment type} + - {column: J, row: 1354, expected_value: Value, label: measure} + - {column: L, row: 1355, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1356 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1356, expected_value: W92000004, label: geography} + - {column: D, row: 1356, expected_value: All persons, label: sex} + - {column: E, row: 1356, expected_value: Total, label: employment type} + - {column: J, row: 1356, expected_value: Value, label: measure} + - {column: L, row: 1357, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1358 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1358, expected_value: W92000004, label: geography} + - {column: D, row: 1358, expected_value: All persons, label: sex} + - {column: E, row: 1358, expected_value: Total, label: employment type} + - {column: J, row: 1358, expected_value: Value, label: measure} + - {column: L, row: 1359, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1360 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1360, expected_value: W92000004, label: geography} + - {column: D, row: 1360, expected_value: All persons, label: sex} + - {column: E, row: 1360, expected_value: Total, label: employment type} + - {column: J, row: 1360, expected_value: Value, label: measure} + - {column: L, row: 1361, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1362 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1362, expected_value: W92000004, label: geography} + - {column: D, row: 1362, expected_value: All persons, label: sex} + - {column: E, row: 1362, expected_value: Total, label: employment type} + - {column: J, row: 1362, expected_value: Value, label: measure} + - {column: L, row: 1363, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1364 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1364, expected_value: W92000004, label: geography} + - {column: D, row: 1364, expected_value: All persons, label: sex} + - {column: E, row: 1364, expected_value: Total, label: employment type} + - {column: J, row: 1364, expected_value: Value, label: measure} + - {column: L, row: 1365, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1366 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1366, expected_value: W92000004, label: geography} + - {column: D, row: 1366, expected_value: All persons, label: sex} + - {column: E, row: 1366, expected_value: Total, label: employment type} + - {column: J, row: 1366, expected_value: Value, label: measure} + - {column: L, row: 1367, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1368 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1368, expected_value: W92000004, label: geography} + - {column: D, row: 1368, expected_value: All persons, label: sex} + - {column: E, row: 1368, expected_value: Total, label: employment type} + - {column: J, row: 1368, expected_value: Value, label: measure} + - {column: L, row: 1369, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1299 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1299, expected_value: W92000004, label: geography} + - {column: D, row: 1299, expected_value: All persons, label: sex} + - {column: E, row: 1299, expected_value: Total, label: employment type} + - {column: J, row: 1299, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1301 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1301, expected_value: W92000004, label: geography} + - {column: D, row: 1301, expected_value: All persons, label: sex} + - {column: E, row: 1301, expected_value: Total, label: employment type} + - {column: J, row: 1301, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1303 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1303, expected_value: W92000004, label: geography} + - {column: D, row: 1303, expected_value: All persons, label: sex} + - {column: E, row: 1303, expected_value: Total, label: employment type} + - {column: J, row: 1303, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1305 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1305, expected_value: W92000004, label: geography} + - {column: D, row: 1305, expected_value: All persons, label: sex} + - {column: E, row: 1305, expected_value: Total, label: employment type} + - {column: J, row: 1305, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1307 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1307, expected_value: W92000004, label: geography} + - {column: D, row: 1307, expected_value: All persons, label: sex} + - {column: E, row: 1307, expected_value: Total, label: employment type} + - {column: J, row: 1307, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1309 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1309, expected_value: W92000004, label: geography} + - {column: D, row: 1309, expected_value: All persons, label: sex} + - {column: E, row: 1309, expected_value: Total, label: employment type} + - {column: J, row: 1309, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1311 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1311, expected_value: W92000004, label: geography} + - {column: D, row: 1311, expected_value: All persons, label: sex} + - {column: E, row: 1311, expected_value: Total, label: employment type} + - {column: J, row: 1311, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1313 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1313, expected_value: W92000004, label: geography} + - {column: D, row: 1313, expected_value: All persons, label: sex} + - {column: E, row: 1313, expected_value: Total, label: employment type} + - {column: J, row: 1313, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1315 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1315, expected_value: W92000004, label: geography} + - {column: D, row: 1315, expected_value: All persons, label: sex} + - {column: E, row: 1315, expected_value: Total, label: employment type} + - {column: J, row: 1315, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1317 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1317, expected_value: W92000004, label: geography} + - {column: D, row: 1317, expected_value: All persons, label: sex} + - {column: E, row: 1317, expected_value: Total, label: employment type} + - {column: J, row: 1317, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1319 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1319, expected_value: W92000004, label: geography} + - {column: D, row: 1319, expected_value: All persons, label: sex} + - {column: E, row: 1319, expected_value: Total, label: employment type} + - {column: J, row: 1319, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1321 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1321, expected_value: W92000004, label: geography} + - {column: D, row: 1321, expected_value: All persons, label: sex} + - {column: E, row: 1321, expected_value: Total, label: employment type} + - {column: J, row: 1321, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1323 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1323, expected_value: W92000004, label: geography} + - {column: D, row: 1323, expected_value: All persons, label: sex} + - {column: E, row: 1323, expected_value: Total, label: employment type} + - {column: J, row: 1323, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1325 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1325, expected_value: W92000004, label: geography} + - {column: D, row: 1325, expected_value: All persons, label: sex} + - {column: E, row: 1325, expected_value: Total, label: employment type} + - {column: J, row: 1325, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1327 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1327, expected_value: W92000004, label: geography} + - {column: D, row: 1327, expected_value: All persons, label: sex} + - {column: E, row: 1327, expected_value: Total, label: employment type} + - {column: J, row: 1327, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1329 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1329, expected_value: W92000004, label: geography} + - {column: D, row: 1329, expected_value: All persons, label: sex} + - {column: E, row: 1329, expected_value: Total, label: employment type} + - {column: J, row: 1329, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1331 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1331, expected_value: W92000004, label: geography} + - {column: D, row: 1331, expected_value: All persons, label: sex} + - {column: E, row: 1331, expected_value: Total, label: employment type} + - {column: J, row: 1331, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1333 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1333, expected_value: W92000004, label: geography} + - {column: D, row: 1333, expected_value: All persons, label: sex} + - {column: E, row: 1333, expected_value: Total, label: employment type} + - {column: J, row: 1333, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1335 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1335, expected_value: W92000004, label: geography} + - {column: D, row: 1335, expected_value: All persons, label: sex} + - {column: E, row: 1335, expected_value: Total, label: employment type} + - {column: J, row: 1335, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1337 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1337, expected_value: W92000004, label: geography} + - {column: D, row: 1337, expected_value: All persons, label: sex} + - {column: E, row: 1337, expected_value: Total, label: employment type} + - {column: J, row: 1337, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1339 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1339, expected_value: W92000004, label: geography} + - {column: D, row: 1339, expected_value: All persons, label: sex} + - {column: E, row: 1339, expected_value: Total, label: employment type} + - {column: J, row: 1339, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1341 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1341, expected_value: W92000004, label: geography} + - {column: D, row: 1341, expected_value: All persons, label: sex} + - {column: E, row: 1341, expected_value: Total, label: employment type} + - {column: J, row: 1341, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1343 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1343, expected_value: W92000004, label: geography} + - {column: D, row: 1343, expected_value: All persons, label: sex} + - {column: E, row: 1343, expected_value: Total, label: employment type} + - {column: J, row: 1343, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1345 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1345, expected_value: W92000004, label: geography} + - {column: D, row: 1345, expected_value: All persons, label: sex} + - {column: E, row: 1345, expected_value: Total, label: employment type} + - {column: J, row: 1345, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1347 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1347, expected_value: W92000004, label: geography} + - {column: D, row: 1347, expected_value: All persons, label: sex} + - {column: E, row: 1347, expected_value: Total, label: employment type} + - {column: J, row: 1347, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1349 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1349, expected_value: W92000004, label: geography} + - {column: D, row: 1349, expected_value: All persons, label: sex} + - {column: E, row: 1349, expected_value: Total, label: employment type} + - {column: J, row: 1349, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1353 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1353, expected_value: W92000004, label: geography} + - {column: D, row: 1353, expected_value: All persons, label: sex} + - {column: E, row: 1353, expected_value: Total, label: employment type} + - {column: J, row: 1353, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1355 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1355, expected_value: W92000004, label: geography} + - {column: D, row: 1355, expected_value: All persons, label: sex} + - {column: E, row: 1355, expected_value: Total, label: employment type} + - {column: J, row: 1355, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1357 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1357, expected_value: W92000004, label: geography} + - {column: D, row: 1357, expected_value: All persons, label: sex} + - {column: E, row: 1357, expected_value: Total, label: employment type} + - {column: J, row: 1357, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1359 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1359, expected_value: W92000004, label: geography} + - {column: D, row: 1359, expected_value: All persons, label: sex} + - {column: E, row: 1359, expected_value: Total, label: employment type} + - {column: J, row: 1359, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1361 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1361, expected_value: W92000004, label: geography} + - {column: D, row: 1361, expected_value: All persons, label: sex} + - {column: E, row: 1361, expected_value: Total, label: employment type} + - {column: J, row: 1361, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1363 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1363, expected_value: W92000004, label: geography} + - {column: D, row: 1363, expected_value: All persons, label: sex} + - {column: E, row: 1363, expected_value: Total, label: employment type} + - {column: J, row: 1363, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1365 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1365, expected_value: W92000004, label: geography} + - {column: D, row: 1365, expected_value: All persons, label: sex} + - {column: E, row: 1365, expected_value: Total, label: employment type} + - {column: J, row: 1365, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1367 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1367, expected_value: W92000004, label: geography} + - {column: D, row: 1367, expected_value: All persons, label: sex} + - {column: E, row: 1367, expected_value: Total, label: employment type} + - {column: J, row: 1367, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1369 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1369, expected_value: W92000004, label: geography} + - {column: D, row: 1369, expected_value: All persons, label: sex} + - {column: E, row: 1369, expected_value: Total, label: employment type} + - {column: J, row: 1369, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1514 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1514, expected_value: W92000004, label: geography} + - {column: D, row: 1514, expected_value: All persons, label: sex} + - {column: E, row: 1514, expected_value: Employee, label: employment type} + - {column: J, row: 1514, expected_value: Value, label: measure} + - {column: L, row: 1515, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1516 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1516, expected_value: W92000004, label: geography} + - {column: D, row: 1516, expected_value: All persons, label: sex} + - {column: E, row: 1516, expected_value: Employee, label: employment type} + - {column: J, row: 1516, expected_value: Value, label: measure} + - {column: L, row: 1517, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1518 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1518, expected_value: W92000004, label: geography} + - {column: D, row: 1518, expected_value: All persons, label: sex} + - {column: E, row: 1518, expected_value: Employee, label: employment type} + - {column: J, row: 1518, expected_value: Value, label: measure} + - {column: L, row: 1519, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1520 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1520, expected_value: W92000004, label: geography} + - {column: D, row: 1520, expected_value: All persons, label: sex} + - {column: E, row: 1520, expected_value: Employee, label: employment type} + - {column: J, row: 1520, expected_value: Value, label: measure} + - {column: L, row: 1521, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1522 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1522, expected_value: W92000004, label: geography} + - {column: D, row: 1522, expected_value: All persons, label: sex} + - {column: E, row: 1522, expected_value: Employee, label: employment type} + - {column: J, row: 1522, expected_value: Value, label: measure} + - {column: L, row: 1523, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1524 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1524, expected_value: W92000004, label: geography} + - {column: D, row: 1524, expected_value: All persons, label: sex} + - {column: E, row: 1524, expected_value: Employee, label: employment type} + - {column: J, row: 1524, expected_value: Value, label: measure} + - {column: L, row: 1525, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1526 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1526, expected_value: W92000004, label: geography} + - {column: D, row: 1526, expected_value: All persons, label: sex} + - {column: E, row: 1526, expected_value: Employee, label: employment type} + - {column: J, row: 1526, expected_value: Value, label: measure} + - {column: L, row: 1527, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1528 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1528, expected_value: W92000004, label: geography} + - {column: D, row: 1528, expected_value: All persons, label: sex} + - {column: E, row: 1528, expected_value: Employee, label: employment type} + - {column: J, row: 1528, expected_value: Value, label: measure} + - {column: L, row: 1529, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1530 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1530, expected_value: W92000004, label: geography} + - {column: D, row: 1530, expected_value: All persons, label: sex} + - {column: E, row: 1530, expected_value: Employee, label: employment type} + - {column: J, row: 1530, expected_value: Value, label: measure} + - {column: L, row: 1531, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1532 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1532, expected_value: W92000004, label: geography} + - {column: D, row: 1532, expected_value: All persons, label: sex} + - {column: E, row: 1532, expected_value: Employee, label: employment type} + - {column: J, row: 1532, expected_value: Value, label: measure} + - {column: L, row: 1533, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1534 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1534, expected_value: W92000004, label: geography} + - {column: D, row: 1534, expected_value: All persons, label: sex} + - {column: E, row: 1534, expected_value: Employee, label: employment type} + - {column: J, row: 1534, expected_value: Value, label: measure} + - {column: L, row: 1535, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1536 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1536, expected_value: W92000004, label: geography} + - {column: D, row: 1536, expected_value: All persons, label: sex} + - {column: E, row: 1536, expected_value: Employee, label: employment type} + - {column: J, row: 1536, expected_value: Value, label: measure} + - {column: L, row: 1537, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1538 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1538, expected_value: W92000004, label: geography} + - {column: D, row: 1538, expected_value: All persons, label: sex} + - {column: E, row: 1538, expected_value: Employee, label: employment type} + - {column: J, row: 1538, expected_value: Value, label: measure} + - {column: L, row: 1539, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1540 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1540, expected_value: W92000004, label: geography} + - {column: D, row: 1540, expected_value: All persons, label: sex} + - {column: E, row: 1540, expected_value: Employee, label: employment type} + - {column: J, row: 1540, expected_value: Value, label: measure} + - {column: L, row: 1541, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1542 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1542, expected_value: W92000004, label: geography} + - {column: D, row: 1542, expected_value: All persons, label: sex} + - {column: E, row: 1542, expected_value: Employee, label: employment type} + - {column: J, row: 1542, expected_value: Value, label: measure} + - {column: L, row: 1543, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1544 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1544, expected_value: W92000004, label: geography} + - {column: D, row: 1544, expected_value: All persons, label: sex} + - {column: E, row: 1544, expected_value: Employee, label: employment type} + - {column: J, row: 1544, expected_value: Value, label: measure} + - {column: L, row: 1545, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1546 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1546, expected_value: W92000004, label: geography} + - {column: D, row: 1546, expected_value: All persons, label: sex} + - {column: E, row: 1546, expected_value: Employee, label: employment type} + - {column: J, row: 1546, expected_value: Value, label: measure} + - {column: L, row: 1547, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1548 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1548, expected_value: W92000004, label: geography} + - {column: D, row: 1548, expected_value: All persons, label: sex} + - {column: E, row: 1548, expected_value: Employee, label: employment type} + - {column: J, row: 1548, expected_value: Value, label: measure} + - {column: L, row: 1549, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1550 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1550, expected_value: W92000004, label: geography} + - {column: D, row: 1550, expected_value: All persons, label: sex} + - {column: E, row: 1550, expected_value: Employee, label: employment type} + - {column: J, row: 1550, expected_value: Value, label: measure} + - {column: L, row: 1551, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1552 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1552, expected_value: W92000004, label: geography} + - {column: D, row: 1552, expected_value: All persons, label: sex} + - {column: E, row: 1552, expected_value: Employee, label: employment type} + - {column: J, row: 1552, expected_value: Value, label: measure} + - {column: L, row: 1553, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1554 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1554, expected_value: W92000004, label: geography} + - {column: D, row: 1554, expected_value: All persons, label: sex} + - {column: E, row: 1554, expected_value: Employee, label: employment type} + - {column: J, row: 1554, expected_value: Value, label: measure} + - {column: L, row: 1555, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1556 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1556, expected_value: W92000004, label: geography} + - {column: D, row: 1556, expected_value: All persons, label: sex} + - {column: E, row: 1556, expected_value: Employee, label: employment type} + - {column: J, row: 1556, expected_value: Value, label: measure} + - {column: L, row: 1557, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1558 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1558, expected_value: W92000004, label: geography} + - {column: D, row: 1558, expected_value: All persons, label: sex} + - {column: E, row: 1558, expected_value: Employee, label: employment type} + - {column: J, row: 1558, expected_value: Value, label: measure} + - {column: L, row: 1559, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1560 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1560, expected_value: W92000004, label: geography} + - {column: D, row: 1560, expected_value: All persons, label: sex} + - {column: E, row: 1560, expected_value: Employee, label: employment type} + - {column: J, row: 1560, expected_value: Value, label: measure} + - {column: L, row: 1561, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1562 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1562, expected_value: W92000004, label: geography} + - {column: D, row: 1562, expected_value: All persons, label: sex} + - {column: E, row: 1562, expected_value: Employee, label: employment type} + - {column: J, row: 1562, expected_value: Value, label: measure} + - {column: L, row: 1563, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1564 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1564, expected_value: W92000004, label: geography} + - {column: D, row: 1564, expected_value: All persons, label: sex} + - {column: E, row: 1564, expected_value: Employee, label: employment type} + - {column: J, row: 1564, expected_value: Value, label: measure} + - {column: L, row: 1565, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1566 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1566, expected_value: W92000004, label: geography} + - {column: D, row: 1566, expected_value: All persons, label: sex} + - {column: E, row: 1566, expected_value: Employee, label: employment type} + - {column: J, row: 1566, expected_value: Value, label: measure} + - {column: L, row: 1567, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1568 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1568, expected_value: W92000004, label: geography} + - {column: D, row: 1568, expected_value: All persons, label: sex} + - {column: E, row: 1568, expected_value: Employee, label: employment type} + - {column: J, row: 1568, expected_value: Value, label: measure} + - {column: L, row: 1569, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1570 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1570, expected_value: W92000004, label: geography} + - {column: D, row: 1570, expected_value: All persons, label: sex} + - {column: E, row: 1570, expected_value: Employee, label: employment type} + - {column: J, row: 1570, expected_value: Value, label: measure} + - {column: L, row: 1571, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1572 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1572, expected_value: W92000004, label: geography} + - {column: D, row: 1572, expected_value: All persons, label: sex} + - {column: E, row: 1572, expected_value: Employee, label: employment type} + - {column: J, row: 1572, expected_value: Value, label: measure} + - {column: L, row: 1573, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1574 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1574, expected_value: W92000004, label: geography} + - {column: D, row: 1574, expected_value: All persons, label: sex} + - {column: E, row: 1574, expected_value: Employee, label: employment type} + - {column: J, row: 1574, expected_value: Value, label: measure} + - {column: L, row: 1575, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1576 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1576, expected_value: W92000004, label: geography} + - {column: D, row: 1576, expected_value: All persons, label: sex} + - {column: E, row: 1576, expected_value: Employee, label: employment type} + - {column: J, row: 1576, expected_value: Value, label: measure} + - {column: L, row: 1577, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1578 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1578, expected_value: W92000004, label: geography} + - {column: D, row: 1578, expected_value: All persons, label: sex} + - {column: E, row: 1578, expected_value: Employee, label: employment type} + - {column: J, row: 1578, expected_value: Value, label: measure} + - {column: L, row: 1579, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1580 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1580, expected_value: W92000004, label: geography} + - {column: D, row: 1580, expected_value: All persons, label: sex} + - {column: E, row: 1580, expected_value: Employee, label: employment type} + - {column: J, row: 1580, expected_value: Value, label: measure} + - {column: L, row: 1581, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1582 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1582, expected_value: W92000004, label: geography} + - {column: D, row: 1582, expected_value: All persons, label: sex} + - {column: E, row: 1582, expected_value: Employee, label: employment type} + - {column: J, row: 1582, expected_value: Value, label: measure} + - {column: L, row: 1583, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1584 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1584, expected_value: W92000004, label: geography} + - {column: D, row: 1584, expected_value: All persons, label: sex} + - {column: E, row: 1584, expected_value: Employee, label: employment type} + - {column: J, row: 1584, expected_value: Value, label: measure} + - {column: L, row: 1585, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1515 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1515, expected_value: W92000004, label: geography} + - {column: D, row: 1515, expected_value: All persons, label: sex} + - {column: E, row: 1515, expected_value: Employee, label: employment type} + - {column: J, row: 1515, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1517 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1517, expected_value: W92000004, label: geography} + - {column: D, row: 1517, expected_value: All persons, label: sex} + - {column: E, row: 1517, expected_value: Employee, label: employment type} + - {column: J, row: 1517, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1519 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1519, expected_value: W92000004, label: geography} + - {column: D, row: 1519, expected_value: All persons, label: sex} + - {column: E, row: 1519, expected_value: Employee, label: employment type} + - {column: J, row: 1519, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1521 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1521, expected_value: W92000004, label: geography} + - {column: D, row: 1521, expected_value: All persons, label: sex} + - {column: E, row: 1521, expected_value: Employee, label: employment type} + - {column: J, row: 1521, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1523 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1523, expected_value: W92000004, label: geography} + - {column: D, row: 1523, expected_value: All persons, label: sex} + - {column: E, row: 1523, expected_value: Employee, label: employment type} + - {column: J, row: 1523, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1525 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1525, expected_value: W92000004, label: geography} + - {column: D, row: 1525, expected_value: All persons, label: sex} + - {column: E, row: 1525, expected_value: Employee, label: employment type} + - {column: J, row: 1525, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1527 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1527, expected_value: W92000004, label: geography} + - {column: D, row: 1527, expected_value: All persons, label: sex} + - {column: E, row: 1527, expected_value: Employee, label: employment type} + - {column: J, row: 1527, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1529 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1529, expected_value: W92000004, label: geography} + - {column: D, row: 1529, expected_value: All persons, label: sex} + - {column: E, row: 1529, expected_value: Employee, label: employment type} + - {column: J, row: 1529, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1531 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1531, expected_value: W92000004, label: geography} + - {column: D, row: 1531, expected_value: All persons, label: sex} + - {column: E, row: 1531, expected_value: Employee, label: employment type} + - {column: J, row: 1531, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1533 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1533, expected_value: W92000004, label: geography} + - {column: D, row: 1533, expected_value: All persons, label: sex} + - {column: E, row: 1533, expected_value: Employee, label: employment type} + - {column: J, row: 1533, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1535 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1535, expected_value: W92000004, label: geography} + - {column: D, row: 1535, expected_value: All persons, label: sex} + - {column: E, row: 1535, expected_value: Employee, label: employment type} + - {column: J, row: 1535, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1537 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1537, expected_value: W92000004, label: geography} + - {column: D, row: 1537, expected_value: All persons, label: sex} + - {column: E, row: 1537, expected_value: Employee, label: employment type} + - {column: J, row: 1537, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1539 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1539, expected_value: W92000004, label: geography} + - {column: D, row: 1539, expected_value: All persons, label: sex} + - {column: E, row: 1539, expected_value: Employee, label: employment type} + - {column: J, row: 1539, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1541 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1541, expected_value: W92000004, label: geography} + - {column: D, row: 1541, expected_value: All persons, label: sex} + - {column: E, row: 1541, expected_value: Employee, label: employment type} + - {column: J, row: 1541, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1543 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1543, expected_value: W92000004, label: geography} + - {column: D, row: 1543, expected_value: All persons, label: sex} + - {column: E, row: 1543, expected_value: Employee, label: employment type} + - {column: J, row: 1543, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1545 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1545, expected_value: W92000004, label: geography} + - {column: D, row: 1545, expected_value: All persons, label: sex} + - {column: E, row: 1545, expected_value: Employee, label: employment type} + - {column: J, row: 1545, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1547 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1547, expected_value: W92000004, label: geography} + - {column: D, row: 1547, expected_value: All persons, label: sex} + - {column: E, row: 1547, expected_value: Employee, label: employment type} + - {column: J, row: 1547, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1549 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1549, expected_value: W92000004, label: geography} + - {column: D, row: 1549, expected_value: All persons, label: sex} + - {column: E, row: 1549, expected_value: Employee, label: employment type} + - {column: J, row: 1549, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1551 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1551, expected_value: W92000004, label: geography} + - {column: D, row: 1551, expected_value: All persons, label: sex} + - {column: E, row: 1551, expected_value: Employee, label: employment type} + - {column: J, row: 1551, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1553 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1553, expected_value: W92000004, label: geography} + - {column: D, row: 1553, expected_value: All persons, label: sex} + - {column: E, row: 1553, expected_value: Employee, label: employment type} + - {column: J, row: 1553, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1555 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1555, expected_value: W92000004, label: geography} + - {column: D, row: 1555, expected_value: All persons, label: sex} + - {column: E, row: 1555, expected_value: Employee, label: employment type} + - {column: J, row: 1555, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1557 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1557, expected_value: W92000004, label: geography} + - {column: D, row: 1557, expected_value: All persons, label: sex} + - {column: E, row: 1557, expected_value: Employee, label: employment type} + - {column: J, row: 1557, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1559 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1559, expected_value: W92000004, label: geography} + - {column: D, row: 1559, expected_value: All persons, label: sex} + - {column: E, row: 1559, expected_value: Employee, label: employment type} + - {column: J, row: 1559, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1561 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1561, expected_value: W92000004, label: geography} + - {column: D, row: 1561, expected_value: All persons, label: sex} + - {column: E, row: 1561, expected_value: Employee, label: employment type} + - {column: J, row: 1561, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1563 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1563, expected_value: W92000004, label: geography} + - {column: D, row: 1563, expected_value: All persons, label: sex} + - {column: E, row: 1563, expected_value: Employee, label: employment type} + - {column: J, row: 1563, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1565 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1565, expected_value: W92000004, label: geography} + - {column: D, row: 1565, expected_value: All persons, label: sex} + - {column: E, row: 1565, expected_value: Employee, label: employment type} + - {column: J, row: 1565, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1569 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1569, expected_value: W92000004, label: geography} + - {column: D, row: 1569, expected_value: All persons, label: sex} + - {column: E, row: 1569, expected_value: Employee, label: employment type} + - {column: J, row: 1569, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1571 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1571, expected_value: W92000004, label: geography} + - {column: D, row: 1571, expected_value: All persons, label: sex} + - {column: E, row: 1571, expected_value: Employee, label: employment type} + - {column: J, row: 1571, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1573 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1573, expected_value: W92000004, label: geography} + - {column: D, row: 1573, expected_value: All persons, label: sex} + - {column: E, row: 1573, expected_value: Employee, label: employment type} + - {column: J, row: 1573, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1575 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1575, expected_value: W92000004, label: geography} + - {column: D, row: 1575, expected_value: All persons, label: sex} + - {column: E, row: 1575, expected_value: Employee, label: employment type} + - {column: J, row: 1575, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1577 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1577, expected_value: W92000004, label: geography} + - {column: D, row: 1577, expected_value: All persons, label: sex} + - {column: E, row: 1577, expected_value: Employee, label: employment type} + - {column: J, row: 1577, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1579 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1579, expected_value: W92000004, label: geography} + - {column: D, row: 1579, expected_value: All persons, label: sex} + - {column: E, row: 1579, expected_value: Employee, label: employment type} + - {column: J, row: 1579, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1581 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1581, expected_value: W92000004, label: geography} + - {column: D, row: 1581, expected_value: All persons, label: sex} + - {column: E, row: 1581, expected_value: Employee, label: employment type} + - {column: J, row: 1581, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1583 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1583, expected_value: W92000004, label: geography} + - {column: D, row: 1583, expected_value: All persons, label: sex} + - {column: E, row: 1583, expected_value: Employee, label: employment type} + - {column: J, row: 1583, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1585 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1585, expected_value: W92000004, label: geography} + - {column: D, row: 1585, expected_value: All persons, label: sex} + - {column: E, row: 1585, expected_value: Employee, label: employment type} + - {column: J, row: 1585, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1730 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1730, expected_value: W92000004, label: geography} + - {column: D, row: 1730, expected_value: All persons, label: sex} + - {column: E, row: 1730, expected_value: Self-employed, label: employment type} + - {column: J, row: 1730, expected_value: Value, label: measure} + - {column: L, row: 1731, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1732 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1732, expected_value: W92000004, label: geography} + - {column: D, row: 1732, expected_value: All persons, label: sex} + - {column: E, row: 1732, expected_value: Self-employed, label: employment type} + - {column: J, row: 1732, expected_value: Value, label: measure} + - {column: L, row: 1733, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1734 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1734, expected_value: W92000004, label: geography} + - {column: D, row: 1734, expected_value: All persons, label: sex} + - {column: E, row: 1734, expected_value: Self-employed, label: employment type} + - {column: J, row: 1734, expected_value: Value, label: measure} + - {column: L, row: 1735, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1736 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1736, expected_value: W92000004, label: geography} + - {column: D, row: 1736, expected_value: All persons, label: sex} + - {column: E, row: 1736, expected_value: Self-employed, label: employment type} + - {column: J, row: 1736, expected_value: Value, label: measure} + - {column: L, row: 1737, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1738 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1738, expected_value: W92000004, label: geography} + - {column: D, row: 1738, expected_value: All persons, label: sex} + - {column: E, row: 1738, expected_value: Self-employed, label: employment type} + - {column: J, row: 1738, expected_value: Value, label: measure} + - {column: L, row: 1739, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1740 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1740, expected_value: W92000004, label: geography} + - {column: D, row: 1740, expected_value: All persons, label: sex} + - {column: E, row: 1740, expected_value: Self-employed, label: employment type} + - {column: J, row: 1740, expected_value: Value, label: measure} + - {column: L, row: 1741, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1742 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1742, expected_value: W92000004, label: geography} + - {column: D, row: 1742, expected_value: All persons, label: sex} + - {column: E, row: 1742, expected_value: Self-employed, label: employment type} + - {column: J, row: 1742, expected_value: Value, label: measure} + - {column: L, row: 1743, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1744 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1744, expected_value: W92000004, label: geography} + - {column: D, row: 1744, expected_value: All persons, label: sex} + - {column: E, row: 1744, expected_value: Self-employed, label: employment type} + - {column: J, row: 1744, expected_value: Value, label: measure} + - {column: L, row: 1745, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1746 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1746, expected_value: W92000004, label: geography} + - {column: D, row: 1746, expected_value: All persons, label: sex} + - {column: E, row: 1746, expected_value: Self-employed, label: employment type} + - {column: J, row: 1746, expected_value: Value, label: measure} + - {column: L, row: 1747, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1748 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1748, expected_value: W92000004, label: geography} + - {column: D, row: 1748, expected_value: All persons, label: sex} + - {column: E, row: 1748, expected_value: Self-employed, label: employment type} + - {column: J, row: 1748, expected_value: Value, label: measure} + - {column: L, row: 1749, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1750 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1750, expected_value: W92000004, label: geography} + - {column: D, row: 1750, expected_value: All persons, label: sex} + - {column: E, row: 1750, expected_value: Self-employed, label: employment type} + - {column: J, row: 1750, expected_value: Value, label: measure} + - {column: L, row: 1751, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1752 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1752, expected_value: W92000004, label: geography} + - {column: D, row: 1752, expected_value: All persons, label: sex} + - {column: E, row: 1752, expected_value: Self-employed, label: employment type} + - {column: J, row: 1752, expected_value: Value, label: measure} + - {column: L, row: 1753, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1756 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1756, expected_value: W92000004, label: geography} + - {column: D, row: 1756, expected_value: All persons, label: sex} + - {column: E, row: 1756, expected_value: Self-employed, label: employment type} + - {column: J, row: 1756, expected_value: Value, label: measure} + - {column: L, row: 1757, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1758 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1758, expected_value: W92000004, label: geography} + - {column: D, row: 1758, expected_value: All persons, label: sex} + - {column: E, row: 1758, expected_value: Self-employed, label: employment type} + - {column: J, row: 1758, expected_value: Value, label: measure} + - {column: L, row: 1759, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1760 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1760, expected_value: W92000004, label: geography} + - {column: D, row: 1760, expected_value: All persons, label: sex} + - {column: E, row: 1760, expected_value: Self-employed, label: employment type} + - {column: J, row: 1760, expected_value: Value, label: measure} + - {column: L, row: 1761, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1762 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1762, expected_value: W92000004, label: geography} + - {column: D, row: 1762, expected_value: All persons, label: sex} + - {column: E, row: 1762, expected_value: Self-employed, label: employment type} + - {column: J, row: 1762, expected_value: Value, label: measure} + - {column: L, row: 1763, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1766 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1766, expected_value: W92000004, label: geography} + - {column: D, row: 1766, expected_value: All persons, label: sex} + - {column: E, row: 1766, expected_value: Self-employed, label: employment type} + - {column: J, row: 1766, expected_value: Value, label: measure} + - {column: L, row: 1767, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1768 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1768, expected_value: W92000004, label: geography} + - {column: D, row: 1768, expected_value: All persons, label: sex} + - {column: E, row: 1768, expected_value: Self-employed, label: employment type} + - {column: J, row: 1768, expected_value: Value, label: measure} + - {column: L, row: 1769, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1770 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1770, expected_value: W92000004, label: geography} + - {column: D, row: 1770, expected_value: All persons, label: sex} + - {column: E, row: 1770, expected_value: Self-employed, label: employment type} + - {column: J, row: 1770, expected_value: Value, label: measure} + - {column: L, row: 1771, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1772 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1772, expected_value: W92000004, label: geography} + - {column: D, row: 1772, expected_value: All persons, label: sex} + - {column: E, row: 1772, expected_value: Self-employed, label: employment type} + - {column: J, row: 1772, expected_value: Value, label: measure} + - {column: L, row: 1773, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1774 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1774, expected_value: W92000004, label: geography} + - {column: D, row: 1774, expected_value: All persons, label: sex} + - {column: E, row: 1774, expected_value: Self-employed, label: employment type} + - {column: J, row: 1774, expected_value: Value, label: measure} + - {column: L, row: 1775, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1776 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1776, expected_value: W92000004, label: geography} + - {column: D, row: 1776, expected_value: All persons, label: sex} + - {column: E, row: 1776, expected_value: Self-employed, label: employment type} + - {column: J, row: 1776, expected_value: Value, label: measure} + - {column: L, row: 1777, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1778 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1778, expected_value: W92000004, label: geography} + - {column: D, row: 1778, expected_value: All persons, label: sex} + - {column: E, row: 1778, expected_value: Self-employed, label: employment type} + - {column: J, row: 1778, expected_value: Value, label: measure} + - {column: L, row: 1779, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1780 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1780, expected_value: W92000004, label: geography} + - {column: D, row: 1780, expected_value: All persons, label: sex} + - {column: E, row: 1780, expected_value: Self-employed, label: employment type} + - {column: J, row: 1780, expected_value: Value, label: measure} + - {column: L, row: 1781, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1784 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1784, expected_value: W92000004, label: geography} + - {column: D, row: 1784, expected_value: All persons, label: sex} + - {column: E, row: 1784, expected_value: Self-employed, label: employment type} + - {column: J, row: 1784, expected_value: Value, label: measure} + - {column: L, row: 1785, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1786 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1786, expected_value: W92000004, label: geography} + - {column: D, row: 1786, expected_value: All persons, label: sex} + - {column: E, row: 1786, expected_value: Self-employed, label: employment type} + - {column: J, row: 1786, expected_value: Value, label: measure} + - {column: L, row: 1787, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1790 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1790, expected_value: W92000004, label: geography} + - {column: D, row: 1790, expected_value: All persons, label: sex} + - {column: E, row: 1790, expected_value: Self-employed, label: employment type} + - {column: J, row: 1790, expected_value: Value, label: measure} + - {column: L, row: 1791, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1792 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1792, expected_value: W92000004, label: geography} + - {column: D, row: 1792, expected_value: All persons, label: sex} + - {column: E, row: 1792, expected_value: Self-employed, label: employment type} + - {column: J, row: 1792, expected_value: Value, label: measure} + - {column: L, row: 1793, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1794 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1794, expected_value: W92000004, label: geography} + - {column: D, row: 1794, expected_value: All persons, label: sex} + - {column: E, row: 1794, expected_value: Self-employed, label: employment type} + - {column: J, row: 1794, expected_value: Value, label: measure} + - {column: L, row: 1795, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1796 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1796, expected_value: W92000004, label: geography} + - {column: D, row: 1796, expected_value: All persons, label: sex} + - {column: E, row: 1796, expected_value: Self-employed, label: employment type} + - {column: J, row: 1796, expected_value: Value, label: measure} + - {column: L, row: 1797, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1798 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1798, expected_value: W92000004, label: geography} + - {column: D, row: 1798, expected_value: All persons, label: sex} + - {column: E, row: 1798, expected_value: Self-employed, label: employment type} + - {column: J, row: 1798, expected_value: Value, label: measure} + - {column: L, row: 1799, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1800 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1800, expected_value: W92000004, label: geography} + - {column: D, row: 1800, expected_value: All persons, label: sex} + - {column: E, row: 1800, expected_value: Self-employed, label: employment type} + - {column: J, row: 1800, expected_value: Value, label: measure} + - {column: L, row: 1801, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1731 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1731, expected_value: W92000004, label: geography} + - {column: D, row: 1731, expected_value: All persons, label: sex} + - {column: E, row: 1731, expected_value: Self-employed, label: employment type} + - {column: J, row: 1731, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1733 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1733, expected_value: W92000004, label: geography} + - {column: D, row: 1733, expected_value: All persons, label: sex} + - {column: E, row: 1733, expected_value: Self-employed, label: employment type} + - {column: J, row: 1733, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1735 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1735, expected_value: W92000004, label: geography} + - {column: D, row: 1735, expected_value: All persons, label: sex} + - {column: E, row: 1735, expected_value: Self-employed, label: employment type} + - {column: J, row: 1735, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1737 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1737, expected_value: W92000004, label: geography} + - {column: D, row: 1737, expected_value: All persons, label: sex} + - {column: E, row: 1737, expected_value: Self-employed, label: employment type} + - {column: J, row: 1737, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1739 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1739, expected_value: W92000004, label: geography} + - {column: D, row: 1739, expected_value: All persons, label: sex} + - {column: E, row: 1739, expected_value: Self-employed, label: employment type} + - {column: J, row: 1739, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1741 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1741, expected_value: W92000004, label: geography} + - {column: D, row: 1741, expected_value: All persons, label: sex} + - {column: E, row: 1741, expected_value: Self-employed, label: employment type} + - {column: J, row: 1741, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1743 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1743, expected_value: W92000004, label: geography} + - {column: D, row: 1743, expected_value: All persons, label: sex} + - {column: E, row: 1743, expected_value: Self-employed, label: employment type} + - {column: J, row: 1743, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1745 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1745, expected_value: W92000004, label: geography} + - {column: D, row: 1745, expected_value: All persons, label: sex} + - {column: E, row: 1745, expected_value: Self-employed, label: employment type} + - {column: J, row: 1745, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1747 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1747, expected_value: W92000004, label: geography} + - {column: D, row: 1747, expected_value: All persons, label: sex} + - {column: E, row: 1747, expected_value: Self-employed, label: employment type} + - {column: J, row: 1747, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1749 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1749, expected_value: W92000004, label: geography} + - {column: D, row: 1749, expected_value: All persons, label: sex} + - {column: E, row: 1749, expected_value: Self-employed, label: employment type} + - {column: J, row: 1749, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1753 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1753, expected_value: W92000004, label: geography} + - {column: D, row: 1753, expected_value: All persons, label: sex} + - {column: E, row: 1753, expected_value: Self-employed, label: employment type} + - {column: J, row: 1753, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1757 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1757, expected_value: W92000004, label: geography} + - {column: D, row: 1757, expected_value: All persons, label: sex} + - {column: E, row: 1757, expected_value: Self-employed, label: employment type} + - {column: J, row: 1757, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1759 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1759, expected_value: W92000004, label: geography} + - {column: D, row: 1759, expected_value: All persons, label: sex} + - {column: E, row: 1759, expected_value: Self-employed, label: employment type} + - {column: J, row: 1759, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1761 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1761, expected_value: W92000004, label: geography} + - {column: D, row: 1761, expected_value: All persons, label: sex} + - {column: E, row: 1761, expected_value: Self-employed, label: employment type} + - {column: J, row: 1761, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1763 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1763, expected_value: W92000004, label: geography} + - {column: D, row: 1763, expected_value: All persons, label: sex} + - {column: E, row: 1763, expected_value: Self-employed, label: employment type} + - {column: J, row: 1763, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1767 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1767, expected_value: W92000004, label: geography} + - {column: D, row: 1767, expected_value: All persons, label: sex} + - {column: E, row: 1767, expected_value: Self-employed, label: employment type} + - {column: J, row: 1767, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1769 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1769, expected_value: W92000004, label: geography} + - {column: D, row: 1769, expected_value: All persons, label: sex} + - {column: E, row: 1769, expected_value: Self-employed, label: employment type} + - {column: J, row: 1769, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1771 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1771, expected_value: W92000004, label: geography} + - {column: D, row: 1771, expected_value: All persons, label: sex} + - {column: E, row: 1771, expected_value: Self-employed, label: employment type} + - {column: J, row: 1771, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1773 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1773, expected_value: W92000004, label: geography} + - {column: D, row: 1773, expected_value: All persons, label: sex} + - {column: E, row: 1773, expected_value: Self-employed, label: employment type} + - {column: J, row: 1773, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1775 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1775, expected_value: W92000004, label: geography} + - {column: D, row: 1775, expected_value: All persons, label: sex} + - {column: E, row: 1775, expected_value: Self-employed, label: employment type} + - {column: J, row: 1775, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1777 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1777, expected_value: W92000004, label: geography} + - {column: D, row: 1777, expected_value: All persons, label: sex} + - {column: E, row: 1777, expected_value: Self-employed, label: employment type} + - {column: J, row: 1777, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1779 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1779, expected_value: W92000004, label: geography} + - {column: D, row: 1779, expected_value: All persons, label: sex} + - {column: E, row: 1779, expected_value: Self-employed, label: employment type} + - {column: J, row: 1779, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1781 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1781, expected_value: W92000004, label: geography} + - {column: D, row: 1781, expected_value: All persons, label: sex} + - {column: E, row: 1781, expected_value: Self-employed, label: employment type} + - {column: J, row: 1781, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1785 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1785, expected_value: W92000004, label: geography} + - {column: D, row: 1785, expected_value: All persons, label: sex} + - {column: E, row: 1785, expected_value: Self-employed, label: employment type} + - {column: J, row: 1785, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1787 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1787, expected_value: W92000004, label: geography} + - {column: D, row: 1787, expected_value: All persons, label: sex} + - {column: E, row: 1787, expected_value: Self-employed, label: employment type} + - {column: J, row: 1787, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1791 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1791, expected_value: W92000004, label: geography} + - {column: D, row: 1791, expected_value: All persons, label: sex} + - {column: E, row: 1791, expected_value: Self-employed, label: employment type} + - {column: J, row: 1791, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1793 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1793, expected_value: W92000004, label: geography} + - {column: D, row: 1793, expected_value: All persons, label: sex} + - {column: E, row: 1793, expected_value: Self-employed, label: employment type} + - {column: J, row: 1793, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1795 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1795, expected_value: W92000004, label: geography} + - {column: D, row: 1795, expected_value: All persons, label: sex} + - {column: E, row: 1795, expected_value: Self-employed, label: employment type} + - {column: J, row: 1795, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1797 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1797, expected_value: W92000004, label: geography} + - {column: D, row: 1797, expected_value: All persons, label: sex} + - {column: E, row: 1797, expected_value: Self-employed, label: employment type} + - {column: J, row: 1797, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1799 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1799, expected_value: W92000004, label: geography} + - {column: D, row: 1799, expected_value: All persons, label: sex} + - {column: E, row: 1799, expected_value: Self-employed, label: employment type} + - {column: J, row: 1799, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1801 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1801, expected_value: W92000004, label: geography} + - {column: D, row: 1801, expected_value: All persons, label: sex} + - {column: E, row: 1801, expected_value: Self-employed, label: employment type} + - {column: J, row: 1801, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1370 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1370, expected_value: W92000004, label: geography} + - {column: D, row: 1370, expected_value: Males, label: sex} + - {column: E, row: 1370, expected_value: Total, label: employment type} + - {column: J, row: 1370, expected_value: Value, label: measure} + - {column: L, row: 1371, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1372 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1372, expected_value: W92000004, label: geography} + - {column: D, row: 1372, expected_value: Males, label: sex} + - {column: E, row: 1372, expected_value: Total, label: employment type} + - {column: J, row: 1372, expected_value: Value, label: measure} + - {column: L, row: 1373, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1374 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1374, expected_value: W92000004, label: geography} + - {column: D, row: 1374, expected_value: Males, label: sex} + - {column: E, row: 1374, expected_value: Total, label: employment type} + - {column: J, row: 1374, expected_value: Value, label: measure} + - {column: L, row: 1375, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1376 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1376, expected_value: W92000004, label: geography} + - {column: D, row: 1376, expected_value: Males, label: sex} + - {column: E, row: 1376, expected_value: Total, label: employment type} + - {column: J, row: 1376, expected_value: Value, label: measure} + - {column: L, row: 1377, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1378 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1378, expected_value: W92000004, label: geography} + - {column: D, row: 1378, expected_value: Males, label: sex} + - {column: E, row: 1378, expected_value: Total, label: employment type} + - {column: J, row: 1378, expected_value: Value, label: measure} + - {column: L, row: 1379, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1380 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1380, expected_value: W92000004, label: geography} + - {column: D, row: 1380, expected_value: Males, label: sex} + - {column: E, row: 1380, expected_value: Total, label: employment type} + - {column: J, row: 1380, expected_value: Value, label: measure} + - {column: L, row: 1381, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1382 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1382, expected_value: W92000004, label: geography} + - {column: D, row: 1382, expected_value: Males, label: sex} + - {column: E, row: 1382, expected_value: Total, label: employment type} + - {column: J, row: 1382, expected_value: Value, label: measure} + - {column: L, row: 1383, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1384 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1384, expected_value: W92000004, label: geography} + - {column: D, row: 1384, expected_value: Males, label: sex} + - {column: E, row: 1384, expected_value: Total, label: employment type} + - {column: J, row: 1384, expected_value: Value, label: measure} + - {column: L, row: 1385, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1386 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1386, expected_value: W92000004, label: geography} + - {column: D, row: 1386, expected_value: Males, label: sex} + - {column: E, row: 1386, expected_value: Total, label: employment type} + - {column: J, row: 1386, expected_value: Value, label: measure} + - {column: L, row: 1387, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1388 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1388, expected_value: W92000004, label: geography} + - {column: D, row: 1388, expected_value: Males, label: sex} + - {column: E, row: 1388, expected_value: Total, label: employment type} + - {column: J, row: 1388, expected_value: Value, label: measure} + - {column: L, row: 1389, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1390 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1390, expected_value: W92000004, label: geography} + - {column: D, row: 1390, expected_value: Males, label: sex} + - {column: E, row: 1390, expected_value: Total, label: employment type} + - {column: J, row: 1390, expected_value: Value, label: measure} + - {column: L, row: 1391, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1392 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1392, expected_value: W92000004, label: geography} + - {column: D, row: 1392, expected_value: Males, label: sex} + - {column: E, row: 1392, expected_value: Total, label: employment type} + - {column: J, row: 1392, expected_value: Value, label: measure} + - {column: L, row: 1393, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1394 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1394, expected_value: W92000004, label: geography} + - {column: D, row: 1394, expected_value: Males, label: sex} + - {column: E, row: 1394, expected_value: Total, label: employment type} + - {column: J, row: 1394, expected_value: Value, label: measure} + - {column: L, row: 1395, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1396 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1396, expected_value: W92000004, label: geography} + - {column: D, row: 1396, expected_value: Males, label: sex} + - {column: E, row: 1396, expected_value: Total, label: employment type} + - {column: J, row: 1396, expected_value: Value, label: measure} + - {column: L, row: 1397, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1398 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1398, expected_value: W92000004, label: geography} + - {column: D, row: 1398, expected_value: Males, label: sex} + - {column: E, row: 1398, expected_value: Total, label: employment type} + - {column: J, row: 1398, expected_value: Value, label: measure} + - {column: L, row: 1399, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1400 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1400, expected_value: W92000004, label: geography} + - {column: D, row: 1400, expected_value: Males, label: sex} + - {column: E, row: 1400, expected_value: Total, label: employment type} + - {column: J, row: 1400, expected_value: Value, label: measure} + - {column: L, row: 1401, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1402 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1402, expected_value: W92000004, label: geography} + - {column: D, row: 1402, expected_value: Males, label: sex} + - {column: E, row: 1402, expected_value: Total, label: employment type} + - {column: J, row: 1402, expected_value: Value, label: measure} + - {column: L, row: 1403, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1404 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1404, expected_value: W92000004, label: geography} + - {column: D, row: 1404, expected_value: Males, label: sex} + - {column: E, row: 1404, expected_value: Total, label: employment type} + - {column: J, row: 1404, expected_value: Value, label: measure} + - {column: L, row: 1405, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1406 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1406, expected_value: W92000004, label: geography} + - {column: D, row: 1406, expected_value: Males, label: sex} + - {column: E, row: 1406, expected_value: Total, label: employment type} + - {column: J, row: 1406, expected_value: Value, label: measure} + - {column: L, row: 1407, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1408 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1408, expected_value: W92000004, label: geography} + - {column: D, row: 1408, expected_value: Males, label: sex} + - {column: E, row: 1408, expected_value: Total, label: employment type} + - {column: J, row: 1408, expected_value: Value, label: measure} + - {column: L, row: 1409, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1410 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1410, expected_value: W92000004, label: geography} + - {column: D, row: 1410, expected_value: Males, label: sex} + - {column: E, row: 1410, expected_value: Total, label: employment type} + - {column: J, row: 1410, expected_value: Value, label: measure} + - {column: L, row: 1411, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1412 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1412, expected_value: W92000004, label: geography} + - {column: D, row: 1412, expected_value: Males, label: sex} + - {column: E, row: 1412, expected_value: Total, label: employment type} + - {column: J, row: 1412, expected_value: Value, label: measure} + - {column: L, row: 1413, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1414 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1414, expected_value: W92000004, label: geography} + - {column: D, row: 1414, expected_value: Males, label: sex} + - {column: E, row: 1414, expected_value: Total, label: employment type} + - {column: J, row: 1414, expected_value: Value, label: measure} + - {column: L, row: 1415, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1416 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1416, expected_value: W92000004, label: geography} + - {column: D, row: 1416, expected_value: Males, label: sex} + - {column: E, row: 1416, expected_value: Total, label: employment type} + - {column: J, row: 1416, expected_value: Value, label: measure} + - {column: L, row: 1417, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1418 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1418, expected_value: W92000004, label: geography} + - {column: D, row: 1418, expected_value: Males, label: sex} + - {column: E, row: 1418, expected_value: Total, label: employment type} + - {column: J, row: 1418, expected_value: Value, label: measure} + - {column: L, row: 1419, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1420 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1420, expected_value: W92000004, label: geography} + - {column: D, row: 1420, expected_value: Males, label: sex} + - {column: E, row: 1420, expected_value: Total, label: employment type} + - {column: J, row: 1420, expected_value: Value, label: measure} + - {column: L, row: 1421, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1422 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1422, expected_value: W92000004, label: geography} + - {column: D, row: 1422, expected_value: Males, label: sex} + - {column: E, row: 1422, expected_value: Total, label: employment type} + - {column: J, row: 1422, expected_value: Value, label: measure} + - {column: L, row: 1423, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1424 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1424, expected_value: W92000004, label: geography} + - {column: D, row: 1424, expected_value: Males, label: sex} + - {column: E, row: 1424, expected_value: Total, label: employment type} + - {column: J, row: 1424, expected_value: Value, label: measure} + - {column: L, row: 1425, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1426 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1426, expected_value: W92000004, label: geography} + - {column: D, row: 1426, expected_value: Males, label: sex} + - {column: E, row: 1426, expected_value: Total, label: employment type} + - {column: J, row: 1426, expected_value: Value, label: measure} + - {column: L, row: 1427, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1428 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1428, expected_value: W92000004, label: geography} + - {column: D, row: 1428, expected_value: Males, label: sex} + - {column: E, row: 1428, expected_value: Total, label: employment type} + - {column: J, row: 1428, expected_value: Value, label: measure} + - {column: L, row: 1429, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1430 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1430, expected_value: W92000004, label: geography} + - {column: D, row: 1430, expected_value: Males, label: sex} + - {column: E, row: 1430, expected_value: Total, label: employment type} + - {column: J, row: 1430, expected_value: Value, label: measure} + - {column: L, row: 1431, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1432 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1432, expected_value: W92000004, label: geography} + - {column: D, row: 1432, expected_value: Males, label: sex} + - {column: E, row: 1432, expected_value: Total, label: employment type} + - {column: J, row: 1432, expected_value: Value, label: measure} + - {column: L, row: 1433, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1434 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1434, expected_value: W92000004, label: geography} + - {column: D, row: 1434, expected_value: Males, label: sex} + - {column: E, row: 1434, expected_value: Total, label: employment type} + - {column: J, row: 1434, expected_value: Value, label: measure} + - {column: L, row: 1435, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1436 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1436, expected_value: W92000004, label: geography} + - {column: D, row: 1436, expected_value: Males, label: sex} + - {column: E, row: 1436, expected_value: Total, label: employment type} + - {column: J, row: 1436, expected_value: Value, label: measure} + - {column: L, row: 1437, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1438 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1438, expected_value: W92000004, label: geography} + - {column: D, row: 1438, expected_value: Males, label: sex} + - {column: E, row: 1438, expected_value: Total, label: employment type} + - {column: J, row: 1438, expected_value: Value, label: measure} + - {column: L, row: 1439, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1440 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1440, expected_value: W92000004, label: geography} + - {column: D, row: 1440, expected_value: Males, label: sex} + - {column: E, row: 1440, expected_value: Total, label: employment type} + - {column: J, row: 1440, expected_value: Value, label: measure} + - {column: L, row: 1441, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1371 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1371, expected_value: W92000004, label: geography} + - {column: D, row: 1371, expected_value: Males, label: sex} + - {column: E, row: 1371, expected_value: Total, label: employment type} + - {column: J, row: 1371, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1373 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1373, expected_value: W92000004, label: geography} + - {column: D, row: 1373, expected_value: Males, label: sex} + - {column: E, row: 1373, expected_value: Total, label: employment type} + - {column: J, row: 1373, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1375 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1375, expected_value: W92000004, label: geography} + - {column: D, row: 1375, expected_value: Males, label: sex} + - {column: E, row: 1375, expected_value: Total, label: employment type} + - {column: J, row: 1375, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1377 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1377, expected_value: W92000004, label: geography} + - {column: D, row: 1377, expected_value: Males, label: sex} + - {column: E, row: 1377, expected_value: Total, label: employment type} + - {column: J, row: 1377, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1379 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1379, expected_value: W92000004, label: geography} + - {column: D, row: 1379, expected_value: Males, label: sex} + - {column: E, row: 1379, expected_value: Total, label: employment type} + - {column: J, row: 1379, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1381 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1381, expected_value: W92000004, label: geography} + - {column: D, row: 1381, expected_value: Males, label: sex} + - {column: E, row: 1381, expected_value: Total, label: employment type} + - {column: J, row: 1381, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1383 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1383, expected_value: W92000004, label: geography} + - {column: D, row: 1383, expected_value: Males, label: sex} + - {column: E, row: 1383, expected_value: Total, label: employment type} + - {column: J, row: 1383, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1385 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1385, expected_value: W92000004, label: geography} + - {column: D, row: 1385, expected_value: Males, label: sex} + - {column: E, row: 1385, expected_value: Total, label: employment type} + - {column: J, row: 1385, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1387 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1387, expected_value: W92000004, label: geography} + - {column: D, row: 1387, expected_value: Males, label: sex} + - {column: E, row: 1387, expected_value: Total, label: employment type} + - {column: J, row: 1387, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1389 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1389, expected_value: W92000004, label: geography} + - {column: D, row: 1389, expected_value: Males, label: sex} + - {column: E, row: 1389, expected_value: Total, label: employment type} + - {column: J, row: 1389, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1391 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1391, expected_value: W92000004, label: geography} + - {column: D, row: 1391, expected_value: Males, label: sex} + - {column: E, row: 1391, expected_value: Total, label: employment type} + - {column: J, row: 1391, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1393 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1393, expected_value: W92000004, label: geography} + - {column: D, row: 1393, expected_value: Males, label: sex} + - {column: E, row: 1393, expected_value: Total, label: employment type} + - {column: J, row: 1393, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1395 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1395, expected_value: W92000004, label: geography} + - {column: D, row: 1395, expected_value: Males, label: sex} + - {column: E, row: 1395, expected_value: Total, label: employment type} + - {column: J, row: 1395, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1397 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1397, expected_value: W92000004, label: geography} + - {column: D, row: 1397, expected_value: Males, label: sex} + - {column: E, row: 1397, expected_value: Total, label: employment type} + - {column: J, row: 1397, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1399 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1399, expected_value: W92000004, label: geography} + - {column: D, row: 1399, expected_value: Males, label: sex} + - {column: E, row: 1399, expected_value: Total, label: employment type} + - {column: J, row: 1399, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1401 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1401, expected_value: W92000004, label: geography} + - {column: D, row: 1401, expected_value: Males, label: sex} + - {column: E, row: 1401, expected_value: Total, label: employment type} + - {column: J, row: 1401, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1403 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1403, expected_value: W92000004, label: geography} + - {column: D, row: 1403, expected_value: Males, label: sex} + - {column: E, row: 1403, expected_value: Total, label: employment type} + - {column: J, row: 1403, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1407 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1407, expected_value: W92000004, label: geography} + - {column: D, row: 1407, expected_value: Males, label: sex} + - {column: E, row: 1407, expected_value: Total, label: employment type} + - {column: J, row: 1407, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1409 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1409, expected_value: W92000004, label: geography} + - {column: D, row: 1409, expected_value: Males, label: sex} + - {column: E, row: 1409, expected_value: Total, label: employment type} + - {column: J, row: 1409, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1411 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1411, expected_value: W92000004, label: geography} + - {column: D, row: 1411, expected_value: Males, label: sex} + - {column: E, row: 1411, expected_value: Total, label: employment type} + - {column: J, row: 1411, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1413 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1413, expected_value: W92000004, label: geography} + - {column: D, row: 1413, expected_value: Males, label: sex} + - {column: E, row: 1413, expected_value: Total, label: employment type} + - {column: J, row: 1413, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1415 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1415, expected_value: W92000004, label: geography} + - {column: D, row: 1415, expected_value: Males, label: sex} + - {column: E, row: 1415, expected_value: Total, label: employment type} + - {column: J, row: 1415, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1417 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1417, expected_value: W92000004, label: geography} + - {column: D, row: 1417, expected_value: Males, label: sex} + - {column: E, row: 1417, expected_value: Total, label: employment type} + - {column: J, row: 1417, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1419 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1419, expected_value: W92000004, label: geography} + - {column: D, row: 1419, expected_value: Males, label: sex} + - {column: E, row: 1419, expected_value: Total, label: employment type} + - {column: J, row: 1419, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1421 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1421, expected_value: W92000004, label: geography} + - {column: D, row: 1421, expected_value: Males, label: sex} + - {column: E, row: 1421, expected_value: Total, label: employment type} + - {column: J, row: 1421, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1425 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1425, expected_value: W92000004, label: geography} + - {column: D, row: 1425, expected_value: Males, label: sex} + - {column: E, row: 1425, expected_value: Total, label: employment type} + - {column: J, row: 1425, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1427 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1427, expected_value: W92000004, label: geography} + - {column: D, row: 1427, expected_value: Males, label: sex} + - {column: E, row: 1427, expected_value: Total, label: employment type} + - {column: J, row: 1427, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1429 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1429, expected_value: W92000004, label: geography} + - {column: D, row: 1429, expected_value: Males, label: sex} + - {column: E, row: 1429, expected_value: Total, label: employment type} + - {column: J, row: 1429, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1431 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1431, expected_value: W92000004, label: geography} + - {column: D, row: 1431, expected_value: Males, label: sex} + - {column: E, row: 1431, expected_value: Total, label: employment type} + - {column: J, row: 1431, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1433 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1433, expected_value: W92000004, label: geography} + - {column: D, row: 1433, expected_value: Males, label: sex} + - {column: E, row: 1433, expected_value: Total, label: employment type} + - {column: J, row: 1433, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1435 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1435, expected_value: W92000004, label: geography} + - {column: D, row: 1435, expected_value: Males, label: sex} + - {column: E, row: 1435, expected_value: Total, label: employment type} + - {column: J, row: 1435, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1437 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1437, expected_value: W92000004, label: geography} + - {column: D, row: 1437, expected_value: Males, label: sex} + - {column: E, row: 1437, expected_value: Total, label: employment type} + - {column: J, row: 1437, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1439 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1439, expected_value: W92000004, label: geography} + - {column: D, row: 1439, expected_value: Males, label: sex} + - {column: E, row: 1439, expected_value: Total, label: employment type} + - {column: J, row: 1439, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1441 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1441, expected_value: W92000004, label: geography} + - {column: D, row: 1441, expected_value: Males, label: sex} + - {column: E, row: 1441, expected_value: Total, label: employment type} + - {column: J, row: 1441, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1586 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1586, expected_value: W92000004, label: geography} + - {column: D, row: 1586, expected_value: Males, label: sex} + - {column: E, row: 1586, expected_value: Employee, label: employment type} + - {column: J, row: 1586, expected_value: Value, label: measure} + - {column: L, row: 1587, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1588 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1588, expected_value: W92000004, label: geography} + - {column: D, row: 1588, expected_value: Males, label: sex} + - {column: E, row: 1588, expected_value: Employee, label: employment type} + - {column: J, row: 1588, expected_value: Value, label: measure} + - {column: L, row: 1589, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1590 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1590, expected_value: W92000004, label: geography} + - {column: D, row: 1590, expected_value: Males, label: sex} + - {column: E, row: 1590, expected_value: Employee, label: employment type} + - {column: J, row: 1590, expected_value: Value, label: measure} + - {column: L, row: 1591, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1592 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1592, expected_value: W92000004, label: geography} + - {column: D, row: 1592, expected_value: Males, label: sex} + - {column: E, row: 1592, expected_value: Employee, label: employment type} + - {column: J, row: 1592, expected_value: Value, label: measure} + - {column: L, row: 1593, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1594 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1594, expected_value: W92000004, label: geography} + - {column: D, row: 1594, expected_value: Males, label: sex} + - {column: E, row: 1594, expected_value: Employee, label: employment type} + - {column: J, row: 1594, expected_value: Value, label: measure} + - {column: L, row: 1595, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1596 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1596, expected_value: W92000004, label: geography} + - {column: D, row: 1596, expected_value: Males, label: sex} + - {column: E, row: 1596, expected_value: Employee, label: employment type} + - {column: J, row: 1596, expected_value: Value, label: measure} + - {column: L, row: 1597, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1598 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1598, expected_value: W92000004, label: geography} + - {column: D, row: 1598, expected_value: Males, label: sex} + - {column: E, row: 1598, expected_value: Employee, label: employment type} + - {column: J, row: 1598, expected_value: Value, label: measure} + - {column: L, row: 1599, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1600 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1600, expected_value: W92000004, label: geography} + - {column: D, row: 1600, expected_value: Males, label: sex} + - {column: E, row: 1600, expected_value: Employee, label: employment type} + - {column: J, row: 1600, expected_value: Value, label: measure} + - {column: L, row: 1601, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1602 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1602, expected_value: W92000004, label: geography} + - {column: D, row: 1602, expected_value: Males, label: sex} + - {column: E, row: 1602, expected_value: Employee, label: employment type} + - {column: J, row: 1602, expected_value: Value, label: measure} + - {column: L, row: 1603, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1604 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1604, expected_value: W92000004, label: geography} + - {column: D, row: 1604, expected_value: Males, label: sex} + - {column: E, row: 1604, expected_value: Employee, label: employment type} + - {column: J, row: 1604, expected_value: Value, label: measure} + - {column: L, row: 1605, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1606 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1606, expected_value: W92000004, label: geography} + - {column: D, row: 1606, expected_value: Males, label: sex} + - {column: E, row: 1606, expected_value: Employee, label: employment type} + - {column: J, row: 1606, expected_value: Value, label: measure} + - {column: L, row: 1607, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1608 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1608, expected_value: W92000004, label: geography} + - {column: D, row: 1608, expected_value: Males, label: sex} + - {column: E, row: 1608, expected_value: Employee, label: employment type} + - {column: J, row: 1608, expected_value: Value, label: measure} + - {column: L, row: 1609, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1610 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1610, expected_value: W92000004, label: geography} + - {column: D, row: 1610, expected_value: Males, label: sex} + - {column: E, row: 1610, expected_value: Employee, label: employment type} + - {column: J, row: 1610, expected_value: Value, label: measure} + - {column: L, row: 1611, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1612 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1612, expected_value: W92000004, label: geography} + - {column: D, row: 1612, expected_value: Males, label: sex} + - {column: E, row: 1612, expected_value: Employee, label: employment type} + - {column: J, row: 1612, expected_value: Value, label: measure} + - {column: L, row: 1613, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1614 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1614, expected_value: W92000004, label: geography} + - {column: D, row: 1614, expected_value: Males, label: sex} + - {column: E, row: 1614, expected_value: Employee, label: employment type} + - {column: J, row: 1614, expected_value: Value, label: measure} + - {column: L, row: 1615, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1616 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1616, expected_value: W92000004, label: geography} + - {column: D, row: 1616, expected_value: Males, label: sex} + - {column: E, row: 1616, expected_value: Employee, label: employment type} + - {column: J, row: 1616, expected_value: Value, label: measure} + - {column: L, row: 1617, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1618 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1618, expected_value: W92000004, label: geography} + - {column: D, row: 1618, expected_value: Males, label: sex} + - {column: E, row: 1618, expected_value: Employee, label: employment type} + - {column: J, row: 1618, expected_value: Value, label: measure} + - {column: L, row: 1619, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1620 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1620, expected_value: W92000004, label: geography} + - {column: D, row: 1620, expected_value: Males, label: sex} + - {column: E, row: 1620, expected_value: Employee, label: employment type} + - {column: J, row: 1620, expected_value: Value, label: measure} + - {column: L, row: 1621, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1622 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1622, expected_value: W92000004, label: geography} + - {column: D, row: 1622, expected_value: Males, label: sex} + - {column: E, row: 1622, expected_value: Employee, label: employment type} + - {column: J, row: 1622, expected_value: Value, label: measure} + - {column: L, row: 1623, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1624 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1624, expected_value: W92000004, label: geography} + - {column: D, row: 1624, expected_value: Males, label: sex} + - {column: E, row: 1624, expected_value: Employee, label: employment type} + - {column: J, row: 1624, expected_value: Value, label: measure} + - {column: L, row: 1625, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1626 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1626, expected_value: W92000004, label: geography} + - {column: D, row: 1626, expected_value: Males, label: sex} + - {column: E, row: 1626, expected_value: Employee, label: employment type} + - {column: J, row: 1626, expected_value: Value, label: measure} + - {column: L, row: 1627, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1628 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1628, expected_value: W92000004, label: geography} + - {column: D, row: 1628, expected_value: Males, label: sex} + - {column: E, row: 1628, expected_value: Employee, label: employment type} + - {column: J, row: 1628, expected_value: Value, label: measure} + - {column: L, row: 1629, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1630 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1630, expected_value: W92000004, label: geography} + - {column: D, row: 1630, expected_value: Males, label: sex} + - {column: E, row: 1630, expected_value: Employee, label: employment type} + - {column: J, row: 1630, expected_value: Value, label: measure} + - {column: L, row: 1631, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1632 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1632, expected_value: W92000004, label: geography} + - {column: D, row: 1632, expected_value: Males, label: sex} + - {column: E, row: 1632, expected_value: Employee, label: employment type} + - {column: J, row: 1632, expected_value: Value, label: measure} + - {column: L, row: 1633, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1634 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1634, expected_value: W92000004, label: geography} + - {column: D, row: 1634, expected_value: Males, label: sex} + - {column: E, row: 1634, expected_value: Employee, label: employment type} + - {column: J, row: 1634, expected_value: Value, label: measure} + - {column: L, row: 1635, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1636 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1636, expected_value: W92000004, label: geography} + - {column: D, row: 1636, expected_value: Males, label: sex} + - {column: E, row: 1636, expected_value: Employee, label: employment type} + - {column: J, row: 1636, expected_value: Value, label: measure} + - {column: L, row: 1637, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1638 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1638, expected_value: W92000004, label: geography} + - {column: D, row: 1638, expected_value: Males, label: sex} + - {column: E, row: 1638, expected_value: Employee, label: employment type} + - {column: J, row: 1638, expected_value: Value, label: measure} + - {column: L, row: 1639, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1640 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1640, expected_value: W92000004, label: geography} + - {column: D, row: 1640, expected_value: Males, label: sex} + - {column: E, row: 1640, expected_value: Employee, label: employment type} + - {column: J, row: 1640, expected_value: Value, label: measure} + - {column: L, row: 1641, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1642 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1642, expected_value: W92000004, label: geography} + - {column: D, row: 1642, expected_value: Males, label: sex} + - {column: E, row: 1642, expected_value: Employee, label: employment type} + - {column: J, row: 1642, expected_value: Value, label: measure} + - {column: L, row: 1643, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1644 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1644, expected_value: W92000004, label: geography} + - {column: D, row: 1644, expected_value: Males, label: sex} + - {column: E, row: 1644, expected_value: Employee, label: employment type} + - {column: J, row: 1644, expected_value: Value, label: measure} + - {column: L, row: 1645, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1646 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1646, expected_value: W92000004, label: geography} + - {column: D, row: 1646, expected_value: Males, label: sex} + - {column: E, row: 1646, expected_value: Employee, label: employment type} + - {column: J, row: 1646, expected_value: Value, label: measure} + - {column: L, row: 1647, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1648 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1648, expected_value: W92000004, label: geography} + - {column: D, row: 1648, expected_value: Males, label: sex} + - {column: E, row: 1648, expected_value: Employee, label: employment type} + - {column: J, row: 1648, expected_value: Value, label: measure} + - {column: L, row: 1649, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1650 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1650, expected_value: W92000004, label: geography} + - {column: D, row: 1650, expected_value: Males, label: sex} + - {column: E, row: 1650, expected_value: Employee, label: employment type} + - {column: J, row: 1650, expected_value: Value, label: measure} + - {column: L, row: 1651, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1652 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1652, expected_value: W92000004, label: geography} + - {column: D, row: 1652, expected_value: Males, label: sex} + - {column: E, row: 1652, expected_value: Employee, label: employment type} + - {column: J, row: 1652, expected_value: Value, label: measure} + - {column: L, row: 1653, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1654 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1654, expected_value: W92000004, label: geography} + - {column: D, row: 1654, expected_value: Males, label: sex} + - {column: E, row: 1654, expected_value: Employee, label: employment type} + - {column: J, row: 1654, expected_value: Value, label: measure} + - {column: L, row: 1655, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1656 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1656, expected_value: W92000004, label: geography} + - {column: D, row: 1656, expected_value: Males, label: sex} + - {column: E, row: 1656, expected_value: Employee, label: employment type} + - {column: J, row: 1656, expected_value: Value, label: measure} + - {column: L, row: 1657, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1587 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1587, expected_value: W92000004, label: geography} + - {column: D, row: 1587, expected_value: Males, label: sex} + - {column: E, row: 1587, expected_value: Employee, label: employment type} + - {column: J, row: 1587, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1589 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1589, expected_value: W92000004, label: geography} + - {column: D, row: 1589, expected_value: Males, label: sex} + - {column: E, row: 1589, expected_value: Employee, label: employment type} + - {column: J, row: 1589, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1591 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1591, expected_value: W92000004, label: geography} + - {column: D, row: 1591, expected_value: Males, label: sex} + - {column: E, row: 1591, expected_value: Employee, label: employment type} + - {column: J, row: 1591, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1593 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1593, expected_value: W92000004, label: geography} + - {column: D, row: 1593, expected_value: Males, label: sex} + - {column: E, row: 1593, expected_value: Employee, label: employment type} + - {column: J, row: 1593, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1595 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1595, expected_value: W92000004, label: geography} + - {column: D, row: 1595, expected_value: Males, label: sex} + - {column: E, row: 1595, expected_value: Employee, label: employment type} + - {column: J, row: 1595, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1597 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1597, expected_value: W92000004, label: geography} + - {column: D, row: 1597, expected_value: Males, label: sex} + - {column: E, row: 1597, expected_value: Employee, label: employment type} + - {column: J, row: 1597, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1599 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1599, expected_value: W92000004, label: geography} + - {column: D, row: 1599, expected_value: Males, label: sex} + - {column: E, row: 1599, expected_value: Employee, label: employment type} + - {column: J, row: 1599, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1601 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1601, expected_value: W92000004, label: geography} + - {column: D, row: 1601, expected_value: Males, label: sex} + - {column: E, row: 1601, expected_value: Employee, label: employment type} + - {column: J, row: 1601, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1603 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1603, expected_value: W92000004, label: geography} + - {column: D, row: 1603, expected_value: Males, label: sex} + - {column: E, row: 1603, expected_value: Employee, label: employment type} + - {column: J, row: 1603, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1605 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1605, expected_value: W92000004, label: geography} + - {column: D, row: 1605, expected_value: Males, label: sex} + - {column: E, row: 1605, expected_value: Employee, label: employment type} + - {column: J, row: 1605, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1607 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1607, expected_value: W92000004, label: geography} + - {column: D, row: 1607, expected_value: Males, label: sex} + - {column: E, row: 1607, expected_value: Employee, label: employment type} + - {column: J, row: 1607, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1609 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1609, expected_value: W92000004, label: geography} + - {column: D, row: 1609, expected_value: Males, label: sex} + - {column: E, row: 1609, expected_value: Employee, label: employment type} + - {column: J, row: 1609, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1611 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1611, expected_value: W92000004, label: geography} + - {column: D, row: 1611, expected_value: Males, label: sex} + - {column: E, row: 1611, expected_value: Employee, label: employment type} + - {column: J, row: 1611, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1613 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1613, expected_value: W92000004, label: geography} + - {column: D, row: 1613, expected_value: Males, label: sex} + - {column: E, row: 1613, expected_value: Employee, label: employment type} + - {column: J, row: 1613, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1615 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1615, expected_value: W92000004, label: geography} + - {column: D, row: 1615, expected_value: Males, label: sex} + - {column: E, row: 1615, expected_value: Employee, label: employment type} + - {column: J, row: 1615, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1617 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1617, expected_value: W92000004, label: geography} + - {column: D, row: 1617, expected_value: Males, label: sex} + - {column: E, row: 1617, expected_value: Employee, label: employment type} + - {column: J, row: 1617, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1619 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1619, expected_value: W92000004, label: geography} + - {column: D, row: 1619, expected_value: Males, label: sex} + - {column: E, row: 1619, expected_value: Employee, label: employment type} + - {column: J, row: 1619, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1623 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1623, expected_value: W92000004, label: geography} + - {column: D, row: 1623, expected_value: Males, label: sex} + - {column: E, row: 1623, expected_value: Employee, label: employment type} + - {column: J, row: 1623, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1625 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1625, expected_value: W92000004, label: geography} + - {column: D, row: 1625, expected_value: Males, label: sex} + - {column: E, row: 1625, expected_value: Employee, label: employment type} + - {column: J, row: 1625, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1627 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1627, expected_value: W92000004, label: geography} + - {column: D, row: 1627, expected_value: Males, label: sex} + - {column: E, row: 1627, expected_value: Employee, label: employment type} + - {column: J, row: 1627, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1629 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1629, expected_value: W92000004, label: geography} + - {column: D, row: 1629, expected_value: Males, label: sex} + - {column: E, row: 1629, expected_value: Employee, label: employment type} + - {column: J, row: 1629, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1631 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1631, expected_value: W92000004, label: geography} + - {column: D, row: 1631, expected_value: Males, label: sex} + - {column: E, row: 1631, expected_value: Employee, label: employment type} + - {column: J, row: 1631, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1633 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1633, expected_value: W92000004, label: geography} + - {column: D, row: 1633, expected_value: Males, label: sex} + - {column: E, row: 1633, expected_value: Employee, label: employment type} + - {column: J, row: 1633, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1635 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1635, expected_value: W92000004, label: geography} + - {column: D, row: 1635, expected_value: Males, label: sex} + - {column: E, row: 1635, expected_value: Employee, label: employment type} + - {column: J, row: 1635, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1637 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1637, expected_value: W92000004, label: geography} + - {column: D, row: 1637, expected_value: Males, label: sex} + - {column: E, row: 1637, expected_value: Employee, label: employment type} + - {column: J, row: 1637, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1641 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1641, expected_value: W92000004, label: geography} + - {column: D, row: 1641, expected_value: Males, label: sex} + - {column: E, row: 1641, expected_value: Employee, label: employment type} + - {column: J, row: 1641, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1643 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1643, expected_value: W92000004, label: geography} + - {column: D, row: 1643, expected_value: Males, label: sex} + - {column: E, row: 1643, expected_value: Employee, label: employment type} + - {column: J, row: 1643, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1645 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1645, expected_value: W92000004, label: geography} + - {column: D, row: 1645, expected_value: Males, label: sex} + - {column: E, row: 1645, expected_value: Employee, label: employment type} + - {column: J, row: 1645, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1647 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1647, expected_value: W92000004, label: geography} + - {column: D, row: 1647, expected_value: Males, label: sex} + - {column: E, row: 1647, expected_value: Employee, label: employment type} + - {column: J, row: 1647, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1649 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1649, expected_value: W92000004, label: geography} + - {column: D, row: 1649, expected_value: Males, label: sex} + - {column: E, row: 1649, expected_value: Employee, label: employment type} + - {column: J, row: 1649, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1651 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1651, expected_value: W92000004, label: geography} + - {column: D, row: 1651, expected_value: Males, label: sex} + - {column: E, row: 1651, expected_value: Employee, label: employment type} + - {column: J, row: 1651, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1653 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1653, expected_value: W92000004, label: geography} + - {column: D, row: 1653, expected_value: Males, label: sex} + - {column: E, row: 1653, expected_value: Employee, label: employment type} + - {column: J, row: 1653, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1655 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1655, expected_value: W92000004, label: geography} + - {column: D, row: 1655, expected_value: Males, label: sex} + - {column: E, row: 1655, expected_value: Employee, label: employment type} + - {column: J, row: 1655, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1657 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1657, expected_value: W92000004, label: geography} + - {column: D, row: 1657, expected_value: Males, label: sex} + - {column: E, row: 1657, expected_value: Employee, label: employment type} + - {column: J, row: 1657, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1802 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1802, expected_value: W92000004, label: geography} + - {column: D, row: 1802, expected_value: Males, label: sex} + - {column: E, row: 1802, expected_value: Self-employed, label: employment type} + - {column: J, row: 1802, expected_value: Value, label: measure} + - {column: L, row: 1803, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1804 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1804, expected_value: W92000004, label: geography} + - {column: D, row: 1804, expected_value: Males, label: sex} + - {column: E, row: 1804, expected_value: Self-employed, label: employment type} + - {column: J, row: 1804, expected_value: Value, label: measure} + - {column: L, row: 1805, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1806 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1806, expected_value: W92000004, label: geography} + - {column: D, row: 1806, expected_value: Males, label: sex} + - {column: E, row: 1806, expected_value: Self-employed, label: employment type} + - {column: J, row: 1806, expected_value: Value, label: measure} + - {column: L, row: 1807, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1808 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1808, expected_value: W92000004, label: geography} + - {column: D, row: 1808, expected_value: Males, label: sex} + - {column: E, row: 1808, expected_value: Self-employed, label: employment type} + - {column: J, row: 1808, expected_value: Value, label: measure} + - {column: L, row: 1809, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1810 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1810, expected_value: W92000004, label: geography} + - {column: D, row: 1810, expected_value: Males, label: sex} + - {column: E, row: 1810, expected_value: Self-employed, label: employment type} + - {column: J, row: 1810, expected_value: Value, label: measure} + - {column: L, row: 1811, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1812 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1812, expected_value: W92000004, label: geography} + - {column: D, row: 1812, expected_value: Males, label: sex} + - {column: E, row: 1812, expected_value: Self-employed, label: employment type} + - {column: J, row: 1812, expected_value: Value, label: measure} + - {column: L, row: 1813, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1814 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1814, expected_value: W92000004, label: geography} + - {column: D, row: 1814, expected_value: Males, label: sex} + - {column: E, row: 1814, expected_value: Self-employed, label: employment type} + - {column: J, row: 1814, expected_value: Value, label: measure} + - {column: L, row: 1815, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1816 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1816, expected_value: W92000004, label: geography} + - {column: D, row: 1816, expected_value: Males, label: sex} + - {column: E, row: 1816, expected_value: Self-employed, label: employment type} + - {column: J, row: 1816, expected_value: Value, label: measure} + - {column: L, row: 1817, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1818 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1818, expected_value: W92000004, label: geography} + - {column: D, row: 1818, expected_value: Males, label: sex} + - {column: E, row: 1818, expected_value: Self-employed, label: employment type} + - {column: J, row: 1818, expected_value: Value, label: measure} + - {column: L, row: 1819, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1820 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1820, expected_value: W92000004, label: geography} + - {column: D, row: 1820, expected_value: Males, label: sex} + - {column: E, row: 1820, expected_value: Self-employed, label: employment type} + - {column: J, row: 1820, expected_value: Value, label: measure} + - {column: L, row: 1821, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1822 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1822, expected_value: W92000004, label: geography} + - {column: D, row: 1822, expected_value: Males, label: sex} + - {column: E, row: 1822, expected_value: Self-employed, label: employment type} + - {column: J, row: 1822, expected_value: Value, label: measure} + - {column: L, row: 1823, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1828 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1828, expected_value: W92000004, label: geography} + - {column: D, row: 1828, expected_value: Males, label: sex} + - {column: E, row: 1828, expected_value: Self-employed, label: employment type} + - {column: J, row: 1828, expected_value: Value, label: measure} + - {column: L, row: 1829, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1830 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1830, expected_value: W92000004, label: geography} + - {column: D, row: 1830, expected_value: Males, label: sex} + - {column: E, row: 1830, expected_value: Self-employed, label: employment type} + - {column: J, row: 1830, expected_value: Value, label: measure} + - {column: L, row: 1831, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1832 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1832, expected_value: W92000004, label: geography} + - {column: D, row: 1832, expected_value: Males, label: sex} + - {column: E, row: 1832, expected_value: Self-employed, label: employment type} + - {column: J, row: 1832, expected_value: Value, label: measure} + - {column: L, row: 1833, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1834 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1834, expected_value: W92000004, label: geography} + - {column: D, row: 1834, expected_value: Males, label: sex} + - {column: E, row: 1834, expected_value: Self-employed, label: employment type} + - {column: J, row: 1834, expected_value: Value, label: measure} + - {column: L, row: 1835, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1838 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1838, expected_value: W92000004, label: geography} + - {column: D, row: 1838, expected_value: Males, label: sex} + - {column: E, row: 1838, expected_value: Self-employed, label: employment type} + - {column: J, row: 1838, expected_value: Value, label: measure} + - {column: L, row: 1839, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1840 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1840, expected_value: W92000004, label: geography} + - {column: D, row: 1840, expected_value: Males, label: sex} + - {column: E, row: 1840, expected_value: Self-employed, label: employment type} + - {column: J, row: 1840, expected_value: Value, label: measure} + - {column: L, row: 1841, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1842 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1842, expected_value: W92000004, label: geography} + - {column: D, row: 1842, expected_value: Males, label: sex} + - {column: E, row: 1842, expected_value: Self-employed, label: employment type} + - {column: J, row: 1842, expected_value: Value, label: measure} + - {column: L, row: 1843, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1844 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1844, expected_value: W92000004, label: geography} + - {column: D, row: 1844, expected_value: Males, label: sex} + - {column: E, row: 1844, expected_value: Self-employed, label: employment type} + - {column: J, row: 1844, expected_value: Value, label: measure} + - {column: L, row: 1845, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1846 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1846, expected_value: W92000004, label: geography} + - {column: D, row: 1846, expected_value: Males, label: sex} + - {column: E, row: 1846, expected_value: Self-employed, label: employment type} + - {column: J, row: 1846, expected_value: Value, label: measure} + - {column: L, row: 1847, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1848 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1848, expected_value: W92000004, label: geography} + - {column: D, row: 1848, expected_value: Males, label: sex} + - {column: E, row: 1848, expected_value: Self-employed, label: employment type} + - {column: J, row: 1848, expected_value: Value, label: measure} + - {column: L, row: 1849, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1850 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1850, expected_value: W92000004, label: geography} + - {column: D, row: 1850, expected_value: Males, label: sex} + - {column: E, row: 1850, expected_value: Self-employed, label: employment type} + - {column: J, row: 1850, expected_value: Value, label: measure} + - {column: L, row: 1851, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1852 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1852, expected_value: W92000004, label: geography} + - {column: D, row: 1852, expected_value: Males, label: sex} + - {column: E, row: 1852, expected_value: Self-employed, label: employment type} + - {column: J, row: 1852, expected_value: Value, label: measure} + - {column: L, row: 1853, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1856 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1856, expected_value: W92000004, label: geography} + - {column: D, row: 1856, expected_value: Males, label: sex} + - {column: E, row: 1856, expected_value: Self-employed, label: employment type} + - {column: J, row: 1856, expected_value: Value, label: measure} + - {column: L, row: 1857, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1858 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1858, expected_value: W92000004, label: geography} + - {column: D, row: 1858, expected_value: Males, label: sex} + - {column: E, row: 1858, expected_value: Self-employed, label: employment type} + - {column: J, row: 1858, expected_value: Value, label: measure} + - {column: L, row: 1859, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1862 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1862, expected_value: W92000004, label: geography} + - {column: D, row: 1862, expected_value: Males, label: sex} + - {column: E, row: 1862, expected_value: Self-employed, label: employment type} + - {column: J, row: 1862, expected_value: Value, label: measure} + - {column: L, row: 1863, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1864 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1864, expected_value: W92000004, label: geography} + - {column: D, row: 1864, expected_value: Males, label: sex} + - {column: E, row: 1864, expected_value: Self-employed, label: employment type} + - {column: J, row: 1864, expected_value: Value, label: measure} + - {column: L, row: 1865, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1866 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1866, expected_value: W92000004, label: geography} + - {column: D, row: 1866, expected_value: Males, label: sex} + - {column: E, row: 1866, expected_value: Self-employed, label: employment type} + - {column: J, row: 1866, expected_value: Value, label: measure} + - {column: L, row: 1867, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1868 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1868, expected_value: W92000004, label: geography} + - {column: D, row: 1868, expected_value: Males, label: sex} + - {column: E, row: 1868, expected_value: Self-employed, label: employment type} + - {column: J, row: 1868, expected_value: Value, label: measure} + - {column: L, row: 1869, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1870 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1870, expected_value: W92000004, label: geography} + - {column: D, row: 1870, expected_value: Males, label: sex} + - {column: E, row: 1870, expected_value: Self-employed, label: employment type} + - {column: J, row: 1870, expected_value: Value, label: measure} + - {column: L, row: 1871, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1872 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1872, expected_value: W92000004, label: geography} + - {column: D, row: 1872, expected_value: Males, label: sex} + - {column: E, row: 1872, expected_value: Self-employed, label: employment type} + - {column: J, row: 1872, expected_value: Value, label: measure} + - {column: L, row: 1873, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1803 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1803, expected_value: W92000004, label: geography} + - {column: D, row: 1803, expected_value: Males, label: sex} + - {column: E, row: 1803, expected_value: Self-employed, label: employment type} + - {column: J, row: 1803, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1805 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1805, expected_value: W92000004, label: geography} + - {column: D, row: 1805, expected_value: Males, label: sex} + - {column: E, row: 1805, expected_value: Self-employed, label: employment type} + - {column: J, row: 1805, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1807 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1807, expected_value: W92000004, label: geography} + - {column: D, row: 1807, expected_value: Males, label: sex} + - {column: E, row: 1807, expected_value: Self-employed, label: employment type} + - {column: J, row: 1807, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1809 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1809, expected_value: W92000004, label: geography} + - {column: D, row: 1809, expected_value: Males, label: sex} + - {column: E, row: 1809, expected_value: Self-employed, label: employment type} + - {column: J, row: 1809, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1811 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1811, expected_value: W92000004, label: geography} + - {column: D, row: 1811, expected_value: Males, label: sex} + - {column: E, row: 1811, expected_value: Self-employed, label: employment type} + - {column: J, row: 1811, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1813 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1813, expected_value: W92000004, label: geography} + - {column: D, row: 1813, expected_value: Males, label: sex} + - {column: E, row: 1813, expected_value: Self-employed, label: employment type} + - {column: J, row: 1813, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1817 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1817, expected_value: W92000004, label: geography} + - {column: D, row: 1817, expected_value: Males, label: sex} + - {column: E, row: 1817, expected_value: Self-employed, label: employment type} + - {column: J, row: 1817, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1819 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1819, expected_value: W92000004, label: geography} + - {column: D, row: 1819, expected_value: Males, label: sex} + - {column: E, row: 1819, expected_value: Self-employed, label: employment type} + - {column: J, row: 1819, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1821 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1821, expected_value: W92000004, label: geography} + - {column: D, row: 1821, expected_value: Males, label: sex} + - {column: E, row: 1821, expected_value: Self-employed, label: employment type} + - {column: J, row: 1821, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1829 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1829, expected_value: W92000004, label: geography} + - {column: D, row: 1829, expected_value: Males, label: sex} + - {column: E, row: 1829, expected_value: Self-employed, label: employment type} + - {column: J, row: 1829, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1831 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1831, expected_value: W92000004, label: geography} + - {column: D, row: 1831, expected_value: Males, label: sex} + - {column: E, row: 1831, expected_value: Self-employed, label: employment type} + - {column: J, row: 1831, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1839 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1839, expected_value: W92000004, label: geography} + - {column: D, row: 1839, expected_value: Males, label: sex} + - {column: E, row: 1839, expected_value: Self-employed, label: employment type} + - {column: J, row: 1839, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1841 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1841, expected_value: W92000004, label: geography} + - {column: D, row: 1841, expected_value: Males, label: sex} + - {column: E, row: 1841, expected_value: Self-employed, label: employment type} + - {column: J, row: 1841, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1843 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1843, expected_value: W92000004, label: geography} + - {column: D, row: 1843, expected_value: Males, label: sex} + - {column: E, row: 1843, expected_value: Self-employed, label: employment type} + - {column: J, row: 1843, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1845 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1845, expected_value: W92000004, label: geography} + - {column: D, row: 1845, expected_value: Males, label: sex} + - {column: E, row: 1845, expected_value: Self-employed, label: employment type} + - {column: J, row: 1845, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1847 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1847, expected_value: W92000004, label: geography} + - {column: D, row: 1847, expected_value: Males, label: sex} + - {column: E, row: 1847, expected_value: Self-employed, label: employment type} + - {column: J, row: 1847, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1849 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1849, expected_value: W92000004, label: geography} + - {column: D, row: 1849, expected_value: Males, label: sex} + - {column: E, row: 1849, expected_value: Self-employed, label: employment type} + - {column: J, row: 1849, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1857 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1857, expected_value: W92000004, label: geography} + - {column: D, row: 1857, expected_value: Males, label: sex} + - {column: E, row: 1857, expected_value: Self-employed, label: employment type} + - {column: J, row: 1857, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1859 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1859, expected_value: W92000004, label: geography} + - {column: D, row: 1859, expected_value: Males, label: sex} + - {column: E, row: 1859, expected_value: Self-employed, label: employment type} + - {column: J, row: 1859, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1863 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1863, expected_value: W92000004, label: geography} + - {column: D, row: 1863, expected_value: Males, label: sex} + - {column: E, row: 1863, expected_value: Self-employed, label: employment type} + - {column: J, row: 1863, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1865 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1865, expected_value: W92000004, label: geography} + - {column: D, row: 1865, expected_value: Males, label: sex} + - {column: E, row: 1865, expected_value: Self-employed, label: employment type} + - {column: J, row: 1865, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1867 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1867, expected_value: W92000004, label: geography} + - {column: D, row: 1867, expected_value: Males, label: sex} + - {column: E, row: 1867, expected_value: Self-employed, label: employment type} + - {column: J, row: 1867, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1869 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1869, expected_value: W92000004, label: geography} + - {column: D, row: 1869, expected_value: Males, label: sex} + - {column: E, row: 1869, expected_value: Self-employed, label: employment type} + - {column: J, row: 1869, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1871 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1871, expected_value: W92000004, label: geography} + - {column: D, row: 1871, expected_value: Males, label: sex} + - {column: E, row: 1871, expected_value: Self-employed, label: employment type} + - {column: J, row: 1871, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1873 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1873, expected_value: W92000004, label: geography} + - {column: D, row: 1873, expected_value: Males, label: sex} + - {column: E, row: 1873, expected_value: Self-employed, label: employment type} + - {column: J, row: 1873, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1442 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1442, expected_value: W92000004, label: geography} + - {column: D, row: 1442, expected_value: Females, label: sex} + - {column: E, row: 1442, expected_value: Total, label: employment type} + - {column: J, row: 1442, expected_value: Value, label: measure} + - {column: L, row: 1443, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1444 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1444, expected_value: W92000004, label: geography} + - {column: D, row: 1444, expected_value: Females, label: sex} + - {column: E, row: 1444, expected_value: Total, label: employment type} + - {column: J, row: 1444, expected_value: Value, label: measure} + - {column: L, row: 1445, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1446 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1446, expected_value: W92000004, label: geography} + - {column: D, row: 1446, expected_value: Females, label: sex} + - {column: E, row: 1446, expected_value: Total, label: employment type} + - {column: J, row: 1446, expected_value: Value, label: measure} + - {column: L, row: 1447, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1448 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1448, expected_value: W92000004, label: geography} + - {column: D, row: 1448, expected_value: Females, label: sex} + - {column: E, row: 1448, expected_value: Total, label: employment type} + - {column: J, row: 1448, expected_value: Value, label: measure} + - {column: L, row: 1449, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1450 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1450, expected_value: W92000004, label: geography} + - {column: D, row: 1450, expected_value: Females, label: sex} + - {column: E, row: 1450, expected_value: Total, label: employment type} + - {column: J, row: 1450, expected_value: Value, label: measure} + - {column: L, row: 1451, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1452 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1452, expected_value: W92000004, label: geography} + - {column: D, row: 1452, expected_value: Females, label: sex} + - {column: E, row: 1452, expected_value: Total, label: employment type} + - {column: J, row: 1452, expected_value: Value, label: measure} + - {column: L, row: 1453, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1454 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1454, expected_value: W92000004, label: geography} + - {column: D, row: 1454, expected_value: Females, label: sex} + - {column: E, row: 1454, expected_value: Total, label: employment type} + - {column: J, row: 1454, expected_value: Value, label: measure} + - {column: L, row: 1455, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1456 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1456, expected_value: W92000004, label: geography} + - {column: D, row: 1456, expected_value: Females, label: sex} + - {column: E, row: 1456, expected_value: Total, label: employment type} + - {column: J, row: 1456, expected_value: Value, label: measure} + - {column: L, row: 1457, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1458 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1458, expected_value: W92000004, label: geography} + - {column: D, row: 1458, expected_value: Females, label: sex} + - {column: E, row: 1458, expected_value: Total, label: employment type} + - {column: J, row: 1458, expected_value: Value, label: measure} + - {column: L, row: 1459, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1460 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1460, expected_value: W92000004, label: geography} + - {column: D, row: 1460, expected_value: Females, label: sex} + - {column: E, row: 1460, expected_value: Total, label: employment type} + - {column: J, row: 1460, expected_value: Value, label: measure} + - {column: L, row: 1461, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1462 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1462, expected_value: W92000004, label: geography} + - {column: D, row: 1462, expected_value: Females, label: sex} + - {column: E, row: 1462, expected_value: Total, label: employment type} + - {column: J, row: 1462, expected_value: Value, label: measure} + - {column: L, row: 1463, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1464 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1464, expected_value: W92000004, label: geography} + - {column: D, row: 1464, expected_value: Females, label: sex} + - {column: E, row: 1464, expected_value: Total, label: employment type} + - {column: J, row: 1464, expected_value: Value, label: measure} + - {column: L, row: 1465, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1466 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1466, expected_value: W92000004, label: geography} + - {column: D, row: 1466, expected_value: Females, label: sex} + - {column: E, row: 1466, expected_value: Total, label: employment type} + - {column: J, row: 1466, expected_value: Value, label: measure} + - {column: L, row: 1467, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1468 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1468, expected_value: W92000004, label: geography} + - {column: D, row: 1468, expected_value: Females, label: sex} + - {column: E, row: 1468, expected_value: Total, label: employment type} + - {column: J, row: 1468, expected_value: Value, label: measure} + - {column: L, row: 1469, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1470 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1470, expected_value: W92000004, label: geography} + - {column: D, row: 1470, expected_value: Females, label: sex} + - {column: E, row: 1470, expected_value: Total, label: employment type} + - {column: J, row: 1470, expected_value: Value, label: measure} + - {column: L, row: 1471, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1472 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1472, expected_value: W92000004, label: geography} + - {column: D, row: 1472, expected_value: Females, label: sex} + - {column: E, row: 1472, expected_value: Total, label: employment type} + - {column: J, row: 1472, expected_value: Value, label: measure} + - {column: L, row: 1473, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1474 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1474, expected_value: W92000004, label: geography} + - {column: D, row: 1474, expected_value: Females, label: sex} + - {column: E, row: 1474, expected_value: Total, label: employment type} + - {column: J, row: 1474, expected_value: Value, label: measure} + - {column: L, row: 1475, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1476 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1476, expected_value: W92000004, label: geography} + - {column: D, row: 1476, expected_value: Females, label: sex} + - {column: E, row: 1476, expected_value: Total, label: employment type} + - {column: J, row: 1476, expected_value: Value, label: measure} + - {column: L, row: 1477, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1478 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1478, expected_value: W92000004, label: geography} + - {column: D, row: 1478, expected_value: Females, label: sex} + - {column: E, row: 1478, expected_value: Total, label: employment type} + - {column: J, row: 1478, expected_value: Value, label: measure} + - {column: L, row: 1479, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1480 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1480, expected_value: W92000004, label: geography} + - {column: D, row: 1480, expected_value: Females, label: sex} + - {column: E, row: 1480, expected_value: Total, label: employment type} + - {column: J, row: 1480, expected_value: Value, label: measure} + - {column: L, row: 1481, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1482 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1482, expected_value: W92000004, label: geography} + - {column: D, row: 1482, expected_value: Females, label: sex} + - {column: E, row: 1482, expected_value: Total, label: employment type} + - {column: J, row: 1482, expected_value: Value, label: measure} + - {column: L, row: 1483, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1484 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1484, expected_value: W92000004, label: geography} + - {column: D, row: 1484, expected_value: Females, label: sex} + - {column: E, row: 1484, expected_value: Total, label: employment type} + - {column: J, row: 1484, expected_value: Value, label: measure} + - {column: L, row: 1485, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1486 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1486, expected_value: W92000004, label: geography} + - {column: D, row: 1486, expected_value: Females, label: sex} + - {column: E, row: 1486, expected_value: Total, label: employment type} + - {column: J, row: 1486, expected_value: Value, label: measure} + - {column: L, row: 1487, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1488 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1488, expected_value: W92000004, label: geography} + - {column: D, row: 1488, expected_value: Females, label: sex} + - {column: E, row: 1488, expected_value: Total, label: employment type} + - {column: J, row: 1488, expected_value: Value, label: measure} + - {column: L, row: 1489, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1490 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1490, expected_value: W92000004, label: geography} + - {column: D, row: 1490, expected_value: Females, label: sex} + - {column: E, row: 1490, expected_value: Total, label: employment type} + - {column: J, row: 1490, expected_value: Value, label: measure} + - {column: L, row: 1491, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1492 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1492, expected_value: W92000004, label: geography} + - {column: D, row: 1492, expected_value: Females, label: sex} + - {column: E, row: 1492, expected_value: Total, label: employment type} + - {column: J, row: 1492, expected_value: Value, label: measure} + - {column: L, row: 1493, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1496 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1496, expected_value: W92000004, label: geography} + - {column: D, row: 1496, expected_value: Females, label: sex} + - {column: E, row: 1496, expected_value: Total, label: employment type} + - {column: J, row: 1496, expected_value: Value, label: measure} + - {column: L, row: 1497, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1498 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1498, expected_value: W92000004, label: geography} + - {column: D, row: 1498, expected_value: Females, label: sex} + - {column: E, row: 1498, expected_value: Total, label: employment type} + - {column: J, row: 1498, expected_value: Value, label: measure} + - {column: L, row: 1499, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1500 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1500, expected_value: W92000004, label: geography} + - {column: D, row: 1500, expected_value: Females, label: sex} + - {column: E, row: 1500, expected_value: Total, label: employment type} + - {column: J, row: 1500, expected_value: Value, label: measure} + - {column: L, row: 1501, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1502 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1502, expected_value: W92000004, label: geography} + - {column: D, row: 1502, expected_value: Females, label: sex} + - {column: E, row: 1502, expected_value: Total, label: employment type} + - {column: J, row: 1502, expected_value: Value, label: measure} + - {column: L, row: 1503, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1504 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1504, expected_value: W92000004, label: geography} + - {column: D, row: 1504, expected_value: Females, label: sex} + - {column: E, row: 1504, expected_value: Total, label: employment type} + - {column: J, row: 1504, expected_value: Value, label: measure} + - {column: L, row: 1505, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1506 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1506, expected_value: W92000004, label: geography} + - {column: D, row: 1506, expected_value: Females, label: sex} + - {column: E, row: 1506, expected_value: Total, label: employment type} + - {column: J, row: 1506, expected_value: Value, label: measure} + - {column: L, row: 1507, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1508 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1508, expected_value: W92000004, label: geography} + - {column: D, row: 1508, expected_value: Females, label: sex} + - {column: E, row: 1508, expected_value: Total, label: employment type} + - {column: J, row: 1508, expected_value: Value, label: measure} + - {column: L, row: 1509, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1510 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1510, expected_value: W92000004, label: geography} + - {column: D, row: 1510, expected_value: Females, label: sex} + - {column: E, row: 1510, expected_value: Total, label: employment type} + - {column: J, row: 1510, expected_value: Value, label: measure} + - {column: L, row: 1511, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1512 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1512, expected_value: W92000004, label: geography} + - {column: D, row: 1512, expected_value: Females, label: sex} + - {column: E, row: 1512, expected_value: Total, label: employment type} + - {column: J, row: 1512, expected_value: Value, label: measure} + - {column: L, row: 1513, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1443 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1443, expected_value: W92000004, label: geography} + - {column: D, row: 1443, expected_value: Females, label: sex} + - {column: E, row: 1443, expected_value: Total, label: employment type} + - {column: J, row: 1443, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1445 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1445, expected_value: W92000004, label: geography} + - {column: D, row: 1445, expected_value: Females, label: sex} + - {column: E, row: 1445, expected_value: Total, label: employment type} + - {column: J, row: 1445, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1447 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1447, expected_value: W92000004, label: geography} + - {column: D, row: 1447, expected_value: Females, label: sex} + - {column: E, row: 1447, expected_value: Total, label: employment type} + - {column: J, row: 1447, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1449 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1449, expected_value: W92000004, label: geography} + - {column: D, row: 1449, expected_value: Females, label: sex} + - {column: E, row: 1449, expected_value: Total, label: employment type} + - {column: J, row: 1449, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1451 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1451, expected_value: W92000004, label: geography} + - {column: D, row: 1451, expected_value: Females, label: sex} + - {column: E, row: 1451, expected_value: Total, label: employment type} + - {column: J, row: 1451, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1453 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1453, expected_value: W92000004, label: geography} + - {column: D, row: 1453, expected_value: Females, label: sex} + - {column: E, row: 1453, expected_value: Total, label: employment type} + - {column: J, row: 1453, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1455 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1455, expected_value: W92000004, label: geography} + - {column: D, row: 1455, expected_value: Females, label: sex} + - {column: E, row: 1455, expected_value: Total, label: employment type} + - {column: J, row: 1455, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1457 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1457, expected_value: W92000004, label: geography} + - {column: D, row: 1457, expected_value: Females, label: sex} + - {column: E, row: 1457, expected_value: Total, label: employment type} + - {column: J, row: 1457, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1459 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1459, expected_value: W92000004, label: geography} + - {column: D, row: 1459, expected_value: Females, label: sex} + - {column: E, row: 1459, expected_value: Total, label: employment type} + - {column: J, row: 1459, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1461 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1461, expected_value: W92000004, label: geography} + - {column: D, row: 1461, expected_value: Females, label: sex} + - {column: E, row: 1461, expected_value: Total, label: employment type} + - {column: J, row: 1461, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1463 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1463, expected_value: W92000004, label: geography} + - {column: D, row: 1463, expected_value: Females, label: sex} + - {column: E, row: 1463, expected_value: Total, label: employment type} + - {column: J, row: 1463, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1465 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1465, expected_value: W92000004, label: geography} + - {column: D, row: 1465, expected_value: Females, label: sex} + - {column: E, row: 1465, expected_value: Total, label: employment type} + - {column: J, row: 1465, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1467 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1467, expected_value: W92000004, label: geography} + - {column: D, row: 1467, expected_value: Females, label: sex} + - {column: E, row: 1467, expected_value: Total, label: employment type} + - {column: J, row: 1467, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1469 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1469, expected_value: W92000004, label: geography} + - {column: D, row: 1469, expected_value: Females, label: sex} + - {column: E, row: 1469, expected_value: Total, label: employment type} + - {column: J, row: 1469, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1471 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1471, expected_value: W92000004, label: geography} + - {column: D, row: 1471, expected_value: Females, label: sex} + - {column: E, row: 1471, expected_value: Total, label: employment type} + - {column: J, row: 1471, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1473 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1473, expected_value: W92000004, label: geography} + - {column: D, row: 1473, expected_value: Females, label: sex} + - {column: E, row: 1473, expected_value: Total, label: employment type} + - {column: J, row: 1473, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1475 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1475, expected_value: W92000004, label: geography} + - {column: D, row: 1475, expected_value: Females, label: sex} + - {column: E, row: 1475, expected_value: Total, label: employment type} + - {column: J, row: 1475, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1477 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1477, expected_value: W92000004, label: geography} + - {column: D, row: 1477, expected_value: Females, label: sex} + - {column: E, row: 1477, expected_value: Total, label: employment type} + - {column: J, row: 1477, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1479 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1479, expected_value: W92000004, label: geography} + - {column: D, row: 1479, expected_value: Females, label: sex} + - {column: E, row: 1479, expected_value: Total, label: employment type} + - {column: J, row: 1479, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1481 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1481, expected_value: W92000004, label: geography} + - {column: D, row: 1481, expected_value: Females, label: sex} + - {column: E, row: 1481, expected_value: Total, label: employment type} + - {column: J, row: 1481, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1485 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1485, expected_value: W92000004, label: geography} + - {column: D, row: 1485, expected_value: Females, label: sex} + - {column: E, row: 1485, expected_value: Total, label: employment type} + - {column: J, row: 1485, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1487 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1487, expected_value: W92000004, label: geography} + - {column: D, row: 1487, expected_value: Females, label: sex} + - {column: E, row: 1487, expected_value: Total, label: employment type} + - {column: J, row: 1487, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1489 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1489, expected_value: W92000004, label: geography} + - {column: D, row: 1489, expected_value: Females, label: sex} + - {column: E, row: 1489, expected_value: Total, label: employment type} + - {column: J, row: 1489, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1491 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1491, expected_value: W92000004, label: geography} + - {column: D, row: 1491, expected_value: Females, label: sex} + - {column: E, row: 1491, expected_value: Total, label: employment type} + - {column: J, row: 1491, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1493 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1493, expected_value: W92000004, label: geography} + - {column: D, row: 1493, expected_value: Females, label: sex} + - {column: E, row: 1493, expected_value: Total, label: employment type} + - {column: J, row: 1493, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1497 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1497, expected_value: W92000004, label: geography} + - {column: D, row: 1497, expected_value: Females, label: sex} + - {column: E, row: 1497, expected_value: Total, label: employment type} + - {column: J, row: 1497, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1499 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1499, expected_value: W92000004, label: geography} + - {column: D, row: 1499, expected_value: Females, label: sex} + - {column: E, row: 1499, expected_value: Total, label: employment type} + - {column: J, row: 1499, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1501 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1501, expected_value: W92000004, label: geography} + - {column: D, row: 1501, expected_value: Females, label: sex} + - {column: E, row: 1501, expected_value: Total, label: employment type} + - {column: J, row: 1501, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1503 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1503, expected_value: W92000004, label: geography} + - {column: D, row: 1503, expected_value: Females, label: sex} + - {column: E, row: 1503, expected_value: Total, label: employment type} + - {column: J, row: 1503, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1505 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1505, expected_value: W92000004, label: geography} + - {column: D, row: 1505, expected_value: Females, label: sex} + - {column: E, row: 1505, expected_value: Total, label: employment type} + - {column: J, row: 1505, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1507 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1507, expected_value: W92000004, label: geography} + - {column: D, row: 1507, expected_value: Females, label: sex} + - {column: E, row: 1507, expected_value: Total, label: employment type} + - {column: J, row: 1507, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1509 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1509, expected_value: W92000004, label: geography} + - {column: D, row: 1509, expected_value: Females, label: sex} + - {column: E, row: 1509, expected_value: Total, label: employment type} + - {column: J, row: 1509, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1511 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1511, expected_value: W92000004, label: geography} + - {column: D, row: 1511, expected_value: Females, label: sex} + - {column: E, row: 1511, expected_value: Total, label: employment type} + - {column: J, row: 1511, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1513 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1513, expected_value: W92000004, label: geography} + - {column: D, row: 1513, expected_value: Females, label: sex} + - {column: E, row: 1513, expected_value: Total, label: employment type} + - {column: J, row: 1513, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1658 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1658, expected_value: W92000004, label: geography} + - {column: D, row: 1658, expected_value: Females, label: sex} + - {column: E, row: 1658, expected_value: Employee, label: employment type} + - {column: J, row: 1658, expected_value: Value, label: measure} + - {column: L, row: 1659, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1660 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1660, expected_value: W92000004, label: geography} + - {column: D, row: 1660, expected_value: Females, label: sex} + - {column: E, row: 1660, expected_value: Employee, label: employment type} + - {column: J, row: 1660, expected_value: Value, label: measure} + - {column: L, row: 1661, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1662 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1662, expected_value: W92000004, label: geography} + - {column: D, row: 1662, expected_value: Females, label: sex} + - {column: E, row: 1662, expected_value: Employee, label: employment type} + - {column: J, row: 1662, expected_value: Value, label: measure} + - {column: L, row: 1663, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1664 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1664, expected_value: W92000004, label: geography} + - {column: D, row: 1664, expected_value: Females, label: sex} + - {column: E, row: 1664, expected_value: Employee, label: employment type} + - {column: J, row: 1664, expected_value: Value, label: measure} + - {column: L, row: 1665, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1666 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1666, expected_value: W92000004, label: geography} + - {column: D, row: 1666, expected_value: Females, label: sex} + - {column: E, row: 1666, expected_value: Employee, label: employment type} + - {column: J, row: 1666, expected_value: Value, label: measure} + - {column: L, row: 1667, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1668 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1668, expected_value: W92000004, label: geography} + - {column: D, row: 1668, expected_value: Females, label: sex} + - {column: E, row: 1668, expected_value: Employee, label: employment type} + - {column: J, row: 1668, expected_value: Value, label: measure} + - {column: L, row: 1669, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1670 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1670, expected_value: W92000004, label: geography} + - {column: D, row: 1670, expected_value: Females, label: sex} + - {column: E, row: 1670, expected_value: Employee, label: employment type} + - {column: J, row: 1670, expected_value: Value, label: measure} + - {column: L, row: 1671, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1672 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1672, expected_value: W92000004, label: geography} + - {column: D, row: 1672, expected_value: Females, label: sex} + - {column: E, row: 1672, expected_value: Employee, label: employment type} + - {column: J, row: 1672, expected_value: Value, label: measure} + - {column: L, row: 1673, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1674 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1674, expected_value: W92000004, label: geography} + - {column: D, row: 1674, expected_value: Females, label: sex} + - {column: E, row: 1674, expected_value: Employee, label: employment type} + - {column: J, row: 1674, expected_value: Value, label: measure} + - {column: L, row: 1675, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1676 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1676, expected_value: W92000004, label: geography} + - {column: D, row: 1676, expected_value: Females, label: sex} + - {column: E, row: 1676, expected_value: Employee, label: employment type} + - {column: J, row: 1676, expected_value: Value, label: measure} + - {column: L, row: 1677, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1678 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1678, expected_value: W92000004, label: geography} + - {column: D, row: 1678, expected_value: Females, label: sex} + - {column: E, row: 1678, expected_value: Employee, label: employment type} + - {column: J, row: 1678, expected_value: Value, label: measure} + - {column: L, row: 1679, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1680 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1680, expected_value: W92000004, label: geography} + - {column: D, row: 1680, expected_value: Females, label: sex} + - {column: E, row: 1680, expected_value: Employee, label: employment type} + - {column: J, row: 1680, expected_value: Value, label: measure} + - {column: L, row: 1681, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1682 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1682, expected_value: W92000004, label: geography} + - {column: D, row: 1682, expected_value: Females, label: sex} + - {column: E, row: 1682, expected_value: Employee, label: employment type} + - {column: J, row: 1682, expected_value: Value, label: measure} + - {column: L, row: 1683, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1684 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1684, expected_value: W92000004, label: geography} + - {column: D, row: 1684, expected_value: Females, label: sex} + - {column: E, row: 1684, expected_value: Employee, label: employment type} + - {column: J, row: 1684, expected_value: Value, label: measure} + - {column: L, row: 1685, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1686 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1686, expected_value: W92000004, label: geography} + - {column: D, row: 1686, expected_value: Females, label: sex} + - {column: E, row: 1686, expected_value: Employee, label: employment type} + - {column: J, row: 1686, expected_value: Value, label: measure} + - {column: L, row: 1687, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1688 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1688, expected_value: W92000004, label: geography} + - {column: D, row: 1688, expected_value: Females, label: sex} + - {column: E, row: 1688, expected_value: Employee, label: employment type} + - {column: J, row: 1688, expected_value: Value, label: measure} + - {column: L, row: 1689, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1690 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1690, expected_value: W92000004, label: geography} + - {column: D, row: 1690, expected_value: Females, label: sex} + - {column: E, row: 1690, expected_value: Employee, label: employment type} + - {column: J, row: 1690, expected_value: Value, label: measure} + - {column: L, row: 1691, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1692 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1692, expected_value: W92000004, label: geography} + - {column: D, row: 1692, expected_value: Females, label: sex} + - {column: E, row: 1692, expected_value: Employee, label: employment type} + - {column: J, row: 1692, expected_value: Value, label: measure} + - {column: L, row: 1693, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1694 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1694, expected_value: W92000004, label: geography} + - {column: D, row: 1694, expected_value: Females, label: sex} + - {column: E, row: 1694, expected_value: Employee, label: employment type} + - {column: J, row: 1694, expected_value: Value, label: measure} + - {column: L, row: 1695, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1696 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1696, expected_value: W92000004, label: geography} + - {column: D, row: 1696, expected_value: Females, label: sex} + - {column: E, row: 1696, expected_value: Employee, label: employment type} + - {column: J, row: 1696, expected_value: Value, label: measure} + - {column: L, row: 1697, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1698 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1698, expected_value: W92000004, label: geography} + - {column: D, row: 1698, expected_value: Females, label: sex} + - {column: E, row: 1698, expected_value: Employee, label: employment type} + - {column: J, row: 1698, expected_value: Value, label: measure} + - {column: L, row: 1699, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1700 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1700, expected_value: W92000004, label: geography} + - {column: D, row: 1700, expected_value: Females, label: sex} + - {column: E, row: 1700, expected_value: Employee, label: employment type} + - {column: J, row: 1700, expected_value: Value, label: measure} + - {column: L, row: 1701, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1702 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1702, expected_value: W92000004, label: geography} + - {column: D, row: 1702, expected_value: Females, label: sex} + - {column: E, row: 1702, expected_value: Employee, label: employment type} + - {column: J, row: 1702, expected_value: Value, label: measure} + - {column: L, row: 1703, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1704 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1704, expected_value: W92000004, label: geography} + - {column: D, row: 1704, expected_value: Females, label: sex} + - {column: E, row: 1704, expected_value: Employee, label: employment type} + - {column: J, row: 1704, expected_value: Value, label: measure} + - {column: L, row: 1705, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1706 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1706, expected_value: W92000004, label: geography} + - {column: D, row: 1706, expected_value: Females, label: sex} + - {column: E, row: 1706, expected_value: Employee, label: employment type} + - {column: J, row: 1706, expected_value: Value, label: measure} + - {column: L, row: 1707, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1708 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1708, expected_value: W92000004, label: geography} + - {column: D, row: 1708, expected_value: Females, label: sex} + - {column: E, row: 1708, expected_value: Employee, label: employment type} + - {column: J, row: 1708, expected_value: Value, label: measure} + - {column: L, row: 1709, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1712 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1712, expected_value: W92000004, label: geography} + - {column: D, row: 1712, expected_value: Females, label: sex} + - {column: E, row: 1712, expected_value: Employee, label: employment type} + - {column: J, row: 1712, expected_value: Value, label: measure} + - {column: L, row: 1713, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1714 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1714, expected_value: W92000004, label: geography} + - {column: D, row: 1714, expected_value: Females, label: sex} + - {column: E, row: 1714, expected_value: Employee, label: employment type} + - {column: J, row: 1714, expected_value: Value, label: measure} + - {column: L, row: 1715, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1716 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1716, expected_value: W92000004, label: geography} + - {column: D, row: 1716, expected_value: Females, label: sex} + - {column: E, row: 1716, expected_value: Employee, label: employment type} + - {column: J, row: 1716, expected_value: Value, label: measure} + - {column: L, row: 1717, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1718 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1718, expected_value: W92000004, label: geography} + - {column: D, row: 1718, expected_value: Females, label: sex} + - {column: E, row: 1718, expected_value: Employee, label: employment type} + - {column: J, row: 1718, expected_value: Value, label: measure} + - {column: L, row: 1719, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1720 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1720, expected_value: W92000004, label: geography} + - {column: D, row: 1720, expected_value: Females, label: sex} + - {column: E, row: 1720, expected_value: Employee, label: employment type} + - {column: J, row: 1720, expected_value: Value, label: measure} + - {column: L, row: 1721, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1722 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1722, expected_value: W92000004, label: geography} + - {column: D, row: 1722, expected_value: Females, label: sex} + - {column: E, row: 1722, expected_value: Employee, label: employment type} + - {column: J, row: 1722, expected_value: Value, label: measure} + - {column: L, row: 1723, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1724 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1724, expected_value: W92000004, label: geography} + - {column: D, row: 1724, expected_value: Females, label: sex} + - {column: E, row: 1724, expected_value: Employee, label: employment type} + - {column: J, row: 1724, expected_value: Value, label: measure} + - {column: L, row: 1725, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1726 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1726, expected_value: W92000004, label: geography} + - {column: D, row: 1726, expected_value: Females, label: sex} + - {column: E, row: 1726, expected_value: Employee, label: employment type} + - {column: J, row: 1726, expected_value: Value, label: measure} + - {column: L, row: 1727, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1728 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1728, expected_value: W92000004, label: geography} + - {column: D, row: 1728, expected_value: Females, label: sex} + - {column: E, row: 1728, expected_value: Employee, label: employment type} + - {column: J, row: 1728, expected_value: Value, label: measure} + - {column: L, row: 1729, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1659 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1659, expected_value: W92000004, label: geography} + - {column: D, row: 1659, expected_value: Females, label: sex} + - {column: E, row: 1659, expected_value: Employee, label: employment type} + - {column: J, row: 1659, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1661 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1661, expected_value: W92000004, label: geography} + - {column: D, row: 1661, expected_value: Females, label: sex} + - {column: E, row: 1661, expected_value: Employee, label: employment type} + - {column: J, row: 1661, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1663 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1663, expected_value: W92000004, label: geography} + - {column: D, row: 1663, expected_value: Females, label: sex} + - {column: E, row: 1663, expected_value: Employee, label: employment type} + - {column: J, row: 1663, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1665 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1665, expected_value: W92000004, label: geography} + - {column: D, row: 1665, expected_value: Females, label: sex} + - {column: E, row: 1665, expected_value: Employee, label: employment type} + - {column: J, row: 1665, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1667 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1667, expected_value: W92000004, label: geography} + - {column: D, row: 1667, expected_value: Females, label: sex} + - {column: E, row: 1667, expected_value: Employee, label: employment type} + - {column: J, row: 1667, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1669 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1669, expected_value: W92000004, label: geography} + - {column: D, row: 1669, expected_value: Females, label: sex} + - {column: E, row: 1669, expected_value: Employee, label: employment type} + - {column: J, row: 1669, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1671 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1671, expected_value: W92000004, label: geography} + - {column: D, row: 1671, expected_value: Females, label: sex} + - {column: E, row: 1671, expected_value: Employee, label: employment type} + - {column: J, row: 1671, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1673 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1673, expected_value: W92000004, label: geography} + - {column: D, row: 1673, expected_value: Females, label: sex} + - {column: E, row: 1673, expected_value: Employee, label: employment type} + - {column: J, row: 1673, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1675 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1675, expected_value: W92000004, label: geography} + - {column: D, row: 1675, expected_value: Females, label: sex} + - {column: E, row: 1675, expected_value: Employee, label: employment type} + - {column: J, row: 1675, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1677 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1677, expected_value: W92000004, label: geography} + - {column: D, row: 1677, expected_value: Females, label: sex} + - {column: E, row: 1677, expected_value: Employee, label: employment type} + - {column: J, row: 1677, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1679 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1679, expected_value: W92000004, label: geography} + - {column: D, row: 1679, expected_value: Females, label: sex} + - {column: E, row: 1679, expected_value: Employee, label: employment type} + - {column: J, row: 1679, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1681 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1681, expected_value: W92000004, label: geography} + - {column: D, row: 1681, expected_value: Females, label: sex} + - {column: E, row: 1681, expected_value: Employee, label: employment type} + - {column: J, row: 1681, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1683 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1683, expected_value: W92000004, label: geography} + - {column: D, row: 1683, expected_value: Females, label: sex} + - {column: E, row: 1683, expected_value: Employee, label: employment type} + - {column: J, row: 1683, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1685 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1685, expected_value: W92000004, label: geography} + - {column: D, row: 1685, expected_value: Females, label: sex} + - {column: E, row: 1685, expected_value: Employee, label: employment type} + - {column: J, row: 1685, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1687 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1687, expected_value: W92000004, label: geography} + - {column: D, row: 1687, expected_value: Females, label: sex} + - {column: E, row: 1687, expected_value: Employee, label: employment type} + - {column: J, row: 1687, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1689 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1689, expected_value: W92000004, label: geography} + - {column: D, row: 1689, expected_value: Females, label: sex} + - {column: E, row: 1689, expected_value: Employee, label: employment type} + - {column: J, row: 1689, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1691 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1691, expected_value: W92000004, label: geography} + - {column: D, row: 1691, expected_value: Females, label: sex} + - {column: E, row: 1691, expected_value: Employee, label: employment type} + - {column: J, row: 1691, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1693 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1693, expected_value: W92000004, label: geography} + - {column: D, row: 1693, expected_value: Females, label: sex} + - {column: E, row: 1693, expected_value: Employee, label: employment type} + - {column: J, row: 1693, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1695 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1695, expected_value: W92000004, label: geography} + - {column: D, row: 1695, expected_value: Females, label: sex} + - {column: E, row: 1695, expected_value: Employee, label: employment type} + - {column: J, row: 1695, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1703 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1703, expected_value: W92000004, label: geography} + - {column: D, row: 1703, expected_value: Females, label: sex} + - {column: E, row: 1703, expected_value: Employee, label: employment type} + - {column: J, row: 1703, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1705 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1705, expected_value: W92000004, label: geography} + - {column: D, row: 1705, expected_value: Females, label: sex} + - {column: E, row: 1705, expected_value: Employee, label: employment type} + - {column: J, row: 1705, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1707 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1707, expected_value: W92000004, label: geography} + - {column: D, row: 1707, expected_value: Females, label: sex} + - {column: E, row: 1707, expected_value: Employee, label: employment type} + - {column: J, row: 1707, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1709 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1709, expected_value: W92000004, label: geography} + - {column: D, row: 1709, expected_value: Females, label: sex} + - {column: E, row: 1709, expected_value: Employee, label: employment type} + - {column: J, row: 1709, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1713 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1713, expected_value: W92000004, label: geography} + - {column: D, row: 1713, expected_value: Females, label: sex} + - {column: E, row: 1713, expected_value: Employee, label: employment type} + - {column: J, row: 1713, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1715 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1715, expected_value: W92000004, label: geography} + - {column: D, row: 1715, expected_value: Females, label: sex} + - {column: E, row: 1715, expected_value: Employee, label: employment type} + - {column: J, row: 1715, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1717 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1717, expected_value: W92000004, label: geography} + - {column: D, row: 1717, expected_value: Females, label: sex} + - {column: E, row: 1717, expected_value: Employee, label: employment type} + - {column: J, row: 1717, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1719 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1719, expected_value: W92000004, label: geography} + - {column: D, row: 1719, expected_value: Females, label: sex} + - {column: E, row: 1719, expected_value: Employee, label: employment type} + - {column: J, row: 1719, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1721 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1721, expected_value: W92000004, label: geography} + - {column: D, row: 1721, expected_value: Females, label: sex} + - {column: E, row: 1721, expected_value: Employee, label: employment type} + - {column: J, row: 1721, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1725 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1725, expected_value: W92000004, label: geography} + - {column: D, row: 1725, expected_value: Females, label: sex} + - {column: E, row: 1725, expected_value: Employee, label: employment type} + - {column: J, row: 1725, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1727 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1727, expected_value: W92000004, label: geography} + - {column: D, row: 1727, expected_value: Females, label: sex} + - {column: E, row: 1727, expected_value: Employee, label: employment type} + - {column: J, row: 1727, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1729 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1729, expected_value: W92000004, label: geography} + - {column: D, row: 1729, expected_value: Females, label: sex} + - {column: E, row: 1729, expected_value: Employee, label: employment type} + - {column: J, row: 1729, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1874 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1874, expected_value: W92000004, label: geography} + - {column: D, row: 1874, expected_value: Females, label: sex} + - {column: E, row: 1874, expected_value: Self-employed, label: employment type} + - {column: J, row: 1874, expected_value: Value, label: measure} + - {column: L, row: 1875, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1876 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1876, expected_value: W92000004, label: geography} + - {column: D, row: 1876, expected_value: Females, label: sex} + - {column: E, row: 1876, expected_value: Self-employed, label: employment type} + - {column: J, row: 1876, expected_value: Value, label: measure} + - {column: L, row: 1877, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1878 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1878, expected_value: W92000004, label: geography} + - {column: D, row: 1878, expected_value: Females, label: sex} + - {column: E, row: 1878, expected_value: Self-employed, label: employment type} + - {column: J, row: 1878, expected_value: Value, label: measure} + - {column: L, row: 1879, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1880 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1880, expected_value: W92000004, label: geography} + - {column: D, row: 1880, expected_value: Females, label: sex} + - {column: E, row: 1880, expected_value: Self-employed, label: employment type} + - {column: J, row: 1880, expected_value: Value, label: measure} + - {column: L, row: 1881, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1882 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1882, expected_value: W92000004, label: geography} + - {column: D, row: 1882, expected_value: Females, label: sex} + - {column: E, row: 1882, expected_value: Self-employed, label: employment type} + - {column: J, row: 1882, expected_value: Value, label: measure} + - {column: L, row: 1883, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1884 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1884, expected_value: W92000004, label: geography} + - {column: D, row: 1884, expected_value: Females, label: sex} + - {column: E, row: 1884, expected_value: Self-employed, label: employment type} + - {column: J, row: 1884, expected_value: Value, label: measure} + - {column: L, row: 1885, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1886 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1886, expected_value: W92000004, label: geography} + - {column: D, row: 1886, expected_value: Females, label: sex} + - {column: E, row: 1886, expected_value: Self-employed, label: employment type} + - {column: J, row: 1886, expected_value: Value, label: measure} + - {column: L, row: 1887, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1888 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1888, expected_value: W92000004, label: geography} + - {column: D, row: 1888, expected_value: Females, label: sex} + - {column: E, row: 1888, expected_value: Self-employed, label: employment type} + - {column: J, row: 1888, expected_value: Value, label: measure} + - {column: L, row: 1889, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1890 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1890, expected_value: W92000004, label: geography} + - {column: D, row: 1890, expected_value: Females, label: sex} + - {column: E, row: 1890, expected_value: Self-employed, label: employment type} + - {column: J, row: 1890, expected_value: Value, label: measure} + - {column: L, row: 1891, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1892 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1892, expected_value: W92000004, label: geography} + - {column: D, row: 1892, expected_value: Females, label: sex} + - {column: E, row: 1892, expected_value: Self-employed, label: employment type} + - {column: J, row: 1892, expected_value: Value, label: measure} + - {column: L, row: 1893, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1896 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1896, expected_value: W92000004, label: geography} + - {column: D, row: 1896, expected_value: Females, label: sex} + - {column: E, row: 1896, expected_value: Self-employed, label: employment type} + - {column: J, row: 1896, expected_value: Value, label: measure} + - {column: L, row: 1897, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1900 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1900, expected_value: W92000004, label: geography} + - {column: D, row: 1900, expected_value: Females, label: sex} + - {column: E, row: 1900, expected_value: Self-employed, label: employment type} + - {column: J, row: 1900, expected_value: Value, label: measure} + - {column: L, row: 1901, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1902 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1902, expected_value: W92000004, label: geography} + - {column: D, row: 1902, expected_value: Females, label: sex} + - {column: E, row: 1902, expected_value: Self-employed, label: employment type} + - {column: J, row: 1902, expected_value: Value, label: measure} + - {column: L, row: 1903, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1904 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1904, expected_value: W92000004, label: geography} + - {column: D, row: 1904, expected_value: Females, label: sex} + - {column: E, row: 1904, expected_value: Self-employed, label: employment type} + - {column: J, row: 1904, expected_value: Value, label: measure} + - {column: L, row: 1905, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1906 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1906, expected_value: W92000004, label: geography} + - {column: D, row: 1906, expected_value: Females, label: sex} + - {column: E, row: 1906, expected_value: Self-employed, label: employment type} + - {column: J, row: 1906, expected_value: Value, label: measure} + - {column: L, row: 1907, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1910 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1910, expected_value: W92000004, label: geography} + - {column: D, row: 1910, expected_value: Females, label: sex} + - {column: E, row: 1910, expected_value: Self-employed, label: employment type} + - {column: J, row: 1910, expected_value: Value, label: measure} + - {column: L, row: 1911, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1912 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1912, expected_value: W92000004, label: geography} + - {column: D, row: 1912, expected_value: Females, label: sex} + - {column: E, row: 1912, expected_value: Self-employed, label: employment type} + - {column: J, row: 1912, expected_value: Value, label: measure} + - {column: L, row: 1913, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1916 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1916, expected_value: W92000004, label: geography} + - {column: D, row: 1916, expected_value: Females, label: sex} + - {column: E, row: 1916, expected_value: Self-employed, label: employment type} + - {column: J, row: 1916, expected_value: Value, label: measure} + - {column: L, row: 1917, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1918 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1918, expected_value: W92000004, label: geography} + - {column: D, row: 1918, expected_value: Females, label: sex} + - {column: E, row: 1918, expected_value: Self-employed, label: employment type} + - {column: J, row: 1918, expected_value: Value, label: measure} + - {column: L, row: 1919, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1920 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1920, expected_value: W92000004, label: geography} + - {column: D, row: 1920, expected_value: Females, label: sex} + - {column: E, row: 1920, expected_value: Self-employed, label: employment type} + - {column: J, row: 1920, expected_value: Value, label: measure} + - {column: L, row: 1921, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1922 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1922, expected_value: W92000004, label: geography} + - {column: D, row: 1922, expected_value: Females, label: sex} + - {column: E, row: 1922, expected_value: Self-employed, label: employment type} + - {column: J, row: 1922, expected_value: Value, label: measure} + - {column: L, row: 1923, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1924 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1924, expected_value: W92000004, label: geography} + - {column: D, row: 1924, expected_value: Females, label: sex} + - {column: E, row: 1924, expected_value: Self-employed, label: employment type} + - {column: J, row: 1924, expected_value: Value, label: measure} + - {column: L, row: 1925, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1928 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1928, expected_value: W92000004, label: geography} + - {column: D, row: 1928, expected_value: Females, label: sex} + - {column: E, row: 1928, expected_value: Self-employed, label: employment type} + - {column: J, row: 1928, expected_value: Value, label: measure} + - {column: L, row: 1929, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1930 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1930, expected_value: W92000004, label: geography} + - {column: D, row: 1930, expected_value: Females, label: sex} + - {column: E, row: 1930, expected_value: Self-employed, label: employment type} + - {column: J, row: 1930, expected_value: Value, label: measure} + - {column: L, row: 1931, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1934 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1934, expected_value: W92000004, label: geography} + - {column: D, row: 1934, expected_value: Females, label: sex} + - {column: E, row: 1934, expected_value: Self-employed, label: employment type} + - {column: J, row: 1934, expected_value: Value, label: measure} + - {column: L, row: 1935, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1936 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1936, expected_value: W92000004, label: geography} + - {column: D, row: 1936, expected_value: Females, label: sex} + - {column: E, row: 1936, expected_value: Self-employed, label: employment type} + - {column: J, row: 1936, expected_value: Value, label: measure} + - {column: L, row: 1937, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1938 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1938, expected_value: W92000004, label: geography} + - {column: D, row: 1938, expected_value: Females, label: sex} + - {column: E, row: 1938, expected_value: Self-employed, label: employment type} + - {column: J, row: 1938, expected_value: Value, label: measure} + - {column: L, row: 1939, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1940 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1940, expected_value: W92000004, label: geography} + - {column: D, row: 1940, expected_value: Females, label: sex} + - {column: E, row: 1940, expected_value: Self-employed, label: employment type} + - {column: J, row: 1940, expected_value: Value, label: measure} + - {column: L, row: 1941, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1942 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1942, expected_value: W92000004, label: geography} + - {column: D, row: 1942, expected_value: Females, label: sex} + - {column: E, row: 1942, expected_value: Self-employed, label: employment type} + - {column: J, row: 1942, expected_value: Value, label: measure} + - {column: L, row: 1943, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1944 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1944, expected_value: W92000004, label: geography} + - {column: D, row: 1944, expected_value: Females, label: sex} + - {column: E, row: 1944, expected_value: Self-employed, label: employment type} + - {column: J, row: 1944, expected_value: Value, label: measure} + - {column: L, row: 1945, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.w92000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1875 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1875, expected_value: W92000004, label: geography} + - {column: D, row: 1875, expected_value: Females, label: sex} + - {column: E, row: 1875, expected_value: Self-employed, label: employment type} + - {column: J, row: 1875, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1877 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1877, expected_value: W92000004, label: geography} + - {column: D, row: 1877, expected_value: Females, label: sex} + - {column: E, row: 1877, expected_value: Self-employed, label: employment type} + - {column: J, row: 1877, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1879 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1879, expected_value: W92000004, label: geography} + - {column: D, row: 1879, expected_value: Females, label: sex} + - {column: E, row: 1879, expected_value: Self-employed, label: employment type} + - {column: J, row: 1879, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1881 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1881, expected_value: W92000004, label: geography} + - {column: D, row: 1881, expected_value: Females, label: sex} + - {column: E, row: 1881, expected_value: Self-employed, label: employment type} + - {column: J, row: 1881, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1883 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1883, expected_value: W92000004, label: geography} + - {column: D, row: 1883, expected_value: Females, label: sex} + - {column: E, row: 1883, expected_value: Self-employed, label: employment type} + - {column: J, row: 1883, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1885 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1885, expected_value: W92000004, label: geography} + - {column: D, row: 1885, expected_value: Females, label: sex} + - {column: E, row: 1885, expected_value: Self-employed, label: employment type} + - {column: J, row: 1885, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1887 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1887, expected_value: W92000004, label: geography} + - {column: D, row: 1887, expected_value: Females, label: sex} + - {column: E, row: 1887, expected_value: Self-employed, label: employment type} + - {column: J, row: 1887, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1889 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1889, expected_value: W92000004, label: geography} + - {column: D, row: 1889, expected_value: Females, label: sex} + - {column: E, row: 1889, expected_value: Self-employed, label: employment type} + - {column: J, row: 1889, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1891 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1891, expected_value: W92000004, label: geography} + - {column: D, row: 1891, expected_value: Females, label: sex} + - {column: E, row: 1891, expected_value: Self-employed, label: employment type} + - {column: J, row: 1891, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1893 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1893, expected_value: W92000004, label: geography} + - {column: D, row: 1893, expected_value: Females, label: sex} + - {column: E, row: 1893, expected_value: Self-employed, label: employment type} + - {column: J, row: 1893, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1897 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1897, expected_value: W92000004, label: geography} + - {column: D, row: 1897, expected_value: Females, label: sex} + - {column: E, row: 1897, expected_value: Self-employed, label: employment type} + - {column: J, row: 1897, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1901 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1901, expected_value: W92000004, label: geography} + - {column: D, row: 1901, expected_value: Females, label: sex} + - {column: E, row: 1901, expected_value: Self-employed, label: employment type} + - {column: J, row: 1901, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1903 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1903, expected_value: W92000004, label: geography} + - {column: D, row: 1903, expected_value: Females, label: sex} + - {column: E, row: 1903, expected_value: Self-employed, label: employment type} + - {column: J, row: 1903, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1905 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1905, expected_value: W92000004, label: geography} + - {column: D, row: 1905, expected_value: Females, label: sex} + - {column: E, row: 1905, expected_value: Self-employed, label: employment type} + - {column: J, row: 1905, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1907 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1907, expected_value: W92000004, label: geography} + - {column: D, row: 1907, expected_value: Females, label: sex} + - {column: E, row: 1907, expected_value: Self-employed, label: employment type} + - {column: J, row: 1907, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1911 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1911, expected_value: W92000004, label: geography} + - {column: D, row: 1911, expected_value: Females, label: sex} + - {column: E, row: 1911, expected_value: Self-employed, label: employment type} + - {column: J, row: 1911, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1913 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1913, expected_value: W92000004, label: geography} + - {column: D, row: 1913, expected_value: Females, label: sex} + - {column: E, row: 1913, expected_value: Self-employed, label: employment type} + - {column: J, row: 1913, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1919 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1919, expected_value: W92000004, label: geography} + - {column: D, row: 1919, expected_value: Females, label: sex} + - {column: E, row: 1919, expected_value: Self-employed, label: employment type} + - {column: J, row: 1919, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1921 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1921, expected_value: W92000004, label: geography} + - {column: D, row: 1921, expected_value: Females, label: sex} + - {column: E, row: 1921, expected_value: Self-employed, label: employment type} + - {column: J, row: 1921, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1923 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1923, expected_value: W92000004, label: geography} + - {column: D, row: 1923, expected_value: Females, label: sex} + - {column: E, row: 1923, expected_value: Self-employed, label: employment type} + - {column: J, row: 1923, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1925 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1925, expected_value: W92000004, label: geography} + - {column: D, row: 1925, expected_value: Females, label: sex} + - {column: E, row: 1925, expected_value: Self-employed, label: employment type} + - {column: J, row: 1925, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1929 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1929, expected_value: W92000004, label: geography} + - {column: D, row: 1929, expected_value: Females, label: sex} + - {column: E, row: 1929, expected_value: Self-employed, label: employment type} + - {column: J, row: 1929, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1931 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1931, expected_value: W92000004, label: geography} + - {column: D, row: 1931, expected_value: Females, label: sex} + - {column: E, row: 1931, expected_value: Self-employed, label: employment type} + - {column: J, row: 1931, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1935 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1935, expected_value: W92000004, label: geography} + - {column: D, row: 1935, expected_value: Females, label: sex} + - {column: E, row: 1935, expected_value: Self-employed, label: employment type} + - {column: J, row: 1935, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1941 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1941, expected_value: W92000004, label: geography} + - {column: D, row: 1941, expected_value: Females, label: sex} + - {column: E, row: 1941, expected_value: Self-employed, label: employment type} + - {column: J, row: 1941, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1945 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1945, expected_value: W92000004, label: geography} + - {column: D, row: 1945, expected_value: Females, label: sex} + - {column: E, row: 1945, expected_value: Self-employed, label: employment type} + - {column: J, row: 1945, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1946 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1946, expected_value: S92000003, label: geography} + - {column: D, row: 1946, expected_value: All persons, label: sex} + - {column: E, row: 1946, expected_value: Total, label: employment type} + - {column: J, row: 1946, expected_value: Value, label: measure} + - {column: L, row: 1947, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1948 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1948, expected_value: S92000003, label: geography} + - {column: D, row: 1948, expected_value: All persons, label: sex} + - {column: E, row: 1948, expected_value: Total, label: employment type} + - {column: J, row: 1948, expected_value: Value, label: measure} + - {column: L, row: 1949, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1950 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1950, expected_value: S92000003, label: geography} + - {column: D, row: 1950, expected_value: All persons, label: sex} + - {column: E, row: 1950, expected_value: Total, label: employment type} + - {column: J, row: 1950, expected_value: Value, label: measure} + - {column: L, row: 1951, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1952 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1952, expected_value: S92000003, label: geography} + - {column: D, row: 1952, expected_value: All persons, label: sex} + - {column: E, row: 1952, expected_value: Total, label: employment type} + - {column: J, row: 1952, expected_value: Value, label: measure} + - {column: L, row: 1953, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1954 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1954, expected_value: S92000003, label: geography} + - {column: D, row: 1954, expected_value: All persons, label: sex} + - {column: E, row: 1954, expected_value: Total, label: employment type} + - {column: J, row: 1954, expected_value: Value, label: measure} + - {column: L, row: 1955, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1956 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1956, expected_value: S92000003, label: geography} + - {column: D, row: 1956, expected_value: All persons, label: sex} + - {column: E, row: 1956, expected_value: Total, label: employment type} + - {column: J, row: 1956, expected_value: Value, label: measure} + - {column: L, row: 1957, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1958 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1958, expected_value: S92000003, label: geography} + - {column: D, row: 1958, expected_value: All persons, label: sex} + - {column: E, row: 1958, expected_value: Total, label: employment type} + - {column: J, row: 1958, expected_value: Value, label: measure} + - {column: L, row: 1959, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1960 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1960, expected_value: S92000003, label: geography} + - {column: D, row: 1960, expected_value: All persons, label: sex} + - {column: E, row: 1960, expected_value: Total, label: employment type} + - {column: J, row: 1960, expected_value: Value, label: measure} + - {column: L, row: 1961, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1962 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1962, expected_value: S92000003, label: geography} + - {column: D, row: 1962, expected_value: All persons, label: sex} + - {column: E, row: 1962, expected_value: Total, label: employment type} + - {column: J, row: 1962, expected_value: Value, label: measure} + - {column: L, row: 1963, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1964 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1964, expected_value: S92000003, label: geography} + - {column: D, row: 1964, expected_value: All persons, label: sex} + - {column: E, row: 1964, expected_value: Total, label: employment type} + - {column: J, row: 1964, expected_value: Value, label: measure} + - {column: L, row: 1965, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1966 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1966, expected_value: S92000003, label: geography} + - {column: D, row: 1966, expected_value: All persons, label: sex} + - {column: E, row: 1966, expected_value: Total, label: employment type} + - {column: J, row: 1966, expected_value: Value, label: measure} + - {column: L, row: 1967, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1968 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1968, expected_value: S92000003, label: geography} + - {column: D, row: 1968, expected_value: All persons, label: sex} + - {column: E, row: 1968, expected_value: Total, label: employment type} + - {column: J, row: 1968, expected_value: Value, label: measure} + - {column: L, row: 1969, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1970 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1970, expected_value: S92000003, label: geography} + - {column: D, row: 1970, expected_value: All persons, label: sex} + - {column: E, row: 1970, expected_value: Total, label: employment type} + - {column: J, row: 1970, expected_value: Value, label: measure} + - {column: L, row: 1971, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1972 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1972, expected_value: S92000003, label: geography} + - {column: D, row: 1972, expected_value: All persons, label: sex} + - {column: E, row: 1972, expected_value: Total, label: employment type} + - {column: J, row: 1972, expected_value: Value, label: measure} + - {column: L, row: 1973, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1974 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1974, expected_value: S92000003, label: geography} + - {column: D, row: 1974, expected_value: All persons, label: sex} + - {column: E, row: 1974, expected_value: Total, label: employment type} + - {column: J, row: 1974, expected_value: Value, label: measure} + - {column: L, row: 1975, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1976 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1976, expected_value: S92000003, label: geography} + - {column: D, row: 1976, expected_value: All persons, label: sex} + - {column: E, row: 1976, expected_value: Total, label: employment type} + - {column: J, row: 1976, expected_value: Value, label: measure} + - {column: L, row: 1977, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1978 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1978, expected_value: S92000003, label: geography} + - {column: D, row: 1978, expected_value: All persons, label: sex} + - {column: E, row: 1978, expected_value: Total, label: employment type} + - {column: J, row: 1978, expected_value: Value, label: measure} + - {column: L, row: 1979, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1980 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1980, expected_value: S92000003, label: geography} + - {column: D, row: 1980, expected_value: All persons, label: sex} + - {column: E, row: 1980, expected_value: Total, label: employment type} + - {column: J, row: 1980, expected_value: Value, label: measure} + - {column: L, row: 1981, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1982 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1982, expected_value: S92000003, label: geography} + - {column: D, row: 1982, expected_value: All persons, label: sex} + - {column: E, row: 1982, expected_value: Total, label: employment type} + - {column: J, row: 1982, expected_value: Value, label: measure} + - {column: L, row: 1983, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1984 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1984, expected_value: S92000003, label: geography} + - {column: D, row: 1984, expected_value: All persons, label: sex} + - {column: E, row: 1984, expected_value: Total, label: employment type} + - {column: J, row: 1984, expected_value: Value, label: measure} + - {column: L, row: 1985, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1986 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1986, expected_value: S92000003, label: geography} + - {column: D, row: 1986, expected_value: All persons, label: sex} + - {column: E, row: 1986, expected_value: Total, label: employment type} + - {column: J, row: 1986, expected_value: Value, label: measure} + - {column: L, row: 1987, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1988 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1988, expected_value: S92000003, label: geography} + - {column: D, row: 1988, expected_value: All persons, label: sex} + - {column: E, row: 1988, expected_value: Total, label: employment type} + - {column: J, row: 1988, expected_value: Value, label: measure} + - {column: L, row: 1989, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1990 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1990, expected_value: S92000003, label: geography} + - {column: D, row: 1990, expected_value: All persons, label: sex} + - {column: E, row: 1990, expected_value: Total, label: employment type} + - {column: J, row: 1990, expected_value: Value, label: measure} + - {column: L, row: 1991, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1992 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1992, expected_value: S92000003, label: geography} + - {column: D, row: 1992, expected_value: All persons, label: sex} + - {column: E, row: 1992, expected_value: Total, label: employment type} + - {column: J, row: 1992, expected_value: Value, label: measure} + - {column: L, row: 1993, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1994 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1994, expected_value: S92000003, label: geography} + - {column: D, row: 1994, expected_value: All persons, label: sex} + - {column: E, row: 1994, expected_value: Total, label: employment type} + - {column: J, row: 1994, expected_value: Value, label: measure} + - {column: L, row: 1995, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1996 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1996, expected_value: S92000003, label: geography} + - {column: D, row: 1996, expected_value: All persons, label: sex} + - {column: E, row: 1996, expected_value: Total, label: employment type} + - {column: J, row: 1996, expected_value: Value, label: measure} + - {column: L, row: 1997, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2000 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2000, expected_value: S92000003, label: geography} + - {column: D, row: 2000, expected_value: All persons, label: sex} + - {column: E, row: 2000, expected_value: Total, label: employment type} + - {column: J, row: 2000, expected_value: Value, label: measure} + - {column: L, row: 2001, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2002 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2002, expected_value: S92000003, label: geography} + - {column: D, row: 2002, expected_value: All persons, label: sex} + - {column: E, row: 2002, expected_value: Total, label: employment type} + - {column: J, row: 2002, expected_value: Value, label: measure} + - {column: L, row: 2003, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2004 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2004, expected_value: S92000003, label: geography} + - {column: D, row: 2004, expected_value: All persons, label: sex} + - {column: E, row: 2004, expected_value: Total, label: employment type} + - {column: J, row: 2004, expected_value: Value, label: measure} + - {column: L, row: 2005, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2006 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2006, expected_value: S92000003, label: geography} + - {column: D, row: 2006, expected_value: All persons, label: sex} + - {column: E, row: 2006, expected_value: Total, label: employment type} + - {column: J, row: 2006, expected_value: Value, label: measure} + - {column: L, row: 2007, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2008 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2008, expected_value: S92000003, label: geography} + - {column: D, row: 2008, expected_value: All persons, label: sex} + - {column: E, row: 2008, expected_value: Total, label: employment type} + - {column: J, row: 2008, expected_value: Value, label: measure} + - {column: L, row: 2009, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2010 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2010, expected_value: S92000003, label: geography} + - {column: D, row: 2010, expected_value: All persons, label: sex} + - {column: E, row: 2010, expected_value: Total, label: employment type} + - {column: J, row: 2010, expected_value: Value, label: measure} + - {column: L, row: 2011, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2012 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2012, expected_value: S92000003, label: geography} + - {column: D, row: 2012, expected_value: All persons, label: sex} + - {column: E, row: 2012, expected_value: Total, label: employment type} + - {column: J, row: 2012, expected_value: Value, label: measure} + - {column: L, row: 2013, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2014 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2014, expected_value: S92000003, label: geography} + - {column: D, row: 2014, expected_value: All persons, label: sex} + - {column: E, row: 2014, expected_value: Total, label: employment type} + - {column: J, row: 2014, expected_value: Value, label: measure} + - {column: L, row: 2015, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2016 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2016, expected_value: S92000003, label: geography} + - {column: D, row: 2016, expected_value: All persons, label: sex} + - {column: E, row: 2016, expected_value: Total, label: employment type} + - {column: J, row: 2016, expected_value: Value, label: measure} + - {column: L, row: 2017, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1947 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1947, expected_value: S92000003, label: geography} + - {column: D, row: 1947, expected_value: All persons, label: sex} + - {column: E, row: 1947, expected_value: Total, label: employment type} + - {column: J, row: 1947, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1949 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1949, expected_value: S92000003, label: geography} + - {column: D, row: 1949, expected_value: All persons, label: sex} + - {column: E, row: 1949, expected_value: Total, label: employment type} + - {column: J, row: 1949, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1951 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1951, expected_value: S92000003, label: geography} + - {column: D, row: 1951, expected_value: All persons, label: sex} + - {column: E, row: 1951, expected_value: Total, label: employment type} + - {column: J, row: 1951, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1953 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1953, expected_value: S92000003, label: geography} + - {column: D, row: 1953, expected_value: All persons, label: sex} + - {column: E, row: 1953, expected_value: Total, label: employment type} + - {column: J, row: 1953, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1955 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1955, expected_value: S92000003, label: geography} + - {column: D, row: 1955, expected_value: All persons, label: sex} + - {column: E, row: 1955, expected_value: Total, label: employment type} + - {column: J, row: 1955, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1957 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1957, expected_value: S92000003, label: geography} + - {column: D, row: 1957, expected_value: All persons, label: sex} + - {column: E, row: 1957, expected_value: Total, label: employment type} + - {column: J, row: 1957, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1959 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1959, expected_value: S92000003, label: geography} + - {column: D, row: 1959, expected_value: All persons, label: sex} + - {column: E, row: 1959, expected_value: Total, label: employment type} + - {column: J, row: 1959, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1961 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1961, expected_value: S92000003, label: geography} + - {column: D, row: 1961, expected_value: All persons, label: sex} + - {column: E, row: 1961, expected_value: Total, label: employment type} + - {column: J, row: 1961, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1963 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1963, expected_value: S92000003, label: geography} + - {column: D, row: 1963, expected_value: All persons, label: sex} + - {column: E, row: 1963, expected_value: Total, label: employment type} + - {column: J, row: 1963, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1965 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1965, expected_value: S92000003, label: geography} + - {column: D, row: 1965, expected_value: All persons, label: sex} + - {column: E, row: 1965, expected_value: Total, label: employment type} + - {column: J, row: 1965, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1967 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1967, expected_value: S92000003, label: geography} + - {column: D, row: 1967, expected_value: All persons, label: sex} + - {column: E, row: 1967, expected_value: Total, label: employment type} + - {column: J, row: 1967, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1969 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1969, expected_value: S92000003, label: geography} + - {column: D, row: 1969, expected_value: All persons, label: sex} + - {column: E, row: 1969, expected_value: Total, label: employment type} + - {column: J, row: 1969, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1971 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1971, expected_value: S92000003, label: geography} + - {column: D, row: 1971, expected_value: All persons, label: sex} + - {column: E, row: 1971, expected_value: Total, label: employment type} + - {column: J, row: 1971, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1973 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1973, expected_value: S92000003, label: geography} + - {column: D, row: 1973, expected_value: All persons, label: sex} + - {column: E, row: 1973, expected_value: Total, label: employment type} + - {column: J, row: 1973, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1975 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1975, expected_value: S92000003, label: geography} + - {column: D, row: 1975, expected_value: All persons, label: sex} + - {column: E, row: 1975, expected_value: Total, label: employment type} + - {column: J, row: 1975, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1977 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1977, expected_value: S92000003, label: geography} + - {column: D, row: 1977, expected_value: All persons, label: sex} + - {column: E, row: 1977, expected_value: Total, label: employment type} + - {column: J, row: 1977, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1979 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1979, expected_value: S92000003, label: geography} + - {column: D, row: 1979, expected_value: All persons, label: sex} + - {column: E, row: 1979, expected_value: Total, label: employment type} + - {column: J, row: 1979, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1981 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1981, expected_value: S92000003, label: geography} + - {column: D, row: 1981, expected_value: All persons, label: sex} + - {column: E, row: 1981, expected_value: Total, label: employment type} + - {column: J, row: 1981, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1983 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1983, expected_value: S92000003, label: geography} + - {column: D, row: 1983, expected_value: All persons, label: sex} + - {column: E, row: 1983, expected_value: Total, label: employment type} + - {column: J, row: 1983, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1985 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1985, expected_value: S92000003, label: geography} + - {column: D, row: 1985, expected_value: All persons, label: sex} + - {column: E, row: 1985, expected_value: Total, label: employment type} + - {column: J, row: 1985, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1987 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1987, expected_value: S92000003, label: geography} + - {column: D, row: 1987, expected_value: All persons, label: sex} + - {column: E, row: 1987, expected_value: Total, label: employment type} + - {column: J, row: 1987, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1989 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1989, expected_value: S92000003, label: geography} + - {column: D, row: 1989, expected_value: All persons, label: sex} + - {column: E, row: 1989, expected_value: Total, label: employment type} + - {column: J, row: 1989, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1991 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1991, expected_value: S92000003, label: geography} + - {column: D, row: 1991, expected_value: All persons, label: sex} + - {column: E, row: 1991, expected_value: Total, label: employment type} + - {column: J, row: 1991, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1993 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1993, expected_value: S92000003, label: geography} + - {column: D, row: 1993, expected_value: All persons, label: sex} + - {column: E, row: 1993, expected_value: Total, label: employment type} + - {column: J, row: 1993, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1995 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1995, expected_value: S92000003, label: geography} + - {column: D, row: 1995, expected_value: All persons, label: sex} + - {column: E, row: 1995, expected_value: Total, label: employment type} + - {column: J, row: 1995, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1997 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1997, expected_value: S92000003, label: geography} + - {column: D, row: 1997, expected_value: All persons, label: sex} + - {column: E, row: 1997, expected_value: Total, label: employment type} + - {column: J, row: 1997, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2001 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2001, expected_value: S92000003, label: geography} + - {column: D, row: 2001, expected_value: All persons, label: sex} + - {column: E, row: 2001, expected_value: Total, label: employment type} + - {column: J, row: 2001, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2003 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2003, expected_value: S92000003, label: geography} + - {column: D, row: 2003, expected_value: All persons, label: sex} + - {column: E, row: 2003, expected_value: Total, label: employment type} + - {column: J, row: 2003, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2005 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2005, expected_value: S92000003, label: geography} + - {column: D, row: 2005, expected_value: All persons, label: sex} + - {column: E, row: 2005, expected_value: Total, label: employment type} + - {column: J, row: 2005, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2007 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2007, expected_value: S92000003, label: geography} + - {column: D, row: 2007, expected_value: All persons, label: sex} + - {column: E, row: 2007, expected_value: Total, label: employment type} + - {column: J, row: 2007, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2009 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2009, expected_value: S92000003, label: geography} + - {column: D, row: 2009, expected_value: All persons, label: sex} + - {column: E, row: 2009, expected_value: Total, label: employment type} + - {column: J, row: 2009, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2011 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2011, expected_value: S92000003, label: geography} + - {column: D, row: 2011, expected_value: All persons, label: sex} + - {column: E, row: 2011, expected_value: Total, label: employment type} + - {column: J, row: 2011, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2013 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2013, expected_value: S92000003, label: geography} + - {column: D, row: 2013, expected_value: All persons, label: sex} + - {column: E, row: 2013, expected_value: Total, label: employment type} + - {column: J, row: 2013, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2015 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2015, expected_value: S92000003, label: geography} + - {column: D, row: 2015, expected_value: All persons, label: sex} + - {column: E, row: 2015, expected_value: Total, label: employment type} + - {column: J, row: 2015, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2017 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2017, expected_value: S92000003, label: geography} + - {column: D, row: 2017, expected_value: All persons, label: sex} + - {column: E, row: 2017, expected_value: Total, label: employment type} + - {column: J, row: 2017, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2162 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2162, expected_value: S92000003, label: geography} + - {column: D, row: 2162, expected_value: All persons, label: sex} + - {column: E, row: 2162, expected_value: Employee, label: employment type} + - {column: J, row: 2162, expected_value: Value, label: measure} + - {column: L, row: 2163, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2164 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2164, expected_value: S92000003, label: geography} + - {column: D, row: 2164, expected_value: All persons, label: sex} + - {column: E, row: 2164, expected_value: Employee, label: employment type} + - {column: J, row: 2164, expected_value: Value, label: measure} + - {column: L, row: 2165, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2166 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2166, expected_value: S92000003, label: geography} + - {column: D, row: 2166, expected_value: All persons, label: sex} + - {column: E, row: 2166, expected_value: Employee, label: employment type} + - {column: J, row: 2166, expected_value: Value, label: measure} + - {column: L, row: 2167, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2168 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2168, expected_value: S92000003, label: geography} + - {column: D, row: 2168, expected_value: All persons, label: sex} + - {column: E, row: 2168, expected_value: Employee, label: employment type} + - {column: J, row: 2168, expected_value: Value, label: measure} + - {column: L, row: 2169, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2170 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2170, expected_value: S92000003, label: geography} + - {column: D, row: 2170, expected_value: All persons, label: sex} + - {column: E, row: 2170, expected_value: Employee, label: employment type} + - {column: J, row: 2170, expected_value: Value, label: measure} + - {column: L, row: 2171, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2172 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2172, expected_value: S92000003, label: geography} + - {column: D, row: 2172, expected_value: All persons, label: sex} + - {column: E, row: 2172, expected_value: Employee, label: employment type} + - {column: J, row: 2172, expected_value: Value, label: measure} + - {column: L, row: 2173, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2174 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2174, expected_value: S92000003, label: geography} + - {column: D, row: 2174, expected_value: All persons, label: sex} + - {column: E, row: 2174, expected_value: Employee, label: employment type} + - {column: J, row: 2174, expected_value: Value, label: measure} + - {column: L, row: 2175, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2176 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2176, expected_value: S92000003, label: geography} + - {column: D, row: 2176, expected_value: All persons, label: sex} + - {column: E, row: 2176, expected_value: Employee, label: employment type} + - {column: J, row: 2176, expected_value: Value, label: measure} + - {column: L, row: 2177, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2178 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2178, expected_value: S92000003, label: geography} + - {column: D, row: 2178, expected_value: All persons, label: sex} + - {column: E, row: 2178, expected_value: Employee, label: employment type} + - {column: J, row: 2178, expected_value: Value, label: measure} + - {column: L, row: 2179, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2180 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2180, expected_value: S92000003, label: geography} + - {column: D, row: 2180, expected_value: All persons, label: sex} + - {column: E, row: 2180, expected_value: Employee, label: employment type} + - {column: J, row: 2180, expected_value: Value, label: measure} + - {column: L, row: 2181, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2182 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2182, expected_value: S92000003, label: geography} + - {column: D, row: 2182, expected_value: All persons, label: sex} + - {column: E, row: 2182, expected_value: Employee, label: employment type} + - {column: J, row: 2182, expected_value: Value, label: measure} + - {column: L, row: 2183, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2184 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2184, expected_value: S92000003, label: geography} + - {column: D, row: 2184, expected_value: All persons, label: sex} + - {column: E, row: 2184, expected_value: Employee, label: employment type} + - {column: J, row: 2184, expected_value: Value, label: measure} + - {column: L, row: 2185, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2186 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2186, expected_value: S92000003, label: geography} + - {column: D, row: 2186, expected_value: All persons, label: sex} + - {column: E, row: 2186, expected_value: Employee, label: employment type} + - {column: J, row: 2186, expected_value: Value, label: measure} + - {column: L, row: 2187, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2188 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2188, expected_value: S92000003, label: geography} + - {column: D, row: 2188, expected_value: All persons, label: sex} + - {column: E, row: 2188, expected_value: Employee, label: employment type} + - {column: J, row: 2188, expected_value: Value, label: measure} + - {column: L, row: 2189, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2190 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2190, expected_value: S92000003, label: geography} + - {column: D, row: 2190, expected_value: All persons, label: sex} + - {column: E, row: 2190, expected_value: Employee, label: employment type} + - {column: J, row: 2190, expected_value: Value, label: measure} + - {column: L, row: 2191, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2192 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2192, expected_value: S92000003, label: geography} + - {column: D, row: 2192, expected_value: All persons, label: sex} + - {column: E, row: 2192, expected_value: Employee, label: employment type} + - {column: J, row: 2192, expected_value: Value, label: measure} + - {column: L, row: 2193, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2194 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2194, expected_value: S92000003, label: geography} + - {column: D, row: 2194, expected_value: All persons, label: sex} + - {column: E, row: 2194, expected_value: Employee, label: employment type} + - {column: J, row: 2194, expected_value: Value, label: measure} + - {column: L, row: 2195, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2196 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2196, expected_value: S92000003, label: geography} + - {column: D, row: 2196, expected_value: All persons, label: sex} + - {column: E, row: 2196, expected_value: Employee, label: employment type} + - {column: J, row: 2196, expected_value: Value, label: measure} + - {column: L, row: 2197, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2198 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2198, expected_value: S92000003, label: geography} + - {column: D, row: 2198, expected_value: All persons, label: sex} + - {column: E, row: 2198, expected_value: Employee, label: employment type} + - {column: J, row: 2198, expected_value: Value, label: measure} + - {column: L, row: 2199, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2200 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2200, expected_value: S92000003, label: geography} + - {column: D, row: 2200, expected_value: All persons, label: sex} + - {column: E, row: 2200, expected_value: Employee, label: employment type} + - {column: J, row: 2200, expected_value: Value, label: measure} + - {column: L, row: 2201, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2202 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2202, expected_value: S92000003, label: geography} + - {column: D, row: 2202, expected_value: All persons, label: sex} + - {column: E, row: 2202, expected_value: Employee, label: employment type} + - {column: J, row: 2202, expected_value: Value, label: measure} + - {column: L, row: 2203, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2204 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2204, expected_value: S92000003, label: geography} + - {column: D, row: 2204, expected_value: All persons, label: sex} + - {column: E, row: 2204, expected_value: Employee, label: employment type} + - {column: J, row: 2204, expected_value: Value, label: measure} + - {column: L, row: 2205, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2206 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2206, expected_value: S92000003, label: geography} + - {column: D, row: 2206, expected_value: All persons, label: sex} + - {column: E, row: 2206, expected_value: Employee, label: employment type} + - {column: J, row: 2206, expected_value: Value, label: measure} + - {column: L, row: 2207, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2208 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2208, expected_value: S92000003, label: geography} + - {column: D, row: 2208, expected_value: All persons, label: sex} + - {column: E, row: 2208, expected_value: Employee, label: employment type} + - {column: J, row: 2208, expected_value: Value, label: measure} + - {column: L, row: 2209, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2210 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2210, expected_value: S92000003, label: geography} + - {column: D, row: 2210, expected_value: All persons, label: sex} + - {column: E, row: 2210, expected_value: Employee, label: employment type} + - {column: J, row: 2210, expected_value: Value, label: measure} + - {column: L, row: 2211, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2212 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2212, expected_value: S92000003, label: geography} + - {column: D, row: 2212, expected_value: All persons, label: sex} + - {column: E, row: 2212, expected_value: Employee, label: employment type} + - {column: J, row: 2212, expected_value: Value, label: measure} + - {column: L, row: 2213, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2216 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2216, expected_value: S92000003, label: geography} + - {column: D, row: 2216, expected_value: All persons, label: sex} + - {column: E, row: 2216, expected_value: Employee, label: employment type} + - {column: J, row: 2216, expected_value: Value, label: measure} + - {column: L, row: 2217, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2218 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2218, expected_value: S92000003, label: geography} + - {column: D, row: 2218, expected_value: All persons, label: sex} + - {column: E, row: 2218, expected_value: Employee, label: employment type} + - {column: J, row: 2218, expected_value: Value, label: measure} + - {column: L, row: 2219, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2220 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2220, expected_value: S92000003, label: geography} + - {column: D, row: 2220, expected_value: All persons, label: sex} + - {column: E, row: 2220, expected_value: Employee, label: employment type} + - {column: J, row: 2220, expected_value: Value, label: measure} + - {column: L, row: 2221, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2222 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2222, expected_value: S92000003, label: geography} + - {column: D, row: 2222, expected_value: All persons, label: sex} + - {column: E, row: 2222, expected_value: Employee, label: employment type} + - {column: J, row: 2222, expected_value: Value, label: measure} + - {column: L, row: 2223, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2224 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2224, expected_value: S92000003, label: geography} + - {column: D, row: 2224, expected_value: All persons, label: sex} + - {column: E, row: 2224, expected_value: Employee, label: employment type} + - {column: J, row: 2224, expected_value: Value, label: measure} + - {column: L, row: 2225, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2226 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2226, expected_value: S92000003, label: geography} + - {column: D, row: 2226, expected_value: All persons, label: sex} + - {column: E, row: 2226, expected_value: Employee, label: employment type} + - {column: J, row: 2226, expected_value: Value, label: measure} + - {column: L, row: 2227, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2228 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2228, expected_value: S92000003, label: geography} + - {column: D, row: 2228, expected_value: All persons, label: sex} + - {column: E, row: 2228, expected_value: Employee, label: employment type} + - {column: J, row: 2228, expected_value: Value, label: measure} + - {column: L, row: 2229, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2230 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2230, expected_value: S92000003, label: geography} + - {column: D, row: 2230, expected_value: All persons, label: sex} + - {column: E, row: 2230, expected_value: Employee, label: employment type} + - {column: J, row: 2230, expected_value: Value, label: measure} + - {column: L, row: 2231, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2232 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2232, expected_value: S92000003, label: geography} + - {column: D, row: 2232, expected_value: All persons, label: sex} + - {column: E, row: 2232, expected_value: Employee, label: employment type} + - {column: J, row: 2232, expected_value: Value, label: measure} + - {column: L, row: 2233, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2163 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2163, expected_value: S92000003, label: geography} + - {column: D, row: 2163, expected_value: All persons, label: sex} + - {column: E, row: 2163, expected_value: Employee, label: employment type} + - {column: J, row: 2163, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2165 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2165, expected_value: S92000003, label: geography} + - {column: D, row: 2165, expected_value: All persons, label: sex} + - {column: E, row: 2165, expected_value: Employee, label: employment type} + - {column: J, row: 2165, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2167 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2167, expected_value: S92000003, label: geography} + - {column: D, row: 2167, expected_value: All persons, label: sex} + - {column: E, row: 2167, expected_value: Employee, label: employment type} + - {column: J, row: 2167, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2169 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2169, expected_value: S92000003, label: geography} + - {column: D, row: 2169, expected_value: All persons, label: sex} + - {column: E, row: 2169, expected_value: Employee, label: employment type} + - {column: J, row: 2169, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2171 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2171, expected_value: S92000003, label: geography} + - {column: D, row: 2171, expected_value: All persons, label: sex} + - {column: E, row: 2171, expected_value: Employee, label: employment type} + - {column: J, row: 2171, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2173 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2173, expected_value: S92000003, label: geography} + - {column: D, row: 2173, expected_value: All persons, label: sex} + - {column: E, row: 2173, expected_value: Employee, label: employment type} + - {column: J, row: 2173, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2175 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2175, expected_value: S92000003, label: geography} + - {column: D, row: 2175, expected_value: All persons, label: sex} + - {column: E, row: 2175, expected_value: Employee, label: employment type} + - {column: J, row: 2175, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2177 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2177, expected_value: S92000003, label: geography} + - {column: D, row: 2177, expected_value: All persons, label: sex} + - {column: E, row: 2177, expected_value: Employee, label: employment type} + - {column: J, row: 2177, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2179 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2179, expected_value: S92000003, label: geography} + - {column: D, row: 2179, expected_value: All persons, label: sex} + - {column: E, row: 2179, expected_value: Employee, label: employment type} + - {column: J, row: 2179, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2181 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2181, expected_value: S92000003, label: geography} + - {column: D, row: 2181, expected_value: All persons, label: sex} + - {column: E, row: 2181, expected_value: Employee, label: employment type} + - {column: J, row: 2181, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2183 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2183, expected_value: S92000003, label: geography} + - {column: D, row: 2183, expected_value: All persons, label: sex} + - {column: E, row: 2183, expected_value: Employee, label: employment type} + - {column: J, row: 2183, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2185 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2185, expected_value: S92000003, label: geography} + - {column: D, row: 2185, expected_value: All persons, label: sex} + - {column: E, row: 2185, expected_value: Employee, label: employment type} + - {column: J, row: 2185, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2187 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2187, expected_value: S92000003, label: geography} + - {column: D, row: 2187, expected_value: All persons, label: sex} + - {column: E, row: 2187, expected_value: Employee, label: employment type} + - {column: J, row: 2187, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2189 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2189, expected_value: S92000003, label: geography} + - {column: D, row: 2189, expected_value: All persons, label: sex} + - {column: E, row: 2189, expected_value: Employee, label: employment type} + - {column: J, row: 2189, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2191 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2191, expected_value: S92000003, label: geography} + - {column: D, row: 2191, expected_value: All persons, label: sex} + - {column: E, row: 2191, expected_value: Employee, label: employment type} + - {column: J, row: 2191, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2193 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2193, expected_value: S92000003, label: geography} + - {column: D, row: 2193, expected_value: All persons, label: sex} + - {column: E, row: 2193, expected_value: Employee, label: employment type} + - {column: J, row: 2193, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2195 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2195, expected_value: S92000003, label: geography} + - {column: D, row: 2195, expected_value: All persons, label: sex} + - {column: E, row: 2195, expected_value: Employee, label: employment type} + - {column: J, row: 2195, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2197 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2197, expected_value: S92000003, label: geography} + - {column: D, row: 2197, expected_value: All persons, label: sex} + - {column: E, row: 2197, expected_value: Employee, label: employment type} + - {column: J, row: 2197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2199 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2199, expected_value: S92000003, label: geography} + - {column: D, row: 2199, expected_value: All persons, label: sex} + - {column: E, row: 2199, expected_value: Employee, label: employment type} + - {column: J, row: 2199, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2201 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2201, expected_value: S92000003, label: geography} + - {column: D, row: 2201, expected_value: All persons, label: sex} + - {column: E, row: 2201, expected_value: Employee, label: employment type} + - {column: J, row: 2201, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2203 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2203, expected_value: S92000003, label: geography} + - {column: D, row: 2203, expected_value: All persons, label: sex} + - {column: E, row: 2203, expected_value: Employee, label: employment type} + - {column: J, row: 2203, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2205 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2205, expected_value: S92000003, label: geography} + - {column: D, row: 2205, expected_value: All persons, label: sex} + - {column: E, row: 2205, expected_value: Employee, label: employment type} + - {column: J, row: 2205, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2207 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2207, expected_value: S92000003, label: geography} + - {column: D, row: 2207, expected_value: All persons, label: sex} + - {column: E, row: 2207, expected_value: Employee, label: employment type} + - {column: J, row: 2207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2209 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2209, expected_value: S92000003, label: geography} + - {column: D, row: 2209, expected_value: All persons, label: sex} + - {column: E, row: 2209, expected_value: Employee, label: employment type} + - {column: J, row: 2209, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2211 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2211, expected_value: S92000003, label: geography} + - {column: D, row: 2211, expected_value: All persons, label: sex} + - {column: E, row: 2211, expected_value: Employee, label: employment type} + - {column: J, row: 2211, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2213 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2213, expected_value: S92000003, label: geography} + - {column: D, row: 2213, expected_value: All persons, label: sex} + - {column: E, row: 2213, expected_value: Employee, label: employment type} + - {column: J, row: 2213, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2217 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2217, expected_value: S92000003, label: geography} + - {column: D, row: 2217, expected_value: All persons, label: sex} + - {column: E, row: 2217, expected_value: Employee, label: employment type} + - {column: J, row: 2217, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2219 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2219, expected_value: S92000003, label: geography} + - {column: D, row: 2219, expected_value: All persons, label: sex} + - {column: E, row: 2219, expected_value: Employee, label: employment type} + - {column: J, row: 2219, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2221 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2221, expected_value: S92000003, label: geography} + - {column: D, row: 2221, expected_value: All persons, label: sex} + - {column: E, row: 2221, expected_value: Employee, label: employment type} + - {column: J, row: 2221, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2223 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2223, expected_value: S92000003, label: geography} + - {column: D, row: 2223, expected_value: All persons, label: sex} + - {column: E, row: 2223, expected_value: Employee, label: employment type} + - {column: J, row: 2223, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2225 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2225, expected_value: S92000003, label: geography} + - {column: D, row: 2225, expected_value: All persons, label: sex} + - {column: E, row: 2225, expected_value: Employee, label: employment type} + - {column: J, row: 2225, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2227 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2227, expected_value: S92000003, label: geography} + - {column: D, row: 2227, expected_value: All persons, label: sex} + - {column: E, row: 2227, expected_value: Employee, label: employment type} + - {column: J, row: 2227, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2229 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2229, expected_value: S92000003, label: geography} + - {column: D, row: 2229, expected_value: All persons, label: sex} + - {column: E, row: 2229, expected_value: Employee, label: employment type} + - {column: J, row: 2229, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2231 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2231, expected_value: S92000003, label: geography} + - {column: D, row: 2231, expected_value: All persons, label: sex} + - {column: E, row: 2231, expected_value: Employee, label: employment type} + - {column: J, row: 2231, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2233 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2233, expected_value: S92000003, label: geography} + - {column: D, row: 2233, expected_value: All persons, label: sex} + - {column: E, row: 2233, expected_value: Employee, label: employment type} + - {column: J, row: 2233, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2378 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2378, expected_value: S92000003, label: geography} + - {column: D, row: 2378, expected_value: All persons, label: sex} + - {column: E, row: 2378, expected_value: Self-employed, label: employment type} + - {column: J, row: 2378, expected_value: Value, label: measure} + - {column: L, row: 2379, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2380 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2380, expected_value: S92000003, label: geography} + - {column: D, row: 2380, expected_value: All persons, label: sex} + - {column: E, row: 2380, expected_value: Self-employed, label: employment type} + - {column: J, row: 2380, expected_value: Value, label: measure} + - {column: L, row: 2381, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2382 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2382, expected_value: S92000003, label: geography} + - {column: D, row: 2382, expected_value: All persons, label: sex} + - {column: E, row: 2382, expected_value: Self-employed, label: employment type} + - {column: J, row: 2382, expected_value: Value, label: measure} + - {column: L, row: 2383, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2384 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2384, expected_value: S92000003, label: geography} + - {column: D, row: 2384, expected_value: All persons, label: sex} + - {column: E, row: 2384, expected_value: Self-employed, label: employment type} + - {column: J, row: 2384, expected_value: Value, label: measure} + - {column: L, row: 2385, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2386 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2386, expected_value: S92000003, label: geography} + - {column: D, row: 2386, expected_value: All persons, label: sex} + - {column: E, row: 2386, expected_value: Self-employed, label: employment type} + - {column: J, row: 2386, expected_value: Value, label: measure} + - {column: L, row: 2387, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2388 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2388, expected_value: S92000003, label: geography} + - {column: D, row: 2388, expected_value: All persons, label: sex} + - {column: E, row: 2388, expected_value: Self-employed, label: employment type} + - {column: J, row: 2388, expected_value: Value, label: measure} + - {column: L, row: 2389, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2390 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2390, expected_value: S92000003, label: geography} + - {column: D, row: 2390, expected_value: All persons, label: sex} + - {column: E, row: 2390, expected_value: Self-employed, label: employment type} + - {column: J, row: 2390, expected_value: Value, label: measure} + - {column: L, row: 2391, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2392 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2392, expected_value: S92000003, label: geography} + - {column: D, row: 2392, expected_value: All persons, label: sex} + - {column: E, row: 2392, expected_value: Self-employed, label: employment type} + - {column: J, row: 2392, expected_value: Value, label: measure} + - {column: L, row: 2393, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2394 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2394, expected_value: S92000003, label: geography} + - {column: D, row: 2394, expected_value: All persons, label: sex} + - {column: E, row: 2394, expected_value: Self-employed, label: employment type} + - {column: J, row: 2394, expected_value: Value, label: measure} + - {column: L, row: 2395, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2396 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2396, expected_value: S92000003, label: geography} + - {column: D, row: 2396, expected_value: All persons, label: sex} + - {column: E, row: 2396, expected_value: Self-employed, label: employment type} + - {column: J, row: 2396, expected_value: Value, label: measure} + - {column: L, row: 2397, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2398 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2398, expected_value: S92000003, label: geography} + - {column: D, row: 2398, expected_value: All persons, label: sex} + - {column: E, row: 2398, expected_value: Self-employed, label: employment type} + - {column: J, row: 2398, expected_value: Value, label: measure} + - {column: L, row: 2399, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2400 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2400, expected_value: S92000003, label: geography} + - {column: D, row: 2400, expected_value: All persons, label: sex} + - {column: E, row: 2400, expected_value: Self-employed, label: employment type} + - {column: J, row: 2400, expected_value: Value, label: measure} + - {column: L, row: 2401, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2402 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2402, expected_value: S92000003, label: geography} + - {column: D, row: 2402, expected_value: All persons, label: sex} + - {column: E, row: 2402, expected_value: Self-employed, label: employment type} + - {column: J, row: 2402, expected_value: Value, label: measure} + - {column: L, row: 2403, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2404 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2404, expected_value: S92000003, label: geography} + - {column: D, row: 2404, expected_value: All persons, label: sex} + - {column: E, row: 2404, expected_value: Self-employed, label: employment type} + - {column: J, row: 2404, expected_value: Value, label: measure} + - {column: L, row: 2405, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2406 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2406, expected_value: S92000003, label: geography} + - {column: D, row: 2406, expected_value: All persons, label: sex} + - {column: E, row: 2406, expected_value: Self-employed, label: employment type} + - {column: J, row: 2406, expected_value: Value, label: measure} + - {column: L, row: 2407, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2408 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2408, expected_value: S92000003, label: geography} + - {column: D, row: 2408, expected_value: All persons, label: sex} + - {column: E, row: 2408, expected_value: Self-employed, label: employment type} + - {column: J, row: 2408, expected_value: Value, label: measure} + - {column: L, row: 2409, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2410 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2410, expected_value: S92000003, label: geography} + - {column: D, row: 2410, expected_value: All persons, label: sex} + - {column: E, row: 2410, expected_value: Self-employed, label: employment type} + - {column: J, row: 2410, expected_value: Value, label: measure} + - {column: L, row: 2411, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2412 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2412, expected_value: S92000003, label: geography} + - {column: D, row: 2412, expected_value: All persons, label: sex} + - {column: E, row: 2412, expected_value: Self-employed, label: employment type} + - {column: J, row: 2412, expected_value: Value, label: measure} + - {column: L, row: 2413, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2414 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2414, expected_value: S92000003, label: geography} + - {column: D, row: 2414, expected_value: All persons, label: sex} + - {column: E, row: 2414, expected_value: Self-employed, label: employment type} + - {column: J, row: 2414, expected_value: Value, label: measure} + - {column: L, row: 2415, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2416 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2416, expected_value: S92000003, label: geography} + - {column: D, row: 2416, expected_value: All persons, label: sex} + - {column: E, row: 2416, expected_value: Self-employed, label: employment type} + - {column: J, row: 2416, expected_value: Value, label: measure} + - {column: L, row: 2417, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2418 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2418, expected_value: S92000003, label: geography} + - {column: D, row: 2418, expected_value: All persons, label: sex} + - {column: E, row: 2418, expected_value: Self-employed, label: employment type} + - {column: J, row: 2418, expected_value: Value, label: measure} + - {column: L, row: 2419, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2420 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2420, expected_value: S92000003, label: geography} + - {column: D, row: 2420, expected_value: All persons, label: sex} + - {column: E, row: 2420, expected_value: Self-employed, label: employment type} + - {column: J, row: 2420, expected_value: Value, label: measure} + - {column: L, row: 2421, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2422 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2422, expected_value: S92000003, label: geography} + - {column: D, row: 2422, expected_value: All persons, label: sex} + - {column: E, row: 2422, expected_value: Self-employed, label: employment type} + - {column: J, row: 2422, expected_value: Value, label: measure} + - {column: L, row: 2423, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2424 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2424, expected_value: S92000003, label: geography} + - {column: D, row: 2424, expected_value: All persons, label: sex} + - {column: E, row: 2424, expected_value: Self-employed, label: employment type} + - {column: J, row: 2424, expected_value: Value, label: measure} + - {column: L, row: 2425, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2426 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2426, expected_value: S92000003, label: geography} + - {column: D, row: 2426, expected_value: All persons, label: sex} + - {column: E, row: 2426, expected_value: Self-employed, label: employment type} + - {column: J, row: 2426, expected_value: Value, label: measure} + - {column: L, row: 2427, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2428 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2428, expected_value: S92000003, label: geography} + - {column: D, row: 2428, expected_value: All persons, label: sex} + - {column: E, row: 2428, expected_value: Self-employed, label: employment type} + - {column: J, row: 2428, expected_value: Value, label: measure} + - {column: L, row: 2429, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2432 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2432, expected_value: S92000003, label: geography} + - {column: D, row: 2432, expected_value: All persons, label: sex} + - {column: E, row: 2432, expected_value: Self-employed, label: employment type} + - {column: J, row: 2432, expected_value: Value, label: measure} + - {column: L, row: 2433, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2434 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2434, expected_value: S92000003, label: geography} + - {column: D, row: 2434, expected_value: All persons, label: sex} + - {column: E, row: 2434, expected_value: Self-employed, label: employment type} + - {column: J, row: 2434, expected_value: Value, label: measure} + - {column: L, row: 2435, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2436 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2436, expected_value: S92000003, label: geography} + - {column: D, row: 2436, expected_value: All persons, label: sex} + - {column: E, row: 2436, expected_value: Self-employed, label: employment type} + - {column: J, row: 2436, expected_value: Value, label: measure} + - {column: L, row: 2437, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2438 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2438, expected_value: S92000003, label: geography} + - {column: D, row: 2438, expected_value: All persons, label: sex} + - {column: E, row: 2438, expected_value: Self-employed, label: employment type} + - {column: J, row: 2438, expected_value: Value, label: measure} + - {column: L, row: 2439, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2440 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2440, expected_value: S92000003, label: geography} + - {column: D, row: 2440, expected_value: All persons, label: sex} + - {column: E, row: 2440, expected_value: Self-employed, label: employment type} + - {column: J, row: 2440, expected_value: Value, label: measure} + - {column: L, row: 2441, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2442 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2442, expected_value: S92000003, label: geography} + - {column: D, row: 2442, expected_value: All persons, label: sex} + - {column: E, row: 2442, expected_value: Self-employed, label: employment type} + - {column: J, row: 2442, expected_value: Value, label: measure} + - {column: L, row: 2443, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2444 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2444, expected_value: S92000003, label: geography} + - {column: D, row: 2444, expected_value: All persons, label: sex} + - {column: E, row: 2444, expected_value: Self-employed, label: employment type} + - {column: J, row: 2444, expected_value: Value, label: measure} + - {column: L, row: 2445, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2446 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2446, expected_value: S92000003, label: geography} + - {column: D, row: 2446, expected_value: All persons, label: sex} + - {column: E, row: 2446, expected_value: Self-employed, label: employment type} + - {column: J, row: 2446, expected_value: Value, label: measure} + - {column: L, row: 2447, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2448 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2448, expected_value: S92000003, label: geography} + - {column: D, row: 2448, expected_value: All persons, label: sex} + - {column: E, row: 2448, expected_value: Self-employed, label: employment type} + - {column: J, row: 2448, expected_value: Value, label: measure} + - {column: L, row: 2449, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2379 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2379, expected_value: S92000003, label: geography} + - {column: D, row: 2379, expected_value: All persons, label: sex} + - {column: E, row: 2379, expected_value: Self-employed, label: employment type} + - {column: J, row: 2379, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2381 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2381, expected_value: S92000003, label: geography} + - {column: D, row: 2381, expected_value: All persons, label: sex} + - {column: E, row: 2381, expected_value: Self-employed, label: employment type} + - {column: J, row: 2381, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2383 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2383, expected_value: S92000003, label: geography} + - {column: D, row: 2383, expected_value: All persons, label: sex} + - {column: E, row: 2383, expected_value: Self-employed, label: employment type} + - {column: J, row: 2383, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2385 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2385, expected_value: S92000003, label: geography} + - {column: D, row: 2385, expected_value: All persons, label: sex} + - {column: E, row: 2385, expected_value: Self-employed, label: employment type} + - {column: J, row: 2385, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2387 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2387, expected_value: S92000003, label: geography} + - {column: D, row: 2387, expected_value: All persons, label: sex} + - {column: E, row: 2387, expected_value: Self-employed, label: employment type} + - {column: J, row: 2387, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2389 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2389, expected_value: S92000003, label: geography} + - {column: D, row: 2389, expected_value: All persons, label: sex} + - {column: E, row: 2389, expected_value: Self-employed, label: employment type} + - {column: J, row: 2389, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2391 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2391, expected_value: S92000003, label: geography} + - {column: D, row: 2391, expected_value: All persons, label: sex} + - {column: E, row: 2391, expected_value: Self-employed, label: employment type} + - {column: J, row: 2391, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2393 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2393, expected_value: S92000003, label: geography} + - {column: D, row: 2393, expected_value: All persons, label: sex} + - {column: E, row: 2393, expected_value: Self-employed, label: employment type} + - {column: J, row: 2393, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2395 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2395, expected_value: S92000003, label: geography} + - {column: D, row: 2395, expected_value: All persons, label: sex} + - {column: E, row: 2395, expected_value: Self-employed, label: employment type} + - {column: J, row: 2395, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2397 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2397, expected_value: S92000003, label: geography} + - {column: D, row: 2397, expected_value: All persons, label: sex} + - {column: E, row: 2397, expected_value: Self-employed, label: employment type} + - {column: J, row: 2397, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2401 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2401, expected_value: S92000003, label: geography} + - {column: D, row: 2401, expected_value: All persons, label: sex} + - {column: E, row: 2401, expected_value: Self-employed, label: employment type} + - {column: J, row: 2401, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2405 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2405, expected_value: S92000003, label: geography} + - {column: D, row: 2405, expected_value: All persons, label: sex} + - {column: E, row: 2405, expected_value: Self-employed, label: employment type} + - {column: J, row: 2405, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2407 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2407, expected_value: S92000003, label: geography} + - {column: D, row: 2407, expected_value: All persons, label: sex} + - {column: E, row: 2407, expected_value: Self-employed, label: employment type} + - {column: J, row: 2407, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2409 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2409, expected_value: S92000003, label: geography} + - {column: D, row: 2409, expected_value: All persons, label: sex} + - {column: E, row: 2409, expected_value: Self-employed, label: employment type} + - {column: J, row: 2409, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2411 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2411, expected_value: S92000003, label: geography} + - {column: D, row: 2411, expected_value: All persons, label: sex} + - {column: E, row: 2411, expected_value: Self-employed, label: employment type} + - {column: J, row: 2411, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2415 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2415, expected_value: S92000003, label: geography} + - {column: D, row: 2415, expected_value: All persons, label: sex} + - {column: E, row: 2415, expected_value: Self-employed, label: employment type} + - {column: J, row: 2415, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2417 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2417, expected_value: S92000003, label: geography} + - {column: D, row: 2417, expected_value: All persons, label: sex} + - {column: E, row: 2417, expected_value: Self-employed, label: employment type} + - {column: J, row: 2417, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2419 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2419, expected_value: S92000003, label: geography} + - {column: D, row: 2419, expected_value: All persons, label: sex} + - {column: E, row: 2419, expected_value: Self-employed, label: employment type} + - {column: J, row: 2419, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2421 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2421, expected_value: S92000003, label: geography} + - {column: D, row: 2421, expected_value: All persons, label: sex} + - {column: E, row: 2421, expected_value: Self-employed, label: employment type} + - {column: J, row: 2421, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2423 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2423, expected_value: S92000003, label: geography} + - {column: D, row: 2423, expected_value: All persons, label: sex} + - {column: E, row: 2423, expected_value: Self-employed, label: employment type} + - {column: J, row: 2423, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2425 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2425, expected_value: S92000003, label: geography} + - {column: D, row: 2425, expected_value: All persons, label: sex} + - {column: E, row: 2425, expected_value: Self-employed, label: employment type} + - {column: J, row: 2425, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2427 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2427, expected_value: S92000003, label: geography} + - {column: D, row: 2427, expected_value: All persons, label: sex} + - {column: E, row: 2427, expected_value: Self-employed, label: employment type} + - {column: J, row: 2427, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2429 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2429, expected_value: S92000003, label: geography} + - {column: D, row: 2429, expected_value: All persons, label: sex} + - {column: E, row: 2429, expected_value: Self-employed, label: employment type} + - {column: J, row: 2429, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2433 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2433, expected_value: S92000003, label: geography} + - {column: D, row: 2433, expected_value: All persons, label: sex} + - {column: E, row: 2433, expected_value: Self-employed, label: employment type} + - {column: J, row: 2433, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2435 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2435, expected_value: S92000003, label: geography} + - {column: D, row: 2435, expected_value: All persons, label: sex} + - {column: E, row: 2435, expected_value: Self-employed, label: employment type} + - {column: J, row: 2435, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2439 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2439, expected_value: S92000003, label: geography} + - {column: D, row: 2439, expected_value: All persons, label: sex} + - {column: E, row: 2439, expected_value: Self-employed, label: employment type} + - {column: J, row: 2439, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2441 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2441, expected_value: S92000003, label: geography} + - {column: D, row: 2441, expected_value: All persons, label: sex} + - {column: E, row: 2441, expected_value: Self-employed, label: employment type} + - {column: J, row: 2441, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2443 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2443, expected_value: S92000003, label: geography} + - {column: D, row: 2443, expected_value: All persons, label: sex} + - {column: E, row: 2443, expected_value: Self-employed, label: employment type} + - {column: J, row: 2443, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2445 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2445, expected_value: S92000003, label: geography} + - {column: D, row: 2445, expected_value: All persons, label: sex} + - {column: E, row: 2445, expected_value: Self-employed, label: employment type} + - {column: J, row: 2445, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2447 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2447, expected_value: S92000003, label: geography} + - {column: D, row: 2447, expected_value: All persons, label: sex} + - {column: E, row: 2447, expected_value: Self-employed, label: employment type} + - {column: J, row: 2447, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2449 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2449, expected_value: S92000003, label: geography} + - {column: D, row: 2449, expected_value: All persons, label: sex} + - {column: E, row: 2449, expected_value: Self-employed, label: employment type} + - {column: J, row: 2449, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2018 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2018, expected_value: S92000003, label: geography} + - {column: D, row: 2018, expected_value: Males, label: sex} + - {column: E, row: 2018, expected_value: Total, label: employment type} + - {column: J, row: 2018, expected_value: Value, label: measure} + - {column: L, row: 2019, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2020 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2020, expected_value: S92000003, label: geography} + - {column: D, row: 2020, expected_value: Males, label: sex} + - {column: E, row: 2020, expected_value: Total, label: employment type} + - {column: J, row: 2020, expected_value: Value, label: measure} + - {column: L, row: 2021, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2022 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2022, expected_value: S92000003, label: geography} + - {column: D, row: 2022, expected_value: Males, label: sex} + - {column: E, row: 2022, expected_value: Total, label: employment type} + - {column: J, row: 2022, expected_value: Value, label: measure} + - {column: L, row: 2023, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2024 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2024, expected_value: S92000003, label: geography} + - {column: D, row: 2024, expected_value: Males, label: sex} + - {column: E, row: 2024, expected_value: Total, label: employment type} + - {column: J, row: 2024, expected_value: Value, label: measure} + - {column: L, row: 2025, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2026 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2026, expected_value: S92000003, label: geography} + - {column: D, row: 2026, expected_value: Males, label: sex} + - {column: E, row: 2026, expected_value: Total, label: employment type} + - {column: J, row: 2026, expected_value: Value, label: measure} + - {column: L, row: 2027, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2028 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2028, expected_value: S92000003, label: geography} + - {column: D, row: 2028, expected_value: Males, label: sex} + - {column: E, row: 2028, expected_value: Total, label: employment type} + - {column: J, row: 2028, expected_value: Value, label: measure} + - {column: L, row: 2029, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2030 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2030, expected_value: S92000003, label: geography} + - {column: D, row: 2030, expected_value: Males, label: sex} + - {column: E, row: 2030, expected_value: Total, label: employment type} + - {column: J, row: 2030, expected_value: Value, label: measure} + - {column: L, row: 2031, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2032 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2032, expected_value: S92000003, label: geography} + - {column: D, row: 2032, expected_value: Males, label: sex} + - {column: E, row: 2032, expected_value: Total, label: employment type} + - {column: J, row: 2032, expected_value: Value, label: measure} + - {column: L, row: 2033, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2034 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2034, expected_value: S92000003, label: geography} + - {column: D, row: 2034, expected_value: Males, label: sex} + - {column: E, row: 2034, expected_value: Total, label: employment type} + - {column: J, row: 2034, expected_value: Value, label: measure} + - {column: L, row: 2035, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2036 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2036, expected_value: S92000003, label: geography} + - {column: D, row: 2036, expected_value: Males, label: sex} + - {column: E, row: 2036, expected_value: Total, label: employment type} + - {column: J, row: 2036, expected_value: Value, label: measure} + - {column: L, row: 2037, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2038 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2038, expected_value: S92000003, label: geography} + - {column: D, row: 2038, expected_value: Males, label: sex} + - {column: E, row: 2038, expected_value: Total, label: employment type} + - {column: J, row: 2038, expected_value: Value, label: measure} + - {column: L, row: 2039, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2040 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2040, expected_value: S92000003, label: geography} + - {column: D, row: 2040, expected_value: Males, label: sex} + - {column: E, row: 2040, expected_value: Total, label: employment type} + - {column: J, row: 2040, expected_value: Value, label: measure} + - {column: L, row: 2041, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2042 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2042, expected_value: S92000003, label: geography} + - {column: D, row: 2042, expected_value: Males, label: sex} + - {column: E, row: 2042, expected_value: Total, label: employment type} + - {column: J, row: 2042, expected_value: Value, label: measure} + - {column: L, row: 2043, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2044 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2044, expected_value: S92000003, label: geography} + - {column: D, row: 2044, expected_value: Males, label: sex} + - {column: E, row: 2044, expected_value: Total, label: employment type} + - {column: J, row: 2044, expected_value: Value, label: measure} + - {column: L, row: 2045, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2046 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2046, expected_value: S92000003, label: geography} + - {column: D, row: 2046, expected_value: Males, label: sex} + - {column: E, row: 2046, expected_value: Total, label: employment type} + - {column: J, row: 2046, expected_value: Value, label: measure} + - {column: L, row: 2047, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2048 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2048, expected_value: S92000003, label: geography} + - {column: D, row: 2048, expected_value: Males, label: sex} + - {column: E, row: 2048, expected_value: Total, label: employment type} + - {column: J, row: 2048, expected_value: Value, label: measure} + - {column: L, row: 2049, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2050 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2050, expected_value: S92000003, label: geography} + - {column: D, row: 2050, expected_value: Males, label: sex} + - {column: E, row: 2050, expected_value: Total, label: employment type} + - {column: J, row: 2050, expected_value: Value, label: measure} + - {column: L, row: 2051, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2052 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2052, expected_value: S92000003, label: geography} + - {column: D, row: 2052, expected_value: Males, label: sex} + - {column: E, row: 2052, expected_value: Total, label: employment type} + - {column: J, row: 2052, expected_value: Value, label: measure} + - {column: L, row: 2053, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2054 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2054, expected_value: S92000003, label: geography} + - {column: D, row: 2054, expected_value: Males, label: sex} + - {column: E, row: 2054, expected_value: Total, label: employment type} + - {column: J, row: 2054, expected_value: Value, label: measure} + - {column: L, row: 2055, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2056 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2056, expected_value: S92000003, label: geography} + - {column: D, row: 2056, expected_value: Males, label: sex} + - {column: E, row: 2056, expected_value: Total, label: employment type} + - {column: J, row: 2056, expected_value: Value, label: measure} + - {column: L, row: 2057, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2058 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2058, expected_value: S92000003, label: geography} + - {column: D, row: 2058, expected_value: Males, label: sex} + - {column: E, row: 2058, expected_value: Total, label: employment type} + - {column: J, row: 2058, expected_value: Value, label: measure} + - {column: L, row: 2059, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2060 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2060, expected_value: S92000003, label: geography} + - {column: D, row: 2060, expected_value: Males, label: sex} + - {column: E, row: 2060, expected_value: Total, label: employment type} + - {column: J, row: 2060, expected_value: Value, label: measure} + - {column: L, row: 2061, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2062 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2062, expected_value: S92000003, label: geography} + - {column: D, row: 2062, expected_value: Males, label: sex} + - {column: E, row: 2062, expected_value: Total, label: employment type} + - {column: J, row: 2062, expected_value: Value, label: measure} + - {column: L, row: 2063, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2064 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2064, expected_value: S92000003, label: geography} + - {column: D, row: 2064, expected_value: Males, label: sex} + - {column: E, row: 2064, expected_value: Total, label: employment type} + - {column: J, row: 2064, expected_value: Value, label: measure} + - {column: L, row: 2065, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2066 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2066, expected_value: S92000003, label: geography} + - {column: D, row: 2066, expected_value: Males, label: sex} + - {column: E, row: 2066, expected_value: Total, label: employment type} + - {column: J, row: 2066, expected_value: Value, label: measure} + - {column: L, row: 2067, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2068 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2068, expected_value: S92000003, label: geography} + - {column: D, row: 2068, expected_value: Males, label: sex} + - {column: E, row: 2068, expected_value: Total, label: employment type} + - {column: J, row: 2068, expected_value: Value, label: measure} + - {column: L, row: 2069, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2072 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2072, expected_value: S92000003, label: geography} + - {column: D, row: 2072, expected_value: Males, label: sex} + - {column: E, row: 2072, expected_value: Total, label: employment type} + - {column: J, row: 2072, expected_value: Value, label: measure} + - {column: L, row: 2073, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2074 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2074, expected_value: S92000003, label: geography} + - {column: D, row: 2074, expected_value: Males, label: sex} + - {column: E, row: 2074, expected_value: Total, label: employment type} + - {column: J, row: 2074, expected_value: Value, label: measure} + - {column: L, row: 2075, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2076 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2076, expected_value: S92000003, label: geography} + - {column: D, row: 2076, expected_value: Males, label: sex} + - {column: E, row: 2076, expected_value: Total, label: employment type} + - {column: J, row: 2076, expected_value: Value, label: measure} + - {column: L, row: 2077, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2078 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2078, expected_value: S92000003, label: geography} + - {column: D, row: 2078, expected_value: Males, label: sex} + - {column: E, row: 2078, expected_value: Total, label: employment type} + - {column: J, row: 2078, expected_value: Value, label: measure} + - {column: L, row: 2079, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2080 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2080, expected_value: S92000003, label: geography} + - {column: D, row: 2080, expected_value: Males, label: sex} + - {column: E, row: 2080, expected_value: Total, label: employment type} + - {column: J, row: 2080, expected_value: Value, label: measure} + - {column: L, row: 2081, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2082 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2082, expected_value: S92000003, label: geography} + - {column: D, row: 2082, expected_value: Males, label: sex} + - {column: E, row: 2082, expected_value: Total, label: employment type} + - {column: J, row: 2082, expected_value: Value, label: measure} + - {column: L, row: 2083, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2084 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2084, expected_value: S92000003, label: geography} + - {column: D, row: 2084, expected_value: Males, label: sex} + - {column: E, row: 2084, expected_value: Total, label: employment type} + - {column: J, row: 2084, expected_value: Value, label: measure} + - {column: L, row: 2085, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2086 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2086, expected_value: S92000003, label: geography} + - {column: D, row: 2086, expected_value: Males, label: sex} + - {column: E, row: 2086, expected_value: Total, label: employment type} + - {column: J, row: 2086, expected_value: Value, label: measure} + - {column: L, row: 2087, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2088 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2088, expected_value: S92000003, label: geography} + - {column: D, row: 2088, expected_value: Males, label: sex} + - {column: E, row: 2088, expected_value: Total, label: employment type} + - {column: J, row: 2088, expected_value: Value, label: measure} + - {column: L, row: 2089, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2019 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2019, expected_value: S92000003, label: geography} + - {column: D, row: 2019, expected_value: Males, label: sex} + - {column: E, row: 2019, expected_value: Total, label: employment type} + - {column: J, row: 2019, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2021 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2021, expected_value: S92000003, label: geography} + - {column: D, row: 2021, expected_value: Males, label: sex} + - {column: E, row: 2021, expected_value: Total, label: employment type} + - {column: J, row: 2021, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2023 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2023, expected_value: S92000003, label: geography} + - {column: D, row: 2023, expected_value: Males, label: sex} + - {column: E, row: 2023, expected_value: Total, label: employment type} + - {column: J, row: 2023, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2025 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2025, expected_value: S92000003, label: geography} + - {column: D, row: 2025, expected_value: Males, label: sex} + - {column: E, row: 2025, expected_value: Total, label: employment type} + - {column: J, row: 2025, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2027 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2027, expected_value: S92000003, label: geography} + - {column: D, row: 2027, expected_value: Males, label: sex} + - {column: E, row: 2027, expected_value: Total, label: employment type} + - {column: J, row: 2027, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2029 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2029, expected_value: S92000003, label: geography} + - {column: D, row: 2029, expected_value: Males, label: sex} + - {column: E, row: 2029, expected_value: Total, label: employment type} + - {column: J, row: 2029, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2031 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2031, expected_value: S92000003, label: geography} + - {column: D, row: 2031, expected_value: Males, label: sex} + - {column: E, row: 2031, expected_value: Total, label: employment type} + - {column: J, row: 2031, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2033 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2033, expected_value: S92000003, label: geography} + - {column: D, row: 2033, expected_value: Males, label: sex} + - {column: E, row: 2033, expected_value: Total, label: employment type} + - {column: J, row: 2033, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2035 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2035, expected_value: S92000003, label: geography} + - {column: D, row: 2035, expected_value: Males, label: sex} + - {column: E, row: 2035, expected_value: Total, label: employment type} + - {column: J, row: 2035, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2037 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2037, expected_value: S92000003, label: geography} + - {column: D, row: 2037, expected_value: Males, label: sex} + - {column: E, row: 2037, expected_value: Total, label: employment type} + - {column: J, row: 2037, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2039 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2039, expected_value: S92000003, label: geography} + - {column: D, row: 2039, expected_value: Males, label: sex} + - {column: E, row: 2039, expected_value: Total, label: employment type} + - {column: J, row: 2039, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2041 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2041, expected_value: S92000003, label: geography} + - {column: D, row: 2041, expected_value: Males, label: sex} + - {column: E, row: 2041, expected_value: Total, label: employment type} + - {column: J, row: 2041, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2043 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2043, expected_value: S92000003, label: geography} + - {column: D, row: 2043, expected_value: Males, label: sex} + - {column: E, row: 2043, expected_value: Total, label: employment type} + - {column: J, row: 2043, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2045 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2045, expected_value: S92000003, label: geography} + - {column: D, row: 2045, expected_value: Males, label: sex} + - {column: E, row: 2045, expected_value: Total, label: employment type} + - {column: J, row: 2045, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2047 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2047, expected_value: S92000003, label: geography} + - {column: D, row: 2047, expected_value: Males, label: sex} + - {column: E, row: 2047, expected_value: Total, label: employment type} + - {column: J, row: 2047, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2049 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2049, expected_value: S92000003, label: geography} + - {column: D, row: 2049, expected_value: Males, label: sex} + - {column: E, row: 2049, expected_value: Total, label: employment type} + - {column: J, row: 2049, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2051 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2051, expected_value: S92000003, label: geography} + - {column: D, row: 2051, expected_value: Males, label: sex} + - {column: E, row: 2051, expected_value: Total, label: employment type} + - {column: J, row: 2051, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2055 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2055, expected_value: S92000003, label: geography} + - {column: D, row: 2055, expected_value: Males, label: sex} + - {column: E, row: 2055, expected_value: Total, label: employment type} + - {column: J, row: 2055, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2057 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2057, expected_value: S92000003, label: geography} + - {column: D, row: 2057, expected_value: Males, label: sex} + - {column: E, row: 2057, expected_value: Total, label: employment type} + - {column: J, row: 2057, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2059 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2059, expected_value: S92000003, label: geography} + - {column: D, row: 2059, expected_value: Males, label: sex} + - {column: E, row: 2059, expected_value: Total, label: employment type} + - {column: J, row: 2059, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2061 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2061, expected_value: S92000003, label: geography} + - {column: D, row: 2061, expected_value: Males, label: sex} + - {column: E, row: 2061, expected_value: Total, label: employment type} + - {column: J, row: 2061, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2063 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2063, expected_value: S92000003, label: geography} + - {column: D, row: 2063, expected_value: Males, label: sex} + - {column: E, row: 2063, expected_value: Total, label: employment type} + - {column: J, row: 2063, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2065 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2065, expected_value: S92000003, label: geography} + - {column: D, row: 2065, expected_value: Males, label: sex} + - {column: E, row: 2065, expected_value: Total, label: employment type} + - {column: J, row: 2065, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2067 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2067, expected_value: S92000003, label: geography} + - {column: D, row: 2067, expected_value: Males, label: sex} + - {column: E, row: 2067, expected_value: Total, label: employment type} + - {column: J, row: 2067, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2069 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2069, expected_value: S92000003, label: geography} + - {column: D, row: 2069, expected_value: Males, label: sex} + - {column: E, row: 2069, expected_value: Total, label: employment type} + - {column: J, row: 2069, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2073 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2073, expected_value: S92000003, label: geography} + - {column: D, row: 2073, expected_value: Males, label: sex} + - {column: E, row: 2073, expected_value: Total, label: employment type} + - {column: J, row: 2073, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2075 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2075, expected_value: S92000003, label: geography} + - {column: D, row: 2075, expected_value: Males, label: sex} + - {column: E, row: 2075, expected_value: Total, label: employment type} + - {column: J, row: 2075, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2077 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2077, expected_value: S92000003, label: geography} + - {column: D, row: 2077, expected_value: Males, label: sex} + - {column: E, row: 2077, expected_value: Total, label: employment type} + - {column: J, row: 2077, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2079 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2079, expected_value: S92000003, label: geography} + - {column: D, row: 2079, expected_value: Males, label: sex} + - {column: E, row: 2079, expected_value: Total, label: employment type} + - {column: J, row: 2079, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2081 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2081, expected_value: S92000003, label: geography} + - {column: D, row: 2081, expected_value: Males, label: sex} + - {column: E, row: 2081, expected_value: Total, label: employment type} + - {column: J, row: 2081, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2083 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2083, expected_value: S92000003, label: geography} + - {column: D, row: 2083, expected_value: Males, label: sex} + - {column: E, row: 2083, expected_value: Total, label: employment type} + - {column: J, row: 2083, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2085 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2085, expected_value: S92000003, label: geography} + - {column: D, row: 2085, expected_value: Males, label: sex} + - {column: E, row: 2085, expected_value: Total, label: employment type} + - {column: J, row: 2085, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2087 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2087, expected_value: S92000003, label: geography} + - {column: D, row: 2087, expected_value: Males, label: sex} + - {column: E, row: 2087, expected_value: Total, label: employment type} + - {column: J, row: 2087, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2089 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2089, expected_value: S92000003, label: geography} + - {column: D, row: 2089, expected_value: Males, label: sex} + - {column: E, row: 2089, expected_value: Total, label: employment type} + - {column: J, row: 2089, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2234 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2234, expected_value: S92000003, label: geography} + - {column: D, row: 2234, expected_value: Males, label: sex} + - {column: E, row: 2234, expected_value: Employee, label: employment type} + - {column: J, row: 2234, expected_value: Value, label: measure} + - {column: L, row: 2235, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2236 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2236, expected_value: S92000003, label: geography} + - {column: D, row: 2236, expected_value: Males, label: sex} + - {column: E, row: 2236, expected_value: Employee, label: employment type} + - {column: J, row: 2236, expected_value: Value, label: measure} + - {column: L, row: 2237, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2238 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2238, expected_value: S92000003, label: geography} + - {column: D, row: 2238, expected_value: Males, label: sex} + - {column: E, row: 2238, expected_value: Employee, label: employment type} + - {column: J, row: 2238, expected_value: Value, label: measure} + - {column: L, row: 2239, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2240 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2240, expected_value: S92000003, label: geography} + - {column: D, row: 2240, expected_value: Males, label: sex} + - {column: E, row: 2240, expected_value: Employee, label: employment type} + - {column: J, row: 2240, expected_value: Value, label: measure} + - {column: L, row: 2241, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2242 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2242, expected_value: S92000003, label: geography} + - {column: D, row: 2242, expected_value: Males, label: sex} + - {column: E, row: 2242, expected_value: Employee, label: employment type} + - {column: J, row: 2242, expected_value: Value, label: measure} + - {column: L, row: 2243, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2244 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2244, expected_value: S92000003, label: geography} + - {column: D, row: 2244, expected_value: Males, label: sex} + - {column: E, row: 2244, expected_value: Employee, label: employment type} + - {column: J, row: 2244, expected_value: Value, label: measure} + - {column: L, row: 2245, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2246 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2246, expected_value: S92000003, label: geography} + - {column: D, row: 2246, expected_value: Males, label: sex} + - {column: E, row: 2246, expected_value: Employee, label: employment type} + - {column: J, row: 2246, expected_value: Value, label: measure} + - {column: L, row: 2247, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2248 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2248, expected_value: S92000003, label: geography} + - {column: D, row: 2248, expected_value: Males, label: sex} + - {column: E, row: 2248, expected_value: Employee, label: employment type} + - {column: J, row: 2248, expected_value: Value, label: measure} + - {column: L, row: 2249, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2250 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2250, expected_value: S92000003, label: geography} + - {column: D, row: 2250, expected_value: Males, label: sex} + - {column: E, row: 2250, expected_value: Employee, label: employment type} + - {column: J, row: 2250, expected_value: Value, label: measure} + - {column: L, row: 2251, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2252 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2252, expected_value: S92000003, label: geography} + - {column: D, row: 2252, expected_value: Males, label: sex} + - {column: E, row: 2252, expected_value: Employee, label: employment type} + - {column: J, row: 2252, expected_value: Value, label: measure} + - {column: L, row: 2253, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2254 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2254, expected_value: S92000003, label: geography} + - {column: D, row: 2254, expected_value: Males, label: sex} + - {column: E, row: 2254, expected_value: Employee, label: employment type} + - {column: J, row: 2254, expected_value: Value, label: measure} + - {column: L, row: 2255, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2256 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2256, expected_value: S92000003, label: geography} + - {column: D, row: 2256, expected_value: Males, label: sex} + - {column: E, row: 2256, expected_value: Employee, label: employment type} + - {column: J, row: 2256, expected_value: Value, label: measure} + - {column: L, row: 2257, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2258 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2258, expected_value: S92000003, label: geography} + - {column: D, row: 2258, expected_value: Males, label: sex} + - {column: E, row: 2258, expected_value: Employee, label: employment type} + - {column: J, row: 2258, expected_value: Value, label: measure} + - {column: L, row: 2259, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2260 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2260, expected_value: S92000003, label: geography} + - {column: D, row: 2260, expected_value: Males, label: sex} + - {column: E, row: 2260, expected_value: Employee, label: employment type} + - {column: J, row: 2260, expected_value: Value, label: measure} + - {column: L, row: 2261, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2262 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2262, expected_value: S92000003, label: geography} + - {column: D, row: 2262, expected_value: Males, label: sex} + - {column: E, row: 2262, expected_value: Employee, label: employment type} + - {column: J, row: 2262, expected_value: Value, label: measure} + - {column: L, row: 2263, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2264 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2264, expected_value: S92000003, label: geography} + - {column: D, row: 2264, expected_value: Males, label: sex} + - {column: E, row: 2264, expected_value: Employee, label: employment type} + - {column: J, row: 2264, expected_value: Value, label: measure} + - {column: L, row: 2265, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2266 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2266, expected_value: S92000003, label: geography} + - {column: D, row: 2266, expected_value: Males, label: sex} + - {column: E, row: 2266, expected_value: Employee, label: employment type} + - {column: J, row: 2266, expected_value: Value, label: measure} + - {column: L, row: 2267, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2268 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2268, expected_value: S92000003, label: geography} + - {column: D, row: 2268, expected_value: Males, label: sex} + - {column: E, row: 2268, expected_value: Employee, label: employment type} + - {column: J, row: 2268, expected_value: Value, label: measure} + - {column: L, row: 2269, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2270 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2270, expected_value: S92000003, label: geography} + - {column: D, row: 2270, expected_value: Males, label: sex} + - {column: E, row: 2270, expected_value: Employee, label: employment type} + - {column: J, row: 2270, expected_value: Value, label: measure} + - {column: L, row: 2271, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2272 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2272, expected_value: S92000003, label: geography} + - {column: D, row: 2272, expected_value: Males, label: sex} + - {column: E, row: 2272, expected_value: Employee, label: employment type} + - {column: J, row: 2272, expected_value: Value, label: measure} + - {column: L, row: 2273, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2274 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2274, expected_value: S92000003, label: geography} + - {column: D, row: 2274, expected_value: Males, label: sex} + - {column: E, row: 2274, expected_value: Employee, label: employment type} + - {column: J, row: 2274, expected_value: Value, label: measure} + - {column: L, row: 2275, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2276 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2276, expected_value: S92000003, label: geography} + - {column: D, row: 2276, expected_value: Males, label: sex} + - {column: E, row: 2276, expected_value: Employee, label: employment type} + - {column: J, row: 2276, expected_value: Value, label: measure} + - {column: L, row: 2277, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2278 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2278, expected_value: S92000003, label: geography} + - {column: D, row: 2278, expected_value: Males, label: sex} + - {column: E, row: 2278, expected_value: Employee, label: employment type} + - {column: J, row: 2278, expected_value: Value, label: measure} + - {column: L, row: 2279, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2280 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2280, expected_value: S92000003, label: geography} + - {column: D, row: 2280, expected_value: Males, label: sex} + - {column: E, row: 2280, expected_value: Employee, label: employment type} + - {column: J, row: 2280, expected_value: Value, label: measure} + - {column: L, row: 2281, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2282 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2282, expected_value: S92000003, label: geography} + - {column: D, row: 2282, expected_value: Males, label: sex} + - {column: E, row: 2282, expected_value: Employee, label: employment type} + - {column: J, row: 2282, expected_value: Value, label: measure} + - {column: L, row: 2283, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2284 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2284, expected_value: S92000003, label: geography} + - {column: D, row: 2284, expected_value: Males, label: sex} + - {column: E, row: 2284, expected_value: Employee, label: employment type} + - {column: J, row: 2284, expected_value: Value, label: measure} + - {column: L, row: 2285, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2288 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2288, expected_value: S92000003, label: geography} + - {column: D, row: 2288, expected_value: Males, label: sex} + - {column: E, row: 2288, expected_value: Employee, label: employment type} + - {column: J, row: 2288, expected_value: Value, label: measure} + - {column: L, row: 2289, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2290 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2290, expected_value: S92000003, label: geography} + - {column: D, row: 2290, expected_value: Males, label: sex} + - {column: E, row: 2290, expected_value: Employee, label: employment type} + - {column: J, row: 2290, expected_value: Value, label: measure} + - {column: L, row: 2291, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2292 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2292, expected_value: S92000003, label: geography} + - {column: D, row: 2292, expected_value: Males, label: sex} + - {column: E, row: 2292, expected_value: Employee, label: employment type} + - {column: J, row: 2292, expected_value: Value, label: measure} + - {column: L, row: 2293, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2294 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2294, expected_value: S92000003, label: geography} + - {column: D, row: 2294, expected_value: Males, label: sex} + - {column: E, row: 2294, expected_value: Employee, label: employment type} + - {column: J, row: 2294, expected_value: Value, label: measure} + - {column: L, row: 2295, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2296 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2296, expected_value: S92000003, label: geography} + - {column: D, row: 2296, expected_value: Males, label: sex} + - {column: E, row: 2296, expected_value: Employee, label: employment type} + - {column: J, row: 2296, expected_value: Value, label: measure} + - {column: L, row: 2297, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2298 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2298, expected_value: S92000003, label: geography} + - {column: D, row: 2298, expected_value: Males, label: sex} + - {column: E, row: 2298, expected_value: Employee, label: employment type} + - {column: J, row: 2298, expected_value: Value, label: measure} + - {column: L, row: 2299, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2300 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2300, expected_value: S92000003, label: geography} + - {column: D, row: 2300, expected_value: Males, label: sex} + - {column: E, row: 2300, expected_value: Employee, label: employment type} + - {column: J, row: 2300, expected_value: Value, label: measure} + - {column: L, row: 2301, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2302 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2302, expected_value: S92000003, label: geography} + - {column: D, row: 2302, expected_value: Males, label: sex} + - {column: E, row: 2302, expected_value: Employee, label: employment type} + - {column: J, row: 2302, expected_value: Value, label: measure} + - {column: L, row: 2303, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2304 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2304, expected_value: S92000003, label: geography} + - {column: D, row: 2304, expected_value: Males, label: sex} + - {column: E, row: 2304, expected_value: Employee, label: employment type} + - {column: J, row: 2304, expected_value: Value, label: measure} + - {column: L, row: 2305, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2235 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2235, expected_value: S92000003, label: geography} + - {column: D, row: 2235, expected_value: Males, label: sex} + - {column: E, row: 2235, expected_value: Employee, label: employment type} + - {column: J, row: 2235, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2237 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2237, expected_value: S92000003, label: geography} + - {column: D, row: 2237, expected_value: Males, label: sex} + - {column: E, row: 2237, expected_value: Employee, label: employment type} + - {column: J, row: 2237, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2239 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2239, expected_value: S92000003, label: geography} + - {column: D, row: 2239, expected_value: Males, label: sex} + - {column: E, row: 2239, expected_value: Employee, label: employment type} + - {column: J, row: 2239, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2241 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2241, expected_value: S92000003, label: geography} + - {column: D, row: 2241, expected_value: Males, label: sex} + - {column: E, row: 2241, expected_value: Employee, label: employment type} + - {column: J, row: 2241, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2243 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2243, expected_value: S92000003, label: geography} + - {column: D, row: 2243, expected_value: Males, label: sex} + - {column: E, row: 2243, expected_value: Employee, label: employment type} + - {column: J, row: 2243, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2245 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2245, expected_value: S92000003, label: geography} + - {column: D, row: 2245, expected_value: Males, label: sex} + - {column: E, row: 2245, expected_value: Employee, label: employment type} + - {column: J, row: 2245, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2247 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2247, expected_value: S92000003, label: geography} + - {column: D, row: 2247, expected_value: Males, label: sex} + - {column: E, row: 2247, expected_value: Employee, label: employment type} + - {column: J, row: 2247, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2249 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2249, expected_value: S92000003, label: geography} + - {column: D, row: 2249, expected_value: Males, label: sex} + - {column: E, row: 2249, expected_value: Employee, label: employment type} + - {column: J, row: 2249, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2251 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2251, expected_value: S92000003, label: geography} + - {column: D, row: 2251, expected_value: Males, label: sex} + - {column: E, row: 2251, expected_value: Employee, label: employment type} + - {column: J, row: 2251, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2253 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2253, expected_value: S92000003, label: geography} + - {column: D, row: 2253, expected_value: Males, label: sex} + - {column: E, row: 2253, expected_value: Employee, label: employment type} + - {column: J, row: 2253, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2255 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2255, expected_value: S92000003, label: geography} + - {column: D, row: 2255, expected_value: Males, label: sex} + - {column: E, row: 2255, expected_value: Employee, label: employment type} + - {column: J, row: 2255, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2257 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2257, expected_value: S92000003, label: geography} + - {column: D, row: 2257, expected_value: Males, label: sex} + - {column: E, row: 2257, expected_value: Employee, label: employment type} + - {column: J, row: 2257, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2259 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2259, expected_value: S92000003, label: geography} + - {column: D, row: 2259, expected_value: Males, label: sex} + - {column: E, row: 2259, expected_value: Employee, label: employment type} + - {column: J, row: 2259, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2261 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2261, expected_value: S92000003, label: geography} + - {column: D, row: 2261, expected_value: Males, label: sex} + - {column: E, row: 2261, expected_value: Employee, label: employment type} + - {column: J, row: 2261, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2263 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2263, expected_value: S92000003, label: geography} + - {column: D, row: 2263, expected_value: Males, label: sex} + - {column: E, row: 2263, expected_value: Employee, label: employment type} + - {column: J, row: 2263, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2265 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2265, expected_value: S92000003, label: geography} + - {column: D, row: 2265, expected_value: Males, label: sex} + - {column: E, row: 2265, expected_value: Employee, label: employment type} + - {column: J, row: 2265, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2267 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2267, expected_value: S92000003, label: geography} + - {column: D, row: 2267, expected_value: Males, label: sex} + - {column: E, row: 2267, expected_value: Employee, label: employment type} + - {column: J, row: 2267, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2271 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2271, expected_value: S92000003, label: geography} + - {column: D, row: 2271, expected_value: Males, label: sex} + - {column: E, row: 2271, expected_value: Employee, label: employment type} + - {column: J, row: 2271, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2273 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2273, expected_value: S92000003, label: geography} + - {column: D, row: 2273, expected_value: Males, label: sex} + - {column: E, row: 2273, expected_value: Employee, label: employment type} + - {column: J, row: 2273, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2275 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2275, expected_value: S92000003, label: geography} + - {column: D, row: 2275, expected_value: Males, label: sex} + - {column: E, row: 2275, expected_value: Employee, label: employment type} + - {column: J, row: 2275, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2277 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2277, expected_value: S92000003, label: geography} + - {column: D, row: 2277, expected_value: Males, label: sex} + - {column: E, row: 2277, expected_value: Employee, label: employment type} + - {column: J, row: 2277, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2279 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2279, expected_value: S92000003, label: geography} + - {column: D, row: 2279, expected_value: Males, label: sex} + - {column: E, row: 2279, expected_value: Employee, label: employment type} + - {column: J, row: 2279, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2281 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2281, expected_value: S92000003, label: geography} + - {column: D, row: 2281, expected_value: Males, label: sex} + - {column: E, row: 2281, expected_value: Employee, label: employment type} + - {column: J, row: 2281, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2283 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2283, expected_value: S92000003, label: geography} + - {column: D, row: 2283, expected_value: Males, label: sex} + - {column: E, row: 2283, expected_value: Employee, label: employment type} + - {column: J, row: 2283, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2285 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2285, expected_value: S92000003, label: geography} + - {column: D, row: 2285, expected_value: Males, label: sex} + - {column: E, row: 2285, expected_value: Employee, label: employment type} + - {column: J, row: 2285, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2289 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2289, expected_value: S92000003, label: geography} + - {column: D, row: 2289, expected_value: Males, label: sex} + - {column: E, row: 2289, expected_value: Employee, label: employment type} + - {column: J, row: 2289, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2291 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2291, expected_value: S92000003, label: geography} + - {column: D, row: 2291, expected_value: Males, label: sex} + - {column: E, row: 2291, expected_value: Employee, label: employment type} + - {column: J, row: 2291, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2293 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2293, expected_value: S92000003, label: geography} + - {column: D, row: 2293, expected_value: Males, label: sex} + - {column: E, row: 2293, expected_value: Employee, label: employment type} + - {column: J, row: 2293, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2295 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2295, expected_value: S92000003, label: geography} + - {column: D, row: 2295, expected_value: Males, label: sex} + - {column: E, row: 2295, expected_value: Employee, label: employment type} + - {column: J, row: 2295, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2297 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2297, expected_value: S92000003, label: geography} + - {column: D, row: 2297, expected_value: Males, label: sex} + - {column: E, row: 2297, expected_value: Employee, label: employment type} + - {column: J, row: 2297, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2299 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2299, expected_value: S92000003, label: geography} + - {column: D, row: 2299, expected_value: Males, label: sex} + - {column: E, row: 2299, expected_value: Employee, label: employment type} + - {column: J, row: 2299, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2301 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2301, expected_value: S92000003, label: geography} + - {column: D, row: 2301, expected_value: Males, label: sex} + - {column: E, row: 2301, expected_value: Employee, label: employment type} + - {column: J, row: 2301, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2303 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2303, expected_value: S92000003, label: geography} + - {column: D, row: 2303, expected_value: Males, label: sex} + - {column: E, row: 2303, expected_value: Employee, label: employment type} + - {column: J, row: 2303, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2305 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2305, expected_value: S92000003, label: geography} + - {column: D, row: 2305, expected_value: Males, label: sex} + - {column: E, row: 2305, expected_value: Employee, label: employment type} + - {column: J, row: 2305, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2450 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2450, expected_value: S92000003, label: geography} + - {column: D, row: 2450, expected_value: Males, label: sex} + - {column: E, row: 2450, expected_value: Self-employed, label: employment type} + - {column: J, row: 2450, expected_value: Value, label: measure} + - {column: L, row: 2451, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2452 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2452, expected_value: S92000003, label: geography} + - {column: D, row: 2452, expected_value: Males, label: sex} + - {column: E, row: 2452, expected_value: Self-employed, label: employment type} + - {column: J, row: 2452, expected_value: Value, label: measure} + - {column: L, row: 2453, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2454 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2454, expected_value: S92000003, label: geography} + - {column: D, row: 2454, expected_value: Males, label: sex} + - {column: E, row: 2454, expected_value: Self-employed, label: employment type} + - {column: J, row: 2454, expected_value: Value, label: measure} + - {column: L, row: 2455, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2456 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2456, expected_value: S92000003, label: geography} + - {column: D, row: 2456, expected_value: Males, label: sex} + - {column: E, row: 2456, expected_value: Self-employed, label: employment type} + - {column: J, row: 2456, expected_value: Value, label: measure} + - {column: L, row: 2457, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2458 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2458, expected_value: S92000003, label: geography} + - {column: D, row: 2458, expected_value: Males, label: sex} + - {column: E, row: 2458, expected_value: Self-employed, label: employment type} + - {column: J, row: 2458, expected_value: Value, label: measure} + - {column: L, row: 2459, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2460 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2460, expected_value: S92000003, label: geography} + - {column: D, row: 2460, expected_value: Males, label: sex} + - {column: E, row: 2460, expected_value: Self-employed, label: employment type} + - {column: J, row: 2460, expected_value: Value, label: measure} + - {column: L, row: 2461, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2462 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2462, expected_value: S92000003, label: geography} + - {column: D, row: 2462, expected_value: Males, label: sex} + - {column: E, row: 2462, expected_value: Self-employed, label: employment type} + - {column: J, row: 2462, expected_value: Value, label: measure} + - {column: L, row: 2463, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2464 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2464, expected_value: S92000003, label: geography} + - {column: D, row: 2464, expected_value: Males, label: sex} + - {column: E, row: 2464, expected_value: Self-employed, label: employment type} + - {column: J, row: 2464, expected_value: Value, label: measure} + - {column: L, row: 2465, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2466 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2466, expected_value: S92000003, label: geography} + - {column: D, row: 2466, expected_value: Males, label: sex} + - {column: E, row: 2466, expected_value: Self-employed, label: employment type} + - {column: J, row: 2466, expected_value: Value, label: measure} + - {column: L, row: 2467, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2468 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2468, expected_value: S92000003, label: geography} + - {column: D, row: 2468, expected_value: Males, label: sex} + - {column: E, row: 2468, expected_value: Self-employed, label: employment type} + - {column: J, row: 2468, expected_value: Value, label: measure} + - {column: L, row: 2469, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2470 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2470, expected_value: S92000003, label: geography} + - {column: D, row: 2470, expected_value: Males, label: sex} + - {column: E, row: 2470, expected_value: Self-employed, label: employment type} + - {column: J, row: 2470, expected_value: Value, label: measure} + - {column: L, row: 2471, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2472 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2472, expected_value: S92000003, label: geography} + - {column: D, row: 2472, expected_value: Males, label: sex} + - {column: E, row: 2472, expected_value: Self-employed, label: employment type} + - {column: J, row: 2472, expected_value: Value, label: measure} + - {column: L, row: 2473, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2474 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2474, expected_value: S92000003, label: geography} + - {column: D, row: 2474, expected_value: Males, label: sex} + - {column: E, row: 2474, expected_value: Self-employed, label: employment type} + - {column: J, row: 2474, expected_value: Value, label: measure} + - {column: L, row: 2475, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2476 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2476, expected_value: S92000003, label: geography} + - {column: D, row: 2476, expected_value: Males, label: sex} + - {column: E, row: 2476, expected_value: Self-employed, label: employment type} + - {column: J, row: 2476, expected_value: Value, label: measure} + - {column: L, row: 2477, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2478 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2478, expected_value: S92000003, label: geography} + - {column: D, row: 2478, expected_value: Males, label: sex} + - {column: E, row: 2478, expected_value: Self-employed, label: employment type} + - {column: J, row: 2478, expected_value: Value, label: measure} + - {column: L, row: 2479, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2480 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2480, expected_value: S92000003, label: geography} + - {column: D, row: 2480, expected_value: Males, label: sex} + - {column: E, row: 2480, expected_value: Self-employed, label: employment type} + - {column: J, row: 2480, expected_value: Value, label: measure} + - {column: L, row: 2481, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2482 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2482, expected_value: S92000003, label: geography} + - {column: D, row: 2482, expected_value: Males, label: sex} + - {column: E, row: 2482, expected_value: Self-employed, label: employment type} + - {column: J, row: 2482, expected_value: Value, label: measure} + - {column: L, row: 2483, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2486 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2486, expected_value: S92000003, label: geography} + - {column: D, row: 2486, expected_value: Males, label: sex} + - {column: E, row: 2486, expected_value: Self-employed, label: employment type} + - {column: J, row: 2486, expected_value: Value, label: measure} + - {column: L, row: 2487, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2488 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2488, expected_value: S92000003, label: geography} + - {column: D, row: 2488, expected_value: Males, label: sex} + - {column: E, row: 2488, expected_value: Self-employed, label: employment type} + - {column: J, row: 2488, expected_value: Value, label: measure} + - {column: L, row: 2489, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2490 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2490, expected_value: S92000003, label: geography} + - {column: D, row: 2490, expected_value: Males, label: sex} + - {column: E, row: 2490, expected_value: Self-employed, label: employment type} + - {column: J, row: 2490, expected_value: Value, label: measure} + - {column: L, row: 2491, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2492 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2492, expected_value: S92000003, label: geography} + - {column: D, row: 2492, expected_value: Males, label: sex} + - {column: E, row: 2492, expected_value: Self-employed, label: employment type} + - {column: J, row: 2492, expected_value: Value, label: measure} + - {column: L, row: 2493, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2494 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2494, expected_value: S92000003, label: geography} + - {column: D, row: 2494, expected_value: Males, label: sex} + - {column: E, row: 2494, expected_value: Self-employed, label: employment type} + - {column: J, row: 2494, expected_value: Value, label: measure} + - {column: L, row: 2495, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2496 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2496, expected_value: S92000003, label: geography} + - {column: D, row: 2496, expected_value: Males, label: sex} + - {column: E, row: 2496, expected_value: Self-employed, label: employment type} + - {column: J, row: 2496, expected_value: Value, label: measure} + - {column: L, row: 2497, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2498 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2498, expected_value: S92000003, label: geography} + - {column: D, row: 2498, expected_value: Males, label: sex} + - {column: E, row: 2498, expected_value: Self-employed, label: employment type} + - {column: J, row: 2498, expected_value: Value, label: measure} + - {column: L, row: 2499, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2500 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2500, expected_value: S92000003, label: geography} + - {column: D, row: 2500, expected_value: Males, label: sex} + - {column: E, row: 2500, expected_value: Self-employed, label: employment type} + - {column: J, row: 2500, expected_value: Value, label: measure} + - {column: L, row: 2501, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2504 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2504, expected_value: S92000003, label: geography} + - {column: D, row: 2504, expected_value: Males, label: sex} + - {column: E, row: 2504, expected_value: Self-employed, label: employment type} + - {column: J, row: 2504, expected_value: Value, label: measure} + - {column: L, row: 2505, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2506 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2506, expected_value: S92000003, label: geography} + - {column: D, row: 2506, expected_value: Males, label: sex} + - {column: E, row: 2506, expected_value: Self-employed, label: employment type} + - {column: J, row: 2506, expected_value: Value, label: measure} + - {column: L, row: 2507, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2510 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2510, expected_value: S92000003, label: geography} + - {column: D, row: 2510, expected_value: Males, label: sex} + - {column: E, row: 2510, expected_value: Self-employed, label: employment type} + - {column: J, row: 2510, expected_value: Value, label: measure} + - {column: L, row: 2511, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2512 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2512, expected_value: S92000003, label: geography} + - {column: D, row: 2512, expected_value: Males, label: sex} + - {column: E, row: 2512, expected_value: Self-employed, label: employment type} + - {column: J, row: 2512, expected_value: Value, label: measure} + - {column: L, row: 2513, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2514 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2514, expected_value: S92000003, label: geography} + - {column: D, row: 2514, expected_value: Males, label: sex} + - {column: E, row: 2514, expected_value: Self-employed, label: employment type} + - {column: J, row: 2514, expected_value: Value, label: measure} + - {column: L, row: 2515, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2516 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2516, expected_value: S92000003, label: geography} + - {column: D, row: 2516, expected_value: Males, label: sex} + - {column: E, row: 2516, expected_value: Self-employed, label: employment type} + - {column: J, row: 2516, expected_value: Value, label: measure} + - {column: L, row: 2517, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2518 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2518, expected_value: S92000003, label: geography} + - {column: D, row: 2518, expected_value: Males, label: sex} + - {column: E, row: 2518, expected_value: Self-employed, label: employment type} + - {column: J, row: 2518, expected_value: Value, label: measure} + - {column: L, row: 2519, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2520 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2520, expected_value: S92000003, label: geography} + - {column: D, row: 2520, expected_value: Males, label: sex} + - {column: E, row: 2520, expected_value: Self-employed, label: employment type} + - {column: J, row: 2520, expected_value: Value, label: measure} + - {column: L, row: 2521, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2451 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2451, expected_value: S92000003, label: geography} + - {column: D, row: 2451, expected_value: Males, label: sex} + - {column: E, row: 2451, expected_value: Self-employed, label: employment type} + - {column: J, row: 2451, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2453 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2453, expected_value: S92000003, label: geography} + - {column: D, row: 2453, expected_value: Males, label: sex} + - {column: E, row: 2453, expected_value: Self-employed, label: employment type} + - {column: J, row: 2453, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2455 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2455, expected_value: S92000003, label: geography} + - {column: D, row: 2455, expected_value: Males, label: sex} + - {column: E, row: 2455, expected_value: Self-employed, label: employment type} + - {column: J, row: 2455, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2457 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2457, expected_value: S92000003, label: geography} + - {column: D, row: 2457, expected_value: Males, label: sex} + - {column: E, row: 2457, expected_value: Self-employed, label: employment type} + - {column: J, row: 2457, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2459 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2459, expected_value: S92000003, label: geography} + - {column: D, row: 2459, expected_value: Males, label: sex} + - {column: E, row: 2459, expected_value: Self-employed, label: employment type} + - {column: J, row: 2459, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2461 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2461, expected_value: S92000003, label: geography} + - {column: D, row: 2461, expected_value: Males, label: sex} + - {column: E, row: 2461, expected_value: Self-employed, label: employment type} + - {column: J, row: 2461, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2463 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2463, expected_value: S92000003, label: geography} + - {column: D, row: 2463, expected_value: Males, label: sex} + - {column: E, row: 2463, expected_value: Self-employed, label: employment type} + - {column: J, row: 2463, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2465 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2465, expected_value: S92000003, label: geography} + - {column: D, row: 2465, expected_value: Males, label: sex} + - {column: E, row: 2465, expected_value: Self-employed, label: employment type} + - {column: J, row: 2465, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2467 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2467, expected_value: S92000003, label: geography} + - {column: D, row: 2467, expected_value: Males, label: sex} + - {column: E, row: 2467, expected_value: Self-employed, label: employment type} + - {column: J, row: 2467, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2469 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2469, expected_value: S92000003, label: geography} + - {column: D, row: 2469, expected_value: Males, label: sex} + - {column: E, row: 2469, expected_value: Self-employed, label: employment type} + - {column: J, row: 2469, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2477 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2477, expected_value: S92000003, label: geography} + - {column: D, row: 2477, expected_value: Males, label: sex} + - {column: E, row: 2477, expected_value: Self-employed, label: employment type} + - {column: J, row: 2477, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2479 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2479, expected_value: S92000003, label: geography} + - {column: D, row: 2479, expected_value: Males, label: sex} + - {column: E, row: 2479, expected_value: Self-employed, label: employment type} + - {column: J, row: 2479, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2487 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2487, expected_value: S92000003, label: geography} + - {column: D, row: 2487, expected_value: Males, label: sex} + - {column: E, row: 2487, expected_value: Self-employed, label: employment type} + - {column: J, row: 2487, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2489 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2489, expected_value: S92000003, label: geography} + - {column: D, row: 2489, expected_value: Males, label: sex} + - {column: E, row: 2489, expected_value: Self-employed, label: employment type} + - {column: J, row: 2489, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2491 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2491, expected_value: S92000003, label: geography} + - {column: D, row: 2491, expected_value: Males, label: sex} + - {column: E, row: 2491, expected_value: Self-employed, label: employment type} + - {column: J, row: 2491, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2493 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2493, expected_value: S92000003, label: geography} + - {column: D, row: 2493, expected_value: Males, label: sex} + - {column: E, row: 2493, expected_value: Self-employed, label: employment type} + - {column: J, row: 2493, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2495 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2495, expected_value: S92000003, label: geography} + - {column: D, row: 2495, expected_value: Males, label: sex} + - {column: E, row: 2495, expected_value: Self-employed, label: employment type} + - {column: J, row: 2495, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2497 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2497, expected_value: S92000003, label: geography} + - {column: D, row: 2497, expected_value: Males, label: sex} + - {column: E, row: 2497, expected_value: Self-employed, label: employment type} + - {column: J, row: 2497, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2501 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2501, expected_value: S92000003, label: geography} + - {column: D, row: 2501, expected_value: Males, label: sex} + - {column: E, row: 2501, expected_value: Self-employed, label: employment type} + - {column: J, row: 2501, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2505 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2505, expected_value: S92000003, label: geography} + - {column: D, row: 2505, expected_value: Males, label: sex} + - {column: E, row: 2505, expected_value: Self-employed, label: employment type} + - {column: J, row: 2505, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2507 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2507, expected_value: S92000003, label: geography} + - {column: D, row: 2507, expected_value: Males, label: sex} + - {column: E, row: 2507, expected_value: Self-employed, label: employment type} + - {column: J, row: 2507, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2511 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2511, expected_value: S92000003, label: geography} + - {column: D, row: 2511, expected_value: Males, label: sex} + - {column: E, row: 2511, expected_value: Self-employed, label: employment type} + - {column: J, row: 2511, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2513 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2513, expected_value: S92000003, label: geography} + - {column: D, row: 2513, expected_value: Males, label: sex} + - {column: E, row: 2513, expected_value: Self-employed, label: employment type} + - {column: J, row: 2513, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2515 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2515, expected_value: S92000003, label: geography} + - {column: D, row: 2515, expected_value: Males, label: sex} + - {column: E, row: 2515, expected_value: Self-employed, label: employment type} + - {column: J, row: 2515, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2517 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2517, expected_value: S92000003, label: geography} + - {column: D, row: 2517, expected_value: Males, label: sex} + - {column: E, row: 2517, expected_value: Self-employed, label: employment type} + - {column: J, row: 2517, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2519 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2519, expected_value: S92000003, label: geography} + - {column: D, row: 2519, expected_value: Males, label: sex} + - {column: E, row: 2519, expected_value: Self-employed, label: employment type} + - {column: J, row: 2519, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2090 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2090, expected_value: S92000003, label: geography} + - {column: D, row: 2090, expected_value: Females, label: sex} + - {column: E, row: 2090, expected_value: Total, label: employment type} + - {column: J, row: 2090, expected_value: Value, label: measure} + - {column: L, row: 2091, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2092 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2092, expected_value: S92000003, label: geography} + - {column: D, row: 2092, expected_value: Females, label: sex} + - {column: E, row: 2092, expected_value: Total, label: employment type} + - {column: J, row: 2092, expected_value: Value, label: measure} + - {column: L, row: 2093, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2094 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2094, expected_value: S92000003, label: geography} + - {column: D, row: 2094, expected_value: Females, label: sex} + - {column: E, row: 2094, expected_value: Total, label: employment type} + - {column: J, row: 2094, expected_value: Value, label: measure} + - {column: L, row: 2095, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2096 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2096, expected_value: S92000003, label: geography} + - {column: D, row: 2096, expected_value: Females, label: sex} + - {column: E, row: 2096, expected_value: Total, label: employment type} + - {column: J, row: 2096, expected_value: Value, label: measure} + - {column: L, row: 2097, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2098 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2098, expected_value: S92000003, label: geography} + - {column: D, row: 2098, expected_value: Females, label: sex} + - {column: E, row: 2098, expected_value: Total, label: employment type} + - {column: J, row: 2098, expected_value: Value, label: measure} + - {column: L, row: 2099, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2100 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2100, expected_value: S92000003, label: geography} + - {column: D, row: 2100, expected_value: Females, label: sex} + - {column: E, row: 2100, expected_value: Total, label: employment type} + - {column: J, row: 2100, expected_value: Value, label: measure} + - {column: L, row: 2101, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2102 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2102, expected_value: S92000003, label: geography} + - {column: D, row: 2102, expected_value: Females, label: sex} + - {column: E, row: 2102, expected_value: Total, label: employment type} + - {column: J, row: 2102, expected_value: Value, label: measure} + - {column: L, row: 2103, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2104 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2104, expected_value: S92000003, label: geography} + - {column: D, row: 2104, expected_value: Females, label: sex} + - {column: E, row: 2104, expected_value: Total, label: employment type} + - {column: J, row: 2104, expected_value: Value, label: measure} + - {column: L, row: 2105, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2106 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2106, expected_value: S92000003, label: geography} + - {column: D, row: 2106, expected_value: Females, label: sex} + - {column: E, row: 2106, expected_value: Total, label: employment type} + - {column: J, row: 2106, expected_value: Value, label: measure} + - {column: L, row: 2107, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2108 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2108, expected_value: S92000003, label: geography} + - {column: D, row: 2108, expected_value: Females, label: sex} + - {column: E, row: 2108, expected_value: Total, label: employment type} + - {column: J, row: 2108, expected_value: Value, label: measure} + - {column: L, row: 2109, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2110 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2110, expected_value: S92000003, label: geography} + - {column: D, row: 2110, expected_value: Females, label: sex} + - {column: E, row: 2110, expected_value: Total, label: employment type} + - {column: J, row: 2110, expected_value: Value, label: measure} + - {column: L, row: 2111, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2112 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2112, expected_value: S92000003, label: geography} + - {column: D, row: 2112, expected_value: Females, label: sex} + - {column: E, row: 2112, expected_value: Total, label: employment type} + - {column: J, row: 2112, expected_value: Value, label: measure} + - {column: L, row: 2113, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2114 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2114, expected_value: S92000003, label: geography} + - {column: D, row: 2114, expected_value: Females, label: sex} + - {column: E, row: 2114, expected_value: Total, label: employment type} + - {column: J, row: 2114, expected_value: Value, label: measure} + - {column: L, row: 2115, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2116 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2116, expected_value: S92000003, label: geography} + - {column: D, row: 2116, expected_value: Females, label: sex} + - {column: E, row: 2116, expected_value: Total, label: employment type} + - {column: J, row: 2116, expected_value: Value, label: measure} + - {column: L, row: 2117, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2118 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2118, expected_value: S92000003, label: geography} + - {column: D, row: 2118, expected_value: Females, label: sex} + - {column: E, row: 2118, expected_value: Total, label: employment type} + - {column: J, row: 2118, expected_value: Value, label: measure} + - {column: L, row: 2119, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2120 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2120, expected_value: S92000003, label: geography} + - {column: D, row: 2120, expected_value: Females, label: sex} + - {column: E, row: 2120, expected_value: Total, label: employment type} + - {column: J, row: 2120, expected_value: Value, label: measure} + - {column: L, row: 2121, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2122 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2122, expected_value: S92000003, label: geography} + - {column: D, row: 2122, expected_value: Females, label: sex} + - {column: E, row: 2122, expected_value: Total, label: employment type} + - {column: J, row: 2122, expected_value: Value, label: measure} + - {column: L, row: 2123, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2124 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2124, expected_value: S92000003, label: geography} + - {column: D, row: 2124, expected_value: Females, label: sex} + - {column: E, row: 2124, expected_value: Total, label: employment type} + - {column: J, row: 2124, expected_value: Value, label: measure} + - {column: L, row: 2125, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2126 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2126, expected_value: S92000003, label: geography} + - {column: D, row: 2126, expected_value: Females, label: sex} + - {column: E, row: 2126, expected_value: Total, label: employment type} + - {column: J, row: 2126, expected_value: Value, label: measure} + - {column: L, row: 2127, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2128 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2128, expected_value: S92000003, label: geography} + - {column: D, row: 2128, expected_value: Females, label: sex} + - {column: E, row: 2128, expected_value: Total, label: employment type} + - {column: J, row: 2128, expected_value: Value, label: measure} + - {column: L, row: 2129, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2130 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2130, expected_value: S92000003, label: geography} + - {column: D, row: 2130, expected_value: Females, label: sex} + - {column: E, row: 2130, expected_value: Total, label: employment type} + - {column: J, row: 2130, expected_value: Value, label: measure} + - {column: L, row: 2131, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2132 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2132, expected_value: S92000003, label: geography} + - {column: D, row: 2132, expected_value: Females, label: sex} + - {column: E, row: 2132, expected_value: Total, label: employment type} + - {column: J, row: 2132, expected_value: Value, label: measure} + - {column: L, row: 2133, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2134 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2134, expected_value: S92000003, label: geography} + - {column: D, row: 2134, expected_value: Females, label: sex} + - {column: E, row: 2134, expected_value: Total, label: employment type} + - {column: J, row: 2134, expected_value: Value, label: measure} + - {column: L, row: 2135, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2136 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2136, expected_value: S92000003, label: geography} + - {column: D, row: 2136, expected_value: Females, label: sex} + - {column: E, row: 2136, expected_value: Total, label: employment type} + - {column: J, row: 2136, expected_value: Value, label: measure} + - {column: L, row: 2137, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2138 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2138, expected_value: S92000003, label: geography} + - {column: D, row: 2138, expected_value: Females, label: sex} + - {column: E, row: 2138, expected_value: Total, label: employment type} + - {column: J, row: 2138, expected_value: Value, label: measure} + - {column: L, row: 2139, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2140 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2140, expected_value: S92000003, label: geography} + - {column: D, row: 2140, expected_value: Females, label: sex} + - {column: E, row: 2140, expected_value: Total, label: employment type} + - {column: J, row: 2140, expected_value: Value, label: measure} + - {column: L, row: 2141, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2144 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2144, expected_value: S92000003, label: geography} + - {column: D, row: 2144, expected_value: Females, label: sex} + - {column: E, row: 2144, expected_value: Total, label: employment type} + - {column: J, row: 2144, expected_value: Value, label: measure} + - {column: L, row: 2145, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2146 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2146, expected_value: S92000003, label: geography} + - {column: D, row: 2146, expected_value: Females, label: sex} + - {column: E, row: 2146, expected_value: Total, label: employment type} + - {column: J, row: 2146, expected_value: Value, label: measure} + - {column: L, row: 2147, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2148 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2148, expected_value: S92000003, label: geography} + - {column: D, row: 2148, expected_value: Females, label: sex} + - {column: E, row: 2148, expected_value: Total, label: employment type} + - {column: J, row: 2148, expected_value: Value, label: measure} + - {column: L, row: 2149, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2150 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2150, expected_value: S92000003, label: geography} + - {column: D, row: 2150, expected_value: Females, label: sex} + - {column: E, row: 2150, expected_value: Total, label: employment type} + - {column: J, row: 2150, expected_value: Value, label: measure} + - {column: L, row: 2151, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2152 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2152, expected_value: S92000003, label: geography} + - {column: D, row: 2152, expected_value: Females, label: sex} + - {column: E, row: 2152, expected_value: Total, label: employment type} + - {column: J, row: 2152, expected_value: Value, label: measure} + - {column: L, row: 2153, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2154 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2154, expected_value: S92000003, label: geography} + - {column: D, row: 2154, expected_value: Females, label: sex} + - {column: E, row: 2154, expected_value: Total, label: employment type} + - {column: J, row: 2154, expected_value: Value, label: measure} + - {column: L, row: 2155, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2156 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2156, expected_value: S92000003, label: geography} + - {column: D, row: 2156, expected_value: Females, label: sex} + - {column: E, row: 2156, expected_value: Total, label: employment type} + - {column: J, row: 2156, expected_value: Value, label: measure} + - {column: L, row: 2157, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2158 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2158, expected_value: S92000003, label: geography} + - {column: D, row: 2158, expected_value: Females, label: sex} + - {column: E, row: 2158, expected_value: Total, label: employment type} + - {column: J, row: 2158, expected_value: Value, label: measure} + - {column: L, row: 2159, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2160 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2160, expected_value: S92000003, label: geography} + - {column: D, row: 2160, expected_value: Females, label: sex} + - {column: E, row: 2160, expected_value: Total, label: employment type} + - {column: J, row: 2160, expected_value: Value, label: measure} + - {column: L, row: 2161, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2091 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2091, expected_value: S92000003, label: geography} + - {column: D, row: 2091, expected_value: Females, label: sex} + - {column: E, row: 2091, expected_value: Total, label: employment type} + - {column: J, row: 2091, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2093 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2093, expected_value: S92000003, label: geography} + - {column: D, row: 2093, expected_value: Females, label: sex} + - {column: E, row: 2093, expected_value: Total, label: employment type} + - {column: J, row: 2093, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2095 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2095, expected_value: S92000003, label: geography} + - {column: D, row: 2095, expected_value: Females, label: sex} + - {column: E, row: 2095, expected_value: Total, label: employment type} + - {column: J, row: 2095, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2097 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2097, expected_value: S92000003, label: geography} + - {column: D, row: 2097, expected_value: Females, label: sex} + - {column: E, row: 2097, expected_value: Total, label: employment type} + - {column: J, row: 2097, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2099 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2099, expected_value: S92000003, label: geography} + - {column: D, row: 2099, expected_value: Females, label: sex} + - {column: E, row: 2099, expected_value: Total, label: employment type} + - {column: J, row: 2099, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2101 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2101, expected_value: S92000003, label: geography} + - {column: D, row: 2101, expected_value: Females, label: sex} + - {column: E, row: 2101, expected_value: Total, label: employment type} + - {column: J, row: 2101, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2103 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2103, expected_value: S92000003, label: geography} + - {column: D, row: 2103, expected_value: Females, label: sex} + - {column: E, row: 2103, expected_value: Total, label: employment type} + - {column: J, row: 2103, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2105 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2105, expected_value: S92000003, label: geography} + - {column: D, row: 2105, expected_value: Females, label: sex} + - {column: E, row: 2105, expected_value: Total, label: employment type} + - {column: J, row: 2105, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2107 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2107, expected_value: S92000003, label: geography} + - {column: D, row: 2107, expected_value: Females, label: sex} + - {column: E, row: 2107, expected_value: Total, label: employment type} + - {column: J, row: 2107, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2109 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2109, expected_value: S92000003, label: geography} + - {column: D, row: 2109, expected_value: Females, label: sex} + - {column: E, row: 2109, expected_value: Total, label: employment type} + - {column: J, row: 2109, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2111 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2111, expected_value: S92000003, label: geography} + - {column: D, row: 2111, expected_value: Females, label: sex} + - {column: E, row: 2111, expected_value: Total, label: employment type} + - {column: J, row: 2111, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2113 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2113, expected_value: S92000003, label: geography} + - {column: D, row: 2113, expected_value: Females, label: sex} + - {column: E, row: 2113, expected_value: Total, label: employment type} + - {column: J, row: 2113, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2115 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2115, expected_value: S92000003, label: geography} + - {column: D, row: 2115, expected_value: Females, label: sex} + - {column: E, row: 2115, expected_value: Total, label: employment type} + - {column: J, row: 2115, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2117 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2117, expected_value: S92000003, label: geography} + - {column: D, row: 2117, expected_value: Females, label: sex} + - {column: E, row: 2117, expected_value: Total, label: employment type} + - {column: J, row: 2117, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2119 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2119, expected_value: S92000003, label: geography} + - {column: D, row: 2119, expected_value: Females, label: sex} + - {column: E, row: 2119, expected_value: Total, label: employment type} + - {column: J, row: 2119, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2121 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2121, expected_value: S92000003, label: geography} + - {column: D, row: 2121, expected_value: Females, label: sex} + - {column: E, row: 2121, expected_value: Total, label: employment type} + - {column: J, row: 2121, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2123 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2123, expected_value: S92000003, label: geography} + - {column: D, row: 2123, expected_value: Females, label: sex} + - {column: E, row: 2123, expected_value: Total, label: employment type} + - {column: J, row: 2123, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2125 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2125, expected_value: S92000003, label: geography} + - {column: D, row: 2125, expected_value: Females, label: sex} + - {column: E, row: 2125, expected_value: Total, label: employment type} + - {column: J, row: 2125, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2127 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2127, expected_value: S92000003, label: geography} + - {column: D, row: 2127, expected_value: Females, label: sex} + - {column: E, row: 2127, expected_value: Total, label: employment type} + - {column: J, row: 2127, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2129 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2129, expected_value: S92000003, label: geography} + - {column: D, row: 2129, expected_value: Females, label: sex} + - {column: E, row: 2129, expected_value: Total, label: employment type} + - {column: J, row: 2129, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2135 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2135, expected_value: S92000003, label: geography} + - {column: D, row: 2135, expected_value: Females, label: sex} + - {column: E, row: 2135, expected_value: Total, label: employment type} + - {column: J, row: 2135, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2137 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2137, expected_value: S92000003, label: geography} + - {column: D, row: 2137, expected_value: Females, label: sex} + - {column: E, row: 2137, expected_value: Total, label: employment type} + - {column: J, row: 2137, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2139 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2139, expected_value: S92000003, label: geography} + - {column: D, row: 2139, expected_value: Females, label: sex} + - {column: E, row: 2139, expected_value: Total, label: employment type} + - {column: J, row: 2139, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2141 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2141, expected_value: S92000003, label: geography} + - {column: D, row: 2141, expected_value: Females, label: sex} + - {column: E, row: 2141, expected_value: Total, label: employment type} + - {column: J, row: 2141, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2145 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2145, expected_value: S92000003, label: geography} + - {column: D, row: 2145, expected_value: Females, label: sex} + - {column: E, row: 2145, expected_value: Total, label: employment type} + - {column: J, row: 2145, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2147 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2147, expected_value: S92000003, label: geography} + - {column: D, row: 2147, expected_value: Females, label: sex} + - {column: E, row: 2147, expected_value: Total, label: employment type} + - {column: J, row: 2147, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2149 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2149, expected_value: S92000003, label: geography} + - {column: D, row: 2149, expected_value: Females, label: sex} + - {column: E, row: 2149, expected_value: Total, label: employment type} + - {column: J, row: 2149, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2151 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2151, expected_value: S92000003, label: geography} + - {column: D, row: 2151, expected_value: Females, label: sex} + - {column: E, row: 2151, expected_value: Total, label: employment type} + - {column: J, row: 2151, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2153 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2153, expected_value: S92000003, label: geography} + - {column: D, row: 2153, expected_value: Females, label: sex} + - {column: E, row: 2153, expected_value: Total, label: employment type} + - {column: J, row: 2153, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2155 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2155, expected_value: S92000003, label: geography} + - {column: D, row: 2155, expected_value: Females, label: sex} + - {column: E, row: 2155, expected_value: Total, label: employment type} + - {column: J, row: 2155, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2157 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2157, expected_value: S92000003, label: geography} + - {column: D, row: 2157, expected_value: Females, label: sex} + - {column: E, row: 2157, expected_value: Total, label: employment type} + - {column: J, row: 2157, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2159 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2159, expected_value: S92000003, label: geography} + - {column: D, row: 2159, expected_value: Females, label: sex} + - {column: E, row: 2159, expected_value: Total, label: employment type} + - {column: J, row: 2159, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2161 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2161, expected_value: S92000003, label: geography} + - {column: D, row: 2161, expected_value: Females, label: sex} + - {column: E, row: 2161, expected_value: Total, label: employment type} + - {column: J, row: 2161, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2306 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2306, expected_value: S92000003, label: geography} + - {column: D, row: 2306, expected_value: Females, label: sex} + - {column: E, row: 2306, expected_value: Employee, label: employment type} + - {column: J, row: 2306, expected_value: Value, label: measure} + - {column: L, row: 2307, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2308 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2308, expected_value: S92000003, label: geography} + - {column: D, row: 2308, expected_value: Females, label: sex} + - {column: E, row: 2308, expected_value: Employee, label: employment type} + - {column: J, row: 2308, expected_value: Value, label: measure} + - {column: L, row: 2309, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2310 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2310, expected_value: S92000003, label: geography} + - {column: D, row: 2310, expected_value: Females, label: sex} + - {column: E, row: 2310, expected_value: Employee, label: employment type} + - {column: J, row: 2310, expected_value: Value, label: measure} + - {column: L, row: 2311, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2312 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2312, expected_value: S92000003, label: geography} + - {column: D, row: 2312, expected_value: Females, label: sex} + - {column: E, row: 2312, expected_value: Employee, label: employment type} + - {column: J, row: 2312, expected_value: Value, label: measure} + - {column: L, row: 2313, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2314 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2314, expected_value: S92000003, label: geography} + - {column: D, row: 2314, expected_value: Females, label: sex} + - {column: E, row: 2314, expected_value: Employee, label: employment type} + - {column: J, row: 2314, expected_value: Value, label: measure} + - {column: L, row: 2315, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2316 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2316, expected_value: S92000003, label: geography} + - {column: D, row: 2316, expected_value: Females, label: sex} + - {column: E, row: 2316, expected_value: Employee, label: employment type} + - {column: J, row: 2316, expected_value: Value, label: measure} + - {column: L, row: 2317, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2318 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2318, expected_value: S92000003, label: geography} + - {column: D, row: 2318, expected_value: Females, label: sex} + - {column: E, row: 2318, expected_value: Employee, label: employment type} + - {column: J, row: 2318, expected_value: Value, label: measure} + - {column: L, row: 2319, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2320 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2320, expected_value: S92000003, label: geography} + - {column: D, row: 2320, expected_value: Females, label: sex} + - {column: E, row: 2320, expected_value: Employee, label: employment type} + - {column: J, row: 2320, expected_value: Value, label: measure} + - {column: L, row: 2321, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2322 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2322, expected_value: S92000003, label: geography} + - {column: D, row: 2322, expected_value: Females, label: sex} + - {column: E, row: 2322, expected_value: Employee, label: employment type} + - {column: J, row: 2322, expected_value: Value, label: measure} + - {column: L, row: 2323, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2324 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2324, expected_value: S92000003, label: geography} + - {column: D, row: 2324, expected_value: Females, label: sex} + - {column: E, row: 2324, expected_value: Employee, label: employment type} + - {column: J, row: 2324, expected_value: Value, label: measure} + - {column: L, row: 2325, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2326 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2326, expected_value: S92000003, label: geography} + - {column: D, row: 2326, expected_value: Females, label: sex} + - {column: E, row: 2326, expected_value: Employee, label: employment type} + - {column: J, row: 2326, expected_value: Value, label: measure} + - {column: L, row: 2327, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2328 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2328, expected_value: S92000003, label: geography} + - {column: D, row: 2328, expected_value: Females, label: sex} + - {column: E, row: 2328, expected_value: Employee, label: employment type} + - {column: J, row: 2328, expected_value: Value, label: measure} + - {column: L, row: 2329, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2330 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2330, expected_value: S92000003, label: geography} + - {column: D, row: 2330, expected_value: Females, label: sex} + - {column: E, row: 2330, expected_value: Employee, label: employment type} + - {column: J, row: 2330, expected_value: Value, label: measure} + - {column: L, row: 2331, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2332 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2332, expected_value: S92000003, label: geography} + - {column: D, row: 2332, expected_value: Females, label: sex} + - {column: E, row: 2332, expected_value: Employee, label: employment type} + - {column: J, row: 2332, expected_value: Value, label: measure} + - {column: L, row: 2333, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2334 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2334, expected_value: S92000003, label: geography} + - {column: D, row: 2334, expected_value: Females, label: sex} + - {column: E, row: 2334, expected_value: Employee, label: employment type} + - {column: J, row: 2334, expected_value: Value, label: measure} + - {column: L, row: 2335, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2336 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2336, expected_value: S92000003, label: geography} + - {column: D, row: 2336, expected_value: Females, label: sex} + - {column: E, row: 2336, expected_value: Employee, label: employment type} + - {column: J, row: 2336, expected_value: Value, label: measure} + - {column: L, row: 2337, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2338 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2338, expected_value: S92000003, label: geography} + - {column: D, row: 2338, expected_value: Females, label: sex} + - {column: E, row: 2338, expected_value: Employee, label: employment type} + - {column: J, row: 2338, expected_value: Value, label: measure} + - {column: L, row: 2339, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2340 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2340, expected_value: S92000003, label: geography} + - {column: D, row: 2340, expected_value: Females, label: sex} + - {column: E, row: 2340, expected_value: Employee, label: employment type} + - {column: J, row: 2340, expected_value: Value, label: measure} + - {column: L, row: 2341, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2342 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2342, expected_value: S92000003, label: geography} + - {column: D, row: 2342, expected_value: Females, label: sex} + - {column: E, row: 2342, expected_value: Employee, label: employment type} + - {column: J, row: 2342, expected_value: Value, label: measure} + - {column: L, row: 2343, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2344 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2344, expected_value: S92000003, label: geography} + - {column: D, row: 2344, expected_value: Females, label: sex} + - {column: E, row: 2344, expected_value: Employee, label: employment type} + - {column: J, row: 2344, expected_value: Value, label: measure} + - {column: L, row: 2345, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2346 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2346, expected_value: S92000003, label: geography} + - {column: D, row: 2346, expected_value: Females, label: sex} + - {column: E, row: 2346, expected_value: Employee, label: employment type} + - {column: J, row: 2346, expected_value: Value, label: measure} + - {column: L, row: 2347, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2350 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2350, expected_value: S92000003, label: geography} + - {column: D, row: 2350, expected_value: Females, label: sex} + - {column: E, row: 2350, expected_value: Employee, label: employment type} + - {column: J, row: 2350, expected_value: Value, label: measure} + - {column: L, row: 2351, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2352 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2352, expected_value: S92000003, label: geography} + - {column: D, row: 2352, expected_value: Females, label: sex} + - {column: E, row: 2352, expected_value: Employee, label: employment type} + - {column: J, row: 2352, expected_value: Value, label: measure} + - {column: L, row: 2353, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2354 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2354, expected_value: S92000003, label: geography} + - {column: D, row: 2354, expected_value: Females, label: sex} + - {column: E, row: 2354, expected_value: Employee, label: employment type} + - {column: J, row: 2354, expected_value: Value, label: measure} + - {column: L, row: 2355, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2356 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2356, expected_value: S92000003, label: geography} + - {column: D, row: 2356, expected_value: Females, label: sex} + - {column: E, row: 2356, expected_value: Employee, label: employment type} + - {column: J, row: 2356, expected_value: Value, label: measure} + - {column: L, row: 2357, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2360 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2360, expected_value: S92000003, label: geography} + - {column: D, row: 2360, expected_value: Females, label: sex} + - {column: E, row: 2360, expected_value: Employee, label: employment type} + - {column: J, row: 2360, expected_value: Value, label: measure} + - {column: L, row: 2361, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2362 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2362, expected_value: S92000003, label: geography} + - {column: D, row: 2362, expected_value: Females, label: sex} + - {column: E, row: 2362, expected_value: Employee, label: employment type} + - {column: J, row: 2362, expected_value: Value, label: measure} + - {column: L, row: 2363, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2364 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2364, expected_value: S92000003, label: geography} + - {column: D, row: 2364, expected_value: Females, label: sex} + - {column: E, row: 2364, expected_value: Employee, label: employment type} + - {column: J, row: 2364, expected_value: Value, label: measure} + - {column: L, row: 2365, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2366 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2366, expected_value: S92000003, label: geography} + - {column: D, row: 2366, expected_value: Females, label: sex} + - {column: E, row: 2366, expected_value: Employee, label: employment type} + - {column: J, row: 2366, expected_value: Value, label: measure} + - {column: L, row: 2367, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2368 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2368, expected_value: S92000003, label: geography} + - {column: D, row: 2368, expected_value: Females, label: sex} + - {column: E, row: 2368, expected_value: Employee, label: employment type} + - {column: J, row: 2368, expected_value: Value, label: measure} + - {column: L, row: 2369, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2370 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2370, expected_value: S92000003, label: geography} + - {column: D, row: 2370, expected_value: Females, label: sex} + - {column: E, row: 2370, expected_value: Employee, label: employment type} + - {column: J, row: 2370, expected_value: Value, label: measure} + - {column: L, row: 2371, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2372 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2372, expected_value: S92000003, label: geography} + - {column: D, row: 2372, expected_value: Females, label: sex} + - {column: E, row: 2372, expected_value: Employee, label: employment type} + - {column: J, row: 2372, expected_value: Value, label: measure} + - {column: L, row: 2373, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2374 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2374, expected_value: S92000003, label: geography} + - {column: D, row: 2374, expected_value: Females, label: sex} + - {column: E, row: 2374, expected_value: Employee, label: employment type} + - {column: J, row: 2374, expected_value: Value, label: measure} + - {column: L, row: 2375, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2376 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2376, expected_value: S92000003, label: geography} + - {column: D, row: 2376, expected_value: Females, label: sex} + - {column: E, row: 2376, expected_value: Employee, label: employment type} + - {column: J, row: 2376, expected_value: Value, label: measure} + - {column: L, row: 2377, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2307 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2307, expected_value: S92000003, label: geography} + - {column: D, row: 2307, expected_value: Females, label: sex} + - {column: E, row: 2307, expected_value: Employee, label: employment type} + - {column: J, row: 2307, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2309 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2309, expected_value: S92000003, label: geography} + - {column: D, row: 2309, expected_value: Females, label: sex} + - {column: E, row: 2309, expected_value: Employee, label: employment type} + - {column: J, row: 2309, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2311 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2311, expected_value: S92000003, label: geography} + - {column: D, row: 2311, expected_value: Females, label: sex} + - {column: E, row: 2311, expected_value: Employee, label: employment type} + - {column: J, row: 2311, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2313 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2313, expected_value: S92000003, label: geography} + - {column: D, row: 2313, expected_value: Females, label: sex} + - {column: E, row: 2313, expected_value: Employee, label: employment type} + - {column: J, row: 2313, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2315 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2315, expected_value: S92000003, label: geography} + - {column: D, row: 2315, expected_value: Females, label: sex} + - {column: E, row: 2315, expected_value: Employee, label: employment type} + - {column: J, row: 2315, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2317 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2317, expected_value: S92000003, label: geography} + - {column: D, row: 2317, expected_value: Females, label: sex} + - {column: E, row: 2317, expected_value: Employee, label: employment type} + - {column: J, row: 2317, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2319 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2319, expected_value: S92000003, label: geography} + - {column: D, row: 2319, expected_value: Females, label: sex} + - {column: E, row: 2319, expected_value: Employee, label: employment type} + - {column: J, row: 2319, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2321 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2321, expected_value: S92000003, label: geography} + - {column: D, row: 2321, expected_value: Females, label: sex} + - {column: E, row: 2321, expected_value: Employee, label: employment type} + - {column: J, row: 2321, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2323 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2323, expected_value: S92000003, label: geography} + - {column: D, row: 2323, expected_value: Females, label: sex} + - {column: E, row: 2323, expected_value: Employee, label: employment type} + - {column: J, row: 2323, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2325 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2325, expected_value: S92000003, label: geography} + - {column: D, row: 2325, expected_value: Females, label: sex} + - {column: E, row: 2325, expected_value: Employee, label: employment type} + - {column: J, row: 2325, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2327 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2327, expected_value: S92000003, label: geography} + - {column: D, row: 2327, expected_value: Females, label: sex} + - {column: E, row: 2327, expected_value: Employee, label: employment type} + - {column: J, row: 2327, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2329 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2329, expected_value: S92000003, label: geography} + - {column: D, row: 2329, expected_value: Females, label: sex} + - {column: E, row: 2329, expected_value: Employee, label: employment type} + - {column: J, row: 2329, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2331 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2331, expected_value: S92000003, label: geography} + - {column: D, row: 2331, expected_value: Females, label: sex} + - {column: E, row: 2331, expected_value: Employee, label: employment type} + - {column: J, row: 2331, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2333 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2333, expected_value: S92000003, label: geography} + - {column: D, row: 2333, expected_value: Females, label: sex} + - {column: E, row: 2333, expected_value: Employee, label: employment type} + - {column: J, row: 2333, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2335 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2335, expected_value: S92000003, label: geography} + - {column: D, row: 2335, expected_value: Females, label: sex} + - {column: E, row: 2335, expected_value: Employee, label: employment type} + - {column: J, row: 2335, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2337 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2337, expected_value: S92000003, label: geography} + - {column: D, row: 2337, expected_value: Females, label: sex} + - {column: E, row: 2337, expected_value: Employee, label: employment type} + - {column: J, row: 2337, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2339 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2339, expected_value: S92000003, label: geography} + - {column: D, row: 2339, expected_value: Females, label: sex} + - {column: E, row: 2339, expected_value: Employee, label: employment type} + - {column: J, row: 2339, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2341 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2341, expected_value: S92000003, label: geography} + - {column: D, row: 2341, expected_value: Females, label: sex} + - {column: E, row: 2341, expected_value: Employee, label: employment type} + - {column: J, row: 2341, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2343 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2343, expected_value: S92000003, label: geography} + - {column: D, row: 2343, expected_value: Females, label: sex} + - {column: E, row: 2343, expected_value: Employee, label: employment type} + - {column: J, row: 2343, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2351 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2351, expected_value: S92000003, label: geography} + - {column: D, row: 2351, expected_value: Females, label: sex} + - {column: E, row: 2351, expected_value: Employee, label: employment type} + - {column: J, row: 2351, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2353 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2353, expected_value: S92000003, label: geography} + - {column: D, row: 2353, expected_value: Females, label: sex} + - {column: E, row: 2353, expected_value: Employee, label: employment type} + - {column: J, row: 2353, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2355 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2355, expected_value: S92000003, label: geography} + - {column: D, row: 2355, expected_value: Females, label: sex} + - {column: E, row: 2355, expected_value: Employee, label: employment type} + - {column: J, row: 2355, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2357 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2357, expected_value: S92000003, label: geography} + - {column: D, row: 2357, expected_value: Females, label: sex} + - {column: E, row: 2357, expected_value: Employee, label: employment type} + - {column: J, row: 2357, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2361 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2361, expected_value: S92000003, label: geography} + - {column: D, row: 2361, expected_value: Females, label: sex} + - {column: E, row: 2361, expected_value: Employee, label: employment type} + - {column: J, row: 2361, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2363 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2363, expected_value: S92000003, label: geography} + - {column: D, row: 2363, expected_value: Females, label: sex} + - {column: E, row: 2363, expected_value: Employee, label: employment type} + - {column: J, row: 2363, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2365 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2365, expected_value: S92000003, label: geography} + - {column: D, row: 2365, expected_value: Females, label: sex} + - {column: E, row: 2365, expected_value: Employee, label: employment type} + - {column: J, row: 2365, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2367 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2367, expected_value: S92000003, label: geography} + - {column: D, row: 2367, expected_value: Females, label: sex} + - {column: E, row: 2367, expected_value: Employee, label: employment type} + - {column: J, row: 2367, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2369 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2369, expected_value: S92000003, label: geography} + - {column: D, row: 2369, expected_value: Females, label: sex} + - {column: E, row: 2369, expected_value: Employee, label: employment type} + - {column: J, row: 2369, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2371 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2371, expected_value: S92000003, label: geography} + - {column: D, row: 2371, expected_value: Females, label: sex} + - {column: E, row: 2371, expected_value: Employee, label: employment type} + - {column: J, row: 2371, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2373 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2373, expected_value: S92000003, label: geography} + - {column: D, row: 2373, expected_value: Females, label: sex} + - {column: E, row: 2373, expected_value: Employee, label: employment type} + - {column: J, row: 2373, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2375 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2375, expected_value: S92000003, label: geography} + - {column: D, row: 2375, expected_value: Females, label: sex} + - {column: E, row: 2375, expected_value: Employee, label: employment type} + - {column: J, row: 2375, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2377 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2377, expected_value: S92000003, label: geography} + - {column: D, row: 2377, expected_value: Females, label: sex} + - {column: E, row: 2377, expected_value: Employee, label: employment type} + - {column: J, row: 2377, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2522 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2522, expected_value: S92000003, label: geography} + - {column: D, row: 2522, expected_value: Females, label: sex} + - {column: E, row: 2522, expected_value: Self-employed, label: employment type} + - {column: J, row: 2522, expected_value: Value, label: measure} + - {column: L, row: 2523, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2524 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2524, expected_value: S92000003, label: geography} + - {column: D, row: 2524, expected_value: Females, label: sex} + - {column: E, row: 2524, expected_value: Self-employed, label: employment type} + - {column: J, row: 2524, expected_value: Value, label: measure} + - {column: L, row: 2525, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2526 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2526, expected_value: S92000003, label: geography} + - {column: D, row: 2526, expected_value: Females, label: sex} + - {column: E, row: 2526, expected_value: Self-employed, label: employment type} + - {column: J, row: 2526, expected_value: Value, label: measure} + - {column: L, row: 2527, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2528 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2528, expected_value: S92000003, label: geography} + - {column: D, row: 2528, expected_value: Females, label: sex} + - {column: E, row: 2528, expected_value: Self-employed, label: employment type} + - {column: J, row: 2528, expected_value: Value, label: measure} + - {column: L, row: 2529, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2530 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2530, expected_value: S92000003, label: geography} + - {column: D, row: 2530, expected_value: Females, label: sex} + - {column: E, row: 2530, expected_value: Self-employed, label: employment type} + - {column: J, row: 2530, expected_value: Value, label: measure} + - {column: L, row: 2531, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2532 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2532, expected_value: S92000003, label: geography} + - {column: D, row: 2532, expected_value: Females, label: sex} + - {column: E, row: 2532, expected_value: Self-employed, label: employment type} + - {column: J, row: 2532, expected_value: Value, label: measure} + - {column: L, row: 2533, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2534 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2534, expected_value: S92000003, label: geography} + - {column: D, row: 2534, expected_value: Females, label: sex} + - {column: E, row: 2534, expected_value: Self-employed, label: employment type} + - {column: J, row: 2534, expected_value: Value, label: measure} + - {column: L, row: 2535, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2536 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2536, expected_value: S92000003, label: geography} + - {column: D, row: 2536, expected_value: Females, label: sex} + - {column: E, row: 2536, expected_value: Self-employed, label: employment type} + - {column: J, row: 2536, expected_value: Value, label: measure} + - {column: L, row: 2537, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2538 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2538, expected_value: S92000003, label: geography} + - {column: D, row: 2538, expected_value: Females, label: sex} + - {column: E, row: 2538, expected_value: Self-employed, label: employment type} + - {column: J, row: 2538, expected_value: Value, label: measure} + - {column: L, row: 2539, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2540 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2540, expected_value: S92000003, label: geography} + - {column: D, row: 2540, expected_value: Females, label: sex} + - {column: E, row: 2540, expected_value: Self-employed, label: employment type} + - {column: J, row: 2540, expected_value: Value, label: measure} + - {column: L, row: 2541, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2544 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2544, expected_value: S92000003, label: geography} + - {column: D, row: 2544, expected_value: Females, label: sex} + - {column: E, row: 2544, expected_value: Self-employed, label: employment type} + - {column: J, row: 2544, expected_value: Value, label: measure} + - {column: L, row: 2545, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2548 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2548, expected_value: S92000003, label: geography} + - {column: D, row: 2548, expected_value: Females, label: sex} + - {column: E, row: 2548, expected_value: Self-employed, label: employment type} + - {column: J, row: 2548, expected_value: Value, label: measure} + - {column: L, row: 2549, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2550 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2550, expected_value: S92000003, label: geography} + - {column: D, row: 2550, expected_value: Females, label: sex} + - {column: E, row: 2550, expected_value: Self-employed, label: employment type} + - {column: J, row: 2550, expected_value: Value, label: measure} + - {column: L, row: 2551, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2552 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2552, expected_value: S92000003, label: geography} + - {column: D, row: 2552, expected_value: Females, label: sex} + - {column: E, row: 2552, expected_value: Self-employed, label: employment type} + - {column: J, row: 2552, expected_value: Value, label: measure} + - {column: L, row: 2553, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2554 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2554, expected_value: S92000003, label: geography} + - {column: D, row: 2554, expected_value: Females, label: sex} + - {column: E, row: 2554, expected_value: Self-employed, label: employment type} + - {column: J, row: 2554, expected_value: Value, label: measure} + - {column: L, row: 2555, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2556 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2556, expected_value: S92000003, label: geography} + - {column: D, row: 2556, expected_value: Females, label: sex} + - {column: E, row: 2556, expected_value: Self-employed, label: employment type} + - {column: J, row: 2556, expected_value: Value, label: measure} + - {column: L, row: 2557, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2558 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2558, expected_value: S92000003, label: geography} + - {column: D, row: 2558, expected_value: Females, label: sex} + - {column: E, row: 2558, expected_value: Self-employed, label: employment type} + - {column: J, row: 2558, expected_value: Value, label: measure} + - {column: L, row: 2559, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2560 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2560, expected_value: S92000003, label: geography} + - {column: D, row: 2560, expected_value: Females, label: sex} + - {column: E, row: 2560, expected_value: Self-employed, label: employment type} + - {column: J, row: 2560, expected_value: Value, label: measure} + - {column: L, row: 2561, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2566 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2566, expected_value: S92000003, label: geography} + - {column: D, row: 2566, expected_value: Females, label: sex} + - {column: E, row: 2566, expected_value: Self-employed, label: employment type} + - {column: J, row: 2566, expected_value: Value, label: measure} + - {column: L, row: 2567, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2568 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2568, expected_value: S92000003, label: geography} + - {column: D, row: 2568, expected_value: Females, label: sex} + - {column: E, row: 2568, expected_value: Self-employed, label: employment type} + - {column: J, row: 2568, expected_value: Value, label: measure} + - {column: L, row: 2569, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2570 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2570, expected_value: S92000003, label: geography} + - {column: D, row: 2570, expected_value: Females, label: sex} + - {column: E, row: 2570, expected_value: Self-employed, label: employment type} + - {column: J, row: 2570, expected_value: Value, label: measure} + - {column: L, row: 2571, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2572 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2572, expected_value: S92000003, label: geography} + - {column: D, row: 2572, expected_value: Females, label: sex} + - {column: E, row: 2572, expected_value: Self-employed, label: employment type} + - {column: J, row: 2572, expected_value: Value, label: measure} + - {column: L, row: 2573, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2576 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2576, expected_value: S92000003, label: geography} + - {column: D, row: 2576, expected_value: Females, label: sex} + - {column: E, row: 2576, expected_value: Self-employed, label: employment type} + - {column: J, row: 2576, expected_value: Value, label: measure} + - {column: L, row: 2577, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2578 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2578, expected_value: S92000003, label: geography} + - {column: D, row: 2578, expected_value: Females, label: sex} + - {column: E, row: 2578, expected_value: Self-employed, label: employment type} + - {column: J, row: 2578, expected_value: Value, label: measure} + - {column: L, row: 2579, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2582 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2582, expected_value: S92000003, label: geography} + - {column: D, row: 2582, expected_value: Females, label: sex} + - {column: E, row: 2582, expected_value: Self-employed, label: employment type} + - {column: J, row: 2582, expected_value: Value, label: measure} + - {column: L, row: 2583, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2584 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2584, expected_value: S92000003, label: geography} + - {column: D, row: 2584, expected_value: Females, label: sex} + - {column: E, row: 2584, expected_value: Self-employed, label: employment type} + - {column: J, row: 2584, expected_value: Value, label: measure} + - {column: L, row: 2585, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2586 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2586, expected_value: S92000003, label: geography} + - {column: D, row: 2586, expected_value: Females, label: sex} + - {column: E, row: 2586, expected_value: Self-employed, label: employment type} + - {column: J, row: 2586, expected_value: Value, label: measure} + - {column: L, row: 2587, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2588 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2588, expected_value: S92000003, label: geography} + - {column: D, row: 2588, expected_value: Females, label: sex} + - {column: E, row: 2588, expected_value: Self-employed, label: employment type} + - {column: J, row: 2588, expected_value: Value, label: measure} + - {column: L, row: 2589, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2590 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2590, expected_value: S92000003, label: geography} + - {column: D, row: 2590, expected_value: Females, label: sex} + - {column: E, row: 2590, expected_value: Self-employed, label: employment type} + - {column: J, row: 2590, expected_value: Value, label: measure} + - {column: L, row: 2591, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2592 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2592, expected_value: S92000003, label: geography} + - {column: D, row: 2592, expected_value: Females, label: sex} + - {column: E, row: 2592, expected_value: Self-employed, label: employment type} + - {column: J, row: 2592, expected_value: Value, label: measure} + - {column: L, row: 2593, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.s92000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2523 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2523, expected_value: S92000003, label: geography} + - {column: D, row: 2523, expected_value: Females, label: sex} + - {column: E, row: 2523, expected_value: Self-employed, label: employment type} + - {column: J, row: 2523, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2525 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2525, expected_value: S92000003, label: geography} + - {column: D, row: 2525, expected_value: Females, label: sex} + - {column: E, row: 2525, expected_value: Self-employed, label: employment type} + - {column: J, row: 2525, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2527 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2527, expected_value: S92000003, label: geography} + - {column: D, row: 2527, expected_value: Females, label: sex} + - {column: E, row: 2527, expected_value: Self-employed, label: employment type} + - {column: J, row: 2527, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2529 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2529, expected_value: S92000003, label: geography} + - {column: D, row: 2529, expected_value: Females, label: sex} + - {column: E, row: 2529, expected_value: Self-employed, label: employment type} + - {column: J, row: 2529, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2531 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2531, expected_value: S92000003, label: geography} + - {column: D, row: 2531, expected_value: Females, label: sex} + - {column: E, row: 2531, expected_value: Self-employed, label: employment type} + - {column: J, row: 2531, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2533 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2533, expected_value: S92000003, label: geography} + - {column: D, row: 2533, expected_value: Females, label: sex} + - {column: E, row: 2533, expected_value: Self-employed, label: employment type} + - {column: J, row: 2533, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2535 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2535, expected_value: S92000003, label: geography} + - {column: D, row: 2535, expected_value: Females, label: sex} + - {column: E, row: 2535, expected_value: Self-employed, label: employment type} + - {column: J, row: 2535, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2537 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2537, expected_value: S92000003, label: geography} + - {column: D, row: 2537, expected_value: Females, label: sex} + - {column: E, row: 2537, expected_value: Self-employed, label: employment type} + - {column: J, row: 2537, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2539 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2539, expected_value: S92000003, label: geography} + - {column: D, row: 2539, expected_value: Females, label: sex} + - {column: E, row: 2539, expected_value: Self-employed, label: employment type} + - {column: J, row: 2539, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2541 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2541, expected_value: S92000003, label: geography} + - {column: D, row: 2541, expected_value: Females, label: sex} + - {column: E, row: 2541, expected_value: Self-employed, label: employment type} + - {column: J, row: 2541, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2545 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2545, expected_value: S92000003, label: geography} + - {column: D, row: 2545, expected_value: Females, label: sex} + - {column: E, row: 2545, expected_value: Self-employed, label: employment type} + - {column: J, row: 2545, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2549 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2549, expected_value: S92000003, label: geography} + - {column: D, row: 2549, expected_value: Females, label: sex} + - {column: E, row: 2549, expected_value: Self-employed, label: employment type} + - {column: J, row: 2549, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2551 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2551, expected_value: S92000003, label: geography} + - {column: D, row: 2551, expected_value: Females, label: sex} + - {column: E, row: 2551, expected_value: Self-employed, label: employment type} + - {column: J, row: 2551, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2553 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2553, expected_value: S92000003, label: geography} + - {column: D, row: 2553, expected_value: Females, label: sex} + - {column: E, row: 2553, expected_value: Self-employed, label: employment type} + - {column: J, row: 2553, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2555 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2555, expected_value: S92000003, label: geography} + - {column: D, row: 2555, expected_value: Females, label: sex} + - {column: E, row: 2555, expected_value: Self-employed, label: employment type} + - {column: J, row: 2555, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2559 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2559, expected_value: S92000003, label: geography} + - {column: D, row: 2559, expected_value: Females, label: sex} + - {column: E, row: 2559, expected_value: Self-employed, label: employment type} + - {column: J, row: 2559, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2561 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2561, expected_value: S92000003, label: geography} + - {column: D, row: 2561, expected_value: Females, label: sex} + - {column: E, row: 2561, expected_value: Self-employed, label: employment type} + - {column: J, row: 2561, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2567 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2567, expected_value: S92000003, label: geography} + - {column: D, row: 2567, expected_value: Females, label: sex} + - {column: E, row: 2567, expected_value: Self-employed, label: employment type} + - {column: J, row: 2567, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2569 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2569, expected_value: S92000003, label: geography} + - {column: D, row: 2569, expected_value: Females, label: sex} + - {column: E, row: 2569, expected_value: Self-employed, label: employment type} + - {column: J, row: 2569, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2571 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2571, expected_value: S92000003, label: geography} + - {column: D, row: 2571, expected_value: Females, label: sex} + - {column: E, row: 2571, expected_value: Self-employed, label: employment type} + - {column: J, row: 2571, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2573 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2573, expected_value: S92000003, label: geography} + - {column: D, row: 2573, expected_value: Females, label: sex} + - {column: E, row: 2573, expected_value: Self-employed, label: employment type} + - {column: J, row: 2573, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2577 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2577, expected_value: S92000003, label: geography} + - {column: D, row: 2577, expected_value: Females, label: sex} + - {column: E, row: 2577, expected_value: Self-employed, label: employment type} + - {column: J, row: 2577, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2579 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2579, expected_value: S92000003, label: geography} + - {column: D, row: 2579, expected_value: Females, label: sex} + - {column: E, row: 2579, expected_value: Self-employed, label: employment type} + - {column: J, row: 2579, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2583 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2583, expected_value: S92000003, label: geography} + - {column: D, row: 2583, expected_value: Females, label: sex} + - {column: E, row: 2583, expected_value: Self-employed, label: employment type} + - {column: J, row: 2583, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2589 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2589, expected_value: S92000003, label: geography} + - {column: D, row: 2589, expected_value: Females, label: sex} + - {column: E, row: 2589, expected_value: Self-employed, label: employment type} + - {column: J, row: 2589, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2593 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2593, expected_value: S92000003, label: geography} + - {column: D, row: 2593, expected_value: Females, label: sex} + - {column: E, row: 2593, expected_value: Self-employed, label: employment type} + - {column: J, row: 2593, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2594 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2594, expected_value: N92000002, label: geography} + - {column: D, row: 2594, expected_value: All persons, label: sex} + - {column: E, row: 2594, expected_value: Total, label: employment type} + - {column: J, row: 2594, expected_value: Value, label: measure} + - {column: L, row: 2595, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2596 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2596, expected_value: N92000002, label: geography} + - {column: D, row: 2596, expected_value: All persons, label: sex} + - {column: E, row: 2596, expected_value: Total, label: employment type} + - {column: J, row: 2596, expected_value: Value, label: measure} + - {column: L, row: 2597, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2598 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2598, expected_value: N92000002, label: geography} + - {column: D, row: 2598, expected_value: All persons, label: sex} + - {column: E, row: 2598, expected_value: Total, label: employment type} + - {column: J, row: 2598, expected_value: Value, label: measure} + - {column: L, row: 2599, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2600 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2600, expected_value: N92000002, label: geography} + - {column: D, row: 2600, expected_value: All persons, label: sex} + - {column: E, row: 2600, expected_value: Total, label: employment type} + - {column: J, row: 2600, expected_value: Value, label: measure} + - {column: L, row: 2601, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2602 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2602, expected_value: N92000002, label: geography} + - {column: D, row: 2602, expected_value: All persons, label: sex} + - {column: E, row: 2602, expected_value: Total, label: employment type} + - {column: J, row: 2602, expected_value: Value, label: measure} + - {column: L, row: 2603, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2604 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2604, expected_value: N92000002, label: geography} + - {column: D, row: 2604, expected_value: All persons, label: sex} + - {column: E, row: 2604, expected_value: Total, label: employment type} + - {column: J, row: 2604, expected_value: Value, label: measure} + - {column: L, row: 2605, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2606 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2606, expected_value: N92000002, label: geography} + - {column: D, row: 2606, expected_value: All persons, label: sex} + - {column: E, row: 2606, expected_value: Total, label: employment type} + - {column: J, row: 2606, expected_value: Value, label: measure} + - {column: L, row: 2607, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2608 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2608, expected_value: N92000002, label: geography} + - {column: D, row: 2608, expected_value: All persons, label: sex} + - {column: E, row: 2608, expected_value: Total, label: employment type} + - {column: J, row: 2608, expected_value: Value, label: measure} + - {column: L, row: 2609, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2610 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2610, expected_value: N92000002, label: geography} + - {column: D, row: 2610, expected_value: All persons, label: sex} + - {column: E, row: 2610, expected_value: Total, label: employment type} + - {column: J, row: 2610, expected_value: Value, label: measure} + - {column: L, row: 2611, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2612 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2612, expected_value: N92000002, label: geography} + - {column: D, row: 2612, expected_value: All persons, label: sex} + - {column: E, row: 2612, expected_value: Total, label: employment type} + - {column: J, row: 2612, expected_value: Value, label: measure} + - {column: L, row: 2613, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2614 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2614, expected_value: N92000002, label: geography} + - {column: D, row: 2614, expected_value: All persons, label: sex} + - {column: E, row: 2614, expected_value: Total, label: employment type} + - {column: J, row: 2614, expected_value: Value, label: measure} + - {column: L, row: 2615, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2616 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2616, expected_value: N92000002, label: geography} + - {column: D, row: 2616, expected_value: All persons, label: sex} + - {column: E, row: 2616, expected_value: Total, label: employment type} + - {column: J, row: 2616, expected_value: Value, label: measure} + - {column: L, row: 2617, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2618 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2618, expected_value: N92000002, label: geography} + - {column: D, row: 2618, expected_value: All persons, label: sex} + - {column: E, row: 2618, expected_value: Total, label: employment type} + - {column: J, row: 2618, expected_value: Value, label: measure} + - {column: L, row: 2619, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2620 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2620, expected_value: N92000002, label: geography} + - {column: D, row: 2620, expected_value: All persons, label: sex} + - {column: E, row: 2620, expected_value: Total, label: employment type} + - {column: J, row: 2620, expected_value: Value, label: measure} + - {column: L, row: 2621, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2622 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2622, expected_value: N92000002, label: geography} + - {column: D, row: 2622, expected_value: All persons, label: sex} + - {column: E, row: 2622, expected_value: Total, label: employment type} + - {column: J, row: 2622, expected_value: Value, label: measure} + - {column: L, row: 2623, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2624 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2624, expected_value: N92000002, label: geography} + - {column: D, row: 2624, expected_value: All persons, label: sex} + - {column: E, row: 2624, expected_value: Total, label: employment type} + - {column: J, row: 2624, expected_value: Value, label: measure} + - {column: L, row: 2625, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2626 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2626, expected_value: N92000002, label: geography} + - {column: D, row: 2626, expected_value: All persons, label: sex} + - {column: E, row: 2626, expected_value: Total, label: employment type} + - {column: J, row: 2626, expected_value: Value, label: measure} + - {column: L, row: 2627, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2628 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2628, expected_value: N92000002, label: geography} + - {column: D, row: 2628, expected_value: All persons, label: sex} + - {column: E, row: 2628, expected_value: Total, label: employment type} + - {column: J, row: 2628, expected_value: Value, label: measure} + - {column: L, row: 2629, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2630 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2630, expected_value: N92000002, label: geography} + - {column: D, row: 2630, expected_value: All persons, label: sex} + - {column: E, row: 2630, expected_value: Total, label: employment type} + - {column: J, row: 2630, expected_value: Value, label: measure} + - {column: L, row: 2631, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2632 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2632, expected_value: N92000002, label: geography} + - {column: D, row: 2632, expected_value: All persons, label: sex} + - {column: E, row: 2632, expected_value: Total, label: employment type} + - {column: J, row: 2632, expected_value: Value, label: measure} + - {column: L, row: 2633, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2634 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2634, expected_value: N92000002, label: geography} + - {column: D, row: 2634, expected_value: All persons, label: sex} + - {column: E, row: 2634, expected_value: Total, label: employment type} + - {column: J, row: 2634, expected_value: Value, label: measure} + - {column: L, row: 2635, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2636 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2636, expected_value: N92000002, label: geography} + - {column: D, row: 2636, expected_value: All persons, label: sex} + - {column: E, row: 2636, expected_value: Total, label: employment type} + - {column: J, row: 2636, expected_value: Value, label: measure} + - {column: L, row: 2637, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2638 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2638, expected_value: N92000002, label: geography} + - {column: D, row: 2638, expected_value: All persons, label: sex} + - {column: E, row: 2638, expected_value: Total, label: employment type} + - {column: J, row: 2638, expected_value: Value, label: measure} + - {column: L, row: 2639, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2640 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2640, expected_value: N92000002, label: geography} + - {column: D, row: 2640, expected_value: All persons, label: sex} + - {column: E, row: 2640, expected_value: Total, label: employment type} + - {column: J, row: 2640, expected_value: Value, label: measure} + - {column: L, row: 2641, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2642 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2642, expected_value: N92000002, label: geography} + - {column: D, row: 2642, expected_value: All persons, label: sex} + - {column: E, row: 2642, expected_value: Total, label: employment type} + - {column: J, row: 2642, expected_value: Value, label: measure} + - {column: L, row: 2643, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2644 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2644, expected_value: N92000002, label: geography} + - {column: D, row: 2644, expected_value: All persons, label: sex} + - {column: E, row: 2644, expected_value: Total, label: employment type} + - {column: J, row: 2644, expected_value: Value, label: measure} + - {column: L, row: 2645, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2646 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2646, expected_value: N92000002, label: geography} + - {column: D, row: 2646, expected_value: All persons, label: sex} + - {column: E, row: 2646, expected_value: Total, label: employment type} + - {column: J, row: 2646, expected_value: Value, label: measure} + - {column: L, row: 2647, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2648 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2648, expected_value: N92000002, label: geography} + - {column: D, row: 2648, expected_value: All persons, label: sex} + - {column: E, row: 2648, expected_value: Total, label: employment type} + - {column: J, row: 2648, expected_value: Value, label: measure} + - {column: L, row: 2649, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2650 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2650, expected_value: N92000002, label: geography} + - {column: D, row: 2650, expected_value: All persons, label: sex} + - {column: E, row: 2650, expected_value: Total, label: employment type} + - {column: J, row: 2650, expected_value: Value, label: measure} + - {column: L, row: 2651, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2652 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2652, expected_value: N92000002, label: geography} + - {column: D, row: 2652, expected_value: All persons, label: sex} + - {column: E, row: 2652, expected_value: Total, label: employment type} + - {column: J, row: 2652, expected_value: Value, label: measure} + - {column: L, row: 2653, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2654 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2654, expected_value: N92000002, label: geography} + - {column: D, row: 2654, expected_value: All persons, label: sex} + - {column: E, row: 2654, expected_value: Total, label: employment type} + - {column: J, row: 2654, expected_value: Value, label: measure} + - {column: L, row: 2655, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2656 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2656, expected_value: N92000002, label: geography} + - {column: D, row: 2656, expected_value: All persons, label: sex} + - {column: E, row: 2656, expected_value: Total, label: employment type} + - {column: J, row: 2656, expected_value: Value, label: measure} + - {column: L, row: 2657, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2658 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2658, expected_value: N92000002, label: geography} + - {column: D, row: 2658, expected_value: All persons, label: sex} + - {column: E, row: 2658, expected_value: Total, label: employment type} + - {column: J, row: 2658, expected_value: Value, label: measure} + - {column: L, row: 2659, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2660 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2660, expected_value: N92000002, label: geography} + - {column: D, row: 2660, expected_value: All persons, label: sex} + - {column: E, row: 2660, expected_value: Total, label: employment type} + - {column: J, row: 2660, expected_value: Value, label: measure} + - {column: L, row: 2661, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2662 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2662, expected_value: N92000002, label: geography} + - {column: D, row: 2662, expected_value: All persons, label: sex} + - {column: E, row: 2662, expected_value: Total, label: employment type} + - {column: J, row: 2662, expected_value: Value, label: measure} + - {column: L, row: 2663, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2664 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2664, expected_value: N92000002, label: geography} + - {column: D, row: 2664, expected_value: All persons, label: sex} + - {column: E, row: 2664, expected_value: Total, label: employment type} + - {column: J, row: 2664, expected_value: Value, label: measure} + - {column: L, row: 2665, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2595 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2595, expected_value: N92000002, label: geography} + - {column: D, row: 2595, expected_value: All persons, label: sex} + - {column: E, row: 2595, expected_value: Total, label: employment type} + - {column: J, row: 2595, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2597 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2597, expected_value: N92000002, label: geography} + - {column: D, row: 2597, expected_value: All persons, label: sex} + - {column: E, row: 2597, expected_value: Total, label: employment type} + - {column: J, row: 2597, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2599 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2599, expected_value: N92000002, label: geography} + - {column: D, row: 2599, expected_value: All persons, label: sex} + - {column: E, row: 2599, expected_value: Total, label: employment type} + - {column: J, row: 2599, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2601 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2601, expected_value: N92000002, label: geography} + - {column: D, row: 2601, expected_value: All persons, label: sex} + - {column: E, row: 2601, expected_value: Total, label: employment type} + - {column: J, row: 2601, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2603 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2603, expected_value: N92000002, label: geography} + - {column: D, row: 2603, expected_value: All persons, label: sex} + - {column: E, row: 2603, expected_value: Total, label: employment type} + - {column: J, row: 2603, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2605 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2605, expected_value: N92000002, label: geography} + - {column: D, row: 2605, expected_value: All persons, label: sex} + - {column: E, row: 2605, expected_value: Total, label: employment type} + - {column: J, row: 2605, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2607 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2607, expected_value: N92000002, label: geography} + - {column: D, row: 2607, expected_value: All persons, label: sex} + - {column: E, row: 2607, expected_value: Total, label: employment type} + - {column: J, row: 2607, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2609 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2609, expected_value: N92000002, label: geography} + - {column: D, row: 2609, expected_value: All persons, label: sex} + - {column: E, row: 2609, expected_value: Total, label: employment type} + - {column: J, row: 2609, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2611 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2611, expected_value: N92000002, label: geography} + - {column: D, row: 2611, expected_value: All persons, label: sex} + - {column: E, row: 2611, expected_value: Total, label: employment type} + - {column: J, row: 2611, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2613 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2613, expected_value: N92000002, label: geography} + - {column: D, row: 2613, expected_value: All persons, label: sex} + - {column: E, row: 2613, expected_value: Total, label: employment type} + - {column: J, row: 2613, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2615 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2615, expected_value: N92000002, label: geography} + - {column: D, row: 2615, expected_value: All persons, label: sex} + - {column: E, row: 2615, expected_value: Total, label: employment type} + - {column: J, row: 2615, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2617 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2617, expected_value: N92000002, label: geography} + - {column: D, row: 2617, expected_value: All persons, label: sex} + - {column: E, row: 2617, expected_value: Total, label: employment type} + - {column: J, row: 2617, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2619 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2619, expected_value: N92000002, label: geography} + - {column: D, row: 2619, expected_value: All persons, label: sex} + - {column: E, row: 2619, expected_value: Total, label: employment type} + - {column: J, row: 2619, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2621 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2621, expected_value: N92000002, label: geography} + - {column: D, row: 2621, expected_value: All persons, label: sex} + - {column: E, row: 2621, expected_value: Total, label: employment type} + - {column: J, row: 2621, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2623 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2623, expected_value: N92000002, label: geography} + - {column: D, row: 2623, expected_value: All persons, label: sex} + - {column: E, row: 2623, expected_value: Total, label: employment type} + - {column: J, row: 2623, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2625 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2625, expected_value: N92000002, label: geography} + - {column: D, row: 2625, expected_value: All persons, label: sex} + - {column: E, row: 2625, expected_value: Total, label: employment type} + - {column: J, row: 2625, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2627 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2627, expected_value: N92000002, label: geography} + - {column: D, row: 2627, expected_value: All persons, label: sex} + - {column: E, row: 2627, expected_value: Total, label: employment type} + - {column: J, row: 2627, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2629 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2629, expected_value: N92000002, label: geography} + - {column: D, row: 2629, expected_value: All persons, label: sex} + - {column: E, row: 2629, expected_value: Total, label: employment type} + - {column: J, row: 2629, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2631 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2631, expected_value: N92000002, label: geography} + - {column: D, row: 2631, expected_value: All persons, label: sex} + - {column: E, row: 2631, expected_value: Total, label: employment type} + - {column: J, row: 2631, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2633 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2633, expected_value: N92000002, label: geography} + - {column: D, row: 2633, expected_value: All persons, label: sex} + - {column: E, row: 2633, expected_value: Total, label: employment type} + - {column: J, row: 2633, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2635 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2635, expected_value: N92000002, label: geography} + - {column: D, row: 2635, expected_value: All persons, label: sex} + - {column: E, row: 2635, expected_value: Total, label: employment type} + - {column: J, row: 2635, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2637 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2637, expected_value: N92000002, label: geography} + - {column: D, row: 2637, expected_value: All persons, label: sex} + - {column: E, row: 2637, expected_value: Total, label: employment type} + - {column: J, row: 2637, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2639 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2639, expected_value: N92000002, label: geography} + - {column: D, row: 2639, expected_value: All persons, label: sex} + - {column: E, row: 2639, expected_value: Total, label: employment type} + - {column: J, row: 2639, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2641 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2641, expected_value: N92000002, label: geography} + - {column: D, row: 2641, expected_value: All persons, label: sex} + - {column: E, row: 2641, expected_value: Total, label: employment type} + - {column: J, row: 2641, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2643 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2643, expected_value: N92000002, label: geography} + - {column: D, row: 2643, expected_value: All persons, label: sex} + - {column: E, row: 2643, expected_value: Total, label: employment type} + - {column: J, row: 2643, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2645 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2645, expected_value: N92000002, label: geography} + - {column: D, row: 2645, expected_value: All persons, label: sex} + - {column: E, row: 2645, expected_value: Total, label: employment type} + - {column: J, row: 2645, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2649 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2649, expected_value: N92000002, label: geography} + - {column: D, row: 2649, expected_value: All persons, label: sex} + - {column: E, row: 2649, expected_value: Total, label: employment type} + - {column: J, row: 2649, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2651 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2651, expected_value: N92000002, label: geography} + - {column: D, row: 2651, expected_value: All persons, label: sex} + - {column: E, row: 2651, expected_value: Total, label: employment type} + - {column: J, row: 2651, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2653 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2653, expected_value: N92000002, label: geography} + - {column: D, row: 2653, expected_value: All persons, label: sex} + - {column: E, row: 2653, expected_value: Total, label: employment type} + - {column: J, row: 2653, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2655 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2655, expected_value: N92000002, label: geography} + - {column: D, row: 2655, expected_value: All persons, label: sex} + - {column: E, row: 2655, expected_value: Total, label: employment type} + - {column: J, row: 2655, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2657 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2657, expected_value: N92000002, label: geography} + - {column: D, row: 2657, expected_value: All persons, label: sex} + - {column: E, row: 2657, expected_value: Total, label: employment type} + - {column: J, row: 2657, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2659 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2659, expected_value: N92000002, label: geography} + - {column: D, row: 2659, expected_value: All persons, label: sex} + - {column: E, row: 2659, expected_value: Total, label: employment type} + - {column: J, row: 2659, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2661 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2661, expected_value: N92000002, label: geography} + - {column: D, row: 2661, expected_value: All persons, label: sex} + - {column: E, row: 2661, expected_value: Total, label: employment type} + - {column: J, row: 2661, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2663 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2663, expected_value: N92000002, label: geography} + - {column: D, row: 2663, expected_value: All persons, label: sex} + - {column: E, row: 2663, expected_value: Total, label: employment type} + - {column: J, row: 2663, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2665 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2665, expected_value: N92000002, label: geography} + - {column: D, row: 2665, expected_value: All persons, label: sex} + - {column: E, row: 2665, expected_value: Total, label: employment type} + - {column: J, row: 2665, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2810 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2810, expected_value: N92000002, label: geography} + - {column: D, row: 2810, expected_value: All persons, label: sex} + - {column: E, row: 2810, expected_value: Employee, label: employment type} + - {column: J, row: 2810, expected_value: Value, label: measure} + - {column: L, row: 2811, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2812 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2812, expected_value: N92000002, label: geography} + - {column: D, row: 2812, expected_value: All persons, label: sex} + - {column: E, row: 2812, expected_value: Employee, label: employment type} + - {column: J, row: 2812, expected_value: Value, label: measure} + - {column: L, row: 2813, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2814 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2814, expected_value: N92000002, label: geography} + - {column: D, row: 2814, expected_value: All persons, label: sex} + - {column: E, row: 2814, expected_value: Employee, label: employment type} + - {column: J, row: 2814, expected_value: Value, label: measure} + - {column: L, row: 2815, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2816 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2816, expected_value: N92000002, label: geography} + - {column: D, row: 2816, expected_value: All persons, label: sex} + - {column: E, row: 2816, expected_value: Employee, label: employment type} + - {column: J, row: 2816, expected_value: Value, label: measure} + - {column: L, row: 2817, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2818 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2818, expected_value: N92000002, label: geography} + - {column: D, row: 2818, expected_value: All persons, label: sex} + - {column: E, row: 2818, expected_value: Employee, label: employment type} + - {column: J, row: 2818, expected_value: Value, label: measure} + - {column: L, row: 2819, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2820 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2820, expected_value: N92000002, label: geography} + - {column: D, row: 2820, expected_value: All persons, label: sex} + - {column: E, row: 2820, expected_value: Employee, label: employment type} + - {column: J, row: 2820, expected_value: Value, label: measure} + - {column: L, row: 2821, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2822 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2822, expected_value: N92000002, label: geography} + - {column: D, row: 2822, expected_value: All persons, label: sex} + - {column: E, row: 2822, expected_value: Employee, label: employment type} + - {column: J, row: 2822, expected_value: Value, label: measure} + - {column: L, row: 2823, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2824 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2824, expected_value: N92000002, label: geography} + - {column: D, row: 2824, expected_value: All persons, label: sex} + - {column: E, row: 2824, expected_value: Employee, label: employment type} + - {column: J, row: 2824, expected_value: Value, label: measure} + - {column: L, row: 2825, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2826 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2826, expected_value: N92000002, label: geography} + - {column: D, row: 2826, expected_value: All persons, label: sex} + - {column: E, row: 2826, expected_value: Employee, label: employment type} + - {column: J, row: 2826, expected_value: Value, label: measure} + - {column: L, row: 2827, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2828 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2828, expected_value: N92000002, label: geography} + - {column: D, row: 2828, expected_value: All persons, label: sex} + - {column: E, row: 2828, expected_value: Employee, label: employment type} + - {column: J, row: 2828, expected_value: Value, label: measure} + - {column: L, row: 2829, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2830 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2830, expected_value: N92000002, label: geography} + - {column: D, row: 2830, expected_value: All persons, label: sex} + - {column: E, row: 2830, expected_value: Employee, label: employment type} + - {column: J, row: 2830, expected_value: Value, label: measure} + - {column: L, row: 2831, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2832 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2832, expected_value: N92000002, label: geography} + - {column: D, row: 2832, expected_value: All persons, label: sex} + - {column: E, row: 2832, expected_value: Employee, label: employment type} + - {column: J, row: 2832, expected_value: Value, label: measure} + - {column: L, row: 2833, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2834 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2834, expected_value: N92000002, label: geography} + - {column: D, row: 2834, expected_value: All persons, label: sex} + - {column: E, row: 2834, expected_value: Employee, label: employment type} + - {column: J, row: 2834, expected_value: Value, label: measure} + - {column: L, row: 2835, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2836 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2836, expected_value: N92000002, label: geography} + - {column: D, row: 2836, expected_value: All persons, label: sex} + - {column: E, row: 2836, expected_value: Employee, label: employment type} + - {column: J, row: 2836, expected_value: Value, label: measure} + - {column: L, row: 2837, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2838 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2838, expected_value: N92000002, label: geography} + - {column: D, row: 2838, expected_value: All persons, label: sex} + - {column: E, row: 2838, expected_value: Employee, label: employment type} + - {column: J, row: 2838, expected_value: Value, label: measure} + - {column: L, row: 2839, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2840 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2840, expected_value: N92000002, label: geography} + - {column: D, row: 2840, expected_value: All persons, label: sex} + - {column: E, row: 2840, expected_value: Employee, label: employment type} + - {column: J, row: 2840, expected_value: Value, label: measure} + - {column: L, row: 2841, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2842 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2842, expected_value: N92000002, label: geography} + - {column: D, row: 2842, expected_value: All persons, label: sex} + - {column: E, row: 2842, expected_value: Employee, label: employment type} + - {column: J, row: 2842, expected_value: Value, label: measure} + - {column: L, row: 2843, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2844 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2844, expected_value: N92000002, label: geography} + - {column: D, row: 2844, expected_value: All persons, label: sex} + - {column: E, row: 2844, expected_value: Employee, label: employment type} + - {column: J, row: 2844, expected_value: Value, label: measure} + - {column: L, row: 2845, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2846 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2846, expected_value: N92000002, label: geography} + - {column: D, row: 2846, expected_value: All persons, label: sex} + - {column: E, row: 2846, expected_value: Employee, label: employment type} + - {column: J, row: 2846, expected_value: Value, label: measure} + - {column: L, row: 2847, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2848 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2848, expected_value: N92000002, label: geography} + - {column: D, row: 2848, expected_value: All persons, label: sex} + - {column: E, row: 2848, expected_value: Employee, label: employment type} + - {column: J, row: 2848, expected_value: Value, label: measure} + - {column: L, row: 2849, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2850 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2850, expected_value: N92000002, label: geography} + - {column: D, row: 2850, expected_value: All persons, label: sex} + - {column: E, row: 2850, expected_value: Employee, label: employment type} + - {column: J, row: 2850, expected_value: Value, label: measure} + - {column: L, row: 2851, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2852 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2852, expected_value: N92000002, label: geography} + - {column: D, row: 2852, expected_value: All persons, label: sex} + - {column: E, row: 2852, expected_value: Employee, label: employment type} + - {column: J, row: 2852, expected_value: Value, label: measure} + - {column: L, row: 2853, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2854 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2854, expected_value: N92000002, label: geography} + - {column: D, row: 2854, expected_value: All persons, label: sex} + - {column: E, row: 2854, expected_value: Employee, label: employment type} + - {column: J, row: 2854, expected_value: Value, label: measure} + - {column: L, row: 2855, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2856 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2856, expected_value: N92000002, label: geography} + - {column: D, row: 2856, expected_value: All persons, label: sex} + - {column: E, row: 2856, expected_value: Employee, label: employment type} + - {column: J, row: 2856, expected_value: Value, label: measure} + - {column: L, row: 2857, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2858 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2858, expected_value: N92000002, label: geography} + - {column: D, row: 2858, expected_value: All persons, label: sex} + - {column: E, row: 2858, expected_value: Employee, label: employment type} + - {column: J, row: 2858, expected_value: Value, label: measure} + - {column: L, row: 2859, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2860 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2860, expected_value: N92000002, label: geography} + - {column: D, row: 2860, expected_value: All persons, label: sex} + - {column: E, row: 2860, expected_value: Employee, label: employment type} + - {column: J, row: 2860, expected_value: Value, label: measure} + - {column: L, row: 2861, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2862 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2862, expected_value: N92000002, label: geography} + - {column: D, row: 2862, expected_value: All persons, label: sex} + - {column: E, row: 2862, expected_value: Employee, label: employment type} + - {column: J, row: 2862, expected_value: Value, label: measure} + - {column: L, row: 2863, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2864 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2864, expected_value: N92000002, label: geography} + - {column: D, row: 2864, expected_value: All persons, label: sex} + - {column: E, row: 2864, expected_value: Employee, label: employment type} + - {column: J, row: 2864, expected_value: Value, label: measure} + - {column: L, row: 2865, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2866 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2866, expected_value: N92000002, label: geography} + - {column: D, row: 2866, expected_value: All persons, label: sex} + - {column: E, row: 2866, expected_value: Employee, label: employment type} + - {column: J, row: 2866, expected_value: Value, label: measure} + - {column: L, row: 2867, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2868 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2868, expected_value: N92000002, label: geography} + - {column: D, row: 2868, expected_value: All persons, label: sex} + - {column: E, row: 2868, expected_value: Employee, label: employment type} + - {column: J, row: 2868, expected_value: Value, label: measure} + - {column: L, row: 2869, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2870 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2870, expected_value: N92000002, label: geography} + - {column: D, row: 2870, expected_value: All persons, label: sex} + - {column: E, row: 2870, expected_value: Employee, label: employment type} + - {column: J, row: 2870, expected_value: Value, label: measure} + - {column: L, row: 2871, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2872 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2872, expected_value: N92000002, label: geography} + - {column: D, row: 2872, expected_value: All persons, label: sex} + - {column: E, row: 2872, expected_value: Employee, label: employment type} + - {column: J, row: 2872, expected_value: Value, label: measure} + - {column: L, row: 2873, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2874 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2874, expected_value: N92000002, label: geography} + - {column: D, row: 2874, expected_value: All persons, label: sex} + - {column: E, row: 2874, expected_value: Employee, label: employment type} + - {column: J, row: 2874, expected_value: Value, label: measure} + - {column: L, row: 2875, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2876 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2876, expected_value: N92000002, label: geography} + - {column: D, row: 2876, expected_value: All persons, label: sex} + - {column: E, row: 2876, expected_value: Employee, label: employment type} + - {column: J, row: 2876, expected_value: Value, label: measure} + - {column: L, row: 2877, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2878 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2878, expected_value: N92000002, label: geography} + - {column: D, row: 2878, expected_value: All persons, label: sex} + - {column: E, row: 2878, expected_value: Employee, label: employment type} + - {column: J, row: 2878, expected_value: Value, label: measure} + - {column: L, row: 2879, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2880 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2880, expected_value: N92000002, label: geography} + - {column: D, row: 2880, expected_value: All persons, label: sex} + - {column: E, row: 2880, expected_value: Employee, label: employment type} + - {column: J, row: 2880, expected_value: Value, label: measure} + - {column: L, row: 2881, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2811 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2811, expected_value: N92000002, label: geography} + - {column: D, row: 2811, expected_value: All persons, label: sex} + - {column: E, row: 2811, expected_value: Employee, label: employment type} + - {column: J, row: 2811, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2813 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2813, expected_value: N92000002, label: geography} + - {column: D, row: 2813, expected_value: All persons, label: sex} + - {column: E, row: 2813, expected_value: Employee, label: employment type} + - {column: J, row: 2813, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2815 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2815, expected_value: N92000002, label: geography} + - {column: D, row: 2815, expected_value: All persons, label: sex} + - {column: E, row: 2815, expected_value: Employee, label: employment type} + - {column: J, row: 2815, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2817 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2817, expected_value: N92000002, label: geography} + - {column: D, row: 2817, expected_value: All persons, label: sex} + - {column: E, row: 2817, expected_value: Employee, label: employment type} + - {column: J, row: 2817, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2819 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2819, expected_value: N92000002, label: geography} + - {column: D, row: 2819, expected_value: All persons, label: sex} + - {column: E, row: 2819, expected_value: Employee, label: employment type} + - {column: J, row: 2819, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2821 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2821, expected_value: N92000002, label: geography} + - {column: D, row: 2821, expected_value: All persons, label: sex} + - {column: E, row: 2821, expected_value: Employee, label: employment type} + - {column: J, row: 2821, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2823 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2823, expected_value: N92000002, label: geography} + - {column: D, row: 2823, expected_value: All persons, label: sex} + - {column: E, row: 2823, expected_value: Employee, label: employment type} + - {column: J, row: 2823, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2825 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2825, expected_value: N92000002, label: geography} + - {column: D, row: 2825, expected_value: All persons, label: sex} + - {column: E, row: 2825, expected_value: Employee, label: employment type} + - {column: J, row: 2825, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2827 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2827, expected_value: N92000002, label: geography} + - {column: D, row: 2827, expected_value: All persons, label: sex} + - {column: E, row: 2827, expected_value: Employee, label: employment type} + - {column: J, row: 2827, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2829 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2829, expected_value: N92000002, label: geography} + - {column: D, row: 2829, expected_value: All persons, label: sex} + - {column: E, row: 2829, expected_value: Employee, label: employment type} + - {column: J, row: 2829, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2831 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2831, expected_value: N92000002, label: geography} + - {column: D, row: 2831, expected_value: All persons, label: sex} + - {column: E, row: 2831, expected_value: Employee, label: employment type} + - {column: J, row: 2831, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2833 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2833, expected_value: N92000002, label: geography} + - {column: D, row: 2833, expected_value: All persons, label: sex} + - {column: E, row: 2833, expected_value: Employee, label: employment type} + - {column: J, row: 2833, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2835 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2835, expected_value: N92000002, label: geography} + - {column: D, row: 2835, expected_value: All persons, label: sex} + - {column: E, row: 2835, expected_value: Employee, label: employment type} + - {column: J, row: 2835, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2837 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2837, expected_value: N92000002, label: geography} + - {column: D, row: 2837, expected_value: All persons, label: sex} + - {column: E, row: 2837, expected_value: Employee, label: employment type} + - {column: J, row: 2837, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2839 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2839, expected_value: N92000002, label: geography} + - {column: D, row: 2839, expected_value: All persons, label: sex} + - {column: E, row: 2839, expected_value: Employee, label: employment type} + - {column: J, row: 2839, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2841 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2841, expected_value: N92000002, label: geography} + - {column: D, row: 2841, expected_value: All persons, label: sex} + - {column: E, row: 2841, expected_value: Employee, label: employment type} + - {column: J, row: 2841, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2843 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2843, expected_value: N92000002, label: geography} + - {column: D, row: 2843, expected_value: All persons, label: sex} + - {column: E, row: 2843, expected_value: Employee, label: employment type} + - {column: J, row: 2843, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2845 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2845, expected_value: N92000002, label: geography} + - {column: D, row: 2845, expected_value: All persons, label: sex} + - {column: E, row: 2845, expected_value: Employee, label: employment type} + - {column: J, row: 2845, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2847 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2847, expected_value: N92000002, label: geography} + - {column: D, row: 2847, expected_value: All persons, label: sex} + - {column: E, row: 2847, expected_value: Employee, label: employment type} + - {column: J, row: 2847, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2849 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2849, expected_value: N92000002, label: geography} + - {column: D, row: 2849, expected_value: All persons, label: sex} + - {column: E, row: 2849, expected_value: Employee, label: employment type} + - {column: J, row: 2849, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2851 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2851, expected_value: N92000002, label: geography} + - {column: D, row: 2851, expected_value: All persons, label: sex} + - {column: E, row: 2851, expected_value: Employee, label: employment type} + - {column: J, row: 2851, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2853 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2853, expected_value: N92000002, label: geography} + - {column: D, row: 2853, expected_value: All persons, label: sex} + - {column: E, row: 2853, expected_value: Employee, label: employment type} + - {column: J, row: 2853, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2855 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2855, expected_value: N92000002, label: geography} + - {column: D, row: 2855, expected_value: All persons, label: sex} + - {column: E, row: 2855, expected_value: Employee, label: employment type} + - {column: J, row: 2855, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2857 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2857, expected_value: N92000002, label: geography} + - {column: D, row: 2857, expected_value: All persons, label: sex} + - {column: E, row: 2857, expected_value: Employee, label: employment type} + - {column: J, row: 2857, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2859 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2859, expected_value: N92000002, label: geography} + - {column: D, row: 2859, expected_value: All persons, label: sex} + - {column: E, row: 2859, expected_value: Employee, label: employment type} + - {column: J, row: 2859, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2861 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2861, expected_value: N92000002, label: geography} + - {column: D, row: 2861, expected_value: All persons, label: sex} + - {column: E, row: 2861, expected_value: Employee, label: employment type} + - {column: J, row: 2861, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2865 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2865, expected_value: N92000002, label: geography} + - {column: D, row: 2865, expected_value: All persons, label: sex} + - {column: E, row: 2865, expected_value: Employee, label: employment type} + - {column: J, row: 2865, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2867 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2867, expected_value: N92000002, label: geography} + - {column: D, row: 2867, expected_value: All persons, label: sex} + - {column: E, row: 2867, expected_value: Employee, label: employment type} + - {column: J, row: 2867, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2869 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2869, expected_value: N92000002, label: geography} + - {column: D, row: 2869, expected_value: All persons, label: sex} + - {column: E, row: 2869, expected_value: Employee, label: employment type} + - {column: J, row: 2869, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2871 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2871, expected_value: N92000002, label: geography} + - {column: D, row: 2871, expected_value: All persons, label: sex} + - {column: E, row: 2871, expected_value: Employee, label: employment type} + - {column: J, row: 2871, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2873 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2873, expected_value: N92000002, label: geography} + - {column: D, row: 2873, expected_value: All persons, label: sex} + - {column: E, row: 2873, expected_value: Employee, label: employment type} + - {column: J, row: 2873, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2875 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2875, expected_value: N92000002, label: geography} + - {column: D, row: 2875, expected_value: All persons, label: sex} + - {column: E, row: 2875, expected_value: Employee, label: employment type} + - {column: J, row: 2875, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2877 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2877, expected_value: N92000002, label: geography} + - {column: D, row: 2877, expected_value: All persons, label: sex} + - {column: E, row: 2877, expected_value: Employee, label: employment type} + - {column: J, row: 2877, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2879 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2879, expected_value: N92000002, label: geography} + - {column: D, row: 2879, expected_value: All persons, label: sex} + - {column: E, row: 2879, expected_value: Employee, label: employment type} + - {column: J, row: 2879, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2881 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2881, expected_value: N92000002, label: geography} + - {column: D, row: 2881, expected_value: All persons, label: sex} + - {column: E, row: 2881, expected_value: Employee, label: employment type} + - {column: J, row: 2881, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3026 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3026, expected_value: N92000002, label: geography} + - {column: D, row: 3026, expected_value: All persons, label: sex} + - {column: E, row: 3026, expected_value: Self-employed, label: employment type} + - {column: J, row: 3026, expected_value: Value, label: measure} + - {column: L, row: 3027, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3028 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3028, expected_value: N92000002, label: geography} + - {column: D, row: 3028, expected_value: All persons, label: sex} + - {column: E, row: 3028, expected_value: Self-employed, label: employment type} + - {column: J, row: 3028, expected_value: Value, label: measure} + - {column: L, row: 3029, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3030 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3030, expected_value: N92000002, label: geography} + - {column: D, row: 3030, expected_value: All persons, label: sex} + - {column: E, row: 3030, expected_value: Self-employed, label: employment type} + - {column: J, row: 3030, expected_value: Value, label: measure} + - {column: L, row: 3031, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3032 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3032, expected_value: N92000002, label: geography} + - {column: D, row: 3032, expected_value: All persons, label: sex} + - {column: E, row: 3032, expected_value: Self-employed, label: employment type} + - {column: J, row: 3032, expected_value: Value, label: measure} + - {column: L, row: 3033, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3034 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3034, expected_value: N92000002, label: geography} + - {column: D, row: 3034, expected_value: All persons, label: sex} + - {column: E, row: 3034, expected_value: Self-employed, label: employment type} + - {column: J, row: 3034, expected_value: Value, label: measure} + - {column: L, row: 3035, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3036 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3036, expected_value: N92000002, label: geography} + - {column: D, row: 3036, expected_value: All persons, label: sex} + - {column: E, row: 3036, expected_value: Self-employed, label: employment type} + - {column: J, row: 3036, expected_value: Value, label: measure} + - {column: L, row: 3037, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3038 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3038, expected_value: N92000002, label: geography} + - {column: D, row: 3038, expected_value: All persons, label: sex} + - {column: E, row: 3038, expected_value: Self-employed, label: employment type} + - {column: J, row: 3038, expected_value: Value, label: measure} + - {column: L, row: 3039, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3040 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3040, expected_value: N92000002, label: geography} + - {column: D, row: 3040, expected_value: All persons, label: sex} + - {column: E, row: 3040, expected_value: Self-employed, label: employment type} + - {column: J, row: 3040, expected_value: Value, label: measure} + - {column: L, row: 3041, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3042 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3042, expected_value: N92000002, label: geography} + - {column: D, row: 3042, expected_value: All persons, label: sex} + - {column: E, row: 3042, expected_value: Self-employed, label: employment type} + - {column: J, row: 3042, expected_value: Value, label: measure} + - {column: L, row: 3043, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3044 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3044, expected_value: N92000002, label: geography} + - {column: D, row: 3044, expected_value: All persons, label: sex} + - {column: E, row: 3044, expected_value: Self-employed, label: employment type} + - {column: J, row: 3044, expected_value: Value, label: measure} + - {column: L, row: 3045, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3046 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3046, expected_value: N92000002, label: geography} + - {column: D, row: 3046, expected_value: All persons, label: sex} + - {column: E, row: 3046, expected_value: Self-employed, label: employment type} + - {column: J, row: 3046, expected_value: Value, label: measure} + - {column: L, row: 3047, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3048 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3048, expected_value: N92000002, label: geography} + - {column: D, row: 3048, expected_value: All persons, label: sex} + - {column: E, row: 3048, expected_value: Self-employed, label: employment type} + - {column: J, row: 3048, expected_value: Value, label: measure} + - {column: L, row: 3049, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3052 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3052, expected_value: N92000002, label: geography} + - {column: D, row: 3052, expected_value: All persons, label: sex} + - {column: E, row: 3052, expected_value: Self-employed, label: employment type} + - {column: J, row: 3052, expected_value: Value, label: measure} + - {column: L, row: 3053, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3054 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3054, expected_value: N92000002, label: geography} + - {column: D, row: 3054, expected_value: All persons, label: sex} + - {column: E, row: 3054, expected_value: Self-employed, label: employment type} + - {column: J, row: 3054, expected_value: Value, label: measure} + - {column: L, row: 3055, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3056 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3056, expected_value: N92000002, label: geography} + - {column: D, row: 3056, expected_value: All persons, label: sex} + - {column: E, row: 3056, expected_value: Self-employed, label: employment type} + - {column: J, row: 3056, expected_value: Value, label: measure} + - {column: L, row: 3057, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3058 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3058, expected_value: N92000002, label: geography} + - {column: D, row: 3058, expected_value: All persons, label: sex} + - {column: E, row: 3058, expected_value: Self-employed, label: employment type} + - {column: J, row: 3058, expected_value: Value, label: measure} + - {column: L, row: 3059, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3062 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3062, expected_value: N92000002, label: geography} + - {column: D, row: 3062, expected_value: All persons, label: sex} + - {column: E, row: 3062, expected_value: Self-employed, label: employment type} + - {column: J, row: 3062, expected_value: Value, label: measure} + - {column: L, row: 3063, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3064 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3064, expected_value: N92000002, label: geography} + - {column: D, row: 3064, expected_value: All persons, label: sex} + - {column: E, row: 3064, expected_value: Self-employed, label: employment type} + - {column: J, row: 3064, expected_value: Value, label: measure} + - {column: L, row: 3065, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3066 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3066, expected_value: N92000002, label: geography} + - {column: D, row: 3066, expected_value: All persons, label: sex} + - {column: E, row: 3066, expected_value: Self-employed, label: employment type} + - {column: J, row: 3066, expected_value: Value, label: measure} + - {column: L, row: 3067, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3068 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3068, expected_value: N92000002, label: geography} + - {column: D, row: 3068, expected_value: All persons, label: sex} + - {column: E, row: 3068, expected_value: Self-employed, label: employment type} + - {column: J, row: 3068, expected_value: Value, label: measure} + - {column: L, row: 3069, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3070 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3070, expected_value: N92000002, label: geography} + - {column: D, row: 3070, expected_value: All persons, label: sex} + - {column: E, row: 3070, expected_value: Self-employed, label: employment type} + - {column: J, row: 3070, expected_value: Value, label: measure} + - {column: L, row: 3071, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3072 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3072, expected_value: N92000002, label: geography} + - {column: D, row: 3072, expected_value: All persons, label: sex} + - {column: E, row: 3072, expected_value: Self-employed, label: employment type} + - {column: J, row: 3072, expected_value: Value, label: measure} + - {column: L, row: 3073, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3074 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3074, expected_value: N92000002, label: geography} + - {column: D, row: 3074, expected_value: All persons, label: sex} + - {column: E, row: 3074, expected_value: Self-employed, label: employment type} + - {column: J, row: 3074, expected_value: Value, label: measure} + - {column: L, row: 3075, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3076 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3076, expected_value: N92000002, label: geography} + - {column: D, row: 3076, expected_value: All persons, label: sex} + - {column: E, row: 3076, expected_value: Self-employed, label: employment type} + - {column: J, row: 3076, expected_value: Value, label: measure} + - {column: L, row: 3077, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3080 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3080, expected_value: N92000002, label: geography} + - {column: D, row: 3080, expected_value: All persons, label: sex} + - {column: E, row: 3080, expected_value: Self-employed, label: employment type} + - {column: J, row: 3080, expected_value: Value, label: measure} + - {column: L, row: 3081, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3082 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3082, expected_value: N92000002, label: geography} + - {column: D, row: 3082, expected_value: All persons, label: sex} + - {column: E, row: 3082, expected_value: Self-employed, label: employment type} + - {column: J, row: 3082, expected_value: Value, label: measure} + - {column: L, row: 3083, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3086 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3086, expected_value: N92000002, label: geography} + - {column: D, row: 3086, expected_value: All persons, label: sex} + - {column: E, row: 3086, expected_value: Self-employed, label: employment type} + - {column: J, row: 3086, expected_value: Value, label: measure} + - {column: L, row: 3087, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3088 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3088, expected_value: N92000002, label: geography} + - {column: D, row: 3088, expected_value: All persons, label: sex} + - {column: E, row: 3088, expected_value: Self-employed, label: employment type} + - {column: J, row: 3088, expected_value: Value, label: measure} + - {column: L, row: 3089, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3090 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3090, expected_value: N92000002, label: geography} + - {column: D, row: 3090, expected_value: All persons, label: sex} + - {column: E, row: 3090, expected_value: Self-employed, label: employment type} + - {column: J, row: 3090, expected_value: Value, label: measure} + - {column: L, row: 3091, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3092 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3092, expected_value: N92000002, label: geography} + - {column: D, row: 3092, expected_value: All persons, label: sex} + - {column: E, row: 3092, expected_value: Self-employed, label: employment type} + - {column: J, row: 3092, expected_value: Value, label: measure} + - {column: L, row: 3093, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3094 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3094, expected_value: N92000002, label: geography} + - {column: D, row: 3094, expected_value: All persons, label: sex} + - {column: E, row: 3094, expected_value: Self-employed, label: employment type} + - {column: J, row: 3094, expected_value: Value, label: measure} + - {column: L, row: 3095, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3096 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3096, expected_value: N92000002, label: geography} + - {column: D, row: 3096, expected_value: All persons, label: sex} + - {column: E, row: 3096, expected_value: Self-employed, label: employment type} + - {column: J, row: 3096, expected_value: Value, label: measure} + - {column: L, row: 3097, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3027 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3027, expected_value: N92000002, label: geography} + - {column: D, row: 3027, expected_value: All persons, label: sex} + - {column: E, row: 3027, expected_value: Self-employed, label: employment type} + - {column: J, row: 3027, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3029 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3029, expected_value: N92000002, label: geography} + - {column: D, row: 3029, expected_value: All persons, label: sex} + - {column: E, row: 3029, expected_value: Self-employed, label: employment type} + - {column: J, row: 3029, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3031 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3031, expected_value: N92000002, label: geography} + - {column: D, row: 3031, expected_value: All persons, label: sex} + - {column: E, row: 3031, expected_value: Self-employed, label: employment type} + - {column: J, row: 3031, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3033 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3033, expected_value: N92000002, label: geography} + - {column: D, row: 3033, expected_value: All persons, label: sex} + - {column: E, row: 3033, expected_value: Self-employed, label: employment type} + - {column: J, row: 3033, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3035 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3035, expected_value: N92000002, label: geography} + - {column: D, row: 3035, expected_value: All persons, label: sex} + - {column: E, row: 3035, expected_value: Self-employed, label: employment type} + - {column: J, row: 3035, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3037 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3037, expected_value: N92000002, label: geography} + - {column: D, row: 3037, expected_value: All persons, label: sex} + - {column: E, row: 3037, expected_value: Self-employed, label: employment type} + - {column: J, row: 3037, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3039 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3039, expected_value: N92000002, label: geography} + - {column: D, row: 3039, expected_value: All persons, label: sex} + - {column: E, row: 3039, expected_value: Self-employed, label: employment type} + - {column: J, row: 3039, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3043 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3043, expected_value: N92000002, label: geography} + - {column: D, row: 3043, expected_value: All persons, label: sex} + - {column: E, row: 3043, expected_value: Self-employed, label: employment type} + - {column: J, row: 3043, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3045 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3045, expected_value: N92000002, label: geography} + - {column: D, row: 3045, expected_value: All persons, label: sex} + - {column: E, row: 3045, expected_value: Self-employed, label: employment type} + - {column: J, row: 3045, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3053 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3053, expected_value: N92000002, label: geography} + - {column: D, row: 3053, expected_value: All persons, label: sex} + - {column: E, row: 3053, expected_value: Self-employed, label: employment type} + - {column: J, row: 3053, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3055 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3055, expected_value: N92000002, label: geography} + - {column: D, row: 3055, expected_value: All persons, label: sex} + - {column: E, row: 3055, expected_value: Self-employed, label: employment type} + - {column: J, row: 3055, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3063 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3063, expected_value: N92000002, label: geography} + - {column: D, row: 3063, expected_value: All persons, label: sex} + - {column: E, row: 3063, expected_value: Self-employed, label: employment type} + - {column: J, row: 3063, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3065 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3065, expected_value: N92000002, label: geography} + - {column: D, row: 3065, expected_value: All persons, label: sex} + - {column: E, row: 3065, expected_value: Self-employed, label: employment type} + - {column: J, row: 3065, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3067 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3067, expected_value: N92000002, label: geography} + - {column: D, row: 3067, expected_value: All persons, label: sex} + - {column: E, row: 3067, expected_value: Self-employed, label: employment type} + - {column: J, row: 3067, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3069 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3069, expected_value: N92000002, label: geography} + - {column: D, row: 3069, expected_value: All persons, label: sex} + - {column: E, row: 3069, expected_value: Self-employed, label: employment type} + - {column: J, row: 3069, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3073 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3073, expected_value: N92000002, label: geography} + - {column: D, row: 3073, expected_value: All persons, label: sex} + - {column: E, row: 3073, expected_value: Self-employed, label: employment type} + - {column: J, row: 3073, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3075 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3075, expected_value: N92000002, label: geography} + - {column: D, row: 3075, expected_value: All persons, label: sex} + - {column: E, row: 3075, expected_value: Self-employed, label: employment type} + - {column: J, row: 3075, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3077 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3077, expected_value: N92000002, label: geography} + - {column: D, row: 3077, expected_value: All persons, label: sex} + - {column: E, row: 3077, expected_value: Self-employed, label: employment type} + - {column: J, row: 3077, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3081 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3081, expected_value: N92000002, label: geography} + - {column: D, row: 3081, expected_value: All persons, label: sex} + - {column: E, row: 3081, expected_value: Self-employed, label: employment type} + - {column: J, row: 3081, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3083 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3083, expected_value: N92000002, label: geography} + - {column: D, row: 3083, expected_value: All persons, label: sex} + - {column: E, row: 3083, expected_value: Self-employed, label: employment type} + - {column: J, row: 3083, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3087 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3087, expected_value: N92000002, label: geography} + - {column: D, row: 3087, expected_value: All persons, label: sex} + - {column: E, row: 3087, expected_value: Self-employed, label: employment type} + - {column: J, row: 3087, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3091 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3091, expected_value: N92000002, label: geography} + - {column: D, row: 3091, expected_value: All persons, label: sex} + - {column: E, row: 3091, expected_value: Self-employed, label: employment type} + - {column: J, row: 3091, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3093 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3093, expected_value: N92000002, label: geography} + - {column: D, row: 3093, expected_value: All persons, label: sex} + - {column: E, row: 3093, expected_value: Self-employed, label: employment type} + - {column: J, row: 3093, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3095 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3095, expected_value: N92000002, label: geography} + - {column: D, row: 3095, expected_value: All persons, label: sex} + - {column: E, row: 3095, expected_value: Self-employed, label: employment type} + - {column: J, row: 3095, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2666 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2666, expected_value: N92000002, label: geography} + - {column: D, row: 2666, expected_value: Males, label: sex} + - {column: E, row: 2666, expected_value: Total, label: employment type} + - {column: J, row: 2666, expected_value: Value, label: measure} + - {column: L, row: 2667, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2668 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2668, expected_value: N92000002, label: geography} + - {column: D, row: 2668, expected_value: Males, label: sex} + - {column: E, row: 2668, expected_value: Total, label: employment type} + - {column: J, row: 2668, expected_value: Value, label: measure} + - {column: L, row: 2669, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2670 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2670, expected_value: N92000002, label: geography} + - {column: D, row: 2670, expected_value: Males, label: sex} + - {column: E, row: 2670, expected_value: Total, label: employment type} + - {column: J, row: 2670, expected_value: Value, label: measure} + - {column: L, row: 2671, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2672 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2672, expected_value: N92000002, label: geography} + - {column: D, row: 2672, expected_value: Males, label: sex} + - {column: E, row: 2672, expected_value: Total, label: employment type} + - {column: J, row: 2672, expected_value: Value, label: measure} + - {column: L, row: 2673, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2674 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2674, expected_value: N92000002, label: geography} + - {column: D, row: 2674, expected_value: Males, label: sex} + - {column: E, row: 2674, expected_value: Total, label: employment type} + - {column: J, row: 2674, expected_value: Value, label: measure} + - {column: L, row: 2675, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2676 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2676, expected_value: N92000002, label: geography} + - {column: D, row: 2676, expected_value: Males, label: sex} + - {column: E, row: 2676, expected_value: Total, label: employment type} + - {column: J, row: 2676, expected_value: Value, label: measure} + - {column: L, row: 2677, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2678 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2678, expected_value: N92000002, label: geography} + - {column: D, row: 2678, expected_value: Males, label: sex} + - {column: E, row: 2678, expected_value: Total, label: employment type} + - {column: J, row: 2678, expected_value: Value, label: measure} + - {column: L, row: 2679, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2680 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2680, expected_value: N92000002, label: geography} + - {column: D, row: 2680, expected_value: Males, label: sex} + - {column: E, row: 2680, expected_value: Total, label: employment type} + - {column: J, row: 2680, expected_value: Value, label: measure} + - {column: L, row: 2681, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2682 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2682, expected_value: N92000002, label: geography} + - {column: D, row: 2682, expected_value: Males, label: sex} + - {column: E, row: 2682, expected_value: Total, label: employment type} + - {column: J, row: 2682, expected_value: Value, label: measure} + - {column: L, row: 2683, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2684 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2684, expected_value: N92000002, label: geography} + - {column: D, row: 2684, expected_value: Males, label: sex} + - {column: E, row: 2684, expected_value: Total, label: employment type} + - {column: J, row: 2684, expected_value: Value, label: measure} + - {column: L, row: 2685, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2686 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2686, expected_value: N92000002, label: geography} + - {column: D, row: 2686, expected_value: Males, label: sex} + - {column: E, row: 2686, expected_value: Total, label: employment type} + - {column: J, row: 2686, expected_value: Value, label: measure} + - {column: L, row: 2687, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2688 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2688, expected_value: N92000002, label: geography} + - {column: D, row: 2688, expected_value: Males, label: sex} + - {column: E, row: 2688, expected_value: Total, label: employment type} + - {column: J, row: 2688, expected_value: Value, label: measure} + - {column: L, row: 2689, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2690 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2690, expected_value: N92000002, label: geography} + - {column: D, row: 2690, expected_value: Males, label: sex} + - {column: E, row: 2690, expected_value: Total, label: employment type} + - {column: J, row: 2690, expected_value: Value, label: measure} + - {column: L, row: 2691, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2692 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2692, expected_value: N92000002, label: geography} + - {column: D, row: 2692, expected_value: Males, label: sex} + - {column: E, row: 2692, expected_value: Total, label: employment type} + - {column: J, row: 2692, expected_value: Value, label: measure} + - {column: L, row: 2693, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2694 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2694, expected_value: N92000002, label: geography} + - {column: D, row: 2694, expected_value: Males, label: sex} + - {column: E, row: 2694, expected_value: Total, label: employment type} + - {column: J, row: 2694, expected_value: Value, label: measure} + - {column: L, row: 2695, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2696 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2696, expected_value: N92000002, label: geography} + - {column: D, row: 2696, expected_value: Males, label: sex} + - {column: E, row: 2696, expected_value: Total, label: employment type} + - {column: J, row: 2696, expected_value: Value, label: measure} + - {column: L, row: 2697, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2698 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2698, expected_value: N92000002, label: geography} + - {column: D, row: 2698, expected_value: Males, label: sex} + - {column: E, row: 2698, expected_value: Total, label: employment type} + - {column: J, row: 2698, expected_value: Value, label: measure} + - {column: L, row: 2699, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2700 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2700, expected_value: N92000002, label: geography} + - {column: D, row: 2700, expected_value: Males, label: sex} + - {column: E, row: 2700, expected_value: Total, label: employment type} + - {column: J, row: 2700, expected_value: Value, label: measure} + - {column: L, row: 2701, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2702 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2702, expected_value: N92000002, label: geography} + - {column: D, row: 2702, expected_value: Males, label: sex} + - {column: E, row: 2702, expected_value: Total, label: employment type} + - {column: J, row: 2702, expected_value: Value, label: measure} + - {column: L, row: 2703, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2704 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2704, expected_value: N92000002, label: geography} + - {column: D, row: 2704, expected_value: Males, label: sex} + - {column: E, row: 2704, expected_value: Total, label: employment type} + - {column: J, row: 2704, expected_value: Value, label: measure} + - {column: L, row: 2705, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2706 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2706, expected_value: N92000002, label: geography} + - {column: D, row: 2706, expected_value: Males, label: sex} + - {column: E, row: 2706, expected_value: Total, label: employment type} + - {column: J, row: 2706, expected_value: Value, label: measure} + - {column: L, row: 2707, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2708 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2708, expected_value: N92000002, label: geography} + - {column: D, row: 2708, expected_value: Males, label: sex} + - {column: E, row: 2708, expected_value: Total, label: employment type} + - {column: J, row: 2708, expected_value: Value, label: measure} + - {column: L, row: 2709, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2710 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2710, expected_value: N92000002, label: geography} + - {column: D, row: 2710, expected_value: Males, label: sex} + - {column: E, row: 2710, expected_value: Total, label: employment type} + - {column: J, row: 2710, expected_value: Value, label: measure} + - {column: L, row: 2711, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2712 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2712, expected_value: N92000002, label: geography} + - {column: D, row: 2712, expected_value: Males, label: sex} + - {column: E, row: 2712, expected_value: Total, label: employment type} + - {column: J, row: 2712, expected_value: Value, label: measure} + - {column: L, row: 2713, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2714 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2714, expected_value: N92000002, label: geography} + - {column: D, row: 2714, expected_value: Males, label: sex} + - {column: E, row: 2714, expected_value: Total, label: employment type} + - {column: J, row: 2714, expected_value: Value, label: measure} + - {column: L, row: 2715, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2716 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2716, expected_value: N92000002, label: geography} + - {column: D, row: 2716, expected_value: Males, label: sex} + - {column: E, row: 2716, expected_value: Total, label: employment type} + - {column: J, row: 2716, expected_value: Value, label: measure} + - {column: L, row: 2717, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2720 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2720, expected_value: N92000002, label: geography} + - {column: D, row: 2720, expected_value: Males, label: sex} + - {column: E, row: 2720, expected_value: Total, label: employment type} + - {column: J, row: 2720, expected_value: Value, label: measure} + - {column: L, row: 2721, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2722 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2722, expected_value: N92000002, label: geography} + - {column: D, row: 2722, expected_value: Males, label: sex} + - {column: E, row: 2722, expected_value: Total, label: employment type} + - {column: J, row: 2722, expected_value: Value, label: measure} + - {column: L, row: 2723, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2724 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2724, expected_value: N92000002, label: geography} + - {column: D, row: 2724, expected_value: Males, label: sex} + - {column: E, row: 2724, expected_value: Total, label: employment type} + - {column: J, row: 2724, expected_value: Value, label: measure} + - {column: L, row: 2725, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2726 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2726, expected_value: N92000002, label: geography} + - {column: D, row: 2726, expected_value: Males, label: sex} + - {column: E, row: 2726, expected_value: Total, label: employment type} + - {column: J, row: 2726, expected_value: Value, label: measure} + - {column: L, row: 2727, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2728 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2728, expected_value: N92000002, label: geography} + - {column: D, row: 2728, expected_value: Males, label: sex} + - {column: E, row: 2728, expected_value: Total, label: employment type} + - {column: J, row: 2728, expected_value: Value, label: measure} + - {column: L, row: 2729, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2730 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2730, expected_value: N92000002, label: geography} + - {column: D, row: 2730, expected_value: Males, label: sex} + - {column: E, row: 2730, expected_value: Total, label: employment type} + - {column: J, row: 2730, expected_value: Value, label: measure} + - {column: L, row: 2731, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2732 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2732, expected_value: N92000002, label: geography} + - {column: D, row: 2732, expected_value: Males, label: sex} + - {column: E, row: 2732, expected_value: Total, label: employment type} + - {column: J, row: 2732, expected_value: Value, label: measure} + - {column: L, row: 2733, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2734 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2734, expected_value: N92000002, label: geography} + - {column: D, row: 2734, expected_value: Males, label: sex} + - {column: E, row: 2734, expected_value: Total, label: employment type} + - {column: J, row: 2734, expected_value: Value, label: measure} + - {column: L, row: 2735, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2736 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2736, expected_value: N92000002, label: geography} + - {column: D, row: 2736, expected_value: Males, label: sex} + - {column: E, row: 2736, expected_value: Total, label: employment type} + - {column: J, row: 2736, expected_value: Value, label: measure} + - {column: L, row: 2737, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2667 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2667, expected_value: N92000002, label: geography} + - {column: D, row: 2667, expected_value: Males, label: sex} + - {column: E, row: 2667, expected_value: Total, label: employment type} + - {column: J, row: 2667, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2669 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2669, expected_value: N92000002, label: geography} + - {column: D, row: 2669, expected_value: Males, label: sex} + - {column: E, row: 2669, expected_value: Total, label: employment type} + - {column: J, row: 2669, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2671 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2671, expected_value: N92000002, label: geography} + - {column: D, row: 2671, expected_value: Males, label: sex} + - {column: E, row: 2671, expected_value: Total, label: employment type} + - {column: J, row: 2671, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2673 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2673, expected_value: N92000002, label: geography} + - {column: D, row: 2673, expected_value: Males, label: sex} + - {column: E, row: 2673, expected_value: Total, label: employment type} + - {column: J, row: 2673, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2675 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2675, expected_value: N92000002, label: geography} + - {column: D, row: 2675, expected_value: Males, label: sex} + - {column: E, row: 2675, expected_value: Total, label: employment type} + - {column: J, row: 2675, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2677 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2677, expected_value: N92000002, label: geography} + - {column: D, row: 2677, expected_value: Males, label: sex} + - {column: E, row: 2677, expected_value: Total, label: employment type} + - {column: J, row: 2677, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2679 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2679, expected_value: N92000002, label: geography} + - {column: D, row: 2679, expected_value: Males, label: sex} + - {column: E, row: 2679, expected_value: Total, label: employment type} + - {column: J, row: 2679, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2681 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2681, expected_value: N92000002, label: geography} + - {column: D, row: 2681, expected_value: Males, label: sex} + - {column: E, row: 2681, expected_value: Total, label: employment type} + - {column: J, row: 2681, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2683 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2683, expected_value: N92000002, label: geography} + - {column: D, row: 2683, expected_value: Males, label: sex} + - {column: E, row: 2683, expected_value: Total, label: employment type} + - {column: J, row: 2683, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2685 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2685, expected_value: N92000002, label: geography} + - {column: D, row: 2685, expected_value: Males, label: sex} + - {column: E, row: 2685, expected_value: Total, label: employment type} + - {column: J, row: 2685, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2687 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2687, expected_value: N92000002, label: geography} + - {column: D, row: 2687, expected_value: Males, label: sex} + - {column: E, row: 2687, expected_value: Total, label: employment type} + - {column: J, row: 2687, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2689 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2689, expected_value: N92000002, label: geography} + - {column: D, row: 2689, expected_value: Males, label: sex} + - {column: E, row: 2689, expected_value: Total, label: employment type} + - {column: J, row: 2689, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2691 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2691, expected_value: N92000002, label: geography} + - {column: D, row: 2691, expected_value: Males, label: sex} + - {column: E, row: 2691, expected_value: Total, label: employment type} + - {column: J, row: 2691, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2693 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2693, expected_value: N92000002, label: geography} + - {column: D, row: 2693, expected_value: Males, label: sex} + - {column: E, row: 2693, expected_value: Total, label: employment type} + - {column: J, row: 2693, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2695 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2695, expected_value: N92000002, label: geography} + - {column: D, row: 2695, expected_value: Males, label: sex} + - {column: E, row: 2695, expected_value: Total, label: employment type} + - {column: J, row: 2695, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2697 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2697, expected_value: N92000002, label: geography} + - {column: D, row: 2697, expected_value: Males, label: sex} + - {column: E, row: 2697, expected_value: Total, label: employment type} + - {column: J, row: 2697, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2699 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2699, expected_value: N92000002, label: geography} + - {column: D, row: 2699, expected_value: Males, label: sex} + - {column: E, row: 2699, expected_value: Total, label: employment type} + - {column: J, row: 2699, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2703 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2703, expected_value: N92000002, label: geography} + - {column: D, row: 2703, expected_value: Males, label: sex} + - {column: E, row: 2703, expected_value: Total, label: employment type} + - {column: J, row: 2703, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2705 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2705, expected_value: N92000002, label: geography} + - {column: D, row: 2705, expected_value: Males, label: sex} + - {column: E, row: 2705, expected_value: Total, label: employment type} + - {column: J, row: 2705, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2707 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2707, expected_value: N92000002, label: geography} + - {column: D, row: 2707, expected_value: Males, label: sex} + - {column: E, row: 2707, expected_value: Total, label: employment type} + - {column: J, row: 2707, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2709 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2709, expected_value: N92000002, label: geography} + - {column: D, row: 2709, expected_value: Males, label: sex} + - {column: E, row: 2709, expected_value: Total, label: employment type} + - {column: J, row: 2709, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2711 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2711, expected_value: N92000002, label: geography} + - {column: D, row: 2711, expected_value: Males, label: sex} + - {column: E, row: 2711, expected_value: Total, label: employment type} + - {column: J, row: 2711, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2713 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2713, expected_value: N92000002, label: geography} + - {column: D, row: 2713, expected_value: Males, label: sex} + - {column: E, row: 2713, expected_value: Total, label: employment type} + - {column: J, row: 2713, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2715 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2715, expected_value: N92000002, label: geography} + - {column: D, row: 2715, expected_value: Males, label: sex} + - {column: E, row: 2715, expected_value: Total, label: employment type} + - {column: J, row: 2715, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2717 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2717, expected_value: N92000002, label: geography} + - {column: D, row: 2717, expected_value: Males, label: sex} + - {column: E, row: 2717, expected_value: Total, label: employment type} + - {column: J, row: 2717, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2721 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2721, expected_value: N92000002, label: geography} + - {column: D, row: 2721, expected_value: Males, label: sex} + - {column: E, row: 2721, expected_value: Total, label: employment type} + - {column: J, row: 2721, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2723 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2723, expected_value: N92000002, label: geography} + - {column: D, row: 2723, expected_value: Males, label: sex} + - {column: E, row: 2723, expected_value: Total, label: employment type} + - {column: J, row: 2723, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2725 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2725, expected_value: N92000002, label: geography} + - {column: D, row: 2725, expected_value: Males, label: sex} + - {column: E, row: 2725, expected_value: Total, label: employment type} + - {column: J, row: 2725, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2727 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2727, expected_value: N92000002, label: geography} + - {column: D, row: 2727, expected_value: Males, label: sex} + - {column: E, row: 2727, expected_value: Total, label: employment type} + - {column: J, row: 2727, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2729 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2729, expected_value: N92000002, label: geography} + - {column: D, row: 2729, expected_value: Males, label: sex} + - {column: E, row: 2729, expected_value: Total, label: employment type} + - {column: J, row: 2729, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2731 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2731, expected_value: N92000002, label: geography} + - {column: D, row: 2731, expected_value: Males, label: sex} + - {column: E, row: 2731, expected_value: Total, label: employment type} + - {column: J, row: 2731, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2733 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2733, expected_value: N92000002, label: geography} + - {column: D, row: 2733, expected_value: Males, label: sex} + - {column: E, row: 2733, expected_value: Total, label: employment type} + - {column: J, row: 2733, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2735 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2735, expected_value: N92000002, label: geography} + - {column: D, row: 2735, expected_value: Males, label: sex} + - {column: E, row: 2735, expected_value: Total, label: employment type} + - {column: J, row: 2735, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2737 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2737, expected_value: N92000002, label: geography} + - {column: D, row: 2737, expected_value: Males, label: sex} + - {column: E, row: 2737, expected_value: Total, label: employment type} + - {column: J, row: 2737, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2882 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2882, expected_value: N92000002, label: geography} + - {column: D, row: 2882, expected_value: Males, label: sex} + - {column: E, row: 2882, expected_value: Employee, label: employment type} + - {column: J, row: 2882, expected_value: Value, label: measure} + - {column: L, row: 2883, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2884 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2884, expected_value: N92000002, label: geography} + - {column: D, row: 2884, expected_value: Males, label: sex} + - {column: E, row: 2884, expected_value: Employee, label: employment type} + - {column: J, row: 2884, expected_value: Value, label: measure} + - {column: L, row: 2885, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2886 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2886, expected_value: N92000002, label: geography} + - {column: D, row: 2886, expected_value: Males, label: sex} + - {column: E, row: 2886, expected_value: Employee, label: employment type} + - {column: J, row: 2886, expected_value: Value, label: measure} + - {column: L, row: 2887, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2888 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2888, expected_value: N92000002, label: geography} + - {column: D, row: 2888, expected_value: Males, label: sex} + - {column: E, row: 2888, expected_value: Employee, label: employment type} + - {column: J, row: 2888, expected_value: Value, label: measure} + - {column: L, row: 2889, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2890 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2890, expected_value: N92000002, label: geography} + - {column: D, row: 2890, expected_value: Males, label: sex} + - {column: E, row: 2890, expected_value: Employee, label: employment type} + - {column: J, row: 2890, expected_value: Value, label: measure} + - {column: L, row: 2891, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2892 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2892, expected_value: N92000002, label: geography} + - {column: D, row: 2892, expected_value: Males, label: sex} + - {column: E, row: 2892, expected_value: Employee, label: employment type} + - {column: J, row: 2892, expected_value: Value, label: measure} + - {column: L, row: 2893, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2894 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2894, expected_value: N92000002, label: geography} + - {column: D, row: 2894, expected_value: Males, label: sex} + - {column: E, row: 2894, expected_value: Employee, label: employment type} + - {column: J, row: 2894, expected_value: Value, label: measure} + - {column: L, row: 2895, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2896 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2896, expected_value: N92000002, label: geography} + - {column: D, row: 2896, expected_value: Males, label: sex} + - {column: E, row: 2896, expected_value: Employee, label: employment type} + - {column: J, row: 2896, expected_value: Value, label: measure} + - {column: L, row: 2897, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2898 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2898, expected_value: N92000002, label: geography} + - {column: D, row: 2898, expected_value: Males, label: sex} + - {column: E, row: 2898, expected_value: Employee, label: employment type} + - {column: J, row: 2898, expected_value: Value, label: measure} + - {column: L, row: 2899, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2900 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2900, expected_value: N92000002, label: geography} + - {column: D, row: 2900, expected_value: Males, label: sex} + - {column: E, row: 2900, expected_value: Employee, label: employment type} + - {column: J, row: 2900, expected_value: Value, label: measure} + - {column: L, row: 2901, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2902 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2902, expected_value: N92000002, label: geography} + - {column: D, row: 2902, expected_value: Males, label: sex} + - {column: E, row: 2902, expected_value: Employee, label: employment type} + - {column: J, row: 2902, expected_value: Value, label: measure} + - {column: L, row: 2903, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2904 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2904, expected_value: N92000002, label: geography} + - {column: D, row: 2904, expected_value: Males, label: sex} + - {column: E, row: 2904, expected_value: Employee, label: employment type} + - {column: J, row: 2904, expected_value: Value, label: measure} + - {column: L, row: 2905, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2906 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2906, expected_value: N92000002, label: geography} + - {column: D, row: 2906, expected_value: Males, label: sex} + - {column: E, row: 2906, expected_value: Employee, label: employment type} + - {column: J, row: 2906, expected_value: Value, label: measure} + - {column: L, row: 2907, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2908 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2908, expected_value: N92000002, label: geography} + - {column: D, row: 2908, expected_value: Males, label: sex} + - {column: E, row: 2908, expected_value: Employee, label: employment type} + - {column: J, row: 2908, expected_value: Value, label: measure} + - {column: L, row: 2909, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2910 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2910, expected_value: N92000002, label: geography} + - {column: D, row: 2910, expected_value: Males, label: sex} + - {column: E, row: 2910, expected_value: Employee, label: employment type} + - {column: J, row: 2910, expected_value: Value, label: measure} + - {column: L, row: 2911, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2912 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2912, expected_value: N92000002, label: geography} + - {column: D, row: 2912, expected_value: Males, label: sex} + - {column: E, row: 2912, expected_value: Employee, label: employment type} + - {column: J, row: 2912, expected_value: Value, label: measure} + - {column: L, row: 2913, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2914 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2914, expected_value: N92000002, label: geography} + - {column: D, row: 2914, expected_value: Males, label: sex} + - {column: E, row: 2914, expected_value: Employee, label: employment type} + - {column: J, row: 2914, expected_value: Value, label: measure} + - {column: L, row: 2915, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2916 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2916, expected_value: N92000002, label: geography} + - {column: D, row: 2916, expected_value: Males, label: sex} + - {column: E, row: 2916, expected_value: Employee, label: employment type} + - {column: J, row: 2916, expected_value: Value, label: measure} + - {column: L, row: 2917, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2918 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2918, expected_value: N92000002, label: geography} + - {column: D, row: 2918, expected_value: Males, label: sex} + - {column: E, row: 2918, expected_value: Employee, label: employment type} + - {column: J, row: 2918, expected_value: Value, label: measure} + - {column: L, row: 2919, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2920 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2920, expected_value: N92000002, label: geography} + - {column: D, row: 2920, expected_value: Males, label: sex} + - {column: E, row: 2920, expected_value: Employee, label: employment type} + - {column: J, row: 2920, expected_value: Value, label: measure} + - {column: L, row: 2921, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2922 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2922, expected_value: N92000002, label: geography} + - {column: D, row: 2922, expected_value: Males, label: sex} + - {column: E, row: 2922, expected_value: Employee, label: employment type} + - {column: J, row: 2922, expected_value: Value, label: measure} + - {column: L, row: 2923, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2924 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2924, expected_value: N92000002, label: geography} + - {column: D, row: 2924, expected_value: Males, label: sex} + - {column: E, row: 2924, expected_value: Employee, label: employment type} + - {column: J, row: 2924, expected_value: Value, label: measure} + - {column: L, row: 2925, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2926 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2926, expected_value: N92000002, label: geography} + - {column: D, row: 2926, expected_value: Males, label: sex} + - {column: E, row: 2926, expected_value: Employee, label: employment type} + - {column: J, row: 2926, expected_value: Value, label: measure} + - {column: L, row: 2927, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2928 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2928, expected_value: N92000002, label: geography} + - {column: D, row: 2928, expected_value: Males, label: sex} + - {column: E, row: 2928, expected_value: Employee, label: employment type} + - {column: J, row: 2928, expected_value: Value, label: measure} + - {column: L, row: 2929, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2930 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2930, expected_value: N92000002, label: geography} + - {column: D, row: 2930, expected_value: Males, label: sex} + - {column: E, row: 2930, expected_value: Employee, label: employment type} + - {column: J, row: 2930, expected_value: Value, label: measure} + - {column: L, row: 2931, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2932 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2932, expected_value: N92000002, label: geography} + - {column: D, row: 2932, expected_value: Males, label: sex} + - {column: E, row: 2932, expected_value: Employee, label: employment type} + - {column: J, row: 2932, expected_value: Value, label: measure} + - {column: L, row: 2933, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2936 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2936, expected_value: N92000002, label: geography} + - {column: D, row: 2936, expected_value: Males, label: sex} + - {column: E, row: 2936, expected_value: Employee, label: employment type} + - {column: J, row: 2936, expected_value: Value, label: measure} + - {column: L, row: 2937, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2938 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2938, expected_value: N92000002, label: geography} + - {column: D, row: 2938, expected_value: Males, label: sex} + - {column: E, row: 2938, expected_value: Employee, label: employment type} + - {column: J, row: 2938, expected_value: Value, label: measure} + - {column: L, row: 2939, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2940 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2940, expected_value: N92000002, label: geography} + - {column: D, row: 2940, expected_value: Males, label: sex} + - {column: E, row: 2940, expected_value: Employee, label: employment type} + - {column: J, row: 2940, expected_value: Value, label: measure} + - {column: L, row: 2941, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2942 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2942, expected_value: N92000002, label: geography} + - {column: D, row: 2942, expected_value: Males, label: sex} + - {column: E, row: 2942, expected_value: Employee, label: employment type} + - {column: J, row: 2942, expected_value: Value, label: measure} + - {column: L, row: 2943, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2944 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2944, expected_value: N92000002, label: geography} + - {column: D, row: 2944, expected_value: Males, label: sex} + - {column: E, row: 2944, expected_value: Employee, label: employment type} + - {column: J, row: 2944, expected_value: Value, label: measure} + - {column: L, row: 2945, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2946 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2946, expected_value: N92000002, label: geography} + - {column: D, row: 2946, expected_value: Males, label: sex} + - {column: E, row: 2946, expected_value: Employee, label: employment type} + - {column: J, row: 2946, expected_value: Value, label: measure} + - {column: L, row: 2947, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2948 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2948, expected_value: N92000002, label: geography} + - {column: D, row: 2948, expected_value: Males, label: sex} + - {column: E, row: 2948, expected_value: Employee, label: employment type} + - {column: J, row: 2948, expected_value: Value, label: measure} + - {column: L, row: 2949, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2950 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2950, expected_value: N92000002, label: geography} + - {column: D, row: 2950, expected_value: Males, label: sex} + - {column: E, row: 2950, expected_value: Employee, label: employment type} + - {column: J, row: 2950, expected_value: Value, label: measure} + - {column: L, row: 2951, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2952 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2952, expected_value: N92000002, label: geography} + - {column: D, row: 2952, expected_value: Males, label: sex} + - {column: E, row: 2952, expected_value: Employee, label: employment type} + - {column: J, row: 2952, expected_value: Value, label: measure} + - {column: L, row: 2953, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2883 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2883, expected_value: N92000002, label: geography} + - {column: D, row: 2883, expected_value: Males, label: sex} + - {column: E, row: 2883, expected_value: Employee, label: employment type} + - {column: J, row: 2883, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2885 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2885, expected_value: N92000002, label: geography} + - {column: D, row: 2885, expected_value: Males, label: sex} + - {column: E, row: 2885, expected_value: Employee, label: employment type} + - {column: J, row: 2885, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2887 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2887, expected_value: N92000002, label: geography} + - {column: D, row: 2887, expected_value: Males, label: sex} + - {column: E, row: 2887, expected_value: Employee, label: employment type} + - {column: J, row: 2887, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2889 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2889, expected_value: N92000002, label: geography} + - {column: D, row: 2889, expected_value: Males, label: sex} + - {column: E, row: 2889, expected_value: Employee, label: employment type} + - {column: J, row: 2889, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2891 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2891, expected_value: N92000002, label: geography} + - {column: D, row: 2891, expected_value: Males, label: sex} + - {column: E, row: 2891, expected_value: Employee, label: employment type} + - {column: J, row: 2891, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2893 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2893, expected_value: N92000002, label: geography} + - {column: D, row: 2893, expected_value: Males, label: sex} + - {column: E, row: 2893, expected_value: Employee, label: employment type} + - {column: J, row: 2893, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2895 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2895, expected_value: N92000002, label: geography} + - {column: D, row: 2895, expected_value: Males, label: sex} + - {column: E, row: 2895, expected_value: Employee, label: employment type} + - {column: J, row: 2895, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2897 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2897, expected_value: N92000002, label: geography} + - {column: D, row: 2897, expected_value: Males, label: sex} + - {column: E, row: 2897, expected_value: Employee, label: employment type} + - {column: J, row: 2897, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2899 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2899, expected_value: N92000002, label: geography} + - {column: D, row: 2899, expected_value: Males, label: sex} + - {column: E, row: 2899, expected_value: Employee, label: employment type} + - {column: J, row: 2899, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2901 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2901, expected_value: N92000002, label: geography} + - {column: D, row: 2901, expected_value: Males, label: sex} + - {column: E, row: 2901, expected_value: Employee, label: employment type} + - {column: J, row: 2901, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2903 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2903, expected_value: N92000002, label: geography} + - {column: D, row: 2903, expected_value: Males, label: sex} + - {column: E, row: 2903, expected_value: Employee, label: employment type} + - {column: J, row: 2903, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2905 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2905, expected_value: N92000002, label: geography} + - {column: D, row: 2905, expected_value: Males, label: sex} + - {column: E, row: 2905, expected_value: Employee, label: employment type} + - {column: J, row: 2905, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2907 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2907, expected_value: N92000002, label: geography} + - {column: D, row: 2907, expected_value: Males, label: sex} + - {column: E, row: 2907, expected_value: Employee, label: employment type} + - {column: J, row: 2907, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2909 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2909, expected_value: N92000002, label: geography} + - {column: D, row: 2909, expected_value: Males, label: sex} + - {column: E, row: 2909, expected_value: Employee, label: employment type} + - {column: J, row: 2909, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2911 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2911, expected_value: N92000002, label: geography} + - {column: D, row: 2911, expected_value: Males, label: sex} + - {column: E, row: 2911, expected_value: Employee, label: employment type} + - {column: J, row: 2911, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2913 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2913, expected_value: N92000002, label: geography} + - {column: D, row: 2913, expected_value: Males, label: sex} + - {column: E, row: 2913, expected_value: Employee, label: employment type} + - {column: J, row: 2913, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2915 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2915, expected_value: N92000002, label: geography} + - {column: D, row: 2915, expected_value: Males, label: sex} + - {column: E, row: 2915, expected_value: Employee, label: employment type} + - {column: J, row: 2915, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2919 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2919, expected_value: N92000002, label: geography} + - {column: D, row: 2919, expected_value: Males, label: sex} + - {column: E, row: 2919, expected_value: Employee, label: employment type} + - {column: J, row: 2919, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2921 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2921, expected_value: N92000002, label: geography} + - {column: D, row: 2921, expected_value: Males, label: sex} + - {column: E, row: 2921, expected_value: Employee, label: employment type} + - {column: J, row: 2921, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2923 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2923, expected_value: N92000002, label: geography} + - {column: D, row: 2923, expected_value: Males, label: sex} + - {column: E, row: 2923, expected_value: Employee, label: employment type} + - {column: J, row: 2923, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2925 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2925, expected_value: N92000002, label: geography} + - {column: D, row: 2925, expected_value: Males, label: sex} + - {column: E, row: 2925, expected_value: Employee, label: employment type} + - {column: J, row: 2925, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2927 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2927, expected_value: N92000002, label: geography} + - {column: D, row: 2927, expected_value: Males, label: sex} + - {column: E, row: 2927, expected_value: Employee, label: employment type} + - {column: J, row: 2927, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2929 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2929, expected_value: N92000002, label: geography} + - {column: D, row: 2929, expected_value: Males, label: sex} + - {column: E, row: 2929, expected_value: Employee, label: employment type} + - {column: J, row: 2929, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2931 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2931, expected_value: N92000002, label: geography} + - {column: D, row: 2931, expected_value: Males, label: sex} + - {column: E, row: 2931, expected_value: Employee, label: employment type} + - {column: J, row: 2931, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2933 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2933, expected_value: N92000002, label: geography} + - {column: D, row: 2933, expected_value: Males, label: sex} + - {column: E, row: 2933, expected_value: Employee, label: employment type} + - {column: J, row: 2933, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2937 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2937, expected_value: N92000002, label: geography} + - {column: D, row: 2937, expected_value: Males, label: sex} + - {column: E, row: 2937, expected_value: Employee, label: employment type} + - {column: J, row: 2937, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2939 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2939, expected_value: N92000002, label: geography} + - {column: D, row: 2939, expected_value: Males, label: sex} + - {column: E, row: 2939, expected_value: Employee, label: employment type} + - {column: J, row: 2939, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2941 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2941, expected_value: N92000002, label: geography} + - {column: D, row: 2941, expected_value: Males, label: sex} + - {column: E, row: 2941, expected_value: Employee, label: employment type} + - {column: J, row: 2941, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2943 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2943, expected_value: N92000002, label: geography} + - {column: D, row: 2943, expected_value: Males, label: sex} + - {column: E, row: 2943, expected_value: Employee, label: employment type} + - {column: J, row: 2943, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2945 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2945, expected_value: N92000002, label: geography} + - {column: D, row: 2945, expected_value: Males, label: sex} + - {column: E, row: 2945, expected_value: Employee, label: employment type} + - {column: J, row: 2945, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2947 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2947, expected_value: N92000002, label: geography} + - {column: D, row: 2947, expected_value: Males, label: sex} + - {column: E, row: 2947, expected_value: Employee, label: employment type} + - {column: J, row: 2947, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2949 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2949, expected_value: N92000002, label: geography} + - {column: D, row: 2949, expected_value: Males, label: sex} + - {column: E, row: 2949, expected_value: Employee, label: employment type} + - {column: J, row: 2949, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2951 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2951, expected_value: N92000002, label: geography} + - {column: D, row: 2951, expected_value: Males, label: sex} + - {column: E, row: 2951, expected_value: Employee, label: employment type} + - {column: J, row: 2951, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2953 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2953, expected_value: N92000002, label: geography} + - {column: D, row: 2953, expected_value: Males, label: sex} + - {column: E, row: 2953, expected_value: Employee, label: employment type} + - {column: J, row: 2953, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3098 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3098, expected_value: N92000002, label: geography} + - {column: D, row: 3098, expected_value: Males, label: sex} + - {column: E, row: 3098, expected_value: Self-employed, label: employment type} + - {column: J, row: 3098, expected_value: Value, label: measure} + - {column: L, row: 3099, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3100 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3100, expected_value: N92000002, label: geography} + - {column: D, row: 3100, expected_value: Males, label: sex} + - {column: E, row: 3100, expected_value: Self-employed, label: employment type} + - {column: J, row: 3100, expected_value: Value, label: measure} + - {column: L, row: 3101, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3102 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3102, expected_value: N92000002, label: geography} + - {column: D, row: 3102, expected_value: Males, label: sex} + - {column: E, row: 3102, expected_value: Self-employed, label: employment type} + - {column: J, row: 3102, expected_value: Value, label: measure} + - {column: L, row: 3103, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3104 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3104, expected_value: N92000002, label: geography} + - {column: D, row: 3104, expected_value: Males, label: sex} + - {column: E, row: 3104, expected_value: Self-employed, label: employment type} + - {column: J, row: 3104, expected_value: Value, label: measure} + - {column: L, row: 3105, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3106 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3106, expected_value: N92000002, label: geography} + - {column: D, row: 3106, expected_value: Males, label: sex} + - {column: E, row: 3106, expected_value: Self-employed, label: employment type} + - {column: J, row: 3106, expected_value: Value, label: measure} + - {column: L, row: 3107, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3108 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3108, expected_value: N92000002, label: geography} + - {column: D, row: 3108, expected_value: Males, label: sex} + - {column: E, row: 3108, expected_value: Self-employed, label: employment type} + - {column: J, row: 3108, expected_value: Value, label: measure} + - {column: L, row: 3109, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3110 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3110, expected_value: N92000002, label: geography} + - {column: D, row: 3110, expected_value: Males, label: sex} + - {column: E, row: 3110, expected_value: Self-employed, label: employment type} + - {column: J, row: 3110, expected_value: Value, label: measure} + - {column: L, row: 3111, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3114 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3114, expected_value: N92000002, label: geography} + - {column: D, row: 3114, expected_value: Males, label: sex} + - {column: E, row: 3114, expected_value: Self-employed, label: employment type} + - {column: J, row: 3114, expected_value: Value, label: measure} + - {column: L, row: 3115, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3116 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3116, expected_value: N92000002, label: geography} + - {column: D, row: 3116, expected_value: Males, label: sex} + - {column: E, row: 3116, expected_value: Self-employed, label: employment type} + - {column: J, row: 3116, expected_value: Value, label: measure} + - {column: L, row: 3117, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3118 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3118, expected_value: N92000002, label: geography} + - {column: D, row: 3118, expected_value: Males, label: sex} + - {column: E, row: 3118, expected_value: Self-employed, label: employment type} + - {column: J, row: 3118, expected_value: Value, label: measure} + - {column: L, row: 3119, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3124 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3124, expected_value: N92000002, label: geography} + - {column: D, row: 3124, expected_value: Males, label: sex} + - {column: E, row: 3124, expected_value: Self-employed, label: employment type} + - {column: J, row: 3124, expected_value: Value, label: measure} + - {column: L, row: 3125, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3126 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3126, expected_value: N92000002, label: geography} + - {column: D, row: 3126, expected_value: Males, label: sex} + - {column: E, row: 3126, expected_value: Self-employed, label: employment type} + - {column: J, row: 3126, expected_value: Value, label: measure} + - {column: L, row: 3127, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3134 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3134, expected_value: N92000002, label: geography} + - {column: D, row: 3134, expected_value: Males, label: sex} + - {column: E, row: 3134, expected_value: Self-employed, label: employment type} + - {column: J, row: 3134, expected_value: Value, label: measure} + - {column: L, row: 3135, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3136 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3136, expected_value: N92000002, label: geography} + - {column: D, row: 3136, expected_value: Males, label: sex} + - {column: E, row: 3136, expected_value: Self-employed, label: employment type} + - {column: J, row: 3136, expected_value: Value, label: measure} + - {column: L, row: 3137, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3138 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3138, expected_value: N92000002, label: geography} + - {column: D, row: 3138, expected_value: Males, label: sex} + - {column: E, row: 3138, expected_value: Self-employed, label: employment type} + - {column: J, row: 3138, expected_value: Value, label: measure} + - {column: L, row: 3139, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3140 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3140, expected_value: N92000002, label: geography} + - {column: D, row: 3140, expected_value: Males, label: sex} + - {column: E, row: 3140, expected_value: Self-employed, label: employment type} + - {column: J, row: 3140, expected_value: Value, label: measure} + - {column: L, row: 3141, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3142 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3142, expected_value: N92000002, label: geography} + - {column: D, row: 3142, expected_value: Males, label: sex} + - {column: E, row: 3142, expected_value: Self-employed, label: employment type} + - {column: J, row: 3142, expected_value: Value, label: measure} + - {column: L, row: 3143, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3144 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3144, expected_value: N92000002, label: geography} + - {column: D, row: 3144, expected_value: Males, label: sex} + - {column: E, row: 3144, expected_value: Self-employed, label: employment type} + - {column: J, row: 3144, expected_value: Value, label: measure} + - {column: L, row: 3145, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3148 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3148, expected_value: N92000002, label: geography} + - {column: D, row: 3148, expected_value: Males, label: sex} + - {column: E, row: 3148, expected_value: Self-employed, label: employment type} + - {column: J, row: 3148, expected_value: Value, label: measure} + - {column: L, row: 3149, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3152 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3152, expected_value: N92000002, label: geography} + - {column: D, row: 3152, expected_value: Males, label: sex} + - {column: E, row: 3152, expected_value: Self-employed, label: employment type} + - {column: J, row: 3152, expected_value: Value, label: measure} + - {column: L, row: 3153, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3154 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3154, expected_value: N92000002, label: geography} + - {column: D, row: 3154, expected_value: Males, label: sex} + - {column: E, row: 3154, expected_value: Self-employed, label: employment type} + - {column: J, row: 3154, expected_value: Value, label: measure} + - {column: L, row: 3155, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3158 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3158, expected_value: N92000002, label: geography} + - {column: D, row: 3158, expected_value: Males, label: sex} + - {column: E, row: 3158, expected_value: Self-employed, label: employment type} + - {column: J, row: 3158, expected_value: Value, label: measure} + - {column: L, row: 3159, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3160 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3160, expected_value: N92000002, label: geography} + - {column: D, row: 3160, expected_value: Males, label: sex} + - {column: E, row: 3160, expected_value: Self-employed, label: employment type} + - {column: J, row: 3160, expected_value: Value, label: measure} + - {column: L, row: 3161, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3162 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3162, expected_value: N92000002, label: geography} + - {column: D, row: 3162, expected_value: Males, label: sex} + - {column: E, row: 3162, expected_value: Self-employed, label: employment type} + - {column: J, row: 3162, expected_value: Value, label: measure} + - {column: L, row: 3163, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3164 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3164, expected_value: N92000002, label: geography} + - {column: D, row: 3164, expected_value: Males, label: sex} + - {column: E, row: 3164, expected_value: Self-employed, label: employment type} + - {column: J, row: 3164, expected_value: Value, label: measure} + - {column: L, row: 3165, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3166 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3166, expected_value: N92000002, label: geography} + - {column: D, row: 3166, expected_value: Males, label: sex} + - {column: E, row: 3166, expected_value: Self-employed, label: employment type} + - {column: J, row: 3166, expected_value: Value, label: measure} + - {column: L, row: 3167, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3168 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3168, expected_value: N92000002, label: geography} + - {column: D, row: 3168, expected_value: Males, label: sex} + - {column: E, row: 3168, expected_value: Self-employed, label: employment type} + - {column: J, row: 3168, expected_value: Value, label: measure} + - {column: L, row: 3169, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3099 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3099, expected_value: N92000002, label: geography} + - {column: D, row: 3099, expected_value: Males, label: sex} + - {column: E, row: 3099, expected_value: Self-employed, label: employment type} + - {column: J, row: 3099, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3101 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3101, expected_value: N92000002, label: geography} + - {column: D, row: 3101, expected_value: Males, label: sex} + - {column: E, row: 3101, expected_value: Self-employed, label: employment type} + - {column: J, row: 3101, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3103 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3103, expected_value: N92000002, label: geography} + - {column: D, row: 3103, expected_value: Males, label: sex} + - {column: E, row: 3103, expected_value: Self-employed, label: employment type} + - {column: J, row: 3103, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3105 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3105, expected_value: N92000002, label: geography} + - {column: D, row: 3105, expected_value: Males, label: sex} + - {column: E, row: 3105, expected_value: Self-employed, label: employment type} + - {column: J, row: 3105, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3107 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3107, expected_value: N92000002, label: geography} + - {column: D, row: 3107, expected_value: Males, label: sex} + - {column: E, row: 3107, expected_value: Self-employed, label: employment type} + - {column: J, row: 3107, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3109 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3109, expected_value: N92000002, label: geography} + - {column: D, row: 3109, expected_value: Males, label: sex} + - {column: E, row: 3109, expected_value: Self-employed, label: employment type} + - {column: J, row: 3109, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3115 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3115, expected_value: N92000002, label: geography} + - {column: D, row: 3115, expected_value: Males, label: sex} + - {column: E, row: 3115, expected_value: Self-employed, label: employment type} + - {column: J, row: 3115, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3117 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3117, expected_value: N92000002, label: geography} + - {column: D, row: 3117, expected_value: Males, label: sex} + - {column: E, row: 3117, expected_value: Self-employed, label: employment type} + - {column: J, row: 3117, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3125 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3125, expected_value: N92000002, label: geography} + - {column: D, row: 3125, expected_value: Males, label: sex} + - {column: E, row: 3125, expected_value: Self-employed, label: employment type} + - {column: J, row: 3125, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3127 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3127, expected_value: N92000002, label: geography} + - {column: D, row: 3127, expected_value: Males, label: sex} + - {column: E, row: 3127, expected_value: Self-employed, label: employment type} + - {column: J, row: 3127, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3135 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3135, expected_value: N92000002, label: geography} + - {column: D, row: 3135, expected_value: Males, label: sex} + - {column: E, row: 3135, expected_value: Self-employed, label: employment type} + - {column: J, row: 3135, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3137 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3137, expected_value: N92000002, label: geography} + - {column: D, row: 3137, expected_value: Males, label: sex} + - {column: E, row: 3137, expected_value: Self-employed, label: employment type} + - {column: J, row: 3137, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3139 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3139, expected_value: N92000002, label: geography} + - {column: D, row: 3139, expected_value: Males, label: sex} + - {column: E, row: 3139, expected_value: Self-employed, label: employment type} + - {column: J, row: 3139, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3141 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3141, expected_value: N92000002, label: geography} + - {column: D, row: 3141, expected_value: Males, label: sex} + - {column: E, row: 3141, expected_value: Self-employed, label: employment type} + - {column: J, row: 3141, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3153 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3153, expected_value: N92000002, label: geography} + - {column: D, row: 3153, expected_value: Males, label: sex} + - {column: E, row: 3153, expected_value: Self-employed, label: employment type} + - {column: J, row: 3153, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3155 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3155, expected_value: N92000002, label: geography} + - {column: D, row: 3155, expected_value: Males, label: sex} + - {column: E, row: 3155, expected_value: Self-employed, label: employment type} + - {column: J, row: 3155, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3159 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3159, expected_value: N92000002, label: geography} + - {column: D, row: 3159, expected_value: Males, label: sex} + - {column: E, row: 3159, expected_value: Self-employed, label: employment type} + - {column: J, row: 3159, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3163 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3163, expected_value: N92000002, label: geography} + - {column: D, row: 3163, expected_value: Males, label: sex} + - {column: E, row: 3163, expected_value: Self-employed, label: employment type} + - {column: J, row: 3163, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3165 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3165, expected_value: N92000002, label: geography} + - {column: D, row: 3165, expected_value: Males, label: sex} + - {column: E, row: 3165, expected_value: Self-employed, label: employment type} + - {column: J, row: 3165, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2738 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2738, expected_value: N92000002, label: geography} + - {column: D, row: 2738, expected_value: Females, label: sex} + - {column: E, row: 2738, expected_value: Total, label: employment type} + - {column: J, row: 2738, expected_value: Value, label: measure} + - {column: L, row: 2739, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2740 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2740, expected_value: N92000002, label: geography} + - {column: D, row: 2740, expected_value: Females, label: sex} + - {column: E, row: 2740, expected_value: Total, label: employment type} + - {column: J, row: 2740, expected_value: Value, label: measure} + - {column: L, row: 2741, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2742 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2742, expected_value: N92000002, label: geography} + - {column: D, row: 2742, expected_value: Females, label: sex} + - {column: E, row: 2742, expected_value: Total, label: employment type} + - {column: J, row: 2742, expected_value: Value, label: measure} + - {column: L, row: 2743, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2744 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2744, expected_value: N92000002, label: geography} + - {column: D, row: 2744, expected_value: Females, label: sex} + - {column: E, row: 2744, expected_value: Total, label: employment type} + - {column: J, row: 2744, expected_value: Value, label: measure} + - {column: L, row: 2745, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2746 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2746, expected_value: N92000002, label: geography} + - {column: D, row: 2746, expected_value: Females, label: sex} + - {column: E, row: 2746, expected_value: Total, label: employment type} + - {column: J, row: 2746, expected_value: Value, label: measure} + - {column: L, row: 2747, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2748 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2748, expected_value: N92000002, label: geography} + - {column: D, row: 2748, expected_value: Females, label: sex} + - {column: E, row: 2748, expected_value: Total, label: employment type} + - {column: J, row: 2748, expected_value: Value, label: measure} + - {column: L, row: 2749, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2750 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2750, expected_value: N92000002, label: geography} + - {column: D, row: 2750, expected_value: Females, label: sex} + - {column: E, row: 2750, expected_value: Total, label: employment type} + - {column: J, row: 2750, expected_value: Value, label: measure} + - {column: L, row: 2751, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2752 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2752, expected_value: N92000002, label: geography} + - {column: D, row: 2752, expected_value: Females, label: sex} + - {column: E, row: 2752, expected_value: Total, label: employment type} + - {column: J, row: 2752, expected_value: Value, label: measure} + - {column: L, row: 2753, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2754 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2754, expected_value: N92000002, label: geography} + - {column: D, row: 2754, expected_value: Females, label: sex} + - {column: E, row: 2754, expected_value: Total, label: employment type} + - {column: J, row: 2754, expected_value: Value, label: measure} + - {column: L, row: 2755, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2756 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2756, expected_value: N92000002, label: geography} + - {column: D, row: 2756, expected_value: Females, label: sex} + - {column: E, row: 2756, expected_value: Total, label: employment type} + - {column: J, row: 2756, expected_value: Value, label: measure} + - {column: L, row: 2757, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2758 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2758, expected_value: N92000002, label: geography} + - {column: D, row: 2758, expected_value: Females, label: sex} + - {column: E, row: 2758, expected_value: Total, label: employment type} + - {column: J, row: 2758, expected_value: Value, label: measure} + - {column: L, row: 2759, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2760 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2760, expected_value: N92000002, label: geography} + - {column: D, row: 2760, expected_value: Females, label: sex} + - {column: E, row: 2760, expected_value: Total, label: employment type} + - {column: J, row: 2760, expected_value: Value, label: measure} + - {column: L, row: 2761, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2762 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2762, expected_value: N92000002, label: geography} + - {column: D, row: 2762, expected_value: Females, label: sex} + - {column: E, row: 2762, expected_value: Total, label: employment type} + - {column: J, row: 2762, expected_value: Value, label: measure} + - {column: L, row: 2763, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2764 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2764, expected_value: N92000002, label: geography} + - {column: D, row: 2764, expected_value: Females, label: sex} + - {column: E, row: 2764, expected_value: Total, label: employment type} + - {column: J, row: 2764, expected_value: Value, label: measure} + - {column: L, row: 2765, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2766 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2766, expected_value: N92000002, label: geography} + - {column: D, row: 2766, expected_value: Females, label: sex} + - {column: E, row: 2766, expected_value: Total, label: employment type} + - {column: J, row: 2766, expected_value: Value, label: measure} + - {column: L, row: 2767, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2768 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2768, expected_value: N92000002, label: geography} + - {column: D, row: 2768, expected_value: Females, label: sex} + - {column: E, row: 2768, expected_value: Total, label: employment type} + - {column: J, row: 2768, expected_value: Value, label: measure} + - {column: L, row: 2769, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2770 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2770, expected_value: N92000002, label: geography} + - {column: D, row: 2770, expected_value: Females, label: sex} + - {column: E, row: 2770, expected_value: Total, label: employment type} + - {column: J, row: 2770, expected_value: Value, label: measure} + - {column: L, row: 2771, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2772 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2772, expected_value: N92000002, label: geography} + - {column: D, row: 2772, expected_value: Females, label: sex} + - {column: E, row: 2772, expected_value: Total, label: employment type} + - {column: J, row: 2772, expected_value: Value, label: measure} + - {column: L, row: 2773, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2774 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2774, expected_value: N92000002, label: geography} + - {column: D, row: 2774, expected_value: Females, label: sex} + - {column: E, row: 2774, expected_value: Total, label: employment type} + - {column: J, row: 2774, expected_value: Value, label: measure} + - {column: L, row: 2775, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2776 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2776, expected_value: N92000002, label: geography} + - {column: D, row: 2776, expected_value: Females, label: sex} + - {column: E, row: 2776, expected_value: Total, label: employment type} + - {column: J, row: 2776, expected_value: Value, label: measure} + - {column: L, row: 2777, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2778 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2778, expected_value: N92000002, label: geography} + - {column: D, row: 2778, expected_value: Females, label: sex} + - {column: E, row: 2778, expected_value: Total, label: employment type} + - {column: J, row: 2778, expected_value: Value, label: measure} + - {column: L, row: 2779, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2782 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2782, expected_value: N92000002, label: geography} + - {column: D, row: 2782, expected_value: Females, label: sex} + - {column: E, row: 2782, expected_value: Total, label: employment type} + - {column: J, row: 2782, expected_value: Value, label: measure} + - {column: L, row: 2783, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2784 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2784, expected_value: N92000002, label: geography} + - {column: D, row: 2784, expected_value: Females, label: sex} + - {column: E, row: 2784, expected_value: Total, label: employment type} + - {column: J, row: 2784, expected_value: Value, label: measure} + - {column: L, row: 2785, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2786 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2786, expected_value: N92000002, label: geography} + - {column: D, row: 2786, expected_value: Females, label: sex} + - {column: E, row: 2786, expected_value: Total, label: employment type} + - {column: J, row: 2786, expected_value: Value, label: measure} + - {column: L, row: 2787, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2788 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2788, expected_value: N92000002, label: geography} + - {column: D, row: 2788, expected_value: Females, label: sex} + - {column: E, row: 2788, expected_value: Total, label: employment type} + - {column: J, row: 2788, expected_value: Value, label: measure} + - {column: L, row: 2789, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2792 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2792, expected_value: N92000002, label: geography} + - {column: D, row: 2792, expected_value: Females, label: sex} + - {column: E, row: 2792, expected_value: Total, label: employment type} + - {column: J, row: 2792, expected_value: Value, label: measure} + - {column: L, row: 2793, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2794 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2794, expected_value: N92000002, label: geography} + - {column: D, row: 2794, expected_value: Females, label: sex} + - {column: E, row: 2794, expected_value: Total, label: employment type} + - {column: J, row: 2794, expected_value: Value, label: measure} + - {column: L, row: 2795, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2796 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2796, expected_value: N92000002, label: geography} + - {column: D, row: 2796, expected_value: Females, label: sex} + - {column: E, row: 2796, expected_value: Total, label: employment type} + - {column: J, row: 2796, expected_value: Value, label: measure} + - {column: L, row: 2797, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2798 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2798, expected_value: N92000002, label: geography} + - {column: D, row: 2798, expected_value: Females, label: sex} + - {column: E, row: 2798, expected_value: Total, label: employment type} + - {column: J, row: 2798, expected_value: Value, label: measure} + - {column: L, row: 2799, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2800 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2800, expected_value: N92000002, label: geography} + - {column: D, row: 2800, expected_value: Females, label: sex} + - {column: E, row: 2800, expected_value: Total, label: employment type} + - {column: J, row: 2800, expected_value: Value, label: measure} + - {column: L, row: 2801, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2802 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2802, expected_value: N92000002, label: geography} + - {column: D, row: 2802, expected_value: Females, label: sex} + - {column: E, row: 2802, expected_value: Total, label: employment type} + - {column: J, row: 2802, expected_value: Value, label: measure} + - {column: L, row: 2803, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2804 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2804, expected_value: N92000002, label: geography} + - {column: D, row: 2804, expected_value: Females, label: sex} + - {column: E, row: 2804, expected_value: Total, label: employment type} + - {column: J, row: 2804, expected_value: Value, label: measure} + - {column: L, row: 2805, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2806 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2806, expected_value: N92000002, label: geography} + - {column: D, row: 2806, expected_value: Females, label: sex} + - {column: E, row: 2806, expected_value: Total, label: employment type} + - {column: J, row: 2806, expected_value: Value, label: measure} + - {column: L, row: 2807, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2808 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2808, expected_value: N92000002, label: geography} + - {column: D, row: 2808, expected_value: Females, label: sex} + - {column: E, row: 2808, expected_value: Total, label: employment type} + - {column: J, row: 2808, expected_value: Value, label: measure} + - {column: L, row: 2809, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2739 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2739, expected_value: N92000002, label: geography} + - {column: D, row: 2739, expected_value: Females, label: sex} + - {column: E, row: 2739, expected_value: Total, label: employment type} + - {column: J, row: 2739, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2741 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2741, expected_value: N92000002, label: geography} + - {column: D, row: 2741, expected_value: Females, label: sex} + - {column: E, row: 2741, expected_value: Total, label: employment type} + - {column: J, row: 2741, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2743 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2743, expected_value: N92000002, label: geography} + - {column: D, row: 2743, expected_value: Females, label: sex} + - {column: E, row: 2743, expected_value: Total, label: employment type} + - {column: J, row: 2743, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2745 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2745, expected_value: N92000002, label: geography} + - {column: D, row: 2745, expected_value: Females, label: sex} + - {column: E, row: 2745, expected_value: Total, label: employment type} + - {column: J, row: 2745, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2747 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2747, expected_value: N92000002, label: geography} + - {column: D, row: 2747, expected_value: Females, label: sex} + - {column: E, row: 2747, expected_value: Total, label: employment type} + - {column: J, row: 2747, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2749 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2749, expected_value: N92000002, label: geography} + - {column: D, row: 2749, expected_value: Females, label: sex} + - {column: E, row: 2749, expected_value: Total, label: employment type} + - {column: J, row: 2749, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2751 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2751, expected_value: N92000002, label: geography} + - {column: D, row: 2751, expected_value: Females, label: sex} + - {column: E, row: 2751, expected_value: Total, label: employment type} + - {column: J, row: 2751, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2753 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2753, expected_value: N92000002, label: geography} + - {column: D, row: 2753, expected_value: Females, label: sex} + - {column: E, row: 2753, expected_value: Total, label: employment type} + - {column: J, row: 2753, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2755 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2755, expected_value: N92000002, label: geography} + - {column: D, row: 2755, expected_value: Females, label: sex} + - {column: E, row: 2755, expected_value: Total, label: employment type} + - {column: J, row: 2755, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2757 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2757, expected_value: N92000002, label: geography} + - {column: D, row: 2757, expected_value: Females, label: sex} + - {column: E, row: 2757, expected_value: Total, label: employment type} + - {column: J, row: 2757, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2759 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2759, expected_value: N92000002, label: geography} + - {column: D, row: 2759, expected_value: Females, label: sex} + - {column: E, row: 2759, expected_value: Total, label: employment type} + - {column: J, row: 2759, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2761 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2761, expected_value: N92000002, label: geography} + - {column: D, row: 2761, expected_value: Females, label: sex} + - {column: E, row: 2761, expected_value: Total, label: employment type} + - {column: J, row: 2761, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2765 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2765, expected_value: N92000002, label: geography} + - {column: D, row: 2765, expected_value: Females, label: sex} + - {column: E, row: 2765, expected_value: Total, label: employment type} + - {column: J, row: 2765, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2767 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2767, expected_value: N92000002, label: geography} + - {column: D, row: 2767, expected_value: Females, label: sex} + - {column: E, row: 2767, expected_value: Total, label: employment type} + - {column: J, row: 2767, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2769 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2769, expected_value: N92000002, label: geography} + - {column: D, row: 2769, expected_value: Females, label: sex} + - {column: E, row: 2769, expected_value: Total, label: employment type} + - {column: J, row: 2769, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2771 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2771, expected_value: N92000002, label: geography} + - {column: D, row: 2771, expected_value: Females, label: sex} + - {column: E, row: 2771, expected_value: Total, label: employment type} + - {column: J, row: 2771, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2773 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2773, expected_value: N92000002, label: geography} + - {column: D, row: 2773, expected_value: Females, label: sex} + - {column: E, row: 2773, expected_value: Total, label: employment type} + - {column: J, row: 2773, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2775 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2775, expected_value: N92000002, label: geography} + - {column: D, row: 2775, expected_value: Females, label: sex} + - {column: E, row: 2775, expected_value: Total, label: employment type} + - {column: J, row: 2775, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2783 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2783, expected_value: N92000002, label: geography} + - {column: D, row: 2783, expected_value: Females, label: sex} + - {column: E, row: 2783, expected_value: Total, label: employment type} + - {column: J, row: 2783, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2785 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2785, expected_value: N92000002, label: geography} + - {column: D, row: 2785, expected_value: Females, label: sex} + - {column: E, row: 2785, expected_value: Total, label: employment type} + - {column: J, row: 2785, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2787 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2787, expected_value: N92000002, label: geography} + - {column: D, row: 2787, expected_value: Females, label: sex} + - {column: E, row: 2787, expected_value: Total, label: employment type} + - {column: J, row: 2787, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2789 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2789, expected_value: N92000002, label: geography} + - {column: D, row: 2789, expected_value: Females, label: sex} + - {column: E, row: 2789, expected_value: Total, label: employment type} + - {column: J, row: 2789, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2793 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2793, expected_value: N92000002, label: geography} + - {column: D, row: 2793, expected_value: Females, label: sex} + - {column: E, row: 2793, expected_value: Total, label: employment type} + - {column: J, row: 2793, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2795 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2795, expected_value: N92000002, label: geography} + - {column: D, row: 2795, expected_value: Females, label: sex} + - {column: E, row: 2795, expected_value: Total, label: employment type} + - {column: J, row: 2795, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2797 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2797, expected_value: N92000002, label: geography} + - {column: D, row: 2797, expected_value: Females, label: sex} + - {column: E, row: 2797, expected_value: Total, label: employment type} + - {column: J, row: 2797, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2799 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2799, expected_value: N92000002, label: geography} + - {column: D, row: 2799, expected_value: Females, label: sex} + - {column: E, row: 2799, expected_value: Total, label: employment type} + - {column: J, row: 2799, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2801 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2801, expected_value: N92000002, label: geography} + - {column: D, row: 2801, expected_value: Females, label: sex} + - {column: E, row: 2801, expected_value: Total, label: employment type} + - {column: J, row: 2801, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2805 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2805, expected_value: N92000002, label: geography} + - {column: D, row: 2805, expected_value: Females, label: sex} + - {column: E, row: 2805, expected_value: Total, label: employment type} + - {column: J, row: 2805, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2807 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2807, expected_value: N92000002, label: geography} + - {column: D, row: 2807, expected_value: Females, label: sex} + - {column: E, row: 2807, expected_value: Total, label: employment type} + - {column: J, row: 2807, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2809 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2809, expected_value: N92000002, label: geography} + - {column: D, row: 2809, expected_value: Females, label: sex} + - {column: E, row: 2809, expected_value: Total, label: employment type} + - {column: J, row: 2809, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2954 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2954, expected_value: N92000002, label: geography} + - {column: D, row: 2954, expected_value: Females, label: sex} + - {column: E, row: 2954, expected_value: Employee, label: employment type} + - {column: J, row: 2954, expected_value: Value, label: measure} + - {column: L, row: 2955, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2956 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2956, expected_value: N92000002, label: geography} + - {column: D, row: 2956, expected_value: Females, label: sex} + - {column: E, row: 2956, expected_value: Employee, label: employment type} + - {column: J, row: 2956, expected_value: Value, label: measure} + - {column: L, row: 2957, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2958 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2958, expected_value: N92000002, label: geography} + - {column: D, row: 2958, expected_value: Females, label: sex} + - {column: E, row: 2958, expected_value: Employee, label: employment type} + - {column: J, row: 2958, expected_value: Value, label: measure} + - {column: L, row: 2959, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2960 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2960, expected_value: N92000002, label: geography} + - {column: D, row: 2960, expected_value: Females, label: sex} + - {column: E, row: 2960, expected_value: Employee, label: employment type} + - {column: J, row: 2960, expected_value: Value, label: measure} + - {column: L, row: 2961, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2962 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2962, expected_value: N92000002, label: geography} + - {column: D, row: 2962, expected_value: Females, label: sex} + - {column: E, row: 2962, expected_value: Employee, label: employment type} + - {column: J, row: 2962, expected_value: Value, label: measure} + - {column: L, row: 2963, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2964 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2964, expected_value: N92000002, label: geography} + - {column: D, row: 2964, expected_value: Females, label: sex} + - {column: E, row: 2964, expected_value: Employee, label: employment type} + - {column: J, row: 2964, expected_value: Value, label: measure} + - {column: L, row: 2965, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2966 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2966, expected_value: N92000002, label: geography} + - {column: D, row: 2966, expected_value: Females, label: sex} + - {column: E, row: 2966, expected_value: Employee, label: employment type} + - {column: J, row: 2966, expected_value: Value, label: measure} + - {column: L, row: 2967, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2968 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2968, expected_value: N92000002, label: geography} + - {column: D, row: 2968, expected_value: Females, label: sex} + - {column: E, row: 2968, expected_value: Employee, label: employment type} + - {column: J, row: 2968, expected_value: Value, label: measure} + - {column: L, row: 2969, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2970 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2970, expected_value: N92000002, label: geography} + - {column: D, row: 2970, expected_value: Females, label: sex} + - {column: E, row: 2970, expected_value: Employee, label: employment type} + - {column: J, row: 2970, expected_value: Value, label: measure} + - {column: L, row: 2971, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2972 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2972, expected_value: N92000002, label: geography} + - {column: D, row: 2972, expected_value: Females, label: sex} + - {column: E, row: 2972, expected_value: Employee, label: employment type} + - {column: J, row: 2972, expected_value: Value, label: measure} + - {column: L, row: 2973, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2974 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2974, expected_value: N92000002, label: geography} + - {column: D, row: 2974, expected_value: Females, label: sex} + - {column: E, row: 2974, expected_value: Employee, label: employment type} + - {column: J, row: 2974, expected_value: Value, label: measure} + - {column: L, row: 2975, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2976 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2976, expected_value: N92000002, label: geography} + - {column: D, row: 2976, expected_value: Females, label: sex} + - {column: E, row: 2976, expected_value: Employee, label: employment type} + - {column: J, row: 2976, expected_value: Value, label: measure} + - {column: L, row: 2977, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2978 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2978, expected_value: N92000002, label: geography} + - {column: D, row: 2978, expected_value: Females, label: sex} + - {column: E, row: 2978, expected_value: Employee, label: employment type} + - {column: J, row: 2978, expected_value: Value, label: measure} + - {column: L, row: 2979, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2980 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2980, expected_value: N92000002, label: geography} + - {column: D, row: 2980, expected_value: Females, label: sex} + - {column: E, row: 2980, expected_value: Employee, label: employment type} + - {column: J, row: 2980, expected_value: Value, label: measure} + - {column: L, row: 2981, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2982 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2982, expected_value: N92000002, label: geography} + - {column: D, row: 2982, expected_value: Females, label: sex} + - {column: E, row: 2982, expected_value: Employee, label: employment type} + - {column: J, row: 2982, expected_value: Value, label: measure} + - {column: L, row: 2983, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2984 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2984, expected_value: N92000002, label: geography} + - {column: D, row: 2984, expected_value: Females, label: sex} + - {column: E, row: 2984, expected_value: Employee, label: employment type} + - {column: J, row: 2984, expected_value: Value, label: measure} + - {column: L, row: 2985, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2986 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2986, expected_value: N92000002, label: geography} + - {column: D, row: 2986, expected_value: Females, label: sex} + - {column: E, row: 2986, expected_value: Employee, label: employment type} + - {column: J, row: 2986, expected_value: Value, label: measure} + - {column: L, row: 2987, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2988 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2988, expected_value: N92000002, label: geography} + - {column: D, row: 2988, expected_value: Females, label: sex} + - {column: E, row: 2988, expected_value: Employee, label: employment type} + - {column: J, row: 2988, expected_value: Value, label: measure} + - {column: L, row: 2989, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2990 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2990, expected_value: N92000002, label: geography} + - {column: D, row: 2990, expected_value: Females, label: sex} + - {column: E, row: 2990, expected_value: Employee, label: employment type} + - {column: J, row: 2990, expected_value: Value, label: measure} + - {column: L, row: 2991, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2994 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2994, expected_value: N92000002, label: geography} + - {column: D, row: 2994, expected_value: Females, label: sex} + - {column: E, row: 2994, expected_value: Employee, label: employment type} + - {column: J, row: 2994, expected_value: Value, label: measure} + - {column: L, row: 2995, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2998 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2998, expected_value: N92000002, label: geography} + - {column: D, row: 2998, expected_value: Females, label: sex} + - {column: E, row: 2998, expected_value: Employee, label: employment type} + - {column: J, row: 2998, expected_value: Value, label: measure} + - {column: L, row: 2999, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3000 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3000, expected_value: N92000002, label: geography} + - {column: D, row: 3000, expected_value: Females, label: sex} + - {column: E, row: 3000, expected_value: Employee, label: employment type} + - {column: J, row: 3000, expected_value: Value, label: measure} + - {column: L, row: 3001, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3002 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3002, expected_value: N92000002, label: geography} + - {column: D, row: 3002, expected_value: Females, label: sex} + - {column: E, row: 3002, expected_value: Employee, label: employment type} + - {column: J, row: 3002, expected_value: Value, label: measure} + - {column: L, row: 3003, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3004 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3004, expected_value: N92000002, label: geography} + - {column: D, row: 3004, expected_value: Females, label: sex} + - {column: E, row: 3004, expected_value: Employee, label: employment type} + - {column: J, row: 3004, expected_value: Value, label: measure} + - {column: L, row: 3005, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3008 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3008, expected_value: N92000002, label: geography} + - {column: D, row: 3008, expected_value: Females, label: sex} + - {column: E, row: 3008, expected_value: Employee, label: employment type} + - {column: J, row: 3008, expected_value: Value, label: measure} + - {column: L, row: 3009, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3010 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3010, expected_value: N92000002, label: geography} + - {column: D, row: 3010, expected_value: Females, label: sex} + - {column: E, row: 3010, expected_value: Employee, label: employment type} + - {column: J, row: 3010, expected_value: Value, label: measure} + - {column: L, row: 3011, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3012 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3012, expected_value: N92000002, label: geography} + - {column: D, row: 3012, expected_value: Females, label: sex} + - {column: E, row: 3012, expected_value: Employee, label: employment type} + - {column: J, row: 3012, expected_value: Value, label: measure} + - {column: L, row: 3013, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3014 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3014, expected_value: N92000002, label: geography} + - {column: D, row: 3014, expected_value: Females, label: sex} + - {column: E, row: 3014, expected_value: Employee, label: employment type} + - {column: J, row: 3014, expected_value: Value, label: measure} + - {column: L, row: 3015, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3016 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3016, expected_value: N92000002, label: geography} + - {column: D, row: 3016, expected_value: Females, label: sex} + - {column: E, row: 3016, expected_value: Employee, label: employment type} + - {column: J, row: 3016, expected_value: Value, label: measure} + - {column: L, row: 3017, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3018 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3018, expected_value: N92000002, label: geography} + - {column: D, row: 3018, expected_value: Females, label: sex} + - {column: E, row: 3018, expected_value: Employee, label: employment type} + - {column: J, row: 3018, expected_value: Value, label: measure} + - {column: L, row: 3019, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3020 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3020, expected_value: N92000002, label: geography} + - {column: D, row: 3020, expected_value: Females, label: sex} + - {column: E, row: 3020, expected_value: Employee, label: employment type} + - {column: J, row: 3020, expected_value: Value, label: measure} + - {column: L, row: 3021, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3022 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3022, expected_value: N92000002, label: geography} + - {column: D, row: 3022, expected_value: Females, label: sex} + - {column: E, row: 3022, expected_value: Employee, label: employment type} + - {column: J, row: 3022, expected_value: Value, label: measure} + - {column: L, row: 3023, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3024 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3024, expected_value: N92000002, label: geography} + - {column: D, row: 3024, expected_value: Females, label: sex} + - {column: E, row: 3024, expected_value: Employee, label: employment type} + - {column: J, row: 3024, expected_value: Value, label: measure} + - {column: L, row: 3025, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2955 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2955, expected_value: N92000002, label: geography} + - {column: D, row: 2955, expected_value: Females, label: sex} + - {column: E, row: 2955, expected_value: Employee, label: employment type} + - {column: J, row: 2955, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2957 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2957, expected_value: N92000002, label: geography} + - {column: D, row: 2957, expected_value: Females, label: sex} + - {column: E, row: 2957, expected_value: Employee, label: employment type} + - {column: J, row: 2957, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2959 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2959, expected_value: N92000002, label: geography} + - {column: D, row: 2959, expected_value: Females, label: sex} + - {column: E, row: 2959, expected_value: Employee, label: employment type} + - {column: J, row: 2959, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2961 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2961, expected_value: N92000002, label: geography} + - {column: D, row: 2961, expected_value: Females, label: sex} + - {column: E, row: 2961, expected_value: Employee, label: employment type} + - {column: J, row: 2961, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2963 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2963, expected_value: N92000002, label: geography} + - {column: D, row: 2963, expected_value: Females, label: sex} + - {column: E, row: 2963, expected_value: Employee, label: employment type} + - {column: J, row: 2963, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2965 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2965, expected_value: N92000002, label: geography} + - {column: D, row: 2965, expected_value: Females, label: sex} + - {column: E, row: 2965, expected_value: Employee, label: employment type} + - {column: J, row: 2965, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2967 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2967, expected_value: N92000002, label: geography} + - {column: D, row: 2967, expected_value: Females, label: sex} + - {column: E, row: 2967, expected_value: Employee, label: employment type} + - {column: J, row: 2967, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2969 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2969, expected_value: N92000002, label: geography} + - {column: D, row: 2969, expected_value: Females, label: sex} + - {column: E, row: 2969, expected_value: Employee, label: employment type} + - {column: J, row: 2969, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2971 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2971, expected_value: N92000002, label: geography} + - {column: D, row: 2971, expected_value: Females, label: sex} + - {column: E, row: 2971, expected_value: Employee, label: employment type} + - {column: J, row: 2971, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2973 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2973, expected_value: N92000002, label: geography} + - {column: D, row: 2973, expected_value: Females, label: sex} + - {column: E, row: 2973, expected_value: Employee, label: employment type} + - {column: J, row: 2973, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2975 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2975, expected_value: N92000002, label: geography} + - {column: D, row: 2975, expected_value: Females, label: sex} + - {column: E, row: 2975, expected_value: Employee, label: employment type} + - {column: J, row: 2975, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2977 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2977, expected_value: N92000002, label: geography} + - {column: D, row: 2977, expected_value: Females, label: sex} + - {column: E, row: 2977, expected_value: Employee, label: employment type} + - {column: J, row: 2977, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2981 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2981, expected_value: N92000002, label: geography} + - {column: D, row: 2981, expected_value: Females, label: sex} + - {column: E, row: 2981, expected_value: Employee, label: employment type} + - {column: J, row: 2981, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2983 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2983, expected_value: N92000002, label: geography} + - {column: D, row: 2983, expected_value: Females, label: sex} + - {column: E, row: 2983, expected_value: Employee, label: employment type} + - {column: J, row: 2983, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2985 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2985, expected_value: N92000002, label: geography} + - {column: D, row: 2985, expected_value: Females, label: sex} + - {column: E, row: 2985, expected_value: Employee, label: employment type} + - {column: J, row: 2985, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2987 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2987, expected_value: N92000002, label: geography} + - {column: D, row: 2987, expected_value: Females, label: sex} + - {column: E, row: 2987, expected_value: Employee, label: employment type} + - {column: J, row: 2987, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2989 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2989, expected_value: N92000002, label: geography} + - {column: D, row: 2989, expected_value: Females, label: sex} + - {column: E, row: 2989, expected_value: Employee, label: employment type} + - {column: J, row: 2989, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2991 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2991, expected_value: N92000002, label: geography} + - {column: D, row: 2991, expected_value: Females, label: sex} + - {column: E, row: 2991, expected_value: Employee, label: employment type} + - {column: J, row: 2991, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2999 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2999, expected_value: N92000002, label: geography} + - {column: D, row: 2999, expected_value: Females, label: sex} + - {column: E, row: 2999, expected_value: Employee, label: employment type} + - {column: J, row: 2999, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3001 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3001, expected_value: N92000002, label: geography} + - {column: D, row: 3001, expected_value: Females, label: sex} + - {column: E, row: 3001, expected_value: Employee, label: employment type} + - {column: J, row: 3001, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3003 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3003, expected_value: N92000002, label: geography} + - {column: D, row: 3003, expected_value: Females, label: sex} + - {column: E, row: 3003, expected_value: Employee, label: employment type} + - {column: J, row: 3003, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3005 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3005, expected_value: N92000002, label: geography} + - {column: D, row: 3005, expected_value: Females, label: sex} + - {column: E, row: 3005, expected_value: Employee, label: employment type} + - {column: J, row: 3005, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3009 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3009, expected_value: N92000002, label: geography} + - {column: D, row: 3009, expected_value: Females, label: sex} + - {column: E, row: 3009, expected_value: Employee, label: employment type} + - {column: J, row: 3009, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3011 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3011, expected_value: N92000002, label: geography} + - {column: D, row: 3011, expected_value: Females, label: sex} + - {column: E, row: 3011, expected_value: Employee, label: employment type} + - {column: J, row: 3011, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3013 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3013, expected_value: N92000002, label: geography} + - {column: D, row: 3013, expected_value: Females, label: sex} + - {column: E, row: 3013, expected_value: Employee, label: employment type} + - {column: J, row: 3013, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3015 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3015, expected_value: N92000002, label: geography} + - {column: D, row: 3015, expected_value: Females, label: sex} + - {column: E, row: 3015, expected_value: Employee, label: employment type} + - {column: J, row: 3015, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3017 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3017, expected_value: N92000002, label: geography} + - {column: D, row: 3017, expected_value: Females, label: sex} + - {column: E, row: 3017, expected_value: Employee, label: employment type} + - {column: J, row: 3017, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3021 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3021, expected_value: N92000002, label: geography} + - {column: D, row: 3021, expected_value: Females, label: sex} + - {column: E, row: 3021, expected_value: Employee, label: employment type} + - {column: J, row: 3021, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3025 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3025, expected_value: N92000002, label: geography} + - {column: D, row: 3025, expected_value: Females, label: sex} + - {column: E, row: 3025, expected_value: Employee, label: employment type} + - {column: J, row: 3025, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3170 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3170, expected_value: N92000002, label: geography} + - {column: D, row: 3170, expected_value: Females, label: sex} + - {column: E, row: 3170, expected_value: Self-employed, label: employment type} + - {column: J, row: 3170, expected_value: Value, label: measure} + - {column: L, row: 3171, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3172 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3172, expected_value: N92000002, label: geography} + - {column: D, row: 3172, expected_value: Females, label: sex} + - {column: E, row: 3172, expected_value: Self-employed, label: employment type} + - {column: J, row: 3172, expected_value: Value, label: measure} + - {column: L, row: 3173, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3174 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3174, expected_value: N92000002, label: geography} + - {column: D, row: 3174, expected_value: Females, label: sex} + - {column: E, row: 3174, expected_value: Self-employed, label: employment type} + - {column: J, row: 3174, expected_value: Value, label: measure} + - {column: L, row: 3175, expected_value: G, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3176 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3176, expected_value: N92000002, label: geography} + - {column: D, row: 3176, expected_value: Females, label: sex} + - {column: E, row: 3176, expected_value: Self-employed, label: employment type} + - {column: J, row: 3176, expected_value: Value, label: measure} + - {column: L, row: 3177, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3178 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3178, expected_value: N92000002, label: geography} + - {column: D, row: 3178, expected_value: Females, label: sex} + - {column: E, row: 3178, expected_value: Self-employed, label: employment type} + - {column: J, row: 3178, expected_value: Value, label: measure} + - {column: L, row: 3179, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3182 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3182, expected_value: N92000002, label: geography} + - {column: D, row: 3182, expected_value: Females, label: sex} + - {column: E, row: 3182, expected_value: Self-employed, label: employment type} + - {column: J, row: 3182, expected_value: Value, label: measure} + - {column: L, row: 3183, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3184 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3184, expected_value: N92000002, label: geography} + - {column: D, row: 3184, expected_value: Females, label: sex} + - {column: E, row: 3184, expected_value: Self-employed, label: employment type} + - {column: J, row: 3184, expected_value: Value, label: measure} + - {column: L, row: 3185, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3186 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3186, expected_value: N92000002, label: geography} + - {column: D, row: 3186, expected_value: Females, label: sex} + - {column: E, row: 3186, expected_value: Self-employed, label: employment type} + - {column: J, row: 3186, expected_value: Value, label: measure} + - {column: L, row: 3187, expected_value: G, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3188 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3188, expected_value: N92000002, label: geography} + - {column: D, row: 3188, expected_value: Females, label: sex} + - {column: E, row: 3188, expected_value: Self-employed, label: employment type} + - {column: J, row: 3188, expected_value: Value, label: measure} + - {column: L, row: 3189, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3192 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3192, expected_value: N92000002, label: geography} + - {column: D, row: 3192, expected_value: Females, label: sex} + - {column: E, row: 3192, expected_value: Self-employed, label: employment type} + - {column: J, row: 3192, expected_value: Value, label: measure} + - {column: L, row: 3193, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3196 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3196, expected_value: N92000002, label: geography} + - {column: D, row: 3196, expected_value: Females, label: sex} + - {column: E, row: 3196, expected_value: Self-employed, label: employment type} + - {column: J, row: 3196, expected_value: Value, label: measure} + - {column: L, row: 3197, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3200 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3200, expected_value: N92000002, label: geography} + - {column: D, row: 3200, expected_value: Females, label: sex} + - {column: E, row: 3200, expected_value: Self-employed, label: employment type} + - {column: J, row: 3200, expected_value: Value, label: measure} + - {column: L, row: 3201, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3202 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3202, expected_value: N92000002, label: geography} + - {column: D, row: 3202, expected_value: Females, label: sex} + - {column: E, row: 3202, expected_value: Self-employed, label: employment type} + - {column: J, row: 3202, expected_value: Value, label: measure} + - {column: L, row: 3203, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3206 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3206, expected_value: N92000002, label: geography} + - {column: D, row: 3206, expected_value: Females, label: sex} + - {column: E, row: 3206, expected_value: Self-employed, label: employment type} + - {column: J, row: 3206, expected_value: Value, label: measure} + - {column: L, row: 3207, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3208 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3208, expected_value: N92000002, label: geography} + - {column: D, row: 3208, expected_value: Females, label: sex} + - {column: E, row: 3208, expected_value: Self-employed, label: employment type} + - {column: J, row: 3208, expected_value: Value, label: measure} + - {column: L, row: 3209, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3214 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3214, expected_value: N92000002, label: geography} + - {column: D, row: 3214, expected_value: Females, label: sex} + - {column: E, row: 3214, expected_value: Self-employed, label: employment type} + - {column: J, row: 3214, expected_value: Value, label: measure} + - {column: L, row: 3215, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3216 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3216, expected_value: N92000002, label: geography} + - {column: D, row: 3216, expected_value: Females, label: sex} + - {column: E, row: 3216, expected_value: Self-employed, label: employment type} + - {column: J, row: 3216, expected_value: Value, label: measure} + - {column: L, row: 3217, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3218 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3218, expected_value: N92000002, label: geography} + - {column: D, row: 3218, expected_value: Females, label: sex} + - {column: E, row: 3218, expected_value: Self-employed, label: employment type} + - {column: J, row: 3218, expected_value: Value, label: measure} + - {column: L, row: 3219, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3220 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3220, expected_value: N92000002, label: geography} + - {column: D, row: 3220, expected_value: Females, label: sex} + - {column: E, row: 3220, expected_value: Self-employed, label: employment type} + - {column: J, row: 3220, expected_value: Value, label: measure} + - {column: L, row: 3221, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3224 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3224, expected_value: N92000002, label: geography} + - {column: D, row: 3224, expected_value: Females, label: sex} + - {column: E, row: 3224, expected_value: Self-employed, label: employment type} + - {column: J, row: 3224, expected_value: Value, label: measure} + - {column: L, row: 3225, expected_value: F, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3226 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3226, expected_value: N92000002, label: geography} + - {column: D, row: 3226, expected_value: Females, label: sex} + - {column: E, row: 3226, expected_value: Self-employed, label: employment type} + - {column: J, row: 3226, expected_value: Value, label: measure} + - {column: L, row: 3227, expected_value: F, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3236 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3236, expected_value: N92000002, label: geography} + - {column: D, row: 3236, expected_value: Females, label: sex} + - {column: E, row: 3236, expected_value: Self-employed, label: employment type} + - {column: J, row: 3236, expected_value: Value, label: measure} + - {column: L, row: 3237, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3240 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3240, expected_value: N92000002, label: geography} + - {column: D, row: 3240, expected_value: Females, label: sex} + - {column: E, row: 3240, expected_value: Self-employed, label: employment type} + - {column: J, row: 3240, expected_value: Value, label: measure} + - {column: L, row: 3241, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.n92000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3171 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3171, expected_value: N92000002, label: geography} + - {column: D, row: 3171, expected_value: Females, label: sex} + - {column: E, row: 3171, expected_value: Self-employed, label: employment type} + - {column: J, row: 3171, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3173 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3173, expected_value: N92000002, label: geography} + - {column: D, row: 3173, expected_value: Females, label: sex} + - {column: E, row: 3173, expected_value: Self-employed, label: employment type} + - {column: J, row: 3173, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3177 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3177, expected_value: N92000002, label: geography} + - {column: D, row: 3177, expected_value: Females, label: sex} + - {column: E, row: 3177, expected_value: Self-employed, label: employment type} + - {column: J, row: 3177, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3179 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3179, expected_value: N92000002, label: geography} + - {column: D, row: 3179, expected_value: Females, label: sex} + - {column: E, row: 3179, expected_value: Self-employed, label: employment type} + - {column: J, row: 3179, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3189 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3189, expected_value: N92000002, label: geography} + - {column: D, row: 3189, expected_value: Females, label: sex} + - {column: E, row: 3189, expected_value: Self-employed, label: employment type} + - {column: J, row: 3189, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3197 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3197, expected_value: N92000002, label: geography} + - {column: D, row: 3197, expected_value: Females, label: sex} + - {column: E, row: 3197, expected_value: Self-employed, label: employment type} + - {column: J, row: 3197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3207 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3207, expected_value: N92000002, label: geography} + - {column: D, row: 3207, expected_value: Females, label: sex} + - {column: E, row: 3207, expected_value: Self-employed, label: employment type} + - {column: J, row: 3207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3217 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3217, expected_value: N92000002, label: geography} + - {column: D, row: 3217, expected_value: Females, label: sex} + - {column: E, row: 3217, expected_value: Self-employed, label: employment type} + - {column: J, row: 3217, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3219 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3219, expected_value: N92000002, label: geography} + - {column: D, row: 3219, expected_value: Females, label: sex} + - {column: E, row: 3219, expected_value: Self-employed, label: employment type} + - {column: J, row: 3219, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3221 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3221, expected_value: N92000002, label: geography} + - {column: D, row: 3221, expected_value: Females, label: sex} + - {column: E, row: 3221, expected_value: Self-employed, label: employment type} + - {column: J, row: 3221, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3242 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3242, expected_value: E12000001, label: geography} + - {column: D, row: 3242, expected_value: All persons, label: sex} + - {column: E, row: 3242, expected_value: Total, label: employment type} + - {column: J, row: 3242, expected_value: Value, label: measure} + - {column: L, row: 3243, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3244 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3244, expected_value: E12000001, label: geography} + - {column: D, row: 3244, expected_value: All persons, label: sex} + - {column: E, row: 3244, expected_value: Total, label: employment type} + - {column: J, row: 3244, expected_value: Value, label: measure} + - {column: L, row: 3245, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3246 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3246, expected_value: E12000001, label: geography} + - {column: D, row: 3246, expected_value: All persons, label: sex} + - {column: E, row: 3246, expected_value: Total, label: employment type} + - {column: J, row: 3246, expected_value: Value, label: measure} + - {column: L, row: 3247, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3248 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3248, expected_value: E12000001, label: geography} + - {column: D, row: 3248, expected_value: All persons, label: sex} + - {column: E, row: 3248, expected_value: Total, label: employment type} + - {column: J, row: 3248, expected_value: Value, label: measure} + - {column: L, row: 3249, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3250 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3250, expected_value: E12000001, label: geography} + - {column: D, row: 3250, expected_value: All persons, label: sex} + - {column: E, row: 3250, expected_value: Total, label: employment type} + - {column: J, row: 3250, expected_value: Value, label: measure} + - {column: L, row: 3251, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3252 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3252, expected_value: E12000001, label: geography} + - {column: D, row: 3252, expected_value: All persons, label: sex} + - {column: E, row: 3252, expected_value: Total, label: employment type} + - {column: J, row: 3252, expected_value: Value, label: measure} + - {column: L, row: 3253, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3254 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3254, expected_value: E12000001, label: geography} + - {column: D, row: 3254, expected_value: All persons, label: sex} + - {column: E, row: 3254, expected_value: Total, label: employment type} + - {column: J, row: 3254, expected_value: Value, label: measure} + - {column: L, row: 3255, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3256 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3256, expected_value: E12000001, label: geography} + - {column: D, row: 3256, expected_value: All persons, label: sex} + - {column: E, row: 3256, expected_value: Total, label: employment type} + - {column: J, row: 3256, expected_value: Value, label: measure} + - {column: L, row: 3257, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3258 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3258, expected_value: E12000001, label: geography} + - {column: D, row: 3258, expected_value: All persons, label: sex} + - {column: E, row: 3258, expected_value: Total, label: employment type} + - {column: J, row: 3258, expected_value: Value, label: measure} + - {column: L, row: 3259, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3260 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3260, expected_value: E12000001, label: geography} + - {column: D, row: 3260, expected_value: All persons, label: sex} + - {column: E, row: 3260, expected_value: Total, label: employment type} + - {column: J, row: 3260, expected_value: Value, label: measure} + - {column: L, row: 3261, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3262 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3262, expected_value: E12000001, label: geography} + - {column: D, row: 3262, expected_value: All persons, label: sex} + - {column: E, row: 3262, expected_value: Total, label: employment type} + - {column: J, row: 3262, expected_value: Value, label: measure} + - {column: L, row: 3263, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3264 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3264, expected_value: E12000001, label: geography} + - {column: D, row: 3264, expected_value: All persons, label: sex} + - {column: E, row: 3264, expected_value: Total, label: employment type} + - {column: J, row: 3264, expected_value: Value, label: measure} + - {column: L, row: 3265, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3266 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3266, expected_value: E12000001, label: geography} + - {column: D, row: 3266, expected_value: All persons, label: sex} + - {column: E, row: 3266, expected_value: Total, label: employment type} + - {column: J, row: 3266, expected_value: Value, label: measure} + - {column: L, row: 3267, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3268 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3268, expected_value: E12000001, label: geography} + - {column: D, row: 3268, expected_value: All persons, label: sex} + - {column: E, row: 3268, expected_value: Total, label: employment type} + - {column: J, row: 3268, expected_value: Value, label: measure} + - {column: L, row: 3269, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3270 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3270, expected_value: E12000001, label: geography} + - {column: D, row: 3270, expected_value: All persons, label: sex} + - {column: E, row: 3270, expected_value: Total, label: employment type} + - {column: J, row: 3270, expected_value: Value, label: measure} + - {column: L, row: 3271, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3272 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3272, expected_value: E12000001, label: geography} + - {column: D, row: 3272, expected_value: All persons, label: sex} + - {column: E, row: 3272, expected_value: Total, label: employment type} + - {column: J, row: 3272, expected_value: Value, label: measure} + - {column: L, row: 3273, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3274 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3274, expected_value: E12000001, label: geography} + - {column: D, row: 3274, expected_value: All persons, label: sex} + - {column: E, row: 3274, expected_value: Total, label: employment type} + - {column: J, row: 3274, expected_value: Value, label: measure} + - {column: L, row: 3275, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3276 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3276, expected_value: E12000001, label: geography} + - {column: D, row: 3276, expected_value: All persons, label: sex} + - {column: E, row: 3276, expected_value: Total, label: employment type} + - {column: J, row: 3276, expected_value: Value, label: measure} + - {column: L, row: 3277, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3278 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3278, expected_value: E12000001, label: geography} + - {column: D, row: 3278, expected_value: All persons, label: sex} + - {column: E, row: 3278, expected_value: Total, label: employment type} + - {column: J, row: 3278, expected_value: Value, label: measure} + - {column: L, row: 3279, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3280 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3280, expected_value: E12000001, label: geography} + - {column: D, row: 3280, expected_value: All persons, label: sex} + - {column: E, row: 3280, expected_value: Total, label: employment type} + - {column: J, row: 3280, expected_value: Value, label: measure} + - {column: L, row: 3281, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3282 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3282, expected_value: E12000001, label: geography} + - {column: D, row: 3282, expected_value: All persons, label: sex} + - {column: E, row: 3282, expected_value: Total, label: employment type} + - {column: J, row: 3282, expected_value: Value, label: measure} + - {column: L, row: 3283, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3284 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3284, expected_value: E12000001, label: geography} + - {column: D, row: 3284, expected_value: All persons, label: sex} + - {column: E, row: 3284, expected_value: Total, label: employment type} + - {column: J, row: 3284, expected_value: Value, label: measure} + - {column: L, row: 3285, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3286 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3286, expected_value: E12000001, label: geography} + - {column: D, row: 3286, expected_value: All persons, label: sex} + - {column: E, row: 3286, expected_value: Total, label: employment type} + - {column: J, row: 3286, expected_value: Value, label: measure} + - {column: L, row: 3287, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3288 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3288, expected_value: E12000001, label: geography} + - {column: D, row: 3288, expected_value: All persons, label: sex} + - {column: E, row: 3288, expected_value: Total, label: employment type} + - {column: J, row: 3288, expected_value: Value, label: measure} + - {column: L, row: 3289, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3290 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3290, expected_value: E12000001, label: geography} + - {column: D, row: 3290, expected_value: All persons, label: sex} + - {column: E, row: 3290, expected_value: Total, label: employment type} + - {column: J, row: 3290, expected_value: Value, label: measure} + - {column: L, row: 3291, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3292 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3292, expected_value: E12000001, label: geography} + - {column: D, row: 3292, expected_value: All persons, label: sex} + - {column: E, row: 3292, expected_value: Total, label: employment type} + - {column: J, row: 3292, expected_value: Value, label: measure} + - {column: L, row: 3293, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3294 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3294, expected_value: E12000001, label: geography} + - {column: D, row: 3294, expected_value: All persons, label: sex} + - {column: E, row: 3294, expected_value: Total, label: employment type} + - {column: J, row: 3294, expected_value: Value, label: measure} + - {column: L, row: 3295, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3296 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3296, expected_value: E12000001, label: geography} + - {column: D, row: 3296, expected_value: All persons, label: sex} + - {column: E, row: 3296, expected_value: Total, label: employment type} + - {column: J, row: 3296, expected_value: Value, label: measure} + - {column: L, row: 3297, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3298 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3298, expected_value: E12000001, label: geography} + - {column: D, row: 3298, expected_value: All persons, label: sex} + - {column: E, row: 3298, expected_value: Total, label: employment type} + - {column: J, row: 3298, expected_value: Value, label: measure} + - {column: L, row: 3299, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3300 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3300, expected_value: E12000001, label: geography} + - {column: D, row: 3300, expected_value: All persons, label: sex} + - {column: E, row: 3300, expected_value: Total, label: employment type} + - {column: J, row: 3300, expected_value: Value, label: measure} + - {column: L, row: 3301, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3302 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3302, expected_value: E12000001, label: geography} + - {column: D, row: 3302, expected_value: All persons, label: sex} + - {column: E, row: 3302, expected_value: Total, label: employment type} + - {column: J, row: 3302, expected_value: Value, label: measure} + - {column: L, row: 3303, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3304 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3304, expected_value: E12000001, label: geography} + - {column: D, row: 3304, expected_value: All persons, label: sex} + - {column: E, row: 3304, expected_value: Total, label: employment type} + - {column: J, row: 3304, expected_value: Value, label: measure} + - {column: L, row: 3305, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3306 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3306, expected_value: E12000001, label: geography} + - {column: D, row: 3306, expected_value: All persons, label: sex} + - {column: E, row: 3306, expected_value: Total, label: employment type} + - {column: J, row: 3306, expected_value: Value, label: measure} + - {column: L, row: 3307, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3308 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3308, expected_value: E12000001, label: geography} + - {column: D, row: 3308, expected_value: All persons, label: sex} + - {column: E, row: 3308, expected_value: Total, label: employment type} + - {column: J, row: 3308, expected_value: Value, label: measure} + - {column: L, row: 3309, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3310 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3310, expected_value: E12000001, label: geography} + - {column: D, row: 3310, expected_value: All persons, label: sex} + - {column: E, row: 3310, expected_value: Total, label: employment type} + - {column: J, row: 3310, expected_value: Value, label: measure} + - {column: L, row: 3311, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3312 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3312, expected_value: E12000001, label: geography} + - {column: D, row: 3312, expected_value: All persons, label: sex} + - {column: E, row: 3312, expected_value: Total, label: employment type} + - {column: J, row: 3312, expected_value: Value, label: measure} + - {column: L, row: 3313, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3243 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3243, expected_value: E12000001, label: geography} + - {column: D, row: 3243, expected_value: All persons, label: sex} + - {column: E, row: 3243, expected_value: Total, label: employment type} + - {column: J, row: 3243, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3245 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3245, expected_value: E12000001, label: geography} + - {column: D, row: 3245, expected_value: All persons, label: sex} + - {column: E, row: 3245, expected_value: Total, label: employment type} + - {column: J, row: 3245, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3247 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3247, expected_value: E12000001, label: geography} + - {column: D, row: 3247, expected_value: All persons, label: sex} + - {column: E, row: 3247, expected_value: Total, label: employment type} + - {column: J, row: 3247, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3249 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3249, expected_value: E12000001, label: geography} + - {column: D, row: 3249, expected_value: All persons, label: sex} + - {column: E, row: 3249, expected_value: Total, label: employment type} + - {column: J, row: 3249, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3251 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3251, expected_value: E12000001, label: geography} + - {column: D, row: 3251, expected_value: All persons, label: sex} + - {column: E, row: 3251, expected_value: Total, label: employment type} + - {column: J, row: 3251, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3253 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3253, expected_value: E12000001, label: geography} + - {column: D, row: 3253, expected_value: All persons, label: sex} + - {column: E, row: 3253, expected_value: Total, label: employment type} + - {column: J, row: 3253, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3255 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3255, expected_value: E12000001, label: geography} + - {column: D, row: 3255, expected_value: All persons, label: sex} + - {column: E, row: 3255, expected_value: Total, label: employment type} + - {column: J, row: 3255, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3257 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3257, expected_value: E12000001, label: geography} + - {column: D, row: 3257, expected_value: All persons, label: sex} + - {column: E, row: 3257, expected_value: Total, label: employment type} + - {column: J, row: 3257, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3259 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3259, expected_value: E12000001, label: geography} + - {column: D, row: 3259, expected_value: All persons, label: sex} + - {column: E, row: 3259, expected_value: Total, label: employment type} + - {column: J, row: 3259, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3261 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3261, expected_value: E12000001, label: geography} + - {column: D, row: 3261, expected_value: All persons, label: sex} + - {column: E, row: 3261, expected_value: Total, label: employment type} + - {column: J, row: 3261, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3263 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3263, expected_value: E12000001, label: geography} + - {column: D, row: 3263, expected_value: All persons, label: sex} + - {column: E, row: 3263, expected_value: Total, label: employment type} + - {column: J, row: 3263, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3265 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3265, expected_value: E12000001, label: geography} + - {column: D, row: 3265, expected_value: All persons, label: sex} + - {column: E, row: 3265, expected_value: Total, label: employment type} + - {column: J, row: 3265, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3267 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3267, expected_value: E12000001, label: geography} + - {column: D, row: 3267, expected_value: All persons, label: sex} + - {column: E, row: 3267, expected_value: Total, label: employment type} + - {column: J, row: 3267, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3269 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3269, expected_value: E12000001, label: geography} + - {column: D, row: 3269, expected_value: All persons, label: sex} + - {column: E, row: 3269, expected_value: Total, label: employment type} + - {column: J, row: 3269, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3271 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3271, expected_value: E12000001, label: geography} + - {column: D, row: 3271, expected_value: All persons, label: sex} + - {column: E, row: 3271, expected_value: Total, label: employment type} + - {column: J, row: 3271, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3273 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3273, expected_value: E12000001, label: geography} + - {column: D, row: 3273, expected_value: All persons, label: sex} + - {column: E, row: 3273, expected_value: Total, label: employment type} + - {column: J, row: 3273, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3275 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3275, expected_value: E12000001, label: geography} + - {column: D, row: 3275, expected_value: All persons, label: sex} + - {column: E, row: 3275, expected_value: Total, label: employment type} + - {column: J, row: 3275, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3277 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3277, expected_value: E12000001, label: geography} + - {column: D, row: 3277, expected_value: All persons, label: sex} + - {column: E, row: 3277, expected_value: Total, label: employment type} + - {column: J, row: 3277, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3279 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3279, expected_value: E12000001, label: geography} + - {column: D, row: 3279, expected_value: All persons, label: sex} + - {column: E, row: 3279, expected_value: Total, label: employment type} + - {column: J, row: 3279, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3281 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3281, expected_value: E12000001, label: geography} + - {column: D, row: 3281, expected_value: All persons, label: sex} + - {column: E, row: 3281, expected_value: Total, label: employment type} + - {column: J, row: 3281, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3283 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3283, expected_value: E12000001, label: geography} + - {column: D, row: 3283, expected_value: All persons, label: sex} + - {column: E, row: 3283, expected_value: Total, label: employment type} + - {column: J, row: 3283, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3285 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3285, expected_value: E12000001, label: geography} + - {column: D, row: 3285, expected_value: All persons, label: sex} + - {column: E, row: 3285, expected_value: Total, label: employment type} + - {column: J, row: 3285, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3287 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3287, expected_value: E12000001, label: geography} + - {column: D, row: 3287, expected_value: All persons, label: sex} + - {column: E, row: 3287, expected_value: Total, label: employment type} + - {column: J, row: 3287, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3289 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3289, expected_value: E12000001, label: geography} + - {column: D, row: 3289, expected_value: All persons, label: sex} + - {column: E, row: 3289, expected_value: Total, label: employment type} + - {column: J, row: 3289, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3291 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3291, expected_value: E12000001, label: geography} + - {column: D, row: 3291, expected_value: All persons, label: sex} + - {column: E, row: 3291, expected_value: Total, label: employment type} + - {column: J, row: 3291, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3293 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3293, expected_value: E12000001, label: geography} + - {column: D, row: 3293, expected_value: All persons, label: sex} + - {column: E, row: 3293, expected_value: Total, label: employment type} + - {column: J, row: 3293, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3297 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3297, expected_value: E12000001, label: geography} + - {column: D, row: 3297, expected_value: All persons, label: sex} + - {column: E, row: 3297, expected_value: Total, label: employment type} + - {column: J, row: 3297, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3299 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3299, expected_value: E12000001, label: geography} + - {column: D, row: 3299, expected_value: All persons, label: sex} + - {column: E, row: 3299, expected_value: Total, label: employment type} + - {column: J, row: 3299, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3301 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3301, expected_value: E12000001, label: geography} + - {column: D, row: 3301, expected_value: All persons, label: sex} + - {column: E, row: 3301, expected_value: Total, label: employment type} + - {column: J, row: 3301, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3303 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3303, expected_value: E12000001, label: geography} + - {column: D, row: 3303, expected_value: All persons, label: sex} + - {column: E, row: 3303, expected_value: Total, label: employment type} + - {column: J, row: 3303, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3305 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3305, expected_value: E12000001, label: geography} + - {column: D, row: 3305, expected_value: All persons, label: sex} + - {column: E, row: 3305, expected_value: Total, label: employment type} + - {column: J, row: 3305, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3307 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3307, expected_value: E12000001, label: geography} + - {column: D, row: 3307, expected_value: All persons, label: sex} + - {column: E, row: 3307, expected_value: Total, label: employment type} + - {column: J, row: 3307, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3309 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3309, expected_value: E12000001, label: geography} + - {column: D, row: 3309, expected_value: All persons, label: sex} + - {column: E, row: 3309, expected_value: Total, label: employment type} + - {column: J, row: 3309, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3311 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3311, expected_value: E12000001, label: geography} + - {column: D, row: 3311, expected_value: All persons, label: sex} + - {column: E, row: 3311, expected_value: Total, label: employment type} + - {column: J, row: 3311, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3313 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3313, expected_value: E12000001, label: geography} + - {column: D, row: 3313, expected_value: All persons, label: sex} + - {column: E, row: 3313, expected_value: Total, label: employment type} + - {column: J, row: 3313, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3458 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3458, expected_value: E12000001, label: geography} + - {column: D, row: 3458, expected_value: All persons, label: sex} + - {column: E, row: 3458, expected_value: Employee, label: employment type} + - {column: J, row: 3458, expected_value: Value, label: measure} + - {column: L, row: 3459, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3460 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3460, expected_value: E12000001, label: geography} + - {column: D, row: 3460, expected_value: All persons, label: sex} + - {column: E, row: 3460, expected_value: Employee, label: employment type} + - {column: J, row: 3460, expected_value: Value, label: measure} + - {column: L, row: 3461, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3462 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3462, expected_value: E12000001, label: geography} + - {column: D, row: 3462, expected_value: All persons, label: sex} + - {column: E, row: 3462, expected_value: Employee, label: employment type} + - {column: J, row: 3462, expected_value: Value, label: measure} + - {column: L, row: 3463, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3464 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3464, expected_value: E12000001, label: geography} + - {column: D, row: 3464, expected_value: All persons, label: sex} + - {column: E, row: 3464, expected_value: Employee, label: employment type} + - {column: J, row: 3464, expected_value: Value, label: measure} + - {column: L, row: 3465, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3466 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3466, expected_value: E12000001, label: geography} + - {column: D, row: 3466, expected_value: All persons, label: sex} + - {column: E, row: 3466, expected_value: Employee, label: employment type} + - {column: J, row: 3466, expected_value: Value, label: measure} + - {column: L, row: 3467, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3468 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3468, expected_value: E12000001, label: geography} + - {column: D, row: 3468, expected_value: All persons, label: sex} + - {column: E, row: 3468, expected_value: Employee, label: employment type} + - {column: J, row: 3468, expected_value: Value, label: measure} + - {column: L, row: 3469, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3470 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3470, expected_value: E12000001, label: geography} + - {column: D, row: 3470, expected_value: All persons, label: sex} + - {column: E, row: 3470, expected_value: Employee, label: employment type} + - {column: J, row: 3470, expected_value: Value, label: measure} + - {column: L, row: 3471, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3472 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3472, expected_value: E12000001, label: geography} + - {column: D, row: 3472, expected_value: All persons, label: sex} + - {column: E, row: 3472, expected_value: Employee, label: employment type} + - {column: J, row: 3472, expected_value: Value, label: measure} + - {column: L, row: 3473, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3474 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3474, expected_value: E12000001, label: geography} + - {column: D, row: 3474, expected_value: All persons, label: sex} + - {column: E, row: 3474, expected_value: Employee, label: employment type} + - {column: J, row: 3474, expected_value: Value, label: measure} + - {column: L, row: 3475, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3476 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3476, expected_value: E12000001, label: geography} + - {column: D, row: 3476, expected_value: All persons, label: sex} + - {column: E, row: 3476, expected_value: Employee, label: employment type} + - {column: J, row: 3476, expected_value: Value, label: measure} + - {column: L, row: 3477, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3478 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3478, expected_value: E12000001, label: geography} + - {column: D, row: 3478, expected_value: All persons, label: sex} + - {column: E, row: 3478, expected_value: Employee, label: employment type} + - {column: J, row: 3478, expected_value: Value, label: measure} + - {column: L, row: 3479, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3480 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3480, expected_value: E12000001, label: geography} + - {column: D, row: 3480, expected_value: All persons, label: sex} + - {column: E, row: 3480, expected_value: Employee, label: employment type} + - {column: J, row: 3480, expected_value: Value, label: measure} + - {column: L, row: 3481, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3482 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3482, expected_value: E12000001, label: geography} + - {column: D, row: 3482, expected_value: All persons, label: sex} + - {column: E, row: 3482, expected_value: Employee, label: employment type} + - {column: J, row: 3482, expected_value: Value, label: measure} + - {column: L, row: 3483, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3484 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3484, expected_value: E12000001, label: geography} + - {column: D, row: 3484, expected_value: All persons, label: sex} + - {column: E, row: 3484, expected_value: Employee, label: employment type} + - {column: J, row: 3484, expected_value: Value, label: measure} + - {column: L, row: 3485, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3486 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3486, expected_value: E12000001, label: geography} + - {column: D, row: 3486, expected_value: All persons, label: sex} + - {column: E, row: 3486, expected_value: Employee, label: employment type} + - {column: J, row: 3486, expected_value: Value, label: measure} + - {column: L, row: 3487, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3488 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3488, expected_value: E12000001, label: geography} + - {column: D, row: 3488, expected_value: All persons, label: sex} + - {column: E, row: 3488, expected_value: Employee, label: employment type} + - {column: J, row: 3488, expected_value: Value, label: measure} + - {column: L, row: 3489, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3490 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3490, expected_value: E12000001, label: geography} + - {column: D, row: 3490, expected_value: All persons, label: sex} + - {column: E, row: 3490, expected_value: Employee, label: employment type} + - {column: J, row: 3490, expected_value: Value, label: measure} + - {column: L, row: 3491, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3492 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3492, expected_value: E12000001, label: geography} + - {column: D, row: 3492, expected_value: All persons, label: sex} + - {column: E, row: 3492, expected_value: Employee, label: employment type} + - {column: J, row: 3492, expected_value: Value, label: measure} + - {column: L, row: 3493, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3494 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3494, expected_value: E12000001, label: geography} + - {column: D, row: 3494, expected_value: All persons, label: sex} + - {column: E, row: 3494, expected_value: Employee, label: employment type} + - {column: J, row: 3494, expected_value: Value, label: measure} + - {column: L, row: 3495, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3496 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3496, expected_value: E12000001, label: geography} + - {column: D, row: 3496, expected_value: All persons, label: sex} + - {column: E, row: 3496, expected_value: Employee, label: employment type} + - {column: J, row: 3496, expected_value: Value, label: measure} + - {column: L, row: 3497, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3498 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3498, expected_value: E12000001, label: geography} + - {column: D, row: 3498, expected_value: All persons, label: sex} + - {column: E, row: 3498, expected_value: Employee, label: employment type} + - {column: J, row: 3498, expected_value: Value, label: measure} + - {column: L, row: 3499, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3500 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3500, expected_value: E12000001, label: geography} + - {column: D, row: 3500, expected_value: All persons, label: sex} + - {column: E, row: 3500, expected_value: Employee, label: employment type} + - {column: J, row: 3500, expected_value: Value, label: measure} + - {column: L, row: 3501, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3502 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3502, expected_value: E12000001, label: geography} + - {column: D, row: 3502, expected_value: All persons, label: sex} + - {column: E, row: 3502, expected_value: Employee, label: employment type} + - {column: J, row: 3502, expected_value: Value, label: measure} + - {column: L, row: 3503, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3504 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3504, expected_value: E12000001, label: geography} + - {column: D, row: 3504, expected_value: All persons, label: sex} + - {column: E, row: 3504, expected_value: Employee, label: employment type} + - {column: J, row: 3504, expected_value: Value, label: measure} + - {column: L, row: 3505, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3506 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3506, expected_value: E12000001, label: geography} + - {column: D, row: 3506, expected_value: All persons, label: sex} + - {column: E, row: 3506, expected_value: Employee, label: employment type} + - {column: J, row: 3506, expected_value: Value, label: measure} + - {column: L, row: 3507, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3508 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3508, expected_value: E12000001, label: geography} + - {column: D, row: 3508, expected_value: All persons, label: sex} + - {column: E, row: 3508, expected_value: Employee, label: employment type} + - {column: J, row: 3508, expected_value: Value, label: measure} + - {column: L, row: 3509, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3510 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3510, expected_value: E12000001, label: geography} + - {column: D, row: 3510, expected_value: All persons, label: sex} + - {column: E, row: 3510, expected_value: Employee, label: employment type} + - {column: J, row: 3510, expected_value: Value, label: measure} + - {column: L, row: 3511, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3512 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3512, expected_value: E12000001, label: geography} + - {column: D, row: 3512, expected_value: All persons, label: sex} + - {column: E, row: 3512, expected_value: Employee, label: employment type} + - {column: J, row: 3512, expected_value: Value, label: measure} + - {column: L, row: 3513, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3514 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3514, expected_value: E12000001, label: geography} + - {column: D, row: 3514, expected_value: All persons, label: sex} + - {column: E, row: 3514, expected_value: Employee, label: employment type} + - {column: J, row: 3514, expected_value: Value, label: measure} + - {column: L, row: 3515, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3516 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3516, expected_value: E12000001, label: geography} + - {column: D, row: 3516, expected_value: All persons, label: sex} + - {column: E, row: 3516, expected_value: Employee, label: employment type} + - {column: J, row: 3516, expected_value: Value, label: measure} + - {column: L, row: 3517, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3518 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3518, expected_value: E12000001, label: geography} + - {column: D, row: 3518, expected_value: All persons, label: sex} + - {column: E, row: 3518, expected_value: Employee, label: employment type} + - {column: J, row: 3518, expected_value: Value, label: measure} + - {column: L, row: 3519, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3520 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3520, expected_value: E12000001, label: geography} + - {column: D, row: 3520, expected_value: All persons, label: sex} + - {column: E, row: 3520, expected_value: Employee, label: employment type} + - {column: J, row: 3520, expected_value: Value, label: measure} + - {column: L, row: 3521, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3522 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3522, expected_value: E12000001, label: geography} + - {column: D, row: 3522, expected_value: All persons, label: sex} + - {column: E, row: 3522, expected_value: Employee, label: employment type} + - {column: J, row: 3522, expected_value: Value, label: measure} + - {column: L, row: 3523, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3524 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3524, expected_value: E12000001, label: geography} + - {column: D, row: 3524, expected_value: All persons, label: sex} + - {column: E, row: 3524, expected_value: Employee, label: employment type} + - {column: J, row: 3524, expected_value: Value, label: measure} + - {column: L, row: 3525, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3526 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3526, expected_value: E12000001, label: geography} + - {column: D, row: 3526, expected_value: All persons, label: sex} + - {column: E, row: 3526, expected_value: Employee, label: employment type} + - {column: J, row: 3526, expected_value: Value, label: measure} + - {column: L, row: 3527, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3528 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3528, expected_value: E12000001, label: geography} + - {column: D, row: 3528, expected_value: All persons, label: sex} + - {column: E, row: 3528, expected_value: Employee, label: employment type} + - {column: J, row: 3528, expected_value: Value, label: measure} + - {column: L, row: 3529, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3459 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3459, expected_value: E12000001, label: geography} + - {column: D, row: 3459, expected_value: All persons, label: sex} + - {column: E, row: 3459, expected_value: Employee, label: employment type} + - {column: J, row: 3459, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3461 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3461, expected_value: E12000001, label: geography} + - {column: D, row: 3461, expected_value: All persons, label: sex} + - {column: E, row: 3461, expected_value: Employee, label: employment type} + - {column: J, row: 3461, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3463 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3463, expected_value: E12000001, label: geography} + - {column: D, row: 3463, expected_value: All persons, label: sex} + - {column: E, row: 3463, expected_value: Employee, label: employment type} + - {column: J, row: 3463, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3465 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3465, expected_value: E12000001, label: geography} + - {column: D, row: 3465, expected_value: All persons, label: sex} + - {column: E, row: 3465, expected_value: Employee, label: employment type} + - {column: J, row: 3465, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3467 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3467, expected_value: E12000001, label: geography} + - {column: D, row: 3467, expected_value: All persons, label: sex} + - {column: E, row: 3467, expected_value: Employee, label: employment type} + - {column: J, row: 3467, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3469 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3469, expected_value: E12000001, label: geography} + - {column: D, row: 3469, expected_value: All persons, label: sex} + - {column: E, row: 3469, expected_value: Employee, label: employment type} + - {column: J, row: 3469, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3471 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3471, expected_value: E12000001, label: geography} + - {column: D, row: 3471, expected_value: All persons, label: sex} + - {column: E, row: 3471, expected_value: Employee, label: employment type} + - {column: J, row: 3471, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3473 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3473, expected_value: E12000001, label: geography} + - {column: D, row: 3473, expected_value: All persons, label: sex} + - {column: E, row: 3473, expected_value: Employee, label: employment type} + - {column: J, row: 3473, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3475 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3475, expected_value: E12000001, label: geography} + - {column: D, row: 3475, expected_value: All persons, label: sex} + - {column: E, row: 3475, expected_value: Employee, label: employment type} + - {column: J, row: 3475, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3477 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3477, expected_value: E12000001, label: geography} + - {column: D, row: 3477, expected_value: All persons, label: sex} + - {column: E, row: 3477, expected_value: Employee, label: employment type} + - {column: J, row: 3477, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3479 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3479, expected_value: E12000001, label: geography} + - {column: D, row: 3479, expected_value: All persons, label: sex} + - {column: E, row: 3479, expected_value: Employee, label: employment type} + - {column: J, row: 3479, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3481 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3481, expected_value: E12000001, label: geography} + - {column: D, row: 3481, expected_value: All persons, label: sex} + - {column: E, row: 3481, expected_value: Employee, label: employment type} + - {column: J, row: 3481, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3483 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3483, expected_value: E12000001, label: geography} + - {column: D, row: 3483, expected_value: All persons, label: sex} + - {column: E, row: 3483, expected_value: Employee, label: employment type} + - {column: J, row: 3483, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3485 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3485, expected_value: E12000001, label: geography} + - {column: D, row: 3485, expected_value: All persons, label: sex} + - {column: E, row: 3485, expected_value: Employee, label: employment type} + - {column: J, row: 3485, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3487 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3487, expected_value: E12000001, label: geography} + - {column: D, row: 3487, expected_value: All persons, label: sex} + - {column: E, row: 3487, expected_value: Employee, label: employment type} + - {column: J, row: 3487, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3489 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3489, expected_value: E12000001, label: geography} + - {column: D, row: 3489, expected_value: All persons, label: sex} + - {column: E, row: 3489, expected_value: Employee, label: employment type} + - {column: J, row: 3489, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3491 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3491, expected_value: E12000001, label: geography} + - {column: D, row: 3491, expected_value: All persons, label: sex} + - {column: E, row: 3491, expected_value: Employee, label: employment type} + - {column: J, row: 3491, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3493 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3493, expected_value: E12000001, label: geography} + - {column: D, row: 3493, expected_value: All persons, label: sex} + - {column: E, row: 3493, expected_value: Employee, label: employment type} + - {column: J, row: 3493, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3495 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3495, expected_value: E12000001, label: geography} + - {column: D, row: 3495, expected_value: All persons, label: sex} + - {column: E, row: 3495, expected_value: Employee, label: employment type} + - {column: J, row: 3495, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3497 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3497, expected_value: E12000001, label: geography} + - {column: D, row: 3497, expected_value: All persons, label: sex} + - {column: E, row: 3497, expected_value: Employee, label: employment type} + - {column: J, row: 3497, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3499 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3499, expected_value: E12000001, label: geography} + - {column: D, row: 3499, expected_value: All persons, label: sex} + - {column: E, row: 3499, expected_value: Employee, label: employment type} + - {column: J, row: 3499, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3501 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3501, expected_value: E12000001, label: geography} + - {column: D, row: 3501, expected_value: All persons, label: sex} + - {column: E, row: 3501, expected_value: Employee, label: employment type} + - {column: J, row: 3501, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3503 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3503, expected_value: E12000001, label: geography} + - {column: D, row: 3503, expected_value: All persons, label: sex} + - {column: E, row: 3503, expected_value: Employee, label: employment type} + - {column: J, row: 3503, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3505 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3505, expected_value: E12000001, label: geography} + - {column: D, row: 3505, expected_value: All persons, label: sex} + - {column: E, row: 3505, expected_value: Employee, label: employment type} + - {column: J, row: 3505, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3507 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3507, expected_value: E12000001, label: geography} + - {column: D, row: 3507, expected_value: All persons, label: sex} + - {column: E, row: 3507, expected_value: Employee, label: employment type} + - {column: J, row: 3507, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3509 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3509, expected_value: E12000001, label: geography} + - {column: D, row: 3509, expected_value: All persons, label: sex} + - {column: E, row: 3509, expected_value: Employee, label: employment type} + - {column: J, row: 3509, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3513 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3513, expected_value: E12000001, label: geography} + - {column: D, row: 3513, expected_value: All persons, label: sex} + - {column: E, row: 3513, expected_value: Employee, label: employment type} + - {column: J, row: 3513, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3515 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3515, expected_value: E12000001, label: geography} + - {column: D, row: 3515, expected_value: All persons, label: sex} + - {column: E, row: 3515, expected_value: Employee, label: employment type} + - {column: J, row: 3515, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3517 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3517, expected_value: E12000001, label: geography} + - {column: D, row: 3517, expected_value: All persons, label: sex} + - {column: E, row: 3517, expected_value: Employee, label: employment type} + - {column: J, row: 3517, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3519 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3519, expected_value: E12000001, label: geography} + - {column: D, row: 3519, expected_value: All persons, label: sex} + - {column: E, row: 3519, expected_value: Employee, label: employment type} + - {column: J, row: 3519, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3521 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3521, expected_value: E12000001, label: geography} + - {column: D, row: 3521, expected_value: All persons, label: sex} + - {column: E, row: 3521, expected_value: Employee, label: employment type} + - {column: J, row: 3521, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3523 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3523, expected_value: E12000001, label: geography} + - {column: D, row: 3523, expected_value: All persons, label: sex} + - {column: E, row: 3523, expected_value: Employee, label: employment type} + - {column: J, row: 3523, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3525 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3525, expected_value: E12000001, label: geography} + - {column: D, row: 3525, expected_value: All persons, label: sex} + - {column: E, row: 3525, expected_value: Employee, label: employment type} + - {column: J, row: 3525, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3527 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3527, expected_value: E12000001, label: geography} + - {column: D, row: 3527, expected_value: All persons, label: sex} + - {column: E, row: 3527, expected_value: Employee, label: employment type} + - {column: J, row: 3527, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3529 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3529, expected_value: E12000001, label: geography} + - {column: D, row: 3529, expected_value: All persons, label: sex} + - {column: E, row: 3529, expected_value: Employee, label: employment type} + - {column: J, row: 3529, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3674 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3674, expected_value: E12000001, label: geography} + - {column: D, row: 3674, expected_value: All persons, label: sex} + - {column: E, row: 3674, expected_value: Self-employed, label: employment type} + - {column: J, row: 3674, expected_value: Value, label: measure} + - {column: L, row: 3675, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3676 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3676, expected_value: E12000001, label: geography} + - {column: D, row: 3676, expected_value: All persons, label: sex} + - {column: E, row: 3676, expected_value: Self-employed, label: employment type} + - {column: J, row: 3676, expected_value: Value, label: measure} + - {column: L, row: 3677, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3678 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3678, expected_value: E12000001, label: geography} + - {column: D, row: 3678, expected_value: All persons, label: sex} + - {column: E, row: 3678, expected_value: Self-employed, label: employment type} + - {column: J, row: 3678, expected_value: Value, label: measure} + - {column: L, row: 3679, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3680 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3680, expected_value: E12000001, label: geography} + - {column: D, row: 3680, expected_value: All persons, label: sex} + - {column: E, row: 3680, expected_value: Self-employed, label: employment type} + - {column: J, row: 3680, expected_value: Value, label: measure} + - {column: L, row: 3681, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3682 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3682, expected_value: E12000001, label: geography} + - {column: D, row: 3682, expected_value: All persons, label: sex} + - {column: E, row: 3682, expected_value: Self-employed, label: employment type} + - {column: J, row: 3682, expected_value: Value, label: measure} + - {column: L, row: 3683, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3684 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3684, expected_value: E12000001, label: geography} + - {column: D, row: 3684, expected_value: All persons, label: sex} + - {column: E, row: 3684, expected_value: Self-employed, label: employment type} + - {column: J, row: 3684, expected_value: Value, label: measure} + - {column: L, row: 3685, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3686 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3686, expected_value: E12000001, label: geography} + - {column: D, row: 3686, expected_value: All persons, label: sex} + - {column: E, row: 3686, expected_value: Self-employed, label: employment type} + - {column: J, row: 3686, expected_value: Value, label: measure} + - {column: L, row: 3687, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3688 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3688, expected_value: E12000001, label: geography} + - {column: D, row: 3688, expected_value: All persons, label: sex} + - {column: E, row: 3688, expected_value: Self-employed, label: employment type} + - {column: J, row: 3688, expected_value: Value, label: measure} + - {column: L, row: 3689, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3690 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3690, expected_value: E12000001, label: geography} + - {column: D, row: 3690, expected_value: All persons, label: sex} + - {column: E, row: 3690, expected_value: Self-employed, label: employment type} + - {column: J, row: 3690, expected_value: Value, label: measure} + - {column: L, row: 3691, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3692 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3692, expected_value: E12000001, label: geography} + - {column: D, row: 3692, expected_value: All persons, label: sex} + - {column: E, row: 3692, expected_value: Self-employed, label: employment type} + - {column: J, row: 3692, expected_value: Value, label: measure} + - {column: L, row: 3693, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3694 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3694, expected_value: E12000001, label: geography} + - {column: D, row: 3694, expected_value: All persons, label: sex} + - {column: E, row: 3694, expected_value: Self-employed, label: employment type} + - {column: J, row: 3694, expected_value: Value, label: measure} + - {column: L, row: 3695, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3696 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3696, expected_value: E12000001, label: geography} + - {column: D, row: 3696, expected_value: All persons, label: sex} + - {column: E, row: 3696, expected_value: Self-employed, label: employment type} + - {column: J, row: 3696, expected_value: Value, label: measure} + - {column: L, row: 3697, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3700 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3700, expected_value: E12000001, label: geography} + - {column: D, row: 3700, expected_value: All persons, label: sex} + - {column: E, row: 3700, expected_value: Self-employed, label: employment type} + - {column: J, row: 3700, expected_value: Value, label: measure} + - {column: L, row: 3701, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3702 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3702, expected_value: E12000001, label: geography} + - {column: D, row: 3702, expected_value: All persons, label: sex} + - {column: E, row: 3702, expected_value: Self-employed, label: employment type} + - {column: J, row: 3702, expected_value: Value, label: measure} + - {column: L, row: 3703, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3704 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3704, expected_value: E12000001, label: geography} + - {column: D, row: 3704, expected_value: All persons, label: sex} + - {column: E, row: 3704, expected_value: Self-employed, label: employment type} + - {column: J, row: 3704, expected_value: Value, label: measure} + - {column: L, row: 3705, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3706 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3706, expected_value: E12000001, label: geography} + - {column: D, row: 3706, expected_value: All persons, label: sex} + - {column: E, row: 3706, expected_value: Self-employed, label: employment type} + - {column: J, row: 3706, expected_value: Value, label: measure} + - {column: L, row: 3707, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3710 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3710, expected_value: E12000001, label: geography} + - {column: D, row: 3710, expected_value: All persons, label: sex} + - {column: E, row: 3710, expected_value: Self-employed, label: employment type} + - {column: J, row: 3710, expected_value: Value, label: measure} + - {column: L, row: 3711, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3712 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3712, expected_value: E12000001, label: geography} + - {column: D, row: 3712, expected_value: All persons, label: sex} + - {column: E, row: 3712, expected_value: Self-employed, label: employment type} + - {column: J, row: 3712, expected_value: Value, label: measure} + - {column: L, row: 3713, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3714 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3714, expected_value: E12000001, label: geography} + - {column: D, row: 3714, expected_value: All persons, label: sex} + - {column: E, row: 3714, expected_value: Self-employed, label: employment type} + - {column: J, row: 3714, expected_value: Value, label: measure} + - {column: L, row: 3715, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3716 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3716, expected_value: E12000001, label: geography} + - {column: D, row: 3716, expected_value: All persons, label: sex} + - {column: E, row: 3716, expected_value: Self-employed, label: employment type} + - {column: J, row: 3716, expected_value: Value, label: measure} + - {column: L, row: 3717, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3718 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3718, expected_value: E12000001, label: geography} + - {column: D, row: 3718, expected_value: All persons, label: sex} + - {column: E, row: 3718, expected_value: Self-employed, label: employment type} + - {column: J, row: 3718, expected_value: Value, label: measure} + - {column: L, row: 3719, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3720 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3720, expected_value: E12000001, label: geography} + - {column: D, row: 3720, expected_value: All persons, label: sex} + - {column: E, row: 3720, expected_value: Self-employed, label: employment type} + - {column: J, row: 3720, expected_value: Value, label: measure} + - {column: L, row: 3721, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3722 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3722, expected_value: E12000001, label: geography} + - {column: D, row: 3722, expected_value: All persons, label: sex} + - {column: E, row: 3722, expected_value: Self-employed, label: employment type} + - {column: J, row: 3722, expected_value: Value, label: measure} + - {column: L, row: 3723, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3724 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3724, expected_value: E12000001, label: geography} + - {column: D, row: 3724, expected_value: All persons, label: sex} + - {column: E, row: 3724, expected_value: Self-employed, label: employment type} + - {column: J, row: 3724, expected_value: Value, label: measure} + - {column: L, row: 3725, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3728 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3728, expected_value: E12000001, label: geography} + - {column: D, row: 3728, expected_value: All persons, label: sex} + - {column: E, row: 3728, expected_value: Self-employed, label: employment type} + - {column: J, row: 3728, expected_value: Value, label: measure} + - {column: L, row: 3729, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3730 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3730, expected_value: E12000001, label: geography} + - {column: D, row: 3730, expected_value: All persons, label: sex} + - {column: E, row: 3730, expected_value: Self-employed, label: employment type} + - {column: J, row: 3730, expected_value: Value, label: measure} + - {column: L, row: 3731, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3732 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3732, expected_value: E12000001, label: geography} + - {column: D, row: 3732, expected_value: All persons, label: sex} + - {column: E, row: 3732, expected_value: Self-employed, label: employment type} + - {column: J, row: 3732, expected_value: Value, label: measure} + - {column: L, row: 3733, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3734 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3734, expected_value: E12000001, label: geography} + - {column: D, row: 3734, expected_value: All persons, label: sex} + - {column: E, row: 3734, expected_value: Self-employed, label: employment type} + - {column: J, row: 3734, expected_value: Value, label: measure} + - {column: L, row: 3735, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3736 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3736, expected_value: E12000001, label: geography} + - {column: D, row: 3736, expected_value: All persons, label: sex} + - {column: E, row: 3736, expected_value: Self-employed, label: employment type} + - {column: J, row: 3736, expected_value: Value, label: measure} + - {column: L, row: 3737, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3738 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3738, expected_value: E12000001, label: geography} + - {column: D, row: 3738, expected_value: All persons, label: sex} + - {column: E, row: 3738, expected_value: Self-employed, label: employment type} + - {column: J, row: 3738, expected_value: Value, label: measure} + - {column: L, row: 3739, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3740 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3740, expected_value: E12000001, label: geography} + - {column: D, row: 3740, expected_value: All persons, label: sex} + - {column: E, row: 3740, expected_value: Self-employed, label: employment type} + - {column: J, row: 3740, expected_value: Value, label: measure} + - {column: L, row: 3741, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3742 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3742, expected_value: E12000001, label: geography} + - {column: D, row: 3742, expected_value: All persons, label: sex} + - {column: E, row: 3742, expected_value: Self-employed, label: employment type} + - {column: J, row: 3742, expected_value: Value, label: measure} + - {column: L, row: 3743, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3744 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3744, expected_value: E12000001, label: geography} + - {column: D, row: 3744, expected_value: All persons, label: sex} + - {column: E, row: 3744, expected_value: Self-employed, label: employment type} + - {column: J, row: 3744, expected_value: Value, label: measure} + - {column: L, row: 3745, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3675 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3675, expected_value: E12000001, label: geography} + - {column: D, row: 3675, expected_value: All persons, label: sex} + - {column: E, row: 3675, expected_value: Self-employed, label: employment type} + - {column: J, row: 3675, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3677 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3677, expected_value: E12000001, label: geography} + - {column: D, row: 3677, expected_value: All persons, label: sex} + - {column: E, row: 3677, expected_value: Self-employed, label: employment type} + - {column: J, row: 3677, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3679 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3679, expected_value: E12000001, label: geography} + - {column: D, row: 3679, expected_value: All persons, label: sex} + - {column: E, row: 3679, expected_value: Self-employed, label: employment type} + - {column: J, row: 3679, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3681 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3681, expected_value: E12000001, label: geography} + - {column: D, row: 3681, expected_value: All persons, label: sex} + - {column: E, row: 3681, expected_value: Self-employed, label: employment type} + - {column: J, row: 3681, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3683 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3683, expected_value: E12000001, label: geography} + - {column: D, row: 3683, expected_value: All persons, label: sex} + - {column: E, row: 3683, expected_value: Self-employed, label: employment type} + - {column: J, row: 3683, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3685 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3685, expected_value: E12000001, label: geography} + - {column: D, row: 3685, expected_value: All persons, label: sex} + - {column: E, row: 3685, expected_value: Self-employed, label: employment type} + - {column: J, row: 3685, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3687 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3687, expected_value: E12000001, label: geography} + - {column: D, row: 3687, expected_value: All persons, label: sex} + - {column: E, row: 3687, expected_value: Self-employed, label: employment type} + - {column: J, row: 3687, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3689 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3689, expected_value: E12000001, label: geography} + - {column: D, row: 3689, expected_value: All persons, label: sex} + - {column: E, row: 3689, expected_value: Self-employed, label: employment type} + - {column: J, row: 3689, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3691 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3691, expected_value: E12000001, label: geography} + - {column: D, row: 3691, expected_value: All persons, label: sex} + - {column: E, row: 3691, expected_value: Self-employed, label: employment type} + - {column: J, row: 3691, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3693 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3693, expected_value: E12000001, label: geography} + - {column: D, row: 3693, expected_value: All persons, label: sex} + - {column: E, row: 3693, expected_value: Self-employed, label: employment type} + - {column: J, row: 3693, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3701 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3701, expected_value: E12000001, label: geography} + - {column: D, row: 3701, expected_value: All persons, label: sex} + - {column: E, row: 3701, expected_value: Self-employed, label: employment type} + - {column: J, row: 3701, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3703 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3703, expected_value: E12000001, label: geography} + - {column: D, row: 3703, expected_value: All persons, label: sex} + - {column: E, row: 3703, expected_value: Self-employed, label: employment type} + - {column: J, row: 3703, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3705 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3705, expected_value: E12000001, label: geography} + - {column: D, row: 3705, expected_value: All persons, label: sex} + - {column: E, row: 3705, expected_value: Self-employed, label: employment type} + - {column: J, row: 3705, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3707 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3707, expected_value: E12000001, label: geography} + - {column: D, row: 3707, expected_value: All persons, label: sex} + - {column: E, row: 3707, expected_value: Self-employed, label: employment type} + - {column: J, row: 3707, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3711 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3711, expected_value: E12000001, label: geography} + - {column: D, row: 3711, expected_value: All persons, label: sex} + - {column: E, row: 3711, expected_value: Self-employed, label: employment type} + - {column: J, row: 3711, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3713 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3713, expected_value: E12000001, label: geography} + - {column: D, row: 3713, expected_value: All persons, label: sex} + - {column: E, row: 3713, expected_value: Self-employed, label: employment type} + - {column: J, row: 3713, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3715 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3715, expected_value: E12000001, label: geography} + - {column: D, row: 3715, expected_value: All persons, label: sex} + - {column: E, row: 3715, expected_value: Self-employed, label: employment type} + - {column: J, row: 3715, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3717 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3717, expected_value: E12000001, label: geography} + - {column: D, row: 3717, expected_value: All persons, label: sex} + - {column: E, row: 3717, expected_value: Self-employed, label: employment type} + - {column: J, row: 3717, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3719 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3719, expected_value: E12000001, label: geography} + - {column: D, row: 3719, expected_value: All persons, label: sex} + - {column: E, row: 3719, expected_value: Self-employed, label: employment type} + - {column: J, row: 3719, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3721 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3721, expected_value: E12000001, label: geography} + - {column: D, row: 3721, expected_value: All persons, label: sex} + - {column: E, row: 3721, expected_value: Self-employed, label: employment type} + - {column: J, row: 3721, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3723 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3723, expected_value: E12000001, label: geography} + - {column: D, row: 3723, expected_value: All persons, label: sex} + - {column: E, row: 3723, expected_value: Self-employed, label: employment type} + - {column: J, row: 3723, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3725 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3725, expected_value: E12000001, label: geography} + - {column: D, row: 3725, expected_value: All persons, label: sex} + - {column: E, row: 3725, expected_value: Self-employed, label: employment type} + - {column: J, row: 3725, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3729 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3729, expected_value: E12000001, label: geography} + - {column: D, row: 3729, expected_value: All persons, label: sex} + - {column: E, row: 3729, expected_value: Self-employed, label: employment type} + - {column: J, row: 3729, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3731 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3731, expected_value: E12000001, label: geography} + - {column: D, row: 3731, expected_value: All persons, label: sex} + - {column: E, row: 3731, expected_value: Self-employed, label: employment type} + - {column: J, row: 3731, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3735 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3735, expected_value: E12000001, label: geography} + - {column: D, row: 3735, expected_value: All persons, label: sex} + - {column: E, row: 3735, expected_value: Self-employed, label: employment type} + - {column: J, row: 3735, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3737 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3737, expected_value: E12000001, label: geography} + - {column: D, row: 3737, expected_value: All persons, label: sex} + - {column: E, row: 3737, expected_value: Self-employed, label: employment type} + - {column: J, row: 3737, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3739 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3739, expected_value: E12000001, label: geography} + - {column: D, row: 3739, expected_value: All persons, label: sex} + - {column: E, row: 3739, expected_value: Self-employed, label: employment type} + - {column: J, row: 3739, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3741 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3741, expected_value: E12000001, label: geography} + - {column: D, row: 3741, expected_value: All persons, label: sex} + - {column: E, row: 3741, expected_value: Self-employed, label: employment type} + - {column: J, row: 3741, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3745 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3745, expected_value: E12000001, label: geography} + - {column: D, row: 3745, expected_value: All persons, label: sex} + - {column: E, row: 3745, expected_value: Self-employed, label: employment type} + - {column: J, row: 3745, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3314 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3314, expected_value: E12000001, label: geography} + - {column: D, row: 3314, expected_value: Males, label: sex} + - {column: E, row: 3314, expected_value: Total, label: employment type} + - {column: J, row: 3314, expected_value: Value, label: measure} + - {column: L, row: 3315, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3316 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3316, expected_value: E12000001, label: geography} + - {column: D, row: 3316, expected_value: Males, label: sex} + - {column: E, row: 3316, expected_value: Total, label: employment type} + - {column: J, row: 3316, expected_value: Value, label: measure} + - {column: L, row: 3317, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3318 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3318, expected_value: E12000001, label: geography} + - {column: D, row: 3318, expected_value: Males, label: sex} + - {column: E, row: 3318, expected_value: Total, label: employment type} + - {column: J, row: 3318, expected_value: Value, label: measure} + - {column: L, row: 3319, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3320 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3320, expected_value: E12000001, label: geography} + - {column: D, row: 3320, expected_value: Males, label: sex} + - {column: E, row: 3320, expected_value: Total, label: employment type} + - {column: J, row: 3320, expected_value: Value, label: measure} + - {column: L, row: 3321, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3322 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3322, expected_value: E12000001, label: geography} + - {column: D, row: 3322, expected_value: Males, label: sex} + - {column: E, row: 3322, expected_value: Total, label: employment type} + - {column: J, row: 3322, expected_value: Value, label: measure} + - {column: L, row: 3323, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3324 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3324, expected_value: E12000001, label: geography} + - {column: D, row: 3324, expected_value: Males, label: sex} + - {column: E, row: 3324, expected_value: Total, label: employment type} + - {column: J, row: 3324, expected_value: Value, label: measure} + - {column: L, row: 3325, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3326 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3326, expected_value: E12000001, label: geography} + - {column: D, row: 3326, expected_value: Males, label: sex} + - {column: E, row: 3326, expected_value: Total, label: employment type} + - {column: J, row: 3326, expected_value: Value, label: measure} + - {column: L, row: 3327, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3328 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3328, expected_value: E12000001, label: geography} + - {column: D, row: 3328, expected_value: Males, label: sex} + - {column: E, row: 3328, expected_value: Total, label: employment type} + - {column: J, row: 3328, expected_value: Value, label: measure} + - {column: L, row: 3329, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3330 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3330, expected_value: E12000001, label: geography} + - {column: D, row: 3330, expected_value: Males, label: sex} + - {column: E, row: 3330, expected_value: Total, label: employment type} + - {column: J, row: 3330, expected_value: Value, label: measure} + - {column: L, row: 3331, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3332 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3332, expected_value: E12000001, label: geography} + - {column: D, row: 3332, expected_value: Males, label: sex} + - {column: E, row: 3332, expected_value: Total, label: employment type} + - {column: J, row: 3332, expected_value: Value, label: measure} + - {column: L, row: 3333, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3334 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3334, expected_value: E12000001, label: geography} + - {column: D, row: 3334, expected_value: Males, label: sex} + - {column: E, row: 3334, expected_value: Total, label: employment type} + - {column: J, row: 3334, expected_value: Value, label: measure} + - {column: L, row: 3335, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3336 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3336, expected_value: E12000001, label: geography} + - {column: D, row: 3336, expected_value: Males, label: sex} + - {column: E, row: 3336, expected_value: Total, label: employment type} + - {column: J, row: 3336, expected_value: Value, label: measure} + - {column: L, row: 3337, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3338 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3338, expected_value: E12000001, label: geography} + - {column: D, row: 3338, expected_value: Males, label: sex} + - {column: E, row: 3338, expected_value: Total, label: employment type} + - {column: J, row: 3338, expected_value: Value, label: measure} + - {column: L, row: 3339, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3340 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3340, expected_value: E12000001, label: geography} + - {column: D, row: 3340, expected_value: Males, label: sex} + - {column: E, row: 3340, expected_value: Total, label: employment type} + - {column: J, row: 3340, expected_value: Value, label: measure} + - {column: L, row: 3341, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3342 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3342, expected_value: E12000001, label: geography} + - {column: D, row: 3342, expected_value: Males, label: sex} + - {column: E, row: 3342, expected_value: Total, label: employment type} + - {column: J, row: 3342, expected_value: Value, label: measure} + - {column: L, row: 3343, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3344 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3344, expected_value: E12000001, label: geography} + - {column: D, row: 3344, expected_value: Males, label: sex} + - {column: E, row: 3344, expected_value: Total, label: employment type} + - {column: J, row: 3344, expected_value: Value, label: measure} + - {column: L, row: 3345, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3346 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3346, expected_value: E12000001, label: geography} + - {column: D, row: 3346, expected_value: Males, label: sex} + - {column: E, row: 3346, expected_value: Total, label: employment type} + - {column: J, row: 3346, expected_value: Value, label: measure} + - {column: L, row: 3347, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3348 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3348, expected_value: E12000001, label: geography} + - {column: D, row: 3348, expected_value: Males, label: sex} + - {column: E, row: 3348, expected_value: Total, label: employment type} + - {column: J, row: 3348, expected_value: Value, label: measure} + - {column: L, row: 3349, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3350 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3350, expected_value: E12000001, label: geography} + - {column: D, row: 3350, expected_value: Males, label: sex} + - {column: E, row: 3350, expected_value: Total, label: employment type} + - {column: J, row: 3350, expected_value: Value, label: measure} + - {column: L, row: 3351, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3352 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3352, expected_value: E12000001, label: geography} + - {column: D, row: 3352, expected_value: Males, label: sex} + - {column: E, row: 3352, expected_value: Total, label: employment type} + - {column: J, row: 3352, expected_value: Value, label: measure} + - {column: L, row: 3353, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3354 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3354, expected_value: E12000001, label: geography} + - {column: D, row: 3354, expected_value: Males, label: sex} + - {column: E, row: 3354, expected_value: Total, label: employment type} + - {column: J, row: 3354, expected_value: Value, label: measure} + - {column: L, row: 3355, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3356 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3356, expected_value: E12000001, label: geography} + - {column: D, row: 3356, expected_value: Males, label: sex} + - {column: E, row: 3356, expected_value: Total, label: employment type} + - {column: J, row: 3356, expected_value: Value, label: measure} + - {column: L, row: 3357, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3358 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3358, expected_value: E12000001, label: geography} + - {column: D, row: 3358, expected_value: Males, label: sex} + - {column: E, row: 3358, expected_value: Total, label: employment type} + - {column: J, row: 3358, expected_value: Value, label: measure} + - {column: L, row: 3359, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3360 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3360, expected_value: E12000001, label: geography} + - {column: D, row: 3360, expected_value: Males, label: sex} + - {column: E, row: 3360, expected_value: Total, label: employment type} + - {column: J, row: 3360, expected_value: Value, label: measure} + - {column: L, row: 3361, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3362 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3362, expected_value: E12000001, label: geography} + - {column: D, row: 3362, expected_value: Males, label: sex} + - {column: E, row: 3362, expected_value: Total, label: employment type} + - {column: J, row: 3362, expected_value: Value, label: measure} + - {column: L, row: 3363, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3364 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3364, expected_value: E12000001, label: geography} + - {column: D, row: 3364, expected_value: Males, label: sex} + - {column: E, row: 3364, expected_value: Total, label: employment type} + - {column: J, row: 3364, expected_value: Value, label: measure} + - {column: L, row: 3365, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3366 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3366, expected_value: E12000001, label: geography} + - {column: D, row: 3366, expected_value: Males, label: sex} + - {column: E, row: 3366, expected_value: Total, label: employment type} + - {column: J, row: 3366, expected_value: Value, label: measure} + - {column: L, row: 3367, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3368 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3368, expected_value: E12000001, label: geography} + - {column: D, row: 3368, expected_value: Males, label: sex} + - {column: E, row: 3368, expected_value: Total, label: employment type} + - {column: J, row: 3368, expected_value: Value, label: measure} + - {column: L, row: 3369, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3370 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3370, expected_value: E12000001, label: geography} + - {column: D, row: 3370, expected_value: Males, label: sex} + - {column: E, row: 3370, expected_value: Total, label: employment type} + - {column: J, row: 3370, expected_value: Value, label: measure} + - {column: L, row: 3371, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3372 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3372, expected_value: E12000001, label: geography} + - {column: D, row: 3372, expected_value: Males, label: sex} + - {column: E, row: 3372, expected_value: Total, label: employment type} + - {column: J, row: 3372, expected_value: Value, label: measure} + - {column: L, row: 3373, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3374 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3374, expected_value: E12000001, label: geography} + - {column: D, row: 3374, expected_value: Males, label: sex} + - {column: E, row: 3374, expected_value: Total, label: employment type} + - {column: J, row: 3374, expected_value: Value, label: measure} + - {column: L, row: 3375, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3376 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3376, expected_value: E12000001, label: geography} + - {column: D, row: 3376, expected_value: Males, label: sex} + - {column: E, row: 3376, expected_value: Total, label: employment type} + - {column: J, row: 3376, expected_value: Value, label: measure} + - {column: L, row: 3377, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3378 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3378, expected_value: E12000001, label: geography} + - {column: D, row: 3378, expected_value: Males, label: sex} + - {column: E, row: 3378, expected_value: Total, label: employment type} + - {column: J, row: 3378, expected_value: Value, label: measure} + - {column: L, row: 3379, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3380 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3380, expected_value: E12000001, label: geography} + - {column: D, row: 3380, expected_value: Males, label: sex} + - {column: E, row: 3380, expected_value: Total, label: employment type} + - {column: J, row: 3380, expected_value: Value, label: measure} + - {column: L, row: 3381, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3382 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3382, expected_value: E12000001, label: geography} + - {column: D, row: 3382, expected_value: Males, label: sex} + - {column: E, row: 3382, expected_value: Total, label: employment type} + - {column: J, row: 3382, expected_value: Value, label: measure} + - {column: L, row: 3383, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3384 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3384, expected_value: E12000001, label: geography} + - {column: D, row: 3384, expected_value: Males, label: sex} + - {column: E, row: 3384, expected_value: Total, label: employment type} + - {column: J, row: 3384, expected_value: Value, label: measure} + - {column: L, row: 3385, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3315 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3315, expected_value: E12000001, label: geography} + - {column: D, row: 3315, expected_value: Males, label: sex} + - {column: E, row: 3315, expected_value: Total, label: employment type} + - {column: J, row: 3315, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3317 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3317, expected_value: E12000001, label: geography} + - {column: D, row: 3317, expected_value: Males, label: sex} + - {column: E, row: 3317, expected_value: Total, label: employment type} + - {column: J, row: 3317, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3319 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3319, expected_value: E12000001, label: geography} + - {column: D, row: 3319, expected_value: Males, label: sex} + - {column: E, row: 3319, expected_value: Total, label: employment type} + - {column: J, row: 3319, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3321 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3321, expected_value: E12000001, label: geography} + - {column: D, row: 3321, expected_value: Males, label: sex} + - {column: E, row: 3321, expected_value: Total, label: employment type} + - {column: J, row: 3321, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3323 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3323, expected_value: E12000001, label: geography} + - {column: D, row: 3323, expected_value: Males, label: sex} + - {column: E, row: 3323, expected_value: Total, label: employment type} + - {column: J, row: 3323, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3325 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3325, expected_value: E12000001, label: geography} + - {column: D, row: 3325, expected_value: Males, label: sex} + - {column: E, row: 3325, expected_value: Total, label: employment type} + - {column: J, row: 3325, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3327 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3327, expected_value: E12000001, label: geography} + - {column: D, row: 3327, expected_value: Males, label: sex} + - {column: E, row: 3327, expected_value: Total, label: employment type} + - {column: J, row: 3327, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3329 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3329, expected_value: E12000001, label: geography} + - {column: D, row: 3329, expected_value: Males, label: sex} + - {column: E, row: 3329, expected_value: Total, label: employment type} + - {column: J, row: 3329, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3331 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3331, expected_value: E12000001, label: geography} + - {column: D, row: 3331, expected_value: Males, label: sex} + - {column: E, row: 3331, expected_value: Total, label: employment type} + - {column: J, row: 3331, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3333 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3333, expected_value: E12000001, label: geography} + - {column: D, row: 3333, expected_value: Males, label: sex} + - {column: E, row: 3333, expected_value: Total, label: employment type} + - {column: J, row: 3333, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3335 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3335, expected_value: E12000001, label: geography} + - {column: D, row: 3335, expected_value: Males, label: sex} + - {column: E, row: 3335, expected_value: Total, label: employment type} + - {column: J, row: 3335, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3337 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3337, expected_value: E12000001, label: geography} + - {column: D, row: 3337, expected_value: Males, label: sex} + - {column: E, row: 3337, expected_value: Total, label: employment type} + - {column: J, row: 3337, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3339 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3339, expected_value: E12000001, label: geography} + - {column: D, row: 3339, expected_value: Males, label: sex} + - {column: E, row: 3339, expected_value: Total, label: employment type} + - {column: J, row: 3339, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3341 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3341, expected_value: E12000001, label: geography} + - {column: D, row: 3341, expected_value: Males, label: sex} + - {column: E, row: 3341, expected_value: Total, label: employment type} + - {column: J, row: 3341, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3343 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3343, expected_value: E12000001, label: geography} + - {column: D, row: 3343, expected_value: Males, label: sex} + - {column: E, row: 3343, expected_value: Total, label: employment type} + - {column: J, row: 3343, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3345 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3345, expected_value: E12000001, label: geography} + - {column: D, row: 3345, expected_value: Males, label: sex} + - {column: E, row: 3345, expected_value: Total, label: employment type} + - {column: J, row: 3345, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3347 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3347, expected_value: E12000001, label: geography} + - {column: D, row: 3347, expected_value: Males, label: sex} + - {column: E, row: 3347, expected_value: Total, label: employment type} + - {column: J, row: 3347, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3351 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3351, expected_value: E12000001, label: geography} + - {column: D, row: 3351, expected_value: Males, label: sex} + - {column: E, row: 3351, expected_value: Total, label: employment type} + - {column: J, row: 3351, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3353 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3353, expected_value: E12000001, label: geography} + - {column: D, row: 3353, expected_value: Males, label: sex} + - {column: E, row: 3353, expected_value: Total, label: employment type} + - {column: J, row: 3353, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3355 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3355, expected_value: E12000001, label: geography} + - {column: D, row: 3355, expected_value: Males, label: sex} + - {column: E, row: 3355, expected_value: Total, label: employment type} + - {column: J, row: 3355, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3357 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3357, expected_value: E12000001, label: geography} + - {column: D, row: 3357, expected_value: Males, label: sex} + - {column: E, row: 3357, expected_value: Total, label: employment type} + - {column: J, row: 3357, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3359 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3359, expected_value: E12000001, label: geography} + - {column: D, row: 3359, expected_value: Males, label: sex} + - {column: E, row: 3359, expected_value: Total, label: employment type} + - {column: J, row: 3359, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3361 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3361, expected_value: E12000001, label: geography} + - {column: D, row: 3361, expected_value: Males, label: sex} + - {column: E, row: 3361, expected_value: Total, label: employment type} + - {column: J, row: 3361, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3363 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3363, expected_value: E12000001, label: geography} + - {column: D, row: 3363, expected_value: Males, label: sex} + - {column: E, row: 3363, expected_value: Total, label: employment type} + - {column: J, row: 3363, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3365 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3365, expected_value: E12000001, label: geography} + - {column: D, row: 3365, expected_value: Males, label: sex} + - {column: E, row: 3365, expected_value: Total, label: employment type} + - {column: J, row: 3365, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3369 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3369, expected_value: E12000001, label: geography} + - {column: D, row: 3369, expected_value: Males, label: sex} + - {column: E, row: 3369, expected_value: Total, label: employment type} + - {column: J, row: 3369, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3371 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3371, expected_value: E12000001, label: geography} + - {column: D, row: 3371, expected_value: Males, label: sex} + - {column: E, row: 3371, expected_value: Total, label: employment type} + - {column: J, row: 3371, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3373 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3373, expected_value: E12000001, label: geography} + - {column: D, row: 3373, expected_value: Males, label: sex} + - {column: E, row: 3373, expected_value: Total, label: employment type} + - {column: J, row: 3373, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3375 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3375, expected_value: E12000001, label: geography} + - {column: D, row: 3375, expected_value: Males, label: sex} + - {column: E, row: 3375, expected_value: Total, label: employment type} + - {column: J, row: 3375, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3377 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3377, expected_value: E12000001, label: geography} + - {column: D, row: 3377, expected_value: Males, label: sex} + - {column: E, row: 3377, expected_value: Total, label: employment type} + - {column: J, row: 3377, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3379 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3379, expected_value: E12000001, label: geography} + - {column: D, row: 3379, expected_value: Males, label: sex} + - {column: E, row: 3379, expected_value: Total, label: employment type} + - {column: J, row: 3379, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3381 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3381, expected_value: E12000001, label: geography} + - {column: D, row: 3381, expected_value: Males, label: sex} + - {column: E, row: 3381, expected_value: Total, label: employment type} + - {column: J, row: 3381, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3383 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3383, expected_value: E12000001, label: geography} + - {column: D, row: 3383, expected_value: Males, label: sex} + - {column: E, row: 3383, expected_value: Total, label: employment type} + - {column: J, row: 3383, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3385 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3385, expected_value: E12000001, label: geography} + - {column: D, row: 3385, expected_value: Males, label: sex} + - {column: E, row: 3385, expected_value: Total, label: employment type} + - {column: J, row: 3385, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3530 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3530, expected_value: E12000001, label: geography} + - {column: D, row: 3530, expected_value: Males, label: sex} + - {column: E, row: 3530, expected_value: Employee, label: employment type} + - {column: J, row: 3530, expected_value: Value, label: measure} + - {column: L, row: 3531, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3532 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3532, expected_value: E12000001, label: geography} + - {column: D, row: 3532, expected_value: Males, label: sex} + - {column: E, row: 3532, expected_value: Employee, label: employment type} + - {column: J, row: 3532, expected_value: Value, label: measure} + - {column: L, row: 3533, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3534 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3534, expected_value: E12000001, label: geography} + - {column: D, row: 3534, expected_value: Males, label: sex} + - {column: E, row: 3534, expected_value: Employee, label: employment type} + - {column: J, row: 3534, expected_value: Value, label: measure} + - {column: L, row: 3535, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3536 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3536, expected_value: E12000001, label: geography} + - {column: D, row: 3536, expected_value: Males, label: sex} + - {column: E, row: 3536, expected_value: Employee, label: employment type} + - {column: J, row: 3536, expected_value: Value, label: measure} + - {column: L, row: 3537, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3538 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3538, expected_value: E12000001, label: geography} + - {column: D, row: 3538, expected_value: Males, label: sex} + - {column: E, row: 3538, expected_value: Employee, label: employment type} + - {column: J, row: 3538, expected_value: Value, label: measure} + - {column: L, row: 3539, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3540 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3540, expected_value: E12000001, label: geography} + - {column: D, row: 3540, expected_value: Males, label: sex} + - {column: E, row: 3540, expected_value: Employee, label: employment type} + - {column: J, row: 3540, expected_value: Value, label: measure} + - {column: L, row: 3541, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3542 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3542, expected_value: E12000001, label: geography} + - {column: D, row: 3542, expected_value: Males, label: sex} + - {column: E, row: 3542, expected_value: Employee, label: employment type} + - {column: J, row: 3542, expected_value: Value, label: measure} + - {column: L, row: 3543, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3544 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3544, expected_value: E12000001, label: geography} + - {column: D, row: 3544, expected_value: Males, label: sex} + - {column: E, row: 3544, expected_value: Employee, label: employment type} + - {column: J, row: 3544, expected_value: Value, label: measure} + - {column: L, row: 3545, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3546 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3546, expected_value: E12000001, label: geography} + - {column: D, row: 3546, expected_value: Males, label: sex} + - {column: E, row: 3546, expected_value: Employee, label: employment type} + - {column: J, row: 3546, expected_value: Value, label: measure} + - {column: L, row: 3547, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3548 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3548, expected_value: E12000001, label: geography} + - {column: D, row: 3548, expected_value: Males, label: sex} + - {column: E, row: 3548, expected_value: Employee, label: employment type} + - {column: J, row: 3548, expected_value: Value, label: measure} + - {column: L, row: 3549, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3550 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3550, expected_value: E12000001, label: geography} + - {column: D, row: 3550, expected_value: Males, label: sex} + - {column: E, row: 3550, expected_value: Employee, label: employment type} + - {column: J, row: 3550, expected_value: Value, label: measure} + - {column: L, row: 3551, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3552 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3552, expected_value: E12000001, label: geography} + - {column: D, row: 3552, expected_value: Males, label: sex} + - {column: E, row: 3552, expected_value: Employee, label: employment type} + - {column: J, row: 3552, expected_value: Value, label: measure} + - {column: L, row: 3553, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3554 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3554, expected_value: E12000001, label: geography} + - {column: D, row: 3554, expected_value: Males, label: sex} + - {column: E, row: 3554, expected_value: Employee, label: employment type} + - {column: J, row: 3554, expected_value: Value, label: measure} + - {column: L, row: 3555, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3556 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3556, expected_value: E12000001, label: geography} + - {column: D, row: 3556, expected_value: Males, label: sex} + - {column: E, row: 3556, expected_value: Employee, label: employment type} + - {column: J, row: 3556, expected_value: Value, label: measure} + - {column: L, row: 3557, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3558 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3558, expected_value: E12000001, label: geography} + - {column: D, row: 3558, expected_value: Males, label: sex} + - {column: E, row: 3558, expected_value: Employee, label: employment type} + - {column: J, row: 3558, expected_value: Value, label: measure} + - {column: L, row: 3559, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3560 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3560, expected_value: E12000001, label: geography} + - {column: D, row: 3560, expected_value: Males, label: sex} + - {column: E, row: 3560, expected_value: Employee, label: employment type} + - {column: J, row: 3560, expected_value: Value, label: measure} + - {column: L, row: 3561, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3562 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3562, expected_value: E12000001, label: geography} + - {column: D, row: 3562, expected_value: Males, label: sex} + - {column: E, row: 3562, expected_value: Employee, label: employment type} + - {column: J, row: 3562, expected_value: Value, label: measure} + - {column: L, row: 3563, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3564 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3564, expected_value: E12000001, label: geography} + - {column: D, row: 3564, expected_value: Males, label: sex} + - {column: E, row: 3564, expected_value: Employee, label: employment type} + - {column: J, row: 3564, expected_value: Value, label: measure} + - {column: L, row: 3565, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3566 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3566, expected_value: E12000001, label: geography} + - {column: D, row: 3566, expected_value: Males, label: sex} + - {column: E, row: 3566, expected_value: Employee, label: employment type} + - {column: J, row: 3566, expected_value: Value, label: measure} + - {column: L, row: 3567, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3568 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3568, expected_value: E12000001, label: geography} + - {column: D, row: 3568, expected_value: Males, label: sex} + - {column: E, row: 3568, expected_value: Employee, label: employment type} + - {column: J, row: 3568, expected_value: Value, label: measure} + - {column: L, row: 3569, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3570 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3570, expected_value: E12000001, label: geography} + - {column: D, row: 3570, expected_value: Males, label: sex} + - {column: E, row: 3570, expected_value: Employee, label: employment type} + - {column: J, row: 3570, expected_value: Value, label: measure} + - {column: L, row: 3571, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3572 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3572, expected_value: E12000001, label: geography} + - {column: D, row: 3572, expected_value: Males, label: sex} + - {column: E, row: 3572, expected_value: Employee, label: employment type} + - {column: J, row: 3572, expected_value: Value, label: measure} + - {column: L, row: 3573, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3574 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3574, expected_value: E12000001, label: geography} + - {column: D, row: 3574, expected_value: Males, label: sex} + - {column: E, row: 3574, expected_value: Employee, label: employment type} + - {column: J, row: 3574, expected_value: Value, label: measure} + - {column: L, row: 3575, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3576 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3576, expected_value: E12000001, label: geography} + - {column: D, row: 3576, expected_value: Males, label: sex} + - {column: E, row: 3576, expected_value: Employee, label: employment type} + - {column: J, row: 3576, expected_value: Value, label: measure} + - {column: L, row: 3577, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3578 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3578, expected_value: E12000001, label: geography} + - {column: D, row: 3578, expected_value: Males, label: sex} + - {column: E, row: 3578, expected_value: Employee, label: employment type} + - {column: J, row: 3578, expected_value: Value, label: measure} + - {column: L, row: 3579, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3580 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3580, expected_value: E12000001, label: geography} + - {column: D, row: 3580, expected_value: Males, label: sex} + - {column: E, row: 3580, expected_value: Employee, label: employment type} + - {column: J, row: 3580, expected_value: Value, label: measure} + - {column: L, row: 3581, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3582 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3582, expected_value: E12000001, label: geography} + - {column: D, row: 3582, expected_value: Males, label: sex} + - {column: E, row: 3582, expected_value: Employee, label: employment type} + - {column: J, row: 3582, expected_value: Value, label: measure} + - {column: L, row: 3583, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3584 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3584, expected_value: E12000001, label: geography} + - {column: D, row: 3584, expected_value: Males, label: sex} + - {column: E, row: 3584, expected_value: Employee, label: employment type} + - {column: J, row: 3584, expected_value: Value, label: measure} + - {column: L, row: 3585, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3586 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3586, expected_value: E12000001, label: geography} + - {column: D, row: 3586, expected_value: Males, label: sex} + - {column: E, row: 3586, expected_value: Employee, label: employment type} + - {column: J, row: 3586, expected_value: Value, label: measure} + - {column: L, row: 3587, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3588 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3588, expected_value: E12000001, label: geography} + - {column: D, row: 3588, expected_value: Males, label: sex} + - {column: E, row: 3588, expected_value: Employee, label: employment type} + - {column: J, row: 3588, expected_value: Value, label: measure} + - {column: L, row: 3589, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3590 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3590, expected_value: E12000001, label: geography} + - {column: D, row: 3590, expected_value: Males, label: sex} + - {column: E, row: 3590, expected_value: Employee, label: employment type} + - {column: J, row: 3590, expected_value: Value, label: measure} + - {column: L, row: 3591, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3592 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3592, expected_value: E12000001, label: geography} + - {column: D, row: 3592, expected_value: Males, label: sex} + - {column: E, row: 3592, expected_value: Employee, label: employment type} + - {column: J, row: 3592, expected_value: Value, label: measure} + - {column: L, row: 3593, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3594 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3594, expected_value: E12000001, label: geography} + - {column: D, row: 3594, expected_value: Males, label: sex} + - {column: E, row: 3594, expected_value: Employee, label: employment type} + - {column: J, row: 3594, expected_value: Value, label: measure} + - {column: L, row: 3595, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3596 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3596, expected_value: E12000001, label: geography} + - {column: D, row: 3596, expected_value: Males, label: sex} + - {column: E, row: 3596, expected_value: Employee, label: employment type} + - {column: J, row: 3596, expected_value: Value, label: measure} + - {column: L, row: 3597, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3598 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3598, expected_value: E12000001, label: geography} + - {column: D, row: 3598, expected_value: Males, label: sex} + - {column: E, row: 3598, expected_value: Employee, label: employment type} + - {column: J, row: 3598, expected_value: Value, label: measure} + - {column: L, row: 3599, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3600 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3600, expected_value: E12000001, label: geography} + - {column: D, row: 3600, expected_value: Males, label: sex} + - {column: E, row: 3600, expected_value: Employee, label: employment type} + - {column: J, row: 3600, expected_value: Value, label: measure} + - {column: L, row: 3601, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3531 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3531, expected_value: E12000001, label: geography} + - {column: D, row: 3531, expected_value: Males, label: sex} + - {column: E, row: 3531, expected_value: Employee, label: employment type} + - {column: J, row: 3531, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3533 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3533, expected_value: E12000001, label: geography} + - {column: D, row: 3533, expected_value: Males, label: sex} + - {column: E, row: 3533, expected_value: Employee, label: employment type} + - {column: J, row: 3533, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3535 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3535, expected_value: E12000001, label: geography} + - {column: D, row: 3535, expected_value: Males, label: sex} + - {column: E, row: 3535, expected_value: Employee, label: employment type} + - {column: J, row: 3535, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3537 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3537, expected_value: E12000001, label: geography} + - {column: D, row: 3537, expected_value: Males, label: sex} + - {column: E, row: 3537, expected_value: Employee, label: employment type} + - {column: J, row: 3537, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3539 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3539, expected_value: E12000001, label: geography} + - {column: D, row: 3539, expected_value: Males, label: sex} + - {column: E, row: 3539, expected_value: Employee, label: employment type} + - {column: J, row: 3539, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3541 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3541, expected_value: E12000001, label: geography} + - {column: D, row: 3541, expected_value: Males, label: sex} + - {column: E, row: 3541, expected_value: Employee, label: employment type} + - {column: J, row: 3541, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3543 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3543, expected_value: E12000001, label: geography} + - {column: D, row: 3543, expected_value: Males, label: sex} + - {column: E, row: 3543, expected_value: Employee, label: employment type} + - {column: J, row: 3543, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3545 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3545, expected_value: E12000001, label: geography} + - {column: D, row: 3545, expected_value: Males, label: sex} + - {column: E, row: 3545, expected_value: Employee, label: employment type} + - {column: J, row: 3545, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3547 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3547, expected_value: E12000001, label: geography} + - {column: D, row: 3547, expected_value: Males, label: sex} + - {column: E, row: 3547, expected_value: Employee, label: employment type} + - {column: J, row: 3547, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3549 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3549, expected_value: E12000001, label: geography} + - {column: D, row: 3549, expected_value: Males, label: sex} + - {column: E, row: 3549, expected_value: Employee, label: employment type} + - {column: J, row: 3549, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3551 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3551, expected_value: E12000001, label: geography} + - {column: D, row: 3551, expected_value: Males, label: sex} + - {column: E, row: 3551, expected_value: Employee, label: employment type} + - {column: J, row: 3551, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3553 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3553, expected_value: E12000001, label: geography} + - {column: D, row: 3553, expected_value: Males, label: sex} + - {column: E, row: 3553, expected_value: Employee, label: employment type} + - {column: J, row: 3553, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3555 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3555, expected_value: E12000001, label: geography} + - {column: D, row: 3555, expected_value: Males, label: sex} + - {column: E, row: 3555, expected_value: Employee, label: employment type} + - {column: J, row: 3555, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3557 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3557, expected_value: E12000001, label: geography} + - {column: D, row: 3557, expected_value: Males, label: sex} + - {column: E, row: 3557, expected_value: Employee, label: employment type} + - {column: J, row: 3557, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3559 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3559, expected_value: E12000001, label: geography} + - {column: D, row: 3559, expected_value: Males, label: sex} + - {column: E, row: 3559, expected_value: Employee, label: employment type} + - {column: J, row: 3559, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3561 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3561, expected_value: E12000001, label: geography} + - {column: D, row: 3561, expected_value: Males, label: sex} + - {column: E, row: 3561, expected_value: Employee, label: employment type} + - {column: J, row: 3561, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3563 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3563, expected_value: E12000001, label: geography} + - {column: D, row: 3563, expected_value: Males, label: sex} + - {column: E, row: 3563, expected_value: Employee, label: employment type} + - {column: J, row: 3563, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3567 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3567, expected_value: E12000001, label: geography} + - {column: D, row: 3567, expected_value: Males, label: sex} + - {column: E, row: 3567, expected_value: Employee, label: employment type} + - {column: J, row: 3567, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3569 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3569, expected_value: E12000001, label: geography} + - {column: D, row: 3569, expected_value: Males, label: sex} + - {column: E, row: 3569, expected_value: Employee, label: employment type} + - {column: J, row: 3569, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3571 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3571, expected_value: E12000001, label: geography} + - {column: D, row: 3571, expected_value: Males, label: sex} + - {column: E, row: 3571, expected_value: Employee, label: employment type} + - {column: J, row: 3571, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3573 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3573, expected_value: E12000001, label: geography} + - {column: D, row: 3573, expected_value: Males, label: sex} + - {column: E, row: 3573, expected_value: Employee, label: employment type} + - {column: J, row: 3573, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3575 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3575, expected_value: E12000001, label: geography} + - {column: D, row: 3575, expected_value: Males, label: sex} + - {column: E, row: 3575, expected_value: Employee, label: employment type} + - {column: J, row: 3575, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3577 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3577, expected_value: E12000001, label: geography} + - {column: D, row: 3577, expected_value: Males, label: sex} + - {column: E, row: 3577, expected_value: Employee, label: employment type} + - {column: J, row: 3577, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3579 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3579, expected_value: E12000001, label: geography} + - {column: D, row: 3579, expected_value: Males, label: sex} + - {column: E, row: 3579, expected_value: Employee, label: employment type} + - {column: J, row: 3579, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3581 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3581, expected_value: E12000001, label: geography} + - {column: D, row: 3581, expected_value: Males, label: sex} + - {column: E, row: 3581, expected_value: Employee, label: employment type} + - {column: J, row: 3581, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3585 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3585, expected_value: E12000001, label: geography} + - {column: D, row: 3585, expected_value: Males, label: sex} + - {column: E, row: 3585, expected_value: Employee, label: employment type} + - {column: J, row: 3585, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3587 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3587, expected_value: E12000001, label: geography} + - {column: D, row: 3587, expected_value: Males, label: sex} + - {column: E, row: 3587, expected_value: Employee, label: employment type} + - {column: J, row: 3587, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3589 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3589, expected_value: E12000001, label: geography} + - {column: D, row: 3589, expected_value: Males, label: sex} + - {column: E, row: 3589, expected_value: Employee, label: employment type} + - {column: J, row: 3589, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3591 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3591, expected_value: E12000001, label: geography} + - {column: D, row: 3591, expected_value: Males, label: sex} + - {column: E, row: 3591, expected_value: Employee, label: employment type} + - {column: J, row: 3591, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3593 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3593, expected_value: E12000001, label: geography} + - {column: D, row: 3593, expected_value: Males, label: sex} + - {column: E, row: 3593, expected_value: Employee, label: employment type} + - {column: J, row: 3593, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3595 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3595, expected_value: E12000001, label: geography} + - {column: D, row: 3595, expected_value: Males, label: sex} + - {column: E, row: 3595, expected_value: Employee, label: employment type} + - {column: J, row: 3595, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3597 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3597, expected_value: E12000001, label: geography} + - {column: D, row: 3597, expected_value: Males, label: sex} + - {column: E, row: 3597, expected_value: Employee, label: employment type} + - {column: J, row: 3597, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3599 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3599, expected_value: E12000001, label: geography} + - {column: D, row: 3599, expected_value: Males, label: sex} + - {column: E, row: 3599, expected_value: Employee, label: employment type} + - {column: J, row: 3599, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3601 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3601, expected_value: E12000001, label: geography} + - {column: D, row: 3601, expected_value: Males, label: sex} + - {column: E, row: 3601, expected_value: Employee, label: employment type} + - {column: J, row: 3601, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3746 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3746, expected_value: E12000001, label: geography} + - {column: D, row: 3746, expected_value: Males, label: sex} + - {column: E, row: 3746, expected_value: Self-employed, label: employment type} + - {column: J, row: 3746, expected_value: Value, label: measure} + - {column: L, row: 3747, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3748 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3748, expected_value: E12000001, label: geography} + - {column: D, row: 3748, expected_value: Males, label: sex} + - {column: E, row: 3748, expected_value: Self-employed, label: employment type} + - {column: J, row: 3748, expected_value: Value, label: measure} + - {column: L, row: 3749, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3750 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3750, expected_value: E12000001, label: geography} + - {column: D, row: 3750, expected_value: Males, label: sex} + - {column: E, row: 3750, expected_value: Self-employed, label: employment type} + - {column: J, row: 3750, expected_value: Value, label: measure} + - {column: L, row: 3751, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3752 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3752, expected_value: E12000001, label: geography} + - {column: D, row: 3752, expected_value: Males, label: sex} + - {column: E, row: 3752, expected_value: Self-employed, label: employment type} + - {column: J, row: 3752, expected_value: Value, label: measure} + - {column: L, row: 3753, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3754 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3754, expected_value: E12000001, label: geography} + - {column: D, row: 3754, expected_value: Males, label: sex} + - {column: E, row: 3754, expected_value: Self-employed, label: employment type} + - {column: J, row: 3754, expected_value: Value, label: measure} + - {column: L, row: 3755, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3756 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3756, expected_value: E12000001, label: geography} + - {column: D, row: 3756, expected_value: Males, label: sex} + - {column: E, row: 3756, expected_value: Self-employed, label: employment type} + - {column: J, row: 3756, expected_value: Value, label: measure} + - {column: L, row: 3757, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3758 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3758, expected_value: E12000001, label: geography} + - {column: D, row: 3758, expected_value: Males, label: sex} + - {column: E, row: 3758, expected_value: Self-employed, label: employment type} + - {column: J, row: 3758, expected_value: Value, label: measure} + - {column: L, row: 3759, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3762 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3762, expected_value: E12000001, label: geography} + - {column: D, row: 3762, expected_value: Males, label: sex} + - {column: E, row: 3762, expected_value: Self-employed, label: employment type} + - {column: J, row: 3762, expected_value: Value, label: measure} + - {column: L, row: 3763, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3764 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3764, expected_value: E12000001, label: geography} + - {column: D, row: 3764, expected_value: Males, label: sex} + - {column: E, row: 3764, expected_value: Self-employed, label: employment type} + - {column: J, row: 3764, expected_value: Value, label: measure} + - {column: L, row: 3765, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3772 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3772, expected_value: E12000001, label: geography} + - {column: D, row: 3772, expected_value: Males, label: sex} + - {column: E, row: 3772, expected_value: Self-employed, label: employment type} + - {column: J, row: 3772, expected_value: Value, label: measure} + - {column: L, row: 3773, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3774 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3774, expected_value: E12000001, label: geography} + - {column: D, row: 3774, expected_value: Males, label: sex} + - {column: E, row: 3774, expected_value: Self-employed, label: employment type} + - {column: J, row: 3774, expected_value: Value, label: measure} + - {column: L, row: 3775, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3782 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3782, expected_value: E12000001, label: geography} + - {column: D, row: 3782, expected_value: Males, label: sex} + - {column: E, row: 3782, expected_value: Self-employed, label: employment type} + - {column: J, row: 3782, expected_value: Value, label: measure} + - {column: L, row: 3783, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3784 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3784, expected_value: E12000001, label: geography} + - {column: D, row: 3784, expected_value: Males, label: sex} + - {column: E, row: 3784, expected_value: Self-employed, label: employment type} + - {column: J, row: 3784, expected_value: Value, label: measure} + - {column: L, row: 3785, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3786 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3786, expected_value: E12000001, label: geography} + - {column: D, row: 3786, expected_value: Males, label: sex} + - {column: E, row: 3786, expected_value: Self-employed, label: employment type} + - {column: J, row: 3786, expected_value: Value, label: measure} + - {column: L, row: 3787, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3788 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3788, expected_value: E12000001, label: geography} + - {column: D, row: 3788, expected_value: Males, label: sex} + - {column: E, row: 3788, expected_value: Self-employed, label: employment type} + - {column: J, row: 3788, expected_value: Value, label: measure} + - {column: L, row: 3789, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3790 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3790, expected_value: E12000001, label: geography} + - {column: D, row: 3790, expected_value: Males, label: sex} + - {column: E, row: 3790, expected_value: Self-employed, label: employment type} + - {column: J, row: 3790, expected_value: Value, label: measure} + - {column: L, row: 3791, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3792 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3792, expected_value: E12000001, label: geography} + - {column: D, row: 3792, expected_value: Males, label: sex} + - {column: E, row: 3792, expected_value: Self-employed, label: employment type} + - {column: J, row: 3792, expected_value: Value, label: measure} + - {column: L, row: 3793, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3794 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3794, expected_value: E12000001, label: geography} + - {column: D, row: 3794, expected_value: Males, label: sex} + - {column: E, row: 3794, expected_value: Self-employed, label: employment type} + - {column: J, row: 3794, expected_value: Value, label: measure} + - {column: L, row: 3795, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3796 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3796, expected_value: E12000001, label: geography} + - {column: D, row: 3796, expected_value: Males, label: sex} + - {column: E, row: 3796, expected_value: Self-employed, label: employment type} + - {column: J, row: 3796, expected_value: Value, label: measure} + - {column: L, row: 3797, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3800 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3800, expected_value: E12000001, label: geography} + - {column: D, row: 3800, expected_value: Males, label: sex} + - {column: E, row: 3800, expected_value: Self-employed, label: employment type} + - {column: J, row: 3800, expected_value: Value, label: measure} + - {column: L, row: 3801, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3802 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3802, expected_value: E12000001, label: geography} + - {column: D, row: 3802, expected_value: Males, label: sex} + - {column: E, row: 3802, expected_value: Self-employed, label: employment type} + - {column: J, row: 3802, expected_value: Value, label: measure} + - {column: L, row: 3803, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3806 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3806, expected_value: E12000001, label: geography} + - {column: D, row: 3806, expected_value: Males, label: sex} + - {column: E, row: 3806, expected_value: Self-employed, label: employment type} + - {column: J, row: 3806, expected_value: Value, label: measure} + - {column: L, row: 3807, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3808 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3808, expected_value: E12000001, label: geography} + - {column: D, row: 3808, expected_value: Males, label: sex} + - {column: E, row: 3808, expected_value: Self-employed, label: employment type} + - {column: J, row: 3808, expected_value: Value, label: measure} + - {column: L, row: 3809, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3810 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3810, expected_value: E12000001, label: geography} + - {column: D, row: 3810, expected_value: Males, label: sex} + - {column: E, row: 3810, expected_value: Self-employed, label: employment type} + - {column: J, row: 3810, expected_value: Value, label: measure} + - {column: L, row: 3811, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3812 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3812, expected_value: E12000001, label: geography} + - {column: D, row: 3812, expected_value: Males, label: sex} + - {column: E, row: 3812, expected_value: Self-employed, label: employment type} + - {column: J, row: 3812, expected_value: Value, label: measure} + - {column: L, row: 3813, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3814 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3814, expected_value: E12000001, label: geography} + - {column: D, row: 3814, expected_value: Males, label: sex} + - {column: E, row: 3814, expected_value: Self-employed, label: employment type} + - {column: J, row: 3814, expected_value: Value, label: measure} + - {column: L, row: 3815, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3816 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3816, expected_value: E12000001, label: geography} + - {column: D, row: 3816, expected_value: Males, label: sex} + - {column: E, row: 3816, expected_value: Self-employed, label: employment type} + - {column: J, row: 3816, expected_value: Value, label: measure} + - {column: L, row: 3817, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3747 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3747, expected_value: E12000001, label: geography} + - {column: D, row: 3747, expected_value: Males, label: sex} + - {column: E, row: 3747, expected_value: Self-employed, label: employment type} + - {column: J, row: 3747, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3749 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3749, expected_value: E12000001, label: geography} + - {column: D, row: 3749, expected_value: Males, label: sex} + - {column: E, row: 3749, expected_value: Self-employed, label: employment type} + - {column: J, row: 3749, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3751 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3751, expected_value: E12000001, label: geography} + - {column: D, row: 3751, expected_value: Males, label: sex} + - {column: E, row: 3751, expected_value: Self-employed, label: employment type} + - {column: J, row: 3751, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3753 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3753, expected_value: E12000001, label: geography} + - {column: D, row: 3753, expected_value: Males, label: sex} + - {column: E, row: 3753, expected_value: Self-employed, label: employment type} + - {column: J, row: 3753, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3755 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3755, expected_value: E12000001, label: geography} + - {column: D, row: 3755, expected_value: Males, label: sex} + - {column: E, row: 3755, expected_value: Self-employed, label: employment type} + - {column: J, row: 3755, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3757 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3757, expected_value: E12000001, label: geography} + - {column: D, row: 3757, expected_value: Males, label: sex} + - {column: E, row: 3757, expected_value: Self-employed, label: employment type} + - {column: J, row: 3757, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3759 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3759, expected_value: E12000001, label: geography} + - {column: D, row: 3759, expected_value: Males, label: sex} + - {column: E, row: 3759, expected_value: Self-employed, label: employment type} + - {column: J, row: 3759, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3763 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3763, expected_value: E12000001, label: geography} + - {column: D, row: 3763, expected_value: Males, label: sex} + - {column: E, row: 3763, expected_value: Self-employed, label: employment type} + - {column: J, row: 3763, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3765 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3765, expected_value: E12000001, label: geography} + - {column: D, row: 3765, expected_value: Males, label: sex} + - {column: E, row: 3765, expected_value: Self-employed, label: employment type} + - {column: J, row: 3765, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3773 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3773, expected_value: E12000001, label: geography} + - {column: D, row: 3773, expected_value: Males, label: sex} + - {column: E, row: 3773, expected_value: Self-employed, label: employment type} + - {column: J, row: 3773, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3775 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3775, expected_value: E12000001, label: geography} + - {column: D, row: 3775, expected_value: Males, label: sex} + - {column: E, row: 3775, expected_value: Self-employed, label: employment type} + - {column: J, row: 3775, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3783 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3783, expected_value: E12000001, label: geography} + - {column: D, row: 3783, expected_value: Males, label: sex} + - {column: E, row: 3783, expected_value: Self-employed, label: employment type} + - {column: J, row: 3783, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3785 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3785, expected_value: E12000001, label: geography} + - {column: D, row: 3785, expected_value: Males, label: sex} + - {column: E, row: 3785, expected_value: Self-employed, label: employment type} + - {column: J, row: 3785, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3787 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3787, expected_value: E12000001, label: geography} + - {column: D, row: 3787, expected_value: Males, label: sex} + - {column: E, row: 3787, expected_value: Self-employed, label: employment type} + - {column: J, row: 3787, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3789 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3789, expected_value: E12000001, label: geography} + - {column: D, row: 3789, expected_value: Males, label: sex} + - {column: E, row: 3789, expected_value: Self-employed, label: employment type} + - {column: J, row: 3789, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3791 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3791, expected_value: E12000001, label: geography} + - {column: D, row: 3791, expected_value: Males, label: sex} + - {column: E, row: 3791, expected_value: Self-employed, label: employment type} + - {column: J, row: 3791, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3807 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3807, expected_value: E12000001, label: geography} + - {column: D, row: 3807, expected_value: Males, label: sex} + - {column: E, row: 3807, expected_value: Self-employed, label: employment type} + - {column: J, row: 3807, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3809 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3809, expected_value: E12000001, label: geography} + - {column: D, row: 3809, expected_value: Males, label: sex} + - {column: E, row: 3809, expected_value: Self-employed, label: employment type} + - {column: J, row: 3809, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3811 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3811, expected_value: E12000001, label: geography} + - {column: D, row: 3811, expected_value: Males, label: sex} + - {column: E, row: 3811, expected_value: Self-employed, label: employment type} + - {column: J, row: 3811, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3813 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3813, expected_value: E12000001, label: geography} + - {column: D, row: 3813, expected_value: Males, label: sex} + - {column: E, row: 3813, expected_value: Self-employed, label: employment type} + - {column: J, row: 3813, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3386 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3386, expected_value: E12000001, label: geography} + - {column: D, row: 3386, expected_value: Females, label: sex} + - {column: E, row: 3386, expected_value: Total, label: employment type} + - {column: J, row: 3386, expected_value: Value, label: measure} + - {column: L, row: 3387, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3388 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3388, expected_value: E12000001, label: geography} + - {column: D, row: 3388, expected_value: Females, label: sex} + - {column: E, row: 3388, expected_value: Total, label: employment type} + - {column: J, row: 3388, expected_value: Value, label: measure} + - {column: L, row: 3389, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3390 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3390, expected_value: E12000001, label: geography} + - {column: D, row: 3390, expected_value: Females, label: sex} + - {column: E, row: 3390, expected_value: Total, label: employment type} + - {column: J, row: 3390, expected_value: Value, label: measure} + - {column: L, row: 3391, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3392 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3392, expected_value: E12000001, label: geography} + - {column: D, row: 3392, expected_value: Females, label: sex} + - {column: E, row: 3392, expected_value: Total, label: employment type} + - {column: J, row: 3392, expected_value: Value, label: measure} + - {column: L, row: 3393, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3394 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3394, expected_value: E12000001, label: geography} + - {column: D, row: 3394, expected_value: Females, label: sex} + - {column: E, row: 3394, expected_value: Total, label: employment type} + - {column: J, row: 3394, expected_value: Value, label: measure} + - {column: L, row: 3395, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3396 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3396, expected_value: E12000001, label: geography} + - {column: D, row: 3396, expected_value: Females, label: sex} + - {column: E, row: 3396, expected_value: Total, label: employment type} + - {column: J, row: 3396, expected_value: Value, label: measure} + - {column: L, row: 3397, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3398 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3398, expected_value: E12000001, label: geography} + - {column: D, row: 3398, expected_value: Females, label: sex} + - {column: E, row: 3398, expected_value: Total, label: employment type} + - {column: J, row: 3398, expected_value: Value, label: measure} + - {column: L, row: 3399, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3400 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3400, expected_value: E12000001, label: geography} + - {column: D, row: 3400, expected_value: Females, label: sex} + - {column: E, row: 3400, expected_value: Total, label: employment type} + - {column: J, row: 3400, expected_value: Value, label: measure} + - {column: L, row: 3401, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3402 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3402, expected_value: E12000001, label: geography} + - {column: D, row: 3402, expected_value: Females, label: sex} + - {column: E, row: 3402, expected_value: Total, label: employment type} + - {column: J, row: 3402, expected_value: Value, label: measure} + - {column: L, row: 3403, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3404 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3404, expected_value: E12000001, label: geography} + - {column: D, row: 3404, expected_value: Females, label: sex} + - {column: E, row: 3404, expected_value: Total, label: employment type} + - {column: J, row: 3404, expected_value: Value, label: measure} + - {column: L, row: 3405, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3406 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3406, expected_value: E12000001, label: geography} + - {column: D, row: 3406, expected_value: Females, label: sex} + - {column: E, row: 3406, expected_value: Total, label: employment type} + - {column: J, row: 3406, expected_value: Value, label: measure} + - {column: L, row: 3407, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3408 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3408, expected_value: E12000001, label: geography} + - {column: D, row: 3408, expected_value: Females, label: sex} + - {column: E, row: 3408, expected_value: Total, label: employment type} + - {column: J, row: 3408, expected_value: Value, label: measure} + - {column: L, row: 3409, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3410 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3410, expected_value: E12000001, label: geography} + - {column: D, row: 3410, expected_value: Females, label: sex} + - {column: E, row: 3410, expected_value: Total, label: employment type} + - {column: J, row: 3410, expected_value: Value, label: measure} + - {column: L, row: 3411, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3412 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3412, expected_value: E12000001, label: geography} + - {column: D, row: 3412, expected_value: Females, label: sex} + - {column: E, row: 3412, expected_value: Total, label: employment type} + - {column: J, row: 3412, expected_value: Value, label: measure} + - {column: L, row: 3413, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3414 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3414, expected_value: E12000001, label: geography} + - {column: D, row: 3414, expected_value: Females, label: sex} + - {column: E, row: 3414, expected_value: Total, label: employment type} + - {column: J, row: 3414, expected_value: Value, label: measure} + - {column: L, row: 3415, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3416 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3416, expected_value: E12000001, label: geography} + - {column: D, row: 3416, expected_value: Females, label: sex} + - {column: E, row: 3416, expected_value: Total, label: employment type} + - {column: J, row: 3416, expected_value: Value, label: measure} + - {column: L, row: 3417, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3418 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3418, expected_value: E12000001, label: geography} + - {column: D, row: 3418, expected_value: Females, label: sex} + - {column: E, row: 3418, expected_value: Total, label: employment type} + - {column: J, row: 3418, expected_value: Value, label: measure} + - {column: L, row: 3419, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3420 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3420, expected_value: E12000001, label: geography} + - {column: D, row: 3420, expected_value: Females, label: sex} + - {column: E, row: 3420, expected_value: Total, label: employment type} + - {column: J, row: 3420, expected_value: Value, label: measure} + - {column: L, row: 3421, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3422 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3422, expected_value: E12000001, label: geography} + - {column: D, row: 3422, expected_value: Females, label: sex} + - {column: E, row: 3422, expected_value: Total, label: employment type} + - {column: J, row: 3422, expected_value: Value, label: measure} + - {column: L, row: 3423, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3424 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3424, expected_value: E12000001, label: geography} + - {column: D, row: 3424, expected_value: Females, label: sex} + - {column: E, row: 3424, expected_value: Total, label: employment type} + - {column: J, row: 3424, expected_value: Value, label: measure} + - {column: L, row: 3425, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3426 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3426, expected_value: E12000001, label: geography} + - {column: D, row: 3426, expected_value: Females, label: sex} + - {column: E, row: 3426, expected_value: Total, label: employment type} + - {column: J, row: 3426, expected_value: Value, label: measure} + - {column: L, row: 3427, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3428 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3428, expected_value: E12000001, label: geography} + - {column: D, row: 3428, expected_value: Females, label: sex} + - {column: E, row: 3428, expected_value: Total, label: employment type} + - {column: J, row: 3428, expected_value: Value, label: measure} + - {column: L, row: 3429, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3430 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3430, expected_value: E12000001, label: geography} + - {column: D, row: 3430, expected_value: Females, label: sex} + - {column: E, row: 3430, expected_value: Total, label: employment type} + - {column: J, row: 3430, expected_value: Value, label: measure} + - {column: L, row: 3431, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3432 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3432, expected_value: E12000001, label: geography} + - {column: D, row: 3432, expected_value: Females, label: sex} + - {column: E, row: 3432, expected_value: Total, label: employment type} + - {column: J, row: 3432, expected_value: Value, label: measure} + - {column: L, row: 3433, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3434 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3434, expected_value: E12000001, label: geography} + - {column: D, row: 3434, expected_value: Females, label: sex} + - {column: E, row: 3434, expected_value: Total, label: employment type} + - {column: J, row: 3434, expected_value: Value, label: measure} + - {column: L, row: 3435, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3436 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3436, expected_value: E12000001, label: geography} + - {column: D, row: 3436, expected_value: Females, label: sex} + - {column: E, row: 3436, expected_value: Total, label: employment type} + - {column: J, row: 3436, expected_value: Value, label: measure} + - {column: L, row: 3437, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3440 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3440, expected_value: E12000001, label: geography} + - {column: D, row: 3440, expected_value: Females, label: sex} + - {column: E, row: 3440, expected_value: Total, label: employment type} + - {column: J, row: 3440, expected_value: Value, label: measure} + - {column: L, row: 3441, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3442 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3442, expected_value: E12000001, label: geography} + - {column: D, row: 3442, expected_value: Females, label: sex} + - {column: E, row: 3442, expected_value: Total, label: employment type} + - {column: J, row: 3442, expected_value: Value, label: measure} + - {column: L, row: 3443, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3444 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3444, expected_value: E12000001, label: geography} + - {column: D, row: 3444, expected_value: Females, label: sex} + - {column: E, row: 3444, expected_value: Total, label: employment type} + - {column: J, row: 3444, expected_value: Value, label: measure} + - {column: L, row: 3445, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3446 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3446, expected_value: E12000001, label: geography} + - {column: D, row: 3446, expected_value: Females, label: sex} + - {column: E, row: 3446, expected_value: Total, label: employment type} + - {column: J, row: 3446, expected_value: Value, label: measure} + - {column: L, row: 3447, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3448 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3448, expected_value: E12000001, label: geography} + - {column: D, row: 3448, expected_value: Females, label: sex} + - {column: E, row: 3448, expected_value: Total, label: employment type} + - {column: J, row: 3448, expected_value: Value, label: measure} + - {column: L, row: 3449, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3450 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3450, expected_value: E12000001, label: geography} + - {column: D, row: 3450, expected_value: Females, label: sex} + - {column: E, row: 3450, expected_value: Total, label: employment type} + - {column: J, row: 3450, expected_value: Value, label: measure} + - {column: L, row: 3451, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3452 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3452, expected_value: E12000001, label: geography} + - {column: D, row: 3452, expected_value: Females, label: sex} + - {column: E, row: 3452, expected_value: Total, label: employment type} + - {column: J, row: 3452, expected_value: Value, label: measure} + - {column: L, row: 3453, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3454 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3454, expected_value: E12000001, label: geography} + - {column: D, row: 3454, expected_value: Females, label: sex} + - {column: E, row: 3454, expected_value: Total, label: employment type} + - {column: J, row: 3454, expected_value: Value, label: measure} + - {column: L, row: 3455, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3456 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3456, expected_value: E12000001, label: geography} + - {column: D, row: 3456, expected_value: Females, label: sex} + - {column: E, row: 3456, expected_value: Total, label: employment type} + - {column: J, row: 3456, expected_value: Value, label: measure} + - {column: L, row: 3457, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3387 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3387, expected_value: E12000001, label: geography} + - {column: D, row: 3387, expected_value: Females, label: sex} + - {column: E, row: 3387, expected_value: Total, label: employment type} + - {column: J, row: 3387, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3389 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3389, expected_value: E12000001, label: geography} + - {column: D, row: 3389, expected_value: Females, label: sex} + - {column: E, row: 3389, expected_value: Total, label: employment type} + - {column: J, row: 3389, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3391 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3391, expected_value: E12000001, label: geography} + - {column: D, row: 3391, expected_value: Females, label: sex} + - {column: E, row: 3391, expected_value: Total, label: employment type} + - {column: J, row: 3391, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3393 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3393, expected_value: E12000001, label: geography} + - {column: D, row: 3393, expected_value: Females, label: sex} + - {column: E, row: 3393, expected_value: Total, label: employment type} + - {column: J, row: 3393, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3395 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3395, expected_value: E12000001, label: geography} + - {column: D, row: 3395, expected_value: Females, label: sex} + - {column: E, row: 3395, expected_value: Total, label: employment type} + - {column: J, row: 3395, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3397 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3397, expected_value: E12000001, label: geography} + - {column: D, row: 3397, expected_value: Females, label: sex} + - {column: E, row: 3397, expected_value: Total, label: employment type} + - {column: J, row: 3397, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3399 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3399, expected_value: E12000001, label: geography} + - {column: D, row: 3399, expected_value: Females, label: sex} + - {column: E, row: 3399, expected_value: Total, label: employment type} + - {column: J, row: 3399, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3401 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3401, expected_value: E12000001, label: geography} + - {column: D, row: 3401, expected_value: Females, label: sex} + - {column: E, row: 3401, expected_value: Total, label: employment type} + - {column: J, row: 3401, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3403 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3403, expected_value: E12000001, label: geography} + - {column: D, row: 3403, expected_value: Females, label: sex} + - {column: E, row: 3403, expected_value: Total, label: employment type} + - {column: J, row: 3403, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3405 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3405, expected_value: E12000001, label: geography} + - {column: D, row: 3405, expected_value: Females, label: sex} + - {column: E, row: 3405, expected_value: Total, label: employment type} + - {column: J, row: 3405, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3407 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3407, expected_value: E12000001, label: geography} + - {column: D, row: 3407, expected_value: Females, label: sex} + - {column: E, row: 3407, expected_value: Total, label: employment type} + - {column: J, row: 3407, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3409 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3409, expected_value: E12000001, label: geography} + - {column: D, row: 3409, expected_value: Females, label: sex} + - {column: E, row: 3409, expected_value: Total, label: employment type} + - {column: J, row: 3409, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3411 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3411, expected_value: E12000001, label: geography} + - {column: D, row: 3411, expected_value: Females, label: sex} + - {column: E, row: 3411, expected_value: Total, label: employment type} + - {column: J, row: 3411, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3413 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3413, expected_value: E12000001, label: geography} + - {column: D, row: 3413, expected_value: Females, label: sex} + - {column: E, row: 3413, expected_value: Total, label: employment type} + - {column: J, row: 3413, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3415 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3415, expected_value: E12000001, label: geography} + - {column: D, row: 3415, expected_value: Females, label: sex} + - {column: E, row: 3415, expected_value: Total, label: employment type} + - {column: J, row: 3415, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3417 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3417, expected_value: E12000001, label: geography} + - {column: D, row: 3417, expected_value: Females, label: sex} + - {column: E, row: 3417, expected_value: Total, label: employment type} + - {column: J, row: 3417, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3419 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3419, expected_value: E12000001, label: geography} + - {column: D, row: 3419, expected_value: Females, label: sex} + - {column: E, row: 3419, expected_value: Total, label: employment type} + - {column: J, row: 3419, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3421 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3421, expected_value: E12000001, label: geography} + - {column: D, row: 3421, expected_value: Females, label: sex} + - {column: E, row: 3421, expected_value: Total, label: employment type} + - {column: J, row: 3421, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3423 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3423, expected_value: E12000001, label: geography} + - {column: D, row: 3423, expected_value: Females, label: sex} + - {column: E, row: 3423, expected_value: Total, label: employment type} + - {column: J, row: 3423, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3425 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3425, expected_value: E12000001, label: geography} + - {column: D, row: 3425, expected_value: Females, label: sex} + - {column: E, row: 3425, expected_value: Total, label: employment type} + - {column: J, row: 3425, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3431 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3431, expected_value: E12000001, label: geography} + - {column: D, row: 3431, expected_value: Females, label: sex} + - {column: E, row: 3431, expected_value: Total, label: employment type} + - {column: J, row: 3431, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3433 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3433, expected_value: E12000001, label: geography} + - {column: D, row: 3433, expected_value: Females, label: sex} + - {column: E, row: 3433, expected_value: Total, label: employment type} + - {column: J, row: 3433, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3435 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3435, expected_value: E12000001, label: geography} + - {column: D, row: 3435, expected_value: Females, label: sex} + - {column: E, row: 3435, expected_value: Total, label: employment type} + - {column: J, row: 3435, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3437 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3437, expected_value: E12000001, label: geography} + - {column: D, row: 3437, expected_value: Females, label: sex} + - {column: E, row: 3437, expected_value: Total, label: employment type} + - {column: J, row: 3437, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3441 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3441, expected_value: E12000001, label: geography} + - {column: D, row: 3441, expected_value: Females, label: sex} + - {column: E, row: 3441, expected_value: Total, label: employment type} + - {column: J, row: 3441, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3443 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3443, expected_value: E12000001, label: geography} + - {column: D, row: 3443, expected_value: Females, label: sex} + - {column: E, row: 3443, expected_value: Total, label: employment type} + - {column: J, row: 3443, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3445 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3445, expected_value: E12000001, label: geography} + - {column: D, row: 3445, expected_value: Females, label: sex} + - {column: E, row: 3445, expected_value: Total, label: employment type} + - {column: J, row: 3445, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3447 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3447, expected_value: E12000001, label: geography} + - {column: D, row: 3447, expected_value: Females, label: sex} + - {column: E, row: 3447, expected_value: Total, label: employment type} + - {column: J, row: 3447, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3449 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3449, expected_value: E12000001, label: geography} + - {column: D, row: 3449, expected_value: Females, label: sex} + - {column: E, row: 3449, expected_value: Total, label: employment type} + - {column: J, row: 3449, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3453 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3453, expected_value: E12000001, label: geography} + - {column: D, row: 3453, expected_value: Females, label: sex} + - {column: E, row: 3453, expected_value: Total, label: employment type} + - {column: J, row: 3453, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3455 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3455, expected_value: E12000001, label: geography} + - {column: D, row: 3455, expected_value: Females, label: sex} + - {column: E, row: 3455, expected_value: Total, label: employment type} + - {column: J, row: 3455, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3457 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3457, expected_value: E12000001, label: geography} + - {column: D, row: 3457, expected_value: Females, label: sex} + - {column: E, row: 3457, expected_value: Total, label: employment type} + - {column: J, row: 3457, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3602 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3602, expected_value: E12000001, label: geography} + - {column: D, row: 3602, expected_value: Females, label: sex} + - {column: E, row: 3602, expected_value: Employee, label: employment type} + - {column: J, row: 3602, expected_value: Value, label: measure} + - {column: L, row: 3603, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3604 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3604, expected_value: E12000001, label: geography} + - {column: D, row: 3604, expected_value: Females, label: sex} + - {column: E, row: 3604, expected_value: Employee, label: employment type} + - {column: J, row: 3604, expected_value: Value, label: measure} + - {column: L, row: 3605, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3606 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3606, expected_value: E12000001, label: geography} + - {column: D, row: 3606, expected_value: Females, label: sex} + - {column: E, row: 3606, expected_value: Employee, label: employment type} + - {column: J, row: 3606, expected_value: Value, label: measure} + - {column: L, row: 3607, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3608 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3608, expected_value: E12000001, label: geography} + - {column: D, row: 3608, expected_value: Females, label: sex} + - {column: E, row: 3608, expected_value: Employee, label: employment type} + - {column: J, row: 3608, expected_value: Value, label: measure} + - {column: L, row: 3609, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3610 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3610, expected_value: E12000001, label: geography} + - {column: D, row: 3610, expected_value: Females, label: sex} + - {column: E, row: 3610, expected_value: Employee, label: employment type} + - {column: J, row: 3610, expected_value: Value, label: measure} + - {column: L, row: 3611, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3612 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3612, expected_value: E12000001, label: geography} + - {column: D, row: 3612, expected_value: Females, label: sex} + - {column: E, row: 3612, expected_value: Employee, label: employment type} + - {column: J, row: 3612, expected_value: Value, label: measure} + - {column: L, row: 3613, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3614 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3614, expected_value: E12000001, label: geography} + - {column: D, row: 3614, expected_value: Females, label: sex} + - {column: E, row: 3614, expected_value: Employee, label: employment type} + - {column: J, row: 3614, expected_value: Value, label: measure} + - {column: L, row: 3615, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3616 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3616, expected_value: E12000001, label: geography} + - {column: D, row: 3616, expected_value: Females, label: sex} + - {column: E, row: 3616, expected_value: Employee, label: employment type} + - {column: J, row: 3616, expected_value: Value, label: measure} + - {column: L, row: 3617, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3618 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3618, expected_value: E12000001, label: geography} + - {column: D, row: 3618, expected_value: Females, label: sex} + - {column: E, row: 3618, expected_value: Employee, label: employment type} + - {column: J, row: 3618, expected_value: Value, label: measure} + - {column: L, row: 3619, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3620 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3620, expected_value: E12000001, label: geography} + - {column: D, row: 3620, expected_value: Females, label: sex} + - {column: E, row: 3620, expected_value: Employee, label: employment type} + - {column: J, row: 3620, expected_value: Value, label: measure} + - {column: L, row: 3621, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3622 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3622, expected_value: E12000001, label: geography} + - {column: D, row: 3622, expected_value: Females, label: sex} + - {column: E, row: 3622, expected_value: Employee, label: employment type} + - {column: J, row: 3622, expected_value: Value, label: measure} + - {column: L, row: 3623, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3624 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3624, expected_value: E12000001, label: geography} + - {column: D, row: 3624, expected_value: Females, label: sex} + - {column: E, row: 3624, expected_value: Employee, label: employment type} + - {column: J, row: 3624, expected_value: Value, label: measure} + - {column: L, row: 3625, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3626 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3626, expected_value: E12000001, label: geography} + - {column: D, row: 3626, expected_value: Females, label: sex} + - {column: E, row: 3626, expected_value: Employee, label: employment type} + - {column: J, row: 3626, expected_value: Value, label: measure} + - {column: L, row: 3627, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3628 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3628, expected_value: E12000001, label: geography} + - {column: D, row: 3628, expected_value: Females, label: sex} + - {column: E, row: 3628, expected_value: Employee, label: employment type} + - {column: J, row: 3628, expected_value: Value, label: measure} + - {column: L, row: 3629, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3630 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3630, expected_value: E12000001, label: geography} + - {column: D, row: 3630, expected_value: Females, label: sex} + - {column: E, row: 3630, expected_value: Employee, label: employment type} + - {column: J, row: 3630, expected_value: Value, label: measure} + - {column: L, row: 3631, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3632 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3632, expected_value: E12000001, label: geography} + - {column: D, row: 3632, expected_value: Females, label: sex} + - {column: E, row: 3632, expected_value: Employee, label: employment type} + - {column: J, row: 3632, expected_value: Value, label: measure} + - {column: L, row: 3633, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3634 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3634, expected_value: E12000001, label: geography} + - {column: D, row: 3634, expected_value: Females, label: sex} + - {column: E, row: 3634, expected_value: Employee, label: employment type} + - {column: J, row: 3634, expected_value: Value, label: measure} + - {column: L, row: 3635, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3636 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3636, expected_value: E12000001, label: geography} + - {column: D, row: 3636, expected_value: Females, label: sex} + - {column: E, row: 3636, expected_value: Employee, label: employment type} + - {column: J, row: 3636, expected_value: Value, label: measure} + - {column: L, row: 3637, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3638 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3638, expected_value: E12000001, label: geography} + - {column: D, row: 3638, expected_value: Females, label: sex} + - {column: E, row: 3638, expected_value: Employee, label: employment type} + - {column: J, row: 3638, expected_value: Value, label: measure} + - {column: L, row: 3639, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3640 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3640, expected_value: E12000001, label: geography} + - {column: D, row: 3640, expected_value: Females, label: sex} + - {column: E, row: 3640, expected_value: Employee, label: employment type} + - {column: J, row: 3640, expected_value: Value, label: measure} + - {column: L, row: 3641, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3642 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3642, expected_value: E12000001, label: geography} + - {column: D, row: 3642, expected_value: Females, label: sex} + - {column: E, row: 3642, expected_value: Employee, label: employment type} + - {column: J, row: 3642, expected_value: Value, label: measure} + - {column: L, row: 3643, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3644 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3644, expected_value: E12000001, label: geography} + - {column: D, row: 3644, expected_value: Females, label: sex} + - {column: E, row: 3644, expected_value: Employee, label: employment type} + - {column: J, row: 3644, expected_value: Value, label: measure} + - {column: L, row: 3645, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3646 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3646, expected_value: E12000001, label: geography} + - {column: D, row: 3646, expected_value: Females, label: sex} + - {column: E, row: 3646, expected_value: Employee, label: employment type} + - {column: J, row: 3646, expected_value: Value, label: measure} + - {column: L, row: 3647, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3648 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3648, expected_value: E12000001, label: geography} + - {column: D, row: 3648, expected_value: Females, label: sex} + - {column: E, row: 3648, expected_value: Employee, label: employment type} + - {column: J, row: 3648, expected_value: Value, label: measure} + - {column: L, row: 3649, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3650 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3650, expected_value: E12000001, label: geography} + - {column: D, row: 3650, expected_value: Females, label: sex} + - {column: E, row: 3650, expected_value: Employee, label: employment type} + - {column: J, row: 3650, expected_value: Value, label: measure} + - {column: L, row: 3651, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3652 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3652, expected_value: E12000001, label: geography} + - {column: D, row: 3652, expected_value: Females, label: sex} + - {column: E, row: 3652, expected_value: Employee, label: employment type} + - {column: J, row: 3652, expected_value: Value, label: measure} + - {column: L, row: 3653, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3656 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3656, expected_value: E12000001, label: geography} + - {column: D, row: 3656, expected_value: Females, label: sex} + - {column: E, row: 3656, expected_value: Employee, label: employment type} + - {column: J, row: 3656, expected_value: Value, label: measure} + - {column: L, row: 3657, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3658 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3658, expected_value: E12000001, label: geography} + - {column: D, row: 3658, expected_value: Females, label: sex} + - {column: E, row: 3658, expected_value: Employee, label: employment type} + - {column: J, row: 3658, expected_value: Value, label: measure} + - {column: L, row: 3659, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3660 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3660, expected_value: E12000001, label: geography} + - {column: D, row: 3660, expected_value: Females, label: sex} + - {column: E, row: 3660, expected_value: Employee, label: employment type} + - {column: J, row: 3660, expected_value: Value, label: measure} + - {column: L, row: 3661, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3662 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3662, expected_value: E12000001, label: geography} + - {column: D, row: 3662, expected_value: Females, label: sex} + - {column: E, row: 3662, expected_value: Employee, label: employment type} + - {column: J, row: 3662, expected_value: Value, label: measure} + - {column: L, row: 3663, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3664 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3664, expected_value: E12000001, label: geography} + - {column: D, row: 3664, expected_value: Females, label: sex} + - {column: E, row: 3664, expected_value: Employee, label: employment type} + - {column: J, row: 3664, expected_value: Value, label: measure} + - {column: L, row: 3665, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3666 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3666, expected_value: E12000001, label: geography} + - {column: D, row: 3666, expected_value: Females, label: sex} + - {column: E, row: 3666, expected_value: Employee, label: employment type} + - {column: J, row: 3666, expected_value: Value, label: measure} + - {column: L, row: 3667, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3668 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3668, expected_value: E12000001, label: geography} + - {column: D, row: 3668, expected_value: Females, label: sex} + - {column: E, row: 3668, expected_value: Employee, label: employment type} + - {column: J, row: 3668, expected_value: Value, label: measure} + - {column: L, row: 3669, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3670 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3670, expected_value: E12000001, label: geography} + - {column: D, row: 3670, expected_value: Females, label: sex} + - {column: E, row: 3670, expected_value: Employee, label: employment type} + - {column: J, row: 3670, expected_value: Value, label: measure} + - {column: L, row: 3671, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3672 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3672, expected_value: E12000001, label: geography} + - {column: D, row: 3672, expected_value: Females, label: sex} + - {column: E, row: 3672, expected_value: Employee, label: employment type} + - {column: J, row: 3672, expected_value: Value, label: measure} + - {column: L, row: 3673, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3603 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3603, expected_value: E12000001, label: geography} + - {column: D, row: 3603, expected_value: Females, label: sex} + - {column: E, row: 3603, expected_value: Employee, label: employment type} + - {column: J, row: 3603, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3605 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3605, expected_value: E12000001, label: geography} + - {column: D, row: 3605, expected_value: Females, label: sex} + - {column: E, row: 3605, expected_value: Employee, label: employment type} + - {column: J, row: 3605, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3607 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3607, expected_value: E12000001, label: geography} + - {column: D, row: 3607, expected_value: Females, label: sex} + - {column: E, row: 3607, expected_value: Employee, label: employment type} + - {column: J, row: 3607, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3609 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3609, expected_value: E12000001, label: geography} + - {column: D, row: 3609, expected_value: Females, label: sex} + - {column: E, row: 3609, expected_value: Employee, label: employment type} + - {column: J, row: 3609, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3611 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3611, expected_value: E12000001, label: geography} + - {column: D, row: 3611, expected_value: Females, label: sex} + - {column: E, row: 3611, expected_value: Employee, label: employment type} + - {column: J, row: 3611, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3613 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3613, expected_value: E12000001, label: geography} + - {column: D, row: 3613, expected_value: Females, label: sex} + - {column: E, row: 3613, expected_value: Employee, label: employment type} + - {column: J, row: 3613, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3615 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3615, expected_value: E12000001, label: geography} + - {column: D, row: 3615, expected_value: Females, label: sex} + - {column: E, row: 3615, expected_value: Employee, label: employment type} + - {column: J, row: 3615, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3617 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3617, expected_value: E12000001, label: geography} + - {column: D, row: 3617, expected_value: Females, label: sex} + - {column: E, row: 3617, expected_value: Employee, label: employment type} + - {column: J, row: 3617, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3619 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3619, expected_value: E12000001, label: geography} + - {column: D, row: 3619, expected_value: Females, label: sex} + - {column: E, row: 3619, expected_value: Employee, label: employment type} + - {column: J, row: 3619, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3621 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3621, expected_value: E12000001, label: geography} + - {column: D, row: 3621, expected_value: Females, label: sex} + - {column: E, row: 3621, expected_value: Employee, label: employment type} + - {column: J, row: 3621, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3623 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3623, expected_value: E12000001, label: geography} + - {column: D, row: 3623, expected_value: Females, label: sex} + - {column: E, row: 3623, expected_value: Employee, label: employment type} + - {column: J, row: 3623, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3625 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3625, expected_value: E12000001, label: geography} + - {column: D, row: 3625, expected_value: Females, label: sex} + - {column: E, row: 3625, expected_value: Employee, label: employment type} + - {column: J, row: 3625, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3627 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3627, expected_value: E12000001, label: geography} + - {column: D, row: 3627, expected_value: Females, label: sex} + - {column: E, row: 3627, expected_value: Employee, label: employment type} + - {column: J, row: 3627, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3629 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3629, expected_value: E12000001, label: geography} + - {column: D, row: 3629, expected_value: Females, label: sex} + - {column: E, row: 3629, expected_value: Employee, label: employment type} + - {column: J, row: 3629, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3631 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3631, expected_value: E12000001, label: geography} + - {column: D, row: 3631, expected_value: Females, label: sex} + - {column: E, row: 3631, expected_value: Employee, label: employment type} + - {column: J, row: 3631, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3633 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3633, expected_value: E12000001, label: geography} + - {column: D, row: 3633, expected_value: Females, label: sex} + - {column: E, row: 3633, expected_value: Employee, label: employment type} + - {column: J, row: 3633, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3635 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3635, expected_value: E12000001, label: geography} + - {column: D, row: 3635, expected_value: Females, label: sex} + - {column: E, row: 3635, expected_value: Employee, label: employment type} + - {column: J, row: 3635, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3637 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3637, expected_value: E12000001, label: geography} + - {column: D, row: 3637, expected_value: Females, label: sex} + - {column: E, row: 3637, expected_value: Employee, label: employment type} + - {column: J, row: 3637, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3639 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3639, expected_value: E12000001, label: geography} + - {column: D, row: 3639, expected_value: Females, label: sex} + - {column: E, row: 3639, expected_value: Employee, label: employment type} + - {column: J, row: 3639, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3647 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3647, expected_value: E12000001, label: geography} + - {column: D, row: 3647, expected_value: Females, label: sex} + - {column: E, row: 3647, expected_value: Employee, label: employment type} + - {column: J, row: 3647, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3649 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3649, expected_value: E12000001, label: geography} + - {column: D, row: 3649, expected_value: Females, label: sex} + - {column: E, row: 3649, expected_value: Employee, label: employment type} + - {column: J, row: 3649, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3651 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3651, expected_value: E12000001, label: geography} + - {column: D, row: 3651, expected_value: Females, label: sex} + - {column: E, row: 3651, expected_value: Employee, label: employment type} + - {column: J, row: 3651, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3653 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3653, expected_value: E12000001, label: geography} + - {column: D, row: 3653, expected_value: Females, label: sex} + - {column: E, row: 3653, expected_value: Employee, label: employment type} + - {column: J, row: 3653, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3657 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3657, expected_value: E12000001, label: geography} + - {column: D, row: 3657, expected_value: Females, label: sex} + - {column: E, row: 3657, expected_value: Employee, label: employment type} + - {column: J, row: 3657, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3659 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3659, expected_value: E12000001, label: geography} + - {column: D, row: 3659, expected_value: Females, label: sex} + - {column: E, row: 3659, expected_value: Employee, label: employment type} + - {column: J, row: 3659, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3661 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3661, expected_value: E12000001, label: geography} + - {column: D, row: 3661, expected_value: Females, label: sex} + - {column: E, row: 3661, expected_value: Employee, label: employment type} + - {column: J, row: 3661, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3663 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3663, expected_value: E12000001, label: geography} + - {column: D, row: 3663, expected_value: Females, label: sex} + - {column: E, row: 3663, expected_value: Employee, label: employment type} + - {column: J, row: 3663, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3665 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3665, expected_value: E12000001, label: geography} + - {column: D, row: 3665, expected_value: Females, label: sex} + - {column: E, row: 3665, expected_value: Employee, label: employment type} + - {column: J, row: 3665, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3669 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3669, expected_value: E12000001, label: geography} + - {column: D, row: 3669, expected_value: Females, label: sex} + - {column: E, row: 3669, expected_value: Employee, label: employment type} + - {column: J, row: 3669, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3673 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3673, expected_value: E12000001, label: geography} + - {column: D, row: 3673, expected_value: Females, label: sex} + - {column: E, row: 3673, expected_value: Employee, label: employment type} + - {column: J, row: 3673, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3818 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3818, expected_value: E12000001, label: geography} + - {column: D, row: 3818, expected_value: Females, label: sex} + - {column: E, row: 3818, expected_value: Self-employed, label: employment type} + - {column: J, row: 3818, expected_value: Value, label: measure} + - {column: L, row: 3819, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3820 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3820, expected_value: E12000001, label: geography} + - {column: D, row: 3820, expected_value: Females, label: sex} + - {column: E, row: 3820, expected_value: Self-employed, label: employment type} + - {column: J, row: 3820, expected_value: Value, label: measure} + - {column: L, row: 3821, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3822 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3822, expected_value: E12000001, label: geography} + - {column: D, row: 3822, expected_value: Females, label: sex} + - {column: E, row: 3822, expected_value: Self-employed, label: employment type} + - {column: J, row: 3822, expected_value: Value, label: measure} + - {column: L, row: 3823, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3824 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3824, expected_value: E12000001, label: geography} + - {column: D, row: 3824, expected_value: Females, label: sex} + - {column: E, row: 3824, expected_value: Self-employed, label: employment type} + - {column: J, row: 3824, expected_value: Value, label: measure} + - {column: L, row: 3825, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3826 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3826, expected_value: E12000001, label: geography} + - {column: D, row: 3826, expected_value: Females, label: sex} + - {column: E, row: 3826, expected_value: Self-employed, label: employment type} + - {column: J, row: 3826, expected_value: Value, label: measure} + - {column: L, row: 3827, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3830 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3830, expected_value: E12000001, label: geography} + - {column: D, row: 3830, expected_value: Females, label: sex} + - {column: E, row: 3830, expected_value: Self-employed, label: employment type} + - {column: J, row: 3830, expected_value: Value, label: measure} + - {column: L, row: 3831, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3832 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3832, expected_value: E12000001, label: geography} + - {column: D, row: 3832, expected_value: Females, label: sex} + - {column: E, row: 3832, expected_value: Self-employed, label: employment type} + - {column: J, row: 3832, expected_value: Value, label: measure} + - {column: L, row: 3833, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3834 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3834, expected_value: E12000001, label: geography} + - {column: D, row: 3834, expected_value: Females, label: sex} + - {column: E, row: 3834, expected_value: Self-employed, label: employment type} + - {column: J, row: 3834, expected_value: Value, label: measure} + - {column: L, row: 3835, expected_value: G, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3836 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3836, expected_value: E12000001, label: geography} + - {column: D, row: 3836, expected_value: Females, label: sex} + - {column: E, row: 3836, expected_value: Self-employed, label: employment type} + - {column: J, row: 3836, expected_value: Value, label: measure} + - {column: L, row: 3837, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3840 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3840, expected_value: E12000001, label: geography} + - {column: D, row: 3840, expected_value: Females, label: sex} + - {column: E, row: 3840, expected_value: Self-employed, label: employment type} + - {column: J, row: 3840, expected_value: Value, label: measure} + - {column: L, row: 3841, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3844 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3844, expected_value: E12000001, label: geography} + - {column: D, row: 3844, expected_value: Females, label: sex} + - {column: E, row: 3844, expected_value: Self-employed, label: employment type} + - {column: J, row: 3844, expected_value: Value, label: measure} + - {column: L, row: 3845, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3846 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3846, expected_value: E12000001, label: geography} + - {column: D, row: 3846, expected_value: Females, label: sex} + - {column: E, row: 3846, expected_value: Self-employed, label: employment type} + - {column: J, row: 3846, expected_value: Value, label: measure} + - {column: L, row: 3847, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3848 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3848, expected_value: E12000001, label: geography} + - {column: D, row: 3848, expected_value: Females, label: sex} + - {column: E, row: 3848, expected_value: Self-employed, label: employment type} + - {column: J, row: 3848, expected_value: Value, label: measure} + - {column: L, row: 3849, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3850 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3850, expected_value: E12000001, label: geography} + - {column: D, row: 3850, expected_value: Females, label: sex} + - {column: E, row: 3850, expected_value: Self-employed, label: employment type} + - {column: J, row: 3850, expected_value: Value, label: measure} + - {column: L, row: 3851, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3854 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3854, expected_value: E12000001, label: geography} + - {column: D, row: 3854, expected_value: Females, label: sex} + - {column: E, row: 3854, expected_value: Self-employed, label: employment type} + - {column: J, row: 3854, expected_value: Value, label: measure} + - {column: L, row: 3855, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3856 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3856, expected_value: E12000001, label: geography} + - {column: D, row: 3856, expected_value: Females, label: sex} + - {column: E, row: 3856, expected_value: Self-employed, label: employment type} + - {column: J, row: 3856, expected_value: Value, label: measure} + - {column: L, row: 3857, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3862 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3862, expected_value: E12000001, label: geography} + - {column: D, row: 3862, expected_value: Females, label: sex} + - {column: E, row: 3862, expected_value: Self-employed, label: employment type} + - {column: J, row: 3862, expected_value: Value, label: measure} + - {column: L, row: 3863, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3864 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3864, expected_value: E12000001, label: geography} + - {column: D, row: 3864, expected_value: Females, label: sex} + - {column: E, row: 3864, expected_value: Self-employed, label: employment type} + - {column: J, row: 3864, expected_value: Value, label: measure} + - {column: L, row: 3865, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3866 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3866, expected_value: E12000001, label: geography} + - {column: D, row: 3866, expected_value: Females, label: sex} + - {column: E, row: 3866, expected_value: Self-employed, label: employment type} + - {column: J, row: 3866, expected_value: Value, label: measure} + - {column: L, row: 3867, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3868 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3868, expected_value: E12000001, label: geography} + - {column: D, row: 3868, expected_value: Females, label: sex} + - {column: E, row: 3868, expected_value: Self-employed, label: employment type} + - {column: J, row: 3868, expected_value: Value, label: measure} + - {column: L, row: 3869, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3872 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3872, expected_value: E12000001, label: geography} + - {column: D, row: 3872, expected_value: Females, label: sex} + - {column: E, row: 3872, expected_value: Self-employed, label: employment type} + - {column: J, row: 3872, expected_value: Value, label: measure} + - {column: L, row: 3873, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3874 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3874, expected_value: E12000001, label: geography} + - {column: D, row: 3874, expected_value: Females, label: sex} + - {column: E, row: 3874, expected_value: Self-employed, label: employment type} + - {column: J, row: 3874, expected_value: Value, label: measure} + - {column: L, row: 3875, expected_value: G, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3876 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3876, expected_value: E12000001, label: geography} + - {column: D, row: 3876, expected_value: Females, label: sex} + - {column: E, row: 3876, expected_value: Self-employed, label: employment type} + - {column: J, row: 3876, expected_value: Value, label: measure} + - {column: L, row: 3877, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3878 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3878, expected_value: E12000001, label: geography} + - {column: D, row: 3878, expected_value: Females, label: sex} + - {column: E, row: 3878, expected_value: Self-employed, label: employment type} + - {column: J, row: 3878, expected_value: Value, label: measure} + - {column: L, row: 3879, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3884 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3884, expected_value: E12000001, label: geography} + - {column: D, row: 3884, expected_value: Females, label: sex} + - {column: E, row: 3884, expected_value: Self-employed, label: employment type} + - {column: J, row: 3884, expected_value: Value, label: measure} + - {column: L, row: 3885, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3888 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3888, expected_value: E12000001, label: geography} + - {column: D, row: 3888, expected_value: Females, label: sex} + - {column: E, row: 3888, expected_value: Self-employed, label: employment type} + - {column: J, row: 3888, expected_value: Value, label: measure} + - {column: L, row: 3889, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3819 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3819, expected_value: E12000001, label: geography} + - {column: D, row: 3819, expected_value: Females, label: sex} + - {column: E, row: 3819, expected_value: Self-employed, label: employment type} + - {column: J, row: 3819, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3821 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3821, expected_value: E12000001, label: geography} + - {column: D, row: 3821, expected_value: Females, label: sex} + - {column: E, row: 3821, expected_value: Self-employed, label: employment type} + - {column: J, row: 3821, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3823 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3823, expected_value: E12000001, label: geography} + - {column: D, row: 3823, expected_value: Females, label: sex} + - {column: E, row: 3823, expected_value: Self-employed, label: employment type} + - {column: J, row: 3823, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3825 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3825, expected_value: E12000001, label: geography} + - {column: D, row: 3825, expected_value: Females, label: sex} + - {column: E, row: 3825, expected_value: Self-employed, label: employment type} + - {column: J, row: 3825, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3827 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3827, expected_value: E12000001, label: geography} + - {column: D, row: 3827, expected_value: Females, label: sex} + - {column: E, row: 3827, expected_value: Self-employed, label: employment type} + - {column: J, row: 3827, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3837 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3837, expected_value: E12000001, label: geography} + - {column: D, row: 3837, expected_value: Females, label: sex} + - {column: E, row: 3837, expected_value: Self-employed, label: employment type} + - {column: J, row: 3837, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3845 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3845, expected_value: E12000001, label: geography} + - {column: D, row: 3845, expected_value: Females, label: sex} + - {column: E, row: 3845, expected_value: Self-employed, label: employment type} + - {column: J, row: 3845, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3847 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3847, expected_value: E12000001, label: geography} + - {column: D, row: 3847, expected_value: Females, label: sex} + - {column: E, row: 3847, expected_value: Self-employed, label: employment type} + - {column: J, row: 3847, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3849 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3849, expected_value: E12000001, label: geography} + - {column: D, row: 3849, expected_value: Females, label: sex} + - {column: E, row: 3849, expected_value: Self-employed, label: employment type} + - {column: J, row: 3849, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3851 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3851, expected_value: E12000001, label: geography} + - {column: D, row: 3851, expected_value: Females, label: sex} + - {column: E, row: 3851, expected_value: Self-employed, label: employment type} + - {column: J, row: 3851, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3855 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3855, expected_value: E12000001, label: geography} + - {column: D, row: 3855, expected_value: Females, label: sex} + - {column: E, row: 3855, expected_value: Self-employed, label: employment type} + - {column: J, row: 3855, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3865 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3865, expected_value: E12000001, label: geography} + - {column: D, row: 3865, expected_value: Females, label: sex} + - {column: E, row: 3865, expected_value: Self-employed, label: employment type} + - {column: J, row: 3865, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3867 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3867, expected_value: E12000001, label: geography} + - {column: D, row: 3867, expected_value: Females, label: sex} + - {column: E, row: 3867, expected_value: Self-employed, label: employment type} + - {column: J, row: 3867, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3869 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3869, expected_value: E12000001, label: geography} + - {column: D, row: 3869, expected_value: Females, label: sex} + - {column: E, row: 3869, expected_value: Self-employed, label: employment type} + - {column: J, row: 3869, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3885 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3885, expected_value: E12000001, label: geography} + - {column: D, row: 3885, expected_value: Females, label: sex} + - {column: E, row: 3885, expected_value: Self-employed, label: employment type} + - {column: J, row: 3885, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3889 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3889, expected_value: E12000001, label: geography} + - {column: D, row: 3889, expected_value: Females, label: sex} + - {column: E, row: 3889, expected_value: Self-employed, label: employment type} + - {column: J, row: 3889, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3890 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3890, expected_value: E12000002, label: geography} + - {column: D, row: 3890, expected_value: All persons, label: sex} + - {column: E, row: 3890, expected_value: Total, label: employment type} + - {column: J, row: 3890, expected_value: Value, label: measure} + - {column: L, row: 3891, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3892 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3892, expected_value: E12000002, label: geography} + - {column: D, row: 3892, expected_value: All persons, label: sex} + - {column: E, row: 3892, expected_value: Total, label: employment type} + - {column: J, row: 3892, expected_value: Value, label: measure} + - {column: L, row: 3893, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3894 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3894, expected_value: E12000002, label: geography} + - {column: D, row: 3894, expected_value: All persons, label: sex} + - {column: E, row: 3894, expected_value: Total, label: employment type} + - {column: J, row: 3894, expected_value: Value, label: measure} + - {column: L, row: 3895, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3896 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3896, expected_value: E12000002, label: geography} + - {column: D, row: 3896, expected_value: All persons, label: sex} + - {column: E, row: 3896, expected_value: Total, label: employment type} + - {column: J, row: 3896, expected_value: Value, label: measure} + - {column: L, row: 3897, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3898 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3898, expected_value: E12000002, label: geography} + - {column: D, row: 3898, expected_value: All persons, label: sex} + - {column: E, row: 3898, expected_value: Total, label: employment type} + - {column: J, row: 3898, expected_value: Value, label: measure} + - {column: L, row: 3899, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3900 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3900, expected_value: E12000002, label: geography} + - {column: D, row: 3900, expected_value: All persons, label: sex} + - {column: E, row: 3900, expected_value: Total, label: employment type} + - {column: J, row: 3900, expected_value: Value, label: measure} + - {column: L, row: 3901, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3902 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3902, expected_value: E12000002, label: geography} + - {column: D, row: 3902, expected_value: All persons, label: sex} + - {column: E, row: 3902, expected_value: Total, label: employment type} + - {column: J, row: 3902, expected_value: Value, label: measure} + - {column: L, row: 3903, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3904 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3904, expected_value: E12000002, label: geography} + - {column: D, row: 3904, expected_value: All persons, label: sex} + - {column: E, row: 3904, expected_value: Total, label: employment type} + - {column: J, row: 3904, expected_value: Value, label: measure} + - {column: L, row: 3905, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3906 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3906, expected_value: E12000002, label: geography} + - {column: D, row: 3906, expected_value: All persons, label: sex} + - {column: E, row: 3906, expected_value: Total, label: employment type} + - {column: J, row: 3906, expected_value: Value, label: measure} + - {column: L, row: 3907, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3908 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3908, expected_value: E12000002, label: geography} + - {column: D, row: 3908, expected_value: All persons, label: sex} + - {column: E, row: 3908, expected_value: Total, label: employment type} + - {column: J, row: 3908, expected_value: Value, label: measure} + - {column: L, row: 3909, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3910 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3910, expected_value: E12000002, label: geography} + - {column: D, row: 3910, expected_value: All persons, label: sex} + - {column: E, row: 3910, expected_value: Total, label: employment type} + - {column: J, row: 3910, expected_value: Value, label: measure} + - {column: L, row: 3911, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3912 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3912, expected_value: E12000002, label: geography} + - {column: D, row: 3912, expected_value: All persons, label: sex} + - {column: E, row: 3912, expected_value: Total, label: employment type} + - {column: J, row: 3912, expected_value: Value, label: measure} + - {column: L, row: 3913, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3914 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3914, expected_value: E12000002, label: geography} + - {column: D, row: 3914, expected_value: All persons, label: sex} + - {column: E, row: 3914, expected_value: Total, label: employment type} + - {column: J, row: 3914, expected_value: Value, label: measure} + - {column: L, row: 3915, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3916 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3916, expected_value: E12000002, label: geography} + - {column: D, row: 3916, expected_value: All persons, label: sex} + - {column: E, row: 3916, expected_value: Total, label: employment type} + - {column: J, row: 3916, expected_value: Value, label: measure} + - {column: L, row: 3917, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3918 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3918, expected_value: E12000002, label: geography} + - {column: D, row: 3918, expected_value: All persons, label: sex} + - {column: E, row: 3918, expected_value: Total, label: employment type} + - {column: J, row: 3918, expected_value: Value, label: measure} + - {column: L, row: 3919, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3920 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3920, expected_value: E12000002, label: geography} + - {column: D, row: 3920, expected_value: All persons, label: sex} + - {column: E, row: 3920, expected_value: Total, label: employment type} + - {column: J, row: 3920, expected_value: Value, label: measure} + - {column: L, row: 3921, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3922 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3922, expected_value: E12000002, label: geography} + - {column: D, row: 3922, expected_value: All persons, label: sex} + - {column: E, row: 3922, expected_value: Total, label: employment type} + - {column: J, row: 3922, expected_value: Value, label: measure} + - {column: L, row: 3923, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3924 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3924, expected_value: E12000002, label: geography} + - {column: D, row: 3924, expected_value: All persons, label: sex} + - {column: E, row: 3924, expected_value: Total, label: employment type} + - {column: J, row: 3924, expected_value: Value, label: measure} + - {column: L, row: 3925, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3926 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3926, expected_value: E12000002, label: geography} + - {column: D, row: 3926, expected_value: All persons, label: sex} + - {column: E, row: 3926, expected_value: Total, label: employment type} + - {column: J, row: 3926, expected_value: Value, label: measure} + - {column: L, row: 3927, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3928 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3928, expected_value: E12000002, label: geography} + - {column: D, row: 3928, expected_value: All persons, label: sex} + - {column: E, row: 3928, expected_value: Total, label: employment type} + - {column: J, row: 3928, expected_value: Value, label: measure} + - {column: L, row: 3929, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3930 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3930, expected_value: E12000002, label: geography} + - {column: D, row: 3930, expected_value: All persons, label: sex} + - {column: E, row: 3930, expected_value: Total, label: employment type} + - {column: J, row: 3930, expected_value: Value, label: measure} + - {column: L, row: 3931, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3932 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3932, expected_value: E12000002, label: geography} + - {column: D, row: 3932, expected_value: All persons, label: sex} + - {column: E, row: 3932, expected_value: Total, label: employment type} + - {column: J, row: 3932, expected_value: Value, label: measure} + - {column: L, row: 3933, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3934 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3934, expected_value: E12000002, label: geography} + - {column: D, row: 3934, expected_value: All persons, label: sex} + - {column: E, row: 3934, expected_value: Total, label: employment type} + - {column: J, row: 3934, expected_value: Value, label: measure} + - {column: L, row: 3935, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3936 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3936, expected_value: E12000002, label: geography} + - {column: D, row: 3936, expected_value: All persons, label: sex} + - {column: E, row: 3936, expected_value: Total, label: employment type} + - {column: J, row: 3936, expected_value: Value, label: measure} + - {column: L, row: 3937, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3938 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3938, expected_value: E12000002, label: geography} + - {column: D, row: 3938, expected_value: All persons, label: sex} + - {column: E, row: 3938, expected_value: Total, label: employment type} + - {column: J, row: 3938, expected_value: Value, label: measure} + - {column: L, row: 3939, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3940 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3940, expected_value: E12000002, label: geography} + - {column: D, row: 3940, expected_value: All persons, label: sex} + - {column: E, row: 3940, expected_value: Total, label: employment type} + - {column: J, row: 3940, expected_value: Value, label: measure} + - {column: L, row: 3941, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3942 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3942, expected_value: E12000002, label: geography} + - {column: D, row: 3942, expected_value: All persons, label: sex} + - {column: E, row: 3942, expected_value: Total, label: employment type} + - {column: J, row: 3942, expected_value: Value, label: measure} + - {column: L, row: 3943, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3944 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3944, expected_value: E12000002, label: geography} + - {column: D, row: 3944, expected_value: All persons, label: sex} + - {column: E, row: 3944, expected_value: Total, label: employment type} + - {column: J, row: 3944, expected_value: Value, label: measure} + - {column: L, row: 3945, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3946 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3946, expected_value: E12000002, label: geography} + - {column: D, row: 3946, expected_value: All persons, label: sex} + - {column: E, row: 3946, expected_value: Total, label: employment type} + - {column: J, row: 3946, expected_value: Value, label: measure} + - {column: L, row: 3947, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3948 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3948, expected_value: E12000002, label: geography} + - {column: D, row: 3948, expected_value: All persons, label: sex} + - {column: E, row: 3948, expected_value: Total, label: employment type} + - {column: J, row: 3948, expected_value: Value, label: measure} + - {column: L, row: 3949, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3950 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3950, expected_value: E12000002, label: geography} + - {column: D, row: 3950, expected_value: All persons, label: sex} + - {column: E, row: 3950, expected_value: Total, label: employment type} + - {column: J, row: 3950, expected_value: Value, label: measure} + - {column: L, row: 3951, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3952 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3952, expected_value: E12000002, label: geography} + - {column: D, row: 3952, expected_value: All persons, label: sex} + - {column: E, row: 3952, expected_value: Total, label: employment type} + - {column: J, row: 3952, expected_value: Value, label: measure} + - {column: L, row: 3953, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3954 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3954, expected_value: E12000002, label: geography} + - {column: D, row: 3954, expected_value: All persons, label: sex} + - {column: E, row: 3954, expected_value: Total, label: employment type} + - {column: J, row: 3954, expected_value: Value, label: measure} + - {column: L, row: 3955, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3956 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3956, expected_value: E12000002, label: geography} + - {column: D, row: 3956, expected_value: All persons, label: sex} + - {column: E, row: 3956, expected_value: Total, label: employment type} + - {column: J, row: 3956, expected_value: Value, label: measure} + - {column: L, row: 3957, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3958 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3958, expected_value: E12000002, label: geography} + - {column: D, row: 3958, expected_value: All persons, label: sex} + - {column: E, row: 3958, expected_value: Total, label: employment type} + - {column: J, row: 3958, expected_value: Value, label: measure} + - {column: L, row: 3959, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3960 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3960, expected_value: E12000002, label: geography} + - {column: D, row: 3960, expected_value: All persons, label: sex} + - {column: E, row: 3960, expected_value: Total, label: employment type} + - {column: J, row: 3960, expected_value: Value, label: measure} + - {column: L, row: 3961, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3891 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3891, expected_value: E12000002, label: geography} + - {column: D, row: 3891, expected_value: All persons, label: sex} + - {column: E, row: 3891, expected_value: Total, label: employment type} + - {column: J, row: 3891, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3893 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3893, expected_value: E12000002, label: geography} + - {column: D, row: 3893, expected_value: All persons, label: sex} + - {column: E, row: 3893, expected_value: Total, label: employment type} + - {column: J, row: 3893, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3895 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3895, expected_value: E12000002, label: geography} + - {column: D, row: 3895, expected_value: All persons, label: sex} + - {column: E, row: 3895, expected_value: Total, label: employment type} + - {column: J, row: 3895, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3897 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3897, expected_value: E12000002, label: geography} + - {column: D, row: 3897, expected_value: All persons, label: sex} + - {column: E, row: 3897, expected_value: Total, label: employment type} + - {column: J, row: 3897, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3899 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3899, expected_value: E12000002, label: geography} + - {column: D, row: 3899, expected_value: All persons, label: sex} + - {column: E, row: 3899, expected_value: Total, label: employment type} + - {column: J, row: 3899, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3901 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3901, expected_value: E12000002, label: geography} + - {column: D, row: 3901, expected_value: All persons, label: sex} + - {column: E, row: 3901, expected_value: Total, label: employment type} + - {column: J, row: 3901, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3903 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3903, expected_value: E12000002, label: geography} + - {column: D, row: 3903, expected_value: All persons, label: sex} + - {column: E, row: 3903, expected_value: Total, label: employment type} + - {column: J, row: 3903, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3905 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3905, expected_value: E12000002, label: geography} + - {column: D, row: 3905, expected_value: All persons, label: sex} + - {column: E, row: 3905, expected_value: Total, label: employment type} + - {column: J, row: 3905, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3907 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3907, expected_value: E12000002, label: geography} + - {column: D, row: 3907, expected_value: All persons, label: sex} + - {column: E, row: 3907, expected_value: Total, label: employment type} + - {column: J, row: 3907, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3909 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3909, expected_value: E12000002, label: geography} + - {column: D, row: 3909, expected_value: All persons, label: sex} + - {column: E, row: 3909, expected_value: Total, label: employment type} + - {column: J, row: 3909, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3911 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3911, expected_value: E12000002, label: geography} + - {column: D, row: 3911, expected_value: All persons, label: sex} + - {column: E, row: 3911, expected_value: Total, label: employment type} + - {column: J, row: 3911, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3913 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3913, expected_value: E12000002, label: geography} + - {column: D, row: 3913, expected_value: All persons, label: sex} + - {column: E, row: 3913, expected_value: Total, label: employment type} + - {column: J, row: 3913, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3915 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3915, expected_value: E12000002, label: geography} + - {column: D, row: 3915, expected_value: All persons, label: sex} + - {column: E, row: 3915, expected_value: Total, label: employment type} + - {column: J, row: 3915, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3917 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3917, expected_value: E12000002, label: geography} + - {column: D, row: 3917, expected_value: All persons, label: sex} + - {column: E, row: 3917, expected_value: Total, label: employment type} + - {column: J, row: 3917, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3919 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3919, expected_value: E12000002, label: geography} + - {column: D, row: 3919, expected_value: All persons, label: sex} + - {column: E, row: 3919, expected_value: Total, label: employment type} + - {column: J, row: 3919, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3921 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3921, expected_value: E12000002, label: geography} + - {column: D, row: 3921, expected_value: All persons, label: sex} + - {column: E, row: 3921, expected_value: Total, label: employment type} + - {column: J, row: 3921, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3923 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3923, expected_value: E12000002, label: geography} + - {column: D, row: 3923, expected_value: All persons, label: sex} + - {column: E, row: 3923, expected_value: Total, label: employment type} + - {column: J, row: 3923, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3925 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3925, expected_value: E12000002, label: geography} + - {column: D, row: 3925, expected_value: All persons, label: sex} + - {column: E, row: 3925, expected_value: Total, label: employment type} + - {column: J, row: 3925, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3927 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3927, expected_value: E12000002, label: geography} + - {column: D, row: 3927, expected_value: All persons, label: sex} + - {column: E, row: 3927, expected_value: Total, label: employment type} + - {column: J, row: 3927, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3929 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3929, expected_value: E12000002, label: geography} + - {column: D, row: 3929, expected_value: All persons, label: sex} + - {column: E, row: 3929, expected_value: Total, label: employment type} + - {column: J, row: 3929, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3931 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3931, expected_value: E12000002, label: geography} + - {column: D, row: 3931, expected_value: All persons, label: sex} + - {column: E, row: 3931, expected_value: Total, label: employment type} + - {column: J, row: 3931, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3933 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3933, expected_value: E12000002, label: geography} + - {column: D, row: 3933, expected_value: All persons, label: sex} + - {column: E, row: 3933, expected_value: Total, label: employment type} + - {column: J, row: 3933, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3935 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3935, expected_value: E12000002, label: geography} + - {column: D, row: 3935, expected_value: All persons, label: sex} + - {column: E, row: 3935, expected_value: Total, label: employment type} + - {column: J, row: 3935, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3937 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3937, expected_value: E12000002, label: geography} + - {column: D, row: 3937, expected_value: All persons, label: sex} + - {column: E, row: 3937, expected_value: Total, label: employment type} + - {column: J, row: 3937, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3939 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3939, expected_value: E12000002, label: geography} + - {column: D, row: 3939, expected_value: All persons, label: sex} + - {column: E, row: 3939, expected_value: Total, label: employment type} + - {column: J, row: 3939, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3941 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3941, expected_value: E12000002, label: geography} + - {column: D, row: 3941, expected_value: All persons, label: sex} + - {column: E, row: 3941, expected_value: Total, label: employment type} + - {column: J, row: 3941, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3945 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3945, expected_value: E12000002, label: geography} + - {column: D, row: 3945, expected_value: All persons, label: sex} + - {column: E, row: 3945, expected_value: Total, label: employment type} + - {column: J, row: 3945, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3947 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3947, expected_value: E12000002, label: geography} + - {column: D, row: 3947, expected_value: All persons, label: sex} + - {column: E, row: 3947, expected_value: Total, label: employment type} + - {column: J, row: 3947, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3949 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3949, expected_value: E12000002, label: geography} + - {column: D, row: 3949, expected_value: All persons, label: sex} + - {column: E, row: 3949, expected_value: Total, label: employment type} + - {column: J, row: 3949, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3951 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3951, expected_value: E12000002, label: geography} + - {column: D, row: 3951, expected_value: All persons, label: sex} + - {column: E, row: 3951, expected_value: Total, label: employment type} + - {column: J, row: 3951, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3953 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3953, expected_value: E12000002, label: geography} + - {column: D, row: 3953, expected_value: All persons, label: sex} + - {column: E, row: 3953, expected_value: Total, label: employment type} + - {column: J, row: 3953, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3955 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3955, expected_value: E12000002, label: geography} + - {column: D, row: 3955, expected_value: All persons, label: sex} + - {column: E, row: 3955, expected_value: Total, label: employment type} + - {column: J, row: 3955, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3957 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3957, expected_value: E12000002, label: geography} + - {column: D, row: 3957, expected_value: All persons, label: sex} + - {column: E, row: 3957, expected_value: Total, label: employment type} + - {column: J, row: 3957, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3959 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3959, expected_value: E12000002, label: geography} + - {column: D, row: 3959, expected_value: All persons, label: sex} + - {column: E, row: 3959, expected_value: Total, label: employment type} + - {column: J, row: 3959, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3961 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3961, expected_value: E12000002, label: geography} + - {column: D, row: 3961, expected_value: All persons, label: sex} + - {column: E, row: 3961, expected_value: Total, label: employment type} + - {column: J, row: 3961, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4106 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4106, expected_value: E12000002, label: geography} + - {column: D, row: 4106, expected_value: All persons, label: sex} + - {column: E, row: 4106, expected_value: Employee, label: employment type} + - {column: J, row: 4106, expected_value: Value, label: measure} + - {column: L, row: 4107, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4108 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4108, expected_value: E12000002, label: geography} + - {column: D, row: 4108, expected_value: All persons, label: sex} + - {column: E, row: 4108, expected_value: Employee, label: employment type} + - {column: J, row: 4108, expected_value: Value, label: measure} + - {column: L, row: 4109, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4110 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4110, expected_value: E12000002, label: geography} + - {column: D, row: 4110, expected_value: All persons, label: sex} + - {column: E, row: 4110, expected_value: Employee, label: employment type} + - {column: J, row: 4110, expected_value: Value, label: measure} + - {column: L, row: 4111, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4112 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4112, expected_value: E12000002, label: geography} + - {column: D, row: 4112, expected_value: All persons, label: sex} + - {column: E, row: 4112, expected_value: Employee, label: employment type} + - {column: J, row: 4112, expected_value: Value, label: measure} + - {column: L, row: 4113, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4114 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4114, expected_value: E12000002, label: geography} + - {column: D, row: 4114, expected_value: All persons, label: sex} + - {column: E, row: 4114, expected_value: Employee, label: employment type} + - {column: J, row: 4114, expected_value: Value, label: measure} + - {column: L, row: 4115, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4116 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4116, expected_value: E12000002, label: geography} + - {column: D, row: 4116, expected_value: All persons, label: sex} + - {column: E, row: 4116, expected_value: Employee, label: employment type} + - {column: J, row: 4116, expected_value: Value, label: measure} + - {column: L, row: 4117, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4118 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4118, expected_value: E12000002, label: geography} + - {column: D, row: 4118, expected_value: All persons, label: sex} + - {column: E, row: 4118, expected_value: Employee, label: employment type} + - {column: J, row: 4118, expected_value: Value, label: measure} + - {column: L, row: 4119, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4120 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4120, expected_value: E12000002, label: geography} + - {column: D, row: 4120, expected_value: All persons, label: sex} + - {column: E, row: 4120, expected_value: Employee, label: employment type} + - {column: J, row: 4120, expected_value: Value, label: measure} + - {column: L, row: 4121, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4122 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4122, expected_value: E12000002, label: geography} + - {column: D, row: 4122, expected_value: All persons, label: sex} + - {column: E, row: 4122, expected_value: Employee, label: employment type} + - {column: J, row: 4122, expected_value: Value, label: measure} + - {column: L, row: 4123, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4124 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4124, expected_value: E12000002, label: geography} + - {column: D, row: 4124, expected_value: All persons, label: sex} + - {column: E, row: 4124, expected_value: Employee, label: employment type} + - {column: J, row: 4124, expected_value: Value, label: measure} + - {column: L, row: 4125, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4126 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4126, expected_value: E12000002, label: geography} + - {column: D, row: 4126, expected_value: All persons, label: sex} + - {column: E, row: 4126, expected_value: Employee, label: employment type} + - {column: J, row: 4126, expected_value: Value, label: measure} + - {column: L, row: 4127, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4128 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4128, expected_value: E12000002, label: geography} + - {column: D, row: 4128, expected_value: All persons, label: sex} + - {column: E, row: 4128, expected_value: Employee, label: employment type} + - {column: J, row: 4128, expected_value: Value, label: measure} + - {column: L, row: 4129, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4130 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4130, expected_value: E12000002, label: geography} + - {column: D, row: 4130, expected_value: All persons, label: sex} + - {column: E, row: 4130, expected_value: Employee, label: employment type} + - {column: J, row: 4130, expected_value: Value, label: measure} + - {column: L, row: 4131, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4132 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4132, expected_value: E12000002, label: geography} + - {column: D, row: 4132, expected_value: All persons, label: sex} + - {column: E, row: 4132, expected_value: Employee, label: employment type} + - {column: J, row: 4132, expected_value: Value, label: measure} + - {column: L, row: 4133, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4134 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4134, expected_value: E12000002, label: geography} + - {column: D, row: 4134, expected_value: All persons, label: sex} + - {column: E, row: 4134, expected_value: Employee, label: employment type} + - {column: J, row: 4134, expected_value: Value, label: measure} + - {column: L, row: 4135, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4136 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4136, expected_value: E12000002, label: geography} + - {column: D, row: 4136, expected_value: All persons, label: sex} + - {column: E, row: 4136, expected_value: Employee, label: employment type} + - {column: J, row: 4136, expected_value: Value, label: measure} + - {column: L, row: 4137, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4138 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4138, expected_value: E12000002, label: geography} + - {column: D, row: 4138, expected_value: All persons, label: sex} + - {column: E, row: 4138, expected_value: Employee, label: employment type} + - {column: J, row: 4138, expected_value: Value, label: measure} + - {column: L, row: 4139, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4140 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4140, expected_value: E12000002, label: geography} + - {column: D, row: 4140, expected_value: All persons, label: sex} + - {column: E, row: 4140, expected_value: Employee, label: employment type} + - {column: J, row: 4140, expected_value: Value, label: measure} + - {column: L, row: 4141, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4142 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4142, expected_value: E12000002, label: geography} + - {column: D, row: 4142, expected_value: All persons, label: sex} + - {column: E, row: 4142, expected_value: Employee, label: employment type} + - {column: J, row: 4142, expected_value: Value, label: measure} + - {column: L, row: 4143, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4144 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4144, expected_value: E12000002, label: geography} + - {column: D, row: 4144, expected_value: All persons, label: sex} + - {column: E, row: 4144, expected_value: Employee, label: employment type} + - {column: J, row: 4144, expected_value: Value, label: measure} + - {column: L, row: 4145, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4146 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4146, expected_value: E12000002, label: geography} + - {column: D, row: 4146, expected_value: All persons, label: sex} + - {column: E, row: 4146, expected_value: Employee, label: employment type} + - {column: J, row: 4146, expected_value: Value, label: measure} + - {column: L, row: 4147, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4148 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4148, expected_value: E12000002, label: geography} + - {column: D, row: 4148, expected_value: All persons, label: sex} + - {column: E, row: 4148, expected_value: Employee, label: employment type} + - {column: J, row: 4148, expected_value: Value, label: measure} + - {column: L, row: 4149, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4150 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4150, expected_value: E12000002, label: geography} + - {column: D, row: 4150, expected_value: All persons, label: sex} + - {column: E, row: 4150, expected_value: Employee, label: employment type} + - {column: J, row: 4150, expected_value: Value, label: measure} + - {column: L, row: 4151, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4152 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4152, expected_value: E12000002, label: geography} + - {column: D, row: 4152, expected_value: All persons, label: sex} + - {column: E, row: 4152, expected_value: Employee, label: employment type} + - {column: J, row: 4152, expected_value: Value, label: measure} + - {column: L, row: 4153, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4154 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4154, expected_value: E12000002, label: geography} + - {column: D, row: 4154, expected_value: All persons, label: sex} + - {column: E, row: 4154, expected_value: Employee, label: employment type} + - {column: J, row: 4154, expected_value: Value, label: measure} + - {column: L, row: 4155, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4156 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4156, expected_value: E12000002, label: geography} + - {column: D, row: 4156, expected_value: All persons, label: sex} + - {column: E, row: 4156, expected_value: Employee, label: employment type} + - {column: J, row: 4156, expected_value: Value, label: measure} + - {column: L, row: 4157, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4158 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4158, expected_value: E12000002, label: geography} + - {column: D, row: 4158, expected_value: All persons, label: sex} + - {column: E, row: 4158, expected_value: Employee, label: employment type} + - {column: J, row: 4158, expected_value: Value, label: measure} + - {column: L, row: 4159, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4160 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4160, expected_value: E12000002, label: geography} + - {column: D, row: 4160, expected_value: All persons, label: sex} + - {column: E, row: 4160, expected_value: Employee, label: employment type} + - {column: J, row: 4160, expected_value: Value, label: measure} + - {column: L, row: 4161, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4162 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4162, expected_value: E12000002, label: geography} + - {column: D, row: 4162, expected_value: All persons, label: sex} + - {column: E, row: 4162, expected_value: Employee, label: employment type} + - {column: J, row: 4162, expected_value: Value, label: measure} + - {column: L, row: 4163, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4164 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4164, expected_value: E12000002, label: geography} + - {column: D, row: 4164, expected_value: All persons, label: sex} + - {column: E, row: 4164, expected_value: Employee, label: employment type} + - {column: J, row: 4164, expected_value: Value, label: measure} + - {column: L, row: 4165, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4166 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4166, expected_value: E12000002, label: geography} + - {column: D, row: 4166, expected_value: All persons, label: sex} + - {column: E, row: 4166, expected_value: Employee, label: employment type} + - {column: J, row: 4166, expected_value: Value, label: measure} + - {column: L, row: 4167, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4168 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4168, expected_value: E12000002, label: geography} + - {column: D, row: 4168, expected_value: All persons, label: sex} + - {column: E, row: 4168, expected_value: Employee, label: employment type} + - {column: J, row: 4168, expected_value: Value, label: measure} + - {column: L, row: 4169, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4170 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4170, expected_value: E12000002, label: geography} + - {column: D, row: 4170, expected_value: All persons, label: sex} + - {column: E, row: 4170, expected_value: Employee, label: employment type} + - {column: J, row: 4170, expected_value: Value, label: measure} + - {column: L, row: 4171, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4172 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4172, expected_value: E12000002, label: geography} + - {column: D, row: 4172, expected_value: All persons, label: sex} + - {column: E, row: 4172, expected_value: Employee, label: employment type} + - {column: J, row: 4172, expected_value: Value, label: measure} + - {column: L, row: 4173, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4174 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4174, expected_value: E12000002, label: geography} + - {column: D, row: 4174, expected_value: All persons, label: sex} + - {column: E, row: 4174, expected_value: Employee, label: employment type} + - {column: J, row: 4174, expected_value: Value, label: measure} + - {column: L, row: 4175, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4176 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4176, expected_value: E12000002, label: geography} + - {column: D, row: 4176, expected_value: All persons, label: sex} + - {column: E, row: 4176, expected_value: Employee, label: employment type} + - {column: J, row: 4176, expected_value: Value, label: measure} + - {column: L, row: 4177, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4107 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4107, expected_value: E12000002, label: geography} + - {column: D, row: 4107, expected_value: All persons, label: sex} + - {column: E, row: 4107, expected_value: Employee, label: employment type} + - {column: J, row: 4107, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4109 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4109, expected_value: E12000002, label: geography} + - {column: D, row: 4109, expected_value: All persons, label: sex} + - {column: E, row: 4109, expected_value: Employee, label: employment type} + - {column: J, row: 4109, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4111 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4111, expected_value: E12000002, label: geography} + - {column: D, row: 4111, expected_value: All persons, label: sex} + - {column: E, row: 4111, expected_value: Employee, label: employment type} + - {column: J, row: 4111, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4113 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4113, expected_value: E12000002, label: geography} + - {column: D, row: 4113, expected_value: All persons, label: sex} + - {column: E, row: 4113, expected_value: Employee, label: employment type} + - {column: J, row: 4113, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4115 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4115, expected_value: E12000002, label: geography} + - {column: D, row: 4115, expected_value: All persons, label: sex} + - {column: E, row: 4115, expected_value: Employee, label: employment type} + - {column: J, row: 4115, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4117 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4117, expected_value: E12000002, label: geography} + - {column: D, row: 4117, expected_value: All persons, label: sex} + - {column: E, row: 4117, expected_value: Employee, label: employment type} + - {column: J, row: 4117, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4119 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4119, expected_value: E12000002, label: geography} + - {column: D, row: 4119, expected_value: All persons, label: sex} + - {column: E, row: 4119, expected_value: Employee, label: employment type} + - {column: J, row: 4119, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4121 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4121, expected_value: E12000002, label: geography} + - {column: D, row: 4121, expected_value: All persons, label: sex} + - {column: E, row: 4121, expected_value: Employee, label: employment type} + - {column: J, row: 4121, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4123 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4123, expected_value: E12000002, label: geography} + - {column: D, row: 4123, expected_value: All persons, label: sex} + - {column: E, row: 4123, expected_value: Employee, label: employment type} + - {column: J, row: 4123, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4125 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4125, expected_value: E12000002, label: geography} + - {column: D, row: 4125, expected_value: All persons, label: sex} + - {column: E, row: 4125, expected_value: Employee, label: employment type} + - {column: J, row: 4125, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4127 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4127, expected_value: E12000002, label: geography} + - {column: D, row: 4127, expected_value: All persons, label: sex} + - {column: E, row: 4127, expected_value: Employee, label: employment type} + - {column: J, row: 4127, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4129 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4129, expected_value: E12000002, label: geography} + - {column: D, row: 4129, expected_value: All persons, label: sex} + - {column: E, row: 4129, expected_value: Employee, label: employment type} + - {column: J, row: 4129, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4131 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4131, expected_value: E12000002, label: geography} + - {column: D, row: 4131, expected_value: All persons, label: sex} + - {column: E, row: 4131, expected_value: Employee, label: employment type} + - {column: J, row: 4131, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4133 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4133, expected_value: E12000002, label: geography} + - {column: D, row: 4133, expected_value: All persons, label: sex} + - {column: E, row: 4133, expected_value: Employee, label: employment type} + - {column: J, row: 4133, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4135 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4135, expected_value: E12000002, label: geography} + - {column: D, row: 4135, expected_value: All persons, label: sex} + - {column: E, row: 4135, expected_value: Employee, label: employment type} + - {column: J, row: 4135, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4137 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4137, expected_value: E12000002, label: geography} + - {column: D, row: 4137, expected_value: All persons, label: sex} + - {column: E, row: 4137, expected_value: Employee, label: employment type} + - {column: J, row: 4137, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4139 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4139, expected_value: E12000002, label: geography} + - {column: D, row: 4139, expected_value: All persons, label: sex} + - {column: E, row: 4139, expected_value: Employee, label: employment type} + - {column: J, row: 4139, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4141 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4141, expected_value: E12000002, label: geography} + - {column: D, row: 4141, expected_value: All persons, label: sex} + - {column: E, row: 4141, expected_value: Employee, label: employment type} + - {column: J, row: 4141, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4143 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4143, expected_value: E12000002, label: geography} + - {column: D, row: 4143, expected_value: All persons, label: sex} + - {column: E, row: 4143, expected_value: Employee, label: employment type} + - {column: J, row: 4143, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4145 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4145, expected_value: E12000002, label: geography} + - {column: D, row: 4145, expected_value: All persons, label: sex} + - {column: E, row: 4145, expected_value: Employee, label: employment type} + - {column: J, row: 4145, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4147 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4147, expected_value: E12000002, label: geography} + - {column: D, row: 4147, expected_value: All persons, label: sex} + - {column: E, row: 4147, expected_value: Employee, label: employment type} + - {column: J, row: 4147, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4149 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4149, expected_value: E12000002, label: geography} + - {column: D, row: 4149, expected_value: All persons, label: sex} + - {column: E, row: 4149, expected_value: Employee, label: employment type} + - {column: J, row: 4149, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4151 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4151, expected_value: E12000002, label: geography} + - {column: D, row: 4151, expected_value: All persons, label: sex} + - {column: E, row: 4151, expected_value: Employee, label: employment type} + - {column: J, row: 4151, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4153 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4153, expected_value: E12000002, label: geography} + - {column: D, row: 4153, expected_value: All persons, label: sex} + - {column: E, row: 4153, expected_value: Employee, label: employment type} + - {column: J, row: 4153, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4155 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4155, expected_value: E12000002, label: geography} + - {column: D, row: 4155, expected_value: All persons, label: sex} + - {column: E, row: 4155, expected_value: Employee, label: employment type} + - {column: J, row: 4155, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4157 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4157, expected_value: E12000002, label: geography} + - {column: D, row: 4157, expected_value: All persons, label: sex} + - {column: E, row: 4157, expected_value: Employee, label: employment type} + - {column: J, row: 4157, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4161 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4161, expected_value: E12000002, label: geography} + - {column: D, row: 4161, expected_value: All persons, label: sex} + - {column: E, row: 4161, expected_value: Employee, label: employment type} + - {column: J, row: 4161, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4163 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4163, expected_value: E12000002, label: geography} + - {column: D, row: 4163, expected_value: All persons, label: sex} + - {column: E, row: 4163, expected_value: Employee, label: employment type} + - {column: J, row: 4163, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4165 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4165, expected_value: E12000002, label: geography} + - {column: D, row: 4165, expected_value: All persons, label: sex} + - {column: E, row: 4165, expected_value: Employee, label: employment type} + - {column: J, row: 4165, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4167 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4167, expected_value: E12000002, label: geography} + - {column: D, row: 4167, expected_value: All persons, label: sex} + - {column: E, row: 4167, expected_value: Employee, label: employment type} + - {column: J, row: 4167, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4169 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4169, expected_value: E12000002, label: geography} + - {column: D, row: 4169, expected_value: All persons, label: sex} + - {column: E, row: 4169, expected_value: Employee, label: employment type} + - {column: J, row: 4169, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4171 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4171, expected_value: E12000002, label: geography} + - {column: D, row: 4171, expected_value: All persons, label: sex} + - {column: E, row: 4171, expected_value: Employee, label: employment type} + - {column: J, row: 4171, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4173 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4173, expected_value: E12000002, label: geography} + - {column: D, row: 4173, expected_value: All persons, label: sex} + - {column: E, row: 4173, expected_value: Employee, label: employment type} + - {column: J, row: 4173, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4175 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4175, expected_value: E12000002, label: geography} + - {column: D, row: 4175, expected_value: All persons, label: sex} + - {column: E, row: 4175, expected_value: Employee, label: employment type} + - {column: J, row: 4175, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4177 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4177, expected_value: E12000002, label: geography} + - {column: D, row: 4177, expected_value: All persons, label: sex} + - {column: E, row: 4177, expected_value: Employee, label: employment type} + - {column: J, row: 4177, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4322 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4322, expected_value: E12000002, label: geography} + - {column: D, row: 4322, expected_value: All persons, label: sex} + - {column: E, row: 4322, expected_value: Self-employed, label: employment type} + - {column: J, row: 4322, expected_value: Value, label: measure} + - {column: L, row: 4323, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4324 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4324, expected_value: E12000002, label: geography} + - {column: D, row: 4324, expected_value: All persons, label: sex} + - {column: E, row: 4324, expected_value: Self-employed, label: employment type} + - {column: J, row: 4324, expected_value: Value, label: measure} + - {column: L, row: 4325, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4326 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4326, expected_value: E12000002, label: geography} + - {column: D, row: 4326, expected_value: All persons, label: sex} + - {column: E, row: 4326, expected_value: Self-employed, label: employment type} + - {column: J, row: 4326, expected_value: Value, label: measure} + - {column: L, row: 4327, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4328 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4328, expected_value: E12000002, label: geography} + - {column: D, row: 4328, expected_value: All persons, label: sex} + - {column: E, row: 4328, expected_value: Self-employed, label: employment type} + - {column: J, row: 4328, expected_value: Value, label: measure} + - {column: L, row: 4329, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4330 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4330, expected_value: E12000002, label: geography} + - {column: D, row: 4330, expected_value: All persons, label: sex} + - {column: E, row: 4330, expected_value: Self-employed, label: employment type} + - {column: J, row: 4330, expected_value: Value, label: measure} + - {column: L, row: 4331, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4332 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4332, expected_value: E12000002, label: geography} + - {column: D, row: 4332, expected_value: All persons, label: sex} + - {column: E, row: 4332, expected_value: Self-employed, label: employment type} + - {column: J, row: 4332, expected_value: Value, label: measure} + - {column: L, row: 4333, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4334 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4334, expected_value: E12000002, label: geography} + - {column: D, row: 4334, expected_value: All persons, label: sex} + - {column: E, row: 4334, expected_value: Self-employed, label: employment type} + - {column: J, row: 4334, expected_value: Value, label: measure} + - {column: L, row: 4335, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4336 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4336, expected_value: E12000002, label: geography} + - {column: D, row: 4336, expected_value: All persons, label: sex} + - {column: E, row: 4336, expected_value: Self-employed, label: employment type} + - {column: J, row: 4336, expected_value: Value, label: measure} + - {column: L, row: 4337, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4338 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4338, expected_value: E12000002, label: geography} + - {column: D, row: 4338, expected_value: All persons, label: sex} + - {column: E, row: 4338, expected_value: Self-employed, label: employment type} + - {column: J, row: 4338, expected_value: Value, label: measure} + - {column: L, row: 4339, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4340 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4340, expected_value: E12000002, label: geography} + - {column: D, row: 4340, expected_value: All persons, label: sex} + - {column: E, row: 4340, expected_value: Self-employed, label: employment type} + - {column: J, row: 4340, expected_value: Value, label: measure} + - {column: L, row: 4341, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4342 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4342, expected_value: E12000002, label: geography} + - {column: D, row: 4342, expected_value: All persons, label: sex} + - {column: E, row: 4342, expected_value: Self-employed, label: employment type} + - {column: J, row: 4342, expected_value: Value, label: measure} + - {column: L, row: 4343, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4344 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4344, expected_value: E12000002, label: geography} + - {column: D, row: 4344, expected_value: All persons, label: sex} + - {column: E, row: 4344, expected_value: Self-employed, label: employment type} + - {column: J, row: 4344, expected_value: Value, label: measure} + - {column: L, row: 4345, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4346 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4346, expected_value: E12000002, label: geography} + - {column: D, row: 4346, expected_value: All persons, label: sex} + - {column: E, row: 4346, expected_value: Self-employed, label: employment type} + - {column: J, row: 4346, expected_value: Value, label: measure} + - {column: L, row: 4347, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4348 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4348, expected_value: E12000002, label: geography} + - {column: D, row: 4348, expected_value: All persons, label: sex} + - {column: E, row: 4348, expected_value: Self-employed, label: employment type} + - {column: J, row: 4348, expected_value: Value, label: measure} + - {column: L, row: 4349, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4350 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4350, expected_value: E12000002, label: geography} + - {column: D, row: 4350, expected_value: All persons, label: sex} + - {column: E, row: 4350, expected_value: Self-employed, label: employment type} + - {column: J, row: 4350, expected_value: Value, label: measure} + - {column: L, row: 4351, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4352 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4352, expected_value: E12000002, label: geography} + - {column: D, row: 4352, expected_value: All persons, label: sex} + - {column: E, row: 4352, expected_value: Self-employed, label: employment type} + - {column: J, row: 4352, expected_value: Value, label: measure} + - {column: L, row: 4353, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4354 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4354, expected_value: E12000002, label: geography} + - {column: D, row: 4354, expected_value: All persons, label: sex} + - {column: E, row: 4354, expected_value: Self-employed, label: employment type} + - {column: J, row: 4354, expected_value: Value, label: measure} + - {column: L, row: 4355, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4356 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4356, expected_value: E12000002, label: geography} + - {column: D, row: 4356, expected_value: All persons, label: sex} + - {column: E, row: 4356, expected_value: Self-employed, label: employment type} + - {column: J, row: 4356, expected_value: Value, label: measure} + - {column: L, row: 4357, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4358 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4358, expected_value: E12000002, label: geography} + - {column: D, row: 4358, expected_value: All persons, label: sex} + - {column: E, row: 4358, expected_value: Self-employed, label: employment type} + - {column: J, row: 4358, expected_value: Value, label: measure} + - {column: L, row: 4359, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4360 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4360, expected_value: E12000002, label: geography} + - {column: D, row: 4360, expected_value: All persons, label: sex} + - {column: E, row: 4360, expected_value: Self-employed, label: employment type} + - {column: J, row: 4360, expected_value: Value, label: measure} + - {column: L, row: 4361, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4362 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4362, expected_value: E12000002, label: geography} + - {column: D, row: 4362, expected_value: All persons, label: sex} + - {column: E, row: 4362, expected_value: Self-employed, label: employment type} + - {column: J, row: 4362, expected_value: Value, label: measure} + - {column: L, row: 4363, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4364 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4364, expected_value: E12000002, label: geography} + - {column: D, row: 4364, expected_value: All persons, label: sex} + - {column: E, row: 4364, expected_value: Self-employed, label: employment type} + - {column: J, row: 4364, expected_value: Value, label: measure} + - {column: L, row: 4365, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4366 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4366, expected_value: E12000002, label: geography} + - {column: D, row: 4366, expected_value: All persons, label: sex} + - {column: E, row: 4366, expected_value: Self-employed, label: employment type} + - {column: J, row: 4366, expected_value: Value, label: measure} + - {column: L, row: 4367, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4368 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4368, expected_value: E12000002, label: geography} + - {column: D, row: 4368, expected_value: All persons, label: sex} + - {column: E, row: 4368, expected_value: Self-employed, label: employment type} + - {column: J, row: 4368, expected_value: Value, label: measure} + - {column: L, row: 4369, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4370 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4370, expected_value: E12000002, label: geography} + - {column: D, row: 4370, expected_value: All persons, label: sex} + - {column: E, row: 4370, expected_value: Self-employed, label: employment type} + - {column: J, row: 4370, expected_value: Value, label: measure} + - {column: L, row: 4371, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4372 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4372, expected_value: E12000002, label: geography} + - {column: D, row: 4372, expected_value: All persons, label: sex} + - {column: E, row: 4372, expected_value: Self-employed, label: employment type} + - {column: J, row: 4372, expected_value: Value, label: measure} + - {column: L, row: 4373, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4376 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4376, expected_value: E12000002, label: geography} + - {column: D, row: 4376, expected_value: All persons, label: sex} + - {column: E, row: 4376, expected_value: Self-employed, label: employment type} + - {column: J, row: 4376, expected_value: Value, label: measure} + - {column: L, row: 4377, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4378 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4378, expected_value: E12000002, label: geography} + - {column: D, row: 4378, expected_value: All persons, label: sex} + - {column: E, row: 4378, expected_value: Self-employed, label: employment type} + - {column: J, row: 4378, expected_value: Value, label: measure} + - {column: L, row: 4379, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4380 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4380, expected_value: E12000002, label: geography} + - {column: D, row: 4380, expected_value: All persons, label: sex} + - {column: E, row: 4380, expected_value: Self-employed, label: employment type} + - {column: J, row: 4380, expected_value: Value, label: measure} + - {column: L, row: 4381, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4382 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4382, expected_value: E12000002, label: geography} + - {column: D, row: 4382, expected_value: All persons, label: sex} + - {column: E, row: 4382, expected_value: Self-employed, label: employment type} + - {column: J, row: 4382, expected_value: Value, label: measure} + - {column: L, row: 4383, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4384 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4384, expected_value: E12000002, label: geography} + - {column: D, row: 4384, expected_value: All persons, label: sex} + - {column: E, row: 4384, expected_value: Self-employed, label: employment type} + - {column: J, row: 4384, expected_value: Value, label: measure} + - {column: L, row: 4385, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4386 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4386, expected_value: E12000002, label: geography} + - {column: D, row: 4386, expected_value: All persons, label: sex} + - {column: E, row: 4386, expected_value: Self-employed, label: employment type} + - {column: J, row: 4386, expected_value: Value, label: measure} + - {column: L, row: 4387, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4388 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4388, expected_value: E12000002, label: geography} + - {column: D, row: 4388, expected_value: All persons, label: sex} + - {column: E, row: 4388, expected_value: Self-employed, label: employment type} + - {column: J, row: 4388, expected_value: Value, label: measure} + - {column: L, row: 4389, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4390 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4390, expected_value: E12000002, label: geography} + - {column: D, row: 4390, expected_value: All persons, label: sex} + - {column: E, row: 4390, expected_value: Self-employed, label: employment type} + - {column: J, row: 4390, expected_value: Value, label: measure} + - {column: L, row: 4391, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4392 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4392, expected_value: E12000002, label: geography} + - {column: D, row: 4392, expected_value: All persons, label: sex} + - {column: E, row: 4392, expected_value: Self-employed, label: employment type} + - {column: J, row: 4392, expected_value: Value, label: measure} + - {column: L, row: 4393, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4323 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4323, expected_value: E12000002, label: geography} + - {column: D, row: 4323, expected_value: All persons, label: sex} + - {column: E, row: 4323, expected_value: Self-employed, label: employment type} + - {column: J, row: 4323, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4325 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4325, expected_value: E12000002, label: geography} + - {column: D, row: 4325, expected_value: All persons, label: sex} + - {column: E, row: 4325, expected_value: Self-employed, label: employment type} + - {column: J, row: 4325, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4327 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4327, expected_value: E12000002, label: geography} + - {column: D, row: 4327, expected_value: All persons, label: sex} + - {column: E, row: 4327, expected_value: Self-employed, label: employment type} + - {column: J, row: 4327, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4329 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4329, expected_value: E12000002, label: geography} + - {column: D, row: 4329, expected_value: All persons, label: sex} + - {column: E, row: 4329, expected_value: Self-employed, label: employment type} + - {column: J, row: 4329, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4331 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4331, expected_value: E12000002, label: geography} + - {column: D, row: 4331, expected_value: All persons, label: sex} + - {column: E, row: 4331, expected_value: Self-employed, label: employment type} + - {column: J, row: 4331, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4333 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4333, expected_value: E12000002, label: geography} + - {column: D, row: 4333, expected_value: All persons, label: sex} + - {column: E, row: 4333, expected_value: Self-employed, label: employment type} + - {column: J, row: 4333, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4335 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4335, expected_value: E12000002, label: geography} + - {column: D, row: 4335, expected_value: All persons, label: sex} + - {column: E, row: 4335, expected_value: Self-employed, label: employment type} + - {column: J, row: 4335, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4337 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4337, expected_value: E12000002, label: geography} + - {column: D, row: 4337, expected_value: All persons, label: sex} + - {column: E, row: 4337, expected_value: Self-employed, label: employment type} + - {column: J, row: 4337, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4339 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4339, expected_value: E12000002, label: geography} + - {column: D, row: 4339, expected_value: All persons, label: sex} + - {column: E, row: 4339, expected_value: Self-employed, label: employment type} + - {column: J, row: 4339, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4341 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4341, expected_value: E12000002, label: geography} + - {column: D, row: 4341, expected_value: All persons, label: sex} + - {column: E, row: 4341, expected_value: Self-employed, label: employment type} + - {column: J, row: 4341, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4345 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4345, expected_value: E12000002, label: geography} + - {column: D, row: 4345, expected_value: All persons, label: sex} + - {column: E, row: 4345, expected_value: Self-employed, label: employment type} + - {column: J, row: 4345, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4349 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4349, expected_value: E12000002, label: geography} + - {column: D, row: 4349, expected_value: All persons, label: sex} + - {column: E, row: 4349, expected_value: Self-employed, label: employment type} + - {column: J, row: 4349, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4351 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4351, expected_value: E12000002, label: geography} + - {column: D, row: 4351, expected_value: All persons, label: sex} + - {column: E, row: 4351, expected_value: Self-employed, label: employment type} + - {column: J, row: 4351, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4353 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4353, expected_value: E12000002, label: geography} + - {column: D, row: 4353, expected_value: All persons, label: sex} + - {column: E, row: 4353, expected_value: Self-employed, label: employment type} + - {column: J, row: 4353, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4355 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4355, expected_value: E12000002, label: geography} + - {column: D, row: 4355, expected_value: All persons, label: sex} + - {column: E, row: 4355, expected_value: Self-employed, label: employment type} + - {column: J, row: 4355, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4359 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4359, expected_value: E12000002, label: geography} + - {column: D, row: 4359, expected_value: All persons, label: sex} + - {column: E, row: 4359, expected_value: Self-employed, label: employment type} + - {column: J, row: 4359, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4361 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4361, expected_value: E12000002, label: geography} + - {column: D, row: 4361, expected_value: All persons, label: sex} + - {column: E, row: 4361, expected_value: Self-employed, label: employment type} + - {column: J, row: 4361, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4363 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4363, expected_value: E12000002, label: geography} + - {column: D, row: 4363, expected_value: All persons, label: sex} + - {column: E, row: 4363, expected_value: Self-employed, label: employment type} + - {column: J, row: 4363, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4365 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4365, expected_value: E12000002, label: geography} + - {column: D, row: 4365, expected_value: All persons, label: sex} + - {column: E, row: 4365, expected_value: Self-employed, label: employment type} + - {column: J, row: 4365, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4367 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4367, expected_value: E12000002, label: geography} + - {column: D, row: 4367, expected_value: All persons, label: sex} + - {column: E, row: 4367, expected_value: Self-employed, label: employment type} + - {column: J, row: 4367, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4369 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4369, expected_value: E12000002, label: geography} + - {column: D, row: 4369, expected_value: All persons, label: sex} + - {column: E, row: 4369, expected_value: Self-employed, label: employment type} + - {column: J, row: 4369, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4371 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4371, expected_value: E12000002, label: geography} + - {column: D, row: 4371, expected_value: All persons, label: sex} + - {column: E, row: 4371, expected_value: Self-employed, label: employment type} + - {column: J, row: 4371, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4373 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4373, expected_value: E12000002, label: geography} + - {column: D, row: 4373, expected_value: All persons, label: sex} + - {column: E, row: 4373, expected_value: Self-employed, label: employment type} + - {column: J, row: 4373, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4377 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4377, expected_value: E12000002, label: geography} + - {column: D, row: 4377, expected_value: All persons, label: sex} + - {column: E, row: 4377, expected_value: Self-employed, label: employment type} + - {column: J, row: 4377, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4379 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4379, expected_value: E12000002, label: geography} + - {column: D, row: 4379, expected_value: All persons, label: sex} + - {column: E, row: 4379, expected_value: Self-employed, label: employment type} + - {column: J, row: 4379, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4383 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4383, expected_value: E12000002, label: geography} + - {column: D, row: 4383, expected_value: All persons, label: sex} + - {column: E, row: 4383, expected_value: Self-employed, label: employment type} + - {column: J, row: 4383, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4385 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4385, expected_value: E12000002, label: geography} + - {column: D, row: 4385, expected_value: All persons, label: sex} + - {column: E, row: 4385, expected_value: Self-employed, label: employment type} + - {column: J, row: 4385, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4387 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4387, expected_value: E12000002, label: geography} + - {column: D, row: 4387, expected_value: All persons, label: sex} + - {column: E, row: 4387, expected_value: Self-employed, label: employment type} + - {column: J, row: 4387, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4389 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4389, expected_value: E12000002, label: geography} + - {column: D, row: 4389, expected_value: All persons, label: sex} + - {column: E, row: 4389, expected_value: Self-employed, label: employment type} + - {column: J, row: 4389, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4391 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4391, expected_value: E12000002, label: geography} + - {column: D, row: 4391, expected_value: All persons, label: sex} + - {column: E, row: 4391, expected_value: Self-employed, label: employment type} + - {column: J, row: 4391, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4393 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4393, expected_value: E12000002, label: geography} + - {column: D, row: 4393, expected_value: All persons, label: sex} + - {column: E, row: 4393, expected_value: Self-employed, label: employment type} + - {column: J, row: 4393, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3962 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3962, expected_value: E12000002, label: geography} + - {column: D, row: 3962, expected_value: Males, label: sex} + - {column: E, row: 3962, expected_value: Total, label: employment type} + - {column: J, row: 3962, expected_value: Value, label: measure} + - {column: L, row: 3963, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3964 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3964, expected_value: E12000002, label: geography} + - {column: D, row: 3964, expected_value: Males, label: sex} + - {column: E, row: 3964, expected_value: Total, label: employment type} + - {column: J, row: 3964, expected_value: Value, label: measure} + - {column: L, row: 3965, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3966 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3966, expected_value: E12000002, label: geography} + - {column: D, row: 3966, expected_value: Males, label: sex} + - {column: E, row: 3966, expected_value: Total, label: employment type} + - {column: J, row: 3966, expected_value: Value, label: measure} + - {column: L, row: 3967, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3968 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3968, expected_value: E12000002, label: geography} + - {column: D, row: 3968, expected_value: Males, label: sex} + - {column: E, row: 3968, expected_value: Total, label: employment type} + - {column: J, row: 3968, expected_value: Value, label: measure} + - {column: L, row: 3969, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3970 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3970, expected_value: E12000002, label: geography} + - {column: D, row: 3970, expected_value: Males, label: sex} + - {column: E, row: 3970, expected_value: Total, label: employment type} + - {column: J, row: 3970, expected_value: Value, label: measure} + - {column: L, row: 3971, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3972 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3972, expected_value: E12000002, label: geography} + - {column: D, row: 3972, expected_value: Males, label: sex} + - {column: E, row: 3972, expected_value: Total, label: employment type} + - {column: J, row: 3972, expected_value: Value, label: measure} + - {column: L, row: 3973, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3974 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3974, expected_value: E12000002, label: geography} + - {column: D, row: 3974, expected_value: Males, label: sex} + - {column: E, row: 3974, expected_value: Total, label: employment type} + - {column: J, row: 3974, expected_value: Value, label: measure} + - {column: L, row: 3975, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3976 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3976, expected_value: E12000002, label: geography} + - {column: D, row: 3976, expected_value: Males, label: sex} + - {column: E, row: 3976, expected_value: Total, label: employment type} + - {column: J, row: 3976, expected_value: Value, label: measure} + - {column: L, row: 3977, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3978 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3978, expected_value: E12000002, label: geography} + - {column: D, row: 3978, expected_value: Males, label: sex} + - {column: E, row: 3978, expected_value: Total, label: employment type} + - {column: J, row: 3978, expected_value: Value, label: measure} + - {column: L, row: 3979, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3980 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3980, expected_value: E12000002, label: geography} + - {column: D, row: 3980, expected_value: Males, label: sex} + - {column: E, row: 3980, expected_value: Total, label: employment type} + - {column: J, row: 3980, expected_value: Value, label: measure} + - {column: L, row: 3981, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3982 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3982, expected_value: E12000002, label: geography} + - {column: D, row: 3982, expected_value: Males, label: sex} + - {column: E, row: 3982, expected_value: Total, label: employment type} + - {column: J, row: 3982, expected_value: Value, label: measure} + - {column: L, row: 3983, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3984 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3984, expected_value: E12000002, label: geography} + - {column: D, row: 3984, expected_value: Males, label: sex} + - {column: E, row: 3984, expected_value: Total, label: employment type} + - {column: J, row: 3984, expected_value: Value, label: measure} + - {column: L, row: 3985, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3986 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3986, expected_value: E12000002, label: geography} + - {column: D, row: 3986, expected_value: Males, label: sex} + - {column: E, row: 3986, expected_value: Total, label: employment type} + - {column: J, row: 3986, expected_value: Value, label: measure} + - {column: L, row: 3987, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3988 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3988, expected_value: E12000002, label: geography} + - {column: D, row: 3988, expected_value: Males, label: sex} + - {column: E, row: 3988, expected_value: Total, label: employment type} + - {column: J, row: 3988, expected_value: Value, label: measure} + - {column: L, row: 3989, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3990 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3990, expected_value: E12000002, label: geography} + - {column: D, row: 3990, expected_value: Males, label: sex} + - {column: E, row: 3990, expected_value: Total, label: employment type} + - {column: J, row: 3990, expected_value: Value, label: measure} + - {column: L, row: 3991, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3992 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3992, expected_value: E12000002, label: geography} + - {column: D, row: 3992, expected_value: Males, label: sex} + - {column: E, row: 3992, expected_value: Total, label: employment type} + - {column: J, row: 3992, expected_value: Value, label: measure} + - {column: L, row: 3993, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3994 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3994, expected_value: E12000002, label: geography} + - {column: D, row: 3994, expected_value: Males, label: sex} + - {column: E, row: 3994, expected_value: Total, label: employment type} + - {column: J, row: 3994, expected_value: Value, label: measure} + - {column: L, row: 3995, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3996 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3996, expected_value: E12000002, label: geography} + - {column: D, row: 3996, expected_value: Males, label: sex} + - {column: E, row: 3996, expected_value: Total, label: employment type} + - {column: J, row: 3996, expected_value: Value, label: measure} + - {column: L, row: 3997, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3998 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3998, expected_value: E12000002, label: geography} + - {column: D, row: 3998, expected_value: Males, label: sex} + - {column: E, row: 3998, expected_value: Total, label: employment type} + - {column: J, row: 3998, expected_value: Value, label: measure} + - {column: L, row: 3999, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4000 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4000, expected_value: E12000002, label: geography} + - {column: D, row: 4000, expected_value: Males, label: sex} + - {column: E, row: 4000, expected_value: Total, label: employment type} + - {column: J, row: 4000, expected_value: Value, label: measure} + - {column: L, row: 4001, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4002 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4002, expected_value: E12000002, label: geography} + - {column: D, row: 4002, expected_value: Males, label: sex} + - {column: E, row: 4002, expected_value: Total, label: employment type} + - {column: J, row: 4002, expected_value: Value, label: measure} + - {column: L, row: 4003, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4004 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4004, expected_value: E12000002, label: geography} + - {column: D, row: 4004, expected_value: Males, label: sex} + - {column: E, row: 4004, expected_value: Total, label: employment type} + - {column: J, row: 4004, expected_value: Value, label: measure} + - {column: L, row: 4005, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4006 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4006, expected_value: E12000002, label: geography} + - {column: D, row: 4006, expected_value: Males, label: sex} + - {column: E, row: 4006, expected_value: Total, label: employment type} + - {column: J, row: 4006, expected_value: Value, label: measure} + - {column: L, row: 4007, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4008 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4008, expected_value: E12000002, label: geography} + - {column: D, row: 4008, expected_value: Males, label: sex} + - {column: E, row: 4008, expected_value: Total, label: employment type} + - {column: J, row: 4008, expected_value: Value, label: measure} + - {column: L, row: 4009, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4010 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4010, expected_value: E12000002, label: geography} + - {column: D, row: 4010, expected_value: Males, label: sex} + - {column: E, row: 4010, expected_value: Total, label: employment type} + - {column: J, row: 4010, expected_value: Value, label: measure} + - {column: L, row: 4011, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4012 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4012, expected_value: E12000002, label: geography} + - {column: D, row: 4012, expected_value: Males, label: sex} + - {column: E, row: 4012, expected_value: Total, label: employment type} + - {column: J, row: 4012, expected_value: Value, label: measure} + - {column: L, row: 4013, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4014 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4014, expected_value: E12000002, label: geography} + - {column: D, row: 4014, expected_value: Males, label: sex} + - {column: E, row: 4014, expected_value: Total, label: employment type} + - {column: J, row: 4014, expected_value: Value, label: measure} + - {column: L, row: 4015, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4016 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4016, expected_value: E12000002, label: geography} + - {column: D, row: 4016, expected_value: Males, label: sex} + - {column: E, row: 4016, expected_value: Total, label: employment type} + - {column: J, row: 4016, expected_value: Value, label: measure} + - {column: L, row: 4017, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4018 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4018, expected_value: E12000002, label: geography} + - {column: D, row: 4018, expected_value: Males, label: sex} + - {column: E, row: 4018, expected_value: Total, label: employment type} + - {column: J, row: 4018, expected_value: Value, label: measure} + - {column: L, row: 4019, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4020 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4020, expected_value: E12000002, label: geography} + - {column: D, row: 4020, expected_value: Males, label: sex} + - {column: E, row: 4020, expected_value: Total, label: employment type} + - {column: J, row: 4020, expected_value: Value, label: measure} + - {column: L, row: 4021, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4022 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4022, expected_value: E12000002, label: geography} + - {column: D, row: 4022, expected_value: Males, label: sex} + - {column: E, row: 4022, expected_value: Total, label: employment type} + - {column: J, row: 4022, expected_value: Value, label: measure} + - {column: L, row: 4023, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4024 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4024, expected_value: E12000002, label: geography} + - {column: D, row: 4024, expected_value: Males, label: sex} + - {column: E, row: 4024, expected_value: Total, label: employment type} + - {column: J, row: 4024, expected_value: Value, label: measure} + - {column: L, row: 4025, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4026 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4026, expected_value: E12000002, label: geography} + - {column: D, row: 4026, expected_value: Males, label: sex} + - {column: E, row: 4026, expected_value: Total, label: employment type} + - {column: J, row: 4026, expected_value: Value, label: measure} + - {column: L, row: 4027, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4028 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4028, expected_value: E12000002, label: geography} + - {column: D, row: 4028, expected_value: Males, label: sex} + - {column: E, row: 4028, expected_value: Total, label: employment type} + - {column: J, row: 4028, expected_value: Value, label: measure} + - {column: L, row: 4029, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4030 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4030, expected_value: E12000002, label: geography} + - {column: D, row: 4030, expected_value: Males, label: sex} + - {column: E, row: 4030, expected_value: Total, label: employment type} + - {column: J, row: 4030, expected_value: Value, label: measure} + - {column: L, row: 4031, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4032 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4032, expected_value: E12000002, label: geography} + - {column: D, row: 4032, expected_value: Males, label: sex} + - {column: E, row: 4032, expected_value: Total, label: employment type} + - {column: J, row: 4032, expected_value: Value, label: measure} + - {column: L, row: 4033, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3963 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3963, expected_value: E12000002, label: geography} + - {column: D, row: 3963, expected_value: Males, label: sex} + - {column: E, row: 3963, expected_value: Total, label: employment type} + - {column: J, row: 3963, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3965 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3965, expected_value: E12000002, label: geography} + - {column: D, row: 3965, expected_value: Males, label: sex} + - {column: E, row: 3965, expected_value: Total, label: employment type} + - {column: J, row: 3965, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3967 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3967, expected_value: E12000002, label: geography} + - {column: D, row: 3967, expected_value: Males, label: sex} + - {column: E, row: 3967, expected_value: Total, label: employment type} + - {column: J, row: 3967, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3969 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3969, expected_value: E12000002, label: geography} + - {column: D, row: 3969, expected_value: Males, label: sex} + - {column: E, row: 3969, expected_value: Total, label: employment type} + - {column: J, row: 3969, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3971 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3971, expected_value: E12000002, label: geography} + - {column: D, row: 3971, expected_value: Males, label: sex} + - {column: E, row: 3971, expected_value: Total, label: employment type} + - {column: J, row: 3971, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3973 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3973, expected_value: E12000002, label: geography} + - {column: D, row: 3973, expected_value: Males, label: sex} + - {column: E, row: 3973, expected_value: Total, label: employment type} + - {column: J, row: 3973, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3975 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3975, expected_value: E12000002, label: geography} + - {column: D, row: 3975, expected_value: Males, label: sex} + - {column: E, row: 3975, expected_value: Total, label: employment type} + - {column: J, row: 3975, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3977 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3977, expected_value: E12000002, label: geography} + - {column: D, row: 3977, expected_value: Males, label: sex} + - {column: E, row: 3977, expected_value: Total, label: employment type} + - {column: J, row: 3977, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3979 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3979, expected_value: E12000002, label: geography} + - {column: D, row: 3979, expected_value: Males, label: sex} + - {column: E, row: 3979, expected_value: Total, label: employment type} + - {column: J, row: 3979, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3981 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3981, expected_value: E12000002, label: geography} + - {column: D, row: 3981, expected_value: Males, label: sex} + - {column: E, row: 3981, expected_value: Total, label: employment type} + - {column: J, row: 3981, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3983 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3983, expected_value: E12000002, label: geography} + - {column: D, row: 3983, expected_value: Males, label: sex} + - {column: E, row: 3983, expected_value: Total, label: employment type} + - {column: J, row: 3983, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3985 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3985, expected_value: E12000002, label: geography} + - {column: D, row: 3985, expected_value: Males, label: sex} + - {column: E, row: 3985, expected_value: Total, label: employment type} + - {column: J, row: 3985, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3987 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3987, expected_value: E12000002, label: geography} + - {column: D, row: 3987, expected_value: Males, label: sex} + - {column: E, row: 3987, expected_value: Total, label: employment type} + - {column: J, row: 3987, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3989 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3989, expected_value: E12000002, label: geography} + - {column: D, row: 3989, expected_value: Males, label: sex} + - {column: E, row: 3989, expected_value: Total, label: employment type} + - {column: J, row: 3989, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3991 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3991, expected_value: E12000002, label: geography} + - {column: D, row: 3991, expected_value: Males, label: sex} + - {column: E, row: 3991, expected_value: Total, label: employment type} + - {column: J, row: 3991, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3993 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3993, expected_value: E12000002, label: geography} + - {column: D, row: 3993, expected_value: Males, label: sex} + - {column: E, row: 3993, expected_value: Total, label: employment type} + - {column: J, row: 3993, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3995 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3995, expected_value: E12000002, label: geography} + - {column: D, row: 3995, expected_value: Males, label: sex} + - {column: E, row: 3995, expected_value: Total, label: employment type} + - {column: J, row: 3995, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3997 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3997, expected_value: E12000002, label: geography} + - {column: D, row: 3997, expected_value: Males, label: sex} + - {column: E, row: 3997, expected_value: Total, label: employment type} + - {column: J, row: 3997, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3999 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3999, expected_value: E12000002, label: geography} + - {column: D, row: 3999, expected_value: Males, label: sex} + - {column: E, row: 3999, expected_value: Total, label: employment type} + - {column: J, row: 3999, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4001 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4001, expected_value: E12000002, label: geography} + - {column: D, row: 4001, expected_value: Males, label: sex} + - {column: E, row: 4001, expected_value: Total, label: employment type} + - {column: J, row: 4001, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4003 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4003, expected_value: E12000002, label: geography} + - {column: D, row: 4003, expected_value: Males, label: sex} + - {column: E, row: 4003, expected_value: Total, label: employment type} + - {column: J, row: 4003, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4005 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4005, expected_value: E12000002, label: geography} + - {column: D, row: 4005, expected_value: Males, label: sex} + - {column: E, row: 4005, expected_value: Total, label: employment type} + - {column: J, row: 4005, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4007 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4007, expected_value: E12000002, label: geography} + - {column: D, row: 4007, expected_value: Males, label: sex} + - {column: E, row: 4007, expected_value: Total, label: employment type} + - {column: J, row: 4007, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4009 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4009, expected_value: E12000002, label: geography} + - {column: D, row: 4009, expected_value: Males, label: sex} + - {column: E, row: 4009, expected_value: Total, label: employment type} + - {column: J, row: 4009, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4011 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4011, expected_value: E12000002, label: geography} + - {column: D, row: 4011, expected_value: Males, label: sex} + - {column: E, row: 4011, expected_value: Total, label: employment type} + - {column: J, row: 4011, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4013 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4013, expected_value: E12000002, label: geography} + - {column: D, row: 4013, expected_value: Males, label: sex} + - {column: E, row: 4013, expected_value: Total, label: employment type} + - {column: J, row: 4013, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4017 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4017, expected_value: E12000002, label: geography} + - {column: D, row: 4017, expected_value: Males, label: sex} + - {column: E, row: 4017, expected_value: Total, label: employment type} + - {column: J, row: 4017, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4019 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4019, expected_value: E12000002, label: geography} + - {column: D, row: 4019, expected_value: Males, label: sex} + - {column: E, row: 4019, expected_value: Total, label: employment type} + - {column: J, row: 4019, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4021 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4021, expected_value: E12000002, label: geography} + - {column: D, row: 4021, expected_value: Males, label: sex} + - {column: E, row: 4021, expected_value: Total, label: employment type} + - {column: J, row: 4021, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4023 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4023, expected_value: E12000002, label: geography} + - {column: D, row: 4023, expected_value: Males, label: sex} + - {column: E, row: 4023, expected_value: Total, label: employment type} + - {column: J, row: 4023, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4025 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4025, expected_value: E12000002, label: geography} + - {column: D, row: 4025, expected_value: Males, label: sex} + - {column: E, row: 4025, expected_value: Total, label: employment type} + - {column: J, row: 4025, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4027 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4027, expected_value: E12000002, label: geography} + - {column: D, row: 4027, expected_value: Males, label: sex} + - {column: E, row: 4027, expected_value: Total, label: employment type} + - {column: J, row: 4027, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4029 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4029, expected_value: E12000002, label: geography} + - {column: D, row: 4029, expected_value: Males, label: sex} + - {column: E, row: 4029, expected_value: Total, label: employment type} + - {column: J, row: 4029, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4031 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4031, expected_value: E12000002, label: geography} + - {column: D, row: 4031, expected_value: Males, label: sex} + - {column: E, row: 4031, expected_value: Total, label: employment type} + - {column: J, row: 4031, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4033 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4033, expected_value: E12000002, label: geography} + - {column: D, row: 4033, expected_value: Males, label: sex} + - {column: E, row: 4033, expected_value: Total, label: employment type} + - {column: J, row: 4033, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4178 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4178, expected_value: E12000002, label: geography} + - {column: D, row: 4178, expected_value: Males, label: sex} + - {column: E, row: 4178, expected_value: Employee, label: employment type} + - {column: J, row: 4178, expected_value: Value, label: measure} + - {column: L, row: 4179, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4180 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4180, expected_value: E12000002, label: geography} + - {column: D, row: 4180, expected_value: Males, label: sex} + - {column: E, row: 4180, expected_value: Employee, label: employment type} + - {column: J, row: 4180, expected_value: Value, label: measure} + - {column: L, row: 4181, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4182 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4182, expected_value: E12000002, label: geography} + - {column: D, row: 4182, expected_value: Males, label: sex} + - {column: E, row: 4182, expected_value: Employee, label: employment type} + - {column: J, row: 4182, expected_value: Value, label: measure} + - {column: L, row: 4183, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4184 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4184, expected_value: E12000002, label: geography} + - {column: D, row: 4184, expected_value: Males, label: sex} + - {column: E, row: 4184, expected_value: Employee, label: employment type} + - {column: J, row: 4184, expected_value: Value, label: measure} + - {column: L, row: 4185, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4186 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4186, expected_value: E12000002, label: geography} + - {column: D, row: 4186, expected_value: Males, label: sex} + - {column: E, row: 4186, expected_value: Employee, label: employment type} + - {column: J, row: 4186, expected_value: Value, label: measure} + - {column: L, row: 4187, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4188 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4188, expected_value: E12000002, label: geography} + - {column: D, row: 4188, expected_value: Males, label: sex} + - {column: E, row: 4188, expected_value: Employee, label: employment type} + - {column: J, row: 4188, expected_value: Value, label: measure} + - {column: L, row: 4189, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4190 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4190, expected_value: E12000002, label: geography} + - {column: D, row: 4190, expected_value: Males, label: sex} + - {column: E, row: 4190, expected_value: Employee, label: employment type} + - {column: J, row: 4190, expected_value: Value, label: measure} + - {column: L, row: 4191, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4192 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4192, expected_value: E12000002, label: geography} + - {column: D, row: 4192, expected_value: Males, label: sex} + - {column: E, row: 4192, expected_value: Employee, label: employment type} + - {column: J, row: 4192, expected_value: Value, label: measure} + - {column: L, row: 4193, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4194 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4194, expected_value: E12000002, label: geography} + - {column: D, row: 4194, expected_value: Males, label: sex} + - {column: E, row: 4194, expected_value: Employee, label: employment type} + - {column: J, row: 4194, expected_value: Value, label: measure} + - {column: L, row: 4195, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4196 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4196, expected_value: E12000002, label: geography} + - {column: D, row: 4196, expected_value: Males, label: sex} + - {column: E, row: 4196, expected_value: Employee, label: employment type} + - {column: J, row: 4196, expected_value: Value, label: measure} + - {column: L, row: 4197, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4198 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4198, expected_value: E12000002, label: geography} + - {column: D, row: 4198, expected_value: Males, label: sex} + - {column: E, row: 4198, expected_value: Employee, label: employment type} + - {column: J, row: 4198, expected_value: Value, label: measure} + - {column: L, row: 4199, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4200 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4200, expected_value: E12000002, label: geography} + - {column: D, row: 4200, expected_value: Males, label: sex} + - {column: E, row: 4200, expected_value: Employee, label: employment type} + - {column: J, row: 4200, expected_value: Value, label: measure} + - {column: L, row: 4201, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4202 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4202, expected_value: E12000002, label: geography} + - {column: D, row: 4202, expected_value: Males, label: sex} + - {column: E, row: 4202, expected_value: Employee, label: employment type} + - {column: J, row: 4202, expected_value: Value, label: measure} + - {column: L, row: 4203, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4204 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4204, expected_value: E12000002, label: geography} + - {column: D, row: 4204, expected_value: Males, label: sex} + - {column: E, row: 4204, expected_value: Employee, label: employment type} + - {column: J, row: 4204, expected_value: Value, label: measure} + - {column: L, row: 4205, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4206 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4206, expected_value: E12000002, label: geography} + - {column: D, row: 4206, expected_value: Males, label: sex} + - {column: E, row: 4206, expected_value: Employee, label: employment type} + - {column: J, row: 4206, expected_value: Value, label: measure} + - {column: L, row: 4207, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4208 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4208, expected_value: E12000002, label: geography} + - {column: D, row: 4208, expected_value: Males, label: sex} + - {column: E, row: 4208, expected_value: Employee, label: employment type} + - {column: J, row: 4208, expected_value: Value, label: measure} + - {column: L, row: 4209, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4210 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4210, expected_value: E12000002, label: geography} + - {column: D, row: 4210, expected_value: Males, label: sex} + - {column: E, row: 4210, expected_value: Employee, label: employment type} + - {column: J, row: 4210, expected_value: Value, label: measure} + - {column: L, row: 4211, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4212 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4212, expected_value: E12000002, label: geography} + - {column: D, row: 4212, expected_value: Males, label: sex} + - {column: E, row: 4212, expected_value: Employee, label: employment type} + - {column: J, row: 4212, expected_value: Value, label: measure} + - {column: L, row: 4213, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4214 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4214, expected_value: E12000002, label: geography} + - {column: D, row: 4214, expected_value: Males, label: sex} + - {column: E, row: 4214, expected_value: Employee, label: employment type} + - {column: J, row: 4214, expected_value: Value, label: measure} + - {column: L, row: 4215, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4216 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4216, expected_value: E12000002, label: geography} + - {column: D, row: 4216, expected_value: Males, label: sex} + - {column: E, row: 4216, expected_value: Employee, label: employment type} + - {column: J, row: 4216, expected_value: Value, label: measure} + - {column: L, row: 4217, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4218 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4218, expected_value: E12000002, label: geography} + - {column: D, row: 4218, expected_value: Males, label: sex} + - {column: E, row: 4218, expected_value: Employee, label: employment type} + - {column: J, row: 4218, expected_value: Value, label: measure} + - {column: L, row: 4219, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4220 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4220, expected_value: E12000002, label: geography} + - {column: D, row: 4220, expected_value: Males, label: sex} + - {column: E, row: 4220, expected_value: Employee, label: employment type} + - {column: J, row: 4220, expected_value: Value, label: measure} + - {column: L, row: 4221, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4222 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4222, expected_value: E12000002, label: geography} + - {column: D, row: 4222, expected_value: Males, label: sex} + - {column: E, row: 4222, expected_value: Employee, label: employment type} + - {column: J, row: 4222, expected_value: Value, label: measure} + - {column: L, row: 4223, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4224 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4224, expected_value: E12000002, label: geography} + - {column: D, row: 4224, expected_value: Males, label: sex} + - {column: E, row: 4224, expected_value: Employee, label: employment type} + - {column: J, row: 4224, expected_value: Value, label: measure} + - {column: L, row: 4225, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4226 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4226, expected_value: E12000002, label: geography} + - {column: D, row: 4226, expected_value: Males, label: sex} + - {column: E, row: 4226, expected_value: Employee, label: employment type} + - {column: J, row: 4226, expected_value: Value, label: measure} + - {column: L, row: 4227, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4228 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4228, expected_value: E12000002, label: geography} + - {column: D, row: 4228, expected_value: Males, label: sex} + - {column: E, row: 4228, expected_value: Employee, label: employment type} + - {column: J, row: 4228, expected_value: Value, label: measure} + - {column: L, row: 4229, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4230 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4230, expected_value: E12000002, label: geography} + - {column: D, row: 4230, expected_value: Males, label: sex} + - {column: E, row: 4230, expected_value: Employee, label: employment type} + - {column: J, row: 4230, expected_value: Value, label: measure} + - {column: L, row: 4231, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4232 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4232, expected_value: E12000002, label: geography} + - {column: D, row: 4232, expected_value: Males, label: sex} + - {column: E, row: 4232, expected_value: Employee, label: employment type} + - {column: J, row: 4232, expected_value: Value, label: measure} + - {column: L, row: 4233, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4234 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4234, expected_value: E12000002, label: geography} + - {column: D, row: 4234, expected_value: Males, label: sex} + - {column: E, row: 4234, expected_value: Employee, label: employment type} + - {column: J, row: 4234, expected_value: Value, label: measure} + - {column: L, row: 4235, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4236 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4236, expected_value: E12000002, label: geography} + - {column: D, row: 4236, expected_value: Males, label: sex} + - {column: E, row: 4236, expected_value: Employee, label: employment type} + - {column: J, row: 4236, expected_value: Value, label: measure} + - {column: L, row: 4237, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4238 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4238, expected_value: E12000002, label: geography} + - {column: D, row: 4238, expected_value: Males, label: sex} + - {column: E, row: 4238, expected_value: Employee, label: employment type} + - {column: J, row: 4238, expected_value: Value, label: measure} + - {column: L, row: 4239, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4240 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4240, expected_value: E12000002, label: geography} + - {column: D, row: 4240, expected_value: Males, label: sex} + - {column: E, row: 4240, expected_value: Employee, label: employment type} + - {column: J, row: 4240, expected_value: Value, label: measure} + - {column: L, row: 4241, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4242 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4242, expected_value: E12000002, label: geography} + - {column: D, row: 4242, expected_value: Males, label: sex} + - {column: E, row: 4242, expected_value: Employee, label: employment type} + - {column: J, row: 4242, expected_value: Value, label: measure} + - {column: L, row: 4243, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4244 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4244, expected_value: E12000002, label: geography} + - {column: D, row: 4244, expected_value: Males, label: sex} + - {column: E, row: 4244, expected_value: Employee, label: employment type} + - {column: J, row: 4244, expected_value: Value, label: measure} + - {column: L, row: 4245, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4246 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4246, expected_value: E12000002, label: geography} + - {column: D, row: 4246, expected_value: Males, label: sex} + - {column: E, row: 4246, expected_value: Employee, label: employment type} + - {column: J, row: 4246, expected_value: Value, label: measure} + - {column: L, row: 4247, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4248 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4248, expected_value: E12000002, label: geography} + - {column: D, row: 4248, expected_value: Males, label: sex} + - {column: E, row: 4248, expected_value: Employee, label: employment type} + - {column: J, row: 4248, expected_value: Value, label: measure} + - {column: L, row: 4249, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4179 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4179, expected_value: E12000002, label: geography} + - {column: D, row: 4179, expected_value: Males, label: sex} + - {column: E, row: 4179, expected_value: Employee, label: employment type} + - {column: J, row: 4179, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4181 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4181, expected_value: E12000002, label: geography} + - {column: D, row: 4181, expected_value: Males, label: sex} + - {column: E, row: 4181, expected_value: Employee, label: employment type} + - {column: J, row: 4181, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4183 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4183, expected_value: E12000002, label: geography} + - {column: D, row: 4183, expected_value: Males, label: sex} + - {column: E, row: 4183, expected_value: Employee, label: employment type} + - {column: J, row: 4183, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4185 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4185, expected_value: E12000002, label: geography} + - {column: D, row: 4185, expected_value: Males, label: sex} + - {column: E, row: 4185, expected_value: Employee, label: employment type} + - {column: J, row: 4185, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4187 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4187, expected_value: E12000002, label: geography} + - {column: D, row: 4187, expected_value: Males, label: sex} + - {column: E, row: 4187, expected_value: Employee, label: employment type} + - {column: J, row: 4187, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4189 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4189, expected_value: E12000002, label: geography} + - {column: D, row: 4189, expected_value: Males, label: sex} + - {column: E, row: 4189, expected_value: Employee, label: employment type} + - {column: J, row: 4189, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4191 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4191, expected_value: E12000002, label: geography} + - {column: D, row: 4191, expected_value: Males, label: sex} + - {column: E, row: 4191, expected_value: Employee, label: employment type} + - {column: J, row: 4191, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4193 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4193, expected_value: E12000002, label: geography} + - {column: D, row: 4193, expected_value: Males, label: sex} + - {column: E, row: 4193, expected_value: Employee, label: employment type} + - {column: J, row: 4193, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4195 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4195, expected_value: E12000002, label: geography} + - {column: D, row: 4195, expected_value: Males, label: sex} + - {column: E, row: 4195, expected_value: Employee, label: employment type} + - {column: J, row: 4195, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4197 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4197, expected_value: E12000002, label: geography} + - {column: D, row: 4197, expected_value: Males, label: sex} + - {column: E, row: 4197, expected_value: Employee, label: employment type} + - {column: J, row: 4197, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4199 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4199, expected_value: E12000002, label: geography} + - {column: D, row: 4199, expected_value: Males, label: sex} + - {column: E, row: 4199, expected_value: Employee, label: employment type} + - {column: J, row: 4199, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4201 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4201, expected_value: E12000002, label: geography} + - {column: D, row: 4201, expected_value: Males, label: sex} + - {column: E, row: 4201, expected_value: Employee, label: employment type} + - {column: J, row: 4201, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4203 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4203, expected_value: E12000002, label: geography} + - {column: D, row: 4203, expected_value: Males, label: sex} + - {column: E, row: 4203, expected_value: Employee, label: employment type} + - {column: J, row: 4203, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4205 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4205, expected_value: E12000002, label: geography} + - {column: D, row: 4205, expected_value: Males, label: sex} + - {column: E, row: 4205, expected_value: Employee, label: employment type} + - {column: J, row: 4205, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4207 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4207, expected_value: E12000002, label: geography} + - {column: D, row: 4207, expected_value: Males, label: sex} + - {column: E, row: 4207, expected_value: Employee, label: employment type} + - {column: J, row: 4207, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4209 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4209, expected_value: E12000002, label: geography} + - {column: D, row: 4209, expected_value: Males, label: sex} + - {column: E, row: 4209, expected_value: Employee, label: employment type} + - {column: J, row: 4209, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4211 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4211, expected_value: E12000002, label: geography} + - {column: D, row: 4211, expected_value: Males, label: sex} + - {column: E, row: 4211, expected_value: Employee, label: employment type} + - {column: J, row: 4211, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4213 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4213, expected_value: E12000002, label: geography} + - {column: D, row: 4213, expected_value: Males, label: sex} + - {column: E, row: 4213, expected_value: Employee, label: employment type} + - {column: J, row: 4213, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4215 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4215, expected_value: E12000002, label: geography} + - {column: D, row: 4215, expected_value: Males, label: sex} + - {column: E, row: 4215, expected_value: Employee, label: employment type} + - {column: J, row: 4215, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4217 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4217, expected_value: E12000002, label: geography} + - {column: D, row: 4217, expected_value: Males, label: sex} + - {column: E, row: 4217, expected_value: Employee, label: employment type} + - {column: J, row: 4217, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4219 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4219, expected_value: E12000002, label: geography} + - {column: D, row: 4219, expected_value: Males, label: sex} + - {column: E, row: 4219, expected_value: Employee, label: employment type} + - {column: J, row: 4219, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4221 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4221, expected_value: E12000002, label: geography} + - {column: D, row: 4221, expected_value: Males, label: sex} + - {column: E, row: 4221, expected_value: Employee, label: employment type} + - {column: J, row: 4221, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4223 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4223, expected_value: E12000002, label: geography} + - {column: D, row: 4223, expected_value: Males, label: sex} + - {column: E, row: 4223, expected_value: Employee, label: employment type} + - {column: J, row: 4223, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4225 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4225, expected_value: E12000002, label: geography} + - {column: D, row: 4225, expected_value: Males, label: sex} + - {column: E, row: 4225, expected_value: Employee, label: employment type} + - {column: J, row: 4225, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4227 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4227, expected_value: E12000002, label: geography} + - {column: D, row: 4227, expected_value: Males, label: sex} + - {column: E, row: 4227, expected_value: Employee, label: employment type} + - {column: J, row: 4227, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4229 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4229, expected_value: E12000002, label: geography} + - {column: D, row: 4229, expected_value: Males, label: sex} + - {column: E, row: 4229, expected_value: Employee, label: employment type} + - {column: J, row: 4229, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4233 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4233, expected_value: E12000002, label: geography} + - {column: D, row: 4233, expected_value: Males, label: sex} + - {column: E, row: 4233, expected_value: Employee, label: employment type} + - {column: J, row: 4233, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4235 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4235, expected_value: E12000002, label: geography} + - {column: D, row: 4235, expected_value: Males, label: sex} + - {column: E, row: 4235, expected_value: Employee, label: employment type} + - {column: J, row: 4235, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4237 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4237, expected_value: E12000002, label: geography} + - {column: D, row: 4237, expected_value: Males, label: sex} + - {column: E, row: 4237, expected_value: Employee, label: employment type} + - {column: J, row: 4237, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4239 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4239, expected_value: E12000002, label: geography} + - {column: D, row: 4239, expected_value: Males, label: sex} + - {column: E, row: 4239, expected_value: Employee, label: employment type} + - {column: J, row: 4239, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4241 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4241, expected_value: E12000002, label: geography} + - {column: D, row: 4241, expected_value: Males, label: sex} + - {column: E, row: 4241, expected_value: Employee, label: employment type} + - {column: J, row: 4241, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4243 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4243, expected_value: E12000002, label: geography} + - {column: D, row: 4243, expected_value: Males, label: sex} + - {column: E, row: 4243, expected_value: Employee, label: employment type} + - {column: J, row: 4243, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4245 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4245, expected_value: E12000002, label: geography} + - {column: D, row: 4245, expected_value: Males, label: sex} + - {column: E, row: 4245, expected_value: Employee, label: employment type} + - {column: J, row: 4245, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4247 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4247, expected_value: E12000002, label: geography} + - {column: D, row: 4247, expected_value: Males, label: sex} + - {column: E, row: 4247, expected_value: Employee, label: employment type} + - {column: J, row: 4247, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4249 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4249, expected_value: E12000002, label: geography} + - {column: D, row: 4249, expected_value: Males, label: sex} + - {column: E, row: 4249, expected_value: Employee, label: employment type} + - {column: J, row: 4249, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4394 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4394, expected_value: E12000002, label: geography} + - {column: D, row: 4394, expected_value: Males, label: sex} + - {column: E, row: 4394, expected_value: Self-employed, label: employment type} + - {column: J, row: 4394, expected_value: Value, label: measure} + - {column: L, row: 4395, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4396 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4396, expected_value: E12000002, label: geography} + - {column: D, row: 4396, expected_value: Males, label: sex} + - {column: E, row: 4396, expected_value: Self-employed, label: employment type} + - {column: J, row: 4396, expected_value: Value, label: measure} + - {column: L, row: 4397, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4398 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4398, expected_value: E12000002, label: geography} + - {column: D, row: 4398, expected_value: Males, label: sex} + - {column: E, row: 4398, expected_value: Self-employed, label: employment type} + - {column: J, row: 4398, expected_value: Value, label: measure} + - {column: L, row: 4399, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4400 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4400, expected_value: E12000002, label: geography} + - {column: D, row: 4400, expected_value: Males, label: sex} + - {column: E, row: 4400, expected_value: Self-employed, label: employment type} + - {column: J, row: 4400, expected_value: Value, label: measure} + - {column: L, row: 4401, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4402 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4402, expected_value: E12000002, label: geography} + - {column: D, row: 4402, expected_value: Males, label: sex} + - {column: E, row: 4402, expected_value: Self-employed, label: employment type} + - {column: J, row: 4402, expected_value: Value, label: measure} + - {column: L, row: 4403, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4404 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4404, expected_value: E12000002, label: geography} + - {column: D, row: 4404, expected_value: Males, label: sex} + - {column: E, row: 4404, expected_value: Self-employed, label: employment type} + - {column: J, row: 4404, expected_value: Value, label: measure} + - {column: L, row: 4405, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4406 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4406, expected_value: E12000002, label: geography} + - {column: D, row: 4406, expected_value: Males, label: sex} + - {column: E, row: 4406, expected_value: Self-employed, label: employment type} + - {column: J, row: 4406, expected_value: Value, label: measure} + - {column: L, row: 4407, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4408 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4408, expected_value: E12000002, label: geography} + - {column: D, row: 4408, expected_value: Males, label: sex} + - {column: E, row: 4408, expected_value: Self-employed, label: employment type} + - {column: J, row: 4408, expected_value: Value, label: measure} + - {column: L, row: 4409, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4410 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4410, expected_value: E12000002, label: geography} + - {column: D, row: 4410, expected_value: Males, label: sex} + - {column: E, row: 4410, expected_value: Self-employed, label: employment type} + - {column: J, row: 4410, expected_value: Value, label: measure} + - {column: L, row: 4411, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4412 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4412, expected_value: E12000002, label: geography} + - {column: D, row: 4412, expected_value: Males, label: sex} + - {column: E, row: 4412, expected_value: Self-employed, label: employment type} + - {column: J, row: 4412, expected_value: Value, label: measure} + - {column: L, row: 4413, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4414 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4414, expected_value: E12000002, label: geography} + - {column: D, row: 4414, expected_value: Males, label: sex} + - {column: E, row: 4414, expected_value: Self-employed, label: employment type} + - {column: J, row: 4414, expected_value: Value, label: measure} + - {column: L, row: 4415, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4416 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4416, expected_value: E12000002, label: geography} + - {column: D, row: 4416, expected_value: Males, label: sex} + - {column: E, row: 4416, expected_value: Self-employed, label: employment type} + - {column: J, row: 4416, expected_value: Value, label: measure} + - {column: L, row: 4417, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4418 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4418, expected_value: E12000002, label: geography} + - {column: D, row: 4418, expected_value: Males, label: sex} + - {column: E, row: 4418, expected_value: Self-employed, label: employment type} + - {column: J, row: 4418, expected_value: Value, label: measure} + - {column: L, row: 4419, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4420 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4420, expected_value: E12000002, label: geography} + - {column: D, row: 4420, expected_value: Males, label: sex} + - {column: E, row: 4420, expected_value: Self-employed, label: employment type} + - {column: J, row: 4420, expected_value: Value, label: measure} + - {column: L, row: 4421, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4422 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4422, expected_value: E12000002, label: geography} + - {column: D, row: 4422, expected_value: Males, label: sex} + - {column: E, row: 4422, expected_value: Self-employed, label: employment type} + - {column: J, row: 4422, expected_value: Value, label: measure} + - {column: L, row: 4423, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4424 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4424, expected_value: E12000002, label: geography} + - {column: D, row: 4424, expected_value: Males, label: sex} + - {column: E, row: 4424, expected_value: Self-employed, label: employment type} + - {column: J, row: 4424, expected_value: Value, label: measure} + - {column: L, row: 4425, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4426 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4426, expected_value: E12000002, label: geography} + - {column: D, row: 4426, expected_value: Males, label: sex} + - {column: E, row: 4426, expected_value: Self-employed, label: employment type} + - {column: J, row: 4426, expected_value: Value, label: measure} + - {column: L, row: 4427, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4430 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4430, expected_value: E12000002, label: geography} + - {column: D, row: 4430, expected_value: Males, label: sex} + - {column: E, row: 4430, expected_value: Self-employed, label: employment type} + - {column: J, row: 4430, expected_value: Value, label: measure} + - {column: L, row: 4431, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4432 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4432, expected_value: E12000002, label: geography} + - {column: D, row: 4432, expected_value: Males, label: sex} + - {column: E, row: 4432, expected_value: Self-employed, label: employment type} + - {column: J, row: 4432, expected_value: Value, label: measure} + - {column: L, row: 4433, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4434 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4434, expected_value: E12000002, label: geography} + - {column: D, row: 4434, expected_value: Males, label: sex} + - {column: E, row: 4434, expected_value: Self-employed, label: employment type} + - {column: J, row: 4434, expected_value: Value, label: measure} + - {column: L, row: 4435, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4436 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4436, expected_value: E12000002, label: geography} + - {column: D, row: 4436, expected_value: Males, label: sex} + - {column: E, row: 4436, expected_value: Self-employed, label: employment type} + - {column: J, row: 4436, expected_value: Value, label: measure} + - {column: L, row: 4437, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4438 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4438, expected_value: E12000002, label: geography} + - {column: D, row: 4438, expected_value: Males, label: sex} + - {column: E, row: 4438, expected_value: Self-employed, label: employment type} + - {column: J, row: 4438, expected_value: Value, label: measure} + - {column: L, row: 4439, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4440 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4440, expected_value: E12000002, label: geography} + - {column: D, row: 4440, expected_value: Males, label: sex} + - {column: E, row: 4440, expected_value: Self-employed, label: employment type} + - {column: J, row: 4440, expected_value: Value, label: measure} + - {column: L, row: 4441, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4442 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4442, expected_value: E12000002, label: geography} + - {column: D, row: 4442, expected_value: Males, label: sex} + - {column: E, row: 4442, expected_value: Self-employed, label: employment type} + - {column: J, row: 4442, expected_value: Value, label: measure} + - {column: L, row: 4443, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4444 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4444, expected_value: E12000002, label: geography} + - {column: D, row: 4444, expected_value: Males, label: sex} + - {column: E, row: 4444, expected_value: Self-employed, label: employment type} + - {column: J, row: 4444, expected_value: Value, label: measure} + - {column: L, row: 4445, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4448 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4448, expected_value: E12000002, label: geography} + - {column: D, row: 4448, expected_value: Males, label: sex} + - {column: E, row: 4448, expected_value: Self-employed, label: employment type} + - {column: J, row: 4448, expected_value: Value, label: measure} + - {column: L, row: 4449, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4450 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4450, expected_value: E12000002, label: geography} + - {column: D, row: 4450, expected_value: Males, label: sex} + - {column: E, row: 4450, expected_value: Self-employed, label: employment type} + - {column: J, row: 4450, expected_value: Value, label: measure} + - {column: L, row: 4451, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4452 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4452, expected_value: E12000002, label: geography} + - {column: D, row: 4452, expected_value: Males, label: sex} + - {column: E, row: 4452, expected_value: Self-employed, label: employment type} + - {column: J, row: 4452, expected_value: Value, label: measure} + - {column: L, row: 4453, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4454 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4454, expected_value: E12000002, label: geography} + - {column: D, row: 4454, expected_value: Males, label: sex} + - {column: E, row: 4454, expected_value: Self-employed, label: employment type} + - {column: J, row: 4454, expected_value: Value, label: measure} + - {column: L, row: 4455, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4456 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4456, expected_value: E12000002, label: geography} + - {column: D, row: 4456, expected_value: Males, label: sex} + - {column: E, row: 4456, expected_value: Self-employed, label: employment type} + - {column: J, row: 4456, expected_value: Value, label: measure} + - {column: L, row: 4457, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4458 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4458, expected_value: E12000002, label: geography} + - {column: D, row: 4458, expected_value: Males, label: sex} + - {column: E, row: 4458, expected_value: Self-employed, label: employment type} + - {column: J, row: 4458, expected_value: Value, label: measure} + - {column: L, row: 4459, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4460 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4460, expected_value: E12000002, label: geography} + - {column: D, row: 4460, expected_value: Males, label: sex} + - {column: E, row: 4460, expected_value: Self-employed, label: employment type} + - {column: J, row: 4460, expected_value: Value, label: measure} + - {column: L, row: 4461, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4462 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4462, expected_value: E12000002, label: geography} + - {column: D, row: 4462, expected_value: Males, label: sex} + - {column: E, row: 4462, expected_value: Self-employed, label: employment type} + - {column: J, row: 4462, expected_value: Value, label: measure} + - {column: L, row: 4463, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4464 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4464, expected_value: E12000002, label: geography} + - {column: D, row: 4464, expected_value: Males, label: sex} + - {column: E, row: 4464, expected_value: Self-employed, label: employment type} + - {column: J, row: 4464, expected_value: Value, label: measure} + - {column: L, row: 4465, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4395 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4395, expected_value: E12000002, label: geography} + - {column: D, row: 4395, expected_value: Males, label: sex} + - {column: E, row: 4395, expected_value: Self-employed, label: employment type} + - {column: J, row: 4395, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4397 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4397, expected_value: E12000002, label: geography} + - {column: D, row: 4397, expected_value: Males, label: sex} + - {column: E, row: 4397, expected_value: Self-employed, label: employment type} + - {column: J, row: 4397, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4399 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4399, expected_value: E12000002, label: geography} + - {column: D, row: 4399, expected_value: Males, label: sex} + - {column: E, row: 4399, expected_value: Self-employed, label: employment type} + - {column: J, row: 4399, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4401 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4401, expected_value: E12000002, label: geography} + - {column: D, row: 4401, expected_value: Males, label: sex} + - {column: E, row: 4401, expected_value: Self-employed, label: employment type} + - {column: J, row: 4401, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4403 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4403, expected_value: E12000002, label: geography} + - {column: D, row: 4403, expected_value: Males, label: sex} + - {column: E, row: 4403, expected_value: Self-employed, label: employment type} + - {column: J, row: 4403, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4405 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4405, expected_value: E12000002, label: geography} + - {column: D, row: 4405, expected_value: Males, label: sex} + - {column: E, row: 4405, expected_value: Self-employed, label: employment type} + - {column: J, row: 4405, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4407 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4407, expected_value: E12000002, label: geography} + - {column: D, row: 4407, expected_value: Males, label: sex} + - {column: E, row: 4407, expected_value: Self-employed, label: employment type} + - {column: J, row: 4407, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4409 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4409, expected_value: E12000002, label: geography} + - {column: D, row: 4409, expected_value: Males, label: sex} + - {column: E, row: 4409, expected_value: Self-employed, label: employment type} + - {column: J, row: 4409, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4411 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4411, expected_value: E12000002, label: geography} + - {column: D, row: 4411, expected_value: Males, label: sex} + - {column: E, row: 4411, expected_value: Self-employed, label: employment type} + - {column: J, row: 4411, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4413 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4413, expected_value: E12000002, label: geography} + - {column: D, row: 4413, expected_value: Males, label: sex} + - {column: E, row: 4413, expected_value: Self-employed, label: employment type} + - {column: J, row: 4413, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4421 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4421, expected_value: E12000002, label: geography} + - {column: D, row: 4421, expected_value: Males, label: sex} + - {column: E, row: 4421, expected_value: Self-employed, label: employment type} + - {column: J, row: 4421, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4423 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4423, expected_value: E12000002, label: geography} + - {column: D, row: 4423, expected_value: Males, label: sex} + - {column: E, row: 4423, expected_value: Self-employed, label: employment type} + - {column: J, row: 4423, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4425 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4425, expected_value: E12000002, label: geography} + - {column: D, row: 4425, expected_value: Males, label: sex} + - {column: E, row: 4425, expected_value: Self-employed, label: employment type} + - {column: J, row: 4425, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4427 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4427, expected_value: E12000002, label: geography} + - {column: D, row: 4427, expected_value: Males, label: sex} + - {column: E, row: 4427, expected_value: Self-employed, label: employment type} + - {column: J, row: 4427, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4431 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4431, expected_value: E12000002, label: geography} + - {column: D, row: 4431, expected_value: Males, label: sex} + - {column: E, row: 4431, expected_value: Self-employed, label: employment type} + - {column: J, row: 4431, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4433 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4433, expected_value: E12000002, label: geography} + - {column: D, row: 4433, expected_value: Males, label: sex} + - {column: E, row: 4433, expected_value: Self-employed, label: employment type} + - {column: J, row: 4433, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4435 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4435, expected_value: E12000002, label: geography} + - {column: D, row: 4435, expected_value: Males, label: sex} + - {column: E, row: 4435, expected_value: Self-employed, label: employment type} + - {column: J, row: 4435, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4437 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4437, expected_value: E12000002, label: geography} + - {column: D, row: 4437, expected_value: Males, label: sex} + - {column: E, row: 4437, expected_value: Self-employed, label: employment type} + - {column: J, row: 4437, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4439 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4439, expected_value: E12000002, label: geography} + - {column: D, row: 4439, expected_value: Males, label: sex} + - {column: E, row: 4439, expected_value: Self-employed, label: employment type} + - {column: J, row: 4439, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4441 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4441, expected_value: E12000002, label: geography} + - {column: D, row: 4441, expected_value: Males, label: sex} + - {column: E, row: 4441, expected_value: Self-employed, label: employment type} + - {column: J, row: 4441, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4443 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4443, expected_value: E12000002, label: geography} + - {column: D, row: 4443, expected_value: Males, label: sex} + - {column: E, row: 4443, expected_value: Self-employed, label: employment type} + - {column: J, row: 4443, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4449 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4449, expected_value: E12000002, label: geography} + - {column: D, row: 4449, expected_value: Males, label: sex} + - {column: E, row: 4449, expected_value: Self-employed, label: employment type} + - {column: J, row: 4449, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4451 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4451, expected_value: E12000002, label: geography} + - {column: D, row: 4451, expected_value: Males, label: sex} + - {column: E, row: 4451, expected_value: Self-employed, label: employment type} + - {column: J, row: 4451, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4455 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4455, expected_value: E12000002, label: geography} + - {column: D, row: 4455, expected_value: Males, label: sex} + - {column: E, row: 4455, expected_value: Self-employed, label: employment type} + - {column: J, row: 4455, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4457 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4457, expected_value: E12000002, label: geography} + - {column: D, row: 4457, expected_value: Males, label: sex} + - {column: E, row: 4457, expected_value: Self-employed, label: employment type} + - {column: J, row: 4457, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4459 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4459, expected_value: E12000002, label: geography} + - {column: D, row: 4459, expected_value: Males, label: sex} + - {column: E, row: 4459, expected_value: Self-employed, label: employment type} + - {column: J, row: 4459, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4461 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4461, expected_value: E12000002, label: geography} + - {column: D, row: 4461, expected_value: Males, label: sex} + - {column: E, row: 4461, expected_value: Self-employed, label: employment type} + - {column: J, row: 4461, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4463 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4463, expected_value: E12000002, label: geography} + - {column: D, row: 4463, expected_value: Males, label: sex} + - {column: E, row: 4463, expected_value: Self-employed, label: employment type} + - {column: J, row: 4463, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4465 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4465, expected_value: E12000002, label: geography} + - {column: D, row: 4465, expected_value: Males, label: sex} + - {column: E, row: 4465, expected_value: Self-employed, label: employment type} + - {column: J, row: 4465, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4034 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4034, expected_value: E12000002, label: geography} + - {column: D, row: 4034, expected_value: Females, label: sex} + - {column: E, row: 4034, expected_value: Total, label: employment type} + - {column: J, row: 4034, expected_value: Value, label: measure} + - {column: L, row: 4035, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4036 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4036, expected_value: E12000002, label: geography} + - {column: D, row: 4036, expected_value: Females, label: sex} + - {column: E, row: 4036, expected_value: Total, label: employment type} + - {column: J, row: 4036, expected_value: Value, label: measure} + - {column: L, row: 4037, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4038 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4038, expected_value: E12000002, label: geography} + - {column: D, row: 4038, expected_value: Females, label: sex} + - {column: E, row: 4038, expected_value: Total, label: employment type} + - {column: J, row: 4038, expected_value: Value, label: measure} + - {column: L, row: 4039, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4040 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4040, expected_value: E12000002, label: geography} + - {column: D, row: 4040, expected_value: Females, label: sex} + - {column: E, row: 4040, expected_value: Total, label: employment type} + - {column: J, row: 4040, expected_value: Value, label: measure} + - {column: L, row: 4041, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4042 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4042, expected_value: E12000002, label: geography} + - {column: D, row: 4042, expected_value: Females, label: sex} + - {column: E, row: 4042, expected_value: Total, label: employment type} + - {column: J, row: 4042, expected_value: Value, label: measure} + - {column: L, row: 4043, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4044 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4044, expected_value: E12000002, label: geography} + - {column: D, row: 4044, expected_value: Females, label: sex} + - {column: E, row: 4044, expected_value: Total, label: employment type} + - {column: J, row: 4044, expected_value: Value, label: measure} + - {column: L, row: 4045, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4046 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4046, expected_value: E12000002, label: geography} + - {column: D, row: 4046, expected_value: Females, label: sex} + - {column: E, row: 4046, expected_value: Total, label: employment type} + - {column: J, row: 4046, expected_value: Value, label: measure} + - {column: L, row: 4047, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4048 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4048, expected_value: E12000002, label: geography} + - {column: D, row: 4048, expected_value: Females, label: sex} + - {column: E, row: 4048, expected_value: Total, label: employment type} + - {column: J, row: 4048, expected_value: Value, label: measure} + - {column: L, row: 4049, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4050 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4050, expected_value: E12000002, label: geography} + - {column: D, row: 4050, expected_value: Females, label: sex} + - {column: E, row: 4050, expected_value: Total, label: employment type} + - {column: J, row: 4050, expected_value: Value, label: measure} + - {column: L, row: 4051, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4052 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4052, expected_value: E12000002, label: geography} + - {column: D, row: 4052, expected_value: Females, label: sex} + - {column: E, row: 4052, expected_value: Total, label: employment type} + - {column: J, row: 4052, expected_value: Value, label: measure} + - {column: L, row: 4053, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4054 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4054, expected_value: E12000002, label: geography} + - {column: D, row: 4054, expected_value: Females, label: sex} + - {column: E, row: 4054, expected_value: Total, label: employment type} + - {column: J, row: 4054, expected_value: Value, label: measure} + - {column: L, row: 4055, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4056 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4056, expected_value: E12000002, label: geography} + - {column: D, row: 4056, expected_value: Females, label: sex} + - {column: E, row: 4056, expected_value: Total, label: employment type} + - {column: J, row: 4056, expected_value: Value, label: measure} + - {column: L, row: 4057, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4058 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4058, expected_value: E12000002, label: geography} + - {column: D, row: 4058, expected_value: Females, label: sex} + - {column: E, row: 4058, expected_value: Total, label: employment type} + - {column: J, row: 4058, expected_value: Value, label: measure} + - {column: L, row: 4059, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4060 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4060, expected_value: E12000002, label: geography} + - {column: D, row: 4060, expected_value: Females, label: sex} + - {column: E, row: 4060, expected_value: Total, label: employment type} + - {column: J, row: 4060, expected_value: Value, label: measure} + - {column: L, row: 4061, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4062 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4062, expected_value: E12000002, label: geography} + - {column: D, row: 4062, expected_value: Females, label: sex} + - {column: E, row: 4062, expected_value: Total, label: employment type} + - {column: J, row: 4062, expected_value: Value, label: measure} + - {column: L, row: 4063, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4064 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4064, expected_value: E12000002, label: geography} + - {column: D, row: 4064, expected_value: Females, label: sex} + - {column: E, row: 4064, expected_value: Total, label: employment type} + - {column: J, row: 4064, expected_value: Value, label: measure} + - {column: L, row: 4065, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4066 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4066, expected_value: E12000002, label: geography} + - {column: D, row: 4066, expected_value: Females, label: sex} + - {column: E, row: 4066, expected_value: Total, label: employment type} + - {column: J, row: 4066, expected_value: Value, label: measure} + - {column: L, row: 4067, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4068 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4068, expected_value: E12000002, label: geography} + - {column: D, row: 4068, expected_value: Females, label: sex} + - {column: E, row: 4068, expected_value: Total, label: employment type} + - {column: J, row: 4068, expected_value: Value, label: measure} + - {column: L, row: 4069, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4070 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4070, expected_value: E12000002, label: geography} + - {column: D, row: 4070, expected_value: Females, label: sex} + - {column: E, row: 4070, expected_value: Total, label: employment type} + - {column: J, row: 4070, expected_value: Value, label: measure} + - {column: L, row: 4071, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4072 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4072, expected_value: E12000002, label: geography} + - {column: D, row: 4072, expected_value: Females, label: sex} + - {column: E, row: 4072, expected_value: Total, label: employment type} + - {column: J, row: 4072, expected_value: Value, label: measure} + - {column: L, row: 4073, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4074 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4074, expected_value: E12000002, label: geography} + - {column: D, row: 4074, expected_value: Females, label: sex} + - {column: E, row: 4074, expected_value: Total, label: employment type} + - {column: J, row: 4074, expected_value: Value, label: measure} + - {column: L, row: 4075, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4076 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4076, expected_value: E12000002, label: geography} + - {column: D, row: 4076, expected_value: Females, label: sex} + - {column: E, row: 4076, expected_value: Total, label: employment type} + - {column: J, row: 4076, expected_value: Value, label: measure} + - {column: L, row: 4077, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4078 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4078, expected_value: E12000002, label: geography} + - {column: D, row: 4078, expected_value: Females, label: sex} + - {column: E, row: 4078, expected_value: Total, label: employment type} + - {column: J, row: 4078, expected_value: Value, label: measure} + - {column: L, row: 4079, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4080 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4080, expected_value: E12000002, label: geography} + - {column: D, row: 4080, expected_value: Females, label: sex} + - {column: E, row: 4080, expected_value: Total, label: employment type} + - {column: J, row: 4080, expected_value: Value, label: measure} + - {column: L, row: 4081, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4082 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4082, expected_value: E12000002, label: geography} + - {column: D, row: 4082, expected_value: Females, label: sex} + - {column: E, row: 4082, expected_value: Total, label: employment type} + - {column: J, row: 4082, expected_value: Value, label: measure} + - {column: L, row: 4083, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4084 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4084, expected_value: E12000002, label: geography} + - {column: D, row: 4084, expected_value: Females, label: sex} + - {column: E, row: 4084, expected_value: Total, label: employment type} + - {column: J, row: 4084, expected_value: Value, label: measure} + - {column: L, row: 4085, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4088 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4088, expected_value: E12000002, label: geography} + - {column: D, row: 4088, expected_value: Females, label: sex} + - {column: E, row: 4088, expected_value: Total, label: employment type} + - {column: J, row: 4088, expected_value: Value, label: measure} + - {column: L, row: 4089, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4090 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4090, expected_value: E12000002, label: geography} + - {column: D, row: 4090, expected_value: Females, label: sex} + - {column: E, row: 4090, expected_value: Total, label: employment type} + - {column: J, row: 4090, expected_value: Value, label: measure} + - {column: L, row: 4091, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4092 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4092, expected_value: E12000002, label: geography} + - {column: D, row: 4092, expected_value: Females, label: sex} + - {column: E, row: 4092, expected_value: Total, label: employment type} + - {column: J, row: 4092, expected_value: Value, label: measure} + - {column: L, row: 4093, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4094 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4094, expected_value: E12000002, label: geography} + - {column: D, row: 4094, expected_value: Females, label: sex} + - {column: E, row: 4094, expected_value: Total, label: employment type} + - {column: J, row: 4094, expected_value: Value, label: measure} + - {column: L, row: 4095, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4096 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4096, expected_value: E12000002, label: geography} + - {column: D, row: 4096, expected_value: Females, label: sex} + - {column: E, row: 4096, expected_value: Total, label: employment type} + - {column: J, row: 4096, expected_value: Value, label: measure} + - {column: L, row: 4097, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4098 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4098, expected_value: E12000002, label: geography} + - {column: D, row: 4098, expected_value: Females, label: sex} + - {column: E, row: 4098, expected_value: Total, label: employment type} + - {column: J, row: 4098, expected_value: Value, label: measure} + - {column: L, row: 4099, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4100 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4100, expected_value: E12000002, label: geography} + - {column: D, row: 4100, expected_value: Females, label: sex} + - {column: E, row: 4100, expected_value: Total, label: employment type} + - {column: J, row: 4100, expected_value: Value, label: measure} + - {column: L, row: 4101, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4102 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4102, expected_value: E12000002, label: geography} + - {column: D, row: 4102, expected_value: Females, label: sex} + - {column: E, row: 4102, expected_value: Total, label: employment type} + - {column: J, row: 4102, expected_value: Value, label: measure} + - {column: L, row: 4103, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4104 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4104, expected_value: E12000002, label: geography} + - {column: D, row: 4104, expected_value: Females, label: sex} + - {column: E, row: 4104, expected_value: Total, label: employment type} + - {column: J, row: 4104, expected_value: Value, label: measure} + - {column: L, row: 4105, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4035 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4035, expected_value: E12000002, label: geography} + - {column: D, row: 4035, expected_value: Females, label: sex} + - {column: E, row: 4035, expected_value: Total, label: employment type} + - {column: J, row: 4035, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4037 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4037, expected_value: E12000002, label: geography} + - {column: D, row: 4037, expected_value: Females, label: sex} + - {column: E, row: 4037, expected_value: Total, label: employment type} + - {column: J, row: 4037, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4039 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4039, expected_value: E12000002, label: geography} + - {column: D, row: 4039, expected_value: Females, label: sex} + - {column: E, row: 4039, expected_value: Total, label: employment type} + - {column: J, row: 4039, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4041 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4041, expected_value: E12000002, label: geography} + - {column: D, row: 4041, expected_value: Females, label: sex} + - {column: E, row: 4041, expected_value: Total, label: employment type} + - {column: J, row: 4041, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4043 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4043, expected_value: E12000002, label: geography} + - {column: D, row: 4043, expected_value: Females, label: sex} + - {column: E, row: 4043, expected_value: Total, label: employment type} + - {column: J, row: 4043, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4045 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4045, expected_value: E12000002, label: geography} + - {column: D, row: 4045, expected_value: Females, label: sex} + - {column: E, row: 4045, expected_value: Total, label: employment type} + - {column: J, row: 4045, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4047 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4047, expected_value: E12000002, label: geography} + - {column: D, row: 4047, expected_value: Females, label: sex} + - {column: E, row: 4047, expected_value: Total, label: employment type} + - {column: J, row: 4047, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4049 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4049, expected_value: E12000002, label: geography} + - {column: D, row: 4049, expected_value: Females, label: sex} + - {column: E, row: 4049, expected_value: Total, label: employment type} + - {column: J, row: 4049, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4051 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4051, expected_value: E12000002, label: geography} + - {column: D, row: 4051, expected_value: Females, label: sex} + - {column: E, row: 4051, expected_value: Total, label: employment type} + - {column: J, row: 4051, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4053 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4053, expected_value: E12000002, label: geography} + - {column: D, row: 4053, expected_value: Females, label: sex} + - {column: E, row: 4053, expected_value: Total, label: employment type} + - {column: J, row: 4053, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4055 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4055, expected_value: E12000002, label: geography} + - {column: D, row: 4055, expected_value: Females, label: sex} + - {column: E, row: 4055, expected_value: Total, label: employment type} + - {column: J, row: 4055, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4057 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4057, expected_value: E12000002, label: geography} + - {column: D, row: 4057, expected_value: Females, label: sex} + - {column: E, row: 4057, expected_value: Total, label: employment type} + - {column: J, row: 4057, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4059 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4059, expected_value: E12000002, label: geography} + - {column: D, row: 4059, expected_value: Females, label: sex} + - {column: E, row: 4059, expected_value: Total, label: employment type} + - {column: J, row: 4059, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4061 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4061, expected_value: E12000002, label: geography} + - {column: D, row: 4061, expected_value: Females, label: sex} + - {column: E, row: 4061, expected_value: Total, label: employment type} + - {column: J, row: 4061, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4063 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4063, expected_value: E12000002, label: geography} + - {column: D, row: 4063, expected_value: Females, label: sex} + - {column: E, row: 4063, expected_value: Total, label: employment type} + - {column: J, row: 4063, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4065 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4065, expected_value: E12000002, label: geography} + - {column: D, row: 4065, expected_value: Females, label: sex} + - {column: E, row: 4065, expected_value: Total, label: employment type} + - {column: J, row: 4065, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4067 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4067, expected_value: E12000002, label: geography} + - {column: D, row: 4067, expected_value: Females, label: sex} + - {column: E, row: 4067, expected_value: Total, label: employment type} + - {column: J, row: 4067, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4069 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4069, expected_value: E12000002, label: geography} + - {column: D, row: 4069, expected_value: Females, label: sex} + - {column: E, row: 4069, expected_value: Total, label: employment type} + - {column: J, row: 4069, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4071 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4071, expected_value: E12000002, label: geography} + - {column: D, row: 4071, expected_value: Females, label: sex} + - {column: E, row: 4071, expected_value: Total, label: employment type} + - {column: J, row: 4071, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4073 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4073, expected_value: E12000002, label: geography} + - {column: D, row: 4073, expected_value: Females, label: sex} + - {column: E, row: 4073, expected_value: Total, label: employment type} + - {column: J, row: 4073, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4075 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4075, expected_value: E12000002, label: geography} + - {column: D, row: 4075, expected_value: Females, label: sex} + - {column: E, row: 4075, expected_value: Total, label: employment type} + - {column: J, row: 4075, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4079 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4079, expected_value: E12000002, label: geography} + - {column: D, row: 4079, expected_value: Females, label: sex} + - {column: E, row: 4079, expected_value: Total, label: employment type} + - {column: J, row: 4079, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4081 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4081, expected_value: E12000002, label: geography} + - {column: D, row: 4081, expected_value: Females, label: sex} + - {column: E, row: 4081, expected_value: Total, label: employment type} + - {column: J, row: 4081, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4083 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4083, expected_value: E12000002, label: geography} + - {column: D, row: 4083, expected_value: Females, label: sex} + - {column: E, row: 4083, expected_value: Total, label: employment type} + - {column: J, row: 4083, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4085 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4085, expected_value: E12000002, label: geography} + - {column: D, row: 4085, expected_value: Females, label: sex} + - {column: E, row: 4085, expected_value: Total, label: employment type} + - {column: J, row: 4085, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4089 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4089, expected_value: E12000002, label: geography} + - {column: D, row: 4089, expected_value: Females, label: sex} + - {column: E, row: 4089, expected_value: Total, label: employment type} + - {column: J, row: 4089, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4091 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4091, expected_value: E12000002, label: geography} + - {column: D, row: 4091, expected_value: Females, label: sex} + - {column: E, row: 4091, expected_value: Total, label: employment type} + - {column: J, row: 4091, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4093 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4093, expected_value: E12000002, label: geography} + - {column: D, row: 4093, expected_value: Females, label: sex} + - {column: E, row: 4093, expected_value: Total, label: employment type} + - {column: J, row: 4093, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4095 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4095, expected_value: E12000002, label: geography} + - {column: D, row: 4095, expected_value: Females, label: sex} + - {column: E, row: 4095, expected_value: Total, label: employment type} + - {column: J, row: 4095, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4097 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4097, expected_value: E12000002, label: geography} + - {column: D, row: 4097, expected_value: Females, label: sex} + - {column: E, row: 4097, expected_value: Total, label: employment type} + - {column: J, row: 4097, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4099 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4099, expected_value: E12000002, label: geography} + - {column: D, row: 4099, expected_value: Females, label: sex} + - {column: E, row: 4099, expected_value: Total, label: employment type} + - {column: J, row: 4099, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4101 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4101, expected_value: E12000002, label: geography} + - {column: D, row: 4101, expected_value: Females, label: sex} + - {column: E, row: 4101, expected_value: Total, label: employment type} + - {column: J, row: 4101, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4103 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4103, expected_value: E12000002, label: geography} + - {column: D, row: 4103, expected_value: Females, label: sex} + - {column: E, row: 4103, expected_value: Total, label: employment type} + - {column: J, row: 4103, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4105 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4105, expected_value: E12000002, label: geography} + - {column: D, row: 4105, expected_value: Females, label: sex} + - {column: E, row: 4105, expected_value: Total, label: employment type} + - {column: J, row: 4105, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4250 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4250, expected_value: E12000002, label: geography} + - {column: D, row: 4250, expected_value: Females, label: sex} + - {column: E, row: 4250, expected_value: Employee, label: employment type} + - {column: J, row: 4250, expected_value: Value, label: measure} + - {column: L, row: 4251, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4252 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4252, expected_value: E12000002, label: geography} + - {column: D, row: 4252, expected_value: Females, label: sex} + - {column: E, row: 4252, expected_value: Employee, label: employment type} + - {column: J, row: 4252, expected_value: Value, label: measure} + - {column: L, row: 4253, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4254 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4254, expected_value: E12000002, label: geography} + - {column: D, row: 4254, expected_value: Females, label: sex} + - {column: E, row: 4254, expected_value: Employee, label: employment type} + - {column: J, row: 4254, expected_value: Value, label: measure} + - {column: L, row: 4255, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4256 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4256, expected_value: E12000002, label: geography} + - {column: D, row: 4256, expected_value: Females, label: sex} + - {column: E, row: 4256, expected_value: Employee, label: employment type} + - {column: J, row: 4256, expected_value: Value, label: measure} + - {column: L, row: 4257, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4258 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4258, expected_value: E12000002, label: geography} + - {column: D, row: 4258, expected_value: Females, label: sex} + - {column: E, row: 4258, expected_value: Employee, label: employment type} + - {column: J, row: 4258, expected_value: Value, label: measure} + - {column: L, row: 4259, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4260 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4260, expected_value: E12000002, label: geography} + - {column: D, row: 4260, expected_value: Females, label: sex} + - {column: E, row: 4260, expected_value: Employee, label: employment type} + - {column: J, row: 4260, expected_value: Value, label: measure} + - {column: L, row: 4261, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4262 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4262, expected_value: E12000002, label: geography} + - {column: D, row: 4262, expected_value: Females, label: sex} + - {column: E, row: 4262, expected_value: Employee, label: employment type} + - {column: J, row: 4262, expected_value: Value, label: measure} + - {column: L, row: 4263, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4264 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4264, expected_value: E12000002, label: geography} + - {column: D, row: 4264, expected_value: Females, label: sex} + - {column: E, row: 4264, expected_value: Employee, label: employment type} + - {column: J, row: 4264, expected_value: Value, label: measure} + - {column: L, row: 4265, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4266 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4266, expected_value: E12000002, label: geography} + - {column: D, row: 4266, expected_value: Females, label: sex} + - {column: E, row: 4266, expected_value: Employee, label: employment type} + - {column: J, row: 4266, expected_value: Value, label: measure} + - {column: L, row: 4267, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4268 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4268, expected_value: E12000002, label: geography} + - {column: D, row: 4268, expected_value: Females, label: sex} + - {column: E, row: 4268, expected_value: Employee, label: employment type} + - {column: J, row: 4268, expected_value: Value, label: measure} + - {column: L, row: 4269, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4270 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4270, expected_value: E12000002, label: geography} + - {column: D, row: 4270, expected_value: Females, label: sex} + - {column: E, row: 4270, expected_value: Employee, label: employment type} + - {column: J, row: 4270, expected_value: Value, label: measure} + - {column: L, row: 4271, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4272 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4272, expected_value: E12000002, label: geography} + - {column: D, row: 4272, expected_value: Females, label: sex} + - {column: E, row: 4272, expected_value: Employee, label: employment type} + - {column: J, row: 4272, expected_value: Value, label: measure} + - {column: L, row: 4273, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4274 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4274, expected_value: E12000002, label: geography} + - {column: D, row: 4274, expected_value: Females, label: sex} + - {column: E, row: 4274, expected_value: Employee, label: employment type} + - {column: J, row: 4274, expected_value: Value, label: measure} + - {column: L, row: 4275, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4276 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4276, expected_value: E12000002, label: geography} + - {column: D, row: 4276, expected_value: Females, label: sex} + - {column: E, row: 4276, expected_value: Employee, label: employment type} + - {column: J, row: 4276, expected_value: Value, label: measure} + - {column: L, row: 4277, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4278 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4278, expected_value: E12000002, label: geography} + - {column: D, row: 4278, expected_value: Females, label: sex} + - {column: E, row: 4278, expected_value: Employee, label: employment type} + - {column: J, row: 4278, expected_value: Value, label: measure} + - {column: L, row: 4279, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4280 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4280, expected_value: E12000002, label: geography} + - {column: D, row: 4280, expected_value: Females, label: sex} + - {column: E, row: 4280, expected_value: Employee, label: employment type} + - {column: J, row: 4280, expected_value: Value, label: measure} + - {column: L, row: 4281, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4282 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4282, expected_value: E12000002, label: geography} + - {column: D, row: 4282, expected_value: Females, label: sex} + - {column: E, row: 4282, expected_value: Employee, label: employment type} + - {column: J, row: 4282, expected_value: Value, label: measure} + - {column: L, row: 4283, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4284 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4284, expected_value: E12000002, label: geography} + - {column: D, row: 4284, expected_value: Females, label: sex} + - {column: E, row: 4284, expected_value: Employee, label: employment type} + - {column: J, row: 4284, expected_value: Value, label: measure} + - {column: L, row: 4285, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4286 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4286, expected_value: E12000002, label: geography} + - {column: D, row: 4286, expected_value: Females, label: sex} + - {column: E, row: 4286, expected_value: Employee, label: employment type} + - {column: J, row: 4286, expected_value: Value, label: measure} + - {column: L, row: 4287, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4288 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4288, expected_value: E12000002, label: geography} + - {column: D, row: 4288, expected_value: Females, label: sex} + - {column: E, row: 4288, expected_value: Employee, label: employment type} + - {column: J, row: 4288, expected_value: Value, label: measure} + - {column: L, row: 4289, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4290 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4290, expected_value: E12000002, label: geography} + - {column: D, row: 4290, expected_value: Females, label: sex} + - {column: E, row: 4290, expected_value: Employee, label: employment type} + - {column: J, row: 4290, expected_value: Value, label: measure} + - {column: L, row: 4291, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4292 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4292, expected_value: E12000002, label: geography} + - {column: D, row: 4292, expected_value: Females, label: sex} + - {column: E, row: 4292, expected_value: Employee, label: employment type} + - {column: J, row: 4292, expected_value: Value, label: measure} + - {column: L, row: 4293, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4294 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4294, expected_value: E12000002, label: geography} + - {column: D, row: 4294, expected_value: Females, label: sex} + - {column: E, row: 4294, expected_value: Employee, label: employment type} + - {column: J, row: 4294, expected_value: Value, label: measure} + - {column: L, row: 4295, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4296 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4296, expected_value: E12000002, label: geography} + - {column: D, row: 4296, expected_value: Females, label: sex} + - {column: E, row: 4296, expected_value: Employee, label: employment type} + - {column: J, row: 4296, expected_value: Value, label: measure} + - {column: L, row: 4297, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4298 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4298, expected_value: E12000002, label: geography} + - {column: D, row: 4298, expected_value: Females, label: sex} + - {column: E, row: 4298, expected_value: Employee, label: employment type} + - {column: J, row: 4298, expected_value: Value, label: measure} + - {column: L, row: 4299, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4300 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4300, expected_value: E12000002, label: geography} + - {column: D, row: 4300, expected_value: Females, label: sex} + - {column: E, row: 4300, expected_value: Employee, label: employment type} + - {column: J, row: 4300, expected_value: Value, label: measure} + - {column: L, row: 4301, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4304 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4304, expected_value: E12000002, label: geography} + - {column: D, row: 4304, expected_value: Females, label: sex} + - {column: E, row: 4304, expected_value: Employee, label: employment type} + - {column: J, row: 4304, expected_value: Value, label: measure} + - {column: L, row: 4305, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4306 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4306, expected_value: E12000002, label: geography} + - {column: D, row: 4306, expected_value: Females, label: sex} + - {column: E, row: 4306, expected_value: Employee, label: employment type} + - {column: J, row: 4306, expected_value: Value, label: measure} + - {column: L, row: 4307, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4308 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4308, expected_value: E12000002, label: geography} + - {column: D, row: 4308, expected_value: Females, label: sex} + - {column: E, row: 4308, expected_value: Employee, label: employment type} + - {column: J, row: 4308, expected_value: Value, label: measure} + - {column: L, row: 4309, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4310 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4310, expected_value: E12000002, label: geography} + - {column: D, row: 4310, expected_value: Females, label: sex} + - {column: E, row: 4310, expected_value: Employee, label: employment type} + - {column: J, row: 4310, expected_value: Value, label: measure} + - {column: L, row: 4311, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4312 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4312, expected_value: E12000002, label: geography} + - {column: D, row: 4312, expected_value: Females, label: sex} + - {column: E, row: 4312, expected_value: Employee, label: employment type} + - {column: J, row: 4312, expected_value: Value, label: measure} + - {column: L, row: 4313, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4314 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4314, expected_value: E12000002, label: geography} + - {column: D, row: 4314, expected_value: Females, label: sex} + - {column: E, row: 4314, expected_value: Employee, label: employment type} + - {column: J, row: 4314, expected_value: Value, label: measure} + - {column: L, row: 4315, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4316 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4316, expected_value: E12000002, label: geography} + - {column: D, row: 4316, expected_value: Females, label: sex} + - {column: E, row: 4316, expected_value: Employee, label: employment type} + - {column: J, row: 4316, expected_value: Value, label: measure} + - {column: L, row: 4317, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4318 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4318, expected_value: E12000002, label: geography} + - {column: D, row: 4318, expected_value: Females, label: sex} + - {column: E, row: 4318, expected_value: Employee, label: employment type} + - {column: J, row: 4318, expected_value: Value, label: measure} + - {column: L, row: 4319, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4320 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4320, expected_value: E12000002, label: geography} + - {column: D, row: 4320, expected_value: Females, label: sex} + - {column: E, row: 4320, expected_value: Employee, label: employment type} + - {column: J, row: 4320, expected_value: Value, label: measure} + - {column: L, row: 4321, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4251 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4251, expected_value: E12000002, label: geography} + - {column: D, row: 4251, expected_value: Females, label: sex} + - {column: E, row: 4251, expected_value: Employee, label: employment type} + - {column: J, row: 4251, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4253 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4253, expected_value: E12000002, label: geography} + - {column: D, row: 4253, expected_value: Females, label: sex} + - {column: E, row: 4253, expected_value: Employee, label: employment type} + - {column: J, row: 4253, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4255 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4255, expected_value: E12000002, label: geography} + - {column: D, row: 4255, expected_value: Females, label: sex} + - {column: E, row: 4255, expected_value: Employee, label: employment type} + - {column: J, row: 4255, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4257 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4257, expected_value: E12000002, label: geography} + - {column: D, row: 4257, expected_value: Females, label: sex} + - {column: E, row: 4257, expected_value: Employee, label: employment type} + - {column: J, row: 4257, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4259 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4259, expected_value: E12000002, label: geography} + - {column: D, row: 4259, expected_value: Females, label: sex} + - {column: E, row: 4259, expected_value: Employee, label: employment type} + - {column: J, row: 4259, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4261 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4261, expected_value: E12000002, label: geography} + - {column: D, row: 4261, expected_value: Females, label: sex} + - {column: E, row: 4261, expected_value: Employee, label: employment type} + - {column: J, row: 4261, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4263 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4263, expected_value: E12000002, label: geography} + - {column: D, row: 4263, expected_value: Females, label: sex} + - {column: E, row: 4263, expected_value: Employee, label: employment type} + - {column: J, row: 4263, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4265 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4265, expected_value: E12000002, label: geography} + - {column: D, row: 4265, expected_value: Females, label: sex} + - {column: E, row: 4265, expected_value: Employee, label: employment type} + - {column: J, row: 4265, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4267 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4267, expected_value: E12000002, label: geography} + - {column: D, row: 4267, expected_value: Females, label: sex} + - {column: E, row: 4267, expected_value: Employee, label: employment type} + - {column: J, row: 4267, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4269 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4269, expected_value: E12000002, label: geography} + - {column: D, row: 4269, expected_value: Females, label: sex} + - {column: E, row: 4269, expected_value: Employee, label: employment type} + - {column: J, row: 4269, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4271 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4271, expected_value: E12000002, label: geography} + - {column: D, row: 4271, expected_value: Females, label: sex} + - {column: E, row: 4271, expected_value: Employee, label: employment type} + - {column: J, row: 4271, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4273 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4273, expected_value: E12000002, label: geography} + - {column: D, row: 4273, expected_value: Females, label: sex} + - {column: E, row: 4273, expected_value: Employee, label: employment type} + - {column: J, row: 4273, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4275 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4275, expected_value: E12000002, label: geography} + - {column: D, row: 4275, expected_value: Females, label: sex} + - {column: E, row: 4275, expected_value: Employee, label: employment type} + - {column: J, row: 4275, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4277 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4277, expected_value: E12000002, label: geography} + - {column: D, row: 4277, expected_value: Females, label: sex} + - {column: E, row: 4277, expected_value: Employee, label: employment type} + - {column: J, row: 4277, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4279 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4279, expected_value: E12000002, label: geography} + - {column: D, row: 4279, expected_value: Females, label: sex} + - {column: E, row: 4279, expected_value: Employee, label: employment type} + - {column: J, row: 4279, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4281 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4281, expected_value: E12000002, label: geography} + - {column: D, row: 4281, expected_value: Females, label: sex} + - {column: E, row: 4281, expected_value: Employee, label: employment type} + - {column: J, row: 4281, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4283 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4283, expected_value: E12000002, label: geography} + - {column: D, row: 4283, expected_value: Females, label: sex} + - {column: E, row: 4283, expected_value: Employee, label: employment type} + - {column: J, row: 4283, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4285 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4285, expected_value: E12000002, label: geography} + - {column: D, row: 4285, expected_value: Females, label: sex} + - {column: E, row: 4285, expected_value: Employee, label: employment type} + - {column: J, row: 4285, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4287 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4287, expected_value: E12000002, label: geography} + - {column: D, row: 4287, expected_value: Females, label: sex} + - {column: E, row: 4287, expected_value: Employee, label: employment type} + - {column: J, row: 4287, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4291 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4291, expected_value: E12000002, label: geography} + - {column: D, row: 4291, expected_value: Females, label: sex} + - {column: E, row: 4291, expected_value: Employee, label: employment type} + - {column: J, row: 4291, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4295 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4295, expected_value: E12000002, label: geography} + - {column: D, row: 4295, expected_value: Females, label: sex} + - {column: E, row: 4295, expected_value: Employee, label: employment type} + - {column: J, row: 4295, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4297 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4297, expected_value: E12000002, label: geography} + - {column: D, row: 4297, expected_value: Females, label: sex} + - {column: E, row: 4297, expected_value: Employee, label: employment type} + - {column: J, row: 4297, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4299 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4299, expected_value: E12000002, label: geography} + - {column: D, row: 4299, expected_value: Females, label: sex} + - {column: E, row: 4299, expected_value: Employee, label: employment type} + - {column: J, row: 4299, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4301 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4301, expected_value: E12000002, label: geography} + - {column: D, row: 4301, expected_value: Females, label: sex} + - {column: E, row: 4301, expected_value: Employee, label: employment type} + - {column: J, row: 4301, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4305 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4305, expected_value: E12000002, label: geography} + - {column: D, row: 4305, expected_value: Females, label: sex} + - {column: E, row: 4305, expected_value: Employee, label: employment type} + - {column: J, row: 4305, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4307 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4307, expected_value: E12000002, label: geography} + - {column: D, row: 4307, expected_value: Females, label: sex} + - {column: E, row: 4307, expected_value: Employee, label: employment type} + - {column: J, row: 4307, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4309 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4309, expected_value: E12000002, label: geography} + - {column: D, row: 4309, expected_value: Females, label: sex} + - {column: E, row: 4309, expected_value: Employee, label: employment type} + - {column: J, row: 4309, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4311 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4311, expected_value: E12000002, label: geography} + - {column: D, row: 4311, expected_value: Females, label: sex} + - {column: E, row: 4311, expected_value: Employee, label: employment type} + - {column: J, row: 4311, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4313 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4313, expected_value: E12000002, label: geography} + - {column: D, row: 4313, expected_value: Females, label: sex} + - {column: E, row: 4313, expected_value: Employee, label: employment type} + - {column: J, row: 4313, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4315 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4315, expected_value: E12000002, label: geography} + - {column: D, row: 4315, expected_value: Females, label: sex} + - {column: E, row: 4315, expected_value: Employee, label: employment type} + - {column: J, row: 4315, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4317 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4317, expected_value: E12000002, label: geography} + - {column: D, row: 4317, expected_value: Females, label: sex} + - {column: E, row: 4317, expected_value: Employee, label: employment type} + - {column: J, row: 4317, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4319 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4319, expected_value: E12000002, label: geography} + - {column: D, row: 4319, expected_value: Females, label: sex} + - {column: E, row: 4319, expected_value: Employee, label: employment type} + - {column: J, row: 4319, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4321 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4321, expected_value: E12000002, label: geography} + - {column: D, row: 4321, expected_value: Females, label: sex} + - {column: E, row: 4321, expected_value: Employee, label: employment type} + - {column: J, row: 4321, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4466 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4466, expected_value: E12000002, label: geography} + - {column: D, row: 4466, expected_value: Females, label: sex} + - {column: E, row: 4466, expected_value: Self-employed, label: employment type} + - {column: J, row: 4466, expected_value: Value, label: measure} + - {column: L, row: 4467, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4468 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4468, expected_value: E12000002, label: geography} + - {column: D, row: 4468, expected_value: Females, label: sex} + - {column: E, row: 4468, expected_value: Self-employed, label: employment type} + - {column: J, row: 4468, expected_value: Value, label: measure} + - {column: L, row: 4469, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4470 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4470, expected_value: E12000002, label: geography} + - {column: D, row: 4470, expected_value: Females, label: sex} + - {column: E, row: 4470, expected_value: Self-employed, label: employment type} + - {column: J, row: 4470, expected_value: Value, label: measure} + - {column: L, row: 4471, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4472 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4472, expected_value: E12000002, label: geography} + - {column: D, row: 4472, expected_value: Females, label: sex} + - {column: E, row: 4472, expected_value: Self-employed, label: employment type} + - {column: J, row: 4472, expected_value: Value, label: measure} + - {column: L, row: 4473, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4474 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4474, expected_value: E12000002, label: geography} + - {column: D, row: 4474, expected_value: Females, label: sex} + - {column: E, row: 4474, expected_value: Self-employed, label: employment type} + - {column: J, row: 4474, expected_value: Value, label: measure} + - {column: L, row: 4475, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4476 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4476, expected_value: E12000002, label: geography} + - {column: D, row: 4476, expected_value: Females, label: sex} + - {column: E, row: 4476, expected_value: Self-employed, label: employment type} + - {column: J, row: 4476, expected_value: Value, label: measure} + - {column: L, row: 4477, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4478 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4478, expected_value: E12000002, label: geography} + - {column: D, row: 4478, expected_value: Females, label: sex} + - {column: E, row: 4478, expected_value: Self-employed, label: employment type} + - {column: J, row: 4478, expected_value: Value, label: measure} + - {column: L, row: 4479, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4480 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4480, expected_value: E12000002, label: geography} + - {column: D, row: 4480, expected_value: Females, label: sex} + - {column: E, row: 4480, expected_value: Self-employed, label: employment type} + - {column: J, row: 4480, expected_value: Value, label: measure} + - {column: L, row: 4481, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4482 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4482, expected_value: E12000002, label: geography} + - {column: D, row: 4482, expected_value: Females, label: sex} + - {column: E, row: 4482, expected_value: Self-employed, label: employment type} + - {column: J, row: 4482, expected_value: Value, label: measure} + - {column: L, row: 4483, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4484 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4484, expected_value: E12000002, label: geography} + - {column: D, row: 4484, expected_value: Females, label: sex} + - {column: E, row: 4484, expected_value: Self-employed, label: employment type} + - {column: J, row: 4484, expected_value: Value, label: measure} + - {column: L, row: 4485, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4488 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4488, expected_value: E12000002, label: geography} + - {column: D, row: 4488, expected_value: Females, label: sex} + - {column: E, row: 4488, expected_value: Self-employed, label: employment type} + - {column: J, row: 4488, expected_value: Value, label: measure} + - {column: L, row: 4489, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4492 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4492, expected_value: E12000002, label: geography} + - {column: D, row: 4492, expected_value: Females, label: sex} + - {column: E, row: 4492, expected_value: Self-employed, label: employment type} + - {column: J, row: 4492, expected_value: Value, label: measure} + - {column: L, row: 4493, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4494 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4494, expected_value: E12000002, label: geography} + - {column: D, row: 4494, expected_value: Females, label: sex} + - {column: E, row: 4494, expected_value: Self-employed, label: employment type} + - {column: J, row: 4494, expected_value: Value, label: measure} + - {column: L, row: 4495, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4496 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4496, expected_value: E12000002, label: geography} + - {column: D, row: 4496, expected_value: Females, label: sex} + - {column: E, row: 4496, expected_value: Self-employed, label: employment type} + - {column: J, row: 4496, expected_value: Value, label: measure} + - {column: L, row: 4497, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4498 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4498, expected_value: E12000002, label: geography} + - {column: D, row: 4498, expected_value: Females, label: sex} + - {column: E, row: 4498, expected_value: Self-employed, label: employment type} + - {column: J, row: 4498, expected_value: Value, label: measure} + - {column: L, row: 4499, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4500 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4500, expected_value: E12000002, label: geography} + - {column: D, row: 4500, expected_value: Females, label: sex} + - {column: E, row: 4500, expected_value: Self-employed, label: employment type} + - {column: J, row: 4500, expected_value: Value, label: measure} + - {column: L, row: 4501, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4502 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4502, expected_value: E12000002, label: geography} + - {column: D, row: 4502, expected_value: Females, label: sex} + - {column: E, row: 4502, expected_value: Self-employed, label: employment type} + - {column: J, row: 4502, expected_value: Value, label: measure} + - {column: L, row: 4503, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4504 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4504, expected_value: E12000002, label: geography} + - {column: D, row: 4504, expected_value: Females, label: sex} + - {column: E, row: 4504, expected_value: Self-employed, label: employment type} + - {column: J, row: 4504, expected_value: Value, label: measure} + - {column: L, row: 4505, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4508 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4508, expected_value: E12000002, label: geography} + - {column: D, row: 4508, expected_value: Females, label: sex} + - {column: E, row: 4508, expected_value: Self-employed, label: employment type} + - {column: J, row: 4508, expected_value: Value, label: measure} + - {column: L, row: 4509, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4510 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4510, expected_value: E12000002, label: geography} + - {column: D, row: 4510, expected_value: Females, label: sex} + - {column: E, row: 4510, expected_value: Self-employed, label: employment type} + - {column: J, row: 4510, expected_value: Value, label: measure} + - {column: L, row: 4511, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4512 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4512, expected_value: E12000002, label: geography} + - {column: D, row: 4512, expected_value: Females, label: sex} + - {column: E, row: 4512, expected_value: Self-employed, label: employment type} + - {column: J, row: 4512, expected_value: Value, label: measure} + - {column: L, row: 4513, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4514 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4514, expected_value: E12000002, label: geography} + - {column: D, row: 4514, expected_value: Females, label: sex} + - {column: E, row: 4514, expected_value: Self-employed, label: employment type} + - {column: J, row: 4514, expected_value: Value, label: measure} + - {column: L, row: 4515, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4516 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4516, expected_value: E12000002, label: geography} + - {column: D, row: 4516, expected_value: Females, label: sex} + - {column: E, row: 4516, expected_value: Self-employed, label: employment type} + - {column: J, row: 4516, expected_value: Value, label: measure} + - {column: L, row: 4517, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4520 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4520, expected_value: E12000002, label: geography} + - {column: D, row: 4520, expected_value: Females, label: sex} + - {column: E, row: 4520, expected_value: Self-employed, label: employment type} + - {column: J, row: 4520, expected_value: Value, label: measure} + - {column: L, row: 4521, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4522 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4522, expected_value: E12000002, label: geography} + - {column: D, row: 4522, expected_value: Females, label: sex} + - {column: E, row: 4522, expected_value: Self-employed, label: employment type} + - {column: J, row: 4522, expected_value: Value, label: measure} + - {column: L, row: 4523, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4526 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4526, expected_value: E12000002, label: geography} + - {column: D, row: 4526, expected_value: Females, label: sex} + - {column: E, row: 4526, expected_value: Self-employed, label: employment type} + - {column: J, row: 4526, expected_value: Value, label: measure} + - {column: L, row: 4527, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4528 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4528, expected_value: E12000002, label: geography} + - {column: D, row: 4528, expected_value: Females, label: sex} + - {column: E, row: 4528, expected_value: Self-employed, label: employment type} + - {column: J, row: 4528, expected_value: Value, label: measure} + - {column: L, row: 4529, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4530 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4530, expected_value: E12000002, label: geography} + - {column: D, row: 4530, expected_value: Females, label: sex} + - {column: E, row: 4530, expected_value: Self-employed, label: employment type} + - {column: J, row: 4530, expected_value: Value, label: measure} + - {column: L, row: 4531, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4532 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4532, expected_value: E12000002, label: geography} + - {column: D, row: 4532, expected_value: Females, label: sex} + - {column: E, row: 4532, expected_value: Self-employed, label: employment type} + - {column: J, row: 4532, expected_value: Value, label: measure} + - {column: L, row: 4533, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4536 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4536, expected_value: E12000002, label: geography} + - {column: D, row: 4536, expected_value: Females, label: sex} + - {column: E, row: 4536, expected_value: Self-employed, label: employment type} + - {column: J, row: 4536, expected_value: Value, label: measure} + - {column: L, row: 4537, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4467 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4467, expected_value: E12000002, label: geography} + - {column: D, row: 4467, expected_value: Females, label: sex} + - {column: E, row: 4467, expected_value: Self-employed, label: employment type} + - {column: J, row: 4467, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4469 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4469, expected_value: E12000002, label: geography} + - {column: D, row: 4469, expected_value: Females, label: sex} + - {column: E, row: 4469, expected_value: Self-employed, label: employment type} + - {column: J, row: 4469, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4471 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4471, expected_value: E12000002, label: geography} + - {column: D, row: 4471, expected_value: Females, label: sex} + - {column: E, row: 4471, expected_value: Self-employed, label: employment type} + - {column: J, row: 4471, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4473 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4473, expected_value: E12000002, label: geography} + - {column: D, row: 4473, expected_value: Females, label: sex} + - {column: E, row: 4473, expected_value: Self-employed, label: employment type} + - {column: J, row: 4473, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4475 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4475, expected_value: E12000002, label: geography} + - {column: D, row: 4475, expected_value: Females, label: sex} + - {column: E, row: 4475, expected_value: Self-employed, label: employment type} + - {column: J, row: 4475, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4479 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4479, expected_value: E12000002, label: geography} + - {column: D, row: 4479, expected_value: Females, label: sex} + - {column: E, row: 4479, expected_value: Self-employed, label: employment type} + - {column: J, row: 4479, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4481 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4481, expected_value: E12000002, label: geography} + - {column: D, row: 4481, expected_value: Females, label: sex} + - {column: E, row: 4481, expected_value: Self-employed, label: employment type} + - {column: J, row: 4481, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4483 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4483, expected_value: E12000002, label: geography} + - {column: D, row: 4483, expected_value: Females, label: sex} + - {column: E, row: 4483, expected_value: Self-employed, label: employment type} + - {column: J, row: 4483, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4485 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4485, expected_value: E12000002, label: geography} + - {column: D, row: 4485, expected_value: Females, label: sex} + - {column: E, row: 4485, expected_value: Self-employed, label: employment type} + - {column: J, row: 4485, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4489 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4489, expected_value: E12000002, label: geography} + - {column: D, row: 4489, expected_value: Females, label: sex} + - {column: E, row: 4489, expected_value: Self-employed, label: employment type} + - {column: J, row: 4489, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4493 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4493, expected_value: E12000002, label: geography} + - {column: D, row: 4493, expected_value: Females, label: sex} + - {column: E, row: 4493, expected_value: Self-employed, label: employment type} + - {column: J, row: 4493, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4495 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4495, expected_value: E12000002, label: geography} + - {column: D, row: 4495, expected_value: Females, label: sex} + - {column: E, row: 4495, expected_value: Self-employed, label: employment type} + - {column: J, row: 4495, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4497 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4497, expected_value: E12000002, label: geography} + - {column: D, row: 4497, expected_value: Females, label: sex} + - {column: E, row: 4497, expected_value: Self-employed, label: employment type} + - {column: J, row: 4497, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4499 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4499, expected_value: E12000002, label: geography} + - {column: D, row: 4499, expected_value: Females, label: sex} + - {column: E, row: 4499, expected_value: Self-employed, label: employment type} + - {column: J, row: 4499, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4503 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4503, expected_value: E12000002, label: geography} + - {column: D, row: 4503, expected_value: Females, label: sex} + - {column: E, row: 4503, expected_value: Self-employed, label: employment type} + - {column: J, row: 4503, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4505 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4505, expected_value: E12000002, label: geography} + - {column: D, row: 4505, expected_value: Females, label: sex} + - {column: E, row: 4505, expected_value: Self-employed, label: employment type} + - {column: J, row: 4505, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4511 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4511, expected_value: E12000002, label: geography} + - {column: D, row: 4511, expected_value: Females, label: sex} + - {column: E, row: 4511, expected_value: Self-employed, label: employment type} + - {column: J, row: 4511, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4513 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4513, expected_value: E12000002, label: geography} + - {column: D, row: 4513, expected_value: Females, label: sex} + - {column: E, row: 4513, expected_value: Self-employed, label: employment type} + - {column: J, row: 4513, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4515 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4515, expected_value: E12000002, label: geography} + - {column: D, row: 4515, expected_value: Females, label: sex} + - {column: E, row: 4515, expected_value: Self-employed, label: employment type} + - {column: J, row: 4515, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4517 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4517, expected_value: E12000002, label: geography} + - {column: D, row: 4517, expected_value: Females, label: sex} + - {column: E, row: 4517, expected_value: Self-employed, label: employment type} + - {column: J, row: 4517, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4521 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4521, expected_value: E12000002, label: geography} + - {column: D, row: 4521, expected_value: Females, label: sex} + - {column: E, row: 4521, expected_value: Self-employed, label: employment type} + - {column: J, row: 4521, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4523 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4523, expected_value: E12000002, label: geography} + - {column: D, row: 4523, expected_value: Females, label: sex} + - {column: E, row: 4523, expected_value: Self-employed, label: employment type} + - {column: J, row: 4523, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4527 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4527, expected_value: E12000002, label: geography} + - {column: D, row: 4527, expected_value: Females, label: sex} + - {column: E, row: 4527, expected_value: Self-employed, label: employment type} + - {column: J, row: 4527, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4533 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4533, expected_value: E12000002, label: geography} + - {column: D, row: 4533, expected_value: Females, label: sex} + - {column: E, row: 4533, expected_value: Self-employed, label: employment type} + - {column: J, row: 4533, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4537 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4537, expected_value: E12000002, label: geography} + - {column: D, row: 4537, expected_value: Females, label: sex} + - {column: E, row: 4537, expected_value: Self-employed, label: employment type} + - {column: J, row: 4537, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4538 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4538, expected_value: E12000003, label: geography} + - {column: D, row: 4538, expected_value: All persons, label: sex} + - {column: E, row: 4538, expected_value: Total, label: employment type} + - {column: J, row: 4538, expected_value: Value, label: measure} + - {column: L, row: 4539, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4540 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4540, expected_value: E12000003, label: geography} + - {column: D, row: 4540, expected_value: All persons, label: sex} + - {column: E, row: 4540, expected_value: Total, label: employment type} + - {column: J, row: 4540, expected_value: Value, label: measure} + - {column: L, row: 4541, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4542 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4542, expected_value: E12000003, label: geography} + - {column: D, row: 4542, expected_value: All persons, label: sex} + - {column: E, row: 4542, expected_value: Total, label: employment type} + - {column: J, row: 4542, expected_value: Value, label: measure} + - {column: L, row: 4543, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4544 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4544, expected_value: E12000003, label: geography} + - {column: D, row: 4544, expected_value: All persons, label: sex} + - {column: E, row: 4544, expected_value: Total, label: employment type} + - {column: J, row: 4544, expected_value: Value, label: measure} + - {column: L, row: 4545, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4546 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4546, expected_value: E12000003, label: geography} + - {column: D, row: 4546, expected_value: All persons, label: sex} + - {column: E, row: 4546, expected_value: Total, label: employment type} + - {column: J, row: 4546, expected_value: Value, label: measure} + - {column: L, row: 4547, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4548 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4548, expected_value: E12000003, label: geography} + - {column: D, row: 4548, expected_value: All persons, label: sex} + - {column: E, row: 4548, expected_value: Total, label: employment type} + - {column: J, row: 4548, expected_value: Value, label: measure} + - {column: L, row: 4549, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4550 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4550, expected_value: E12000003, label: geography} + - {column: D, row: 4550, expected_value: All persons, label: sex} + - {column: E, row: 4550, expected_value: Total, label: employment type} + - {column: J, row: 4550, expected_value: Value, label: measure} + - {column: L, row: 4551, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4552 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4552, expected_value: E12000003, label: geography} + - {column: D, row: 4552, expected_value: All persons, label: sex} + - {column: E, row: 4552, expected_value: Total, label: employment type} + - {column: J, row: 4552, expected_value: Value, label: measure} + - {column: L, row: 4553, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4554 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4554, expected_value: E12000003, label: geography} + - {column: D, row: 4554, expected_value: All persons, label: sex} + - {column: E, row: 4554, expected_value: Total, label: employment type} + - {column: J, row: 4554, expected_value: Value, label: measure} + - {column: L, row: 4555, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4556 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4556, expected_value: E12000003, label: geography} + - {column: D, row: 4556, expected_value: All persons, label: sex} + - {column: E, row: 4556, expected_value: Total, label: employment type} + - {column: J, row: 4556, expected_value: Value, label: measure} + - {column: L, row: 4557, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4558 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4558, expected_value: E12000003, label: geography} + - {column: D, row: 4558, expected_value: All persons, label: sex} + - {column: E, row: 4558, expected_value: Total, label: employment type} + - {column: J, row: 4558, expected_value: Value, label: measure} + - {column: L, row: 4559, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4560 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4560, expected_value: E12000003, label: geography} + - {column: D, row: 4560, expected_value: All persons, label: sex} + - {column: E, row: 4560, expected_value: Total, label: employment type} + - {column: J, row: 4560, expected_value: Value, label: measure} + - {column: L, row: 4561, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4562 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4562, expected_value: E12000003, label: geography} + - {column: D, row: 4562, expected_value: All persons, label: sex} + - {column: E, row: 4562, expected_value: Total, label: employment type} + - {column: J, row: 4562, expected_value: Value, label: measure} + - {column: L, row: 4563, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4564 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4564, expected_value: E12000003, label: geography} + - {column: D, row: 4564, expected_value: All persons, label: sex} + - {column: E, row: 4564, expected_value: Total, label: employment type} + - {column: J, row: 4564, expected_value: Value, label: measure} + - {column: L, row: 4565, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4566 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4566, expected_value: E12000003, label: geography} + - {column: D, row: 4566, expected_value: All persons, label: sex} + - {column: E, row: 4566, expected_value: Total, label: employment type} + - {column: J, row: 4566, expected_value: Value, label: measure} + - {column: L, row: 4567, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4568 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4568, expected_value: E12000003, label: geography} + - {column: D, row: 4568, expected_value: All persons, label: sex} + - {column: E, row: 4568, expected_value: Total, label: employment type} + - {column: J, row: 4568, expected_value: Value, label: measure} + - {column: L, row: 4569, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4570 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4570, expected_value: E12000003, label: geography} + - {column: D, row: 4570, expected_value: All persons, label: sex} + - {column: E, row: 4570, expected_value: Total, label: employment type} + - {column: J, row: 4570, expected_value: Value, label: measure} + - {column: L, row: 4571, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4572 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4572, expected_value: E12000003, label: geography} + - {column: D, row: 4572, expected_value: All persons, label: sex} + - {column: E, row: 4572, expected_value: Total, label: employment type} + - {column: J, row: 4572, expected_value: Value, label: measure} + - {column: L, row: 4573, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4574 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4574, expected_value: E12000003, label: geography} + - {column: D, row: 4574, expected_value: All persons, label: sex} + - {column: E, row: 4574, expected_value: Total, label: employment type} + - {column: J, row: 4574, expected_value: Value, label: measure} + - {column: L, row: 4575, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4576 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4576, expected_value: E12000003, label: geography} + - {column: D, row: 4576, expected_value: All persons, label: sex} + - {column: E, row: 4576, expected_value: Total, label: employment type} + - {column: J, row: 4576, expected_value: Value, label: measure} + - {column: L, row: 4577, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4578 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4578, expected_value: E12000003, label: geography} + - {column: D, row: 4578, expected_value: All persons, label: sex} + - {column: E, row: 4578, expected_value: Total, label: employment type} + - {column: J, row: 4578, expected_value: Value, label: measure} + - {column: L, row: 4579, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4580 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4580, expected_value: E12000003, label: geography} + - {column: D, row: 4580, expected_value: All persons, label: sex} + - {column: E, row: 4580, expected_value: Total, label: employment type} + - {column: J, row: 4580, expected_value: Value, label: measure} + - {column: L, row: 4581, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4582 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4582, expected_value: E12000003, label: geography} + - {column: D, row: 4582, expected_value: All persons, label: sex} + - {column: E, row: 4582, expected_value: Total, label: employment type} + - {column: J, row: 4582, expected_value: Value, label: measure} + - {column: L, row: 4583, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4584 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4584, expected_value: E12000003, label: geography} + - {column: D, row: 4584, expected_value: All persons, label: sex} + - {column: E, row: 4584, expected_value: Total, label: employment type} + - {column: J, row: 4584, expected_value: Value, label: measure} + - {column: L, row: 4585, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4586 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4586, expected_value: E12000003, label: geography} + - {column: D, row: 4586, expected_value: All persons, label: sex} + - {column: E, row: 4586, expected_value: Total, label: employment type} + - {column: J, row: 4586, expected_value: Value, label: measure} + - {column: L, row: 4587, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4588 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4588, expected_value: E12000003, label: geography} + - {column: D, row: 4588, expected_value: All persons, label: sex} + - {column: E, row: 4588, expected_value: Total, label: employment type} + - {column: J, row: 4588, expected_value: Value, label: measure} + - {column: L, row: 4589, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4590 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4590, expected_value: E12000003, label: geography} + - {column: D, row: 4590, expected_value: All persons, label: sex} + - {column: E, row: 4590, expected_value: Total, label: employment type} + - {column: J, row: 4590, expected_value: Value, label: measure} + - {column: L, row: 4591, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4592 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4592, expected_value: E12000003, label: geography} + - {column: D, row: 4592, expected_value: All persons, label: sex} + - {column: E, row: 4592, expected_value: Total, label: employment type} + - {column: J, row: 4592, expected_value: Value, label: measure} + - {column: L, row: 4593, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4594 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4594, expected_value: E12000003, label: geography} + - {column: D, row: 4594, expected_value: All persons, label: sex} + - {column: E, row: 4594, expected_value: Total, label: employment type} + - {column: J, row: 4594, expected_value: Value, label: measure} + - {column: L, row: 4595, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4596 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4596, expected_value: E12000003, label: geography} + - {column: D, row: 4596, expected_value: All persons, label: sex} + - {column: E, row: 4596, expected_value: Total, label: employment type} + - {column: J, row: 4596, expected_value: Value, label: measure} + - {column: L, row: 4597, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4598 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4598, expected_value: E12000003, label: geography} + - {column: D, row: 4598, expected_value: All persons, label: sex} + - {column: E, row: 4598, expected_value: Total, label: employment type} + - {column: J, row: 4598, expected_value: Value, label: measure} + - {column: L, row: 4599, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4600 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4600, expected_value: E12000003, label: geography} + - {column: D, row: 4600, expected_value: All persons, label: sex} + - {column: E, row: 4600, expected_value: Total, label: employment type} + - {column: J, row: 4600, expected_value: Value, label: measure} + - {column: L, row: 4601, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4602 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4602, expected_value: E12000003, label: geography} + - {column: D, row: 4602, expected_value: All persons, label: sex} + - {column: E, row: 4602, expected_value: Total, label: employment type} + - {column: J, row: 4602, expected_value: Value, label: measure} + - {column: L, row: 4603, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4604 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4604, expected_value: E12000003, label: geography} + - {column: D, row: 4604, expected_value: All persons, label: sex} + - {column: E, row: 4604, expected_value: Total, label: employment type} + - {column: J, row: 4604, expected_value: Value, label: measure} + - {column: L, row: 4605, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4606 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4606, expected_value: E12000003, label: geography} + - {column: D, row: 4606, expected_value: All persons, label: sex} + - {column: E, row: 4606, expected_value: Total, label: employment type} + - {column: J, row: 4606, expected_value: Value, label: measure} + - {column: L, row: 4607, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4608 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4608, expected_value: E12000003, label: geography} + - {column: D, row: 4608, expected_value: All persons, label: sex} + - {column: E, row: 4608, expected_value: Total, label: employment type} + - {column: J, row: 4608, expected_value: Value, label: measure} + - {column: L, row: 4609, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4539 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4539, expected_value: E12000003, label: geography} + - {column: D, row: 4539, expected_value: All persons, label: sex} + - {column: E, row: 4539, expected_value: Total, label: employment type} + - {column: J, row: 4539, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4541 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4541, expected_value: E12000003, label: geography} + - {column: D, row: 4541, expected_value: All persons, label: sex} + - {column: E, row: 4541, expected_value: Total, label: employment type} + - {column: J, row: 4541, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4543 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4543, expected_value: E12000003, label: geography} + - {column: D, row: 4543, expected_value: All persons, label: sex} + - {column: E, row: 4543, expected_value: Total, label: employment type} + - {column: J, row: 4543, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4545 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4545, expected_value: E12000003, label: geography} + - {column: D, row: 4545, expected_value: All persons, label: sex} + - {column: E, row: 4545, expected_value: Total, label: employment type} + - {column: J, row: 4545, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4547 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4547, expected_value: E12000003, label: geography} + - {column: D, row: 4547, expected_value: All persons, label: sex} + - {column: E, row: 4547, expected_value: Total, label: employment type} + - {column: J, row: 4547, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4549 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4549, expected_value: E12000003, label: geography} + - {column: D, row: 4549, expected_value: All persons, label: sex} + - {column: E, row: 4549, expected_value: Total, label: employment type} + - {column: J, row: 4549, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4551 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4551, expected_value: E12000003, label: geography} + - {column: D, row: 4551, expected_value: All persons, label: sex} + - {column: E, row: 4551, expected_value: Total, label: employment type} + - {column: J, row: 4551, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4553 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4553, expected_value: E12000003, label: geography} + - {column: D, row: 4553, expected_value: All persons, label: sex} + - {column: E, row: 4553, expected_value: Total, label: employment type} + - {column: J, row: 4553, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4555 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4555, expected_value: E12000003, label: geography} + - {column: D, row: 4555, expected_value: All persons, label: sex} + - {column: E, row: 4555, expected_value: Total, label: employment type} + - {column: J, row: 4555, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4557 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4557, expected_value: E12000003, label: geography} + - {column: D, row: 4557, expected_value: All persons, label: sex} + - {column: E, row: 4557, expected_value: Total, label: employment type} + - {column: J, row: 4557, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4559 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4559, expected_value: E12000003, label: geography} + - {column: D, row: 4559, expected_value: All persons, label: sex} + - {column: E, row: 4559, expected_value: Total, label: employment type} + - {column: J, row: 4559, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4561 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4561, expected_value: E12000003, label: geography} + - {column: D, row: 4561, expected_value: All persons, label: sex} + - {column: E, row: 4561, expected_value: Total, label: employment type} + - {column: J, row: 4561, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4563 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4563, expected_value: E12000003, label: geography} + - {column: D, row: 4563, expected_value: All persons, label: sex} + - {column: E, row: 4563, expected_value: Total, label: employment type} + - {column: J, row: 4563, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4565 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4565, expected_value: E12000003, label: geography} + - {column: D, row: 4565, expected_value: All persons, label: sex} + - {column: E, row: 4565, expected_value: Total, label: employment type} + - {column: J, row: 4565, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4567 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4567, expected_value: E12000003, label: geography} + - {column: D, row: 4567, expected_value: All persons, label: sex} + - {column: E, row: 4567, expected_value: Total, label: employment type} + - {column: J, row: 4567, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4569 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4569, expected_value: E12000003, label: geography} + - {column: D, row: 4569, expected_value: All persons, label: sex} + - {column: E, row: 4569, expected_value: Total, label: employment type} + - {column: J, row: 4569, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4571 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4571, expected_value: E12000003, label: geography} + - {column: D, row: 4571, expected_value: All persons, label: sex} + - {column: E, row: 4571, expected_value: Total, label: employment type} + - {column: J, row: 4571, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4573 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4573, expected_value: E12000003, label: geography} + - {column: D, row: 4573, expected_value: All persons, label: sex} + - {column: E, row: 4573, expected_value: Total, label: employment type} + - {column: J, row: 4573, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4575 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4575, expected_value: E12000003, label: geography} + - {column: D, row: 4575, expected_value: All persons, label: sex} + - {column: E, row: 4575, expected_value: Total, label: employment type} + - {column: J, row: 4575, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4577 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4577, expected_value: E12000003, label: geography} + - {column: D, row: 4577, expected_value: All persons, label: sex} + - {column: E, row: 4577, expected_value: Total, label: employment type} + - {column: J, row: 4577, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4579 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4579, expected_value: E12000003, label: geography} + - {column: D, row: 4579, expected_value: All persons, label: sex} + - {column: E, row: 4579, expected_value: Total, label: employment type} + - {column: J, row: 4579, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4581 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4581, expected_value: E12000003, label: geography} + - {column: D, row: 4581, expected_value: All persons, label: sex} + - {column: E, row: 4581, expected_value: Total, label: employment type} + - {column: J, row: 4581, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4583 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4583, expected_value: E12000003, label: geography} + - {column: D, row: 4583, expected_value: All persons, label: sex} + - {column: E, row: 4583, expected_value: Total, label: employment type} + - {column: J, row: 4583, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4585 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4585, expected_value: E12000003, label: geography} + - {column: D, row: 4585, expected_value: All persons, label: sex} + - {column: E, row: 4585, expected_value: Total, label: employment type} + - {column: J, row: 4585, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4587 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4587, expected_value: E12000003, label: geography} + - {column: D, row: 4587, expected_value: All persons, label: sex} + - {column: E, row: 4587, expected_value: Total, label: employment type} + - {column: J, row: 4587, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4589 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4589, expected_value: E12000003, label: geography} + - {column: D, row: 4589, expected_value: All persons, label: sex} + - {column: E, row: 4589, expected_value: Total, label: employment type} + - {column: J, row: 4589, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4593 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4593, expected_value: E12000003, label: geography} + - {column: D, row: 4593, expected_value: All persons, label: sex} + - {column: E, row: 4593, expected_value: Total, label: employment type} + - {column: J, row: 4593, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4595 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4595, expected_value: E12000003, label: geography} + - {column: D, row: 4595, expected_value: All persons, label: sex} + - {column: E, row: 4595, expected_value: Total, label: employment type} + - {column: J, row: 4595, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4597 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4597, expected_value: E12000003, label: geography} + - {column: D, row: 4597, expected_value: All persons, label: sex} + - {column: E, row: 4597, expected_value: Total, label: employment type} + - {column: J, row: 4597, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4599 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4599, expected_value: E12000003, label: geography} + - {column: D, row: 4599, expected_value: All persons, label: sex} + - {column: E, row: 4599, expected_value: Total, label: employment type} + - {column: J, row: 4599, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4601 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4601, expected_value: E12000003, label: geography} + - {column: D, row: 4601, expected_value: All persons, label: sex} + - {column: E, row: 4601, expected_value: Total, label: employment type} + - {column: J, row: 4601, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4603 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4603, expected_value: E12000003, label: geography} + - {column: D, row: 4603, expected_value: All persons, label: sex} + - {column: E, row: 4603, expected_value: Total, label: employment type} + - {column: J, row: 4603, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4605 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4605, expected_value: E12000003, label: geography} + - {column: D, row: 4605, expected_value: All persons, label: sex} + - {column: E, row: 4605, expected_value: Total, label: employment type} + - {column: J, row: 4605, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4607 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4607, expected_value: E12000003, label: geography} + - {column: D, row: 4607, expected_value: All persons, label: sex} + - {column: E, row: 4607, expected_value: Total, label: employment type} + - {column: J, row: 4607, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4609 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4609, expected_value: E12000003, label: geography} + - {column: D, row: 4609, expected_value: All persons, label: sex} + - {column: E, row: 4609, expected_value: Total, label: employment type} + - {column: J, row: 4609, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4754 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4754, expected_value: E12000003, label: geography} + - {column: D, row: 4754, expected_value: All persons, label: sex} + - {column: E, row: 4754, expected_value: Employee, label: employment type} + - {column: J, row: 4754, expected_value: Value, label: measure} + - {column: L, row: 4755, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4756 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4756, expected_value: E12000003, label: geography} + - {column: D, row: 4756, expected_value: All persons, label: sex} + - {column: E, row: 4756, expected_value: Employee, label: employment type} + - {column: J, row: 4756, expected_value: Value, label: measure} + - {column: L, row: 4757, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4758 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4758, expected_value: E12000003, label: geography} + - {column: D, row: 4758, expected_value: All persons, label: sex} + - {column: E, row: 4758, expected_value: Employee, label: employment type} + - {column: J, row: 4758, expected_value: Value, label: measure} + - {column: L, row: 4759, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4760 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4760, expected_value: E12000003, label: geography} + - {column: D, row: 4760, expected_value: All persons, label: sex} + - {column: E, row: 4760, expected_value: Employee, label: employment type} + - {column: J, row: 4760, expected_value: Value, label: measure} + - {column: L, row: 4761, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4762 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4762, expected_value: E12000003, label: geography} + - {column: D, row: 4762, expected_value: All persons, label: sex} + - {column: E, row: 4762, expected_value: Employee, label: employment type} + - {column: J, row: 4762, expected_value: Value, label: measure} + - {column: L, row: 4763, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4764 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4764, expected_value: E12000003, label: geography} + - {column: D, row: 4764, expected_value: All persons, label: sex} + - {column: E, row: 4764, expected_value: Employee, label: employment type} + - {column: J, row: 4764, expected_value: Value, label: measure} + - {column: L, row: 4765, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4766 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4766, expected_value: E12000003, label: geography} + - {column: D, row: 4766, expected_value: All persons, label: sex} + - {column: E, row: 4766, expected_value: Employee, label: employment type} + - {column: J, row: 4766, expected_value: Value, label: measure} + - {column: L, row: 4767, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4768 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4768, expected_value: E12000003, label: geography} + - {column: D, row: 4768, expected_value: All persons, label: sex} + - {column: E, row: 4768, expected_value: Employee, label: employment type} + - {column: J, row: 4768, expected_value: Value, label: measure} + - {column: L, row: 4769, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4770 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4770, expected_value: E12000003, label: geography} + - {column: D, row: 4770, expected_value: All persons, label: sex} + - {column: E, row: 4770, expected_value: Employee, label: employment type} + - {column: J, row: 4770, expected_value: Value, label: measure} + - {column: L, row: 4771, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4772 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4772, expected_value: E12000003, label: geography} + - {column: D, row: 4772, expected_value: All persons, label: sex} + - {column: E, row: 4772, expected_value: Employee, label: employment type} + - {column: J, row: 4772, expected_value: Value, label: measure} + - {column: L, row: 4773, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4774 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4774, expected_value: E12000003, label: geography} + - {column: D, row: 4774, expected_value: All persons, label: sex} + - {column: E, row: 4774, expected_value: Employee, label: employment type} + - {column: J, row: 4774, expected_value: Value, label: measure} + - {column: L, row: 4775, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4776 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4776, expected_value: E12000003, label: geography} + - {column: D, row: 4776, expected_value: All persons, label: sex} + - {column: E, row: 4776, expected_value: Employee, label: employment type} + - {column: J, row: 4776, expected_value: Value, label: measure} + - {column: L, row: 4777, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4778 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4778, expected_value: E12000003, label: geography} + - {column: D, row: 4778, expected_value: All persons, label: sex} + - {column: E, row: 4778, expected_value: Employee, label: employment type} + - {column: J, row: 4778, expected_value: Value, label: measure} + - {column: L, row: 4779, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4780 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4780, expected_value: E12000003, label: geography} + - {column: D, row: 4780, expected_value: All persons, label: sex} + - {column: E, row: 4780, expected_value: Employee, label: employment type} + - {column: J, row: 4780, expected_value: Value, label: measure} + - {column: L, row: 4781, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4782 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4782, expected_value: E12000003, label: geography} + - {column: D, row: 4782, expected_value: All persons, label: sex} + - {column: E, row: 4782, expected_value: Employee, label: employment type} + - {column: J, row: 4782, expected_value: Value, label: measure} + - {column: L, row: 4783, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4784 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4784, expected_value: E12000003, label: geography} + - {column: D, row: 4784, expected_value: All persons, label: sex} + - {column: E, row: 4784, expected_value: Employee, label: employment type} + - {column: J, row: 4784, expected_value: Value, label: measure} + - {column: L, row: 4785, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4786 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4786, expected_value: E12000003, label: geography} + - {column: D, row: 4786, expected_value: All persons, label: sex} + - {column: E, row: 4786, expected_value: Employee, label: employment type} + - {column: J, row: 4786, expected_value: Value, label: measure} + - {column: L, row: 4787, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4788 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4788, expected_value: E12000003, label: geography} + - {column: D, row: 4788, expected_value: All persons, label: sex} + - {column: E, row: 4788, expected_value: Employee, label: employment type} + - {column: J, row: 4788, expected_value: Value, label: measure} + - {column: L, row: 4789, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4790 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4790, expected_value: E12000003, label: geography} + - {column: D, row: 4790, expected_value: All persons, label: sex} + - {column: E, row: 4790, expected_value: Employee, label: employment type} + - {column: J, row: 4790, expected_value: Value, label: measure} + - {column: L, row: 4791, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4792 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4792, expected_value: E12000003, label: geography} + - {column: D, row: 4792, expected_value: All persons, label: sex} + - {column: E, row: 4792, expected_value: Employee, label: employment type} + - {column: J, row: 4792, expected_value: Value, label: measure} + - {column: L, row: 4793, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4794 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4794, expected_value: E12000003, label: geography} + - {column: D, row: 4794, expected_value: All persons, label: sex} + - {column: E, row: 4794, expected_value: Employee, label: employment type} + - {column: J, row: 4794, expected_value: Value, label: measure} + - {column: L, row: 4795, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4796 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4796, expected_value: E12000003, label: geography} + - {column: D, row: 4796, expected_value: All persons, label: sex} + - {column: E, row: 4796, expected_value: Employee, label: employment type} + - {column: J, row: 4796, expected_value: Value, label: measure} + - {column: L, row: 4797, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4798 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4798, expected_value: E12000003, label: geography} + - {column: D, row: 4798, expected_value: All persons, label: sex} + - {column: E, row: 4798, expected_value: Employee, label: employment type} + - {column: J, row: 4798, expected_value: Value, label: measure} + - {column: L, row: 4799, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4800 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4800, expected_value: E12000003, label: geography} + - {column: D, row: 4800, expected_value: All persons, label: sex} + - {column: E, row: 4800, expected_value: Employee, label: employment type} + - {column: J, row: 4800, expected_value: Value, label: measure} + - {column: L, row: 4801, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4802 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4802, expected_value: E12000003, label: geography} + - {column: D, row: 4802, expected_value: All persons, label: sex} + - {column: E, row: 4802, expected_value: Employee, label: employment type} + - {column: J, row: 4802, expected_value: Value, label: measure} + - {column: L, row: 4803, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4804 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4804, expected_value: E12000003, label: geography} + - {column: D, row: 4804, expected_value: All persons, label: sex} + - {column: E, row: 4804, expected_value: Employee, label: employment type} + - {column: J, row: 4804, expected_value: Value, label: measure} + - {column: L, row: 4805, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4806 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4806, expected_value: E12000003, label: geography} + - {column: D, row: 4806, expected_value: All persons, label: sex} + - {column: E, row: 4806, expected_value: Employee, label: employment type} + - {column: J, row: 4806, expected_value: Value, label: measure} + - {column: L, row: 4807, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4808 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4808, expected_value: E12000003, label: geography} + - {column: D, row: 4808, expected_value: All persons, label: sex} + - {column: E, row: 4808, expected_value: Employee, label: employment type} + - {column: J, row: 4808, expected_value: Value, label: measure} + - {column: L, row: 4809, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4810 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4810, expected_value: E12000003, label: geography} + - {column: D, row: 4810, expected_value: All persons, label: sex} + - {column: E, row: 4810, expected_value: Employee, label: employment type} + - {column: J, row: 4810, expected_value: Value, label: measure} + - {column: L, row: 4811, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4812 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4812, expected_value: E12000003, label: geography} + - {column: D, row: 4812, expected_value: All persons, label: sex} + - {column: E, row: 4812, expected_value: Employee, label: employment type} + - {column: J, row: 4812, expected_value: Value, label: measure} + - {column: L, row: 4813, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4814 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4814, expected_value: E12000003, label: geography} + - {column: D, row: 4814, expected_value: All persons, label: sex} + - {column: E, row: 4814, expected_value: Employee, label: employment type} + - {column: J, row: 4814, expected_value: Value, label: measure} + - {column: L, row: 4815, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4816 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4816, expected_value: E12000003, label: geography} + - {column: D, row: 4816, expected_value: All persons, label: sex} + - {column: E, row: 4816, expected_value: Employee, label: employment type} + - {column: J, row: 4816, expected_value: Value, label: measure} + - {column: L, row: 4817, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4818 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4818, expected_value: E12000003, label: geography} + - {column: D, row: 4818, expected_value: All persons, label: sex} + - {column: E, row: 4818, expected_value: Employee, label: employment type} + - {column: J, row: 4818, expected_value: Value, label: measure} + - {column: L, row: 4819, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4820 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4820, expected_value: E12000003, label: geography} + - {column: D, row: 4820, expected_value: All persons, label: sex} + - {column: E, row: 4820, expected_value: Employee, label: employment type} + - {column: J, row: 4820, expected_value: Value, label: measure} + - {column: L, row: 4821, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4822 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4822, expected_value: E12000003, label: geography} + - {column: D, row: 4822, expected_value: All persons, label: sex} + - {column: E, row: 4822, expected_value: Employee, label: employment type} + - {column: J, row: 4822, expected_value: Value, label: measure} + - {column: L, row: 4823, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4824 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4824, expected_value: E12000003, label: geography} + - {column: D, row: 4824, expected_value: All persons, label: sex} + - {column: E, row: 4824, expected_value: Employee, label: employment type} + - {column: J, row: 4824, expected_value: Value, label: measure} + - {column: L, row: 4825, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4755 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4755, expected_value: E12000003, label: geography} + - {column: D, row: 4755, expected_value: All persons, label: sex} + - {column: E, row: 4755, expected_value: Employee, label: employment type} + - {column: J, row: 4755, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4757 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4757, expected_value: E12000003, label: geography} + - {column: D, row: 4757, expected_value: All persons, label: sex} + - {column: E, row: 4757, expected_value: Employee, label: employment type} + - {column: J, row: 4757, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4759 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4759, expected_value: E12000003, label: geography} + - {column: D, row: 4759, expected_value: All persons, label: sex} + - {column: E, row: 4759, expected_value: Employee, label: employment type} + - {column: J, row: 4759, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4761 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4761, expected_value: E12000003, label: geography} + - {column: D, row: 4761, expected_value: All persons, label: sex} + - {column: E, row: 4761, expected_value: Employee, label: employment type} + - {column: J, row: 4761, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4763 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4763, expected_value: E12000003, label: geography} + - {column: D, row: 4763, expected_value: All persons, label: sex} + - {column: E, row: 4763, expected_value: Employee, label: employment type} + - {column: J, row: 4763, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4765 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4765, expected_value: E12000003, label: geography} + - {column: D, row: 4765, expected_value: All persons, label: sex} + - {column: E, row: 4765, expected_value: Employee, label: employment type} + - {column: J, row: 4765, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4767 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4767, expected_value: E12000003, label: geography} + - {column: D, row: 4767, expected_value: All persons, label: sex} + - {column: E, row: 4767, expected_value: Employee, label: employment type} + - {column: J, row: 4767, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4769 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4769, expected_value: E12000003, label: geography} + - {column: D, row: 4769, expected_value: All persons, label: sex} + - {column: E, row: 4769, expected_value: Employee, label: employment type} + - {column: J, row: 4769, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4771 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4771, expected_value: E12000003, label: geography} + - {column: D, row: 4771, expected_value: All persons, label: sex} + - {column: E, row: 4771, expected_value: Employee, label: employment type} + - {column: J, row: 4771, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4773 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4773, expected_value: E12000003, label: geography} + - {column: D, row: 4773, expected_value: All persons, label: sex} + - {column: E, row: 4773, expected_value: Employee, label: employment type} + - {column: J, row: 4773, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4775 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4775, expected_value: E12000003, label: geography} + - {column: D, row: 4775, expected_value: All persons, label: sex} + - {column: E, row: 4775, expected_value: Employee, label: employment type} + - {column: J, row: 4775, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4777 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4777, expected_value: E12000003, label: geography} + - {column: D, row: 4777, expected_value: All persons, label: sex} + - {column: E, row: 4777, expected_value: Employee, label: employment type} + - {column: J, row: 4777, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4779 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4779, expected_value: E12000003, label: geography} + - {column: D, row: 4779, expected_value: All persons, label: sex} + - {column: E, row: 4779, expected_value: Employee, label: employment type} + - {column: J, row: 4779, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4781 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4781, expected_value: E12000003, label: geography} + - {column: D, row: 4781, expected_value: All persons, label: sex} + - {column: E, row: 4781, expected_value: Employee, label: employment type} + - {column: J, row: 4781, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4783 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4783, expected_value: E12000003, label: geography} + - {column: D, row: 4783, expected_value: All persons, label: sex} + - {column: E, row: 4783, expected_value: Employee, label: employment type} + - {column: J, row: 4783, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4785 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4785, expected_value: E12000003, label: geography} + - {column: D, row: 4785, expected_value: All persons, label: sex} + - {column: E, row: 4785, expected_value: Employee, label: employment type} + - {column: J, row: 4785, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4787 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4787, expected_value: E12000003, label: geography} + - {column: D, row: 4787, expected_value: All persons, label: sex} + - {column: E, row: 4787, expected_value: Employee, label: employment type} + - {column: J, row: 4787, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4789 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4789, expected_value: E12000003, label: geography} + - {column: D, row: 4789, expected_value: All persons, label: sex} + - {column: E, row: 4789, expected_value: Employee, label: employment type} + - {column: J, row: 4789, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4791 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4791, expected_value: E12000003, label: geography} + - {column: D, row: 4791, expected_value: All persons, label: sex} + - {column: E, row: 4791, expected_value: Employee, label: employment type} + - {column: J, row: 4791, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4793 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4793, expected_value: E12000003, label: geography} + - {column: D, row: 4793, expected_value: All persons, label: sex} + - {column: E, row: 4793, expected_value: Employee, label: employment type} + - {column: J, row: 4793, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4795 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4795, expected_value: E12000003, label: geography} + - {column: D, row: 4795, expected_value: All persons, label: sex} + - {column: E, row: 4795, expected_value: Employee, label: employment type} + - {column: J, row: 4795, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4797 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4797, expected_value: E12000003, label: geography} + - {column: D, row: 4797, expected_value: All persons, label: sex} + - {column: E, row: 4797, expected_value: Employee, label: employment type} + - {column: J, row: 4797, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4799 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4799, expected_value: E12000003, label: geography} + - {column: D, row: 4799, expected_value: All persons, label: sex} + - {column: E, row: 4799, expected_value: Employee, label: employment type} + - {column: J, row: 4799, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4801 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4801, expected_value: E12000003, label: geography} + - {column: D, row: 4801, expected_value: All persons, label: sex} + - {column: E, row: 4801, expected_value: Employee, label: employment type} + - {column: J, row: 4801, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4803 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4803, expected_value: E12000003, label: geography} + - {column: D, row: 4803, expected_value: All persons, label: sex} + - {column: E, row: 4803, expected_value: Employee, label: employment type} + - {column: J, row: 4803, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4805 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4805, expected_value: E12000003, label: geography} + - {column: D, row: 4805, expected_value: All persons, label: sex} + - {column: E, row: 4805, expected_value: Employee, label: employment type} + - {column: J, row: 4805, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4809 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4809, expected_value: E12000003, label: geography} + - {column: D, row: 4809, expected_value: All persons, label: sex} + - {column: E, row: 4809, expected_value: Employee, label: employment type} + - {column: J, row: 4809, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4811 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4811, expected_value: E12000003, label: geography} + - {column: D, row: 4811, expected_value: All persons, label: sex} + - {column: E, row: 4811, expected_value: Employee, label: employment type} + - {column: J, row: 4811, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4813 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4813, expected_value: E12000003, label: geography} + - {column: D, row: 4813, expected_value: All persons, label: sex} + - {column: E, row: 4813, expected_value: Employee, label: employment type} + - {column: J, row: 4813, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4815 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4815, expected_value: E12000003, label: geography} + - {column: D, row: 4815, expected_value: All persons, label: sex} + - {column: E, row: 4815, expected_value: Employee, label: employment type} + - {column: J, row: 4815, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4817 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4817, expected_value: E12000003, label: geography} + - {column: D, row: 4817, expected_value: All persons, label: sex} + - {column: E, row: 4817, expected_value: Employee, label: employment type} + - {column: J, row: 4817, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4819 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4819, expected_value: E12000003, label: geography} + - {column: D, row: 4819, expected_value: All persons, label: sex} + - {column: E, row: 4819, expected_value: Employee, label: employment type} + - {column: J, row: 4819, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4821 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4821, expected_value: E12000003, label: geography} + - {column: D, row: 4821, expected_value: All persons, label: sex} + - {column: E, row: 4821, expected_value: Employee, label: employment type} + - {column: J, row: 4821, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4823 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4823, expected_value: E12000003, label: geography} + - {column: D, row: 4823, expected_value: All persons, label: sex} + - {column: E, row: 4823, expected_value: Employee, label: employment type} + - {column: J, row: 4823, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4825 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4825, expected_value: E12000003, label: geography} + - {column: D, row: 4825, expected_value: All persons, label: sex} + - {column: E, row: 4825, expected_value: Employee, label: employment type} + - {column: J, row: 4825, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4970 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4970, expected_value: E12000003, label: geography} + - {column: D, row: 4970, expected_value: All persons, label: sex} + - {column: E, row: 4970, expected_value: Self-employed, label: employment type} + - {column: J, row: 4970, expected_value: Value, label: measure} + - {column: L, row: 4971, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4972 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4972, expected_value: E12000003, label: geography} + - {column: D, row: 4972, expected_value: All persons, label: sex} + - {column: E, row: 4972, expected_value: Self-employed, label: employment type} + - {column: J, row: 4972, expected_value: Value, label: measure} + - {column: L, row: 4973, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4974 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4974, expected_value: E12000003, label: geography} + - {column: D, row: 4974, expected_value: All persons, label: sex} + - {column: E, row: 4974, expected_value: Self-employed, label: employment type} + - {column: J, row: 4974, expected_value: Value, label: measure} + - {column: L, row: 4975, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4976 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4976, expected_value: E12000003, label: geography} + - {column: D, row: 4976, expected_value: All persons, label: sex} + - {column: E, row: 4976, expected_value: Self-employed, label: employment type} + - {column: J, row: 4976, expected_value: Value, label: measure} + - {column: L, row: 4977, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4978 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4978, expected_value: E12000003, label: geography} + - {column: D, row: 4978, expected_value: All persons, label: sex} + - {column: E, row: 4978, expected_value: Self-employed, label: employment type} + - {column: J, row: 4978, expected_value: Value, label: measure} + - {column: L, row: 4979, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4980 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4980, expected_value: E12000003, label: geography} + - {column: D, row: 4980, expected_value: All persons, label: sex} + - {column: E, row: 4980, expected_value: Self-employed, label: employment type} + - {column: J, row: 4980, expected_value: Value, label: measure} + - {column: L, row: 4981, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4982 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4982, expected_value: E12000003, label: geography} + - {column: D, row: 4982, expected_value: All persons, label: sex} + - {column: E, row: 4982, expected_value: Self-employed, label: employment type} + - {column: J, row: 4982, expected_value: Value, label: measure} + - {column: L, row: 4983, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4984 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4984, expected_value: E12000003, label: geography} + - {column: D, row: 4984, expected_value: All persons, label: sex} + - {column: E, row: 4984, expected_value: Self-employed, label: employment type} + - {column: J, row: 4984, expected_value: Value, label: measure} + - {column: L, row: 4985, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4986 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4986, expected_value: E12000003, label: geography} + - {column: D, row: 4986, expected_value: All persons, label: sex} + - {column: E, row: 4986, expected_value: Self-employed, label: employment type} + - {column: J, row: 4986, expected_value: Value, label: measure} + - {column: L, row: 4987, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4988 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4988, expected_value: E12000003, label: geography} + - {column: D, row: 4988, expected_value: All persons, label: sex} + - {column: E, row: 4988, expected_value: Self-employed, label: employment type} + - {column: J, row: 4988, expected_value: Value, label: measure} + - {column: L, row: 4989, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4990 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4990, expected_value: E12000003, label: geography} + - {column: D, row: 4990, expected_value: All persons, label: sex} + - {column: E, row: 4990, expected_value: Self-employed, label: employment type} + - {column: J, row: 4990, expected_value: Value, label: measure} + - {column: L, row: 4991, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4992 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4992, expected_value: E12000003, label: geography} + - {column: D, row: 4992, expected_value: All persons, label: sex} + - {column: E, row: 4992, expected_value: Self-employed, label: employment type} + - {column: J, row: 4992, expected_value: Value, label: measure} + - {column: L, row: 4993, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4996 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4996, expected_value: E12000003, label: geography} + - {column: D, row: 4996, expected_value: All persons, label: sex} + - {column: E, row: 4996, expected_value: Self-employed, label: employment type} + - {column: J, row: 4996, expected_value: Value, label: measure} + - {column: L, row: 4997, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4998 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4998, expected_value: E12000003, label: geography} + - {column: D, row: 4998, expected_value: All persons, label: sex} + - {column: E, row: 4998, expected_value: Self-employed, label: employment type} + - {column: J, row: 4998, expected_value: Value, label: measure} + - {column: L, row: 4999, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5000 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5000, expected_value: E12000003, label: geography} + - {column: D, row: 5000, expected_value: All persons, label: sex} + - {column: E, row: 5000, expected_value: Self-employed, label: employment type} + - {column: J, row: 5000, expected_value: Value, label: measure} + - {column: L, row: 5001, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5002 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5002, expected_value: E12000003, label: geography} + - {column: D, row: 5002, expected_value: All persons, label: sex} + - {column: E, row: 5002, expected_value: Self-employed, label: employment type} + - {column: J, row: 5002, expected_value: Value, label: measure} + - {column: L, row: 5003, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5004 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5004, expected_value: E12000003, label: geography} + - {column: D, row: 5004, expected_value: All persons, label: sex} + - {column: E, row: 5004, expected_value: Self-employed, label: employment type} + - {column: J, row: 5004, expected_value: Value, label: measure} + - {column: L, row: 5005, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5006 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5006, expected_value: E12000003, label: geography} + - {column: D, row: 5006, expected_value: All persons, label: sex} + - {column: E, row: 5006, expected_value: Self-employed, label: employment type} + - {column: J, row: 5006, expected_value: Value, label: measure} + - {column: L, row: 5007, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5008 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5008, expected_value: E12000003, label: geography} + - {column: D, row: 5008, expected_value: All persons, label: sex} + - {column: E, row: 5008, expected_value: Self-employed, label: employment type} + - {column: J, row: 5008, expected_value: Value, label: measure} + - {column: L, row: 5009, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5010 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5010, expected_value: E12000003, label: geography} + - {column: D, row: 5010, expected_value: All persons, label: sex} + - {column: E, row: 5010, expected_value: Self-employed, label: employment type} + - {column: J, row: 5010, expected_value: Value, label: measure} + - {column: L, row: 5011, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5012 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5012, expected_value: E12000003, label: geography} + - {column: D, row: 5012, expected_value: All persons, label: sex} + - {column: E, row: 5012, expected_value: Self-employed, label: employment type} + - {column: J, row: 5012, expected_value: Value, label: measure} + - {column: L, row: 5013, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5014 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5014, expected_value: E12000003, label: geography} + - {column: D, row: 5014, expected_value: All persons, label: sex} + - {column: E, row: 5014, expected_value: Self-employed, label: employment type} + - {column: J, row: 5014, expected_value: Value, label: measure} + - {column: L, row: 5015, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5016 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5016, expected_value: E12000003, label: geography} + - {column: D, row: 5016, expected_value: All persons, label: sex} + - {column: E, row: 5016, expected_value: Self-employed, label: employment type} + - {column: J, row: 5016, expected_value: Value, label: measure} + - {column: L, row: 5017, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5018 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5018, expected_value: E12000003, label: geography} + - {column: D, row: 5018, expected_value: All persons, label: sex} + - {column: E, row: 5018, expected_value: Self-employed, label: employment type} + - {column: J, row: 5018, expected_value: Value, label: measure} + - {column: L, row: 5019, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5020 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5020, expected_value: E12000003, label: geography} + - {column: D, row: 5020, expected_value: All persons, label: sex} + - {column: E, row: 5020, expected_value: Self-employed, label: employment type} + - {column: J, row: 5020, expected_value: Value, label: measure} + - {column: L, row: 5021, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5024 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5024, expected_value: E12000003, label: geography} + - {column: D, row: 5024, expected_value: All persons, label: sex} + - {column: E, row: 5024, expected_value: Self-employed, label: employment type} + - {column: J, row: 5024, expected_value: Value, label: measure} + - {column: L, row: 5025, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5026 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5026, expected_value: E12000003, label: geography} + - {column: D, row: 5026, expected_value: All persons, label: sex} + - {column: E, row: 5026, expected_value: Self-employed, label: employment type} + - {column: J, row: 5026, expected_value: Value, label: measure} + - {column: L, row: 5027, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5030 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5030, expected_value: E12000003, label: geography} + - {column: D, row: 5030, expected_value: All persons, label: sex} + - {column: E, row: 5030, expected_value: Self-employed, label: employment type} + - {column: J, row: 5030, expected_value: Value, label: measure} + - {column: L, row: 5031, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5032 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5032, expected_value: E12000003, label: geography} + - {column: D, row: 5032, expected_value: All persons, label: sex} + - {column: E, row: 5032, expected_value: Self-employed, label: employment type} + - {column: J, row: 5032, expected_value: Value, label: measure} + - {column: L, row: 5033, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5034 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5034, expected_value: E12000003, label: geography} + - {column: D, row: 5034, expected_value: All persons, label: sex} + - {column: E, row: 5034, expected_value: Self-employed, label: employment type} + - {column: J, row: 5034, expected_value: Value, label: measure} + - {column: L, row: 5035, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5036 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5036, expected_value: E12000003, label: geography} + - {column: D, row: 5036, expected_value: All persons, label: sex} + - {column: E, row: 5036, expected_value: Self-employed, label: employment type} + - {column: J, row: 5036, expected_value: Value, label: measure} + - {column: L, row: 5037, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5038 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5038, expected_value: E12000003, label: geography} + - {column: D, row: 5038, expected_value: All persons, label: sex} + - {column: E, row: 5038, expected_value: Self-employed, label: employment type} + - {column: J, row: 5038, expected_value: Value, label: measure} + - {column: L, row: 5039, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5040 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5040, expected_value: E12000003, label: geography} + - {column: D, row: 5040, expected_value: All persons, label: sex} + - {column: E, row: 5040, expected_value: Self-employed, label: employment type} + - {column: J, row: 5040, expected_value: Value, label: measure} + - {column: L, row: 5041, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4971 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4971, expected_value: E12000003, label: geography} + - {column: D, row: 4971, expected_value: All persons, label: sex} + - {column: E, row: 4971, expected_value: Self-employed, label: employment type} + - {column: J, row: 4971, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4973 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4973, expected_value: E12000003, label: geography} + - {column: D, row: 4973, expected_value: All persons, label: sex} + - {column: E, row: 4973, expected_value: Self-employed, label: employment type} + - {column: J, row: 4973, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4975 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4975, expected_value: E12000003, label: geography} + - {column: D, row: 4975, expected_value: All persons, label: sex} + - {column: E, row: 4975, expected_value: Self-employed, label: employment type} + - {column: J, row: 4975, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4977 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4977, expected_value: E12000003, label: geography} + - {column: D, row: 4977, expected_value: All persons, label: sex} + - {column: E, row: 4977, expected_value: Self-employed, label: employment type} + - {column: J, row: 4977, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4979 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4979, expected_value: E12000003, label: geography} + - {column: D, row: 4979, expected_value: All persons, label: sex} + - {column: E, row: 4979, expected_value: Self-employed, label: employment type} + - {column: J, row: 4979, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4981 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4981, expected_value: E12000003, label: geography} + - {column: D, row: 4981, expected_value: All persons, label: sex} + - {column: E, row: 4981, expected_value: Self-employed, label: employment type} + - {column: J, row: 4981, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4983 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4983, expected_value: E12000003, label: geography} + - {column: D, row: 4983, expected_value: All persons, label: sex} + - {column: E, row: 4983, expected_value: Self-employed, label: employment type} + - {column: J, row: 4983, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4985 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4985, expected_value: E12000003, label: geography} + - {column: D, row: 4985, expected_value: All persons, label: sex} + - {column: E, row: 4985, expected_value: Self-employed, label: employment type} + - {column: J, row: 4985, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4987 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4987, expected_value: E12000003, label: geography} + - {column: D, row: 4987, expected_value: All persons, label: sex} + - {column: E, row: 4987, expected_value: Self-employed, label: employment type} + - {column: J, row: 4987, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4989 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4989, expected_value: E12000003, label: geography} + - {column: D, row: 4989, expected_value: All persons, label: sex} + - {column: E, row: 4989, expected_value: Self-employed, label: employment type} + - {column: J, row: 4989, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4993 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4993, expected_value: E12000003, label: geography} + - {column: D, row: 4993, expected_value: All persons, label: sex} + - {column: E, row: 4993, expected_value: Self-employed, label: employment type} + - {column: J, row: 4993, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4997 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4997, expected_value: E12000003, label: geography} + - {column: D, row: 4997, expected_value: All persons, label: sex} + - {column: E, row: 4997, expected_value: Self-employed, label: employment type} + - {column: J, row: 4997, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4999 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4999, expected_value: E12000003, label: geography} + - {column: D, row: 4999, expected_value: All persons, label: sex} + - {column: E, row: 4999, expected_value: Self-employed, label: employment type} + - {column: J, row: 4999, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5001 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5001, expected_value: E12000003, label: geography} + - {column: D, row: 5001, expected_value: All persons, label: sex} + - {column: E, row: 5001, expected_value: Self-employed, label: employment type} + - {column: J, row: 5001, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5003 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5003, expected_value: E12000003, label: geography} + - {column: D, row: 5003, expected_value: All persons, label: sex} + - {column: E, row: 5003, expected_value: Self-employed, label: employment type} + - {column: J, row: 5003, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5007 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5007, expected_value: E12000003, label: geography} + - {column: D, row: 5007, expected_value: All persons, label: sex} + - {column: E, row: 5007, expected_value: Self-employed, label: employment type} + - {column: J, row: 5007, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5009 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5009, expected_value: E12000003, label: geography} + - {column: D, row: 5009, expected_value: All persons, label: sex} + - {column: E, row: 5009, expected_value: Self-employed, label: employment type} + - {column: J, row: 5009, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5011 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5011, expected_value: E12000003, label: geography} + - {column: D, row: 5011, expected_value: All persons, label: sex} + - {column: E, row: 5011, expected_value: Self-employed, label: employment type} + - {column: J, row: 5011, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5013 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5013, expected_value: E12000003, label: geography} + - {column: D, row: 5013, expected_value: All persons, label: sex} + - {column: E, row: 5013, expected_value: Self-employed, label: employment type} + - {column: J, row: 5013, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5015 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5015, expected_value: E12000003, label: geography} + - {column: D, row: 5015, expected_value: All persons, label: sex} + - {column: E, row: 5015, expected_value: Self-employed, label: employment type} + - {column: J, row: 5015, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5017 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5017, expected_value: E12000003, label: geography} + - {column: D, row: 5017, expected_value: All persons, label: sex} + - {column: E, row: 5017, expected_value: Self-employed, label: employment type} + - {column: J, row: 5017, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5019 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5019, expected_value: E12000003, label: geography} + - {column: D, row: 5019, expected_value: All persons, label: sex} + - {column: E, row: 5019, expected_value: Self-employed, label: employment type} + - {column: J, row: 5019, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5021 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5021, expected_value: E12000003, label: geography} + - {column: D, row: 5021, expected_value: All persons, label: sex} + - {column: E, row: 5021, expected_value: Self-employed, label: employment type} + - {column: J, row: 5021, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5025 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5025, expected_value: E12000003, label: geography} + - {column: D, row: 5025, expected_value: All persons, label: sex} + - {column: E, row: 5025, expected_value: Self-employed, label: employment type} + - {column: J, row: 5025, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5027 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5027, expected_value: E12000003, label: geography} + - {column: D, row: 5027, expected_value: All persons, label: sex} + - {column: E, row: 5027, expected_value: Self-employed, label: employment type} + - {column: J, row: 5027, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5031 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5031, expected_value: E12000003, label: geography} + - {column: D, row: 5031, expected_value: All persons, label: sex} + - {column: E, row: 5031, expected_value: Self-employed, label: employment type} + - {column: J, row: 5031, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5033 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5033, expected_value: E12000003, label: geography} + - {column: D, row: 5033, expected_value: All persons, label: sex} + - {column: E, row: 5033, expected_value: Self-employed, label: employment type} + - {column: J, row: 5033, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5035 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5035, expected_value: E12000003, label: geography} + - {column: D, row: 5035, expected_value: All persons, label: sex} + - {column: E, row: 5035, expected_value: Self-employed, label: employment type} + - {column: J, row: 5035, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5037 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5037, expected_value: E12000003, label: geography} + - {column: D, row: 5037, expected_value: All persons, label: sex} + - {column: E, row: 5037, expected_value: Self-employed, label: employment type} + - {column: J, row: 5037, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5039 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5039, expected_value: E12000003, label: geography} + - {column: D, row: 5039, expected_value: All persons, label: sex} + - {column: E, row: 5039, expected_value: Self-employed, label: employment type} + - {column: J, row: 5039, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5041 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5041, expected_value: E12000003, label: geography} + - {column: D, row: 5041, expected_value: All persons, label: sex} + - {column: E, row: 5041, expected_value: Self-employed, label: employment type} + - {column: J, row: 5041, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4610 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4610, expected_value: E12000003, label: geography} + - {column: D, row: 4610, expected_value: Males, label: sex} + - {column: E, row: 4610, expected_value: Total, label: employment type} + - {column: J, row: 4610, expected_value: Value, label: measure} + - {column: L, row: 4611, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4612 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4612, expected_value: E12000003, label: geography} + - {column: D, row: 4612, expected_value: Males, label: sex} + - {column: E, row: 4612, expected_value: Total, label: employment type} + - {column: J, row: 4612, expected_value: Value, label: measure} + - {column: L, row: 4613, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4614 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4614, expected_value: E12000003, label: geography} + - {column: D, row: 4614, expected_value: Males, label: sex} + - {column: E, row: 4614, expected_value: Total, label: employment type} + - {column: J, row: 4614, expected_value: Value, label: measure} + - {column: L, row: 4615, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4616 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4616, expected_value: E12000003, label: geography} + - {column: D, row: 4616, expected_value: Males, label: sex} + - {column: E, row: 4616, expected_value: Total, label: employment type} + - {column: J, row: 4616, expected_value: Value, label: measure} + - {column: L, row: 4617, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4618 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4618, expected_value: E12000003, label: geography} + - {column: D, row: 4618, expected_value: Males, label: sex} + - {column: E, row: 4618, expected_value: Total, label: employment type} + - {column: J, row: 4618, expected_value: Value, label: measure} + - {column: L, row: 4619, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4620 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4620, expected_value: E12000003, label: geography} + - {column: D, row: 4620, expected_value: Males, label: sex} + - {column: E, row: 4620, expected_value: Total, label: employment type} + - {column: J, row: 4620, expected_value: Value, label: measure} + - {column: L, row: 4621, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4622 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4622, expected_value: E12000003, label: geography} + - {column: D, row: 4622, expected_value: Males, label: sex} + - {column: E, row: 4622, expected_value: Total, label: employment type} + - {column: J, row: 4622, expected_value: Value, label: measure} + - {column: L, row: 4623, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4624 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4624, expected_value: E12000003, label: geography} + - {column: D, row: 4624, expected_value: Males, label: sex} + - {column: E, row: 4624, expected_value: Total, label: employment type} + - {column: J, row: 4624, expected_value: Value, label: measure} + - {column: L, row: 4625, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4626 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4626, expected_value: E12000003, label: geography} + - {column: D, row: 4626, expected_value: Males, label: sex} + - {column: E, row: 4626, expected_value: Total, label: employment type} + - {column: J, row: 4626, expected_value: Value, label: measure} + - {column: L, row: 4627, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4628 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4628, expected_value: E12000003, label: geography} + - {column: D, row: 4628, expected_value: Males, label: sex} + - {column: E, row: 4628, expected_value: Total, label: employment type} + - {column: J, row: 4628, expected_value: Value, label: measure} + - {column: L, row: 4629, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4630 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4630, expected_value: E12000003, label: geography} + - {column: D, row: 4630, expected_value: Males, label: sex} + - {column: E, row: 4630, expected_value: Total, label: employment type} + - {column: J, row: 4630, expected_value: Value, label: measure} + - {column: L, row: 4631, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4632 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4632, expected_value: E12000003, label: geography} + - {column: D, row: 4632, expected_value: Males, label: sex} + - {column: E, row: 4632, expected_value: Total, label: employment type} + - {column: J, row: 4632, expected_value: Value, label: measure} + - {column: L, row: 4633, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4634 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4634, expected_value: E12000003, label: geography} + - {column: D, row: 4634, expected_value: Males, label: sex} + - {column: E, row: 4634, expected_value: Total, label: employment type} + - {column: J, row: 4634, expected_value: Value, label: measure} + - {column: L, row: 4635, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4636 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4636, expected_value: E12000003, label: geography} + - {column: D, row: 4636, expected_value: Males, label: sex} + - {column: E, row: 4636, expected_value: Total, label: employment type} + - {column: J, row: 4636, expected_value: Value, label: measure} + - {column: L, row: 4637, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4638 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4638, expected_value: E12000003, label: geography} + - {column: D, row: 4638, expected_value: Males, label: sex} + - {column: E, row: 4638, expected_value: Total, label: employment type} + - {column: J, row: 4638, expected_value: Value, label: measure} + - {column: L, row: 4639, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4640 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4640, expected_value: E12000003, label: geography} + - {column: D, row: 4640, expected_value: Males, label: sex} + - {column: E, row: 4640, expected_value: Total, label: employment type} + - {column: J, row: 4640, expected_value: Value, label: measure} + - {column: L, row: 4641, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4642 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4642, expected_value: E12000003, label: geography} + - {column: D, row: 4642, expected_value: Males, label: sex} + - {column: E, row: 4642, expected_value: Total, label: employment type} + - {column: J, row: 4642, expected_value: Value, label: measure} + - {column: L, row: 4643, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4644 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4644, expected_value: E12000003, label: geography} + - {column: D, row: 4644, expected_value: Males, label: sex} + - {column: E, row: 4644, expected_value: Total, label: employment type} + - {column: J, row: 4644, expected_value: Value, label: measure} + - {column: L, row: 4645, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4646 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4646, expected_value: E12000003, label: geography} + - {column: D, row: 4646, expected_value: Males, label: sex} + - {column: E, row: 4646, expected_value: Total, label: employment type} + - {column: J, row: 4646, expected_value: Value, label: measure} + - {column: L, row: 4647, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4648 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4648, expected_value: E12000003, label: geography} + - {column: D, row: 4648, expected_value: Males, label: sex} + - {column: E, row: 4648, expected_value: Total, label: employment type} + - {column: J, row: 4648, expected_value: Value, label: measure} + - {column: L, row: 4649, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4650 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4650, expected_value: E12000003, label: geography} + - {column: D, row: 4650, expected_value: Males, label: sex} + - {column: E, row: 4650, expected_value: Total, label: employment type} + - {column: J, row: 4650, expected_value: Value, label: measure} + - {column: L, row: 4651, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4652 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4652, expected_value: E12000003, label: geography} + - {column: D, row: 4652, expected_value: Males, label: sex} + - {column: E, row: 4652, expected_value: Total, label: employment type} + - {column: J, row: 4652, expected_value: Value, label: measure} + - {column: L, row: 4653, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4654 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4654, expected_value: E12000003, label: geography} + - {column: D, row: 4654, expected_value: Males, label: sex} + - {column: E, row: 4654, expected_value: Total, label: employment type} + - {column: J, row: 4654, expected_value: Value, label: measure} + - {column: L, row: 4655, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4656 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4656, expected_value: E12000003, label: geography} + - {column: D, row: 4656, expected_value: Males, label: sex} + - {column: E, row: 4656, expected_value: Total, label: employment type} + - {column: J, row: 4656, expected_value: Value, label: measure} + - {column: L, row: 4657, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4658 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4658, expected_value: E12000003, label: geography} + - {column: D, row: 4658, expected_value: Males, label: sex} + - {column: E, row: 4658, expected_value: Total, label: employment type} + - {column: J, row: 4658, expected_value: Value, label: measure} + - {column: L, row: 4659, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4660 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4660, expected_value: E12000003, label: geography} + - {column: D, row: 4660, expected_value: Males, label: sex} + - {column: E, row: 4660, expected_value: Total, label: employment type} + - {column: J, row: 4660, expected_value: Value, label: measure} + - {column: L, row: 4661, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4662 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4662, expected_value: E12000003, label: geography} + - {column: D, row: 4662, expected_value: Males, label: sex} + - {column: E, row: 4662, expected_value: Total, label: employment type} + - {column: J, row: 4662, expected_value: Value, label: measure} + - {column: L, row: 4663, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4664 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4664, expected_value: E12000003, label: geography} + - {column: D, row: 4664, expected_value: Males, label: sex} + - {column: E, row: 4664, expected_value: Total, label: employment type} + - {column: J, row: 4664, expected_value: Value, label: measure} + - {column: L, row: 4665, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4666 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4666, expected_value: E12000003, label: geography} + - {column: D, row: 4666, expected_value: Males, label: sex} + - {column: E, row: 4666, expected_value: Total, label: employment type} + - {column: J, row: 4666, expected_value: Value, label: measure} + - {column: L, row: 4667, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4668 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4668, expected_value: E12000003, label: geography} + - {column: D, row: 4668, expected_value: Males, label: sex} + - {column: E, row: 4668, expected_value: Total, label: employment type} + - {column: J, row: 4668, expected_value: Value, label: measure} + - {column: L, row: 4669, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4670 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4670, expected_value: E12000003, label: geography} + - {column: D, row: 4670, expected_value: Males, label: sex} + - {column: E, row: 4670, expected_value: Total, label: employment type} + - {column: J, row: 4670, expected_value: Value, label: measure} + - {column: L, row: 4671, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4672 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4672, expected_value: E12000003, label: geography} + - {column: D, row: 4672, expected_value: Males, label: sex} + - {column: E, row: 4672, expected_value: Total, label: employment type} + - {column: J, row: 4672, expected_value: Value, label: measure} + - {column: L, row: 4673, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4674 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4674, expected_value: E12000003, label: geography} + - {column: D, row: 4674, expected_value: Males, label: sex} + - {column: E, row: 4674, expected_value: Total, label: employment type} + - {column: J, row: 4674, expected_value: Value, label: measure} + - {column: L, row: 4675, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4676 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4676, expected_value: E12000003, label: geography} + - {column: D, row: 4676, expected_value: Males, label: sex} + - {column: E, row: 4676, expected_value: Total, label: employment type} + - {column: J, row: 4676, expected_value: Value, label: measure} + - {column: L, row: 4677, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4678 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4678, expected_value: E12000003, label: geography} + - {column: D, row: 4678, expected_value: Males, label: sex} + - {column: E, row: 4678, expected_value: Total, label: employment type} + - {column: J, row: 4678, expected_value: Value, label: measure} + - {column: L, row: 4679, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4680 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4680, expected_value: E12000003, label: geography} + - {column: D, row: 4680, expected_value: Males, label: sex} + - {column: E, row: 4680, expected_value: Total, label: employment type} + - {column: J, row: 4680, expected_value: Value, label: measure} + - {column: L, row: 4681, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4611 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4611, expected_value: E12000003, label: geography} + - {column: D, row: 4611, expected_value: Males, label: sex} + - {column: E, row: 4611, expected_value: Total, label: employment type} + - {column: J, row: 4611, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4613 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4613, expected_value: E12000003, label: geography} + - {column: D, row: 4613, expected_value: Males, label: sex} + - {column: E, row: 4613, expected_value: Total, label: employment type} + - {column: J, row: 4613, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4615 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4615, expected_value: E12000003, label: geography} + - {column: D, row: 4615, expected_value: Males, label: sex} + - {column: E, row: 4615, expected_value: Total, label: employment type} + - {column: J, row: 4615, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4617 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4617, expected_value: E12000003, label: geography} + - {column: D, row: 4617, expected_value: Males, label: sex} + - {column: E, row: 4617, expected_value: Total, label: employment type} + - {column: J, row: 4617, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4619 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4619, expected_value: E12000003, label: geography} + - {column: D, row: 4619, expected_value: Males, label: sex} + - {column: E, row: 4619, expected_value: Total, label: employment type} + - {column: J, row: 4619, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4621 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4621, expected_value: E12000003, label: geography} + - {column: D, row: 4621, expected_value: Males, label: sex} + - {column: E, row: 4621, expected_value: Total, label: employment type} + - {column: J, row: 4621, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4623 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4623, expected_value: E12000003, label: geography} + - {column: D, row: 4623, expected_value: Males, label: sex} + - {column: E, row: 4623, expected_value: Total, label: employment type} + - {column: J, row: 4623, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4625 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4625, expected_value: E12000003, label: geography} + - {column: D, row: 4625, expected_value: Males, label: sex} + - {column: E, row: 4625, expected_value: Total, label: employment type} + - {column: J, row: 4625, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4627 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4627, expected_value: E12000003, label: geography} + - {column: D, row: 4627, expected_value: Males, label: sex} + - {column: E, row: 4627, expected_value: Total, label: employment type} + - {column: J, row: 4627, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4629 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4629, expected_value: E12000003, label: geography} + - {column: D, row: 4629, expected_value: Males, label: sex} + - {column: E, row: 4629, expected_value: Total, label: employment type} + - {column: J, row: 4629, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4631 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4631, expected_value: E12000003, label: geography} + - {column: D, row: 4631, expected_value: Males, label: sex} + - {column: E, row: 4631, expected_value: Total, label: employment type} + - {column: J, row: 4631, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4633 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4633, expected_value: E12000003, label: geography} + - {column: D, row: 4633, expected_value: Males, label: sex} + - {column: E, row: 4633, expected_value: Total, label: employment type} + - {column: J, row: 4633, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4635 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4635, expected_value: E12000003, label: geography} + - {column: D, row: 4635, expected_value: Males, label: sex} + - {column: E, row: 4635, expected_value: Total, label: employment type} + - {column: J, row: 4635, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4637 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4637, expected_value: E12000003, label: geography} + - {column: D, row: 4637, expected_value: Males, label: sex} + - {column: E, row: 4637, expected_value: Total, label: employment type} + - {column: J, row: 4637, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4639 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4639, expected_value: E12000003, label: geography} + - {column: D, row: 4639, expected_value: Males, label: sex} + - {column: E, row: 4639, expected_value: Total, label: employment type} + - {column: J, row: 4639, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4641 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4641, expected_value: E12000003, label: geography} + - {column: D, row: 4641, expected_value: Males, label: sex} + - {column: E, row: 4641, expected_value: Total, label: employment type} + - {column: J, row: 4641, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4643 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4643, expected_value: E12000003, label: geography} + - {column: D, row: 4643, expected_value: Males, label: sex} + - {column: E, row: 4643, expected_value: Total, label: employment type} + - {column: J, row: 4643, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4647 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4647, expected_value: E12000003, label: geography} + - {column: D, row: 4647, expected_value: Males, label: sex} + - {column: E, row: 4647, expected_value: Total, label: employment type} + - {column: J, row: 4647, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4649 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4649, expected_value: E12000003, label: geography} + - {column: D, row: 4649, expected_value: Males, label: sex} + - {column: E, row: 4649, expected_value: Total, label: employment type} + - {column: J, row: 4649, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4651 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4651, expected_value: E12000003, label: geography} + - {column: D, row: 4651, expected_value: Males, label: sex} + - {column: E, row: 4651, expected_value: Total, label: employment type} + - {column: J, row: 4651, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4653 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4653, expected_value: E12000003, label: geography} + - {column: D, row: 4653, expected_value: Males, label: sex} + - {column: E, row: 4653, expected_value: Total, label: employment type} + - {column: J, row: 4653, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4655 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4655, expected_value: E12000003, label: geography} + - {column: D, row: 4655, expected_value: Males, label: sex} + - {column: E, row: 4655, expected_value: Total, label: employment type} + - {column: J, row: 4655, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4657 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4657, expected_value: E12000003, label: geography} + - {column: D, row: 4657, expected_value: Males, label: sex} + - {column: E, row: 4657, expected_value: Total, label: employment type} + - {column: J, row: 4657, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4659 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4659, expected_value: E12000003, label: geography} + - {column: D, row: 4659, expected_value: Males, label: sex} + - {column: E, row: 4659, expected_value: Total, label: employment type} + - {column: J, row: 4659, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4661 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4661, expected_value: E12000003, label: geography} + - {column: D, row: 4661, expected_value: Males, label: sex} + - {column: E, row: 4661, expected_value: Total, label: employment type} + - {column: J, row: 4661, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4665 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4665, expected_value: E12000003, label: geography} + - {column: D, row: 4665, expected_value: Males, label: sex} + - {column: E, row: 4665, expected_value: Total, label: employment type} + - {column: J, row: 4665, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4667 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4667, expected_value: E12000003, label: geography} + - {column: D, row: 4667, expected_value: Males, label: sex} + - {column: E, row: 4667, expected_value: Total, label: employment type} + - {column: J, row: 4667, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4669 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4669, expected_value: E12000003, label: geography} + - {column: D, row: 4669, expected_value: Males, label: sex} + - {column: E, row: 4669, expected_value: Total, label: employment type} + - {column: J, row: 4669, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4671 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4671, expected_value: E12000003, label: geography} + - {column: D, row: 4671, expected_value: Males, label: sex} + - {column: E, row: 4671, expected_value: Total, label: employment type} + - {column: J, row: 4671, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4673 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4673, expected_value: E12000003, label: geography} + - {column: D, row: 4673, expected_value: Males, label: sex} + - {column: E, row: 4673, expected_value: Total, label: employment type} + - {column: J, row: 4673, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4675 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4675, expected_value: E12000003, label: geography} + - {column: D, row: 4675, expected_value: Males, label: sex} + - {column: E, row: 4675, expected_value: Total, label: employment type} + - {column: J, row: 4675, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4677 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4677, expected_value: E12000003, label: geography} + - {column: D, row: 4677, expected_value: Males, label: sex} + - {column: E, row: 4677, expected_value: Total, label: employment type} + - {column: J, row: 4677, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4679 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4679, expected_value: E12000003, label: geography} + - {column: D, row: 4679, expected_value: Males, label: sex} + - {column: E, row: 4679, expected_value: Total, label: employment type} + - {column: J, row: 4679, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4681 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4681, expected_value: E12000003, label: geography} + - {column: D, row: 4681, expected_value: Males, label: sex} + - {column: E, row: 4681, expected_value: Total, label: employment type} + - {column: J, row: 4681, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4826 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4826, expected_value: E12000003, label: geography} + - {column: D, row: 4826, expected_value: Males, label: sex} + - {column: E, row: 4826, expected_value: Employee, label: employment type} + - {column: J, row: 4826, expected_value: Value, label: measure} + - {column: L, row: 4827, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4828 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4828, expected_value: E12000003, label: geography} + - {column: D, row: 4828, expected_value: Males, label: sex} + - {column: E, row: 4828, expected_value: Employee, label: employment type} + - {column: J, row: 4828, expected_value: Value, label: measure} + - {column: L, row: 4829, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4830 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4830, expected_value: E12000003, label: geography} + - {column: D, row: 4830, expected_value: Males, label: sex} + - {column: E, row: 4830, expected_value: Employee, label: employment type} + - {column: J, row: 4830, expected_value: Value, label: measure} + - {column: L, row: 4831, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4832 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4832, expected_value: E12000003, label: geography} + - {column: D, row: 4832, expected_value: Males, label: sex} + - {column: E, row: 4832, expected_value: Employee, label: employment type} + - {column: J, row: 4832, expected_value: Value, label: measure} + - {column: L, row: 4833, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4834 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4834, expected_value: E12000003, label: geography} + - {column: D, row: 4834, expected_value: Males, label: sex} + - {column: E, row: 4834, expected_value: Employee, label: employment type} + - {column: J, row: 4834, expected_value: Value, label: measure} + - {column: L, row: 4835, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4836 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4836, expected_value: E12000003, label: geography} + - {column: D, row: 4836, expected_value: Males, label: sex} + - {column: E, row: 4836, expected_value: Employee, label: employment type} + - {column: J, row: 4836, expected_value: Value, label: measure} + - {column: L, row: 4837, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4838 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4838, expected_value: E12000003, label: geography} + - {column: D, row: 4838, expected_value: Males, label: sex} + - {column: E, row: 4838, expected_value: Employee, label: employment type} + - {column: J, row: 4838, expected_value: Value, label: measure} + - {column: L, row: 4839, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4840 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4840, expected_value: E12000003, label: geography} + - {column: D, row: 4840, expected_value: Males, label: sex} + - {column: E, row: 4840, expected_value: Employee, label: employment type} + - {column: J, row: 4840, expected_value: Value, label: measure} + - {column: L, row: 4841, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4842 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4842, expected_value: E12000003, label: geography} + - {column: D, row: 4842, expected_value: Males, label: sex} + - {column: E, row: 4842, expected_value: Employee, label: employment type} + - {column: J, row: 4842, expected_value: Value, label: measure} + - {column: L, row: 4843, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4844 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4844, expected_value: E12000003, label: geography} + - {column: D, row: 4844, expected_value: Males, label: sex} + - {column: E, row: 4844, expected_value: Employee, label: employment type} + - {column: J, row: 4844, expected_value: Value, label: measure} + - {column: L, row: 4845, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4846 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4846, expected_value: E12000003, label: geography} + - {column: D, row: 4846, expected_value: Males, label: sex} + - {column: E, row: 4846, expected_value: Employee, label: employment type} + - {column: J, row: 4846, expected_value: Value, label: measure} + - {column: L, row: 4847, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4848 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4848, expected_value: E12000003, label: geography} + - {column: D, row: 4848, expected_value: Males, label: sex} + - {column: E, row: 4848, expected_value: Employee, label: employment type} + - {column: J, row: 4848, expected_value: Value, label: measure} + - {column: L, row: 4849, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4850 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4850, expected_value: E12000003, label: geography} + - {column: D, row: 4850, expected_value: Males, label: sex} + - {column: E, row: 4850, expected_value: Employee, label: employment type} + - {column: J, row: 4850, expected_value: Value, label: measure} + - {column: L, row: 4851, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4852 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4852, expected_value: E12000003, label: geography} + - {column: D, row: 4852, expected_value: Males, label: sex} + - {column: E, row: 4852, expected_value: Employee, label: employment type} + - {column: J, row: 4852, expected_value: Value, label: measure} + - {column: L, row: 4853, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4854 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4854, expected_value: E12000003, label: geography} + - {column: D, row: 4854, expected_value: Males, label: sex} + - {column: E, row: 4854, expected_value: Employee, label: employment type} + - {column: J, row: 4854, expected_value: Value, label: measure} + - {column: L, row: 4855, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4856 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4856, expected_value: E12000003, label: geography} + - {column: D, row: 4856, expected_value: Males, label: sex} + - {column: E, row: 4856, expected_value: Employee, label: employment type} + - {column: J, row: 4856, expected_value: Value, label: measure} + - {column: L, row: 4857, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4858 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4858, expected_value: E12000003, label: geography} + - {column: D, row: 4858, expected_value: Males, label: sex} + - {column: E, row: 4858, expected_value: Employee, label: employment type} + - {column: J, row: 4858, expected_value: Value, label: measure} + - {column: L, row: 4859, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4860 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4860, expected_value: E12000003, label: geography} + - {column: D, row: 4860, expected_value: Males, label: sex} + - {column: E, row: 4860, expected_value: Employee, label: employment type} + - {column: J, row: 4860, expected_value: Value, label: measure} + - {column: L, row: 4861, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4862 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4862, expected_value: E12000003, label: geography} + - {column: D, row: 4862, expected_value: Males, label: sex} + - {column: E, row: 4862, expected_value: Employee, label: employment type} + - {column: J, row: 4862, expected_value: Value, label: measure} + - {column: L, row: 4863, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4864 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4864, expected_value: E12000003, label: geography} + - {column: D, row: 4864, expected_value: Males, label: sex} + - {column: E, row: 4864, expected_value: Employee, label: employment type} + - {column: J, row: 4864, expected_value: Value, label: measure} + - {column: L, row: 4865, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4866 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4866, expected_value: E12000003, label: geography} + - {column: D, row: 4866, expected_value: Males, label: sex} + - {column: E, row: 4866, expected_value: Employee, label: employment type} + - {column: J, row: 4866, expected_value: Value, label: measure} + - {column: L, row: 4867, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4868 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4868, expected_value: E12000003, label: geography} + - {column: D, row: 4868, expected_value: Males, label: sex} + - {column: E, row: 4868, expected_value: Employee, label: employment type} + - {column: J, row: 4868, expected_value: Value, label: measure} + - {column: L, row: 4869, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4870 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4870, expected_value: E12000003, label: geography} + - {column: D, row: 4870, expected_value: Males, label: sex} + - {column: E, row: 4870, expected_value: Employee, label: employment type} + - {column: J, row: 4870, expected_value: Value, label: measure} + - {column: L, row: 4871, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4872 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4872, expected_value: E12000003, label: geography} + - {column: D, row: 4872, expected_value: Males, label: sex} + - {column: E, row: 4872, expected_value: Employee, label: employment type} + - {column: J, row: 4872, expected_value: Value, label: measure} + - {column: L, row: 4873, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4874 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4874, expected_value: E12000003, label: geography} + - {column: D, row: 4874, expected_value: Males, label: sex} + - {column: E, row: 4874, expected_value: Employee, label: employment type} + - {column: J, row: 4874, expected_value: Value, label: measure} + - {column: L, row: 4875, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4876 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4876, expected_value: E12000003, label: geography} + - {column: D, row: 4876, expected_value: Males, label: sex} + - {column: E, row: 4876, expected_value: Employee, label: employment type} + - {column: J, row: 4876, expected_value: Value, label: measure} + - {column: L, row: 4877, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4878 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4878, expected_value: E12000003, label: geography} + - {column: D, row: 4878, expected_value: Males, label: sex} + - {column: E, row: 4878, expected_value: Employee, label: employment type} + - {column: J, row: 4878, expected_value: Value, label: measure} + - {column: L, row: 4879, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4880 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4880, expected_value: E12000003, label: geography} + - {column: D, row: 4880, expected_value: Males, label: sex} + - {column: E, row: 4880, expected_value: Employee, label: employment type} + - {column: J, row: 4880, expected_value: Value, label: measure} + - {column: L, row: 4881, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4882 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4882, expected_value: E12000003, label: geography} + - {column: D, row: 4882, expected_value: Males, label: sex} + - {column: E, row: 4882, expected_value: Employee, label: employment type} + - {column: J, row: 4882, expected_value: Value, label: measure} + - {column: L, row: 4883, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4884 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4884, expected_value: E12000003, label: geography} + - {column: D, row: 4884, expected_value: Males, label: sex} + - {column: E, row: 4884, expected_value: Employee, label: employment type} + - {column: J, row: 4884, expected_value: Value, label: measure} + - {column: L, row: 4885, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4886 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4886, expected_value: E12000003, label: geography} + - {column: D, row: 4886, expected_value: Males, label: sex} + - {column: E, row: 4886, expected_value: Employee, label: employment type} + - {column: J, row: 4886, expected_value: Value, label: measure} + - {column: L, row: 4887, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4888 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4888, expected_value: E12000003, label: geography} + - {column: D, row: 4888, expected_value: Males, label: sex} + - {column: E, row: 4888, expected_value: Employee, label: employment type} + - {column: J, row: 4888, expected_value: Value, label: measure} + - {column: L, row: 4889, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4890 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4890, expected_value: E12000003, label: geography} + - {column: D, row: 4890, expected_value: Males, label: sex} + - {column: E, row: 4890, expected_value: Employee, label: employment type} + - {column: J, row: 4890, expected_value: Value, label: measure} + - {column: L, row: 4891, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4892 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4892, expected_value: E12000003, label: geography} + - {column: D, row: 4892, expected_value: Males, label: sex} + - {column: E, row: 4892, expected_value: Employee, label: employment type} + - {column: J, row: 4892, expected_value: Value, label: measure} + - {column: L, row: 4893, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4894 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4894, expected_value: E12000003, label: geography} + - {column: D, row: 4894, expected_value: Males, label: sex} + - {column: E, row: 4894, expected_value: Employee, label: employment type} + - {column: J, row: 4894, expected_value: Value, label: measure} + - {column: L, row: 4895, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4896 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4896, expected_value: E12000003, label: geography} + - {column: D, row: 4896, expected_value: Males, label: sex} + - {column: E, row: 4896, expected_value: Employee, label: employment type} + - {column: J, row: 4896, expected_value: Value, label: measure} + - {column: L, row: 4897, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4827 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4827, expected_value: E12000003, label: geography} + - {column: D, row: 4827, expected_value: Males, label: sex} + - {column: E, row: 4827, expected_value: Employee, label: employment type} + - {column: J, row: 4827, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4829 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4829, expected_value: E12000003, label: geography} + - {column: D, row: 4829, expected_value: Males, label: sex} + - {column: E, row: 4829, expected_value: Employee, label: employment type} + - {column: J, row: 4829, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4831 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4831, expected_value: E12000003, label: geography} + - {column: D, row: 4831, expected_value: Males, label: sex} + - {column: E, row: 4831, expected_value: Employee, label: employment type} + - {column: J, row: 4831, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4833 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4833, expected_value: E12000003, label: geography} + - {column: D, row: 4833, expected_value: Males, label: sex} + - {column: E, row: 4833, expected_value: Employee, label: employment type} + - {column: J, row: 4833, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4835 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4835, expected_value: E12000003, label: geography} + - {column: D, row: 4835, expected_value: Males, label: sex} + - {column: E, row: 4835, expected_value: Employee, label: employment type} + - {column: J, row: 4835, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4837 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4837, expected_value: E12000003, label: geography} + - {column: D, row: 4837, expected_value: Males, label: sex} + - {column: E, row: 4837, expected_value: Employee, label: employment type} + - {column: J, row: 4837, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4839 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4839, expected_value: E12000003, label: geography} + - {column: D, row: 4839, expected_value: Males, label: sex} + - {column: E, row: 4839, expected_value: Employee, label: employment type} + - {column: J, row: 4839, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4841 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4841, expected_value: E12000003, label: geography} + - {column: D, row: 4841, expected_value: Males, label: sex} + - {column: E, row: 4841, expected_value: Employee, label: employment type} + - {column: J, row: 4841, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4843 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4843, expected_value: E12000003, label: geography} + - {column: D, row: 4843, expected_value: Males, label: sex} + - {column: E, row: 4843, expected_value: Employee, label: employment type} + - {column: J, row: 4843, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4845 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4845, expected_value: E12000003, label: geography} + - {column: D, row: 4845, expected_value: Males, label: sex} + - {column: E, row: 4845, expected_value: Employee, label: employment type} + - {column: J, row: 4845, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4847 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4847, expected_value: E12000003, label: geography} + - {column: D, row: 4847, expected_value: Males, label: sex} + - {column: E, row: 4847, expected_value: Employee, label: employment type} + - {column: J, row: 4847, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4849 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4849, expected_value: E12000003, label: geography} + - {column: D, row: 4849, expected_value: Males, label: sex} + - {column: E, row: 4849, expected_value: Employee, label: employment type} + - {column: J, row: 4849, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4851 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4851, expected_value: E12000003, label: geography} + - {column: D, row: 4851, expected_value: Males, label: sex} + - {column: E, row: 4851, expected_value: Employee, label: employment type} + - {column: J, row: 4851, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4853 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4853, expected_value: E12000003, label: geography} + - {column: D, row: 4853, expected_value: Males, label: sex} + - {column: E, row: 4853, expected_value: Employee, label: employment type} + - {column: J, row: 4853, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4855 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4855, expected_value: E12000003, label: geography} + - {column: D, row: 4855, expected_value: Males, label: sex} + - {column: E, row: 4855, expected_value: Employee, label: employment type} + - {column: J, row: 4855, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4857 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4857, expected_value: E12000003, label: geography} + - {column: D, row: 4857, expected_value: Males, label: sex} + - {column: E, row: 4857, expected_value: Employee, label: employment type} + - {column: J, row: 4857, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4859 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4859, expected_value: E12000003, label: geography} + - {column: D, row: 4859, expected_value: Males, label: sex} + - {column: E, row: 4859, expected_value: Employee, label: employment type} + - {column: J, row: 4859, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4863 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4863, expected_value: E12000003, label: geography} + - {column: D, row: 4863, expected_value: Males, label: sex} + - {column: E, row: 4863, expected_value: Employee, label: employment type} + - {column: J, row: 4863, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4865 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4865, expected_value: E12000003, label: geography} + - {column: D, row: 4865, expected_value: Males, label: sex} + - {column: E, row: 4865, expected_value: Employee, label: employment type} + - {column: J, row: 4865, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4867 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4867, expected_value: E12000003, label: geography} + - {column: D, row: 4867, expected_value: Males, label: sex} + - {column: E, row: 4867, expected_value: Employee, label: employment type} + - {column: J, row: 4867, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4869 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4869, expected_value: E12000003, label: geography} + - {column: D, row: 4869, expected_value: Males, label: sex} + - {column: E, row: 4869, expected_value: Employee, label: employment type} + - {column: J, row: 4869, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4871 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4871, expected_value: E12000003, label: geography} + - {column: D, row: 4871, expected_value: Males, label: sex} + - {column: E, row: 4871, expected_value: Employee, label: employment type} + - {column: J, row: 4871, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4873 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4873, expected_value: E12000003, label: geography} + - {column: D, row: 4873, expected_value: Males, label: sex} + - {column: E, row: 4873, expected_value: Employee, label: employment type} + - {column: J, row: 4873, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4875 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4875, expected_value: E12000003, label: geography} + - {column: D, row: 4875, expected_value: Males, label: sex} + - {column: E, row: 4875, expected_value: Employee, label: employment type} + - {column: J, row: 4875, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4877 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4877, expected_value: E12000003, label: geography} + - {column: D, row: 4877, expected_value: Males, label: sex} + - {column: E, row: 4877, expected_value: Employee, label: employment type} + - {column: J, row: 4877, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4881 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4881, expected_value: E12000003, label: geography} + - {column: D, row: 4881, expected_value: Males, label: sex} + - {column: E, row: 4881, expected_value: Employee, label: employment type} + - {column: J, row: 4881, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4883 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4883, expected_value: E12000003, label: geography} + - {column: D, row: 4883, expected_value: Males, label: sex} + - {column: E, row: 4883, expected_value: Employee, label: employment type} + - {column: J, row: 4883, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4885 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4885, expected_value: E12000003, label: geography} + - {column: D, row: 4885, expected_value: Males, label: sex} + - {column: E, row: 4885, expected_value: Employee, label: employment type} + - {column: J, row: 4885, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4887 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4887, expected_value: E12000003, label: geography} + - {column: D, row: 4887, expected_value: Males, label: sex} + - {column: E, row: 4887, expected_value: Employee, label: employment type} + - {column: J, row: 4887, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4889 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4889, expected_value: E12000003, label: geography} + - {column: D, row: 4889, expected_value: Males, label: sex} + - {column: E, row: 4889, expected_value: Employee, label: employment type} + - {column: J, row: 4889, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4891 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4891, expected_value: E12000003, label: geography} + - {column: D, row: 4891, expected_value: Males, label: sex} + - {column: E, row: 4891, expected_value: Employee, label: employment type} + - {column: J, row: 4891, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4893 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4893, expected_value: E12000003, label: geography} + - {column: D, row: 4893, expected_value: Males, label: sex} + - {column: E, row: 4893, expected_value: Employee, label: employment type} + - {column: J, row: 4893, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4895 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4895, expected_value: E12000003, label: geography} + - {column: D, row: 4895, expected_value: Males, label: sex} + - {column: E, row: 4895, expected_value: Employee, label: employment type} + - {column: J, row: 4895, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4897 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4897, expected_value: E12000003, label: geography} + - {column: D, row: 4897, expected_value: Males, label: sex} + - {column: E, row: 4897, expected_value: Employee, label: employment type} + - {column: J, row: 4897, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5042 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5042, expected_value: E12000003, label: geography} + - {column: D, row: 5042, expected_value: Males, label: sex} + - {column: E, row: 5042, expected_value: Self-employed, label: employment type} + - {column: J, row: 5042, expected_value: Value, label: measure} + - {column: L, row: 5043, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5044 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5044, expected_value: E12000003, label: geography} + - {column: D, row: 5044, expected_value: Males, label: sex} + - {column: E, row: 5044, expected_value: Self-employed, label: employment type} + - {column: J, row: 5044, expected_value: Value, label: measure} + - {column: L, row: 5045, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5046 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5046, expected_value: E12000003, label: geography} + - {column: D, row: 5046, expected_value: Males, label: sex} + - {column: E, row: 5046, expected_value: Self-employed, label: employment type} + - {column: J, row: 5046, expected_value: Value, label: measure} + - {column: L, row: 5047, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5048 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5048, expected_value: E12000003, label: geography} + - {column: D, row: 5048, expected_value: Males, label: sex} + - {column: E, row: 5048, expected_value: Self-employed, label: employment type} + - {column: J, row: 5048, expected_value: Value, label: measure} + - {column: L, row: 5049, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5050 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5050, expected_value: E12000003, label: geography} + - {column: D, row: 5050, expected_value: Males, label: sex} + - {column: E, row: 5050, expected_value: Self-employed, label: employment type} + - {column: J, row: 5050, expected_value: Value, label: measure} + - {column: L, row: 5051, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5052 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5052, expected_value: E12000003, label: geography} + - {column: D, row: 5052, expected_value: Males, label: sex} + - {column: E, row: 5052, expected_value: Self-employed, label: employment type} + - {column: J, row: 5052, expected_value: Value, label: measure} + - {column: L, row: 5053, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5054 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5054, expected_value: E12000003, label: geography} + - {column: D, row: 5054, expected_value: Males, label: sex} + - {column: E, row: 5054, expected_value: Self-employed, label: employment type} + - {column: J, row: 5054, expected_value: Value, label: measure} + - {column: L, row: 5055, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5056 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5056, expected_value: E12000003, label: geography} + - {column: D, row: 5056, expected_value: Males, label: sex} + - {column: E, row: 5056, expected_value: Self-employed, label: employment type} + - {column: J, row: 5056, expected_value: Value, label: measure} + - {column: L, row: 5057, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5058 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5058, expected_value: E12000003, label: geography} + - {column: D, row: 5058, expected_value: Males, label: sex} + - {column: E, row: 5058, expected_value: Self-employed, label: employment type} + - {column: J, row: 5058, expected_value: Value, label: measure} + - {column: L, row: 5059, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5060 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5060, expected_value: E12000003, label: geography} + - {column: D, row: 5060, expected_value: Males, label: sex} + - {column: E, row: 5060, expected_value: Self-employed, label: employment type} + - {column: J, row: 5060, expected_value: Value, label: measure} + - {column: L, row: 5061, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5062 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5062, expected_value: E12000003, label: geography} + - {column: D, row: 5062, expected_value: Males, label: sex} + - {column: E, row: 5062, expected_value: Self-employed, label: employment type} + - {column: J, row: 5062, expected_value: Value, label: measure} + - {column: L, row: 5063, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5064 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5064, expected_value: E12000003, label: geography} + - {column: D, row: 5064, expected_value: Males, label: sex} + - {column: E, row: 5064, expected_value: Self-employed, label: employment type} + - {column: J, row: 5064, expected_value: Value, label: measure} + - {column: L, row: 5065, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5068 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5068, expected_value: E12000003, label: geography} + - {column: D, row: 5068, expected_value: Males, label: sex} + - {column: E, row: 5068, expected_value: Self-employed, label: employment type} + - {column: J, row: 5068, expected_value: Value, label: measure} + - {column: L, row: 5069, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5070 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5070, expected_value: E12000003, label: geography} + - {column: D, row: 5070, expected_value: Males, label: sex} + - {column: E, row: 5070, expected_value: Self-employed, label: employment type} + - {column: J, row: 5070, expected_value: Value, label: measure} + - {column: L, row: 5071, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5072 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5072, expected_value: E12000003, label: geography} + - {column: D, row: 5072, expected_value: Males, label: sex} + - {column: E, row: 5072, expected_value: Self-employed, label: employment type} + - {column: J, row: 5072, expected_value: Value, label: measure} + - {column: L, row: 5073, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5074 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5074, expected_value: E12000003, label: geography} + - {column: D, row: 5074, expected_value: Males, label: sex} + - {column: E, row: 5074, expected_value: Self-employed, label: employment type} + - {column: J, row: 5074, expected_value: Value, label: measure} + - {column: L, row: 5075, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5078 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5078, expected_value: E12000003, label: geography} + - {column: D, row: 5078, expected_value: Males, label: sex} + - {column: E, row: 5078, expected_value: Self-employed, label: employment type} + - {column: J, row: 5078, expected_value: Value, label: measure} + - {column: L, row: 5079, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5080 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5080, expected_value: E12000003, label: geography} + - {column: D, row: 5080, expected_value: Males, label: sex} + - {column: E, row: 5080, expected_value: Self-employed, label: employment type} + - {column: J, row: 5080, expected_value: Value, label: measure} + - {column: L, row: 5081, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5082 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5082, expected_value: E12000003, label: geography} + - {column: D, row: 5082, expected_value: Males, label: sex} + - {column: E, row: 5082, expected_value: Self-employed, label: employment type} + - {column: J, row: 5082, expected_value: Value, label: measure} + - {column: L, row: 5083, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5084 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5084, expected_value: E12000003, label: geography} + - {column: D, row: 5084, expected_value: Males, label: sex} + - {column: E, row: 5084, expected_value: Self-employed, label: employment type} + - {column: J, row: 5084, expected_value: Value, label: measure} + - {column: L, row: 5085, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5086 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5086, expected_value: E12000003, label: geography} + - {column: D, row: 5086, expected_value: Males, label: sex} + - {column: E, row: 5086, expected_value: Self-employed, label: employment type} + - {column: J, row: 5086, expected_value: Value, label: measure} + - {column: L, row: 5087, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5088 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5088, expected_value: E12000003, label: geography} + - {column: D, row: 5088, expected_value: Males, label: sex} + - {column: E, row: 5088, expected_value: Self-employed, label: employment type} + - {column: J, row: 5088, expected_value: Value, label: measure} + - {column: L, row: 5089, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5090 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5090, expected_value: E12000003, label: geography} + - {column: D, row: 5090, expected_value: Males, label: sex} + - {column: E, row: 5090, expected_value: Self-employed, label: employment type} + - {column: J, row: 5090, expected_value: Value, label: measure} + - {column: L, row: 5091, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5092 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5092, expected_value: E12000003, label: geography} + - {column: D, row: 5092, expected_value: Males, label: sex} + - {column: E, row: 5092, expected_value: Self-employed, label: employment type} + - {column: J, row: 5092, expected_value: Value, label: measure} + - {column: L, row: 5093, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5096 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5096, expected_value: E12000003, label: geography} + - {column: D, row: 5096, expected_value: Males, label: sex} + - {column: E, row: 5096, expected_value: Self-employed, label: employment type} + - {column: J, row: 5096, expected_value: Value, label: measure} + - {column: L, row: 5097, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5098 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5098, expected_value: E12000003, label: geography} + - {column: D, row: 5098, expected_value: Males, label: sex} + - {column: E, row: 5098, expected_value: Self-employed, label: employment type} + - {column: J, row: 5098, expected_value: Value, label: measure} + - {column: L, row: 5099, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5102 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5102, expected_value: E12000003, label: geography} + - {column: D, row: 5102, expected_value: Males, label: sex} + - {column: E, row: 5102, expected_value: Self-employed, label: employment type} + - {column: J, row: 5102, expected_value: Value, label: measure} + - {column: L, row: 5103, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5104 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5104, expected_value: E12000003, label: geography} + - {column: D, row: 5104, expected_value: Males, label: sex} + - {column: E, row: 5104, expected_value: Self-employed, label: employment type} + - {column: J, row: 5104, expected_value: Value, label: measure} + - {column: L, row: 5105, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5106 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5106, expected_value: E12000003, label: geography} + - {column: D, row: 5106, expected_value: Males, label: sex} + - {column: E, row: 5106, expected_value: Self-employed, label: employment type} + - {column: J, row: 5106, expected_value: Value, label: measure} + - {column: L, row: 5107, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5108 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5108, expected_value: E12000003, label: geography} + - {column: D, row: 5108, expected_value: Males, label: sex} + - {column: E, row: 5108, expected_value: Self-employed, label: employment type} + - {column: J, row: 5108, expected_value: Value, label: measure} + - {column: L, row: 5109, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5110 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5110, expected_value: E12000003, label: geography} + - {column: D, row: 5110, expected_value: Males, label: sex} + - {column: E, row: 5110, expected_value: Self-employed, label: employment type} + - {column: J, row: 5110, expected_value: Value, label: measure} + - {column: L, row: 5111, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5112 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5112, expected_value: E12000003, label: geography} + - {column: D, row: 5112, expected_value: Males, label: sex} + - {column: E, row: 5112, expected_value: Self-employed, label: employment type} + - {column: J, row: 5112, expected_value: Value, label: measure} + - {column: L, row: 5113, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5043 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5043, expected_value: E12000003, label: geography} + - {column: D, row: 5043, expected_value: Males, label: sex} + - {column: E, row: 5043, expected_value: Self-employed, label: employment type} + - {column: J, row: 5043, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5045 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5045, expected_value: E12000003, label: geography} + - {column: D, row: 5045, expected_value: Males, label: sex} + - {column: E, row: 5045, expected_value: Self-employed, label: employment type} + - {column: J, row: 5045, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5047 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5047, expected_value: E12000003, label: geography} + - {column: D, row: 5047, expected_value: Males, label: sex} + - {column: E, row: 5047, expected_value: Self-employed, label: employment type} + - {column: J, row: 5047, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5049 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5049, expected_value: E12000003, label: geography} + - {column: D, row: 5049, expected_value: Males, label: sex} + - {column: E, row: 5049, expected_value: Self-employed, label: employment type} + - {column: J, row: 5049, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5051 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5051, expected_value: E12000003, label: geography} + - {column: D, row: 5051, expected_value: Males, label: sex} + - {column: E, row: 5051, expected_value: Self-employed, label: employment type} + - {column: J, row: 5051, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5053 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5053, expected_value: E12000003, label: geography} + - {column: D, row: 5053, expected_value: Males, label: sex} + - {column: E, row: 5053, expected_value: Self-employed, label: employment type} + - {column: J, row: 5053, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5055 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5055, expected_value: E12000003, label: geography} + - {column: D, row: 5055, expected_value: Males, label: sex} + - {column: E, row: 5055, expected_value: Self-employed, label: employment type} + - {column: J, row: 5055, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5057 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5057, expected_value: E12000003, label: geography} + - {column: D, row: 5057, expected_value: Males, label: sex} + - {column: E, row: 5057, expected_value: Self-employed, label: employment type} + - {column: J, row: 5057, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5059 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5059, expected_value: E12000003, label: geography} + - {column: D, row: 5059, expected_value: Males, label: sex} + - {column: E, row: 5059, expected_value: Self-employed, label: employment type} + - {column: J, row: 5059, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5061 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5061, expected_value: E12000003, label: geography} + - {column: D, row: 5061, expected_value: Males, label: sex} + - {column: E, row: 5061, expected_value: Self-employed, label: employment type} + - {column: J, row: 5061, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5069 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5069, expected_value: E12000003, label: geography} + - {column: D, row: 5069, expected_value: Males, label: sex} + - {column: E, row: 5069, expected_value: Self-employed, label: employment type} + - {column: J, row: 5069, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5071 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5071, expected_value: E12000003, label: geography} + - {column: D, row: 5071, expected_value: Males, label: sex} + - {column: E, row: 5071, expected_value: Self-employed, label: employment type} + - {column: J, row: 5071, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5079 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5079, expected_value: E12000003, label: geography} + - {column: D, row: 5079, expected_value: Males, label: sex} + - {column: E, row: 5079, expected_value: Self-employed, label: employment type} + - {column: J, row: 5079, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5081 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5081, expected_value: E12000003, label: geography} + - {column: D, row: 5081, expected_value: Males, label: sex} + - {column: E, row: 5081, expected_value: Self-employed, label: employment type} + - {column: J, row: 5081, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5083 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5083, expected_value: E12000003, label: geography} + - {column: D, row: 5083, expected_value: Males, label: sex} + - {column: E, row: 5083, expected_value: Self-employed, label: employment type} + - {column: J, row: 5083, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5085 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5085, expected_value: E12000003, label: geography} + - {column: D, row: 5085, expected_value: Males, label: sex} + - {column: E, row: 5085, expected_value: Self-employed, label: employment type} + - {column: J, row: 5085, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5087 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5087, expected_value: E12000003, label: geography} + - {column: D, row: 5087, expected_value: Males, label: sex} + - {column: E, row: 5087, expected_value: Self-employed, label: employment type} + - {column: J, row: 5087, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5089 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5089, expected_value: E12000003, label: geography} + - {column: D, row: 5089, expected_value: Males, label: sex} + - {column: E, row: 5089, expected_value: Self-employed, label: employment type} + - {column: J, row: 5089, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5091 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5091, expected_value: E12000003, label: geography} + - {column: D, row: 5091, expected_value: Males, label: sex} + - {column: E, row: 5091, expected_value: Self-employed, label: employment type} + - {column: J, row: 5091, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5097 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5097, expected_value: E12000003, label: geography} + - {column: D, row: 5097, expected_value: Males, label: sex} + - {column: E, row: 5097, expected_value: Self-employed, label: employment type} + - {column: J, row: 5097, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5099 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5099, expected_value: E12000003, label: geography} + - {column: D, row: 5099, expected_value: Males, label: sex} + - {column: E, row: 5099, expected_value: Self-employed, label: employment type} + - {column: J, row: 5099, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5103 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5103, expected_value: E12000003, label: geography} + - {column: D, row: 5103, expected_value: Males, label: sex} + - {column: E, row: 5103, expected_value: Self-employed, label: employment type} + - {column: J, row: 5103, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5105 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5105, expected_value: E12000003, label: geography} + - {column: D, row: 5105, expected_value: Males, label: sex} + - {column: E, row: 5105, expected_value: Self-employed, label: employment type} + - {column: J, row: 5105, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5107 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5107, expected_value: E12000003, label: geography} + - {column: D, row: 5107, expected_value: Males, label: sex} + - {column: E, row: 5107, expected_value: Self-employed, label: employment type} + - {column: J, row: 5107, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5109 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5109, expected_value: E12000003, label: geography} + - {column: D, row: 5109, expected_value: Males, label: sex} + - {column: E, row: 5109, expected_value: Self-employed, label: employment type} + - {column: J, row: 5109, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5111 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5111, expected_value: E12000003, label: geography} + - {column: D, row: 5111, expected_value: Males, label: sex} + - {column: E, row: 5111, expected_value: Self-employed, label: employment type} + - {column: J, row: 5111, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5113 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5113, expected_value: E12000003, label: geography} + - {column: D, row: 5113, expected_value: Males, label: sex} + - {column: E, row: 5113, expected_value: Self-employed, label: employment type} + - {column: J, row: 5113, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4682 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4682, expected_value: E12000003, label: geography} + - {column: D, row: 4682, expected_value: Females, label: sex} + - {column: E, row: 4682, expected_value: Total, label: employment type} + - {column: J, row: 4682, expected_value: Value, label: measure} + - {column: L, row: 4683, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4684 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4684, expected_value: E12000003, label: geography} + - {column: D, row: 4684, expected_value: Females, label: sex} + - {column: E, row: 4684, expected_value: Total, label: employment type} + - {column: J, row: 4684, expected_value: Value, label: measure} + - {column: L, row: 4685, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4686 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4686, expected_value: E12000003, label: geography} + - {column: D, row: 4686, expected_value: Females, label: sex} + - {column: E, row: 4686, expected_value: Total, label: employment type} + - {column: J, row: 4686, expected_value: Value, label: measure} + - {column: L, row: 4687, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4688 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4688, expected_value: E12000003, label: geography} + - {column: D, row: 4688, expected_value: Females, label: sex} + - {column: E, row: 4688, expected_value: Total, label: employment type} + - {column: J, row: 4688, expected_value: Value, label: measure} + - {column: L, row: 4689, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4690 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4690, expected_value: E12000003, label: geography} + - {column: D, row: 4690, expected_value: Females, label: sex} + - {column: E, row: 4690, expected_value: Total, label: employment type} + - {column: J, row: 4690, expected_value: Value, label: measure} + - {column: L, row: 4691, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4692 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4692, expected_value: E12000003, label: geography} + - {column: D, row: 4692, expected_value: Females, label: sex} + - {column: E, row: 4692, expected_value: Total, label: employment type} + - {column: J, row: 4692, expected_value: Value, label: measure} + - {column: L, row: 4693, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4694 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4694, expected_value: E12000003, label: geography} + - {column: D, row: 4694, expected_value: Females, label: sex} + - {column: E, row: 4694, expected_value: Total, label: employment type} + - {column: J, row: 4694, expected_value: Value, label: measure} + - {column: L, row: 4695, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4696 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4696, expected_value: E12000003, label: geography} + - {column: D, row: 4696, expected_value: Females, label: sex} + - {column: E, row: 4696, expected_value: Total, label: employment type} + - {column: J, row: 4696, expected_value: Value, label: measure} + - {column: L, row: 4697, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4698 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4698, expected_value: E12000003, label: geography} + - {column: D, row: 4698, expected_value: Females, label: sex} + - {column: E, row: 4698, expected_value: Total, label: employment type} + - {column: J, row: 4698, expected_value: Value, label: measure} + - {column: L, row: 4699, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4700 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4700, expected_value: E12000003, label: geography} + - {column: D, row: 4700, expected_value: Females, label: sex} + - {column: E, row: 4700, expected_value: Total, label: employment type} + - {column: J, row: 4700, expected_value: Value, label: measure} + - {column: L, row: 4701, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4702 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4702, expected_value: E12000003, label: geography} + - {column: D, row: 4702, expected_value: Females, label: sex} + - {column: E, row: 4702, expected_value: Total, label: employment type} + - {column: J, row: 4702, expected_value: Value, label: measure} + - {column: L, row: 4703, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4704 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4704, expected_value: E12000003, label: geography} + - {column: D, row: 4704, expected_value: Females, label: sex} + - {column: E, row: 4704, expected_value: Total, label: employment type} + - {column: J, row: 4704, expected_value: Value, label: measure} + - {column: L, row: 4705, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4706 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4706, expected_value: E12000003, label: geography} + - {column: D, row: 4706, expected_value: Females, label: sex} + - {column: E, row: 4706, expected_value: Total, label: employment type} + - {column: J, row: 4706, expected_value: Value, label: measure} + - {column: L, row: 4707, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4708 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4708, expected_value: E12000003, label: geography} + - {column: D, row: 4708, expected_value: Females, label: sex} + - {column: E, row: 4708, expected_value: Total, label: employment type} + - {column: J, row: 4708, expected_value: Value, label: measure} + - {column: L, row: 4709, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4710 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4710, expected_value: E12000003, label: geography} + - {column: D, row: 4710, expected_value: Females, label: sex} + - {column: E, row: 4710, expected_value: Total, label: employment type} + - {column: J, row: 4710, expected_value: Value, label: measure} + - {column: L, row: 4711, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4712 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4712, expected_value: E12000003, label: geography} + - {column: D, row: 4712, expected_value: Females, label: sex} + - {column: E, row: 4712, expected_value: Total, label: employment type} + - {column: J, row: 4712, expected_value: Value, label: measure} + - {column: L, row: 4713, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4714 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4714, expected_value: E12000003, label: geography} + - {column: D, row: 4714, expected_value: Females, label: sex} + - {column: E, row: 4714, expected_value: Total, label: employment type} + - {column: J, row: 4714, expected_value: Value, label: measure} + - {column: L, row: 4715, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4716 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4716, expected_value: E12000003, label: geography} + - {column: D, row: 4716, expected_value: Females, label: sex} + - {column: E, row: 4716, expected_value: Total, label: employment type} + - {column: J, row: 4716, expected_value: Value, label: measure} + - {column: L, row: 4717, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4718 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4718, expected_value: E12000003, label: geography} + - {column: D, row: 4718, expected_value: Females, label: sex} + - {column: E, row: 4718, expected_value: Total, label: employment type} + - {column: J, row: 4718, expected_value: Value, label: measure} + - {column: L, row: 4719, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4720 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4720, expected_value: E12000003, label: geography} + - {column: D, row: 4720, expected_value: Females, label: sex} + - {column: E, row: 4720, expected_value: Total, label: employment type} + - {column: J, row: 4720, expected_value: Value, label: measure} + - {column: L, row: 4721, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4722 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4722, expected_value: E12000003, label: geography} + - {column: D, row: 4722, expected_value: Females, label: sex} + - {column: E, row: 4722, expected_value: Total, label: employment type} + - {column: J, row: 4722, expected_value: Value, label: measure} + - {column: L, row: 4723, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4724 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4724, expected_value: E12000003, label: geography} + - {column: D, row: 4724, expected_value: Females, label: sex} + - {column: E, row: 4724, expected_value: Total, label: employment type} + - {column: J, row: 4724, expected_value: Value, label: measure} + - {column: L, row: 4725, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4726 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4726, expected_value: E12000003, label: geography} + - {column: D, row: 4726, expected_value: Females, label: sex} + - {column: E, row: 4726, expected_value: Total, label: employment type} + - {column: J, row: 4726, expected_value: Value, label: measure} + - {column: L, row: 4727, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4728 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4728, expected_value: E12000003, label: geography} + - {column: D, row: 4728, expected_value: Females, label: sex} + - {column: E, row: 4728, expected_value: Total, label: employment type} + - {column: J, row: 4728, expected_value: Value, label: measure} + - {column: L, row: 4729, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4730 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4730, expected_value: E12000003, label: geography} + - {column: D, row: 4730, expected_value: Females, label: sex} + - {column: E, row: 4730, expected_value: Total, label: employment type} + - {column: J, row: 4730, expected_value: Value, label: measure} + - {column: L, row: 4731, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4732 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4732, expected_value: E12000003, label: geography} + - {column: D, row: 4732, expected_value: Females, label: sex} + - {column: E, row: 4732, expected_value: Total, label: employment type} + - {column: J, row: 4732, expected_value: Value, label: measure} + - {column: L, row: 4733, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4734 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4734, expected_value: E12000003, label: geography} + - {column: D, row: 4734, expected_value: Females, label: sex} + - {column: E, row: 4734, expected_value: Total, label: employment type} + - {column: J, row: 4734, expected_value: Value, label: measure} + - {column: L, row: 4735, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4736 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4736, expected_value: E12000003, label: geography} + - {column: D, row: 4736, expected_value: Females, label: sex} + - {column: E, row: 4736, expected_value: Total, label: employment type} + - {column: J, row: 4736, expected_value: Value, label: measure} + - {column: L, row: 4737, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4738 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4738, expected_value: E12000003, label: geography} + - {column: D, row: 4738, expected_value: Females, label: sex} + - {column: E, row: 4738, expected_value: Total, label: employment type} + - {column: J, row: 4738, expected_value: Value, label: measure} + - {column: L, row: 4739, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4740 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4740, expected_value: E12000003, label: geography} + - {column: D, row: 4740, expected_value: Females, label: sex} + - {column: E, row: 4740, expected_value: Total, label: employment type} + - {column: J, row: 4740, expected_value: Value, label: measure} + - {column: L, row: 4741, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4742 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4742, expected_value: E12000003, label: geography} + - {column: D, row: 4742, expected_value: Females, label: sex} + - {column: E, row: 4742, expected_value: Total, label: employment type} + - {column: J, row: 4742, expected_value: Value, label: measure} + - {column: L, row: 4743, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4744 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4744, expected_value: E12000003, label: geography} + - {column: D, row: 4744, expected_value: Females, label: sex} + - {column: E, row: 4744, expected_value: Total, label: employment type} + - {column: J, row: 4744, expected_value: Value, label: measure} + - {column: L, row: 4745, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4746 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4746, expected_value: E12000003, label: geography} + - {column: D, row: 4746, expected_value: Females, label: sex} + - {column: E, row: 4746, expected_value: Total, label: employment type} + - {column: J, row: 4746, expected_value: Value, label: measure} + - {column: L, row: 4747, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4748 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4748, expected_value: E12000003, label: geography} + - {column: D, row: 4748, expected_value: Females, label: sex} + - {column: E, row: 4748, expected_value: Total, label: employment type} + - {column: J, row: 4748, expected_value: Value, label: measure} + - {column: L, row: 4749, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4750 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4750, expected_value: E12000003, label: geography} + - {column: D, row: 4750, expected_value: Females, label: sex} + - {column: E, row: 4750, expected_value: Total, label: employment type} + - {column: J, row: 4750, expected_value: Value, label: measure} + - {column: L, row: 4751, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4752 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4752, expected_value: E12000003, label: geography} + - {column: D, row: 4752, expected_value: Females, label: sex} + - {column: E, row: 4752, expected_value: Total, label: employment type} + - {column: J, row: 4752, expected_value: Value, label: measure} + - {column: L, row: 4753, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4683 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4683, expected_value: E12000003, label: geography} + - {column: D, row: 4683, expected_value: Females, label: sex} + - {column: E, row: 4683, expected_value: Total, label: employment type} + - {column: J, row: 4683, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4685 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4685, expected_value: E12000003, label: geography} + - {column: D, row: 4685, expected_value: Females, label: sex} + - {column: E, row: 4685, expected_value: Total, label: employment type} + - {column: J, row: 4685, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4687 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4687, expected_value: E12000003, label: geography} + - {column: D, row: 4687, expected_value: Females, label: sex} + - {column: E, row: 4687, expected_value: Total, label: employment type} + - {column: J, row: 4687, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4689 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4689, expected_value: E12000003, label: geography} + - {column: D, row: 4689, expected_value: Females, label: sex} + - {column: E, row: 4689, expected_value: Total, label: employment type} + - {column: J, row: 4689, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4691 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4691, expected_value: E12000003, label: geography} + - {column: D, row: 4691, expected_value: Females, label: sex} + - {column: E, row: 4691, expected_value: Total, label: employment type} + - {column: J, row: 4691, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4693 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4693, expected_value: E12000003, label: geography} + - {column: D, row: 4693, expected_value: Females, label: sex} + - {column: E, row: 4693, expected_value: Total, label: employment type} + - {column: J, row: 4693, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4695 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4695, expected_value: E12000003, label: geography} + - {column: D, row: 4695, expected_value: Females, label: sex} + - {column: E, row: 4695, expected_value: Total, label: employment type} + - {column: J, row: 4695, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4697 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4697, expected_value: E12000003, label: geography} + - {column: D, row: 4697, expected_value: Females, label: sex} + - {column: E, row: 4697, expected_value: Total, label: employment type} + - {column: J, row: 4697, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4699 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4699, expected_value: E12000003, label: geography} + - {column: D, row: 4699, expected_value: Females, label: sex} + - {column: E, row: 4699, expected_value: Total, label: employment type} + - {column: J, row: 4699, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4701 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4701, expected_value: E12000003, label: geography} + - {column: D, row: 4701, expected_value: Females, label: sex} + - {column: E, row: 4701, expected_value: Total, label: employment type} + - {column: J, row: 4701, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4703 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4703, expected_value: E12000003, label: geography} + - {column: D, row: 4703, expected_value: Females, label: sex} + - {column: E, row: 4703, expected_value: Total, label: employment type} + - {column: J, row: 4703, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4705 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4705, expected_value: E12000003, label: geography} + - {column: D, row: 4705, expected_value: Females, label: sex} + - {column: E, row: 4705, expected_value: Total, label: employment type} + - {column: J, row: 4705, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4707 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4707, expected_value: E12000003, label: geography} + - {column: D, row: 4707, expected_value: Females, label: sex} + - {column: E, row: 4707, expected_value: Total, label: employment type} + - {column: J, row: 4707, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4709 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4709, expected_value: E12000003, label: geography} + - {column: D, row: 4709, expected_value: Females, label: sex} + - {column: E, row: 4709, expected_value: Total, label: employment type} + - {column: J, row: 4709, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4711 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4711, expected_value: E12000003, label: geography} + - {column: D, row: 4711, expected_value: Females, label: sex} + - {column: E, row: 4711, expected_value: Total, label: employment type} + - {column: J, row: 4711, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4713 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4713, expected_value: E12000003, label: geography} + - {column: D, row: 4713, expected_value: Females, label: sex} + - {column: E, row: 4713, expected_value: Total, label: employment type} + - {column: J, row: 4713, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4715 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4715, expected_value: E12000003, label: geography} + - {column: D, row: 4715, expected_value: Females, label: sex} + - {column: E, row: 4715, expected_value: Total, label: employment type} + - {column: J, row: 4715, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4717 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4717, expected_value: E12000003, label: geography} + - {column: D, row: 4717, expected_value: Females, label: sex} + - {column: E, row: 4717, expected_value: Total, label: employment type} + - {column: J, row: 4717, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4719 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4719, expected_value: E12000003, label: geography} + - {column: D, row: 4719, expected_value: Females, label: sex} + - {column: E, row: 4719, expected_value: Total, label: employment type} + - {column: J, row: 4719, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4727 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4727, expected_value: E12000003, label: geography} + - {column: D, row: 4727, expected_value: Females, label: sex} + - {column: E, row: 4727, expected_value: Total, label: employment type} + - {column: J, row: 4727, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4729 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4729, expected_value: E12000003, label: geography} + - {column: D, row: 4729, expected_value: Females, label: sex} + - {column: E, row: 4729, expected_value: Total, label: employment type} + - {column: J, row: 4729, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4731 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4731, expected_value: E12000003, label: geography} + - {column: D, row: 4731, expected_value: Females, label: sex} + - {column: E, row: 4731, expected_value: Total, label: employment type} + - {column: J, row: 4731, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4733 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4733, expected_value: E12000003, label: geography} + - {column: D, row: 4733, expected_value: Females, label: sex} + - {column: E, row: 4733, expected_value: Total, label: employment type} + - {column: J, row: 4733, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4737 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4737, expected_value: E12000003, label: geography} + - {column: D, row: 4737, expected_value: Females, label: sex} + - {column: E, row: 4737, expected_value: Total, label: employment type} + - {column: J, row: 4737, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4739 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4739, expected_value: E12000003, label: geography} + - {column: D, row: 4739, expected_value: Females, label: sex} + - {column: E, row: 4739, expected_value: Total, label: employment type} + - {column: J, row: 4739, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4741 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4741, expected_value: E12000003, label: geography} + - {column: D, row: 4741, expected_value: Females, label: sex} + - {column: E, row: 4741, expected_value: Total, label: employment type} + - {column: J, row: 4741, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4743 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4743, expected_value: E12000003, label: geography} + - {column: D, row: 4743, expected_value: Females, label: sex} + - {column: E, row: 4743, expected_value: Total, label: employment type} + - {column: J, row: 4743, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4745 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4745, expected_value: E12000003, label: geography} + - {column: D, row: 4745, expected_value: Females, label: sex} + - {column: E, row: 4745, expected_value: Total, label: employment type} + - {column: J, row: 4745, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4747 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4747, expected_value: E12000003, label: geography} + - {column: D, row: 4747, expected_value: Females, label: sex} + - {column: E, row: 4747, expected_value: Total, label: employment type} + - {column: J, row: 4747, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4749 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4749, expected_value: E12000003, label: geography} + - {column: D, row: 4749, expected_value: Females, label: sex} + - {column: E, row: 4749, expected_value: Total, label: employment type} + - {column: J, row: 4749, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4751 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4751, expected_value: E12000003, label: geography} + - {column: D, row: 4751, expected_value: Females, label: sex} + - {column: E, row: 4751, expected_value: Total, label: employment type} + - {column: J, row: 4751, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4753 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4753, expected_value: E12000003, label: geography} + - {column: D, row: 4753, expected_value: Females, label: sex} + - {column: E, row: 4753, expected_value: Total, label: employment type} + - {column: J, row: 4753, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4898 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4898, expected_value: E12000003, label: geography} + - {column: D, row: 4898, expected_value: Females, label: sex} + - {column: E, row: 4898, expected_value: Employee, label: employment type} + - {column: J, row: 4898, expected_value: Value, label: measure} + - {column: L, row: 4899, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4900 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4900, expected_value: E12000003, label: geography} + - {column: D, row: 4900, expected_value: Females, label: sex} + - {column: E, row: 4900, expected_value: Employee, label: employment type} + - {column: J, row: 4900, expected_value: Value, label: measure} + - {column: L, row: 4901, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4902 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4902, expected_value: E12000003, label: geography} + - {column: D, row: 4902, expected_value: Females, label: sex} + - {column: E, row: 4902, expected_value: Employee, label: employment type} + - {column: J, row: 4902, expected_value: Value, label: measure} + - {column: L, row: 4903, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4904 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4904, expected_value: E12000003, label: geography} + - {column: D, row: 4904, expected_value: Females, label: sex} + - {column: E, row: 4904, expected_value: Employee, label: employment type} + - {column: J, row: 4904, expected_value: Value, label: measure} + - {column: L, row: 4905, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4906 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4906, expected_value: E12000003, label: geography} + - {column: D, row: 4906, expected_value: Females, label: sex} + - {column: E, row: 4906, expected_value: Employee, label: employment type} + - {column: J, row: 4906, expected_value: Value, label: measure} + - {column: L, row: 4907, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4908 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4908, expected_value: E12000003, label: geography} + - {column: D, row: 4908, expected_value: Females, label: sex} + - {column: E, row: 4908, expected_value: Employee, label: employment type} + - {column: J, row: 4908, expected_value: Value, label: measure} + - {column: L, row: 4909, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4910 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4910, expected_value: E12000003, label: geography} + - {column: D, row: 4910, expected_value: Females, label: sex} + - {column: E, row: 4910, expected_value: Employee, label: employment type} + - {column: J, row: 4910, expected_value: Value, label: measure} + - {column: L, row: 4911, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4912 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4912, expected_value: E12000003, label: geography} + - {column: D, row: 4912, expected_value: Females, label: sex} + - {column: E, row: 4912, expected_value: Employee, label: employment type} + - {column: J, row: 4912, expected_value: Value, label: measure} + - {column: L, row: 4913, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4914 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4914, expected_value: E12000003, label: geography} + - {column: D, row: 4914, expected_value: Females, label: sex} + - {column: E, row: 4914, expected_value: Employee, label: employment type} + - {column: J, row: 4914, expected_value: Value, label: measure} + - {column: L, row: 4915, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4916 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4916, expected_value: E12000003, label: geography} + - {column: D, row: 4916, expected_value: Females, label: sex} + - {column: E, row: 4916, expected_value: Employee, label: employment type} + - {column: J, row: 4916, expected_value: Value, label: measure} + - {column: L, row: 4917, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4918 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4918, expected_value: E12000003, label: geography} + - {column: D, row: 4918, expected_value: Females, label: sex} + - {column: E, row: 4918, expected_value: Employee, label: employment type} + - {column: J, row: 4918, expected_value: Value, label: measure} + - {column: L, row: 4919, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4920 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4920, expected_value: E12000003, label: geography} + - {column: D, row: 4920, expected_value: Females, label: sex} + - {column: E, row: 4920, expected_value: Employee, label: employment type} + - {column: J, row: 4920, expected_value: Value, label: measure} + - {column: L, row: 4921, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4922 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4922, expected_value: E12000003, label: geography} + - {column: D, row: 4922, expected_value: Females, label: sex} + - {column: E, row: 4922, expected_value: Employee, label: employment type} + - {column: J, row: 4922, expected_value: Value, label: measure} + - {column: L, row: 4923, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4924 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4924, expected_value: E12000003, label: geography} + - {column: D, row: 4924, expected_value: Females, label: sex} + - {column: E, row: 4924, expected_value: Employee, label: employment type} + - {column: J, row: 4924, expected_value: Value, label: measure} + - {column: L, row: 4925, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4926 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4926, expected_value: E12000003, label: geography} + - {column: D, row: 4926, expected_value: Females, label: sex} + - {column: E, row: 4926, expected_value: Employee, label: employment type} + - {column: J, row: 4926, expected_value: Value, label: measure} + - {column: L, row: 4927, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4928 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4928, expected_value: E12000003, label: geography} + - {column: D, row: 4928, expected_value: Females, label: sex} + - {column: E, row: 4928, expected_value: Employee, label: employment type} + - {column: J, row: 4928, expected_value: Value, label: measure} + - {column: L, row: 4929, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4930 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4930, expected_value: E12000003, label: geography} + - {column: D, row: 4930, expected_value: Females, label: sex} + - {column: E, row: 4930, expected_value: Employee, label: employment type} + - {column: J, row: 4930, expected_value: Value, label: measure} + - {column: L, row: 4931, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4932 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4932, expected_value: E12000003, label: geography} + - {column: D, row: 4932, expected_value: Females, label: sex} + - {column: E, row: 4932, expected_value: Employee, label: employment type} + - {column: J, row: 4932, expected_value: Value, label: measure} + - {column: L, row: 4933, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4934 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4934, expected_value: E12000003, label: geography} + - {column: D, row: 4934, expected_value: Females, label: sex} + - {column: E, row: 4934, expected_value: Employee, label: employment type} + - {column: J, row: 4934, expected_value: Value, label: measure} + - {column: L, row: 4935, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4938 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4938, expected_value: E12000003, label: geography} + - {column: D, row: 4938, expected_value: Females, label: sex} + - {column: E, row: 4938, expected_value: Employee, label: employment type} + - {column: J, row: 4938, expected_value: Value, label: measure} + - {column: L, row: 4939, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4940 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4940, expected_value: E12000003, label: geography} + - {column: D, row: 4940, expected_value: Females, label: sex} + - {column: E, row: 4940, expected_value: Employee, label: employment type} + - {column: J, row: 4940, expected_value: Value, label: measure} + - {column: L, row: 4941, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4942 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4942, expected_value: E12000003, label: geography} + - {column: D, row: 4942, expected_value: Females, label: sex} + - {column: E, row: 4942, expected_value: Employee, label: employment type} + - {column: J, row: 4942, expected_value: Value, label: measure} + - {column: L, row: 4943, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4944 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4944, expected_value: E12000003, label: geography} + - {column: D, row: 4944, expected_value: Females, label: sex} + - {column: E, row: 4944, expected_value: Employee, label: employment type} + - {column: J, row: 4944, expected_value: Value, label: measure} + - {column: L, row: 4945, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4946 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4946, expected_value: E12000003, label: geography} + - {column: D, row: 4946, expected_value: Females, label: sex} + - {column: E, row: 4946, expected_value: Employee, label: employment type} + - {column: J, row: 4946, expected_value: Value, label: measure} + - {column: L, row: 4947, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4948 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4948, expected_value: E12000003, label: geography} + - {column: D, row: 4948, expected_value: Females, label: sex} + - {column: E, row: 4948, expected_value: Employee, label: employment type} + - {column: J, row: 4948, expected_value: Value, label: measure} + - {column: L, row: 4949, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4950 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4950, expected_value: E12000003, label: geography} + - {column: D, row: 4950, expected_value: Females, label: sex} + - {column: E, row: 4950, expected_value: Employee, label: employment type} + - {column: J, row: 4950, expected_value: Value, label: measure} + - {column: L, row: 4951, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4952 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4952, expected_value: E12000003, label: geography} + - {column: D, row: 4952, expected_value: Females, label: sex} + - {column: E, row: 4952, expected_value: Employee, label: employment type} + - {column: J, row: 4952, expected_value: Value, label: measure} + - {column: L, row: 4953, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4954 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4954, expected_value: E12000003, label: geography} + - {column: D, row: 4954, expected_value: Females, label: sex} + - {column: E, row: 4954, expected_value: Employee, label: employment type} + - {column: J, row: 4954, expected_value: Value, label: measure} + - {column: L, row: 4955, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4956 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4956, expected_value: E12000003, label: geography} + - {column: D, row: 4956, expected_value: Females, label: sex} + - {column: E, row: 4956, expected_value: Employee, label: employment type} + - {column: J, row: 4956, expected_value: Value, label: measure} + - {column: L, row: 4957, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4958 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4958, expected_value: E12000003, label: geography} + - {column: D, row: 4958, expected_value: Females, label: sex} + - {column: E, row: 4958, expected_value: Employee, label: employment type} + - {column: J, row: 4958, expected_value: Value, label: measure} + - {column: L, row: 4959, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4960 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4960, expected_value: E12000003, label: geography} + - {column: D, row: 4960, expected_value: Females, label: sex} + - {column: E, row: 4960, expected_value: Employee, label: employment type} + - {column: J, row: 4960, expected_value: Value, label: measure} + - {column: L, row: 4961, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4962 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4962, expected_value: E12000003, label: geography} + - {column: D, row: 4962, expected_value: Females, label: sex} + - {column: E, row: 4962, expected_value: Employee, label: employment type} + - {column: J, row: 4962, expected_value: Value, label: measure} + - {column: L, row: 4963, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4964 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4964, expected_value: E12000003, label: geography} + - {column: D, row: 4964, expected_value: Females, label: sex} + - {column: E, row: 4964, expected_value: Employee, label: employment type} + - {column: J, row: 4964, expected_value: Value, label: measure} + - {column: L, row: 4965, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4966 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4966, expected_value: E12000003, label: geography} + - {column: D, row: 4966, expected_value: Females, label: sex} + - {column: E, row: 4966, expected_value: Employee, label: employment type} + - {column: J, row: 4966, expected_value: Value, label: measure} + - {column: L, row: 4967, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4968 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4968, expected_value: E12000003, label: geography} + - {column: D, row: 4968, expected_value: Females, label: sex} + - {column: E, row: 4968, expected_value: Employee, label: employment type} + - {column: J, row: 4968, expected_value: Value, label: measure} + - {column: L, row: 4969, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4899 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4899, expected_value: E12000003, label: geography} + - {column: D, row: 4899, expected_value: Females, label: sex} + - {column: E, row: 4899, expected_value: Employee, label: employment type} + - {column: J, row: 4899, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4901 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4901, expected_value: E12000003, label: geography} + - {column: D, row: 4901, expected_value: Females, label: sex} + - {column: E, row: 4901, expected_value: Employee, label: employment type} + - {column: J, row: 4901, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4903 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4903, expected_value: E12000003, label: geography} + - {column: D, row: 4903, expected_value: Females, label: sex} + - {column: E, row: 4903, expected_value: Employee, label: employment type} + - {column: J, row: 4903, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4905 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4905, expected_value: E12000003, label: geography} + - {column: D, row: 4905, expected_value: Females, label: sex} + - {column: E, row: 4905, expected_value: Employee, label: employment type} + - {column: J, row: 4905, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4907 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4907, expected_value: E12000003, label: geography} + - {column: D, row: 4907, expected_value: Females, label: sex} + - {column: E, row: 4907, expected_value: Employee, label: employment type} + - {column: J, row: 4907, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4909 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4909, expected_value: E12000003, label: geography} + - {column: D, row: 4909, expected_value: Females, label: sex} + - {column: E, row: 4909, expected_value: Employee, label: employment type} + - {column: J, row: 4909, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4911 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4911, expected_value: E12000003, label: geography} + - {column: D, row: 4911, expected_value: Females, label: sex} + - {column: E, row: 4911, expected_value: Employee, label: employment type} + - {column: J, row: 4911, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4913 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4913, expected_value: E12000003, label: geography} + - {column: D, row: 4913, expected_value: Females, label: sex} + - {column: E, row: 4913, expected_value: Employee, label: employment type} + - {column: J, row: 4913, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4915 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4915, expected_value: E12000003, label: geography} + - {column: D, row: 4915, expected_value: Females, label: sex} + - {column: E, row: 4915, expected_value: Employee, label: employment type} + - {column: J, row: 4915, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4917 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4917, expected_value: E12000003, label: geography} + - {column: D, row: 4917, expected_value: Females, label: sex} + - {column: E, row: 4917, expected_value: Employee, label: employment type} + - {column: J, row: 4917, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4919 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4919, expected_value: E12000003, label: geography} + - {column: D, row: 4919, expected_value: Females, label: sex} + - {column: E, row: 4919, expected_value: Employee, label: employment type} + - {column: J, row: 4919, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4921 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4921, expected_value: E12000003, label: geography} + - {column: D, row: 4921, expected_value: Females, label: sex} + - {column: E, row: 4921, expected_value: Employee, label: employment type} + - {column: J, row: 4921, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4923 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4923, expected_value: E12000003, label: geography} + - {column: D, row: 4923, expected_value: Females, label: sex} + - {column: E, row: 4923, expected_value: Employee, label: employment type} + - {column: J, row: 4923, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4925 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4925, expected_value: E12000003, label: geography} + - {column: D, row: 4925, expected_value: Females, label: sex} + - {column: E, row: 4925, expected_value: Employee, label: employment type} + - {column: J, row: 4925, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4927 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4927, expected_value: E12000003, label: geography} + - {column: D, row: 4927, expected_value: Females, label: sex} + - {column: E, row: 4927, expected_value: Employee, label: employment type} + - {column: J, row: 4927, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4929 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4929, expected_value: E12000003, label: geography} + - {column: D, row: 4929, expected_value: Females, label: sex} + - {column: E, row: 4929, expected_value: Employee, label: employment type} + - {column: J, row: 4929, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4931 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4931, expected_value: E12000003, label: geography} + - {column: D, row: 4931, expected_value: Females, label: sex} + - {column: E, row: 4931, expected_value: Employee, label: employment type} + - {column: J, row: 4931, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4933 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4933, expected_value: E12000003, label: geography} + - {column: D, row: 4933, expected_value: Females, label: sex} + - {column: E, row: 4933, expected_value: Employee, label: employment type} + - {column: J, row: 4933, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4935 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4935, expected_value: E12000003, label: geography} + - {column: D, row: 4935, expected_value: Females, label: sex} + - {column: E, row: 4935, expected_value: Employee, label: employment type} + - {column: J, row: 4935, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4943 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4943, expected_value: E12000003, label: geography} + - {column: D, row: 4943, expected_value: Females, label: sex} + - {column: E, row: 4943, expected_value: Employee, label: employment type} + - {column: J, row: 4943, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4945 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4945, expected_value: E12000003, label: geography} + - {column: D, row: 4945, expected_value: Females, label: sex} + - {column: E, row: 4945, expected_value: Employee, label: employment type} + - {column: J, row: 4945, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4947 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4947, expected_value: E12000003, label: geography} + - {column: D, row: 4947, expected_value: Females, label: sex} + - {column: E, row: 4947, expected_value: Employee, label: employment type} + - {column: J, row: 4947, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4949 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4949, expected_value: E12000003, label: geography} + - {column: D, row: 4949, expected_value: Females, label: sex} + - {column: E, row: 4949, expected_value: Employee, label: employment type} + - {column: J, row: 4949, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4953 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4953, expected_value: E12000003, label: geography} + - {column: D, row: 4953, expected_value: Females, label: sex} + - {column: E, row: 4953, expected_value: Employee, label: employment type} + - {column: J, row: 4953, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4955 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4955, expected_value: E12000003, label: geography} + - {column: D, row: 4955, expected_value: Females, label: sex} + - {column: E, row: 4955, expected_value: Employee, label: employment type} + - {column: J, row: 4955, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4957 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4957, expected_value: E12000003, label: geography} + - {column: D, row: 4957, expected_value: Females, label: sex} + - {column: E, row: 4957, expected_value: Employee, label: employment type} + - {column: J, row: 4957, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4959 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4959, expected_value: E12000003, label: geography} + - {column: D, row: 4959, expected_value: Females, label: sex} + - {column: E, row: 4959, expected_value: Employee, label: employment type} + - {column: J, row: 4959, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4961 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4961, expected_value: E12000003, label: geography} + - {column: D, row: 4961, expected_value: Females, label: sex} + - {column: E, row: 4961, expected_value: Employee, label: employment type} + - {column: J, row: 4961, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4963 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4963, expected_value: E12000003, label: geography} + - {column: D, row: 4963, expected_value: Females, label: sex} + - {column: E, row: 4963, expected_value: Employee, label: employment type} + - {column: J, row: 4963, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4965 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4965, expected_value: E12000003, label: geography} + - {column: D, row: 4965, expected_value: Females, label: sex} + - {column: E, row: 4965, expected_value: Employee, label: employment type} + - {column: J, row: 4965, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4967 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4967, expected_value: E12000003, label: geography} + - {column: D, row: 4967, expected_value: Females, label: sex} + - {column: E, row: 4967, expected_value: Employee, label: employment type} + - {column: J, row: 4967, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4969 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4969, expected_value: E12000003, label: geography} + - {column: D, row: 4969, expected_value: Females, label: sex} + - {column: E, row: 4969, expected_value: Employee, label: employment type} + - {column: J, row: 4969, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5114 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5114, expected_value: E12000003, label: geography} + - {column: D, row: 5114, expected_value: Females, label: sex} + - {column: E, row: 5114, expected_value: Self-employed, label: employment type} + - {column: J, row: 5114, expected_value: Value, label: measure} + - {column: L, row: 5115, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5116 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5116, expected_value: E12000003, label: geography} + - {column: D, row: 5116, expected_value: Females, label: sex} + - {column: E, row: 5116, expected_value: Self-employed, label: employment type} + - {column: J, row: 5116, expected_value: Value, label: measure} + - {column: L, row: 5117, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5118 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5118, expected_value: E12000003, label: geography} + - {column: D, row: 5118, expected_value: Females, label: sex} + - {column: E, row: 5118, expected_value: Self-employed, label: employment type} + - {column: J, row: 5118, expected_value: Value, label: measure} + - {column: L, row: 5119, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5120 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5120, expected_value: E12000003, label: geography} + - {column: D, row: 5120, expected_value: Females, label: sex} + - {column: E, row: 5120, expected_value: Self-employed, label: employment type} + - {column: J, row: 5120, expected_value: Value, label: measure} + - {column: L, row: 5121, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5122 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5122, expected_value: E12000003, label: geography} + - {column: D, row: 5122, expected_value: Females, label: sex} + - {column: E, row: 5122, expected_value: Self-employed, label: employment type} + - {column: J, row: 5122, expected_value: Value, label: measure} + - {column: L, row: 5123, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5124 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5124, expected_value: E12000003, label: geography} + - {column: D, row: 5124, expected_value: Females, label: sex} + - {column: E, row: 5124, expected_value: Self-employed, label: employment type} + - {column: J, row: 5124, expected_value: Value, label: measure} + - {column: L, row: 5125, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5126 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5126, expected_value: E12000003, label: geography} + - {column: D, row: 5126, expected_value: Females, label: sex} + - {column: E, row: 5126, expected_value: Self-employed, label: employment type} + - {column: J, row: 5126, expected_value: Value, label: measure} + - {column: L, row: 5127, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5128 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5128, expected_value: E12000003, label: geography} + - {column: D, row: 5128, expected_value: Females, label: sex} + - {column: E, row: 5128, expected_value: Self-employed, label: employment type} + - {column: J, row: 5128, expected_value: Value, label: measure} + - {column: L, row: 5129, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5130 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5130, expected_value: E12000003, label: geography} + - {column: D, row: 5130, expected_value: Females, label: sex} + - {column: E, row: 5130, expected_value: Self-employed, label: employment type} + - {column: J, row: 5130, expected_value: Value, label: measure} + - {column: L, row: 5131, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5132 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5132, expected_value: E12000003, label: geography} + - {column: D, row: 5132, expected_value: Females, label: sex} + - {column: E, row: 5132, expected_value: Self-employed, label: employment type} + - {column: J, row: 5132, expected_value: Value, label: measure} + - {column: L, row: 5133, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5136 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5136, expected_value: E12000003, label: geography} + - {column: D, row: 5136, expected_value: Females, label: sex} + - {column: E, row: 5136, expected_value: Self-employed, label: employment type} + - {column: J, row: 5136, expected_value: Value, label: measure} + - {column: L, row: 5137, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5140 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5140, expected_value: E12000003, label: geography} + - {column: D, row: 5140, expected_value: Females, label: sex} + - {column: E, row: 5140, expected_value: Self-employed, label: employment type} + - {column: J, row: 5140, expected_value: Value, label: measure} + - {column: L, row: 5141, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5142 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5142, expected_value: E12000003, label: geography} + - {column: D, row: 5142, expected_value: Females, label: sex} + - {column: E, row: 5142, expected_value: Self-employed, label: employment type} + - {column: J, row: 5142, expected_value: Value, label: measure} + - {column: L, row: 5143, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5144 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5144, expected_value: E12000003, label: geography} + - {column: D, row: 5144, expected_value: Females, label: sex} + - {column: E, row: 5144, expected_value: Self-employed, label: employment type} + - {column: J, row: 5144, expected_value: Value, label: measure} + - {column: L, row: 5145, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5146 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5146, expected_value: E12000003, label: geography} + - {column: D, row: 5146, expected_value: Females, label: sex} + - {column: E, row: 5146, expected_value: Self-employed, label: employment type} + - {column: J, row: 5146, expected_value: Value, label: measure} + - {column: L, row: 5147, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5148 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5148, expected_value: E12000003, label: geography} + - {column: D, row: 5148, expected_value: Females, label: sex} + - {column: E, row: 5148, expected_value: Self-employed, label: employment type} + - {column: J, row: 5148, expected_value: Value, label: measure} + - {column: L, row: 5149, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5150 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5150, expected_value: E12000003, label: geography} + - {column: D, row: 5150, expected_value: Females, label: sex} + - {column: E, row: 5150, expected_value: Self-employed, label: employment type} + - {column: J, row: 5150, expected_value: Value, label: measure} + - {column: L, row: 5151, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5152 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5152, expected_value: E12000003, label: geography} + - {column: D, row: 5152, expected_value: Females, label: sex} + - {column: E, row: 5152, expected_value: Self-employed, label: employment type} + - {column: J, row: 5152, expected_value: Value, label: measure} + - {column: L, row: 5153, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5156 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5156, expected_value: E12000003, label: geography} + - {column: D, row: 5156, expected_value: Females, label: sex} + - {column: E, row: 5156, expected_value: Self-employed, label: employment type} + - {column: J, row: 5156, expected_value: Value, label: measure} + - {column: L, row: 5157, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5158 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5158, expected_value: E12000003, label: geography} + - {column: D, row: 5158, expected_value: Females, label: sex} + - {column: E, row: 5158, expected_value: Self-employed, label: employment type} + - {column: J, row: 5158, expected_value: Value, label: measure} + - {column: L, row: 5159, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5160 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5160, expected_value: E12000003, label: geography} + - {column: D, row: 5160, expected_value: Females, label: sex} + - {column: E, row: 5160, expected_value: Self-employed, label: employment type} + - {column: J, row: 5160, expected_value: Value, label: measure} + - {column: L, row: 5161, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5162 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5162, expected_value: E12000003, label: geography} + - {column: D, row: 5162, expected_value: Females, label: sex} + - {column: E, row: 5162, expected_value: Self-employed, label: employment type} + - {column: J, row: 5162, expected_value: Value, label: measure} + - {column: L, row: 5163, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5164 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5164, expected_value: E12000003, label: geography} + - {column: D, row: 5164, expected_value: Females, label: sex} + - {column: E, row: 5164, expected_value: Self-employed, label: employment type} + - {column: J, row: 5164, expected_value: Value, label: measure} + - {column: L, row: 5165, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5168 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5168, expected_value: E12000003, label: geography} + - {column: D, row: 5168, expected_value: Females, label: sex} + - {column: E, row: 5168, expected_value: Self-employed, label: employment type} + - {column: J, row: 5168, expected_value: Value, label: measure} + - {column: L, row: 5169, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5170 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5170, expected_value: E12000003, label: geography} + - {column: D, row: 5170, expected_value: Females, label: sex} + - {column: E, row: 5170, expected_value: Self-employed, label: employment type} + - {column: J, row: 5170, expected_value: Value, label: measure} + - {column: L, row: 5171, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5174 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5174, expected_value: E12000003, label: geography} + - {column: D, row: 5174, expected_value: Females, label: sex} + - {column: E, row: 5174, expected_value: Self-employed, label: employment type} + - {column: J, row: 5174, expected_value: Value, label: measure} + - {column: L, row: 5175, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5176 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5176, expected_value: E12000003, label: geography} + - {column: D, row: 5176, expected_value: Females, label: sex} + - {column: E, row: 5176, expected_value: Self-employed, label: employment type} + - {column: J, row: 5176, expected_value: Value, label: measure} + - {column: L, row: 5177, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5178 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5178, expected_value: E12000003, label: geography} + - {column: D, row: 5178, expected_value: Females, label: sex} + - {column: E, row: 5178, expected_value: Self-employed, label: employment type} + - {column: J, row: 5178, expected_value: Value, label: measure} + - {column: L, row: 5179, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5180 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5180, expected_value: E12000003, label: geography} + - {column: D, row: 5180, expected_value: Females, label: sex} + - {column: E, row: 5180, expected_value: Self-employed, label: employment type} + - {column: J, row: 5180, expected_value: Value, label: measure} + - {column: L, row: 5181, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5184 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5184, expected_value: E12000003, label: geography} + - {column: D, row: 5184, expected_value: Females, label: sex} + - {column: E, row: 5184, expected_value: Self-employed, label: employment type} + - {column: J, row: 5184, expected_value: Value, label: measure} + - {column: L, row: 5185, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5115 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5115, expected_value: E12000003, label: geography} + - {column: D, row: 5115, expected_value: Females, label: sex} + - {column: E, row: 5115, expected_value: Self-employed, label: employment type} + - {column: J, row: 5115, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5117 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5117, expected_value: E12000003, label: geography} + - {column: D, row: 5117, expected_value: Females, label: sex} + - {column: E, row: 5117, expected_value: Self-employed, label: employment type} + - {column: J, row: 5117, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5119 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5119, expected_value: E12000003, label: geography} + - {column: D, row: 5119, expected_value: Females, label: sex} + - {column: E, row: 5119, expected_value: Self-employed, label: employment type} + - {column: J, row: 5119, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5121 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5121, expected_value: E12000003, label: geography} + - {column: D, row: 5121, expected_value: Females, label: sex} + - {column: E, row: 5121, expected_value: Self-employed, label: employment type} + - {column: J, row: 5121, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5123 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5123, expected_value: E12000003, label: geography} + - {column: D, row: 5123, expected_value: Females, label: sex} + - {column: E, row: 5123, expected_value: Self-employed, label: employment type} + - {column: J, row: 5123, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5127 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5127, expected_value: E12000003, label: geography} + - {column: D, row: 5127, expected_value: Females, label: sex} + - {column: E, row: 5127, expected_value: Self-employed, label: employment type} + - {column: J, row: 5127, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5129 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5129, expected_value: E12000003, label: geography} + - {column: D, row: 5129, expected_value: Females, label: sex} + - {column: E, row: 5129, expected_value: Self-employed, label: employment type} + - {column: J, row: 5129, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5131 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5131, expected_value: E12000003, label: geography} + - {column: D, row: 5131, expected_value: Females, label: sex} + - {column: E, row: 5131, expected_value: Self-employed, label: employment type} + - {column: J, row: 5131, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5133 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5133, expected_value: E12000003, label: geography} + - {column: D, row: 5133, expected_value: Females, label: sex} + - {column: E, row: 5133, expected_value: Self-employed, label: employment type} + - {column: J, row: 5133, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5137 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5137, expected_value: E12000003, label: geography} + - {column: D, row: 5137, expected_value: Females, label: sex} + - {column: E, row: 5137, expected_value: Self-employed, label: employment type} + - {column: J, row: 5137, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5141 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5141, expected_value: E12000003, label: geography} + - {column: D, row: 5141, expected_value: Females, label: sex} + - {column: E, row: 5141, expected_value: Self-employed, label: employment type} + - {column: J, row: 5141, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5143 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5143, expected_value: E12000003, label: geography} + - {column: D, row: 5143, expected_value: Females, label: sex} + - {column: E, row: 5143, expected_value: Self-employed, label: employment type} + - {column: J, row: 5143, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5145 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5145, expected_value: E12000003, label: geography} + - {column: D, row: 5145, expected_value: Females, label: sex} + - {column: E, row: 5145, expected_value: Self-employed, label: employment type} + - {column: J, row: 5145, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5147 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5147, expected_value: E12000003, label: geography} + - {column: D, row: 5147, expected_value: Females, label: sex} + - {column: E, row: 5147, expected_value: Self-employed, label: employment type} + - {column: J, row: 5147, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5151 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5151, expected_value: E12000003, label: geography} + - {column: D, row: 5151, expected_value: Females, label: sex} + - {column: E, row: 5151, expected_value: Self-employed, label: employment type} + - {column: J, row: 5151, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5159 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5159, expected_value: E12000003, label: geography} + - {column: D, row: 5159, expected_value: Females, label: sex} + - {column: E, row: 5159, expected_value: Self-employed, label: employment type} + - {column: J, row: 5159, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5161 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5161, expected_value: E12000003, label: geography} + - {column: D, row: 5161, expected_value: Females, label: sex} + - {column: E, row: 5161, expected_value: Self-employed, label: employment type} + - {column: J, row: 5161, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5163 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5163, expected_value: E12000003, label: geography} + - {column: D, row: 5163, expected_value: Females, label: sex} + - {column: E, row: 5163, expected_value: Self-employed, label: employment type} + - {column: J, row: 5163, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5165 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5165, expected_value: E12000003, label: geography} + - {column: D, row: 5165, expected_value: Females, label: sex} + - {column: E, row: 5165, expected_value: Self-employed, label: employment type} + - {column: J, row: 5165, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5169 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5169, expected_value: E12000003, label: geography} + - {column: D, row: 5169, expected_value: Females, label: sex} + - {column: E, row: 5169, expected_value: Self-employed, label: employment type} + - {column: J, row: 5169, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5171 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5171, expected_value: E12000003, label: geography} + - {column: D, row: 5171, expected_value: Females, label: sex} + - {column: E, row: 5171, expected_value: Self-employed, label: employment type} + - {column: J, row: 5171, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5175 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5175, expected_value: E12000003, label: geography} + - {column: D, row: 5175, expected_value: Females, label: sex} + - {column: E, row: 5175, expected_value: Self-employed, label: employment type} + - {column: J, row: 5175, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5179 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5179, expected_value: E12000003, label: geography} + - {column: D, row: 5179, expected_value: Females, label: sex} + - {column: E, row: 5179, expected_value: Self-employed, label: employment type} + - {column: J, row: 5179, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5181 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5181, expected_value: E12000003, label: geography} + - {column: D, row: 5181, expected_value: Females, label: sex} + - {column: E, row: 5181, expected_value: Self-employed, label: employment type} + - {column: J, row: 5181, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5185 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5185, expected_value: E12000003, label: geography} + - {column: D, row: 5185, expected_value: Females, label: sex} + - {column: E, row: 5185, expected_value: Self-employed, label: employment type} + - {column: J, row: 5185, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5186 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5186, expected_value: E12000004, label: geography} + - {column: D, row: 5186, expected_value: All persons, label: sex} + - {column: E, row: 5186, expected_value: Total, label: employment type} + - {column: J, row: 5186, expected_value: Value, label: measure} + - {column: L, row: 5187, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5188 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5188, expected_value: E12000004, label: geography} + - {column: D, row: 5188, expected_value: All persons, label: sex} + - {column: E, row: 5188, expected_value: Total, label: employment type} + - {column: J, row: 5188, expected_value: Value, label: measure} + - {column: L, row: 5189, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5190 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5190, expected_value: E12000004, label: geography} + - {column: D, row: 5190, expected_value: All persons, label: sex} + - {column: E, row: 5190, expected_value: Total, label: employment type} + - {column: J, row: 5190, expected_value: Value, label: measure} + - {column: L, row: 5191, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5192 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5192, expected_value: E12000004, label: geography} + - {column: D, row: 5192, expected_value: All persons, label: sex} + - {column: E, row: 5192, expected_value: Total, label: employment type} + - {column: J, row: 5192, expected_value: Value, label: measure} + - {column: L, row: 5193, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5194 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5194, expected_value: E12000004, label: geography} + - {column: D, row: 5194, expected_value: All persons, label: sex} + - {column: E, row: 5194, expected_value: Total, label: employment type} + - {column: J, row: 5194, expected_value: Value, label: measure} + - {column: L, row: 5195, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5196 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5196, expected_value: E12000004, label: geography} + - {column: D, row: 5196, expected_value: All persons, label: sex} + - {column: E, row: 5196, expected_value: Total, label: employment type} + - {column: J, row: 5196, expected_value: Value, label: measure} + - {column: L, row: 5197, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5198 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5198, expected_value: E12000004, label: geography} + - {column: D, row: 5198, expected_value: All persons, label: sex} + - {column: E, row: 5198, expected_value: Total, label: employment type} + - {column: J, row: 5198, expected_value: Value, label: measure} + - {column: L, row: 5199, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5200 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5200, expected_value: E12000004, label: geography} + - {column: D, row: 5200, expected_value: All persons, label: sex} + - {column: E, row: 5200, expected_value: Total, label: employment type} + - {column: J, row: 5200, expected_value: Value, label: measure} + - {column: L, row: 5201, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5202 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5202, expected_value: E12000004, label: geography} + - {column: D, row: 5202, expected_value: All persons, label: sex} + - {column: E, row: 5202, expected_value: Total, label: employment type} + - {column: J, row: 5202, expected_value: Value, label: measure} + - {column: L, row: 5203, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5204 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5204, expected_value: E12000004, label: geography} + - {column: D, row: 5204, expected_value: All persons, label: sex} + - {column: E, row: 5204, expected_value: Total, label: employment type} + - {column: J, row: 5204, expected_value: Value, label: measure} + - {column: L, row: 5205, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5206 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5206, expected_value: E12000004, label: geography} + - {column: D, row: 5206, expected_value: All persons, label: sex} + - {column: E, row: 5206, expected_value: Total, label: employment type} + - {column: J, row: 5206, expected_value: Value, label: measure} + - {column: L, row: 5207, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5208 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5208, expected_value: E12000004, label: geography} + - {column: D, row: 5208, expected_value: All persons, label: sex} + - {column: E, row: 5208, expected_value: Total, label: employment type} + - {column: J, row: 5208, expected_value: Value, label: measure} + - {column: L, row: 5209, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5210 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5210, expected_value: E12000004, label: geography} + - {column: D, row: 5210, expected_value: All persons, label: sex} + - {column: E, row: 5210, expected_value: Total, label: employment type} + - {column: J, row: 5210, expected_value: Value, label: measure} + - {column: L, row: 5211, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5212 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5212, expected_value: E12000004, label: geography} + - {column: D, row: 5212, expected_value: All persons, label: sex} + - {column: E, row: 5212, expected_value: Total, label: employment type} + - {column: J, row: 5212, expected_value: Value, label: measure} + - {column: L, row: 5213, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5214 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5214, expected_value: E12000004, label: geography} + - {column: D, row: 5214, expected_value: All persons, label: sex} + - {column: E, row: 5214, expected_value: Total, label: employment type} + - {column: J, row: 5214, expected_value: Value, label: measure} + - {column: L, row: 5215, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5216 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5216, expected_value: E12000004, label: geography} + - {column: D, row: 5216, expected_value: All persons, label: sex} + - {column: E, row: 5216, expected_value: Total, label: employment type} + - {column: J, row: 5216, expected_value: Value, label: measure} + - {column: L, row: 5217, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5218 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5218, expected_value: E12000004, label: geography} + - {column: D, row: 5218, expected_value: All persons, label: sex} + - {column: E, row: 5218, expected_value: Total, label: employment type} + - {column: J, row: 5218, expected_value: Value, label: measure} + - {column: L, row: 5219, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5220 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5220, expected_value: E12000004, label: geography} + - {column: D, row: 5220, expected_value: All persons, label: sex} + - {column: E, row: 5220, expected_value: Total, label: employment type} + - {column: J, row: 5220, expected_value: Value, label: measure} + - {column: L, row: 5221, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5222 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5222, expected_value: E12000004, label: geography} + - {column: D, row: 5222, expected_value: All persons, label: sex} + - {column: E, row: 5222, expected_value: Total, label: employment type} + - {column: J, row: 5222, expected_value: Value, label: measure} + - {column: L, row: 5223, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5224 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5224, expected_value: E12000004, label: geography} + - {column: D, row: 5224, expected_value: All persons, label: sex} + - {column: E, row: 5224, expected_value: Total, label: employment type} + - {column: J, row: 5224, expected_value: Value, label: measure} + - {column: L, row: 5225, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5226 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5226, expected_value: E12000004, label: geography} + - {column: D, row: 5226, expected_value: All persons, label: sex} + - {column: E, row: 5226, expected_value: Total, label: employment type} + - {column: J, row: 5226, expected_value: Value, label: measure} + - {column: L, row: 5227, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5228 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5228, expected_value: E12000004, label: geography} + - {column: D, row: 5228, expected_value: All persons, label: sex} + - {column: E, row: 5228, expected_value: Total, label: employment type} + - {column: J, row: 5228, expected_value: Value, label: measure} + - {column: L, row: 5229, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5230 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5230, expected_value: E12000004, label: geography} + - {column: D, row: 5230, expected_value: All persons, label: sex} + - {column: E, row: 5230, expected_value: Total, label: employment type} + - {column: J, row: 5230, expected_value: Value, label: measure} + - {column: L, row: 5231, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5232 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5232, expected_value: E12000004, label: geography} + - {column: D, row: 5232, expected_value: All persons, label: sex} + - {column: E, row: 5232, expected_value: Total, label: employment type} + - {column: J, row: 5232, expected_value: Value, label: measure} + - {column: L, row: 5233, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5234 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5234, expected_value: E12000004, label: geography} + - {column: D, row: 5234, expected_value: All persons, label: sex} + - {column: E, row: 5234, expected_value: Total, label: employment type} + - {column: J, row: 5234, expected_value: Value, label: measure} + - {column: L, row: 5235, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5236 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5236, expected_value: E12000004, label: geography} + - {column: D, row: 5236, expected_value: All persons, label: sex} + - {column: E, row: 5236, expected_value: Total, label: employment type} + - {column: J, row: 5236, expected_value: Value, label: measure} + - {column: L, row: 5237, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5240 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5240, expected_value: E12000004, label: geography} + - {column: D, row: 5240, expected_value: All persons, label: sex} + - {column: E, row: 5240, expected_value: Total, label: employment type} + - {column: J, row: 5240, expected_value: Value, label: measure} + - {column: L, row: 5241, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5242 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5242, expected_value: E12000004, label: geography} + - {column: D, row: 5242, expected_value: All persons, label: sex} + - {column: E, row: 5242, expected_value: Total, label: employment type} + - {column: J, row: 5242, expected_value: Value, label: measure} + - {column: L, row: 5243, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5244 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5244, expected_value: E12000004, label: geography} + - {column: D, row: 5244, expected_value: All persons, label: sex} + - {column: E, row: 5244, expected_value: Total, label: employment type} + - {column: J, row: 5244, expected_value: Value, label: measure} + - {column: L, row: 5245, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5246 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5246, expected_value: E12000004, label: geography} + - {column: D, row: 5246, expected_value: All persons, label: sex} + - {column: E, row: 5246, expected_value: Total, label: employment type} + - {column: J, row: 5246, expected_value: Value, label: measure} + - {column: L, row: 5247, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5248 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5248, expected_value: E12000004, label: geography} + - {column: D, row: 5248, expected_value: All persons, label: sex} + - {column: E, row: 5248, expected_value: Total, label: employment type} + - {column: J, row: 5248, expected_value: Value, label: measure} + - {column: L, row: 5249, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5250 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5250, expected_value: E12000004, label: geography} + - {column: D, row: 5250, expected_value: All persons, label: sex} + - {column: E, row: 5250, expected_value: Total, label: employment type} + - {column: J, row: 5250, expected_value: Value, label: measure} + - {column: L, row: 5251, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5252 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5252, expected_value: E12000004, label: geography} + - {column: D, row: 5252, expected_value: All persons, label: sex} + - {column: E, row: 5252, expected_value: Total, label: employment type} + - {column: J, row: 5252, expected_value: Value, label: measure} + - {column: L, row: 5253, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5254 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5254, expected_value: E12000004, label: geography} + - {column: D, row: 5254, expected_value: All persons, label: sex} + - {column: E, row: 5254, expected_value: Total, label: employment type} + - {column: J, row: 5254, expected_value: Value, label: measure} + - {column: L, row: 5255, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5256 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5256, expected_value: E12000004, label: geography} + - {column: D, row: 5256, expected_value: All persons, label: sex} + - {column: E, row: 5256, expected_value: Total, label: employment type} + - {column: J, row: 5256, expected_value: Value, label: measure} + - {column: L, row: 5257, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5187 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5187, expected_value: E12000004, label: geography} + - {column: D, row: 5187, expected_value: All persons, label: sex} + - {column: E, row: 5187, expected_value: Total, label: employment type} + - {column: J, row: 5187, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5189 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5189, expected_value: E12000004, label: geography} + - {column: D, row: 5189, expected_value: All persons, label: sex} + - {column: E, row: 5189, expected_value: Total, label: employment type} + - {column: J, row: 5189, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5191 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5191, expected_value: E12000004, label: geography} + - {column: D, row: 5191, expected_value: All persons, label: sex} + - {column: E, row: 5191, expected_value: Total, label: employment type} + - {column: J, row: 5191, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5193 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5193, expected_value: E12000004, label: geography} + - {column: D, row: 5193, expected_value: All persons, label: sex} + - {column: E, row: 5193, expected_value: Total, label: employment type} + - {column: J, row: 5193, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5195 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5195, expected_value: E12000004, label: geography} + - {column: D, row: 5195, expected_value: All persons, label: sex} + - {column: E, row: 5195, expected_value: Total, label: employment type} + - {column: J, row: 5195, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5197 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5197, expected_value: E12000004, label: geography} + - {column: D, row: 5197, expected_value: All persons, label: sex} + - {column: E, row: 5197, expected_value: Total, label: employment type} + - {column: J, row: 5197, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5199 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5199, expected_value: E12000004, label: geography} + - {column: D, row: 5199, expected_value: All persons, label: sex} + - {column: E, row: 5199, expected_value: Total, label: employment type} + - {column: J, row: 5199, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5201 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5201, expected_value: E12000004, label: geography} + - {column: D, row: 5201, expected_value: All persons, label: sex} + - {column: E, row: 5201, expected_value: Total, label: employment type} + - {column: J, row: 5201, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5203 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5203, expected_value: E12000004, label: geography} + - {column: D, row: 5203, expected_value: All persons, label: sex} + - {column: E, row: 5203, expected_value: Total, label: employment type} + - {column: J, row: 5203, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5205 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5205, expected_value: E12000004, label: geography} + - {column: D, row: 5205, expected_value: All persons, label: sex} + - {column: E, row: 5205, expected_value: Total, label: employment type} + - {column: J, row: 5205, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5207 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5207, expected_value: E12000004, label: geography} + - {column: D, row: 5207, expected_value: All persons, label: sex} + - {column: E, row: 5207, expected_value: Total, label: employment type} + - {column: J, row: 5207, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5209 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5209, expected_value: E12000004, label: geography} + - {column: D, row: 5209, expected_value: All persons, label: sex} + - {column: E, row: 5209, expected_value: Total, label: employment type} + - {column: J, row: 5209, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5211 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5211, expected_value: E12000004, label: geography} + - {column: D, row: 5211, expected_value: All persons, label: sex} + - {column: E, row: 5211, expected_value: Total, label: employment type} + - {column: J, row: 5211, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5213 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5213, expected_value: E12000004, label: geography} + - {column: D, row: 5213, expected_value: All persons, label: sex} + - {column: E, row: 5213, expected_value: Total, label: employment type} + - {column: J, row: 5213, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5215 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5215, expected_value: E12000004, label: geography} + - {column: D, row: 5215, expected_value: All persons, label: sex} + - {column: E, row: 5215, expected_value: Total, label: employment type} + - {column: J, row: 5215, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5217 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5217, expected_value: E12000004, label: geography} + - {column: D, row: 5217, expected_value: All persons, label: sex} + - {column: E, row: 5217, expected_value: Total, label: employment type} + - {column: J, row: 5217, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5219 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5219, expected_value: E12000004, label: geography} + - {column: D, row: 5219, expected_value: All persons, label: sex} + - {column: E, row: 5219, expected_value: Total, label: employment type} + - {column: J, row: 5219, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5221 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5221, expected_value: E12000004, label: geography} + - {column: D, row: 5221, expected_value: All persons, label: sex} + - {column: E, row: 5221, expected_value: Total, label: employment type} + - {column: J, row: 5221, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5223 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5223, expected_value: E12000004, label: geography} + - {column: D, row: 5223, expected_value: All persons, label: sex} + - {column: E, row: 5223, expected_value: Total, label: employment type} + - {column: J, row: 5223, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5225 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5225, expected_value: E12000004, label: geography} + - {column: D, row: 5225, expected_value: All persons, label: sex} + - {column: E, row: 5225, expected_value: Total, label: employment type} + - {column: J, row: 5225, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5227 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5227, expected_value: E12000004, label: geography} + - {column: D, row: 5227, expected_value: All persons, label: sex} + - {column: E, row: 5227, expected_value: Total, label: employment type} + - {column: J, row: 5227, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5229 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5229, expected_value: E12000004, label: geography} + - {column: D, row: 5229, expected_value: All persons, label: sex} + - {column: E, row: 5229, expected_value: Total, label: employment type} + - {column: J, row: 5229, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5231 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5231, expected_value: E12000004, label: geography} + - {column: D, row: 5231, expected_value: All persons, label: sex} + - {column: E, row: 5231, expected_value: Total, label: employment type} + - {column: J, row: 5231, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5233 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5233, expected_value: E12000004, label: geography} + - {column: D, row: 5233, expected_value: All persons, label: sex} + - {column: E, row: 5233, expected_value: Total, label: employment type} + - {column: J, row: 5233, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5235 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5235, expected_value: E12000004, label: geography} + - {column: D, row: 5235, expected_value: All persons, label: sex} + - {column: E, row: 5235, expected_value: Total, label: employment type} + - {column: J, row: 5235, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5237 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5237, expected_value: E12000004, label: geography} + - {column: D, row: 5237, expected_value: All persons, label: sex} + - {column: E, row: 5237, expected_value: Total, label: employment type} + - {column: J, row: 5237, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5241 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5241, expected_value: E12000004, label: geography} + - {column: D, row: 5241, expected_value: All persons, label: sex} + - {column: E, row: 5241, expected_value: Total, label: employment type} + - {column: J, row: 5241, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5243 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5243, expected_value: E12000004, label: geography} + - {column: D, row: 5243, expected_value: All persons, label: sex} + - {column: E, row: 5243, expected_value: Total, label: employment type} + - {column: J, row: 5243, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5245 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5245, expected_value: E12000004, label: geography} + - {column: D, row: 5245, expected_value: All persons, label: sex} + - {column: E, row: 5245, expected_value: Total, label: employment type} + - {column: J, row: 5245, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5247 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5247, expected_value: E12000004, label: geography} + - {column: D, row: 5247, expected_value: All persons, label: sex} + - {column: E, row: 5247, expected_value: Total, label: employment type} + - {column: J, row: 5247, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5249 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5249, expected_value: E12000004, label: geography} + - {column: D, row: 5249, expected_value: All persons, label: sex} + - {column: E, row: 5249, expected_value: Total, label: employment type} + - {column: J, row: 5249, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5251 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5251, expected_value: E12000004, label: geography} + - {column: D, row: 5251, expected_value: All persons, label: sex} + - {column: E, row: 5251, expected_value: Total, label: employment type} + - {column: J, row: 5251, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5253 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5253, expected_value: E12000004, label: geography} + - {column: D, row: 5253, expected_value: All persons, label: sex} + - {column: E, row: 5253, expected_value: Total, label: employment type} + - {column: J, row: 5253, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5255 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5255, expected_value: E12000004, label: geography} + - {column: D, row: 5255, expected_value: All persons, label: sex} + - {column: E, row: 5255, expected_value: Total, label: employment type} + - {column: J, row: 5255, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5257 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5257, expected_value: E12000004, label: geography} + - {column: D, row: 5257, expected_value: All persons, label: sex} + - {column: E, row: 5257, expected_value: Total, label: employment type} + - {column: J, row: 5257, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5402 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5402, expected_value: E12000004, label: geography} + - {column: D, row: 5402, expected_value: All persons, label: sex} + - {column: E, row: 5402, expected_value: Employee, label: employment type} + - {column: J, row: 5402, expected_value: Value, label: measure} + - {column: L, row: 5403, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5404 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5404, expected_value: E12000004, label: geography} + - {column: D, row: 5404, expected_value: All persons, label: sex} + - {column: E, row: 5404, expected_value: Employee, label: employment type} + - {column: J, row: 5404, expected_value: Value, label: measure} + - {column: L, row: 5405, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5406 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5406, expected_value: E12000004, label: geography} + - {column: D, row: 5406, expected_value: All persons, label: sex} + - {column: E, row: 5406, expected_value: Employee, label: employment type} + - {column: J, row: 5406, expected_value: Value, label: measure} + - {column: L, row: 5407, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5408 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5408, expected_value: E12000004, label: geography} + - {column: D, row: 5408, expected_value: All persons, label: sex} + - {column: E, row: 5408, expected_value: Employee, label: employment type} + - {column: J, row: 5408, expected_value: Value, label: measure} + - {column: L, row: 5409, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5410 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5410, expected_value: E12000004, label: geography} + - {column: D, row: 5410, expected_value: All persons, label: sex} + - {column: E, row: 5410, expected_value: Employee, label: employment type} + - {column: J, row: 5410, expected_value: Value, label: measure} + - {column: L, row: 5411, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5412 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5412, expected_value: E12000004, label: geography} + - {column: D, row: 5412, expected_value: All persons, label: sex} + - {column: E, row: 5412, expected_value: Employee, label: employment type} + - {column: J, row: 5412, expected_value: Value, label: measure} + - {column: L, row: 5413, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5414 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5414, expected_value: E12000004, label: geography} + - {column: D, row: 5414, expected_value: All persons, label: sex} + - {column: E, row: 5414, expected_value: Employee, label: employment type} + - {column: J, row: 5414, expected_value: Value, label: measure} + - {column: L, row: 5415, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5416 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5416, expected_value: E12000004, label: geography} + - {column: D, row: 5416, expected_value: All persons, label: sex} + - {column: E, row: 5416, expected_value: Employee, label: employment type} + - {column: J, row: 5416, expected_value: Value, label: measure} + - {column: L, row: 5417, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5418 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5418, expected_value: E12000004, label: geography} + - {column: D, row: 5418, expected_value: All persons, label: sex} + - {column: E, row: 5418, expected_value: Employee, label: employment type} + - {column: J, row: 5418, expected_value: Value, label: measure} + - {column: L, row: 5419, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5420 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5420, expected_value: E12000004, label: geography} + - {column: D, row: 5420, expected_value: All persons, label: sex} + - {column: E, row: 5420, expected_value: Employee, label: employment type} + - {column: J, row: 5420, expected_value: Value, label: measure} + - {column: L, row: 5421, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5422 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5422, expected_value: E12000004, label: geography} + - {column: D, row: 5422, expected_value: All persons, label: sex} + - {column: E, row: 5422, expected_value: Employee, label: employment type} + - {column: J, row: 5422, expected_value: Value, label: measure} + - {column: L, row: 5423, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5424 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5424, expected_value: E12000004, label: geography} + - {column: D, row: 5424, expected_value: All persons, label: sex} + - {column: E, row: 5424, expected_value: Employee, label: employment type} + - {column: J, row: 5424, expected_value: Value, label: measure} + - {column: L, row: 5425, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5426 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5426, expected_value: E12000004, label: geography} + - {column: D, row: 5426, expected_value: All persons, label: sex} + - {column: E, row: 5426, expected_value: Employee, label: employment type} + - {column: J, row: 5426, expected_value: Value, label: measure} + - {column: L, row: 5427, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5428 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5428, expected_value: E12000004, label: geography} + - {column: D, row: 5428, expected_value: All persons, label: sex} + - {column: E, row: 5428, expected_value: Employee, label: employment type} + - {column: J, row: 5428, expected_value: Value, label: measure} + - {column: L, row: 5429, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5430 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5430, expected_value: E12000004, label: geography} + - {column: D, row: 5430, expected_value: All persons, label: sex} + - {column: E, row: 5430, expected_value: Employee, label: employment type} + - {column: J, row: 5430, expected_value: Value, label: measure} + - {column: L, row: 5431, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5432 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5432, expected_value: E12000004, label: geography} + - {column: D, row: 5432, expected_value: All persons, label: sex} + - {column: E, row: 5432, expected_value: Employee, label: employment type} + - {column: J, row: 5432, expected_value: Value, label: measure} + - {column: L, row: 5433, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5434 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5434, expected_value: E12000004, label: geography} + - {column: D, row: 5434, expected_value: All persons, label: sex} + - {column: E, row: 5434, expected_value: Employee, label: employment type} + - {column: J, row: 5434, expected_value: Value, label: measure} + - {column: L, row: 5435, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5436 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5436, expected_value: E12000004, label: geography} + - {column: D, row: 5436, expected_value: All persons, label: sex} + - {column: E, row: 5436, expected_value: Employee, label: employment type} + - {column: J, row: 5436, expected_value: Value, label: measure} + - {column: L, row: 5437, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5438 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5438, expected_value: E12000004, label: geography} + - {column: D, row: 5438, expected_value: All persons, label: sex} + - {column: E, row: 5438, expected_value: Employee, label: employment type} + - {column: J, row: 5438, expected_value: Value, label: measure} + - {column: L, row: 5439, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5440 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5440, expected_value: E12000004, label: geography} + - {column: D, row: 5440, expected_value: All persons, label: sex} + - {column: E, row: 5440, expected_value: Employee, label: employment type} + - {column: J, row: 5440, expected_value: Value, label: measure} + - {column: L, row: 5441, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5442 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5442, expected_value: E12000004, label: geography} + - {column: D, row: 5442, expected_value: All persons, label: sex} + - {column: E, row: 5442, expected_value: Employee, label: employment type} + - {column: J, row: 5442, expected_value: Value, label: measure} + - {column: L, row: 5443, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5444 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5444, expected_value: E12000004, label: geography} + - {column: D, row: 5444, expected_value: All persons, label: sex} + - {column: E, row: 5444, expected_value: Employee, label: employment type} + - {column: J, row: 5444, expected_value: Value, label: measure} + - {column: L, row: 5445, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5446 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5446, expected_value: E12000004, label: geography} + - {column: D, row: 5446, expected_value: All persons, label: sex} + - {column: E, row: 5446, expected_value: Employee, label: employment type} + - {column: J, row: 5446, expected_value: Value, label: measure} + - {column: L, row: 5447, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5448 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5448, expected_value: E12000004, label: geography} + - {column: D, row: 5448, expected_value: All persons, label: sex} + - {column: E, row: 5448, expected_value: Employee, label: employment type} + - {column: J, row: 5448, expected_value: Value, label: measure} + - {column: L, row: 5449, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5450 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5450, expected_value: E12000004, label: geography} + - {column: D, row: 5450, expected_value: All persons, label: sex} + - {column: E, row: 5450, expected_value: Employee, label: employment type} + - {column: J, row: 5450, expected_value: Value, label: measure} + - {column: L, row: 5451, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5452 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5452, expected_value: E12000004, label: geography} + - {column: D, row: 5452, expected_value: All persons, label: sex} + - {column: E, row: 5452, expected_value: Employee, label: employment type} + - {column: J, row: 5452, expected_value: Value, label: measure} + - {column: L, row: 5453, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5456 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5456, expected_value: E12000004, label: geography} + - {column: D, row: 5456, expected_value: All persons, label: sex} + - {column: E, row: 5456, expected_value: Employee, label: employment type} + - {column: J, row: 5456, expected_value: Value, label: measure} + - {column: L, row: 5457, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5458 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5458, expected_value: E12000004, label: geography} + - {column: D, row: 5458, expected_value: All persons, label: sex} + - {column: E, row: 5458, expected_value: Employee, label: employment type} + - {column: J, row: 5458, expected_value: Value, label: measure} + - {column: L, row: 5459, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5460 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5460, expected_value: E12000004, label: geography} + - {column: D, row: 5460, expected_value: All persons, label: sex} + - {column: E, row: 5460, expected_value: Employee, label: employment type} + - {column: J, row: 5460, expected_value: Value, label: measure} + - {column: L, row: 5461, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5462 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5462, expected_value: E12000004, label: geography} + - {column: D, row: 5462, expected_value: All persons, label: sex} + - {column: E, row: 5462, expected_value: Employee, label: employment type} + - {column: J, row: 5462, expected_value: Value, label: measure} + - {column: L, row: 5463, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5464 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5464, expected_value: E12000004, label: geography} + - {column: D, row: 5464, expected_value: All persons, label: sex} + - {column: E, row: 5464, expected_value: Employee, label: employment type} + - {column: J, row: 5464, expected_value: Value, label: measure} + - {column: L, row: 5465, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5466 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5466, expected_value: E12000004, label: geography} + - {column: D, row: 5466, expected_value: All persons, label: sex} + - {column: E, row: 5466, expected_value: Employee, label: employment type} + - {column: J, row: 5466, expected_value: Value, label: measure} + - {column: L, row: 5467, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5468 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5468, expected_value: E12000004, label: geography} + - {column: D, row: 5468, expected_value: All persons, label: sex} + - {column: E, row: 5468, expected_value: Employee, label: employment type} + - {column: J, row: 5468, expected_value: Value, label: measure} + - {column: L, row: 5469, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5470 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5470, expected_value: E12000004, label: geography} + - {column: D, row: 5470, expected_value: All persons, label: sex} + - {column: E, row: 5470, expected_value: Employee, label: employment type} + - {column: J, row: 5470, expected_value: Value, label: measure} + - {column: L, row: 5471, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5472 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5472, expected_value: E12000004, label: geography} + - {column: D, row: 5472, expected_value: All persons, label: sex} + - {column: E, row: 5472, expected_value: Employee, label: employment type} + - {column: J, row: 5472, expected_value: Value, label: measure} + - {column: L, row: 5473, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5403 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5403, expected_value: E12000004, label: geography} + - {column: D, row: 5403, expected_value: All persons, label: sex} + - {column: E, row: 5403, expected_value: Employee, label: employment type} + - {column: J, row: 5403, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5405 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5405, expected_value: E12000004, label: geography} + - {column: D, row: 5405, expected_value: All persons, label: sex} + - {column: E, row: 5405, expected_value: Employee, label: employment type} + - {column: J, row: 5405, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5407 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5407, expected_value: E12000004, label: geography} + - {column: D, row: 5407, expected_value: All persons, label: sex} + - {column: E, row: 5407, expected_value: Employee, label: employment type} + - {column: J, row: 5407, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5409 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5409, expected_value: E12000004, label: geography} + - {column: D, row: 5409, expected_value: All persons, label: sex} + - {column: E, row: 5409, expected_value: Employee, label: employment type} + - {column: J, row: 5409, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5411 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5411, expected_value: E12000004, label: geography} + - {column: D, row: 5411, expected_value: All persons, label: sex} + - {column: E, row: 5411, expected_value: Employee, label: employment type} + - {column: J, row: 5411, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5413 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5413, expected_value: E12000004, label: geography} + - {column: D, row: 5413, expected_value: All persons, label: sex} + - {column: E, row: 5413, expected_value: Employee, label: employment type} + - {column: J, row: 5413, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5415 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5415, expected_value: E12000004, label: geography} + - {column: D, row: 5415, expected_value: All persons, label: sex} + - {column: E, row: 5415, expected_value: Employee, label: employment type} + - {column: J, row: 5415, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5417 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5417, expected_value: E12000004, label: geography} + - {column: D, row: 5417, expected_value: All persons, label: sex} + - {column: E, row: 5417, expected_value: Employee, label: employment type} + - {column: J, row: 5417, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5419 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5419, expected_value: E12000004, label: geography} + - {column: D, row: 5419, expected_value: All persons, label: sex} + - {column: E, row: 5419, expected_value: Employee, label: employment type} + - {column: J, row: 5419, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5421 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5421, expected_value: E12000004, label: geography} + - {column: D, row: 5421, expected_value: All persons, label: sex} + - {column: E, row: 5421, expected_value: Employee, label: employment type} + - {column: J, row: 5421, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5423 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5423, expected_value: E12000004, label: geography} + - {column: D, row: 5423, expected_value: All persons, label: sex} + - {column: E, row: 5423, expected_value: Employee, label: employment type} + - {column: J, row: 5423, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5425 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5425, expected_value: E12000004, label: geography} + - {column: D, row: 5425, expected_value: All persons, label: sex} + - {column: E, row: 5425, expected_value: Employee, label: employment type} + - {column: J, row: 5425, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5427 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5427, expected_value: E12000004, label: geography} + - {column: D, row: 5427, expected_value: All persons, label: sex} + - {column: E, row: 5427, expected_value: Employee, label: employment type} + - {column: J, row: 5427, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5429 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5429, expected_value: E12000004, label: geography} + - {column: D, row: 5429, expected_value: All persons, label: sex} + - {column: E, row: 5429, expected_value: Employee, label: employment type} + - {column: J, row: 5429, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5431 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5431, expected_value: E12000004, label: geography} + - {column: D, row: 5431, expected_value: All persons, label: sex} + - {column: E, row: 5431, expected_value: Employee, label: employment type} + - {column: J, row: 5431, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5433 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5433, expected_value: E12000004, label: geography} + - {column: D, row: 5433, expected_value: All persons, label: sex} + - {column: E, row: 5433, expected_value: Employee, label: employment type} + - {column: J, row: 5433, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5435 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5435, expected_value: E12000004, label: geography} + - {column: D, row: 5435, expected_value: All persons, label: sex} + - {column: E, row: 5435, expected_value: Employee, label: employment type} + - {column: J, row: 5435, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5437 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5437, expected_value: E12000004, label: geography} + - {column: D, row: 5437, expected_value: All persons, label: sex} + - {column: E, row: 5437, expected_value: Employee, label: employment type} + - {column: J, row: 5437, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5439 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5439, expected_value: E12000004, label: geography} + - {column: D, row: 5439, expected_value: All persons, label: sex} + - {column: E, row: 5439, expected_value: Employee, label: employment type} + - {column: J, row: 5439, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5441 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5441, expected_value: E12000004, label: geography} + - {column: D, row: 5441, expected_value: All persons, label: sex} + - {column: E, row: 5441, expected_value: Employee, label: employment type} + - {column: J, row: 5441, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5443 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5443, expected_value: E12000004, label: geography} + - {column: D, row: 5443, expected_value: All persons, label: sex} + - {column: E, row: 5443, expected_value: Employee, label: employment type} + - {column: J, row: 5443, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5445 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5445, expected_value: E12000004, label: geography} + - {column: D, row: 5445, expected_value: All persons, label: sex} + - {column: E, row: 5445, expected_value: Employee, label: employment type} + - {column: J, row: 5445, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5447 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5447, expected_value: E12000004, label: geography} + - {column: D, row: 5447, expected_value: All persons, label: sex} + - {column: E, row: 5447, expected_value: Employee, label: employment type} + - {column: J, row: 5447, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5449 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5449, expected_value: E12000004, label: geography} + - {column: D, row: 5449, expected_value: All persons, label: sex} + - {column: E, row: 5449, expected_value: Employee, label: employment type} + - {column: J, row: 5449, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5451 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5451, expected_value: E12000004, label: geography} + - {column: D, row: 5451, expected_value: All persons, label: sex} + - {column: E, row: 5451, expected_value: Employee, label: employment type} + - {column: J, row: 5451, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5453 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5453, expected_value: E12000004, label: geography} + - {column: D, row: 5453, expected_value: All persons, label: sex} + - {column: E, row: 5453, expected_value: Employee, label: employment type} + - {column: J, row: 5453, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5457 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5457, expected_value: E12000004, label: geography} + - {column: D, row: 5457, expected_value: All persons, label: sex} + - {column: E, row: 5457, expected_value: Employee, label: employment type} + - {column: J, row: 5457, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5459 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5459, expected_value: E12000004, label: geography} + - {column: D, row: 5459, expected_value: All persons, label: sex} + - {column: E, row: 5459, expected_value: Employee, label: employment type} + - {column: J, row: 5459, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5461 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5461, expected_value: E12000004, label: geography} + - {column: D, row: 5461, expected_value: All persons, label: sex} + - {column: E, row: 5461, expected_value: Employee, label: employment type} + - {column: J, row: 5461, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5463 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5463, expected_value: E12000004, label: geography} + - {column: D, row: 5463, expected_value: All persons, label: sex} + - {column: E, row: 5463, expected_value: Employee, label: employment type} + - {column: J, row: 5463, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5465 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5465, expected_value: E12000004, label: geography} + - {column: D, row: 5465, expected_value: All persons, label: sex} + - {column: E, row: 5465, expected_value: Employee, label: employment type} + - {column: J, row: 5465, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5467 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5467, expected_value: E12000004, label: geography} + - {column: D, row: 5467, expected_value: All persons, label: sex} + - {column: E, row: 5467, expected_value: Employee, label: employment type} + - {column: J, row: 5467, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5469 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5469, expected_value: E12000004, label: geography} + - {column: D, row: 5469, expected_value: All persons, label: sex} + - {column: E, row: 5469, expected_value: Employee, label: employment type} + - {column: J, row: 5469, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5471 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5471, expected_value: E12000004, label: geography} + - {column: D, row: 5471, expected_value: All persons, label: sex} + - {column: E, row: 5471, expected_value: Employee, label: employment type} + - {column: J, row: 5471, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5473 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5473, expected_value: E12000004, label: geography} + - {column: D, row: 5473, expected_value: All persons, label: sex} + - {column: E, row: 5473, expected_value: Employee, label: employment type} + - {column: J, row: 5473, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5618 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5618, expected_value: E12000004, label: geography} + - {column: D, row: 5618, expected_value: All persons, label: sex} + - {column: E, row: 5618, expected_value: Self-employed, label: employment type} + - {column: J, row: 5618, expected_value: Value, label: measure} + - {column: L, row: 5619, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5620 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5620, expected_value: E12000004, label: geography} + - {column: D, row: 5620, expected_value: All persons, label: sex} + - {column: E, row: 5620, expected_value: Self-employed, label: employment type} + - {column: J, row: 5620, expected_value: Value, label: measure} + - {column: L, row: 5621, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5622 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5622, expected_value: E12000004, label: geography} + - {column: D, row: 5622, expected_value: All persons, label: sex} + - {column: E, row: 5622, expected_value: Self-employed, label: employment type} + - {column: J, row: 5622, expected_value: Value, label: measure} + - {column: L, row: 5623, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5624 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5624, expected_value: E12000004, label: geography} + - {column: D, row: 5624, expected_value: All persons, label: sex} + - {column: E, row: 5624, expected_value: Self-employed, label: employment type} + - {column: J, row: 5624, expected_value: Value, label: measure} + - {column: L, row: 5625, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5626 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5626, expected_value: E12000004, label: geography} + - {column: D, row: 5626, expected_value: All persons, label: sex} + - {column: E, row: 5626, expected_value: Self-employed, label: employment type} + - {column: J, row: 5626, expected_value: Value, label: measure} + - {column: L, row: 5627, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5628 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5628, expected_value: E12000004, label: geography} + - {column: D, row: 5628, expected_value: All persons, label: sex} + - {column: E, row: 5628, expected_value: Self-employed, label: employment type} + - {column: J, row: 5628, expected_value: Value, label: measure} + - {column: L, row: 5629, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5630 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5630, expected_value: E12000004, label: geography} + - {column: D, row: 5630, expected_value: All persons, label: sex} + - {column: E, row: 5630, expected_value: Self-employed, label: employment type} + - {column: J, row: 5630, expected_value: Value, label: measure} + - {column: L, row: 5631, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5632 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5632, expected_value: E12000004, label: geography} + - {column: D, row: 5632, expected_value: All persons, label: sex} + - {column: E, row: 5632, expected_value: Self-employed, label: employment type} + - {column: J, row: 5632, expected_value: Value, label: measure} + - {column: L, row: 5633, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5634 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5634, expected_value: E12000004, label: geography} + - {column: D, row: 5634, expected_value: All persons, label: sex} + - {column: E, row: 5634, expected_value: Self-employed, label: employment type} + - {column: J, row: 5634, expected_value: Value, label: measure} + - {column: L, row: 5635, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5636 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5636, expected_value: E12000004, label: geography} + - {column: D, row: 5636, expected_value: All persons, label: sex} + - {column: E, row: 5636, expected_value: Self-employed, label: employment type} + - {column: J, row: 5636, expected_value: Value, label: measure} + - {column: L, row: 5637, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5638 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5638, expected_value: E12000004, label: geography} + - {column: D, row: 5638, expected_value: All persons, label: sex} + - {column: E, row: 5638, expected_value: Self-employed, label: employment type} + - {column: J, row: 5638, expected_value: Value, label: measure} + - {column: L, row: 5639, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5640 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5640, expected_value: E12000004, label: geography} + - {column: D, row: 5640, expected_value: All persons, label: sex} + - {column: E, row: 5640, expected_value: Self-employed, label: employment type} + - {column: J, row: 5640, expected_value: Value, label: measure} + - {column: L, row: 5641, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5642 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5642, expected_value: E12000004, label: geography} + - {column: D, row: 5642, expected_value: All persons, label: sex} + - {column: E, row: 5642, expected_value: Self-employed, label: employment type} + - {column: J, row: 5642, expected_value: Value, label: measure} + - {column: L, row: 5643, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5644 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5644, expected_value: E12000004, label: geography} + - {column: D, row: 5644, expected_value: All persons, label: sex} + - {column: E, row: 5644, expected_value: Self-employed, label: employment type} + - {column: J, row: 5644, expected_value: Value, label: measure} + - {column: L, row: 5645, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5646 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5646, expected_value: E12000004, label: geography} + - {column: D, row: 5646, expected_value: All persons, label: sex} + - {column: E, row: 5646, expected_value: Self-employed, label: employment type} + - {column: J, row: 5646, expected_value: Value, label: measure} + - {column: L, row: 5647, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5648 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5648, expected_value: E12000004, label: geography} + - {column: D, row: 5648, expected_value: All persons, label: sex} + - {column: E, row: 5648, expected_value: Self-employed, label: employment type} + - {column: J, row: 5648, expected_value: Value, label: measure} + - {column: L, row: 5649, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5650 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5650, expected_value: E12000004, label: geography} + - {column: D, row: 5650, expected_value: All persons, label: sex} + - {column: E, row: 5650, expected_value: Self-employed, label: employment type} + - {column: J, row: 5650, expected_value: Value, label: measure} + - {column: L, row: 5651, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5652 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5652, expected_value: E12000004, label: geography} + - {column: D, row: 5652, expected_value: All persons, label: sex} + - {column: E, row: 5652, expected_value: Self-employed, label: employment type} + - {column: J, row: 5652, expected_value: Value, label: measure} + - {column: L, row: 5653, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5654 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5654, expected_value: E12000004, label: geography} + - {column: D, row: 5654, expected_value: All persons, label: sex} + - {column: E, row: 5654, expected_value: Self-employed, label: employment type} + - {column: J, row: 5654, expected_value: Value, label: measure} + - {column: L, row: 5655, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5656 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5656, expected_value: E12000004, label: geography} + - {column: D, row: 5656, expected_value: All persons, label: sex} + - {column: E, row: 5656, expected_value: Self-employed, label: employment type} + - {column: J, row: 5656, expected_value: Value, label: measure} + - {column: L, row: 5657, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5658 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5658, expected_value: E12000004, label: geography} + - {column: D, row: 5658, expected_value: All persons, label: sex} + - {column: E, row: 5658, expected_value: Self-employed, label: employment type} + - {column: J, row: 5658, expected_value: Value, label: measure} + - {column: L, row: 5659, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5660 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5660, expected_value: E12000004, label: geography} + - {column: D, row: 5660, expected_value: All persons, label: sex} + - {column: E, row: 5660, expected_value: Self-employed, label: employment type} + - {column: J, row: 5660, expected_value: Value, label: measure} + - {column: L, row: 5661, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5662 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5662, expected_value: E12000004, label: geography} + - {column: D, row: 5662, expected_value: All persons, label: sex} + - {column: E, row: 5662, expected_value: Self-employed, label: employment type} + - {column: J, row: 5662, expected_value: Value, label: measure} + - {column: L, row: 5663, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5664 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5664, expected_value: E12000004, label: geography} + - {column: D, row: 5664, expected_value: All persons, label: sex} + - {column: E, row: 5664, expected_value: Self-employed, label: employment type} + - {column: J, row: 5664, expected_value: Value, label: measure} + - {column: L, row: 5665, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5666 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5666, expected_value: E12000004, label: geography} + - {column: D, row: 5666, expected_value: All persons, label: sex} + - {column: E, row: 5666, expected_value: Self-employed, label: employment type} + - {column: J, row: 5666, expected_value: Value, label: measure} + - {column: L, row: 5667, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5668 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5668, expected_value: E12000004, label: geography} + - {column: D, row: 5668, expected_value: All persons, label: sex} + - {column: E, row: 5668, expected_value: Self-employed, label: employment type} + - {column: J, row: 5668, expected_value: Value, label: measure} + - {column: L, row: 5669, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5672 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5672, expected_value: E12000004, label: geography} + - {column: D, row: 5672, expected_value: All persons, label: sex} + - {column: E, row: 5672, expected_value: Self-employed, label: employment type} + - {column: J, row: 5672, expected_value: Value, label: measure} + - {column: L, row: 5673, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5674 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5674, expected_value: E12000004, label: geography} + - {column: D, row: 5674, expected_value: All persons, label: sex} + - {column: E, row: 5674, expected_value: Self-employed, label: employment type} + - {column: J, row: 5674, expected_value: Value, label: measure} + - {column: L, row: 5675, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5676 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5676, expected_value: E12000004, label: geography} + - {column: D, row: 5676, expected_value: All persons, label: sex} + - {column: E, row: 5676, expected_value: Self-employed, label: employment type} + - {column: J, row: 5676, expected_value: Value, label: measure} + - {column: L, row: 5677, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5678 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5678, expected_value: E12000004, label: geography} + - {column: D, row: 5678, expected_value: All persons, label: sex} + - {column: E, row: 5678, expected_value: Self-employed, label: employment type} + - {column: J, row: 5678, expected_value: Value, label: measure} + - {column: L, row: 5679, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5680 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5680, expected_value: E12000004, label: geography} + - {column: D, row: 5680, expected_value: All persons, label: sex} + - {column: E, row: 5680, expected_value: Self-employed, label: employment type} + - {column: J, row: 5680, expected_value: Value, label: measure} + - {column: L, row: 5681, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5682 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5682, expected_value: E12000004, label: geography} + - {column: D, row: 5682, expected_value: All persons, label: sex} + - {column: E, row: 5682, expected_value: Self-employed, label: employment type} + - {column: J, row: 5682, expected_value: Value, label: measure} + - {column: L, row: 5683, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5684 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5684, expected_value: E12000004, label: geography} + - {column: D, row: 5684, expected_value: All persons, label: sex} + - {column: E, row: 5684, expected_value: Self-employed, label: employment type} + - {column: J, row: 5684, expected_value: Value, label: measure} + - {column: L, row: 5685, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5686 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5686, expected_value: E12000004, label: geography} + - {column: D, row: 5686, expected_value: All persons, label: sex} + - {column: E, row: 5686, expected_value: Self-employed, label: employment type} + - {column: J, row: 5686, expected_value: Value, label: measure} + - {column: L, row: 5687, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5688 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5688, expected_value: E12000004, label: geography} + - {column: D, row: 5688, expected_value: All persons, label: sex} + - {column: E, row: 5688, expected_value: Self-employed, label: employment type} + - {column: J, row: 5688, expected_value: Value, label: measure} + - {column: L, row: 5689, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5619 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5619, expected_value: E12000004, label: geography} + - {column: D, row: 5619, expected_value: All persons, label: sex} + - {column: E, row: 5619, expected_value: Self-employed, label: employment type} + - {column: J, row: 5619, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5621 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5621, expected_value: E12000004, label: geography} + - {column: D, row: 5621, expected_value: All persons, label: sex} + - {column: E, row: 5621, expected_value: Self-employed, label: employment type} + - {column: J, row: 5621, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5623 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5623, expected_value: E12000004, label: geography} + - {column: D, row: 5623, expected_value: All persons, label: sex} + - {column: E, row: 5623, expected_value: Self-employed, label: employment type} + - {column: J, row: 5623, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5625 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5625, expected_value: E12000004, label: geography} + - {column: D, row: 5625, expected_value: All persons, label: sex} + - {column: E, row: 5625, expected_value: Self-employed, label: employment type} + - {column: J, row: 5625, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5627 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5627, expected_value: E12000004, label: geography} + - {column: D, row: 5627, expected_value: All persons, label: sex} + - {column: E, row: 5627, expected_value: Self-employed, label: employment type} + - {column: J, row: 5627, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5629 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5629, expected_value: E12000004, label: geography} + - {column: D, row: 5629, expected_value: All persons, label: sex} + - {column: E, row: 5629, expected_value: Self-employed, label: employment type} + - {column: J, row: 5629, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5631 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5631, expected_value: E12000004, label: geography} + - {column: D, row: 5631, expected_value: All persons, label: sex} + - {column: E, row: 5631, expected_value: Self-employed, label: employment type} + - {column: J, row: 5631, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5633 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5633, expected_value: E12000004, label: geography} + - {column: D, row: 5633, expected_value: All persons, label: sex} + - {column: E, row: 5633, expected_value: Self-employed, label: employment type} + - {column: J, row: 5633, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5635 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5635, expected_value: E12000004, label: geography} + - {column: D, row: 5635, expected_value: All persons, label: sex} + - {column: E, row: 5635, expected_value: Self-employed, label: employment type} + - {column: J, row: 5635, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5637 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5637, expected_value: E12000004, label: geography} + - {column: D, row: 5637, expected_value: All persons, label: sex} + - {column: E, row: 5637, expected_value: Self-employed, label: employment type} + - {column: J, row: 5637, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5645 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5645, expected_value: E12000004, label: geography} + - {column: D, row: 5645, expected_value: All persons, label: sex} + - {column: E, row: 5645, expected_value: Self-employed, label: employment type} + - {column: J, row: 5645, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5647 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5647, expected_value: E12000004, label: geography} + - {column: D, row: 5647, expected_value: All persons, label: sex} + - {column: E, row: 5647, expected_value: Self-employed, label: employment type} + - {column: J, row: 5647, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5649 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5649, expected_value: E12000004, label: geography} + - {column: D, row: 5649, expected_value: All persons, label: sex} + - {column: E, row: 5649, expected_value: Self-employed, label: employment type} + - {column: J, row: 5649, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5651 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5651, expected_value: E12000004, label: geography} + - {column: D, row: 5651, expected_value: All persons, label: sex} + - {column: E, row: 5651, expected_value: Self-employed, label: employment type} + - {column: J, row: 5651, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5655 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5655, expected_value: E12000004, label: geography} + - {column: D, row: 5655, expected_value: All persons, label: sex} + - {column: E, row: 5655, expected_value: Self-employed, label: employment type} + - {column: J, row: 5655, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5657 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5657, expected_value: E12000004, label: geography} + - {column: D, row: 5657, expected_value: All persons, label: sex} + - {column: E, row: 5657, expected_value: Self-employed, label: employment type} + - {column: J, row: 5657, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5659 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5659, expected_value: E12000004, label: geography} + - {column: D, row: 5659, expected_value: All persons, label: sex} + - {column: E, row: 5659, expected_value: Self-employed, label: employment type} + - {column: J, row: 5659, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5661 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5661, expected_value: E12000004, label: geography} + - {column: D, row: 5661, expected_value: All persons, label: sex} + - {column: E, row: 5661, expected_value: Self-employed, label: employment type} + - {column: J, row: 5661, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5663 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5663, expected_value: E12000004, label: geography} + - {column: D, row: 5663, expected_value: All persons, label: sex} + - {column: E, row: 5663, expected_value: Self-employed, label: employment type} + - {column: J, row: 5663, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5665 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5665, expected_value: E12000004, label: geography} + - {column: D, row: 5665, expected_value: All persons, label: sex} + - {column: E, row: 5665, expected_value: Self-employed, label: employment type} + - {column: J, row: 5665, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5667 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5667, expected_value: E12000004, label: geography} + - {column: D, row: 5667, expected_value: All persons, label: sex} + - {column: E, row: 5667, expected_value: Self-employed, label: employment type} + - {column: J, row: 5667, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5669 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5669, expected_value: E12000004, label: geography} + - {column: D, row: 5669, expected_value: All persons, label: sex} + - {column: E, row: 5669, expected_value: Self-employed, label: employment type} + - {column: J, row: 5669, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5673 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5673, expected_value: E12000004, label: geography} + - {column: D, row: 5673, expected_value: All persons, label: sex} + - {column: E, row: 5673, expected_value: Self-employed, label: employment type} + - {column: J, row: 5673, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5675 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5675, expected_value: E12000004, label: geography} + - {column: D, row: 5675, expected_value: All persons, label: sex} + - {column: E, row: 5675, expected_value: Self-employed, label: employment type} + - {column: J, row: 5675, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5679 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5679, expected_value: E12000004, label: geography} + - {column: D, row: 5679, expected_value: All persons, label: sex} + - {column: E, row: 5679, expected_value: Self-employed, label: employment type} + - {column: J, row: 5679, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5681 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5681, expected_value: E12000004, label: geography} + - {column: D, row: 5681, expected_value: All persons, label: sex} + - {column: E, row: 5681, expected_value: Self-employed, label: employment type} + - {column: J, row: 5681, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5683 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5683, expected_value: E12000004, label: geography} + - {column: D, row: 5683, expected_value: All persons, label: sex} + - {column: E, row: 5683, expected_value: Self-employed, label: employment type} + - {column: J, row: 5683, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5685 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5685, expected_value: E12000004, label: geography} + - {column: D, row: 5685, expected_value: All persons, label: sex} + - {column: E, row: 5685, expected_value: Self-employed, label: employment type} + - {column: J, row: 5685, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5689 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5689, expected_value: E12000004, label: geography} + - {column: D, row: 5689, expected_value: All persons, label: sex} + - {column: E, row: 5689, expected_value: Self-employed, label: employment type} + - {column: J, row: 5689, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5258 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5258, expected_value: E12000004, label: geography} + - {column: D, row: 5258, expected_value: Males, label: sex} + - {column: E, row: 5258, expected_value: Total, label: employment type} + - {column: J, row: 5258, expected_value: Value, label: measure} + - {column: L, row: 5259, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5260 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5260, expected_value: E12000004, label: geography} + - {column: D, row: 5260, expected_value: Males, label: sex} + - {column: E, row: 5260, expected_value: Total, label: employment type} + - {column: J, row: 5260, expected_value: Value, label: measure} + - {column: L, row: 5261, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5262 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5262, expected_value: E12000004, label: geography} + - {column: D, row: 5262, expected_value: Males, label: sex} + - {column: E, row: 5262, expected_value: Total, label: employment type} + - {column: J, row: 5262, expected_value: Value, label: measure} + - {column: L, row: 5263, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5264 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5264, expected_value: E12000004, label: geography} + - {column: D, row: 5264, expected_value: Males, label: sex} + - {column: E, row: 5264, expected_value: Total, label: employment type} + - {column: J, row: 5264, expected_value: Value, label: measure} + - {column: L, row: 5265, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5266 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5266, expected_value: E12000004, label: geography} + - {column: D, row: 5266, expected_value: Males, label: sex} + - {column: E, row: 5266, expected_value: Total, label: employment type} + - {column: J, row: 5266, expected_value: Value, label: measure} + - {column: L, row: 5267, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5268 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5268, expected_value: E12000004, label: geography} + - {column: D, row: 5268, expected_value: Males, label: sex} + - {column: E, row: 5268, expected_value: Total, label: employment type} + - {column: J, row: 5268, expected_value: Value, label: measure} + - {column: L, row: 5269, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5270 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5270, expected_value: E12000004, label: geography} + - {column: D, row: 5270, expected_value: Males, label: sex} + - {column: E, row: 5270, expected_value: Total, label: employment type} + - {column: J, row: 5270, expected_value: Value, label: measure} + - {column: L, row: 5271, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5272 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5272, expected_value: E12000004, label: geography} + - {column: D, row: 5272, expected_value: Males, label: sex} + - {column: E, row: 5272, expected_value: Total, label: employment type} + - {column: J, row: 5272, expected_value: Value, label: measure} + - {column: L, row: 5273, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5274 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5274, expected_value: E12000004, label: geography} + - {column: D, row: 5274, expected_value: Males, label: sex} + - {column: E, row: 5274, expected_value: Total, label: employment type} + - {column: J, row: 5274, expected_value: Value, label: measure} + - {column: L, row: 5275, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5276 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5276, expected_value: E12000004, label: geography} + - {column: D, row: 5276, expected_value: Males, label: sex} + - {column: E, row: 5276, expected_value: Total, label: employment type} + - {column: J, row: 5276, expected_value: Value, label: measure} + - {column: L, row: 5277, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5278 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5278, expected_value: E12000004, label: geography} + - {column: D, row: 5278, expected_value: Males, label: sex} + - {column: E, row: 5278, expected_value: Total, label: employment type} + - {column: J, row: 5278, expected_value: Value, label: measure} + - {column: L, row: 5279, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5280 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5280, expected_value: E12000004, label: geography} + - {column: D, row: 5280, expected_value: Males, label: sex} + - {column: E, row: 5280, expected_value: Total, label: employment type} + - {column: J, row: 5280, expected_value: Value, label: measure} + - {column: L, row: 5281, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5282 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5282, expected_value: E12000004, label: geography} + - {column: D, row: 5282, expected_value: Males, label: sex} + - {column: E, row: 5282, expected_value: Total, label: employment type} + - {column: J, row: 5282, expected_value: Value, label: measure} + - {column: L, row: 5283, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5284 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5284, expected_value: E12000004, label: geography} + - {column: D, row: 5284, expected_value: Males, label: sex} + - {column: E, row: 5284, expected_value: Total, label: employment type} + - {column: J, row: 5284, expected_value: Value, label: measure} + - {column: L, row: 5285, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5286 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5286, expected_value: E12000004, label: geography} + - {column: D, row: 5286, expected_value: Males, label: sex} + - {column: E, row: 5286, expected_value: Total, label: employment type} + - {column: J, row: 5286, expected_value: Value, label: measure} + - {column: L, row: 5287, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5288 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5288, expected_value: E12000004, label: geography} + - {column: D, row: 5288, expected_value: Males, label: sex} + - {column: E, row: 5288, expected_value: Total, label: employment type} + - {column: J, row: 5288, expected_value: Value, label: measure} + - {column: L, row: 5289, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5290 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5290, expected_value: E12000004, label: geography} + - {column: D, row: 5290, expected_value: Males, label: sex} + - {column: E, row: 5290, expected_value: Total, label: employment type} + - {column: J, row: 5290, expected_value: Value, label: measure} + - {column: L, row: 5291, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5292 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5292, expected_value: E12000004, label: geography} + - {column: D, row: 5292, expected_value: Males, label: sex} + - {column: E, row: 5292, expected_value: Total, label: employment type} + - {column: J, row: 5292, expected_value: Value, label: measure} + - {column: L, row: 5293, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5294 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5294, expected_value: E12000004, label: geography} + - {column: D, row: 5294, expected_value: Males, label: sex} + - {column: E, row: 5294, expected_value: Total, label: employment type} + - {column: J, row: 5294, expected_value: Value, label: measure} + - {column: L, row: 5295, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5296 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5296, expected_value: E12000004, label: geography} + - {column: D, row: 5296, expected_value: Males, label: sex} + - {column: E, row: 5296, expected_value: Total, label: employment type} + - {column: J, row: 5296, expected_value: Value, label: measure} + - {column: L, row: 5297, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5298 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5298, expected_value: E12000004, label: geography} + - {column: D, row: 5298, expected_value: Males, label: sex} + - {column: E, row: 5298, expected_value: Total, label: employment type} + - {column: J, row: 5298, expected_value: Value, label: measure} + - {column: L, row: 5299, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5300 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5300, expected_value: E12000004, label: geography} + - {column: D, row: 5300, expected_value: Males, label: sex} + - {column: E, row: 5300, expected_value: Total, label: employment type} + - {column: J, row: 5300, expected_value: Value, label: measure} + - {column: L, row: 5301, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5302 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5302, expected_value: E12000004, label: geography} + - {column: D, row: 5302, expected_value: Males, label: sex} + - {column: E, row: 5302, expected_value: Total, label: employment type} + - {column: J, row: 5302, expected_value: Value, label: measure} + - {column: L, row: 5303, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5304 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5304, expected_value: E12000004, label: geography} + - {column: D, row: 5304, expected_value: Males, label: sex} + - {column: E, row: 5304, expected_value: Total, label: employment type} + - {column: J, row: 5304, expected_value: Value, label: measure} + - {column: L, row: 5305, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5306 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5306, expected_value: E12000004, label: geography} + - {column: D, row: 5306, expected_value: Males, label: sex} + - {column: E, row: 5306, expected_value: Total, label: employment type} + - {column: J, row: 5306, expected_value: Value, label: measure} + - {column: L, row: 5307, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5308 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5308, expected_value: E12000004, label: geography} + - {column: D, row: 5308, expected_value: Males, label: sex} + - {column: E, row: 5308, expected_value: Total, label: employment type} + - {column: J, row: 5308, expected_value: Value, label: measure} + - {column: L, row: 5309, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5312 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5312, expected_value: E12000004, label: geography} + - {column: D, row: 5312, expected_value: Males, label: sex} + - {column: E, row: 5312, expected_value: Total, label: employment type} + - {column: J, row: 5312, expected_value: Value, label: measure} + - {column: L, row: 5313, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5314 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5314, expected_value: E12000004, label: geography} + - {column: D, row: 5314, expected_value: Males, label: sex} + - {column: E, row: 5314, expected_value: Total, label: employment type} + - {column: J, row: 5314, expected_value: Value, label: measure} + - {column: L, row: 5315, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5316 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5316, expected_value: E12000004, label: geography} + - {column: D, row: 5316, expected_value: Males, label: sex} + - {column: E, row: 5316, expected_value: Total, label: employment type} + - {column: J, row: 5316, expected_value: Value, label: measure} + - {column: L, row: 5317, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5318 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5318, expected_value: E12000004, label: geography} + - {column: D, row: 5318, expected_value: Males, label: sex} + - {column: E, row: 5318, expected_value: Total, label: employment type} + - {column: J, row: 5318, expected_value: Value, label: measure} + - {column: L, row: 5319, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5320 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5320, expected_value: E12000004, label: geography} + - {column: D, row: 5320, expected_value: Males, label: sex} + - {column: E, row: 5320, expected_value: Total, label: employment type} + - {column: J, row: 5320, expected_value: Value, label: measure} + - {column: L, row: 5321, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5322 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5322, expected_value: E12000004, label: geography} + - {column: D, row: 5322, expected_value: Males, label: sex} + - {column: E, row: 5322, expected_value: Total, label: employment type} + - {column: J, row: 5322, expected_value: Value, label: measure} + - {column: L, row: 5323, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5324 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5324, expected_value: E12000004, label: geography} + - {column: D, row: 5324, expected_value: Males, label: sex} + - {column: E, row: 5324, expected_value: Total, label: employment type} + - {column: J, row: 5324, expected_value: Value, label: measure} + - {column: L, row: 5325, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5326 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5326, expected_value: E12000004, label: geography} + - {column: D, row: 5326, expected_value: Males, label: sex} + - {column: E, row: 5326, expected_value: Total, label: employment type} + - {column: J, row: 5326, expected_value: Value, label: measure} + - {column: L, row: 5327, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5328 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5328, expected_value: E12000004, label: geography} + - {column: D, row: 5328, expected_value: Males, label: sex} + - {column: E, row: 5328, expected_value: Total, label: employment type} + - {column: J, row: 5328, expected_value: Value, label: measure} + - {column: L, row: 5329, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5259 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5259, expected_value: E12000004, label: geography} + - {column: D, row: 5259, expected_value: Males, label: sex} + - {column: E, row: 5259, expected_value: Total, label: employment type} + - {column: J, row: 5259, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5261 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5261, expected_value: E12000004, label: geography} + - {column: D, row: 5261, expected_value: Males, label: sex} + - {column: E, row: 5261, expected_value: Total, label: employment type} + - {column: J, row: 5261, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5263 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5263, expected_value: E12000004, label: geography} + - {column: D, row: 5263, expected_value: Males, label: sex} + - {column: E, row: 5263, expected_value: Total, label: employment type} + - {column: J, row: 5263, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5265 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5265, expected_value: E12000004, label: geography} + - {column: D, row: 5265, expected_value: Males, label: sex} + - {column: E, row: 5265, expected_value: Total, label: employment type} + - {column: J, row: 5265, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5267 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5267, expected_value: E12000004, label: geography} + - {column: D, row: 5267, expected_value: Males, label: sex} + - {column: E, row: 5267, expected_value: Total, label: employment type} + - {column: J, row: 5267, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5269 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5269, expected_value: E12000004, label: geography} + - {column: D, row: 5269, expected_value: Males, label: sex} + - {column: E, row: 5269, expected_value: Total, label: employment type} + - {column: J, row: 5269, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5271 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5271, expected_value: E12000004, label: geography} + - {column: D, row: 5271, expected_value: Males, label: sex} + - {column: E, row: 5271, expected_value: Total, label: employment type} + - {column: J, row: 5271, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5273 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5273, expected_value: E12000004, label: geography} + - {column: D, row: 5273, expected_value: Males, label: sex} + - {column: E, row: 5273, expected_value: Total, label: employment type} + - {column: J, row: 5273, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5275 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5275, expected_value: E12000004, label: geography} + - {column: D, row: 5275, expected_value: Males, label: sex} + - {column: E, row: 5275, expected_value: Total, label: employment type} + - {column: J, row: 5275, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5277 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5277, expected_value: E12000004, label: geography} + - {column: D, row: 5277, expected_value: Males, label: sex} + - {column: E, row: 5277, expected_value: Total, label: employment type} + - {column: J, row: 5277, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5279 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5279, expected_value: E12000004, label: geography} + - {column: D, row: 5279, expected_value: Males, label: sex} + - {column: E, row: 5279, expected_value: Total, label: employment type} + - {column: J, row: 5279, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5281 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5281, expected_value: E12000004, label: geography} + - {column: D, row: 5281, expected_value: Males, label: sex} + - {column: E, row: 5281, expected_value: Total, label: employment type} + - {column: J, row: 5281, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5283 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5283, expected_value: E12000004, label: geography} + - {column: D, row: 5283, expected_value: Males, label: sex} + - {column: E, row: 5283, expected_value: Total, label: employment type} + - {column: J, row: 5283, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5285 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5285, expected_value: E12000004, label: geography} + - {column: D, row: 5285, expected_value: Males, label: sex} + - {column: E, row: 5285, expected_value: Total, label: employment type} + - {column: J, row: 5285, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5287 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5287, expected_value: E12000004, label: geography} + - {column: D, row: 5287, expected_value: Males, label: sex} + - {column: E, row: 5287, expected_value: Total, label: employment type} + - {column: J, row: 5287, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5289 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5289, expected_value: E12000004, label: geography} + - {column: D, row: 5289, expected_value: Males, label: sex} + - {column: E, row: 5289, expected_value: Total, label: employment type} + - {column: J, row: 5289, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5291 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5291, expected_value: E12000004, label: geography} + - {column: D, row: 5291, expected_value: Males, label: sex} + - {column: E, row: 5291, expected_value: Total, label: employment type} + - {column: J, row: 5291, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5295 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5295, expected_value: E12000004, label: geography} + - {column: D, row: 5295, expected_value: Males, label: sex} + - {column: E, row: 5295, expected_value: Total, label: employment type} + - {column: J, row: 5295, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5297 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5297, expected_value: E12000004, label: geography} + - {column: D, row: 5297, expected_value: Males, label: sex} + - {column: E, row: 5297, expected_value: Total, label: employment type} + - {column: J, row: 5297, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5299 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5299, expected_value: E12000004, label: geography} + - {column: D, row: 5299, expected_value: Males, label: sex} + - {column: E, row: 5299, expected_value: Total, label: employment type} + - {column: J, row: 5299, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5301 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5301, expected_value: E12000004, label: geography} + - {column: D, row: 5301, expected_value: Males, label: sex} + - {column: E, row: 5301, expected_value: Total, label: employment type} + - {column: J, row: 5301, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5303 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5303, expected_value: E12000004, label: geography} + - {column: D, row: 5303, expected_value: Males, label: sex} + - {column: E, row: 5303, expected_value: Total, label: employment type} + - {column: J, row: 5303, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5305 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5305, expected_value: E12000004, label: geography} + - {column: D, row: 5305, expected_value: Males, label: sex} + - {column: E, row: 5305, expected_value: Total, label: employment type} + - {column: J, row: 5305, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5307 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5307, expected_value: E12000004, label: geography} + - {column: D, row: 5307, expected_value: Males, label: sex} + - {column: E, row: 5307, expected_value: Total, label: employment type} + - {column: J, row: 5307, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5309 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5309, expected_value: E12000004, label: geography} + - {column: D, row: 5309, expected_value: Males, label: sex} + - {column: E, row: 5309, expected_value: Total, label: employment type} + - {column: J, row: 5309, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5313 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5313, expected_value: E12000004, label: geography} + - {column: D, row: 5313, expected_value: Males, label: sex} + - {column: E, row: 5313, expected_value: Total, label: employment type} + - {column: J, row: 5313, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5315 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5315, expected_value: E12000004, label: geography} + - {column: D, row: 5315, expected_value: Males, label: sex} + - {column: E, row: 5315, expected_value: Total, label: employment type} + - {column: J, row: 5315, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5317 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5317, expected_value: E12000004, label: geography} + - {column: D, row: 5317, expected_value: Males, label: sex} + - {column: E, row: 5317, expected_value: Total, label: employment type} + - {column: J, row: 5317, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5319 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5319, expected_value: E12000004, label: geography} + - {column: D, row: 5319, expected_value: Males, label: sex} + - {column: E, row: 5319, expected_value: Total, label: employment type} + - {column: J, row: 5319, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5321 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5321, expected_value: E12000004, label: geography} + - {column: D, row: 5321, expected_value: Males, label: sex} + - {column: E, row: 5321, expected_value: Total, label: employment type} + - {column: J, row: 5321, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5323 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5323, expected_value: E12000004, label: geography} + - {column: D, row: 5323, expected_value: Males, label: sex} + - {column: E, row: 5323, expected_value: Total, label: employment type} + - {column: J, row: 5323, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5325 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5325, expected_value: E12000004, label: geography} + - {column: D, row: 5325, expected_value: Males, label: sex} + - {column: E, row: 5325, expected_value: Total, label: employment type} + - {column: J, row: 5325, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5327 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5327, expected_value: E12000004, label: geography} + - {column: D, row: 5327, expected_value: Males, label: sex} + - {column: E, row: 5327, expected_value: Total, label: employment type} + - {column: J, row: 5327, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5329 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5329, expected_value: E12000004, label: geography} + - {column: D, row: 5329, expected_value: Males, label: sex} + - {column: E, row: 5329, expected_value: Total, label: employment type} + - {column: J, row: 5329, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5474 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5474, expected_value: E12000004, label: geography} + - {column: D, row: 5474, expected_value: Males, label: sex} + - {column: E, row: 5474, expected_value: Employee, label: employment type} + - {column: J, row: 5474, expected_value: Value, label: measure} + - {column: L, row: 5475, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5476 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5476, expected_value: E12000004, label: geography} + - {column: D, row: 5476, expected_value: Males, label: sex} + - {column: E, row: 5476, expected_value: Employee, label: employment type} + - {column: J, row: 5476, expected_value: Value, label: measure} + - {column: L, row: 5477, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5478 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5478, expected_value: E12000004, label: geography} + - {column: D, row: 5478, expected_value: Males, label: sex} + - {column: E, row: 5478, expected_value: Employee, label: employment type} + - {column: J, row: 5478, expected_value: Value, label: measure} + - {column: L, row: 5479, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5480 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5480, expected_value: E12000004, label: geography} + - {column: D, row: 5480, expected_value: Males, label: sex} + - {column: E, row: 5480, expected_value: Employee, label: employment type} + - {column: J, row: 5480, expected_value: Value, label: measure} + - {column: L, row: 5481, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5482 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5482, expected_value: E12000004, label: geography} + - {column: D, row: 5482, expected_value: Males, label: sex} + - {column: E, row: 5482, expected_value: Employee, label: employment type} + - {column: J, row: 5482, expected_value: Value, label: measure} + - {column: L, row: 5483, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5484 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5484, expected_value: E12000004, label: geography} + - {column: D, row: 5484, expected_value: Males, label: sex} + - {column: E, row: 5484, expected_value: Employee, label: employment type} + - {column: J, row: 5484, expected_value: Value, label: measure} + - {column: L, row: 5485, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5486 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5486, expected_value: E12000004, label: geography} + - {column: D, row: 5486, expected_value: Males, label: sex} + - {column: E, row: 5486, expected_value: Employee, label: employment type} + - {column: J, row: 5486, expected_value: Value, label: measure} + - {column: L, row: 5487, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5488 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5488, expected_value: E12000004, label: geography} + - {column: D, row: 5488, expected_value: Males, label: sex} + - {column: E, row: 5488, expected_value: Employee, label: employment type} + - {column: J, row: 5488, expected_value: Value, label: measure} + - {column: L, row: 5489, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5490 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5490, expected_value: E12000004, label: geography} + - {column: D, row: 5490, expected_value: Males, label: sex} + - {column: E, row: 5490, expected_value: Employee, label: employment type} + - {column: J, row: 5490, expected_value: Value, label: measure} + - {column: L, row: 5491, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5492 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5492, expected_value: E12000004, label: geography} + - {column: D, row: 5492, expected_value: Males, label: sex} + - {column: E, row: 5492, expected_value: Employee, label: employment type} + - {column: J, row: 5492, expected_value: Value, label: measure} + - {column: L, row: 5493, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5494 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5494, expected_value: E12000004, label: geography} + - {column: D, row: 5494, expected_value: Males, label: sex} + - {column: E, row: 5494, expected_value: Employee, label: employment type} + - {column: J, row: 5494, expected_value: Value, label: measure} + - {column: L, row: 5495, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5496 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5496, expected_value: E12000004, label: geography} + - {column: D, row: 5496, expected_value: Males, label: sex} + - {column: E, row: 5496, expected_value: Employee, label: employment type} + - {column: J, row: 5496, expected_value: Value, label: measure} + - {column: L, row: 5497, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5498 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5498, expected_value: E12000004, label: geography} + - {column: D, row: 5498, expected_value: Males, label: sex} + - {column: E, row: 5498, expected_value: Employee, label: employment type} + - {column: J, row: 5498, expected_value: Value, label: measure} + - {column: L, row: 5499, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5500 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5500, expected_value: E12000004, label: geography} + - {column: D, row: 5500, expected_value: Males, label: sex} + - {column: E, row: 5500, expected_value: Employee, label: employment type} + - {column: J, row: 5500, expected_value: Value, label: measure} + - {column: L, row: 5501, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5502 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5502, expected_value: E12000004, label: geography} + - {column: D, row: 5502, expected_value: Males, label: sex} + - {column: E, row: 5502, expected_value: Employee, label: employment type} + - {column: J, row: 5502, expected_value: Value, label: measure} + - {column: L, row: 5503, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5504 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5504, expected_value: E12000004, label: geography} + - {column: D, row: 5504, expected_value: Males, label: sex} + - {column: E, row: 5504, expected_value: Employee, label: employment type} + - {column: J, row: 5504, expected_value: Value, label: measure} + - {column: L, row: 5505, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5506 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5506, expected_value: E12000004, label: geography} + - {column: D, row: 5506, expected_value: Males, label: sex} + - {column: E, row: 5506, expected_value: Employee, label: employment type} + - {column: J, row: 5506, expected_value: Value, label: measure} + - {column: L, row: 5507, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5508 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5508, expected_value: E12000004, label: geography} + - {column: D, row: 5508, expected_value: Males, label: sex} + - {column: E, row: 5508, expected_value: Employee, label: employment type} + - {column: J, row: 5508, expected_value: Value, label: measure} + - {column: L, row: 5509, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5510 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5510, expected_value: E12000004, label: geography} + - {column: D, row: 5510, expected_value: Males, label: sex} + - {column: E, row: 5510, expected_value: Employee, label: employment type} + - {column: J, row: 5510, expected_value: Value, label: measure} + - {column: L, row: 5511, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5512 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5512, expected_value: E12000004, label: geography} + - {column: D, row: 5512, expected_value: Males, label: sex} + - {column: E, row: 5512, expected_value: Employee, label: employment type} + - {column: J, row: 5512, expected_value: Value, label: measure} + - {column: L, row: 5513, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5514 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5514, expected_value: E12000004, label: geography} + - {column: D, row: 5514, expected_value: Males, label: sex} + - {column: E, row: 5514, expected_value: Employee, label: employment type} + - {column: J, row: 5514, expected_value: Value, label: measure} + - {column: L, row: 5515, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5516 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5516, expected_value: E12000004, label: geography} + - {column: D, row: 5516, expected_value: Males, label: sex} + - {column: E, row: 5516, expected_value: Employee, label: employment type} + - {column: J, row: 5516, expected_value: Value, label: measure} + - {column: L, row: 5517, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5518 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5518, expected_value: E12000004, label: geography} + - {column: D, row: 5518, expected_value: Males, label: sex} + - {column: E, row: 5518, expected_value: Employee, label: employment type} + - {column: J, row: 5518, expected_value: Value, label: measure} + - {column: L, row: 5519, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5520 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5520, expected_value: E12000004, label: geography} + - {column: D, row: 5520, expected_value: Males, label: sex} + - {column: E, row: 5520, expected_value: Employee, label: employment type} + - {column: J, row: 5520, expected_value: Value, label: measure} + - {column: L, row: 5521, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5522 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5522, expected_value: E12000004, label: geography} + - {column: D, row: 5522, expected_value: Males, label: sex} + - {column: E, row: 5522, expected_value: Employee, label: employment type} + - {column: J, row: 5522, expected_value: Value, label: measure} + - {column: L, row: 5523, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5524 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5524, expected_value: E12000004, label: geography} + - {column: D, row: 5524, expected_value: Males, label: sex} + - {column: E, row: 5524, expected_value: Employee, label: employment type} + - {column: J, row: 5524, expected_value: Value, label: measure} + - {column: L, row: 5525, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5528 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5528, expected_value: E12000004, label: geography} + - {column: D, row: 5528, expected_value: Males, label: sex} + - {column: E, row: 5528, expected_value: Employee, label: employment type} + - {column: J, row: 5528, expected_value: Value, label: measure} + - {column: L, row: 5529, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5530 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5530, expected_value: E12000004, label: geography} + - {column: D, row: 5530, expected_value: Males, label: sex} + - {column: E, row: 5530, expected_value: Employee, label: employment type} + - {column: J, row: 5530, expected_value: Value, label: measure} + - {column: L, row: 5531, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5532 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5532, expected_value: E12000004, label: geography} + - {column: D, row: 5532, expected_value: Males, label: sex} + - {column: E, row: 5532, expected_value: Employee, label: employment type} + - {column: J, row: 5532, expected_value: Value, label: measure} + - {column: L, row: 5533, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5534 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5534, expected_value: E12000004, label: geography} + - {column: D, row: 5534, expected_value: Males, label: sex} + - {column: E, row: 5534, expected_value: Employee, label: employment type} + - {column: J, row: 5534, expected_value: Value, label: measure} + - {column: L, row: 5535, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5536 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5536, expected_value: E12000004, label: geography} + - {column: D, row: 5536, expected_value: Males, label: sex} + - {column: E, row: 5536, expected_value: Employee, label: employment type} + - {column: J, row: 5536, expected_value: Value, label: measure} + - {column: L, row: 5537, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5538 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5538, expected_value: E12000004, label: geography} + - {column: D, row: 5538, expected_value: Males, label: sex} + - {column: E, row: 5538, expected_value: Employee, label: employment type} + - {column: J, row: 5538, expected_value: Value, label: measure} + - {column: L, row: 5539, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5540 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5540, expected_value: E12000004, label: geography} + - {column: D, row: 5540, expected_value: Males, label: sex} + - {column: E, row: 5540, expected_value: Employee, label: employment type} + - {column: J, row: 5540, expected_value: Value, label: measure} + - {column: L, row: 5541, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5542 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5542, expected_value: E12000004, label: geography} + - {column: D, row: 5542, expected_value: Males, label: sex} + - {column: E, row: 5542, expected_value: Employee, label: employment type} + - {column: J, row: 5542, expected_value: Value, label: measure} + - {column: L, row: 5543, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5544 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5544, expected_value: E12000004, label: geography} + - {column: D, row: 5544, expected_value: Males, label: sex} + - {column: E, row: 5544, expected_value: Employee, label: employment type} + - {column: J, row: 5544, expected_value: Value, label: measure} + - {column: L, row: 5545, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5475 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5475, expected_value: E12000004, label: geography} + - {column: D, row: 5475, expected_value: Males, label: sex} + - {column: E, row: 5475, expected_value: Employee, label: employment type} + - {column: J, row: 5475, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5477 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5477, expected_value: E12000004, label: geography} + - {column: D, row: 5477, expected_value: Males, label: sex} + - {column: E, row: 5477, expected_value: Employee, label: employment type} + - {column: J, row: 5477, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5479 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5479, expected_value: E12000004, label: geography} + - {column: D, row: 5479, expected_value: Males, label: sex} + - {column: E, row: 5479, expected_value: Employee, label: employment type} + - {column: J, row: 5479, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5481 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5481, expected_value: E12000004, label: geography} + - {column: D, row: 5481, expected_value: Males, label: sex} + - {column: E, row: 5481, expected_value: Employee, label: employment type} + - {column: J, row: 5481, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5483 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5483, expected_value: E12000004, label: geography} + - {column: D, row: 5483, expected_value: Males, label: sex} + - {column: E, row: 5483, expected_value: Employee, label: employment type} + - {column: J, row: 5483, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5485 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5485, expected_value: E12000004, label: geography} + - {column: D, row: 5485, expected_value: Males, label: sex} + - {column: E, row: 5485, expected_value: Employee, label: employment type} + - {column: J, row: 5485, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5487 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5487, expected_value: E12000004, label: geography} + - {column: D, row: 5487, expected_value: Males, label: sex} + - {column: E, row: 5487, expected_value: Employee, label: employment type} + - {column: J, row: 5487, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5489 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5489, expected_value: E12000004, label: geography} + - {column: D, row: 5489, expected_value: Males, label: sex} + - {column: E, row: 5489, expected_value: Employee, label: employment type} + - {column: J, row: 5489, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5491 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5491, expected_value: E12000004, label: geography} + - {column: D, row: 5491, expected_value: Males, label: sex} + - {column: E, row: 5491, expected_value: Employee, label: employment type} + - {column: J, row: 5491, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5493 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5493, expected_value: E12000004, label: geography} + - {column: D, row: 5493, expected_value: Males, label: sex} + - {column: E, row: 5493, expected_value: Employee, label: employment type} + - {column: J, row: 5493, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5495 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5495, expected_value: E12000004, label: geography} + - {column: D, row: 5495, expected_value: Males, label: sex} + - {column: E, row: 5495, expected_value: Employee, label: employment type} + - {column: J, row: 5495, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5497 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5497, expected_value: E12000004, label: geography} + - {column: D, row: 5497, expected_value: Males, label: sex} + - {column: E, row: 5497, expected_value: Employee, label: employment type} + - {column: J, row: 5497, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5499 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5499, expected_value: E12000004, label: geography} + - {column: D, row: 5499, expected_value: Males, label: sex} + - {column: E, row: 5499, expected_value: Employee, label: employment type} + - {column: J, row: 5499, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5501 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5501, expected_value: E12000004, label: geography} + - {column: D, row: 5501, expected_value: Males, label: sex} + - {column: E, row: 5501, expected_value: Employee, label: employment type} + - {column: J, row: 5501, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5503 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5503, expected_value: E12000004, label: geography} + - {column: D, row: 5503, expected_value: Males, label: sex} + - {column: E, row: 5503, expected_value: Employee, label: employment type} + - {column: J, row: 5503, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5505 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5505, expected_value: E12000004, label: geography} + - {column: D, row: 5505, expected_value: Males, label: sex} + - {column: E, row: 5505, expected_value: Employee, label: employment type} + - {column: J, row: 5505, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5507 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5507, expected_value: E12000004, label: geography} + - {column: D, row: 5507, expected_value: Males, label: sex} + - {column: E, row: 5507, expected_value: Employee, label: employment type} + - {column: J, row: 5507, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5511 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5511, expected_value: E12000004, label: geography} + - {column: D, row: 5511, expected_value: Males, label: sex} + - {column: E, row: 5511, expected_value: Employee, label: employment type} + - {column: J, row: 5511, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5513 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5513, expected_value: E12000004, label: geography} + - {column: D, row: 5513, expected_value: Males, label: sex} + - {column: E, row: 5513, expected_value: Employee, label: employment type} + - {column: J, row: 5513, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5515 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5515, expected_value: E12000004, label: geography} + - {column: D, row: 5515, expected_value: Males, label: sex} + - {column: E, row: 5515, expected_value: Employee, label: employment type} + - {column: J, row: 5515, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5517 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5517, expected_value: E12000004, label: geography} + - {column: D, row: 5517, expected_value: Males, label: sex} + - {column: E, row: 5517, expected_value: Employee, label: employment type} + - {column: J, row: 5517, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5519 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5519, expected_value: E12000004, label: geography} + - {column: D, row: 5519, expected_value: Males, label: sex} + - {column: E, row: 5519, expected_value: Employee, label: employment type} + - {column: J, row: 5519, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5521 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5521, expected_value: E12000004, label: geography} + - {column: D, row: 5521, expected_value: Males, label: sex} + - {column: E, row: 5521, expected_value: Employee, label: employment type} + - {column: J, row: 5521, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5523 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5523, expected_value: E12000004, label: geography} + - {column: D, row: 5523, expected_value: Males, label: sex} + - {column: E, row: 5523, expected_value: Employee, label: employment type} + - {column: J, row: 5523, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5525 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5525, expected_value: E12000004, label: geography} + - {column: D, row: 5525, expected_value: Males, label: sex} + - {column: E, row: 5525, expected_value: Employee, label: employment type} + - {column: J, row: 5525, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5529 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5529, expected_value: E12000004, label: geography} + - {column: D, row: 5529, expected_value: Males, label: sex} + - {column: E, row: 5529, expected_value: Employee, label: employment type} + - {column: J, row: 5529, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5531 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5531, expected_value: E12000004, label: geography} + - {column: D, row: 5531, expected_value: Males, label: sex} + - {column: E, row: 5531, expected_value: Employee, label: employment type} + - {column: J, row: 5531, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5533 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5533, expected_value: E12000004, label: geography} + - {column: D, row: 5533, expected_value: Males, label: sex} + - {column: E, row: 5533, expected_value: Employee, label: employment type} + - {column: J, row: 5533, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5535 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5535, expected_value: E12000004, label: geography} + - {column: D, row: 5535, expected_value: Males, label: sex} + - {column: E, row: 5535, expected_value: Employee, label: employment type} + - {column: J, row: 5535, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5537 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5537, expected_value: E12000004, label: geography} + - {column: D, row: 5537, expected_value: Males, label: sex} + - {column: E, row: 5537, expected_value: Employee, label: employment type} + - {column: J, row: 5537, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5539 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5539, expected_value: E12000004, label: geography} + - {column: D, row: 5539, expected_value: Males, label: sex} + - {column: E, row: 5539, expected_value: Employee, label: employment type} + - {column: J, row: 5539, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5541 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5541, expected_value: E12000004, label: geography} + - {column: D, row: 5541, expected_value: Males, label: sex} + - {column: E, row: 5541, expected_value: Employee, label: employment type} + - {column: J, row: 5541, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5543 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5543, expected_value: E12000004, label: geography} + - {column: D, row: 5543, expected_value: Males, label: sex} + - {column: E, row: 5543, expected_value: Employee, label: employment type} + - {column: J, row: 5543, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5545 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5545, expected_value: E12000004, label: geography} + - {column: D, row: 5545, expected_value: Males, label: sex} + - {column: E, row: 5545, expected_value: Employee, label: employment type} + - {column: J, row: 5545, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5690 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5690, expected_value: E12000004, label: geography} + - {column: D, row: 5690, expected_value: Males, label: sex} + - {column: E, row: 5690, expected_value: Self-employed, label: employment type} + - {column: J, row: 5690, expected_value: Value, label: measure} + - {column: L, row: 5691, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5692 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5692, expected_value: E12000004, label: geography} + - {column: D, row: 5692, expected_value: Males, label: sex} + - {column: E, row: 5692, expected_value: Self-employed, label: employment type} + - {column: J, row: 5692, expected_value: Value, label: measure} + - {column: L, row: 5693, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5694 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5694, expected_value: E12000004, label: geography} + - {column: D, row: 5694, expected_value: Males, label: sex} + - {column: E, row: 5694, expected_value: Self-employed, label: employment type} + - {column: J, row: 5694, expected_value: Value, label: measure} + - {column: L, row: 5695, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5696 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5696, expected_value: E12000004, label: geography} + - {column: D, row: 5696, expected_value: Males, label: sex} + - {column: E, row: 5696, expected_value: Self-employed, label: employment type} + - {column: J, row: 5696, expected_value: Value, label: measure} + - {column: L, row: 5697, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5698 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5698, expected_value: E12000004, label: geography} + - {column: D, row: 5698, expected_value: Males, label: sex} + - {column: E, row: 5698, expected_value: Self-employed, label: employment type} + - {column: J, row: 5698, expected_value: Value, label: measure} + - {column: L, row: 5699, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5700 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5700, expected_value: E12000004, label: geography} + - {column: D, row: 5700, expected_value: Males, label: sex} + - {column: E, row: 5700, expected_value: Self-employed, label: employment type} + - {column: J, row: 5700, expected_value: Value, label: measure} + - {column: L, row: 5701, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5702 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5702, expected_value: E12000004, label: geography} + - {column: D, row: 5702, expected_value: Males, label: sex} + - {column: E, row: 5702, expected_value: Self-employed, label: employment type} + - {column: J, row: 5702, expected_value: Value, label: measure} + - {column: L, row: 5703, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5704 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5704, expected_value: E12000004, label: geography} + - {column: D, row: 5704, expected_value: Males, label: sex} + - {column: E, row: 5704, expected_value: Self-employed, label: employment type} + - {column: J, row: 5704, expected_value: Value, label: measure} + - {column: L, row: 5705, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5706 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5706, expected_value: E12000004, label: geography} + - {column: D, row: 5706, expected_value: Males, label: sex} + - {column: E, row: 5706, expected_value: Self-employed, label: employment type} + - {column: J, row: 5706, expected_value: Value, label: measure} + - {column: L, row: 5707, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5708 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5708, expected_value: E12000004, label: geography} + - {column: D, row: 5708, expected_value: Males, label: sex} + - {column: E, row: 5708, expected_value: Self-employed, label: employment type} + - {column: J, row: 5708, expected_value: Value, label: measure} + - {column: L, row: 5709, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5710 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5710, expected_value: E12000004, label: geography} + - {column: D, row: 5710, expected_value: Males, label: sex} + - {column: E, row: 5710, expected_value: Self-employed, label: employment type} + - {column: J, row: 5710, expected_value: Value, label: measure} + - {column: L, row: 5711, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5712 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5712, expected_value: E12000004, label: geography} + - {column: D, row: 5712, expected_value: Males, label: sex} + - {column: E, row: 5712, expected_value: Self-employed, label: employment type} + - {column: J, row: 5712, expected_value: Value, label: measure} + - {column: L, row: 5713, expected_value: F, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5714 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5714, expected_value: E12000004, label: geography} + - {column: D, row: 5714, expected_value: Males, label: sex} + - {column: E, row: 5714, expected_value: Self-employed, label: employment type} + - {column: J, row: 5714, expected_value: Value, label: measure} + - {column: L, row: 5715, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5716 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5716, expected_value: E12000004, label: geography} + - {column: D, row: 5716, expected_value: Males, label: sex} + - {column: E, row: 5716, expected_value: Self-employed, label: employment type} + - {column: J, row: 5716, expected_value: Value, label: measure} + - {column: L, row: 5717, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5718 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5718, expected_value: E12000004, label: geography} + - {column: D, row: 5718, expected_value: Males, label: sex} + - {column: E, row: 5718, expected_value: Self-employed, label: employment type} + - {column: J, row: 5718, expected_value: Value, label: measure} + - {column: L, row: 5719, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5720 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5720, expected_value: E12000004, label: geography} + - {column: D, row: 5720, expected_value: Males, label: sex} + - {column: E, row: 5720, expected_value: Self-employed, label: employment type} + - {column: J, row: 5720, expected_value: Value, label: measure} + - {column: L, row: 5721, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5722 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5722, expected_value: E12000004, label: geography} + - {column: D, row: 5722, expected_value: Males, label: sex} + - {column: E, row: 5722, expected_value: Self-employed, label: employment type} + - {column: J, row: 5722, expected_value: Value, label: measure} + - {column: L, row: 5723, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5726 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5726, expected_value: E12000004, label: geography} + - {column: D, row: 5726, expected_value: Males, label: sex} + - {column: E, row: 5726, expected_value: Self-employed, label: employment type} + - {column: J, row: 5726, expected_value: Value, label: measure} + - {column: L, row: 5727, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5728 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5728, expected_value: E12000004, label: geography} + - {column: D, row: 5728, expected_value: Males, label: sex} + - {column: E, row: 5728, expected_value: Self-employed, label: employment type} + - {column: J, row: 5728, expected_value: Value, label: measure} + - {column: L, row: 5729, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5730 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5730, expected_value: E12000004, label: geography} + - {column: D, row: 5730, expected_value: Males, label: sex} + - {column: E, row: 5730, expected_value: Self-employed, label: employment type} + - {column: J, row: 5730, expected_value: Value, label: measure} + - {column: L, row: 5731, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5732 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5732, expected_value: E12000004, label: geography} + - {column: D, row: 5732, expected_value: Males, label: sex} + - {column: E, row: 5732, expected_value: Self-employed, label: employment type} + - {column: J, row: 5732, expected_value: Value, label: measure} + - {column: L, row: 5733, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5734 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5734, expected_value: E12000004, label: geography} + - {column: D, row: 5734, expected_value: Males, label: sex} + - {column: E, row: 5734, expected_value: Self-employed, label: employment type} + - {column: J, row: 5734, expected_value: Value, label: measure} + - {column: L, row: 5735, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5736 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5736, expected_value: E12000004, label: geography} + - {column: D, row: 5736, expected_value: Males, label: sex} + - {column: E, row: 5736, expected_value: Self-employed, label: employment type} + - {column: J, row: 5736, expected_value: Value, label: measure} + - {column: L, row: 5737, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5738 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5738, expected_value: E12000004, label: geography} + - {column: D, row: 5738, expected_value: Males, label: sex} + - {column: E, row: 5738, expected_value: Self-employed, label: employment type} + - {column: J, row: 5738, expected_value: Value, label: measure} + - {column: L, row: 5739, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5740 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5740, expected_value: E12000004, label: geography} + - {column: D, row: 5740, expected_value: Males, label: sex} + - {column: E, row: 5740, expected_value: Self-employed, label: employment type} + - {column: J, row: 5740, expected_value: Value, label: measure} + - {column: L, row: 5741, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5744 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5744, expected_value: E12000004, label: geography} + - {column: D, row: 5744, expected_value: Males, label: sex} + - {column: E, row: 5744, expected_value: Self-employed, label: employment type} + - {column: J, row: 5744, expected_value: Value, label: measure} + - {column: L, row: 5745, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5746 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5746, expected_value: E12000004, label: geography} + - {column: D, row: 5746, expected_value: Males, label: sex} + - {column: E, row: 5746, expected_value: Self-employed, label: employment type} + - {column: J, row: 5746, expected_value: Value, label: measure} + - {column: L, row: 5747, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5750 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5750, expected_value: E12000004, label: geography} + - {column: D, row: 5750, expected_value: Males, label: sex} + - {column: E, row: 5750, expected_value: Self-employed, label: employment type} + - {column: J, row: 5750, expected_value: Value, label: measure} + - {column: L, row: 5751, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5752 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5752, expected_value: E12000004, label: geography} + - {column: D, row: 5752, expected_value: Males, label: sex} + - {column: E, row: 5752, expected_value: Self-employed, label: employment type} + - {column: J, row: 5752, expected_value: Value, label: measure} + - {column: L, row: 5753, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5754 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5754, expected_value: E12000004, label: geography} + - {column: D, row: 5754, expected_value: Males, label: sex} + - {column: E, row: 5754, expected_value: Self-employed, label: employment type} + - {column: J, row: 5754, expected_value: Value, label: measure} + - {column: L, row: 5755, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5756 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5756, expected_value: E12000004, label: geography} + - {column: D, row: 5756, expected_value: Males, label: sex} + - {column: E, row: 5756, expected_value: Self-employed, label: employment type} + - {column: J, row: 5756, expected_value: Value, label: measure} + - {column: L, row: 5757, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5758 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5758, expected_value: E12000004, label: geography} + - {column: D, row: 5758, expected_value: Males, label: sex} + - {column: E, row: 5758, expected_value: Self-employed, label: employment type} + - {column: J, row: 5758, expected_value: Value, label: measure} + - {column: L, row: 5759, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5760 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5760, expected_value: E12000004, label: geography} + - {column: D, row: 5760, expected_value: Males, label: sex} + - {column: E, row: 5760, expected_value: Self-employed, label: employment type} + - {column: J, row: 5760, expected_value: Value, label: measure} + - {column: L, row: 5761, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5691 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5691, expected_value: E12000004, label: geography} + - {column: D, row: 5691, expected_value: Males, label: sex} + - {column: E, row: 5691, expected_value: Self-employed, label: employment type} + - {column: J, row: 5691, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5693 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5693, expected_value: E12000004, label: geography} + - {column: D, row: 5693, expected_value: Males, label: sex} + - {column: E, row: 5693, expected_value: Self-employed, label: employment type} + - {column: J, row: 5693, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5695 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5695, expected_value: E12000004, label: geography} + - {column: D, row: 5695, expected_value: Males, label: sex} + - {column: E, row: 5695, expected_value: Self-employed, label: employment type} + - {column: J, row: 5695, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5697 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5697, expected_value: E12000004, label: geography} + - {column: D, row: 5697, expected_value: Males, label: sex} + - {column: E, row: 5697, expected_value: Self-employed, label: employment type} + - {column: J, row: 5697, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5699 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5699, expected_value: E12000004, label: geography} + - {column: D, row: 5699, expected_value: Males, label: sex} + - {column: E, row: 5699, expected_value: Self-employed, label: employment type} + - {column: J, row: 5699, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5701 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5701, expected_value: E12000004, label: geography} + - {column: D, row: 5701, expected_value: Males, label: sex} + - {column: E, row: 5701, expected_value: Self-employed, label: employment type} + - {column: J, row: 5701, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5703 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5703, expected_value: E12000004, label: geography} + - {column: D, row: 5703, expected_value: Males, label: sex} + - {column: E, row: 5703, expected_value: Self-employed, label: employment type} + - {column: J, row: 5703, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5705 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5705, expected_value: E12000004, label: geography} + - {column: D, row: 5705, expected_value: Males, label: sex} + - {column: E, row: 5705, expected_value: Self-employed, label: employment type} + - {column: J, row: 5705, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5707 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5707, expected_value: E12000004, label: geography} + - {column: D, row: 5707, expected_value: Males, label: sex} + - {column: E, row: 5707, expected_value: Self-employed, label: employment type} + - {column: J, row: 5707, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5709 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5709, expected_value: E12000004, label: geography} + - {column: D, row: 5709, expected_value: Males, label: sex} + - {column: E, row: 5709, expected_value: Self-employed, label: employment type} + - {column: J, row: 5709, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5717 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5717, expected_value: E12000004, label: geography} + - {column: D, row: 5717, expected_value: Males, label: sex} + - {column: E, row: 5717, expected_value: Self-employed, label: employment type} + - {column: J, row: 5717, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5719 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5719, expected_value: E12000004, label: geography} + - {column: D, row: 5719, expected_value: Males, label: sex} + - {column: E, row: 5719, expected_value: Self-employed, label: employment type} + - {column: J, row: 5719, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5727 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5727, expected_value: E12000004, label: geography} + - {column: D, row: 5727, expected_value: Males, label: sex} + - {column: E, row: 5727, expected_value: Self-employed, label: employment type} + - {column: J, row: 5727, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5729 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5729, expected_value: E12000004, label: geography} + - {column: D, row: 5729, expected_value: Males, label: sex} + - {column: E, row: 5729, expected_value: Self-employed, label: employment type} + - {column: J, row: 5729, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5731 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5731, expected_value: E12000004, label: geography} + - {column: D, row: 5731, expected_value: Males, label: sex} + - {column: E, row: 5731, expected_value: Self-employed, label: employment type} + - {column: J, row: 5731, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5733 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5733, expected_value: E12000004, label: geography} + - {column: D, row: 5733, expected_value: Males, label: sex} + - {column: E, row: 5733, expected_value: Self-employed, label: employment type} + - {column: J, row: 5733, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5737 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5737, expected_value: E12000004, label: geography} + - {column: D, row: 5737, expected_value: Males, label: sex} + - {column: E, row: 5737, expected_value: Self-employed, label: employment type} + - {column: J, row: 5737, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5745 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5745, expected_value: E12000004, label: geography} + - {column: D, row: 5745, expected_value: Males, label: sex} + - {column: E, row: 5745, expected_value: Self-employed, label: employment type} + - {column: J, row: 5745, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5747 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5747, expected_value: E12000004, label: geography} + - {column: D, row: 5747, expected_value: Males, label: sex} + - {column: E, row: 5747, expected_value: Self-employed, label: employment type} + - {column: J, row: 5747, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5751 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5751, expected_value: E12000004, label: geography} + - {column: D, row: 5751, expected_value: Males, label: sex} + - {column: E, row: 5751, expected_value: Self-employed, label: employment type} + - {column: J, row: 5751, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5753 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5753, expected_value: E12000004, label: geography} + - {column: D, row: 5753, expected_value: Males, label: sex} + - {column: E, row: 5753, expected_value: Self-employed, label: employment type} + - {column: J, row: 5753, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5755 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5755, expected_value: E12000004, label: geography} + - {column: D, row: 5755, expected_value: Males, label: sex} + - {column: E, row: 5755, expected_value: Self-employed, label: employment type} + - {column: J, row: 5755, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5757 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5757, expected_value: E12000004, label: geography} + - {column: D, row: 5757, expected_value: Males, label: sex} + - {column: E, row: 5757, expected_value: Self-employed, label: employment type} + - {column: J, row: 5757, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5330 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5330, expected_value: E12000004, label: geography} + - {column: D, row: 5330, expected_value: Females, label: sex} + - {column: E, row: 5330, expected_value: Total, label: employment type} + - {column: J, row: 5330, expected_value: Value, label: measure} + - {column: L, row: 5331, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5332 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5332, expected_value: E12000004, label: geography} + - {column: D, row: 5332, expected_value: Females, label: sex} + - {column: E, row: 5332, expected_value: Total, label: employment type} + - {column: J, row: 5332, expected_value: Value, label: measure} + - {column: L, row: 5333, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5334 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5334, expected_value: E12000004, label: geography} + - {column: D, row: 5334, expected_value: Females, label: sex} + - {column: E, row: 5334, expected_value: Total, label: employment type} + - {column: J, row: 5334, expected_value: Value, label: measure} + - {column: L, row: 5335, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5336 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5336, expected_value: E12000004, label: geography} + - {column: D, row: 5336, expected_value: Females, label: sex} + - {column: E, row: 5336, expected_value: Total, label: employment type} + - {column: J, row: 5336, expected_value: Value, label: measure} + - {column: L, row: 5337, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5338 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5338, expected_value: E12000004, label: geography} + - {column: D, row: 5338, expected_value: Females, label: sex} + - {column: E, row: 5338, expected_value: Total, label: employment type} + - {column: J, row: 5338, expected_value: Value, label: measure} + - {column: L, row: 5339, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5340 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5340, expected_value: E12000004, label: geography} + - {column: D, row: 5340, expected_value: Females, label: sex} + - {column: E, row: 5340, expected_value: Total, label: employment type} + - {column: J, row: 5340, expected_value: Value, label: measure} + - {column: L, row: 5341, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5342 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5342, expected_value: E12000004, label: geography} + - {column: D, row: 5342, expected_value: Females, label: sex} + - {column: E, row: 5342, expected_value: Total, label: employment type} + - {column: J, row: 5342, expected_value: Value, label: measure} + - {column: L, row: 5343, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5344 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5344, expected_value: E12000004, label: geography} + - {column: D, row: 5344, expected_value: Females, label: sex} + - {column: E, row: 5344, expected_value: Total, label: employment type} + - {column: J, row: 5344, expected_value: Value, label: measure} + - {column: L, row: 5345, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5346 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5346, expected_value: E12000004, label: geography} + - {column: D, row: 5346, expected_value: Females, label: sex} + - {column: E, row: 5346, expected_value: Total, label: employment type} + - {column: J, row: 5346, expected_value: Value, label: measure} + - {column: L, row: 5347, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5348 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5348, expected_value: E12000004, label: geography} + - {column: D, row: 5348, expected_value: Females, label: sex} + - {column: E, row: 5348, expected_value: Total, label: employment type} + - {column: J, row: 5348, expected_value: Value, label: measure} + - {column: L, row: 5349, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5350 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5350, expected_value: E12000004, label: geography} + - {column: D, row: 5350, expected_value: Females, label: sex} + - {column: E, row: 5350, expected_value: Total, label: employment type} + - {column: J, row: 5350, expected_value: Value, label: measure} + - {column: L, row: 5351, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5352 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5352, expected_value: E12000004, label: geography} + - {column: D, row: 5352, expected_value: Females, label: sex} + - {column: E, row: 5352, expected_value: Total, label: employment type} + - {column: J, row: 5352, expected_value: Value, label: measure} + - {column: L, row: 5353, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5354 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5354, expected_value: E12000004, label: geography} + - {column: D, row: 5354, expected_value: Females, label: sex} + - {column: E, row: 5354, expected_value: Total, label: employment type} + - {column: J, row: 5354, expected_value: Value, label: measure} + - {column: L, row: 5355, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5356 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5356, expected_value: E12000004, label: geography} + - {column: D, row: 5356, expected_value: Females, label: sex} + - {column: E, row: 5356, expected_value: Total, label: employment type} + - {column: J, row: 5356, expected_value: Value, label: measure} + - {column: L, row: 5357, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5358 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5358, expected_value: E12000004, label: geography} + - {column: D, row: 5358, expected_value: Females, label: sex} + - {column: E, row: 5358, expected_value: Total, label: employment type} + - {column: J, row: 5358, expected_value: Value, label: measure} + - {column: L, row: 5359, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5360 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5360, expected_value: E12000004, label: geography} + - {column: D, row: 5360, expected_value: Females, label: sex} + - {column: E, row: 5360, expected_value: Total, label: employment type} + - {column: J, row: 5360, expected_value: Value, label: measure} + - {column: L, row: 5361, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5362 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5362, expected_value: E12000004, label: geography} + - {column: D, row: 5362, expected_value: Females, label: sex} + - {column: E, row: 5362, expected_value: Total, label: employment type} + - {column: J, row: 5362, expected_value: Value, label: measure} + - {column: L, row: 5363, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5364 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5364, expected_value: E12000004, label: geography} + - {column: D, row: 5364, expected_value: Females, label: sex} + - {column: E, row: 5364, expected_value: Total, label: employment type} + - {column: J, row: 5364, expected_value: Value, label: measure} + - {column: L, row: 5365, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5366 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5366, expected_value: E12000004, label: geography} + - {column: D, row: 5366, expected_value: Females, label: sex} + - {column: E, row: 5366, expected_value: Total, label: employment type} + - {column: J, row: 5366, expected_value: Value, label: measure} + - {column: L, row: 5367, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5368 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5368, expected_value: E12000004, label: geography} + - {column: D, row: 5368, expected_value: Females, label: sex} + - {column: E, row: 5368, expected_value: Total, label: employment type} + - {column: J, row: 5368, expected_value: Value, label: measure} + - {column: L, row: 5369, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5370 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5370, expected_value: E12000004, label: geography} + - {column: D, row: 5370, expected_value: Females, label: sex} + - {column: E, row: 5370, expected_value: Total, label: employment type} + - {column: J, row: 5370, expected_value: Value, label: measure} + - {column: L, row: 5371, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5374 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5374, expected_value: E12000004, label: geography} + - {column: D, row: 5374, expected_value: Females, label: sex} + - {column: E, row: 5374, expected_value: Total, label: employment type} + - {column: J, row: 5374, expected_value: Value, label: measure} + - {column: L, row: 5375, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5376 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5376, expected_value: E12000004, label: geography} + - {column: D, row: 5376, expected_value: Females, label: sex} + - {column: E, row: 5376, expected_value: Total, label: employment type} + - {column: J, row: 5376, expected_value: Value, label: measure} + - {column: L, row: 5377, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5378 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5378, expected_value: E12000004, label: geography} + - {column: D, row: 5378, expected_value: Females, label: sex} + - {column: E, row: 5378, expected_value: Total, label: employment type} + - {column: J, row: 5378, expected_value: Value, label: measure} + - {column: L, row: 5379, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5380 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5380, expected_value: E12000004, label: geography} + - {column: D, row: 5380, expected_value: Females, label: sex} + - {column: E, row: 5380, expected_value: Total, label: employment type} + - {column: J, row: 5380, expected_value: Value, label: measure} + - {column: L, row: 5381, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5384 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5384, expected_value: E12000004, label: geography} + - {column: D, row: 5384, expected_value: Females, label: sex} + - {column: E, row: 5384, expected_value: Total, label: employment type} + - {column: J, row: 5384, expected_value: Value, label: measure} + - {column: L, row: 5385, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5386 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5386, expected_value: E12000004, label: geography} + - {column: D, row: 5386, expected_value: Females, label: sex} + - {column: E, row: 5386, expected_value: Total, label: employment type} + - {column: J, row: 5386, expected_value: Value, label: measure} + - {column: L, row: 5387, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5388 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5388, expected_value: E12000004, label: geography} + - {column: D, row: 5388, expected_value: Females, label: sex} + - {column: E, row: 5388, expected_value: Total, label: employment type} + - {column: J, row: 5388, expected_value: Value, label: measure} + - {column: L, row: 5389, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5390 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5390, expected_value: E12000004, label: geography} + - {column: D, row: 5390, expected_value: Females, label: sex} + - {column: E, row: 5390, expected_value: Total, label: employment type} + - {column: J, row: 5390, expected_value: Value, label: measure} + - {column: L, row: 5391, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5392 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5392, expected_value: E12000004, label: geography} + - {column: D, row: 5392, expected_value: Females, label: sex} + - {column: E, row: 5392, expected_value: Total, label: employment type} + - {column: J, row: 5392, expected_value: Value, label: measure} + - {column: L, row: 5393, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5394 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5394, expected_value: E12000004, label: geography} + - {column: D, row: 5394, expected_value: Females, label: sex} + - {column: E, row: 5394, expected_value: Total, label: employment type} + - {column: J, row: 5394, expected_value: Value, label: measure} + - {column: L, row: 5395, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5396 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5396, expected_value: E12000004, label: geography} + - {column: D, row: 5396, expected_value: Females, label: sex} + - {column: E, row: 5396, expected_value: Total, label: employment type} + - {column: J, row: 5396, expected_value: Value, label: measure} + - {column: L, row: 5397, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5398 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5398, expected_value: E12000004, label: geography} + - {column: D, row: 5398, expected_value: Females, label: sex} + - {column: E, row: 5398, expected_value: Total, label: employment type} + - {column: J, row: 5398, expected_value: Value, label: measure} + - {column: L, row: 5399, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5400 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5400, expected_value: E12000004, label: geography} + - {column: D, row: 5400, expected_value: Females, label: sex} + - {column: E, row: 5400, expected_value: Total, label: employment type} + - {column: J, row: 5400, expected_value: Value, label: measure} + - {column: L, row: 5401, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5331 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5331, expected_value: E12000004, label: geography} + - {column: D, row: 5331, expected_value: Females, label: sex} + - {column: E, row: 5331, expected_value: Total, label: employment type} + - {column: J, row: 5331, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5333 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5333, expected_value: E12000004, label: geography} + - {column: D, row: 5333, expected_value: Females, label: sex} + - {column: E, row: 5333, expected_value: Total, label: employment type} + - {column: J, row: 5333, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5335 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5335, expected_value: E12000004, label: geography} + - {column: D, row: 5335, expected_value: Females, label: sex} + - {column: E, row: 5335, expected_value: Total, label: employment type} + - {column: J, row: 5335, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5337 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5337, expected_value: E12000004, label: geography} + - {column: D, row: 5337, expected_value: Females, label: sex} + - {column: E, row: 5337, expected_value: Total, label: employment type} + - {column: J, row: 5337, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5339 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5339, expected_value: E12000004, label: geography} + - {column: D, row: 5339, expected_value: Females, label: sex} + - {column: E, row: 5339, expected_value: Total, label: employment type} + - {column: J, row: 5339, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5341 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5341, expected_value: E12000004, label: geography} + - {column: D, row: 5341, expected_value: Females, label: sex} + - {column: E, row: 5341, expected_value: Total, label: employment type} + - {column: J, row: 5341, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5343 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5343, expected_value: E12000004, label: geography} + - {column: D, row: 5343, expected_value: Females, label: sex} + - {column: E, row: 5343, expected_value: Total, label: employment type} + - {column: J, row: 5343, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5345 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5345, expected_value: E12000004, label: geography} + - {column: D, row: 5345, expected_value: Females, label: sex} + - {column: E, row: 5345, expected_value: Total, label: employment type} + - {column: J, row: 5345, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5347 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5347, expected_value: E12000004, label: geography} + - {column: D, row: 5347, expected_value: Females, label: sex} + - {column: E, row: 5347, expected_value: Total, label: employment type} + - {column: J, row: 5347, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5349 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5349, expected_value: E12000004, label: geography} + - {column: D, row: 5349, expected_value: Females, label: sex} + - {column: E, row: 5349, expected_value: Total, label: employment type} + - {column: J, row: 5349, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5351 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5351, expected_value: E12000004, label: geography} + - {column: D, row: 5351, expected_value: Females, label: sex} + - {column: E, row: 5351, expected_value: Total, label: employment type} + - {column: J, row: 5351, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5353 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5353, expected_value: E12000004, label: geography} + - {column: D, row: 5353, expected_value: Females, label: sex} + - {column: E, row: 5353, expected_value: Total, label: employment type} + - {column: J, row: 5353, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5355 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5355, expected_value: E12000004, label: geography} + - {column: D, row: 5355, expected_value: Females, label: sex} + - {column: E, row: 5355, expected_value: Total, label: employment type} + - {column: J, row: 5355, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5357 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5357, expected_value: E12000004, label: geography} + - {column: D, row: 5357, expected_value: Females, label: sex} + - {column: E, row: 5357, expected_value: Total, label: employment type} + - {column: J, row: 5357, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5359 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5359, expected_value: E12000004, label: geography} + - {column: D, row: 5359, expected_value: Females, label: sex} + - {column: E, row: 5359, expected_value: Total, label: employment type} + - {column: J, row: 5359, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5361 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5361, expected_value: E12000004, label: geography} + - {column: D, row: 5361, expected_value: Females, label: sex} + - {column: E, row: 5361, expected_value: Total, label: employment type} + - {column: J, row: 5361, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5363 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5363, expected_value: E12000004, label: geography} + - {column: D, row: 5363, expected_value: Females, label: sex} + - {column: E, row: 5363, expected_value: Total, label: employment type} + - {column: J, row: 5363, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5365 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5365, expected_value: E12000004, label: geography} + - {column: D, row: 5365, expected_value: Females, label: sex} + - {column: E, row: 5365, expected_value: Total, label: employment type} + - {column: J, row: 5365, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5367 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5367, expected_value: E12000004, label: geography} + - {column: D, row: 5367, expected_value: Females, label: sex} + - {column: E, row: 5367, expected_value: Total, label: employment type} + - {column: J, row: 5367, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5375 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5375, expected_value: E12000004, label: geography} + - {column: D, row: 5375, expected_value: Females, label: sex} + - {column: E, row: 5375, expected_value: Total, label: employment type} + - {column: J, row: 5375, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5377 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5377, expected_value: E12000004, label: geography} + - {column: D, row: 5377, expected_value: Females, label: sex} + - {column: E, row: 5377, expected_value: Total, label: employment type} + - {column: J, row: 5377, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5379 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5379, expected_value: E12000004, label: geography} + - {column: D, row: 5379, expected_value: Females, label: sex} + - {column: E, row: 5379, expected_value: Total, label: employment type} + - {column: J, row: 5379, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5381 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5381, expected_value: E12000004, label: geography} + - {column: D, row: 5381, expected_value: Females, label: sex} + - {column: E, row: 5381, expected_value: Total, label: employment type} + - {column: J, row: 5381, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5385 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5385, expected_value: E12000004, label: geography} + - {column: D, row: 5385, expected_value: Females, label: sex} + - {column: E, row: 5385, expected_value: Total, label: employment type} + - {column: J, row: 5385, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5387 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5387, expected_value: E12000004, label: geography} + - {column: D, row: 5387, expected_value: Females, label: sex} + - {column: E, row: 5387, expected_value: Total, label: employment type} + - {column: J, row: 5387, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5389 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5389, expected_value: E12000004, label: geography} + - {column: D, row: 5389, expected_value: Females, label: sex} + - {column: E, row: 5389, expected_value: Total, label: employment type} + - {column: J, row: 5389, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5391 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5391, expected_value: E12000004, label: geography} + - {column: D, row: 5391, expected_value: Females, label: sex} + - {column: E, row: 5391, expected_value: Total, label: employment type} + - {column: J, row: 5391, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5393 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5393, expected_value: E12000004, label: geography} + - {column: D, row: 5393, expected_value: Females, label: sex} + - {column: E, row: 5393, expected_value: Total, label: employment type} + - {column: J, row: 5393, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5395 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5395, expected_value: E12000004, label: geography} + - {column: D, row: 5395, expected_value: Females, label: sex} + - {column: E, row: 5395, expected_value: Total, label: employment type} + - {column: J, row: 5395, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5397 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5397, expected_value: E12000004, label: geography} + - {column: D, row: 5397, expected_value: Females, label: sex} + - {column: E, row: 5397, expected_value: Total, label: employment type} + - {column: J, row: 5397, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5399 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5399, expected_value: E12000004, label: geography} + - {column: D, row: 5399, expected_value: Females, label: sex} + - {column: E, row: 5399, expected_value: Total, label: employment type} + - {column: J, row: 5399, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5401 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5401, expected_value: E12000004, label: geography} + - {column: D, row: 5401, expected_value: Females, label: sex} + - {column: E, row: 5401, expected_value: Total, label: employment type} + - {column: J, row: 5401, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5546 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5546, expected_value: E12000004, label: geography} + - {column: D, row: 5546, expected_value: Females, label: sex} + - {column: E, row: 5546, expected_value: Employee, label: employment type} + - {column: J, row: 5546, expected_value: Value, label: measure} + - {column: L, row: 5547, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5548 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5548, expected_value: E12000004, label: geography} + - {column: D, row: 5548, expected_value: Females, label: sex} + - {column: E, row: 5548, expected_value: Employee, label: employment type} + - {column: J, row: 5548, expected_value: Value, label: measure} + - {column: L, row: 5549, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5550 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5550, expected_value: E12000004, label: geography} + - {column: D, row: 5550, expected_value: Females, label: sex} + - {column: E, row: 5550, expected_value: Employee, label: employment type} + - {column: J, row: 5550, expected_value: Value, label: measure} + - {column: L, row: 5551, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5552 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5552, expected_value: E12000004, label: geography} + - {column: D, row: 5552, expected_value: Females, label: sex} + - {column: E, row: 5552, expected_value: Employee, label: employment type} + - {column: J, row: 5552, expected_value: Value, label: measure} + - {column: L, row: 5553, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5554 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5554, expected_value: E12000004, label: geography} + - {column: D, row: 5554, expected_value: Females, label: sex} + - {column: E, row: 5554, expected_value: Employee, label: employment type} + - {column: J, row: 5554, expected_value: Value, label: measure} + - {column: L, row: 5555, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5556 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5556, expected_value: E12000004, label: geography} + - {column: D, row: 5556, expected_value: Females, label: sex} + - {column: E, row: 5556, expected_value: Employee, label: employment type} + - {column: J, row: 5556, expected_value: Value, label: measure} + - {column: L, row: 5557, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5558 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5558, expected_value: E12000004, label: geography} + - {column: D, row: 5558, expected_value: Females, label: sex} + - {column: E, row: 5558, expected_value: Employee, label: employment type} + - {column: J, row: 5558, expected_value: Value, label: measure} + - {column: L, row: 5559, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5560 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5560, expected_value: E12000004, label: geography} + - {column: D, row: 5560, expected_value: Females, label: sex} + - {column: E, row: 5560, expected_value: Employee, label: employment type} + - {column: J, row: 5560, expected_value: Value, label: measure} + - {column: L, row: 5561, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5562 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5562, expected_value: E12000004, label: geography} + - {column: D, row: 5562, expected_value: Females, label: sex} + - {column: E, row: 5562, expected_value: Employee, label: employment type} + - {column: J, row: 5562, expected_value: Value, label: measure} + - {column: L, row: 5563, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5564 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5564, expected_value: E12000004, label: geography} + - {column: D, row: 5564, expected_value: Females, label: sex} + - {column: E, row: 5564, expected_value: Employee, label: employment type} + - {column: J, row: 5564, expected_value: Value, label: measure} + - {column: L, row: 5565, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5566 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5566, expected_value: E12000004, label: geography} + - {column: D, row: 5566, expected_value: Females, label: sex} + - {column: E, row: 5566, expected_value: Employee, label: employment type} + - {column: J, row: 5566, expected_value: Value, label: measure} + - {column: L, row: 5567, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5568 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5568, expected_value: E12000004, label: geography} + - {column: D, row: 5568, expected_value: Females, label: sex} + - {column: E, row: 5568, expected_value: Employee, label: employment type} + - {column: J, row: 5568, expected_value: Value, label: measure} + - {column: L, row: 5569, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5570 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5570, expected_value: E12000004, label: geography} + - {column: D, row: 5570, expected_value: Females, label: sex} + - {column: E, row: 5570, expected_value: Employee, label: employment type} + - {column: J, row: 5570, expected_value: Value, label: measure} + - {column: L, row: 5571, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5572 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5572, expected_value: E12000004, label: geography} + - {column: D, row: 5572, expected_value: Females, label: sex} + - {column: E, row: 5572, expected_value: Employee, label: employment type} + - {column: J, row: 5572, expected_value: Value, label: measure} + - {column: L, row: 5573, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5574 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5574, expected_value: E12000004, label: geography} + - {column: D, row: 5574, expected_value: Females, label: sex} + - {column: E, row: 5574, expected_value: Employee, label: employment type} + - {column: J, row: 5574, expected_value: Value, label: measure} + - {column: L, row: 5575, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5576 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5576, expected_value: E12000004, label: geography} + - {column: D, row: 5576, expected_value: Females, label: sex} + - {column: E, row: 5576, expected_value: Employee, label: employment type} + - {column: J, row: 5576, expected_value: Value, label: measure} + - {column: L, row: 5577, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5578 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5578, expected_value: E12000004, label: geography} + - {column: D, row: 5578, expected_value: Females, label: sex} + - {column: E, row: 5578, expected_value: Employee, label: employment type} + - {column: J, row: 5578, expected_value: Value, label: measure} + - {column: L, row: 5579, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5580 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5580, expected_value: E12000004, label: geography} + - {column: D, row: 5580, expected_value: Females, label: sex} + - {column: E, row: 5580, expected_value: Employee, label: employment type} + - {column: J, row: 5580, expected_value: Value, label: measure} + - {column: L, row: 5581, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5582 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5582, expected_value: E12000004, label: geography} + - {column: D, row: 5582, expected_value: Females, label: sex} + - {column: E, row: 5582, expected_value: Employee, label: employment type} + - {column: J, row: 5582, expected_value: Value, label: measure} + - {column: L, row: 5583, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5586 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5586, expected_value: E12000004, label: geography} + - {column: D, row: 5586, expected_value: Females, label: sex} + - {column: E, row: 5586, expected_value: Employee, label: employment type} + - {column: J, row: 5586, expected_value: Value, label: measure} + - {column: L, row: 5587, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5590 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5590, expected_value: E12000004, label: geography} + - {column: D, row: 5590, expected_value: Females, label: sex} + - {column: E, row: 5590, expected_value: Employee, label: employment type} + - {column: J, row: 5590, expected_value: Value, label: measure} + - {column: L, row: 5591, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5592 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5592, expected_value: E12000004, label: geography} + - {column: D, row: 5592, expected_value: Females, label: sex} + - {column: E, row: 5592, expected_value: Employee, label: employment type} + - {column: J, row: 5592, expected_value: Value, label: measure} + - {column: L, row: 5593, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5594 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5594, expected_value: E12000004, label: geography} + - {column: D, row: 5594, expected_value: Females, label: sex} + - {column: E, row: 5594, expected_value: Employee, label: employment type} + - {column: J, row: 5594, expected_value: Value, label: measure} + - {column: L, row: 5595, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5596 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5596, expected_value: E12000004, label: geography} + - {column: D, row: 5596, expected_value: Females, label: sex} + - {column: E, row: 5596, expected_value: Employee, label: employment type} + - {column: J, row: 5596, expected_value: Value, label: measure} + - {column: L, row: 5597, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5600 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5600, expected_value: E12000004, label: geography} + - {column: D, row: 5600, expected_value: Females, label: sex} + - {column: E, row: 5600, expected_value: Employee, label: employment type} + - {column: J, row: 5600, expected_value: Value, label: measure} + - {column: L, row: 5601, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5602 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5602, expected_value: E12000004, label: geography} + - {column: D, row: 5602, expected_value: Females, label: sex} + - {column: E, row: 5602, expected_value: Employee, label: employment type} + - {column: J, row: 5602, expected_value: Value, label: measure} + - {column: L, row: 5603, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5604 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5604, expected_value: E12000004, label: geography} + - {column: D, row: 5604, expected_value: Females, label: sex} + - {column: E, row: 5604, expected_value: Employee, label: employment type} + - {column: J, row: 5604, expected_value: Value, label: measure} + - {column: L, row: 5605, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5606 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5606, expected_value: E12000004, label: geography} + - {column: D, row: 5606, expected_value: Females, label: sex} + - {column: E, row: 5606, expected_value: Employee, label: employment type} + - {column: J, row: 5606, expected_value: Value, label: measure} + - {column: L, row: 5607, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5608 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5608, expected_value: E12000004, label: geography} + - {column: D, row: 5608, expected_value: Females, label: sex} + - {column: E, row: 5608, expected_value: Employee, label: employment type} + - {column: J, row: 5608, expected_value: Value, label: measure} + - {column: L, row: 5609, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5610 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5610, expected_value: E12000004, label: geography} + - {column: D, row: 5610, expected_value: Females, label: sex} + - {column: E, row: 5610, expected_value: Employee, label: employment type} + - {column: J, row: 5610, expected_value: Value, label: measure} + - {column: L, row: 5611, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5612 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5612, expected_value: E12000004, label: geography} + - {column: D, row: 5612, expected_value: Females, label: sex} + - {column: E, row: 5612, expected_value: Employee, label: employment type} + - {column: J, row: 5612, expected_value: Value, label: measure} + - {column: L, row: 5613, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5614 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5614, expected_value: E12000004, label: geography} + - {column: D, row: 5614, expected_value: Females, label: sex} + - {column: E, row: 5614, expected_value: Employee, label: employment type} + - {column: J, row: 5614, expected_value: Value, label: measure} + - {column: L, row: 5615, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5616 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5616, expected_value: E12000004, label: geography} + - {column: D, row: 5616, expected_value: Females, label: sex} + - {column: E, row: 5616, expected_value: Employee, label: employment type} + - {column: J, row: 5616, expected_value: Value, label: measure} + - {column: L, row: 5617, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5547 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5547, expected_value: E12000004, label: geography} + - {column: D, row: 5547, expected_value: Females, label: sex} + - {column: E, row: 5547, expected_value: Employee, label: employment type} + - {column: J, row: 5547, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5549 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5549, expected_value: E12000004, label: geography} + - {column: D, row: 5549, expected_value: Females, label: sex} + - {column: E, row: 5549, expected_value: Employee, label: employment type} + - {column: J, row: 5549, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5551 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5551, expected_value: E12000004, label: geography} + - {column: D, row: 5551, expected_value: Females, label: sex} + - {column: E, row: 5551, expected_value: Employee, label: employment type} + - {column: J, row: 5551, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5553 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5553, expected_value: E12000004, label: geography} + - {column: D, row: 5553, expected_value: Females, label: sex} + - {column: E, row: 5553, expected_value: Employee, label: employment type} + - {column: J, row: 5553, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5555 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5555, expected_value: E12000004, label: geography} + - {column: D, row: 5555, expected_value: Females, label: sex} + - {column: E, row: 5555, expected_value: Employee, label: employment type} + - {column: J, row: 5555, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5557 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5557, expected_value: E12000004, label: geography} + - {column: D, row: 5557, expected_value: Females, label: sex} + - {column: E, row: 5557, expected_value: Employee, label: employment type} + - {column: J, row: 5557, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5559 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5559, expected_value: E12000004, label: geography} + - {column: D, row: 5559, expected_value: Females, label: sex} + - {column: E, row: 5559, expected_value: Employee, label: employment type} + - {column: J, row: 5559, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5561 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5561, expected_value: E12000004, label: geography} + - {column: D, row: 5561, expected_value: Females, label: sex} + - {column: E, row: 5561, expected_value: Employee, label: employment type} + - {column: J, row: 5561, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5563 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5563, expected_value: E12000004, label: geography} + - {column: D, row: 5563, expected_value: Females, label: sex} + - {column: E, row: 5563, expected_value: Employee, label: employment type} + - {column: J, row: 5563, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5565 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5565, expected_value: E12000004, label: geography} + - {column: D, row: 5565, expected_value: Females, label: sex} + - {column: E, row: 5565, expected_value: Employee, label: employment type} + - {column: J, row: 5565, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5567 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5567, expected_value: E12000004, label: geography} + - {column: D, row: 5567, expected_value: Females, label: sex} + - {column: E, row: 5567, expected_value: Employee, label: employment type} + - {column: J, row: 5567, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5569 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5569, expected_value: E12000004, label: geography} + - {column: D, row: 5569, expected_value: Females, label: sex} + - {column: E, row: 5569, expected_value: Employee, label: employment type} + - {column: J, row: 5569, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5571 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5571, expected_value: E12000004, label: geography} + - {column: D, row: 5571, expected_value: Females, label: sex} + - {column: E, row: 5571, expected_value: Employee, label: employment type} + - {column: J, row: 5571, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5573 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5573, expected_value: E12000004, label: geography} + - {column: D, row: 5573, expected_value: Females, label: sex} + - {column: E, row: 5573, expected_value: Employee, label: employment type} + - {column: J, row: 5573, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5575 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5575, expected_value: E12000004, label: geography} + - {column: D, row: 5575, expected_value: Females, label: sex} + - {column: E, row: 5575, expected_value: Employee, label: employment type} + - {column: J, row: 5575, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5577 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5577, expected_value: E12000004, label: geography} + - {column: D, row: 5577, expected_value: Females, label: sex} + - {column: E, row: 5577, expected_value: Employee, label: employment type} + - {column: J, row: 5577, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5579 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5579, expected_value: E12000004, label: geography} + - {column: D, row: 5579, expected_value: Females, label: sex} + - {column: E, row: 5579, expected_value: Employee, label: employment type} + - {column: J, row: 5579, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5581 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5581, expected_value: E12000004, label: geography} + - {column: D, row: 5581, expected_value: Females, label: sex} + - {column: E, row: 5581, expected_value: Employee, label: employment type} + - {column: J, row: 5581, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5583 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5583, expected_value: E12000004, label: geography} + - {column: D, row: 5583, expected_value: Females, label: sex} + - {column: E, row: 5583, expected_value: Employee, label: employment type} + - {column: J, row: 5583, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5591 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5591, expected_value: E12000004, label: geography} + - {column: D, row: 5591, expected_value: Females, label: sex} + - {column: E, row: 5591, expected_value: Employee, label: employment type} + - {column: J, row: 5591, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5593 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5593, expected_value: E12000004, label: geography} + - {column: D, row: 5593, expected_value: Females, label: sex} + - {column: E, row: 5593, expected_value: Employee, label: employment type} + - {column: J, row: 5593, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5595 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5595, expected_value: E12000004, label: geography} + - {column: D, row: 5595, expected_value: Females, label: sex} + - {column: E, row: 5595, expected_value: Employee, label: employment type} + - {column: J, row: 5595, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5597 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5597, expected_value: E12000004, label: geography} + - {column: D, row: 5597, expected_value: Females, label: sex} + - {column: E, row: 5597, expected_value: Employee, label: employment type} + - {column: J, row: 5597, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5601 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5601, expected_value: E12000004, label: geography} + - {column: D, row: 5601, expected_value: Females, label: sex} + - {column: E, row: 5601, expected_value: Employee, label: employment type} + - {column: J, row: 5601, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5603 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5603, expected_value: E12000004, label: geography} + - {column: D, row: 5603, expected_value: Females, label: sex} + - {column: E, row: 5603, expected_value: Employee, label: employment type} + - {column: J, row: 5603, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5605 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5605, expected_value: E12000004, label: geography} + - {column: D, row: 5605, expected_value: Females, label: sex} + - {column: E, row: 5605, expected_value: Employee, label: employment type} + - {column: J, row: 5605, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5607 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5607, expected_value: E12000004, label: geography} + - {column: D, row: 5607, expected_value: Females, label: sex} + - {column: E, row: 5607, expected_value: Employee, label: employment type} + - {column: J, row: 5607, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5609 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5609, expected_value: E12000004, label: geography} + - {column: D, row: 5609, expected_value: Females, label: sex} + - {column: E, row: 5609, expected_value: Employee, label: employment type} + - {column: J, row: 5609, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5611 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5611, expected_value: E12000004, label: geography} + - {column: D, row: 5611, expected_value: Females, label: sex} + - {column: E, row: 5611, expected_value: Employee, label: employment type} + - {column: J, row: 5611, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5613 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5613, expected_value: E12000004, label: geography} + - {column: D, row: 5613, expected_value: Females, label: sex} + - {column: E, row: 5613, expected_value: Employee, label: employment type} + - {column: J, row: 5613, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5615 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5615, expected_value: E12000004, label: geography} + - {column: D, row: 5615, expected_value: Females, label: sex} + - {column: E, row: 5615, expected_value: Employee, label: employment type} + - {column: J, row: 5615, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5617 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5617, expected_value: E12000004, label: geography} + - {column: D, row: 5617, expected_value: Females, label: sex} + - {column: E, row: 5617, expected_value: Employee, label: employment type} + - {column: J, row: 5617, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5762 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5762, expected_value: E12000004, label: geography} + - {column: D, row: 5762, expected_value: Females, label: sex} + - {column: E, row: 5762, expected_value: Self-employed, label: employment type} + - {column: J, row: 5762, expected_value: Value, label: measure} + - {column: L, row: 5763, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5764 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5764, expected_value: E12000004, label: geography} + - {column: D, row: 5764, expected_value: Females, label: sex} + - {column: E, row: 5764, expected_value: Self-employed, label: employment type} + - {column: J, row: 5764, expected_value: Value, label: measure} + - {column: L, row: 5765, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5766 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5766, expected_value: E12000004, label: geography} + - {column: D, row: 5766, expected_value: Females, label: sex} + - {column: E, row: 5766, expected_value: Self-employed, label: employment type} + - {column: J, row: 5766, expected_value: Value, label: measure} + - {column: L, row: 5767, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5768 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5768, expected_value: E12000004, label: geography} + - {column: D, row: 5768, expected_value: Females, label: sex} + - {column: E, row: 5768, expected_value: Self-employed, label: employment type} + - {column: J, row: 5768, expected_value: Value, label: measure} + - {column: L, row: 5769, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5770 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5770, expected_value: E12000004, label: geography} + - {column: D, row: 5770, expected_value: Females, label: sex} + - {column: E, row: 5770, expected_value: Self-employed, label: employment type} + - {column: J, row: 5770, expected_value: Value, label: measure} + - {column: L, row: 5771, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5772 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5772, expected_value: E12000004, label: geography} + - {column: D, row: 5772, expected_value: Females, label: sex} + - {column: E, row: 5772, expected_value: Self-employed, label: employment type} + - {column: J, row: 5772, expected_value: Value, label: measure} + - {column: L, row: 5773, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5774 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5774, expected_value: E12000004, label: geography} + - {column: D, row: 5774, expected_value: Females, label: sex} + - {column: E, row: 5774, expected_value: Self-employed, label: employment type} + - {column: J, row: 5774, expected_value: Value, label: measure} + - {column: L, row: 5775, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5776 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5776, expected_value: E12000004, label: geography} + - {column: D, row: 5776, expected_value: Females, label: sex} + - {column: E, row: 5776, expected_value: Self-employed, label: employment type} + - {column: J, row: 5776, expected_value: Value, label: measure} + - {column: L, row: 5777, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5778 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5778, expected_value: E12000004, label: geography} + - {column: D, row: 5778, expected_value: Females, label: sex} + - {column: E, row: 5778, expected_value: Self-employed, label: employment type} + - {column: J, row: 5778, expected_value: Value, label: measure} + - {column: L, row: 5779, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5780 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5780, expected_value: E12000004, label: geography} + - {column: D, row: 5780, expected_value: Females, label: sex} + - {column: E, row: 5780, expected_value: Self-employed, label: employment type} + - {column: J, row: 5780, expected_value: Value, label: measure} + - {column: L, row: 5781, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5784 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5784, expected_value: E12000004, label: geography} + - {column: D, row: 5784, expected_value: Females, label: sex} + - {column: E, row: 5784, expected_value: Self-employed, label: employment type} + - {column: J, row: 5784, expected_value: Value, label: measure} + - {column: L, row: 5785, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5788 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5788, expected_value: E12000004, label: geography} + - {column: D, row: 5788, expected_value: Females, label: sex} + - {column: E, row: 5788, expected_value: Self-employed, label: employment type} + - {column: J, row: 5788, expected_value: Value, label: measure} + - {column: L, row: 5789, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5790 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5790, expected_value: E12000004, label: geography} + - {column: D, row: 5790, expected_value: Females, label: sex} + - {column: E, row: 5790, expected_value: Self-employed, label: employment type} + - {column: J, row: 5790, expected_value: Value, label: measure} + - {column: L, row: 5791, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5792 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5792, expected_value: E12000004, label: geography} + - {column: D, row: 5792, expected_value: Females, label: sex} + - {column: E, row: 5792, expected_value: Self-employed, label: employment type} + - {column: J, row: 5792, expected_value: Value, label: measure} + - {column: L, row: 5793, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5794 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5794, expected_value: E12000004, label: geography} + - {column: D, row: 5794, expected_value: Females, label: sex} + - {column: E, row: 5794, expected_value: Self-employed, label: employment type} + - {column: J, row: 5794, expected_value: Value, label: measure} + - {column: L, row: 5795, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5796 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5796, expected_value: E12000004, label: geography} + - {column: D, row: 5796, expected_value: Females, label: sex} + - {column: E, row: 5796, expected_value: Self-employed, label: employment type} + - {column: J, row: 5796, expected_value: Value, label: measure} + - {column: L, row: 5797, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5798 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5798, expected_value: E12000004, label: geography} + - {column: D, row: 5798, expected_value: Females, label: sex} + - {column: E, row: 5798, expected_value: Self-employed, label: employment type} + - {column: J, row: 5798, expected_value: Value, label: measure} + - {column: L, row: 5799, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5800 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5800, expected_value: E12000004, label: geography} + - {column: D, row: 5800, expected_value: Females, label: sex} + - {column: E, row: 5800, expected_value: Self-employed, label: employment type} + - {column: J, row: 5800, expected_value: Value, label: measure} + - {column: L, row: 5801, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5806 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5806, expected_value: E12000004, label: geography} + - {column: D, row: 5806, expected_value: Females, label: sex} + - {column: E, row: 5806, expected_value: Self-employed, label: employment type} + - {column: J, row: 5806, expected_value: Value, label: measure} + - {column: L, row: 5807, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5808 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5808, expected_value: E12000004, label: geography} + - {column: D, row: 5808, expected_value: Females, label: sex} + - {column: E, row: 5808, expected_value: Self-employed, label: employment type} + - {column: J, row: 5808, expected_value: Value, label: measure} + - {column: L, row: 5809, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5810 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5810, expected_value: E12000004, label: geography} + - {column: D, row: 5810, expected_value: Females, label: sex} + - {column: E, row: 5810, expected_value: Self-employed, label: employment type} + - {column: J, row: 5810, expected_value: Value, label: measure} + - {column: L, row: 5811, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5812 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5812, expected_value: E12000004, label: geography} + - {column: D, row: 5812, expected_value: Females, label: sex} + - {column: E, row: 5812, expected_value: Self-employed, label: employment type} + - {column: J, row: 5812, expected_value: Value, label: measure} + - {column: L, row: 5813, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5816 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5816, expected_value: E12000004, label: geography} + - {column: D, row: 5816, expected_value: Females, label: sex} + - {column: E, row: 5816, expected_value: Self-employed, label: employment type} + - {column: J, row: 5816, expected_value: Value, label: measure} + - {column: L, row: 5817, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5818 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5818, expected_value: E12000004, label: geography} + - {column: D, row: 5818, expected_value: Females, label: sex} + - {column: E, row: 5818, expected_value: Self-employed, label: employment type} + - {column: J, row: 5818, expected_value: Value, label: measure} + - {column: L, row: 5819, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5822 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5822, expected_value: E12000004, label: geography} + - {column: D, row: 5822, expected_value: Females, label: sex} + - {column: E, row: 5822, expected_value: Self-employed, label: employment type} + - {column: J, row: 5822, expected_value: Value, label: measure} + - {column: L, row: 5823, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5824 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5824, expected_value: E12000004, label: geography} + - {column: D, row: 5824, expected_value: Females, label: sex} + - {column: E, row: 5824, expected_value: Self-employed, label: employment type} + - {column: J, row: 5824, expected_value: Value, label: measure} + - {column: L, row: 5825, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5826 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5826, expected_value: E12000004, label: geography} + - {column: D, row: 5826, expected_value: Females, label: sex} + - {column: E, row: 5826, expected_value: Self-employed, label: employment type} + - {column: J, row: 5826, expected_value: Value, label: measure} + - {column: L, row: 5827, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5828 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5828, expected_value: E12000004, label: geography} + - {column: D, row: 5828, expected_value: Females, label: sex} + - {column: E, row: 5828, expected_value: Self-employed, label: employment type} + - {column: J, row: 5828, expected_value: Value, label: measure} + - {column: L, row: 5829, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5832 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5832, expected_value: E12000004, label: geography} + - {column: D, row: 5832, expected_value: Females, label: sex} + - {column: E, row: 5832, expected_value: Self-employed, label: employment type} + - {column: J, row: 5832, expected_value: Value, label: measure} + - {column: L, row: 5833, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5763 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5763, expected_value: E12000004, label: geography} + - {column: D, row: 5763, expected_value: Females, label: sex} + - {column: E, row: 5763, expected_value: Self-employed, label: employment type} + - {column: J, row: 5763, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5765 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5765, expected_value: E12000004, label: geography} + - {column: D, row: 5765, expected_value: Females, label: sex} + - {column: E, row: 5765, expected_value: Self-employed, label: employment type} + - {column: J, row: 5765, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5767 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5767, expected_value: E12000004, label: geography} + - {column: D, row: 5767, expected_value: Females, label: sex} + - {column: E, row: 5767, expected_value: Self-employed, label: employment type} + - {column: J, row: 5767, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5769 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5769, expected_value: E12000004, label: geography} + - {column: D, row: 5769, expected_value: Females, label: sex} + - {column: E, row: 5769, expected_value: Self-employed, label: employment type} + - {column: J, row: 5769, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5771 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5771, expected_value: E12000004, label: geography} + - {column: D, row: 5771, expected_value: Females, label: sex} + - {column: E, row: 5771, expected_value: Self-employed, label: employment type} + - {column: J, row: 5771, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5775 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5775, expected_value: E12000004, label: geography} + - {column: D, row: 5775, expected_value: Females, label: sex} + - {column: E, row: 5775, expected_value: Self-employed, label: employment type} + - {column: J, row: 5775, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5777 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5777, expected_value: E12000004, label: geography} + - {column: D, row: 5777, expected_value: Females, label: sex} + - {column: E, row: 5777, expected_value: Self-employed, label: employment type} + - {column: J, row: 5777, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5779 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5779, expected_value: E12000004, label: geography} + - {column: D, row: 5779, expected_value: Females, label: sex} + - {column: E, row: 5779, expected_value: Self-employed, label: employment type} + - {column: J, row: 5779, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5781 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5781, expected_value: E12000004, label: geography} + - {column: D, row: 5781, expected_value: Females, label: sex} + - {column: E, row: 5781, expected_value: Self-employed, label: employment type} + - {column: J, row: 5781, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5789 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5789, expected_value: E12000004, label: geography} + - {column: D, row: 5789, expected_value: Females, label: sex} + - {column: E, row: 5789, expected_value: Self-employed, label: employment type} + - {column: J, row: 5789, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5791 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5791, expected_value: E12000004, label: geography} + - {column: D, row: 5791, expected_value: Females, label: sex} + - {column: E, row: 5791, expected_value: Self-employed, label: employment type} + - {column: J, row: 5791, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5793 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5793, expected_value: E12000004, label: geography} + - {column: D, row: 5793, expected_value: Females, label: sex} + - {column: E, row: 5793, expected_value: Self-employed, label: employment type} + - {column: J, row: 5793, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5795 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5795, expected_value: E12000004, label: geography} + - {column: D, row: 5795, expected_value: Females, label: sex} + - {column: E, row: 5795, expected_value: Self-employed, label: employment type} + - {column: J, row: 5795, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5799 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5799, expected_value: E12000004, label: geography} + - {column: D, row: 5799, expected_value: Females, label: sex} + - {column: E, row: 5799, expected_value: Self-employed, label: employment type} + - {column: J, row: 5799, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5807 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5807, expected_value: E12000004, label: geography} + - {column: D, row: 5807, expected_value: Females, label: sex} + - {column: E, row: 5807, expected_value: Self-employed, label: employment type} + - {column: J, row: 5807, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5809 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5809, expected_value: E12000004, label: geography} + - {column: D, row: 5809, expected_value: Females, label: sex} + - {column: E, row: 5809, expected_value: Self-employed, label: employment type} + - {column: J, row: 5809, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5811 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5811, expected_value: E12000004, label: geography} + - {column: D, row: 5811, expected_value: Females, label: sex} + - {column: E, row: 5811, expected_value: Self-employed, label: employment type} + - {column: J, row: 5811, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5813 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5813, expected_value: E12000004, label: geography} + - {column: D, row: 5813, expected_value: Females, label: sex} + - {column: E, row: 5813, expected_value: Self-employed, label: employment type} + - {column: J, row: 5813, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5823 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5823, expected_value: E12000004, label: geography} + - {column: D, row: 5823, expected_value: Females, label: sex} + - {column: E, row: 5823, expected_value: Self-employed, label: employment type} + - {column: J, row: 5823, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5829 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5829, expected_value: E12000004, label: geography} + - {column: D, row: 5829, expected_value: Females, label: sex} + - {column: E, row: 5829, expected_value: Self-employed, label: employment type} + - {column: J, row: 5829, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5833 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5833, expected_value: E12000004, label: geography} + - {column: D, row: 5833, expected_value: Females, label: sex} + - {column: E, row: 5833, expected_value: Self-employed, label: employment type} + - {column: J, row: 5833, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5834 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5834, expected_value: E12000005, label: geography} + - {column: D, row: 5834, expected_value: All persons, label: sex} + - {column: E, row: 5834, expected_value: Total, label: employment type} + - {column: J, row: 5834, expected_value: Value, label: measure} + - {column: L, row: 5835, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5836 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5836, expected_value: E12000005, label: geography} + - {column: D, row: 5836, expected_value: All persons, label: sex} + - {column: E, row: 5836, expected_value: Total, label: employment type} + - {column: J, row: 5836, expected_value: Value, label: measure} + - {column: L, row: 5837, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5838 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5838, expected_value: E12000005, label: geography} + - {column: D, row: 5838, expected_value: All persons, label: sex} + - {column: E, row: 5838, expected_value: Total, label: employment type} + - {column: J, row: 5838, expected_value: Value, label: measure} + - {column: L, row: 5839, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5840 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5840, expected_value: E12000005, label: geography} + - {column: D, row: 5840, expected_value: All persons, label: sex} + - {column: E, row: 5840, expected_value: Total, label: employment type} + - {column: J, row: 5840, expected_value: Value, label: measure} + - {column: L, row: 5841, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5842 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5842, expected_value: E12000005, label: geography} + - {column: D, row: 5842, expected_value: All persons, label: sex} + - {column: E, row: 5842, expected_value: Total, label: employment type} + - {column: J, row: 5842, expected_value: Value, label: measure} + - {column: L, row: 5843, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5844 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5844, expected_value: E12000005, label: geography} + - {column: D, row: 5844, expected_value: All persons, label: sex} + - {column: E, row: 5844, expected_value: Total, label: employment type} + - {column: J, row: 5844, expected_value: Value, label: measure} + - {column: L, row: 5845, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5846 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5846, expected_value: E12000005, label: geography} + - {column: D, row: 5846, expected_value: All persons, label: sex} + - {column: E, row: 5846, expected_value: Total, label: employment type} + - {column: J, row: 5846, expected_value: Value, label: measure} + - {column: L, row: 5847, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5848 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5848, expected_value: E12000005, label: geography} + - {column: D, row: 5848, expected_value: All persons, label: sex} + - {column: E, row: 5848, expected_value: Total, label: employment type} + - {column: J, row: 5848, expected_value: Value, label: measure} + - {column: L, row: 5849, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5850 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5850, expected_value: E12000005, label: geography} + - {column: D, row: 5850, expected_value: All persons, label: sex} + - {column: E, row: 5850, expected_value: Total, label: employment type} + - {column: J, row: 5850, expected_value: Value, label: measure} + - {column: L, row: 5851, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5852 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5852, expected_value: E12000005, label: geography} + - {column: D, row: 5852, expected_value: All persons, label: sex} + - {column: E, row: 5852, expected_value: Total, label: employment type} + - {column: J, row: 5852, expected_value: Value, label: measure} + - {column: L, row: 5853, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5854 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5854, expected_value: E12000005, label: geography} + - {column: D, row: 5854, expected_value: All persons, label: sex} + - {column: E, row: 5854, expected_value: Total, label: employment type} + - {column: J, row: 5854, expected_value: Value, label: measure} + - {column: L, row: 5855, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5856 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5856, expected_value: E12000005, label: geography} + - {column: D, row: 5856, expected_value: All persons, label: sex} + - {column: E, row: 5856, expected_value: Total, label: employment type} + - {column: J, row: 5856, expected_value: Value, label: measure} + - {column: L, row: 5857, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5858 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5858, expected_value: E12000005, label: geography} + - {column: D, row: 5858, expected_value: All persons, label: sex} + - {column: E, row: 5858, expected_value: Total, label: employment type} + - {column: J, row: 5858, expected_value: Value, label: measure} + - {column: L, row: 5859, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5860 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5860, expected_value: E12000005, label: geography} + - {column: D, row: 5860, expected_value: All persons, label: sex} + - {column: E, row: 5860, expected_value: Total, label: employment type} + - {column: J, row: 5860, expected_value: Value, label: measure} + - {column: L, row: 5861, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5862 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5862, expected_value: E12000005, label: geography} + - {column: D, row: 5862, expected_value: All persons, label: sex} + - {column: E, row: 5862, expected_value: Total, label: employment type} + - {column: J, row: 5862, expected_value: Value, label: measure} + - {column: L, row: 5863, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5864 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5864, expected_value: E12000005, label: geography} + - {column: D, row: 5864, expected_value: All persons, label: sex} + - {column: E, row: 5864, expected_value: Total, label: employment type} + - {column: J, row: 5864, expected_value: Value, label: measure} + - {column: L, row: 5865, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5866 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5866, expected_value: E12000005, label: geography} + - {column: D, row: 5866, expected_value: All persons, label: sex} + - {column: E, row: 5866, expected_value: Total, label: employment type} + - {column: J, row: 5866, expected_value: Value, label: measure} + - {column: L, row: 5867, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5868 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5868, expected_value: E12000005, label: geography} + - {column: D, row: 5868, expected_value: All persons, label: sex} + - {column: E, row: 5868, expected_value: Total, label: employment type} + - {column: J, row: 5868, expected_value: Value, label: measure} + - {column: L, row: 5869, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5870 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5870, expected_value: E12000005, label: geography} + - {column: D, row: 5870, expected_value: All persons, label: sex} + - {column: E, row: 5870, expected_value: Total, label: employment type} + - {column: J, row: 5870, expected_value: Value, label: measure} + - {column: L, row: 5871, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5872 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5872, expected_value: E12000005, label: geography} + - {column: D, row: 5872, expected_value: All persons, label: sex} + - {column: E, row: 5872, expected_value: Total, label: employment type} + - {column: J, row: 5872, expected_value: Value, label: measure} + - {column: L, row: 5873, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5874 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5874, expected_value: E12000005, label: geography} + - {column: D, row: 5874, expected_value: All persons, label: sex} + - {column: E, row: 5874, expected_value: Total, label: employment type} + - {column: J, row: 5874, expected_value: Value, label: measure} + - {column: L, row: 5875, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5876 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5876, expected_value: E12000005, label: geography} + - {column: D, row: 5876, expected_value: All persons, label: sex} + - {column: E, row: 5876, expected_value: Total, label: employment type} + - {column: J, row: 5876, expected_value: Value, label: measure} + - {column: L, row: 5877, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5878 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5878, expected_value: E12000005, label: geography} + - {column: D, row: 5878, expected_value: All persons, label: sex} + - {column: E, row: 5878, expected_value: Total, label: employment type} + - {column: J, row: 5878, expected_value: Value, label: measure} + - {column: L, row: 5879, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5880 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5880, expected_value: E12000005, label: geography} + - {column: D, row: 5880, expected_value: All persons, label: sex} + - {column: E, row: 5880, expected_value: Total, label: employment type} + - {column: J, row: 5880, expected_value: Value, label: measure} + - {column: L, row: 5881, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5882 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5882, expected_value: E12000005, label: geography} + - {column: D, row: 5882, expected_value: All persons, label: sex} + - {column: E, row: 5882, expected_value: Total, label: employment type} + - {column: J, row: 5882, expected_value: Value, label: measure} + - {column: L, row: 5883, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5884 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5884, expected_value: E12000005, label: geography} + - {column: D, row: 5884, expected_value: All persons, label: sex} + - {column: E, row: 5884, expected_value: Total, label: employment type} + - {column: J, row: 5884, expected_value: Value, label: measure} + - {column: L, row: 5885, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5886 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5886, expected_value: E12000005, label: geography} + - {column: D, row: 5886, expected_value: All persons, label: sex} + - {column: E, row: 5886, expected_value: Total, label: employment type} + - {column: J, row: 5886, expected_value: Value, label: measure} + - {column: L, row: 5887, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5888 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5888, expected_value: E12000005, label: geography} + - {column: D, row: 5888, expected_value: All persons, label: sex} + - {column: E, row: 5888, expected_value: Total, label: employment type} + - {column: J, row: 5888, expected_value: Value, label: measure} + - {column: L, row: 5889, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5890 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5890, expected_value: E12000005, label: geography} + - {column: D, row: 5890, expected_value: All persons, label: sex} + - {column: E, row: 5890, expected_value: Total, label: employment type} + - {column: J, row: 5890, expected_value: Value, label: measure} + - {column: L, row: 5891, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5892 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5892, expected_value: E12000005, label: geography} + - {column: D, row: 5892, expected_value: All persons, label: sex} + - {column: E, row: 5892, expected_value: Total, label: employment type} + - {column: J, row: 5892, expected_value: Value, label: measure} + - {column: L, row: 5893, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5894 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5894, expected_value: E12000005, label: geography} + - {column: D, row: 5894, expected_value: All persons, label: sex} + - {column: E, row: 5894, expected_value: Total, label: employment type} + - {column: J, row: 5894, expected_value: Value, label: measure} + - {column: L, row: 5895, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5896 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5896, expected_value: E12000005, label: geography} + - {column: D, row: 5896, expected_value: All persons, label: sex} + - {column: E, row: 5896, expected_value: Total, label: employment type} + - {column: J, row: 5896, expected_value: Value, label: measure} + - {column: L, row: 5897, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5898 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5898, expected_value: E12000005, label: geography} + - {column: D, row: 5898, expected_value: All persons, label: sex} + - {column: E, row: 5898, expected_value: Total, label: employment type} + - {column: J, row: 5898, expected_value: Value, label: measure} + - {column: L, row: 5899, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5900 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5900, expected_value: E12000005, label: geography} + - {column: D, row: 5900, expected_value: All persons, label: sex} + - {column: E, row: 5900, expected_value: Total, label: employment type} + - {column: J, row: 5900, expected_value: Value, label: measure} + - {column: L, row: 5901, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5902 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5902, expected_value: E12000005, label: geography} + - {column: D, row: 5902, expected_value: All persons, label: sex} + - {column: E, row: 5902, expected_value: Total, label: employment type} + - {column: J, row: 5902, expected_value: Value, label: measure} + - {column: L, row: 5903, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5904 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5904, expected_value: E12000005, label: geography} + - {column: D, row: 5904, expected_value: All persons, label: sex} + - {column: E, row: 5904, expected_value: Total, label: employment type} + - {column: J, row: 5904, expected_value: Value, label: measure} + - {column: L, row: 5905, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5835 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5835, expected_value: E12000005, label: geography} + - {column: D, row: 5835, expected_value: All persons, label: sex} + - {column: E, row: 5835, expected_value: Total, label: employment type} + - {column: J, row: 5835, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5837 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5837, expected_value: E12000005, label: geography} + - {column: D, row: 5837, expected_value: All persons, label: sex} + - {column: E, row: 5837, expected_value: Total, label: employment type} + - {column: J, row: 5837, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5839 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5839, expected_value: E12000005, label: geography} + - {column: D, row: 5839, expected_value: All persons, label: sex} + - {column: E, row: 5839, expected_value: Total, label: employment type} + - {column: J, row: 5839, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5841 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5841, expected_value: E12000005, label: geography} + - {column: D, row: 5841, expected_value: All persons, label: sex} + - {column: E, row: 5841, expected_value: Total, label: employment type} + - {column: J, row: 5841, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5843 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5843, expected_value: E12000005, label: geography} + - {column: D, row: 5843, expected_value: All persons, label: sex} + - {column: E, row: 5843, expected_value: Total, label: employment type} + - {column: J, row: 5843, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5845 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5845, expected_value: E12000005, label: geography} + - {column: D, row: 5845, expected_value: All persons, label: sex} + - {column: E, row: 5845, expected_value: Total, label: employment type} + - {column: J, row: 5845, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5847 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5847, expected_value: E12000005, label: geography} + - {column: D, row: 5847, expected_value: All persons, label: sex} + - {column: E, row: 5847, expected_value: Total, label: employment type} + - {column: J, row: 5847, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5849 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5849, expected_value: E12000005, label: geography} + - {column: D, row: 5849, expected_value: All persons, label: sex} + - {column: E, row: 5849, expected_value: Total, label: employment type} + - {column: J, row: 5849, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5851 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5851, expected_value: E12000005, label: geography} + - {column: D, row: 5851, expected_value: All persons, label: sex} + - {column: E, row: 5851, expected_value: Total, label: employment type} + - {column: J, row: 5851, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5853 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5853, expected_value: E12000005, label: geography} + - {column: D, row: 5853, expected_value: All persons, label: sex} + - {column: E, row: 5853, expected_value: Total, label: employment type} + - {column: J, row: 5853, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5855 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5855, expected_value: E12000005, label: geography} + - {column: D, row: 5855, expected_value: All persons, label: sex} + - {column: E, row: 5855, expected_value: Total, label: employment type} + - {column: J, row: 5855, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5857 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5857, expected_value: E12000005, label: geography} + - {column: D, row: 5857, expected_value: All persons, label: sex} + - {column: E, row: 5857, expected_value: Total, label: employment type} + - {column: J, row: 5857, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5859 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5859, expected_value: E12000005, label: geography} + - {column: D, row: 5859, expected_value: All persons, label: sex} + - {column: E, row: 5859, expected_value: Total, label: employment type} + - {column: J, row: 5859, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5861 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5861, expected_value: E12000005, label: geography} + - {column: D, row: 5861, expected_value: All persons, label: sex} + - {column: E, row: 5861, expected_value: Total, label: employment type} + - {column: J, row: 5861, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5863 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5863, expected_value: E12000005, label: geography} + - {column: D, row: 5863, expected_value: All persons, label: sex} + - {column: E, row: 5863, expected_value: Total, label: employment type} + - {column: J, row: 5863, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5865 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5865, expected_value: E12000005, label: geography} + - {column: D, row: 5865, expected_value: All persons, label: sex} + - {column: E, row: 5865, expected_value: Total, label: employment type} + - {column: J, row: 5865, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5867 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5867, expected_value: E12000005, label: geography} + - {column: D, row: 5867, expected_value: All persons, label: sex} + - {column: E, row: 5867, expected_value: Total, label: employment type} + - {column: J, row: 5867, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5869 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5869, expected_value: E12000005, label: geography} + - {column: D, row: 5869, expected_value: All persons, label: sex} + - {column: E, row: 5869, expected_value: Total, label: employment type} + - {column: J, row: 5869, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5871 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5871, expected_value: E12000005, label: geography} + - {column: D, row: 5871, expected_value: All persons, label: sex} + - {column: E, row: 5871, expected_value: Total, label: employment type} + - {column: J, row: 5871, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5873 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5873, expected_value: E12000005, label: geography} + - {column: D, row: 5873, expected_value: All persons, label: sex} + - {column: E, row: 5873, expected_value: Total, label: employment type} + - {column: J, row: 5873, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5875 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5875, expected_value: E12000005, label: geography} + - {column: D, row: 5875, expected_value: All persons, label: sex} + - {column: E, row: 5875, expected_value: Total, label: employment type} + - {column: J, row: 5875, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5877 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5877, expected_value: E12000005, label: geography} + - {column: D, row: 5877, expected_value: All persons, label: sex} + - {column: E, row: 5877, expected_value: Total, label: employment type} + - {column: J, row: 5877, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5879 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5879, expected_value: E12000005, label: geography} + - {column: D, row: 5879, expected_value: All persons, label: sex} + - {column: E, row: 5879, expected_value: Total, label: employment type} + - {column: J, row: 5879, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5881 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5881, expected_value: E12000005, label: geography} + - {column: D, row: 5881, expected_value: All persons, label: sex} + - {column: E, row: 5881, expected_value: Total, label: employment type} + - {column: J, row: 5881, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5883 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5883, expected_value: E12000005, label: geography} + - {column: D, row: 5883, expected_value: All persons, label: sex} + - {column: E, row: 5883, expected_value: Total, label: employment type} + - {column: J, row: 5883, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5885 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5885, expected_value: E12000005, label: geography} + - {column: D, row: 5885, expected_value: All persons, label: sex} + - {column: E, row: 5885, expected_value: Total, label: employment type} + - {column: J, row: 5885, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5889 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5889, expected_value: E12000005, label: geography} + - {column: D, row: 5889, expected_value: All persons, label: sex} + - {column: E, row: 5889, expected_value: Total, label: employment type} + - {column: J, row: 5889, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5891 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5891, expected_value: E12000005, label: geography} + - {column: D, row: 5891, expected_value: All persons, label: sex} + - {column: E, row: 5891, expected_value: Total, label: employment type} + - {column: J, row: 5891, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5893 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5893, expected_value: E12000005, label: geography} + - {column: D, row: 5893, expected_value: All persons, label: sex} + - {column: E, row: 5893, expected_value: Total, label: employment type} + - {column: J, row: 5893, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5895 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5895, expected_value: E12000005, label: geography} + - {column: D, row: 5895, expected_value: All persons, label: sex} + - {column: E, row: 5895, expected_value: Total, label: employment type} + - {column: J, row: 5895, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5897 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5897, expected_value: E12000005, label: geography} + - {column: D, row: 5897, expected_value: All persons, label: sex} + - {column: E, row: 5897, expected_value: Total, label: employment type} + - {column: J, row: 5897, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5899 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5899, expected_value: E12000005, label: geography} + - {column: D, row: 5899, expected_value: All persons, label: sex} + - {column: E, row: 5899, expected_value: Total, label: employment type} + - {column: J, row: 5899, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5901 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5901, expected_value: E12000005, label: geography} + - {column: D, row: 5901, expected_value: All persons, label: sex} + - {column: E, row: 5901, expected_value: Total, label: employment type} + - {column: J, row: 5901, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5903 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5903, expected_value: E12000005, label: geography} + - {column: D, row: 5903, expected_value: All persons, label: sex} + - {column: E, row: 5903, expected_value: Total, label: employment type} + - {column: J, row: 5903, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5905 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5905, expected_value: E12000005, label: geography} + - {column: D, row: 5905, expected_value: All persons, label: sex} + - {column: E, row: 5905, expected_value: Total, label: employment type} + - {column: J, row: 5905, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6050 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6050, expected_value: E12000005, label: geography} + - {column: D, row: 6050, expected_value: All persons, label: sex} + - {column: E, row: 6050, expected_value: Employee, label: employment type} + - {column: J, row: 6050, expected_value: Value, label: measure} + - {column: L, row: 6051, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6052 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6052, expected_value: E12000005, label: geography} + - {column: D, row: 6052, expected_value: All persons, label: sex} + - {column: E, row: 6052, expected_value: Employee, label: employment type} + - {column: J, row: 6052, expected_value: Value, label: measure} + - {column: L, row: 6053, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6054 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6054, expected_value: E12000005, label: geography} + - {column: D, row: 6054, expected_value: All persons, label: sex} + - {column: E, row: 6054, expected_value: Employee, label: employment type} + - {column: J, row: 6054, expected_value: Value, label: measure} + - {column: L, row: 6055, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6056 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6056, expected_value: E12000005, label: geography} + - {column: D, row: 6056, expected_value: All persons, label: sex} + - {column: E, row: 6056, expected_value: Employee, label: employment type} + - {column: J, row: 6056, expected_value: Value, label: measure} + - {column: L, row: 6057, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6058 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6058, expected_value: E12000005, label: geography} + - {column: D, row: 6058, expected_value: All persons, label: sex} + - {column: E, row: 6058, expected_value: Employee, label: employment type} + - {column: J, row: 6058, expected_value: Value, label: measure} + - {column: L, row: 6059, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6060 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6060, expected_value: E12000005, label: geography} + - {column: D, row: 6060, expected_value: All persons, label: sex} + - {column: E, row: 6060, expected_value: Employee, label: employment type} + - {column: J, row: 6060, expected_value: Value, label: measure} + - {column: L, row: 6061, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6062 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6062, expected_value: E12000005, label: geography} + - {column: D, row: 6062, expected_value: All persons, label: sex} + - {column: E, row: 6062, expected_value: Employee, label: employment type} + - {column: J, row: 6062, expected_value: Value, label: measure} + - {column: L, row: 6063, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6064 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6064, expected_value: E12000005, label: geography} + - {column: D, row: 6064, expected_value: All persons, label: sex} + - {column: E, row: 6064, expected_value: Employee, label: employment type} + - {column: J, row: 6064, expected_value: Value, label: measure} + - {column: L, row: 6065, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6066 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6066, expected_value: E12000005, label: geography} + - {column: D, row: 6066, expected_value: All persons, label: sex} + - {column: E, row: 6066, expected_value: Employee, label: employment type} + - {column: J, row: 6066, expected_value: Value, label: measure} + - {column: L, row: 6067, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6068 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6068, expected_value: E12000005, label: geography} + - {column: D, row: 6068, expected_value: All persons, label: sex} + - {column: E, row: 6068, expected_value: Employee, label: employment type} + - {column: J, row: 6068, expected_value: Value, label: measure} + - {column: L, row: 6069, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6070 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6070, expected_value: E12000005, label: geography} + - {column: D, row: 6070, expected_value: All persons, label: sex} + - {column: E, row: 6070, expected_value: Employee, label: employment type} + - {column: J, row: 6070, expected_value: Value, label: measure} + - {column: L, row: 6071, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6072 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6072, expected_value: E12000005, label: geography} + - {column: D, row: 6072, expected_value: All persons, label: sex} + - {column: E, row: 6072, expected_value: Employee, label: employment type} + - {column: J, row: 6072, expected_value: Value, label: measure} + - {column: L, row: 6073, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6074 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6074, expected_value: E12000005, label: geography} + - {column: D, row: 6074, expected_value: All persons, label: sex} + - {column: E, row: 6074, expected_value: Employee, label: employment type} + - {column: J, row: 6074, expected_value: Value, label: measure} + - {column: L, row: 6075, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6076 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6076, expected_value: E12000005, label: geography} + - {column: D, row: 6076, expected_value: All persons, label: sex} + - {column: E, row: 6076, expected_value: Employee, label: employment type} + - {column: J, row: 6076, expected_value: Value, label: measure} + - {column: L, row: 6077, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6078 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6078, expected_value: E12000005, label: geography} + - {column: D, row: 6078, expected_value: All persons, label: sex} + - {column: E, row: 6078, expected_value: Employee, label: employment type} + - {column: J, row: 6078, expected_value: Value, label: measure} + - {column: L, row: 6079, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6080 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6080, expected_value: E12000005, label: geography} + - {column: D, row: 6080, expected_value: All persons, label: sex} + - {column: E, row: 6080, expected_value: Employee, label: employment type} + - {column: J, row: 6080, expected_value: Value, label: measure} + - {column: L, row: 6081, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6082 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6082, expected_value: E12000005, label: geography} + - {column: D, row: 6082, expected_value: All persons, label: sex} + - {column: E, row: 6082, expected_value: Employee, label: employment type} + - {column: J, row: 6082, expected_value: Value, label: measure} + - {column: L, row: 6083, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6084 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6084, expected_value: E12000005, label: geography} + - {column: D, row: 6084, expected_value: All persons, label: sex} + - {column: E, row: 6084, expected_value: Employee, label: employment type} + - {column: J, row: 6084, expected_value: Value, label: measure} + - {column: L, row: 6085, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6086 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6086, expected_value: E12000005, label: geography} + - {column: D, row: 6086, expected_value: All persons, label: sex} + - {column: E, row: 6086, expected_value: Employee, label: employment type} + - {column: J, row: 6086, expected_value: Value, label: measure} + - {column: L, row: 6087, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6088 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6088, expected_value: E12000005, label: geography} + - {column: D, row: 6088, expected_value: All persons, label: sex} + - {column: E, row: 6088, expected_value: Employee, label: employment type} + - {column: J, row: 6088, expected_value: Value, label: measure} + - {column: L, row: 6089, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6090 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6090, expected_value: E12000005, label: geography} + - {column: D, row: 6090, expected_value: All persons, label: sex} + - {column: E, row: 6090, expected_value: Employee, label: employment type} + - {column: J, row: 6090, expected_value: Value, label: measure} + - {column: L, row: 6091, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6092 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6092, expected_value: E12000005, label: geography} + - {column: D, row: 6092, expected_value: All persons, label: sex} + - {column: E, row: 6092, expected_value: Employee, label: employment type} + - {column: J, row: 6092, expected_value: Value, label: measure} + - {column: L, row: 6093, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6094 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6094, expected_value: E12000005, label: geography} + - {column: D, row: 6094, expected_value: All persons, label: sex} + - {column: E, row: 6094, expected_value: Employee, label: employment type} + - {column: J, row: 6094, expected_value: Value, label: measure} + - {column: L, row: 6095, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6096 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6096, expected_value: E12000005, label: geography} + - {column: D, row: 6096, expected_value: All persons, label: sex} + - {column: E, row: 6096, expected_value: Employee, label: employment type} + - {column: J, row: 6096, expected_value: Value, label: measure} + - {column: L, row: 6097, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6098 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6098, expected_value: E12000005, label: geography} + - {column: D, row: 6098, expected_value: All persons, label: sex} + - {column: E, row: 6098, expected_value: Employee, label: employment type} + - {column: J, row: 6098, expected_value: Value, label: measure} + - {column: L, row: 6099, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6100 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6100, expected_value: E12000005, label: geography} + - {column: D, row: 6100, expected_value: All persons, label: sex} + - {column: E, row: 6100, expected_value: Employee, label: employment type} + - {column: J, row: 6100, expected_value: Value, label: measure} + - {column: L, row: 6101, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6102 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6102, expected_value: E12000005, label: geography} + - {column: D, row: 6102, expected_value: All persons, label: sex} + - {column: E, row: 6102, expected_value: Employee, label: employment type} + - {column: J, row: 6102, expected_value: Value, label: measure} + - {column: L, row: 6103, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6104 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6104, expected_value: E12000005, label: geography} + - {column: D, row: 6104, expected_value: All persons, label: sex} + - {column: E, row: 6104, expected_value: Employee, label: employment type} + - {column: J, row: 6104, expected_value: Value, label: measure} + - {column: L, row: 6105, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6106 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6106, expected_value: E12000005, label: geography} + - {column: D, row: 6106, expected_value: All persons, label: sex} + - {column: E, row: 6106, expected_value: Employee, label: employment type} + - {column: J, row: 6106, expected_value: Value, label: measure} + - {column: L, row: 6107, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6108 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6108, expected_value: E12000005, label: geography} + - {column: D, row: 6108, expected_value: All persons, label: sex} + - {column: E, row: 6108, expected_value: Employee, label: employment type} + - {column: J, row: 6108, expected_value: Value, label: measure} + - {column: L, row: 6109, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6110 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6110, expected_value: E12000005, label: geography} + - {column: D, row: 6110, expected_value: All persons, label: sex} + - {column: E, row: 6110, expected_value: Employee, label: employment type} + - {column: J, row: 6110, expected_value: Value, label: measure} + - {column: L, row: 6111, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6112 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6112, expected_value: E12000005, label: geography} + - {column: D, row: 6112, expected_value: All persons, label: sex} + - {column: E, row: 6112, expected_value: Employee, label: employment type} + - {column: J, row: 6112, expected_value: Value, label: measure} + - {column: L, row: 6113, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6114 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6114, expected_value: E12000005, label: geography} + - {column: D, row: 6114, expected_value: All persons, label: sex} + - {column: E, row: 6114, expected_value: Employee, label: employment type} + - {column: J, row: 6114, expected_value: Value, label: measure} + - {column: L, row: 6115, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6116 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6116, expected_value: E12000005, label: geography} + - {column: D, row: 6116, expected_value: All persons, label: sex} + - {column: E, row: 6116, expected_value: Employee, label: employment type} + - {column: J, row: 6116, expected_value: Value, label: measure} + - {column: L, row: 6117, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6118 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6118, expected_value: E12000005, label: geography} + - {column: D, row: 6118, expected_value: All persons, label: sex} + - {column: E, row: 6118, expected_value: Employee, label: employment type} + - {column: J, row: 6118, expected_value: Value, label: measure} + - {column: L, row: 6119, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6120 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6120, expected_value: E12000005, label: geography} + - {column: D, row: 6120, expected_value: All persons, label: sex} + - {column: E, row: 6120, expected_value: Employee, label: employment type} + - {column: J, row: 6120, expected_value: Value, label: measure} + - {column: L, row: 6121, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6051 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6051, expected_value: E12000005, label: geography} + - {column: D, row: 6051, expected_value: All persons, label: sex} + - {column: E, row: 6051, expected_value: Employee, label: employment type} + - {column: J, row: 6051, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6053 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6053, expected_value: E12000005, label: geography} + - {column: D, row: 6053, expected_value: All persons, label: sex} + - {column: E, row: 6053, expected_value: Employee, label: employment type} + - {column: J, row: 6053, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6055 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6055, expected_value: E12000005, label: geography} + - {column: D, row: 6055, expected_value: All persons, label: sex} + - {column: E, row: 6055, expected_value: Employee, label: employment type} + - {column: J, row: 6055, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6057 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6057, expected_value: E12000005, label: geography} + - {column: D, row: 6057, expected_value: All persons, label: sex} + - {column: E, row: 6057, expected_value: Employee, label: employment type} + - {column: J, row: 6057, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6059 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6059, expected_value: E12000005, label: geography} + - {column: D, row: 6059, expected_value: All persons, label: sex} + - {column: E, row: 6059, expected_value: Employee, label: employment type} + - {column: J, row: 6059, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6061 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6061, expected_value: E12000005, label: geography} + - {column: D, row: 6061, expected_value: All persons, label: sex} + - {column: E, row: 6061, expected_value: Employee, label: employment type} + - {column: J, row: 6061, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6063 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6063, expected_value: E12000005, label: geography} + - {column: D, row: 6063, expected_value: All persons, label: sex} + - {column: E, row: 6063, expected_value: Employee, label: employment type} + - {column: J, row: 6063, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6065 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6065, expected_value: E12000005, label: geography} + - {column: D, row: 6065, expected_value: All persons, label: sex} + - {column: E, row: 6065, expected_value: Employee, label: employment type} + - {column: J, row: 6065, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6067 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6067, expected_value: E12000005, label: geography} + - {column: D, row: 6067, expected_value: All persons, label: sex} + - {column: E, row: 6067, expected_value: Employee, label: employment type} + - {column: J, row: 6067, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6069 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6069, expected_value: E12000005, label: geography} + - {column: D, row: 6069, expected_value: All persons, label: sex} + - {column: E, row: 6069, expected_value: Employee, label: employment type} + - {column: J, row: 6069, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6071 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6071, expected_value: E12000005, label: geography} + - {column: D, row: 6071, expected_value: All persons, label: sex} + - {column: E, row: 6071, expected_value: Employee, label: employment type} + - {column: J, row: 6071, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6073 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6073, expected_value: E12000005, label: geography} + - {column: D, row: 6073, expected_value: All persons, label: sex} + - {column: E, row: 6073, expected_value: Employee, label: employment type} + - {column: J, row: 6073, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6075 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6075, expected_value: E12000005, label: geography} + - {column: D, row: 6075, expected_value: All persons, label: sex} + - {column: E, row: 6075, expected_value: Employee, label: employment type} + - {column: J, row: 6075, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6077 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6077, expected_value: E12000005, label: geography} + - {column: D, row: 6077, expected_value: All persons, label: sex} + - {column: E, row: 6077, expected_value: Employee, label: employment type} + - {column: J, row: 6077, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6079 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6079, expected_value: E12000005, label: geography} + - {column: D, row: 6079, expected_value: All persons, label: sex} + - {column: E, row: 6079, expected_value: Employee, label: employment type} + - {column: J, row: 6079, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6081 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6081, expected_value: E12000005, label: geography} + - {column: D, row: 6081, expected_value: All persons, label: sex} + - {column: E, row: 6081, expected_value: Employee, label: employment type} + - {column: J, row: 6081, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6083 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6083, expected_value: E12000005, label: geography} + - {column: D, row: 6083, expected_value: All persons, label: sex} + - {column: E, row: 6083, expected_value: Employee, label: employment type} + - {column: J, row: 6083, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6085 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6085, expected_value: E12000005, label: geography} + - {column: D, row: 6085, expected_value: All persons, label: sex} + - {column: E, row: 6085, expected_value: Employee, label: employment type} + - {column: J, row: 6085, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6087 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6087, expected_value: E12000005, label: geography} + - {column: D, row: 6087, expected_value: All persons, label: sex} + - {column: E, row: 6087, expected_value: Employee, label: employment type} + - {column: J, row: 6087, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6089 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6089, expected_value: E12000005, label: geography} + - {column: D, row: 6089, expected_value: All persons, label: sex} + - {column: E, row: 6089, expected_value: Employee, label: employment type} + - {column: J, row: 6089, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6091 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6091, expected_value: E12000005, label: geography} + - {column: D, row: 6091, expected_value: All persons, label: sex} + - {column: E, row: 6091, expected_value: Employee, label: employment type} + - {column: J, row: 6091, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6093 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6093, expected_value: E12000005, label: geography} + - {column: D, row: 6093, expected_value: All persons, label: sex} + - {column: E, row: 6093, expected_value: Employee, label: employment type} + - {column: J, row: 6093, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6095 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6095, expected_value: E12000005, label: geography} + - {column: D, row: 6095, expected_value: All persons, label: sex} + - {column: E, row: 6095, expected_value: Employee, label: employment type} + - {column: J, row: 6095, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6097 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6097, expected_value: E12000005, label: geography} + - {column: D, row: 6097, expected_value: All persons, label: sex} + - {column: E, row: 6097, expected_value: Employee, label: employment type} + - {column: J, row: 6097, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6099 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6099, expected_value: E12000005, label: geography} + - {column: D, row: 6099, expected_value: All persons, label: sex} + - {column: E, row: 6099, expected_value: Employee, label: employment type} + - {column: J, row: 6099, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6101 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6101, expected_value: E12000005, label: geography} + - {column: D, row: 6101, expected_value: All persons, label: sex} + - {column: E, row: 6101, expected_value: Employee, label: employment type} + - {column: J, row: 6101, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6105 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6105, expected_value: E12000005, label: geography} + - {column: D, row: 6105, expected_value: All persons, label: sex} + - {column: E, row: 6105, expected_value: Employee, label: employment type} + - {column: J, row: 6105, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6107 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6107, expected_value: E12000005, label: geography} + - {column: D, row: 6107, expected_value: All persons, label: sex} + - {column: E, row: 6107, expected_value: Employee, label: employment type} + - {column: J, row: 6107, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6109 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6109, expected_value: E12000005, label: geography} + - {column: D, row: 6109, expected_value: All persons, label: sex} + - {column: E, row: 6109, expected_value: Employee, label: employment type} + - {column: J, row: 6109, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6111 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6111, expected_value: E12000005, label: geography} + - {column: D, row: 6111, expected_value: All persons, label: sex} + - {column: E, row: 6111, expected_value: Employee, label: employment type} + - {column: J, row: 6111, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6113 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6113, expected_value: E12000005, label: geography} + - {column: D, row: 6113, expected_value: All persons, label: sex} + - {column: E, row: 6113, expected_value: Employee, label: employment type} + - {column: J, row: 6113, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6115 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6115, expected_value: E12000005, label: geography} + - {column: D, row: 6115, expected_value: All persons, label: sex} + - {column: E, row: 6115, expected_value: Employee, label: employment type} + - {column: J, row: 6115, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6117 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6117, expected_value: E12000005, label: geography} + - {column: D, row: 6117, expected_value: All persons, label: sex} + - {column: E, row: 6117, expected_value: Employee, label: employment type} + - {column: J, row: 6117, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6119 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6119, expected_value: E12000005, label: geography} + - {column: D, row: 6119, expected_value: All persons, label: sex} + - {column: E, row: 6119, expected_value: Employee, label: employment type} + - {column: J, row: 6119, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6121 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6121, expected_value: E12000005, label: geography} + - {column: D, row: 6121, expected_value: All persons, label: sex} + - {column: E, row: 6121, expected_value: Employee, label: employment type} + - {column: J, row: 6121, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6266 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6266, expected_value: E12000005, label: geography} + - {column: D, row: 6266, expected_value: All persons, label: sex} + - {column: E, row: 6266, expected_value: Self-employed, label: employment type} + - {column: J, row: 6266, expected_value: Value, label: measure} + - {column: L, row: 6267, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6268 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6268, expected_value: E12000005, label: geography} + - {column: D, row: 6268, expected_value: All persons, label: sex} + - {column: E, row: 6268, expected_value: Self-employed, label: employment type} + - {column: J, row: 6268, expected_value: Value, label: measure} + - {column: L, row: 6269, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6270 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6270, expected_value: E12000005, label: geography} + - {column: D, row: 6270, expected_value: All persons, label: sex} + - {column: E, row: 6270, expected_value: Self-employed, label: employment type} + - {column: J, row: 6270, expected_value: Value, label: measure} + - {column: L, row: 6271, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6272 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6272, expected_value: E12000005, label: geography} + - {column: D, row: 6272, expected_value: All persons, label: sex} + - {column: E, row: 6272, expected_value: Self-employed, label: employment type} + - {column: J, row: 6272, expected_value: Value, label: measure} + - {column: L, row: 6273, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6274 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6274, expected_value: E12000005, label: geography} + - {column: D, row: 6274, expected_value: All persons, label: sex} + - {column: E, row: 6274, expected_value: Self-employed, label: employment type} + - {column: J, row: 6274, expected_value: Value, label: measure} + - {column: L, row: 6275, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6276 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6276, expected_value: E12000005, label: geography} + - {column: D, row: 6276, expected_value: All persons, label: sex} + - {column: E, row: 6276, expected_value: Self-employed, label: employment type} + - {column: J, row: 6276, expected_value: Value, label: measure} + - {column: L, row: 6277, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6278 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6278, expected_value: E12000005, label: geography} + - {column: D, row: 6278, expected_value: All persons, label: sex} + - {column: E, row: 6278, expected_value: Self-employed, label: employment type} + - {column: J, row: 6278, expected_value: Value, label: measure} + - {column: L, row: 6279, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6280 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6280, expected_value: E12000005, label: geography} + - {column: D, row: 6280, expected_value: All persons, label: sex} + - {column: E, row: 6280, expected_value: Self-employed, label: employment type} + - {column: J, row: 6280, expected_value: Value, label: measure} + - {column: L, row: 6281, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6282 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6282, expected_value: E12000005, label: geography} + - {column: D, row: 6282, expected_value: All persons, label: sex} + - {column: E, row: 6282, expected_value: Self-employed, label: employment type} + - {column: J, row: 6282, expected_value: Value, label: measure} + - {column: L, row: 6283, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6284 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6284, expected_value: E12000005, label: geography} + - {column: D, row: 6284, expected_value: All persons, label: sex} + - {column: E, row: 6284, expected_value: Self-employed, label: employment type} + - {column: J, row: 6284, expected_value: Value, label: measure} + - {column: L, row: 6285, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6288 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6288, expected_value: E12000005, label: geography} + - {column: D, row: 6288, expected_value: All persons, label: sex} + - {column: E, row: 6288, expected_value: Self-employed, label: employment type} + - {column: J, row: 6288, expected_value: Value, label: measure} + - {column: L, row: 6289, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6292 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6292, expected_value: E12000005, label: geography} + - {column: D, row: 6292, expected_value: All persons, label: sex} + - {column: E, row: 6292, expected_value: Self-employed, label: employment type} + - {column: J, row: 6292, expected_value: Value, label: measure} + - {column: L, row: 6293, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6294 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6294, expected_value: E12000005, label: geography} + - {column: D, row: 6294, expected_value: All persons, label: sex} + - {column: E, row: 6294, expected_value: Self-employed, label: employment type} + - {column: J, row: 6294, expected_value: Value, label: measure} + - {column: L, row: 6295, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6296 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6296, expected_value: E12000005, label: geography} + - {column: D, row: 6296, expected_value: All persons, label: sex} + - {column: E, row: 6296, expected_value: Self-employed, label: employment type} + - {column: J, row: 6296, expected_value: Value, label: measure} + - {column: L, row: 6297, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6298 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6298, expected_value: E12000005, label: geography} + - {column: D, row: 6298, expected_value: All persons, label: sex} + - {column: E, row: 6298, expected_value: Self-employed, label: employment type} + - {column: J, row: 6298, expected_value: Value, label: measure} + - {column: L, row: 6299, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6300 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6300, expected_value: E12000005, label: geography} + - {column: D, row: 6300, expected_value: All persons, label: sex} + - {column: E, row: 6300, expected_value: Self-employed, label: employment type} + - {column: J, row: 6300, expected_value: Value, label: measure} + - {column: L, row: 6301, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6302 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6302, expected_value: E12000005, label: geography} + - {column: D, row: 6302, expected_value: All persons, label: sex} + - {column: E, row: 6302, expected_value: Self-employed, label: employment type} + - {column: J, row: 6302, expected_value: Value, label: measure} + - {column: L, row: 6303, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6304 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6304, expected_value: E12000005, label: geography} + - {column: D, row: 6304, expected_value: All persons, label: sex} + - {column: E, row: 6304, expected_value: Self-employed, label: employment type} + - {column: J, row: 6304, expected_value: Value, label: measure} + - {column: L, row: 6305, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6306 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6306, expected_value: E12000005, label: geography} + - {column: D, row: 6306, expected_value: All persons, label: sex} + - {column: E, row: 6306, expected_value: Self-employed, label: employment type} + - {column: J, row: 6306, expected_value: Value, label: measure} + - {column: L, row: 6307, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6308 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6308, expected_value: E12000005, label: geography} + - {column: D, row: 6308, expected_value: All persons, label: sex} + - {column: E, row: 6308, expected_value: Self-employed, label: employment type} + - {column: J, row: 6308, expected_value: Value, label: measure} + - {column: L, row: 6309, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6310 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6310, expected_value: E12000005, label: geography} + - {column: D, row: 6310, expected_value: All persons, label: sex} + - {column: E, row: 6310, expected_value: Self-employed, label: employment type} + - {column: J, row: 6310, expected_value: Value, label: measure} + - {column: L, row: 6311, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6312 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6312, expected_value: E12000005, label: geography} + - {column: D, row: 6312, expected_value: All persons, label: sex} + - {column: E, row: 6312, expected_value: Self-employed, label: employment type} + - {column: J, row: 6312, expected_value: Value, label: measure} + - {column: L, row: 6313, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6314 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6314, expected_value: E12000005, label: geography} + - {column: D, row: 6314, expected_value: All persons, label: sex} + - {column: E, row: 6314, expected_value: Self-employed, label: employment type} + - {column: J, row: 6314, expected_value: Value, label: measure} + - {column: L, row: 6315, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6316 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6316, expected_value: E12000005, label: geography} + - {column: D, row: 6316, expected_value: All persons, label: sex} + - {column: E, row: 6316, expected_value: Self-employed, label: employment type} + - {column: J, row: 6316, expected_value: Value, label: measure} + - {column: L, row: 6317, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6320 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6320, expected_value: E12000005, label: geography} + - {column: D, row: 6320, expected_value: All persons, label: sex} + - {column: E, row: 6320, expected_value: Self-employed, label: employment type} + - {column: J, row: 6320, expected_value: Value, label: measure} + - {column: L, row: 6321, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6322 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6322, expected_value: E12000005, label: geography} + - {column: D, row: 6322, expected_value: All persons, label: sex} + - {column: E, row: 6322, expected_value: Self-employed, label: employment type} + - {column: J, row: 6322, expected_value: Value, label: measure} + - {column: L, row: 6323, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6326 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6326, expected_value: E12000005, label: geography} + - {column: D, row: 6326, expected_value: All persons, label: sex} + - {column: E, row: 6326, expected_value: Self-employed, label: employment type} + - {column: J, row: 6326, expected_value: Value, label: measure} + - {column: L, row: 6327, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6328 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6328, expected_value: E12000005, label: geography} + - {column: D, row: 6328, expected_value: All persons, label: sex} + - {column: E, row: 6328, expected_value: Self-employed, label: employment type} + - {column: J, row: 6328, expected_value: Value, label: measure} + - {column: L, row: 6329, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6330 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6330, expected_value: E12000005, label: geography} + - {column: D, row: 6330, expected_value: All persons, label: sex} + - {column: E, row: 6330, expected_value: Self-employed, label: employment type} + - {column: J, row: 6330, expected_value: Value, label: measure} + - {column: L, row: 6331, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6332 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6332, expected_value: E12000005, label: geography} + - {column: D, row: 6332, expected_value: All persons, label: sex} + - {column: E, row: 6332, expected_value: Self-employed, label: employment type} + - {column: J, row: 6332, expected_value: Value, label: measure} + - {column: L, row: 6333, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6334 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6334, expected_value: E12000005, label: geography} + - {column: D, row: 6334, expected_value: All persons, label: sex} + - {column: E, row: 6334, expected_value: Self-employed, label: employment type} + - {column: J, row: 6334, expected_value: Value, label: measure} + - {column: L, row: 6335, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6336 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6336, expected_value: E12000005, label: geography} + - {column: D, row: 6336, expected_value: All persons, label: sex} + - {column: E, row: 6336, expected_value: Self-employed, label: employment type} + - {column: J, row: 6336, expected_value: Value, label: measure} + - {column: L, row: 6337, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6267 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6267, expected_value: E12000005, label: geography} + - {column: D, row: 6267, expected_value: All persons, label: sex} + - {column: E, row: 6267, expected_value: Self-employed, label: employment type} + - {column: J, row: 6267, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6269 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6269, expected_value: E12000005, label: geography} + - {column: D, row: 6269, expected_value: All persons, label: sex} + - {column: E, row: 6269, expected_value: Self-employed, label: employment type} + - {column: J, row: 6269, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6271 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6271, expected_value: E12000005, label: geography} + - {column: D, row: 6271, expected_value: All persons, label: sex} + - {column: E, row: 6271, expected_value: Self-employed, label: employment type} + - {column: J, row: 6271, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6273 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6273, expected_value: E12000005, label: geography} + - {column: D, row: 6273, expected_value: All persons, label: sex} + - {column: E, row: 6273, expected_value: Self-employed, label: employment type} + - {column: J, row: 6273, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6275 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6275, expected_value: E12000005, label: geography} + - {column: D, row: 6275, expected_value: All persons, label: sex} + - {column: E, row: 6275, expected_value: Self-employed, label: employment type} + - {column: J, row: 6275, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6277 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6277, expected_value: E12000005, label: geography} + - {column: D, row: 6277, expected_value: All persons, label: sex} + - {column: E, row: 6277, expected_value: Self-employed, label: employment type} + - {column: J, row: 6277, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6279 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6279, expected_value: E12000005, label: geography} + - {column: D, row: 6279, expected_value: All persons, label: sex} + - {column: E, row: 6279, expected_value: Self-employed, label: employment type} + - {column: J, row: 6279, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6281 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6281, expected_value: E12000005, label: geography} + - {column: D, row: 6281, expected_value: All persons, label: sex} + - {column: E, row: 6281, expected_value: Self-employed, label: employment type} + - {column: J, row: 6281, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6283 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6283, expected_value: E12000005, label: geography} + - {column: D, row: 6283, expected_value: All persons, label: sex} + - {column: E, row: 6283, expected_value: Self-employed, label: employment type} + - {column: J, row: 6283, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6285 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6285, expected_value: E12000005, label: geography} + - {column: D, row: 6285, expected_value: All persons, label: sex} + - {column: E, row: 6285, expected_value: Self-employed, label: employment type} + - {column: J, row: 6285, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6289 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6289, expected_value: E12000005, label: geography} + - {column: D, row: 6289, expected_value: All persons, label: sex} + - {column: E, row: 6289, expected_value: Self-employed, label: employment type} + - {column: J, row: 6289, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6293 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6293, expected_value: E12000005, label: geography} + - {column: D, row: 6293, expected_value: All persons, label: sex} + - {column: E, row: 6293, expected_value: Self-employed, label: employment type} + - {column: J, row: 6293, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6295 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6295, expected_value: E12000005, label: geography} + - {column: D, row: 6295, expected_value: All persons, label: sex} + - {column: E, row: 6295, expected_value: Self-employed, label: employment type} + - {column: J, row: 6295, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6297 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6297, expected_value: E12000005, label: geography} + - {column: D, row: 6297, expected_value: All persons, label: sex} + - {column: E, row: 6297, expected_value: Self-employed, label: employment type} + - {column: J, row: 6297, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6299 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6299, expected_value: E12000005, label: geography} + - {column: D, row: 6299, expected_value: All persons, label: sex} + - {column: E, row: 6299, expected_value: Self-employed, label: employment type} + - {column: J, row: 6299, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6303 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6303, expected_value: E12000005, label: geography} + - {column: D, row: 6303, expected_value: All persons, label: sex} + - {column: E, row: 6303, expected_value: Self-employed, label: employment type} + - {column: J, row: 6303, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6305 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6305, expected_value: E12000005, label: geography} + - {column: D, row: 6305, expected_value: All persons, label: sex} + - {column: E, row: 6305, expected_value: Self-employed, label: employment type} + - {column: J, row: 6305, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6307 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6307, expected_value: E12000005, label: geography} + - {column: D, row: 6307, expected_value: All persons, label: sex} + - {column: E, row: 6307, expected_value: Self-employed, label: employment type} + - {column: J, row: 6307, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6309 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6309, expected_value: E12000005, label: geography} + - {column: D, row: 6309, expected_value: All persons, label: sex} + - {column: E, row: 6309, expected_value: Self-employed, label: employment type} + - {column: J, row: 6309, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6311 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6311, expected_value: E12000005, label: geography} + - {column: D, row: 6311, expected_value: All persons, label: sex} + - {column: E, row: 6311, expected_value: Self-employed, label: employment type} + - {column: J, row: 6311, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6313 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6313, expected_value: E12000005, label: geography} + - {column: D, row: 6313, expected_value: All persons, label: sex} + - {column: E, row: 6313, expected_value: Self-employed, label: employment type} + - {column: J, row: 6313, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6315 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6315, expected_value: E12000005, label: geography} + - {column: D, row: 6315, expected_value: All persons, label: sex} + - {column: E, row: 6315, expected_value: Self-employed, label: employment type} + - {column: J, row: 6315, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6317 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6317, expected_value: E12000005, label: geography} + - {column: D, row: 6317, expected_value: All persons, label: sex} + - {column: E, row: 6317, expected_value: Self-employed, label: employment type} + - {column: J, row: 6317, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6321 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6321, expected_value: E12000005, label: geography} + - {column: D, row: 6321, expected_value: All persons, label: sex} + - {column: E, row: 6321, expected_value: Self-employed, label: employment type} + - {column: J, row: 6321, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6323 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6323, expected_value: E12000005, label: geography} + - {column: D, row: 6323, expected_value: All persons, label: sex} + - {column: E, row: 6323, expected_value: Self-employed, label: employment type} + - {column: J, row: 6323, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6327 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6327, expected_value: E12000005, label: geography} + - {column: D, row: 6327, expected_value: All persons, label: sex} + - {column: E, row: 6327, expected_value: Self-employed, label: employment type} + - {column: J, row: 6327, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6329 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6329, expected_value: E12000005, label: geography} + - {column: D, row: 6329, expected_value: All persons, label: sex} + - {column: E, row: 6329, expected_value: Self-employed, label: employment type} + - {column: J, row: 6329, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6331 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6331, expected_value: E12000005, label: geography} + - {column: D, row: 6331, expected_value: All persons, label: sex} + - {column: E, row: 6331, expected_value: Self-employed, label: employment type} + - {column: J, row: 6331, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6333 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6333, expected_value: E12000005, label: geography} + - {column: D, row: 6333, expected_value: All persons, label: sex} + - {column: E, row: 6333, expected_value: Self-employed, label: employment type} + - {column: J, row: 6333, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6335 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6335, expected_value: E12000005, label: geography} + - {column: D, row: 6335, expected_value: All persons, label: sex} + - {column: E, row: 6335, expected_value: Self-employed, label: employment type} + - {column: J, row: 6335, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6337 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6337, expected_value: E12000005, label: geography} + - {column: D, row: 6337, expected_value: All persons, label: sex} + - {column: E, row: 6337, expected_value: Self-employed, label: employment type} + - {column: J, row: 6337, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5906 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5906, expected_value: E12000005, label: geography} + - {column: D, row: 5906, expected_value: Males, label: sex} + - {column: E, row: 5906, expected_value: Total, label: employment type} + - {column: J, row: 5906, expected_value: Value, label: measure} + - {column: L, row: 5907, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5908 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5908, expected_value: E12000005, label: geography} + - {column: D, row: 5908, expected_value: Males, label: sex} + - {column: E, row: 5908, expected_value: Total, label: employment type} + - {column: J, row: 5908, expected_value: Value, label: measure} + - {column: L, row: 5909, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5910 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5910, expected_value: E12000005, label: geography} + - {column: D, row: 5910, expected_value: Males, label: sex} + - {column: E, row: 5910, expected_value: Total, label: employment type} + - {column: J, row: 5910, expected_value: Value, label: measure} + - {column: L, row: 5911, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5912 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5912, expected_value: E12000005, label: geography} + - {column: D, row: 5912, expected_value: Males, label: sex} + - {column: E, row: 5912, expected_value: Total, label: employment type} + - {column: J, row: 5912, expected_value: Value, label: measure} + - {column: L, row: 5913, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5914 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5914, expected_value: E12000005, label: geography} + - {column: D, row: 5914, expected_value: Males, label: sex} + - {column: E, row: 5914, expected_value: Total, label: employment type} + - {column: J, row: 5914, expected_value: Value, label: measure} + - {column: L, row: 5915, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5916 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5916, expected_value: E12000005, label: geography} + - {column: D, row: 5916, expected_value: Males, label: sex} + - {column: E, row: 5916, expected_value: Total, label: employment type} + - {column: J, row: 5916, expected_value: Value, label: measure} + - {column: L, row: 5917, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5918 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5918, expected_value: E12000005, label: geography} + - {column: D, row: 5918, expected_value: Males, label: sex} + - {column: E, row: 5918, expected_value: Total, label: employment type} + - {column: J, row: 5918, expected_value: Value, label: measure} + - {column: L, row: 5919, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5920 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5920, expected_value: E12000005, label: geography} + - {column: D, row: 5920, expected_value: Males, label: sex} + - {column: E, row: 5920, expected_value: Total, label: employment type} + - {column: J, row: 5920, expected_value: Value, label: measure} + - {column: L, row: 5921, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5922 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5922, expected_value: E12000005, label: geography} + - {column: D, row: 5922, expected_value: Males, label: sex} + - {column: E, row: 5922, expected_value: Total, label: employment type} + - {column: J, row: 5922, expected_value: Value, label: measure} + - {column: L, row: 5923, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5924 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5924, expected_value: E12000005, label: geography} + - {column: D, row: 5924, expected_value: Males, label: sex} + - {column: E, row: 5924, expected_value: Total, label: employment type} + - {column: J, row: 5924, expected_value: Value, label: measure} + - {column: L, row: 5925, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5926 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5926, expected_value: E12000005, label: geography} + - {column: D, row: 5926, expected_value: Males, label: sex} + - {column: E, row: 5926, expected_value: Total, label: employment type} + - {column: J, row: 5926, expected_value: Value, label: measure} + - {column: L, row: 5927, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5928 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5928, expected_value: E12000005, label: geography} + - {column: D, row: 5928, expected_value: Males, label: sex} + - {column: E, row: 5928, expected_value: Total, label: employment type} + - {column: J, row: 5928, expected_value: Value, label: measure} + - {column: L, row: 5929, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5930 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5930, expected_value: E12000005, label: geography} + - {column: D, row: 5930, expected_value: Males, label: sex} + - {column: E, row: 5930, expected_value: Total, label: employment type} + - {column: J, row: 5930, expected_value: Value, label: measure} + - {column: L, row: 5931, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5932 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5932, expected_value: E12000005, label: geography} + - {column: D, row: 5932, expected_value: Males, label: sex} + - {column: E, row: 5932, expected_value: Total, label: employment type} + - {column: J, row: 5932, expected_value: Value, label: measure} + - {column: L, row: 5933, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5934 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5934, expected_value: E12000005, label: geography} + - {column: D, row: 5934, expected_value: Males, label: sex} + - {column: E, row: 5934, expected_value: Total, label: employment type} + - {column: J, row: 5934, expected_value: Value, label: measure} + - {column: L, row: 5935, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5936 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5936, expected_value: E12000005, label: geography} + - {column: D, row: 5936, expected_value: Males, label: sex} + - {column: E, row: 5936, expected_value: Total, label: employment type} + - {column: J, row: 5936, expected_value: Value, label: measure} + - {column: L, row: 5937, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5938 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5938, expected_value: E12000005, label: geography} + - {column: D, row: 5938, expected_value: Males, label: sex} + - {column: E, row: 5938, expected_value: Total, label: employment type} + - {column: J, row: 5938, expected_value: Value, label: measure} + - {column: L, row: 5939, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5940 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5940, expected_value: E12000005, label: geography} + - {column: D, row: 5940, expected_value: Males, label: sex} + - {column: E, row: 5940, expected_value: Total, label: employment type} + - {column: J, row: 5940, expected_value: Value, label: measure} + - {column: L, row: 5941, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5942 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5942, expected_value: E12000005, label: geography} + - {column: D, row: 5942, expected_value: Males, label: sex} + - {column: E, row: 5942, expected_value: Total, label: employment type} + - {column: J, row: 5942, expected_value: Value, label: measure} + - {column: L, row: 5943, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5944 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5944, expected_value: E12000005, label: geography} + - {column: D, row: 5944, expected_value: Males, label: sex} + - {column: E, row: 5944, expected_value: Total, label: employment type} + - {column: J, row: 5944, expected_value: Value, label: measure} + - {column: L, row: 5945, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5946 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5946, expected_value: E12000005, label: geography} + - {column: D, row: 5946, expected_value: Males, label: sex} + - {column: E, row: 5946, expected_value: Total, label: employment type} + - {column: J, row: 5946, expected_value: Value, label: measure} + - {column: L, row: 5947, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5948 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5948, expected_value: E12000005, label: geography} + - {column: D, row: 5948, expected_value: Males, label: sex} + - {column: E, row: 5948, expected_value: Total, label: employment type} + - {column: J, row: 5948, expected_value: Value, label: measure} + - {column: L, row: 5949, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5950 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5950, expected_value: E12000005, label: geography} + - {column: D, row: 5950, expected_value: Males, label: sex} + - {column: E, row: 5950, expected_value: Total, label: employment type} + - {column: J, row: 5950, expected_value: Value, label: measure} + - {column: L, row: 5951, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5952 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5952, expected_value: E12000005, label: geography} + - {column: D, row: 5952, expected_value: Males, label: sex} + - {column: E, row: 5952, expected_value: Total, label: employment type} + - {column: J, row: 5952, expected_value: Value, label: measure} + - {column: L, row: 5953, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5954 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5954, expected_value: E12000005, label: geography} + - {column: D, row: 5954, expected_value: Males, label: sex} + - {column: E, row: 5954, expected_value: Total, label: employment type} + - {column: J, row: 5954, expected_value: Value, label: measure} + - {column: L, row: 5955, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5956 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5956, expected_value: E12000005, label: geography} + - {column: D, row: 5956, expected_value: Males, label: sex} + - {column: E, row: 5956, expected_value: Total, label: employment type} + - {column: J, row: 5956, expected_value: Value, label: measure} + - {column: L, row: 5957, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5958 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5958, expected_value: E12000005, label: geography} + - {column: D, row: 5958, expected_value: Males, label: sex} + - {column: E, row: 5958, expected_value: Total, label: employment type} + - {column: J, row: 5958, expected_value: Value, label: measure} + - {column: L, row: 5959, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5960 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5960, expected_value: E12000005, label: geography} + - {column: D, row: 5960, expected_value: Males, label: sex} + - {column: E, row: 5960, expected_value: Total, label: employment type} + - {column: J, row: 5960, expected_value: Value, label: measure} + - {column: L, row: 5961, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5962 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5962, expected_value: E12000005, label: geography} + - {column: D, row: 5962, expected_value: Males, label: sex} + - {column: E, row: 5962, expected_value: Total, label: employment type} + - {column: J, row: 5962, expected_value: Value, label: measure} + - {column: L, row: 5963, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5964 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5964, expected_value: E12000005, label: geography} + - {column: D, row: 5964, expected_value: Males, label: sex} + - {column: E, row: 5964, expected_value: Total, label: employment type} + - {column: J, row: 5964, expected_value: Value, label: measure} + - {column: L, row: 5965, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5966 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5966, expected_value: E12000005, label: geography} + - {column: D, row: 5966, expected_value: Males, label: sex} + - {column: E, row: 5966, expected_value: Total, label: employment type} + - {column: J, row: 5966, expected_value: Value, label: measure} + - {column: L, row: 5967, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5968 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5968, expected_value: E12000005, label: geography} + - {column: D, row: 5968, expected_value: Males, label: sex} + - {column: E, row: 5968, expected_value: Total, label: employment type} + - {column: J, row: 5968, expected_value: Value, label: measure} + - {column: L, row: 5969, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5970 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5970, expected_value: E12000005, label: geography} + - {column: D, row: 5970, expected_value: Males, label: sex} + - {column: E, row: 5970, expected_value: Total, label: employment type} + - {column: J, row: 5970, expected_value: Value, label: measure} + - {column: L, row: 5971, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5972 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5972, expected_value: E12000005, label: geography} + - {column: D, row: 5972, expected_value: Males, label: sex} + - {column: E, row: 5972, expected_value: Total, label: employment type} + - {column: J, row: 5972, expected_value: Value, label: measure} + - {column: L, row: 5973, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5974 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5974, expected_value: E12000005, label: geography} + - {column: D, row: 5974, expected_value: Males, label: sex} + - {column: E, row: 5974, expected_value: Total, label: employment type} + - {column: J, row: 5974, expected_value: Value, label: measure} + - {column: L, row: 5975, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5976 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5976, expected_value: E12000005, label: geography} + - {column: D, row: 5976, expected_value: Males, label: sex} + - {column: E, row: 5976, expected_value: Total, label: employment type} + - {column: J, row: 5976, expected_value: Value, label: measure} + - {column: L, row: 5977, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5907 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5907, expected_value: E12000005, label: geography} + - {column: D, row: 5907, expected_value: Males, label: sex} + - {column: E, row: 5907, expected_value: Total, label: employment type} + - {column: J, row: 5907, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5909 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5909, expected_value: E12000005, label: geography} + - {column: D, row: 5909, expected_value: Males, label: sex} + - {column: E, row: 5909, expected_value: Total, label: employment type} + - {column: J, row: 5909, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5911 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5911, expected_value: E12000005, label: geography} + - {column: D, row: 5911, expected_value: Males, label: sex} + - {column: E, row: 5911, expected_value: Total, label: employment type} + - {column: J, row: 5911, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5913 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5913, expected_value: E12000005, label: geography} + - {column: D, row: 5913, expected_value: Males, label: sex} + - {column: E, row: 5913, expected_value: Total, label: employment type} + - {column: J, row: 5913, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5915 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5915, expected_value: E12000005, label: geography} + - {column: D, row: 5915, expected_value: Males, label: sex} + - {column: E, row: 5915, expected_value: Total, label: employment type} + - {column: J, row: 5915, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5917 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5917, expected_value: E12000005, label: geography} + - {column: D, row: 5917, expected_value: Males, label: sex} + - {column: E, row: 5917, expected_value: Total, label: employment type} + - {column: J, row: 5917, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5919 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5919, expected_value: E12000005, label: geography} + - {column: D, row: 5919, expected_value: Males, label: sex} + - {column: E, row: 5919, expected_value: Total, label: employment type} + - {column: J, row: 5919, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5921 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5921, expected_value: E12000005, label: geography} + - {column: D, row: 5921, expected_value: Males, label: sex} + - {column: E, row: 5921, expected_value: Total, label: employment type} + - {column: J, row: 5921, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5923 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5923, expected_value: E12000005, label: geography} + - {column: D, row: 5923, expected_value: Males, label: sex} + - {column: E, row: 5923, expected_value: Total, label: employment type} + - {column: J, row: 5923, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5925 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5925, expected_value: E12000005, label: geography} + - {column: D, row: 5925, expected_value: Males, label: sex} + - {column: E, row: 5925, expected_value: Total, label: employment type} + - {column: J, row: 5925, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5927 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5927, expected_value: E12000005, label: geography} + - {column: D, row: 5927, expected_value: Males, label: sex} + - {column: E, row: 5927, expected_value: Total, label: employment type} + - {column: J, row: 5927, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5929 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5929, expected_value: E12000005, label: geography} + - {column: D, row: 5929, expected_value: Males, label: sex} + - {column: E, row: 5929, expected_value: Total, label: employment type} + - {column: J, row: 5929, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5931 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5931, expected_value: E12000005, label: geography} + - {column: D, row: 5931, expected_value: Males, label: sex} + - {column: E, row: 5931, expected_value: Total, label: employment type} + - {column: J, row: 5931, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5933 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5933, expected_value: E12000005, label: geography} + - {column: D, row: 5933, expected_value: Males, label: sex} + - {column: E, row: 5933, expected_value: Total, label: employment type} + - {column: J, row: 5933, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5935 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5935, expected_value: E12000005, label: geography} + - {column: D, row: 5935, expected_value: Males, label: sex} + - {column: E, row: 5935, expected_value: Total, label: employment type} + - {column: J, row: 5935, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5937 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5937, expected_value: E12000005, label: geography} + - {column: D, row: 5937, expected_value: Males, label: sex} + - {column: E, row: 5937, expected_value: Total, label: employment type} + - {column: J, row: 5937, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5939 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5939, expected_value: E12000005, label: geography} + - {column: D, row: 5939, expected_value: Males, label: sex} + - {column: E, row: 5939, expected_value: Total, label: employment type} + - {column: J, row: 5939, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5943 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5943, expected_value: E12000005, label: geography} + - {column: D, row: 5943, expected_value: Males, label: sex} + - {column: E, row: 5943, expected_value: Total, label: employment type} + - {column: J, row: 5943, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5945 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5945, expected_value: E12000005, label: geography} + - {column: D, row: 5945, expected_value: Males, label: sex} + - {column: E, row: 5945, expected_value: Total, label: employment type} + - {column: J, row: 5945, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5947 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5947, expected_value: E12000005, label: geography} + - {column: D, row: 5947, expected_value: Males, label: sex} + - {column: E, row: 5947, expected_value: Total, label: employment type} + - {column: J, row: 5947, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5949 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5949, expected_value: E12000005, label: geography} + - {column: D, row: 5949, expected_value: Males, label: sex} + - {column: E, row: 5949, expected_value: Total, label: employment type} + - {column: J, row: 5949, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5951 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5951, expected_value: E12000005, label: geography} + - {column: D, row: 5951, expected_value: Males, label: sex} + - {column: E, row: 5951, expected_value: Total, label: employment type} + - {column: J, row: 5951, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5953 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5953, expected_value: E12000005, label: geography} + - {column: D, row: 5953, expected_value: Males, label: sex} + - {column: E, row: 5953, expected_value: Total, label: employment type} + - {column: J, row: 5953, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5955 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5955, expected_value: E12000005, label: geography} + - {column: D, row: 5955, expected_value: Males, label: sex} + - {column: E, row: 5955, expected_value: Total, label: employment type} + - {column: J, row: 5955, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5957 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5957, expected_value: E12000005, label: geography} + - {column: D, row: 5957, expected_value: Males, label: sex} + - {column: E, row: 5957, expected_value: Total, label: employment type} + - {column: J, row: 5957, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5961 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5961, expected_value: E12000005, label: geography} + - {column: D, row: 5961, expected_value: Males, label: sex} + - {column: E, row: 5961, expected_value: Total, label: employment type} + - {column: J, row: 5961, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5963 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5963, expected_value: E12000005, label: geography} + - {column: D, row: 5963, expected_value: Males, label: sex} + - {column: E, row: 5963, expected_value: Total, label: employment type} + - {column: J, row: 5963, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5965 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5965, expected_value: E12000005, label: geography} + - {column: D, row: 5965, expected_value: Males, label: sex} + - {column: E, row: 5965, expected_value: Total, label: employment type} + - {column: J, row: 5965, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5967 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5967, expected_value: E12000005, label: geography} + - {column: D, row: 5967, expected_value: Males, label: sex} + - {column: E, row: 5967, expected_value: Total, label: employment type} + - {column: J, row: 5967, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5969 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5969, expected_value: E12000005, label: geography} + - {column: D, row: 5969, expected_value: Males, label: sex} + - {column: E, row: 5969, expected_value: Total, label: employment type} + - {column: J, row: 5969, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5971 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5971, expected_value: E12000005, label: geography} + - {column: D, row: 5971, expected_value: Males, label: sex} + - {column: E, row: 5971, expected_value: Total, label: employment type} + - {column: J, row: 5971, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5973 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5973, expected_value: E12000005, label: geography} + - {column: D, row: 5973, expected_value: Males, label: sex} + - {column: E, row: 5973, expected_value: Total, label: employment type} + - {column: J, row: 5973, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5975 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5975, expected_value: E12000005, label: geography} + - {column: D, row: 5975, expected_value: Males, label: sex} + - {column: E, row: 5975, expected_value: Total, label: employment type} + - {column: J, row: 5975, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5977 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5977, expected_value: E12000005, label: geography} + - {column: D, row: 5977, expected_value: Males, label: sex} + - {column: E, row: 5977, expected_value: Total, label: employment type} + - {column: J, row: 5977, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6122 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6122, expected_value: E12000005, label: geography} + - {column: D, row: 6122, expected_value: Males, label: sex} + - {column: E, row: 6122, expected_value: Employee, label: employment type} + - {column: J, row: 6122, expected_value: Value, label: measure} + - {column: L, row: 6123, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6124 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6124, expected_value: E12000005, label: geography} + - {column: D, row: 6124, expected_value: Males, label: sex} + - {column: E, row: 6124, expected_value: Employee, label: employment type} + - {column: J, row: 6124, expected_value: Value, label: measure} + - {column: L, row: 6125, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6126 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6126, expected_value: E12000005, label: geography} + - {column: D, row: 6126, expected_value: Males, label: sex} + - {column: E, row: 6126, expected_value: Employee, label: employment type} + - {column: J, row: 6126, expected_value: Value, label: measure} + - {column: L, row: 6127, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6128 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6128, expected_value: E12000005, label: geography} + - {column: D, row: 6128, expected_value: Males, label: sex} + - {column: E, row: 6128, expected_value: Employee, label: employment type} + - {column: J, row: 6128, expected_value: Value, label: measure} + - {column: L, row: 6129, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6130 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6130, expected_value: E12000005, label: geography} + - {column: D, row: 6130, expected_value: Males, label: sex} + - {column: E, row: 6130, expected_value: Employee, label: employment type} + - {column: J, row: 6130, expected_value: Value, label: measure} + - {column: L, row: 6131, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6132 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6132, expected_value: E12000005, label: geography} + - {column: D, row: 6132, expected_value: Males, label: sex} + - {column: E, row: 6132, expected_value: Employee, label: employment type} + - {column: J, row: 6132, expected_value: Value, label: measure} + - {column: L, row: 6133, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6134 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6134, expected_value: E12000005, label: geography} + - {column: D, row: 6134, expected_value: Males, label: sex} + - {column: E, row: 6134, expected_value: Employee, label: employment type} + - {column: J, row: 6134, expected_value: Value, label: measure} + - {column: L, row: 6135, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6136 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6136, expected_value: E12000005, label: geography} + - {column: D, row: 6136, expected_value: Males, label: sex} + - {column: E, row: 6136, expected_value: Employee, label: employment type} + - {column: J, row: 6136, expected_value: Value, label: measure} + - {column: L, row: 6137, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6138 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6138, expected_value: E12000005, label: geography} + - {column: D, row: 6138, expected_value: Males, label: sex} + - {column: E, row: 6138, expected_value: Employee, label: employment type} + - {column: J, row: 6138, expected_value: Value, label: measure} + - {column: L, row: 6139, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6140 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6140, expected_value: E12000005, label: geography} + - {column: D, row: 6140, expected_value: Males, label: sex} + - {column: E, row: 6140, expected_value: Employee, label: employment type} + - {column: J, row: 6140, expected_value: Value, label: measure} + - {column: L, row: 6141, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6142 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6142, expected_value: E12000005, label: geography} + - {column: D, row: 6142, expected_value: Males, label: sex} + - {column: E, row: 6142, expected_value: Employee, label: employment type} + - {column: J, row: 6142, expected_value: Value, label: measure} + - {column: L, row: 6143, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6144 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6144, expected_value: E12000005, label: geography} + - {column: D, row: 6144, expected_value: Males, label: sex} + - {column: E, row: 6144, expected_value: Employee, label: employment type} + - {column: J, row: 6144, expected_value: Value, label: measure} + - {column: L, row: 6145, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6146 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6146, expected_value: E12000005, label: geography} + - {column: D, row: 6146, expected_value: Males, label: sex} + - {column: E, row: 6146, expected_value: Employee, label: employment type} + - {column: J, row: 6146, expected_value: Value, label: measure} + - {column: L, row: 6147, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6148 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6148, expected_value: E12000005, label: geography} + - {column: D, row: 6148, expected_value: Males, label: sex} + - {column: E, row: 6148, expected_value: Employee, label: employment type} + - {column: J, row: 6148, expected_value: Value, label: measure} + - {column: L, row: 6149, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6150 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6150, expected_value: E12000005, label: geography} + - {column: D, row: 6150, expected_value: Males, label: sex} + - {column: E, row: 6150, expected_value: Employee, label: employment type} + - {column: J, row: 6150, expected_value: Value, label: measure} + - {column: L, row: 6151, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6152 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6152, expected_value: E12000005, label: geography} + - {column: D, row: 6152, expected_value: Males, label: sex} + - {column: E, row: 6152, expected_value: Employee, label: employment type} + - {column: J, row: 6152, expected_value: Value, label: measure} + - {column: L, row: 6153, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6154 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6154, expected_value: E12000005, label: geography} + - {column: D, row: 6154, expected_value: Males, label: sex} + - {column: E, row: 6154, expected_value: Employee, label: employment type} + - {column: J, row: 6154, expected_value: Value, label: measure} + - {column: L, row: 6155, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6156 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6156, expected_value: E12000005, label: geography} + - {column: D, row: 6156, expected_value: Males, label: sex} + - {column: E, row: 6156, expected_value: Employee, label: employment type} + - {column: J, row: 6156, expected_value: Value, label: measure} + - {column: L, row: 6157, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6158 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6158, expected_value: E12000005, label: geography} + - {column: D, row: 6158, expected_value: Males, label: sex} + - {column: E, row: 6158, expected_value: Employee, label: employment type} + - {column: J, row: 6158, expected_value: Value, label: measure} + - {column: L, row: 6159, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6160 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6160, expected_value: E12000005, label: geography} + - {column: D, row: 6160, expected_value: Males, label: sex} + - {column: E, row: 6160, expected_value: Employee, label: employment type} + - {column: J, row: 6160, expected_value: Value, label: measure} + - {column: L, row: 6161, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6162 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6162, expected_value: E12000005, label: geography} + - {column: D, row: 6162, expected_value: Males, label: sex} + - {column: E, row: 6162, expected_value: Employee, label: employment type} + - {column: J, row: 6162, expected_value: Value, label: measure} + - {column: L, row: 6163, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6164 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6164, expected_value: E12000005, label: geography} + - {column: D, row: 6164, expected_value: Males, label: sex} + - {column: E, row: 6164, expected_value: Employee, label: employment type} + - {column: J, row: 6164, expected_value: Value, label: measure} + - {column: L, row: 6165, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6166 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6166, expected_value: E12000005, label: geography} + - {column: D, row: 6166, expected_value: Males, label: sex} + - {column: E, row: 6166, expected_value: Employee, label: employment type} + - {column: J, row: 6166, expected_value: Value, label: measure} + - {column: L, row: 6167, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6168 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6168, expected_value: E12000005, label: geography} + - {column: D, row: 6168, expected_value: Males, label: sex} + - {column: E, row: 6168, expected_value: Employee, label: employment type} + - {column: J, row: 6168, expected_value: Value, label: measure} + - {column: L, row: 6169, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6170 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6170, expected_value: E12000005, label: geography} + - {column: D, row: 6170, expected_value: Males, label: sex} + - {column: E, row: 6170, expected_value: Employee, label: employment type} + - {column: J, row: 6170, expected_value: Value, label: measure} + - {column: L, row: 6171, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6172 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6172, expected_value: E12000005, label: geography} + - {column: D, row: 6172, expected_value: Males, label: sex} + - {column: E, row: 6172, expected_value: Employee, label: employment type} + - {column: J, row: 6172, expected_value: Value, label: measure} + - {column: L, row: 6173, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6174 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6174, expected_value: E12000005, label: geography} + - {column: D, row: 6174, expected_value: Males, label: sex} + - {column: E, row: 6174, expected_value: Employee, label: employment type} + - {column: J, row: 6174, expected_value: Value, label: measure} + - {column: L, row: 6175, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6176 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6176, expected_value: E12000005, label: geography} + - {column: D, row: 6176, expected_value: Males, label: sex} + - {column: E, row: 6176, expected_value: Employee, label: employment type} + - {column: J, row: 6176, expected_value: Value, label: measure} + - {column: L, row: 6177, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6178 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6178, expected_value: E12000005, label: geography} + - {column: D, row: 6178, expected_value: Males, label: sex} + - {column: E, row: 6178, expected_value: Employee, label: employment type} + - {column: J, row: 6178, expected_value: Value, label: measure} + - {column: L, row: 6179, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6180 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6180, expected_value: E12000005, label: geography} + - {column: D, row: 6180, expected_value: Males, label: sex} + - {column: E, row: 6180, expected_value: Employee, label: employment type} + - {column: J, row: 6180, expected_value: Value, label: measure} + - {column: L, row: 6181, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6182 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6182, expected_value: E12000005, label: geography} + - {column: D, row: 6182, expected_value: Males, label: sex} + - {column: E, row: 6182, expected_value: Employee, label: employment type} + - {column: J, row: 6182, expected_value: Value, label: measure} + - {column: L, row: 6183, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6184 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6184, expected_value: E12000005, label: geography} + - {column: D, row: 6184, expected_value: Males, label: sex} + - {column: E, row: 6184, expected_value: Employee, label: employment type} + - {column: J, row: 6184, expected_value: Value, label: measure} + - {column: L, row: 6185, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6186 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6186, expected_value: E12000005, label: geography} + - {column: D, row: 6186, expected_value: Males, label: sex} + - {column: E, row: 6186, expected_value: Employee, label: employment type} + - {column: J, row: 6186, expected_value: Value, label: measure} + - {column: L, row: 6187, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6188 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6188, expected_value: E12000005, label: geography} + - {column: D, row: 6188, expected_value: Males, label: sex} + - {column: E, row: 6188, expected_value: Employee, label: employment type} + - {column: J, row: 6188, expected_value: Value, label: measure} + - {column: L, row: 6189, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6190 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6190, expected_value: E12000005, label: geography} + - {column: D, row: 6190, expected_value: Males, label: sex} + - {column: E, row: 6190, expected_value: Employee, label: employment type} + - {column: J, row: 6190, expected_value: Value, label: measure} + - {column: L, row: 6191, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6192 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6192, expected_value: E12000005, label: geography} + - {column: D, row: 6192, expected_value: Males, label: sex} + - {column: E, row: 6192, expected_value: Employee, label: employment type} + - {column: J, row: 6192, expected_value: Value, label: measure} + - {column: L, row: 6193, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6123 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6123, expected_value: E12000005, label: geography} + - {column: D, row: 6123, expected_value: Males, label: sex} + - {column: E, row: 6123, expected_value: Employee, label: employment type} + - {column: J, row: 6123, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6125 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6125, expected_value: E12000005, label: geography} + - {column: D, row: 6125, expected_value: Males, label: sex} + - {column: E, row: 6125, expected_value: Employee, label: employment type} + - {column: J, row: 6125, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6127 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6127, expected_value: E12000005, label: geography} + - {column: D, row: 6127, expected_value: Males, label: sex} + - {column: E, row: 6127, expected_value: Employee, label: employment type} + - {column: J, row: 6127, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6129 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6129, expected_value: E12000005, label: geography} + - {column: D, row: 6129, expected_value: Males, label: sex} + - {column: E, row: 6129, expected_value: Employee, label: employment type} + - {column: J, row: 6129, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6131 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6131, expected_value: E12000005, label: geography} + - {column: D, row: 6131, expected_value: Males, label: sex} + - {column: E, row: 6131, expected_value: Employee, label: employment type} + - {column: J, row: 6131, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6133 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6133, expected_value: E12000005, label: geography} + - {column: D, row: 6133, expected_value: Males, label: sex} + - {column: E, row: 6133, expected_value: Employee, label: employment type} + - {column: J, row: 6133, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6135 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6135, expected_value: E12000005, label: geography} + - {column: D, row: 6135, expected_value: Males, label: sex} + - {column: E, row: 6135, expected_value: Employee, label: employment type} + - {column: J, row: 6135, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6137 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6137, expected_value: E12000005, label: geography} + - {column: D, row: 6137, expected_value: Males, label: sex} + - {column: E, row: 6137, expected_value: Employee, label: employment type} + - {column: J, row: 6137, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6139 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6139, expected_value: E12000005, label: geography} + - {column: D, row: 6139, expected_value: Males, label: sex} + - {column: E, row: 6139, expected_value: Employee, label: employment type} + - {column: J, row: 6139, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6141 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6141, expected_value: E12000005, label: geography} + - {column: D, row: 6141, expected_value: Males, label: sex} + - {column: E, row: 6141, expected_value: Employee, label: employment type} + - {column: J, row: 6141, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6143 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6143, expected_value: E12000005, label: geography} + - {column: D, row: 6143, expected_value: Males, label: sex} + - {column: E, row: 6143, expected_value: Employee, label: employment type} + - {column: J, row: 6143, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6145 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6145, expected_value: E12000005, label: geography} + - {column: D, row: 6145, expected_value: Males, label: sex} + - {column: E, row: 6145, expected_value: Employee, label: employment type} + - {column: J, row: 6145, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6147 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6147, expected_value: E12000005, label: geography} + - {column: D, row: 6147, expected_value: Males, label: sex} + - {column: E, row: 6147, expected_value: Employee, label: employment type} + - {column: J, row: 6147, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6149 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6149, expected_value: E12000005, label: geography} + - {column: D, row: 6149, expected_value: Males, label: sex} + - {column: E, row: 6149, expected_value: Employee, label: employment type} + - {column: J, row: 6149, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6151 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6151, expected_value: E12000005, label: geography} + - {column: D, row: 6151, expected_value: Males, label: sex} + - {column: E, row: 6151, expected_value: Employee, label: employment type} + - {column: J, row: 6151, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6153 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6153, expected_value: E12000005, label: geography} + - {column: D, row: 6153, expected_value: Males, label: sex} + - {column: E, row: 6153, expected_value: Employee, label: employment type} + - {column: J, row: 6153, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6155 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6155, expected_value: E12000005, label: geography} + - {column: D, row: 6155, expected_value: Males, label: sex} + - {column: E, row: 6155, expected_value: Employee, label: employment type} + - {column: J, row: 6155, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6159 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6159, expected_value: E12000005, label: geography} + - {column: D, row: 6159, expected_value: Males, label: sex} + - {column: E, row: 6159, expected_value: Employee, label: employment type} + - {column: J, row: 6159, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6161 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6161, expected_value: E12000005, label: geography} + - {column: D, row: 6161, expected_value: Males, label: sex} + - {column: E, row: 6161, expected_value: Employee, label: employment type} + - {column: J, row: 6161, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6163 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6163, expected_value: E12000005, label: geography} + - {column: D, row: 6163, expected_value: Males, label: sex} + - {column: E, row: 6163, expected_value: Employee, label: employment type} + - {column: J, row: 6163, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6165 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6165, expected_value: E12000005, label: geography} + - {column: D, row: 6165, expected_value: Males, label: sex} + - {column: E, row: 6165, expected_value: Employee, label: employment type} + - {column: J, row: 6165, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6167 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6167, expected_value: E12000005, label: geography} + - {column: D, row: 6167, expected_value: Males, label: sex} + - {column: E, row: 6167, expected_value: Employee, label: employment type} + - {column: J, row: 6167, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6169 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6169, expected_value: E12000005, label: geography} + - {column: D, row: 6169, expected_value: Males, label: sex} + - {column: E, row: 6169, expected_value: Employee, label: employment type} + - {column: J, row: 6169, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6171 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6171, expected_value: E12000005, label: geography} + - {column: D, row: 6171, expected_value: Males, label: sex} + - {column: E, row: 6171, expected_value: Employee, label: employment type} + - {column: J, row: 6171, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6173 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6173, expected_value: E12000005, label: geography} + - {column: D, row: 6173, expected_value: Males, label: sex} + - {column: E, row: 6173, expected_value: Employee, label: employment type} + - {column: J, row: 6173, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6177 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6177, expected_value: E12000005, label: geography} + - {column: D, row: 6177, expected_value: Males, label: sex} + - {column: E, row: 6177, expected_value: Employee, label: employment type} + - {column: J, row: 6177, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6179 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6179, expected_value: E12000005, label: geography} + - {column: D, row: 6179, expected_value: Males, label: sex} + - {column: E, row: 6179, expected_value: Employee, label: employment type} + - {column: J, row: 6179, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6181 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6181, expected_value: E12000005, label: geography} + - {column: D, row: 6181, expected_value: Males, label: sex} + - {column: E, row: 6181, expected_value: Employee, label: employment type} + - {column: J, row: 6181, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6183 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6183, expected_value: E12000005, label: geography} + - {column: D, row: 6183, expected_value: Males, label: sex} + - {column: E, row: 6183, expected_value: Employee, label: employment type} + - {column: J, row: 6183, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6185 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6185, expected_value: E12000005, label: geography} + - {column: D, row: 6185, expected_value: Males, label: sex} + - {column: E, row: 6185, expected_value: Employee, label: employment type} + - {column: J, row: 6185, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6187 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6187, expected_value: E12000005, label: geography} + - {column: D, row: 6187, expected_value: Males, label: sex} + - {column: E, row: 6187, expected_value: Employee, label: employment type} + - {column: J, row: 6187, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6189 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6189, expected_value: E12000005, label: geography} + - {column: D, row: 6189, expected_value: Males, label: sex} + - {column: E, row: 6189, expected_value: Employee, label: employment type} + - {column: J, row: 6189, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6191 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6191, expected_value: E12000005, label: geography} + - {column: D, row: 6191, expected_value: Males, label: sex} + - {column: E, row: 6191, expected_value: Employee, label: employment type} + - {column: J, row: 6191, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6193 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6193, expected_value: E12000005, label: geography} + - {column: D, row: 6193, expected_value: Males, label: sex} + - {column: E, row: 6193, expected_value: Employee, label: employment type} + - {column: J, row: 6193, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6338 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6338, expected_value: E12000005, label: geography} + - {column: D, row: 6338, expected_value: Males, label: sex} + - {column: E, row: 6338, expected_value: Self-employed, label: employment type} + - {column: J, row: 6338, expected_value: Value, label: measure} + - {column: L, row: 6339, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6340 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6340, expected_value: E12000005, label: geography} + - {column: D, row: 6340, expected_value: Males, label: sex} + - {column: E, row: 6340, expected_value: Self-employed, label: employment type} + - {column: J, row: 6340, expected_value: Value, label: measure} + - {column: L, row: 6341, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6342 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6342, expected_value: E12000005, label: geography} + - {column: D, row: 6342, expected_value: Males, label: sex} + - {column: E, row: 6342, expected_value: Self-employed, label: employment type} + - {column: J, row: 6342, expected_value: Value, label: measure} + - {column: L, row: 6343, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6344 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6344, expected_value: E12000005, label: geography} + - {column: D, row: 6344, expected_value: Males, label: sex} + - {column: E, row: 6344, expected_value: Self-employed, label: employment type} + - {column: J, row: 6344, expected_value: Value, label: measure} + - {column: L, row: 6345, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6346 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6346, expected_value: E12000005, label: geography} + - {column: D, row: 6346, expected_value: Males, label: sex} + - {column: E, row: 6346, expected_value: Self-employed, label: employment type} + - {column: J, row: 6346, expected_value: Value, label: measure} + - {column: L, row: 6347, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6348 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6348, expected_value: E12000005, label: geography} + - {column: D, row: 6348, expected_value: Males, label: sex} + - {column: E, row: 6348, expected_value: Self-employed, label: employment type} + - {column: J, row: 6348, expected_value: Value, label: measure} + - {column: L, row: 6349, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6350 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6350, expected_value: E12000005, label: geography} + - {column: D, row: 6350, expected_value: Males, label: sex} + - {column: E, row: 6350, expected_value: Self-employed, label: employment type} + - {column: J, row: 6350, expected_value: Value, label: measure} + - {column: L, row: 6351, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6352 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6352, expected_value: E12000005, label: geography} + - {column: D, row: 6352, expected_value: Males, label: sex} + - {column: E, row: 6352, expected_value: Self-employed, label: employment type} + - {column: J, row: 6352, expected_value: Value, label: measure} + - {column: L, row: 6353, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6354 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6354, expected_value: E12000005, label: geography} + - {column: D, row: 6354, expected_value: Males, label: sex} + - {column: E, row: 6354, expected_value: Self-employed, label: employment type} + - {column: J, row: 6354, expected_value: Value, label: measure} + - {column: L, row: 6355, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6356 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6356, expected_value: E12000005, label: geography} + - {column: D, row: 6356, expected_value: Males, label: sex} + - {column: E, row: 6356, expected_value: Self-employed, label: employment type} + - {column: J, row: 6356, expected_value: Value, label: measure} + - {column: L, row: 6357, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6360 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6360, expected_value: E12000005, label: geography} + - {column: D, row: 6360, expected_value: Males, label: sex} + - {column: E, row: 6360, expected_value: Self-employed, label: employment type} + - {column: J, row: 6360, expected_value: Value, label: measure} + - {column: L, row: 6361, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6364 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6364, expected_value: E12000005, label: geography} + - {column: D, row: 6364, expected_value: Males, label: sex} + - {column: E, row: 6364, expected_value: Self-employed, label: employment type} + - {column: J, row: 6364, expected_value: Value, label: measure} + - {column: L, row: 6365, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6366 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6366, expected_value: E12000005, label: geography} + - {column: D, row: 6366, expected_value: Males, label: sex} + - {column: E, row: 6366, expected_value: Self-employed, label: employment type} + - {column: J, row: 6366, expected_value: Value, label: measure} + - {column: L, row: 6367, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6368 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6368, expected_value: E12000005, label: geography} + - {column: D, row: 6368, expected_value: Males, label: sex} + - {column: E, row: 6368, expected_value: Self-employed, label: employment type} + - {column: J, row: 6368, expected_value: Value, label: measure} + - {column: L, row: 6369, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6370 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6370, expected_value: E12000005, label: geography} + - {column: D, row: 6370, expected_value: Males, label: sex} + - {column: E, row: 6370, expected_value: Self-employed, label: employment type} + - {column: J, row: 6370, expected_value: Value, label: measure} + - {column: L, row: 6371, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6374 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6374, expected_value: E12000005, label: geography} + - {column: D, row: 6374, expected_value: Males, label: sex} + - {column: E, row: 6374, expected_value: Self-employed, label: employment type} + - {column: J, row: 6374, expected_value: Value, label: measure} + - {column: L, row: 6375, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6376 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6376, expected_value: E12000005, label: geography} + - {column: D, row: 6376, expected_value: Males, label: sex} + - {column: E, row: 6376, expected_value: Self-employed, label: employment type} + - {column: J, row: 6376, expected_value: Value, label: measure} + - {column: L, row: 6377, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6378 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6378, expected_value: E12000005, label: geography} + - {column: D, row: 6378, expected_value: Males, label: sex} + - {column: E, row: 6378, expected_value: Self-employed, label: employment type} + - {column: J, row: 6378, expected_value: Value, label: measure} + - {column: L, row: 6379, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6380 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6380, expected_value: E12000005, label: geography} + - {column: D, row: 6380, expected_value: Males, label: sex} + - {column: E, row: 6380, expected_value: Self-employed, label: employment type} + - {column: J, row: 6380, expected_value: Value, label: measure} + - {column: L, row: 6381, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6382 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6382, expected_value: E12000005, label: geography} + - {column: D, row: 6382, expected_value: Males, label: sex} + - {column: E, row: 6382, expected_value: Self-employed, label: employment type} + - {column: J, row: 6382, expected_value: Value, label: measure} + - {column: L, row: 6383, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6384 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6384, expected_value: E12000005, label: geography} + - {column: D, row: 6384, expected_value: Males, label: sex} + - {column: E, row: 6384, expected_value: Self-employed, label: employment type} + - {column: J, row: 6384, expected_value: Value, label: measure} + - {column: L, row: 6385, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6386 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6386, expected_value: E12000005, label: geography} + - {column: D, row: 6386, expected_value: Males, label: sex} + - {column: E, row: 6386, expected_value: Self-employed, label: employment type} + - {column: J, row: 6386, expected_value: Value, label: measure} + - {column: L, row: 6387, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6388 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6388, expected_value: E12000005, label: geography} + - {column: D, row: 6388, expected_value: Males, label: sex} + - {column: E, row: 6388, expected_value: Self-employed, label: employment type} + - {column: J, row: 6388, expected_value: Value, label: measure} + - {column: L, row: 6389, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6392 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6392, expected_value: E12000005, label: geography} + - {column: D, row: 6392, expected_value: Males, label: sex} + - {column: E, row: 6392, expected_value: Self-employed, label: employment type} + - {column: J, row: 6392, expected_value: Value, label: measure} + - {column: L, row: 6393, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6394 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6394, expected_value: E12000005, label: geography} + - {column: D, row: 6394, expected_value: Males, label: sex} + - {column: E, row: 6394, expected_value: Self-employed, label: employment type} + - {column: J, row: 6394, expected_value: Value, label: measure} + - {column: L, row: 6395, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6398 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6398, expected_value: E12000005, label: geography} + - {column: D, row: 6398, expected_value: Males, label: sex} + - {column: E, row: 6398, expected_value: Self-employed, label: employment type} + - {column: J, row: 6398, expected_value: Value, label: measure} + - {column: L, row: 6399, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6400 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6400, expected_value: E12000005, label: geography} + - {column: D, row: 6400, expected_value: Males, label: sex} + - {column: E, row: 6400, expected_value: Self-employed, label: employment type} + - {column: J, row: 6400, expected_value: Value, label: measure} + - {column: L, row: 6401, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6402 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6402, expected_value: E12000005, label: geography} + - {column: D, row: 6402, expected_value: Males, label: sex} + - {column: E, row: 6402, expected_value: Self-employed, label: employment type} + - {column: J, row: 6402, expected_value: Value, label: measure} + - {column: L, row: 6403, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6404 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6404, expected_value: E12000005, label: geography} + - {column: D, row: 6404, expected_value: Males, label: sex} + - {column: E, row: 6404, expected_value: Self-employed, label: employment type} + - {column: J, row: 6404, expected_value: Value, label: measure} + - {column: L, row: 6405, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6406 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6406, expected_value: E12000005, label: geography} + - {column: D, row: 6406, expected_value: Males, label: sex} + - {column: E, row: 6406, expected_value: Self-employed, label: employment type} + - {column: J, row: 6406, expected_value: Value, label: measure} + - {column: L, row: 6407, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6408 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6408, expected_value: E12000005, label: geography} + - {column: D, row: 6408, expected_value: Males, label: sex} + - {column: E, row: 6408, expected_value: Self-employed, label: employment type} + - {column: J, row: 6408, expected_value: Value, label: measure} + - {column: L, row: 6409, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6339 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6339, expected_value: E12000005, label: geography} + - {column: D, row: 6339, expected_value: Males, label: sex} + - {column: E, row: 6339, expected_value: Self-employed, label: employment type} + - {column: J, row: 6339, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6341 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6341, expected_value: E12000005, label: geography} + - {column: D, row: 6341, expected_value: Males, label: sex} + - {column: E, row: 6341, expected_value: Self-employed, label: employment type} + - {column: J, row: 6341, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6343 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6343, expected_value: E12000005, label: geography} + - {column: D, row: 6343, expected_value: Males, label: sex} + - {column: E, row: 6343, expected_value: Self-employed, label: employment type} + - {column: J, row: 6343, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6345 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6345, expected_value: E12000005, label: geography} + - {column: D, row: 6345, expected_value: Males, label: sex} + - {column: E, row: 6345, expected_value: Self-employed, label: employment type} + - {column: J, row: 6345, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6347 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6347, expected_value: E12000005, label: geography} + - {column: D, row: 6347, expected_value: Males, label: sex} + - {column: E, row: 6347, expected_value: Self-employed, label: employment type} + - {column: J, row: 6347, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6349 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6349, expected_value: E12000005, label: geography} + - {column: D, row: 6349, expected_value: Males, label: sex} + - {column: E, row: 6349, expected_value: Self-employed, label: employment type} + - {column: J, row: 6349, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6351 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6351, expected_value: E12000005, label: geography} + - {column: D, row: 6351, expected_value: Males, label: sex} + - {column: E, row: 6351, expected_value: Self-employed, label: employment type} + - {column: J, row: 6351, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6355 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6355, expected_value: E12000005, label: geography} + - {column: D, row: 6355, expected_value: Males, label: sex} + - {column: E, row: 6355, expected_value: Self-employed, label: employment type} + - {column: J, row: 6355, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6357 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6357, expected_value: E12000005, label: geography} + - {column: D, row: 6357, expected_value: Males, label: sex} + - {column: E, row: 6357, expected_value: Self-employed, label: employment type} + - {column: J, row: 6357, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6365 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6365, expected_value: E12000005, label: geography} + - {column: D, row: 6365, expected_value: Males, label: sex} + - {column: E, row: 6365, expected_value: Self-employed, label: employment type} + - {column: J, row: 6365, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6367 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6367, expected_value: E12000005, label: geography} + - {column: D, row: 6367, expected_value: Males, label: sex} + - {column: E, row: 6367, expected_value: Self-employed, label: employment type} + - {column: J, row: 6367, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6375 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6375, expected_value: E12000005, label: geography} + - {column: D, row: 6375, expected_value: Males, label: sex} + - {column: E, row: 6375, expected_value: Self-employed, label: employment type} + - {column: J, row: 6375, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6377 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6377, expected_value: E12000005, label: geography} + - {column: D, row: 6377, expected_value: Males, label: sex} + - {column: E, row: 6377, expected_value: Self-employed, label: employment type} + - {column: J, row: 6377, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6379 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6379, expected_value: E12000005, label: geography} + - {column: D, row: 6379, expected_value: Males, label: sex} + - {column: E, row: 6379, expected_value: Self-employed, label: employment type} + - {column: J, row: 6379, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6381 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6381, expected_value: E12000005, label: geography} + - {column: D, row: 6381, expected_value: Males, label: sex} + - {column: E, row: 6381, expected_value: Self-employed, label: employment type} + - {column: J, row: 6381, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6385 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6385, expected_value: E12000005, label: geography} + - {column: D, row: 6385, expected_value: Males, label: sex} + - {column: E, row: 6385, expected_value: Self-employed, label: employment type} + - {column: J, row: 6385, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6393 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6393, expected_value: E12000005, label: geography} + - {column: D, row: 6393, expected_value: Males, label: sex} + - {column: E, row: 6393, expected_value: Self-employed, label: employment type} + - {column: J, row: 6393, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6395 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6395, expected_value: E12000005, label: geography} + - {column: D, row: 6395, expected_value: Males, label: sex} + - {column: E, row: 6395, expected_value: Self-employed, label: employment type} + - {column: J, row: 6395, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6399 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6399, expected_value: E12000005, label: geography} + - {column: D, row: 6399, expected_value: Males, label: sex} + - {column: E, row: 6399, expected_value: Self-employed, label: employment type} + - {column: J, row: 6399, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6403 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6403, expected_value: E12000005, label: geography} + - {column: D, row: 6403, expected_value: Males, label: sex} + - {column: E, row: 6403, expected_value: Self-employed, label: employment type} + - {column: J, row: 6403, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6405 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6405, expected_value: E12000005, label: geography} + - {column: D, row: 6405, expected_value: Males, label: sex} + - {column: E, row: 6405, expected_value: Self-employed, label: employment type} + - {column: J, row: 6405, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6407 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6407, expected_value: E12000005, label: geography} + - {column: D, row: 6407, expected_value: Males, label: sex} + - {column: E, row: 6407, expected_value: Self-employed, label: employment type} + - {column: J, row: 6407, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5978 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5978, expected_value: E12000005, label: geography} + - {column: D, row: 5978, expected_value: Females, label: sex} + - {column: E, row: 5978, expected_value: Total, label: employment type} + - {column: J, row: 5978, expected_value: Value, label: measure} + - {column: L, row: 5979, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5980 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5980, expected_value: E12000005, label: geography} + - {column: D, row: 5980, expected_value: Females, label: sex} + - {column: E, row: 5980, expected_value: Total, label: employment type} + - {column: J, row: 5980, expected_value: Value, label: measure} + - {column: L, row: 5981, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5982 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5982, expected_value: E12000005, label: geography} + - {column: D, row: 5982, expected_value: Females, label: sex} + - {column: E, row: 5982, expected_value: Total, label: employment type} + - {column: J, row: 5982, expected_value: Value, label: measure} + - {column: L, row: 5983, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5984 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5984, expected_value: E12000005, label: geography} + - {column: D, row: 5984, expected_value: Females, label: sex} + - {column: E, row: 5984, expected_value: Total, label: employment type} + - {column: J, row: 5984, expected_value: Value, label: measure} + - {column: L, row: 5985, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5986 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5986, expected_value: E12000005, label: geography} + - {column: D, row: 5986, expected_value: Females, label: sex} + - {column: E, row: 5986, expected_value: Total, label: employment type} + - {column: J, row: 5986, expected_value: Value, label: measure} + - {column: L, row: 5987, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5988 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5988, expected_value: E12000005, label: geography} + - {column: D, row: 5988, expected_value: Females, label: sex} + - {column: E, row: 5988, expected_value: Total, label: employment type} + - {column: J, row: 5988, expected_value: Value, label: measure} + - {column: L, row: 5989, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5990 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5990, expected_value: E12000005, label: geography} + - {column: D, row: 5990, expected_value: Females, label: sex} + - {column: E, row: 5990, expected_value: Total, label: employment type} + - {column: J, row: 5990, expected_value: Value, label: measure} + - {column: L, row: 5991, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5992 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5992, expected_value: E12000005, label: geography} + - {column: D, row: 5992, expected_value: Females, label: sex} + - {column: E, row: 5992, expected_value: Total, label: employment type} + - {column: J, row: 5992, expected_value: Value, label: measure} + - {column: L, row: 5993, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5994 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5994, expected_value: E12000005, label: geography} + - {column: D, row: 5994, expected_value: Females, label: sex} + - {column: E, row: 5994, expected_value: Total, label: employment type} + - {column: J, row: 5994, expected_value: Value, label: measure} + - {column: L, row: 5995, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5996 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5996, expected_value: E12000005, label: geography} + - {column: D, row: 5996, expected_value: Females, label: sex} + - {column: E, row: 5996, expected_value: Total, label: employment type} + - {column: J, row: 5996, expected_value: Value, label: measure} + - {column: L, row: 5997, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5998 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5998, expected_value: E12000005, label: geography} + - {column: D, row: 5998, expected_value: Females, label: sex} + - {column: E, row: 5998, expected_value: Total, label: employment type} + - {column: J, row: 5998, expected_value: Value, label: measure} + - {column: L, row: 5999, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6000 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6000, expected_value: E12000005, label: geography} + - {column: D, row: 6000, expected_value: Females, label: sex} + - {column: E, row: 6000, expected_value: Total, label: employment type} + - {column: J, row: 6000, expected_value: Value, label: measure} + - {column: L, row: 6001, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6002 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6002, expected_value: E12000005, label: geography} + - {column: D, row: 6002, expected_value: Females, label: sex} + - {column: E, row: 6002, expected_value: Total, label: employment type} + - {column: J, row: 6002, expected_value: Value, label: measure} + - {column: L, row: 6003, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6004 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6004, expected_value: E12000005, label: geography} + - {column: D, row: 6004, expected_value: Females, label: sex} + - {column: E, row: 6004, expected_value: Total, label: employment type} + - {column: J, row: 6004, expected_value: Value, label: measure} + - {column: L, row: 6005, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6006 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6006, expected_value: E12000005, label: geography} + - {column: D, row: 6006, expected_value: Females, label: sex} + - {column: E, row: 6006, expected_value: Total, label: employment type} + - {column: J, row: 6006, expected_value: Value, label: measure} + - {column: L, row: 6007, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6008 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6008, expected_value: E12000005, label: geography} + - {column: D, row: 6008, expected_value: Females, label: sex} + - {column: E, row: 6008, expected_value: Total, label: employment type} + - {column: J, row: 6008, expected_value: Value, label: measure} + - {column: L, row: 6009, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6010 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6010, expected_value: E12000005, label: geography} + - {column: D, row: 6010, expected_value: Females, label: sex} + - {column: E, row: 6010, expected_value: Total, label: employment type} + - {column: J, row: 6010, expected_value: Value, label: measure} + - {column: L, row: 6011, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6012 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6012, expected_value: E12000005, label: geography} + - {column: D, row: 6012, expected_value: Females, label: sex} + - {column: E, row: 6012, expected_value: Total, label: employment type} + - {column: J, row: 6012, expected_value: Value, label: measure} + - {column: L, row: 6013, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6014 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6014, expected_value: E12000005, label: geography} + - {column: D, row: 6014, expected_value: Females, label: sex} + - {column: E, row: 6014, expected_value: Total, label: employment type} + - {column: J, row: 6014, expected_value: Value, label: measure} + - {column: L, row: 6015, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6016 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6016, expected_value: E12000005, label: geography} + - {column: D, row: 6016, expected_value: Females, label: sex} + - {column: E, row: 6016, expected_value: Total, label: employment type} + - {column: J, row: 6016, expected_value: Value, label: measure} + - {column: L, row: 6017, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6018 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6018, expected_value: E12000005, label: geography} + - {column: D, row: 6018, expected_value: Females, label: sex} + - {column: E, row: 6018, expected_value: Total, label: employment type} + - {column: J, row: 6018, expected_value: Value, label: measure} + - {column: L, row: 6019, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6020 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6020, expected_value: E12000005, label: geography} + - {column: D, row: 6020, expected_value: Females, label: sex} + - {column: E, row: 6020, expected_value: Total, label: employment type} + - {column: J, row: 6020, expected_value: Value, label: measure} + - {column: L, row: 6021, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6022 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6022, expected_value: E12000005, label: geography} + - {column: D, row: 6022, expected_value: Females, label: sex} + - {column: E, row: 6022, expected_value: Total, label: employment type} + - {column: J, row: 6022, expected_value: Value, label: measure} + - {column: L, row: 6023, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6024 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6024, expected_value: E12000005, label: geography} + - {column: D, row: 6024, expected_value: Females, label: sex} + - {column: E, row: 6024, expected_value: Total, label: employment type} + - {column: J, row: 6024, expected_value: Value, label: measure} + - {column: L, row: 6025, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6026 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6026, expected_value: E12000005, label: geography} + - {column: D, row: 6026, expected_value: Females, label: sex} + - {column: E, row: 6026, expected_value: Total, label: employment type} + - {column: J, row: 6026, expected_value: Value, label: measure} + - {column: L, row: 6027, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6028 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6028, expected_value: E12000005, label: geography} + - {column: D, row: 6028, expected_value: Females, label: sex} + - {column: E, row: 6028, expected_value: Total, label: employment type} + - {column: J, row: 6028, expected_value: Value, label: measure} + - {column: L, row: 6029, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6030 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6030, expected_value: E12000005, label: geography} + - {column: D, row: 6030, expected_value: Females, label: sex} + - {column: E, row: 6030, expected_value: Total, label: employment type} + - {column: J, row: 6030, expected_value: Value, label: measure} + - {column: L, row: 6031, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6032 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6032, expected_value: E12000005, label: geography} + - {column: D, row: 6032, expected_value: Females, label: sex} + - {column: E, row: 6032, expected_value: Total, label: employment type} + - {column: J, row: 6032, expected_value: Value, label: measure} + - {column: L, row: 6033, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6034 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6034, expected_value: E12000005, label: geography} + - {column: D, row: 6034, expected_value: Females, label: sex} + - {column: E, row: 6034, expected_value: Total, label: employment type} + - {column: J, row: 6034, expected_value: Value, label: measure} + - {column: L, row: 6035, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6036 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6036, expected_value: E12000005, label: geography} + - {column: D, row: 6036, expected_value: Females, label: sex} + - {column: E, row: 6036, expected_value: Total, label: employment type} + - {column: J, row: 6036, expected_value: Value, label: measure} + - {column: L, row: 6037, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6038 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6038, expected_value: E12000005, label: geography} + - {column: D, row: 6038, expected_value: Females, label: sex} + - {column: E, row: 6038, expected_value: Total, label: employment type} + - {column: J, row: 6038, expected_value: Value, label: measure} + - {column: L, row: 6039, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6040 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6040, expected_value: E12000005, label: geography} + - {column: D, row: 6040, expected_value: Females, label: sex} + - {column: E, row: 6040, expected_value: Total, label: employment type} + - {column: J, row: 6040, expected_value: Value, label: measure} + - {column: L, row: 6041, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6042 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6042, expected_value: E12000005, label: geography} + - {column: D, row: 6042, expected_value: Females, label: sex} + - {column: E, row: 6042, expected_value: Total, label: employment type} + - {column: J, row: 6042, expected_value: Value, label: measure} + - {column: L, row: 6043, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6044 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6044, expected_value: E12000005, label: geography} + - {column: D, row: 6044, expected_value: Females, label: sex} + - {column: E, row: 6044, expected_value: Total, label: employment type} + - {column: J, row: 6044, expected_value: Value, label: measure} + - {column: L, row: 6045, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6046 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6046, expected_value: E12000005, label: geography} + - {column: D, row: 6046, expected_value: Females, label: sex} + - {column: E, row: 6046, expected_value: Total, label: employment type} + - {column: J, row: 6046, expected_value: Value, label: measure} + - {column: L, row: 6047, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6048 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6048, expected_value: E12000005, label: geography} + - {column: D, row: 6048, expected_value: Females, label: sex} + - {column: E, row: 6048, expected_value: Total, label: employment type} + - {column: J, row: 6048, expected_value: Value, label: measure} + - {column: L, row: 6049, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5979 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5979, expected_value: E12000005, label: geography} + - {column: D, row: 5979, expected_value: Females, label: sex} + - {column: E, row: 5979, expected_value: Total, label: employment type} + - {column: J, row: 5979, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5981 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5981, expected_value: E12000005, label: geography} + - {column: D, row: 5981, expected_value: Females, label: sex} + - {column: E, row: 5981, expected_value: Total, label: employment type} + - {column: J, row: 5981, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5983 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5983, expected_value: E12000005, label: geography} + - {column: D, row: 5983, expected_value: Females, label: sex} + - {column: E, row: 5983, expected_value: Total, label: employment type} + - {column: J, row: 5983, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5985 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5985, expected_value: E12000005, label: geography} + - {column: D, row: 5985, expected_value: Females, label: sex} + - {column: E, row: 5985, expected_value: Total, label: employment type} + - {column: J, row: 5985, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5987 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5987, expected_value: E12000005, label: geography} + - {column: D, row: 5987, expected_value: Females, label: sex} + - {column: E, row: 5987, expected_value: Total, label: employment type} + - {column: J, row: 5987, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5989 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5989, expected_value: E12000005, label: geography} + - {column: D, row: 5989, expected_value: Females, label: sex} + - {column: E, row: 5989, expected_value: Total, label: employment type} + - {column: J, row: 5989, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5991 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5991, expected_value: E12000005, label: geography} + - {column: D, row: 5991, expected_value: Females, label: sex} + - {column: E, row: 5991, expected_value: Total, label: employment type} + - {column: J, row: 5991, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5993 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5993, expected_value: E12000005, label: geography} + - {column: D, row: 5993, expected_value: Females, label: sex} + - {column: E, row: 5993, expected_value: Total, label: employment type} + - {column: J, row: 5993, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5995 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5995, expected_value: E12000005, label: geography} + - {column: D, row: 5995, expected_value: Females, label: sex} + - {column: E, row: 5995, expected_value: Total, label: employment type} + - {column: J, row: 5995, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5997 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5997, expected_value: E12000005, label: geography} + - {column: D, row: 5997, expected_value: Females, label: sex} + - {column: E, row: 5997, expected_value: Total, label: employment type} + - {column: J, row: 5997, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5999 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5999, expected_value: E12000005, label: geography} + - {column: D, row: 5999, expected_value: Females, label: sex} + - {column: E, row: 5999, expected_value: Total, label: employment type} + - {column: J, row: 5999, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6001 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6001, expected_value: E12000005, label: geography} + - {column: D, row: 6001, expected_value: Females, label: sex} + - {column: E, row: 6001, expected_value: Total, label: employment type} + - {column: J, row: 6001, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6003 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6003, expected_value: E12000005, label: geography} + - {column: D, row: 6003, expected_value: Females, label: sex} + - {column: E, row: 6003, expected_value: Total, label: employment type} + - {column: J, row: 6003, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6005 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6005, expected_value: E12000005, label: geography} + - {column: D, row: 6005, expected_value: Females, label: sex} + - {column: E, row: 6005, expected_value: Total, label: employment type} + - {column: J, row: 6005, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6007 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6007, expected_value: E12000005, label: geography} + - {column: D, row: 6007, expected_value: Females, label: sex} + - {column: E, row: 6007, expected_value: Total, label: employment type} + - {column: J, row: 6007, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6009 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6009, expected_value: E12000005, label: geography} + - {column: D, row: 6009, expected_value: Females, label: sex} + - {column: E, row: 6009, expected_value: Total, label: employment type} + - {column: J, row: 6009, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6011 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6011, expected_value: E12000005, label: geography} + - {column: D, row: 6011, expected_value: Females, label: sex} + - {column: E, row: 6011, expected_value: Total, label: employment type} + - {column: J, row: 6011, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6013 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6013, expected_value: E12000005, label: geography} + - {column: D, row: 6013, expected_value: Females, label: sex} + - {column: E, row: 6013, expected_value: Total, label: employment type} + - {column: J, row: 6013, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6015 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6015, expected_value: E12000005, label: geography} + - {column: D, row: 6015, expected_value: Females, label: sex} + - {column: E, row: 6015, expected_value: Total, label: employment type} + - {column: J, row: 6015, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6017 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6017, expected_value: E12000005, label: geography} + - {column: D, row: 6017, expected_value: Females, label: sex} + - {column: E, row: 6017, expected_value: Total, label: employment type} + - {column: J, row: 6017, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6023 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6023, expected_value: E12000005, label: geography} + - {column: D, row: 6023, expected_value: Females, label: sex} + - {column: E, row: 6023, expected_value: Total, label: employment type} + - {column: J, row: 6023, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6025 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6025, expected_value: E12000005, label: geography} + - {column: D, row: 6025, expected_value: Females, label: sex} + - {column: E, row: 6025, expected_value: Total, label: employment type} + - {column: J, row: 6025, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6027 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6027, expected_value: E12000005, label: geography} + - {column: D, row: 6027, expected_value: Females, label: sex} + - {column: E, row: 6027, expected_value: Total, label: employment type} + - {column: J, row: 6027, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6029 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6029, expected_value: E12000005, label: geography} + - {column: D, row: 6029, expected_value: Females, label: sex} + - {column: E, row: 6029, expected_value: Total, label: employment type} + - {column: J, row: 6029, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6033 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6033, expected_value: E12000005, label: geography} + - {column: D, row: 6033, expected_value: Females, label: sex} + - {column: E, row: 6033, expected_value: Total, label: employment type} + - {column: J, row: 6033, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6035 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6035, expected_value: E12000005, label: geography} + - {column: D, row: 6035, expected_value: Females, label: sex} + - {column: E, row: 6035, expected_value: Total, label: employment type} + - {column: J, row: 6035, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6037 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6037, expected_value: E12000005, label: geography} + - {column: D, row: 6037, expected_value: Females, label: sex} + - {column: E, row: 6037, expected_value: Total, label: employment type} + - {column: J, row: 6037, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6039 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6039, expected_value: E12000005, label: geography} + - {column: D, row: 6039, expected_value: Females, label: sex} + - {column: E, row: 6039, expected_value: Total, label: employment type} + - {column: J, row: 6039, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6041 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6041, expected_value: E12000005, label: geography} + - {column: D, row: 6041, expected_value: Females, label: sex} + - {column: E, row: 6041, expected_value: Total, label: employment type} + - {column: J, row: 6041, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6043 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6043, expected_value: E12000005, label: geography} + - {column: D, row: 6043, expected_value: Females, label: sex} + - {column: E, row: 6043, expected_value: Total, label: employment type} + - {column: J, row: 6043, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6045 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6045, expected_value: E12000005, label: geography} + - {column: D, row: 6045, expected_value: Females, label: sex} + - {column: E, row: 6045, expected_value: Total, label: employment type} + - {column: J, row: 6045, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6047 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6047, expected_value: E12000005, label: geography} + - {column: D, row: 6047, expected_value: Females, label: sex} + - {column: E, row: 6047, expected_value: Total, label: employment type} + - {column: J, row: 6047, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6049 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6049, expected_value: E12000005, label: geography} + - {column: D, row: 6049, expected_value: Females, label: sex} + - {column: E, row: 6049, expected_value: Total, label: employment type} + - {column: J, row: 6049, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6194 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6194, expected_value: E12000005, label: geography} + - {column: D, row: 6194, expected_value: Females, label: sex} + - {column: E, row: 6194, expected_value: Employee, label: employment type} + - {column: J, row: 6194, expected_value: Value, label: measure} + - {column: L, row: 6195, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6196 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6196, expected_value: E12000005, label: geography} + - {column: D, row: 6196, expected_value: Females, label: sex} + - {column: E, row: 6196, expected_value: Employee, label: employment type} + - {column: J, row: 6196, expected_value: Value, label: measure} + - {column: L, row: 6197, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6198 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6198, expected_value: E12000005, label: geography} + - {column: D, row: 6198, expected_value: Females, label: sex} + - {column: E, row: 6198, expected_value: Employee, label: employment type} + - {column: J, row: 6198, expected_value: Value, label: measure} + - {column: L, row: 6199, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6200 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6200, expected_value: E12000005, label: geography} + - {column: D, row: 6200, expected_value: Females, label: sex} + - {column: E, row: 6200, expected_value: Employee, label: employment type} + - {column: J, row: 6200, expected_value: Value, label: measure} + - {column: L, row: 6201, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6202 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6202, expected_value: E12000005, label: geography} + - {column: D, row: 6202, expected_value: Females, label: sex} + - {column: E, row: 6202, expected_value: Employee, label: employment type} + - {column: J, row: 6202, expected_value: Value, label: measure} + - {column: L, row: 6203, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6204 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6204, expected_value: E12000005, label: geography} + - {column: D, row: 6204, expected_value: Females, label: sex} + - {column: E, row: 6204, expected_value: Employee, label: employment type} + - {column: J, row: 6204, expected_value: Value, label: measure} + - {column: L, row: 6205, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6206 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6206, expected_value: E12000005, label: geography} + - {column: D, row: 6206, expected_value: Females, label: sex} + - {column: E, row: 6206, expected_value: Employee, label: employment type} + - {column: J, row: 6206, expected_value: Value, label: measure} + - {column: L, row: 6207, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6208 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6208, expected_value: E12000005, label: geography} + - {column: D, row: 6208, expected_value: Females, label: sex} + - {column: E, row: 6208, expected_value: Employee, label: employment type} + - {column: J, row: 6208, expected_value: Value, label: measure} + - {column: L, row: 6209, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6210 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6210, expected_value: E12000005, label: geography} + - {column: D, row: 6210, expected_value: Females, label: sex} + - {column: E, row: 6210, expected_value: Employee, label: employment type} + - {column: J, row: 6210, expected_value: Value, label: measure} + - {column: L, row: 6211, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6212 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6212, expected_value: E12000005, label: geography} + - {column: D, row: 6212, expected_value: Females, label: sex} + - {column: E, row: 6212, expected_value: Employee, label: employment type} + - {column: J, row: 6212, expected_value: Value, label: measure} + - {column: L, row: 6213, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6214 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6214, expected_value: E12000005, label: geography} + - {column: D, row: 6214, expected_value: Females, label: sex} + - {column: E, row: 6214, expected_value: Employee, label: employment type} + - {column: J, row: 6214, expected_value: Value, label: measure} + - {column: L, row: 6215, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6216 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6216, expected_value: E12000005, label: geography} + - {column: D, row: 6216, expected_value: Females, label: sex} + - {column: E, row: 6216, expected_value: Employee, label: employment type} + - {column: J, row: 6216, expected_value: Value, label: measure} + - {column: L, row: 6217, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6218 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6218, expected_value: E12000005, label: geography} + - {column: D, row: 6218, expected_value: Females, label: sex} + - {column: E, row: 6218, expected_value: Employee, label: employment type} + - {column: J, row: 6218, expected_value: Value, label: measure} + - {column: L, row: 6219, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6220 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6220, expected_value: E12000005, label: geography} + - {column: D, row: 6220, expected_value: Females, label: sex} + - {column: E, row: 6220, expected_value: Employee, label: employment type} + - {column: J, row: 6220, expected_value: Value, label: measure} + - {column: L, row: 6221, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6222 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6222, expected_value: E12000005, label: geography} + - {column: D, row: 6222, expected_value: Females, label: sex} + - {column: E, row: 6222, expected_value: Employee, label: employment type} + - {column: J, row: 6222, expected_value: Value, label: measure} + - {column: L, row: 6223, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6224 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6224, expected_value: E12000005, label: geography} + - {column: D, row: 6224, expected_value: Females, label: sex} + - {column: E, row: 6224, expected_value: Employee, label: employment type} + - {column: J, row: 6224, expected_value: Value, label: measure} + - {column: L, row: 6225, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6226 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6226, expected_value: E12000005, label: geography} + - {column: D, row: 6226, expected_value: Females, label: sex} + - {column: E, row: 6226, expected_value: Employee, label: employment type} + - {column: J, row: 6226, expected_value: Value, label: measure} + - {column: L, row: 6227, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6228 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6228, expected_value: E12000005, label: geography} + - {column: D, row: 6228, expected_value: Females, label: sex} + - {column: E, row: 6228, expected_value: Employee, label: employment type} + - {column: J, row: 6228, expected_value: Value, label: measure} + - {column: L, row: 6229, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6230 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6230, expected_value: E12000005, label: geography} + - {column: D, row: 6230, expected_value: Females, label: sex} + - {column: E, row: 6230, expected_value: Employee, label: employment type} + - {column: J, row: 6230, expected_value: Value, label: measure} + - {column: L, row: 6231, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6232 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6232, expected_value: E12000005, label: geography} + - {column: D, row: 6232, expected_value: Females, label: sex} + - {column: E, row: 6232, expected_value: Employee, label: employment type} + - {column: J, row: 6232, expected_value: Value, label: measure} + - {column: L, row: 6233, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6234 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6234, expected_value: E12000005, label: geography} + - {column: D, row: 6234, expected_value: Females, label: sex} + - {column: E, row: 6234, expected_value: Employee, label: employment type} + - {column: J, row: 6234, expected_value: Value, label: measure} + - {column: L, row: 6235, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6236 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6236, expected_value: E12000005, label: geography} + - {column: D, row: 6236, expected_value: Females, label: sex} + - {column: E, row: 6236, expected_value: Employee, label: employment type} + - {column: J, row: 6236, expected_value: Value, label: measure} + - {column: L, row: 6237, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6238 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6238, expected_value: E12000005, label: geography} + - {column: D, row: 6238, expected_value: Females, label: sex} + - {column: E, row: 6238, expected_value: Employee, label: employment type} + - {column: J, row: 6238, expected_value: Value, label: measure} + - {column: L, row: 6239, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6240 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6240, expected_value: E12000005, label: geography} + - {column: D, row: 6240, expected_value: Females, label: sex} + - {column: E, row: 6240, expected_value: Employee, label: employment type} + - {column: J, row: 6240, expected_value: Value, label: measure} + - {column: L, row: 6241, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6242 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6242, expected_value: E12000005, label: geography} + - {column: D, row: 6242, expected_value: Females, label: sex} + - {column: E, row: 6242, expected_value: Employee, label: employment type} + - {column: J, row: 6242, expected_value: Value, label: measure} + - {column: L, row: 6243, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6244 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6244, expected_value: E12000005, label: geography} + - {column: D, row: 6244, expected_value: Females, label: sex} + - {column: E, row: 6244, expected_value: Employee, label: employment type} + - {column: J, row: 6244, expected_value: Value, label: measure} + - {column: L, row: 6245, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6246 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6246, expected_value: E12000005, label: geography} + - {column: D, row: 6246, expected_value: Females, label: sex} + - {column: E, row: 6246, expected_value: Employee, label: employment type} + - {column: J, row: 6246, expected_value: Value, label: measure} + - {column: L, row: 6247, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6248 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6248, expected_value: E12000005, label: geography} + - {column: D, row: 6248, expected_value: Females, label: sex} + - {column: E, row: 6248, expected_value: Employee, label: employment type} + - {column: J, row: 6248, expected_value: Value, label: measure} + - {column: L, row: 6249, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6250 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6250, expected_value: E12000005, label: geography} + - {column: D, row: 6250, expected_value: Females, label: sex} + - {column: E, row: 6250, expected_value: Employee, label: employment type} + - {column: J, row: 6250, expected_value: Value, label: measure} + - {column: L, row: 6251, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6252 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6252, expected_value: E12000005, label: geography} + - {column: D, row: 6252, expected_value: Females, label: sex} + - {column: E, row: 6252, expected_value: Employee, label: employment type} + - {column: J, row: 6252, expected_value: Value, label: measure} + - {column: L, row: 6253, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6254 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6254, expected_value: E12000005, label: geography} + - {column: D, row: 6254, expected_value: Females, label: sex} + - {column: E, row: 6254, expected_value: Employee, label: employment type} + - {column: J, row: 6254, expected_value: Value, label: measure} + - {column: L, row: 6255, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6256 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6256, expected_value: E12000005, label: geography} + - {column: D, row: 6256, expected_value: Females, label: sex} + - {column: E, row: 6256, expected_value: Employee, label: employment type} + - {column: J, row: 6256, expected_value: Value, label: measure} + - {column: L, row: 6257, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6258 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6258, expected_value: E12000005, label: geography} + - {column: D, row: 6258, expected_value: Females, label: sex} + - {column: E, row: 6258, expected_value: Employee, label: employment type} + - {column: J, row: 6258, expected_value: Value, label: measure} + - {column: L, row: 6259, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6260 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6260, expected_value: E12000005, label: geography} + - {column: D, row: 6260, expected_value: Females, label: sex} + - {column: E, row: 6260, expected_value: Employee, label: employment type} + - {column: J, row: 6260, expected_value: Value, label: measure} + - {column: L, row: 6261, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6262 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6262, expected_value: E12000005, label: geography} + - {column: D, row: 6262, expected_value: Females, label: sex} + - {column: E, row: 6262, expected_value: Employee, label: employment type} + - {column: J, row: 6262, expected_value: Value, label: measure} + - {column: L, row: 6263, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6264 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6264, expected_value: E12000005, label: geography} + - {column: D, row: 6264, expected_value: Females, label: sex} + - {column: E, row: 6264, expected_value: Employee, label: employment type} + - {column: J, row: 6264, expected_value: Value, label: measure} + - {column: L, row: 6265, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6195 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6195, expected_value: E12000005, label: geography} + - {column: D, row: 6195, expected_value: Females, label: sex} + - {column: E, row: 6195, expected_value: Employee, label: employment type} + - {column: J, row: 6195, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6197 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6197, expected_value: E12000005, label: geography} + - {column: D, row: 6197, expected_value: Females, label: sex} + - {column: E, row: 6197, expected_value: Employee, label: employment type} + - {column: J, row: 6197, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6199 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6199, expected_value: E12000005, label: geography} + - {column: D, row: 6199, expected_value: Females, label: sex} + - {column: E, row: 6199, expected_value: Employee, label: employment type} + - {column: J, row: 6199, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6201 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6201, expected_value: E12000005, label: geography} + - {column: D, row: 6201, expected_value: Females, label: sex} + - {column: E, row: 6201, expected_value: Employee, label: employment type} + - {column: J, row: 6201, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6203 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6203, expected_value: E12000005, label: geography} + - {column: D, row: 6203, expected_value: Females, label: sex} + - {column: E, row: 6203, expected_value: Employee, label: employment type} + - {column: J, row: 6203, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6205 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6205, expected_value: E12000005, label: geography} + - {column: D, row: 6205, expected_value: Females, label: sex} + - {column: E, row: 6205, expected_value: Employee, label: employment type} + - {column: J, row: 6205, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6207 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6207, expected_value: E12000005, label: geography} + - {column: D, row: 6207, expected_value: Females, label: sex} + - {column: E, row: 6207, expected_value: Employee, label: employment type} + - {column: J, row: 6207, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6209 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6209, expected_value: E12000005, label: geography} + - {column: D, row: 6209, expected_value: Females, label: sex} + - {column: E, row: 6209, expected_value: Employee, label: employment type} + - {column: J, row: 6209, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6211 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6211, expected_value: E12000005, label: geography} + - {column: D, row: 6211, expected_value: Females, label: sex} + - {column: E, row: 6211, expected_value: Employee, label: employment type} + - {column: J, row: 6211, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6213 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6213, expected_value: E12000005, label: geography} + - {column: D, row: 6213, expected_value: Females, label: sex} + - {column: E, row: 6213, expected_value: Employee, label: employment type} + - {column: J, row: 6213, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6215 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6215, expected_value: E12000005, label: geography} + - {column: D, row: 6215, expected_value: Females, label: sex} + - {column: E, row: 6215, expected_value: Employee, label: employment type} + - {column: J, row: 6215, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6217 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6217, expected_value: E12000005, label: geography} + - {column: D, row: 6217, expected_value: Females, label: sex} + - {column: E, row: 6217, expected_value: Employee, label: employment type} + - {column: J, row: 6217, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6219 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6219, expected_value: E12000005, label: geography} + - {column: D, row: 6219, expected_value: Females, label: sex} + - {column: E, row: 6219, expected_value: Employee, label: employment type} + - {column: J, row: 6219, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6221 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6221, expected_value: E12000005, label: geography} + - {column: D, row: 6221, expected_value: Females, label: sex} + - {column: E, row: 6221, expected_value: Employee, label: employment type} + - {column: J, row: 6221, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6223 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6223, expected_value: E12000005, label: geography} + - {column: D, row: 6223, expected_value: Females, label: sex} + - {column: E, row: 6223, expected_value: Employee, label: employment type} + - {column: J, row: 6223, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6225 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6225, expected_value: E12000005, label: geography} + - {column: D, row: 6225, expected_value: Females, label: sex} + - {column: E, row: 6225, expected_value: Employee, label: employment type} + - {column: J, row: 6225, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6227 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6227, expected_value: E12000005, label: geography} + - {column: D, row: 6227, expected_value: Females, label: sex} + - {column: E, row: 6227, expected_value: Employee, label: employment type} + - {column: J, row: 6227, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6229 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6229, expected_value: E12000005, label: geography} + - {column: D, row: 6229, expected_value: Females, label: sex} + - {column: E, row: 6229, expected_value: Employee, label: employment type} + - {column: J, row: 6229, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6231 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6231, expected_value: E12000005, label: geography} + - {column: D, row: 6231, expected_value: Females, label: sex} + - {column: E, row: 6231, expected_value: Employee, label: employment type} + - {column: J, row: 6231, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6239 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6239, expected_value: E12000005, label: geography} + - {column: D, row: 6239, expected_value: Females, label: sex} + - {column: E, row: 6239, expected_value: Employee, label: employment type} + - {column: J, row: 6239, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6241 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6241, expected_value: E12000005, label: geography} + - {column: D, row: 6241, expected_value: Females, label: sex} + - {column: E, row: 6241, expected_value: Employee, label: employment type} + - {column: J, row: 6241, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6243 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6243, expected_value: E12000005, label: geography} + - {column: D, row: 6243, expected_value: Females, label: sex} + - {column: E, row: 6243, expected_value: Employee, label: employment type} + - {column: J, row: 6243, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6245 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6245, expected_value: E12000005, label: geography} + - {column: D, row: 6245, expected_value: Females, label: sex} + - {column: E, row: 6245, expected_value: Employee, label: employment type} + - {column: J, row: 6245, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6249 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6249, expected_value: E12000005, label: geography} + - {column: D, row: 6249, expected_value: Females, label: sex} + - {column: E, row: 6249, expected_value: Employee, label: employment type} + - {column: J, row: 6249, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6251 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6251, expected_value: E12000005, label: geography} + - {column: D, row: 6251, expected_value: Females, label: sex} + - {column: E, row: 6251, expected_value: Employee, label: employment type} + - {column: J, row: 6251, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6253 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6253, expected_value: E12000005, label: geography} + - {column: D, row: 6253, expected_value: Females, label: sex} + - {column: E, row: 6253, expected_value: Employee, label: employment type} + - {column: J, row: 6253, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6255 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6255, expected_value: E12000005, label: geography} + - {column: D, row: 6255, expected_value: Females, label: sex} + - {column: E, row: 6255, expected_value: Employee, label: employment type} + - {column: J, row: 6255, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6257 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6257, expected_value: E12000005, label: geography} + - {column: D, row: 6257, expected_value: Females, label: sex} + - {column: E, row: 6257, expected_value: Employee, label: employment type} + - {column: J, row: 6257, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6259 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6259, expected_value: E12000005, label: geography} + - {column: D, row: 6259, expected_value: Females, label: sex} + - {column: E, row: 6259, expected_value: Employee, label: employment type} + - {column: J, row: 6259, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6261 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6261, expected_value: E12000005, label: geography} + - {column: D, row: 6261, expected_value: Females, label: sex} + - {column: E, row: 6261, expected_value: Employee, label: employment type} + - {column: J, row: 6261, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6263 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6263, expected_value: E12000005, label: geography} + - {column: D, row: 6263, expected_value: Females, label: sex} + - {column: E, row: 6263, expected_value: Employee, label: employment type} + - {column: J, row: 6263, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6265 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6265, expected_value: E12000005, label: geography} + - {column: D, row: 6265, expected_value: Females, label: sex} + - {column: E, row: 6265, expected_value: Employee, label: employment type} + - {column: J, row: 6265, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6410 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6410, expected_value: E12000005, label: geography} + - {column: D, row: 6410, expected_value: Females, label: sex} + - {column: E, row: 6410, expected_value: Self-employed, label: employment type} + - {column: J, row: 6410, expected_value: Value, label: measure} + - {column: L, row: 6411, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6412 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6412, expected_value: E12000005, label: geography} + - {column: D, row: 6412, expected_value: Females, label: sex} + - {column: E, row: 6412, expected_value: Self-employed, label: employment type} + - {column: J, row: 6412, expected_value: Value, label: measure} + - {column: L, row: 6413, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6414 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6414, expected_value: E12000005, label: geography} + - {column: D, row: 6414, expected_value: Females, label: sex} + - {column: E, row: 6414, expected_value: Self-employed, label: employment type} + - {column: J, row: 6414, expected_value: Value, label: measure} + - {column: L, row: 6415, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6416 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6416, expected_value: E12000005, label: geography} + - {column: D, row: 6416, expected_value: Females, label: sex} + - {column: E, row: 6416, expected_value: Self-employed, label: employment type} + - {column: J, row: 6416, expected_value: Value, label: measure} + - {column: L, row: 6417, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6418 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6418, expected_value: E12000005, label: geography} + - {column: D, row: 6418, expected_value: Females, label: sex} + - {column: E, row: 6418, expected_value: Self-employed, label: employment type} + - {column: J, row: 6418, expected_value: Value, label: measure} + - {column: L, row: 6419, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6420 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6420, expected_value: E12000005, label: geography} + - {column: D, row: 6420, expected_value: Females, label: sex} + - {column: E, row: 6420, expected_value: Self-employed, label: employment type} + - {column: J, row: 6420, expected_value: Value, label: measure} + - {column: L, row: 6421, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6422 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6422, expected_value: E12000005, label: geography} + - {column: D, row: 6422, expected_value: Females, label: sex} + - {column: E, row: 6422, expected_value: Self-employed, label: employment type} + - {column: J, row: 6422, expected_value: Value, label: measure} + - {column: L, row: 6423, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6424 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6424, expected_value: E12000005, label: geography} + - {column: D, row: 6424, expected_value: Females, label: sex} + - {column: E, row: 6424, expected_value: Self-employed, label: employment type} + - {column: J, row: 6424, expected_value: Value, label: measure} + - {column: L, row: 6425, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6426 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6426, expected_value: E12000005, label: geography} + - {column: D, row: 6426, expected_value: Females, label: sex} + - {column: E, row: 6426, expected_value: Self-employed, label: employment type} + - {column: J, row: 6426, expected_value: Value, label: measure} + - {column: L, row: 6427, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6428 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6428, expected_value: E12000005, label: geography} + - {column: D, row: 6428, expected_value: Females, label: sex} + - {column: E, row: 6428, expected_value: Self-employed, label: employment type} + - {column: J, row: 6428, expected_value: Value, label: measure} + - {column: L, row: 6429, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6432 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6432, expected_value: E12000005, label: geography} + - {column: D, row: 6432, expected_value: Females, label: sex} + - {column: E, row: 6432, expected_value: Self-employed, label: employment type} + - {column: J, row: 6432, expected_value: Value, label: measure} + - {column: L, row: 6433, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6436 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6436, expected_value: E12000005, label: geography} + - {column: D, row: 6436, expected_value: Females, label: sex} + - {column: E, row: 6436, expected_value: Self-employed, label: employment type} + - {column: J, row: 6436, expected_value: Value, label: measure} + - {column: L, row: 6437, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6438 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6438, expected_value: E12000005, label: geography} + - {column: D, row: 6438, expected_value: Females, label: sex} + - {column: E, row: 6438, expected_value: Self-employed, label: employment type} + - {column: J, row: 6438, expected_value: Value, label: measure} + - {column: L, row: 6439, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6440 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6440, expected_value: E12000005, label: geography} + - {column: D, row: 6440, expected_value: Females, label: sex} + - {column: E, row: 6440, expected_value: Self-employed, label: employment type} + - {column: J, row: 6440, expected_value: Value, label: measure} + - {column: L, row: 6441, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6442 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6442, expected_value: E12000005, label: geography} + - {column: D, row: 6442, expected_value: Females, label: sex} + - {column: E, row: 6442, expected_value: Self-employed, label: employment type} + - {column: J, row: 6442, expected_value: Value, label: measure} + - {column: L, row: 6443, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6444 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6444, expected_value: E12000005, label: geography} + - {column: D, row: 6444, expected_value: Females, label: sex} + - {column: E, row: 6444, expected_value: Self-employed, label: employment type} + - {column: J, row: 6444, expected_value: Value, label: measure} + - {column: L, row: 6445, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6446 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6446, expected_value: E12000005, label: geography} + - {column: D, row: 6446, expected_value: Females, label: sex} + - {column: E, row: 6446, expected_value: Self-employed, label: employment type} + - {column: J, row: 6446, expected_value: Value, label: measure} + - {column: L, row: 6447, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6448 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6448, expected_value: E12000005, label: geography} + - {column: D, row: 6448, expected_value: Females, label: sex} + - {column: E, row: 6448, expected_value: Self-employed, label: employment type} + - {column: J, row: 6448, expected_value: Value, label: measure} + - {column: L, row: 6449, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6452 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6452, expected_value: E12000005, label: geography} + - {column: D, row: 6452, expected_value: Females, label: sex} + - {column: E, row: 6452, expected_value: Self-employed, label: employment type} + - {column: J, row: 6452, expected_value: Value, label: measure} + - {column: L, row: 6453, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6454 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6454, expected_value: E12000005, label: geography} + - {column: D, row: 6454, expected_value: Females, label: sex} + - {column: E, row: 6454, expected_value: Self-employed, label: employment type} + - {column: J, row: 6454, expected_value: Value, label: measure} + - {column: L, row: 6455, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6456 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6456, expected_value: E12000005, label: geography} + - {column: D, row: 6456, expected_value: Females, label: sex} + - {column: E, row: 6456, expected_value: Self-employed, label: employment type} + - {column: J, row: 6456, expected_value: Value, label: measure} + - {column: L, row: 6457, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6458 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6458, expected_value: E12000005, label: geography} + - {column: D, row: 6458, expected_value: Females, label: sex} + - {column: E, row: 6458, expected_value: Self-employed, label: employment type} + - {column: J, row: 6458, expected_value: Value, label: measure} + - {column: L, row: 6459, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6460 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6460, expected_value: E12000005, label: geography} + - {column: D, row: 6460, expected_value: Females, label: sex} + - {column: E, row: 6460, expected_value: Self-employed, label: employment type} + - {column: J, row: 6460, expected_value: Value, label: measure} + - {column: L, row: 6461, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6464 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6464, expected_value: E12000005, label: geography} + - {column: D, row: 6464, expected_value: Females, label: sex} + - {column: E, row: 6464, expected_value: Self-employed, label: employment type} + - {column: J, row: 6464, expected_value: Value, label: measure} + - {column: L, row: 6465, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6466 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6466, expected_value: E12000005, label: geography} + - {column: D, row: 6466, expected_value: Females, label: sex} + - {column: E, row: 6466, expected_value: Self-employed, label: employment type} + - {column: J, row: 6466, expected_value: Value, label: measure} + - {column: L, row: 6467, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6470 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6470, expected_value: E12000005, label: geography} + - {column: D, row: 6470, expected_value: Females, label: sex} + - {column: E, row: 6470, expected_value: Self-employed, label: employment type} + - {column: J, row: 6470, expected_value: Value, label: measure} + - {column: L, row: 6471, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6472 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6472, expected_value: E12000005, label: geography} + - {column: D, row: 6472, expected_value: Females, label: sex} + - {column: E, row: 6472, expected_value: Self-employed, label: employment type} + - {column: J, row: 6472, expected_value: Value, label: measure} + - {column: L, row: 6473, expected_value: F, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6474 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6474, expected_value: E12000005, label: geography} + - {column: D, row: 6474, expected_value: Females, label: sex} + - {column: E, row: 6474, expected_value: Self-employed, label: employment type} + - {column: J, row: 6474, expected_value: Value, label: measure} + - {column: L, row: 6475, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6476 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6476, expected_value: E12000005, label: geography} + - {column: D, row: 6476, expected_value: Females, label: sex} + - {column: E, row: 6476, expected_value: Self-employed, label: employment type} + - {column: J, row: 6476, expected_value: Value, label: measure} + - {column: L, row: 6477, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6480 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6480, expected_value: E12000005, label: geography} + - {column: D, row: 6480, expected_value: Females, label: sex} + - {column: E, row: 6480, expected_value: Self-employed, label: employment type} + - {column: J, row: 6480, expected_value: Value, label: measure} + - {column: L, row: 6481, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000005.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6411 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6411, expected_value: E12000005, label: geography} + - {column: D, row: 6411, expected_value: Females, label: sex} + - {column: E, row: 6411, expected_value: Self-employed, label: employment type} + - {column: J, row: 6411, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6413 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6413, expected_value: E12000005, label: geography} + - {column: D, row: 6413, expected_value: Females, label: sex} + - {column: E, row: 6413, expected_value: Self-employed, label: employment type} + - {column: J, row: 6413, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6415 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6415, expected_value: E12000005, label: geography} + - {column: D, row: 6415, expected_value: Females, label: sex} + - {column: E, row: 6415, expected_value: Self-employed, label: employment type} + - {column: J, row: 6415, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6417 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6417, expected_value: E12000005, label: geography} + - {column: D, row: 6417, expected_value: Females, label: sex} + - {column: E, row: 6417, expected_value: Self-employed, label: employment type} + - {column: J, row: 6417, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6419 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6419, expected_value: E12000005, label: geography} + - {column: D, row: 6419, expected_value: Females, label: sex} + - {column: E, row: 6419, expected_value: Self-employed, label: employment type} + - {column: J, row: 6419, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6423 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6423, expected_value: E12000005, label: geography} + - {column: D, row: 6423, expected_value: Females, label: sex} + - {column: E, row: 6423, expected_value: Self-employed, label: employment type} + - {column: J, row: 6423, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6425 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6425, expected_value: E12000005, label: geography} + - {column: D, row: 6425, expected_value: Females, label: sex} + - {column: E, row: 6425, expected_value: Self-employed, label: employment type} + - {column: J, row: 6425, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6427 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6427, expected_value: E12000005, label: geography} + - {column: D, row: 6427, expected_value: Females, label: sex} + - {column: E, row: 6427, expected_value: Self-employed, label: employment type} + - {column: J, row: 6427, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6429 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6429, expected_value: E12000005, label: geography} + - {column: D, row: 6429, expected_value: Females, label: sex} + - {column: E, row: 6429, expected_value: Self-employed, label: employment type} + - {column: J, row: 6429, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6433 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6433, expected_value: E12000005, label: geography} + - {column: D, row: 6433, expected_value: Females, label: sex} + - {column: E, row: 6433, expected_value: Self-employed, label: employment type} + - {column: J, row: 6433, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6437 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6437, expected_value: E12000005, label: geography} + - {column: D, row: 6437, expected_value: Females, label: sex} + - {column: E, row: 6437, expected_value: Self-employed, label: employment type} + - {column: J, row: 6437, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6439 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6439, expected_value: E12000005, label: geography} + - {column: D, row: 6439, expected_value: Females, label: sex} + - {column: E, row: 6439, expected_value: Self-employed, label: employment type} + - {column: J, row: 6439, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6441 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6441, expected_value: E12000005, label: geography} + - {column: D, row: 6441, expected_value: Females, label: sex} + - {column: E, row: 6441, expected_value: Self-employed, label: employment type} + - {column: J, row: 6441, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6443 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6443, expected_value: E12000005, label: geography} + - {column: D, row: 6443, expected_value: Females, label: sex} + - {column: E, row: 6443, expected_value: Self-employed, label: employment type} + - {column: J, row: 6443, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6447 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6447, expected_value: E12000005, label: geography} + - {column: D, row: 6447, expected_value: Females, label: sex} + - {column: E, row: 6447, expected_value: Self-employed, label: employment type} + - {column: J, row: 6447, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6449 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6449, expected_value: E12000005, label: geography} + - {column: D, row: 6449, expected_value: Females, label: sex} + - {column: E, row: 6449, expected_value: Self-employed, label: employment type} + - {column: J, row: 6449, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6455 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6455, expected_value: E12000005, label: geography} + - {column: D, row: 6455, expected_value: Females, label: sex} + - {column: E, row: 6455, expected_value: Self-employed, label: employment type} + - {column: J, row: 6455, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6457 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6457, expected_value: E12000005, label: geography} + - {column: D, row: 6457, expected_value: Females, label: sex} + - {column: E, row: 6457, expected_value: Self-employed, label: employment type} + - {column: J, row: 6457, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6459 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6459, expected_value: E12000005, label: geography} + - {column: D, row: 6459, expected_value: Females, label: sex} + - {column: E, row: 6459, expected_value: Self-employed, label: employment type} + - {column: J, row: 6459, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6461 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6461, expected_value: E12000005, label: geography} + - {column: D, row: 6461, expected_value: Females, label: sex} + - {column: E, row: 6461, expected_value: Self-employed, label: employment type} + - {column: J, row: 6461, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6465 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6465, expected_value: E12000005, label: geography} + - {column: D, row: 6465, expected_value: Females, label: sex} + - {column: E, row: 6465, expected_value: Self-employed, label: employment type} + - {column: J, row: 6465, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6467 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6467, expected_value: E12000005, label: geography} + - {column: D, row: 6467, expected_value: Females, label: sex} + - {column: E, row: 6467, expected_value: Self-employed, label: employment type} + - {column: J, row: 6467, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6471 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6471, expected_value: E12000005, label: geography} + - {column: D, row: 6471, expected_value: Females, label: sex} + - {column: E, row: 6471, expected_value: Self-employed, label: employment type} + - {column: J, row: 6471, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6477 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6477, expected_value: E12000005, label: geography} + - {column: D, row: 6477, expected_value: Females, label: sex} + - {column: E, row: 6477, expected_value: Self-employed, label: employment type} + - {column: J, row: 6477, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6481 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6481, expected_value: E12000005, label: geography} + - {column: D, row: 6481, expected_value: Females, label: sex} + - {column: E, row: 6481, expected_value: Self-employed, label: employment type} + - {column: J, row: 6481, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6482 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6482, expected_value: E12000006, label: geography} + - {column: D, row: 6482, expected_value: All persons, label: sex} + - {column: E, row: 6482, expected_value: Total, label: employment type} + - {column: J, row: 6482, expected_value: Value, label: measure} + - {column: L, row: 6483, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6484 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6484, expected_value: E12000006, label: geography} + - {column: D, row: 6484, expected_value: All persons, label: sex} + - {column: E, row: 6484, expected_value: Total, label: employment type} + - {column: J, row: 6484, expected_value: Value, label: measure} + - {column: L, row: 6485, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6486 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6486, expected_value: E12000006, label: geography} + - {column: D, row: 6486, expected_value: All persons, label: sex} + - {column: E, row: 6486, expected_value: Total, label: employment type} + - {column: J, row: 6486, expected_value: Value, label: measure} + - {column: L, row: 6487, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6488 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6488, expected_value: E12000006, label: geography} + - {column: D, row: 6488, expected_value: All persons, label: sex} + - {column: E, row: 6488, expected_value: Total, label: employment type} + - {column: J, row: 6488, expected_value: Value, label: measure} + - {column: L, row: 6489, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6490 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6490, expected_value: E12000006, label: geography} + - {column: D, row: 6490, expected_value: All persons, label: sex} + - {column: E, row: 6490, expected_value: Total, label: employment type} + - {column: J, row: 6490, expected_value: Value, label: measure} + - {column: L, row: 6491, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6492 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6492, expected_value: E12000006, label: geography} + - {column: D, row: 6492, expected_value: All persons, label: sex} + - {column: E, row: 6492, expected_value: Total, label: employment type} + - {column: J, row: 6492, expected_value: Value, label: measure} + - {column: L, row: 6493, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6494 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6494, expected_value: E12000006, label: geography} + - {column: D, row: 6494, expected_value: All persons, label: sex} + - {column: E, row: 6494, expected_value: Total, label: employment type} + - {column: J, row: 6494, expected_value: Value, label: measure} + - {column: L, row: 6495, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6496 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6496, expected_value: E12000006, label: geography} + - {column: D, row: 6496, expected_value: All persons, label: sex} + - {column: E, row: 6496, expected_value: Total, label: employment type} + - {column: J, row: 6496, expected_value: Value, label: measure} + - {column: L, row: 6497, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6498 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6498, expected_value: E12000006, label: geography} + - {column: D, row: 6498, expected_value: All persons, label: sex} + - {column: E, row: 6498, expected_value: Total, label: employment type} + - {column: J, row: 6498, expected_value: Value, label: measure} + - {column: L, row: 6499, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6500 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6500, expected_value: E12000006, label: geography} + - {column: D, row: 6500, expected_value: All persons, label: sex} + - {column: E, row: 6500, expected_value: Total, label: employment type} + - {column: J, row: 6500, expected_value: Value, label: measure} + - {column: L, row: 6501, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6502 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6502, expected_value: E12000006, label: geography} + - {column: D, row: 6502, expected_value: All persons, label: sex} + - {column: E, row: 6502, expected_value: Total, label: employment type} + - {column: J, row: 6502, expected_value: Value, label: measure} + - {column: L, row: 6503, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6504 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6504, expected_value: E12000006, label: geography} + - {column: D, row: 6504, expected_value: All persons, label: sex} + - {column: E, row: 6504, expected_value: Total, label: employment type} + - {column: J, row: 6504, expected_value: Value, label: measure} + - {column: L, row: 6505, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6506 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6506, expected_value: E12000006, label: geography} + - {column: D, row: 6506, expected_value: All persons, label: sex} + - {column: E, row: 6506, expected_value: Total, label: employment type} + - {column: J, row: 6506, expected_value: Value, label: measure} + - {column: L, row: 6507, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6508 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6508, expected_value: E12000006, label: geography} + - {column: D, row: 6508, expected_value: All persons, label: sex} + - {column: E, row: 6508, expected_value: Total, label: employment type} + - {column: J, row: 6508, expected_value: Value, label: measure} + - {column: L, row: 6509, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6510 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6510, expected_value: E12000006, label: geography} + - {column: D, row: 6510, expected_value: All persons, label: sex} + - {column: E, row: 6510, expected_value: Total, label: employment type} + - {column: J, row: 6510, expected_value: Value, label: measure} + - {column: L, row: 6511, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6512 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6512, expected_value: E12000006, label: geography} + - {column: D, row: 6512, expected_value: All persons, label: sex} + - {column: E, row: 6512, expected_value: Total, label: employment type} + - {column: J, row: 6512, expected_value: Value, label: measure} + - {column: L, row: 6513, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6514 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6514, expected_value: E12000006, label: geography} + - {column: D, row: 6514, expected_value: All persons, label: sex} + - {column: E, row: 6514, expected_value: Total, label: employment type} + - {column: J, row: 6514, expected_value: Value, label: measure} + - {column: L, row: 6515, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6516 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6516, expected_value: E12000006, label: geography} + - {column: D, row: 6516, expected_value: All persons, label: sex} + - {column: E, row: 6516, expected_value: Total, label: employment type} + - {column: J, row: 6516, expected_value: Value, label: measure} + - {column: L, row: 6517, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6518 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6518, expected_value: E12000006, label: geography} + - {column: D, row: 6518, expected_value: All persons, label: sex} + - {column: E, row: 6518, expected_value: Total, label: employment type} + - {column: J, row: 6518, expected_value: Value, label: measure} + - {column: L, row: 6519, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6520 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6520, expected_value: E12000006, label: geography} + - {column: D, row: 6520, expected_value: All persons, label: sex} + - {column: E, row: 6520, expected_value: Total, label: employment type} + - {column: J, row: 6520, expected_value: Value, label: measure} + - {column: L, row: 6521, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6522 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6522, expected_value: E12000006, label: geography} + - {column: D, row: 6522, expected_value: All persons, label: sex} + - {column: E, row: 6522, expected_value: Total, label: employment type} + - {column: J, row: 6522, expected_value: Value, label: measure} + - {column: L, row: 6523, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6524 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6524, expected_value: E12000006, label: geography} + - {column: D, row: 6524, expected_value: All persons, label: sex} + - {column: E, row: 6524, expected_value: Total, label: employment type} + - {column: J, row: 6524, expected_value: Value, label: measure} + - {column: L, row: 6525, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6526 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6526, expected_value: E12000006, label: geography} + - {column: D, row: 6526, expected_value: All persons, label: sex} + - {column: E, row: 6526, expected_value: Total, label: employment type} + - {column: J, row: 6526, expected_value: Value, label: measure} + - {column: L, row: 6527, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6528 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6528, expected_value: E12000006, label: geography} + - {column: D, row: 6528, expected_value: All persons, label: sex} + - {column: E, row: 6528, expected_value: Total, label: employment type} + - {column: J, row: 6528, expected_value: Value, label: measure} + - {column: L, row: 6529, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6530 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6530, expected_value: E12000006, label: geography} + - {column: D, row: 6530, expected_value: All persons, label: sex} + - {column: E, row: 6530, expected_value: Total, label: employment type} + - {column: J, row: 6530, expected_value: Value, label: measure} + - {column: L, row: 6531, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6532 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6532, expected_value: E12000006, label: geography} + - {column: D, row: 6532, expected_value: All persons, label: sex} + - {column: E, row: 6532, expected_value: Total, label: employment type} + - {column: J, row: 6532, expected_value: Value, label: measure} + - {column: L, row: 6533, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6534 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6534, expected_value: E12000006, label: geography} + - {column: D, row: 6534, expected_value: All persons, label: sex} + - {column: E, row: 6534, expected_value: Total, label: employment type} + - {column: J, row: 6534, expected_value: Value, label: measure} + - {column: L, row: 6535, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6536 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6536, expected_value: E12000006, label: geography} + - {column: D, row: 6536, expected_value: All persons, label: sex} + - {column: E, row: 6536, expected_value: Total, label: employment type} + - {column: J, row: 6536, expected_value: Value, label: measure} + - {column: L, row: 6537, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6538 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6538, expected_value: E12000006, label: geography} + - {column: D, row: 6538, expected_value: All persons, label: sex} + - {column: E, row: 6538, expected_value: Total, label: employment type} + - {column: J, row: 6538, expected_value: Value, label: measure} + - {column: L, row: 6539, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6540 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6540, expected_value: E12000006, label: geography} + - {column: D, row: 6540, expected_value: All persons, label: sex} + - {column: E, row: 6540, expected_value: Total, label: employment type} + - {column: J, row: 6540, expected_value: Value, label: measure} + - {column: L, row: 6541, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6542 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6542, expected_value: E12000006, label: geography} + - {column: D, row: 6542, expected_value: All persons, label: sex} + - {column: E, row: 6542, expected_value: Total, label: employment type} + - {column: J, row: 6542, expected_value: Value, label: measure} + - {column: L, row: 6543, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6544 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6544, expected_value: E12000006, label: geography} + - {column: D, row: 6544, expected_value: All persons, label: sex} + - {column: E, row: 6544, expected_value: Total, label: employment type} + - {column: J, row: 6544, expected_value: Value, label: measure} + - {column: L, row: 6545, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6546 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6546, expected_value: E12000006, label: geography} + - {column: D, row: 6546, expected_value: All persons, label: sex} + - {column: E, row: 6546, expected_value: Total, label: employment type} + - {column: J, row: 6546, expected_value: Value, label: measure} + - {column: L, row: 6547, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6548 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6548, expected_value: E12000006, label: geography} + - {column: D, row: 6548, expected_value: All persons, label: sex} + - {column: E, row: 6548, expected_value: Total, label: employment type} + - {column: J, row: 6548, expected_value: Value, label: measure} + - {column: L, row: 6549, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6550 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6550, expected_value: E12000006, label: geography} + - {column: D, row: 6550, expected_value: All persons, label: sex} + - {column: E, row: 6550, expected_value: Total, label: employment type} + - {column: J, row: 6550, expected_value: Value, label: measure} + - {column: L, row: 6551, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6552 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6552, expected_value: E12000006, label: geography} + - {column: D, row: 6552, expected_value: All persons, label: sex} + - {column: E, row: 6552, expected_value: Total, label: employment type} + - {column: J, row: 6552, expected_value: Value, label: measure} + - {column: L, row: 6553, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6483 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6483, expected_value: E12000006, label: geography} + - {column: D, row: 6483, expected_value: All persons, label: sex} + - {column: E, row: 6483, expected_value: Total, label: employment type} + - {column: J, row: 6483, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6485 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6485, expected_value: E12000006, label: geography} + - {column: D, row: 6485, expected_value: All persons, label: sex} + - {column: E, row: 6485, expected_value: Total, label: employment type} + - {column: J, row: 6485, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6487 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6487, expected_value: E12000006, label: geography} + - {column: D, row: 6487, expected_value: All persons, label: sex} + - {column: E, row: 6487, expected_value: Total, label: employment type} + - {column: J, row: 6487, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6489 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6489, expected_value: E12000006, label: geography} + - {column: D, row: 6489, expected_value: All persons, label: sex} + - {column: E, row: 6489, expected_value: Total, label: employment type} + - {column: J, row: 6489, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6491 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6491, expected_value: E12000006, label: geography} + - {column: D, row: 6491, expected_value: All persons, label: sex} + - {column: E, row: 6491, expected_value: Total, label: employment type} + - {column: J, row: 6491, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6493 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6493, expected_value: E12000006, label: geography} + - {column: D, row: 6493, expected_value: All persons, label: sex} + - {column: E, row: 6493, expected_value: Total, label: employment type} + - {column: J, row: 6493, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6495 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6495, expected_value: E12000006, label: geography} + - {column: D, row: 6495, expected_value: All persons, label: sex} + - {column: E, row: 6495, expected_value: Total, label: employment type} + - {column: J, row: 6495, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6497 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6497, expected_value: E12000006, label: geography} + - {column: D, row: 6497, expected_value: All persons, label: sex} + - {column: E, row: 6497, expected_value: Total, label: employment type} + - {column: J, row: 6497, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6499 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6499, expected_value: E12000006, label: geography} + - {column: D, row: 6499, expected_value: All persons, label: sex} + - {column: E, row: 6499, expected_value: Total, label: employment type} + - {column: J, row: 6499, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6501 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6501, expected_value: E12000006, label: geography} + - {column: D, row: 6501, expected_value: All persons, label: sex} + - {column: E, row: 6501, expected_value: Total, label: employment type} + - {column: J, row: 6501, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6503 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6503, expected_value: E12000006, label: geography} + - {column: D, row: 6503, expected_value: All persons, label: sex} + - {column: E, row: 6503, expected_value: Total, label: employment type} + - {column: J, row: 6503, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6505 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6505, expected_value: E12000006, label: geography} + - {column: D, row: 6505, expected_value: All persons, label: sex} + - {column: E, row: 6505, expected_value: Total, label: employment type} + - {column: J, row: 6505, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6507 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6507, expected_value: E12000006, label: geography} + - {column: D, row: 6507, expected_value: All persons, label: sex} + - {column: E, row: 6507, expected_value: Total, label: employment type} + - {column: J, row: 6507, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6509 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6509, expected_value: E12000006, label: geography} + - {column: D, row: 6509, expected_value: All persons, label: sex} + - {column: E, row: 6509, expected_value: Total, label: employment type} + - {column: J, row: 6509, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6511 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6511, expected_value: E12000006, label: geography} + - {column: D, row: 6511, expected_value: All persons, label: sex} + - {column: E, row: 6511, expected_value: Total, label: employment type} + - {column: J, row: 6511, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6513 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6513, expected_value: E12000006, label: geography} + - {column: D, row: 6513, expected_value: All persons, label: sex} + - {column: E, row: 6513, expected_value: Total, label: employment type} + - {column: J, row: 6513, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6515 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6515, expected_value: E12000006, label: geography} + - {column: D, row: 6515, expected_value: All persons, label: sex} + - {column: E, row: 6515, expected_value: Total, label: employment type} + - {column: J, row: 6515, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6517 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6517, expected_value: E12000006, label: geography} + - {column: D, row: 6517, expected_value: All persons, label: sex} + - {column: E, row: 6517, expected_value: Total, label: employment type} + - {column: J, row: 6517, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6519 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6519, expected_value: E12000006, label: geography} + - {column: D, row: 6519, expected_value: All persons, label: sex} + - {column: E, row: 6519, expected_value: Total, label: employment type} + - {column: J, row: 6519, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6521 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6521, expected_value: E12000006, label: geography} + - {column: D, row: 6521, expected_value: All persons, label: sex} + - {column: E, row: 6521, expected_value: Total, label: employment type} + - {column: J, row: 6521, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6523 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6523, expected_value: E12000006, label: geography} + - {column: D, row: 6523, expected_value: All persons, label: sex} + - {column: E, row: 6523, expected_value: Total, label: employment type} + - {column: J, row: 6523, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6525 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6525, expected_value: E12000006, label: geography} + - {column: D, row: 6525, expected_value: All persons, label: sex} + - {column: E, row: 6525, expected_value: Total, label: employment type} + - {column: J, row: 6525, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6527 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6527, expected_value: E12000006, label: geography} + - {column: D, row: 6527, expected_value: All persons, label: sex} + - {column: E, row: 6527, expected_value: Total, label: employment type} + - {column: J, row: 6527, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6529 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6529, expected_value: E12000006, label: geography} + - {column: D, row: 6529, expected_value: All persons, label: sex} + - {column: E, row: 6529, expected_value: Total, label: employment type} + - {column: J, row: 6529, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6531 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6531, expected_value: E12000006, label: geography} + - {column: D, row: 6531, expected_value: All persons, label: sex} + - {column: E, row: 6531, expected_value: Total, label: employment type} + - {column: J, row: 6531, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6533 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6533, expected_value: E12000006, label: geography} + - {column: D, row: 6533, expected_value: All persons, label: sex} + - {column: E, row: 6533, expected_value: Total, label: employment type} + - {column: J, row: 6533, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6537 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6537, expected_value: E12000006, label: geography} + - {column: D, row: 6537, expected_value: All persons, label: sex} + - {column: E, row: 6537, expected_value: Total, label: employment type} + - {column: J, row: 6537, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6539 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6539, expected_value: E12000006, label: geography} + - {column: D, row: 6539, expected_value: All persons, label: sex} + - {column: E, row: 6539, expected_value: Total, label: employment type} + - {column: J, row: 6539, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6541 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6541, expected_value: E12000006, label: geography} + - {column: D, row: 6541, expected_value: All persons, label: sex} + - {column: E, row: 6541, expected_value: Total, label: employment type} + - {column: J, row: 6541, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6543 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6543, expected_value: E12000006, label: geography} + - {column: D, row: 6543, expected_value: All persons, label: sex} + - {column: E, row: 6543, expected_value: Total, label: employment type} + - {column: J, row: 6543, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6545 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6545, expected_value: E12000006, label: geography} + - {column: D, row: 6545, expected_value: All persons, label: sex} + - {column: E, row: 6545, expected_value: Total, label: employment type} + - {column: J, row: 6545, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6547 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6547, expected_value: E12000006, label: geography} + - {column: D, row: 6547, expected_value: All persons, label: sex} + - {column: E, row: 6547, expected_value: Total, label: employment type} + - {column: J, row: 6547, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6549 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6549, expected_value: E12000006, label: geography} + - {column: D, row: 6549, expected_value: All persons, label: sex} + - {column: E, row: 6549, expected_value: Total, label: employment type} + - {column: J, row: 6549, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6551 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6551, expected_value: E12000006, label: geography} + - {column: D, row: 6551, expected_value: All persons, label: sex} + - {column: E, row: 6551, expected_value: Total, label: employment type} + - {column: J, row: 6551, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6553 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6553, expected_value: E12000006, label: geography} + - {column: D, row: 6553, expected_value: All persons, label: sex} + - {column: E, row: 6553, expected_value: Total, label: employment type} + - {column: J, row: 6553, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6698 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6698, expected_value: E12000006, label: geography} + - {column: D, row: 6698, expected_value: All persons, label: sex} + - {column: E, row: 6698, expected_value: Employee, label: employment type} + - {column: J, row: 6698, expected_value: Value, label: measure} + - {column: L, row: 6699, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6700 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6700, expected_value: E12000006, label: geography} + - {column: D, row: 6700, expected_value: All persons, label: sex} + - {column: E, row: 6700, expected_value: Employee, label: employment type} + - {column: J, row: 6700, expected_value: Value, label: measure} + - {column: L, row: 6701, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6702 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6702, expected_value: E12000006, label: geography} + - {column: D, row: 6702, expected_value: All persons, label: sex} + - {column: E, row: 6702, expected_value: Employee, label: employment type} + - {column: J, row: 6702, expected_value: Value, label: measure} + - {column: L, row: 6703, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6704 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6704, expected_value: E12000006, label: geography} + - {column: D, row: 6704, expected_value: All persons, label: sex} + - {column: E, row: 6704, expected_value: Employee, label: employment type} + - {column: J, row: 6704, expected_value: Value, label: measure} + - {column: L, row: 6705, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6706 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6706, expected_value: E12000006, label: geography} + - {column: D, row: 6706, expected_value: All persons, label: sex} + - {column: E, row: 6706, expected_value: Employee, label: employment type} + - {column: J, row: 6706, expected_value: Value, label: measure} + - {column: L, row: 6707, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6708 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6708, expected_value: E12000006, label: geography} + - {column: D, row: 6708, expected_value: All persons, label: sex} + - {column: E, row: 6708, expected_value: Employee, label: employment type} + - {column: J, row: 6708, expected_value: Value, label: measure} + - {column: L, row: 6709, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6710 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6710, expected_value: E12000006, label: geography} + - {column: D, row: 6710, expected_value: All persons, label: sex} + - {column: E, row: 6710, expected_value: Employee, label: employment type} + - {column: J, row: 6710, expected_value: Value, label: measure} + - {column: L, row: 6711, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6712 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6712, expected_value: E12000006, label: geography} + - {column: D, row: 6712, expected_value: All persons, label: sex} + - {column: E, row: 6712, expected_value: Employee, label: employment type} + - {column: J, row: 6712, expected_value: Value, label: measure} + - {column: L, row: 6713, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6714 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6714, expected_value: E12000006, label: geography} + - {column: D, row: 6714, expected_value: All persons, label: sex} + - {column: E, row: 6714, expected_value: Employee, label: employment type} + - {column: J, row: 6714, expected_value: Value, label: measure} + - {column: L, row: 6715, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6716 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6716, expected_value: E12000006, label: geography} + - {column: D, row: 6716, expected_value: All persons, label: sex} + - {column: E, row: 6716, expected_value: Employee, label: employment type} + - {column: J, row: 6716, expected_value: Value, label: measure} + - {column: L, row: 6717, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6718 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6718, expected_value: E12000006, label: geography} + - {column: D, row: 6718, expected_value: All persons, label: sex} + - {column: E, row: 6718, expected_value: Employee, label: employment type} + - {column: J, row: 6718, expected_value: Value, label: measure} + - {column: L, row: 6719, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6720 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6720, expected_value: E12000006, label: geography} + - {column: D, row: 6720, expected_value: All persons, label: sex} + - {column: E, row: 6720, expected_value: Employee, label: employment type} + - {column: J, row: 6720, expected_value: Value, label: measure} + - {column: L, row: 6721, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6722 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6722, expected_value: E12000006, label: geography} + - {column: D, row: 6722, expected_value: All persons, label: sex} + - {column: E, row: 6722, expected_value: Employee, label: employment type} + - {column: J, row: 6722, expected_value: Value, label: measure} + - {column: L, row: 6723, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6724 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6724, expected_value: E12000006, label: geography} + - {column: D, row: 6724, expected_value: All persons, label: sex} + - {column: E, row: 6724, expected_value: Employee, label: employment type} + - {column: J, row: 6724, expected_value: Value, label: measure} + - {column: L, row: 6725, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6726 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6726, expected_value: E12000006, label: geography} + - {column: D, row: 6726, expected_value: All persons, label: sex} + - {column: E, row: 6726, expected_value: Employee, label: employment type} + - {column: J, row: 6726, expected_value: Value, label: measure} + - {column: L, row: 6727, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6728 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6728, expected_value: E12000006, label: geography} + - {column: D, row: 6728, expected_value: All persons, label: sex} + - {column: E, row: 6728, expected_value: Employee, label: employment type} + - {column: J, row: 6728, expected_value: Value, label: measure} + - {column: L, row: 6729, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6730 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6730, expected_value: E12000006, label: geography} + - {column: D, row: 6730, expected_value: All persons, label: sex} + - {column: E, row: 6730, expected_value: Employee, label: employment type} + - {column: J, row: 6730, expected_value: Value, label: measure} + - {column: L, row: 6731, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6732 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6732, expected_value: E12000006, label: geography} + - {column: D, row: 6732, expected_value: All persons, label: sex} + - {column: E, row: 6732, expected_value: Employee, label: employment type} + - {column: J, row: 6732, expected_value: Value, label: measure} + - {column: L, row: 6733, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6734 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6734, expected_value: E12000006, label: geography} + - {column: D, row: 6734, expected_value: All persons, label: sex} + - {column: E, row: 6734, expected_value: Employee, label: employment type} + - {column: J, row: 6734, expected_value: Value, label: measure} + - {column: L, row: 6735, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6736 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6736, expected_value: E12000006, label: geography} + - {column: D, row: 6736, expected_value: All persons, label: sex} + - {column: E, row: 6736, expected_value: Employee, label: employment type} + - {column: J, row: 6736, expected_value: Value, label: measure} + - {column: L, row: 6737, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6738 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6738, expected_value: E12000006, label: geography} + - {column: D, row: 6738, expected_value: All persons, label: sex} + - {column: E, row: 6738, expected_value: Employee, label: employment type} + - {column: J, row: 6738, expected_value: Value, label: measure} + - {column: L, row: 6739, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6740 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6740, expected_value: E12000006, label: geography} + - {column: D, row: 6740, expected_value: All persons, label: sex} + - {column: E, row: 6740, expected_value: Employee, label: employment type} + - {column: J, row: 6740, expected_value: Value, label: measure} + - {column: L, row: 6741, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6742 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6742, expected_value: E12000006, label: geography} + - {column: D, row: 6742, expected_value: All persons, label: sex} + - {column: E, row: 6742, expected_value: Employee, label: employment type} + - {column: J, row: 6742, expected_value: Value, label: measure} + - {column: L, row: 6743, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6744 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6744, expected_value: E12000006, label: geography} + - {column: D, row: 6744, expected_value: All persons, label: sex} + - {column: E, row: 6744, expected_value: Employee, label: employment type} + - {column: J, row: 6744, expected_value: Value, label: measure} + - {column: L, row: 6745, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6746 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6746, expected_value: E12000006, label: geography} + - {column: D, row: 6746, expected_value: All persons, label: sex} + - {column: E, row: 6746, expected_value: Employee, label: employment type} + - {column: J, row: 6746, expected_value: Value, label: measure} + - {column: L, row: 6747, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6748 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6748, expected_value: E12000006, label: geography} + - {column: D, row: 6748, expected_value: All persons, label: sex} + - {column: E, row: 6748, expected_value: Employee, label: employment type} + - {column: J, row: 6748, expected_value: Value, label: measure} + - {column: L, row: 6749, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6750 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6750, expected_value: E12000006, label: geography} + - {column: D, row: 6750, expected_value: All persons, label: sex} + - {column: E, row: 6750, expected_value: Employee, label: employment type} + - {column: J, row: 6750, expected_value: Value, label: measure} + - {column: L, row: 6751, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6752 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6752, expected_value: E12000006, label: geography} + - {column: D, row: 6752, expected_value: All persons, label: sex} + - {column: E, row: 6752, expected_value: Employee, label: employment type} + - {column: J, row: 6752, expected_value: Value, label: measure} + - {column: L, row: 6753, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6754 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6754, expected_value: E12000006, label: geography} + - {column: D, row: 6754, expected_value: All persons, label: sex} + - {column: E, row: 6754, expected_value: Employee, label: employment type} + - {column: J, row: 6754, expected_value: Value, label: measure} + - {column: L, row: 6755, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6756 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6756, expected_value: E12000006, label: geography} + - {column: D, row: 6756, expected_value: All persons, label: sex} + - {column: E, row: 6756, expected_value: Employee, label: employment type} + - {column: J, row: 6756, expected_value: Value, label: measure} + - {column: L, row: 6757, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6758 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6758, expected_value: E12000006, label: geography} + - {column: D, row: 6758, expected_value: All persons, label: sex} + - {column: E, row: 6758, expected_value: Employee, label: employment type} + - {column: J, row: 6758, expected_value: Value, label: measure} + - {column: L, row: 6759, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6760 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6760, expected_value: E12000006, label: geography} + - {column: D, row: 6760, expected_value: All persons, label: sex} + - {column: E, row: 6760, expected_value: Employee, label: employment type} + - {column: J, row: 6760, expected_value: Value, label: measure} + - {column: L, row: 6761, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6762 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6762, expected_value: E12000006, label: geography} + - {column: D, row: 6762, expected_value: All persons, label: sex} + - {column: E, row: 6762, expected_value: Employee, label: employment type} + - {column: J, row: 6762, expected_value: Value, label: measure} + - {column: L, row: 6763, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6764 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6764, expected_value: E12000006, label: geography} + - {column: D, row: 6764, expected_value: All persons, label: sex} + - {column: E, row: 6764, expected_value: Employee, label: employment type} + - {column: J, row: 6764, expected_value: Value, label: measure} + - {column: L, row: 6765, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6766 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6766, expected_value: E12000006, label: geography} + - {column: D, row: 6766, expected_value: All persons, label: sex} + - {column: E, row: 6766, expected_value: Employee, label: employment type} + - {column: J, row: 6766, expected_value: Value, label: measure} + - {column: L, row: 6767, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6768 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6768, expected_value: E12000006, label: geography} + - {column: D, row: 6768, expected_value: All persons, label: sex} + - {column: E, row: 6768, expected_value: Employee, label: employment type} + - {column: J, row: 6768, expected_value: Value, label: measure} + - {column: L, row: 6769, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6699 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6699, expected_value: E12000006, label: geography} + - {column: D, row: 6699, expected_value: All persons, label: sex} + - {column: E, row: 6699, expected_value: Employee, label: employment type} + - {column: J, row: 6699, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6701 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6701, expected_value: E12000006, label: geography} + - {column: D, row: 6701, expected_value: All persons, label: sex} + - {column: E, row: 6701, expected_value: Employee, label: employment type} + - {column: J, row: 6701, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6703 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6703, expected_value: E12000006, label: geography} + - {column: D, row: 6703, expected_value: All persons, label: sex} + - {column: E, row: 6703, expected_value: Employee, label: employment type} + - {column: J, row: 6703, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6705 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6705, expected_value: E12000006, label: geography} + - {column: D, row: 6705, expected_value: All persons, label: sex} + - {column: E, row: 6705, expected_value: Employee, label: employment type} + - {column: J, row: 6705, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6707 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6707, expected_value: E12000006, label: geography} + - {column: D, row: 6707, expected_value: All persons, label: sex} + - {column: E, row: 6707, expected_value: Employee, label: employment type} + - {column: J, row: 6707, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6709 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6709, expected_value: E12000006, label: geography} + - {column: D, row: 6709, expected_value: All persons, label: sex} + - {column: E, row: 6709, expected_value: Employee, label: employment type} + - {column: J, row: 6709, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6711 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6711, expected_value: E12000006, label: geography} + - {column: D, row: 6711, expected_value: All persons, label: sex} + - {column: E, row: 6711, expected_value: Employee, label: employment type} + - {column: J, row: 6711, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6713 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6713, expected_value: E12000006, label: geography} + - {column: D, row: 6713, expected_value: All persons, label: sex} + - {column: E, row: 6713, expected_value: Employee, label: employment type} + - {column: J, row: 6713, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6715 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6715, expected_value: E12000006, label: geography} + - {column: D, row: 6715, expected_value: All persons, label: sex} + - {column: E, row: 6715, expected_value: Employee, label: employment type} + - {column: J, row: 6715, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6717 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6717, expected_value: E12000006, label: geography} + - {column: D, row: 6717, expected_value: All persons, label: sex} + - {column: E, row: 6717, expected_value: Employee, label: employment type} + - {column: J, row: 6717, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6719 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6719, expected_value: E12000006, label: geography} + - {column: D, row: 6719, expected_value: All persons, label: sex} + - {column: E, row: 6719, expected_value: Employee, label: employment type} + - {column: J, row: 6719, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6721 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6721, expected_value: E12000006, label: geography} + - {column: D, row: 6721, expected_value: All persons, label: sex} + - {column: E, row: 6721, expected_value: Employee, label: employment type} + - {column: J, row: 6721, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6723 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6723, expected_value: E12000006, label: geography} + - {column: D, row: 6723, expected_value: All persons, label: sex} + - {column: E, row: 6723, expected_value: Employee, label: employment type} + - {column: J, row: 6723, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6725 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6725, expected_value: E12000006, label: geography} + - {column: D, row: 6725, expected_value: All persons, label: sex} + - {column: E, row: 6725, expected_value: Employee, label: employment type} + - {column: J, row: 6725, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6727 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6727, expected_value: E12000006, label: geography} + - {column: D, row: 6727, expected_value: All persons, label: sex} + - {column: E, row: 6727, expected_value: Employee, label: employment type} + - {column: J, row: 6727, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6729 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6729, expected_value: E12000006, label: geography} + - {column: D, row: 6729, expected_value: All persons, label: sex} + - {column: E, row: 6729, expected_value: Employee, label: employment type} + - {column: J, row: 6729, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6731 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6731, expected_value: E12000006, label: geography} + - {column: D, row: 6731, expected_value: All persons, label: sex} + - {column: E, row: 6731, expected_value: Employee, label: employment type} + - {column: J, row: 6731, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6733 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6733, expected_value: E12000006, label: geography} + - {column: D, row: 6733, expected_value: All persons, label: sex} + - {column: E, row: 6733, expected_value: Employee, label: employment type} + - {column: J, row: 6733, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6735 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6735, expected_value: E12000006, label: geography} + - {column: D, row: 6735, expected_value: All persons, label: sex} + - {column: E, row: 6735, expected_value: Employee, label: employment type} + - {column: J, row: 6735, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6737 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6737, expected_value: E12000006, label: geography} + - {column: D, row: 6737, expected_value: All persons, label: sex} + - {column: E, row: 6737, expected_value: Employee, label: employment type} + - {column: J, row: 6737, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6739 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6739, expected_value: E12000006, label: geography} + - {column: D, row: 6739, expected_value: All persons, label: sex} + - {column: E, row: 6739, expected_value: Employee, label: employment type} + - {column: J, row: 6739, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6741 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6741, expected_value: E12000006, label: geography} + - {column: D, row: 6741, expected_value: All persons, label: sex} + - {column: E, row: 6741, expected_value: Employee, label: employment type} + - {column: J, row: 6741, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6743 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6743, expected_value: E12000006, label: geography} + - {column: D, row: 6743, expected_value: All persons, label: sex} + - {column: E, row: 6743, expected_value: Employee, label: employment type} + - {column: J, row: 6743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6745 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6745, expected_value: E12000006, label: geography} + - {column: D, row: 6745, expected_value: All persons, label: sex} + - {column: E, row: 6745, expected_value: Employee, label: employment type} + - {column: J, row: 6745, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6747 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6747, expected_value: E12000006, label: geography} + - {column: D, row: 6747, expected_value: All persons, label: sex} + - {column: E, row: 6747, expected_value: Employee, label: employment type} + - {column: J, row: 6747, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6749 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6749, expected_value: E12000006, label: geography} + - {column: D, row: 6749, expected_value: All persons, label: sex} + - {column: E, row: 6749, expected_value: Employee, label: employment type} + - {column: J, row: 6749, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6753 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6753, expected_value: E12000006, label: geography} + - {column: D, row: 6753, expected_value: All persons, label: sex} + - {column: E, row: 6753, expected_value: Employee, label: employment type} + - {column: J, row: 6753, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6755 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6755, expected_value: E12000006, label: geography} + - {column: D, row: 6755, expected_value: All persons, label: sex} + - {column: E, row: 6755, expected_value: Employee, label: employment type} + - {column: J, row: 6755, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6757 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6757, expected_value: E12000006, label: geography} + - {column: D, row: 6757, expected_value: All persons, label: sex} + - {column: E, row: 6757, expected_value: Employee, label: employment type} + - {column: J, row: 6757, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6759 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6759, expected_value: E12000006, label: geography} + - {column: D, row: 6759, expected_value: All persons, label: sex} + - {column: E, row: 6759, expected_value: Employee, label: employment type} + - {column: J, row: 6759, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6761 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6761, expected_value: E12000006, label: geography} + - {column: D, row: 6761, expected_value: All persons, label: sex} + - {column: E, row: 6761, expected_value: Employee, label: employment type} + - {column: J, row: 6761, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6763 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6763, expected_value: E12000006, label: geography} + - {column: D, row: 6763, expected_value: All persons, label: sex} + - {column: E, row: 6763, expected_value: Employee, label: employment type} + - {column: J, row: 6763, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6765 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6765, expected_value: E12000006, label: geography} + - {column: D, row: 6765, expected_value: All persons, label: sex} + - {column: E, row: 6765, expected_value: Employee, label: employment type} + - {column: J, row: 6765, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6767 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6767, expected_value: E12000006, label: geography} + - {column: D, row: 6767, expected_value: All persons, label: sex} + - {column: E, row: 6767, expected_value: Employee, label: employment type} + - {column: J, row: 6767, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6769 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6769, expected_value: E12000006, label: geography} + - {column: D, row: 6769, expected_value: All persons, label: sex} + - {column: E, row: 6769, expected_value: Employee, label: employment type} + - {column: J, row: 6769, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6914 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6914, expected_value: E12000006, label: geography} + - {column: D, row: 6914, expected_value: All persons, label: sex} + - {column: E, row: 6914, expected_value: Self-employed, label: employment type} + - {column: J, row: 6914, expected_value: Value, label: measure} + - {column: L, row: 6915, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6916 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6916, expected_value: E12000006, label: geography} + - {column: D, row: 6916, expected_value: All persons, label: sex} + - {column: E, row: 6916, expected_value: Self-employed, label: employment type} + - {column: J, row: 6916, expected_value: Value, label: measure} + - {column: L, row: 6917, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6918 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6918, expected_value: E12000006, label: geography} + - {column: D, row: 6918, expected_value: All persons, label: sex} + - {column: E, row: 6918, expected_value: Self-employed, label: employment type} + - {column: J, row: 6918, expected_value: Value, label: measure} + - {column: L, row: 6919, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6920 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6920, expected_value: E12000006, label: geography} + - {column: D, row: 6920, expected_value: All persons, label: sex} + - {column: E, row: 6920, expected_value: Self-employed, label: employment type} + - {column: J, row: 6920, expected_value: Value, label: measure} + - {column: L, row: 6921, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6922 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6922, expected_value: E12000006, label: geography} + - {column: D, row: 6922, expected_value: All persons, label: sex} + - {column: E, row: 6922, expected_value: Self-employed, label: employment type} + - {column: J, row: 6922, expected_value: Value, label: measure} + - {column: L, row: 6923, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6924 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6924, expected_value: E12000006, label: geography} + - {column: D, row: 6924, expected_value: All persons, label: sex} + - {column: E, row: 6924, expected_value: Self-employed, label: employment type} + - {column: J, row: 6924, expected_value: Value, label: measure} + - {column: L, row: 6925, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6926 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6926, expected_value: E12000006, label: geography} + - {column: D, row: 6926, expected_value: All persons, label: sex} + - {column: E, row: 6926, expected_value: Self-employed, label: employment type} + - {column: J, row: 6926, expected_value: Value, label: measure} + - {column: L, row: 6927, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6928 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6928, expected_value: E12000006, label: geography} + - {column: D, row: 6928, expected_value: All persons, label: sex} + - {column: E, row: 6928, expected_value: Self-employed, label: employment type} + - {column: J, row: 6928, expected_value: Value, label: measure} + - {column: L, row: 6929, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6930 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6930, expected_value: E12000006, label: geography} + - {column: D, row: 6930, expected_value: All persons, label: sex} + - {column: E, row: 6930, expected_value: Self-employed, label: employment type} + - {column: J, row: 6930, expected_value: Value, label: measure} + - {column: L, row: 6931, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6932 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6932, expected_value: E12000006, label: geography} + - {column: D, row: 6932, expected_value: All persons, label: sex} + - {column: E, row: 6932, expected_value: Self-employed, label: employment type} + - {column: J, row: 6932, expected_value: Value, label: measure} + - {column: L, row: 6933, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6934 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6934, expected_value: E12000006, label: geography} + - {column: D, row: 6934, expected_value: All persons, label: sex} + - {column: E, row: 6934, expected_value: Self-employed, label: employment type} + - {column: J, row: 6934, expected_value: Value, label: measure} + - {column: L, row: 6935, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6936 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6936, expected_value: E12000006, label: geography} + - {column: D, row: 6936, expected_value: All persons, label: sex} + - {column: E, row: 6936, expected_value: Self-employed, label: employment type} + - {column: J, row: 6936, expected_value: Value, label: measure} + - {column: L, row: 6937, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6940 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6940, expected_value: E12000006, label: geography} + - {column: D, row: 6940, expected_value: All persons, label: sex} + - {column: E, row: 6940, expected_value: Self-employed, label: employment type} + - {column: J, row: 6940, expected_value: Value, label: measure} + - {column: L, row: 6941, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6942 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6942, expected_value: E12000006, label: geography} + - {column: D, row: 6942, expected_value: All persons, label: sex} + - {column: E, row: 6942, expected_value: Self-employed, label: employment type} + - {column: J, row: 6942, expected_value: Value, label: measure} + - {column: L, row: 6943, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6944 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6944, expected_value: E12000006, label: geography} + - {column: D, row: 6944, expected_value: All persons, label: sex} + - {column: E, row: 6944, expected_value: Self-employed, label: employment type} + - {column: J, row: 6944, expected_value: Value, label: measure} + - {column: L, row: 6945, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6946 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6946, expected_value: E12000006, label: geography} + - {column: D, row: 6946, expected_value: All persons, label: sex} + - {column: E, row: 6946, expected_value: Self-employed, label: employment type} + - {column: J, row: 6946, expected_value: Value, label: measure} + - {column: L, row: 6947, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6948 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6948, expected_value: E12000006, label: geography} + - {column: D, row: 6948, expected_value: All persons, label: sex} + - {column: E, row: 6948, expected_value: Self-employed, label: employment type} + - {column: J, row: 6948, expected_value: Value, label: measure} + - {column: L, row: 6949, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6950 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6950, expected_value: E12000006, label: geography} + - {column: D, row: 6950, expected_value: All persons, label: sex} + - {column: E, row: 6950, expected_value: Self-employed, label: employment type} + - {column: J, row: 6950, expected_value: Value, label: measure} + - {column: L, row: 6951, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6952 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6952, expected_value: E12000006, label: geography} + - {column: D, row: 6952, expected_value: All persons, label: sex} + - {column: E, row: 6952, expected_value: Self-employed, label: employment type} + - {column: J, row: 6952, expected_value: Value, label: measure} + - {column: L, row: 6953, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6954 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6954, expected_value: E12000006, label: geography} + - {column: D, row: 6954, expected_value: All persons, label: sex} + - {column: E, row: 6954, expected_value: Self-employed, label: employment type} + - {column: J, row: 6954, expected_value: Value, label: measure} + - {column: L, row: 6955, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6956 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6956, expected_value: E12000006, label: geography} + - {column: D, row: 6956, expected_value: All persons, label: sex} + - {column: E, row: 6956, expected_value: Self-employed, label: employment type} + - {column: J, row: 6956, expected_value: Value, label: measure} + - {column: L, row: 6957, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6958 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6958, expected_value: E12000006, label: geography} + - {column: D, row: 6958, expected_value: All persons, label: sex} + - {column: E, row: 6958, expected_value: Self-employed, label: employment type} + - {column: J, row: 6958, expected_value: Value, label: measure} + - {column: L, row: 6959, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6960 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6960, expected_value: E12000006, label: geography} + - {column: D, row: 6960, expected_value: All persons, label: sex} + - {column: E, row: 6960, expected_value: Self-employed, label: employment type} + - {column: J, row: 6960, expected_value: Value, label: measure} + - {column: L, row: 6961, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6962 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6962, expected_value: E12000006, label: geography} + - {column: D, row: 6962, expected_value: All persons, label: sex} + - {column: E, row: 6962, expected_value: Self-employed, label: employment type} + - {column: J, row: 6962, expected_value: Value, label: measure} + - {column: L, row: 6963, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6964 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6964, expected_value: E12000006, label: geography} + - {column: D, row: 6964, expected_value: All persons, label: sex} + - {column: E, row: 6964, expected_value: Self-employed, label: employment type} + - {column: J, row: 6964, expected_value: Value, label: measure} + - {column: L, row: 6965, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6968 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6968, expected_value: E12000006, label: geography} + - {column: D, row: 6968, expected_value: All persons, label: sex} + - {column: E, row: 6968, expected_value: Self-employed, label: employment type} + - {column: J, row: 6968, expected_value: Value, label: measure} + - {column: L, row: 6969, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6970 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6970, expected_value: E12000006, label: geography} + - {column: D, row: 6970, expected_value: All persons, label: sex} + - {column: E, row: 6970, expected_value: Self-employed, label: employment type} + - {column: J, row: 6970, expected_value: Value, label: measure} + - {column: L, row: 6971, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6972 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6972, expected_value: E12000006, label: geography} + - {column: D, row: 6972, expected_value: All persons, label: sex} + - {column: E, row: 6972, expected_value: Self-employed, label: employment type} + - {column: J, row: 6972, expected_value: Value, label: measure} + - {column: L, row: 6973, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6974 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6974, expected_value: E12000006, label: geography} + - {column: D, row: 6974, expected_value: All persons, label: sex} + - {column: E, row: 6974, expected_value: Self-employed, label: employment type} + - {column: J, row: 6974, expected_value: Value, label: measure} + - {column: L, row: 6975, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6976 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6976, expected_value: E12000006, label: geography} + - {column: D, row: 6976, expected_value: All persons, label: sex} + - {column: E, row: 6976, expected_value: Self-employed, label: employment type} + - {column: J, row: 6976, expected_value: Value, label: measure} + - {column: L, row: 6977, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6978 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6978, expected_value: E12000006, label: geography} + - {column: D, row: 6978, expected_value: All persons, label: sex} + - {column: E, row: 6978, expected_value: Self-employed, label: employment type} + - {column: J, row: 6978, expected_value: Value, label: measure} + - {column: L, row: 6979, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6980 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6980, expected_value: E12000006, label: geography} + - {column: D, row: 6980, expected_value: All persons, label: sex} + - {column: E, row: 6980, expected_value: Self-employed, label: employment type} + - {column: J, row: 6980, expected_value: Value, label: measure} + - {column: L, row: 6981, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6982 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6982, expected_value: E12000006, label: geography} + - {column: D, row: 6982, expected_value: All persons, label: sex} + - {column: E, row: 6982, expected_value: Self-employed, label: employment type} + - {column: J, row: 6982, expected_value: Value, label: measure} + - {column: L, row: 6983, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6984 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6984, expected_value: E12000006, label: geography} + - {column: D, row: 6984, expected_value: All persons, label: sex} + - {column: E, row: 6984, expected_value: Self-employed, label: employment type} + - {column: J, row: 6984, expected_value: Value, label: measure} + - {column: L, row: 6985, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6915 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6915, expected_value: E12000006, label: geography} + - {column: D, row: 6915, expected_value: All persons, label: sex} + - {column: E, row: 6915, expected_value: Self-employed, label: employment type} + - {column: J, row: 6915, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6917 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6917, expected_value: E12000006, label: geography} + - {column: D, row: 6917, expected_value: All persons, label: sex} + - {column: E, row: 6917, expected_value: Self-employed, label: employment type} + - {column: J, row: 6917, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6919 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6919, expected_value: E12000006, label: geography} + - {column: D, row: 6919, expected_value: All persons, label: sex} + - {column: E, row: 6919, expected_value: Self-employed, label: employment type} + - {column: J, row: 6919, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6921 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6921, expected_value: E12000006, label: geography} + - {column: D, row: 6921, expected_value: All persons, label: sex} + - {column: E, row: 6921, expected_value: Self-employed, label: employment type} + - {column: J, row: 6921, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6923 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6923, expected_value: E12000006, label: geography} + - {column: D, row: 6923, expected_value: All persons, label: sex} + - {column: E, row: 6923, expected_value: Self-employed, label: employment type} + - {column: J, row: 6923, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6925 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6925, expected_value: E12000006, label: geography} + - {column: D, row: 6925, expected_value: All persons, label: sex} + - {column: E, row: 6925, expected_value: Self-employed, label: employment type} + - {column: J, row: 6925, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6927 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6927, expected_value: E12000006, label: geography} + - {column: D, row: 6927, expected_value: All persons, label: sex} + - {column: E, row: 6927, expected_value: Self-employed, label: employment type} + - {column: J, row: 6927, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6929 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6929, expected_value: E12000006, label: geography} + - {column: D, row: 6929, expected_value: All persons, label: sex} + - {column: E, row: 6929, expected_value: Self-employed, label: employment type} + - {column: J, row: 6929, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6931 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6931, expected_value: E12000006, label: geography} + - {column: D, row: 6931, expected_value: All persons, label: sex} + - {column: E, row: 6931, expected_value: Self-employed, label: employment type} + - {column: J, row: 6931, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6933 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6933, expected_value: E12000006, label: geography} + - {column: D, row: 6933, expected_value: All persons, label: sex} + - {column: E, row: 6933, expected_value: Self-employed, label: employment type} + - {column: J, row: 6933, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6937 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6937, expected_value: E12000006, label: geography} + - {column: D, row: 6937, expected_value: All persons, label: sex} + - {column: E, row: 6937, expected_value: Self-employed, label: employment type} + - {column: J, row: 6937, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6941 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6941, expected_value: E12000006, label: geography} + - {column: D, row: 6941, expected_value: All persons, label: sex} + - {column: E, row: 6941, expected_value: Self-employed, label: employment type} + - {column: J, row: 6941, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6943 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6943, expected_value: E12000006, label: geography} + - {column: D, row: 6943, expected_value: All persons, label: sex} + - {column: E, row: 6943, expected_value: Self-employed, label: employment type} + - {column: J, row: 6943, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6945 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6945, expected_value: E12000006, label: geography} + - {column: D, row: 6945, expected_value: All persons, label: sex} + - {column: E, row: 6945, expected_value: Self-employed, label: employment type} + - {column: J, row: 6945, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6947 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6947, expected_value: E12000006, label: geography} + - {column: D, row: 6947, expected_value: All persons, label: sex} + - {column: E, row: 6947, expected_value: Self-employed, label: employment type} + - {column: J, row: 6947, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6951 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6951, expected_value: E12000006, label: geography} + - {column: D, row: 6951, expected_value: All persons, label: sex} + - {column: E, row: 6951, expected_value: Self-employed, label: employment type} + - {column: J, row: 6951, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6953 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6953, expected_value: E12000006, label: geography} + - {column: D, row: 6953, expected_value: All persons, label: sex} + - {column: E, row: 6953, expected_value: Self-employed, label: employment type} + - {column: J, row: 6953, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6955 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6955, expected_value: E12000006, label: geography} + - {column: D, row: 6955, expected_value: All persons, label: sex} + - {column: E, row: 6955, expected_value: Self-employed, label: employment type} + - {column: J, row: 6955, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6957 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6957, expected_value: E12000006, label: geography} + - {column: D, row: 6957, expected_value: All persons, label: sex} + - {column: E, row: 6957, expected_value: Self-employed, label: employment type} + - {column: J, row: 6957, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6959 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6959, expected_value: E12000006, label: geography} + - {column: D, row: 6959, expected_value: All persons, label: sex} + - {column: E, row: 6959, expected_value: Self-employed, label: employment type} + - {column: J, row: 6959, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6961 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6961, expected_value: E12000006, label: geography} + - {column: D, row: 6961, expected_value: All persons, label: sex} + - {column: E, row: 6961, expected_value: Self-employed, label: employment type} + - {column: J, row: 6961, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6963 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6963, expected_value: E12000006, label: geography} + - {column: D, row: 6963, expected_value: All persons, label: sex} + - {column: E, row: 6963, expected_value: Self-employed, label: employment type} + - {column: J, row: 6963, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6965 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6965, expected_value: E12000006, label: geography} + - {column: D, row: 6965, expected_value: All persons, label: sex} + - {column: E, row: 6965, expected_value: Self-employed, label: employment type} + - {column: J, row: 6965, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6969 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6969, expected_value: E12000006, label: geography} + - {column: D, row: 6969, expected_value: All persons, label: sex} + - {column: E, row: 6969, expected_value: Self-employed, label: employment type} + - {column: J, row: 6969, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6971 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6971, expected_value: E12000006, label: geography} + - {column: D, row: 6971, expected_value: All persons, label: sex} + - {column: E, row: 6971, expected_value: Self-employed, label: employment type} + - {column: J, row: 6971, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6975 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6975, expected_value: E12000006, label: geography} + - {column: D, row: 6975, expected_value: All persons, label: sex} + - {column: E, row: 6975, expected_value: Self-employed, label: employment type} + - {column: J, row: 6975, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6977 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6977, expected_value: E12000006, label: geography} + - {column: D, row: 6977, expected_value: All persons, label: sex} + - {column: E, row: 6977, expected_value: Self-employed, label: employment type} + - {column: J, row: 6977, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6979 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6979, expected_value: E12000006, label: geography} + - {column: D, row: 6979, expected_value: All persons, label: sex} + - {column: E, row: 6979, expected_value: Self-employed, label: employment type} + - {column: J, row: 6979, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6981 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6981, expected_value: E12000006, label: geography} + - {column: D, row: 6981, expected_value: All persons, label: sex} + - {column: E, row: 6981, expected_value: Self-employed, label: employment type} + - {column: J, row: 6981, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6983 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6983, expected_value: E12000006, label: geography} + - {column: D, row: 6983, expected_value: All persons, label: sex} + - {column: E, row: 6983, expected_value: Self-employed, label: employment type} + - {column: J, row: 6983, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6985 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6985, expected_value: E12000006, label: geography} + - {column: D, row: 6985, expected_value: All persons, label: sex} + - {column: E, row: 6985, expected_value: Self-employed, label: employment type} + - {column: J, row: 6985, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6554 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6554, expected_value: E12000006, label: geography} + - {column: D, row: 6554, expected_value: Males, label: sex} + - {column: E, row: 6554, expected_value: Total, label: employment type} + - {column: J, row: 6554, expected_value: Value, label: measure} + - {column: L, row: 6555, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6556 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6556, expected_value: E12000006, label: geography} + - {column: D, row: 6556, expected_value: Males, label: sex} + - {column: E, row: 6556, expected_value: Total, label: employment type} + - {column: J, row: 6556, expected_value: Value, label: measure} + - {column: L, row: 6557, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6558 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6558, expected_value: E12000006, label: geography} + - {column: D, row: 6558, expected_value: Males, label: sex} + - {column: E, row: 6558, expected_value: Total, label: employment type} + - {column: J, row: 6558, expected_value: Value, label: measure} + - {column: L, row: 6559, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6560 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6560, expected_value: E12000006, label: geography} + - {column: D, row: 6560, expected_value: Males, label: sex} + - {column: E, row: 6560, expected_value: Total, label: employment type} + - {column: J, row: 6560, expected_value: Value, label: measure} + - {column: L, row: 6561, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6562 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6562, expected_value: E12000006, label: geography} + - {column: D, row: 6562, expected_value: Males, label: sex} + - {column: E, row: 6562, expected_value: Total, label: employment type} + - {column: J, row: 6562, expected_value: Value, label: measure} + - {column: L, row: 6563, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6564 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6564, expected_value: E12000006, label: geography} + - {column: D, row: 6564, expected_value: Males, label: sex} + - {column: E, row: 6564, expected_value: Total, label: employment type} + - {column: J, row: 6564, expected_value: Value, label: measure} + - {column: L, row: 6565, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6566 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6566, expected_value: E12000006, label: geography} + - {column: D, row: 6566, expected_value: Males, label: sex} + - {column: E, row: 6566, expected_value: Total, label: employment type} + - {column: J, row: 6566, expected_value: Value, label: measure} + - {column: L, row: 6567, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6568 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6568, expected_value: E12000006, label: geography} + - {column: D, row: 6568, expected_value: Males, label: sex} + - {column: E, row: 6568, expected_value: Total, label: employment type} + - {column: J, row: 6568, expected_value: Value, label: measure} + - {column: L, row: 6569, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6570 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6570, expected_value: E12000006, label: geography} + - {column: D, row: 6570, expected_value: Males, label: sex} + - {column: E, row: 6570, expected_value: Total, label: employment type} + - {column: J, row: 6570, expected_value: Value, label: measure} + - {column: L, row: 6571, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6572 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6572, expected_value: E12000006, label: geography} + - {column: D, row: 6572, expected_value: Males, label: sex} + - {column: E, row: 6572, expected_value: Total, label: employment type} + - {column: J, row: 6572, expected_value: Value, label: measure} + - {column: L, row: 6573, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6574 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6574, expected_value: E12000006, label: geography} + - {column: D, row: 6574, expected_value: Males, label: sex} + - {column: E, row: 6574, expected_value: Total, label: employment type} + - {column: J, row: 6574, expected_value: Value, label: measure} + - {column: L, row: 6575, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6576 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6576, expected_value: E12000006, label: geography} + - {column: D, row: 6576, expected_value: Males, label: sex} + - {column: E, row: 6576, expected_value: Total, label: employment type} + - {column: J, row: 6576, expected_value: Value, label: measure} + - {column: L, row: 6577, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6578 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6578, expected_value: E12000006, label: geography} + - {column: D, row: 6578, expected_value: Males, label: sex} + - {column: E, row: 6578, expected_value: Total, label: employment type} + - {column: J, row: 6578, expected_value: Value, label: measure} + - {column: L, row: 6579, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6580 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6580, expected_value: E12000006, label: geography} + - {column: D, row: 6580, expected_value: Males, label: sex} + - {column: E, row: 6580, expected_value: Total, label: employment type} + - {column: J, row: 6580, expected_value: Value, label: measure} + - {column: L, row: 6581, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6582 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6582, expected_value: E12000006, label: geography} + - {column: D, row: 6582, expected_value: Males, label: sex} + - {column: E, row: 6582, expected_value: Total, label: employment type} + - {column: J, row: 6582, expected_value: Value, label: measure} + - {column: L, row: 6583, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6584 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6584, expected_value: E12000006, label: geography} + - {column: D, row: 6584, expected_value: Males, label: sex} + - {column: E, row: 6584, expected_value: Total, label: employment type} + - {column: J, row: 6584, expected_value: Value, label: measure} + - {column: L, row: 6585, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6586 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6586, expected_value: E12000006, label: geography} + - {column: D, row: 6586, expected_value: Males, label: sex} + - {column: E, row: 6586, expected_value: Total, label: employment type} + - {column: J, row: 6586, expected_value: Value, label: measure} + - {column: L, row: 6587, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6588 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6588, expected_value: E12000006, label: geography} + - {column: D, row: 6588, expected_value: Males, label: sex} + - {column: E, row: 6588, expected_value: Total, label: employment type} + - {column: J, row: 6588, expected_value: Value, label: measure} + - {column: L, row: 6589, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6590 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6590, expected_value: E12000006, label: geography} + - {column: D, row: 6590, expected_value: Males, label: sex} + - {column: E, row: 6590, expected_value: Total, label: employment type} + - {column: J, row: 6590, expected_value: Value, label: measure} + - {column: L, row: 6591, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6592 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6592, expected_value: E12000006, label: geography} + - {column: D, row: 6592, expected_value: Males, label: sex} + - {column: E, row: 6592, expected_value: Total, label: employment type} + - {column: J, row: 6592, expected_value: Value, label: measure} + - {column: L, row: 6593, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6594 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6594, expected_value: E12000006, label: geography} + - {column: D, row: 6594, expected_value: Males, label: sex} + - {column: E, row: 6594, expected_value: Total, label: employment type} + - {column: J, row: 6594, expected_value: Value, label: measure} + - {column: L, row: 6595, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6596 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6596, expected_value: E12000006, label: geography} + - {column: D, row: 6596, expected_value: Males, label: sex} + - {column: E, row: 6596, expected_value: Total, label: employment type} + - {column: J, row: 6596, expected_value: Value, label: measure} + - {column: L, row: 6597, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6598 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6598, expected_value: E12000006, label: geography} + - {column: D, row: 6598, expected_value: Males, label: sex} + - {column: E, row: 6598, expected_value: Total, label: employment type} + - {column: J, row: 6598, expected_value: Value, label: measure} + - {column: L, row: 6599, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6600 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6600, expected_value: E12000006, label: geography} + - {column: D, row: 6600, expected_value: Males, label: sex} + - {column: E, row: 6600, expected_value: Total, label: employment type} + - {column: J, row: 6600, expected_value: Value, label: measure} + - {column: L, row: 6601, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6602 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6602, expected_value: E12000006, label: geography} + - {column: D, row: 6602, expected_value: Males, label: sex} + - {column: E, row: 6602, expected_value: Total, label: employment type} + - {column: J, row: 6602, expected_value: Value, label: measure} + - {column: L, row: 6603, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6604 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6604, expected_value: E12000006, label: geography} + - {column: D, row: 6604, expected_value: Males, label: sex} + - {column: E, row: 6604, expected_value: Total, label: employment type} + - {column: J, row: 6604, expected_value: Value, label: measure} + - {column: L, row: 6605, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6606 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6606, expected_value: E12000006, label: geography} + - {column: D, row: 6606, expected_value: Males, label: sex} + - {column: E, row: 6606, expected_value: Total, label: employment type} + - {column: J, row: 6606, expected_value: Value, label: measure} + - {column: L, row: 6607, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6608 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6608, expected_value: E12000006, label: geography} + - {column: D, row: 6608, expected_value: Males, label: sex} + - {column: E, row: 6608, expected_value: Total, label: employment type} + - {column: J, row: 6608, expected_value: Value, label: measure} + - {column: L, row: 6609, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6610 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6610, expected_value: E12000006, label: geography} + - {column: D, row: 6610, expected_value: Males, label: sex} + - {column: E, row: 6610, expected_value: Total, label: employment type} + - {column: J, row: 6610, expected_value: Value, label: measure} + - {column: L, row: 6611, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6612 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6612, expected_value: E12000006, label: geography} + - {column: D, row: 6612, expected_value: Males, label: sex} + - {column: E, row: 6612, expected_value: Total, label: employment type} + - {column: J, row: 6612, expected_value: Value, label: measure} + - {column: L, row: 6613, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6614 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6614, expected_value: E12000006, label: geography} + - {column: D, row: 6614, expected_value: Males, label: sex} + - {column: E, row: 6614, expected_value: Total, label: employment type} + - {column: J, row: 6614, expected_value: Value, label: measure} + - {column: L, row: 6615, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6616 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6616, expected_value: E12000006, label: geography} + - {column: D, row: 6616, expected_value: Males, label: sex} + - {column: E, row: 6616, expected_value: Total, label: employment type} + - {column: J, row: 6616, expected_value: Value, label: measure} + - {column: L, row: 6617, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6618 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6618, expected_value: E12000006, label: geography} + - {column: D, row: 6618, expected_value: Males, label: sex} + - {column: E, row: 6618, expected_value: Total, label: employment type} + - {column: J, row: 6618, expected_value: Value, label: measure} + - {column: L, row: 6619, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6620 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6620, expected_value: E12000006, label: geography} + - {column: D, row: 6620, expected_value: Males, label: sex} + - {column: E, row: 6620, expected_value: Total, label: employment type} + - {column: J, row: 6620, expected_value: Value, label: measure} + - {column: L, row: 6621, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6622 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6622, expected_value: E12000006, label: geography} + - {column: D, row: 6622, expected_value: Males, label: sex} + - {column: E, row: 6622, expected_value: Total, label: employment type} + - {column: J, row: 6622, expected_value: Value, label: measure} + - {column: L, row: 6623, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6624 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6624, expected_value: E12000006, label: geography} + - {column: D, row: 6624, expected_value: Males, label: sex} + - {column: E, row: 6624, expected_value: Total, label: employment type} + - {column: J, row: 6624, expected_value: Value, label: measure} + - {column: L, row: 6625, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6555 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6555, expected_value: E12000006, label: geography} + - {column: D, row: 6555, expected_value: Males, label: sex} + - {column: E, row: 6555, expected_value: Total, label: employment type} + - {column: J, row: 6555, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6557 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6557, expected_value: E12000006, label: geography} + - {column: D, row: 6557, expected_value: Males, label: sex} + - {column: E, row: 6557, expected_value: Total, label: employment type} + - {column: J, row: 6557, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6559 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6559, expected_value: E12000006, label: geography} + - {column: D, row: 6559, expected_value: Males, label: sex} + - {column: E, row: 6559, expected_value: Total, label: employment type} + - {column: J, row: 6559, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6561 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6561, expected_value: E12000006, label: geography} + - {column: D, row: 6561, expected_value: Males, label: sex} + - {column: E, row: 6561, expected_value: Total, label: employment type} + - {column: J, row: 6561, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6563 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6563, expected_value: E12000006, label: geography} + - {column: D, row: 6563, expected_value: Males, label: sex} + - {column: E, row: 6563, expected_value: Total, label: employment type} + - {column: J, row: 6563, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6565 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6565, expected_value: E12000006, label: geography} + - {column: D, row: 6565, expected_value: Males, label: sex} + - {column: E, row: 6565, expected_value: Total, label: employment type} + - {column: J, row: 6565, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6567 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6567, expected_value: E12000006, label: geography} + - {column: D, row: 6567, expected_value: Males, label: sex} + - {column: E, row: 6567, expected_value: Total, label: employment type} + - {column: J, row: 6567, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6569 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6569, expected_value: E12000006, label: geography} + - {column: D, row: 6569, expected_value: Males, label: sex} + - {column: E, row: 6569, expected_value: Total, label: employment type} + - {column: J, row: 6569, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6571 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6571, expected_value: E12000006, label: geography} + - {column: D, row: 6571, expected_value: Males, label: sex} + - {column: E, row: 6571, expected_value: Total, label: employment type} + - {column: J, row: 6571, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6573 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6573, expected_value: E12000006, label: geography} + - {column: D, row: 6573, expected_value: Males, label: sex} + - {column: E, row: 6573, expected_value: Total, label: employment type} + - {column: J, row: 6573, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6575 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6575, expected_value: E12000006, label: geography} + - {column: D, row: 6575, expected_value: Males, label: sex} + - {column: E, row: 6575, expected_value: Total, label: employment type} + - {column: J, row: 6575, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6577 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6577, expected_value: E12000006, label: geography} + - {column: D, row: 6577, expected_value: Males, label: sex} + - {column: E, row: 6577, expected_value: Total, label: employment type} + - {column: J, row: 6577, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6579 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6579, expected_value: E12000006, label: geography} + - {column: D, row: 6579, expected_value: Males, label: sex} + - {column: E, row: 6579, expected_value: Total, label: employment type} + - {column: J, row: 6579, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6581 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6581, expected_value: E12000006, label: geography} + - {column: D, row: 6581, expected_value: Males, label: sex} + - {column: E, row: 6581, expected_value: Total, label: employment type} + - {column: J, row: 6581, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6583 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6583, expected_value: E12000006, label: geography} + - {column: D, row: 6583, expected_value: Males, label: sex} + - {column: E, row: 6583, expected_value: Total, label: employment type} + - {column: J, row: 6583, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6585 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6585, expected_value: E12000006, label: geography} + - {column: D, row: 6585, expected_value: Males, label: sex} + - {column: E, row: 6585, expected_value: Total, label: employment type} + - {column: J, row: 6585, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6587 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6587, expected_value: E12000006, label: geography} + - {column: D, row: 6587, expected_value: Males, label: sex} + - {column: E, row: 6587, expected_value: Total, label: employment type} + - {column: J, row: 6587, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6591 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6591, expected_value: E12000006, label: geography} + - {column: D, row: 6591, expected_value: Males, label: sex} + - {column: E, row: 6591, expected_value: Total, label: employment type} + - {column: J, row: 6591, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6593 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6593, expected_value: E12000006, label: geography} + - {column: D, row: 6593, expected_value: Males, label: sex} + - {column: E, row: 6593, expected_value: Total, label: employment type} + - {column: J, row: 6593, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6595 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6595, expected_value: E12000006, label: geography} + - {column: D, row: 6595, expected_value: Males, label: sex} + - {column: E, row: 6595, expected_value: Total, label: employment type} + - {column: J, row: 6595, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6597 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6597, expected_value: E12000006, label: geography} + - {column: D, row: 6597, expected_value: Males, label: sex} + - {column: E, row: 6597, expected_value: Total, label: employment type} + - {column: J, row: 6597, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6599 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6599, expected_value: E12000006, label: geography} + - {column: D, row: 6599, expected_value: Males, label: sex} + - {column: E, row: 6599, expected_value: Total, label: employment type} + - {column: J, row: 6599, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6601 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6601, expected_value: E12000006, label: geography} + - {column: D, row: 6601, expected_value: Males, label: sex} + - {column: E, row: 6601, expected_value: Total, label: employment type} + - {column: J, row: 6601, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6603 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6603, expected_value: E12000006, label: geography} + - {column: D, row: 6603, expected_value: Males, label: sex} + - {column: E, row: 6603, expected_value: Total, label: employment type} + - {column: J, row: 6603, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6605 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6605, expected_value: E12000006, label: geography} + - {column: D, row: 6605, expected_value: Males, label: sex} + - {column: E, row: 6605, expected_value: Total, label: employment type} + - {column: J, row: 6605, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6609 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6609, expected_value: E12000006, label: geography} + - {column: D, row: 6609, expected_value: Males, label: sex} + - {column: E, row: 6609, expected_value: Total, label: employment type} + - {column: J, row: 6609, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6611 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6611, expected_value: E12000006, label: geography} + - {column: D, row: 6611, expected_value: Males, label: sex} + - {column: E, row: 6611, expected_value: Total, label: employment type} + - {column: J, row: 6611, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6613 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6613, expected_value: E12000006, label: geography} + - {column: D, row: 6613, expected_value: Males, label: sex} + - {column: E, row: 6613, expected_value: Total, label: employment type} + - {column: J, row: 6613, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6615 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6615, expected_value: E12000006, label: geography} + - {column: D, row: 6615, expected_value: Males, label: sex} + - {column: E, row: 6615, expected_value: Total, label: employment type} + - {column: J, row: 6615, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6617 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6617, expected_value: E12000006, label: geography} + - {column: D, row: 6617, expected_value: Males, label: sex} + - {column: E, row: 6617, expected_value: Total, label: employment type} + - {column: J, row: 6617, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6619 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6619, expected_value: E12000006, label: geography} + - {column: D, row: 6619, expected_value: Males, label: sex} + - {column: E, row: 6619, expected_value: Total, label: employment type} + - {column: J, row: 6619, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6621 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6621, expected_value: E12000006, label: geography} + - {column: D, row: 6621, expected_value: Males, label: sex} + - {column: E, row: 6621, expected_value: Total, label: employment type} + - {column: J, row: 6621, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6623 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6623, expected_value: E12000006, label: geography} + - {column: D, row: 6623, expected_value: Males, label: sex} + - {column: E, row: 6623, expected_value: Total, label: employment type} + - {column: J, row: 6623, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6625 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6625, expected_value: E12000006, label: geography} + - {column: D, row: 6625, expected_value: Males, label: sex} + - {column: E, row: 6625, expected_value: Total, label: employment type} + - {column: J, row: 6625, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6770 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6770, expected_value: E12000006, label: geography} + - {column: D, row: 6770, expected_value: Males, label: sex} + - {column: E, row: 6770, expected_value: Employee, label: employment type} + - {column: J, row: 6770, expected_value: Value, label: measure} + - {column: L, row: 6771, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6772 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6772, expected_value: E12000006, label: geography} + - {column: D, row: 6772, expected_value: Males, label: sex} + - {column: E, row: 6772, expected_value: Employee, label: employment type} + - {column: J, row: 6772, expected_value: Value, label: measure} + - {column: L, row: 6773, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6774 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6774, expected_value: E12000006, label: geography} + - {column: D, row: 6774, expected_value: Males, label: sex} + - {column: E, row: 6774, expected_value: Employee, label: employment type} + - {column: J, row: 6774, expected_value: Value, label: measure} + - {column: L, row: 6775, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6776 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6776, expected_value: E12000006, label: geography} + - {column: D, row: 6776, expected_value: Males, label: sex} + - {column: E, row: 6776, expected_value: Employee, label: employment type} + - {column: J, row: 6776, expected_value: Value, label: measure} + - {column: L, row: 6777, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6778 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6778, expected_value: E12000006, label: geography} + - {column: D, row: 6778, expected_value: Males, label: sex} + - {column: E, row: 6778, expected_value: Employee, label: employment type} + - {column: J, row: 6778, expected_value: Value, label: measure} + - {column: L, row: 6779, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6780 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6780, expected_value: E12000006, label: geography} + - {column: D, row: 6780, expected_value: Males, label: sex} + - {column: E, row: 6780, expected_value: Employee, label: employment type} + - {column: J, row: 6780, expected_value: Value, label: measure} + - {column: L, row: 6781, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6782 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6782, expected_value: E12000006, label: geography} + - {column: D, row: 6782, expected_value: Males, label: sex} + - {column: E, row: 6782, expected_value: Employee, label: employment type} + - {column: J, row: 6782, expected_value: Value, label: measure} + - {column: L, row: 6783, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6784 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6784, expected_value: E12000006, label: geography} + - {column: D, row: 6784, expected_value: Males, label: sex} + - {column: E, row: 6784, expected_value: Employee, label: employment type} + - {column: J, row: 6784, expected_value: Value, label: measure} + - {column: L, row: 6785, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6786 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6786, expected_value: E12000006, label: geography} + - {column: D, row: 6786, expected_value: Males, label: sex} + - {column: E, row: 6786, expected_value: Employee, label: employment type} + - {column: J, row: 6786, expected_value: Value, label: measure} + - {column: L, row: 6787, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6788 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6788, expected_value: E12000006, label: geography} + - {column: D, row: 6788, expected_value: Males, label: sex} + - {column: E, row: 6788, expected_value: Employee, label: employment type} + - {column: J, row: 6788, expected_value: Value, label: measure} + - {column: L, row: 6789, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6790 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6790, expected_value: E12000006, label: geography} + - {column: D, row: 6790, expected_value: Males, label: sex} + - {column: E, row: 6790, expected_value: Employee, label: employment type} + - {column: J, row: 6790, expected_value: Value, label: measure} + - {column: L, row: 6791, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6792 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6792, expected_value: E12000006, label: geography} + - {column: D, row: 6792, expected_value: Males, label: sex} + - {column: E, row: 6792, expected_value: Employee, label: employment type} + - {column: J, row: 6792, expected_value: Value, label: measure} + - {column: L, row: 6793, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6794 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6794, expected_value: E12000006, label: geography} + - {column: D, row: 6794, expected_value: Males, label: sex} + - {column: E, row: 6794, expected_value: Employee, label: employment type} + - {column: J, row: 6794, expected_value: Value, label: measure} + - {column: L, row: 6795, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6796 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6796, expected_value: E12000006, label: geography} + - {column: D, row: 6796, expected_value: Males, label: sex} + - {column: E, row: 6796, expected_value: Employee, label: employment type} + - {column: J, row: 6796, expected_value: Value, label: measure} + - {column: L, row: 6797, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6798 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6798, expected_value: E12000006, label: geography} + - {column: D, row: 6798, expected_value: Males, label: sex} + - {column: E, row: 6798, expected_value: Employee, label: employment type} + - {column: J, row: 6798, expected_value: Value, label: measure} + - {column: L, row: 6799, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6800 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6800, expected_value: E12000006, label: geography} + - {column: D, row: 6800, expected_value: Males, label: sex} + - {column: E, row: 6800, expected_value: Employee, label: employment type} + - {column: J, row: 6800, expected_value: Value, label: measure} + - {column: L, row: 6801, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6802 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6802, expected_value: E12000006, label: geography} + - {column: D, row: 6802, expected_value: Males, label: sex} + - {column: E, row: 6802, expected_value: Employee, label: employment type} + - {column: J, row: 6802, expected_value: Value, label: measure} + - {column: L, row: 6803, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6804 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6804, expected_value: E12000006, label: geography} + - {column: D, row: 6804, expected_value: Males, label: sex} + - {column: E, row: 6804, expected_value: Employee, label: employment type} + - {column: J, row: 6804, expected_value: Value, label: measure} + - {column: L, row: 6805, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6806 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6806, expected_value: E12000006, label: geography} + - {column: D, row: 6806, expected_value: Males, label: sex} + - {column: E, row: 6806, expected_value: Employee, label: employment type} + - {column: J, row: 6806, expected_value: Value, label: measure} + - {column: L, row: 6807, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6808 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6808, expected_value: E12000006, label: geography} + - {column: D, row: 6808, expected_value: Males, label: sex} + - {column: E, row: 6808, expected_value: Employee, label: employment type} + - {column: J, row: 6808, expected_value: Value, label: measure} + - {column: L, row: 6809, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6810 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6810, expected_value: E12000006, label: geography} + - {column: D, row: 6810, expected_value: Males, label: sex} + - {column: E, row: 6810, expected_value: Employee, label: employment type} + - {column: J, row: 6810, expected_value: Value, label: measure} + - {column: L, row: 6811, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6812 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6812, expected_value: E12000006, label: geography} + - {column: D, row: 6812, expected_value: Males, label: sex} + - {column: E, row: 6812, expected_value: Employee, label: employment type} + - {column: J, row: 6812, expected_value: Value, label: measure} + - {column: L, row: 6813, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6814 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6814, expected_value: E12000006, label: geography} + - {column: D, row: 6814, expected_value: Males, label: sex} + - {column: E, row: 6814, expected_value: Employee, label: employment type} + - {column: J, row: 6814, expected_value: Value, label: measure} + - {column: L, row: 6815, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6816 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6816, expected_value: E12000006, label: geography} + - {column: D, row: 6816, expected_value: Males, label: sex} + - {column: E, row: 6816, expected_value: Employee, label: employment type} + - {column: J, row: 6816, expected_value: Value, label: measure} + - {column: L, row: 6817, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6818 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6818, expected_value: E12000006, label: geography} + - {column: D, row: 6818, expected_value: Males, label: sex} + - {column: E, row: 6818, expected_value: Employee, label: employment type} + - {column: J, row: 6818, expected_value: Value, label: measure} + - {column: L, row: 6819, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6820 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6820, expected_value: E12000006, label: geography} + - {column: D, row: 6820, expected_value: Males, label: sex} + - {column: E, row: 6820, expected_value: Employee, label: employment type} + - {column: J, row: 6820, expected_value: Value, label: measure} + - {column: L, row: 6821, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6822 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6822, expected_value: E12000006, label: geography} + - {column: D, row: 6822, expected_value: Males, label: sex} + - {column: E, row: 6822, expected_value: Employee, label: employment type} + - {column: J, row: 6822, expected_value: Value, label: measure} + - {column: L, row: 6823, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6824 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6824, expected_value: E12000006, label: geography} + - {column: D, row: 6824, expected_value: Males, label: sex} + - {column: E, row: 6824, expected_value: Employee, label: employment type} + - {column: J, row: 6824, expected_value: Value, label: measure} + - {column: L, row: 6825, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6826 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6826, expected_value: E12000006, label: geography} + - {column: D, row: 6826, expected_value: Males, label: sex} + - {column: E, row: 6826, expected_value: Employee, label: employment type} + - {column: J, row: 6826, expected_value: Value, label: measure} + - {column: L, row: 6827, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6828 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6828, expected_value: E12000006, label: geography} + - {column: D, row: 6828, expected_value: Males, label: sex} + - {column: E, row: 6828, expected_value: Employee, label: employment type} + - {column: J, row: 6828, expected_value: Value, label: measure} + - {column: L, row: 6829, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6830 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6830, expected_value: E12000006, label: geography} + - {column: D, row: 6830, expected_value: Males, label: sex} + - {column: E, row: 6830, expected_value: Employee, label: employment type} + - {column: J, row: 6830, expected_value: Value, label: measure} + - {column: L, row: 6831, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6832 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6832, expected_value: E12000006, label: geography} + - {column: D, row: 6832, expected_value: Males, label: sex} + - {column: E, row: 6832, expected_value: Employee, label: employment type} + - {column: J, row: 6832, expected_value: Value, label: measure} + - {column: L, row: 6833, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6834 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6834, expected_value: E12000006, label: geography} + - {column: D, row: 6834, expected_value: Males, label: sex} + - {column: E, row: 6834, expected_value: Employee, label: employment type} + - {column: J, row: 6834, expected_value: Value, label: measure} + - {column: L, row: 6835, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6836 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6836, expected_value: E12000006, label: geography} + - {column: D, row: 6836, expected_value: Males, label: sex} + - {column: E, row: 6836, expected_value: Employee, label: employment type} + - {column: J, row: 6836, expected_value: Value, label: measure} + - {column: L, row: 6837, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6838 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6838, expected_value: E12000006, label: geography} + - {column: D, row: 6838, expected_value: Males, label: sex} + - {column: E, row: 6838, expected_value: Employee, label: employment type} + - {column: J, row: 6838, expected_value: Value, label: measure} + - {column: L, row: 6839, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6840 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6840, expected_value: E12000006, label: geography} + - {column: D, row: 6840, expected_value: Males, label: sex} + - {column: E, row: 6840, expected_value: Employee, label: employment type} + - {column: J, row: 6840, expected_value: Value, label: measure} + - {column: L, row: 6841, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6771 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6771, expected_value: E12000006, label: geography} + - {column: D, row: 6771, expected_value: Males, label: sex} + - {column: E, row: 6771, expected_value: Employee, label: employment type} + - {column: J, row: 6771, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6773 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6773, expected_value: E12000006, label: geography} + - {column: D, row: 6773, expected_value: Males, label: sex} + - {column: E, row: 6773, expected_value: Employee, label: employment type} + - {column: J, row: 6773, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6775 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6775, expected_value: E12000006, label: geography} + - {column: D, row: 6775, expected_value: Males, label: sex} + - {column: E, row: 6775, expected_value: Employee, label: employment type} + - {column: J, row: 6775, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6777 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6777, expected_value: E12000006, label: geography} + - {column: D, row: 6777, expected_value: Males, label: sex} + - {column: E, row: 6777, expected_value: Employee, label: employment type} + - {column: J, row: 6777, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6779 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6779, expected_value: E12000006, label: geography} + - {column: D, row: 6779, expected_value: Males, label: sex} + - {column: E, row: 6779, expected_value: Employee, label: employment type} + - {column: J, row: 6779, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6781 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6781, expected_value: E12000006, label: geography} + - {column: D, row: 6781, expected_value: Males, label: sex} + - {column: E, row: 6781, expected_value: Employee, label: employment type} + - {column: J, row: 6781, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6783 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6783, expected_value: E12000006, label: geography} + - {column: D, row: 6783, expected_value: Males, label: sex} + - {column: E, row: 6783, expected_value: Employee, label: employment type} + - {column: J, row: 6783, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6785 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6785, expected_value: E12000006, label: geography} + - {column: D, row: 6785, expected_value: Males, label: sex} + - {column: E, row: 6785, expected_value: Employee, label: employment type} + - {column: J, row: 6785, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6787 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6787, expected_value: E12000006, label: geography} + - {column: D, row: 6787, expected_value: Males, label: sex} + - {column: E, row: 6787, expected_value: Employee, label: employment type} + - {column: J, row: 6787, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6789 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6789, expected_value: E12000006, label: geography} + - {column: D, row: 6789, expected_value: Males, label: sex} + - {column: E, row: 6789, expected_value: Employee, label: employment type} + - {column: J, row: 6789, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6791 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6791, expected_value: E12000006, label: geography} + - {column: D, row: 6791, expected_value: Males, label: sex} + - {column: E, row: 6791, expected_value: Employee, label: employment type} + - {column: J, row: 6791, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6793 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6793, expected_value: E12000006, label: geography} + - {column: D, row: 6793, expected_value: Males, label: sex} + - {column: E, row: 6793, expected_value: Employee, label: employment type} + - {column: J, row: 6793, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6795 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6795, expected_value: E12000006, label: geography} + - {column: D, row: 6795, expected_value: Males, label: sex} + - {column: E, row: 6795, expected_value: Employee, label: employment type} + - {column: J, row: 6795, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6797 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6797, expected_value: E12000006, label: geography} + - {column: D, row: 6797, expected_value: Males, label: sex} + - {column: E, row: 6797, expected_value: Employee, label: employment type} + - {column: J, row: 6797, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6799 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6799, expected_value: E12000006, label: geography} + - {column: D, row: 6799, expected_value: Males, label: sex} + - {column: E, row: 6799, expected_value: Employee, label: employment type} + - {column: J, row: 6799, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6801 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6801, expected_value: E12000006, label: geography} + - {column: D, row: 6801, expected_value: Males, label: sex} + - {column: E, row: 6801, expected_value: Employee, label: employment type} + - {column: J, row: 6801, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6803 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6803, expected_value: E12000006, label: geography} + - {column: D, row: 6803, expected_value: Males, label: sex} + - {column: E, row: 6803, expected_value: Employee, label: employment type} + - {column: J, row: 6803, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6807 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6807, expected_value: E12000006, label: geography} + - {column: D, row: 6807, expected_value: Males, label: sex} + - {column: E, row: 6807, expected_value: Employee, label: employment type} + - {column: J, row: 6807, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6809 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6809, expected_value: E12000006, label: geography} + - {column: D, row: 6809, expected_value: Males, label: sex} + - {column: E, row: 6809, expected_value: Employee, label: employment type} + - {column: J, row: 6809, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6811 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6811, expected_value: E12000006, label: geography} + - {column: D, row: 6811, expected_value: Males, label: sex} + - {column: E, row: 6811, expected_value: Employee, label: employment type} + - {column: J, row: 6811, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6813 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6813, expected_value: E12000006, label: geography} + - {column: D, row: 6813, expected_value: Males, label: sex} + - {column: E, row: 6813, expected_value: Employee, label: employment type} + - {column: J, row: 6813, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6815 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6815, expected_value: E12000006, label: geography} + - {column: D, row: 6815, expected_value: Males, label: sex} + - {column: E, row: 6815, expected_value: Employee, label: employment type} + - {column: J, row: 6815, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6817 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6817, expected_value: E12000006, label: geography} + - {column: D, row: 6817, expected_value: Males, label: sex} + - {column: E, row: 6817, expected_value: Employee, label: employment type} + - {column: J, row: 6817, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6819 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6819, expected_value: E12000006, label: geography} + - {column: D, row: 6819, expected_value: Males, label: sex} + - {column: E, row: 6819, expected_value: Employee, label: employment type} + - {column: J, row: 6819, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6821 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6821, expected_value: E12000006, label: geography} + - {column: D, row: 6821, expected_value: Males, label: sex} + - {column: E, row: 6821, expected_value: Employee, label: employment type} + - {column: J, row: 6821, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6825 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6825, expected_value: E12000006, label: geography} + - {column: D, row: 6825, expected_value: Males, label: sex} + - {column: E, row: 6825, expected_value: Employee, label: employment type} + - {column: J, row: 6825, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6827 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6827, expected_value: E12000006, label: geography} + - {column: D, row: 6827, expected_value: Males, label: sex} + - {column: E, row: 6827, expected_value: Employee, label: employment type} + - {column: J, row: 6827, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6829 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6829, expected_value: E12000006, label: geography} + - {column: D, row: 6829, expected_value: Males, label: sex} + - {column: E, row: 6829, expected_value: Employee, label: employment type} + - {column: J, row: 6829, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6831 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6831, expected_value: E12000006, label: geography} + - {column: D, row: 6831, expected_value: Males, label: sex} + - {column: E, row: 6831, expected_value: Employee, label: employment type} + - {column: J, row: 6831, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6833 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6833, expected_value: E12000006, label: geography} + - {column: D, row: 6833, expected_value: Males, label: sex} + - {column: E, row: 6833, expected_value: Employee, label: employment type} + - {column: J, row: 6833, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6835 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6835, expected_value: E12000006, label: geography} + - {column: D, row: 6835, expected_value: Males, label: sex} + - {column: E, row: 6835, expected_value: Employee, label: employment type} + - {column: J, row: 6835, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6837 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6837, expected_value: E12000006, label: geography} + - {column: D, row: 6837, expected_value: Males, label: sex} + - {column: E, row: 6837, expected_value: Employee, label: employment type} + - {column: J, row: 6837, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6839 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6839, expected_value: E12000006, label: geography} + - {column: D, row: 6839, expected_value: Males, label: sex} + - {column: E, row: 6839, expected_value: Employee, label: employment type} + - {column: J, row: 6839, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6841 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6841, expected_value: E12000006, label: geography} + - {column: D, row: 6841, expected_value: Males, label: sex} + - {column: E, row: 6841, expected_value: Employee, label: employment type} + - {column: J, row: 6841, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6986 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6986, expected_value: E12000006, label: geography} + - {column: D, row: 6986, expected_value: Males, label: sex} + - {column: E, row: 6986, expected_value: Self-employed, label: employment type} + - {column: J, row: 6986, expected_value: Value, label: measure} + - {column: L, row: 6987, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6988 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6988, expected_value: E12000006, label: geography} + - {column: D, row: 6988, expected_value: Males, label: sex} + - {column: E, row: 6988, expected_value: Self-employed, label: employment type} + - {column: J, row: 6988, expected_value: Value, label: measure} + - {column: L, row: 6989, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6990 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6990, expected_value: E12000006, label: geography} + - {column: D, row: 6990, expected_value: Males, label: sex} + - {column: E, row: 6990, expected_value: Self-employed, label: employment type} + - {column: J, row: 6990, expected_value: Value, label: measure} + - {column: L, row: 6991, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6992 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6992, expected_value: E12000006, label: geography} + - {column: D, row: 6992, expected_value: Males, label: sex} + - {column: E, row: 6992, expected_value: Self-employed, label: employment type} + - {column: J, row: 6992, expected_value: Value, label: measure} + - {column: L, row: 6993, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6994 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6994, expected_value: E12000006, label: geography} + - {column: D, row: 6994, expected_value: Males, label: sex} + - {column: E, row: 6994, expected_value: Self-employed, label: employment type} + - {column: J, row: 6994, expected_value: Value, label: measure} + - {column: L, row: 6995, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6996 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6996, expected_value: E12000006, label: geography} + - {column: D, row: 6996, expected_value: Males, label: sex} + - {column: E, row: 6996, expected_value: Self-employed, label: employment type} + - {column: J, row: 6996, expected_value: Value, label: measure} + - {column: L, row: 6997, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6998 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6998, expected_value: E12000006, label: geography} + - {column: D, row: 6998, expected_value: Males, label: sex} + - {column: E, row: 6998, expected_value: Self-employed, label: employment type} + - {column: J, row: 6998, expected_value: Value, label: measure} + - {column: L, row: 6999, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7000 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7000, expected_value: E12000006, label: geography} + - {column: D, row: 7000, expected_value: Males, label: sex} + - {column: E, row: 7000, expected_value: Self-employed, label: employment type} + - {column: J, row: 7000, expected_value: Value, label: measure} + - {column: L, row: 7001, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7002 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7002, expected_value: E12000006, label: geography} + - {column: D, row: 7002, expected_value: Males, label: sex} + - {column: E, row: 7002, expected_value: Self-employed, label: employment type} + - {column: J, row: 7002, expected_value: Value, label: measure} + - {column: L, row: 7003, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7004 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7004, expected_value: E12000006, label: geography} + - {column: D, row: 7004, expected_value: Males, label: sex} + - {column: E, row: 7004, expected_value: Self-employed, label: employment type} + - {column: J, row: 7004, expected_value: Value, label: measure} + - {column: L, row: 7005, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7006 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7006, expected_value: E12000006, label: geography} + - {column: D, row: 7006, expected_value: Males, label: sex} + - {column: E, row: 7006, expected_value: Self-employed, label: employment type} + - {column: J, row: 7006, expected_value: Value, label: measure} + - {column: L, row: 7007, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7008 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7008, expected_value: E12000006, label: geography} + - {column: D, row: 7008, expected_value: Males, label: sex} + - {column: E, row: 7008, expected_value: Self-employed, label: employment type} + - {column: J, row: 7008, expected_value: Value, label: measure} + - {column: L, row: 7009, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7012 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7012, expected_value: E12000006, label: geography} + - {column: D, row: 7012, expected_value: Males, label: sex} + - {column: E, row: 7012, expected_value: Self-employed, label: employment type} + - {column: J, row: 7012, expected_value: Value, label: measure} + - {column: L, row: 7013, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7014 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7014, expected_value: E12000006, label: geography} + - {column: D, row: 7014, expected_value: Males, label: sex} + - {column: E, row: 7014, expected_value: Self-employed, label: employment type} + - {column: J, row: 7014, expected_value: Value, label: measure} + - {column: L, row: 7015, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7016 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7016, expected_value: E12000006, label: geography} + - {column: D, row: 7016, expected_value: Males, label: sex} + - {column: E, row: 7016, expected_value: Self-employed, label: employment type} + - {column: J, row: 7016, expected_value: Value, label: measure} + - {column: L, row: 7017, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7018 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7018, expected_value: E12000006, label: geography} + - {column: D, row: 7018, expected_value: Males, label: sex} + - {column: E, row: 7018, expected_value: Self-employed, label: employment type} + - {column: J, row: 7018, expected_value: Value, label: measure} + - {column: L, row: 7019, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7022 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7022, expected_value: E12000006, label: geography} + - {column: D, row: 7022, expected_value: Males, label: sex} + - {column: E, row: 7022, expected_value: Self-employed, label: employment type} + - {column: J, row: 7022, expected_value: Value, label: measure} + - {column: L, row: 7023, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7024 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7024, expected_value: E12000006, label: geography} + - {column: D, row: 7024, expected_value: Males, label: sex} + - {column: E, row: 7024, expected_value: Self-employed, label: employment type} + - {column: J, row: 7024, expected_value: Value, label: measure} + - {column: L, row: 7025, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7026 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7026, expected_value: E12000006, label: geography} + - {column: D, row: 7026, expected_value: Males, label: sex} + - {column: E, row: 7026, expected_value: Self-employed, label: employment type} + - {column: J, row: 7026, expected_value: Value, label: measure} + - {column: L, row: 7027, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7028 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7028, expected_value: E12000006, label: geography} + - {column: D, row: 7028, expected_value: Males, label: sex} + - {column: E, row: 7028, expected_value: Self-employed, label: employment type} + - {column: J, row: 7028, expected_value: Value, label: measure} + - {column: L, row: 7029, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7030 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7030, expected_value: E12000006, label: geography} + - {column: D, row: 7030, expected_value: Males, label: sex} + - {column: E, row: 7030, expected_value: Self-employed, label: employment type} + - {column: J, row: 7030, expected_value: Value, label: measure} + - {column: L, row: 7031, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7032 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7032, expected_value: E12000006, label: geography} + - {column: D, row: 7032, expected_value: Males, label: sex} + - {column: E, row: 7032, expected_value: Self-employed, label: employment type} + - {column: J, row: 7032, expected_value: Value, label: measure} + - {column: L, row: 7033, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7034 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7034, expected_value: E12000006, label: geography} + - {column: D, row: 7034, expected_value: Males, label: sex} + - {column: E, row: 7034, expected_value: Self-employed, label: employment type} + - {column: J, row: 7034, expected_value: Value, label: measure} + - {column: L, row: 7035, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7036 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7036, expected_value: E12000006, label: geography} + - {column: D, row: 7036, expected_value: Males, label: sex} + - {column: E, row: 7036, expected_value: Self-employed, label: employment type} + - {column: J, row: 7036, expected_value: Value, label: measure} + - {column: L, row: 7037, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7040 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7040, expected_value: E12000006, label: geography} + - {column: D, row: 7040, expected_value: Males, label: sex} + - {column: E, row: 7040, expected_value: Self-employed, label: employment type} + - {column: J, row: 7040, expected_value: Value, label: measure} + - {column: L, row: 7041, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7042 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7042, expected_value: E12000006, label: geography} + - {column: D, row: 7042, expected_value: Males, label: sex} + - {column: E, row: 7042, expected_value: Self-employed, label: employment type} + - {column: J, row: 7042, expected_value: Value, label: measure} + - {column: L, row: 7043, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7044 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7044, expected_value: E12000006, label: geography} + - {column: D, row: 7044, expected_value: Males, label: sex} + - {column: E, row: 7044, expected_value: Self-employed, label: employment type} + - {column: J, row: 7044, expected_value: Value, label: measure} + - {column: L, row: 7045, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7046 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7046, expected_value: E12000006, label: geography} + - {column: D, row: 7046, expected_value: Males, label: sex} + - {column: E, row: 7046, expected_value: Self-employed, label: employment type} + - {column: J, row: 7046, expected_value: Value, label: measure} + - {column: L, row: 7047, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7048 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7048, expected_value: E12000006, label: geography} + - {column: D, row: 7048, expected_value: Males, label: sex} + - {column: E, row: 7048, expected_value: Self-employed, label: employment type} + - {column: J, row: 7048, expected_value: Value, label: measure} + - {column: L, row: 7049, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7050 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7050, expected_value: E12000006, label: geography} + - {column: D, row: 7050, expected_value: Males, label: sex} + - {column: E, row: 7050, expected_value: Self-employed, label: employment type} + - {column: J, row: 7050, expected_value: Value, label: measure} + - {column: L, row: 7051, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7052 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7052, expected_value: E12000006, label: geography} + - {column: D, row: 7052, expected_value: Males, label: sex} + - {column: E, row: 7052, expected_value: Self-employed, label: employment type} + - {column: J, row: 7052, expected_value: Value, label: measure} + - {column: L, row: 7053, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7054 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7054, expected_value: E12000006, label: geography} + - {column: D, row: 7054, expected_value: Males, label: sex} + - {column: E, row: 7054, expected_value: Self-employed, label: employment type} + - {column: J, row: 7054, expected_value: Value, label: measure} + - {column: L, row: 7055, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7056 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7056, expected_value: E12000006, label: geography} + - {column: D, row: 7056, expected_value: Males, label: sex} + - {column: E, row: 7056, expected_value: Self-employed, label: employment type} + - {column: J, row: 7056, expected_value: Value, label: measure} + - {column: L, row: 7057, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6987 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6987, expected_value: E12000006, label: geography} + - {column: D, row: 6987, expected_value: Males, label: sex} + - {column: E, row: 6987, expected_value: Self-employed, label: employment type} + - {column: J, row: 6987, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6989 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6989, expected_value: E12000006, label: geography} + - {column: D, row: 6989, expected_value: Males, label: sex} + - {column: E, row: 6989, expected_value: Self-employed, label: employment type} + - {column: J, row: 6989, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6991 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6991, expected_value: E12000006, label: geography} + - {column: D, row: 6991, expected_value: Males, label: sex} + - {column: E, row: 6991, expected_value: Self-employed, label: employment type} + - {column: J, row: 6991, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6993 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6993, expected_value: E12000006, label: geography} + - {column: D, row: 6993, expected_value: Males, label: sex} + - {column: E, row: 6993, expected_value: Self-employed, label: employment type} + - {column: J, row: 6993, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6995 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6995, expected_value: E12000006, label: geography} + - {column: D, row: 6995, expected_value: Males, label: sex} + - {column: E, row: 6995, expected_value: Self-employed, label: employment type} + - {column: J, row: 6995, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6997 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6997, expected_value: E12000006, label: geography} + - {column: D, row: 6997, expected_value: Males, label: sex} + - {column: E, row: 6997, expected_value: Self-employed, label: employment type} + - {column: J, row: 6997, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7001 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7001, expected_value: E12000006, label: geography} + - {column: D, row: 7001, expected_value: Males, label: sex} + - {column: E, row: 7001, expected_value: Self-employed, label: employment type} + - {column: J, row: 7001, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7003 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7003, expected_value: E12000006, label: geography} + - {column: D, row: 7003, expected_value: Males, label: sex} + - {column: E, row: 7003, expected_value: Self-employed, label: employment type} + - {column: J, row: 7003, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7005 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7005, expected_value: E12000006, label: geography} + - {column: D, row: 7005, expected_value: Males, label: sex} + - {column: E, row: 7005, expected_value: Self-employed, label: employment type} + - {column: J, row: 7005, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7013 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7013, expected_value: E12000006, label: geography} + - {column: D, row: 7013, expected_value: Males, label: sex} + - {column: E, row: 7013, expected_value: Self-employed, label: employment type} + - {column: J, row: 7013, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7015 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7015, expected_value: E12000006, label: geography} + - {column: D, row: 7015, expected_value: Males, label: sex} + - {column: E, row: 7015, expected_value: Self-employed, label: employment type} + - {column: J, row: 7015, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7023 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7023, expected_value: E12000006, label: geography} + - {column: D, row: 7023, expected_value: Males, label: sex} + - {column: E, row: 7023, expected_value: Self-employed, label: employment type} + - {column: J, row: 7023, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7025 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7025, expected_value: E12000006, label: geography} + - {column: D, row: 7025, expected_value: Males, label: sex} + - {column: E, row: 7025, expected_value: Self-employed, label: employment type} + - {column: J, row: 7025, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7027 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7027, expected_value: E12000006, label: geography} + - {column: D, row: 7027, expected_value: Males, label: sex} + - {column: E, row: 7027, expected_value: Self-employed, label: employment type} + - {column: J, row: 7027, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7029 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7029, expected_value: E12000006, label: geography} + - {column: D, row: 7029, expected_value: Males, label: sex} + - {column: E, row: 7029, expected_value: Self-employed, label: employment type} + - {column: J, row: 7029, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7031 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7031, expected_value: E12000006, label: geography} + - {column: D, row: 7031, expected_value: Males, label: sex} + - {column: E, row: 7031, expected_value: Self-employed, label: employment type} + - {column: J, row: 7031, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7033 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7033, expected_value: E12000006, label: geography} + - {column: D, row: 7033, expected_value: Males, label: sex} + - {column: E, row: 7033, expected_value: Self-employed, label: employment type} + - {column: J, row: 7033, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7041 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7041, expected_value: E12000006, label: geography} + - {column: D, row: 7041, expected_value: Males, label: sex} + - {column: E, row: 7041, expected_value: Self-employed, label: employment type} + - {column: J, row: 7041, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7043 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7043, expected_value: E12000006, label: geography} + - {column: D, row: 7043, expected_value: Males, label: sex} + - {column: E, row: 7043, expected_value: Self-employed, label: employment type} + - {column: J, row: 7043, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7047 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7047, expected_value: E12000006, label: geography} + - {column: D, row: 7047, expected_value: Males, label: sex} + - {column: E, row: 7047, expected_value: Self-employed, label: employment type} + - {column: J, row: 7047, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7049 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7049, expected_value: E12000006, label: geography} + - {column: D, row: 7049, expected_value: Males, label: sex} + - {column: E, row: 7049, expected_value: Self-employed, label: employment type} + - {column: J, row: 7049, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7051 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7051, expected_value: E12000006, label: geography} + - {column: D, row: 7051, expected_value: Males, label: sex} + - {column: E, row: 7051, expected_value: Self-employed, label: employment type} + - {column: J, row: 7051, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7053 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7053, expected_value: E12000006, label: geography} + - {column: D, row: 7053, expected_value: Males, label: sex} + - {column: E, row: 7053, expected_value: Self-employed, label: employment type} + - {column: J, row: 7053, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7055 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7055, expected_value: E12000006, label: geography} + - {column: D, row: 7055, expected_value: Males, label: sex} + - {column: E, row: 7055, expected_value: Self-employed, label: employment type} + - {column: J, row: 7055, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7057 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7057, expected_value: E12000006, label: geography} + - {column: D, row: 7057, expected_value: Males, label: sex} + - {column: E, row: 7057, expected_value: Self-employed, label: employment type} + - {column: J, row: 7057, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6626 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6626, expected_value: E12000006, label: geography} + - {column: D, row: 6626, expected_value: Females, label: sex} + - {column: E, row: 6626, expected_value: Total, label: employment type} + - {column: J, row: 6626, expected_value: Value, label: measure} + - {column: L, row: 6627, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6628 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6628, expected_value: E12000006, label: geography} + - {column: D, row: 6628, expected_value: Females, label: sex} + - {column: E, row: 6628, expected_value: Total, label: employment type} + - {column: J, row: 6628, expected_value: Value, label: measure} + - {column: L, row: 6629, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6630 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6630, expected_value: E12000006, label: geography} + - {column: D, row: 6630, expected_value: Females, label: sex} + - {column: E, row: 6630, expected_value: Total, label: employment type} + - {column: J, row: 6630, expected_value: Value, label: measure} + - {column: L, row: 6631, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6632 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6632, expected_value: E12000006, label: geography} + - {column: D, row: 6632, expected_value: Females, label: sex} + - {column: E, row: 6632, expected_value: Total, label: employment type} + - {column: J, row: 6632, expected_value: Value, label: measure} + - {column: L, row: 6633, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6634 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6634, expected_value: E12000006, label: geography} + - {column: D, row: 6634, expected_value: Females, label: sex} + - {column: E, row: 6634, expected_value: Total, label: employment type} + - {column: J, row: 6634, expected_value: Value, label: measure} + - {column: L, row: 6635, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6636 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6636, expected_value: E12000006, label: geography} + - {column: D, row: 6636, expected_value: Females, label: sex} + - {column: E, row: 6636, expected_value: Total, label: employment type} + - {column: J, row: 6636, expected_value: Value, label: measure} + - {column: L, row: 6637, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6638 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6638, expected_value: E12000006, label: geography} + - {column: D, row: 6638, expected_value: Females, label: sex} + - {column: E, row: 6638, expected_value: Total, label: employment type} + - {column: J, row: 6638, expected_value: Value, label: measure} + - {column: L, row: 6639, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6640 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6640, expected_value: E12000006, label: geography} + - {column: D, row: 6640, expected_value: Females, label: sex} + - {column: E, row: 6640, expected_value: Total, label: employment type} + - {column: J, row: 6640, expected_value: Value, label: measure} + - {column: L, row: 6641, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6642 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6642, expected_value: E12000006, label: geography} + - {column: D, row: 6642, expected_value: Females, label: sex} + - {column: E, row: 6642, expected_value: Total, label: employment type} + - {column: J, row: 6642, expected_value: Value, label: measure} + - {column: L, row: 6643, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6644 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6644, expected_value: E12000006, label: geography} + - {column: D, row: 6644, expected_value: Females, label: sex} + - {column: E, row: 6644, expected_value: Total, label: employment type} + - {column: J, row: 6644, expected_value: Value, label: measure} + - {column: L, row: 6645, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6646 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6646, expected_value: E12000006, label: geography} + - {column: D, row: 6646, expected_value: Females, label: sex} + - {column: E, row: 6646, expected_value: Total, label: employment type} + - {column: J, row: 6646, expected_value: Value, label: measure} + - {column: L, row: 6647, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6648 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6648, expected_value: E12000006, label: geography} + - {column: D, row: 6648, expected_value: Females, label: sex} + - {column: E, row: 6648, expected_value: Total, label: employment type} + - {column: J, row: 6648, expected_value: Value, label: measure} + - {column: L, row: 6649, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6650 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6650, expected_value: E12000006, label: geography} + - {column: D, row: 6650, expected_value: Females, label: sex} + - {column: E, row: 6650, expected_value: Total, label: employment type} + - {column: J, row: 6650, expected_value: Value, label: measure} + - {column: L, row: 6651, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6652 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6652, expected_value: E12000006, label: geography} + - {column: D, row: 6652, expected_value: Females, label: sex} + - {column: E, row: 6652, expected_value: Total, label: employment type} + - {column: J, row: 6652, expected_value: Value, label: measure} + - {column: L, row: 6653, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6654 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6654, expected_value: E12000006, label: geography} + - {column: D, row: 6654, expected_value: Females, label: sex} + - {column: E, row: 6654, expected_value: Total, label: employment type} + - {column: J, row: 6654, expected_value: Value, label: measure} + - {column: L, row: 6655, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6656 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6656, expected_value: E12000006, label: geography} + - {column: D, row: 6656, expected_value: Females, label: sex} + - {column: E, row: 6656, expected_value: Total, label: employment type} + - {column: J, row: 6656, expected_value: Value, label: measure} + - {column: L, row: 6657, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6658 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6658, expected_value: E12000006, label: geography} + - {column: D, row: 6658, expected_value: Females, label: sex} + - {column: E, row: 6658, expected_value: Total, label: employment type} + - {column: J, row: 6658, expected_value: Value, label: measure} + - {column: L, row: 6659, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6660 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6660, expected_value: E12000006, label: geography} + - {column: D, row: 6660, expected_value: Females, label: sex} + - {column: E, row: 6660, expected_value: Total, label: employment type} + - {column: J, row: 6660, expected_value: Value, label: measure} + - {column: L, row: 6661, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6662 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6662, expected_value: E12000006, label: geography} + - {column: D, row: 6662, expected_value: Females, label: sex} + - {column: E, row: 6662, expected_value: Total, label: employment type} + - {column: J, row: 6662, expected_value: Value, label: measure} + - {column: L, row: 6663, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6664 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6664, expected_value: E12000006, label: geography} + - {column: D, row: 6664, expected_value: Females, label: sex} + - {column: E, row: 6664, expected_value: Total, label: employment type} + - {column: J, row: 6664, expected_value: Value, label: measure} + - {column: L, row: 6665, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6666 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6666, expected_value: E12000006, label: geography} + - {column: D, row: 6666, expected_value: Females, label: sex} + - {column: E, row: 6666, expected_value: Total, label: employment type} + - {column: J, row: 6666, expected_value: Value, label: measure} + - {column: L, row: 6667, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6668 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6668, expected_value: E12000006, label: geography} + - {column: D, row: 6668, expected_value: Females, label: sex} + - {column: E, row: 6668, expected_value: Total, label: employment type} + - {column: J, row: 6668, expected_value: Value, label: measure} + - {column: L, row: 6669, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6670 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6670, expected_value: E12000006, label: geography} + - {column: D, row: 6670, expected_value: Females, label: sex} + - {column: E, row: 6670, expected_value: Total, label: employment type} + - {column: J, row: 6670, expected_value: Value, label: measure} + - {column: L, row: 6671, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6672 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6672, expected_value: E12000006, label: geography} + - {column: D, row: 6672, expected_value: Females, label: sex} + - {column: E, row: 6672, expected_value: Total, label: employment type} + - {column: J, row: 6672, expected_value: Value, label: measure} + - {column: L, row: 6673, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6674 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6674, expected_value: E12000006, label: geography} + - {column: D, row: 6674, expected_value: Females, label: sex} + - {column: E, row: 6674, expected_value: Total, label: employment type} + - {column: J, row: 6674, expected_value: Value, label: measure} + - {column: L, row: 6675, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6676 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6676, expected_value: E12000006, label: geography} + - {column: D, row: 6676, expected_value: Females, label: sex} + - {column: E, row: 6676, expected_value: Total, label: employment type} + - {column: J, row: 6676, expected_value: Value, label: measure} + - {column: L, row: 6677, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6680 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6680, expected_value: E12000006, label: geography} + - {column: D, row: 6680, expected_value: Females, label: sex} + - {column: E, row: 6680, expected_value: Total, label: employment type} + - {column: J, row: 6680, expected_value: Value, label: measure} + - {column: L, row: 6681, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6682 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6682, expected_value: E12000006, label: geography} + - {column: D, row: 6682, expected_value: Females, label: sex} + - {column: E, row: 6682, expected_value: Total, label: employment type} + - {column: J, row: 6682, expected_value: Value, label: measure} + - {column: L, row: 6683, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6684 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6684, expected_value: E12000006, label: geography} + - {column: D, row: 6684, expected_value: Females, label: sex} + - {column: E, row: 6684, expected_value: Total, label: employment type} + - {column: J, row: 6684, expected_value: Value, label: measure} + - {column: L, row: 6685, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6686 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6686, expected_value: E12000006, label: geography} + - {column: D, row: 6686, expected_value: Females, label: sex} + - {column: E, row: 6686, expected_value: Total, label: employment type} + - {column: J, row: 6686, expected_value: Value, label: measure} + - {column: L, row: 6687, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6688 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6688, expected_value: E12000006, label: geography} + - {column: D, row: 6688, expected_value: Females, label: sex} + - {column: E, row: 6688, expected_value: Total, label: employment type} + - {column: J, row: 6688, expected_value: Value, label: measure} + - {column: L, row: 6689, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6690 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6690, expected_value: E12000006, label: geography} + - {column: D, row: 6690, expected_value: Females, label: sex} + - {column: E, row: 6690, expected_value: Total, label: employment type} + - {column: J, row: 6690, expected_value: Value, label: measure} + - {column: L, row: 6691, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6692 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6692, expected_value: E12000006, label: geography} + - {column: D, row: 6692, expected_value: Females, label: sex} + - {column: E, row: 6692, expected_value: Total, label: employment type} + - {column: J, row: 6692, expected_value: Value, label: measure} + - {column: L, row: 6693, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6694 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6694, expected_value: E12000006, label: geography} + - {column: D, row: 6694, expected_value: Females, label: sex} + - {column: E, row: 6694, expected_value: Total, label: employment type} + - {column: J, row: 6694, expected_value: Value, label: measure} + - {column: L, row: 6695, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6696 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6696, expected_value: E12000006, label: geography} + - {column: D, row: 6696, expected_value: Females, label: sex} + - {column: E, row: 6696, expected_value: Total, label: employment type} + - {column: J, row: 6696, expected_value: Value, label: measure} + - {column: L, row: 6697, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6627 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6627, expected_value: E12000006, label: geography} + - {column: D, row: 6627, expected_value: Females, label: sex} + - {column: E, row: 6627, expected_value: Total, label: employment type} + - {column: J, row: 6627, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6629 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6629, expected_value: E12000006, label: geography} + - {column: D, row: 6629, expected_value: Females, label: sex} + - {column: E, row: 6629, expected_value: Total, label: employment type} + - {column: J, row: 6629, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6631 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6631, expected_value: E12000006, label: geography} + - {column: D, row: 6631, expected_value: Females, label: sex} + - {column: E, row: 6631, expected_value: Total, label: employment type} + - {column: J, row: 6631, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6633 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6633, expected_value: E12000006, label: geography} + - {column: D, row: 6633, expected_value: Females, label: sex} + - {column: E, row: 6633, expected_value: Total, label: employment type} + - {column: J, row: 6633, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6635 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6635, expected_value: E12000006, label: geography} + - {column: D, row: 6635, expected_value: Females, label: sex} + - {column: E, row: 6635, expected_value: Total, label: employment type} + - {column: J, row: 6635, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6637 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6637, expected_value: E12000006, label: geography} + - {column: D, row: 6637, expected_value: Females, label: sex} + - {column: E, row: 6637, expected_value: Total, label: employment type} + - {column: J, row: 6637, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6639 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6639, expected_value: E12000006, label: geography} + - {column: D, row: 6639, expected_value: Females, label: sex} + - {column: E, row: 6639, expected_value: Total, label: employment type} + - {column: J, row: 6639, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6641 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6641, expected_value: E12000006, label: geography} + - {column: D, row: 6641, expected_value: Females, label: sex} + - {column: E, row: 6641, expected_value: Total, label: employment type} + - {column: J, row: 6641, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6643 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6643, expected_value: E12000006, label: geography} + - {column: D, row: 6643, expected_value: Females, label: sex} + - {column: E, row: 6643, expected_value: Total, label: employment type} + - {column: J, row: 6643, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6645 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6645, expected_value: E12000006, label: geography} + - {column: D, row: 6645, expected_value: Females, label: sex} + - {column: E, row: 6645, expected_value: Total, label: employment type} + - {column: J, row: 6645, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6647 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6647, expected_value: E12000006, label: geography} + - {column: D, row: 6647, expected_value: Females, label: sex} + - {column: E, row: 6647, expected_value: Total, label: employment type} + - {column: J, row: 6647, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6649 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6649, expected_value: E12000006, label: geography} + - {column: D, row: 6649, expected_value: Females, label: sex} + - {column: E, row: 6649, expected_value: Total, label: employment type} + - {column: J, row: 6649, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6651 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6651, expected_value: E12000006, label: geography} + - {column: D, row: 6651, expected_value: Females, label: sex} + - {column: E, row: 6651, expected_value: Total, label: employment type} + - {column: J, row: 6651, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6653 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6653, expected_value: E12000006, label: geography} + - {column: D, row: 6653, expected_value: Females, label: sex} + - {column: E, row: 6653, expected_value: Total, label: employment type} + - {column: J, row: 6653, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6655 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6655, expected_value: E12000006, label: geography} + - {column: D, row: 6655, expected_value: Females, label: sex} + - {column: E, row: 6655, expected_value: Total, label: employment type} + - {column: J, row: 6655, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6657 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6657, expected_value: E12000006, label: geography} + - {column: D, row: 6657, expected_value: Females, label: sex} + - {column: E, row: 6657, expected_value: Total, label: employment type} + - {column: J, row: 6657, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6659 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6659, expected_value: E12000006, label: geography} + - {column: D, row: 6659, expected_value: Females, label: sex} + - {column: E, row: 6659, expected_value: Total, label: employment type} + - {column: J, row: 6659, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6661 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6661, expected_value: E12000006, label: geography} + - {column: D, row: 6661, expected_value: Females, label: sex} + - {column: E, row: 6661, expected_value: Total, label: employment type} + - {column: J, row: 6661, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6663 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6663, expected_value: E12000006, label: geography} + - {column: D, row: 6663, expected_value: Females, label: sex} + - {column: E, row: 6663, expected_value: Total, label: employment type} + - {column: J, row: 6663, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6665 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6665, expected_value: E12000006, label: geography} + - {column: D, row: 6665, expected_value: Females, label: sex} + - {column: E, row: 6665, expected_value: Total, label: employment type} + - {column: J, row: 6665, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6667 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6667, expected_value: E12000006, label: geography} + - {column: D, row: 6667, expected_value: Females, label: sex} + - {column: E, row: 6667, expected_value: Total, label: employment type} + - {column: J, row: 6667, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6671 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6671, expected_value: E12000006, label: geography} + - {column: D, row: 6671, expected_value: Females, label: sex} + - {column: E, row: 6671, expected_value: Total, label: employment type} + - {column: J, row: 6671, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6673 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6673, expected_value: E12000006, label: geography} + - {column: D, row: 6673, expected_value: Females, label: sex} + - {column: E, row: 6673, expected_value: Total, label: employment type} + - {column: J, row: 6673, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6675 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6675, expected_value: E12000006, label: geography} + - {column: D, row: 6675, expected_value: Females, label: sex} + - {column: E, row: 6675, expected_value: Total, label: employment type} + - {column: J, row: 6675, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6677 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6677, expected_value: E12000006, label: geography} + - {column: D, row: 6677, expected_value: Females, label: sex} + - {column: E, row: 6677, expected_value: Total, label: employment type} + - {column: J, row: 6677, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6681 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6681, expected_value: E12000006, label: geography} + - {column: D, row: 6681, expected_value: Females, label: sex} + - {column: E, row: 6681, expected_value: Total, label: employment type} + - {column: J, row: 6681, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6683 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6683, expected_value: E12000006, label: geography} + - {column: D, row: 6683, expected_value: Females, label: sex} + - {column: E, row: 6683, expected_value: Total, label: employment type} + - {column: J, row: 6683, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6685 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6685, expected_value: E12000006, label: geography} + - {column: D, row: 6685, expected_value: Females, label: sex} + - {column: E, row: 6685, expected_value: Total, label: employment type} + - {column: J, row: 6685, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6687 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6687, expected_value: E12000006, label: geography} + - {column: D, row: 6687, expected_value: Females, label: sex} + - {column: E, row: 6687, expected_value: Total, label: employment type} + - {column: J, row: 6687, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6689 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6689, expected_value: E12000006, label: geography} + - {column: D, row: 6689, expected_value: Females, label: sex} + - {column: E, row: 6689, expected_value: Total, label: employment type} + - {column: J, row: 6689, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6691 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6691, expected_value: E12000006, label: geography} + - {column: D, row: 6691, expected_value: Females, label: sex} + - {column: E, row: 6691, expected_value: Total, label: employment type} + - {column: J, row: 6691, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6693 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6693, expected_value: E12000006, label: geography} + - {column: D, row: 6693, expected_value: Females, label: sex} + - {column: E, row: 6693, expected_value: Total, label: employment type} + - {column: J, row: 6693, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6695 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6695, expected_value: E12000006, label: geography} + - {column: D, row: 6695, expected_value: Females, label: sex} + - {column: E, row: 6695, expected_value: Total, label: employment type} + - {column: J, row: 6695, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6697 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6697, expected_value: E12000006, label: geography} + - {column: D, row: 6697, expected_value: Females, label: sex} + - {column: E, row: 6697, expected_value: Total, label: employment type} + - {column: J, row: 6697, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6842 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6842, expected_value: E12000006, label: geography} + - {column: D, row: 6842, expected_value: Females, label: sex} + - {column: E, row: 6842, expected_value: Employee, label: employment type} + - {column: J, row: 6842, expected_value: Value, label: measure} + - {column: L, row: 6843, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6844 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6844, expected_value: E12000006, label: geography} + - {column: D, row: 6844, expected_value: Females, label: sex} + - {column: E, row: 6844, expected_value: Employee, label: employment type} + - {column: J, row: 6844, expected_value: Value, label: measure} + - {column: L, row: 6845, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6846 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6846, expected_value: E12000006, label: geography} + - {column: D, row: 6846, expected_value: Females, label: sex} + - {column: E, row: 6846, expected_value: Employee, label: employment type} + - {column: J, row: 6846, expected_value: Value, label: measure} + - {column: L, row: 6847, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6848 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6848, expected_value: E12000006, label: geography} + - {column: D, row: 6848, expected_value: Females, label: sex} + - {column: E, row: 6848, expected_value: Employee, label: employment type} + - {column: J, row: 6848, expected_value: Value, label: measure} + - {column: L, row: 6849, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6850 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6850, expected_value: E12000006, label: geography} + - {column: D, row: 6850, expected_value: Females, label: sex} + - {column: E, row: 6850, expected_value: Employee, label: employment type} + - {column: J, row: 6850, expected_value: Value, label: measure} + - {column: L, row: 6851, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6852 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6852, expected_value: E12000006, label: geography} + - {column: D, row: 6852, expected_value: Females, label: sex} + - {column: E, row: 6852, expected_value: Employee, label: employment type} + - {column: J, row: 6852, expected_value: Value, label: measure} + - {column: L, row: 6853, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6854 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6854, expected_value: E12000006, label: geography} + - {column: D, row: 6854, expected_value: Females, label: sex} + - {column: E, row: 6854, expected_value: Employee, label: employment type} + - {column: J, row: 6854, expected_value: Value, label: measure} + - {column: L, row: 6855, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6856 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6856, expected_value: E12000006, label: geography} + - {column: D, row: 6856, expected_value: Females, label: sex} + - {column: E, row: 6856, expected_value: Employee, label: employment type} + - {column: J, row: 6856, expected_value: Value, label: measure} + - {column: L, row: 6857, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6858 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6858, expected_value: E12000006, label: geography} + - {column: D, row: 6858, expected_value: Females, label: sex} + - {column: E, row: 6858, expected_value: Employee, label: employment type} + - {column: J, row: 6858, expected_value: Value, label: measure} + - {column: L, row: 6859, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6860 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6860, expected_value: E12000006, label: geography} + - {column: D, row: 6860, expected_value: Females, label: sex} + - {column: E, row: 6860, expected_value: Employee, label: employment type} + - {column: J, row: 6860, expected_value: Value, label: measure} + - {column: L, row: 6861, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6862 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6862, expected_value: E12000006, label: geography} + - {column: D, row: 6862, expected_value: Females, label: sex} + - {column: E, row: 6862, expected_value: Employee, label: employment type} + - {column: J, row: 6862, expected_value: Value, label: measure} + - {column: L, row: 6863, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6864 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6864, expected_value: E12000006, label: geography} + - {column: D, row: 6864, expected_value: Females, label: sex} + - {column: E, row: 6864, expected_value: Employee, label: employment type} + - {column: J, row: 6864, expected_value: Value, label: measure} + - {column: L, row: 6865, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6866 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6866, expected_value: E12000006, label: geography} + - {column: D, row: 6866, expected_value: Females, label: sex} + - {column: E, row: 6866, expected_value: Employee, label: employment type} + - {column: J, row: 6866, expected_value: Value, label: measure} + - {column: L, row: 6867, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6868 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6868, expected_value: E12000006, label: geography} + - {column: D, row: 6868, expected_value: Females, label: sex} + - {column: E, row: 6868, expected_value: Employee, label: employment type} + - {column: J, row: 6868, expected_value: Value, label: measure} + - {column: L, row: 6869, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6870 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6870, expected_value: E12000006, label: geography} + - {column: D, row: 6870, expected_value: Females, label: sex} + - {column: E, row: 6870, expected_value: Employee, label: employment type} + - {column: J, row: 6870, expected_value: Value, label: measure} + - {column: L, row: 6871, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6872 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6872, expected_value: E12000006, label: geography} + - {column: D, row: 6872, expected_value: Females, label: sex} + - {column: E, row: 6872, expected_value: Employee, label: employment type} + - {column: J, row: 6872, expected_value: Value, label: measure} + - {column: L, row: 6873, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6874 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6874, expected_value: E12000006, label: geography} + - {column: D, row: 6874, expected_value: Females, label: sex} + - {column: E, row: 6874, expected_value: Employee, label: employment type} + - {column: J, row: 6874, expected_value: Value, label: measure} + - {column: L, row: 6875, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6876 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6876, expected_value: E12000006, label: geography} + - {column: D, row: 6876, expected_value: Females, label: sex} + - {column: E, row: 6876, expected_value: Employee, label: employment type} + - {column: J, row: 6876, expected_value: Value, label: measure} + - {column: L, row: 6877, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6878 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6878, expected_value: E12000006, label: geography} + - {column: D, row: 6878, expected_value: Females, label: sex} + - {column: E, row: 6878, expected_value: Employee, label: employment type} + - {column: J, row: 6878, expected_value: Value, label: measure} + - {column: L, row: 6879, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6880 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6880, expected_value: E12000006, label: geography} + - {column: D, row: 6880, expected_value: Females, label: sex} + - {column: E, row: 6880, expected_value: Employee, label: employment type} + - {column: J, row: 6880, expected_value: Value, label: measure} + - {column: L, row: 6881, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6882 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6882, expected_value: E12000006, label: geography} + - {column: D, row: 6882, expected_value: Females, label: sex} + - {column: E, row: 6882, expected_value: Employee, label: employment type} + - {column: J, row: 6882, expected_value: Value, label: measure} + - {column: L, row: 6883, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6884 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6884, expected_value: E12000006, label: geography} + - {column: D, row: 6884, expected_value: Females, label: sex} + - {column: E, row: 6884, expected_value: Employee, label: employment type} + - {column: J, row: 6884, expected_value: Value, label: measure} + - {column: L, row: 6885, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6886 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6886, expected_value: E12000006, label: geography} + - {column: D, row: 6886, expected_value: Females, label: sex} + - {column: E, row: 6886, expected_value: Employee, label: employment type} + - {column: J, row: 6886, expected_value: Value, label: measure} + - {column: L, row: 6887, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6888 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6888, expected_value: E12000006, label: geography} + - {column: D, row: 6888, expected_value: Females, label: sex} + - {column: E, row: 6888, expected_value: Employee, label: employment type} + - {column: J, row: 6888, expected_value: Value, label: measure} + - {column: L, row: 6889, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6890 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6890, expected_value: E12000006, label: geography} + - {column: D, row: 6890, expected_value: Females, label: sex} + - {column: E, row: 6890, expected_value: Employee, label: employment type} + - {column: J, row: 6890, expected_value: Value, label: measure} + - {column: L, row: 6891, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6892 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6892, expected_value: E12000006, label: geography} + - {column: D, row: 6892, expected_value: Females, label: sex} + - {column: E, row: 6892, expected_value: Employee, label: employment type} + - {column: J, row: 6892, expected_value: Value, label: measure} + - {column: L, row: 6893, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6896 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6896, expected_value: E12000006, label: geography} + - {column: D, row: 6896, expected_value: Females, label: sex} + - {column: E, row: 6896, expected_value: Employee, label: employment type} + - {column: J, row: 6896, expected_value: Value, label: measure} + - {column: L, row: 6897, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6898 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6898, expected_value: E12000006, label: geography} + - {column: D, row: 6898, expected_value: Females, label: sex} + - {column: E, row: 6898, expected_value: Employee, label: employment type} + - {column: J, row: 6898, expected_value: Value, label: measure} + - {column: L, row: 6899, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6900 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6900, expected_value: E12000006, label: geography} + - {column: D, row: 6900, expected_value: Females, label: sex} + - {column: E, row: 6900, expected_value: Employee, label: employment type} + - {column: J, row: 6900, expected_value: Value, label: measure} + - {column: L, row: 6901, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6902 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6902, expected_value: E12000006, label: geography} + - {column: D, row: 6902, expected_value: Females, label: sex} + - {column: E, row: 6902, expected_value: Employee, label: employment type} + - {column: J, row: 6902, expected_value: Value, label: measure} + - {column: L, row: 6903, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6904 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6904, expected_value: E12000006, label: geography} + - {column: D, row: 6904, expected_value: Females, label: sex} + - {column: E, row: 6904, expected_value: Employee, label: employment type} + - {column: J, row: 6904, expected_value: Value, label: measure} + - {column: L, row: 6905, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6906 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6906, expected_value: E12000006, label: geography} + - {column: D, row: 6906, expected_value: Females, label: sex} + - {column: E, row: 6906, expected_value: Employee, label: employment type} + - {column: J, row: 6906, expected_value: Value, label: measure} + - {column: L, row: 6907, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6908 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6908, expected_value: E12000006, label: geography} + - {column: D, row: 6908, expected_value: Females, label: sex} + - {column: E, row: 6908, expected_value: Employee, label: employment type} + - {column: J, row: 6908, expected_value: Value, label: measure} + - {column: L, row: 6909, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6910 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6910, expected_value: E12000006, label: geography} + - {column: D, row: 6910, expected_value: Females, label: sex} + - {column: E, row: 6910, expected_value: Employee, label: employment type} + - {column: J, row: 6910, expected_value: Value, label: measure} + - {column: L, row: 6911, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6912 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6912, expected_value: E12000006, label: geography} + - {column: D, row: 6912, expected_value: Females, label: sex} + - {column: E, row: 6912, expected_value: Employee, label: employment type} + - {column: J, row: 6912, expected_value: Value, label: measure} + - {column: L, row: 6913, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6843 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6843, expected_value: E12000006, label: geography} + - {column: D, row: 6843, expected_value: Females, label: sex} + - {column: E, row: 6843, expected_value: Employee, label: employment type} + - {column: J, row: 6843, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6845 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6845, expected_value: E12000006, label: geography} + - {column: D, row: 6845, expected_value: Females, label: sex} + - {column: E, row: 6845, expected_value: Employee, label: employment type} + - {column: J, row: 6845, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6847 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6847, expected_value: E12000006, label: geography} + - {column: D, row: 6847, expected_value: Females, label: sex} + - {column: E, row: 6847, expected_value: Employee, label: employment type} + - {column: J, row: 6847, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6849 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6849, expected_value: E12000006, label: geography} + - {column: D, row: 6849, expected_value: Females, label: sex} + - {column: E, row: 6849, expected_value: Employee, label: employment type} + - {column: J, row: 6849, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6851 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6851, expected_value: E12000006, label: geography} + - {column: D, row: 6851, expected_value: Females, label: sex} + - {column: E, row: 6851, expected_value: Employee, label: employment type} + - {column: J, row: 6851, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6853 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6853, expected_value: E12000006, label: geography} + - {column: D, row: 6853, expected_value: Females, label: sex} + - {column: E, row: 6853, expected_value: Employee, label: employment type} + - {column: J, row: 6853, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6855 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6855, expected_value: E12000006, label: geography} + - {column: D, row: 6855, expected_value: Females, label: sex} + - {column: E, row: 6855, expected_value: Employee, label: employment type} + - {column: J, row: 6855, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6857 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6857, expected_value: E12000006, label: geography} + - {column: D, row: 6857, expected_value: Females, label: sex} + - {column: E, row: 6857, expected_value: Employee, label: employment type} + - {column: J, row: 6857, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6859 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6859, expected_value: E12000006, label: geography} + - {column: D, row: 6859, expected_value: Females, label: sex} + - {column: E, row: 6859, expected_value: Employee, label: employment type} + - {column: J, row: 6859, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6861 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6861, expected_value: E12000006, label: geography} + - {column: D, row: 6861, expected_value: Females, label: sex} + - {column: E, row: 6861, expected_value: Employee, label: employment type} + - {column: J, row: 6861, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6863 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6863, expected_value: E12000006, label: geography} + - {column: D, row: 6863, expected_value: Females, label: sex} + - {column: E, row: 6863, expected_value: Employee, label: employment type} + - {column: J, row: 6863, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6865 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6865, expected_value: E12000006, label: geography} + - {column: D, row: 6865, expected_value: Females, label: sex} + - {column: E, row: 6865, expected_value: Employee, label: employment type} + - {column: J, row: 6865, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6867 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6867, expected_value: E12000006, label: geography} + - {column: D, row: 6867, expected_value: Females, label: sex} + - {column: E, row: 6867, expected_value: Employee, label: employment type} + - {column: J, row: 6867, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6869 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6869, expected_value: E12000006, label: geography} + - {column: D, row: 6869, expected_value: Females, label: sex} + - {column: E, row: 6869, expected_value: Employee, label: employment type} + - {column: J, row: 6869, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6871 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6871, expected_value: E12000006, label: geography} + - {column: D, row: 6871, expected_value: Females, label: sex} + - {column: E, row: 6871, expected_value: Employee, label: employment type} + - {column: J, row: 6871, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6873 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6873, expected_value: E12000006, label: geography} + - {column: D, row: 6873, expected_value: Females, label: sex} + - {column: E, row: 6873, expected_value: Employee, label: employment type} + - {column: J, row: 6873, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6875 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6875, expected_value: E12000006, label: geography} + - {column: D, row: 6875, expected_value: Females, label: sex} + - {column: E, row: 6875, expected_value: Employee, label: employment type} + - {column: J, row: 6875, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6877 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6877, expected_value: E12000006, label: geography} + - {column: D, row: 6877, expected_value: Females, label: sex} + - {column: E, row: 6877, expected_value: Employee, label: employment type} + - {column: J, row: 6877, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6879 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6879, expected_value: E12000006, label: geography} + - {column: D, row: 6879, expected_value: Females, label: sex} + - {column: E, row: 6879, expected_value: Employee, label: employment type} + - {column: J, row: 6879, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6883 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6883, expected_value: E12000006, label: geography} + - {column: D, row: 6883, expected_value: Females, label: sex} + - {column: E, row: 6883, expected_value: Employee, label: employment type} + - {column: J, row: 6883, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6887 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6887, expected_value: E12000006, label: geography} + - {column: D, row: 6887, expected_value: Females, label: sex} + - {column: E, row: 6887, expected_value: Employee, label: employment type} + - {column: J, row: 6887, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6889 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6889, expected_value: E12000006, label: geography} + - {column: D, row: 6889, expected_value: Females, label: sex} + - {column: E, row: 6889, expected_value: Employee, label: employment type} + - {column: J, row: 6889, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6891 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6891, expected_value: E12000006, label: geography} + - {column: D, row: 6891, expected_value: Females, label: sex} + - {column: E, row: 6891, expected_value: Employee, label: employment type} + - {column: J, row: 6891, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6893 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6893, expected_value: E12000006, label: geography} + - {column: D, row: 6893, expected_value: Females, label: sex} + - {column: E, row: 6893, expected_value: Employee, label: employment type} + - {column: J, row: 6893, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6897 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6897, expected_value: E12000006, label: geography} + - {column: D, row: 6897, expected_value: Females, label: sex} + - {column: E, row: 6897, expected_value: Employee, label: employment type} + - {column: J, row: 6897, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6899 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6899, expected_value: E12000006, label: geography} + - {column: D, row: 6899, expected_value: Females, label: sex} + - {column: E, row: 6899, expected_value: Employee, label: employment type} + - {column: J, row: 6899, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6901 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6901, expected_value: E12000006, label: geography} + - {column: D, row: 6901, expected_value: Females, label: sex} + - {column: E, row: 6901, expected_value: Employee, label: employment type} + - {column: J, row: 6901, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6903 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6903, expected_value: E12000006, label: geography} + - {column: D, row: 6903, expected_value: Females, label: sex} + - {column: E, row: 6903, expected_value: Employee, label: employment type} + - {column: J, row: 6903, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6905 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6905, expected_value: E12000006, label: geography} + - {column: D, row: 6905, expected_value: Females, label: sex} + - {column: E, row: 6905, expected_value: Employee, label: employment type} + - {column: J, row: 6905, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6907 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6907, expected_value: E12000006, label: geography} + - {column: D, row: 6907, expected_value: Females, label: sex} + - {column: E, row: 6907, expected_value: Employee, label: employment type} + - {column: J, row: 6907, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6909 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6909, expected_value: E12000006, label: geography} + - {column: D, row: 6909, expected_value: Females, label: sex} + - {column: E, row: 6909, expected_value: Employee, label: employment type} + - {column: J, row: 6909, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6911 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6911, expected_value: E12000006, label: geography} + - {column: D, row: 6911, expected_value: Females, label: sex} + - {column: E, row: 6911, expected_value: Employee, label: employment type} + - {column: J, row: 6911, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6913 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6913, expected_value: E12000006, label: geography} + - {column: D, row: 6913, expected_value: Females, label: sex} + - {column: E, row: 6913, expected_value: Employee, label: employment type} + - {column: J, row: 6913, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7058 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7058, expected_value: E12000006, label: geography} + - {column: D, row: 7058, expected_value: Females, label: sex} + - {column: E, row: 7058, expected_value: Self-employed, label: employment type} + - {column: J, row: 7058, expected_value: Value, label: measure} + - {column: L, row: 7059, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7060 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7060, expected_value: E12000006, label: geography} + - {column: D, row: 7060, expected_value: Females, label: sex} + - {column: E, row: 7060, expected_value: Self-employed, label: employment type} + - {column: J, row: 7060, expected_value: Value, label: measure} + - {column: L, row: 7061, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7062 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7062, expected_value: E12000006, label: geography} + - {column: D, row: 7062, expected_value: Females, label: sex} + - {column: E, row: 7062, expected_value: Self-employed, label: employment type} + - {column: J, row: 7062, expected_value: Value, label: measure} + - {column: L, row: 7063, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7064 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7064, expected_value: E12000006, label: geography} + - {column: D, row: 7064, expected_value: Females, label: sex} + - {column: E, row: 7064, expected_value: Self-employed, label: employment type} + - {column: J, row: 7064, expected_value: Value, label: measure} + - {column: L, row: 7065, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7066 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7066, expected_value: E12000006, label: geography} + - {column: D, row: 7066, expected_value: Females, label: sex} + - {column: E, row: 7066, expected_value: Self-employed, label: employment type} + - {column: J, row: 7066, expected_value: Value, label: measure} + - {column: L, row: 7067, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7068 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7068, expected_value: E12000006, label: geography} + - {column: D, row: 7068, expected_value: Females, label: sex} + - {column: E, row: 7068, expected_value: Self-employed, label: employment type} + - {column: J, row: 7068, expected_value: Value, label: measure} + - {column: L, row: 7069, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7070 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7070, expected_value: E12000006, label: geography} + - {column: D, row: 7070, expected_value: Females, label: sex} + - {column: E, row: 7070, expected_value: Self-employed, label: employment type} + - {column: J, row: 7070, expected_value: Value, label: measure} + - {column: L, row: 7071, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7072 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7072, expected_value: E12000006, label: geography} + - {column: D, row: 7072, expected_value: Females, label: sex} + - {column: E, row: 7072, expected_value: Self-employed, label: employment type} + - {column: J, row: 7072, expected_value: Value, label: measure} + - {column: L, row: 7073, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7074 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7074, expected_value: E12000006, label: geography} + - {column: D, row: 7074, expected_value: Females, label: sex} + - {column: E, row: 7074, expected_value: Self-employed, label: employment type} + - {column: J, row: 7074, expected_value: Value, label: measure} + - {column: L, row: 7075, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7076 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7076, expected_value: E12000006, label: geography} + - {column: D, row: 7076, expected_value: Females, label: sex} + - {column: E, row: 7076, expected_value: Self-employed, label: employment type} + - {column: J, row: 7076, expected_value: Value, label: measure} + - {column: L, row: 7077, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7078 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7078, expected_value: E12000006, label: geography} + - {column: D, row: 7078, expected_value: Females, label: sex} + - {column: E, row: 7078, expected_value: Self-employed, label: employment type} + - {column: J, row: 7078, expected_value: Value, label: measure} + - {column: L, row: 7079, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7080 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7080, expected_value: E12000006, label: geography} + - {column: D, row: 7080, expected_value: Females, label: sex} + - {column: E, row: 7080, expected_value: Self-employed, label: employment type} + - {column: J, row: 7080, expected_value: Value, label: measure} + - {column: L, row: 7081, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7084 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7084, expected_value: E12000006, label: geography} + - {column: D, row: 7084, expected_value: Females, label: sex} + - {column: E, row: 7084, expected_value: Self-employed, label: employment type} + - {column: J, row: 7084, expected_value: Value, label: measure} + - {column: L, row: 7085, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7086 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7086, expected_value: E12000006, label: geography} + - {column: D, row: 7086, expected_value: Females, label: sex} + - {column: E, row: 7086, expected_value: Self-employed, label: employment type} + - {column: J, row: 7086, expected_value: Value, label: measure} + - {column: L, row: 7087, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7088 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7088, expected_value: E12000006, label: geography} + - {column: D, row: 7088, expected_value: Females, label: sex} + - {column: E, row: 7088, expected_value: Self-employed, label: employment type} + - {column: J, row: 7088, expected_value: Value, label: measure} + - {column: L, row: 7089, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7090 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7090, expected_value: E12000006, label: geography} + - {column: D, row: 7090, expected_value: Females, label: sex} + - {column: E, row: 7090, expected_value: Self-employed, label: employment type} + - {column: J, row: 7090, expected_value: Value, label: measure} + - {column: L, row: 7091, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7092 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7092, expected_value: E12000006, label: geography} + - {column: D, row: 7092, expected_value: Females, label: sex} + - {column: E, row: 7092, expected_value: Self-employed, label: employment type} + - {column: J, row: 7092, expected_value: Value, label: measure} + - {column: L, row: 7093, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7094 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7094, expected_value: E12000006, label: geography} + - {column: D, row: 7094, expected_value: Females, label: sex} + - {column: E, row: 7094, expected_value: Self-employed, label: employment type} + - {column: J, row: 7094, expected_value: Value, label: measure} + - {column: L, row: 7095, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7096 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7096, expected_value: E12000006, label: geography} + - {column: D, row: 7096, expected_value: Females, label: sex} + - {column: E, row: 7096, expected_value: Self-employed, label: employment type} + - {column: J, row: 7096, expected_value: Value, label: measure} + - {column: L, row: 7097, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7102 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7102, expected_value: E12000006, label: geography} + - {column: D, row: 7102, expected_value: Females, label: sex} + - {column: E, row: 7102, expected_value: Self-employed, label: employment type} + - {column: J, row: 7102, expected_value: Value, label: measure} + - {column: L, row: 7103, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7104 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7104, expected_value: E12000006, label: geography} + - {column: D, row: 7104, expected_value: Females, label: sex} + - {column: E, row: 7104, expected_value: Self-employed, label: employment type} + - {column: J, row: 7104, expected_value: Value, label: measure} + - {column: L, row: 7105, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7106 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7106, expected_value: E12000006, label: geography} + - {column: D, row: 7106, expected_value: Females, label: sex} + - {column: E, row: 7106, expected_value: Self-employed, label: employment type} + - {column: J, row: 7106, expected_value: Value, label: measure} + - {column: L, row: 7107, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7108 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7108, expected_value: E12000006, label: geography} + - {column: D, row: 7108, expected_value: Females, label: sex} + - {column: E, row: 7108, expected_value: Self-employed, label: employment type} + - {column: J, row: 7108, expected_value: Value, label: measure} + - {column: L, row: 7109, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7112 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7112, expected_value: E12000006, label: geography} + - {column: D, row: 7112, expected_value: Females, label: sex} + - {column: E, row: 7112, expected_value: Self-employed, label: employment type} + - {column: J, row: 7112, expected_value: Value, label: measure} + - {column: L, row: 7113, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7114 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7114, expected_value: E12000006, label: geography} + - {column: D, row: 7114, expected_value: Females, label: sex} + - {column: E, row: 7114, expected_value: Self-employed, label: employment type} + - {column: J, row: 7114, expected_value: Value, label: measure} + - {column: L, row: 7115, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7118 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7118, expected_value: E12000006, label: geography} + - {column: D, row: 7118, expected_value: Females, label: sex} + - {column: E, row: 7118, expected_value: Self-employed, label: employment type} + - {column: J, row: 7118, expected_value: Value, label: measure} + - {column: L, row: 7119, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7120 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7120, expected_value: E12000006, label: geography} + - {column: D, row: 7120, expected_value: Females, label: sex} + - {column: E, row: 7120, expected_value: Self-employed, label: employment type} + - {column: J, row: 7120, expected_value: Value, label: measure} + - {column: L, row: 7121, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7122 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7122, expected_value: E12000006, label: geography} + - {column: D, row: 7122, expected_value: Females, label: sex} + - {column: E, row: 7122, expected_value: Self-employed, label: employment type} + - {column: J, row: 7122, expected_value: Value, label: measure} + - {column: L, row: 7123, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7124 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7124, expected_value: E12000006, label: geography} + - {column: D, row: 7124, expected_value: Females, label: sex} + - {column: E, row: 7124, expected_value: Self-employed, label: employment type} + - {column: J, row: 7124, expected_value: Value, label: measure} + - {column: L, row: 7125, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7126 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7126, expected_value: E12000006, label: geography} + - {column: D, row: 7126, expected_value: Females, label: sex} + - {column: E, row: 7126, expected_value: Self-employed, label: employment type} + - {column: J, row: 7126, expected_value: Value, label: measure} + - {column: L, row: 7127, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7128 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7128, expected_value: E12000006, label: geography} + - {column: D, row: 7128, expected_value: Females, label: sex} + - {column: E, row: 7128, expected_value: Self-employed, label: employment type} + - {column: J, row: 7128, expected_value: Value, label: measure} + - {column: L, row: 7129, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000006.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7059 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7059, expected_value: E12000006, label: geography} + - {column: D, row: 7059, expected_value: Females, label: sex} + - {column: E, row: 7059, expected_value: Self-employed, label: employment type} + - {column: J, row: 7059, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7061 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7061, expected_value: E12000006, label: geography} + - {column: D, row: 7061, expected_value: Females, label: sex} + - {column: E, row: 7061, expected_value: Self-employed, label: employment type} + - {column: J, row: 7061, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7063 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7063, expected_value: E12000006, label: geography} + - {column: D, row: 7063, expected_value: Females, label: sex} + - {column: E, row: 7063, expected_value: Self-employed, label: employment type} + - {column: J, row: 7063, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7065 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7065, expected_value: E12000006, label: geography} + - {column: D, row: 7065, expected_value: Females, label: sex} + - {column: E, row: 7065, expected_value: Self-employed, label: employment type} + - {column: J, row: 7065, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7067 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7067, expected_value: E12000006, label: geography} + - {column: D, row: 7067, expected_value: Females, label: sex} + - {column: E, row: 7067, expected_value: Self-employed, label: employment type} + - {column: J, row: 7067, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7069 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7069, expected_value: E12000006, label: geography} + - {column: D, row: 7069, expected_value: Females, label: sex} + - {column: E, row: 7069, expected_value: Self-employed, label: employment type} + - {column: J, row: 7069, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7071 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7071, expected_value: E12000006, label: geography} + - {column: D, row: 7071, expected_value: Females, label: sex} + - {column: E, row: 7071, expected_value: Self-employed, label: employment type} + - {column: J, row: 7071, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7073 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7073, expected_value: E12000006, label: geography} + - {column: D, row: 7073, expected_value: Females, label: sex} + - {column: E, row: 7073, expected_value: Self-employed, label: employment type} + - {column: J, row: 7073, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7075 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7075, expected_value: E12000006, label: geography} + - {column: D, row: 7075, expected_value: Females, label: sex} + - {column: E, row: 7075, expected_value: Self-employed, label: employment type} + - {column: J, row: 7075, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7077 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7077, expected_value: E12000006, label: geography} + - {column: D, row: 7077, expected_value: Females, label: sex} + - {column: E, row: 7077, expected_value: Self-employed, label: employment type} + - {column: J, row: 7077, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7081 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7081, expected_value: E12000006, label: geography} + - {column: D, row: 7081, expected_value: Females, label: sex} + - {column: E, row: 7081, expected_value: Self-employed, label: employment type} + - {column: J, row: 7081, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7085 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7085, expected_value: E12000006, label: geography} + - {column: D, row: 7085, expected_value: Females, label: sex} + - {column: E, row: 7085, expected_value: Self-employed, label: employment type} + - {column: J, row: 7085, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7087 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7087, expected_value: E12000006, label: geography} + - {column: D, row: 7087, expected_value: Females, label: sex} + - {column: E, row: 7087, expected_value: Self-employed, label: employment type} + - {column: J, row: 7087, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7089 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7089, expected_value: E12000006, label: geography} + - {column: D, row: 7089, expected_value: Females, label: sex} + - {column: E, row: 7089, expected_value: Self-employed, label: employment type} + - {column: J, row: 7089, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7091 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7091, expected_value: E12000006, label: geography} + - {column: D, row: 7091, expected_value: Females, label: sex} + - {column: E, row: 7091, expected_value: Self-employed, label: employment type} + - {column: J, row: 7091, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7095 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7095, expected_value: E12000006, label: geography} + - {column: D, row: 7095, expected_value: Females, label: sex} + - {column: E, row: 7095, expected_value: Self-employed, label: employment type} + - {column: J, row: 7095, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7097 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7097, expected_value: E12000006, label: geography} + - {column: D, row: 7097, expected_value: Females, label: sex} + - {column: E, row: 7097, expected_value: Self-employed, label: employment type} + - {column: J, row: 7097, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7103 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7103, expected_value: E12000006, label: geography} + - {column: D, row: 7103, expected_value: Females, label: sex} + - {column: E, row: 7103, expected_value: Self-employed, label: employment type} + - {column: J, row: 7103, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7105 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7105, expected_value: E12000006, label: geography} + - {column: D, row: 7105, expected_value: Females, label: sex} + - {column: E, row: 7105, expected_value: Self-employed, label: employment type} + - {column: J, row: 7105, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7107 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7107, expected_value: E12000006, label: geography} + - {column: D, row: 7107, expected_value: Females, label: sex} + - {column: E, row: 7107, expected_value: Self-employed, label: employment type} + - {column: J, row: 7107, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7109 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7109, expected_value: E12000006, label: geography} + - {column: D, row: 7109, expected_value: Females, label: sex} + - {column: E, row: 7109, expected_value: Self-employed, label: employment type} + - {column: J, row: 7109, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7113 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7113, expected_value: E12000006, label: geography} + - {column: D, row: 7113, expected_value: Females, label: sex} + - {column: E, row: 7113, expected_value: Self-employed, label: employment type} + - {column: J, row: 7113, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7115 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7115, expected_value: E12000006, label: geography} + - {column: D, row: 7115, expected_value: Females, label: sex} + - {column: E, row: 7115, expected_value: Self-employed, label: employment type} + - {column: J, row: 7115, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7119 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7119, expected_value: E12000006, label: geography} + - {column: D, row: 7119, expected_value: Females, label: sex} + - {column: E, row: 7119, expected_value: Self-employed, label: employment type} + - {column: J, row: 7119, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7125 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7125, expected_value: E12000006, label: geography} + - {column: D, row: 7125, expected_value: Females, label: sex} + - {column: E, row: 7125, expected_value: Self-employed, label: employment type} + - {column: J, row: 7125, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7129 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7129, expected_value: E12000006, label: geography} + - {column: D, row: 7129, expected_value: Females, label: sex} + - {column: E, row: 7129, expected_value: Self-employed, label: employment type} + - {column: J, row: 7129, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7130 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7130, expected_value: E12000007, label: geography} + - {column: D, row: 7130, expected_value: All persons, label: sex} + - {column: E, row: 7130, expected_value: Total, label: employment type} + - {column: J, row: 7130, expected_value: Value, label: measure} + - {column: L, row: 7131, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7132 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7132, expected_value: E12000007, label: geography} + - {column: D, row: 7132, expected_value: All persons, label: sex} + - {column: E, row: 7132, expected_value: Total, label: employment type} + - {column: J, row: 7132, expected_value: Value, label: measure} + - {column: L, row: 7133, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7134 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7134, expected_value: E12000007, label: geography} + - {column: D, row: 7134, expected_value: All persons, label: sex} + - {column: E, row: 7134, expected_value: Total, label: employment type} + - {column: J, row: 7134, expected_value: Value, label: measure} + - {column: L, row: 7135, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7136 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7136, expected_value: E12000007, label: geography} + - {column: D, row: 7136, expected_value: All persons, label: sex} + - {column: E, row: 7136, expected_value: Total, label: employment type} + - {column: J, row: 7136, expected_value: Value, label: measure} + - {column: L, row: 7137, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7138 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7138, expected_value: E12000007, label: geography} + - {column: D, row: 7138, expected_value: All persons, label: sex} + - {column: E, row: 7138, expected_value: Total, label: employment type} + - {column: J, row: 7138, expected_value: Value, label: measure} + - {column: L, row: 7139, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7140 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7140, expected_value: E12000007, label: geography} + - {column: D, row: 7140, expected_value: All persons, label: sex} + - {column: E, row: 7140, expected_value: Total, label: employment type} + - {column: J, row: 7140, expected_value: Value, label: measure} + - {column: L, row: 7141, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7142 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7142, expected_value: E12000007, label: geography} + - {column: D, row: 7142, expected_value: All persons, label: sex} + - {column: E, row: 7142, expected_value: Total, label: employment type} + - {column: J, row: 7142, expected_value: Value, label: measure} + - {column: L, row: 7143, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7144 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7144, expected_value: E12000007, label: geography} + - {column: D, row: 7144, expected_value: All persons, label: sex} + - {column: E, row: 7144, expected_value: Total, label: employment type} + - {column: J, row: 7144, expected_value: Value, label: measure} + - {column: L, row: 7145, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7146 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7146, expected_value: E12000007, label: geography} + - {column: D, row: 7146, expected_value: All persons, label: sex} + - {column: E, row: 7146, expected_value: Total, label: employment type} + - {column: J, row: 7146, expected_value: Value, label: measure} + - {column: L, row: 7147, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7148 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7148, expected_value: E12000007, label: geography} + - {column: D, row: 7148, expected_value: All persons, label: sex} + - {column: E, row: 7148, expected_value: Total, label: employment type} + - {column: J, row: 7148, expected_value: Value, label: measure} + - {column: L, row: 7149, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7150 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7150, expected_value: E12000007, label: geography} + - {column: D, row: 7150, expected_value: All persons, label: sex} + - {column: E, row: 7150, expected_value: Total, label: employment type} + - {column: J, row: 7150, expected_value: Value, label: measure} + - {column: L, row: 7151, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7152 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7152, expected_value: E12000007, label: geography} + - {column: D, row: 7152, expected_value: All persons, label: sex} + - {column: E, row: 7152, expected_value: Total, label: employment type} + - {column: J, row: 7152, expected_value: Value, label: measure} + - {column: L, row: 7153, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7154 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7154, expected_value: E12000007, label: geography} + - {column: D, row: 7154, expected_value: All persons, label: sex} + - {column: E, row: 7154, expected_value: Total, label: employment type} + - {column: J, row: 7154, expected_value: Value, label: measure} + - {column: L, row: 7155, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7156 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7156, expected_value: E12000007, label: geography} + - {column: D, row: 7156, expected_value: All persons, label: sex} + - {column: E, row: 7156, expected_value: Total, label: employment type} + - {column: J, row: 7156, expected_value: Value, label: measure} + - {column: L, row: 7157, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7158 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7158, expected_value: E12000007, label: geography} + - {column: D, row: 7158, expected_value: All persons, label: sex} + - {column: E, row: 7158, expected_value: Total, label: employment type} + - {column: J, row: 7158, expected_value: Value, label: measure} + - {column: L, row: 7159, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7160 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7160, expected_value: E12000007, label: geography} + - {column: D, row: 7160, expected_value: All persons, label: sex} + - {column: E, row: 7160, expected_value: Total, label: employment type} + - {column: J, row: 7160, expected_value: Value, label: measure} + - {column: L, row: 7161, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7162 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7162, expected_value: E12000007, label: geography} + - {column: D, row: 7162, expected_value: All persons, label: sex} + - {column: E, row: 7162, expected_value: Total, label: employment type} + - {column: J, row: 7162, expected_value: Value, label: measure} + - {column: L, row: 7163, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7164 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7164, expected_value: E12000007, label: geography} + - {column: D, row: 7164, expected_value: All persons, label: sex} + - {column: E, row: 7164, expected_value: Total, label: employment type} + - {column: J, row: 7164, expected_value: Value, label: measure} + - {column: L, row: 7165, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7166 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7166, expected_value: E12000007, label: geography} + - {column: D, row: 7166, expected_value: All persons, label: sex} + - {column: E, row: 7166, expected_value: Total, label: employment type} + - {column: J, row: 7166, expected_value: Value, label: measure} + - {column: L, row: 7167, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7168 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7168, expected_value: E12000007, label: geography} + - {column: D, row: 7168, expected_value: All persons, label: sex} + - {column: E, row: 7168, expected_value: Total, label: employment type} + - {column: J, row: 7168, expected_value: Value, label: measure} + - {column: L, row: 7169, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7170 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7170, expected_value: E12000007, label: geography} + - {column: D, row: 7170, expected_value: All persons, label: sex} + - {column: E, row: 7170, expected_value: Total, label: employment type} + - {column: J, row: 7170, expected_value: Value, label: measure} + - {column: L, row: 7171, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7172 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7172, expected_value: E12000007, label: geography} + - {column: D, row: 7172, expected_value: All persons, label: sex} + - {column: E, row: 7172, expected_value: Total, label: employment type} + - {column: J, row: 7172, expected_value: Value, label: measure} + - {column: L, row: 7173, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7174 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7174, expected_value: E12000007, label: geography} + - {column: D, row: 7174, expected_value: All persons, label: sex} + - {column: E, row: 7174, expected_value: Total, label: employment type} + - {column: J, row: 7174, expected_value: Value, label: measure} + - {column: L, row: 7175, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7176 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7176, expected_value: E12000007, label: geography} + - {column: D, row: 7176, expected_value: All persons, label: sex} + - {column: E, row: 7176, expected_value: Total, label: employment type} + - {column: J, row: 7176, expected_value: Value, label: measure} + - {column: L, row: 7177, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7178 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7178, expected_value: E12000007, label: geography} + - {column: D, row: 7178, expected_value: All persons, label: sex} + - {column: E, row: 7178, expected_value: Total, label: employment type} + - {column: J, row: 7178, expected_value: Value, label: measure} + - {column: L, row: 7179, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7180 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7180, expected_value: E12000007, label: geography} + - {column: D, row: 7180, expected_value: All persons, label: sex} + - {column: E, row: 7180, expected_value: Total, label: employment type} + - {column: J, row: 7180, expected_value: Value, label: measure} + - {column: L, row: 7181, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7182 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7182, expected_value: E12000007, label: geography} + - {column: D, row: 7182, expected_value: All persons, label: sex} + - {column: E, row: 7182, expected_value: Total, label: employment type} + - {column: J, row: 7182, expected_value: Value, label: measure} + - {column: L, row: 7183, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7184 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7184, expected_value: E12000007, label: geography} + - {column: D, row: 7184, expected_value: All persons, label: sex} + - {column: E, row: 7184, expected_value: Total, label: employment type} + - {column: J, row: 7184, expected_value: Value, label: measure} + - {column: L, row: 7185, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7186 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7186, expected_value: E12000007, label: geography} + - {column: D, row: 7186, expected_value: All persons, label: sex} + - {column: E, row: 7186, expected_value: Total, label: employment type} + - {column: J, row: 7186, expected_value: Value, label: measure} + - {column: L, row: 7187, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7188 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7188, expected_value: E12000007, label: geography} + - {column: D, row: 7188, expected_value: All persons, label: sex} + - {column: E, row: 7188, expected_value: Total, label: employment type} + - {column: J, row: 7188, expected_value: Value, label: measure} + - {column: L, row: 7189, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7190 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7190, expected_value: E12000007, label: geography} + - {column: D, row: 7190, expected_value: All persons, label: sex} + - {column: E, row: 7190, expected_value: Total, label: employment type} + - {column: J, row: 7190, expected_value: Value, label: measure} + - {column: L, row: 7191, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7192 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7192, expected_value: E12000007, label: geography} + - {column: D, row: 7192, expected_value: All persons, label: sex} + - {column: E, row: 7192, expected_value: Total, label: employment type} + - {column: J, row: 7192, expected_value: Value, label: measure} + - {column: L, row: 7193, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7194 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7194, expected_value: E12000007, label: geography} + - {column: D, row: 7194, expected_value: All persons, label: sex} + - {column: E, row: 7194, expected_value: Total, label: employment type} + - {column: J, row: 7194, expected_value: Value, label: measure} + - {column: L, row: 7195, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7196 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7196, expected_value: E12000007, label: geography} + - {column: D, row: 7196, expected_value: All persons, label: sex} + - {column: E, row: 7196, expected_value: Total, label: employment type} + - {column: J, row: 7196, expected_value: Value, label: measure} + - {column: L, row: 7197, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7198 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7198, expected_value: E12000007, label: geography} + - {column: D, row: 7198, expected_value: All persons, label: sex} + - {column: E, row: 7198, expected_value: Total, label: employment type} + - {column: J, row: 7198, expected_value: Value, label: measure} + - {column: L, row: 7199, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7200 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7200, expected_value: E12000007, label: geography} + - {column: D, row: 7200, expected_value: All persons, label: sex} + - {column: E, row: 7200, expected_value: Total, label: employment type} + - {column: J, row: 7200, expected_value: Value, label: measure} + - {column: L, row: 7201, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7131 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7131, expected_value: E12000007, label: geography} + - {column: D, row: 7131, expected_value: All persons, label: sex} + - {column: E, row: 7131, expected_value: Total, label: employment type} + - {column: J, row: 7131, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7133 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7133, expected_value: E12000007, label: geography} + - {column: D, row: 7133, expected_value: All persons, label: sex} + - {column: E, row: 7133, expected_value: Total, label: employment type} + - {column: J, row: 7133, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7135 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7135, expected_value: E12000007, label: geography} + - {column: D, row: 7135, expected_value: All persons, label: sex} + - {column: E, row: 7135, expected_value: Total, label: employment type} + - {column: J, row: 7135, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7137 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7137, expected_value: E12000007, label: geography} + - {column: D, row: 7137, expected_value: All persons, label: sex} + - {column: E, row: 7137, expected_value: Total, label: employment type} + - {column: J, row: 7137, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7139 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7139, expected_value: E12000007, label: geography} + - {column: D, row: 7139, expected_value: All persons, label: sex} + - {column: E, row: 7139, expected_value: Total, label: employment type} + - {column: J, row: 7139, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7141 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7141, expected_value: E12000007, label: geography} + - {column: D, row: 7141, expected_value: All persons, label: sex} + - {column: E, row: 7141, expected_value: Total, label: employment type} + - {column: J, row: 7141, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7143 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7143, expected_value: E12000007, label: geography} + - {column: D, row: 7143, expected_value: All persons, label: sex} + - {column: E, row: 7143, expected_value: Total, label: employment type} + - {column: J, row: 7143, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7145 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7145, expected_value: E12000007, label: geography} + - {column: D, row: 7145, expected_value: All persons, label: sex} + - {column: E, row: 7145, expected_value: Total, label: employment type} + - {column: J, row: 7145, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7147 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7147, expected_value: E12000007, label: geography} + - {column: D, row: 7147, expected_value: All persons, label: sex} + - {column: E, row: 7147, expected_value: Total, label: employment type} + - {column: J, row: 7147, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7149 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7149, expected_value: E12000007, label: geography} + - {column: D, row: 7149, expected_value: All persons, label: sex} + - {column: E, row: 7149, expected_value: Total, label: employment type} + - {column: J, row: 7149, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7151 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7151, expected_value: E12000007, label: geography} + - {column: D, row: 7151, expected_value: All persons, label: sex} + - {column: E, row: 7151, expected_value: Total, label: employment type} + - {column: J, row: 7151, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7153 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7153, expected_value: E12000007, label: geography} + - {column: D, row: 7153, expected_value: All persons, label: sex} + - {column: E, row: 7153, expected_value: Total, label: employment type} + - {column: J, row: 7153, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7155 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7155, expected_value: E12000007, label: geography} + - {column: D, row: 7155, expected_value: All persons, label: sex} + - {column: E, row: 7155, expected_value: Total, label: employment type} + - {column: J, row: 7155, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7157 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7157, expected_value: E12000007, label: geography} + - {column: D, row: 7157, expected_value: All persons, label: sex} + - {column: E, row: 7157, expected_value: Total, label: employment type} + - {column: J, row: 7157, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7159 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7159, expected_value: E12000007, label: geography} + - {column: D, row: 7159, expected_value: All persons, label: sex} + - {column: E, row: 7159, expected_value: Total, label: employment type} + - {column: J, row: 7159, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7161 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7161, expected_value: E12000007, label: geography} + - {column: D, row: 7161, expected_value: All persons, label: sex} + - {column: E, row: 7161, expected_value: Total, label: employment type} + - {column: J, row: 7161, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7163 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7163, expected_value: E12000007, label: geography} + - {column: D, row: 7163, expected_value: All persons, label: sex} + - {column: E, row: 7163, expected_value: Total, label: employment type} + - {column: J, row: 7163, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7165 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7165, expected_value: E12000007, label: geography} + - {column: D, row: 7165, expected_value: All persons, label: sex} + - {column: E, row: 7165, expected_value: Total, label: employment type} + - {column: J, row: 7165, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7167 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7167, expected_value: E12000007, label: geography} + - {column: D, row: 7167, expected_value: All persons, label: sex} + - {column: E, row: 7167, expected_value: Total, label: employment type} + - {column: J, row: 7167, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7169 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7169, expected_value: E12000007, label: geography} + - {column: D, row: 7169, expected_value: All persons, label: sex} + - {column: E, row: 7169, expected_value: Total, label: employment type} + - {column: J, row: 7169, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7171 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7171, expected_value: E12000007, label: geography} + - {column: D, row: 7171, expected_value: All persons, label: sex} + - {column: E, row: 7171, expected_value: Total, label: employment type} + - {column: J, row: 7171, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7173 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7173, expected_value: E12000007, label: geography} + - {column: D, row: 7173, expected_value: All persons, label: sex} + - {column: E, row: 7173, expected_value: Total, label: employment type} + - {column: J, row: 7173, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7175 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7175, expected_value: E12000007, label: geography} + - {column: D, row: 7175, expected_value: All persons, label: sex} + - {column: E, row: 7175, expected_value: Total, label: employment type} + - {column: J, row: 7175, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7177 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7177, expected_value: E12000007, label: geography} + - {column: D, row: 7177, expected_value: All persons, label: sex} + - {column: E, row: 7177, expected_value: Total, label: employment type} + - {column: J, row: 7177, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7179 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7179, expected_value: E12000007, label: geography} + - {column: D, row: 7179, expected_value: All persons, label: sex} + - {column: E, row: 7179, expected_value: Total, label: employment type} + - {column: J, row: 7179, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7181 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7181, expected_value: E12000007, label: geography} + - {column: D, row: 7181, expected_value: All persons, label: sex} + - {column: E, row: 7181, expected_value: Total, label: employment type} + - {column: J, row: 7181, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7185 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7185, expected_value: E12000007, label: geography} + - {column: D, row: 7185, expected_value: All persons, label: sex} + - {column: E, row: 7185, expected_value: Total, label: employment type} + - {column: J, row: 7185, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7187 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7187, expected_value: E12000007, label: geography} + - {column: D, row: 7187, expected_value: All persons, label: sex} + - {column: E, row: 7187, expected_value: Total, label: employment type} + - {column: J, row: 7187, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7189 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7189, expected_value: E12000007, label: geography} + - {column: D, row: 7189, expected_value: All persons, label: sex} + - {column: E, row: 7189, expected_value: Total, label: employment type} + - {column: J, row: 7189, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7191 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7191, expected_value: E12000007, label: geography} + - {column: D, row: 7191, expected_value: All persons, label: sex} + - {column: E, row: 7191, expected_value: Total, label: employment type} + - {column: J, row: 7191, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7193 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7193, expected_value: E12000007, label: geography} + - {column: D, row: 7193, expected_value: All persons, label: sex} + - {column: E, row: 7193, expected_value: Total, label: employment type} + - {column: J, row: 7193, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7195 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7195, expected_value: E12000007, label: geography} + - {column: D, row: 7195, expected_value: All persons, label: sex} + - {column: E, row: 7195, expected_value: Total, label: employment type} + - {column: J, row: 7195, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7197 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7197, expected_value: E12000007, label: geography} + - {column: D, row: 7197, expected_value: All persons, label: sex} + - {column: E, row: 7197, expected_value: Total, label: employment type} + - {column: J, row: 7197, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7199 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7199, expected_value: E12000007, label: geography} + - {column: D, row: 7199, expected_value: All persons, label: sex} + - {column: E, row: 7199, expected_value: Total, label: employment type} + - {column: J, row: 7199, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7201 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7201, expected_value: E12000007, label: geography} + - {column: D, row: 7201, expected_value: All persons, label: sex} + - {column: E, row: 7201, expected_value: Total, label: employment type} + - {column: J, row: 7201, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7346 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7346, expected_value: E12000007, label: geography} + - {column: D, row: 7346, expected_value: All persons, label: sex} + - {column: E, row: 7346, expected_value: Employee, label: employment type} + - {column: J, row: 7346, expected_value: Value, label: measure} + - {column: L, row: 7347, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7348 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7348, expected_value: E12000007, label: geography} + - {column: D, row: 7348, expected_value: All persons, label: sex} + - {column: E, row: 7348, expected_value: Employee, label: employment type} + - {column: J, row: 7348, expected_value: Value, label: measure} + - {column: L, row: 7349, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7350 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7350, expected_value: E12000007, label: geography} + - {column: D, row: 7350, expected_value: All persons, label: sex} + - {column: E, row: 7350, expected_value: Employee, label: employment type} + - {column: J, row: 7350, expected_value: Value, label: measure} + - {column: L, row: 7351, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7352 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7352, expected_value: E12000007, label: geography} + - {column: D, row: 7352, expected_value: All persons, label: sex} + - {column: E, row: 7352, expected_value: Employee, label: employment type} + - {column: J, row: 7352, expected_value: Value, label: measure} + - {column: L, row: 7353, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7354 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7354, expected_value: E12000007, label: geography} + - {column: D, row: 7354, expected_value: All persons, label: sex} + - {column: E, row: 7354, expected_value: Employee, label: employment type} + - {column: J, row: 7354, expected_value: Value, label: measure} + - {column: L, row: 7355, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7356 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7356, expected_value: E12000007, label: geography} + - {column: D, row: 7356, expected_value: All persons, label: sex} + - {column: E, row: 7356, expected_value: Employee, label: employment type} + - {column: J, row: 7356, expected_value: Value, label: measure} + - {column: L, row: 7357, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7358 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7358, expected_value: E12000007, label: geography} + - {column: D, row: 7358, expected_value: All persons, label: sex} + - {column: E, row: 7358, expected_value: Employee, label: employment type} + - {column: J, row: 7358, expected_value: Value, label: measure} + - {column: L, row: 7359, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7360 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7360, expected_value: E12000007, label: geography} + - {column: D, row: 7360, expected_value: All persons, label: sex} + - {column: E, row: 7360, expected_value: Employee, label: employment type} + - {column: J, row: 7360, expected_value: Value, label: measure} + - {column: L, row: 7361, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7362 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7362, expected_value: E12000007, label: geography} + - {column: D, row: 7362, expected_value: All persons, label: sex} + - {column: E, row: 7362, expected_value: Employee, label: employment type} + - {column: J, row: 7362, expected_value: Value, label: measure} + - {column: L, row: 7363, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7364 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7364, expected_value: E12000007, label: geography} + - {column: D, row: 7364, expected_value: All persons, label: sex} + - {column: E, row: 7364, expected_value: Employee, label: employment type} + - {column: J, row: 7364, expected_value: Value, label: measure} + - {column: L, row: 7365, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7366 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7366, expected_value: E12000007, label: geography} + - {column: D, row: 7366, expected_value: All persons, label: sex} + - {column: E, row: 7366, expected_value: Employee, label: employment type} + - {column: J, row: 7366, expected_value: Value, label: measure} + - {column: L, row: 7367, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7368 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7368, expected_value: E12000007, label: geography} + - {column: D, row: 7368, expected_value: All persons, label: sex} + - {column: E, row: 7368, expected_value: Employee, label: employment type} + - {column: J, row: 7368, expected_value: Value, label: measure} + - {column: L, row: 7369, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7370 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7370, expected_value: E12000007, label: geography} + - {column: D, row: 7370, expected_value: All persons, label: sex} + - {column: E, row: 7370, expected_value: Employee, label: employment type} + - {column: J, row: 7370, expected_value: Value, label: measure} + - {column: L, row: 7371, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7372 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7372, expected_value: E12000007, label: geography} + - {column: D, row: 7372, expected_value: All persons, label: sex} + - {column: E, row: 7372, expected_value: Employee, label: employment type} + - {column: J, row: 7372, expected_value: Value, label: measure} + - {column: L, row: 7373, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7374 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7374, expected_value: E12000007, label: geography} + - {column: D, row: 7374, expected_value: All persons, label: sex} + - {column: E, row: 7374, expected_value: Employee, label: employment type} + - {column: J, row: 7374, expected_value: Value, label: measure} + - {column: L, row: 7375, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7376 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7376, expected_value: E12000007, label: geography} + - {column: D, row: 7376, expected_value: All persons, label: sex} + - {column: E, row: 7376, expected_value: Employee, label: employment type} + - {column: J, row: 7376, expected_value: Value, label: measure} + - {column: L, row: 7377, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7378 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7378, expected_value: E12000007, label: geography} + - {column: D, row: 7378, expected_value: All persons, label: sex} + - {column: E, row: 7378, expected_value: Employee, label: employment type} + - {column: J, row: 7378, expected_value: Value, label: measure} + - {column: L, row: 7379, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7380 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7380, expected_value: E12000007, label: geography} + - {column: D, row: 7380, expected_value: All persons, label: sex} + - {column: E, row: 7380, expected_value: Employee, label: employment type} + - {column: J, row: 7380, expected_value: Value, label: measure} + - {column: L, row: 7381, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7382 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7382, expected_value: E12000007, label: geography} + - {column: D, row: 7382, expected_value: All persons, label: sex} + - {column: E, row: 7382, expected_value: Employee, label: employment type} + - {column: J, row: 7382, expected_value: Value, label: measure} + - {column: L, row: 7383, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7384 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7384, expected_value: E12000007, label: geography} + - {column: D, row: 7384, expected_value: All persons, label: sex} + - {column: E, row: 7384, expected_value: Employee, label: employment type} + - {column: J, row: 7384, expected_value: Value, label: measure} + - {column: L, row: 7385, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7386 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7386, expected_value: E12000007, label: geography} + - {column: D, row: 7386, expected_value: All persons, label: sex} + - {column: E, row: 7386, expected_value: Employee, label: employment type} + - {column: J, row: 7386, expected_value: Value, label: measure} + - {column: L, row: 7387, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7388 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7388, expected_value: E12000007, label: geography} + - {column: D, row: 7388, expected_value: All persons, label: sex} + - {column: E, row: 7388, expected_value: Employee, label: employment type} + - {column: J, row: 7388, expected_value: Value, label: measure} + - {column: L, row: 7389, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7390 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7390, expected_value: E12000007, label: geography} + - {column: D, row: 7390, expected_value: All persons, label: sex} + - {column: E, row: 7390, expected_value: Employee, label: employment type} + - {column: J, row: 7390, expected_value: Value, label: measure} + - {column: L, row: 7391, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7392 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7392, expected_value: E12000007, label: geography} + - {column: D, row: 7392, expected_value: All persons, label: sex} + - {column: E, row: 7392, expected_value: Employee, label: employment type} + - {column: J, row: 7392, expected_value: Value, label: measure} + - {column: L, row: 7393, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7394 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7394, expected_value: E12000007, label: geography} + - {column: D, row: 7394, expected_value: All persons, label: sex} + - {column: E, row: 7394, expected_value: Employee, label: employment type} + - {column: J, row: 7394, expected_value: Value, label: measure} + - {column: L, row: 7395, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7396 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7396, expected_value: E12000007, label: geography} + - {column: D, row: 7396, expected_value: All persons, label: sex} + - {column: E, row: 7396, expected_value: Employee, label: employment type} + - {column: J, row: 7396, expected_value: Value, label: measure} + - {column: L, row: 7397, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7398 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7398, expected_value: E12000007, label: geography} + - {column: D, row: 7398, expected_value: All persons, label: sex} + - {column: E, row: 7398, expected_value: Employee, label: employment type} + - {column: J, row: 7398, expected_value: Value, label: measure} + - {column: L, row: 7399, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7400 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7400, expected_value: E12000007, label: geography} + - {column: D, row: 7400, expected_value: All persons, label: sex} + - {column: E, row: 7400, expected_value: Employee, label: employment type} + - {column: J, row: 7400, expected_value: Value, label: measure} + - {column: L, row: 7401, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7402 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7402, expected_value: E12000007, label: geography} + - {column: D, row: 7402, expected_value: All persons, label: sex} + - {column: E, row: 7402, expected_value: Employee, label: employment type} + - {column: J, row: 7402, expected_value: Value, label: measure} + - {column: L, row: 7403, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7404 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7404, expected_value: E12000007, label: geography} + - {column: D, row: 7404, expected_value: All persons, label: sex} + - {column: E, row: 7404, expected_value: Employee, label: employment type} + - {column: J, row: 7404, expected_value: Value, label: measure} + - {column: L, row: 7405, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7406 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7406, expected_value: E12000007, label: geography} + - {column: D, row: 7406, expected_value: All persons, label: sex} + - {column: E, row: 7406, expected_value: Employee, label: employment type} + - {column: J, row: 7406, expected_value: Value, label: measure} + - {column: L, row: 7407, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7408 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7408, expected_value: E12000007, label: geography} + - {column: D, row: 7408, expected_value: All persons, label: sex} + - {column: E, row: 7408, expected_value: Employee, label: employment type} + - {column: J, row: 7408, expected_value: Value, label: measure} + - {column: L, row: 7409, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7410 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7410, expected_value: E12000007, label: geography} + - {column: D, row: 7410, expected_value: All persons, label: sex} + - {column: E, row: 7410, expected_value: Employee, label: employment type} + - {column: J, row: 7410, expected_value: Value, label: measure} + - {column: L, row: 7411, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7412 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7412, expected_value: E12000007, label: geography} + - {column: D, row: 7412, expected_value: All persons, label: sex} + - {column: E, row: 7412, expected_value: Employee, label: employment type} + - {column: J, row: 7412, expected_value: Value, label: measure} + - {column: L, row: 7413, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7414 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7414, expected_value: E12000007, label: geography} + - {column: D, row: 7414, expected_value: All persons, label: sex} + - {column: E, row: 7414, expected_value: Employee, label: employment type} + - {column: J, row: 7414, expected_value: Value, label: measure} + - {column: L, row: 7415, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7416 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7416, expected_value: E12000007, label: geography} + - {column: D, row: 7416, expected_value: All persons, label: sex} + - {column: E, row: 7416, expected_value: Employee, label: employment type} + - {column: J, row: 7416, expected_value: Value, label: measure} + - {column: L, row: 7417, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7347 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7347, expected_value: E12000007, label: geography} + - {column: D, row: 7347, expected_value: All persons, label: sex} + - {column: E, row: 7347, expected_value: Employee, label: employment type} + - {column: J, row: 7347, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7349 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7349, expected_value: E12000007, label: geography} + - {column: D, row: 7349, expected_value: All persons, label: sex} + - {column: E, row: 7349, expected_value: Employee, label: employment type} + - {column: J, row: 7349, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7351 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7351, expected_value: E12000007, label: geography} + - {column: D, row: 7351, expected_value: All persons, label: sex} + - {column: E, row: 7351, expected_value: Employee, label: employment type} + - {column: J, row: 7351, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7353 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7353, expected_value: E12000007, label: geography} + - {column: D, row: 7353, expected_value: All persons, label: sex} + - {column: E, row: 7353, expected_value: Employee, label: employment type} + - {column: J, row: 7353, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7355 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7355, expected_value: E12000007, label: geography} + - {column: D, row: 7355, expected_value: All persons, label: sex} + - {column: E, row: 7355, expected_value: Employee, label: employment type} + - {column: J, row: 7355, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7357 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7357, expected_value: E12000007, label: geography} + - {column: D, row: 7357, expected_value: All persons, label: sex} + - {column: E, row: 7357, expected_value: Employee, label: employment type} + - {column: J, row: 7357, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7359 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7359, expected_value: E12000007, label: geography} + - {column: D, row: 7359, expected_value: All persons, label: sex} + - {column: E, row: 7359, expected_value: Employee, label: employment type} + - {column: J, row: 7359, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7361 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7361, expected_value: E12000007, label: geography} + - {column: D, row: 7361, expected_value: All persons, label: sex} + - {column: E, row: 7361, expected_value: Employee, label: employment type} + - {column: J, row: 7361, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7363 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7363, expected_value: E12000007, label: geography} + - {column: D, row: 7363, expected_value: All persons, label: sex} + - {column: E, row: 7363, expected_value: Employee, label: employment type} + - {column: J, row: 7363, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7365 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7365, expected_value: E12000007, label: geography} + - {column: D, row: 7365, expected_value: All persons, label: sex} + - {column: E, row: 7365, expected_value: Employee, label: employment type} + - {column: J, row: 7365, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7367 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7367, expected_value: E12000007, label: geography} + - {column: D, row: 7367, expected_value: All persons, label: sex} + - {column: E, row: 7367, expected_value: Employee, label: employment type} + - {column: J, row: 7367, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7369 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7369, expected_value: E12000007, label: geography} + - {column: D, row: 7369, expected_value: All persons, label: sex} + - {column: E, row: 7369, expected_value: Employee, label: employment type} + - {column: J, row: 7369, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7371 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7371, expected_value: E12000007, label: geography} + - {column: D, row: 7371, expected_value: All persons, label: sex} + - {column: E, row: 7371, expected_value: Employee, label: employment type} + - {column: J, row: 7371, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7373 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7373, expected_value: E12000007, label: geography} + - {column: D, row: 7373, expected_value: All persons, label: sex} + - {column: E, row: 7373, expected_value: Employee, label: employment type} + - {column: J, row: 7373, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7375 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7375, expected_value: E12000007, label: geography} + - {column: D, row: 7375, expected_value: All persons, label: sex} + - {column: E, row: 7375, expected_value: Employee, label: employment type} + - {column: J, row: 7375, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7377 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7377, expected_value: E12000007, label: geography} + - {column: D, row: 7377, expected_value: All persons, label: sex} + - {column: E, row: 7377, expected_value: Employee, label: employment type} + - {column: J, row: 7377, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7379 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7379, expected_value: E12000007, label: geography} + - {column: D, row: 7379, expected_value: All persons, label: sex} + - {column: E, row: 7379, expected_value: Employee, label: employment type} + - {column: J, row: 7379, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7381 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7381, expected_value: E12000007, label: geography} + - {column: D, row: 7381, expected_value: All persons, label: sex} + - {column: E, row: 7381, expected_value: Employee, label: employment type} + - {column: J, row: 7381, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7383 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7383, expected_value: E12000007, label: geography} + - {column: D, row: 7383, expected_value: All persons, label: sex} + - {column: E, row: 7383, expected_value: Employee, label: employment type} + - {column: J, row: 7383, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7385 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7385, expected_value: E12000007, label: geography} + - {column: D, row: 7385, expected_value: All persons, label: sex} + - {column: E, row: 7385, expected_value: Employee, label: employment type} + - {column: J, row: 7385, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7387 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7387, expected_value: E12000007, label: geography} + - {column: D, row: 7387, expected_value: All persons, label: sex} + - {column: E, row: 7387, expected_value: Employee, label: employment type} + - {column: J, row: 7387, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7389 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7389, expected_value: E12000007, label: geography} + - {column: D, row: 7389, expected_value: All persons, label: sex} + - {column: E, row: 7389, expected_value: Employee, label: employment type} + - {column: J, row: 7389, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7391 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7391, expected_value: E12000007, label: geography} + - {column: D, row: 7391, expected_value: All persons, label: sex} + - {column: E, row: 7391, expected_value: Employee, label: employment type} + - {column: J, row: 7391, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7393 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7393, expected_value: E12000007, label: geography} + - {column: D, row: 7393, expected_value: All persons, label: sex} + - {column: E, row: 7393, expected_value: Employee, label: employment type} + - {column: J, row: 7393, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7395 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7395, expected_value: E12000007, label: geography} + - {column: D, row: 7395, expected_value: All persons, label: sex} + - {column: E, row: 7395, expected_value: Employee, label: employment type} + - {column: J, row: 7395, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7397 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7397, expected_value: E12000007, label: geography} + - {column: D, row: 7397, expected_value: All persons, label: sex} + - {column: E, row: 7397, expected_value: Employee, label: employment type} + - {column: J, row: 7397, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7401 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7401, expected_value: E12000007, label: geography} + - {column: D, row: 7401, expected_value: All persons, label: sex} + - {column: E, row: 7401, expected_value: Employee, label: employment type} + - {column: J, row: 7401, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7403 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7403, expected_value: E12000007, label: geography} + - {column: D, row: 7403, expected_value: All persons, label: sex} + - {column: E, row: 7403, expected_value: Employee, label: employment type} + - {column: J, row: 7403, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7405 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7405, expected_value: E12000007, label: geography} + - {column: D, row: 7405, expected_value: All persons, label: sex} + - {column: E, row: 7405, expected_value: Employee, label: employment type} + - {column: J, row: 7405, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7407 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7407, expected_value: E12000007, label: geography} + - {column: D, row: 7407, expected_value: All persons, label: sex} + - {column: E, row: 7407, expected_value: Employee, label: employment type} + - {column: J, row: 7407, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7409 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7409, expected_value: E12000007, label: geography} + - {column: D, row: 7409, expected_value: All persons, label: sex} + - {column: E, row: 7409, expected_value: Employee, label: employment type} + - {column: J, row: 7409, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7411 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7411, expected_value: E12000007, label: geography} + - {column: D, row: 7411, expected_value: All persons, label: sex} + - {column: E, row: 7411, expected_value: Employee, label: employment type} + - {column: J, row: 7411, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7413 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7413, expected_value: E12000007, label: geography} + - {column: D, row: 7413, expected_value: All persons, label: sex} + - {column: E, row: 7413, expected_value: Employee, label: employment type} + - {column: J, row: 7413, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7415 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7415, expected_value: E12000007, label: geography} + - {column: D, row: 7415, expected_value: All persons, label: sex} + - {column: E, row: 7415, expected_value: Employee, label: employment type} + - {column: J, row: 7415, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7417 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7417, expected_value: E12000007, label: geography} + - {column: D, row: 7417, expected_value: All persons, label: sex} + - {column: E, row: 7417, expected_value: Employee, label: employment type} + - {column: J, row: 7417, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7562 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7562, expected_value: E12000007, label: geography} + - {column: D, row: 7562, expected_value: All persons, label: sex} + - {column: E, row: 7562, expected_value: Self-employed, label: employment type} + - {column: J, row: 7562, expected_value: Value, label: measure} + - {column: L, row: 7563, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7564 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7564, expected_value: E12000007, label: geography} + - {column: D, row: 7564, expected_value: All persons, label: sex} + - {column: E, row: 7564, expected_value: Self-employed, label: employment type} + - {column: J, row: 7564, expected_value: Value, label: measure} + - {column: L, row: 7565, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7566 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7566, expected_value: E12000007, label: geography} + - {column: D, row: 7566, expected_value: All persons, label: sex} + - {column: E, row: 7566, expected_value: Self-employed, label: employment type} + - {column: J, row: 7566, expected_value: Value, label: measure} + - {column: L, row: 7567, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7568 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7568, expected_value: E12000007, label: geography} + - {column: D, row: 7568, expected_value: All persons, label: sex} + - {column: E, row: 7568, expected_value: Self-employed, label: employment type} + - {column: J, row: 7568, expected_value: Value, label: measure} + - {column: L, row: 7569, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7570 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7570, expected_value: E12000007, label: geography} + - {column: D, row: 7570, expected_value: All persons, label: sex} + - {column: E, row: 7570, expected_value: Self-employed, label: employment type} + - {column: J, row: 7570, expected_value: Value, label: measure} + - {column: L, row: 7571, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7572 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7572, expected_value: E12000007, label: geography} + - {column: D, row: 7572, expected_value: All persons, label: sex} + - {column: E, row: 7572, expected_value: Self-employed, label: employment type} + - {column: J, row: 7572, expected_value: Value, label: measure} + - {column: L, row: 7573, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7574 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7574, expected_value: E12000007, label: geography} + - {column: D, row: 7574, expected_value: All persons, label: sex} + - {column: E, row: 7574, expected_value: Self-employed, label: employment type} + - {column: J, row: 7574, expected_value: Value, label: measure} + - {column: L, row: 7575, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7576 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7576, expected_value: E12000007, label: geography} + - {column: D, row: 7576, expected_value: All persons, label: sex} + - {column: E, row: 7576, expected_value: Self-employed, label: employment type} + - {column: J, row: 7576, expected_value: Value, label: measure} + - {column: L, row: 7577, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7578 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7578, expected_value: E12000007, label: geography} + - {column: D, row: 7578, expected_value: All persons, label: sex} + - {column: E, row: 7578, expected_value: Self-employed, label: employment type} + - {column: J, row: 7578, expected_value: Value, label: measure} + - {column: L, row: 7579, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7580 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7580, expected_value: E12000007, label: geography} + - {column: D, row: 7580, expected_value: All persons, label: sex} + - {column: E, row: 7580, expected_value: Self-employed, label: employment type} + - {column: J, row: 7580, expected_value: Value, label: measure} + - {column: L, row: 7581, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7582 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7582, expected_value: E12000007, label: geography} + - {column: D, row: 7582, expected_value: All persons, label: sex} + - {column: E, row: 7582, expected_value: Self-employed, label: employment type} + - {column: J, row: 7582, expected_value: Value, label: measure} + - {column: L, row: 7583, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7584 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7584, expected_value: E12000007, label: geography} + - {column: D, row: 7584, expected_value: All persons, label: sex} + - {column: E, row: 7584, expected_value: Self-employed, label: employment type} + - {column: J, row: 7584, expected_value: Value, label: measure} + - {column: L, row: 7585, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7588 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7588, expected_value: E12000007, label: geography} + - {column: D, row: 7588, expected_value: All persons, label: sex} + - {column: E, row: 7588, expected_value: Self-employed, label: employment type} + - {column: J, row: 7588, expected_value: Value, label: measure} + - {column: L, row: 7589, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7590 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7590, expected_value: E12000007, label: geography} + - {column: D, row: 7590, expected_value: All persons, label: sex} + - {column: E, row: 7590, expected_value: Self-employed, label: employment type} + - {column: J, row: 7590, expected_value: Value, label: measure} + - {column: L, row: 7591, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7592 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7592, expected_value: E12000007, label: geography} + - {column: D, row: 7592, expected_value: All persons, label: sex} + - {column: E, row: 7592, expected_value: Self-employed, label: employment type} + - {column: J, row: 7592, expected_value: Value, label: measure} + - {column: L, row: 7593, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7594 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7594, expected_value: E12000007, label: geography} + - {column: D, row: 7594, expected_value: All persons, label: sex} + - {column: E, row: 7594, expected_value: Self-employed, label: employment type} + - {column: J, row: 7594, expected_value: Value, label: measure} + - {column: L, row: 7595, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7596 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7596, expected_value: E12000007, label: geography} + - {column: D, row: 7596, expected_value: All persons, label: sex} + - {column: E, row: 7596, expected_value: Self-employed, label: employment type} + - {column: J, row: 7596, expected_value: Value, label: measure} + - {column: L, row: 7597, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7598 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7598, expected_value: E12000007, label: geography} + - {column: D, row: 7598, expected_value: All persons, label: sex} + - {column: E, row: 7598, expected_value: Self-employed, label: employment type} + - {column: J, row: 7598, expected_value: Value, label: measure} + - {column: L, row: 7599, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7600 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7600, expected_value: E12000007, label: geography} + - {column: D, row: 7600, expected_value: All persons, label: sex} + - {column: E, row: 7600, expected_value: Self-employed, label: employment type} + - {column: J, row: 7600, expected_value: Value, label: measure} + - {column: L, row: 7601, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7602 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7602, expected_value: E12000007, label: geography} + - {column: D, row: 7602, expected_value: All persons, label: sex} + - {column: E, row: 7602, expected_value: Self-employed, label: employment type} + - {column: J, row: 7602, expected_value: Value, label: measure} + - {column: L, row: 7603, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7604 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7604, expected_value: E12000007, label: geography} + - {column: D, row: 7604, expected_value: All persons, label: sex} + - {column: E, row: 7604, expected_value: Self-employed, label: employment type} + - {column: J, row: 7604, expected_value: Value, label: measure} + - {column: L, row: 7605, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7606 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7606, expected_value: E12000007, label: geography} + - {column: D, row: 7606, expected_value: All persons, label: sex} + - {column: E, row: 7606, expected_value: Self-employed, label: employment type} + - {column: J, row: 7606, expected_value: Value, label: measure} + - {column: L, row: 7607, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7608 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7608, expected_value: E12000007, label: geography} + - {column: D, row: 7608, expected_value: All persons, label: sex} + - {column: E, row: 7608, expected_value: Self-employed, label: employment type} + - {column: J, row: 7608, expected_value: Value, label: measure} + - {column: L, row: 7609, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7610 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7610, expected_value: E12000007, label: geography} + - {column: D, row: 7610, expected_value: All persons, label: sex} + - {column: E, row: 7610, expected_value: Self-employed, label: employment type} + - {column: J, row: 7610, expected_value: Value, label: measure} + - {column: L, row: 7611, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7612 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7612, expected_value: E12000007, label: geography} + - {column: D, row: 7612, expected_value: All persons, label: sex} + - {column: E, row: 7612, expected_value: Self-employed, label: employment type} + - {column: J, row: 7612, expected_value: Value, label: measure} + - {column: L, row: 7613, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7616 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7616, expected_value: E12000007, label: geography} + - {column: D, row: 7616, expected_value: All persons, label: sex} + - {column: E, row: 7616, expected_value: Self-employed, label: employment type} + - {column: J, row: 7616, expected_value: Value, label: measure} + - {column: L, row: 7617, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7618 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7618, expected_value: E12000007, label: geography} + - {column: D, row: 7618, expected_value: All persons, label: sex} + - {column: E, row: 7618, expected_value: Self-employed, label: employment type} + - {column: J, row: 7618, expected_value: Value, label: measure} + - {column: L, row: 7619, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7620 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7620, expected_value: E12000007, label: geography} + - {column: D, row: 7620, expected_value: All persons, label: sex} + - {column: E, row: 7620, expected_value: Self-employed, label: employment type} + - {column: J, row: 7620, expected_value: Value, label: measure} + - {column: L, row: 7621, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7622 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7622, expected_value: E12000007, label: geography} + - {column: D, row: 7622, expected_value: All persons, label: sex} + - {column: E, row: 7622, expected_value: Self-employed, label: employment type} + - {column: J, row: 7622, expected_value: Value, label: measure} + - {column: L, row: 7623, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7624 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7624, expected_value: E12000007, label: geography} + - {column: D, row: 7624, expected_value: All persons, label: sex} + - {column: E, row: 7624, expected_value: Self-employed, label: employment type} + - {column: J, row: 7624, expected_value: Value, label: measure} + - {column: L, row: 7625, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7626 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7626, expected_value: E12000007, label: geography} + - {column: D, row: 7626, expected_value: All persons, label: sex} + - {column: E, row: 7626, expected_value: Self-employed, label: employment type} + - {column: J, row: 7626, expected_value: Value, label: measure} + - {column: L, row: 7627, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7628 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7628, expected_value: E12000007, label: geography} + - {column: D, row: 7628, expected_value: All persons, label: sex} + - {column: E, row: 7628, expected_value: Self-employed, label: employment type} + - {column: J, row: 7628, expected_value: Value, label: measure} + - {column: L, row: 7629, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7630 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7630, expected_value: E12000007, label: geography} + - {column: D, row: 7630, expected_value: All persons, label: sex} + - {column: E, row: 7630, expected_value: Self-employed, label: employment type} + - {column: J, row: 7630, expected_value: Value, label: measure} + - {column: L, row: 7631, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7632 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7632, expected_value: E12000007, label: geography} + - {column: D, row: 7632, expected_value: All persons, label: sex} + - {column: E, row: 7632, expected_value: Self-employed, label: employment type} + - {column: J, row: 7632, expected_value: Value, label: measure} + - {column: L, row: 7633, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7563 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7563, expected_value: E12000007, label: geography} + - {column: D, row: 7563, expected_value: All persons, label: sex} + - {column: E, row: 7563, expected_value: Self-employed, label: employment type} + - {column: J, row: 7563, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7565 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7565, expected_value: E12000007, label: geography} + - {column: D, row: 7565, expected_value: All persons, label: sex} + - {column: E, row: 7565, expected_value: Self-employed, label: employment type} + - {column: J, row: 7565, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7567 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7567, expected_value: E12000007, label: geography} + - {column: D, row: 7567, expected_value: All persons, label: sex} + - {column: E, row: 7567, expected_value: Self-employed, label: employment type} + - {column: J, row: 7567, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7569 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7569, expected_value: E12000007, label: geography} + - {column: D, row: 7569, expected_value: All persons, label: sex} + - {column: E, row: 7569, expected_value: Self-employed, label: employment type} + - {column: J, row: 7569, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7571 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7571, expected_value: E12000007, label: geography} + - {column: D, row: 7571, expected_value: All persons, label: sex} + - {column: E, row: 7571, expected_value: Self-employed, label: employment type} + - {column: J, row: 7571, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7573 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7573, expected_value: E12000007, label: geography} + - {column: D, row: 7573, expected_value: All persons, label: sex} + - {column: E, row: 7573, expected_value: Self-employed, label: employment type} + - {column: J, row: 7573, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7575 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7575, expected_value: E12000007, label: geography} + - {column: D, row: 7575, expected_value: All persons, label: sex} + - {column: E, row: 7575, expected_value: Self-employed, label: employment type} + - {column: J, row: 7575, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7577 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7577, expected_value: E12000007, label: geography} + - {column: D, row: 7577, expected_value: All persons, label: sex} + - {column: E, row: 7577, expected_value: Self-employed, label: employment type} + - {column: J, row: 7577, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7579 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7579, expected_value: E12000007, label: geography} + - {column: D, row: 7579, expected_value: All persons, label: sex} + - {column: E, row: 7579, expected_value: Self-employed, label: employment type} + - {column: J, row: 7579, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7581 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7581, expected_value: E12000007, label: geography} + - {column: D, row: 7581, expected_value: All persons, label: sex} + - {column: E, row: 7581, expected_value: Self-employed, label: employment type} + - {column: J, row: 7581, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7585 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7585, expected_value: E12000007, label: geography} + - {column: D, row: 7585, expected_value: All persons, label: sex} + - {column: E, row: 7585, expected_value: Self-employed, label: employment type} + - {column: J, row: 7585, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7589 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7589, expected_value: E12000007, label: geography} + - {column: D, row: 7589, expected_value: All persons, label: sex} + - {column: E, row: 7589, expected_value: Self-employed, label: employment type} + - {column: J, row: 7589, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7591 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7591, expected_value: E12000007, label: geography} + - {column: D, row: 7591, expected_value: All persons, label: sex} + - {column: E, row: 7591, expected_value: Self-employed, label: employment type} + - {column: J, row: 7591, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7593 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7593, expected_value: E12000007, label: geography} + - {column: D, row: 7593, expected_value: All persons, label: sex} + - {column: E, row: 7593, expected_value: Self-employed, label: employment type} + - {column: J, row: 7593, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7595 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7595, expected_value: E12000007, label: geography} + - {column: D, row: 7595, expected_value: All persons, label: sex} + - {column: E, row: 7595, expected_value: Self-employed, label: employment type} + - {column: J, row: 7595, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7599 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7599, expected_value: E12000007, label: geography} + - {column: D, row: 7599, expected_value: All persons, label: sex} + - {column: E, row: 7599, expected_value: Self-employed, label: employment type} + - {column: J, row: 7599, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7603 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7603, expected_value: E12000007, label: geography} + - {column: D, row: 7603, expected_value: All persons, label: sex} + - {column: E, row: 7603, expected_value: Self-employed, label: employment type} + - {column: J, row: 7603, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7605 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7605, expected_value: E12000007, label: geography} + - {column: D, row: 7605, expected_value: All persons, label: sex} + - {column: E, row: 7605, expected_value: Self-employed, label: employment type} + - {column: J, row: 7605, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7607 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7607, expected_value: E12000007, label: geography} + - {column: D, row: 7607, expected_value: All persons, label: sex} + - {column: E, row: 7607, expected_value: Self-employed, label: employment type} + - {column: J, row: 7607, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7609 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7609, expected_value: E12000007, label: geography} + - {column: D, row: 7609, expected_value: All persons, label: sex} + - {column: E, row: 7609, expected_value: Self-employed, label: employment type} + - {column: J, row: 7609, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7611 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7611, expected_value: E12000007, label: geography} + - {column: D, row: 7611, expected_value: All persons, label: sex} + - {column: E, row: 7611, expected_value: Self-employed, label: employment type} + - {column: J, row: 7611, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7613 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7613, expected_value: E12000007, label: geography} + - {column: D, row: 7613, expected_value: All persons, label: sex} + - {column: E, row: 7613, expected_value: Self-employed, label: employment type} + - {column: J, row: 7613, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7617 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7617, expected_value: E12000007, label: geography} + - {column: D, row: 7617, expected_value: All persons, label: sex} + - {column: E, row: 7617, expected_value: Self-employed, label: employment type} + - {column: J, row: 7617, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7619 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7619, expected_value: E12000007, label: geography} + - {column: D, row: 7619, expected_value: All persons, label: sex} + - {column: E, row: 7619, expected_value: Self-employed, label: employment type} + - {column: J, row: 7619, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7623 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7623, expected_value: E12000007, label: geography} + - {column: D, row: 7623, expected_value: All persons, label: sex} + - {column: E, row: 7623, expected_value: Self-employed, label: employment type} + - {column: J, row: 7623, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7625 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7625, expected_value: E12000007, label: geography} + - {column: D, row: 7625, expected_value: All persons, label: sex} + - {column: E, row: 7625, expected_value: Self-employed, label: employment type} + - {column: J, row: 7625, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7627 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7627, expected_value: E12000007, label: geography} + - {column: D, row: 7627, expected_value: All persons, label: sex} + - {column: E, row: 7627, expected_value: Self-employed, label: employment type} + - {column: J, row: 7627, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7629 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7629, expected_value: E12000007, label: geography} + - {column: D, row: 7629, expected_value: All persons, label: sex} + - {column: E, row: 7629, expected_value: Self-employed, label: employment type} + - {column: J, row: 7629, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7633 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7633, expected_value: E12000007, label: geography} + - {column: D, row: 7633, expected_value: All persons, label: sex} + - {column: E, row: 7633, expected_value: Self-employed, label: employment type} + - {column: J, row: 7633, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7202 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7202, expected_value: E12000007, label: geography} + - {column: D, row: 7202, expected_value: Males, label: sex} + - {column: E, row: 7202, expected_value: Total, label: employment type} + - {column: J, row: 7202, expected_value: Value, label: measure} + - {column: L, row: 7203, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7204 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7204, expected_value: E12000007, label: geography} + - {column: D, row: 7204, expected_value: Males, label: sex} + - {column: E, row: 7204, expected_value: Total, label: employment type} + - {column: J, row: 7204, expected_value: Value, label: measure} + - {column: L, row: 7205, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7206 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7206, expected_value: E12000007, label: geography} + - {column: D, row: 7206, expected_value: Males, label: sex} + - {column: E, row: 7206, expected_value: Total, label: employment type} + - {column: J, row: 7206, expected_value: Value, label: measure} + - {column: L, row: 7207, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7208 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7208, expected_value: E12000007, label: geography} + - {column: D, row: 7208, expected_value: Males, label: sex} + - {column: E, row: 7208, expected_value: Total, label: employment type} + - {column: J, row: 7208, expected_value: Value, label: measure} + - {column: L, row: 7209, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7210 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7210, expected_value: E12000007, label: geography} + - {column: D, row: 7210, expected_value: Males, label: sex} + - {column: E, row: 7210, expected_value: Total, label: employment type} + - {column: J, row: 7210, expected_value: Value, label: measure} + - {column: L, row: 7211, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7212 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7212, expected_value: E12000007, label: geography} + - {column: D, row: 7212, expected_value: Males, label: sex} + - {column: E, row: 7212, expected_value: Total, label: employment type} + - {column: J, row: 7212, expected_value: Value, label: measure} + - {column: L, row: 7213, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7214 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7214, expected_value: E12000007, label: geography} + - {column: D, row: 7214, expected_value: Males, label: sex} + - {column: E, row: 7214, expected_value: Total, label: employment type} + - {column: J, row: 7214, expected_value: Value, label: measure} + - {column: L, row: 7215, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7216 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7216, expected_value: E12000007, label: geography} + - {column: D, row: 7216, expected_value: Males, label: sex} + - {column: E, row: 7216, expected_value: Total, label: employment type} + - {column: J, row: 7216, expected_value: Value, label: measure} + - {column: L, row: 7217, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7218 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7218, expected_value: E12000007, label: geography} + - {column: D, row: 7218, expected_value: Males, label: sex} + - {column: E, row: 7218, expected_value: Total, label: employment type} + - {column: J, row: 7218, expected_value: Value, label: measure} + - {column: L, row: 7219, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7220 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7220, expected_value: E12000007, label: geography} + - {column: D, row: 7220, expected_value: Males, label: sex} + - {column: E, row: 7220, expected_value: Total, label: employment type} + - {column: J, row: 7220, expected_value: Value, label: measure} + - {column: L, row: 7221, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7222 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7222, expected_value: E12000007, label: geography} + - {column: D, row: 7222, expected_value: Males, label: sex} + - {column: E, row: 7222, expected_value: Total, label: employment type} + - {column: J, row: 7222, expected_value: Value, label: measure} + - {column: L, row: 7223, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7224 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7224, expected_value: E12000007, label: geography} + - {column: D, row: 7224, expected_value: Males, label: sex} + - {column: E, row: 7224, expected_value: Total, label: employment type} + - {column: J, row: 7224, expected_value: Value, label: measure} + - {column: L, row: 7225, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7226 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7226, expected_value: E12000007, label: geography} + - {column: D, row: 7226, expected_value: Males, label: sex} + - {column: E, row: 7226, expected_value: Total, label: employment type} + - {column: J, row: 7226, expected_value: Value, label: measure} + - {column: L, row: 7227, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7228 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7228, expected_value: E12000007, label: geography} + - {column: D, row: 7228, expected_value: Males, label: sex} + - {column: E, row: 7228, expected_value: Total, label: employment type} + - {column: J, row: 7228, expected_value: Value, label: measure} + - {column: L, row: 7229, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7230 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7230, expected_value: E12000007, label: geography} + - {column: D, row: 7230, expected_value: Males, label: sex} + - {column: E, row: 7230, expected_value: Total, label: employment type} + - {column: J, row: 7230, expected_value: Value, label: measure} + - {column: L, row: 7231, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7232 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7232, expected_value: E12000007, label: geography} + - {column: D, row: 7232, expected_value: Males, label: sex} + - {column: E, row: 7232, expected_value: Total, label: employment type} + - {column: J, row: 7232, expected_value: Value, label: measure} + - {column: L, row: 7233, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7234 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7234, expected_value: E12000007, label: geography} + - {column: D, row: 7234, expected_value: Males, label: sex} + - {column: E, row: 7234, expected_value: Total, label: employment type} + - {column: J, row: 7234, expected_value: Value, label: measure} + - {column: L, row: 7235, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7236 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7236, expected_value: E12000007, label: geography} + - {column: D, row: 7236, expected_value: Males, label: sex} + - {column: E, row: 7236, expected_value: Total, label: employment type} + - {column: J, row: 7236, expected_value: Value, label: measure} + - {column: L, row: 7237, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7238 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7238, expected_value: E12000007, label: geography} + - {column: D, row: 7238, expected_value: Males, label: sex} + - {column: E, row: 7238, expected_value: Total, label: employment type} + - {column: J, row: 7238, expected_value: Value, label: measure} + - {column: L, row: 7239, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7240 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7240, expected_value: E12000007, label: geography} + - {column: D, row: 7240, expected_value: Males, label: sex} + - {column: E, row: 7240, expected_value: Total, label: employment type} + - {column: J, row: 7240, expected_value: Value, label: measure} + - {column: L, row: 7241, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7242 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7242, expected_value: E12000007, label: geography} + - {column: D, row: 7242, expected_value: Males, label: sex} + - {column: E, row: 7242, expected_value: Total, label: employment type} + - {column: J, row: 7242, expected_value: Value, label: measure} + - {column: L, row: 7243, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7244 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7244, expected_value: E12000007, label: geography} + - {column: D, row: 7244, expected_value: Males, label: sex} + - {column: E, row: 7244, expected_value: Total, label: employment type} + - {column: J, row: 7244, expected_value: Value, label: measure} + - {column: L, row: 7245, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7246 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7246, expected_value: E12000007, label: geography} + - {column: D, row: 7246, expected_value: Males, label: sex} + - {column: E, row: 7246, expected_value: Total, label: employment type} + - {column: J, row: 7246, expected_value: Value, label: measure} + - {column: L, row: 7247, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7248 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7248, expected_value: E12000007, label: geography} + - {column: D, row: 7248, expected_value: Males, label: sex} + - {column: E, row: 7248, expected_value: Total, label: employment type} + - {column: J, row: 7248, expected_value: Value, label: measure} + - {column: L, row: 7249, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7250 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7250, expected_value: E12000007, label: geography} + - {column: D, row: 7250, expected_value: Males, label: sex} + - {column: E, row: 7250, expected_value: Total, label: employment type} + - {column: J, row: 7250, expected_value: Value, label: measure} + - {column: L, row: 7251, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7252 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7252, expected_value: E12000007, label: geography} + - {column: D, row: 7252, expected_value: Males, label: sex} + - {column: E, row: 7252, expected_value: Total, label: employment type} + - {column: J, row: 7252, expected_value: Value, label: measure} + - {column: L, row: 7253, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7254 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7254, expected_value: E12000007, label: geography} + - {column: D, row: 7254, expected_value: Males, label: sex} + - {column: E, row: 7254, expected_value: Total, label: employment type} + - {column: J, row: 7254, expected_value: Value, label: measure} + - {column: L, row: 7255, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7256 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7256, expected_value: E12000007, label: geography} + - {column: D, row: 7256, expected_value: Males, label: sex} + - {column: E, row: 7256, expected_value: Total, label: employment type} + - {column: J, row: 7256, expected_value: Value, label: measure} + - {column: L, row: 7257, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7258 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7258, expected_value: E12000007, label: geography} + - {column: D, row: 7258, expected_value: Males, label: sex} + - {column: E, row: 7258, expected_value: Total, label: employment type} + - {column: J, row: 7258, expected_value: Value, label: measure} + - {column: L, row: 7259, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7260 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7260, expected_value: E12000007, label: geography} + - {column: D, row: 7260, expected_value: Males, label: sex} + - {column: E, row: 7260, expected_value: Total, label: employment type} + - {column: J, row: 7260, expected_value: Value, label: measure} + - {column: L, row: 7261, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7262 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7262, expected_value: E12000007, label: geography} + - {column: D, row: 7262, expected_value: Males, label: sex} + - {column: E, row: 7262, expected_value: Total, label: employment type} + - {column: J, row: 7262, expected_value: Value, label: measure} + - {column: L, row: 7263, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7264 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7264, expected_value: E12000007, label: geography} + - {column: D, row: 7264, expected_value: Males, label: sex} + - {column: E, row: 7264, expected_value: Total, label: employment type} + - {column: J, row: 7264, expected_value: Value, label: measure} + - {column: L, row: 7265, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7266 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7266, expected_value: E12000007, label: geography} + - {column: D, row: 7266, expected_value: Males, label: sex} + - {column: E, row: 7266, expected_value: Total, label: employment type} + - {column: J, row: 7266, expected_value: Value, label: measure} + - {column: L, row: 7267, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7268 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7268, expected_value: E12000007, label: geography} + - {column: D, row: 7268, expected_value: Males, label: sex} + - {column: E, row: 7268, expected_value: Total, label: employment type} + - {column: J, row: 7268, expected_value: Value, label: measure} + - {column: L, row: 7269, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7270 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7270, expected_value: E12000007, label: geography} + - {column: D, row: 7270, expected_value: Males, label: sex} + - {column: E, row: 7270, expected_value: Total, label: employment type} + - {column: J, row: 7270, expected_value: Value, label: measure} + - {column: L, row: 7271, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7272 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7272, expected_value: E12000007, label: geography} + - {column: D, row: 7272, expected_value: Males, label: sex} + - {column: E, row: 7272, expected_value: Total, label: employment type} + - {column: J, row: 7272, expected_value: Value, label: measure} + - {column: L, row: 7273, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7203 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7203, expected_value: E12000007, label: geography} + - {column: D, row: 7203, expected_value: Males, label: sex} + - {column: E, row: 7203, expected_value: Total, label: employment type} + - {column: J, row: 7203, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7205 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7205, expected_value: E12000007, label: geography} + - {column: D, row: 7205, expected_value: Males, label: sex} + - {column: E, row: 7205, expected_value: Total, label: employment type} + - {column: J, row: 7205, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7207 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7207, expected_value: E12000007, label: geography} + - {column: D, row: 7207, expected_value: Males, label: sex} + - {column: E, row: 7207, expected_value: Total, label: employment type} + - {column: J, row: 7207, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7209 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7209, expected_value: E12000007, label: geography} + - {column: D, row: 7209, expected_value: Males, label: sex} + - {column: E, row: 7209, expected_value: Total, label: employment type} + - {column: J, row: 7209, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7211 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7211, expected_value: E12000007, label: geography} + - {column: D, row: 7211, expected_value: Males, label: sex} + - {column: E, row: 7211, expected_value: Total, label: employment type} + - {column: J, row: 7211, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7213 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7213, expected_value: E12000007, label: geography} + - {column: D, row: 7213, expected_value: Males, label: sex} + - {column: E, row: 7213, expected_value: Total, label: employment type} + - {column: J, row: 7213, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7215 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7215, expected_value: E12000007, label: geography} + - {column: D, row: 7215, expected_value: Males, label: sex} + - {column: E, row: 7215, expected_value: Total, label: employment type} + - {column: J, row: 7215, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7217 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7217, expected_value: E12000007, label: geography} + - {column: D, row: 7217, expected_value: Males, label: sex} + - {column: E, row: 7217, expected_value: Total, label: employment type} + - {column: J, row: 7217, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7219 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7219, expected_value: E12000007, label: geography} + - {column: D, row: 7219, expected_value: Males, label: sex} + - {column: E, row: 7219, expected_value: Total, label: employment type} + - {column: J, row: 7219, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7221 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7221, expected_value: E12000007, label: geography} + - {column: D, row: 7221, expected_value: Males, label: sex} + - {column: E, row: 7221, expected_value: Total, label: employment type} + - {column: J, row: 7221, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7223 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7223, expected_value: E12000007, label: geography} + - {column: D, row: 7223, expected_value: Males, label: sex} + - {column: E, row: 7223, expected_value: Total, label: employment type} + - {column: J, row: 7223, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7225 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7225, expected_value: E12000007, label: geography} + - {column: D, row: 7225, expected_value: Males, label: sex} + - {column: E, row: 7225, expected_value: Total, label: employment type} + - {column: J, row: 7225, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7227 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7227, expected_value: E12000007, label: geography} + - {column: D, row: 7227, expected_value: Males, label: sex} + - {column: E, row: 7227, expected_value: Total, label: employment type} + - {column: J, row: 7227, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7229 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7229, expected_value: E12000007, label: geography} + - {column: D, row: 7229, expected_value: Males, label: sex} + - {column: E, row: 7229, expected_value: Total, label: employment type} + - {column: J, row: 7229, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7231 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7231, expected_value: E12000007, label: geography} + - {column: D, row: 7231, expected_value: Males, label: sex} + - {column: E, row: 7231, expected_value: Total, label: employment type} + - {column: J, row: 7231, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7233 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7233, expected_value: E12000007, label: geography} + - {column: D, row: 7233, expected_value: Males, label: sex} + - {column: E, row: 7233, expected_value: Total, label: employment type} + - {column: J, row: 7233, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7235 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7235, expected_value: E12000007, label: geography} + - {column: D, row: 7235, expected_value: Males, label: sex} + - {column: E, row: 7235, expected_value: Total, label: employment type} + - {column: J, row: 7235, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7237 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7237, expected_value: E12000007, label: geography} + - {column: D, row: 7237, expected_value: Males, label: sex} + - {column: E, row: 7237, expected_value: Total, label: employment type} + - {column: J, row: 7237, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7239 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7239, expected_value: E12000007, label: geography} + - {column: D, row: 7239, expected_value: Males, label: sex} + - {column: E, row: 7239, expected_value: Total, label: employment type} + - {column: J, row: 7239, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7241 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7241, expected_value: E12000007, label: geography} + - {column: D, row: 7241, expected_value: Males, label: sex} + - {column: E, row: 7241, expected_value: Total, label: employment type} + - {column: J, row: 7241, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7243 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7243, expected_value: E12000007, label: geography} + - {column: D, row: 7243, expected_value: Males, label: sex} + - {column: E, row: 7243, expected_value: Total, label: employment type} + - {column: J, row: 7243, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7245 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7245, expected_value: E12000007, label: geography} + - {column: D, row: 7245, expected_value: Males, label: sex} + - {column: E, row: 7245, expected_value: Total, label: employment type} + - {column: J, row: 7245, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7247 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7247, expected_value: E12000007, label: geography} + - {column: D, row: 7247, expected_value: Males, label: sex} + - {column: E, row: 7247, expected_value: Total, label: employment type} + - {column: J, row: 7247, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7249 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7249, expected_value: E12000007, label: geography} + - {column: D, row: 7249, expected_value: Males, label: sex} + - {column: E, row: 7249, expected_value: Total, label: employment type} + - {column: J, row: 7249, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7251 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7251, expected_value: E12000007, label: geography} + - {column: D, row: 7251, expected_value: Males, label: sex} + - {column: E, row: 7251, expected_value: Total, label: employment type} + - {column: J, row: 7251, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7253 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7253, expected_value: E12000007, label: geography} + - {column: D, row: 7253, expected_value: Males, label: sex} + - {column: E, row: 7253, expected_value: Total, label: employment type} + - {column: J, row: 7253, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7257 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7257, expected_value: E12000007, label: geography} + - {column: D, row: 7257, expected_value: Males, label: sex} + - {column: E, row: 7257, expected_value: Total, label: employment type} + - {column: J, row: 7257, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7259 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7259, expected_value: E12000007, label: geography} + - {column: D, row: 7259, expected_value: Males, label: sex} + - {column: E, row: 7259, expected_value: Total, label: employment type} + - {column: J, row: 7259, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7261 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7261, expected_value: E12000007, label: geography} + - {column: D, row: 7261, expected_value: Males, label: sex} + - {column: E, row: 7261, expected_value: Total, label: employment type} + - {column: J, row: 7261, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7263 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7263, expected_value: E12000007, label: geography} + - {column: D, row: 7263, expected_value: Males, label: sex} + - {column: E, row: 7263, expected_value: Total, label: employment type} + - {column: J, row: 7263, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7265 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7265, expected_value: E12000007, label: geography} + - {column: D, row: 7265, expected_value: Males, label: sex} + - {column: E, row: 7265, expected_value: Total, label: employment type} + - {column: J, row: 7265, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7267 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7267, expected_value: E12000007, label: geography} + - {column: D, row: 7267, expected_value: Males, label: sex} + - {column: E, row: 7267, expected_value: Total, label: employment type} + - {column: J, row: 7267, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7269 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7269, expected_value: E12000007, label: geography} + - {column: D, row: 7269, expected_value: Males, label: sex} + - {column: E, row: 7269, expected_value: Total, label: employment type} + - {column: J, row: 7269, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7271 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7271, expected_value: E12000007, label: geography} + - {column: D, row: 7271, expected_value: Males, label: sex} + - {column: E, row: 7271, expected_value: Total, label: employment type} + - {column: J, row: 7271, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7273 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7273, expected_value: E12000007, label: geography} + - {column: D, row: 7273, expected_value: Males, label: sex} + - {column: E, row: 7273, expected_value: Total, label: employment type} + - {column: J, row: 7273, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7418 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7418, expected_value: E12000007, label: geography} + - {column: D, row: 7418, expected_value: Males, label: sex} + - {column: E, row: 7418, expected_value: Employee, label: employment type} + - {column: J, row: 7418, expected_value: Value, label: measure} + - {column: L, row: 7419, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7420 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7420, expected_value: E12000007, label: geography} + - {column: D, row: 7420, expected_value: Males, label: sex} + - {column: E, row: 7420, expected_value: Employee, label: employment type} + - {column: J, row: 7420, expected_value: Value, label: measure} + - {column: L, row: 7421, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7422 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7422, expected_value: E12000007, label: geography} + - {column: D, row: 7422, expected_value: Males, label: sex} + - {column: E, row: 7422, expected_value: Employee, label: employment type} + - {column: J, row: 7422, expected_value: Value, label: measure} + - {column: L, row: 7423, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7424 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7424, expected_value: E12000007, label: geography} + - {column: D, row: 7424, expected_value: Males, label: sex} + - {column: E, row: 7424, expected_value: Employee, label: employment type} + - {column: J, row: 7424, expected_value: Value, label: measure} + - {column: L, row: 7425, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7426 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7426, expected_value: E12000007, label: geography} + - {column: D, row: 7426, expected_value: Males, label: sex} + - {column: E, row: 7426, expected_value: Employee, label: employment type} + - {column: J, row: 7426, expected_value: Value, label: measure} + - {column: L, row: 7427, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7428 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7428, expected_value: E12000007, label: geography} + - {column: D, row: 7428, expected_value: Males, label: sex} + - {column: E, row: 7428, expected_value: Employee, label: employment type} + - {column: J, row: 7428, expected_value: Value, label: measure} + - {column: L, row: 7429, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7430 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7430, expected_value: E12000007, label: geography} + - {column: D, row: 7430, expected_value: Males, label: sex} + - {column: E, row: 7430, expected_value: Employee, label: employment type} + - {column: J, row: 7430, expected_value: Value, label: measure} + - {column: L, row: 7431, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7432 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7432, expected_value: E12000007, label: geography} + - {column: D, row: 7432, expected_value: Males, label: sex} + - {column: E, row: 7432, expected_value: Employee, label: employment type} + - {column: J, row: 7432, expected_value: Value, label: measure} + - {column: L, row: 7433, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7434 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7434, expected_value: E12000007, label: geography} + - {column: D, row: 7434, expected_value: Males, label: sex} + - {column: E, row: 7434, expected_value: Employee, label: employment type} + - {column: J, row: 7434, expected_value: Value, label: measure} + - {column: L, row: 7435, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7436 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7436, expected_value: E12000007, label: geography} + - {column: D, row: 7436, expected_value: Males, label: sex} + - {column: E, row: 7436, expected_value: Employee, label: employment type} + - {column: J, row: 7436, expected_value: Value, label: measure} + - {column: L, row: 7437, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7438 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7438, expected_value: E12000007, label: geography} + - {column: D, row: 7438, expected_value: Males, label: sex} + - {column: E, row: 7438, expected_value: Employee, label: employment type} + - {column: J, row: 7438, expected_value: Value, label: measure} + - {column: L, row: 7439, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7440 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7440, expected_value: E12000007, label: geography} + - {column: D, row: 7440, expected_value: Males, label: sex} + - {column: E, row: 7440, expected_value: Employee, label: employment type} + - {column: J, row: 7440, expected_value: Value, label: measure} + - {column: L, row: 7441, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7442 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7442, expected_value: E12000007, label: geography} + - {column: D, row: 7442, expected_value: Males, label: sex} + - {column: E, row: 7442, expected_value: Employee, label: employment type} + - {column: J, row: 7442, expected_value: Value, label: measure} + - {column: L, row: 7443, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7444 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7444, expected_value: E12000007, label: geography} + - {column: D, row: 7444, expected_value: Males, label: sex} + - {column: E, row: 7444, expected_value: Employee, label: employment type} + - {column: J, row: 7444, expected_value: Value, label: measure} + - {column: L, row: 7445, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7446 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7446, expected_value: E12000007, label: geography} + - {column: D, row: 7446, expected_value: Males, label: sex} + - {column: E, row: 7446, expected_value: Employee, label: employment type} + - {column: J, row: 7446, expected_value: Value, label: measure} + - {column: L, row: 7447, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7448 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7448, expected_value: E12000007, label: geography} + - {column: D, row: 7448, expected_value: Males, label: sex} + - {column: E, row: 7448, expected_value: Employee, label: employment type} + - {column: J, row: 7448, expected_value: Value, label: measure} + - {column: L, row: 7449, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7450 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7450, expected_value: E12000007, label: geography} + - {column: D, row: 7450, expected_value: Males, label: sex} + - {column: E, row: 7450, expected_value: Employee, label: employment type} + - {column: J, row: 7450, expected_value: Value, label: measure} + - {column: L, row: 7451, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7452 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7452, expected_value: E12000007, label: geography} + - {column: D, row: 7452, expected_value: Males, label: sex} + - {column: E, row: 7452, expected_value: Employee, label: employment type} + - {column: J, row: 7452, expected_value: Value, label: measure} + - {column: L, row: 7453, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7454 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7454, expected_value: E12000007, label: geography} + - {column: D, row: 7454, expected_value: Males, label: sex} + - {column: E, row: 7454, expected_value: Employee, label: employment type} + - {column: J, row: 7454, expected_value: Value, label: measure} + - {column: L, row: 7455, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7456 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7456, expected_value: E12000007, label: geography} + - {column: D, row: 7456, expected_value: Males, label: sex} + - {column: E, row: 7456, expected_value: Employee, label: employment type} + - {column: J, row: 7456, expected_value: Value, label: measure} + - {column: L, row: 7457, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7458 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7458, expected_value: E12000007, label: geography} + - {column: D, row: 7458, expected_value: Males, label: sex} + - {column: E, row: 7458, expected_value: Employee, label: employment type} + - {column: J, row: 7458, expected_value: Value, label: measure} + - {column: L, row: 7459, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7460 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7460, expected_value: E12000007, label: geography} + - {column: D, row: 7460, expected_value: Males, label: sex} + - {column: E, row: 7460, expected_value: Employee, label: employment type} + - {column: J, row: 7460, expected_value: Value, label: measure} + - {column: L, row: 7461, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7462 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7462, expected_value: E12000007, label: geography} + - {column: D, row: 7462, expected_value: Males, label: sex} + - {column: E, row: 7462, expected_value: Employee, label: employment type} + - {column: J, row: 7462, expected_value: Value, label: measure} + - {column: L, row: 7463, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7464 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7464, expected_value: E12000007, label: geography} + - {column: D, row: 7464, expected_value: Males, label: sex} + - {column: E, row: 7464, expected_value: Employee, label: employment type} + - {column: J, row: 7464, expected_value: Value, label: measure} + - {column: L, row: 7465, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7466 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7466, expected_value: E12000007, label: geography} + - {column: D, row: 7466, expected_value: Males, label: sex} + - {column: E, row: 7466, expected_value: Employee, label: employment type} + - {column: J, row: 7466, expected_value: Value, label: measure} + - {column: L, row: 7467, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7468 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7468, expected_value: E12000007, label: geography} + - {column: D, row: 7468, expected_value: Males, label: sex} + - {column: E, row: 7468, expected_value: Employee, label: employment type} + - {column: J, row: 7468, expected_value: Value, label: measure} + - {column: L, row: 7469, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7470 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7470, expected_value: E12000007, label: geography} + - {column: D, row: 7470, expected_value: Males, label: sex} + - {column: E, row: 7470, expected_value: Employee, label: employment type} + - {column: J, row: 7470, expected_value: Value, label: measure} + - {column: L, row: 7471, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7472 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7472, expected_value: E12000007, label: geography} + - {column: D, row: 7472, expected_value: Males, label: sex} + - {column: E, row: 7472, expected_value: Employee, label: employment type} + - {column: J, row: 7472, expected_value: Value, label: measure} + - {column: L, row: 7473, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7474 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7474, expected_value: E12000007, label: geography} + - {column: D, row: 7474, expected_value: Males, label: sex} + - {column: E, row: 7474, expected_value: Employee, label: employment type} + - {column: J, row: 7474, expected_value: Value, label: measure} + - {column: L, row: 7475, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7476 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7476, expected_value: E12000007, label: geography} + - {column: D, row: 7476, expected_value: Males, label: sex} + - {column: E, row: 7476, expected_value: Employee, label: employment type} + - {column: J, row: 7476, expected_value: Value, label: measure} + - {column: L, row: 7477, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7478 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7478, expected_value: E12000007, label: geography} + - {column: D, row: 7478, expected_value: Males, label: sex} + - {column: E, row: 7478, expected_value: Employee, label: employment type} + - {column: J, row: 7478, expected_value: Value, label: measure} + - {column: L, row: 7479, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7480 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7480, expected_value: E12000007, label: geography} + - {column: D, row: 7480, expected_value: Males, label: sex} + - {column: E, row: 7480, expected_value: Employee, label: employment type} + - {column: J, row: 7480, expected_value: Value, label: measure} + - {column: L, row: 7481, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7482 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7482, expected_value: E12000007, label: geography} + - {column: D, row: 7482, expected_value: Males, label: sex} + - {column: E, row: 7482, expected_value: Employee, label: employment type} + - {column: J, row: 7482, expected_value: Value, label: measure} + - {column: L, row: 7483, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7484 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7484, expected_value: E12000007, label: geography} + - {column: D, row: 7484, expected_value: Males, label: sex} + - {column: E, row: 7484, expected_value: Employee, label: employment type} + - {column: J, row: 7484, expected_value: Value, label: measure} + - {column: L, row: 7485, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7486 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7486, expected_value: E12000007, label: geography} + - {column: D, row: 7486, expected_value: Males, label: sex} + - {column: E, row: 7486, expected_value: Employee, label: employment type} + - {column: J, row: 7486, expected_value: Value, label: measure} + - {column: L, row: 7487, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7488 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7488, expected_value: E12000007, label: geography} + - {column: D, row: 7488, expected_value: Males, label: sex} + - {column: E, row: 7488, expected_value: Employee, label: employment type} + - {column: J, row: 7488, expected_value: Value, label: measure} + - {column: L, row: 7489, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7419 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7419, expected_value: E12000007, label: geography} + - {column: D, row: 7419, expected_value: Males, label: sex} + - {column: E, row: 7419, expected_value: Employee, label: employment type} + - {column: J, row: 7419, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7421 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7421, expected_value: E12000007, label: geography} + - {column: D, row: 7421, expected_value: Males, label: sex} + - {column: E, row: 7421, expected_value: Employee, label: employment type} + - {column: J, row: 7421, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7423 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7423, expected_value: E12000007, label: geography} + - {column: D, row: 7423, expected_value: Males, label: sex} + - {column: E, row: 7423, expected_value: Employee, label: employment type} + - {column: J, row: 7423, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7425 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7425, expected_value: E12000007, label: geography} + - {column: D, row: 7425, expected_value: Males, label: sex} + - {column: E, row: 7425, expected_value: Employee, label: employment type} + - {column: J, row: 7425, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7427 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7427, expected_value: E12000007, label: geography} + - {column: D, row: 7427, expected_value: Males, label: sex} + - {column: E, row: 7427, expected_value: Employee, label: employment type} + - {column: J, row: 7427, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7429 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7429, expected_value: E12000007, label: geography} + - {column: D, row: 7429, expected_value: Males, label: sex} + - {column: E, row: 7429, expected_value: Employee, label: employment type} + - {column: J, row: 7429, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7431 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7431, expected_value: E12000007, label: geography} + - {column: D, row: 7431, expected_value: Males, label: sex} + - {column: E, row: 7431, expected_value: Employee, label: employment type} + - {column: J, row: 7431, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7433 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7433, expected_value: E12000007, label: geography} + - {column: D, row: 7433, expected_value: Males, label: sex} + - {column: E, row: 7433, expected_value: Employee, label: employment type} + - {column: J, row: 7433, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7435 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7435, expected_value: E12000007, label: geography} + - {column: D, row: 7435, expected_value: Males, label: sex} + - {column: E, row: 7435, expected_value: Employee, label: employment type} + - {column: J, row: 7435, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7437 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7437, expected_value: E12000007, label: geography} + - {column: D, row: 7437, expected_value: Males, label: sex} + - {column: E, row: 7437, expected_value: Employee, label: employment type} + - {column: J, row: 7437, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7439 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7439, expected_value: E12000007, label: geography} + - {column: D, row: 7439, expected_value: Males, label: sex} + - {column: E, row: 7439, expected_value: Employee, label: employment type} + - {column: J, row: 7439, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7441 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7441, expected_value: E12000007, label: geography} + - {column: D, row: 7441, expected_value: Males, label: sex} + - {column: E, row: 7441, expected_value: Employee, label: employment type} + - {column: J, row: 7441, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7443 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7443, expected_value: E12000007, label: geography} + - {column: D, row: 7443, expected_value: Males, label: sex} + - {column: E, row: 7443, expected_value: Employee, label: employment type} + - {column: J, row: 7443, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7445 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7445, expected_value: E12000007, label: geography} + - {column: D, row: 7445, expected_value: Males, label: sex} + - {column: E, row: 7445, expected_value: Employee, label: employment type} + - {column: J, row: 7445, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7447 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7447, expected_value: E12000007, label: geography} + - {column: D, row: 7447, expected_value: Males, label: sex} + - {column: E, row: 7447, expected_value: Employee, label: employment type} + - {column: J, row: 7447, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7449 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7449, expected_value: E12000007, label: geography} + - {column: D, row: 7449, expected_value: Males, label: sex} + - {column: E, row: 7449, expected_value: Employee, label: employment type} + - {column: J, row: 7449, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7451 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7451, expected_value: E12000007, label: geography} + - {column: D, row: 7451, expected_value: Males, label: sex} + - {column: E, row: 7451, expected_value: Employee, label: employment type} + - {column: J, row: 7451, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7453 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7453, expected_value: E12000007, label: geography} + - {column: D, row: 7453, expected_value: Males, label: sex} + - {column: E, row: 7453, expected_value: Employee, label: employment type} + - {column: J, row: 7453, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7455 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7455, expected_value: E12000007, label: geography} + - {column: D, row: 7455, expected_value: Males, label: sex} + - {column: E, row: 7455, expected_value: Employee, label: employment type} + - {column: J, row: 7455, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7459 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7459, expected_value: E12000007, label: geography} + - {column: D, row: 7459, expected_value: Males, label: sex} + - {column: E, row: 7459, expected_value: Employee, label: employment type} + - {column: J, row: 7459, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7461 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7461, expected_value: E12000007, label: geography} + - {column: D, row: 7461, expected_value: Males, label: sex} + - {column: E, row: 7461, expected_value: Employee, label: employment type} + - {column: J, row: 7461, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7463 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7463, expected_value: E12000007, label: geography} + - {column: D, row: 7463, expected_value: Males, label: sex} + - {column: E, row: 7463, expected_value: Employee, label: employment type} + - {column: J, row: 7463, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7465 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7465, expected_value: E12000007, label: geography} + - {column: D, row: 7465, expected_value: Males, label: sex} + - {column: E, row: 7465, expected_value: Employee, label: employment type} + - {column: J, row: 7465, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7467 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7467, expected_value: E12000007, label: geography} + - {column: D, row: 7467, expected_value: Males, label: sex} + - {column: E, row: 7467, expected_value: Employee, label: employment type} + - {column: J, row: 7467, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7469 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7469, expected_value: E12000007, label: geography} + - {column: D, row: 7469, expected_value: Males, label: sex} + - {column: E, row: 7469, expected_value: Employee, label: employment type} + - {column: J, row: 7469, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7473 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7473, expected_value: E12000007, label: geography} + - {column: D, row: 7473, expected_value: Males, label: sex} + - {column: E, row: 7473, expected_value: Employee, label: employment type} + - {column: J, row: 7473, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7475 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7475, expected_value: E12000007, label: geography} + - {column: D, row: 7475, expected_value: Males, label: sex} + - {column: E, row: 7475, expected_value: Employee, label: employment type} + - {column: J, row: 7475, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7477 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7477, expected_value: E12000007, label: geography} + - {column: D, row: 7477, expected_value: Males, label: sex} + - {column: E, row: 7477, expected_value: Employee, label: employment type} + - {column: J, row: 7477, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7479 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7479, expected_value: E12000007, label: geography} + - {column: D, row: 7479, expected_value: Males, label: sex} + - {column: E, row: 7479, expected_value: Employee, label: employment type} + - {column: J, row: 7479, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7481 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7481, expected_value: E12000007, label: geography} + - {column: D, row: 7481, expected_value: Males, label: sex} + - {column: E, row: 7481, expected_value: Employee, label: employment type} + - {column: J, row: 7481, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7483 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7483, expected_value: E12000007, label: geography} + - {column: D, row: 7483, expected_value: Males, label: sex} + - {column: E, row: 7483, expected_value: Employee, label: employment type} + - {column: J, row: 7483, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7485 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7485, expected_value: E12000007, label: geography} + - {column: D, row: 7485, expected_value: Males, label: sex} + - {column: E, row: 7485, expected_value: Employee, label: employment type} + - {column: J, row: 7485, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7487 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7487, expected_value: E12000007, label: geography} + - {column: D, row: 7487, expected_value: Males, label: sex} + - {column: E, row: 7487, expected_value: Employee, label: employment type} + - {column: J, row: 7487, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7489 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7489, expected_value: E12000007, label: geography} + - {column: D, row: 7489, expected_value: Males, label: sex} + - {column: E, row: 7489, expected_value: Employee, label: employment type} + - {column: J, row: 7489, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7634 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7634, expected_value: E12000007, label: geography} + - {column: D, row: 7634, expected_value: Males, label: sex} + - {column: E, row: 7634, expected_value: Self-employed, label: employment type} + - {column: J, row: 7634, expected_value: Value, label: measure} + - {column: L, row: 7635, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7636 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7636, expected_value: E12000007, label: geography} + - {column: D, row: 7636, expected_value: Males, label: sex} + - {column: E, row: 7636, expected_value: Self-employed, label: employment type} + - {column: J, row: 7636, expected_value: Value, label: measure} + - {column: L, row: 7637, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7638 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7638, expected_value: E12000007, label: geography} + - {column: D, row: 7638, expected_value: Males, label: sex} + - {column: E, row: 7638, expected_value: Self-employed, label: employment type} + - {column: J, row: 7638, expected_value: Value, label: measure} + - {column: L, row: 7639, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7640 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7640, expected_value: E12000007, label: geography} + - {column: D, row: 7640, expected_value: Males, label: sex} + - {column: E, row: 7640, expected_value: Self-employed, label: employment type} + - {column: J, row: 7640, expected_value: Value, label: measure} + - {column: L, row: 7641, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7642 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7642, expected_value: E12000007, label: geography} + - {column: D, row: 7642, expected_value: Males, label: sex} + - {column: E, row: 7642, expected_value: Self-employed, label: employment type} + - {column: J, row: 7642, expected_value: Value, label: measure} + - {column: L, row: 7643, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7644 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7644, expected_value: E12000007, label: geography} + - {column: D, row: 7644, expected_value: Males, label: sex} + - {column: E, row: 7644, expected_value: Self-employed, label: employment type} + - {column: J, row: 7644, expected_value: Value, label: measure} + - {column: L, row: 7645, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7646 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7646, expected_value: E12000007, label: geography} + - {column: D, row: 7646, expected_value: Males, label: sex} + - {column: E, row: 7646, expected_value: Self-employed, label: employment type} + - {column: J, row: 7646, expected_value: Value, label: measure} + - {column: L, row: 7647, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7648 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7648, expected_value: E12000007, label: geography} + - {column: D, row: 7648, expected_value: Males, label: sex} + - {column: E, row: 7648, expected_value: Self-employed, label: employment type} + - {column: J, row: 7648, expected_value: Value, label: measure} + - {column: L, row: 7649, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7650 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7650, expected_value: E12000007, label: geography} + - {column: D, row: 7650, expected_value: Males, label: sex} + - {column: E, row: 7650, expected_value: Self-employed, label: employment type} + - {column: J, row: 7650, expected_value: Value, label: measure} + - {column: L, row: 7651, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7652 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7652, expected_value: E12000007, label: geography} + - {column: D, row: 7652, expected_value: Males, label: sex} + - {column: E, row: 7652, expected_value: Self-employed, label: employment type} + - {column: J, row: 7652, expected_value: Value, label: measure} + - {column: L, row: 7653, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7654 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7654, expected_value: E12000007, label: geography} + - {column: D, row: 7654, expected_value: Males, label: sex} + - {column: E, row: 7654, expected_value: Self-employed, label: employment type} + - {column: J, row: 7654, expected_value: Value, label: measure} + - {column: L, row: 7655, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7656 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7656, expected_value: E12000007, label: geography} + - {column: D, row: 7656, expected_value: Males, label: sex} + - {column: E, row: 7656, expected_value: Self-employed, label: employment type} + - {column: J, row: 7656, expected_value: Value, label: measure} + - {column: L, row: 7657, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7660 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7660, expected_value: E12000007, label: geography} + - {column: D, row: 7660, expected_value: Males, label: sex} + - {column: E, row: 7660, expected_value: Self-employed, label: employment type} + - {column: J, row: 7660, expected_value: Value, label: measure} + - {column: L, row: 7661, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7662 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7662, expected_value: E12000007, label: geography} + - {column: D, row: 7662, expected_value: Males, label: sex} + - {column: E, row: 7662, expected_value: Self-employed, label: employment type} + - {column: J, row: 7662, expected_value: Value, label: measure} + - {column: L, row: 7663, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7664 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7664, expected_value: E12000007, label: geography} + - {column: D, row: 7664, expected_value: Males, label: sex} + - {column: E, row: 7664, expected_value: Self-employed, label: employment type} + - {column: J, row: 7664, expected_value: Value, label: measure} + - {column: L, row: 7665, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7666 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7666, expected_value: E12000007, label: geography} + - {column: D, row: 7666, expected_value: Males, label: sex} + - {column: E, row: 7666, expected_value: Self-employed, label: employment type} + - {column: J, row: 7666, expected_value: Value, label: measure} + - {column: L, row: 7667, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7670 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7670, expected_value: E12000007, label: geography} + - {column: D, row: 7670, expected_value: Males, label: sex} + - {column: E, row: 7670, expected_value: Self-employed, label: employment type} + - {column: J, row: 7670, expected_value: Value, label: measure} + - {column: L, row: 7671, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7672 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7672, expected_value: E12000007, label: geography} + - {column: D, row: 7672, expected_value: Males, label: sex} + - {column: E, row: 7672, expected_value: Self-employed, label: employment type} + - {column: J, row: 7672, expected_value: Value, label: measure} + - {column: L, row: 7673, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7674 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7674, expected_value: E12000007, label: geography} + - {column: D, row: 7674, expected_value: Males, label: sex} + - {column: E, row: 7674, expected_value: Self-employed, label: employment type} + - {column: J, row: 7674, expected_value: Value, label: measure} + - {column: L, row: 7675, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7676 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7676, expected_value: E12000007, label: geography} + - {column: D, row: 7676, expected_value: Males, label: sex} + - {column: E, row: 7676, expected_value: Self-employed, label: employment type} + - {column: J, row: 7676, expected_value: Value, label: measure} + - {column: L, row: 7677, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7678 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7678, expected_value: E12000007, label: geography} + - {column: D, row: 7678, expected_value: Males, label: sex} + - {column: E, row: 7678, expected_value: Self-employed, label: employment type} + - {column: J, row: 7678, expected_value: Value, label: measure} + - {column: L, row: 7679, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7680 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7680, expected_value: E12000007, label: geography} + - {column: D, row: 7680, expected_value: Males, label: sex} + - {column: E, row: 7680, expected_value: Self-employed, label: employment type} + - {column: J, row: 7680, expected_value: Value, label: measure} + - {column: L, row: 7681, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7682 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7682, expected_value: E12000007, label: geography} + - {column: D, row: 7682, expected_value: Males, label: sex} + - {column: E, row: 7682, expected_value: Self-employed, label: employment type} + - {column: J, row: 7682, expected_value: Value, label: measure} + - {column: L, row: 7683, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7684 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7684, expected_value: E12000007, label: geography} + - {column: D, row: 7684, expected_value: Males, label: sex} + - {column: E, row: 7684, expected_value: Self-employed, label: employment type} + - {column: J, row: 7684, expected_value: Value, label: measure} + - {column: L, row: 7685, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7688 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7688, expected_value: E12000007, label: geography} + - {column: D, row: 7688, expected_value: Males, label: sex} + - {column: E, row: 7688, expected_value: Self-employed, label: employment type} + - {column: J, row: 7688, expected_value: Value, label: measure} + - {column: L, row: 7689, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7690 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7690, expected_value: E12000007, label: geography} + - {column: D, row: 7690, expected_value: Males, label: sex} + - {column: E, row: 7690, expected_value: Self-employed, label: employment type} + - {column: J, row: 7690, expected_value: Value, label: measure} + - {column: L, row: 7691, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7692 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7692, expected_value: E12000007, label: geography} + - {column: D, row: 7692, expected_value: Males, label: sex} + - {column: E, row: 7692, expected_value: Self-employed, label: employment type} + - {column: J, row: 7692, expected_value: Value, label: measure} + - {column: L, row: 7693, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7694 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7694, expected_value: E12000007, label: geography} + - {column: D, row: 7694, expected_value: Males, label: sex} + - {column: E, row: 7694, expected_value: Self-employed, label: employment type} + - {column: J, row: 7694, expected_value: Value, label: measure} + - {column: L, row: 7695, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7696 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7696, expected_value: E12000007, label: geography} + - {column: D, row: 7696, expected_value: Males, label: sex} + - {column: E, row: 7696, expected_value: Self-employed, label: employment type} + - {column: J, row: 7696, expected_value: Value, label: measure} + - {column: L, row: 7697, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7698 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7698, expected_value: E12000007, label: geography} + - {column: D, row: 7698, expected_value: Males, label: sex} + - {column: E, row: 7698, expected_value: Self-employed, label: employment type} + - {column: J, row: 7698, expected_value: Value, label: measure} + - {column: L, row: 7699, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7700 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7700, expected_value: E12000007, label: geography} + - {column: D, row: 7700, expected_value: Males, label: sex} + - {column: E, row: 7700, expected_value: Self-employed, label: employment type} + - {column: J, row: 7700, expected_value: Value, label: measure} + - {column: L, row: 7701, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7702 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7702, expected_value: E12000007, label: geography} + - {column: D, row: 7702, expected_value: Males, label: sex} + - {column: E, row: 7702, expected_value: Self-employed, label: employment type} + - {column: J, row: 7702, expected_value: Value, label: measure} + - {column: L, row: 7703, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7704 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7704, expected_value: E12000007, label: geography} + - {column: D, row: 7704, expected_value: Males, label: sex} + - {column: E, row: 7704, expected_value: Self-employed, label: employment type} + - {column: J, row: 7704, expected_value: Value, label: measure} + - {column: L, row: 7705, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7635 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7635, expected_value: E12000007, label: geography} + - {column: D, row: 7635, expected_value: Males, label: sex} + - {column: E, row: 7635, expected_value: Self-employed, label: employment type} + - {column: J, row: 7635, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7637 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7637, expected_value: E12000007, label: geography} + - {column: D, row: 7637, expected_value: Males, label: sex} + - {column: E, row: 7637, expected_value: Self-employed, label: employment type} + - {column: J, row: 7637, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7639 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7639, expected_value: E12000007, label: geography} + - {column: D, row: 7639, expected_value: Males, label: sex} + - {column: E, row: 7639, expected_value: Self-employed, label: employment type} + - {column: J, row: 7639, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7641 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7641, expected_value: E12000007, label: geography} + - {column: D, row: 7641, expected_value: Males, label: sex} + - {column: E, row: 7641, expected_value: Self-employed, label: employment type} + - {column: J, row: 7641, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7643 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7643, expected_value: E12000007, label: geography} + - {column: D, row: 7643, expected_value: Males, label: sex} + - {column: E, row: 7643, expected_value: Self-employed, label: employment type} + - {column: J, row: 7643, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7645 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7645, expected_value: E12000007, label: geography} + - {column: D, row: 7645, expected_value: Males, label: sex} + - {column: E, row: 7645, expected_value: Self-employed, label: employment type} + - {column: J, row: 7645, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7647 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7647, expected_value: E12000007, label: geography} + - {column: D, row: 7647, expected_value: Males, label: sex} + - {column: E, row: 7647, expected_value: Self-employed, label: employment type} + - {column: J, row: 7647, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7649 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7649, expected_value: E12000007, label: geography} + - {column: D, row: 7649, expected_value: Males, label: sex} + - {column: E, row: 7649, expected_value: Self-employed, label: employment type} + - {column: J, row: 7649, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7651 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7651, expected_value: E12000007, label: geography} + - {column: D, row: 7651, expected_value: Males, label: sex} + - {column: E, row: 7651, expected_value: Self-employed, label: employment type} + - {column: J, row: 7651, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7653 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7653, expected_value: E12000007, label: geography} + - {column: D, row: 7653, expected_value: Males, label: sex} + - {column: E, row: 7653, expected_value: Self-employed, label: employment type} + - {column: J, row: 7653, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7661 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7661, expected_value: E12000007, label: geography} + - {column: D, row: 7661, expected_value: Males, label: sex} + - {column: E, row: 7661, expected_value: Self-employed, label: employment type} + - {column: J, row: 7661, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7663 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7663, expected_value: E12000007, label: geography} + - {column: D, row: 7663, expected_value: Males, label: sex} + - {column: E, row: 7663, expected_value: Self-employed, label: employment type} + - {column: J, row: 7663, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7665 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7665, expected_value: E12000007, label: geography} + - {column: D, row: 7665, expected_value: Males, label: sex} + - {column: E, row: 7665, expected_value: Self-employed, label: employment type} + - {column: J, row: 7665, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7667 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7667, expected_value: E12000007, label: geography} + - {column: D, row: 7667, expected_value: Males, label: sex} + - {column: E, row: 7667, expected_value: Self-employed, label: employment type} + - {column: J, row: 7667, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7671 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7671, expected_value: E12000007, label: geography} + - {column: D, row: 7671, expected_value: Males, label: sex} + - {column: E, row: 7671, expected_value: Self-employed, label: employment type} + - {column: J, row: 7671, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7675 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7675, expected_value: E12000007, label: geography} + - {column: D, row: 7675, expected_value: Males, label: sex} + - {column: E, row: 7675, expected_value: Self-employed, label: employment type} + - {column: J, row: 7675, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7677 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7677, expected_value: E12000007, label: geography} + - {column: D, row: 7677, expected_value: Males, label: sex} + - {column: E, row: 7677, expected_value: Self-employed, label: employment type} + - {column: J, row: 7677, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7679 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7679, expected_value: E12000007, label: geography} + - {column: D, row: 7679, expected_value: Males, label: sex} + - {column: E, row: 7679, expected_value: Self-employed, label: employment type} + - {column: J, row: 7679, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7681 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7681, expected_value: E12000007, label: geography} + - {column: D, row: 7681, expected_value: Males, label: sex} + - {column: E, row: 7681, expected_value: Self-employed, label: employment type} + - {column: J, row: 7681, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7689 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7689, expected_value: E12000007, label: geography} + - {column: D, row: 7689, expected_value: Males, label: sex} + - {column: E, row: 7689, expected_value: Self-employed, label: employment type} + - {column: J, row: 7689, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7691 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7691, expected_value: E12000007, label: geography} + - {column: D, row: 7691, expected_value: Males, label: sex} + - {column: E, row: 7691, expected_value: Self-employed, label: employment type} + - {column: J, row: 7691, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7695 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7695, expected_value: E12000007, label: geography} + - {column: D, row: 7695, expected_value: Males, label: sex} + - {column: E, row: 7695, expected_value: Self-employed, label: employment type} + - {column: J, row: 7695, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7699 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7699, expected_value: E12000007, label: geography} + - {column: D, row: 7699, expected_value: Males, label: sex} + - {column: E, row: 7699, expected_value: Self-employed, label: employment type} + - {column: J, row: 7699, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7701 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7701, expected_value: E12000007, label: geography} + - {column: D, row: 7701, expected_value: Males, label: sex} + - {column: E, row: 7701, expected_value: Self-employed, label: employment type} + - {column: J, row: 7701, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7705 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7705, expected_value: E12000007, label: geography} + - {column: D, row: 7705, expected_value: Males, label: sex} + - {column: E, row: 7705, expected_value: Self-employed, label: employment type} + - {column: J, row: 7705, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7274 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7274, expected_value: E12000007, label: geography} + - {column: D, row: 7274, expected_value: Females, label: sex} + - {column: E, row: 7274, expected_value: Total, label: employment type} + - {column: J, row: 7274, expected_value: Value, label: measure} + - {column: L, row: 7275, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7276 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7276, expected_value: E12000007, label: geography} + - {column: D, row: 7276, expected_value: Females, label: sex} + - {column: E, row: 7276, expected_value: Total, label: employment type} + - {column: J, row: 7276, expected_value: Value, label: measure} + - {column: L, row: 7277, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7278 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7278, expected_value: E12000007, label: geography} + - {column: D, row: 7278, expected_value: Females, label: sex} + - {column: E, row: 7278, expected_value: Total, label: employment type} + - {column: J, row: 7278, expected_value: Value, label: measure} + - {column: L, row: 7279, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7280 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7280, expected_value: E12000007, label: geography} + - {column: D, row: 7280, expected_value: Females, label: sex} + - {column: E, row: 7280, expected_value: Total, label: employment type} + - {column: J, row: 7280, expected_value: Value, label: measure} + - {column: L, row: 7281, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7282 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7282, expected_value: E12000007, label: geography} + - {column: D, row: 7282, expected_value: Females, label: sex} + - {column: E, row: 7282, expected_value: Total, label: employment type} + - {column: J, row: 7282, expected_value: Value, label: measure} + - {column: L, row: 7283, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7284 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7284, expected_value: E12000007, label: geography} + - {column: D, row: 7284, expected_value: Females, label: sex} + - {column: E, row: 7284, expected_value: Total, label: employment type} + - {column: J, row: 7284, expected_value: Value, label: measure} + - {column: L, row: 7285, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7286 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7286, expected_value: E12000007, label: geography} + - {column: D, row: 7286, expected_value: Females, label: sex} + - {column: E, row: 7286, expected_value: Total, label: employment type} + - {column: J, row: 7286, expected_value: Value, label: measure} + - {column: L, row: 7287, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7288 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7288, expected_value: E12000007, label: geography} + - {column: D, row: 7288, expected_value: Females, label: sex} + - {column: E, row: 7288, expected_value: Total, label: employment type} + - {column: J, row: 7288, expected_value: Value, label: measure} + - {column: L, row: 7289, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7290 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7290, expected_value: E12000007, label: geography} + - {column: D, row: 7290, expected_value: Females, label: sex} + - {column: E, row: 7290, expected_value: Total, label: employment type} + - {column: J, row: 7290, expected_value: Value, label: measure} + - {column: L, row: 7291, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7292 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7292, expected_value: E12000007, label: geography} + - {column: D, row: 7292, expected_value: Females, label: sex} + - {column: E, row: 7292, expected_value: Total, label: employment type} + - {column: J, row: 7292, expected_value: Value, label: measure} + - {column: L, row: 7293, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7294 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7294, expected_value: E12000007, label: geography} + - {column: D, row: 7294, expected_value: Females, label: sex} + - {column: E, row: 7294, expected_value: Total, label: employment type} + - {column: J, row: 7294, expected_value: Value, label: measure} + - {column: L, row: 7295, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7296 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7296, expected_value: E12000007, label: geography} + - {column: D, row: 7296, expected_value: Females, label: sex} + - {column: E, row: 7296, expected_value: Total, label: employment type} + - {column: J, row: 7296, expected_value: Value, label: measure} + - {column: L, row: 7297, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7298 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7298, expected_value: E12000007, label: geography} + - {column: D, row: 7298, expected_value: Females, label: sex} + - {column: E, row: 7298, expected_value: Total, label: employment type} + - {column: J, row: 7298, expected_value: Value, label: measure} + - {column: L, row: 7299, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7300 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7300, expected_value: E12000007, label: geography} + - {column: D, row: 7300, expected_value: Females, label: sex} + - {column: E, row: 7300, expected_value: Total, label: employment type} + - {column: J, row: 7300, expected_value: Value, label: measure} + - {column: L, row: 7301, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7302 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7302, expected_value: E12000007, label: geography} + - {column: D, row: 7302, expected_value: Females, label: sex} + - {column: E, row: 7302, expected_value: Total, label: employment type} + - {column: J, row: 7302, expected_value: Value, label: measure} + - {column: L, row: 7303, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7304 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7304, expected_value: E12000007, label: geography} + - {column: D, row: 7304, expected_value: Females, label: sex} + - {column: E, row: 7304, expected_value: Total, label: employment type} + - {column: J, row: 7304, expected_value: Value, label: measure} + - {column: L, row: 7305, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7306 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7306, expected_value: E12000007, label: geography} + - {column: D, row: 7306, expected_value: Females, label: sex} + - {column: E, row: 7306, expected_value: Total, label: employment type} + - {column: J, row: 7306, expected_value: Value, label: measure} + - {column: L, row: 7307, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7308 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7308, expected_value: E12000007, label: geography} + - {column: D, row: 7308, expected_value: Females, label: sex} + - {column: E, row: 7308, expected_value: Total, label: employment type} + - {column: J, row: 7308, expected_value: Value, label: measure} + - {column: L, row: 7309, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7310 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7310, expected_value: E12000007, label: geography} + - {column: D, row: 7310, expected_value: Females, label: sex} + - {column: E, row: 7310, expected_value: Total, label: employment type} + - {column: J, row: 7310, expected_value: Value, label: measure} + - {column: L, row: 7311, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7312 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7312, expected_value: E12000007, label: geography} + - {column: D, row: 7312, expected_value: Females, label: sex} + - {column: E, row: 7312, expected_value: Total, label: employment type} + - {column: J, row: 7312, expected_value: Value, label: measure} + - {column: L, row: 7313, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7314 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7314, expected_value: E12000007, label: geography} + - {column: D, row: 7314, expected_value: Females, label: sex} + - {column: E, row: 7314, expected_value: Total, label: employment type} + - {column: J, row: 7314, expected_value: Value, label: measure} + - {column: L, row: 7315, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7316 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7316, expected_value: E12000007, label: geography} + - {column: D, row: 7316, expected_value: Females, label: sex} + - {column: E, row: 7316, expected_value: Total, label: employment type} + - {column: J, row: 7316, expected_value: Value, label: measure} + - {column: L, row: 7317, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7318 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7318, expected_value: E12000007, label: geography} + - {column: D, row: 7318, expected_value: Females, label: sex} + - {column: E, row: 7318, expected_value: Total, label: employment type} + - {column: J, row: 7318, expected_value: Value, label: measure} + - {column: L, row: 7319, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7320 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7320, expected_value: E12000007, label: geography} + - {column: D, row: 7320, expected_value: Females, label: sex} + - {column: E, row: 7320, expected_value: Total, label: employment type} + - {column: J, row: 7320, expected_value: Value, label: measure} + - {column: L, row: 7321, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7322 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7322, expected_value: E12000007, label: geography} + - {column: D, row: 7322, expected_value: Females, label: sex} + - {column: E, row: 7322, expected_value: Total, label: employment type} + - {column: J, row: 7322, expected_value: Value, label: measure} + - {column: L, row: 7323, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7324 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7324, expected_value: E12000007, label: geography} + - {column: D, row: 7324, expected_value: Females, label: sex} + - {column: E, row: 7324, expected_value: Total, label: employment type} + - {column: J, row: 7324, expected_value: Value, label: measure} + - {column: L, row: 7325, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7328 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7328, expected_value: E12000007, label: geography} + - {column: D, row: 7328, expected_value: Females, label: sex} + - {column: E, row: 7328, expected_value: Total, label: employment type} + - {column: J, row: 7328, expected_value: Value, label: measure} + - {column: L, row: 7329, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7330 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7330, expected_value: E12000007, label: geography} + - {column: D, row: 7330, expected_value: Females, label: sex} + - {column: E, row: 7330, expected_value: Total, label: employment type} + - {column: J, row: 7330, expected_value: Value, label: measure} + - {column: L, row: 7331, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7332 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7332, expected_value: E12000007, label: geography} + - {column: D, row: 7332, expected_value: Females, label: sex} + - {column: E, row: 7332, expected_value: Total, label: employment type} + - {column: J, row: 7332, expected_value: Value, label: measure} + - {column: L, row: 7333, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7334 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7334, expected_value: E12000007, label: geography} + - {column: D, row: 7334, expected_value: Females, label: sex} + - {column: E, row: 7334, expected_value: Total, label: employment type} + - {column: J, row: 7334, expected_value: Value, label: measure} + - {column: L, row: 7335, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7336 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7336, expected_value: E12000007, label: geography} + - {column: D, row: 7336, expected_value: Females, label: sex} + - {column: E, row: 7336, expected_value: Total, label: employment type} + - {column: J, row: 7336, expected_value: Value, label: measure} + - {column: L, row: 7337, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7338 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7338, expected_value: E12000007, label: geography} + - {column: D, row: 7338, expected_value: Females, label: sex} + - {column: E, row: 7338, expected_value: Total, label: employment type} + - {column: J, row: 7338, expected_value: Value, label: measure} + - {column: L, row: 7339, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7340 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7340, expected_value: E12000007, label: geography} + - {column: D, row: 7340, expected_value: Females, label: sex} + - {column: E, row: 7340, expected_value: Total, label: employment type} + - {column: J, row: 7340, expected_value: Value, label: measure} + - {column: L, row: 7341, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7344 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7344, expected_value: E12000007, label: geography} + - {column: D, row: 7344, expected_value: Females, label: sex} + - {column: E, row: 7344, expected_value: Total, label: employment type} + - {column: J, row: 7344, expected_value: Value, label: measure} + - {column: L, row: 7345, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7275 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7275, expected_value: E12000007, label: geography} + - {column: D, row: 7275, expected_value: Females, label: sex} + - {column: E, row: 7275, expected_value: Total, label: employment type} + - {column: J, row: 7275, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7277 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7277, expected_value: E12000007, label: geography} + - {column: D, row: 7277, expected_value: Females, label: sex} + - {column: E, row: 7277, expected_value: Total, label: employment type} + - {column: J, row: 7277, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7279 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7279, expected_value: E12000007, label: geography} + - {column: D, row: 7279, expected_value: Females, label: sex} + - {column: E, row: 7279, expected_value: Total, label: employment type} + - {column: J, row: 7279, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7281 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7281, expected_value: E12000007, label: geography} + - {column: D, row: 7281, expected_value: Females, label: sex} + - {column: E, row: 7281, expected_value: Total, label: employment type} + - {column: J, row: 7281, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7283 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7283, expected_value: E12000007, label: geography} + - {column: D, row: 7283, expected_value: Females, label: sex} + - {column: E, row: 7283, expected_value: Total, label: employment type} + - {column: J, row: 7283, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7285 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7285, expected_value: E12000007, label: geography} + - {column: D, row: 7285, expected_value: Females, label: sex} + - {column: E, row: 7285, expected_value: Total, label: employment type} + - {column: J, row: 7285, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7287 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7287, expected_value: E12000007, label: geography} + - {column: D, row: 7287, expected_value: Females, label: sex} + - {column: E, row: 7287, expected_value: Total, label: employment type} + - {column: J, row: 7287, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7289 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7289, expected_value: E12000007, label: geography} + - {column: D, row: 7289, expected_value: Females, label: sex} + - {column: E, row: 7289, expected_value: Total, label: employment type} + - {column: J, row: 7289, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7291 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7291, expected_value: E12000007, label: geography} + - {column: D, row: 7291, expected_value: Females, label: sex} + - {column: E, row: 7291, expected_value: Total, label: employment type} + - {column: J, row: 7291, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7293 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7293, expected_value: E12000007, label: geography} + - {column: D, row: 7293, expected_value: Females, label: sex} + - {column: E, row: 7293, expected_value: Total, label: employment type} + - {column: J, row: 7293, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7295 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7295, expected_value: E12000007, label: geography} + - {column: D, row: 7295, expected_value: Females, label: sex} + - {column: E, row: 7295, expected_value: Total, label: employment type} + - {column: J, row: 7295, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7297 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7297, expected_value: E12000007, label: geography} + - {column: D, row: 7297, expected_value: Females, label: sex} + - {column: E, row: 7297, expected_value: Total, label: employment type} + - {column: J, row: 7297, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7299 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7299, expected_value: E12000007, label: geography} + - {column: D, row: 7299, expected_value: Females, label: sex} + - {column: E, row: 7299, expected_value: Total, label: employment type} + - {column: J, row: 7299, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7301 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7301, expected_value: E12000007, label: geography} + - {column: D, row: 7301, expected_value: Females, label: sex} + - {column: E, row: 7301, expected_value: Total, label: employment type} + - {column: J, row: 7301, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7303 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7303, expected_value: E12000007, label: geography} + - {column: D, row: 7303, expected_value: Females, label: sex} + - {column: E, row: 7303, expected_value: Total, label: employment type} + - {column: J, row: 7303, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7305 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7305, expected_value: E12000007, label: geography} + - {column: D, row: 7305, expected_value: Females, label: sex} + - {column: E, row: 7305, expected_value: Total, label: employment type} + - {column: J, row: 7305, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7307 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7307, expected_value: E12000007, label: geography} + - {column: D, row: 7307, expected_value: Females, label: sex} + - {column: E, row: 7307, expected_value: Total, label: employment type} + - {column: J, row: 7307, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7309 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7309, expected_value: E12000007, label: geography} + - {column: D, row: 7309, expected_value: Females, label: sex} + - {column: E, row: 7309, expected_value: Total, label: employment type} + - {column: J, row: 7309, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7311 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7311, expected_value: E12000007, label: geography} + - {column: D, row: 7311, expected_value: Females, label: sex} + - {column: E, row: 7311, expected_value: Total, label: employment type} + - {column: J, row: 7311, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7319 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7319, expected_value: E12000007, label: geography} + - {column: D, row: 7319, expected_value: Females, label: sex} + - {column: E, row: 7319, expected_value: Total, label: employment type} + - {column: J, row: 7319, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7321 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7321, expected_value: E12000007, label: geography} + - {column: D, row: 7321, expected_value: Females, label: sex} + - {column: E, row: 7321, expected_value: Total, label: employment type} + - {column: J, row: 7321, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7323 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7323, expected_value: E12000007, label: geography} + - {column: D, row: 7323, expected_value: Females, label: sex} + - {column: E, row: 7323, expected_value: Total, label: employment type} + - {column: J, row: 7323, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7325 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7325, expected_value: E12000007, label: geography} + - {column: D, row: 7325, expected_value: Females, label: sex} + - {column: E, row: 7325, expected_value: Total, label: employment type} + - {column: J, row: 7325, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7329 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7329, expected_value: E12000007, label: geography} + - {column: D, row: 7329, expected_value: Females, label: sex} + - {column: E, row: 7329, expected_value: Total, label: employment type} + - {column: J, row: 7329, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7331 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7331, expected_value: E12000007, label: geography} + - {column: D, row: 7331, expected_value: Females, label: sex} + - {column: E, row: 7331, expected_value: Total, label: employment type} + - {column: J, row: 7331, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7333 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7333, expected_value: E12000007, label: geography} + - {column: D, row: 7333, expected_value: Females, label: sex} + - {column: E, row: 7333, expected_value: Total, label: employment type} + - {column: J, row: 7333, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7335 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7335, expected_value: E12000007, label: geography} + - {column: D, row: 7335, expected_value: Females, label: sex} + - {column: E, row: 7335, expected_value: Total, label: employment type} + - {column: J, row: 7335, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7337 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7337, expected_value: E12000007, label: geography} + - {column: D, row: 7337, expected_value: Females, label: sex} + - {column: E, row: 7337, expected_value: Total, label: employment type} + - {column: J, row: 7337, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7339 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7339, expected_value: E12000007, label: geography} + - {column: D, row: 7339, expected_value: Females, label: sex} + - {column: E, row: 7339, expected_value: Total, label: employment type} + - {column: J, row: 7339, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7341 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7341, expected_value: E12000007, label: geography} + - {column: D, row: 7341, expected_value: Females, label: sex} + - {column: E, row: 7341, expected_value: Total, label: employment type} + - {column: J, row: 7341, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7345 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7345, expected_value: E12000007, label: geography} + - {column: D, row: 7345, expected_value: Females, label: sex} + - {column: E, row: 7345, expected_value: Total, label: employment type} + - {column: J, row: 7345, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7490 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7490, expected_value: E12000007, label: geography} + - {column: D, row: 7490, expected_value: Females, label: sex} + - {column: E, row: 7490, expected_value: Employee, label: employment type} + - {column: J, row: 7490, expected_value: Value, label: measure} + - {column: L, row: 7491, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7492 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7492, expected_value: E12000007, label: geography} + - {column: D, row: 7492, expected_value: Females, label: sex} + - {column: E, row: 7492, expected_value: Employee, label: employment type} + - {column: J, row: 7492, expected_value: Value, label: measure} + - {column: L, row: 7493, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7494 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7494, expected_value: E12000007, label: geography} + - {column: D, row: 7494, expected_value: Females, label: sex} + - {column: E, row: 7494, expected_value: Employee, label: employment type} + - {column: J, row: 7494, expected_value: Value, label: measure} + - {column: L, row: 7495, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7496 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7496, expected_value: E12000007, label: geography} + - {column: D, row: 7496, expected_value: Females, label: sex} + - {column: E, row: 7496, expected_value: Employee, label: employment type} + - {column: J, row: 7496, expected_value: Value, label: measure} + - {column: L, row: 7497, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7498 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7498, expected_value: E12000007, label: geography} + - {column: D, row: 7498, expected_value: Females, label: sex} + - {column: E, row: 7498, expected_value: Employee, label: employment type} + - {column: J, row: 7498, expected_value: Value, label: measure} + - {column: L, row: 7499, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7500 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7500, expected_value: E12000007, label: geography} + - {column: D, row: 7500, expected_value: Females, label: sex} + - {column: E, row: 7500, expected_value: Employee, label: employment type} + - {column: J, row: 7500, expected_value: Value, label: measure} + - {column: L, row: 7501, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7502 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7502, expected_value: E12000007, label: geography} + - {column: D, row: 7502, expected_value: Females, label: sex} + - {column: E, row: 7502, expected_value: Employee, label: employment type} + - {column: J, row: 7502, expected_value: Value, label: measure} + - {column: L, row: 7503, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7504 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7504, expected_value: E12000007, label: geography} + - {column: D, row: 7504, expected_value: Females, label: sex} + - {column: E, row: 7504, expected_value: Employee, label: employment type} + - {column: J, row: 7504, expected_value: Value, label: measure} + - {column: L, row: 7505, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7506 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7506, expected_value: E12000007, label: geography} + - {column: D, row: 7506, expected_value: Females, label: sex} + - {column: E, row: 7506, expected_value: Employee, label: employment type} + - {column: J, row: 7506, expected_value: Value, label: measure} + - {column: L, row: 7507, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7508 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7508, expected_value: E12000007, label: geography} + - {column: D, row: 7508, expected_value: Females, label: sex} + - {column: E, row: 7508, expected_value: Employee, label: employment type} + - {column: J, row: 7508, expected_value: Value, label: measure} + - {column: L, row: 7509, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7510 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7510, expected_value: E12000007, label: geography} + - {column: D, row: 7510, expected_value: Females, label: sex} + - {column: E, row: 7510, expected_value: Employee, label: employment type} + - {column: J, row: 7510, expected_value: Value, label: measure} + - {column: L, row: 7511, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7512 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7512, expected_value: E12000007, label: geography} + - {column: D, row: 7512, expected_value: Females, label: sex} + - {column: E, row: 7512, expected_value: Employee, label: employment type} + - {column: J, row: 7512, expected_value: Value, label: measure} + - {column: L, row: 7513, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7514 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7514, expected_value: E12000007, label: geography} + - {column: D, row: 7514, expected_value: Females, label: sex} + - {column: E, row: 7514, expected_value: Employee, label: employment type} + - {column: J, row: 7514, expected_value: Value, label: measure} + - {column: L, row: 7515, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7516 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7516, expected_value: E12000007, label: geography} + - {column: D, row: 7516, expected_value: Females, label: sex} + - {column: E, row: 7516, expected_value: Employee, label: employment type} + - {column: J, row: 7516, expected_value: Value, label: measure} + - {column: L, row: 7517, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7518 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7518, expected_value: E12000007, label: geography} + - {column: D, row: 7518, expected_value: Females, label: sex} + - {column: E, row: 7518, expected_value: Employee, label: employment type} + - {column: J, row: 7518, expected_value: Value, label: measure} + - {column: L, row: 7519, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7520 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7520, expected_value: E12000007, label: geography} + - {column: D, row: 7520, expected_value: Females, label: sex} + - {column: E, row: 7520, expected_value: Employee, label: employment type} + - {column: J, row: 7520, expected_value: Value, label: measure} + - {column: L, row: 7521, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7522 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7522, expected_value: E12000007, label: geography} + - {column: D, row: 7522, expected_value: Females, label: sex} + - {column: E, row: 7522, expected_value: Employee, label: employment type} + - {column: J, row: 7522, expected_value: Value, label: measure} + - {column: L, row: 7523, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7524 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7524, expected_value: E12000007, label: geography} + - {column: D, row: 7524, expected_value: Females, label: sex} + - {column: E, row: 7524, expected_value: Employee, label: employment type} + - {column: J, row: 7524, expected_value: Value, label: measure} + - {column: L, row: 7525, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7526 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7526, expected_value: E12000007, label: geography} + - {column: D, row: 7526, expected_value: Females, label: sex} + - {column: E, row: 7526, expected_value: Employee, label: employment type} + - {column: J, row: 7526, expected_value: Value, label: measure} + - {column: L, row: 7527, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7528 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7528, expected_value: E12000007, label: geography} + - {column: D, row: 7528, expected_value: Females, label: sex} + - {column: E, row: 7528, expected_value: Employee, label: employment type} + - {column: J, row: 7528, expected_value: Value, label: measure} + - {column: L, row: 7529, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7530 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7530, expected_value: E12000007, label: geography} + - {column: D, row: 7530, expected_value: Females, label: sex} + - {column: E, row: 7530, expected_value: Employee, label: employment type} + - {column: J, row: 7530, expected_value: Value, label: measure} + - {column: L, row: 7531, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7534 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7534, expected_value: E12000007, label: geography} + - {column: D, row: 7534, expected_value: Females, label: sex} + - {column: E, row: 7534, expected_value: Employee, label: employment type} + - {column: J, row: 7534, expected_value: Value, label: measure} + - {column: L, row: 7535, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7536 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7536, expected_value: E12000007, label: geography} + - {column: D, row: 7536, expected_value: Females, label: sex} + - {column: E, row: 7536, expected_value: Employee, label: employment type} + - {column: J, row: 7536, expected_value: Value, label: measure} + - {column: L, row: 7537, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7538 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7538, expected_value: E12000007, label: geography} + - {column: D, row: 7538, expected_value: Females, label: sex} + - {column: E, row: 7538, expected_value: Employee, label: employment type} + - {column: J, row: 7538, expected_value: Value, label: measure} + - {column: L, row: 7539, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7540 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7540, expected_value: E12000007, label: geography} + - {column: D, row: 7540, expected_value: Females, label: sex} + - {column: E, row: 7540, expected_value: Employee, label: employment type} + - {column: J, row: 7540, expected_value: Value, label: measure} + - {column: L, row: 7541, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7544 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7544, expected_value: E12000007, label: geography} + - {column: D, row: 7544, expected_value: Females, label: sex} + - {column: E, row: 7544, expected_value: Employee, label: employment type} + - {column: J, row: 7544, expected_value: Value, label: measure} + - {column: L, row: 7545, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7546 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7546, expected_value: E12000007, label: geography} + - {column: D, row: 7546, expected_value: Females, label: sex} + - {column: E, row: 7546, expected_value: Employee, label: employment type} + - {column: J, row: 7546, expected_value: Value, label: measure} + - {column: L, row: 7547, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7548 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7548, expected_value: E12000007, label: geography} + - {column: D, row: 7548, expected_value: Females, label: sex} + - {column: E, row: 7548, expected_value: Employee, label: employment type} + - {column: J, row: 7548, expected_value: Value, label: measure} + - {column: L, row: 7549, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7550 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7550, expected_value: E12000007, label: geography} + - {column: D, row: 7550, expected_value: Females, label: sex} + - {column: E, row: 7550, expected_value: Employee, label: employment type} + - {column: J, row: 7550, expected_value: Value, label: measure} + - {column: L, row: 7551, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7552 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7552, expected_value: E12000007, label: geography} + - {column: D, row: 7552, expected_value: Females, label: sex} + - {column: E, row: 7552, expected_value: Employee, label: employment type} + - {column: J, row: 7552, expected_value: Value, label: measure} + - {column: L, row: 7553, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7554 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7554, expected_value: E12000007, label: geography} + - {column: D, row: 7554, expected_value: Females, label: sex} + - {column: E, row: 7554, expected_value: Employee, label: employment type} + - {column: J, row: 7554, expected_value: Value, label: measure} + - {column: L, row: 7555, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7556 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7556, expected_value: E12000007, label: geography} + - {column: D, row: 7556, expected_value: Females, label: sex} + - {column: E, row: 7556, expected_value: Employee, label: employment type} + - {column: J, row: 7556, expected_value: Value, label: measure} + - {column: L, row: 7557, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7560 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7560, expected_value: E12000007, label: geography} + - {column: D, row: 7560, expected_value: Females, label: sex} + - {column: E, row: 7560, expected_value: Employee, label: employment type} + - {column: J, row: 7560, expected_value: Value, label: measure} + - {column: L, row: 7561, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7491 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7491, expected_value: E12000007, label: geography} + - {column: D, row: 7491, expected_value: Females, label: sex} + - {column: E, row: 7491, expected_value: Employee, label: employment type} + - {column: J, row: 7491, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7493 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7493, expected_value: E12000007, label: geography} + - {column: D, row: 7493, expected_value: Females, label: sex} + - {column: E, row: 7493, expected_value: Employee, label: employment type} + - {column: J, row: 7493, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7495 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7495, expected_value: E12000007, label: geography} + - {column: D, row: 7495, expected_value: Females, label: sex} + - {column: E, row: 7495, expected_value: Employee, label: employment type} + - {column: J, row: 7495, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7497 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7497, expected_value: E12000007, label: geography} + - {column: D, row: 7497, expected_value: Females, label: sex} + - {column: E, row: 7497, expected_value: Employee, label: employment type} + - {column: J, row: 7497, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7499 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7499, expected_value: E12000007, label: geography} + - {column: D, row: 7499, expected_value: Females, label: sex} + - {column: E, row: 7499, expected_value: Employee, label: employment type} + - {column: J, row: 7499, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7501 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7501, expected_value: E12000007, label: geography} + - {column: D, row: 7501, expected_value: Females, label: sex} + - {column: E, row: 7501, expected_value: Employee, label: employment type} + - {column: J, row: 7501, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7503 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7503, expected_value: E12000007, label: geography} + - {column: D, row: 7503, expected_value: Females, label: sex} + - {column: E, row: 7503, expected_value: Employee, label: employment type} + - {column: J, row: 7503, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7505 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7505, expected_value: E12000007, label: geography} + - {column: D, row: 7505, expected_value: Females, label: sex} + - {column: E, row: 7505, expected_value: Employee, label: employment type} + - {column: J, row: 7505, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7507 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7507, expected_value: E12000007, label: geography} + - {column: D, row: 7507, expected_value: Females, label: sex} + - {column: E, row: 7507, expected_value: Employee, label: employment type} + - {column: J, row: 7507, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7509 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7509, expected_value: E12000007, label: geography} + - {column: D, row: 7509, expected_value: Females, label: sex} + - {column: E, row: 7509, expected_value: Employee, label: employment type} + - {column: J, row: 7509, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7511 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7511, expected_value: E12000007, label: geography} + - {column: D, row: 7511, expected_value: Females, label: sex} + - {column: E, row: 7511, expected_value: Employee, label: employment type} + - {column: J, row: 7511, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7513 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7513, expected_value: E12000007, label: geography} + - {column: D, row: 7513, expected_value: Females, label: sex} + - {column: E, row: 7513, expected_value: Employee, label: employment type} + - {column: J, row: 7513, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7515 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7515, expected_value: E12000007, label: geography} + - {column: D, row: 7515, expected_value: Females, label: sex} + - {column: E, row: 7515, expected_value: Employee, label: employment type} + - {column: J, row: 7515, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7517 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7517, expected_value: E12000007, label: geography} + - {column: D, row: 7517, expected_value: Females, label: sex} + - {column: E, row: 7517, expected_value: Employee, label: employment type} + - {column: J, row: 7517, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7519 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7519, expected_value: E12000007, label: geography} + - {column: D, row: 7519, expected_value: Females, label: sex} + - {column: E, row: 7519, expected_value: Employee, label: employment type} + - {column: J, row: 7519, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7521 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7521, expected_value: E12000007, label: geography} + - {column: D, row: 7521, expected_value: Females, label: sex} + - {column: E, row: 7521, expected_value: Employee, label: employment type} + - {column: J, row: 7521, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7523 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7523, expected_value: E12000007, label: geography} + - {column: D, row: 7523, expected_value: Females, label: sex} + - {column: E, row: 7523, expected_value: Employee, label: employment type} + - {column: J, row: 7523, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7525 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7525, expected_value: E12000007, label: geography} + - {column: D, row: 7525, expected_value: Females, label: sex} + - {column: E, row: 7525, expected_value: Employee, label: employment type} + - {column: J, row: 7525, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7527 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7527, expected_value: E12000007, label: geography} + - {column: D, row: 7527, expected_value: Females, label: sex} + - {column: E, row: 7527, expected_value: Employee, label: employment type} + - {column: J, row: 7527, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7535 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7535, expected_value: E12000007, label: geography} + - {column: D, row: 7535, expected_value: Females, label: sex} + - {column: E, row: 7535, expected_value: Employee, label: employment type} + - {column: J, row: 7535, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7537 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7537, expected_value: E12000007, label: geography} + - {column: D, row: 7537, expected_value: Females, label: sex} + - {column: E, row: 7537, expected_value: Employee, label: employment type} + - {column: J, row: 7537, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7539 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7539, expected_value: E12000007, label: geography} + - {column: D, row: 7539, expected_value: Females, label: sex} + - {column: E, row: 7539, expected_value: Employee, label: employment type} + - {column: J, row: 7539, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7541 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7541, expected_value: E12000007, label: geography} + - {column: D, row: 7541, expected_value: Females, label: sex} + - {column: E, row: 7541, expected_value: Employee, label: employment type} + - {column: J, row: 7541, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7545 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7545, expected_value: E12000007, label: geography} + - {column: D, row: 7545, expected_value: Females, label: sex} + - {column: E, row: 7545, expected_value: Employee, label: employment type} + - {column: J, row: 7545, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7547 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7547, expected_value: E12000007, label: geography} + - {column: D, row: 7547, expected_value: Females, label: sex} + - {column: E, row: 7547, expected_value: Employee, label: employment type} + - {column: J, row: 7547, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7549 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7549, expected_value: E12000007, label: geography} + - {column: D, row: 7549, expected_value: Females, label: sex} + - {column: E, row: 7549, expected_value: Employee, label: employment type} + - {column: J, row: 7549, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7551 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7551, expected_value: E12000007, label: geography} + - {column: D, row: 7551, expected_value: Females, label: sex} + - {column: E, row: 7551, expected_value: Employee, label: employment type} + - {column: J, row: 7551, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7557 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7557, expected_value: E12000007, label: geography} + - {column: D, row: 7557, expected_value: Females, label: sex} + - {column: E, row: 7557, expected_value: Employee, label: employment type} + - {column: J, row: 7557, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7561 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7561, expected_value: E12000007, label: geography} + - {column: D, row: 7561, expected_value: Females, label: sex} + - {column: E, row: 7561, expected_value: Employee, label: employment type} + - {column: J, row: 7561, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7706 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7706, expected_value: E12000007, label: geography} + - {column: D, row: 7706, expected_value: Females, label: sex} + - {column: E, row: 7706, expected_value: Self-employed, label: employment type} + - {column: J, row: 7706, expected_value: Value, label: measure} + - {column: L, row: 7707, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7708 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7708, expected_value: E12000007, label: geography} + - {column: D, row: 7708, expected_value: Females, label: sex} + - {column: E, row: 7708, expected_value: Self-employed, label: employment type} + - {column: J, row: 7708, expected_value: Value, label: measure} + - {column: L, row: 7709, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7710 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7710, expected_value: E12000007, label: geography} + - {column: D, row: 7710, expected_value: Females, label: sex} + - {column: E, row: 7710, expected_value: Self-employed, label: employment type} + - {column: J, row: 7710, expected_value: Value, label: measure} + - {column: L, row: 7711, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7712 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7712, expected_value: E12000007, label: geography} + - {column: D, row: 7712, expected_value: Females, label: sex} + - {column: E, row: 7712, expected_value: Self-employed, label: employment type} + - {column: J, row: 7712, expected_value: Value, label: measure} + - {column: L, row: 7713, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7714 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7714, expected_value: E12000007, label: geography} + - {column: D, row: 7714, expected_value: Females, label: sex} + - {column: E, row: 7714, expected_value: Self-employed, label: employment type} + - {column: J, row: 7714, expected_value: Value, label: measure} + - {column: L, row: 7715, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7716 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7716, expected_value: E12000007, label: geography} + - {column: D, row: 7716, expected_value: Females, label: sex} + - {column: E, row: 7716, expected_value: Self-employed, label: employment type} + - {column: J, row: 7716, expected_value: Value, label: measure} + - {column: L, row: 7717, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7718 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7718, expected_value: E12000007, label: geography} + - {column: D, row: 7718, expected_value: Females, label: sex} + - {column: E, row: 7718, expected_value: Self-employed, label: employment type} + - {column: J, row: 7718, expected_value: Value, label: measure} + - {column: L, row: 7719, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7720 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7720, expected_value: E12000007, label: geography} + - {column: D, row: 7720, expected_value: Females, label: sex} + - {column: E, row: 7720, expected_value: Self-employed, label: employment type} + - {column: J, row: 7720, expected_value: Value, label: measure} + - {column: L, row: 7721, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7722 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7722, expected_value: E12000007, label: geography} + - {column: D, row: 7722, expected_value: Females, label: sex} + - {column: E, row: 7722, expected_value: Self-employed, label: employment type} + - {column: J, row: 7722, expected_value: Value, label: measure} + - {column: L, row: 7723, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7724 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7724, expected_value: E12000007, label: geography} + - {column: D, row: 7724, expected_value: Females, label: sex} + - {column: E, row: 7724, expected_value: Self-employed, label: employment type} + - {column: J, row: 7724, expected_value: Value, label: measure} + - {column: L, row: 7725, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7726 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7726, expected_value: E12000007, label: geography} + - {column: D, row: 7726, expected_value: Females, label: sex} + - {column: E, row: 7726, expected_value: Self-employed, label: employment type} + - {column: J, row: 7726, expected_value: Value, label: measure} + - {column: L, row: 7727, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7728 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7728, expected_value: E12000007, label: geography} + - {column: D, row: 7728, expected_value: Females, label: sex} + - {column: E, row: 7728, expected_value: Self-employed, label: employment type} + - {column: J, row: 7728, expected_value: Value, label: measure} + - {column: L, row: 7729, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7732 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7732, expected_value: E12000007, label: geography} + - {column: D, row: 7732, expected_value: Females, label: sex} + - {column: E, row: 7732, expected_value: Self-employed, label: employment type} + - {column: J, row: 7732, expected_value: Value, label: measure} + - {column: L, row: 7733, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7734 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7734, expected_value: E12000007, label: geography} + - {column: D, row: 7734, expected_value: Females, label: sex} + - {column: E, row: 7734, expected_value: Self-employed, label: employment type} + - {column: J, row: 7734, expected_value: Value, label: measure} + - {column: L, row: 7735, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7736 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7736, expected_value: E12000007, label: geography} + - {column: D, row: 7736, expected_value: Females, label: sex} + - {column: E, row: 7736, expected_value: Self-employed, label: employment type} + - {column: J, row: 7736, expected_value: Value, label: measure} + - {column: L, row: 7737, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7738 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7738, expected_value: E12000007, label: geography} + - {column: D, row: 7738, expected_value: Females, label: sex} + - {column: E, row: 7738, expected_value: Self-employed, label: employment type} + - {column: J, row: 7738, expected_value: Value, label: measure} + - {column: L, row: 7739, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7740 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7740, expected_value: E12000007, label: geography} + - {column: D, row: 7740, expected_value: Females, label: sex} + - {column: E, row: 7740, expected_value: Self-employed, label: employment type} + - {column: J, row: 7740, expected_value: Value, label: measure} + - {column: L, row: 7741, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7742 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7742, expected_value: E12000007, label: geography} + - {column: D, row: 7742, expected_value: Females, label: sex} + - {column: E, row: 7742, expected_value: Self-employed, label: employment type} + - {column: J, row: 7742, expected_value: Value, label: measure} + - {column: L, row: 7743, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7744 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7744, expected_value: E12000007, label: geography} + - {column: D, row: 7744, expected_value: Females, label: sex} + - {column: E, row: 7744, expected_value: Self-employed, label: employment type} + - {column: J, row: 7744, expected_value: Value, label: measure} + - {column: L, row: 7745, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7748 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7748, expected_value: E12000007, label: geography} + - {column: D, row: 7748, expected_value: Females, label: sex} + - {column: E, row: 7748, expected_value: Self-employed, label: employment type} + - {column: J, row: 7748, expected_value: Value, label: measure} + - {column: L, row: 7749, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7750 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7750, expected_value: E12000007, label: geography} + - {column: D, row: 7750, expected_value: Females, label: sex} + - {column: E, row: 7750, expected_value: Self-employed, label: employment type} + - {column: J, row: 7750, expected_value: Value, label: measure} + - {column: L, row: 7751, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7752 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7752, expected_value: E12000007, label: geography} + - {column: D, row: 7752, expected_value: Females, label: sex} + - {column: E, row: 7752, expected_value: Self-employed, label: employment type} + - {column: J, row: 7752, expected_value: Value, label: measure} + - {column: L, row: 7753, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7754 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7754, expected_value: E12000007, label: geography} + - {column: D, row: 7754, expected_value: Females, label: sex} + - {column: E, row: 7754, expected_value: Self-employed, label: employment type} + - {column: J, row: 7754, expected_value: Value, label: measure} + - {column: L, row: 7755, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7756 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7756, expected_value: E12000007, label: geography} + - {column: D, row: 7756, expected_value: Females, label: sex} + - {column: E, row: 7756, expected_value: Self-employed, label: employment type} + - {column: J, row: 7756, expected_value: Value, label: measure} + - {column: L, row: 7757, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7760 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7760, expected_value: E12000007, label: geography} + - {column: D, row: 7760, expected_value: Females, label: sex} + - {column: E, row: 7760, expected_value: Self-employed, label: employment type} + - {column: J, row: 7760, expected_value: Value, label: measure} + - {column: L, row: 7761, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7762 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7762, expected_value: E12000007, label: geography} + - {column: D, row: 7762, expected_value: Females, label: sex} + - {column: E, row: 7762, expected_value: Self-employed, label: employment type} + - {column: J, row: 7762, expected_value: Value, label: measure} + - {column: L, row: 7763, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7764 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7764, expected_value: E12000007, label: geography} + - {column: D, row: 7764, expected_value: Females, label: sex} + - {column: E, row: 7764, expected_value: Self-employed, label: employment type} + - {column: J, row: 7764, expected_value: Value, label: measure} + - {column: L, row: 7765, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7766 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7766, expected_value: E12000007, label: geography} + - {column: D, row: 7766, expected_value: Females, label: sex} + - {column: E, row: 7766, expected_value: Self-employed, label: employment type} + - {column: J, row: 7766, expected_value: Value, label: measure} + - {column: L, row: 7767, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7768 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7768, expected_value: E12000007, label: geography} + - {column: D, row: 7768, expected_value: Females, label: sex} + - {column: E, row: 7768, expected_value: Self-employed, label: employment type} + - {column: J, row: 7768, expected_value: Value, label: measure} + - {column: L, row: 7769, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7770 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7770, expected_value: E12000007, label: geography} + - {column: D, row: 7770, expected_value: Females, label: sex} + - {column: E, row: 7770, expected_value: Self-employed, label: employment type} + - {column: J, row: 7770, expected_value: Value, label: measure} + - {column: L, row: 7771, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7772 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7772, expected_value: E12000007, label: geography} + - {column: D, row: 7772, expected_value: Females, label: sex} + - {column: E, row: 7772, expected_value: Self-employed, label: employment type} + - {column: J, row: 7772, expected_value: Value, label: measure} + - {column: L, row: 7773, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7776 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7776, expected_value: E12000007, label: geography} + - {column: D, row: 7776, expected_value: Females, label: sex} + - {column: E, row: 7776, expected_value: Self-employed, label: employment type} + - {column: J, row: 7776, expected_value: Value, label: measure} + - {column: L, row: 7777, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000007.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7707 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7707, expected_value: E12000007, label: geography} + - {column: D, row: 7707, expected_value: Females, label: sex} + - {column: E, row: 7707, expected_value: Self-employed, label: employment type} + - {column: J, row: 7707, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7709 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7709, expected_value: E12000007, label: geography} + - {column: D, row: 7709, expected_value: Females, label: sex} + - {column: E, row: 7709, expected_value: Self-employed, label: employment type} + - {column: J, row: 7709, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7711 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7711, expected_value: E12000007, label: geography} + - {column: D, row: 7711, expected_value: Females, label: sex} + - {column: E, row: 7711, expected_value: Self-employed, label: employment type} + - {column: J, row: 7711, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7713 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7713, expected_value: E12000007, label: geography} + - {column: D, row: 7713, expected_value: Females, label: sex} + - {column: E, row: 7713, expected_value: Self-employed, label: employment type} + - {column: J, row: 7713, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7715 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7715, expected_value: E12000007, label: geography} + - {column: D, row: 7715, expected_value: Females, label: sex} + - {column: E, row: 7715, expected_value: Self-employed, label: employment type} + - {column: J, row: 7715, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7717 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7717, expected_value: E12000007, label: geography} + - {column: D, row: 7717, expected_value: Females, label: sex} + - {column: E, row: 7717, expected_value: Self-employed, label: employment type} + - {column: J, row: 7717, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7719 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7719, expected_value: E12000007, label: geography} + - {column: D, row: 7719, expected_value: Females, label: sex} + - {column: E, row: 7719, expected_value: Self-employed, label: employment type} + - {column: J, row: 7719, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7721 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7721, expected_value: E12000007, label: geography} + - {column: D, row: 7721, expected_value: Females, label: sex} + - {column: E, row: 7721, expected_value: Self-employed, label: employment type} + - {column: J, row: 7721, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7723 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7723, expected_value: E12000007, label: geography} + - {column: D, row: 7723, expected_value: Females, label: sex} + - {column: E, row: 7723, expected_value: Self-employed, label: employment type} + - {column: J, row: 7723, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7725 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7725, expected_value: E12000007, label: geography} + - {column: D, row: 7725, expected_value: Females, label: sex} + - {column: E, row: 7725, expected_value: Self-employed, label: employment type} + - {column: J, row: 7725, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7729 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7729, expected_value: E12000007, label: geography} + - {column: D, row: 7729, expected_value: Females, label: sex} + - {column: E, row: 7729, expected_value: Self-employed, label: employment type} + - {column: J, row: 7729, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7733 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7733, expected_value: E12000007, label: geography} + - {column: D, row: 7733, expected_value: Females, label: sex} + - {column: E, row: 7733, expected_value: Self-employed, label: employment type} + - {column: J, row: 7733, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7735 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7735, expected_value: E12000007, label: geography} + - {column: D, row: 7735, expected_value: Females, label: sex} + - {column: E, row: 7735, expected_value: Self-employed, label: employment type} + - {column: J, row: 7735, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7737 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7737, expected_value: E12000007, label: geography} + - {column: D, row: 7737, expected_value: Females, label: sex} + - {column: E, row: 7737, expected_value: Self-employed, label: employment type} + - {column: J, row: 7737, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7739 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7739, expected_value: E12000007, label: geography} + - {column: D, row: 7739, expected_value: Females, label: sex} + - {column: E, row: 7739, expected_value: Self-employed, label: employment type} + - {column: J, row: 7739, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7743 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7743, expected_value: E12000007, label: geography} + - {column: D, row: 7743, expected_value: Females, label: sex} + - {column: E, row: 7743, expected_value: Self-employed, label: employment type} + - {column: J, row: 7743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7753 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7753, expected_value: E12000007, label: geography} + - {column: D, row: 7753, expected_value: Females, label: sex} + - {column: E, row: 7753, expected_value: Self-employed, label: employment type} + - {column: J, row: 7753, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7755 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7755, expected_value: E12000007, label: geography} + - {column: D, row: 7755, expected_value: Females, label: sex} + - {column: E, row: 7755, expected_value: Self-employed, label: employment type} + - {column: J, row: 7755, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7757 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7757, expected_value: E12000007, label: geography} + - {column: D, row: 7757, expected_value: Females, label: sex} + - {column: E, row: 7757, expected_value: Self-employed, label: employment type} + - {column: J, row: 7757, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7761 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7761, expected_value: E12000007, label: geography} + - {column: D, row: 7761, expected_value: Females, label: sex} + - {column: E, row: 7761, expected_value: Self-employed, label: employment type} + - {column: J, row: 7761, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7763 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7763, expected_value: E12000007, label: geography} + - {column: D, row: 7763, expected_value: Females, label: sex} + - {column: E, row: 7763, expected_value: Self-employed, label: employment type} + - {column: J, row: 7763, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7767 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7767, expected_value: E12000007, label: geography} + - {column: D, row: 7767, expected_value: Females, label: sex} + - {column: E, row: 7767, expected_value: Self-employed, label: employment type} + - {column: J, row: 7767, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7771 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7771, expected_value: E12000007, label: geography} + - {column: D, row: 7771, expected_value: Females, label: sex} + - {column: E, row: 7771, expected_value: Self-employed, label: employment type} + - {column: J, row: 7771, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7773 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7773, expected_value: E12000007, label: geography} + - {column: D, row: 7773, expected_value: Females, label: sex} + - {column: E, row: 7773, expected_value: Self-employed, label: employment type} + - {column: J, row: 7773, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7777 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7777, expected_value: E12000007, label: geography} + - {column: D, row: 7777, expected_value: Females, label: sex} + - {column: E, row: 7777, expected_value: Self-employed, label: employment type} + - {column: J, row: 7777, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7778 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7778, expected_value: E12000008, label: geography} + - {column: D, row: 7778, expected_value: All persons, label: sex} + - {column: E, row: 7778, expected_value: Total, label: employment type} + - {column: J, row: 7778, expected_value: Value, label: measure} + - {column: L, row: 7779, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7780 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7780, expected_value: E12000008, label: geography} + - {column: D, row: 7780, expected_value: All persons, label: sex} + - {column: E, row: 7780, expected_value: Total, label: employment type} + - {column: J, row: 7780, expected_value: Value, label: measure} + - {column: L, row: 7781, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7782 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7782, expected_value: E12000008, label: geography} + - {column: D, row: 7782, expected_value: All persons, label: sex} + - {column: E, row: 7782, expected_value: Total, label: employment type} + - {column: J, row: 7782, expected_value: Value, label: measure} + - {column: L, row: 7783, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7784 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7784, expected_value: E12000008, label: geography} + - {column: D, row: 7784, expected_value: All persons, label: sex} + - {column: E, row: 7784, expected_value: Total, label: employment type} + - {column: J, row: 7784, expected_value: Value, label: measure} + - {column: L, row: 7785, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7786 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7786, expected_value: E12000008, label: geography} + - {column: D, row: 7786, expected_value: All persons, label: sex} + - {column: E, row: 7786, expected_value: Total, label: employment type} + - {column: J, row: 7786, expected_value: Value, label: measure} + - {column: L, row: 7787, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7788 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7788, expected_value: E12000008, label: geography} + - {column: D, row: 7788, expected_value: All persons, label: sex} + - {column: E, row: 7788, expected_value: Total, label: employment type} + - {column: J, row: 7788, expected_value: Value, label: measure} + - {column: L, row: 7789, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7790 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7790, expected_value: E12000008, label: geography} + - {column: D, row: 7790, expected_value: All persons, label: sex} + - {column: E, row: 7790, expected_value: Total, label: employment type} + - {column: J, row: 7790, expected_value: Value, label: measure} + - {column: L, row: 7791, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7792 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7792, expected_value: E12000008, label: geography} + - {column: D, row: 7792, expected_value: All persons, label: sex} + - {column: E, row: 7792, expected_value: Total, label: employment type} + - {column: J, row: 7792, expected_value: Value, label: measure} + - {column: L, row: 7793, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7794 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7794, expected_value: E12000008, label: geography} + - {column: D, row: 7794, expected_value: All persons, label: sex} + - {column: E, row: 7794, expected_value: Total, label: employment type} + - {column: J, row: 7794, expected_value: Value, label: measure} + - {column: L, row: 7795, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7796 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7796, expected_value: E12000008, label: geography} + - {column: D, row: 7796, expected_value: All persons, label: sex} + - {column: E, row: 7796, expected_value: Total, label: employment type} + - {column: J, row: 7796, expected_value: Value, label: measure} + - {column: L, row: 7797, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7798 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7798, expected_value: E12000008, label: geography} + - {column: D, row: 7798, expected_value: All persons, label: sex} + - {column: E, row: 7798, expected_value: Total, label: employment type} + - {column: J, row: 7798, expected_value: Value, label: measure} + - {column: L, row: 7799, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7800 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7800, expected_value: E12000008, label: geography} + - {column: D, row: 7800, expected_value: All persons, label: sex} + - {column: E, row: 7800, expected_value: Total, label: employment type} + - {column: J, row: 7800, expected_value: Value, label: measure} + - {column: L, row: 7801, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7802 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7802, expected_value: E12000008, label: geography} + - {column: D, row: 7802, expected_value: All persons, label: sex} + - {column: E, row: 7802, expected_value: Total, label: employment type} + - {column: J, row: 7802, expected_value: Value, label: measure} + - {column: L, row: 7803, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7804 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7804, expected_value: E12000008, label: geography} + - {column: D, row: 7804, expected_value: All persons, label: sex} + - {column: E, row: 7804, expected_value: Total, label: employment type} + - {column: J, row: 7804, expected_value: Value, label: measure} + - {column: L, row: 7805, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7806 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7806, expected_value: E12000008, label: geography} + - {column: D, row: 7806, expected_value: All persons, label: sex} + - {column: E, row: 7806, expected_value: Total, label: employment type} + - {column: J, row: 7806, expected_value: Value, label: measure} + - {column: L, row: 7807, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7808 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7808, expected_value: E12000008, label: geography} + - {column: D, row: 7808, expected_value: All persons, label: sex} + - {column: E, row: 7808, expected_value: Total, label: employment type} + - {column: J, row: 7808, expected_value: Value, label: measure} + - {column: L, row: 7809, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7810 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7810, expected_value: E12000008, label: geography} + - {column: D, row: 7810, expected_value: All persons, label: sex} + - {column: E, row: 7810, expected_value: Total, label: employment type} + - {column: J, row: 7810, expected_value: Value, label: measure} + - {column: L, row: 7811, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7812 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7812, expected_value: E12000008, label: geography} + - {column: D, row: 7812, expected_value: All persons, label: sex} + - {column: E, row: 7812, expected_value: Total, label: employment type} + - {column: J, row: 7812, expected_value: Value, label: measure} + - {column: L, row: 7813, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7814 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7814, expected_value: E12000008, label: geography} + - {column: D, row: 7814, expected_value: All persons, label: sex} + - {column: E, row: 7814, expected_value: Total, label: employment type} + - {column: J, row: 7814, expected_value: Value, label: measure} + - {column: L, row: 7815, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7816 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7816, expected_value: E12000008, label: geography} + - {column: D, row: 7816, expected_value: All persons, label: sex} + - {column: E, row: 7816, expected_value: Total, label: employment type} + - {column: J, row: 7816, expected_value: Value, label: measure} + - {column: L, row: 7817, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7818 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7818, expected_value: E12000008, label: geography} + - {column: D, row: 7818, expected_value: All persons, label: sex} + - {column: E, row: 7818, expected_value: Total, label: employment type} + - {column: J, row: 7818, expected_value: Value, label: measure} + - {column: L, row: 7819, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7820 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7820, expected_value: E12000008, label: geography} + - {column: D, row: 7820, expected_value: All persons, label: sex} + - {column: E, row: 7820, expected_value: Total, label: employment type} + - {column: J, row: 7820, expected_value: Value, label: measure} + - {column: L, row: 7821, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7822 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7822, expected_value: E12000008, label: geography} + - {column: D, row: 7822, expected_value: All persons, label: sex} + - {column: E, row: 7822, expected_value: Total, label: employment type} + - {column: J, row: 7822, expected_value: Value, label: measure} + - {column: L, row: 7823, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7824 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7824, expected_value: E12000008, label: geography} + - {column: D, row: 7824, expected_value: All persons, label: sex} + - {column: E, row: 7824, expected_value: Total, label: employment type} + - {column: J, row: 7824, expected_value: Value, label: measure} + - {column: L, row: 7825, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7826 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7826, expected_value: E12000008, label: geography} + - {column: D, row: 7826, expected_value: All persons, label: sex} + - {column: E, row: 7826, expected_value: Total, label: employment type} + - {column: J, row: 7826, expected_value: Value, label: measure} + - {column: L, row: 7827, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7828 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7828, expected_value: E12000008, label: geography} + - {column: D, row: 7828, expected_value: All persons, label: sex} + - {column: E, row: 7828, expected_value: Total, label: employment type} + - {column: J, row: 7828, expected_value: Value, label: measure} + - {column: L, row: 7829, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7830 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7830, expected_value: E12000008, label: geography} + - {column: D, row: 7830, expected_value: All persons, label: sex} + - {column: E, row: 7830, expected_value: Total, label: employment type} + - {column: J, row: 7830, expected_value: Value, label: measure} + - {column: L, row: 7831, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7832 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7832, expected_value: E12000008, label: geography} + - {column: D, row: 7832, expected_value: All persons, label: sex} + - {column: E, row: 7832, expected_value: Total, label: employment type} + - {column: J, row: 7832, expected_value: Value, label: measure} + - {column: L, row: 7833, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7834 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7834, expected_value: E12000008, label: geography} + - {column: D, row: 7834, expected_value: All persons, label: sex} + - {column: E, row: 7834, expected_value: Total, label: employment type} + - {column: J, row: 7834, expected_value: Value, label: measure} + - {column: L, row: 7835, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7836 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7836, expected_value: E12000008, label: geography} + - {column: D, row: 7836, expected_value: All persons, label: sex} + - {column: E, row: 7836, expected_value: Total, label: employment type} + - {column: J, row: 7836, expected_value: Value, label: measure} + - {column: L, row: 7837, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7838 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7838, expected_value: E12000008, label: geography} + - {column: D, row: 7838, expected_value: All persons, label: sex} + - {column: E, row: 7838, expected_value: Total, label: employment type} + - {column: J, row: 7838, expected_value: Value, label: measure} + - {column: L, row: 7839, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7840 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7840, expected_value: E12000008, label: geography} + - {column: D, row: 7840, expected_value: All persons, label: sex} + - {column: E, row: 7840, expected_value: Total, label: employment type} + - {column: J, row: 7840, expected_value: Value, label: measure} + - {column: L, row: 7841, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7842 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7842, expected_value: E12000008, label: geography} + - {column: D, row: 7842, expected_value: All persons, label: sex} + - {column: E, row: 7842, expected_value: Total, label: employment type} + - {column: J, row: 7842, expected_value: Value, label: measure} + - {column: L, row: 7843, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7844 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7844, expected_value: E12000008, label: geography} + - {column: D, row: 7844, expected_value: All persons, label: sex} + - {column: E, row: 7844, expected_value: Total, label: employment type} + - {column: J, row: 7844, expected_value: Value, label: measure} + - {column: L, row: 7845, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7846 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7846, expected_value: E12000008, label: geography} + - {column: D, row: 7846, expected_value: All persons, label: sex} + - {column: E, row: 7846, expected_value: Total, label: employment type} + - {column: J, row: 7846, expected_value: Value, label: measure} + - {column: L, row: 7847, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7848 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7848, expected_value: E12000008, label: geography} + - {column: D, row: 7848, expected_value: All persons, label: sex} + - {column: E, row: 7848, expected_value: Total, label: employment type} + - {column: J, row: 7848, expected_value: Value, label: measure} + - {column: L, row: 7849, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7779 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7779, expected_value: E12000008, label: geography} + - {column: D, row: 7779, expected_value: All persons, label: sex} + - {column: E, row: 7779, expected_value: Total, label: employment type} + - {column: J, row: 7779, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7781 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7781, expected_value: E12000008, label: geography} + - {column: D, row: 7781, expected_value: All persons, label: sex} + - {column: E, row: 7781, expected_value: Total, label: employment type} + - {column: J, row: 7781, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7783 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7783, expected_value: E12000008, label: geography} + - {column: D, row: 7783, expected_value: All persons, label: sex} + - {column: E, row: 7783, expected_value: Total, label: employment type} + - {column: J, row: 7783, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7785 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7785, expected_value: E12000008, label: geography} + - {column: D, row: 7785, expected_value: All persons, label: sex} + - {column: E, row: 7785, expected_value: Total, label: employment type} + - {column: J, row: 7785, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7787 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7787, expected_value: E12000008, label: geography} + - {column: D, row: 7787, expected_value: All persons, label: sex} + - {column: E, row: 7787, expected_value: Total, label: employment type} + - {column: J, row: 7787, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7789 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7789, expected_value: E12000008, label: geography} + - {column: D, row: 7789, expected_value: All persons, label: sex} + - {column: E, row: 7789, expected_value: Total, label: employment type} + - {column: J, row: 7789, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7791 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7791, expected_value: E12000008, label: geography} + - {column: D, row: 7791, expected_value: All persons, label: sex} + - {column: E, row: 7791, expected_value: Total, label: employment type} + - {column: J, row: 7791, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7793 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7793, expected_value: E12000008, label: geography} + - {column: D, row: 7793, expected_value: All persons, label: sex} + - {column: E, row: 7793, expected_value: Total, label: employment type} + - {column: J, row: 7793, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7795 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7795, expected_value: E12000008, label: geography} + - {column: D, row: 7795, expected_value: All persons, label: sex} + - {column: E, row: 7795, expected_value: Total, label: employment type} + - {column: J, row: 7795, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7797 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7797, expected_value: E12000008, label: geography} + - {column: D, row: 7797, expected_value: All persons, label: sex} + - {column: E, row: 7797, expected_value: Total, label: employment type} + - {column: J, row: 7797, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7799 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7799, expected_value: E12000008, label: geography} + - {column: D, row: 7799, expected_value: All persons, label: sex} + - {column: E, row: 7799, expected_value: Total, label: employment type} + - {column: J, row: 7799, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7801 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7801, expected_value: E12000008, label: geography} + - {column: D, row: 7801, expected_value: All persons, label: sex} + - {column: E, row: 7801, expected_value: Total, label: employment type} + - {column: J, row: 7801, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7803 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7803, expected_value: E12000008, label: geography} + - {column: D, row: 7803, expected_value: All persons, label: sex} + - {column: E, row: 7803, expected_value: Total, label: employment type} + - {column: J, row: 7803, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7805 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7805, expected_value: E12000008, label: geography} + - {column: D, row: 7805, expected_value: All persons, label: sex} + - {column: E, row: 7805, expected_value: Total, label: employment type} + - {column: J, row: 7805, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7807 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7807, expected_value: E12000008, label: geography} + - {column: D, row: 7807, expected_value: All persons, label: sex} + - {column: E, row: 7807, expected_value: Total, label: employment type} + - {column: J, row: 7807, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7809 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7809, expected_value: E12000008, label: geography} + - {column: D, row: 7809, expected_value: All persons, label: sex} + - {column: E, row: 7809, expected_value: Total, label: employment type} + - {column: J, row: 7809, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7811 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7811, expected_value: E12000008, label: geography} + - {column: D, row: 7811, expected_value: All persons, label: sex} + - {column: E, row: 7811, expected_value: Total, label: employment type} + - {column: J, row: 7811, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7813 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7813, expected_value: E12000008, label: geography} + - {column: D, row: 7813, expected_value: All persons, label: sex} + - {column: E, row: 7813, expected_value: Total, label: employment type} + - {column: J, row: 7813, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7815 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7815, expected_value: E12000008, label: geography} + - {column: D, row: 7815, expected_value: All persons, label: sex} + - {column: E, row: 7815, expected_value: Total, label: employment type} + - {column: J, row: 7815, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7817 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7817, expected_value: E12000008, label: geography} + - {column: D, row: 7817, expected_value: All persons, label: sex} + - {column: E, row: 7817, expected_value: Total, label: employment type} + - {column: J, row: 7817, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7819 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7819, expected_value: E12000008, label: geography} + - {column: D, row: 7819, expected_value: All persons, label: sex} + - {column: E, row: 7819, expected_value: Total, label: employment type} + - {column: J, row: 7819, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7821 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7821, expected_value: E12000008, label: geography} + - {column: D, row: 7821, expected_value: All persons, label: sex} + - {column: E, row: 7821, expected_value: Total, label: employment type} + - {column: J, row: 7821, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7823 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7823, expected_value: E12000008, label: geography} + - {column: D, row: 7823, expected_value: All persons, label: sex} + - {column: E, row: 7823, expected_value: Total, label: employment type} + - {column: J, row: 7823, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7825 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7825, expected_value: E12000008, label: geography} + - {column: D, row: 7825, expected_value: All persons, label: sex} + - {column: E, row: 7825, expected_value: Total, label: employment type} + - {column: J, row: 7825, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7827 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7827, expected_value: E12000008, label: geography} + - {column: D, row: 7827, expected_value: All persons, label: sex} + - {column: E, row: 7827, expected_value: Total, label: employment type} + - {column: J, row: 7827, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7829 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7829, expected_value: E12000008, label: geography} + - {column: D, row: 7829, expected_value: All persons, label: sex} + - {column: E, row: 7829, expected_value: Total, label: employment type} + - {column: J, row: 7829, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7831 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7831, expected_value: E12000008, label: geography} + - {column: D, row: 7831, expected_value: All persons, label: sex} + - {column: E, row: 7831, expected_value: Total, label: employment type} + - {column: J, row: 7831, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7833 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7833, expected_value: E12000008, label: geography} + - {column: D, row: 7833, expected_value: All persons, label: sex} + - {column: E, row: 7833, expected_value: Total, label: employment type} + - {column: J, row: 7833, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7835 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7835, expected_value: E12000008, label: geography} + - {column: D, row: 7835, expected_value: All persons, label: sex} + - {column: E, row: 7835, expected_value: Total, label: employment type} + - {column: J, row: 7835, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7837 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7837, expected_value: E12000008, label: geography} + - {column: D, row: 7837, expected_value: All persons, label: sex} + - {column: E, row: 7837, expected_value: Total, label: employment type} + - {column: J, row: 7837, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7839 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7839, expected_value: E12000008, label: geography} + - {column: D, row: 7839, expected_value: All persons, label: sex} + - {column: E, row: 7839, expected_value: Total, label: employment type} + - {column: J, row: 7839, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7841 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7841, expected_value: E12000008, label: geography} + - {column: D, row: 7841, expected_value: All persons, label: sex} + - {column: E, row: 7841, expected_value: Total, label: employment type} + - {column: J, row: 7841, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7843 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7843, expected_value: E12000008, label: geography} + - {column: D, row: 7843, expected_value: All persons, label: sex} + - {column: E, row: 7843, expected_value: Total, label: employment type} + - {column: J, row: 7843, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7845 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7845, expected_value: E12000008, label: geography} + - {column: D, row: 7845, expected_value: All persons, label: sex} + - {column: E, row: 7845, expected_value: Total, label: employment type} + - {column: J, row: 7845, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7847 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7847, expected_value: E12000008, label: geography} + - {column: D, row: 7847, expected_value: All persons, label: sex} + - {column: E, row: 7847, expected_value: Total, label: employment type} + - {column: J, row: 7847, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7849 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7849, expected_value: E12000008, label: geography} + - {column: D, row: 7849, expected_value: All persons, label: sex} + - {column: E, row: 7849, expected_value: Total, label: employment type} + - {column: J, row: 7849, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7994 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7994, expected_value: E12000008, label: geography} + - {column: D, row: 7994, expected_value: All persons, label: sex} + - {column: E, row: 7994, expected_value: Employee, label: employment type} + - {column: J, row: 7994, expected_value: Value, label: measure} + - {column: L, row: 7995, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7996 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7996, expected_value: E12000008, label: geography} + - {column: D, row: 7996, expected_value: All persons, label: sex} + - {column: E, row: 7996, expected_value: Employee, label: employment type} + - {column: J, row: 7996, expected_value: Value, label: measure} + - {column: L, row: 7997, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7998 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7998, expected_value: E12000008, label: geography} + - {column: D, row: 7998, expected_value: All persons, label: sex} + - {column: E, row: 7998, expected_value: Employee, label: employment type} + - {column: J, row: 7998, expected_value: Value, label: measure} + - {column: L, row: 7999, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8000 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8000, expected_value: E12000008, label: geography} + - {column: D, row: 8000, expected_value: All persons, label: sex} + - {column: E, row: 8000, expected_value: Employee, label: employment type} + - {column: J, row: 8000, expected_value: Value, label: measure} + - {column: L, row: 8001, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8002 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8002, expected_value: E12000008, label: geography} + - {column: D, row: 8002, expected_value: All persons, label: sex} + - {column: E, row: 8002, expected_value: Employee, label: employment type} + - {column: J, row: 8002, expected_value: Value, label: measure} + - {column: L, row: 8003, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8004 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8004, expected_value: E12000008, label: geography} + - {column: D, row: 8004, expected_value: All persons, label: sex} + - {column: E, row: 8004, expected_value: Employee, label: employment type} + - {column: J, row: 8004, expected_value: Value, label: measure} + - {column: L, row: 8005, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8006 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8006, expected_value: E12000008, label: geography} + - {column: D, row: 8006, expected_value: All persons, label: sex} + - {column: E, row: 8006, expected_value: Employee, label: employment type} + - {column: J, row: 8006, expected_value: Value, label: measure} + - {column: L, row: 8007, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8008 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8008, expected_value: E12000008, label: geography} + - {column: D, row: 8008, expected_value: All persons, label: sex} + - {column: E, row: 8008, expected_value: Employee, label: employment type} + - {column: J, row: 8008, expected_value: Value, label: measure} + - {column: L, row: 8009, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8010 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8010, expected_value: E12000008, label: geography} + - {column: D, row: 8010, expected_value: All persons, label: sex} + - {column: E, row: 8010, expected_value: Employee, label: employment type} + - {column: J, row: 8010, expected_value: Value, label: measure} + - {column: L, row: 8011, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8012 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8012, expected_value: E12000008, label: geography} + - {column: D, row: 8012, expected_value: All persons, label: sex} + - {column: E, row: 8012, expected_value: Employee, label: employment type} + - {column: J, row: 8012, expected_value: Value, label: measure} + - {column: L, row: 8013, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8014 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8014, expected_value: E12000008, label: geography} + - {column: D, row: 8014, expected_value: All persons, label: sex} + - {column: E, row: 8014, expected_value: Employee, label: employment type} + - {column: J, row: 8014, expected_value: Value, label: measure} + - {column: L, row: 8015, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8016 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8016, expected_value: E12000008, label: geography} + - {column: D, row: 8016, expected_value: All persons, label: sex} + - {column: E, row: 8016, expected_value: Employee, label: employment type} + - {column: J, row: 8016, expected_value: Value, label: measure} + - {column: L, row: 8017, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8018 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8018, expected_value: E12000008, label: geography} + - {column: D, row: 8018, expected_value: All persons, label: sex} + - {column: E, row: 8018, expected_value: Employee, label: employment type} + - {column: J, row: 8018, expected_value: Value, label: measure} + - {column: L, row: 8019, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8020 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8020, expected_value: E12000008, label: geography} + - {column: D, row: 8020, expected_value: All persons, label: sex} + - {column: E, row: 8020, expected_value: Employee, label: employment type} + - {column: J, row: 8020, expected_value: Value, label: measure} + - {column: L, row: 8021, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8022 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8022, expected_value: E12000008, label: geography} + - {column: D, row: 8022, expected_value: All persons, label: sex} + - {column: E, row: 8022, expected_value: Employee, label: employment type} + - {column: J, row: 8022, expected_value: Value, label: measure} + - {column: L, row: 8023, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8024 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8024, expected_value: E12000008, label: geography} + - {column: D, row: 8024, expected_value: All persons, label: sex} + - {column: E, row: 8024, expected_value: Employee, label: employment type} + - {column: J, row: 8024, expected_value: Value, label: measure} + - {column: L, row: 8025, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8026 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8026, expected_value: E12000008, label: geography} + - {column: D, row: 8026, expected_value: All persons, label: sex} + - {column: E, row: 8026, expected_value: Employee, label: employment type} + - {column: J, row: 8026, expected_value: Value, label: measure} + - {column: L, row: 8027, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8028 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8028, expected_value: E12000008, label: geography} + - {column: D, row: 8028, expected_value: All persons, label: sex} + - {column: E, row: 8028, expected_value: Employee, label: employment type} + - {column: J, row: 8028, expected_value: Value, label: measure} + - {column: L, row: 8029, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8030 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8030, expected_value: E12000008, label: geography} + - {column: D, row: 8030, expected_value: All persons, label: sex} + - {column: E, row: 8030, expected_value: Employee, label: employment type} + - {column: J, row: 8030, expected_value: Value, label: measure} + - {column: L, row: 8031, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8032 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8032, expected_value: E12000008, label: geography} + - {column: D, row: 8032, expected_value: All persons, label: sex} + - {column: E, row: 8032, expected_value: Employee, label: employment type} + - {column: J, row: 8032, expected_value: Value, label: measure} + - {column: L, row: 8033, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8034 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8034, expected_value: E12000008, label: geography} + - {column: D, row: 8034, expected_value: All persons, label: sex} + - {column: E, row: 8034, expected_value: Employee, label: employment type} + - {column: J, row: 8034, expected_value: Value, label: measure} + - {column: L, row: 8035, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8036 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8036, expected_value: E12000008, label: geography} + - {column: D, row: 8036, expected_value: All persons, label: sex} + - {column: E, row: 8036, expected_value: Employee, label: employment type} + - {column: J, row: 8036, expected_value: Value, label: measure} + - {column: L, row: 8037, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8038 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8038, expected_value: E12000008, label: geography} + - {column: D, row: 8038, expected_value: All persons, label: sex} + - {column: E, row: 8038, expected_value: Employee, label: employment type} + - {column: J, row: 8038, expected_value: Value, label: measure} + - {column: L, row: 8039, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8040 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8040, expected_value: E12000008, label: geography} + - {column: D, row: 8040, expected_value: All persons, label: sex} + - {column: E, row: 8040, expected_value: Employee, label: employment type} + - {column: J, row: 8040, expected_value: Value, label: measure} + - {column: L, row: 8041, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8042 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8042, expected_value: E12000008, label: geography} + - {column: D, row: 8042, expected_value: All persons, label: sex} + - {column: E, row: 8042, expected_value: Employee, label: employment type} + - {column: J, row: 8042, expected_value: Value, label: measure} + - {column: L, row: 8043, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8044 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8044, expected_value: E12000008, label: geography} + - {column: D, row: 8044, expected_value: All persons, label: sex} + - {column: E, row: 8044, expected_value: Employee, label: employment type} + - {column: J, row: 8044, expected_value: Value, label: measure} + - {column: L, row: 8045, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8046 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8046, expected_value: E12000008, label: geography} + - {column: D, row: 8046, expected_value: All persons, label: sex} + - {column: E, row: 8046, expected_value: Employee, label: employment type} + - {column: J, row: 8046, expected_value: Value, label: measure} + - {column: L, row: 8047, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8048 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8048, expected_value: E12000008, label: geography} + - {column: D, row: 8048, expected_value: All persons, label: sex} + - {column: E, row: 8048, expected_value: Employee, label: employment type} + - {column: J, row: 8048, expected_value: Value, label: measure} + - {column: L, row: 8049, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8050 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8050, expected_value: E12000008, label: geography} + - {column: D, row: 8050, expected_value: All persons, label: sex} + - {column: E, row: 8050, expected_value: Employee, label: employment type} + - {column: J, row: 8050, expected_value: Value, label: measure} + - {column: L, row: 8051, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8052 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8052, expected_value: E12000008, label: geography} + - {column: D, row: 8052, expected_value: All persons, label: sex} + - {column: E, row: 8052, expected_value: Employee, label: employment type} + - {column: J, row: 8052, expected_value: Value, label: measure} + - {column: L, row: 8053, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8054 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8054, expected_value: E12000008, label: geography} + - {column: D, row: 8054, expected_value: All persons, label: sex} + - {column: E, row: 8054, expected_value: Employee, label: employment type} + - {column: J, row: 8054, expected_value: Value, label: measure} + - {column: L, row: 8055, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8056 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8056, expected_value: E12000008, label: geography} + - {column: D, row: 8056, expected_value: All persons, label: sex} + - {column: E, row: 8056, expected_value: Employee, label: employment type} + - {column: J, row: 8056, expected_value: Value, label: measure} + - {column: L, row: 8057, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8058 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8058, expected_value: E12000008, label: geography} + - {column: D, row: 8058, expected_value: All persons, label: sex} + - {column: E, row: 8058, expected_value: Employee, label: employment type} + - {column: J, row: 8058, expected_value: Value, label: measure} + - {column: L, row: 8059, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8060 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8060, expected_value: E12000008, label: geography} + - {column: D, row: 8060, expected_value: All persons, label: sex} + - {column: E, row: 8060, expected_value: Employee, label: employment type} + - {column: J, row: 8060, expected_value: Value, label: measure} + - {column: L, row: 8061, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8062 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8062, expected_value: E12000008, label: geography} + - {column: D, row: 8062, expected_value: All persons, label: sex} + - {column: E, row: 8062, expected_value: Employee, label: employment type} + - {column: J, row: 8062, expected_value: Value, label: measure} + - {column: L, row: 8063, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8064 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8064, expected_value: E12000008, label: geography} + - {column: D, row: 8064, expected_value: All persons, label: sex} + - {column: E, row: 8064, expected_value: Employee, label: employment type} + - {column: J, row: 8064, expected_value: Value, label: measure} + - {column: L, row: 8065, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7995 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7995, expected_value: E12000008, label: geography} + - {column: D, row: 7995, expected_value: All persons, label: sex} + - {column: E, row: 7995, expected_value: Employee, label: employment type} + - {column: J, row: 7995, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7997 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7997, expected_value: E12000008, label: geography} + - {column: D, row: 7997, expected_value: All persons, label: sex} + - {column: E, row: 7997, expected_value: Employee, label: employment type} + - {column: J, row: 7997, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7999 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7999, expected_value: E12000008, label: geography} + - {column: D, row: 7999, expected_value: All persons, label: sex} + - {column: E, row: 7999, expected_value: Employee, label: employment type} + - {column: J, row: 7999, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8001 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8001, expected_value: E12000008, label: geography} + - {column: D, row: 8001, expected_value: All persons, label: sex} + - {column: E, row: 8001, expected_value: Employee, label: employment type} + - {column: J, row: 8001, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8003 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8003, expected_value: E12000008, label: geography} + - {column: D, row: 8003, expected_value: All persons, label: sex} + - {column: E, row: 8003, expected_value: Employee, label: employment type} + - {column: J, row: 8003, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8005 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8005, expected_value: E12000008, label: geography} + - {column: D, row: 8005, expected_value: All persons, label: sex} + - {column: E, row: 8005, expected_value: Employee, label: employment type} + - {column: J, row: 8005, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8007 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8007, expected_value: E12000008, label: geography} + - {column: D, row: 8007, expected_value: All persons, label: sex} + - {column: E, row: 8007, expected_value: Employee, label: employment type} + - {column: J, row: 8007, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8009 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8009, expected_value: E12000008, label: geography} + - {column: D, row: 8009, expected_value: All persons, label: sex} + - {column: E, row: 8009, expected_value: Employee, label: employment type} + - {column: J, row: 8009, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8011 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8011, expected_value: E12000008, label: geography} + - {column: D, row: 8011, expected_value: All persons, label: sex} + - {column: E, row: 8011, expected_value: Employee, label: employment type} + - {column: J, row: 8011, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8013 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8013, expected_value: E12000008, label: geography} + - {column: D, row: 8013, expected_value: All persons, label: sex} + - {column: E, row: 8013, expected_value: Employee, label: employment type} + - {column: J, row: 8013, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8015 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8015, expected_value: E12000008, label: geography} + - {column: D, row: 8015, expected_value: All persons, label: sex} + - {column: E, row: 8015, expected_value: Employee, label: employment type} + - {column: J, row: 8015, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8017 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8017, expected_value: E12000008, label: geography} + - {column: D, row: 8017, expected_value: All persons, label: sex} + - {column: E, row: 8017, expected_value: Employee, label: employment type} + - {column: J, row: 8017, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8019 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8019, expected_value: E12000008, label: geography} + - {column: D, row: 8019, expected_value: All persons, label: sex} + - {column: E, row: 8019, expected_value: Employee, label: employment type} + - {column: J, row: 8019, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8021 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8021, expected_value: E12000008, label: geography} + - {column: D, row: 8021, expected_value: All persons, label: sex} + - {column: E, row: 8021, expected_value: Employee, label: employment type} + - {column: J, row: 8021, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8023 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8023, expected_value: E12000008, label: geography} + - {column: D, row: 8023, expected_value: All persons, label: sex} + - {column: E, row: 8023, expected_value: Employee, label: employment type} + - {column: J, row: 8023, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8025 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8025, expected_value: E12000008, label: geography} + - {column: D, row: 8025, expected_value: All persons, label: sex} + - {column: E, row: 8025, expected_value: Employee, label: employment type} + - {column: J, row: 8025, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8027 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8027, expected_value: E12000008, label: geography} + - {column: D, row: 8027, expected_value: All persons, label: sex} + - {column: E, row: 8027, expected_value: Employee, label: employment type} + - {column: J, row: 8027, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8029 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8029, expected_value: E12000008, label: geography} + - {column: D, row: 8029, expected_value: All persons, label: sex} + - {column: E, row: 8029, expected_value: Employee, label: employment type} + - {column: J, row: 8029, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8031 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8031, expected_value: E12000008, label: geography} + - {column: D, row: 8031, expected_value: All persons, label: sex} + - {column: E, row: 8031, expected_value: Employee, label: employment type} + - {column: J, row: 8031, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8033 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8033, expected_value: E12000008, label: geography} + - {column: D, row: 8033, expected_value: All persons, label: sex} + - {column: E, row: 8033, expected_value: Employee, label: employment type} + - {column: J, row: 8033, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8035 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8035, expected_value: E12000008, label: geography} + - {column: D, row: 8035, expected_value: All persons, label: sex} + - {column: E, row: 8035, expected_value: Employee, label: employment type} + - {column: J, row: 8035, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8037 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8037, expected_value: E12000008, label: geography} + - {column: D, row: 8037, expected_value: All persons, label: sex} + - {column: E, row: 8037, expected_value: Employee, label: employment type} + - {column: J, row: 8037, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8039 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8039, expected_value: E12000008, label: geography} + - {column: D, row: 8039, expected_value: All persons, label: sex} + - {column: E, row: 8039, expected_value: Employee, label: employment type} + - {column: J, row: 8039, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8041 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8041, expected_value: E12000008, label: geography} + - {column: D, row: 8041, expected_value: All persons, label: sex} + - {column: E, row: 8041, expected_value: Employee, label: employment type} + - {column: J, row: 8041, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8043 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8043, expected_value: E12000008, label: geography} + - {column: D, row: 8043, expected_value: All persons, label: sex} + - {column: E, row: 8043, expected_value: Employee, label: employment type} + - {column: J, row: 8043, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8045 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8045, expected_value: E12000008, label: geography} + - {column: D, row: 8045, expected_value: All persons, label: sex} + - {column: E, row: 8045, expected_value: Employee, label: employment type} + - {column: J, row: 8045, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8047 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8047, expected_value: E12000008, label: geography} + - {column: D, row: 8047, expected_value: All persons, label: sex} + - {column: E, row: 8047, expected_value: Employee, label: employment type} + - {column: J, row: 8047, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8049 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8049, expected_value: E12000008, label: geography} + - {column: D, row: 8049, expected_value: All persons, label: sex} + - {column: E, row: 8049, expected_value: Employee, label: employment type} + - {column: J, row: 8049, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8051 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8051, expected_value: E12000008, label: geography} + - {column: D, row: 8051, expected_value: All persons, label: sex} + - {column: E, row: 8051, expected_value: Employee, label: employment type} + - {column: J, row: 8051, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8053 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8053, expected_value: E12000008, label: geography} + - {column: D, row: 8053, expected_value: All persons, label: sex} + - {column: E, row: 8053, expected_value: Employee, label: employment type} + - {column: J, row: 8053, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8055 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8055, expected_value: E12000008, label: geography} + - {column: D, row: 8055, expected_value: All persons, label: sex} + - {column: E, row: 8055, expected_value: Employee, label: employment type} + - {column: J, row: 8055, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8057 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8057, expected_value: E12000008, label: geography} + - {column: D, row: 8057, expected_value: All persons, label: sex} + - {column: E, row: 8057, expected_value: Employee, label: employment type} + - {column: J, row: 8057, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8059 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8059, expected_value: E12000008, label: geography} + - {column: D, row: 8059, expected_value: All persons, label: sex} + - {column: E, row: 8059, expected_value: Employee, label: employment type} + - {column: J, row: 8059, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8061 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8061, expected_value: E12000008, label: geography} + - {column: D, row: 8061, expected_value: All persons, label: sex} + - {column: E, row: 8061, expected_value: Employee, label: employment type} + - {column: J, row: 8061, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8063 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8063, expected_value: E12000008, label: geography} + - {column: D, row: 8063, expected_value: All persons, label: sex} + - {column: E, row: 8063, expected_value: Employee, label: employment type} + - {column: J, row: 8063, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8065 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8065, expected_value: E12000008, label: geography} + - {column: D, row: 8065, expected_value: All persons, label: sex} + - {column: E, row: 8065, expected_value: Employee, label: employment type} + - {column: J, row: 8065, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8210 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8210, expected_value: E12000008, label: geography} + - {column: D, row: 8210, expected_value: All persons, label: sex} + - {column: E, row: 8210, expected_value: Self-employed, label: employment type} + - {column: J, row: 8210, expected_value: Value, label: measure} + - {column: L, row: 8211, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8212 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8212, expected_value: E12000008, label: geography} + - {column: D, row: 8212, expected_value: All persons, label: sex} + - {column: E, row: 8212, expected_value: Self-employed, label: employment type} + - {column: J, row: 8212, expected_value: Value, label: measure} + - {column: L, row: 8213, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8214 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8214, expected_value: E12000008, label: geography} + - {column: D, row: 8214, expected_value: All persons, label: sex} + - {column: E, row: 8214, expected_value: Self-employed, label: employment type} + - {column: J, row: 8214, expected_value: Value, label: measure} + - {column: L, row: 8215, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8216 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8216, expected_value: E12000008, label: geography} + - {column: D, row: 8216, expected_value: All persons, label: sex} + - {column: E, row: 8216, expected_value: Self-employed, label: employment type} + - {column: J, row: 8216, expected_value: Value, label: measure} + - {column: L, row: 8217, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8218 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8218, expected_value: E12000008, label: geography} + - {column: D, row: 8218, expected_value: All persons, label: sex} + - {column: E, row: 8218, expected_value: Self-employed, label: employment type} + - {column: J, row: 8218, expected_value: Value, label: measure} + - {column: L, row: 8219, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8220 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8220, expected_value: E12000008, label: geography} + - {column: D, row: 8220, expected_value: All persons, label: sex} + - {column: E, row: 8220, expected_value: Self-employed, label: employment type} + - {column: J, row: 8220, expected_value: Value, label: measure} + - {column: L, row: 8221, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8222 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8222, expected_value: E12000008, label: geography} + - {column: D, row: 8222, expected_value: All persons, label: sex} + - {column: E, row: 8222, expected_value: Self-employed, label: employment type} + - {column: J, row: 8222, expected_value: Value, label: measure} + - {column: L, row: 8223, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8224 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8224, expected_value: E12000008, label: geography} + - {column: D, row: 8224, expected_value: All persons, label: sex} + - {column: E, row: 8224, expected_value: Self-employed, label: employment type} + - {column: J, row: 8224, expected_value: Value, label: measure} + - {column: L, row: 8225, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8226 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8226, expected_value: E12000008, label: geography} + - {column: D, row: 8226, expected_value: All persons, label: sex} + - {column: E, row: 8226, expected_value: Self-employed, label: employment type} + - {column: J, row: 8226, expected_value: Value, label: measure} + - {column: L, row: 8227, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8228 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8228, expected_value: E12000008, label: geography} + - {column: D, row: 8228, expected_value: All persons, label: sex} + - {column: E, row: 8228, expected_value: Self-employed, label: employment type} + - {column: J, row: 8228, expected_value: Value, label: measure} + - {column: L, row: 8229, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8230 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8230, expected_value: E12000008, label: geography} + - {column: D, row: 8230, expected_value: All persons, label: sex} + - {column: E, row: 8230, expected_value: Self-employed, label: employment type} + - {column: J, row: 8230, expected_value: Value, label: measure} + - {column: L, row: 8231, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8232 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8232, expected_value: E12000008, label: geography} + - {column: D, row: 8232, expected_value: All persons, label: sex} + - {column: E, row: 8232, expected_value: Self-employed, label: employment type} + - {column: J, row: 8232, expected_value: Value, label: measure} + - {column: L, row: 8233, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8234 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8234, expected_value: E12000008, label: geography} + - {column: D, row: 8234, expected_value: All persons, label: sex} + - {column: E, row: 8234, expected_value: Self-employed, label: employment type} + - {column: J, row: 8234, expected_value: Value, label: measure} + - {column: L, row: 8235, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8236 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8236, expected_value: E12000008, label: geography} + - {column: D, row: 8236, expected_value: All persons, label: sex} + - {column: E, row: 8236, expected_value: Self-employed, label: employment type} + - {column: J, row: 8236, expected_value: Value, label: measure} + - {column: L, row: 8237, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8238 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8238, expected_value: E12000008, label: geography} + - {column: D, row: 8238, expected_value: All persons, label: sex} + - {column: E, row: 8238, expected_value: Self-employed, label: employment type} + - {column: J, row: 8238, expected_value: Value, label: measure} + - {column: L, row: 8239, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8240 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8240, expected_value: E12000008, label: geography} + - {column: D, row: 8240, expected_value: All persons, label: sex} + - {column: E, row: 8240, expected_value: Self-employed, label: employment type} + - {column: J, row: 8240, expected_value: Value, label: measure} + - {column: L, row: 8241, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8242 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8242, expected_value: E12000008, label: geography} + - {column: D, row: 8242, expected_value: All persons, label: sex} + - {column: E, row: 8242, expected_value: Self-employed, label: employment type} + - {column: J, row: 8242, expected_value: Value, label: measure} + - {column: L, row: 8243, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8244 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8244, expected_value: E12000008, label: geography} + - {column: D, row: 8244, expected_value: All persons, label: sex} + - {column: E, row: 8244, expected_value: Self-employed, label: employment type} + - {column: J, row: 8244, expected_value: Value, label: measure} + - {column: L, row: 8245, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8246 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8246, expected_value: E12000008, label: geography} + - {column: D, row: 8246, expected_value: All persons, label: sex} + - {column: E, row: 8246, expected_value: Self-employed, label: employment type} + - {column: J, row: 8246, expected_value: Value, label: measure} + - {column: L, row: 8247, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8248 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8248, expected_value: E12000008, label: geography} + - {column: D, row: 8248, expected_value: All persons, label: sex} + - {column: E, row: 8248, expected_value: Self-employed, label: employment type} + - {column: J, row: 8248, expected_value: Value, label: measure} + - {column: L, row: 8249, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8250 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8250, expected_value: E12000008, label: geography} + - {column: D, row: 8250, expected_value: All persons, label: sex} + - {column: E, row: 8250, expected_value: Self-employed, label: employment type} + - {column: J, row: 8250, expected_value: Value, label: measure} + - {column: L, row: 8251, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8252 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8252, expected_value: E12000008, label: geography} + - {column: D, row: 8252, expected_value: All persons, label: sex} + - {column: E, row: 8252, expected_value: Self-employed, label: employment type} + - {column: J, row: 8252, expected_value: Value, label: measure} + - {column: L, row: 8253, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8254 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8254, expected_value: E12000008, label: geography} + - {column: D, row: 8254, expected_value: All persons, label: sex} + - {column: E, row: 8254, expected_value: Self-employed, label: employment type} + - {column: J, row: 8254, expected_value: Value, label: measure} + - {column: L, row: 8255, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8256 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8256, expected_value: E12000008, label: geography} + - {column: D, row: 8256, expected_value: All persons, label: sex} + - {column: E, row: 8256, expected_value: Self-employed, label: employment type} + - {column: J, row: 8256, expected_value: Value, label: measure} + - {column: L, row: 8257, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8258 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8258, expected_value: E12000008, label: geography} + - {column: D, row: 8258, expected_value: All persons, label: sex} + - {column: E, row: 8258, expected_value: Self-employed, label: employment type} + - {column: J, row: 8258, expected_value: Value, label: measure} + - {column: L, row: 8259, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8260 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8260, expected_value: E12000008, label: geography} + - {column: D, row: 8260, expected_value: All persons, label: sex} + - {column: E, row: 8260, expected_value: Self-employed, label: employment type} + - {column: J, row: 8260, expected_value: Value, label: measure} + - {column: L, row: 8261, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8264 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8264, expected_value: E12000008, label: geography} + - {column: D, row: 8264, expected_value: All persons, label: sex} + - {column: E, row: 8264, expected_value: Self-employed, label: employment type} + - {column: J, row: 8264, expected_value: Value, label: measure} + - {column: L, row: 8265, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8266 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8266, expected_value: E12000008, label: geography} + - {column: D, row: 8266, expected_value: All persons, label: sex} + - {column: E, row: 8266, expected_value: Self-employed, label: employment type} + - {column: J, row: 8266, expected_value: Value, label: measure} + - {column: L, row: 8267, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8268 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8268, expected_value: E12000008, label: geography} + - {column: D, row: 8268, expected_value: All persons, label: sex} + - {column: E, row: 8268, expected_value: Self-employed, label: employment type} + - {column: J, row: 8268, expected_value: Value, label: measure} + - {column: L, row: 8269, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8270 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8270, expected_value: E12000008, label: geography} + - {column: D, row: 8270, expected_value: All persons, label: sex} + - {column: E, row: 8270, expected_value: Self-employed, label: employment type} + - {column: J, row: 8270, expected_value: Value, label: measure} + - {column: L, row: 8271, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8272 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8272, expected_value: E12000008, label: geography} + - {column: D, row: 8272, expected_value: All persons, label: sex} + - {column: E, row: 8272, expected_value: Self-employed, label: employment type} + - {column: J, row: 8272, expected_value: Value, label: measure} + - {column: L, row: 8273, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8274 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8274, expected_value: E12000008, label: geography} + - {column: D, row: 8274, expected_value: All persons, label: sex} + - {column: E, row: 8274, expected_value: Self-employed, label: employment type} + - {column: J, row: 8274, expected_value: Value, label: measure} + - {column: L, row: 8275, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8276 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8276, expected_value: E12000008, label: geography} + - {column: D, row: 8276, expected_value: All persons, label: sex} + - {column: E, row: 8276, expected_value: Self-employed, label: employment type} + - {column: J, row: 8276, expected_value: Value, label: measure} + - {column: L, row: 8277, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8278 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8278, expected_value: E12000008, label: geography} + - {column: D, row: 8278, expected_value: All persons, label: sex} + - {column: E, row: 8278, expected_value: Self-employed, label: employment type} + - {column: J, row: 8278, expected_value: Value, label: measure} + - {column: L, row: 8279, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8280 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8280, expected_value: E12000008, label: geography} + - {column: D, row: 8280, expected_value: All persons, label: sex} + - {column: E, row: 8280, expected_value: Self-employed, label: employment type} + - {column: J, row: 8280, expected_value: Value, label: measure} + - {column: L, row: 8281, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8211 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8211, expected_value: E12000008, label: geography} + - {column: D, row: 8211, expected_value: All persons, label: sex} + - {column: E, row: 8211, expected_value: Self-employed, label: employment type} + - {column: J, row: 8211, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8213 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8213, expected_value: E12000008, label: geography} + - {column: D, row: 8213, expected_value: All persons, label: sex} + - {column: E, row: 8213, expected_value: Self-employed, label: employment type} + - {column: J, row: 8213, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8215 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8215, expected_value: E12000008, label: geography} + - {column: D, row: 8215, expected_value: All persons, label: sex} + - {column: E, row: 8215, expected_value: Self-employed, label: employment type} + - {column: J, row: 8215, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8217 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8217, expected_value: E12000008, label: geography} + - {column: D, row: 8217, expected_value: All persons, label: sex} + - {column: E, row: 8217, expected_value: Self-employed, label: employment type} + - {column: J, row: 8217, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8219 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8219, expected_value: E12000008, label: geography} + - {column: D, row: 8219, expected_value: All persons, label: sex} + - {column: E, row: 8219, expected_value: Self-employed, label: employment type} + - {column: J, row: 8219, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8221 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8221, expected_value: E12000008, label: geography} + - {column: D, row: 8221, expected_value: All persons, label: sex} + - {column: E, row: 8221, expected_value: Self-employed, label: employment type} + - {column: J, row: 8221, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8223 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8223, expected_value: E12000008, label: geography} + - {column: D, row: 8223, expected_value: All persons, label: sex} + - {column: E, row: 8223, expected_value: Self-employed, label: employment type} + - {column: J, row: 8223, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8225 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8225, expected_value: E12000008, label: geography} + - {column: D, row: 8225, expected_value: All persons, label: sex} + - {column: E, row: 8225, expected_value: Self-employed, label: employment type} + - {column: J, row: 8225, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8227 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8227, expected_value: E12000008, label: geography} + - {column: D, row: 8227, expected_value: All persons, label: sex} + - {column: E, row: 8227, expected_value: Self-employed, label: employment type} + - {column: J, row: 8227, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8229 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8229, expected_value: E12000008, label: geography} + - {column: D, row: 8229, expected_value: All persons, label: sex} + - {column: E, row: 8229, expected_value: Self-employed, label: employment type} + - {column: J, row: 8229, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8231 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8231, expected_value: E12000008, label: geography} + - {column: D, row: 8231, expected_value: All persons, label: sex} + - {column: E, row: 8231, expected_value: Self-employed, label: employment type} + - {column: J, row: 8231, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8233 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8233, expected_value: E12000008, label: geography} + - {column: D, row: 8233, expected_value: All persons, label: sex} + - {column: E, row: 8233, expected_value: Self-employed, label: employment type} + - {column: J, row: 8233, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8237 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8237, expected_value: E12000008, label: geography} + - {column: D, row: 8237, expected_value: All persons, label: sex} + - {column: E, row: 8237, expected_value: Self-employed, label: employment type} + - {column: J, row: 8237, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8239 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8239, expected_value: E12000008, label: geography} + - {column: D, row: 8239, expected_value: All persons, label: sex} + - {column: E, row: 8239, expected_value: Self-employed, label: employment type} + - {column: J, row: 8239, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8241 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8241, expected_value: E12000008, label: geography} + - {column: D, row: 8241, expected_value: All persons, label: sex} + - {column: E, row: 8241, expected_value: Self-employed, label: employment type} + - {column: J, row: 8241, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8243 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8243, expected_value: E12000008, label: geography} + - {column: D, row: 8243, expected_value: All persons, label: sex} + - {column: E, row: 8243, expected_value: Self-employed, label: employment type} + - {column: J, row: 8243, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8245 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8245, expected_value: E12000008, label: geography} + - {column: D, row: 8245, expected_value: All persons, label: sex} + - {column: E, row: 8245, expected_value: Self-employed, label: employment type} + - {column: J, row: 8245, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8247 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8247, expected_value: E12000008, label: geography} + - {column: D, row: 8247, expected_value: All persons, label: sex} + - {column: E, row: 8247, expected_value: Self-employed, label: employment type} + - {column: J, row: 8247, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8249 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8249, expected_value: E12000008, label: geography} + - {column: D, row: 8249, expected_value: All persons, label: sex} + - {column: E, row: 8249, expected_value: Self-employed, label: employment type} + - {column: J, row: 8249, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8251 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8251, expected_value: E12000008, label: geography} + - {column: D, row: 8251, expected_value: All persons, label: sex} + - {column: E, row: 8251, expected_value: Self-employed, label: employment type} + - {column: J, row: 8251, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8253 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8253, expected_value: E12000008, label: geography} + - {column: D, row: 8253, expected_value: All persons, label: sex} + - {column: E, row: 8253, expected_value: Self-employed, label: employment type} + - {column: J, row: 8253, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8255 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8255, expected_value: E12000008, label: geography} + - {column: D, row: 8255, expected_value: All persons, label: sex} + - {column: E, row: 8255, expected_value: Self-employed, label: employment type} + - {column: J, row: 8255, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8257 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8257, expected_value: E12000008, label: geography} + - {column: D, row: 8257, expected_value: All persons, label: sex} + - {column: E, row: 8257, expected_value: Self-employed, label: employment type} + - {column: J, row: 8257, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8259 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8259, expected_value: E12000008, label: geography} + - {column: D, row: 8259, expected_value: All persons, label: sex} + - {column: E, row: 8259, expected_value: Self-employed, label: employment type} + - {column: J, row: 8259, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8261 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8261, expected_value: E12000008, label: geography} + - {column: D, row: 8261, expected_value: All persons, label: sex} + - {column: E, row: 8261, expected_value: Self-employed, label: employment type} + - {column: J, row: 8261, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8265 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8265, expected_value: E12000008, label: geography} + - {column: D, row: 8265, expected_value: All persons, label: sex} + - {column: E, row: 8265, expected_value: Self-employed, label: employment type} + - {column: J, row: 8265, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8267 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8267, expected_value: E12000008, label: geography} + - {column: D, row: 8267, expected_value: All persons, label: sex} + - {column: E, row: 8267, expected_value: Self-employed, label: employment type} + - {column: J, row: 8267, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8271 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8271, expected_value: E12000008, label: geography} + - {column: D, row: 8271, expected_value: All persons, label: sex} + - {column: E, row: 8271, expected_value: Self-employed, label: employment type} + - {column: J, row: 8271, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8273 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8273, expected_value: E12000008, label: geography} + - {column: D, row: 8273, expected_value: All persons, label: sex} + - {column: E, row: 8273, expected_value: Self-employed, label: employment type} + - {column: J, row: 8273, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8275 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8275, expected_value: E12000008, label: geography} + - {column: D, row: 8275, expected_value: All persons, label: sex} + - {column: E, row: 8275, expected_value: Self-employed, label: employment type} + - {column: J, row: 8275, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8277 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8277, expected_value: E12000008, label: geography} + - {column: D, row: 8277, expected_value: All persons, label: sex} + - {column: E, row: 8277, expected_value: Self-employed, label: employment type} + - {column: J, row: 8277, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8279 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8279, expected_value: E12000008, label: geography} + - {column: D, row: 8279, expected_value: All persons, label: sex} + - {column: E, row: 8279, expected_value: Self-employed, label: employment type} + - {column: J, row: 8279, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8281 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8281, expected_value: E12000008, label: geography} + - {column: D, row: 8281, expected_value: All persons, label: sex} + - {column: E, row: 8281, expected_value: Self-employed, label: employment type} + - {column: J, row: 8281, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7850 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7850, expected_value: E12000008, label: geography} + - {column: D, row: 7850, expected_value: Males, label: sex} + - {column: E, row: 7850, expected_value: Total, label: employment type} + - {column: J, row: 7850, expected_value: Value, label: measure} + - {column: L, row: 7851, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7852 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7852, expected_value: E12000008, label: geography} + - {column: D, row: 7852, expected_value: Males, label: sex} + - {column: E, row: 7852, expected_value: Total, label: employment type} + - {column: J, row: 7852, expected_value: Value, label: measure} + - {column: L, row: 7853, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7854 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7854, expected_value: E12000008, label: geography} + - {column: D, row: 7854, expected_value: Males, label: sex} + - {column: E, row: 7854, expected_value: Total, label: employment type} + - {column: J, row: 7854, expected_value: Value, label: measure} + - {column: L, row: 7855, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7856 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7856, expected_value: E12000008, label: geography} + - {column: D, row: 7856, expected_value: Males, label: sex} + - {column: E, row: 7856, expected_value: Total, label: employment type} + - {column: J, row: 7856, expected_value: Value, label: measure} + - {column: L, row: 7857, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7858 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7858, expected_value: E12000008, label: geography} + - {column: D, row: 7858, expected_value: Males, label: sex} + - {column: E, row: 7858, expected_value: Total, label: employment type} + - {column: J, row: 7858, expected_value: Value, label: measure} + - {column: L, row: 7859, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7860 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7860, expected_value: E12000008, label: geography} + - {column: D, row: 7860, expected_value: Males, label: sex} + - {column: E, row: 7860, expected_value: Total, label: employment type} + - {column: J, row: 7860, expected_value: Value, label: measure} + - {column: L, row: 7861, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7862 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7862, expected_value: E12000008, label: geography} + - {column: D, row: 7862, expected_value: Males, label: sex} + - {column: E, row: 7862, expected_value: Total, label: employment type} + - {column: J, row: 7862, expected_value: Value, label: measure} + - {column: L, row: 7863, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7864 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7864, expected_value: E12000008, label: geography} + - {column: D, row: 7864, expected_value: Males, label: sex} + - {column: E, row: 7864, expected_value: Total, label: employment type} + - {column: J, row: 7864, expected_value: Value, label: measure} + - {column: L, row: 7865, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7866 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7866, expected_value: E12000008, label: geography} + - {column: D, row: 7866, expected_value: Males, label: sex} + - {column: E, row: 7866, expected_value: Total, label: employment type} + - {column: J, row: 7866, expected_value: Value, label: measure} + - {column: L, row: 7867, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7868 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7868, expected_value: E12000008, label: geography} + - {column: D, row: 7868, expected_value: Males, label: sex} + - {column: E, row: 7868, expected_value: Total, label: employment type} + - {column: J, row: 7868, expected_value: Value, label: measure} + - {column: L, row: 7869, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7870 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7870, expected_value: E12000008, label: geography} + - {column: D, row: 7870, expected_value: Males, label: sex} + - {column: E, row: 7870, expected_value: Total, label: employment type} + - {column: J, row: 7870, expected_value: Value, label: measure} + - {column: L, row: 7871, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7872 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7872, expected_value: E12000008, label: geography} + - {column: D, row: 7872, expected_value: Males, label: sex} + - {column: E, row: 7872, expected_value: Total, label: employment type} + - {column: J, row: 7872, expected_value: Value, label: measure} + - {column: L, row: 7873, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7874 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7874, expected_value: E12000008, label: geography} + - {column: D, row: 7874, expected_value: Males, label: sex} + - {column: E, row: 7874, expected_value: Total, label: employment type} + - {column: J, row: 7874, expected_value: Value, label: measure} + - {column: L, row: 7875, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7876 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7876, expected_value: E12000008, label: geography} + - {column: D, row: 7876, expected_value: Males, label: sex} + - {column: E, row: 7876, expected_value: Total, label: employment type} + - {column: J, row: 7876, expected_value: Value, label: measure} + - {column: L, row: 7877, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7878 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7878, expected_value: E12000008, label: geography} + - {column: D, row: 7878, expected_value: Males, label: sex} + - {column: E, row: 7878, expected_value: Total, label: employment type} + - {column: J, row: 7878, expected_value: Value, label: measure} + - {column: L, row: 7879, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7880 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7880, expected_value: E12000008, label: geography} + - {column: D, row: 7880, expected_value: Males, label: sex} + - {column: E, row: 7880, expected_value: Total, label: employment type} + - {column: J, row: 7880, expected_value: Value, label: measure} + - {column: L, row: 7881, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7882 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7882, expected_value: E12000008, label: geography} + - {column: D, row: 7882, expected_value: Males, label: sex} + - {column: E, row: 7882, expected_value: Total, label: employment type} + - {column: J, row: 7882, expected_value: Value, label: measure} + - {column: L, row: 7883, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7884 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7884, expected_value: E12000008, label: geography} + - {column: D, row: 7884, expected_value: Males, label: sex} + - {column: E, row: 7884, expected_value: Total, label: employment type} + - {column: J, row: 7884, expected_value: Value, label: measure} + - {column: L, row: 7885, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7886 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7886, expected_value: E12000008, label: geography} + - {column: D, row: 7886, expected_value: Males, label: sex} + - {column: E, row: 7886, expected_value: Total, label: employment type} + - {column: J, row: 7886, expected_value: Value, label: measure} + - {column: L, row: 7887, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7888 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7888, expected_value: E12000008, label: geography} + - {column: D, row: 7888, expected_value: Males, label: sex} + - {column: E, row: 7888, expected_value: Total, label: employment type} + - {column: J, row: 7888, expected_value: Value, label: measure} + - {column: L, row: 7889, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7890 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7890, expected_value: E12000008, label: geography} + - {column: D, row: 7890, expected_value: Males, label: sex} + - {column: E, row: 7890, expected_value: Total, label: employment type} + - {column: J, row: 7890, expected_value: Value, label: measure} + - {column: L, row: 7891, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7892 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7892, expected_value: E12000008, label: geography} + - {column: D, row: 7892, expected_value: Males, label: sex} + - {column: E, row: 7892, expected_value: Total, label: employment type} + - {column: J, row: 7892, expected_value: Value, label: measure} + - {column: L, row: 7893, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7894 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7894, expected_value: E12000008, label: geography} + - {column: D, row: 7894, expected_value: Males, label: sex} + - {column: E, row: 7894, expected_value: Total, label: employment type} + - {column: J, row: 7894, expected_value: Value, label: measure} + - {column: L, row: 7895, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7896 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7896, expected_value: E12000008, label: geography} + - {column: D, row: 7896, expected_value: Males, label: sex} + - {column: E, row: 7896, expected_value: Total, label: employment type} + - {column: J, row: 7896, expected_value: Value, label: measure} + - {column: L, row: 7897, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7898 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7898, expected_value: E12000008, label: geography} + - {column: D, row: 7898, expected_value: Males, label: sex} + - {column: E, row: 7898, expected_value: Total, label: employment type} + - {column: J, row: 7898, expected_value: Value, label: measure} + - {column: L, row: 7899, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7900 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7900, expected_value: E12000008, label: geography} + - {column: D, row: 7900, expected_value: Males, label: sex} + - {column: E, row: 7900, expected_value: Total, label: employment type} + - {column: J, row: 7900, expected_value: Value, label: measure} + - {column: L, row: 7901, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7902 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7902, expected_value: E12000008, label: geography} + - {column: D, row: 7902, expected_value: Males, label: sex} + - {column: E, row: 7902, expected_value: Total, label: employment type} + - {column: J, row: 7902, expected_value: Value, label: measure} + - {column: L, row: 7903, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7904 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7904, expected_value: E12000008, label: geography} + - {column: D, row: 7904, expected_value: Males, label: sex} + - {column: E, row: 7904, expected_value: Total, label: employment type} + - {column: J, row: 7904, expected_value: Value, label: measure} + - {column: L, row: 7905, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7906 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7906, expected_value: E12000008, label: geography} + - {column: D, row: 7906, expected_value: Males, label: sex} + - {column: E, row: 7906, expected_value: Total, label: employment type} + - {column: J, row: 7906, expected_value: Value, label: measure} + - {column: L, row: 7907, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7908 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7908, expected_value: E12000008, label: geography} + - {column: D, row: 7908, expected_value: Males, label: sex} + - {column: E, row: 7908, expected_value: Total, label: employment type} + - {column: J, row: 7908, expected_value: Value, label: measure} + - {column: L, row: 7909, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7910 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7910, expected_value: E12000008, label: geography} + - {column: D, row: 7910, expected_value: Males, label: sex} + - {column: E, row: 7910, expected_value: Total, label: employment type} + - {column: J, row: 7910, expected_value: Value, label: measure} + - {column: L, row: 7911, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7912 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7912, expected_value: E12000008, label: geography} + - {column: D, row: 7912, expected_value: Males, label: sex} + - {column: E, row: 7912, expected_value: Total, label: employment type} + - {column: J, row: 7912, expected_value: Value, label: measure} + - {column: L, row: 7913, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7914 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7914, expected_value: E12000008, label: geography} + - {column: D, row: 7914, expected_value: Males, label: sex} + - {column: E, row: 7914, expected_value: Total, label: employment type} + - {column: J, row: 7914, expected_value: Value, label: measure} + - {column: L, row: 7915, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7916 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7916, expected_value: E12000008, label: geography} + - {column: D, row: 7916, expected_value: Males, label: sex} + - {column: E, row: 7916, expected_value: Total, label: employment type} + - {column: J, row: 7916, expected_value: Value, label: measure} + - {column: L, row: 7917, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7918 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7918, expected_value: E12000008, label: geography} + - {column: D, row: 7918, expected_value: Males, label: sex} + - {column: E, row: 7918, expected_value: Total, label: employment type} + - {column: J, row: 7918, expected_value: Value, label: measure} + - {column: L, row: 7919, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7920 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7920, expected_value: E12000008, label: geography} + - {column: D, row: 7920, expected_value: Males, label: sex} + - {column: E, row: 7920, expected_value: Total, label: employment type} + - {column: J, row: 7920, expected_value: Value, label: measure} + - {column: L, row: 7921, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7851 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7851, expected_value: E12000008, label: geography} + - {column: D, row: 7851, expected_value: Males, label: sex} + - {column: E, row: 7851, expected_value: Total, label: employment type} + - {column: J, row: 7851, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7853 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7853, expected_value: E12000008, label: geography} + - {column: D, row: 7853, expected_value: Males, label: sex} + - {column: E, row: 7853, expected_value: Total, label: employment type} + - {column: J, row: 7853, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7855 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7855, expected_value: E12000008, label: geography} + - {column: D, row: 7855, expected_value: Males, label: sex} + - {column: E, row: 7855, expected_value: Total, label: employment type} + - {column: J, row: 7855, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7857 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7857, expected_value: E12000008, label: geography} + - {column: D, row: 7857, expected_value: Males, label: sex} + - {column: E, row: 7857, expected_value: Total, label: employment type} + - {column: J, row: 7857, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7859 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7859, expected_value: E12000008, label: geography} + - {column: D, row: 7859, expected_value: Males, label: sex} + - {column: E, row: 7859, expected_value: Total, label: employment type} + - {column: J, row: 7859, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7861 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7861, expected_value: E12000008, label: geography} + - {column: D, row: 7861, expected_value: Males, label: sex} + - {column: E, row: 7861, expected_value: Total, label: employment type} + - {column: J, row: 7861, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7863 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7863, expected_value: E12000008, label: geography} + - {column: D, row: 7863, expected_value: Males, label: sex} + - {column: E, row: 7863, expected_value: Total, label: employment type} + - {column: J, row: 7863, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7865 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7865, expected_value: E12000008, label: geography} + - {column: D, row: 7865, expected_value: Males, label: sex} + - {column: E, row: 7865, expected_value: Total, label: employment type} + - {column: J, row: 7865, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7867 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7867, expected_value: E12000008, label: geography} + - {column: D, row: 7867, expected_value: Males, label: sex} + - {column: E, row: 7867, expected_value: Total, label: employment type} + - {column: J, row: 7867, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7869 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7869, expected_value: E12000008, label: geography} + - {column: D, row: 7869, expected_value: Males, label: sex} + - {column: E, row: 7869, expected_value: Total, label: employment type} + - {column: J, row: 7869, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7871 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7871, expected_value: E12000008, label: geography} + - {column: D, row: 7871, expected_value: Males, label: sex} + - {column: E, row: 7871, expected_value: Total, label: employment type} + - {column: J, row: 7871, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7873 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7873, expected_value: E12000008, label: geography} + - {column: D, row: 7873, expected_value: Males, label: sex} + - {column: E, row: 7873, expected_value: Total, label: employment type} + - {column: J, row: 7873, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7875 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7875, expected_value: E12000008, label: geography} + - {column: D, row: 7875, expected_value: Males, label: sex} + - {column: E, row: 7875, expected_value: Total, label: employment type} + - {column: J, row: 7875, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7877 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7877, expected_value: E12000008, label: geography} + - {column: D, row: 7877, expected_value: Males, label: sex} + - {column: E, row: 7877, expected_value: Total, label: employment type} + - {column: J, row: 7877, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7879 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7879, expected_value: E12000008, label: geography} + - {column: D, row: 7879, expected_value: Males, label: sex} + - {column: E, row: 7879, expected_value: Total, label: employment type} + - {column: J, row: 7879, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7881 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7881, expected_value: E12000008, label: geography} + - {column: D, row: 7881, expected_value: Males, label: sex} + - {column: E, row: 7881, expected_value: Total, label: employment type} + - {column: J, row: 7881, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7883 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7883, expected_value: E12000008, label: geography} + - {column: D, row: 7883, expected_value: Males, label: sex} + - {column: E, row: 7883, expected_value: Total, label: employment type} + - {column: J, row: 7883, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7887 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7887, expected_value: E12000008, label: geography} + - {column: D, row: 7887, expected_value: Males, label: sex} + - {column: E, row: 7887, expected_value: Total, label: employment type} + - {column: J, row: 7887, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7889 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7889, expected_value: E12000008, label: geography} + - {column: D, row: 7889, expected_value: Males, label: sex} + - {column: E, row: 7889, expected_value: Total, label: employment type} + - {column: J, row: 7889, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7891 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7891, expected_value: E12000008, label: geography} + - {column: D, row: 7891, expected_value: Males, label: sex} + - {column: E, row: 7891, expected_value: Total, label: employment type} + - {column: J, row: 7891, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7893 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7893, expected_value: E12000008, label: geography} + - {column: D, row: 7893, expected_value: Males, label: sex} + - {column: E, row: 7893, expected_value: Total, label: employment type} + - {column: J, row: 7893, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7895 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7895, expected_value: E12000008, label: geography} + - {column: D, row: 7895, expected_value: Males, label: sex} + - {column: E, row: 7895, expected_value: Total, label: employment type} + - {column: J, row: 7895, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7897 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7897, expected_value: E12000008, label: geography} + - {column: D, row: 7897, expected_value: Males, label: sex} + - {column: E, row: 7897, expected_value: Total, label: employment type} + - {column: J, row: 7897, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7899 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7899, expected_value: E12000008, label: geography} + - {column: D, row: 7899, expected_value: Males, label: sex} + - {column: E, row: 7899, expected_value: Total, label: employment type} + - {column: J, row: 7899, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7901 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7901, expected_value: E12000008, label: geography} + - {column: D, row: 7901, expected_value: Males, label: sex} + - {column: E, row: 7901, expected_value: Total, label: employment type} + - {column: J, row: 7901, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7905 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7905, expected_value: E12000008, label: geography} + - {column: D, row: 7905, expected_value: Males, label: sex} + - {column: E, row: 7905, expected_value: Total, label: employment type} + - {column: J, row: 7905, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7907 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7907, expected_value: E12000008, label: geography} + - {column: D, row: 7907, expected_value: Males, label: sex} + - {column: E, row: 7907, expected_value: Total, label: employment type} + - {column: J, row: 7907, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7909 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7909, expected_value: E12000008, label: geography} + - {column: D, row: 7909, expected_value: Males, label: sex} + - {column: E, row: 7909, expected_value: Total, label: employment type} + - {column: J, row: 7909, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7911 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7911, expected_value: E12000008, label: geography} + - {column: D, row: 7911, expected_value: Males, label: sex} + - {column: E, row: 7911, expected_value: Total, label: employment type} + - {column: J, row: 7911, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7913 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7913, expected_value: E12000008, label: geography} + - {column: D, row: 7913, expected_value: Males, label: sex} + - {column: E, row: 7913, expected_value: Total, label: employment type} + - {column: J, row: 7913, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7915 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7915, expected_value: E12000008, label: geography} + - {column: D, row: 7915, expected_value: Males, label: sex} + - {column: E, row: 7915, expected_value: Total, label: employment type} + - {column: J, row: 7915, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7917 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7917, expected_value: E12000008, label: geography} + - {column: D, row: 7917, expected_value: Males, label: sex} + - {column: E, row: 7917, expected_value: Total, label: employment type} + - {column: J, row: 7917, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7919 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7919, expected_value: E12000008, label: geography} + - {column: D, row: 7919, expected_value: Males, label: sex} + - {column: E, row: 7919, expected_value: Total, label: employment type} + - {column: J, row: 7919, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7921 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7921, expected_value: E12000008, label: geography} + - {column: D, row: 7921, expected_value: Males, label: sex} + - {column: E, row: 7921, expected_value: Total, label: employment type} + - {column: J, row: 7921, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8066 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8066, expected_value: E12000008, label: geography} + - {column: D, row: 8066, expected_value: Males, label: sex} + - {column: E, row: 8066, expected_value: Employee, label: employment type} + - {column: J, row: 8066, expected_value: Value, label: measure} + - {column: L, row: 8067, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8068 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8068, expected_value: E12000008, label: geography} + - {column: D, row: 8068, expected_value: Males, label: sex} + - {column: E, row: 8068, expected_value: Employee, label: employment type} + - {column: J, row: 8068, expected_value: Value, label: measure} + - {column: L, row: 8069, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8070 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8070, expected_value: E12000008, label: geography} + - {column: D, row: 8070, expected_value: Males, label: sex} + - {column: E, row: 8070, expected_value: Employee, label: employment type} + - {column: J, row: 8070, expected_value: Value, label: measure} + - {column: L, row: 8071, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8072 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8072, expected_value: E12000008, label: geography} + - {column: D, row: 8072, expected_value: Males, label: sex} + - {column: E, row: 8072, expected_value: Employee, label: employment type} + - {column: J, row: 8072, expected_value: Value, label: measure} + - {column: L, row: 8073, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8074 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8074, expected_value: E12000008, label: geography} + - {column: D, row: 8074, expected_value: Males, label: sex} + - {column: E, row: 8074, expected_value: Employee, label: employment type} + - {column: J, row: 8074, expected_value: Value, label: measure} + - {column: L, row: 8075, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8076 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8076, expected_value: E12000008, label: geography} + - {column: D, row: 8076, expected_value: Males, label: sex} + - {column: E, row: 8076, expected_value: Employee, label: employment type} + - {column: J, row: 8076, expected_value: Value, label: measure} + - {column: L, row: 8077, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8078 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8078, expected_value: E12000008, label: geography} + - {column: D, row: 8078, expected_value: Males, label: sex} + - {column: E, row: 8078, expected_value: Employee, label: employment type} + - {column: J, row: 8078, expected_value: Value, label: measure} + - {column: L, row: 8079, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8080 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8080, expected_value: E12000008, label: geography} + - {column: D, row: 8080, expected_value: Males, label: sex} + - {column: E, row: 8080, expected_value: Employee, label: employment type} + - {column: J, row: 8080, expected_value: Value, label: measure} + - {column: L, row: 8081, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8082 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8082, expected_value: E12000008, label: geography} + - {column: D, row: 8082, expected_value: Males, label: sex} + - {column: E, row: 8082, expected_value: Employee, label: employment type} + - {column: J, row: 8082, expected_value: Value, label: measure} + - {column: L, row: 8083, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8084 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8084, expected_value: E12000008, label: geography} + - {column: D, row: 8084, expected_value: Males, label: sex} + - {column: E, row: 8084, expected_value: Employee, label: employment type} + - {column: J, row: 8084, expected_value: Value, label: measure} + - {column: L, row: 8085, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8086 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8086, expected_value: E12000008, label: geography} + - {column: D, row: 8086, expected_value: Males, label: sex} + - {column: E, row: 8086, expected_value: Employee, label: employment type} + - {column: J, row: 8086, expected_value: Value, label: measure} + - {column: L, row: 8087, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8088 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8088, expected_value: E12000008, label: geography} + - {column: D, row: 8088, expected_value: Males, label: sex} + - {column: E, row: 8088, expected_value: Employee, label: employment type} + - {column: J, row: 8088, expected_value: Value, label: measure} + - {column: L, row: 8089, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8090 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8090, expected_value: E12000008, label: geography} + - {column: D, row: 8090, expected_value: Males, label: sex} + - {column: E, row: 8090, expected_value: Employee, label: employment type} + - {column: J, row: 8090, expected_value: Value, label: measure} + - {column: L, row: 8091, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8092 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8092, expected_value: E12000008, label: geography} + - {column: D, row: 8092, expected_value: Males, label: sex} + - {column: E, row: 8092, expected_value: Employee, label: employment type} + - {column: J, row: 8092, expected_value: Value, label: measure} + - {column: L, row: 8093, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8094 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8094, expected_value: E12000008, label: geography} + - {column: D, row: 8094, expected_value: Males, label: sex} + - {column: E, row: 8094, expected_value: Employee, label: employment type} + - {column: J, row: 8094, expected_value: Value, label: measure} + - {column: L, row: 8095, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8096 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8096, expected_value: E12000008, label: geography} + - {column: D, row: 8096, expected_value: Males, label: sex} + - {column: E, row: 8096, expected_value: Employee, label: employment type} + - {column: J, row: 8096, expected_value: Value, label: measure} + - {column: L, row: 8097, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8098 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8098, expected_value: E12000008, label: geography} + - {column: D, row: 8098, expected_value: Males, label: sex} + - {column: E, row: 8098, expected_value: Employee, label: employment type} + - {column: J, row: 8098, expected_value: Value, label: measure} + - {column: L, row: 8099, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8100 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8100, expected_value: E12000008, label: geography} + - {column: D, row: 8100, expected_value: Males, label: sex} + - {column: E, row: 8100, expected_value: Employee, label: employment type} + - {column: J, row: 8100, expected_value: Value, label: measure} + - {column: L, row: 8101, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8102 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8102, expected_value: E12000008, label: geography} + - {column: D, row: 8102, expected_value: Males, label: sex} + - {column: E, row: 8102, expected_value: Employee, label: employment type} + - {column: J, row: 8102, expected_value: Value, label: measure} + - {column: L, row: 8103, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8104 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8104, expected_value: E12000008, label: geography} + - {column: D, row: 8104, expected_value: Males, label: sex} + - {column: E, row: 8104, expected_value: Employee, label: employment type} + - {column: J, row: 8104, expected_value: Value, label: measure} + - {column: L, row: 8105, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8106 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8106, expected_value: E12000008, label: geography} + - {column: D, row: 8106, expected_value: Males, label: sex} + - {column: E, row: 8106, expected_value: Employee, label: employment type} + - {column: J, row: 8106, expected_value: Value, label: measure} + - {column: L, row: 8107, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8108 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8108, expected_value: E12000008, label: geography} + - {column: D, row: 8108, expected_value: Males, label: sex} + - {column: E, row: 8108, expected_value: Employee, label: employment type} + - {column: J, row: 8108, expected_value: Value, label: measure} + - {column: L, row: 8109, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8110 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8110, expected_value: E12000008, label: geography} + - {column: D, row: 8110, expected_value: Males, label: sex} + - {column: E, row: 8110, expected_value: Employee, label: employment type} + - {column: J, row: 8110, expected_value: Value, label: measure} + - {column: L, row: 8111, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8112 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8112, expected_value: E12000008, label: geography} + - {column: D, row: 8112, expected_value: Males, label: sex} + - {column: E, row: 8112, expected_value: Employee, label: employment type} + - {column: J, row: 8112, expected_value: Value, label: measure} + - {column: L, row: 8113, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8114 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8114, expected_value: E12000008, label: geography} + - {column: D, row: 8114, expected_value: Males, label: sex} + - {column: E, row: 8114, expected_value: Employee, label: employment type} + - {column: J, row: 8114, expected_value: Value, label: measure} + - {column: L, row: 8115, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8116 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8116, expected_value: E12000008, label: geography} + - {column: D, row: 8116, expected_value: Males, label: sex} + - {column: E, row: 8116, expected_value: Employee, label: employment type} + - {column: J, row: 8116, expected_value: Value, label: measure} + - {column: L, row: 8117, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8118 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8118, expected_value: E12000008, label: geography} + - {column: D, row: 8118, expected_value: Males, label: sex} + - {column: E, row: 8118, expected_value: Employee, label: employment type} + - {column: J, row: 8118, expected_value: Value, label: measure} + - {column: L, row: 8119, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8120 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8120, expected_value: E12000008, label: geography} + - {column: D, row: 8120, expected_value: Males, label: sex} + - {column: E, row: 8120, expected_value: Employee, label: employment type} + - {column: J, row: 8120, expected_value: Value, label: measure} + - {column: L, row: 8121, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8122 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8122, expected_value: E12000008, label: geography} + - {column: D, row: 8122, expected_value: Males, label: sex} + - {column: E, row: 8122, expected_value: Employee, label: employment type} + - {column: J, row: 8122, expected_value: Value, label: measure} + - {column: L, row: 8123, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8124 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8124, expected_value: E12000008, label: geography} + - {column: D, row: 8124, expected_value: Males, label: sex} + - {column: E, row: 8124, expected_value: Employee, label: employment type} + - {column: J, row: 8124, expected_value: Value, label: measure} + - {column: L, row: 8125, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8126 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8126, expected_value: E12000008, label: geography} + - {column: D, row: 8126, expected_value: Males, label: sex} + - {column: E, row: 8126, expected_value: Employee, label: employment type} + - {column: J, row: 8126, expected_value: Value, label: measure} + - {column: L, row: 8127, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8128 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8128, expected_value: E12000008, label: geography} + - {column: D, row: 8128, expected_value: Males, label: sex} + - {column: E, row: 8128, expected_value: Employee, label: employment type} + - {column: J, row: 8128, expected_value: Value, label: measure} + - {column: L, row: 8129, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8130 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8130, expected_value: E12000008, label: geography} + - {column: D, row: 8130, expected_value: Males, label: sex} + - {column: E, row: 8130, expected_value: Employee, label: employment type} + - {column: J, row: 8130, expected_value: Value, label: measure} + - {column: L, row: 8131, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8132 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8132, expected_value: E12000008, label: geography} + - {column: D, row: 8132, expected_value: Males, label: sex} + - {column: E, row: 8132, expected_value: Employee, label: employment type} + - {column: J, row: 8132, expected_value: Value, label: measure} + - {column: L, row: 8133, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8134 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8134, expected_value: E12000008, label: geography} + - {column: D, row: 8134, expected_value: Males, label: sex} + - {column: E, row: 8134, expected_value: Employee, label: employment type} + - {column: J, row: 8134, expected_value: Value, label: measure} + - {column: L, row: 8135, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8136 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8136, expected_value: E12000008, label: geography} + - {column: D, row: 8136, expected_value: Males, label: sex} + - {column: E, row: 8136, expected_value: Employee, label: employment type} + - {column: J, row: 8136, expected_value: Value, label: measure} + - {column: L, row: 8137, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8067 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8067, expected_value: E12000008, label: geography} + - {column: D, row: 8067, expected_value: Males, label: sex} + - {column: E, row: 8067, expected_value: Employee, label: employment type} + - {column: J, row: 8067, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8069 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8069, expected_value: E12000008, label: geography} + - {column: D, row: 8069, expected_value: Males, label: sex} + - {column: E, row: 8069, expected_value: Employee, label: employment type} + - {column: J, row: 8069, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8071 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8071, expected_value: E12000008, label: geography} + - {column: D, row: 8071, expected_value: Males, label: sex} + - {column: E, row: 8071, expected_value: Employee, label: employment type} + - {column: J, row: 8071, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8073 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8073, expected_value: E12000008, label: geography} + - {column: D, row: 8073, expected_value: Males, label: sex} + - {column: E, row: 8073, expected_value: Employee, label: employment type} + - {column: J, row: 8073, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8075 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8075, expected_value: E12000008, label: geography} + - {column: D, row: 8075, expected_value: Males, label: sex} + - {column: E, row: 8075, expected_value: Employee, label: employment type} + - {column: J, row: 8075, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8077 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8077, expected_value: E12000008, label: geography} + - {column: D, row: 8077, expected_value: Males, label: sex} + - {column: E, row: 8077, expected_value: Employee, label: employment type} + - {column: J, row: 8077, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8079 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8079, expected_value: E12000008, label: geography} + - {column: D, row: 8079, expected_value: Males, label: sex} + - {column: E, row: 8079, expected_value: Employee, label: employment type} + - {column: J, row: 8079, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8081 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8081, expected_value: E12000008, label: geography} + - {column: D, row: 8081, expected_value: Males, label: sex} + - {column: E, row: 8081, expected_value: Employee, label: employment type} + - {column: J, row: 8081, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8083 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8083, expected_value: E12000008, label: geography} + - {column: D, row: 8083, expected_value: Males, label: sex} + - {column: E, row: 8083, expected_value: Employee, label: employment type} + - {column: J, row: 8083, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8085 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8085, expected_value: E12000008, label: geography} + - {column: D, row: 8085, expected_value: Males, label: sex} + - {column: E, row: 8085, expected_value: Employee, label: employment type} + - {column: J, row: 8085, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8087 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8087, expected_value: E12000008, label: geography} + - {column: D, row: 8087, expected_value: Males, label: sex} + - {column: E, row: 8087, expected_value: Employee, label: employment type} + - {column: J, row: 8087, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8089 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8089, expected_value: E12000008, label: geography} + - {column: D, row: 8089, expected_value: Males, label: sex} + - {column: E, row: 8089, expected_value: Employee, label: employment type} + - {column: J, row: 8089, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8091 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8091, expected_value: E12000008, label: geography} + - {column: D, row: 8091, expected_value: Males, label: sex} + - {column: E, row: 8091, expected_value: Employee, label: employment type} + - {column: J, row: 8091, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8093 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8093, expected_value: E12000008, label: geography} + - {column: D, row: 8093, expected_value: Males, label: sex} + - {column: E, row: 8093, expected_value: Employee, label: employment type} + - {column: J, row: 8093, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8095 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8095, expected_value: E12000008, label: geography} + - {column: D, row: 8095, expected_value: Males, label: sex} + - {column: E, row: 8095, expected_value: Employee, label: employment type} + - {column: J, row: 8095, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8097 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8097, expected_value: E12000008, label: geography} + - {column: D, row: 8097, expected_value: Males, label: sex} + - {column: E, row: 8097, expected_value: Employee, label: employment type} + - {column: J, row: 8097, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8099 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8099, expected_value: E12000008, label: geography} + - {column: D, row: 8099, expected_value: Males, label: sex} + - {column: E, row: 8099, expected_value: Employee, label: employment type} + - {column: J, row: 8099, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8103 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8103, expected_value: E12000008, label: geography} + - {column: D, row: 8103, expected_value: Males, label: sex} + - {column: E, row: 8103, expected_value: Employee, label: employment type} + - {column: J, row: 8103, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8105 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8105, expected_value: E12000008, label: geography} + - {column: D, row: 8105, expected_value: Males, label: sex} + - {column: E, row: 8105, expected_value: Employee, label: employment type} + - {column: J, row: 8105, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8107 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8107, expected_value: E12000008, label: geography} + - {column: D, row: 8107, expected_value: Males, label: sex} + - {column: E, row: 8107, expected_value: Employee, label: employment type} + - {column: J, row: 8107, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8109 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8109, expected_value: E12000008, label: geography} + - {column: D, row: 8109, expected_value: Males, label: sex} + - {column: E, row: 8109, expected_value: Employee, label: employment type} + - {column: J, row: 8109, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8111 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8111, expected_value: E12000008, label: geography} + - {column: D, row: 8111, expected_value: Males, label: sex} + - {column: E, row: 8111, expected_value: Employee, label: employment type} + - {column: J, row: 8111, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8113 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8113, expected_value: E12000008, label: geography} + - {column: D, row: 8113, expected_value: Males, label: sex} + - {column: E, row: 8113, expected_value: Employee, label: employment type} + - {column: J, row: 8113, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8115 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8115, expected_value: E12000008, label: geography} + - {column: D, row: 8115, expected_value: Males, label: sex} + - {column: E, row: 8115, expected_value: Employee, label: employment type} + - {column: J, row: 8115, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8117 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8117, expected_value: E12000008, label: geography} + - {column: D, row: 8117, expected_value: Males, label: sex} + - {column: E, row: 8117, expected_value: Employee, label: employment type} + - {column: J, row: 8117, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8121 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8121, expected_value: E12000008, label: geography} + - {column: D, row: 8121, expected_value: Males, label: sex} + - {column: E, row: 8121, expected_value: Employee, label: employment type} + - {column: J, row: 8121, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8123 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8123, expected_value: E12000008, label: geography} + - {column: D, row: 8123, expected_value: Males, label: sex} + - {column: E, row: 8123, expected_value: Employee, label: employment type} + - {column: J, row: 8123, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8125 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8125, expected_value: E12000008, label: geography} + - {column: D, row: 8125, expected_value: Males, label: sex} + - {column: E, row: 8125, expected_value: Employee, label: employment type} + - {column: J, row: 8125, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8127 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8127, expected_value: E12000008, label: geography} + - {column: D, row: 8127, expected_value: Males, label: sex} + - {column: E, row: 8127, expected_value: Employee, label: employment type} + - {column: J, row: 8127, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8129 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8129, expected_value: E12000008, label: geography} + - {column: D, row: 8129, expected_value: Males, label: sex} + - {column: E, row: 8129, expected_value: Employee, label: employment type} + - {column: J, row: 8129, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8131 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8131, expected_value: E12000008, label: geography} + - {column: D, row: 8131, expected_value: Males, label: sex} + - {column: E, row: 8131, expected_value: Employee, label: employment type} + - {column: J, row: 8131, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8133 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8133, expected_value: E12000008, label: geography} + - {column: D, row: 8133, expected_value: Males, label: sex} + - {column: E, row: 8133, expected_value: Employee, label: employment type} + - {column: J, row: 8133, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8135 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8135, expected_value: E12000008, label: geography} + - {column: D, row: 8135, expected_value: Males, label: sex} + - {column: E, row: 8135, expected_value: Employee, label: employment type} + - {column: J, row: 8135, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8137 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8137, expected_value: E12000008, label: geography} + - {column: D, row: 8137, expected_value: Males, label: sex} + - {column: E, row: 8137, expected_value: Employee, label: employment type} + - {column: J, row: 8137, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8282 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8282, expected_value: E12000008, label: geography} + - {column: D, row: 8282, expected_value: Males, label: sex} + - {column: E, row: 8282, expected_value: Self-employed, label: employment type} + - {column: J, row: 8282, expected_value: Value, label: measure} + - {column: L, row: 8283, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8284 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8284, expected_value: E12000008, label: geography} + - {column: D, row: 8284, expected_value: Males, label: sex} + - {column: E, row: 8284, expected_value: Self-employed, label: employment type} + - {column: J, row: 8284, expected_value: Value, label: measure} + - {column: L, row: 8285, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8286 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8286, expected_value: E12000008, label: geography} + - {column: D, row: 8286, expected_value: Males, label: sex} + - {column: E, row: 8286, expected_value: Self-employed, label: employment type} + - {column: J, row: 8286, expected_value: Value, label: measure} + - {column: L, row: 8287, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8288 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8288, expected_value: E12000008, label: geography} + - {column: D, row: 8288, expected_value: Males, label: sex} + - {column: E, row: 8288, expected_value: Self-employed, label: employment type} + - {column: J, row: 8288, expected_value: Value, label: measure} + - {column: L, row: 8289, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8290 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8290, expected_value: E12000008, label: geography} + - {column: D, row: 8290, expected_value: Males, label: sex} + - {column: E, row: 8290, expected_value: Self-employed, label: employment type} + - {column: J, row: 8290, expected_value: Value, label: measure} + - {column: L, row: 8291, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8292 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8292, expected_value: E12000008, label: geography} + - {column: D, row: 8292, expected_value: Males, label: sex} + - {column: E, row: 8292, expected_value: Self-employed, label: employment type} + - {column: J, row: 8292, expected_value: Value, label: measure} + - {column: L, row: 8293, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8294 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8294, expected_value: E12000008, label: geography} + - {column: D, row: 8294, expected_value: Males, label: sex} + - {column: E, row: 8294, expected_value: Self-employed, label: employment type} + - {column: J, row: 8294, expected_value: Value, label: measure} + - {column: L, row: 8295, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8296 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8296, expected_value: E12000008, label: geography} + - {column: D, row: 8296, expected_value: Males, label: sex} + - {column: E, row: 8296, expected_value: Self-employed, label: employment type} + - {column: J, row: 8296, expected_value: Value, label: measure} + - {column: L, row: 8297, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8298 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8298, expected_value: E12000008, label: geography} + - {column: D, row: 8298, expected_value: Males, label: sex} + - {column: E, row: 8298, expected_value: Self-employed, label: employment type} + - {column: J, row: 8298, expected_value: Value, label: measure} + - {column: L, row: 8299, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8300 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8300, expected_value: E12000008, label: geography} + - {column: D, row: 8300, expected_value: Males, label: sex} + - {column: E, row: 8300, expected_value: Self-employed, label: employment type} + - {column: J, row: 8300, expected_value: Value, label: measure} + - {column: L, row: 8301, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8302 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8302, expected_value: E12000008, label: geography} + - {column: D, row: 8302, expected_value: Males, label: sex} + - {column: E, row: 8302, expected_value: Self-employed, label: employment type} + - {column: J, row: 8302, expected_value: Value, label: measure} + - {column: L, row: 8303, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8304 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8304, expected_value: E12000008, label: geography} + - {column: D, row: 8304, expected_value: Males, label: sex} + - {column: E, row: 8304, expected_value: Self-employed, label: employment type} + - {column: J, row: 8304, expected_value: Value, label: measure} + - {column: L, row: 8305, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8306 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8306, expected_value: E12000008, label: geography} + - {column: D, row: 8306, expected_value: Males, label: sex} + - {column: E, row: 8306, expected_value: Self-employed, label: employment type} + - {column: J, row: 8306, expected_value: Value, label: measure} + - {column: L, row: 8307, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8308 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8308, expected_value: E12000008, label: geography} + - {column: D, row: 8308, expected_value: Males, label: sex} + - {column: E, row: 8308, expected_value: Self-employed, label: employment type} + - {column: J, row: 8308, expected_value: Value, label: measure} + - {column: L, row: 8309, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8310 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8310, expected_value: E12000008, label: geography} + - {column: D, row: 8310, expected_value: Males, label: sex} + - {column: E, row: 8310, expected_value: Self-employed, label: employment type} + - {column: J, row: 8310, expected_value: Value, label: measure} + - {column: L, row: 8311, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8312 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8312, expected_value: E12000008, label: geography} + - {column: D, row: 8312, expected_value: Males, label: sex} + - {column: E, row: 8312, expected_value: Self-employed, label: employment type} + - {column: J, row: 8312, expected_value: Value, label: measure} + - {column: L, row: 8313, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8314 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8314, expected_value: E12000008, label: geography} + - {column: D, row: 8314, expected_value: Males, label: sex} + - {column: E, row: 8314, expected_value: Self-employed, label: employment type} + - {column: J, row: 8314, expected_value: Value, label: measure} + - {column: L, row: 8315, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8318 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8318, expected_value: E12000008, label: geography} + - {column: D, row: 8318, expected_value: Males, label: sex} + - {column: E, row: 8318, expected_value: Self-employed, label: employment type} + - {column: J, row: 8318, expected_value: Value, label: measure} + - {column: L, row: 8319, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8320 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8320, expected_value: E12000008, label: geography} + - {column: D, row: 8320, expected_value: Males, label: sex} + - {column: E, row: 8320, expected_value: Self-employed, label: employment type} + - {column: J, row: 8320, expected_value: Value, label: measure} + - {column: L, row: 8321, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8322 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8322, expected_value: E12000008, label: geography} + - {column: D, row: 8322, expected_value: Males, label: sex} + - {column: E, row: 8322, expected_value: Self-employed, label: employment type} + - {column: J, row: 8322, expected_value: Value, label: measure} + - {column: L, row: 8323, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8324 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8324, expected_value: E12000008, label: geography} + - {column: D, row: 8324, expected_value: Males, label: sex} + - {column: E, row: 8324, expected_value: Self-employed, label: employment type} + - {column: J, row: 8324, expected_value: Value, label: measure} + - {column: L, row: 8325, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8326 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8326, expected_value: E12000008, label: geography} + - {column: D, row: 8326, expected_value: Males, label: sex} + - {column: E, row: 8326, expected_value: Self-employed, label: employment type} + - {column: J, row: 8326, expected_value: Value, label: measure} + - {column: L, row: 8327, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8328 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8328, expected_value: E12000008, label: geography} + - {column: D, row: 8328, expected_value: Males, label: sex} + - {column: E, row: 8328, expected_value: Self-employed, label: employment type} + - {column: J, row: 8328, expected_value: Value, label: measure} + - {column: L, row: 8329, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8330 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8330, expected_value: E12000008, label: geography} + - {column: D, row: 8330, expected_value: Males, label: sex} + - {column: E, row: 8330, expected_value: Self-employed, label: employment type} + - {column: J, row: 8330, expected_value: Value, label: measure} + - {column: L, row: 8331, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8332 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8332, expected_value: E12000008, label: geography} + - {column: D, row: 8332, expected_value: Males, label: sex} + - {column: E, row: 8332, expected_value: Self-employed, label: employment type} + - {column: J, row: 8332, expected_value: Value, label: measure} + - {column: L, row: 8333, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8336 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8336, expected_value: E12000008, label: geography} + - {column: D, row: 8336, expected_value: Males, label: sex} + - {column: E, row: 8336, expected_value: Self-employed, label: employment type} + - {column: J, row: 8336, expected_value: Value, label: measure} + - {column: L, row: 8337, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8338 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8338, expected_value: E12000008, label: geography} + - {column: D, row: 8338, expected_value: Males, label: sex} + - {column: E, row: 8338, expected_value: Self-employed, label: employment type} + - {column: J, row: 8338, expected_value: Value, label: measure} + - {column: L, row: 8339, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8342 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8342, expected_value: E12000008, label: geography} + - {column: D, row: 8342, expected_value: Males, label: sex} + - {column: E, row: 8342, expected_value: Self-employed, label: employment type} + - {column: J, row: 8342, expected_value: Value, label: measure} + - {column: L, row: 8343, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8344 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8344, expected_value: E12000008, label: geography} + - {column: D, row: 8344, expected_value: Males, label: sex} + - {column: E, row: 8344, expected_value: Self-employed, label: employment type} + - {column: J, row: 8344, expected_value: Value, label: measure} + - {column: L, row: 8345, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8346 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8346, expected_value: E12000008, label: geography} + - {column: D, row: 8346, expected_value: Males, label: sex} + - {column: E, row: 8346, expected_value: Self-employed, label: employment type} + - {column: J, row: 8346, expected_value: Value, label: measure} + - {column: L, row: 8347, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8348 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8348, expected_value: E12000008, label: geography} + - {column: D, row: 8348, expected_value: Males, label: sex} + - {column: E, row: 8348, expected_value: Self-employed, label: employment type} + - {column: J, row: 8348, expected_value: Value, label: measure} + - {column: L, row: 8349, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8350 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8350, expected_value: E12000008, label: geography} + - {column: D, row: 8350, expected_value: Males, label: sex} + - {column: E, row: 8350, expected_value: Self-employed, label: employment type} + - {column: J, row: 8350, expected_value: Value, label: measure} + - {column: L, row: 8351, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8352 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8352, expected_value: E12000008, label: geography} + - {column: D, row: 8352, expected_value: Males, label: sex} + - {column: E, row: 8352, expected_value: Self-employed, label: employment type} + - {column: J, row: 8352, expected_value: Value, label: measure} + - {column: L, row: 8353, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8283 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8283, expected_value: E12000008, label: geography} + - {column: D, row: 8283, expected_value: Males, label: sex} + - {column: E, row: 8283, expected_value: Self-employed, label: employment type} + - {column: J, row: 8283, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8285 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8285, expected_value: E12000008, label: geography} + - {column: D, row: 8285, expected_value: Males, label: sex} + - {column: E, row: 8285, expected_value: Self-employed, label: employment type} + - {column: J, row: 8285, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8287 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8287, expected_value: E12000008, label: geography} + - {column: D, row: 8287, expected_value: Males, label: sex} + - {column: E, row: 8287, expected_value: Self-employed, label: employment type} + - {column: J, row: 8287, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8289 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8289, expected_value: E12000008, label: geography} + - {column: D, row: 8289, expected_value: Males, label: sex} + - {column: E, row: 8289, expected_value: Self-employed, label: employment type} + - {column: J, row: 8289, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8291 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8291, expected_value: E12000008, label: geography} + - {column: D, row: 8291, expected_value: Males, label: sex} + - {column: E, row: 8291, expected_value: Self-employed, label: employment type} + - {column: J, row: 8291, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8293 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8293, expected_value: E12000008, label: geography} + - {column: D, row: 8293, expected_value: Males, label: sex} + - {column: E, row: 8293, expected_value: Self-employed, label: employment type} + - {column: J, row: 8293, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8295 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8295, expected_value: E12000008, label: geography} + - {column: D, row: 8295, expected_value: Males, label: sex} + - {column: E, row: 8295, expected_value: Self-employed, label: employment type} + - {column: J, row: 8295, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8297 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8297, expected_value: E12000008, label: geography} + - {column: D, row: 8297, expected_value: Males, label: sex} + - {column: E, row: 8297, expected_value: Self-employed, label: employment type} + - {column: J, row: 8297, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8299 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8299, expected_value: E12000008, label: geography} + - {column: D, row: 8299, expected_value: Males, label: sex} + - {column: E, row: 8299, expected_value: Self-employed, label: employment type} + - {column: J, row: 8299, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8301 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8301, expected_value: E12000008, label: geography} + - {column: D, row: 8301, expected_value: Males, label: sex} + - {column: E, row: 8301, expected_value: Self-employed, label: employment type} + - {column: J, row: 8301, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8309 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8309, expected_value: E12000008, label: geography} + - {column: D, row: 8309, expected_value: Males, label: sex} + - {column: E, row: 8309, expected_value: Self-employed, label: employment type} + - {column: J, row: 8309, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8311 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8311, expected_value: E12000008, label: geography} + - {column: D, row: 8311, expected_value: Males, label: sex} + - {column: E, row: 8311, expected_value: Self-employed, label: employment type} + - {column: J, row: 8311, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8313 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8313, expected_value: E12000008, label: geography} + - {column: D, row: 8313, expected_value: Males, label: sex} + - {column: E, row: 8313, expected_value: Self-employed, label: employment type} + - {column: J, row: 8313, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8315 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8315, expected_value: E12000008, label: geography} + - {column: D, row: 8315, expected_value: Males, label: sex} + - {column: E, row: 8315, expected_value: Self-employed, label: employment type} + - {column: J, row: 8315, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8319 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8319, expected_value: E12000008, label: geography} + - {column: D, row: 8319, expected_value: Males, label: sex} + - {column: E, row: 8319, expected_value: Self-employed, label: employment type} + - {column: J, row: 8319, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8321 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8321, expected_value: E12000008, label: geography} + - {column: D, row: 8321, expected_value: Males, label: sex} + - {column: E, row: 8321, expected_value: Self-employed, label: employment type} + - {column: J, row: 8321, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8323 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8323, expected_value: E12000008, label: geography} + - {column: D, row: 8323, expected_value: Males, label: sex} + - {column: E, row: 8323, expected_value: Self-employed, label: employment type} + - {column: J, row: 8323, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8325 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8325, expected_value: E12000008, label: geography} + - {column: D, row: 8325, expected_value: Males, label: sex} + - {column: E, row: 8325, expected_value: Self-employed, label: employment type} + - {column: J, row: 8325, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8327 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8327, expected_value: E12000008, label: geography} + - {column: D, row: 8327, expected_value: Males, label: sex} + - {column: E, row: 8327, expected_value: Self-employed, label: employment type} + - {column: J, row: 8327, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8329 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8329, expected_value: E12000008, label: geography} + - {column: D, row: 8329, expected_value: Males, label: sex} + - {column: E, row: 8329, expected_value: Self-employed, label: employment type} + - {column: J, row: 8329, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8331 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8331, expected_value: E12000008, label: geography} + - {column: D, row: 8331, expected_value: Males, label: sex} + - {column: E, row: 8331, expected_value: Self-employed, label: employment type} + - {column: J, row: 8331, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8337 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8337, expected_value: E12000008, label: geography} + - {column: D, row: 8337, expected_value: Males, label: sex} + - {column: E, row: 8337, expected_value: Self-employed, label: employment type} + - {column: J, row: 8337, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8339 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8339, expected_value: E12000008, label: geography} + - {column: D, row: 8339, expected_value: Males, label: sex} + - {column: E, row: 8339, expected_value: Self-employed, label: employment type} + - {column: J, row: 8339, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8343 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8343, expected_value: E12000008, label: geography} + - {column: D, row: 8343, expected_value: Males, label: sex} + - {column: E, row: 8343, expected_value: Self-employed, label: employment type} + - {column: J, row: 8343, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8345 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8345, expected_value: E12000008, label: geography} + - {column: D, row: 8345, expected_value: Males, label: sex} + - {column: E, row: 8345, expected_value: Self-employed, label: employment type} + - {column: J, row: 8345, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8347 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8347, expected_value: E12000008, label: geography} + - {column: D, row: 8347, expected_value: Males, label: sex} + - {column: E, row: 8347, expected_value: Self-employed, label: employment type} + - {column: J, row: 8347, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8349 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8349, expected_value: E12000008, label: geography} + - {column: D, row: 8349, expected_value: Males, label: sex} + - {column: E, row: 8349, expected_value: Self-employed, label: employment type} + - {column: J, row: 8349, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8351 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8351, expected_value: E12000008, label: geography} + - {column: D, row: 8351, expected_value: Males, label: sex} + - {column: E, row: 8351, expected_value: Self-employed, label: employment type} + - {column: J, row: 8351, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8353 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8353, expected_value: E12000008, label: geography} + - {column: D, row: 8353, expected_value: Males, label: sex} + - {column: E, row: 8353, expected_value: Self-employed, label: employment type} + - {column: J, row: 8353, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7922 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7922, expected_value: E12000008, label: geography} + - {column: D, row: 7922, expected_value: Females, label: sex} + - {column: E, row: 7922, expected_value: Total, label: employment type} + - {column: J, row: 7922, expected_value: Value, label: measure} + - {column: L, row: 7923, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7924 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7924, expected_value: E12000008, label: geography} + - {column: D, row: 7924, expected_value: Females, label: sex} + - {column: E, row: 7924, expected_value: Total, label: employment type} + - {column: J, row: 7924, expected_value: Value, label: measure} + - {column: L, row: 7925, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7926 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7926, expected_value: E12000008, label: geography} + - {column: D, row: 7926, expected_value: Females, label: sex} + - {column: E, row: 7926, expected_value: Total, label: employment type} + - {column: J, row: 7926, expected_value: Value, label: measure} + - {column: L, row: 7927, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7928 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7928, expected_value: E12000008, label: geography} + - {column: D, row: 7928, expected_value: Females, label: sex} + - {column: E, row: 7928, expected_value: Total, label: employment type} + - {column: J, row: 7928, expected_value: Value, label: measure} + - {column: L, row: 7929, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7930 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7930, expected_value: E12000008, label: geography} + - {column: D, row: 7930, expected_value: Females, label: sex} + - {column: E, row: 7930, expected_value: Total, label: employment type} + - {column: J, row: 7930, expected_value: Value, label: measure} + - {column: L, row: 7931, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7932 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7932, expected_value: E12000008, label: geography} + - {column: D, row: 7932, expected_value: Females, label: sex} + - {column: E, row: 7932, expected_value: Total, label: employment type} + - {column: J, row: 7932, expected_value: Value, label: measure} + - {column: L, row: 7933, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7934 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7934, expected_value: E12000008, label: geography} + - {column: D, row: 7934, expected_value: Females, label: sex} + - {column: E, row: 7934, expected_value: Total, label: employment type} + - {column: J, row: 7934, expected_value: Value, label: measure} + - {column: L, row: 7935, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7936 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7936, expected_value: E12000008, label: geography} + - {column: D, row: 7936, expected_value: Females, label: sex} + - {column: E, row: 7936, expected_value: Total, label: employment type} + - {column: J, row: 7936, expected_value: Value, label: measure} + - {column: L, row: 7937, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7938 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7938, expected_value: E12000008, label: geography} + - {column: D, row: 7938, expected_value: Females, label: sex} + - {column: E, row: 7938, expected_value: Total, label: employment type} + - {column: J, row: 7938, expected_value: Value, label: measure} + - {column: L, row: 7939, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7940 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7940, expected_value: E12000008, label: geography} + - {column: D, row: 7940, expected_value: Females, label: sex} + - {column: E, row: 7940, expected_value: Total, label: employment type} + - {column: J, row: 7940, expected_value: Value, label: measure} + - {column: L, row: 7941, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7942 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7942, expected_value: E12000008, label: geography} + - {column: D, row: 7942, expected_value: Females, label: sex} + - {column: E, row: 7942, expected_value: Total, label: employment type} + - {column: J, row: 7942, expected_value: Value, label: measure} + - {column: L, row: 7943, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7944 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7944, expected_value: E12000008, label: geography} + - {column: D, row: 7944, expected_value: Females, label: sex} + - {column: E, row: 7944, expected_value: Total, label: employment type} + - {column: J, row: 7944, expected_value: Value, label: measure} + - {column: L, row: 7945, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7946 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7946, expected_value: E12000008, label: geography} + - {column: D, row: 7946, expected_value: Females, label: sex} + - {column: E, row: 7946, expected_value: Total, label: employment type} + - {column: J, row: 7946, expected_value: Value, label: measure} + - {column: L, row: 7947, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7948 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7948, expected_value: E12000008, label: geography} + - {column: D, row: 7948, expected_value: Females, label: sex} + - {column: E, row: 7948, expected_value: Total, label: employment type} + - {column: J, row: 7948, expected_value: Value, label: measure} + - {column: L, row: 7949, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7950 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7950, expected_value: E12000008, label: geography} + - {column: D, row: 7950, expected_value: Females, label: sex} + - {column: E, row: 7950, expected_value: Total, label: employment type} + - {column: J, row: 7950, expected_value: Value, label: measure} + - {column: L, row: 7951, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7952 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7952, expected_value: E12000008, label: geography} + - {column: D, row: 7952, expected_value: Females, label: sex} + - {column: E, row: 7952, expected_value: Total, label: employment type} + - {column: J, row: 7952, expected_value: Value, label: measure} + - {column: L, row: 7953, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7954 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7954, expected_value: E12000008, label: geography} + - {column: D, row: 7954, expected_value: Females, label: sex} + - {column: E, row: 7954, expected_value: Total, label: employment type} + - {column: J, row: 7954, expected_value: Value, label: measure} + - {column: L, row: 7955, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7956 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7956, expected_value: E12000008, label: geography} + - {column: D, row: 7956, expected_value: Females, label: sex} + - {column: E, row: 7956, expected_value: Total, label: employment type} + - {column: J, row: 7956, expected_value: Value, label: measure} + - {column: L, row: 7957, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7958 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7958, expected_value: E12000008, label: geography} + - {column: D, row: 7958, expected_value: Females, label: sex} + - {column: E, row: 7958, expected_value: Total, label: employment type} + - {column: J, row: 7958, expected_value: Value, label: measure} + - {column: L, row: 7959, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7960 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7960, expected_value: E12000008, label: geography} + - {column: D, row: 7960, expected_value: Females, label: sex} + - {column: E, row: 7960, expected_value: Total, label: employment type} + - {column: J, row: 7960, expected_value: Value, label: measure} + - {column: L, row: 7961, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7962 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7962, expected_value: E12000008, label: geography} + - {column: D, row: 7962, expected_value: Females, label: sex} + - {column: E, row: 7962, expected_value: Total, label: employment type} + - {column: J, row: 7962, expected_value: Value, label: measure} + - {column: L, row: 7963, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7964 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7964, expected_value: E12000008, label: geography} + - {column: D, row: 7964, expected_value: Females, label: sex} + - {column: E, row: 7964, expected_value: Total, label: employment type} + - {column: J, row: 7964, expected_value: Value, label: measure} + - {column: L, row: 7965, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7966 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7966, expected_value: E12000008, label: geography} + - {column: D, row: 7966, expected_value: Females, label: sex} + - {column: E, row: 7966, expected_value: Total, label: employment type} + - {column: J, row: 7966, expected_value: Value, label: measure} + - {column: L, row: 7967, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7968 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7968, expected_value: E12000008, label: geography} + - {column: D, row: 7968, expected_value: Females, label: sex} + - {column: E, row: 7968, expected_value: Total, label: employment type} + - {column: J, row: 7968, expected_value: Value, label: measure} + - {column: L, row: 7969, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7970 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7970, expected_value: E12000008, label: geography} + - {column: D, row: 7970, expected_value: Females, label: sex} + - {column: E, row: 7970, expected_value: Total, label: employment type} + - {column: J, row: 7970, expected_value: Value, label: measure} + - {column: L, row: 7971, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7972 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7972, expected_value: E12000008, label: geography} + - {column: D, row: 7972, expected_value: Females, label: sex} + - {column: E, row: 7972, expected_value: Total, label: employment type} + - {column: J, row: 7972, expected_value: Value, label: measure} + - {column: L, row: 7973, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7974 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7974, expected_value: E12000008, label: geography} + - {column: D, row: 7974, expected_value: Females, label: sex} + - {column: E, row: 7974, expected_value: Total, label: employment type} + - {column: J, row: 7974, expected_value: Value, label: measure} + - {column: L, row: 7975, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7976 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7976, expected_value: E12000008, label: geography} + - {column: D, row: 7976, expected_value: Females, label: sex} + - {column: E, row: 7976, expected_value: Total, label: employment type} + - {column: J, row: 7976, expected_value: Value, label: measure} + - {column: L, row: 7977, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7978 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7978, expected_value: E12000008, label: geography} + - {column: D, row: 7978, expected_value: Females, label: sex} + - {column: E, row: 7978, expected_value: Total, label: employment type} + - {column: J, row: 7978, expected_value: Value, label: measure} + - {column: L, row: 7979, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7980 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7980, expected_value: E12000008, label: geography} + - {column: D, row: 7980, expected_value: Females, label: sex} + - {column: E, row: 7980, expected_value: Total, label: employment type} + - {column: J, row: 7980, expected_value: Value, label: measure} + - {column: L, row: 7981, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7982 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7982, expected_value: E12000008, label: geography} + - {column: D, row: 7982, expected_value: Females, label: sex} + - {column: E, row: 7982, expected_value: Total, label: employment type} + - {column: J, row: 7982, expected_value: Value, label: measure} + - {column: L, row: 7983, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7984 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7984, expected_value: E12000008, label: geography} + - {column: D, row: 7984, expected_value: Females, label: sex} + - {column: E, row: 7984, expected_value: Total, label: employment type} + - {column: J, row: 7984, expected_value: Value, label: measure} + - {column: L, row: 7985, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7986 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7986, expected_value: E12000008, label: geography} + - {column: D, row: 7986, expected_value: Females, label: sex} + - {column: E, row: 7986, expected_value: Total, label: employment type} + - {column: J, row: 7986, expected_value: Value, label: measure} + - {column: L, row: 7987, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7988 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7988, expected_value: E12000008, label: geography} + - {column: D, row: 7988, expected_value: Females, label: sex} + - {column: E, row: 7988, expected_value: Total, label: employment type} + - {column: J, row: 7988, expected_value: Value, label: measure} + - {column: L, row: 7989, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7990 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7990, expected_value: E12000008, label: geography} + - {column: D, row: 7990, expected_value: Females, label: sex} + - {column: E, row: 7990, expected_value: Total, label: employment type} + - {column: J, row: 7990, expected_value: Value, label: measure} + - {column: L, row: 7991, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7992 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7992, expected_value: E12000008, label: geography} + - {column: D, row: 7992, expected_value: Females, label: sex} + - {column: E, row: 7992, expected_value: Total, label: employment type} + - {column: J, row: 7992, expected_value: Value, label: measure} + - {column: L, row: 7993, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7923 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7923, expected_value: E12000008, label: geography} + - {column: D, row: 7923, expected_value: Females, label: sex} + - {column: E, row: 7923, expected_value: Total, label: employment type} + - {column: J, row: 7923, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7925 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7925, expected_value: E12000008, label: geography} + - {column: D, row: 7925, expected_value: Females, label: sex} + - {column: E, row: 7925, expected_value: Total, label: employment type} + - {column: J, row: 7925, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7927 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7927, expected_value: E12000008, label: geography} + - {column: D, row: 7927, expected_value: Females, label: sex} + - {column: E, row: 7927, expected_value: Total, label: employment type} + - {column: J, row: 7927, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7929 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7929, expected_value: E12000008, label: geography} + - {column: D, row: 7929, expected_value: Females, label: sex} + - {column: E, row: 7929, expected_value: Total, label: employment type} + - {column: J, row: 7929, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7931 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7931, expected_value: E12000008, label: geography} + - {column: D, row: 7931, expected_value: Females, label: sex} + - {column: E, row: 7931, expected_value: Total, label: employment type} + - {column: J, row: 7931, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7933 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7933, expected_value: E12000008, label: geography} + - {column: D, row: 7933, expected_value: Females, label: sex} + - {column: E, row: 7933, expected_value: Total, label: employment type} + - {column: J, row: 7933, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7935 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7935, expected_value: E12000008, label: geography} + - {column: D, row: 7935, expected_value: Females, label: sex} + - {column: E, row: 7935, expected_value: Total, label: employment type} + - {column: J, row: 7935, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7937 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7937, expected_value: E12000008, label: geography} + - {column: D, row: 7937, expected_value: Females, label: sex} + - {column: E, row: 7937, expected_value: Total, label: employment type} + - {column: J, row: 7937, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7939 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7939, expected_value: E12000008, label: geography} + - {column: D, row: 7939, expected_value: Females, label: sex} + - {column: E, row: 7939, expected_value: Total, label: employment type} + - {column: J, row: 7939, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7941 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7941, expected_value: E12000008, label: geography} + - {column: D, row: 7941, expected_value: Females, label: sex} + - {column: E, row: 7941, expected_value: Total, label: employment type} + - {column: J, row: 7941, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7943 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7943, expected_value: E12000008, label: geography} + - {column: D, row: 7943, expected_value: Females, label: sex} + - {column: E, row: 7943, expected_value: Total, label: employment type} + - {column: J, row: 7943, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7945 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7945, expected_value: E12000008, label: geography} + - {column: D, row: 7945, expected_value: Females, label: sex} + - {column: E, row: 7945, expected_value: Total, label: employment type} + - {column: J, row: 7945, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7947 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7947, expected_value: E12000008, label: geography} + - {column: D, row: 7947, expected_value: Females, label: sex} + - {column: E, row: 7947, expected_value: Total, label: employment type} + - {column: J, row: 7947, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7949 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7949, expected_value: E12000008, label: geography} + - {column: D, row: 7949, expected_value: Females, label: sex} + - {column: E, row: 7949, expected_value: Total, label: employment type} + - {column: J, row: 7949, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7951 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7951, expected_value: E12000008, label: geography} + - {column: D, row: 7951, expected_value: Females, label: sex} + - {column: E, row: 7951, expected_value: Total, label: employment type} + - {column: J, row: 7951, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7953 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7953, expected_value: E12000008, label: geography} + - {column: D, row: 7953, expected_value: Females, label: sex} + - {column: E, row: 7953, expected_value: Total, label: employment type} + - {column: J, row: 7953, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7955 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7955, expected_value: E12000008, label: geography} + - {column: D, row: 7955, expected_value: Females, label: sex} + - {column: E, row: 7955, expected_value: Total, label: employment type} + - {column: J, row: 7955, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7957 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7957, expected_value: E12000008, label: geography} + - {column: D, row: 7957, expected_value: Females, label: sex} + - {column: E, row: 7957, expected_value: Total, label: employment type} + - {column: J, row: 7957, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7959 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7959, expected_value: E12000008, label: geography} + - {column: D, row: 7959, expected_value: Females, label: sex} + - {column: E, row: 7959, expected_value: Total, label: employment type} + - {column: J, row: 7959, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7961 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7961, expected_value: E12000008, label: geography} + - {column: D, row: 7961, expected_value: Females, label: sex} + - {column: E, row: 7961, expected_value: Total, label: employment type} + - {column: J, row: 7961, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7963 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7963, expected_value: E12000008, label: geography} + - {column: D, row: 7963, expected_value: Females, label: sex} + - {column: E, row: 7963, expected_value: Total, label: employment type} + - {column: J, row: 7963, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7965 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7965, expected_value: E12000008, label: geography} + - {column: D, row: 7965, expected_value: Females, label: sex} + - {column: E, row: 7965, expected_value: Total, label: employment type} + - {column: J, row: 7965, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7967 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7967, expected_value: E12000008, label: geography} + - {column: D, row: 7967, expected_value: Females, label: sex} + - {column: E, row: 7967, expected_value: Total, label: employment type} + - {column: J, row: 7967, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7969 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7969, expected_value: E12000008, label: geography} + - {column: D, row: 7969, expected_value: Females, label: sex} + - {column: E, row: 7969, expected_value: Total, label: employment type} + - {column: J, row: 7969, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7971 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7971, expected_value: E12000008, label: geography} + - {column: D, row: 7971, expected_value: Females, label: sex} + - {column: E, row: 7971, expected_value: Total, label: employment type} + - {column: J, row: 7971, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7973 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7973, expected_value: E12000008, label: geography} + - {column: D, row: 7973, expected_value: Females, label: sex} + - {column: E, row: 7973, expected_value: Total, label: employment type} + - {column: J, row: 7973, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7977 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7977, expected_value: E12000008, label: geography} + - {column: D, row: 7977, expected_value: Females, label: sex} + - {column: E, row: 7977, expected_value: Total, label: employment type} + - {column: J, row: 7977, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7979 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7979, expected_value: E12000008, label: geography} + - {column: D, row: 7979, expected_value: Females, label: sex} + - {column: E, row: 7979, expected_value: Total, label: employment type} + - {column: J, row: 7979, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7981 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7981, expected_value: E12000008, label: geography} + - {column: D, row: 7981, expected_value: Females, label: sex} + - {column: E, row: 7981, expected_value: Total, label: employment type} + - {column: J, row: 7981, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7983 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7983, expected_value: E12000008, label: geography} + - {column: D, row: 7983, expected_value: Females, label: sex} + - {column: E, row: 7983, expected_value: Total, label: employment type} + - {column: J, row: 7983, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7985 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7985, expected_value: E12000008, label: geography} + - {column: D, row: 7985, expected_value: Females, label: sex} + - {column: E, row: 7985, expected_value: Total, label: employment type} + - {column: J, row: 7985, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7987 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7987, expected_value: E12000008, label: geography} + - {column: D, row: 7987, expected_value: Females, label: sex} + - {column: E, row: 7987, expected_value: Total, label: employment type} + - {column: J, row: 7987, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7989 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7989, expected_value: E12000008, label: geography} + - {column: D, row: 7989, expected_value: Females, label: sex} + - {column: E, row: 7989, expected_value: Total, label: employment type} + - {column: J, row: 7989, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7991 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7991, expected_value: E12000008, label: geography} + - {column: D, row: 7991, expected_value: Females, label: sex} + - {column: E, row: 7991, expected_value: Total, label: employment type} + - {column: J, row: 7991, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7993 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7993, expected_value: E12000008, label: geography} + - {column: D, row: 7993, expected_value: Females, label: sex} + - {column: E, row: 7993, expected_value: Total, label: employment type} + - {column: J, row: 7993, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8138 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8138, expected_value: E12000008, label: geography} + - {column: D, row: 8138, expected_value: Females, label: sex} + - {column: E, row: 8138, expected_value: Employee, label: employment type} + - {column: J, row: 8138, expected_value: Value, label: measure} + - {column: L, row: 8139, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8140 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8140, expected_value: E12000008, label: geography} + - {column: D, row: 8140, expected_value: Females, label: sex} + - {column: E, row: 8140, expected_value: Employee, label: employment type} + - {column: J, row: 8140, expected_value: Value, label: measure} + - {column: L, row: 8141, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8142 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8142, expected_value: E12000008, label: geography} + - {column: D, row: 8142, expected_value: Females, label: sex} + - {column: E, row: 8142, expected_value: Employee, label: employment type} + - {column: J, row: 8142, expected_value: Value, label: measure} + - {column: L, row: 8143, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8144 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8144, expected_value: E12000008, label: geography} + - {column: D, row: 8144, expected_value: Females, label: sex} + - {column: E, row: 8144, expected_value: Employee, label: employment type} + - {column: J, row: 8144, expected_value: Value, label: measure} + - {column: L, row: 8145, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8146 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8146, expected_value: E12000008, label: geography} + - {column: D, row: 8146, expected_value: Females, label: sex} + - {column: E, row: 8146, expected_value: Employee, label: employment type} + - {column: J, row: 8146, expected_value: Value, label: measure} + - {column: L, row: 8147, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8148 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8148, expected_value: E12000008, label: geography} + - {column: D, row: 8148, expected_value: Females, label: sex} + - {column: E, row: 8148, expected_value: Employee, label: employment type} + - {column: J, row: 8148, expected_value: Value, label: measure} + - {column: L, row: 8149, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8150 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8150, expected_value: E12000008, label: geography} + - {column: D, row: 8150, expected_value: Females, label: sex} + - {column: E, row: 8150, expected_value: Employee, label: employment type} + - {column: J, row: 8150, expected_value: Value, label: measure} + - {column: L, row: 8151, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8152 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8152, expected_value: E12000008, label: geography} + - {column: D, row: 8152, expected_value: Females, label: sex} + - {column: E, row: 8152, expected_value: Employee, label: employment type} + - {column: J, row: 8152, expected_value: Value, label: measure} + - {column: L, row: 8153, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8154 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8154, expected_value: E12000008, label: geography} + - {column: D, row: 8154, expected_value: Females, label: sex} + - {column: E, row: 8154, expected_value: Employee, label: employment type} + - {column: J, row: 8154, expected_value: Value, label: measure} + - {column: L, row: 8155, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8156 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8156, expected_value: E12000008, label: geography} + - {column: D, row: 8156, expected_value: Females, label: sex} + - {column: E, row: 8156, expected_value: Employee, label: employment type} + - {column: J, row: 8156, expected_value: Value, label: measure} + - {column: L, row: 8157, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8158 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8158, expected_value: E12000008, label: geography} + - {column: D, row: 8158, expected_value: Females, label: sex} + - {column: E, row: 8158, expected_value: Employee, label: employment type} + - {column: J, row: 8158, expected_value: Value, label: measure} + - {column: L, row: 8159, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8160 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8160, expected_value: E12000008, label: geography} + - {column: D, row: 8160, expected_value: Females, label: sex} + - {column: E, row: 8160, expected_value: Employee, label: employment type} + - {column: J, row: 8160, expected_value: Value, label: measure} + - {column: L, row: 8161, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8162 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8162, expected_value: E12000008, label: geography} + - {column: D, row: 8162, expected_value: Females, label: sex} + - {column: E, row: 8162, expected_value: Employee, label: employment type} + - {column: J, row: 8162, expected_value: Value, label: measure} + - {column: L, row: 8163, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8164 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8164, expected_value: E12000008, label: geography} + - {column: D, row: 8164, expected_value: Females, label: sex} + - {column: E, row: 8164, expected_value: Employee, label: employment type} + - {column: J, row: 8164, expected_value: Value, label: measure} + - {column: L, row: 8165, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8166 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8166, expected_value: E12000008, label: geography} + - {column: D, row: 8166, expected_value: Females, label: sex} + - {column: E, row: 8166, expected_value: Employee, label: employment type} + - {column: J, row: 8166, expected_value: Value, label: measure} + - {column: L, row: 8167, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8168 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8168, expected_value: E12000008, label: geography} + - {column: D, row: 8168, expected_value: Females, label: sex} + - {column: E, row: 8168, expected_value: Employee, label: employment type} + - {column: J, row: 8168, expected_value: Value, label: measure} + - {column: L, row: 8169, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8170 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8170, expected_value: E12000008, label: geography} + - {column: D, row: 8170, expected_value: Females, label: sex} + - {column: E, row: 8170, expected_value: Employee, label: employment type} + - {column: J, row: 8170, expected_value: Value, label: measure} + - {column: L, row: 8171, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8172 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8172, expected_value: E12000008, label: geography} + - {column: D, row: 8172, expected_value: Females, label: sex} + - {column: E, row: 8172, expected_value: Employee, label: employment type} + - {column: J, row: 8172, expected_value: Value, label: measure} + - {column: L, row: 8173, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8174 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8174, expected_value: E12000008, label: geography} + - {column: D, row: 8174, expected_value: Females, label: sex} + - {column: E, row: 8174, expected_value: Employee, label: employment type} + - {column: J, row: 8174, expected_value: Value, label: measure} + - {column: L, row: 8175, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8176 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8176, expected_value: E12000008, label: geography} + - {column: D, row: 8176, expected_value: Females, label: sex} + - {column: E, row: 8176, expected_value: Employee, label: employment type} + - {column: J, row: 8176, expected_value: Value, label: measure} + - {column: L, row: 8177, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8178 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8178, expected_value: E12000008, label: geography} + - {column: D, row: 8178, expected_value: Females, label: sex} + - {column: E, row: 8178, expected_value: Employee, label: employment type} + - {column: J, row: 8178, expected_value: Value, label: measure} + - {column: L, row: 8179, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8180 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8180, expected_value: E12000008, label: geography} + - {column: D, row: 8180, expected_value: Females, label: sex} + - {column: E, row: 8180, expected_value: Employee, label: employment type} + - {column: J, row: 8180, expected_value: Value, label: measure} + - {column: L, row: 8181, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8182 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8182, expected_value: E12000008, label: geography} + - {column: D, row: 8182, expected_value: Females, label: sex} + - {column: E, row: 8182, expected_value: Employee, label: employment type} + - {column: J, row: 8182, expected_value: Value, label: measure} + - {column: L, row: 8183, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8184 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8184, expected_value: E12000008, label: geography} + - {column: D, row: 8184, expected_value: Females, label: sex} + - {column: E, row: 8184, expected_value: Employee, label: employment type} + - {column: J, row: 8184, expected_value: Value, label: measure} + - {column: L, row: 8185, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8186 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8186, expected_value: E12000008, label: geography} + - {column: D, row: 8186, expected_value: Females, label: sex} + - {column: E, row: 8186, expected_value: Employee, label: employment type} + - {column: J, row: 8186, expected_value: Value, label: measure} + - {column: L, row: 8187, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8188 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8188, expected_value: E12000008, label: geography} + - {column: D, row: 8188, expected_value: Females, label: sex} + - {column: E, row: 8188, expected_value: Employee, label: employment type} + - {column: J, row: 8188, expected_value: Value, label: measure} + - {column: L, row: 8189, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8190 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8190, expected_value: E12000008, label: geography} + - {column: D, row: 8190, expected_value: Females, label: sex} + - {column: E, row: 8190, expected_value: Employee, label: employment type} + - {column: J, row: 8190, expected_value: Value, label: measure} + - {column: L, row: 8191, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8192 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8192, expected_value: E12000008, label: geography} + - {column: D, row: 8192, expected_value: Females, label: sex} + - {column: E, row: 8192, expected_value: Employee, label: employment type} + - {column: J, row: 8192, expected_value: Value, label: measure} + - {column: L, row: 8193, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8194 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8194, expected_value: E12000008, label: geography} + - {column: D, row: 8194, expected_value: Females, label: sex} + - {column: E, row: 8194, expected_value: Employee, label: employment type} + - {column: J, row: 8194, expected_value: Value, label: measure} + - {column: L, row: 8195, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8196 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8196, expected_value: E12000008, label: geography} + - {column: D, row: 8196, expected_value: Females, label: sex} + - {column: E, row: 8196, expected_value: Employee, label: employment type} + - {column: J, row: 8196, expected_value: Value, label: measure} + - {column: L, row: 8197, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8198 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8198, expected_value: E12000008, label: geography} + - {column: D, row: 8198, expected_value: Females, label: sex} + - {column: E, row: 8198, expected_value: Employee, label: employment type} + - {column: J, row: 8198, expected_value: Value, label: measure} + - {column: L, row: 8199, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8200 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8200, expected_value: E12000008, label: geography} + - {column: D, row: 8200, expected_value: Females, label: sex} + - {column: E, row: 8200, expected_value: Employee, label: employment type} + - {column: J, row: 8200, expected_value: Value, label: measure} + - {column: L, row: 8201, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8202 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8202, expected_value: E12000008, label: geography} + - {column: D, row: 8202, expected_value: Females, label: sex} + - {column: E, row: 8202, expected_value: Employee, label: employment type} + - {column: J, row: 8202, expected_value: Value, label: measure} + - {column: L, row: 8203, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8204 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8204, expected_value: E12000008, label: geography} + - {column: D, row: 8204, expected_value: Females, label: sex} + - {column: E, row: 8204, expected_value: Employee, label: employment type} + - {column: J, row: 8204, expected_value: Value, label: measure} + - {column: L, row: 8205, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8206 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8206, expected_value: E12000008, label: geography} + - {column: D, row: 8206, expected_value: Females, label: sex} + - {column: E, row: 8206, expected_value: Employee, label: employment type} + - {column: J, row: 8206, expected_value: Value, label: measure} + - {column: L, row: 8207, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8208 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8208, expected_value: E12000008, label: geography} + - {column: D, row: 8208, expected_value: Females, label: sex} + - {column: E, row: 8208, expected_value: Employee, label: employment type} + - {column: J, row: 8208, expected_value: Value, label: measure} + - {column: L, row: 8209, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8139 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8139, expected_value: E12000008, label: geography} + - {column: D, row: 8139, expected_value: Females, label: sex} + - {column: E, row: 8139, expected_value: Employee, label: employment type} + - {column: J, row: 8139, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8141 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8141, expected_value: E12000008, label: geography} + - {column: D, row: 8141, expected_value: Females, label: sex} + - {column: E, row: 8141, expected_value: Employee, label: employment type} + - {column: J, row: 8141, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8143 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8143, expected_value: E12000008, label: geography} + - {column: D, row: 8143, expected_value: Females, label: sex} + - {column: E, row: 8143, expected_value: Employee, label: employment type} + - {column: J, row: 8143, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8145 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8145, expected_value: E12000008, label: geography} + - {column: D, row: 8145, expected_value: Females, label: sex} + - {column: E, row: 8145, expected_value: Employee, label: employment type} + - {column: J, row: 8145, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8147 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8147, expected_value: E12000008, label: geography} + - {column: D, row: 8147, expected_value: Females, label: sex} + - {column: E, row: 8147, expected_value: Employee, label: employment type} + - {column: J, row: 8147, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8149 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8149, expected_value: E12000008, label: geography} + - {column: D, row: 8149, expected_value: Females, label: sex} + - {column: E, row: 8149, expected_value: Employee, label: employment type} + - {column: J, row: 8149, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8151 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8151, expected_value: E12000008, label: geography} + - {column: D, row: 8151, expected_value: Females, label: sex} + - {column: E, row: 8151, expected_value: Employee, label: employment type} + - {column: J, row: 8151, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8153 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8153, expected_value: E12000008, label: geography} + - {column: D, row: 8153, expected_value: Females, label: sex} + - {column: E, row: 8153, expected_value: Employee, label: employment type} + - {column: J, row: 8153, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8155 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8155, expected_value: E12000008, label: geography} + - {column: D, row: 8155, expected_value: Females, label: sex} + - {column: E, row: 8155, expected_value: Employee, label: employment type} + - {column: J, row: 8155, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8157 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8157, expected_value: E12000008, label: geography} + - {column: D, row: 8157, expected_value: Females, label: sex} + - {column: E, row: 8157, expected_value: Employee, label: employment type} + - {column: J, row: 8157, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8159 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8159, expected_value: E12000008, label: geography} + - {column: D, row: 8159, expected_value: Females, label: sex} + - {column: E, row: 8159, expected_value: Employee, label: employment type} + - {column: J, row: 8159, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8161 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8161, expected_value: E12000008, label: geography} + - {column: D, row: 8161, expected_value: Females, label: sex} + - {column: E, row: 8161, expected_value: Employee, label: employment type} + - {column: J, row: 8161, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8163 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8163, expected_value: E12000008, label: geography} + - {column: D, row: 8163, expected_value: Females, label: sex} + - {column: E, row: 8163, expected_value: Employee, label: employment type} + - {column: J, row: 8163, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8165 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8165, expected_value: E12000008, label: geography} + - {column: D, row: 8165, expected_value: Females, label: sex} + - {column: E, row: 8165, expected_value: Employee, label: employment type} + - {column: J, row: 8165, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8167 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8167, expected_value: E12000008, label: geography} + - {column: D, row: 8167, expected_value: Females, label: sex} + - {column: E, row: 8167, expected_value: Employee, label: employment type} + - {column: J, row: 8167, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8169 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8169, expected_value: E12000008, label: geography} + - {column: D, row: 8169, expected_value: Females, label: sex} + - {column: E, row: 8169, expected_value: Employee, label: employment type} + - {column: J, row: 8169, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8171 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8171, expected_value: E12000008, label: geography} + - {column: D, row: 8171, expected_value: Females, label: sex} + - {column: E, row: 8171, expected_value: Employee, label: employment type} + - {column: J, row: 8171, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8173 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8173, expected_value: E12000008, label: geography} + - {column: D, row: 8173, expected_value: Females, label: sex} + - {column: E, row: 8173, expected_value: Employee, label: employment type} + - {column: J, row: 8173, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8175 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8175, expected_value: E12000008, label: geography} + - {column: D, row: 8175, expected_value: Females, label: sex} + - {column: E, row: 8175, expected_value: Employee, label: employment type} + - {column: J, row: 8175, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8179 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8179, expected_value: E12000008, label: geography} + - {column: D, row: 8179, expected_value: Females, label: sex} + - {column: E, row: 8179, expected_value: Employee, label: employment type} + - {column: J, row: 8179, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8183 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8183, expected_value: E12000008, label: geography} + - {column: D, row: 8183, expected_value: Females, label: sex} + - {column: E, row: 8183, expected_value: Employee, label: employment type} + - {column: J, row: 8183, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8185 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8185, expected_value: E12000008, label: geography} + - {column: D, row: 8185, expected_value: Females, label: sex} + - {column: E, row: 8185, expected_value: Employee, label: employment type} + - {column: J, row: 8185, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8187 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8187, expected_value: E12000008, label: geography} + - {column: D, row: 8187, expected_value: Females, label: sex} + - {column: E, row: 8187, expected_value: Employee, label: employment type} + - {column: J, row: 8187, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8189 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8189, expected_value: E12000008, label: geography} + - {column: D, row: 8189, expected_value: Females, label: sex} + - {column: E, row: 8189, expected_value: Employee, label: employment type} + - {column: J, row: 8189, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8193 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8193, expected_value: E12000008, label: geography} + - {column: D, row: 8193, expected_value: Females, label: sex} + - {column: E, row: 8193, expected_value: Employee, label: employment type} + - {column: J, row: 8193, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8195 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8195, expected_value: E12000008, label: geography} + - {column: D, row: 8195, expected_value: Females, label: sex} + - {column: E, row: 8195, expected_value: Employee, label: employment type} + - {column: J, row: 8195, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8197 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8197, expected_value: E12000008, label: geography} + - {column: D, row: 8197, expected_value: Females, label: sex} + - {column: E, row: 8197, expected_value: Employee, label: employment type} + - {column: J, row: 8197, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8199 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8199, expected_value: E12000008, label: geography} + - {column: D, row: 8199, expected_value: Females, label: sex} + - {column: E, row: 8199, expected_value: Employee, label: employment type} + - {column: J, row: 8199, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8201 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8201, expected_value: E12000008, label: geography} + - {column: D, row: 8201, expected_value: Females, label: sex} + - {column: E, row: 8201, expected_value: Employee, label: employment type} + - {column: J, row: 8201, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8203 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8203, expected_value: E12000008, label: geography} + - {column: D, row: 8203, expected_value: Females, label: sex} + - {column: E, row: 8203, expected_value: Employee, label: employment type} + - {column: J, row: 8203, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8205 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8205, expected_value: E12000008, label: geography} + - {column: D, row: 8205, expected_value: Females, label: sex} + - {column: E, row: 8205, expected_value: Employee, label: employment type} + - {column: J, row: 8205, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8207 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8207, expected_value: E12000008, label: geography} + - {column: D, row: 8207, expected_value: Females, label: sex} + - {column: E, row: 8207, expected_value: Employee, label: employment type} + - {column: J, row: 8207, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8209 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8209, expected_value: E12000008, label: geography} + - {column: D, row: 8209, expected_value: Females, label: sex} + - {column: E, row: 8209, expected_value: Employee, label: employment type} + - {column: J, row: 8209, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8354 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8354, expected_value: E12000008, label: geography} + - {column: D, row: 8354, expected_value: Females, label: sex} + - {column: E, row: 8354, expected_value: Self-employed, label: employment type} + - {column: J, row: 8354, expected_value: Value, label: measure} + - {column: L, row: 8355, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8356 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8356, expected_value: E12000008, label: geography} + - {column: D, row: 8356, expected_value: Females, label: sex} + - {column: E, row: 8356, expected_value: Self-employed, label: employment type} + - {column: J, row: 8356, expected_value: Value, label: measure} + - {column: L, row: 8357, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8358 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8358, expected_value: E12000008, label: geography} + - {column: D, row: 8358, expected_value: Females, label: sex} + - {column: E, row: 8358, expected_value: Self-employed, label: employment type} + - {column: J, row: 8358, expected_value: Value, label: measure} + - {column: L, row: 8359, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8360 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8360, expected_value: E12000008, label: geography} + - {column: D, row: 8360, expected_value: Females, label: sex} + - {column: E, row: 8360, expected_value: Self-employed, label: employment type} + - {column: J, row: 8360, expected_value: Value, label: measure} + - {column: L, row: 8361, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8362 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8362, expected_value: E12000008, label: geography} + - {column: D, row: 8362, expected_value: Females, label: sex} + - {column: E, row: 8362, expected_value: Self-employed, label: employment type} + - {column: J, row: 8362, expected_value: Value, label: measure} + - {column: L, row: 8363, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8364 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8364, expected_value: E12000008, label: geography} + - {column: D, row: 8364, expected_value: Females, label: sex} + - {column: E, row: 8364, expected_value: Self-employed, label: employment type} + - {column: J, row: 8364, expected_value: Value, label: measure} + - {column: L, row: 8365, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8366 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8366, expected_value: E12000008, label: geography} + - {column: D, row: 8366, expected_value: Females, label: sex} + - {column: E, row: 8366, expected_value: Self-employed, label: employment type} + - {column: J, row: 8366, expected_value: Value, label: measure} + - {column: L, row: 8367, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8368 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8368, expected_value: E12000008, label: geography} + - {column: D, row: 8368, expected_value: Females, label: sex} + - {column: E, row: 8368, expected_value: Self-employed, label: employment type} + - {column: J, row: 8368, expected_value: Value, label: measure} + - {column: L, row: 8369, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8370 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8370, expected_value: E12000008, label: geography} + - {column: D, row: 8370, expected_value: Females, label: sex} + - {column: E, row: 8370, expected_value: Self-employed, label: employment type} + - {column: J, row: 8370, expected_value: Value, label: measure} + - {column: L, row: 8371, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8372 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8372, expected_value: E12000008, label: geography} + - {column: D, row: 8372, expected_value: Females, label: sex} + - {column: E, row: 8372, expected_value: Self-employed, label: employment type} + - {column: J, row: 8372, expected_value: Value, label: measure} + - {column: L, row: 8373, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8374 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8374, expected_value: E12000008, label: geography} + - {column: D, row: 8374, expected_value: Females, label: sex} + - {column: E, row: 8374, expected_value: Self-employed, label: employment type} + - {column: J, row: 8374, expected_value: Value, label: measure} + - {column: L, row: 8375, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8376 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8376, expected_value: E12000008, label: geography} + - {column: D, row: 8376, expected_value: Females, label: sex} + - {column: E, row: 8376, expected_value: Self-employed, label: employment type} + - {column: J, row: 8376, expected_value: Value, label: measure} + - {column: L, row: 8377, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8380 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8380, expected_value: E12000008, label: geography} + - {column: D, row: 8380, expected_value: Females, label: sex} + - {column: E, row: 8380, expected_value: Self-employed, label: employment type} + - {column: J, row: 8380, expected_value: Value, label: measure} + - {column: L, row: 8381, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8382 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8382, expected_value: E12000008, label: geography} + - {column: D, row: 8382, expected_value: Females, label: sex} + - {column: E, row: 8382, expected_value: Self-employed, label: employment type} + - {column: J, row: 8382, expected_value: Value, label: measure} + - {column: L, row: 8383, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8384 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8384, expected_value: E12000008, label: geography} + - {column: D, row: 8384, expected_value: Females, label: sex} + - {column: E, row: 8384, expected_value: Self-employed, label: employment type} + - {column: J, row: 8384, expected_value: Value, label: measure} + - {column: L, row: 8385, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8386 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8386, expected_value: E12000008, label: geography} + - {column: D, row: 8386, expected_value: Females, label: sex} + - {column: E, row: 8386, expected_value: Self-employed, label: employment type} + - {column: J, row: 8386, expected_value: Value, label: measure} + - {column: L, row: 8387, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8388 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8388, expected_value: E12000008, label: geography} + - {column: D, row: 8388, expected_value: Females, label: sex} + - {column: E, row: 8388, expected_value: Self-employed, label: employment type} + - {column: J, row: 8388, expected_value: Value, label: measure} + - {column: L, row: 8389, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8390 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8390, expected_value: E12000008, label: geography} + - {column: D, row: 8390, expected_value: Females, label: sex} + - {column: E, row: 8390, expected_value: Self-employed, label: employment type} + - {column: J, row: 8390, expected_value: Value, label: measure} + - {column: L, row: 8391, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8392 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8392, expected_value: E12000008, label: geography} + - {column: D, row: 8392, expected_value: Females, label: sex} + - {column: E, row: 8392, expected_value: Self-employed, label: employment type} + - {column: J, row: 8392, expected_value: Value, label: measure} + - {column: L, row: 8393, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8396 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8396, expected_value: E12000008, label: geography} + - {column: D, row: 8396, expected_value: Females, label: sex} + - {column: E, row: 8396, expected_value: Self-employed, label: employment type} + - {column: J, row: 8396, expected_value: Value, label: measure} + - {column: L, row: 8397, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8398 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8398, expected_value: E12000008, label: geography} + - {column: D, row: 8398, expected_value: Females, label: sex} + - {column: E, row: 8398, expected_value: Self-employed, label: employment type} + - {column: J, row: 8398, expected_value: Value, label: measure} + - {column: L, row: 8399, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8400 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8400, expected_value: E12000008, label: geography} + - {column: D, row: 8400, expected_value: Females, label: sex} + - {column: E, row: 8400, expected_value: Self-employed, label: employment type} + - {column: J, row: 8400, expected_value: Value, label: measure} + - {column: L, row: 8401, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8402 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8402, expected_value: E12000008, label: geography} + - {column: D, row: 8402, expected_value: Females, label: sex} + - {column: E, row: 8402, expected_value: Self-employed, label: employment type} + - {column: J, row: 8402, expected_value: Value, label: measure} + - {column: L, row: 8403, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8404 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8404, expected_value: E12000008, label: geography} + - {column: D, row: 8404, expected_value: Females, label: sex} + - {column: E, row: 8404, expected_value: Self-employed, label: employment type} + - {column: J, row: 8404, expected_value: Value, label: measure} + - {column: L, row: 8405, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8408 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8408, expected_value: E12000008, label: geography} + - {column: D, row: 8408, expected_value: Females, label: sex} + - {column: E, row: 8408, expected_value: Self-employed, label: employment type} + - {column: J, row: 8408, expected_value: Value, label: measure} + - {column: L, row: 8409, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8410 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8410, expected_value: E12000008, label: geography} + - {column: D, row: 8410, expected_value: Females, label: sex} + - {column: E, row: 8410, expected_value: Self-employed, label: employment type} + - {column: J, row: 8410, expected_value: Value, label: measure} + - {column: L, row: 8411, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8412 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8412, expected_value: E12000008, label: geography} + - {column: D, row: 8412, expected_value: Females, label: sex} + - {column: E, row: 8412, expected_value: Self-employed, label: employment type} + - {column: J, row: 8412, expected_value: Value, label: measure} + - {column: L, row: 8413, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8414 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8414, expected_value: E12000008, label: geography} + - {column: D, row: 8414, expected_value: Females, label: sex} + - {column: E, row: 8414, expected_value: Self-employed, label: employment type} + - {column: J, row: 8414, expected_value: Value, label: measure} + - {column: L, row: 8415, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8416 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8416, expected_value: E12000008, label: geography} + - {column: D, row: 8416, expected_value: Females, label: sex} + - {column: E, row: 8416, expected_value: Self-employed, label: employment type} + - {column: J, row: 8416, expected_value: Value, label: measure} + - {column: L, row: 8417, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8418 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8418, expected_value: E12000008, label: geography} + - {column: D, row: 8418, expected_value: Females, label: sex} + - {column: E, row: 8418, expected_value: Self-employed, label: employment type} + - {column: J, row: 8418, expected_value: Value, label: measure} + - {column: L, row: 8419, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8420 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8420, expected_value: E12000008, label: geography} + - {column: D, row: 8420, expected_value: Females, label: sex} + - {column: E, row: 8420, expected_value: Self-employed, label: employment type} + - {column: J, row: 8420, expected_value: Value, label: measure} + - {column: L, row: 8421, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8422 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8422, expected_value: E12000008, label: geography} + - {column: D, row: 8422, expected_value: Females, label: sex} + - {column: E, row: 8422, expected_value: Self-employed, label: employment type} + - {column: J, row: 8422, expected_value: Value, label: measure} + - {column: L, row: 8423, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8424 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8424, expected_value: E12000008, label: geography} + - {column: D, row: 8424, expected_value: Females, label: sex} + - {column: E, row: 8424, expected_value: Self-employed, label: employment type} + - {column: J, row: 8424, expected_value: Value, label: measure} + - {column: L, row: 8425, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000008.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8355 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8355, expected_value: E12000008, label: geography} + - {column: D, row: 8355, expected_value: Females, label: sex} + - {column: E, row: 8355, expected_value: Self-employed, label: employment type} + - {column: J, row: 8355, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8357 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8357, expected_value: E12000008, label: geography} + - {column: D, row: 8357, expected_value: Females, label: sex} + - {column: E, row: 8357, expected_value: Self-employed, label: employment type} + - {column: J, row: 8357, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8359 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8359, expected_value: E12000008, label: geography} + - {column: D, row: 8359, expected_value: Females, label: sex} + - {column: E, row: 8359, expected_value: Self-employed, label: employment type} + - {column: J, row: 8359, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8361 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8361, expected_value: E12000008, label: geography} + - {column: D, row: 8361, expected_value: Females, label: sex} + - {column: E, row: 8361, expected_value: Self-employed, label: employment type} + - {column: J, row: 8361, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8363 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8363, expected_value: E12000008, label: geography} + - {column: D, row: 8363, expected_value: Females, label: sex} + - {column: E, row: 8363, expected_value: Self-employed, label: employment type} + - {column: J, row: 8363, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8365 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8365, expected_value: E12000008, label: geography} + - {column: D, row: 8365, expected_value: Females, label: sex} + - {column: E, row: 8365, expected_value: Self-employed, label: employment type} + - {column: J, row: 8365, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8367 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8367, expected_value: E12000008, label: geography} + - {column: D, row: 8367, expected_value: Females, label: sex} + - {column: E, row: 8367, expected_value: Self-employed, label: employment type} + - {column: J, row: 8367, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8369 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8369, expected_value: E12000008, label: geography} + - {column: D, row: 8369, expected_value: Females, label: sex} + - {column: E, row: 8369, expected_value: Self-employed, label: employment type} + - {column: J, row: 8369, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8371 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8371, expected_value: E12000008, label: geography} + - {column: D, row: 8371, expected_value: Females, label: sex} + - {column: E, row: 8371, expected_value: Self-employed, label: employment type} + - {column: J, row: 8371, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8373 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8373, expected_value: E12000008, label: geography} + - {column: D, row: 8373, expected_value: Females, label: sex} + - {column: E, row: 8373, expected_value: Self-employed, label: employment type} + - {column: J, row: 8373, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8377 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8377, expected_value: E12000008, label: geography} + - {column: D, row: 8377, expected_value: Females, label: sex} + - {column: E, row: 8377, expected_value: Self-employed, label: employment type} + - {column: J, row: 8377, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8381 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8381, expected_value: E12000008, label: geography} + - {column: D, row: 8381, expected_value: Females, label: sex} + - {column: E, row: 8381, expected_value: Self-employed, label: employment type} + - {column: J, row: 8381, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8383 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8383, expected_value: E12000008, label: geography} + - {column: D, row: 8383, expected_value: Females, label: sex} + - {column: E, row: 8383, expected_value: Self-employed, label: employment type} + - {column: J, row: 8383, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8385 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8385, expected_value: E12000008, label: geography} + - {column: D, row: 8385, expected_value: Females, label: sex} + - {column: E, row: 8385, expected_value: Self-employed, label: employment type} + - {column: J, row: 8385, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8387 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8387, expected_value: E12000008, label: geography} + - {column: D, row: 8387, expected_value: Females, label: sex} + - {column: E, row: 8387, expected_value: Self-employed, label: employment type} + - {column: J, row: 8387, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8389 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8389, expected_value: E12000008, label: geography} + - {column: D, row: 8389, expected_value: Females, label: sex} + - {column: E, row: 8389, expected_value: Self-employed, label: employment type} + - {column: J, row: 8389, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8391 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8391, expected_value: E12000008, label: geography} + - {column: D, row: 8391, expected_value: Females, label: sex} + - {column: E, row: 8391, expected_value: Self-employed, label: employment type} + - {column: J, row: 8391, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8393 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8393, expected_value: E12000008, label: geography} + - {column: D, row: 8393, expected_value: Females, label: sex} + - {column: E, row: 8393, expected_value: Self-employed, label: employment type} + - {column: J, row: 8393, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8399 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8399, expected_value: E12000008, label: geography} + - {column: D, row: 8399, expected_value: Females, label: sex} + - {column: E, row: 8399, expected_value: Self-employed, label: employment type} + - {column: J, row: 8399, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8401 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8401, expected_value: E12000008, label: geography} + - {column: D, row: 8401, expected_value: Females, label: sex} + - {column: E, row: 8401, expected_value: Self-employed, label: employment type} + - {column: J, row: 8401, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8403 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8403, expected_value: E12000008, label: geography} + - {column: D, row: 8403, expected_value: Females, label: sex} + - {column: E, row: 8403, expected_value: Self-employed, label: employment type} + - {column: J, row: 8403, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8405 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8405, expected_value: E12000008, label: geography} + - {column: D, row: 8405, expected_value: Females, label: sex} + - {column: E, row: 8405, expected_value: Self-employed, label: employment type} + - {column: J, row: 8405, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8409 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8409, expected_value: E12000008, label: geography} + - {column: D, row: 8409, expected_value: Females, label: sex} + - {column: E, row: 8409, expected_value: Self-employed, label: employment type} + - {column: J, row: 8409, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8411 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8411, expected_value: E12000008, label: geography} + - {column: D, row: 8411, expected_value: Females, label: sex} + - {column: E, row: 8411, expected_value: Self-employed, label: employment type} + - {column: J, row: 8411, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8415 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8415, expected_value: E12000008, label: geography} + - {column: D, row: 8415, expected_value: Females, label: sex} + - {column: E, row: 8415, expected_value: Self-employed, label: employment type} + - {column: J, row: 8415, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8419 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8419, expected_value: E12000008, label: geography} + - {column: D, row: 8419, expected_value: Females, label: sex} + - {column: E, row: 8419, expected_value: Self-employed, label: employment type} + - {column: J, row: 8419, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8421 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8421, expected_value: E12000008, label: geography} + - {column: D, row: 8421, expected_value: Females, label: sex} + - {column: E, row: 8421, expected_value: Self-employed, label: employment type} + - {column: J, row: 8421, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8425 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8425, expected_value: E12000008, label: geography} + - {column: D, row: 8425, expected_value: Females, label: sex} + - {column: E, row: 8425, expected_value: Self-employed, label: employment type} + - {column: J, row: 8425, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8426 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8426, expected_value: E12000009, label: geography} + - {column: D, row: 8426, expected_value: All persons, label: sex} + - {column: E, row: 8426, expected_value: Total, label: employment type} + - {column: J, row: 8426, expected_value: Value, label: measure} + - {column: L, row: 8427, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8428 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8428, expected_value: E12000009, label: geography} + - {column: D, row: 8428, expected_value: All persons, label: sex} + - {column: E, row: 8428, expected_value: Total, label: employment type} + - {column: J, row: 8428, expected_value: Value, label: measure} + - {column: L, row: 8429, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8430 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8430, expected_value: E12000009, label: geography} + - {column: D, row: 8430, expected_value: All persons, label: sex} + - {column: E, row: 8430, expected_value: Total, label: employment type} + - {column: J, row: 8430, expected_value: Value, label: measure} + - {column: L, row: 8431, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8432 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8432, expected_value: E12000009, label: geography} + - {column: D, row: 8432, expected_value: All persons, label: sex} + - {column: E, row: 8432, expected_value: Total, label: employment type} + - {column: J, row: 8432, expected_value: Value, label: measure} + - {column: L, row: 8433, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8434 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8434, expected_value: E12000009, label: geography} + - {column: D, row: 8434, expected_value: All persons, label: sex} + - {column: E, row: 8434, expected_value: Total, label: employment type} + - {column: J, row: 8434, expected_value: Value, label: measure} + - {column: L, row: 8435, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8436 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8436, expected_value: E12000009, label: geography} + - {column: D, row: 8436, expected_value: All persons, label: sex} + - {column: E, row: 8436, expected_value: Total, label: employment type} + - {column: J, row: 8436, expected_value: Value, label: measure} + - {column: L, row: 8437, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8438 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8438, expected_value: E12000009, label: geography} + - {column: D, row: 8438, expected_value: All persons, label: sex} + - {column: E, row: 8438, expected_value: Total, label: employment type} + - {column: J, row: 8438, expected_value: Value, label: measure} + - {column: L, row: 8439, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8440 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8440, expected_value: E12000009, label: geography} + - {column: D, row: 8440, expected_value: All persons, label: sex} + - {column: E, row: 8440, expected_value: Total, label: employment type} + - {column: J, row: 8440, expected_value: Value, label: measure} + - {column: L, row: 8441, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8442 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8442, expected_value: E12000009, label: geography} + - {column: D, row: 8442, expected_value: All persons, label: sex} + - {column: E, row: 8442, expected_value: Total, label: employment type} + - {column: J, row: 8442, expected_value: Value, label: measure} + - {column: L, row: 8443, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8444 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8444, expected_value: E12000009, label: geography} + - {column: D, row: 8444, expected_value: All persons, label: sex} + - {column: E, row: 8444, expected_value: Total, label: employment type} + - {column: J, row: 8444, expected_value: Value, label: measure} + - {column: L, row: 8445, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8446 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8446, expected_value: E12000009, label: geography} + - {column: D, row: 8446, expected_value: All persons, label: sex} + - {column: E, row: 8446, expected_value: Total, label: employment type} + - {column: J, row: 8446, expected_value: Value, label: measure} + - {column: L, row: 8447, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8448 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8448, expected_value: E12000009, label: geography} + - {column: D, row: 8448, expected_value: All persons, label: sex} + - {column: E, row: 8448, expected_value: Total, label: employment type} + - {column: J, row: 8448, expected_value: Value, label: measure} + - {column: L, row: 8449, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8450 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8450, expected_value: E12000009, label: geography} + - {column: D, row: 8450, expected_value: All persons, label: sex} + - {column: E, row: 8450, expected_value: Total, label: employment type} + - {column: J, row: 8450, expected_value: Value, label: measure} + - {column: L, row: 8451, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8452 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8452, expected_value: E12000009, label: geography} + - {column: D, row: 8452, expected_value: All persons, label: sex} + - {column: E, row: 8452, expected_value: Total, label: employment type} + - {column: J, row: 8452, expected_value: Value, label: measure} + - {column: L, row: 8453, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8454 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8454, expected_value: E12000009, label: geography} + - {column: D, row: 8454, expected_value: All persons, label: sex} + - {column: E, row: 8454, expected_value: Total, label: employment type} + - {column: J, row: 8454, expected_value: Value, label: measure} + - {column: L, row: 8455, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8456 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8456, expected_value: E12000009, label: geography} + - {column: D, row: 8456, expected_value: All persons, label: sex} + - {column: E, row: 8456, expected_value: Total, label: employment type} + - {column: J, row: 8456, expected_value: Value, label: measure} + - {column: L, row: 8457, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8458 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8458, expected_value: E12000009, label: geography} + - {column: D, row: 8458, expected_value: All persons, label: sex} + - {column: E, row: 8458, expected_value: Total, label: employment type} + - {column: J, row: 8458, expected_value: Value, label: measure} + - {column: L, row: 8459, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8460 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8460, expected_value: E12000009, label: geography} + - {column: D, row: 8460, expected_value: All persons, label: sex} + - {column: E, row: 8460, expected_value: Total, label: employment type} + - {column: J, row: 8460, expected_value: Value, label: measure} + - {column: L, row: 8461, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8462 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8462, expected_value: E12000009, label: geography} + - {column: D, row: 8462, expected_value: All persons, label: sex} + - {column: E, row: 8462, expected_value: Total, label: employment type} + - {column: J, row: 8462, expected_value: Value, label: measure} + - {column: L, row: 8463, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8464 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8464, expected_value: E12000009, label: geography} + - {column: D, row: 8464, expected_value: All persons, label: sex} + - {column: E, row: 8464, expected_value: Total, label: employment type} + - {column: J, row: 8464, expected_value: Value, label: measure} + - {column: L, row: 8465, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8466 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8466, expected_value: E12000009, label: geography} + - {column: D, row: 8466, expected_value: All persons, label: sex} + - {column: E, row: 8466, expected_value: Total, label: employment type} + - {column: J, row: 8466, expected_value: Value, label: measure} + - {column: L, row: 8467, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8468 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8468, expected_value: E12000009, label: geography} + - {column: D, row: 8468, expected_value: All persons, label: sex} + - {column: E, row: 8468, expected_value: Total, label: employment type} + - {column: J, row: 8468, expected_value: Value, label: measure} + - {column: L, row: 8469, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8470 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8470, expected_value: E12000009, label: geography} + - {column: D, row: 8470, expected_value: All persons, label: sex} + - {column: E, row: 8470, expected_value: Total, label: employment type} + - {column: J, row: 8470, expected_value: Value, label: measure} + - {column: L, row: 8471, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8472 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8472, expected_value: E12000009, label: geography} + - {column: D, row: 8472, expected_value: All persons, label: sex} + - {column: E, row: 8472, expected_value: Total, label: employment type} + - {column: J, row: 8472, expected_value: Value, label: measure} + - {column: L, row: 8473, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8474 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8474, expected_value: E12000009, label: geography} + - {column: D, row: 8474, expected_value: All persons, label: sex} + - {column: E, row: 8474, expected_value: Total, label: employment type} + - {column: J, row: 8474, expected_value: Value, label: measure} + - {column: L, row: 8475, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8476 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8476, expected_value: E12000009, label: geography} + - {column: D, row: 8476, expected_value: All persons, label: sex} + - {column: E, row: 8476, expected_value: Total, label: employment type} + - {column: J, row: 8476, expected_value: Value, label: measure} + - {column: L, row: 8477, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8478 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8478, expected_value: E12000009, label: geography} + - {column: D, row: 8478, expected_value: All persons, label: sex} + - {column: E, row: 8478, expected_value: Total, label: employment type} + - {column: J, row: 8478, expected_value: Value, label: measure} + - {column: L, row: 8479, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8480 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8480, expected_value: E12000009, label: geography} + - {column: D, row: 8480, expected_value: All persons, label: sex} + - {column: E, row: 8480, expected_value: Total, label: employment type} + - {column: J, row: 8480, expected_value: Value, label: measure} + - {column: L, row: 8481, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8482 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8482, expected_value: E12000009, label: geography} + - {column: D, row: 8482, expected_value: All persons, label: sex} + - {column: E, row: 8482, expected_value: Total, label: employment type} + - {column: J, row: 8482, expected_value: Value, label: measure} + - {column: L, row: 8483, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8484 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8484, expected_value: E12000009, label: geography} + - {column: D, row: 8484, expected_value: All persons, label: sex} + - {column: E, row: 8484, expected_value: Total, label: employment type} + - {column: J, row: 8484, expected_value: Value, label: measure} + - {column: L, row: 8485, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8486 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8486, expected_value: E12000009, label: geography} + - {column: D, row: 8486, expected_value: All persons, label: sex} + - {column: E, row: 8486, expected_value: Total, label: employment type} + - {column: J, row: 8486, expected_value: Value, label: measure} + - {column: L, row: 8487, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8488 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8488, expected_value: E12000009, label: geography} + - {column: D, row: 8488, expected_value: All persons, label: sex} + - {column: E, row: 8488, expected_value: Total, label: employment type} + - {column: J, row: 8488, expected_value: Value, label: measure} + - {column: L, row: 8489, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8490 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8490, expected_value: E12000009, label: geography} + - {column: D, row: 8490, expected_value: All persons, label: sex} + - {column: E, row: 8490, expected_value: Total, label: employment type} + - {column: J, row: 8490, expected_value: Value, label: measure} + - {column: L, row: 8491, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8492 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8492, expected_value: E12000009, label: geography} + - {column: D, row: 8492, expected_value: All persons, label: sex} + - {column: E, row: 8492, expected_value: Total, label: employment type} + - {column: J, row: 8492, expected_value: Value, label: measure} + - {column: L, row: 8493, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8494 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8494, expected_value: E12000009, label: geography} + - {column: D, row: 8494, expected_value: All persons, label: sex} + - {column: E, row: 8494, expected_value: Total, label: employment type} + - {column: J, row: 8494, expected_value: Value, label: measure} + - {column: L, row: 8495, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8496 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8496, expected_value: E12000009, label: geography} + - {column: D, row: 8496, expected_value: All persons, label: sex} + - {column: E, row: 8496, expected_value: Total, label: employment type} + - {column: J, row: 8496, expected_value: Value, label: measure} + - {column: L, row: 8497, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8427 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8427, expected_value: E12000009, label: geography} + - {column: D, row: 8427, expected_value: All persons, label: sex} + - {column: E, row: 8427, expected_value: Total, label: employment type} + - {column: J, row: 8427, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8429 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8429, expected_value: E12000009, label: geography} + - {column: D, row: 8429, expected_value: All persons, label: sex} + - {column: E, row: 8429, expected_value: Total, label: employment type} + - {column: J, row: 8429, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8431 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8431, expected_value: E12000009, label: geography} + - {column: D, row: 8431, expected_value: All persons, label: sex} + - {column: E, row: 8431, expected_value: Total, label: employment type} + - {column: J, row: 8431, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8433 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8433, expected_value: E12000009, label: geography} + - {column: D, row: 8433, expected_value: All persons, label: sex} + - {column: E, row: 8433, expected_value: Total, label: employment type} + - {column: J, row: 8433, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8435 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8435, expected_value: E12000009, label: geography} + - {column: D, row: 8435, expected_value: All persons, label: sex} + - {column: E, row: 8435, expected_value: Total, label: employment type} + - {column: J, row: 8435, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8437 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8437, expected_value: E12000009, label: geography} + - {column: D, row: 8437, expected_value: All persons, label: sex} + - {column: E, row: 8437, expected_value: Total, label: employment type} + - {column: J, row: 8437, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8439 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8439, expected_value: E12000009, label: geography} + - {column: D, row: 8439, expected_value: All persons, label: sex} + - {column: E, row: 8439, expected_value: Total, label: employment type} + - {column: J, row: 8439, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8441 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8441, expected_value: E12000009, label: geography} + - {column: D, row: 8441, expected_value: All persons, label: sex} + - {column: E, row: 8441, expected_value: Total, label: employment type} + - {column: J, row: 8441, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8443 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8443, expected_value: E12000009, label: geography} + - {column: D, row: 8443, expected_value: All persons, label: sex} + - {column: E, row: 8443, expected_value: Total, label: employment type} + - {column: J, row: 8443, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8445 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8445, expected_value: E12000009, label: geography} + - {column: D, row: 8445, expected_value: All persons, label: sex} + - {column: E, row: 8445, expected_value: Total, label: employment type} + - {column: J, row: 8445, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8447 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8447, expected_value: E12000009, label: geography} + - {column: D, row: 8447, expected_value: All persons, label: sex} + - {column: E, row: 8447, expected_value: Total, label: employment type} + - {column: J, row: 8447, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8449 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8449, expected_value: E12000009, label: geography} + - {column: D, row: 8449, expected_value: All persons, label: sex} + - {column: E, row: 8449, expected_value: Total, label: employment type} + - {column: J, row: 8449, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8451 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8451, expected_value: E12000009, label: geography} + - {column: D, row: 8451, expected_value: All persons, label: sex} + - {column: E, row: 8451, expected_value: Total, label: employment type} + - {column: J, row: 8451, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8453 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8453, expected_value: E12000009, label: geography} + - {column: D, row: 8453, expected_value: All persons, label: sex} + - {column: E, row: 8453, expected_value: Total, label: employment type} + - {column: J, row: 8453, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8455 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8455, expected_value: E12000009, label: geography} + - {column: D, row: 8455, expected_value: All persons, label: sex} + - {column: E, row: 8455, expected_value: Total, label: employment type} + - {column: J, row: 8455, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8457 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8457, expected_value: E12000009, label: geography} + - {column: D, row: 8457, expected_value: All persons, label: sex} + - {column: E, row: 8457, expected_value: Total, label: employment type} + - {column: J, row: 8457, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8459 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8459, expected_value: E12000009, label: geography} + - {column: D, row: 8459, expected_value: All persons, label: sex} + - {column: E, row: 8459, expected_value: Total, label: employment type} + - {column: J, row: 8459, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8461 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8461, expected_value: E12000009, label: geography} + - {column: D, row: 8461, expected_value: All persons, label: sex} + - {column: E, row: 8461, expected_value: Total, label: employment type} + - {column: J, row: 8461, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8463 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8463, expected_value: E12000009, label: geography} + - {column: D, row: 8463, expected_value: All persons, label: sex} + - {column: E, row: 8463, expected_value: Total, label: employment type} + - {column: J, row: 8463, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8465 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8465, expected_value: E12000009, label: geography} + - {column: D, row: 8465, expected_value: All persons, label: sex} + - {column: E, row: 8465, expected_value: Total, label: employment type} + - {column: J, row: 8465, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8467 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8467, expected_value: E12000009, label: geography} + - {column: D, row: 8467, expected_value: All persons, label: sex} + - {column: E, row: 8467, expected_value: Total, label: employment type} + - {column: J, row: 8467, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8469 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8469, expected_value: E12000009, label: geography} + - {column: D, row: 8469, expected_value: All persons, label: sex} + - {column: E, row: 8469, expected_value: Total, label: employment type} + - {column: J, row: 8469, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8471 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8471, expected_value: E12000009, label: geography} + - {column: D, row: 8471, expected_value: All persons, label: sex} + - {column: E, row: 8471, expected_value: Total, label: employment type} + - {column: J, row: 8471, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8473 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8473, expected_value: E12000009, label: geography} + - {column: D, row: 8473, expected_value: All persons, label: sex} + - {column: E, row: 8473, expected_value: Total, label: employment type} + - {column: J, row: 8473, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8475 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8475, expected_value: E12000009, label: geography} + - {column: D, row: 8475, expected_value: All persons, label: sex} + - {column: E, row: 8475, expected_value: Total, label: employment type} + - {column: J, row: 8475, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8477 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8477, expected_value: E12000009, label: geography} + - {column: D, row: 8477, expected_value: All persons, label: sex} + - {column: E, row: 8477, expected_value: Total, label: employment type} + - {column: J, row: 8477, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8481 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8481, expected_value: E12000009, label: geography} + - {column: D, row: 8481, expected_value: All persons, label: sex} + - {column: E, row: 8481, expected_value: Total, label: employment type} + - {column: J, row: 8481, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8483 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8483, expected_value: E12000009, label: geography} + - {column: D, row: 8483, expected_value: All persons, label: sex} + - {column: E, row: 8483, expected_value: Total, label: employment type} + - {column: J, row: 8483, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8485 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8485, expected_value: E12000009, label: geography} + - {column: D, row: 8485, expected_value: All persons, label: sex} + - {column: E, row: 8485, expected_value: Total, label: employment type} + - {column: J, row: 8485, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8487 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8487, expected_value: E12000009, label: geography} + - {column: D, row: 8487, expected_value: All persons, label: sex} + - {column: E, row: 8487, expected_value: Total, label: employment type} + - {column: J, row: 8487, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8489 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8489, expected_value: E12000009, label: geography} + - {column: D, row: 8489, expected_value: All persons, label: sex} + - {column: E, row: 8489, expected_value: Total, label: employment type} + - {column: J, row: 8489, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8491 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8491, expected_value: E12000009, label: geography} + - {column: D, row: 8491, expected_value: All persons, label: sex} + - {column: E, row: 8491, expected_value: Total, label: employment type} + - {column: J, row: 8491, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8493 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8493, expected_value: E12000009, label: geography} + - {column: D, row: 8493, expected_value: All persons, label: sex} + - {column: E, row: 8493, expected_value: Total, label: employment type} + - {column: J, row: 8493, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8495 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8495, expected_value: E12000009, label: geography} + - {column: D, row: 8495, expected_value: All persons, label: sex} + - {column: E, row: 8495, expected_value: Total, label: employment type} + - {column: J, row: 8495, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8497 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8497, expected_value: E12000009, label: geography} + - {column: D, row: 8497, expected_value: All persons, label: sex} + - {column: E, row: 8497, expected_value: Total, label: employment type} + - {column: J, row: 8497, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8642 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8642, expected_value: E12000009, label: geography} + - {column: D, row: 8642, expected_value: All persons, label: sex} + - {column: E, row: 8642, expected_value: Employee, label: employment type} + - {column: J, row: 8642, expected_value: Value, label: measure} + - {column: L, row: 8643, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8644 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8644, expected_value: E12000009, label: geography} + - {column: D, row: 8644, expected_value: All persons, label: sex} + - {column: E, row: 8644, expected_value: Employee, label: employment type} + - {column: J, row: 8644, expected_value: Value, label: measure} + - {column: L, row: 8645, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8646 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8646, expected_value: E12000009, label: geography} + - {column: D, row: 8646, expected_value: All persons, label: sex} + - {column: E, row: 8646, expected_value: Employee, label: employment type} + - {column: J, row: 8646, expected_value: Value, label: measure} + - {column: L, row: 8647, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8648 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8648, expected_value: E12000009, label: geography} + - {column: D, row: 8648, expected_value: All persons, label: sex} + - {column: E, row: 8648, expected_value: Employee, label: employment type} + - {column: J, row: 8648, expected_value: Value, label: measure} + - {column: L, row: 8649, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8650 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8650, expected_value: E12000009, label: geography} + - {column: D, row: 8650, expected_value: All persons, label: sex} + - {column: E, row: 8650, expected_value: Employee, label: employment type} + - {column: J, row: 8650, expected_value: Value, label: measure} + - {column: L, row: 8651, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8652 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8652, expected_value: E12000009, label: geography} + - {column: D, row: 8652, expected_value: All persons, label: sex} + - {column: E, row: 8652, expected_value: Employee, label: employment type} + - {column: J, row: 8652, expected_value: Value, label: measure} + - {column: L, row: 8653, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8654 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8654, expected_value: E12000009, label: geography} + - {column: D, row: 8654, expected_value: All persons, label: sex} + - {column: E, row: 8654, expected_value: Employee, label: employment type} + - {column: J, row: 8654, expected_value: Value, label: measure} + - {column: L, row: 8655, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8656 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8656, expected_value: E12000009, label: geography} + - {column: D, row: 8656, expected_value: All persons, label: sex} + - {column: E, row: 8656, expected_value: Employee, label: employment type} + - {column: J, row: 8656, expected_value: Value, label: measure} + - {column: L, row: 8657, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8658 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8658, expected_value: E12000009, label: geography} + - {column: D, row: 8658, expected_value: All persons, label: sex} + - {column: E, row: 8658, expected_value: Employee, label: employment type} + - {column: J, row: 8658, expected_value: Value, label: measure} + - {column: L, row: 8659, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8660 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8660, expected_value: E12000009, label: geography} + - {column: D, row: 8660, expected_value: All persons, label: sex} + - {column: E, row: 8660, expected_value: Employee, label: employment type} + - {column: J, row: 8660, expected_value: Value, label: measure} + - {column: L, row: 8661, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8662 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8662, expected_value: E12000009, label: geography} + - {column: D, row: 8662, expected_value: All persons, label: sex} + - {column: E, row: 8662, expected_value: Employee, label: employment type} + - {column: J, row: 8662, expected_value: Value, label: measure} + - {column: L, row: 8663, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8664 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8664, expected_value: E12000009, label: geography} + - {column: D, row: 8664, expected_value: All persons, label: sex} + - {column: E, row: 8664, expected_value: Employee, label: employment type} + - {column: J, row: 8664, expected_value: Value, label: measure} + - {column: L, row: 8665, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8666 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8666, expected_value: E12000009, label: geography} + - {column: D, row: 8666, expected_value: All persons, label: sex} + - {column: E, row: 8666, expected_value: Employee, label: employment type} + - {column: J, row: 8666, expected_value: Value, label: measure} + - {column: L, row: 8667, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8668 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8668, expected_value: E12000009, label: geography} + - {column: D, row: 8668, expected_value: All persons, label: sex} + - {column: E, row: 8668, expected_value: Employee, label: employment type} + - {column: J, row: 8668, expected_value: Value, label: measure} + - {column: L, row: 8669, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8670 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8670, expected_value: E12000009, label: geography} + - {column: D, row: 8670, expected_value: All persons, label: sex} + - {column: E, row: 8670, expected_value: Employee, label: employment type} + - {column: J, row: 8670, expected_value: Value, label: measure} + - {column: L, row: 8671, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8672 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8672, expected_value: E12000009, label: geography} + - {column: D, row: 8672, expected_value: All persons, label: sex} + - {column: E, row: 8672, expected_value: Employee, label: employment type} + - {column: J, row: 8672, expected_value: Value, label: measure} + - {column: L, row: 8673, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8674 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8674, expected_value: E12000009, label: geography} + - {column: D, row: 8674, expected_value: All persons, label: sex} + - {column: E, row: 8674, expected_value: Employee, label: employment type} + - {column: J, row: 8674, expected_value: Value, label: measure} + - {column: L, row: 8675, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8676 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8676, expected_value: E12000009, label: geography} + - {column: D, row: 8676, expected_value: All persons, label: sex} + - {column: E, row: 8676, expected_value: Employee, label: employment type} + - {column: J, row: 8676, expected_value: Value, label: measure} + - {column: L, row: 8677, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8678 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8678, expected_value: E12000009, label: geography} + - {column: D, row: 8678, expected_value: All persons, label: sex} + - {column: E, row: 8678, expected_value: Employee, label: employment type} + - {column: J, row: 8678, expected_value: Value, label: measure} + - {column: L, row: 8679, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8680 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8680, expected_value: E12000009, label: geography} + - {column: D, row: 8680, expected_value: All persons, label: sex} + - {column: E, row: 8680, expected_value: Employee, label: employment type} + - {column: J, row: 8680, expected_value: Value, label: measure} + - {column: L, row: 8681, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8682 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8682, expected_value: E12000009, label: geography} + - {column: D, row: 8682, expected_value: All persons, label: sex} + - {column: E, row: 8682, expected_value: Employee, label: employment type} + - {column: J, row: 8682, expected_value: Value, label: measure} + - {column: L, row: 8683, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8684 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8684, expected_value: E12000009, label: geography} + - {column: D, row: 8684, expected_value: All persons, label: sex} + - {column: E, row: 8684, expected_value: Employee, label: employment type} + - {column: J, row: 8684, expected_value: Value, label: measure} + - {column: L, row: 8685, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8686 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8686, expected_value: E12000009, label: geography} + - {column: D, row: 8686, expected_value: All persons, label: sex} + - {column: E, row: 8686, expected_value: Employee, label: employment type} + - {column: J, row: 8686, expected_value: Value, label: measure} + - {column: L, row: 8687, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8688 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8688, expected_value: E12000009, label: geography} + - {column: D, row: 8688, expected_value: All persons, label: sex} + - {column: E, row: 8688, expected_value: Employee, label: employment type} + - {column: J, row: 8688, expected_value: Value, label: measure} + - {column: L, row: 8689, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8690 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8690, expected_value: E12000009, label: geography} + - {column: D, row: 8690, expected_value: All persons, label: sex} + - {column: E, row: 8690, expected_value: Employee, label: employment type} + - {column: J, row: 8690, expected_value: Value, label: measure} + - {column: L, row: 8691, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8692 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8692, expected_value: E12000009, label: geography} + - {column: D, row: 8692, expected_value: All persons, label: sex} + - {column: E, row: 8692, expected_value: Employee, label: employment type} + - {column: J, row: 8692, expected_value: Value, label: measure} + - {column: L, row: 8693, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8694 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8694, expected_value: E12000009, label: geography} + - {column: D, row: 8694, expected_value: All persons, label: sex} + - {column: E, row: 8694, expected_value: Employee, label: employment type} + - {column: J, row: 8694, expected_value: Value, label: measure} + - {column: L, row: 8695, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8696 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8696, expected_value: E12000009, label: geography} + - {column: D, row: 8696, expected_value: All persons, label: sex} + - {column: E, row: 8696, expected_value: Employee, label: employment type} + - {column: J, row: 8696, expected_value: Value, label: measure} + - {column: L, row: 8697, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8698 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8698, expected_value: E12000009, label: geography} + - {column: D, row: 8698, expected_value: All persons, label: sex} + - {column: E, row: 8698, expected_value: Employee, label: employment type} + - {column: J, row: 8698, expected_value: Value, label: measure} + - {column: L, row: 8699, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8700 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8700, expected_value: E12000009, label: geography} + - {column: D, row: 8700, expected_value: All persons, label: sex} + - {column: E, row: 8700, expected_value: Employee, label: employment type} + - {column: J, row: 8700, expected_value: Value, label: measure} + - {column: L, row: 8701, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8702 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8702, expected_value: E12000009, label: geography} + - {column: D, row: 8702, expected_value: All persons, label: sex} + - {column: E, row: 8702, expected_value: Employee, label: employment type} + - {column: J, row: 8702, expected_value: Value, label: measure} + - {column: L, row: 8703, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8704 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8704, expected_value: E12000009, label: geography} + - {column: D, row: 8704, expected_value: All persons, label: sex} + - {column: E, row: 8704, expected_value: Employee, label: employment type} + - {column: J, row: 8704, expected_value: Value, label: measure} + - {column: L, row: 8705, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8706 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8706, expected_value: E12000009, label: geography} + - {column: D, row: 8706, expected_value: All persons, label: sex} + - {column: E, row: 8706, expected_value: Employee, label: employment type} + - {column: J, row: 8706, expected_value: Value, label: measure} + - {column: L, row: 8707, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8708 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8708, expected_value: E12000009, label: geography} + - {column: D, row: 8708, expected_value: All persons, label: sex} + - {column: E, row: 8708, expected_value: Employee, label: employment type} + - {column: J, row: 8708, expected_value: Value, label: measure} + - {column: L, row: 8709, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8710 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8710, expected_value: E12000009, label: geography} + - {column: D, row: 8710, expected_value: All persons, label: sex} + - {column: E, row: 8710, expected_value: Employee, label: employment type} + - {column: J, row: 8710, expected_value: Value, label: measure} + - {column: L, row: 8711, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8712 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8712, expected_value: E12000009, label: geography} + - {column: D, row: 8712, expected_value: All persons, label: sex} + - {column: E, row: 8712, expected_value: Employee, label: employment type} + - {column: J, row: 8712, expected_value: Value, label: measure} + - {column: L, row: 8713, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8643 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8643, expected_value: E12000009, label: geography} + - {column: D, row: 8643, expected_value: All persons, label: sex} + - {column: E, row: 8643, expected_value: Employee, label: employment type} + - {column: J, row: 8643, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8645 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8645, expected_value: E12000009, label: geography} + - {column: D, row: 8645, expected_value: All persons, label: sex} + - {column: E, row: 8645, expected_value: Employee, label: employment type} + - {column: J, row: 8645, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8647 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8647, expected_value: E12000009, label: geography} + - {column: D, row: 8647, expected_value: All persons, label: sex} + - {column: E, row: 8647, expected_value: Employee, label: employment type} + - {column: J, row: 8647, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8649 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8649, expected_value: E12000009, label: geography} + - {column: D, row: 8649, expected_value: All persons, label: sex} + - {column: E, row: 8649, expected_value: Employee, label: employment type} + - {column: J, row: 8649, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8651 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8651, expected_value: E12000009, label: geography} + - {column: D, row: 8651, expected_value: All persons, label: sex} + - {column: E, row: 8651, expected_value: Employee, label: employment type} + - {column: J, row: 8651, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8653 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8653, expected_value: E12000009, label: geography} + - {column: D, row: 8653, expected_value: All persons, label: sex} + - {column: E, row: 8653, expected_value: Employee, label: employment type} + - {column: J, row: 8653, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8655 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8655, expected_value: E12000009, label: geography} + - {column: D, row: 8655, expected_value: All persons, label: sex} + - {column: E, row: 8655, expected_value: Employee, label: employment type} + - {column: J, row: 8655, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8657 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8657, expected_value: E12000009, label: geography} + - {column: D, row: 8657, expected_value: All persons, label: sex} + - {column: E, row: 8657, expected_value: Employee, label: employment type} + - {column: J, row: 8657, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8659 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8659, expected_value: E12000009, label: geography} + - {column: D, row: 8659, expected_value: All persons, label: sex} + - {column: E, row: 8659, expected_value: Employee, label: employment type} + - {column: J, row: 8659, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8661 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8661, expected_value: E12000009, label: geography} + - {column: D, row: 8661, expected_value: All persons, label: sex} + - {column: E, row: 8661, expected_value: Employee, label: employment type} + - {column: J, row: 8661, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8663 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8663, expected_value: E12000009, label: geography} + - {column: D, row: 8663, expected_value: All persons, label: sex} + - {column: E, row: 8663, expected_value: Employee, label: employment type} + - {column: J, row: 8663, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8665 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8665, expected_value: E12000009, label: geography} + - {column: D, row: 8665, expected_value: All persons, label: sex} + - {column: E, row: 8665, expected_value: Employee, label: employment type} + - {column: J, row: 8665, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8667 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8667, expected_value: E12000009, label: geography} + - {column: D, row: 8667, expected_value: All persons, label: sex} + - {column: E, row: 8667, expected_value: Employee, label: employment type} + - {column: J, row: 8667, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8669 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8669, expected_value: E12000009, label: geography} + - {column: D, row: 8669, expected_value: All persons, label: sex} + - {column: E, row: 8669, expected_value: Employee, label: employment type} + - {column: J, row: 8669, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8671 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8671, expected_value: E12000009, label: geography} + - {column: D, row: 8671, expected_value: All persons, label: sex} + - {column: E, row: 8671, expected_value: Employee, label: employment type} + - {column: J, row: 8671, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8673 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8673, expected_value: E12000009, label: geography} + - {column: D, row: 8673, expected_value: All persons, label: sex} + - {column: E, row: 8673, expected_value: Employee, label: employment type} + - {column: J, row: 8673, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8675 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8675, expected_value: E12000009, label: geography} + - {column: D, row: 8675, expected_value: All persons, label: sex} + - {column: E, row: 8675, expected_value: Employee, label: employment type} + - {column: J, row: 8675, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8677 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8677, expected_value: E12000009, label: geography} + - {column: D, row: 8677, expected_value: All persons, label: sex} + - {column: E, row: 8677, expected_value: Employee, label: employment type} + - {column: J, row: 8677, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8679 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8679, expected_value: E12000009, label: geography} + - {column: D, row: 8679, expected_value: All persons, label: sex} + - {column: E, row: 8679, expected_value: Employee, label: employment type} + - {column: J, row: 8679, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8681 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8681, expected_value: E12000009, label: geography} + - {column: D, row: 8681, expected_value: All persons, label: sex} + - {column: E, row: 8681, expected_value: Employee, label: employment type} + - {column: J, row: 8681, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8683 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8683, expected_value: E12000009, label: geography} + - {column: D, row: 8683, expected_value: All persons, label: sex} + - {column: E, row: 8683, expected_value: Employee, label: employment type} + - {column: J, row: 8683, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8685 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8685, expected_value: E12000009, label: geography} + - {column: D, row: 8685, expected_value: All persons, label: sex} + - {column: E, row: 8685, expected_value: Employee, label: employment type} + - {column: J, row: 8685, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8687 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8687, expected_value: E12000009, label: geography} + - {column: D, row: 8687, expected_value: All persons, label: sex} + - {column: E, row: 8687, expected_value: Employee, label: employment type} + - {column: J, row: 8687, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8689 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8689, expected_value: E12000009, label: geography} + - {column: D, row: 8689, expected_value: All persons, label: sex} + - {column: E, row: 8689, expected_value: Employee, label: employment type} + - {column: J, row: 8689, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8691 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8691, expected_value: E12000009, label: geography} + - {column: D, row: 8691, expected_value: All persons, label: sex} + - {column: E, row: 8691, expected_value: Employee, label: employment type} + - {column: J, row: 8691, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8693 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8693, expected_value: E12000009, label: geography} + - {column: D, row: 8693, expected_value: All persons, label: sex} + - {column: E, row: 8693, expected_value: Employee, label: employment type} + - {column: J, row: 8693, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8697 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8697, expected_value: E12000009, label: geography} + - {column: D, row: 8697, expected_value: All persons, label: sex} + - {column: E, row: 8697, expected_value: Employee, label: employment type} + - {column: J, row: 8697, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8699 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8699, expected_value: E12000009, label: geography} + - {column: D, row: 8699, expected_value: All persons, label: sex} + - {column: E, row: 8699, expected_value: Employee, label: employment type} + - {column: J, row: 8699, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8701 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8701, expected_value: E12000009, label: geography} + - {column: D, row: 8701, expected_value: All persons, label: sex} + - {column: E, row: 8701, expected_value: Employee, label: employment type} + - {column: J, row: 8701, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8703 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8703, expected_value: E12000009, label: geography} + - {column: D, row: 8703, expected_value: All persons, label: sex} + - {column: E, row: 8703, expected_value: Employee, label: employment type} + - {column: J, row: 8703, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8705 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8705, expected_value: E12000009, label: geography} + - {column: D, row: 8705, expected_value: All persons, label: sex} + - {column: E, row: 8705, expected_value: Employee, label: employment type} + - {column: J, row: 8705, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8707 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8707, expected_value: E12000009, label: geography} + - {column: D, row: 8707, expected_value: All persons, label: sex} + - {column: E, row: 8707, expected_value: Employee, label: employment type} + - {column: J, row: 8707, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8709 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8709, expected_value: E12000009, label: geography} + - {column: D, row: 8709, expected_value: All persons, label: sex} + - {column: E, row: 8709, expected_value: Employee, label: employment type} + - {column: J, row: 8709, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8711 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8711, expected_value: E12000009, label: geography} + - {column: D, row: 8711, expected_value: All persons, label: sex} + - {column: E, row: 8711, expected_value: Employee, label: employment type} + - {column: J, row: 8711, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8713 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8713, expected_value: E12000009, label: geography} + - {column: D, row: 8713, expected_value: All persons, label: sex} + - {column: E, row: 8713, expected_value: Employee, label: employment type} + - {column: J, row: 8713, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8858 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8858, expected_value: E12000009, label: geography} + - {column: D, row: 8858, expected_value: All persons, label: sex} + - {column: E, row: 8858, expected_value: Self-employed, label: employment type} + - {column: J, row: 8858, expected_value: Value, label: measure} + - {column: L, row: 8859, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8860 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8860, expected_value: E12000009, label: geography} + - {column: D, row: 8860, expected_value: All persons, label: sex} + - {column: E, row: 8860, expected_value: Self-employed, label: employment type} + - {column: J, row: 8860, expected_value: Value, label: measure} + - {column: L, row: 8861, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8862 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8862, expected_value: E12000009, label: geography} + - {column: D, row: 8862, expected_value: All persons, label: sex} + - {column: E, row: 8862, expected_value: Self-employed, label: employment type} + - {column: J, row: 8862, expected_value: Value, label: measure} + - {column: L, row: 8863, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8864 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8864, expected_value: E12000009, label: geography} + - {column: D, row: 8864, expected_value: All persons, label: sex} + - {column: E, row: 8864, expected_value: Self-employed, label: employment type} + - {column: J, row: 8864, expected_value: Value, label: measure} + - {column: L, row: 8865, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8866 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8866, expected_value: E12000009, label: geography} + - {column: D, row: 8866, expected_value: All persons, label: sex} + - {column: E, row: 8866, expected_value: Self-employed, label: employment type} + - {column: J, row: 8866, expected_value: Value, label: measure} + - {column: L, row: 8867, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8868 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8868, expected_value: E12000009, label: geography} + - {column: D, row: 8868, expected_value: All persons, label: sex} + - {column: E, row: 8868, expected_value: Self-employed, label: employment type} + - {column: J, row: 8868, expected_value: Value, label: measure} + - {column: L, row: 8869, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8870 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8870, expected_value: E12000009, label: geography} + - {column: D, row: 8870, expected_value: All persons, label: sex} + - {column: E, row: 8870, expected_value: Self-employed, label: employment type} + - {column: J, row: 8870, expected_value: Value, label: measure} + - {column: L, row: 8871, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8872 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8872, expected_value: E12000009, label: geography} + - {column: D, row: 8872, expected_value: All persons, label: sex} + - {column: E, row: 8872, expected_value: Self-employed, label: employment type} + - {column: J, row: 8872, expected_value: Value, label: measure} + - {column: L, row: 8873, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8874 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8874, expected_value: E12000009, label: geography} + - {column: D, row: 8874, expected_value: All persons, label: sex} + - {column: E, row: 8874, expected_value: Self-employed, label: employment type} + - {column: J, row: 8874, expected_value: Value, label: measure} + - {column: L, row: 8875, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8876 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8876, expected_value: E12000009, label: geography} + - {column: D, row: 8876, expected_value: All persons, label: sex} + - {column: E, row: 8876, expected_value: Self-employed, label: employment type} + - {column: J, row: 8876, expected_value: Value, label: measure} + - {column: L, row: 8877, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8878 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8878, expected_value: E12000009, label: geography} + - {column: D, row: 8878, expected_value: All persons, label: sex} + - {column: E, row: 8878, expected_value: Self-employed, label: employment type} + - {column: J, row: 8878, expected_value: Value, label: measure} + - {column: L, row: 8879, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8880 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8880, expected_value: E12000009, label: geography} + - {column: D, row: 8880, expected_value: All persons, label: sex} + - {column: E, row: 8880, expected_value: Self-employed, label: employment type} + - {column: J, row: 8880, expected_value: Value, label: measure} + - {column: L, row: 8881, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8882 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8882, expected_value: E12000009, label: geography} + - {column: D, row: 8882, expected_value: All persons, label: sex} + - {column: E, row: 8882, expected_value: Self-employed, label: employment type} + - {column: J, row: 8882, expected_value: Value, label: measure} + - {column: L, row: 8883, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8884 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8884, expected_value: E12000009, label: geography} + - {column: D, row: 8884, expected_value: All persons, label: sex} + - {column: E, row: 8884, expected_value: Self-employed, label: employment type} + - {column: J, row: 8884, expected_value: Value, label: measure} + - {column: L, row: 8885, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8886 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8886, expected_value: E12000009, label: geography} + - {column: D, row: 8886, expected_value: All persons, label: sex} + - {column: E, row: 8886, expected_value: Self-employed, label: employment type} + - {column: J, row: 8886, expected_value: Value, label: measure} + - {column: L, row: 8887, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8888 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8888, expected_value: E12000009, label: geography} + - {column: D, row: 8888, expected_value: All persons, label: sex} + - {column: E, row: 8888, expected_value: Self-employed, label: employment type} + - {column: J, row: 8888, expected_value: Value, label: measure} + - {column: L, row: 8889, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8890 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8890, expected_value: E12000009, label: geography} + - {column: D, row: 8890, expected_value: All persons, label: sex} + - {column: E, row: 8890, expected_value: Self-employed, label: employment type} + - {column: J, row: 8890, expected_value: Value, label: measure} + - {column: L, row: 8891, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8892 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8892, expected_value: E12000009, label: geography} + - {column: D, row: 8892, expected_value: All persons, label: sex} + - {column: E, row: 8892, expected_value: Self-employed, label: employment type} + - {column: J, row: 8892, expected_value: Value, label: measure} + - {column: L, row: 8893, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8894 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8894, expected_value: E12000009, label: geography} + - {column: D, row: 8894, expected_value: All persons, label: sex} + - {column: E, row: 8894, expected_value: Self-employed, label: employment type} + - {column: J, row: 8894, expected_value: Value, label: measure} + - {column: L, row: 8895, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8896 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8896, expected_value: E12000009, label: geography} + - {column: D, row: 8896, expected_value: All persons, label: sex} + - {column: E, row: 8896, expected_value: Self-employed, label: employment type} + - {column: J, row: 8896, expected_value: Value, label: measure} + - {column: L, row: 8897, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8898 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8898, expected_value: E12000009, label: geography} + - {column: D, row: 8898, expected_value: All persons, label: sex} + - {column: E, row: 8898, expected_value: Self-employed, label: employment type} + - {column: J, row: 8898, expected_value: Value, label: measure} + - {column: L, row: 8899, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8900 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8900, expected_value: E12000009, label: geography} + - {column: D, row: 8900, expected_value: All persons, label: sex} + - {column: E, row: 8900, expected_value: Self-employed, label: employment type} + - {column: J, row: 8900, expected_value: Value, label: measure} + - {column: L, row: 8901, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8902 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8902, expected_value: E12000009, label: geography} + - {column: D, row: 8902, expected_value: All persons, label: sex} + - {column: E, row: 8902, expected_value: Self-employed, label: employment type} + - {column: J, row: 8902, expected_value: Value, label: measure} + - {column: L, row: 8903, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8904 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8904, expected_value: E12000009, label: geography} + - {column: D, row: 8904, expected_value: All persons, label: sex} + - {column: E, row: 8904, expected_value: Self-employed, label: employment type} + - {column: J, row: 8904, expected_value: Value, label: measure} + - {column: L, row: 8905, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8906 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8906, expected_value: E12000009, label: geography} + - {column: D, row: 8906, expected_value: All persons, label: sex} + - {column: E, row: 8906, expected_value: Self-employed, label: employment type} + - {column: J, row: 8906, expected_value: Value, label: measure} + - {column: L, row: 8907, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8908 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8908, expected_value: E12000009, label: geography} + - {column: D, row: 8908, expected_value: All persons, label: sex} + - {column: E, row: 8908, expected_value: Self-employed, label: employment type} + - {column: J, row: 8908, expected_value: Value, label: measure} + - {column: L, row: 8909, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8912 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8912, expected_value: E12000009, label: geography} + - {column: D, row: 8912, expected_value: All persons, label: sex} + - {column: E, row: 8912, expected_value: Self-employed, label: employment type} + - {column: J, row: 8912, expected_value: Value, label: measure} + - {column: L, row: 8913, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8914 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8914, expected_value: E12000009, label: geography} + - {column: D, row: 8914, expected_value: All persons, label: sex} + - {column: E, row: 8914, expected_value: Self-employed, label: employment type} + - {column: J, row: 8914, expected_value: Value, label: measure} + - {column: L, row: 8915, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8918 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8918, expected_value: E12000009, label: geography} + - {column: D, row: 8918, expected_value: All persons, label: sex} + - {column: E, row: 8918, expected_value: Self-employed, label: employment type} + - {column: J, row: 8918, expected_value: Value, label: measure} + - {column: L, row: 8919, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8920 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8920, expected_value: E12000009, label: geography} + - {column: D, row: 8920, expected_value: All persons, label: sex} + - {column: E, row: 8920, expected_value: Self-employed, label: employment type} + - {column: J, row: 8920, expected_value: Value, label: measure} + - {column: L, row: 8921, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8922 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8922, expected_value: E12000009, label: geography} + - {column: D, row: 8922, expected_value: All persons, label: sex} + - {column: E, row: 8922, expected_value: Self-employed, label: employment type} + - {column: J, row: 8922, expected_value: Value, label: measure} + - {column: L, row: 8923, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8924 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8924, expected_value: E12000009, label: geography} + - {column: D, row: 8924, expected_value: All persons, label: sex} + - {column: E, row: 8924, expected_value: Self-employed, label: employment type} + - {column: J, row: 8924, expected_value: Value, label: measure} + - {column: L, row: 8925, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8926 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8926, expected_value: E12000009, label: geography} + - {column: D, row: 8926, expected_value: All persons, label: sex} + - {column: E, row: 8926, expected_value: Self-employed, label: employment type} + - {column: J, row: 8926, expected_value: Value, label: measure} + - {column: L, row: 8927, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8928 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8928, expected_value: E12000009, label: geography} + - {column: D, row: 8928, expected_value: All persons, label: sex} + - {column: E, row: 8928, expected_value: Self-employed, label: employment type} + - {column: J, row: 8928, expected_value: Value, label: measure} + - {column: L, row: 8929, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8859 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8859, expected_value: E12000009, label: geography} + - {column: D, row: 8859, expected_value: All persons, label: sex} + - {column: E, row: 8859, expected_value: Self-employed, label: employment type} + - {column: J, row: 8859, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8861 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8861, expected_value: E12000009, label: geography} + - {column: D, row: 8861, expected_value: All persons, label: sex} + - {column: E, row: 8861, expected_value: Self-employed, label: employment type} + - {column: J, row: 8861, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8863 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8863, expected_value: E12000009, label: geography} + - {column: D, row: 8863, expected_value: All persons, label: sex} + - {column: E, row: 8863, expected_value: Self-employed, label: employment type} + - {column: J, row: 8863, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8865 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8865, expected_value: E12000009, label: geography} + - {column: D, row: 8865, expected_value: All persons, label: sex} + - {column: E, row: 8865, expected_value: Self-employed, label: employment type} + - {column: J, row: 8865, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8867 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8867, expected_value: E12000009, label: geography} + - {column: D, row: 8867, expected_value: All persons, label: sex} + - {column: E, row: 8867, expected_value: Self-employed, label: employment type} + - {column: J, row: 8867, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8869 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8869, expected_value: E12000009, label: geography} + - {column: D, row: 8869, expected_value: All persons, label: sex} + - {column: E, row: 8869, expected_value: Self-employed, label: employment type} + - {column: J, row: 8869, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8871 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8871, expected_value: E12000009, label: geography} + - {column: D, row: 8871, expected_value: All persons, label: sex} + - {column: E, row: 8871, expected_value: Self-employed, label: employment type} + - {column: J, row: 8871, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8873 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8873, expected_value: E12000009, label: geography} + - {column: D, row: 8873, expected_value: All persons, label: sex} + - {column: E, row: 8873, expected_value: Self-employed, label: employment type} + - {column: J, row: 8873, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8875 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8875, expected_value: E12000009, label: geography} + - {column: D, row: 8875, expected_value: All persons, label: sex} + - {column: E, row: 8875, expected_value: Self-employed, label: employment type} + - {column: J, row: 8875, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8877 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8877, expected_value: E12000009, label: geography} + - {column: D, row: 8877, expected_value: All persons, label: sex} + - {column: E, row: 8877, expected_value: Self-employed, label: employment type} + - {column: J, row: 8877, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8879 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8879, expected_value: E12000009, label: geography} + - {column: D, row: 8879, expected_value: All persons, label: sex} + - {column: E, row: 8879, expected_value: Self-employed, label: employment type} + - {column: J, row: 8879, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8881 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8881, expected_value: E12000009, label: geography} + - {column: D, row: 8881, expected_value: All persons, label: sex} + - {column: E, row: 8881, expected_value: Self-employed, label: employment type} + - {column: J, row: 8881, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8885 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8885, expected_value: E12000009, label: geography} + - {column: D, row: 8885, expected_value: All persons, label: sex} + - {column: E, row: 8885, expected_value: Self-employed, label: employment type} + - {column: J, row: 8885, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8887 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8887, expected_value: E12000009, label: geography} + - {column: D, row: 8887, expected_value: All persons, label: sex} + - {column: E, row: 8887, expected_value: Self-employed, label: employment type} + - {column: J, row: 8887, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8889 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8889, expected_value: E12000009, label: geography} + - {column: D, row: 8889, expected_value: All persons, label: sex} + - {column: E, row: 8889, expected_value: Self-employed, label: employment type} + - {column: J, row: 8889, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8891 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8891, expected_value: E12000009, label: geography} + - {column: D, row: 8891, expected_value: All persons, label: sex} + - {column: E, row: 8891, expected_value: Self-employed, label: employment type} + - {column: J, row: 8891, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8895 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8895, expected_value: E12000009, label: geography} + - {column: D, row: 8895, expected_value: All persons, label: sex} + - {column: E, row: 8895, expected_value: Self-employed, label: employment type} + - {column: J, row: 8895, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8897 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8897, expected_value: E12000009, label: geography} + - {column: D, row: 8897, expected_value: All persons, label: sex} + - {column: E, row: 8897, expected_value: Self-employed, label: employment type} + - {column: J, row: 8897, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8899 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8899, expected_value: E12000009, label: geography} + - {column: D, row: 8899, expected_value: All persons, label: sex} + - {column: E, row: 8899, expected_value: Self-employed, label: employment type} + - {column: J, row: 8899, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8901 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8901, expected_value: E12000009, label: geography} + - {column: D, row: 8901, expected_value: All persons, label: sex} + - {column: E, row: 8901, expected_value: Self-employed, label: employment type} + - {column: J, row: 8901, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8903 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8903, expected_value: E12000009, label: geography} + - {column: D, row: 8903, expected_value: All persons, label: sex} + - {column: E, row: 8903, expected_value: Self-employed, label: employment type} + - {column: J, row: 8903, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8905 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8905, expected_value: E12000009, label: geography} + - {column: D, row: 8905, expected_value: All persons, label: sex} + - {column: E, row: 8905, expected_value: Self-employed, label: employment type} + - {column: J, row: 8905, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8907 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8907, expected_value: E12000009, label: geography} + - {column: D, row: 8907, expected_value: All persons, label: sex} + - {column: E, row: 8907, expected_value: Self-employed, label: employment type} + - {column: J, row: 8907, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8909 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8909, expected_value: E12000009, label: geography} + - {column: D, row: 8909, expected_value: All persons, label: sex} + - {column: E, row: 8909, expected_value: Self-employed, label: employment type} + - {column: J, row: 8909, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8913 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8913, expected_value: E12000009, label: geography} + - {column: D, row: 8913, expected_value: All persons, label: sex} + - {column: E, row: 8913, expected_value: Self-employed, label: employment type} + - {column: J, row: 8913, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8915 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8915, expected_value: E12000009, label: geography} + - {column: D, row: 8915, expected_value: All persons, label: sex} + - {column: E, row: 8915, expected_value: Self-employed, label: employment type} + - {column: J, row: 8915, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8919 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8919, expected_value: E12000009, label: geography} + - {column: D, row: 8919, expected_value: All persons, label: sex} + - {column: E, row: 8919, expected_value: Self-employed, label: employment type} + - {column: J, row: 8919, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8921 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8921, expected_value: E12000009, label: geography} + - {column: D, row: 8921, expected_value: All persons, label: sex} + - {column: E, row: 8921, expected_value: Self-employed, label: employment type} + - {column: J, row: 8921, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8923 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8923, expected_value: E12000009, label: geography} + - {column: D, row: 8923, expected_value: All persons, label: sex} + - {column: E, row: 8923, expected_value: Self-employed, label: employment type} + - {column: J, row: 8923, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8925 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8925, expected_value: E12000009, label: geography} + - {column: D, row: 8925, expected_value: All persons, label: sex} + - {column: E, row: 8925, expected_value: Self-employed, label: employment type} + - {column: J, row: 8925, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8927 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8927, expected_value: E12000009, label: geography} + - {column: D, row: 8927, expected_value: All persons, label: sex} + - {column: E, row: 8927, expected_value: Self-employed, label: employment type} + - {column: J, row: 8927, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8929 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8929, expected_value: E12000009, label: geography} + - {column: D, row: 8929, expected_value: All persons, label: sex} + - {column: E, row: 8929, expected_value: Self-employed, label: employment type} + - {column: J, row: 8929, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8498 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8498, expected_value: E12000009, label: geography} + - {column: D, row: 8498, expected_value: Males, label: sex} + - {column: E, row: 8498, expected_value: Total, label: employment type} + - {column: J, row: 8498, expected_value: Value, label: measure} + - {column: L, row: 8499, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8500 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8500, expected_value: E12000009, label: geography} + - {column: D, row: 8500, expected_value: Males, label: sex} + - {column: E, row: 8500, expected_value: Total, label: employment type} + - {column: J, row: 8500, expected_value: Value, label: measure} + - {column: L, row: 8501, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8502 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8502, expected_value: E12000009, label: geography} + - {column: D, row: 8502, expected_value: Males, label: sex} + - {column: E, row: 8502, expected_value: Total, label: employment type} + - {column: J, row: 8502, expected_value: Value, label: measure} + - {column: L, row: 8503, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8504 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8504, expected_value: E12000009, label: geography} + - {column: D, row: 8504, expected_value: Males, label: sex} + - {column: E, row: 8504, expected_value: Total, label: employment type} + - {column: J, row: 8504, expected_value: Value, label: measure} + - {column: L, row: 8505, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8506 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8506, expected_value: E12000009, label: geography} + - {column: D, row: 8506, expected_value: Males, label: sex} + - {column: E, row: 8506, expected_value: Total, label: employment type} + - {column: J, row: 8506, expected_value: Value, label: measure} + - {column: L, row: 8507, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8508 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8508, expected_value: E12000009, label: geography} + - {column: D, row: 8508, expected_value: Males, label: sex} + - {column: E, row: 8508, expected_value: Total, label: employment type} + - {column: J, row: 8508, expected_value: Value, label: measure} + - {column: L, row: 8509, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8510 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8510, expected_value: E12000009, label: geography} + - {column: D, row: 8510, expected_value: Males, label: sex} + - {column: E, row: 8510, expected_value: Total, label: employment type} + - {column: J, row: 8510, expected_value: Value, label: measure} + - {column: L, row: 8511, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8512 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8512, expected_value: E12000009, label: geography} + - {column: D, row: 8512, expected_value: Males, label: sex} + - {column: E, row: 8512, expected_value: Total, label: employment type} + - {column: J, row: 8512, expected_value: Value, label: measure} + - {column: L, row: 8513, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8514 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8514, expected_value: E12000009, label: geography} + - {column: D, row: 8514, expected_value: Males, label: sex} + - {column: E, row: 8514, expected_value: Total, label: employment type} + - {column: J, row: 8514, expected_value: Value, label: measure} + - {column: L, row: 8515, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8516 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8516, expected_value: E12000009, label: geography} + - {column: D, row: 8516, expected_value: Males, label: sex} + - {column: E, row: 8516, expected_value: Total, label: employment type} + - {column: J, row: 8516, expected_value: Value, label: measure} + - {column: L, row: 8517, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8518 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8518, expected_value: E12000009, label: geography} + - {column: D, row: 8518, expected_value: Males, label: sex} + - {column: E, row: 8518, expected_value: Total, label: employment type} + - {column: J, row: 8518, expected_value: Value, label: measure} + - {column: L, row: 8519, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8520 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8520, expected_value: E12000009, label: geography} + - {column: D, row: 8520, expected_value: Males, label: sex} + - {column: E, row: 8520, expected_value: Total, label: employment type} + - {column: J, row: 8520, expected_value: Value, label: measure} + - {column: L, row: 8521, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8522 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8522, expected_value: E12000009, label: geography} + - {column: D, row: 8522, expected_value: Males, label: sex} + - {column: E, row: 8522, expected_value: Total, label: employment type} + - {column: J, row: 8522, expected_value: Value, label: measure} + - {column: L, row: 8523, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8524 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8524, expected_value: E12000009, label: geography} + - {column: D, row: 8524, expected_value: Males, label: sex} + - {column: E, row: 8524, expected_value: Total, label: employment type} + - {column: J, row: 8524, expected_value: Value, label: measure} + - {column: L, row: 8525, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8526 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8526, expected_value: E12000009, label: geography} + - {column: D, row: 8526, expected_value: Males, label: sex} + - {column: E, row: 8526, expected_value: Total, label: employment type} + - {column: J, row: 8526, expected_value: Value, label: measure} + - {column: L, row: 8527, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8528 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8528, expected_value: E12000009, label: geography} + - {column: D, row: 8528, expected_value: Males, label: sex} + - {column: E, row: 8528, expected_value: Total, label: employment type} + - {column: J, row: 8528, expected_value: Value, label: measure} + - {column: L, row: 8529, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8530 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8530, expected_value: E12000009, label: geography} + - {column: D, row: 8530, expected_value: Males, label: sex} + - {column: E, row: 8530, expected_value: Total, label: employment type} + - {column: J, row: 8530, expected_value: Value, label: measure} + - {column: L, row: 8531, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8532 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8532, expected_value: E12000009, label: geography} + - {column: D, row: 8532, expected_value: Males, label: sex} + - {column: E, row: 8532, expected_value: Total, label: employment type} + - {column: J, row: 8532, expected_value: Value, label: measure} + - {column: L, row: 8533, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8534 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8534, expected_value: E12000009, label: geography} + - {column: D, row: 8534, expected_value: Males, label: sex} + - {column: E, row: 8534, expected_value: Total, label: employment type} + - {column: J, row: 8534, expected_value: Value, label: measure} + - {column: L, row: 8535, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8536 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8536, expected_value: E12000009, label: geography} + - {column: D, row: 8536, expected_value: Males, label: sex} + - {column: E, row: 8536, expected_value: Total, label: employment type} + - {column: J, row: 8536, expected_value: Value, label: measure} + - {column: L, row: 8537, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8538 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8538, expected_value: E12000009, label: geography} + - {column: D, row: 8538, expected_value: Males, label: sex} + - {column: E, row: 8538, expected_value: Total, label: employment type} + - {column: J, row: 8538, expected_value: Value, label: measure} + - {column: L, row: 8539, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8540 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8540, expected_value: E12000009, label: geography} + - {column: D, row: 8540, expected_value: Males, label: sex} + - {column: E, row: 8540, expected_value: Total, label: employment type} + - {column: J, row: 8540, expected_value: Value, label: measure} + - {column: L, row: 8541, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8542 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8542, expected_value: E12000009, label: geography} + - {column: D, row: 8542, expected_value: Males, label: sex} + - {column: E, row: 8542, expected_value: Total, label: employment type} + - {column: J, row: 8542, expected_value: Value, label: measure} + - {column: L, row: 8543, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8544 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8544, expected_value: E12000009, label: geography} + - {column: D, row: 8544, expected_value: Males, label: sex} + - {column: E, row: 8544, expected_value: Total, label: employment type} + - {column: J, row: 8544, expected_value: Value, label: measure} + - {column: L, row: 8545, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8546 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8546, expected_value: E12000009, label: geography} + - {column: D, row: 8546, expected_value: Males, label: sex} + - {column: E, row: 8546, expected_value: Total, label: employment type} + - {column: J, row: 8546, expected_value: Value, label: measure} + - {column: L, row: 8547, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8548 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8548, expected_value: E12000009, label: geography} + - {column: D, row: 8548, expected_value: Males, label: sex} + - {column: E, row: 8548, expected_value: Total, label: employment type} + - {column: J, row: 8548, expected_value: Value, label: measure} + - {column: L, row: 8549, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8550 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8550, expected_value: E12000009, label: geography} + - {column: D, row: 8550, expected_value: Males, label: sex} + - {column: E, row: 8550, expected_value: Total, label: employment type} + - {column: J, row: 8550, expected_value: Value, label: measure} + - {column: L, row: 8551, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8552 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8552, expected_value: E12000009, label: geography} + - {column: D, row: 8552, expected_value: Males, label: sex} + - {column: E, row: 8552, expected_value: Total, label: employment type} + - {column: J, row: 8552, expected_value: Value, label: measure} + - {column: L, row: 8553, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8554 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8554, expected_value: E12000009, label: geography} + - {column: D, row: 8554, expected_value: Males, label: sex} + - {column: E, row: 8554, expected_value: Total, label: employment type} + - {column: J, row: 8554, expected_value: Value, label: measure} + - {column: L, row: 8555, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8556 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8556, expected_value: E12000009, label: geography} + - {column: D, row: 8556, expected_value: Males, label: sex} + - {column: E, row: 8556, expected_value: Total, label: employment type} + - {column: J, row: 8556, expected_value: Value, label: measure} + - {column: L, row: 8557, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8558 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8558, expected_value: E12000009, label: geography} + - {column: D, row: 8558, expected_value: Males, label: sex} + - {column: E, row: 8558, expected_value: Total, label: employment type} + - {column: J, row: 8558, expected_value: Value, label: measure} + - {column: L, row: 8559, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8560 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8560, expected_value: E12000009, label: geography} + - {column: D, row: 8560, expected_value: Males, label: sex} + - {column: E, row: 8560, expected_value: Total, label: employment type} + - {column: J, row: 8560, expected_value: Value, label: measure} + - {column: L, row: 8561, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8562 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8562, expected_value: E12000009, label: geography} + - {column: D, row: 8562, expected_value: Males, label: sex} + - {column: E, row: 8562, expected_value: Total, label: employment type} + - {column: J, row: 8562, expected_value: Value, label: measure} + - {column: L, row: 8563, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8564 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8564, expected_value: E12000009, label: geography} + - {column: D, row: 8564, expected_value: Males, label: sex} + - {column: E, row: 8564, expected_value: Total, label: employment type} + - {column: J, row: 8564, expected_value: Value, label: measure} + - {column: L, row: 8565, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8566 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8566, expected_value: E12000009, label: geography} + - {column: D, row: 8566, expected_value: Males, label: sex} + - {column: E, row: 8566, expected_value: Total, label: employment type} + - {column: J, row: 8566, expected_value: Value, label: measure} + - {column: L, row: 8567, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8568 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8568, expected_value: E12000009, label: geography} + - {column: D, row: 8568, expected_value: Males, label: sex} + - {column: E, row: 8568, expected_value: Total, label: employment type} + - {column: J, row: 8568, expected_value: Value, label: measure} + - {column: L, row: 8569, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8499 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8499, expected_value: E12000009, label: geography} + - {column: D, row: 8499, expected_value: Males, label: sex} + - {column: E, row: 8499, expected_value: Total, label: employment type} + - {column: J, row: 8499, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8501 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8501, expected_value: E12000009, label: geography} + - {column: D, row: 8501, expected_value: Males, label: sex} + - {column: E, row: 8501, expected_value: Total, label: employment type} + - {column: J, row: 8501, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8503 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8503, expected_value: E12000009, label: geography} + - {column: D, row: 8503, expected_value: Males, label: sex} + - {column: E, row: 8503, expected_value: Total, label: employment type} + - {column: J, row: 8503, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8505 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8505, expected_value: E12000009, label: geography} + - {column: D, row: 8505, expected_value: Males, label: sex} + - {column: E, row: 8505, expected_value: Total, label: employment type} + - {column: J, row: 8505, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8507 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8507, expected_value: E12000009, label: geography} + - {column: D, row: 8507, expected_value: Males, label: sex} + - {column: E, row: 8507, expected_value: Total, label: employment type} + - {column: J, row: 8507, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8509 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8509, expected_value: E12000009, label: geography} + - {column: D, row: 8509, expected_value: Males, label: sex} + - {column: E, row: 8509, expected_value: Total, label: employment type} + - {column: J, row: 8509, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8511 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8511, expected_value: E12000009, label: geography} + - {column: D, row: 8511, expected_value: Males, label: sex} + - {column: E, row: 8511, expected_value: Total, label: employment type} + - {column: J, row: 8511, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8513 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8513, expected_value: E12000009, label: geography} + - {column: D, row: 8513, expected_value: Males, label: sex} + - {column: E, row: 8513, expected_value: Total, label: employment type} + - {column: J, row: 8513, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8515 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8515, expected_value: E12000009, label: geography} + - {column: D, row: 8515, expected_value: Males, label: sex} + - {column: E, row: 8515, expected_value: Total, label: employment type} + - {column: J, row: 8515, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8517 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8517, expected_value: E12000009, label: geography} + - {column: D, row: 8517, expected_value: Males, label: sex} + - {column: E, row: 8517, expected_value: Total, label: employment type} + - {column: J, row: 8517, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8519 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8519, expected_value: E12000009, label: geography} + - {column: D, row: 8519, expected_value: Males, label: sex} + - {column: E, row: 8519, expected_value: Total, label: employment type} + - {column: J, row: 8519, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8521 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8521, expected_value: E12000009, label: geography} + - {column: D, row: 8521, expected_value: Males, label: sex} + - {column: E, row: 8521, expected_value: Total, label: employment type} + - {column: J, row: 8521, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8523 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8523, expected_value: E12000009, label: geography} + - {column: D, row: 8523, expected_value: Males, label: sex} + - {column: E, row: 8523, expected_value: Total, label: employment type} + - {column: J, row: 8523, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8525 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8525, expected_value: E12000009, label: geography} + - {column: D, row: 8525, expected_value: Males, label: sex} + - {column: E, row: 8525, expected_value: Total, label: employment type} + - {column: J, row: 8525, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8527 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8527, expected_value: E12000009, label: geography} + - {column: D, row: 8527, expected_value: Males, label: sex} + - {column: E, row: 8527, expected_value: Total, label: employment type} + - {column: J, row: 8527, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8529 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8529, expected_value: E12000009, label: geography} + - {column: D, row: 8529, expected_value: Males, label: sex} + - {column: E, row: 8529, expected_value: Total, label: employment type} + - {column: J, row: 8529, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8531 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8531, expected_value: E12000009, label: geography} + - {column: D, row: 8531, expected_value: Males, label: sex} + - {column: E, row: 8531, expected_value: Total, label: employment type} + - {column: J, row: 8531, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8535 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8535, expected_value: E12000009, label: geography} + - {column: D, row: 8535, expected_value: Males, label: sex} + - {column: E, row: 8535, expected_value: Total, label: employment type} + - {column: J, row: 8535, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8537 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8537, expected_value: E12000009, label: geography} + - {column: D, row: 8537, expected_value: Males, label: sex} + - {column: E, row: 8537, expected_value: Total, label: employment type} + - {column: J, row: 8537, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8539 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8539, expected_value: E12000009, label: geography} + - {column: D, row: 8539, expected_value: Males, label: sex} + - {column: E, row: 8539, expected_value: Total, label: employment type} + - {column: J, row: 8539, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8541 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8541, expected_value: E12000009, label: geography} + - {column: D, row: 8541, expected_value: Males, label: sex} + - {column: E, row: 8541, expected_value: Total, label: employment type} + - {column: J, row: 8541, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8543 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8543, expected_value: E12000009, label: geography} + - {column: D, row: 8543, expected_value: Males, label: sex} + - {column: E, row: 8543, expected_value: Total, label: employment type} + - {column: J, row: 8543, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8545 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8545, expected_value: E12000009, label: geography} + - {column: D, row: 8545, expected_value: Males, label: sex} + - {column: E, row: 8545, expected_value: Total, label: employment type} + - {column: J, row: 8545, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8547 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8547, expected_value: E12000009, label: geography} + - {column: D, row: 8547, expected_value: Males, label: sex} + - {column: E, row: 8547, expected_value: Total, label: employment type} + - {column: J, row: 8547, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8549 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8549, expected_value: E12000009, label: geography} + - {column: D, row: 8549, expected_value: Males, label: sex} + - {column: E, row: 8549, expected_value: Total, label: employment type} + - {column: J, row: 8549, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8553 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8553, expected_value: E12000009, label: geography} + - {column: D, row: 8553, expected_value: Males, label: sex} + - {column: E, row: 8553, expected_value: Total, label: employment type} + - {column: J, row: 8553, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8555 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8555, expected_value: E12000009, label: geography} + - {column: D, row: 8555, expected_value: Males, label: sex} + - {column: E, row: 8555, expected_value: Total, label: employment type} + - {column: J, row: 8555, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8557 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8557, expected_value: E12000009, label: geography} + - {column: D, row: 8557, expected_value: Males, label: sex} + - {column: E, row: 8557, expected_value: Total, label: employment type} + - {column: J, row: 8557, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8559 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8559, expected_value: E12000009, label: geography} + - {column: D, row: 8559, expected_value: Males, label: sex} + - {column: E, row: 8559, expected_value: Total, label: employment type} + - {column: J, row: 8559, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8561 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8561, expected_value: E12000009, label: geography} + - {column: D, row: 8561, expected_value: Males, label: sex} + - {column: E, row: 8561, expected_value: Total, label: employment type} + - {column: J, row: 8561, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8563 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8563, expected_value: E12000009, label: geography} + - {column: D, row: 8563, expected_value: Males, label: sex} + - {column: E, row: 8563, expected_value: Total, label: employment type} + - {column: J, row: 8563, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8565 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8565, expected_value: E12000009, label: geography} + - {column: D, row: 8565, expected_value: Males, label: sex} + - {column: E, row: 8565, expected_value: Total, label: employment type} + - {column: J, row: 8565, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8567 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8567, expected_value: E12000009, label: geography} + - {column: D, row: 8567, expected_value: Males, label: sex} + - {column: E, row: 8567, expected_value: Total, label: employment type} + - {column: J, row: 8567, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8569 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8569, expected_value: E12000009, label: geography} + - {column: D, row: 8569, expected_value: Males, label: sex} + - {column: E, row: 8569, expected_value: Total, label: employment type} + - {column: J, row: 8569, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8714 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8714, expected_value: E12000009, label: geography} + - {column: D, row: 8714, expected_value: Males, label: sex} + - {column: E, row: 8714, expected_value: Employee, label: employment type} + - {column: J, row: 8714, expected_value: Value, label: measure} + - {column: L, row: 8715, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8716 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8716, expected_value: E12000009, label: geography} + - {column: D, row: 8716, expected_value: Males, label: sex} + - {column: E, row: 8716, expected_value: Employee, label: employment type} + - {column: J, row: 8716, expected_value: Value, label: measure} + - {column: L, row: 8717, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8718 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8718, expected_value: E12000009, label: geography} + - {column: D, row: 8718, expected_value: Males, label: sex} + - {column: E, row: 8718, expected_value: Employee, label: employment type} + - {column: J, row: 8718, expected_value: Value, label: measure} + - {column: L, row: 8719, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8720 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8720, expected_value: E12000009, label: geography} + - {column: D, row: 8720, expected_value: Males, label: sex} + - {column: E, row: 8720, expected_value: Employee, label: employment type} + - {column: J, row: 8720, expected_value: Value, label: measure} + - {column: L, row: 8721, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8722 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8722, expected_value: E12000009, label: geography} + - {column: D, row: 8722, expected_value: Males, label: sex} + - {column: E, row: 8722, expected_value: Employee, label: employment type} + - {column: J, row: 8722, expected_value: Value, label: measure} + - {column: L, row: 8723, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8724 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8724, expected_value: E12000009, label: geography} + - {column: D, row: 8724, expected_value: Males, label: sex} + - {column: E, row: 8724, expected_value: Employee, label: employment type} + - {column: J, row: 8724, expected_value: Value, label: measure} + - {column: L, row: 8725, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8726 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8726, expected_value: E12000009, label: geography} + - {column: D, row: 8726, expected_value: Males, label: sex} + - {column: E, row: 8726, expected_value: Employee, label: employment type} + - {column: J, row: 8726, expected_value: Value, label: measure} + - {column: L, row: 8727, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8728 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8728, expected_value: E12000009, label: geography} + - {column: D, row: 8728, expected_value: Males, label: sex} + - {column: E, row: 8728, expected_value: Employee, label: employment type} + - {column: J, row: 8728, expected_value: Value, label: measure} + - {column: L, row: 8729, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8730 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8730, expected_value: E12000009, label: geography} + - {column: D, row: 8730, expected_value: Males, label: sex} + - {column: E, row: 8730, expected_value: Employee, label: employment type} + - {column: J, row: 8730, expected_value: Value, label: measure} + - {column: L, row: 8731, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8732 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8732, expected_value: E12000009, label: geography} + - {column: D, row: 8732, expected_value: Males, label: sex} + - {column: E, row: 8732, expected_value: Employee, label: employment type} + - {column: J, row: 8732, expected_value: Value, label: measure} + - {column: L, row: 8733, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8734 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8734, expected_value: E12000009, label: geography} + - {column: D, row: 8734, expected_value: Males, label: sex} + - {column: E, row: 8734, expected_value: Employee, label: employment type} + - {column: J, row: 8734, expected_value: Value, label: measure} + - {column: L, row: 8735, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8736 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8736, expected_value: E12000009, label: geography} + - {column: D, row: 8736, expected_value: Males, label: sex} + - {column: E, row: 8736, expected_value: Employee, label: employment type} + - {column: J, row: 8736, expected_value: Value, label: measure} + - {column: L, row: 8737, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8738 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8738, expected_value: E12000009, label: geography} + - {column: D, row: 8738, expected_value: Males, label: sex} + - {column: E, row: 8738, expected_value: Employee, label: employment type} + - {column: J, row: 8738, expected_value: Value, label: measure} + - {column: L, row: 8739, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8740 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8740, expected_value: E12000009, label: geography} + - {column: D, row: 8740, expected_value: Males, label: sex} + - {column: E, row: 8740, expected_value: Employee, label: employment type} + - {column: J, row: 8740, expected_value: Value, label: measure} + - {column: L, row: 8741, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8742 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8742, expected_value: E12000009, label: geography} + - {column: D, row: 8742, expected_value: Males, label: sex} + - {column: E, row: 8742, expected_value: Employee, label: employment type} + - {column: J, row: 8742, expected_value: Value, label: measure} + - {column: L, row: 8743, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8744 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8744, expected_value: E12000009, label: geography} + - {column: D, row: 8744, expected_value: Males, label: sex} + - {column: E, row: 8744, expected_value: Employee, label: employment type} + - {column: J, row: 8744, expected_value: Value, label: measure} + - {column: L, row: 8745, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8746 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8746, expected_value: E12000009, label: geography} + - {column: D, row: 8746, expected_value: Males, label: sex} + - {column: E, row: 8746, expected_value: Employee, label: employment type} + - {column: J, row: 8746, expected_value: Value, label: measure} + - {column: L, row: 8747, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8748 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8748, expected_value: E12000009, label: geography} + - {column: D, row: 8748, expected_value: Males, label: sex} + - {column: E, row: 8748, expected_value: Employee, label: employment type} + - {column: J, row: 8748, expected_value: Value, label: measure} + - {column: L, row: 8749, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8750 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8750, expected_value: E12000009, label: geography} + - {column: D, row: 8750, expected_value: Males, label: sex} + - {column: E, row: 8750, expected_value: Employee, label: employment type} + - {column: J, row: 8750, expected_value: Value, label: measure} + - {column: L, row: 8751, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8752 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8752, expected_value: E12000009, label: geography} + - {column: D, row: 8752, expected_value: Males, label: sex} + - {column: E, row: 8752, expected_value: Employee, label: employment type} + - {column: J, row: 8752, expected_value: Value, label: measure} + - {column: L, row: 8753, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8754 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8754, expected_value: E12000009, label: geography} + - {column: D, row: 8754, expected_value: Males, label: sex} + - {column: E, row: 8754, expected_value: Employee, label: employment type} + - {column: J, row: 8754, expected_value: Value, label: measure} + - {column: L, row: 8755, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8756 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8756, expected_value: E12000009, label: geography} + - {column: D, row: 8756, expected_value: Males, label: sex} + - {column: E, row: 8756, expected_value: Employee, label: employment type} + - {column: J, row: 8756, expected_value: Value, label: measure} + - {column: L, row: 8757, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8758 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8758, expected_value: E12000009, label: geography} + - {column: D, row: 8758, expected_value: Males, label: sex} + - {column: E, row: 8758, expected_value: Employee, label: employment type} + - {column: J, row: 8758, expected_value: Value, label: measure} + - {column: L, row: 8759, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8760 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8760, expected_value: E12000009, label: geography} + - {column: D, row: 8760, expected_value: Males, label: sex} + - {column: E, row: 8760, expected_value: Employee, label: employment type} + - {column: J, row: 8760, expected_value: Value, label: measure} + - {column: L, row: 8761, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8762 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8762, expected_value: E12000009, label: geography} + - {column: D, row: 8762, expected_value: Males, label: sex} + - {column: E, row: 8762, expected_value: Employee, label: employment type} + - {column: J, row: 8762, expected_value: Value, label: measure} + - {column: L, row: 8763, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8764 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8764, expected_value: E12000009, label: geography} + - {column: D, row: 8764, expected_value: Males, label: sex} + - {column: E, row: 8764, expected_value: Employee, label: employment type} + - {column: J, row: 8764, expected_value: Value, label: measure} + - {column: L, row: 8765, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8766 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8766, expected_value: E12000009, label: geography} + - {column: D, row: 8766, expected_value: Males, label: sex} + - {column: E, row: 8766, expected_value: Employee, label: employment type} + - {column: J, row: 8766, expected_value: Value, label: measure} + - {column: L, row: 8767, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8768 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8768, expected_value: E12000009, label: geography} + - {column: D, row: 8768, expected_value: Males, label: sex} + - {column: E, row: 8768, expected_value: Employee, label: employment type} + - {column: J, row: 8768, expected_value: Value, label: measure} + - {column: L, row: 8769, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8770 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8770, expected_value: E12000009, label: geography} + - {column: D, row: 8770, expected_value: Males, label: sex} + - {column: E, row: 8770, expected_value: Employee, label: employment type} + - {column: J, row: 8770, expected_value: Value, label: measure} + - {column: L, row: 8771, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8772 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8772, expected_value: E12000009, label: geography} + - {column: D, row: 8772, expected_value: Males, label: sex} + - {column: E, row: 8772, expected_value: Employee, label: employment type} + - {column: J, row: 8772, expected_value: Value, label: measure} + - {column: L, row: 8773, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8774 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8774, expected_value: E12000009, label: geography} + - {column: D, row: 8774, expected_value: Males, label: sex} + - {column: E, row: 8774, expected_value: Employee, label: employment type} + - {column: J, row: 8774, expected_value: Value, label: measure} + - {column: L, row: 8775, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8776 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8776, expected_value: E12000009, label: geography} + - {column: D, row: 8776, expected_value: Males, label: sex} + - {column: E, row: 8776, expected_value: Employee, label: employment type} + - {column: J, row: 8776, expected_value: Value, label: measure} + - {column: L, row: 8777, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8778 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8778, expected_value: E12000009, label: geography} + - {column: D, row: 8778, expected_value: Males, label: sex} + - {column: E, row: 8778, expected_value: Employee, label: employment type} + - {column: J, row: 8778, expected_value: Value, label: measure} + - {column: L, row: 8779, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8780 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8780, expected_value: E12000009, label: geography} + - {column: D, row: 8780, expected_value: Males, label: sex} + - {column: E, row: 8780, expected_value: Employee, label: employment type} + - {column: J, row: 8780, expected_value: Value, label: measure} + - {column: L, row: 8781, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8782 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8782, expected_value: E12000009, label: geography} + - {column: D, row: 8782, expected_value: Males, label: sex} + - {column: E, row: 8782, expected_value: Employee, label: employment type} + - {column: J, row: 8782, expected_value: Value, label: measure} + - {column: L, row: 8783, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8784 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8784, expected_value: E12000009, label: geography} + - {column: D, row: 8784, expected_value: Males, label: sex} + - {column: E, row: 8784, expected_value: Employee, label: employment type} + - {column: J, row: 8784, expected_value: Value, label: measure} + - {column: L, row: 8785, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8715 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8715, expected_value: E12000009, label: geography} + - {column: D, row: 8715, expected_value: Males, label: sex} + - {column: E, row: 8715, expected_value: Employee, label: employment type} + - {column: J, row: 8715, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8717 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8717, expected_value: E12000009, label: geography} + - {column: D, row: 8717, expected_value: Males, label: sex} + - {column: E, row: 8717, expected_value: Employee, label: employment type} + - {column: J, row: 8717, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8719 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8719, expected_value: E12000009, label: geography} + - {column: D, row: 8719, expected_value: Males, label: sex} + - {column: E, row: 8719, expected_value: Employee, label: employment type} + - {column: J, row: 8719, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8721 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8721, expected_value: E12000009, label: geography} + - {column: D, row: 8721, expected_value: Males, label: sex} + - {column: E, row: 8721, expected_value: Employee, label: employment type} + - {column: J, row: 8721, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8723 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8723, expected_value: E12000009, label: geography} + - {column: D, row: 8723, expected_value: Males, label: sex} + - {column: E, row: 8723, expected_value: Employee, label: employment type} + - {column: J, row: 8723, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8725 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8725, expected_value: E12000009, label: geography} + - {column: D, row: 8725, expected_value: Males, label: sex} + - {column: E, row: 8725, expected_value: Employee, label: employment type} + - {column: J, row: 8725, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8727 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8727, expected_value: E12000009, label: geography} + - {column: D, row: 8727, expected_value: Males, label: sex} + - {column: E, row: 8727, expected_value: Employee, label: employment type} + - {column: J, row: 8727, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8729 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8729, expected_value: E12000009, label: geography} + - {column: D, row: 8729, expected_value: Males, label: sex} + - {column: E, row: 8729, expected_value: Employee, label: employment type} + - {column: J, row: 8729, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8731 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8731, expected_value: E12000009, label: geography} + - {column: D, row: 8731, expected_value: Males, label: sex} + - {column: E, row: 8731, expected_value: Employee, label: employment type} + - {column: J, row: 8731, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8733 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8733, expected_value: E12000009, label: geography} + - {column: D, row: 8733, expected_value: Males, label: sex} + - {column: E, row: 8733, expected_value: Employee, label: employment type} + - {column: J, row: 8733, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8735 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8735, expected_value: E12000009, label: geography} + - {column: D, row: 8735, expected_value: Males, label: sex} + - {column: E, row: 8735, expected_value: Employee, label: employment type} + - {column: J, row: 8735, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8737 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8737, expected_value: E12000009, label: geography} + - {column: D, row: 8737, expected_value: Males, label: sex} + - {column: E, row: 8737, expected_value: Employee, label: employment type} + - {column: J, row: 8737, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8739 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8739, expected_value: E12000009, label: geography} + - {column: D, row: 8739, expected_value: Males, label: sex} + - {column: E, row: 8739, expected_value: Employee, label: employment type} + - {column: J, row: 8739, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8741 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8741, expected_value: E12000009, label: geography} + - {column: D, row: 8741, expected_value: Males, label: sex} + - {column: E, row: 8741, expected_value: Employee, label: employment type} + - {column: J, row: 8741, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8743 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8743, expected_value: E12000009, label: geography} + - {column: D, row: 8743, expected_value: Males, label: sex} + - {column: E, row: 8743, expected_value: Employee, label: employment type} + - {column: J, row: 8743, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8745 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8745, expected_value: E12000009, label: geography} + - {column: D, row: 8745, expected_value: Males, label: sex} + - {column: E, row: 8745, expected_value: Employee, label: employment type} + - {column: J, row: 8745, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8747 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8747, expected_value: E12000009, label: geography} + - {column: D, row: 8747, expected_value: Males, label: sex} + - {column: E, row: 8747, expected_value: Employee, label: employment type} + - {column: J, row: 8747, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8751 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8751, expected_value: E12000009, label: geography} + - {column: D, row: 8751, expected_value: Males, label: sex} + - {column: E, row: 8751, expected_value: Employee, label: employment type} + - {column: J, row: 8751, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8753 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8753, expected_value: E12000009, label: geography} + - {column: D, row: 8753, expected_value: Males, label: sex} + - {column: E, row: 8753, expected_value: Employee, label: employment type} + - {column: J, row: 8753, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8755 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8755, expected_value: E12000009, label: geography} + - {column: D, row: 8755, expected_value: Males, label: sex} + - {column: E, row: 8755, expected_value: Employee, label: employment type} + - {column: J, row: 8755, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8757 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8757, expected_value: E12000009, label: geography} + - {column: D, row: 8757, expected_value: Males, label: sex} + - {column: E, row: 8757, expected_value: Employee, label: employment type} + - {column: J, row: 8757, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8759 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8759, expected_value: E12000009, label: geography} + - {column: D, row: 8759, expected_value: Males, label: sex} + - {column: E, row: 8759, expected_value: Employee, label: employment type} + - {column: J, row: 8759, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8761 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8761, expected_value: E12000009, label: geography} + - {column: D, row: 8761, expected_value: Males, label: sex} + - {column: E, row: 8761, expected_value: Employee, label: employment type} + - {column: J, row: 8761, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8763 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8763, expected_value: E12000009, label: geography} + - {column: D, row: 8763, expected_value: Males, label: sex} + - {column: E, row: 8763, expected_value: Employee, label: employment type} + - {column: J, row: 8763, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8765 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8765, expected_value: E12000009, label: geography} + - {column: D, row: 8765, expected_value: Males, label: sex} + - {column: E, row: 8765, expected_value: Employee, label: employment type} + - {column: J, row: 8765, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8769 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8769, expected_value: E12000009, label: geography} + - {column: D, row: 8769, expected_value: Males, label: sex} + - {column: E, row: 8769, expected_value: Employee, label: employment type} + - {column: J, row: 8769, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8771 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8771, expected_value: E12000009, label: geography} + - {column: D, row: 8771, expected_value: Males, label: sex} + - {column: E, row: 8771, expected_value: Employee, label: employment type} + - {column: J, row: 8771, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8773 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8773, expected_value: E12000009, label: geography} + - {column: D, row: 8773, expected_value: Males, label: sex} + - {column: E, row: 8773, expected_value: Employee, label: employment type} + - {column: J, row: 8773, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8775 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8775, expected_value: E12000009, label: geography} + - {column: D, row: 8775, expected_value: Males, label: sex} + - {column: E, row: 8775, expected_value: Employee, label: employment type} + - {column: J, row: 8775, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8777 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8777, expected_value: E12000009, label: geography} + - {column: D, row: 8777, expected_value: Males, label: sex} + - {column: E, row: 8777, expected_value: Employee, label: employment type} + - {column: J, row: 8777, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8779 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8779, expected_value: E12000009, label: geography} + - {column: D, row: 8779, expected_value: Males, label: sex} + - {column: E, row: 8779, expected_value: Employee, label: employment type} + - {column: J, row: 8779, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8781 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8781, expected_value: E12000009, label: geography} + - {column: D, row: 8781, expected_value: Males, label: sex} + - {column: E, row: 8781, expected_value: Employee, label: employment type} + - {column: J, row: 8781, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8783 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8783, expected_value: E12000009, label: geography} + - {column: D, row: 8783, expected_value: Males, label: sex} + - {column: E, row: 8783, expected_value: Employee, label: employment type} + - {column: J, row: 8783, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8785 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8785, expected_value: E12000009, label: geography} + - {column: D, row: 8785, expected_value: Males, label: sex} + - {column: E, row: 8785, expected_value: Employee, label: employment type} + - {column: J, row: 8785, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8930 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8930, expected_value: E12000009, label: geography} + - {column: D, row: 8930, expected_value: Males, label: sex} + - {column: E, row: 8930, expected_value: Self-employed, label: employment type} + - {column: J, row: 8930, expected_value: Value, label: measure} + - {column: L, row: 8931, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8932 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8932, expected_value: E12000009, label: geography} + - {column: D, row: 8932, expected_value: Males, label: sex} + - {column: E, row: 8932, expected_value: Self-employed, label: employment type} + - {column: J, row: 8932, expected_value: Value, label: measure} + - {column: L, row: 8933, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8934 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8934, expected_value: E12000009, label: geography} + - {column: D, row: 8934, expected_value: Males, label: sex} + - {column: E, row: 8934, expected_value: Self-employed, label: employment type} + - {column: J, row: 8934, expected_value: Value, label: measure} + - {column: L, row: 8935, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8936 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8936, expected_value: E12000009, label: geography} + - {column: D, row: 8936, expected_value: Males, label: sex} + - {column: E, row: 8936, expected_value: Self-employed, label: employment type} + - {column: J, row: 8936, expected_value: Value, label: measure} + - {column: L, row: 8937, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8938 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8938, expected_value: E12000009, label: geography} + - {column: D, row: 8938, expected_value: Males, label: sex} + - {column: E, row: 8938, expected_value: Self-employed, label: employment type} + - {column: J, row: 8938, expected_value: Value, label: measure} + - {column: L, row: 8939, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8940 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8940, expected_value: E12000009, label: geography} + - {column: D, row: 8940, expected_value: Males, label: sex} + - {column: E, row: 8940, expected_value: Self-employed, label: employment type} + - {column: J, row: 8940, expected_value: Value, label: measure} + - {column: L, row: 8941, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8942 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8942, expected_value: E12000009, label: geography} + - {column: D, row: 8942, expected_value: Males, label: sex} + - {column: E, row: 8942, expected_value: Self-employed, label: employment type} + - {column: J, row: 8942, expected_value: Value, label: measure} + - {column: L, row: 8943, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8944 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8944, expected_value: E12000009, label: geography} + - {column: D, row: 8944, expected_value: Males, label: sex} + - {column: E, row: 8944, expected_value: Self-employed, label: employment type} + - {column: J, row: 8944, expected_value: Value, label: measure} + - {column: L, row: 8945, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8946 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8946, expected_value: E12000009, label: geography} + - {column: D, row: 8946, expected_value: Males, label: sex} + - {column: E, row: 8946, expected_value: Self-employed, label: employment type} + - {column: J, row: 8946, expected_value: Value, label: measure} + - {column: L, row: 8947, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8948 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8948, expected_value: E12000009, label: geography} + - {column: D, row: 8948, expected_value: Males, label: sex} + - {column: E, row: 8948, expected_value: Self-employed, label: employment type} + - {column: J, row: 8948, expected_value: Value, label: measure} + - {column: L, row: 8949, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8950 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8950, expected_value: E12000009, label: geography} + - {column: D, row: 8950, expected_value: Males, label: sex} + - {column: E, row: 8950, expected_value: Self-employed, label: employment type} + - {column: J, row: 8950, expected_value: Value, label: measure} + - {column: L, row: 8951, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8952 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8952, expected_value: E12000009, label: geography} + - {column: D, row: 8952, expected_value: Males, label: sex} + - {column: E, row: 8952, expected_value: Self-employed, label: employment type} + - {column: J, row: 8952, expected_value: Value, label: measure} + - {column: L, row: 8953, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8954 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8954, expected_value: E12000009, label: geography} + - {column: D, row: 8954, expected_value: Males, label: sex} + - {column: E, row: 8954, expected_value: Self-employed, label: employment type} + - {column: J, row: 8954, expected_value: Value, label: measure} + - {column: L, row: 8955, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8956 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8956, expected_value: E12000009, label: geography} + - {column: D, row: 8956, expected_value: Males, label: sex} + - {column: E, row: 8956, expected_value: Self-employed, label: employment type} + - {column: J, row: 8956, expected_value: Value, label: measure} + - {column: L, row: 8957, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8958 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8958, expected_value: E12000009, label: geography} + - {column: D, row: 8958, expected_value: Males, label: sex} + - {column: E, row: 8958, expected_value: Self-employed, label: employment type} + - {column: J, row: 8958, expected_value: Value, label: measure} + - {column: L, row: 8959, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8960 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8960, expected_value: E12000009, label: geography} + - {column: D, row: 8960, expected_value: Males, label: sex} + - {column: E, row: 8960, expected_value: Self-employed, label: employment type} + - {column: J, row: 8960, expected_value: Value, label: measure} + - {column: L, row: 8961, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8962 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8962, expected_value: E12000009, label: geography} + - {column: D, row: 8962, expected_value: Males, label: sex} + - {column: E, row: 8962, expected_value: Self-employed, label: employment type} + - {column: J, row: 8962, expected_value: Value, label: measure} + - {column: L, row: 8963, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8966 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8966, expected_value: E12000009, label: geography} + - {column: D, row: 8966, expected_value: Males, label: sex} + - {column: E, row: 8966, expected_value: Self-employed, label: employment type} + - {column: J, row: 8966, expected_value: Value, label: measure} + - {column: L, row: 8967, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8968 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8968, expected_value: E12000009, label: geography} + - {column: D, row: 8968, expected_value: Males, label: sex} + - {column: E, row: 8968, expected_value: Self-employed, label: employment type} + - {column: J, row: 8968, expected_value: Value, label: measure} + - {column: L, row: 8969, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8970 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8970, expected_value: E12000009, label: geography} + - {column: D, row: 8970, expected_value: Males, label: sex} + - {column: E, row: 8970, expected_value: Self-employed, label: employment type} + - {column: J, row: 8970, expected_value: Value, label: measure} + - {column: L, row: 8971, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8972 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8972, expected_value: E12000009, label: geography} + - {column: D, row: 8972, expected_value: Males, label: sex} + - {column: E, row: 8972, expected_value: Self-employed, label: employment type} + - {column: J, row: 8972, expected_value: Value, label: measure} + - {column: L, row: 8973, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8974 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8974, expected_value: E12000009, label: geography} + - {column: D, row: 8974, expected_value: Males, label: sex} + - {column: E, row: 8974, expected_value: Self-employed, label: employment type} + - {column: J, row: 8974, expected_value: Value, label: measure} + - {column: L, row: 8975, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8976 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8976, expected_value: E12000009, label: geography} + - {column: D, row: 8976, expected_value: Males, label: sex} + - {column: E, row: 8976, expected_value: Self-employed, label: employment type} + - {column: J, row: 8976, expected_value: Value, label: measure} + - {column: L, row: 8977, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8978 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8978, expected_value: E12000009, label: geography} + - {column: D, row: 8978, expected_value: Males, label: sex} + - {column: E, row: 8978, expected_value: Self-employed, label: employment type} + - {column: J, row: 8978, expected_value: Value, label: measure} + - {column: L, row: 8979, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8980 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8980, expected_value: E12000009, label: geography} + - {column: D, row: 8980, expected_value: Males, label: sex} + - {column: E, row: 8980, expected_value: Self-employed, label: employment type} + - {column: J, row: 8980, expected_value: Value, label: measure} + - {column: L, row: 8981, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8984 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8984, expected_value: E12000009, label: geography} + - {column: D, row: 8984, expected_value: Males, label: sex} + - {column: E, row: 8984, expected_value: Self-employed, label: employment type} + - {column: J, row: 8984, expected_value: Value, label: measure} + - {column: L, row: 8985, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8986 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8986, expected_value: E12000009, label: geography} + - {column: D, row: 8986, expected_value: Males, label: sex} + - {column: E, row: 8986, expected_value: Self-employed, label: employment type} + - {column: J, row: 8986, expected_value: Value, label: measure} + - {column: L, row: 8987, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8990 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8990, expected_value: E12000009, label: geography} + - {column: D, row: 8990, expected_value: Males, label: sex} + - {column: E, row: 8990, expected_value: Self-employed, label: employment type} + - {column: J, row: 8990, expected_value: Value, label: measure} + - {column: L, row: 8991, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8992 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8992, expected_value: E12000009, label: geography} + - {column: D, row: 8992, expected_value: Males, label: sex} + - {column: E, row: 8992, expected_value: Self-employed, label: employment type} + - {column: J, row: 8992, expected_value: Value, label: measure} + - {column: L, row: 8993, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8994 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8994, expected_value: E12000009, label: geography} + - {column: D, row: 8994, expected_value: Males, label: sex} + - {column: E, row: 8994, expected_value: Self-employed, label: employment type} + - {column: J, row: 8994, expected_value: Value, label: measure} + - {column: L, row: 8995, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8996 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8996, expected_value: E12000009, label: geography} + - {column: D, row: 8996, expected_value: Males, label: sex} + - {column: E, row: 8996, expected_value: Self-employed, label: employment type} + - {column: J, row: 8996, expected_value: Value, label: measure} + - {column: L, row: 8997, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8998 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8998, expected_value: E12000009, label: geography} + - {column: D, row: 8998, expected_value: Males, label: sex} + - {column: E, row: 8998, expected_value: Self-employed, label: employment type} + - {column: J, row: 8998, expected_value: Value, label: measure} + - {column: L, row: 8999, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9000 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9000, expected_value: E12000009, label: geography} + - {column: D, row: 9000, expected_value: Males, label: sex} + - {column: E, row: 9000, expected_value: Self-employed, label: employment type} + - {column: J, row: 9000, expected_value: Value, label: measure} + - {column: L, row: 9001, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8931 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8931, expected_value: E12000009, label: geography} + - {column: D, row: 8931, expected_value: Males, label: sex} + - {column: E, row: 8931, expected_value: Self-employed, label: employment type} + - {column: J, row: 8931, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8933 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8933, expected_value: E12000009, label: geography} + - {column: D, row: 8933, expected_value: Males, label: sex} + - {column: E, row: 8933, expected_value: Self-employed, label: employment type} + - {column: J, row: 8933, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8935 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8935, expected_value: E12000009, label: geography} + - {column: D, row: 8935, expected_value: Males, label: sex} + - {column: E, row: 8935, expected_value: Self-employed, label: employment type} + - {column: J, row: 8935, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8937 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8937, expected_value: E12000009, label: geography} + - {column: D, row: 8937, expected_value: Males, label: sex} + - {column: E, row: 8937, expected_value: Self-employed, label: employment type} + - {column: J, row: 8937, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8939 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8939, expected_value: E12000009, label: geography} + - {column: D, row: 8939, expected_value: Males, label: sex} + - {column: E, row: 8939, expected_value: Self-employed, label: employment type} + - {column: J, row: 8939, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8941 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8941, expected_value: E12000009, label: geography} + - {column: D, row: 8941, expected_value: Males, label: sex} + - {column: E, row: 8941, expected_value: Self-employed, label: employment type} + - {column: J, row: 8941, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8943 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8943, expected_value: E12000009, label: geography} + - {column: D, row: 8943, expected_value: Males, label: sex} + - {column: E, row: 8943, expected_value: Self-employed, label: employment type} + - {column: J, row: 8943, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8945 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8945, expected_value: E12000009, label: geography} + - {column: D, row: 8945, expected_value: Males, label: sex} + - {column: E, row: 8945, expected_value: Self-employed, label: employment type} + - {column: J, row: 8945, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8947 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8947, expected_value: E12000009, label: geography} + - {column: D, row: 8947, expected_value: Males, label: sex} + - {column: E, row: 8947, expected_value: Self-employed, label: employment type} + - {column: J, row: 8947, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8949 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8949, expected_value: E12000009, label: geography} + - {column: D, row: 8949, expected_value: Males, label: sex} + - {column: E, row: 8949, expected_value: Self-employed, label: employment type} + - {column: J, row: 8949, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8957 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8957, expected_value: E12000009, label: geography} + - {column: D, row: 8957, expected_value: Males, label: sex} + - {column: E, row: 8957, expected_value: Self-employed, label: employment type} + - {column: J, row: 8957, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8959 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8959, expected_value: E12000009, label: geography} + - {column: D, row: 8959, expected_value: Males, label: sex} + - {column: E, row: 8959, expected_value: Self-employed, label: employment type} + - {column: J, row: 8959, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8967 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8967, expected_value: E12000009, label: geography} + - {column: D, row: 8967, expected_value: Males, label: sex} + - {column: E, row: 8967, expected_value: Self-employed, label: employment type} + - {column: J, row: 8967, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8969 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8969, expected_value: E12000009, label: geography} + - {column: D, row: 8969, expected_value: Males, label: sex} + - {column: E, row: 8969, expected_value: Self-employed, label: employment type} + - {column: J, row: 8969, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8971 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8971, expected_value: E12000009, label: geography} + - {column: D, row: 8971, expected_value: Males, label: sex} + - {column: E, row: 8971, expected_value: Self-employed, label: employment type} + - {column: J, row: 8971, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8973 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8973, expected_value: E12000009, label: geography} + - {column: D, row: 8973, expected_value: Males, label: sex} + - {column: E, row: 8973, expected_value: Self-employed, label: employment type} + - {column: J, row: 8973, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8975 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8975, expected_value: E12000009, label: geography} + - {column: D, row: 8975, expected_value: Males, label: sex} + - {column: E, row: 8975, expected_value: Self-employed, label: employment type} + - {column: J, row: 8975, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8977 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8977, expected_value: E12000009, label: geography} + - {column: D, row: 8977, expected_value: Males, label: sex} + - {column: E, row: 8977, expected_value: Self-employed, label: employment type} + - {column: J, row: 8977, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8981 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8981, expected_value: E12000009, label: geography} + - {column: D, row: 8981, expected_value: Males, label: sex} + - {column: E, row: 8981, expected_value: Self-employed, label: employment type} + - {column: J, row: 8981, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8985 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8985, expected_value: E12000009, label: geography} + - {column: D, row: 8985, expected_value: Males, label: sex} + - {column: E, row: 8985, expected_value: Self-employed, label: employment type} + - {column: J, row: 8985, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8987 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8987, expected_value: E12000009, label: geography} + - {column: D, row: 8987, expected_value: Males, label: sex} + - {column: E, row: 8987, expected_value: Self-employed, label: employment type} + - {column: J, row: 8987, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8991 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8991, expected_value: E12000009, label: geography} + - {column: D, row: 8991, expected_value: Males, label: sex} + - {column: E, row: 8991, expected_value: Self-employed, label: employment type} + - {column: J, row: 8991, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8995 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8995, expected_value: E12000009, label: geography} + - {column: D, row: 8995, expected_value: Males, label: sex} + - {column: E, row: 8995, expected_value: Self-employed, label: employment type} + - {column: J, row: 8995, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8997 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8997, expected_value: E12000009, label: geography} + - {column: D, row: 8997, expected_value: Males, label: sex} + - {column: E, row: 8997, expected_value: Self-employed, label: employment type} + - {column: J, row: 8997, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8999 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8999, expected_value: E12000009, label: geography} + - {column: D, row: 8999, expected_value: Males, label: sex} + - {column: E, row: 8999, expected_value: Self-employed, label: employment type} + - {column: J, row: 8999, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9001 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9001, expected_value: E12000009, label: geography} + - {column: D, row: 9001, expected_value: Males, label: sex} + - {column: E, row: 9001, expected_value: Self-employed, label: employment type} + - {column: J, row: 9001, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.all.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8570 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8570, expected_value: E12000009, label: geography} + - {column: D, row: 8570, expected_value: Females, label: sex} + - {column: E, row: 8570, expected_value: Total, label: employment type} + - {column: J, row: 8570, expected_value: Value, label: measure} + - {column: L, row: 8571, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8572 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8572, expected_value: E12000009, label: geography} + - {column: D, row: 8572, expected_value: Females, label: sex} + - {column: E, row: 8572, expected_value: Total, label: employment type} + - {column: J, row: 8572, expected_value: Value, label: measure} + - {column: L, row: 8573, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8574 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8574, expected_value: E12000009, label: geography} + - {column: D, row: 8574, expected_value: Females, label: sex} + - {column: E, row: 8574, expected_value: Total, label: employment type} + - {column: J, row: 8574, expected_value: Value, label: measure} + - {column: L, row: 8575, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8576 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8576, expected_value: E12000009, label: geography} + - {column: D, row: 8576, expected_value: Females, label: sex} + - {column: E, row: 8576, expected_value: Total, label: employment type} + - {column: J, row: 8576, expected_value: Value, label: measure} + - {column: L, row: 8577, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8578 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8578, expected_value: E12000009, label: geography} + - {column: D, row: 8578, expected_value: Females, label: sex} + - {column: E, row: 8578, expected_value: Total, label: employment type} + - {column: J, row: 8578, expected_value: Value, label: measure} + - {column: L, row: 8579, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8580 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8580, expected_value: E12000009, label: geography} + - {column: D, row: 8580, expected_value: Females, label: sex} + - {column: E, row: 8580, expected_value: Total, label: employment type} + - {column: J, row: 8580, expected_value: Value, label: measure} + - {column: L, row: 8581, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8582 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8582, expected_value: E12000009, label: geography} + - {column: D, row: 8582, expected_value: Females, label: sex} + - {column: E, row: 8582, expected_value: Total, label: employment type} + - {column: J, row: 8582, expected_value: Value, label: measure} + - {column: L, row: 8583, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8584 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8584, expected_value: E12000009, label: geography} + - {column: D, row: 8584, expected_value: Females, label: sex} + - {column: E, row: 8584, expected_value: Total, label: employment type} + - {column: J, row: 8584, expected_value: Value, label: measure} + - {column: L, row: 8585, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8586 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8586, expected_value: E12000009, label: geography} + - {column: D, row: 8586, expected_value: Females, label: sex} + - {column: E, row: 8586, expected_value: Total, label: employment type} + - {column: J, row: 8586, expected_value: Value, label: measure} + - {column: L, row: 8587, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8588 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8588, expected_value: E12000009, label: geography} + - {column: D, row: 8588, expected_value: Females, label: sex} + - {column: E, row: 8588, expected_value: Total, label: employment type} + - {column: J, row: 8588, expected_value: Value, label: measure} + - {column: L, row: 8589, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8590 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8590, expected_value: E12000009, label: geography} + - {column: D, row: 8590, expected_value: Females, label: sex} + - {column: E, row: 8590, expected_value: Total, label: employment type} + - {column: J, row: 8590, expected_value: Value, label: measure} + - {column: L, row: 8591, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8592 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8592, expected_value: E12000009, label: geography} + - {column: D, row: 8592, expected_value: Females, label: sex} + - {column: E, row: 8592, expected_value: Total, label: employment type} + - {column: J, row: 8592, expected_value: Value, label: measure} + - {column: L, row: 8593, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8594 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8594, expected_value: E12000009, label: geography} + - {column: D, row: 8594, expected_value: Females, label: sex} + - {column: E, row: 8594, expected_value: Total, label: employment type} + - {column: J, row: 8594, expected_value: Value, label: measure} + - {column: L, row: 8595, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8596 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8596, expected_value: E12000009, label: geography} + - {column: D, row: 8596, expected_value: Females, label: sex} + - {column: E, row: 8596, expected_value: Total, label: employment type} + - {column: J, row: 8596, expected_value: Value, label: measure} + - {column: L, row: 8597, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8598 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8598, expected_value: E12000009, label: geography} + - {column: D, row: 8598, expected_value: Females, label: sex} + - {column: E, row: 8598, expected_value: Total, label: employment type} + - {column: J, row: 8598, expected_value: Value, label: measure} + - {column: L, row: 8599, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8600 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8600, expected_value: E12000009, label: geography} + - {column: D, row: 8600, expected_value: Females, label: sex} + - {column: E, row: 8600, expected_value: Total, label: employment type} + - {column: J, row: 8600, expected_value: Value, label: measure} + - {column: L, row: 8601, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8602 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8602, expected_value: E12000009, label: geography} + - {column: D, row: 8602, expected_value: Females, label: sex} + - {column: E, row: 8602, expected_value: Total, label: employment type} + - {column: J, row: 8602, expected_value: Value, label: measure} + - {column: L, row: 8603, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8604 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8604, expected_value: E12000009, label: geography} + - {column: D, row: 8604, expected_value: Females, label: sex} + - {column: E, row: 8604, expected_value: Total, label: employment type} + - {column: J, row: 8604, expected_value: Value, label: measure} + - {column: L, row: 8605, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8606 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8606, expected_value: E12000009, label: geography} + - {column: D, row: 8606, expected_value: Females, label: sex} + - {column: E, row: 8606, expected_value: Total, label: employment type} + - {column: J, row: 8606, expected_value: Value, label: measure} + - {column: L, row: 8607, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8608 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8608, expected_value: E12000009, label: geography} + - {column: D, row: 8608, expected_value: Females, label: sex} + - {column: E, row: 8608, expected_value: Total, label: employment type} + - {column: J, row: 8608, expected_value: Value, label: measure} + - {column: L, row: 8609, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8610 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8610, expected_value: E12000009, label: geography} + - {column: D, row: 8610, expected_value: Females, label: sex} + - {column: E, row: 8610, expected_value: Total, label: employment type} + - {column: J, row: 8610, expected_value: Value, label: measure} + - {column: L, row: 8611, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8612 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8612, expected_value: E12000009, label: geography} + - {column: D, row: 8612, expected_value: Females, label: sex} + - {column: E, row: 8612, expected_value: Total, label: employment type} + - {column: J, row: 8612, expected_value: Value, label: measure} + - {column: L, row: 8613, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8614 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8614, expected_value: E12000009, label: geography} + - {column: D, row: 8614, expected_value: Females, label: sex} + - {column: E, row: 8614, expected_value: Total, label: employment type} + - {column: J, row: 8614, expected_value: Value, label: measure} + - {column: L, row: 8615, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8616 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8616, expected_value: E12000009, label: geography} + - {column: D, row: 8616, expected_value: Females, label: sex} + - {column: E, row: 8616, expected_value: Total, label: employment type} + - {column: J, row: 8616, expected_value: Value, label: measure} + - {column: L, row: 8617, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8618 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8618, expected_value: E12000009, label: geography} + - {column: D, row: 8618, expected_value: Females, label: sex} + - {column: E, row: 8618, expected_value: Total, label: employment type} + - {column: J, row: 8618, expected_value: Value, label: measure} + - {column: L, row: 8619, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8620 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8620, expected_value: E12000009, label: geography} + - {column: D, row: 8620, expected_value: Females, label: sex} + - {column: E, row: 8620, expected_value: Total, label: employment type} + - {column: J, row: 8620, expected_value: Value, label: measure} + - {column: L, row: 8621, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8624 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8624, expected_value: E12000009, label: geography} + - {column: D, row: 8624, expected_value: Females, label: sex} + - {column: E, row: 8624, expected_value: Total, label: employment type} + - {column: J, row: 8624, expected_value: Value, label: measure} + - {column: L, row: 8625, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8626 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8626, expected_value: E12000009, label: geography} + - {column: D, row: 8626, expected_value: Females, label: sex} + - {column: E, row: 8626, expected_value: Total, label: employment type} + - {column: J, row: 8626, expected_value: Value, label: measure} + - {column: L, row: 8627, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8628 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8628, expected_value: E12000009, label: geography} + - {column: D, row: 8628, expected_value: Females, label: sex} + - {column: E, row: 8628, expected_value: Total, label: employment type} + - {column: J, row: 8628, expected_value: Value, label: measure} + - {column: L, row: 8629, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8630 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8630, expected_value: E12000009, label: geography} + - {column: D, row: 8630, expected_value: Females, label: sex} + - {column: E, row: 8630, expected_value: Total, label: employment type} + - {column: J, row: 8630, expected_value: Value, label: measure} + - {column: L, row: 8631, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8632 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8632, expected_value: E12000009, label: geography} + - {column: D, row: 8632, expected_value: Females, label: sex} + - {column: E, row: 8632, expected_value: Total, label: employment type} + - {column: J, row: 8632, expected_value: Value, label: measure} + - {column: L, row: 8633, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8634 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8634, expected_value: E12000009, label: geography} + - {column: D, row: 8634, expected_value: Females, label: sex} + - {column: E, row: 8634, expected_value: Total, label: employment type} + - {column: J, row: 8634, expected_value: Value, label: measure} + - {column: L, row: 8635, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8636 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8636, expected_value: E12000009, label: geography} + - {column: D, row: 8636, expected_value: Females, label: sex} + - {column: E, row: 8636, expected_value: Total, label: employment type} + - {column: J, row: 8636, expected_value: Value, label: measure} + - {column: L, row: 8637, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8638 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8638, expected_value: E12000009, label: geography} + - {column: D, row: 8638, expected_value: Females, label: sex} + - {column: E, row: 8638, expected_value: Total, label: employment type} + - {column: J, row: 8638, expected_value: Value, label: measure} + - {column: L, row: 8639, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8640 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8640, expected_value: E12000009, label: geography} + - {column: D, row: 8640, expected_value: Females, label: sex} + - {column: E, row: 8640, expected_value: Total, label: employment type} + - {column: J, row: 8640, expected_value: Value, label: measure} + - {column: L, row: 8641, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8571 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8571, expected_value: E12000009, label: geography} + - {column: D, row: 8571, expected_value: Females, label: sex} + - {column: E, row: 8571, expected_value: Total, label: employment type} + - {column: J, row: 8571, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8573 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8573, expected_value: E12000009, label: geography} + - {column: D, row: 8573, expected_value: Females, label: sex} + - {column: E, row: 8573, expected_value: Total, label: employment type} + - {column: J, row: 8573, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8575 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8575, expected_value: E12000009, label: geography} + - {column: D, row: 8575, expected_value: Females, label: sex} + - {column: E, row: 8575, expected_value: Total, label: employment type} + - {column: J, row: 8575, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8577 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8577, expected_value: E12000009, label: geography} + - {column: D, row: 8577, expected_value: Females, label: sex} + - {column: E, row: 8577, expected_value: Total, label: employment type} + - {column: J, row: 8577, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8579 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8579, expected_value: E12000009, label: geography} + - {column: D, row: 8579, expected_value: Females, label: sex} + - {column: E, row: 8579, expected_value: Total, label: employment type} + - {column: J, row: 8579, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8581 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8581, expected_value: E12000009, label: geography} + - {column: D, row: 8581, expected_value: Females, label: sex} + - {column: E, row: 8581, expected_value: Total, label: employment type} + - {column: J, row: 8581, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8583 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8583, expected_value: E12000009, label: geography} + - {column: D, row: 8583, expected_value: Females, label: sex} + - {column: E, row: 8583, expected_value: Total, label: employment type} + - {column: J, row: 8583, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8585 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8585, expected_value: E12000009, label: geography} + - {column: D, row: 8585, expected_value: Females, label: sex} + - {column: E, row: 8585, expected_value: Total, label: employment type} + - {column: J, row: 8585, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8587 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8587, expected_value: E12000009, label: geography} + - {column: D, row: 8587, expected_value: Females, label: sex} + - {column: E, row: 8587, expected_value: Total, label: employment type} + - {column: J, row: 8587, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8589 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8589, expected_value: E12000009, label: geography} + - {column: D, row: 8589, expected_value: Females, label: sex} + - {column: E, row: 8589, expected_value: Total, label: employment type} + - {column: J, row: 8589, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8591 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8591, expected_value: E12000009, label: geography} + - {column: D, row: 8591, expected_value: Females, label: sex} + - {column: E, row: 8591, expected_value: Total, label: employment type} + - {column: J, row: 8591, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8593 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8593, expected_value: E12000009, label: geography} + - {column: D, row: 8593, expected_value: Females, label: sex} + - {column: E, row: 8593, expected_value: Total, label: employment type} + - {column: J, row: 8593, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8595 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8595, expected_value: E12000009, label: geography} + - {column: D, row: 8595, expected_value: Females, label: sex} + - {column: E, row: 8595, expected_value: Total, label: employment type} + - {column: J, row: 8595, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8597 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8597, expected_value: E12000009, label: geography} + - {column: D, row: 8597, expected_value: Females, label: sex} + - {column: E, row: 8597, expected_value: Total, label: employment type} + - {column: J, row: 8597, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8599 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8599, expected_value: E12000009, label: geography} + - {column: D, row: 8599, expected_value: Females, label: sex} + - {column: E, row: 8599, expected_value: Total, label: employment type} + - {column: J, row: 8599, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8601 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8601, expected_value: E12000009, label: geography} + - {column: D, row: 8601, expected_value: Females, label: sex} + - {column: E, row: 8601, expected_value: Total, label: employment type} + - {column: J, row: 8601, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8603 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8603, expected_value: E12000009, label: geography} + - {column: D, row: 8603, expected_value: Females, label: sex} + - {column: E, row: 8603, expected_value: Total, label: employment type} + - {column: J, row: 8603, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8605 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8605, expected_value: E12000009, label: geography} + - {column: D, row: 8605, expected_value: Females, label: sex} + - {column: E, row: 8605, expected_value: Total, label: employment type} + - {column: J, row: 8605, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8607 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8607, expected_value: E12000009, label: geography} + - {column: D, row: 8607, expected_value: Females, label: sex} + - {column: E, row: 8607, expected_value: Total, label: employment type} + - {column: J, row: 8607, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8609 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8609, expected_value: E12000009, label: geography} + - {column: D, row: 8609, expected_value: Females, label: sex} + - {column: E, row: 8609, expected_value: Total, label: employment type} + - {column: J, row: 8609, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8615 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8615, expected_value: E12000009, label: geography} + - {column: D, row: 8615, expected_value: Females, label: sex} + - {column: E, row: 8615, expected_value: Total, label: employment type} + - {column: J, row: 8615, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8617 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8617, expected_value: E12000009, label: geography} + - {column: D, row: 8617, expected_value: Females, label: sex} + - {column: E, row: 8617, expected_value: Total, label: employment type} + - {column: J, row: 8617, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8619 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8619, expected_value: E12000009, label: geography} + - {column: D, row: 8619, expected_value: Females, label: sex} + - {column: E, row: 8619, expected_value: Total, label: employment type} + - {column: J, row: 8619, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8621 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8621, expected_value: E12000009, label: geography} + - {column: D, row: 8621, expected_value: Females, label: sex} + - {column: E, row: 8621, expected_value: Total, label: employment type} + - {column: J, row: 8621, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8625 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8625, expected_value: E12000009, label: geography} + - {column: D, row: 8625, expected_value: Females, label: sex} + - {column: E, row: 8625, expected_value: Total, label: employment type} + - {column: J, row: 8625, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8627 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8627, expected_value: E12000009, label: geography} + - {column: D, row: 8627, expected_value: Females, label: sex} + - {column: E, row: 8627, expected_value: Total, label: employment type} + - {column: J, row: 8627, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8629 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8629, expected_value: E12000009, label: geography} + - {column: D, row: 8629, expected_value: Females, label: sex} + - {column: E, row: 8629, expected_value: Total, label: employment type} + - {column: J, row: 8629, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8631 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8631, expected_value: E12000009, label: geography} + - {column: D, row: 8631, expected_value: Females, label: sex} + - {column: E, row: 8631, expected_value: Total, label: employment type} + - {column: J, row: 8631, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8633 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8633, expected_value: E12000009, label: geography} + - {column: D, row: 8633, expected_value: Females, label: sex} + - {column: E, row: 8633, expected_value: Total, label: employment type} + - {column: J, row: 8633, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8635 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8635, expected_value: E12000009, label: geography} + - {column: D, row: 8635, expected_value: Females, label: sex} + - {column: E, row: 8635, expected_value: Total, label: employment type} + - {column: J, row: 8635, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8637 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8637, expected_value: E12000009, label: geography} + - {column: D, row: 8637, expected_value: Females, label: sex} + - {column: E, row: 8637, expected_value: Total, label: employment type} + - {column: J, row: 8637, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8639 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8639, expected_value: E12000009, label: geography} + - {column: D, row: 8639, expected_value: Females, label: sex} + - {column: E, row: 8639, expected_value: Total, label: employment type} + - {column: J, row: 8639, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8641 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8641, expected_value: E12000009, label: geography} + - {column: D, row: 8641, expected_value: Females, label: sex} + - {column: E, row: 8641, expected_value: Total, label: employment type} + - {column: J, row: 8641, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8786 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8786, expected_value: E12000009, label: geography} + - {column: D, row: 8786, expected_value: Females, label: sex} + - {column: E, row: 8786, expected_value: Employee, label: employment type} + - {column: J, row: 8786, expected_value: Value, label: measure} + - {column: L, row: 8787, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8788 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8788, expected_value: E12000009, label: geography} + - {column: D, row: 8788, expected_value: Females, label: sex} + - {column: E, row: 8788, expected_value: Employee, label: employment type} + - {column: J, row: 8788, expected_value: Value, label: measure} + - {column: L, row: 8789, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8790 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8790, expected_value: E12000009, label: geography} + - {column: D, row: 8790, expected_value: Females, label: sex} + - {column: E, row: 8790, expected_value: Employee, label: employment type} + - {column: J, row: 8790, expected_value: Value, label: measure} + - {column: L, row: 8791, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8792 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8792, expected_value: E12000009, label: geography} + - {column: D, row: 8792, expected_value: Females, label: sex} + - {column: E, row: 8792, expected_value: Employee, label: employment type} + - {column: J, row: 8792, expected_value: Value, label: measure} + - {column: L, row: 8793, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8794 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8794, expected_value: E12000009, label: geography} + - {column: D, row: 8794, expected_value: Females, label: sex} + - {column: E, row: 8794, expected_value: Employee, label: employment type} + - {column: J, row: 8794, expected_value: Value, label: measure} + - {column: L, row: 8795, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8796 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8796, expected_value: E12000009, label: geography} + - {column: D, row: 8796, expected_value: Females, label: sex} + - {column: E, row: 8796, expected_value: Employee, label: employment type} + - {column: J, row: 8796, expected_value: Value, label: measure} + - {column: L, row: 8797, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8798 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8798, expected_value: E12000009, label: geography} + - {column: D, row: 8798, expected_value: Females, label: sex} + - {column: E, row: 8798, expected_value: Employee, label: employment type} + - {column: J, row: 8798, expected_value: Value, label: measure} + - {column: L, row: 8799, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8800 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8800, expected_value: E12000009, label: geography} + - {column: D, row: 8800, expected_value: Females, label: sex} + - {column: E, row: 8800, expected_value: Employee, label: employment type} + - {column: J, row: 8800, expected_value: Value, label: measure} + - {column: L, row: 8801, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8802 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8802, expected_value: E12000009, label: geography} + - {column: D, row: 8802, expected_value: Females, label: sex} + - {column: E, row: 8802, expected_value: Employee, label: employment type} + - {column: J, row: 8802, expected_value: Value, label: measure} + - {column: L, row: 8803, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8804 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8804, expected_value: E12000009, label: geography} + - {column: D, row: 8804, expected_value: Females, label: sex} + - {column: E, row: 8804, expected_value: Employee, label: employment type} + - {column: J, row: 8804, expected_value: Value, label: measure} + - {column: L, row: 8805, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8806 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8806, expected_value: E12000009, label: geography} + - {column: D, row: 8806, expected_value: Females, label: sex} + - {column: E, row: 8806, expected_value: Employee, label: employment type} + - {column: J, row: 8806, expected_value: Value, label: measure} + - {column: L, row: 8807, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8808 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8808, expected_value: E12000009, label: geography} + - {column: D, row: 8808, expected_value: Females, label: sex} + - {column: E, row: 8808, expected_value: Employee, label: employment type} + - {column: J, row: 8808, expected_value: Value, label: measure} + - {column: L, row: 8809, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8810 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8810, expected_value: E12000009, label: geography} + - {column: D, row: 8810, expected_value: Females, label: sex} + - {column: E, row: 8810, expected_value: Employee, label: employment type} + - {column: J, row: 8810, expected_value: Value, label: measure} + - {column: L, row: 8811, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8812 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8812, expected_value: E12000009, label: geography} + - {column: D, row: 8812, expected_value: Females, label: sex} + - {column: E, row: 8812, expected_value: Employee, label: employment type} + - {column: J, row: 8812, expected_value: Value, label: measure} + - {column: L, row: 8813, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8814 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8814, expected_value: E12000009, label: geography} + - {column: D, row: 8814, expected_value: Females, label: sex} + - {column: E, row: 8814, expected_value: Employee, label: employment type} + - {column: J, row: 8814, expected_value: Value, label: measure} + - {column: L, row: 8815, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8816 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8816, expected_value: E12000009, label: geography} + - {column: D, row: 8816, expected_value: Females, label: sex} + - {column: E, row: 8816, expected_value: Employee, label: employment type} + - {column: J, row: 8816, expected_value: Value, label: measure} + - {column: L, row: 8817, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8818 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8818, expected_value: E12000009, label: geography} + - {column: D, row: 8818, expected_value: Females, label: sex} + - {column: E, row: 8818, expected_value: Employee, label: employment type} + - {column: J, row: 8818, expected_value: Value, label: measure} + - {column: L, row: 8819, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8820 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8820, expected_value: E12000009, label: geography} + - {column: D, row: 8820, expected_value: Females, label: sex} + - {column: E, row: 8820, expected_value: Employee, label: employment type} + - {column: J, row: 8820, expected_value: Value, label: measure} + - {column: L, row: 8821, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8822 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8822, expected_value: E12000009, label: geography} + - {column: D, row: 8822, expected_value: Females, label: sex} + - {column: E, row: 8822, expected_value: Employee, label: employment type} + - {column: J, row: 8822, expected_value: Value, label: measure} + - {column: L, row: 8823, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8824 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8824, expected_value: E12000009, label: geography} + - {column: D, row: 8824, expected_value: Females, label: sex} + - {column: E, row: 8824, expected_value: Employee, label: employment type} + - {column: J, row: 8824, expected_value: Value, label: measure} + - {column: L, row: 8825, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8826 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8826, expected_value: E12000009, label: geography} + - {column: D, row: 8826, expected_value: Females, label: sex} + - {column: E, row: 8826, expected_value: Employee, label: employment type} + - {column: J, row: 8826, expected_value: Value, label: measure} + - {column: L, row: 8827, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8828 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8828, expected_value: E12000009, label: geography} + - {column: D, row: 8828, expected_value: Females, label: sex} + - {column: E, row: 8828, expected_value: Employee, label: employment type} + - {column: J, row: 8828, expected_value: Value, label: measure} + - {column: L, row: 8829, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8830 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8830, expected_value: E12000009, label: geography} + - {column: D, row: 8830, expected_value: Females, label: sex} + - {column: E, row: 8830, expected_value: Employee, label: employment type} + - {column: J, row: 8830, expected_value: Value, label: measure} + - {column: L, row: 8831, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8832 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8832, expected_value: E12000009, label: geography} + - {column: D, row: 8832, expected_value: Females, label: sex} + - {column: E, row: 8832, expected_value: Employee, label: employment type} + - {column: J, row: 8832, expected_value: Value, label: measure} + - {column: L, row: 8833, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8834 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8834, expected_value: E12000009, label: geography} + - {column: D, row: 8834, expected_value: Females, label: sex} + - {column: E, row: 8834, expected_value: Employee, label: employment type} + - {column: J, row: 8834, expected_value: Value, label: measure} + - {column: L, row: 8835, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8836 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8836, expected_value: E12000009, label: geography} + - {column: D, row: 8836, expected_value: Females, label: sex} + - {column: E, row: 8836, expected_value: Employee, label: employment type} + - {column: J, row: 8836, expected_value: Value, label: measure} + - {column: L, row: 8837, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8840 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8840, expected_value: E12000009, label: geography} + - {column: D, row: 8840, expected_value: Females, label: sex} + - {column: E, row: 8840, expected_value: Employee, label: employment type} + - {column: J, row: 8840, expected_value: Value, label: measure} + - {column: L, row: 8841, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8842 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8842, expected_value: E12000009, label: geography} + - {column: D, row: 8842, expected_value: Females, label: sex} + - {column: E, row: 8842, expected_value: Employee, label: employment type} + - {column: J, row: 8842, expected_value: Value, label: measure} + - {column: L, row: 8843, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8844 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8844, expected_value: E12000009, label: geography} + - {column: D, row: 8844, expected_value: Females, label: sex} + - {column: E, row: 8844, expected_value: Employee, label: employment type} + - {column: J, row: 8844, expected_value: Value, label: measure} + - {column: L, row: 8845, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8846 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8846, expected_value: E12000009, label: geography} + - {column: D, row: 8846, expected_value: Females, label: sex} + - {column: E, row: 8846, expected_value: Employee, label: employment type} + - {column: J, row: 8846, expected_value: Value, label: measure} + - {column: L, row: 8847, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8848 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8848, expected_value: E12000009, label: geography} + - {column: D, row: 8848, expected_value: Females, label: sex} + - {column: E, row: 8848, expected_value: Employee, label: employment type} + - {column: J, row: 8848, expected_value: Value, label: measure} + - {column: L, row: 8849, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8850 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8850, expected_value: E12000009, label: geography} + - {column: D, row: 8850, expected_value: Females, label: sex} + - {column: E, row: 8850, expected_value: Employee, label: employment type} + - {column: J, row: 8850, expected_value: Value, label: measure} + - {column: L, row: 8851, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8852 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8852, expected_value: E12000009, label: geography} + - {column: D, row: 8852, expected_value: Females, label: sex} + - {column: E, row: 8852, expected_value: Employee, label: employment type} + - {column: J, row: 8852, expected_value: Value, label: measure} + - {column: L, row: 8853, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8854 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8854, expected_value: E12000009, label: geography} + - {column: D, row: 8854, expected_value: Females, label: sex} + - {column: E, row: 8854, expected_value: Employee, label: employment type} + - {column: J, row: 8854, expected_value: Value, label: measure} + - {column: L, row: 8855, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8856 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8856, expected_value: E12000009, label: geography} + - {column: D, row: 8856, expected_value: Females, label: sex} + - {column: E, row: 8856, expected_value: Employee, label: employment type} + - {column: J, row: 8856, expected_value: Value, label: measure} + - {column: L, row: 8857, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8787 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8787, expected_value: E12000009, label: geography} + - {column: D, row: 8787, expected_value: Females, label: sex} + - {column: E, row: 8787, expected_value: Employee, label: employment type} + - {column: J, row: 8787, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8789 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8789, expected_value: E12000009, label: geography} + - {column: D, row: 8789, expected_value: Females, label: sex} + - {column: E, row: 8789, expected_value: Employee, label: employment type} + - {column: J, row: 8789, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8791 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8791, expected_value: E12000009, label: geography} + - {column: D, row: 8791, expected_value: Females, label: sex} + - {column: E, row: 8791, expected_value: Employee, label: employment type} + - {column: J, row: 8791, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8793 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8793, expected_value: E12000009, label: geography} + - {column: D, row: 8793, expected_value: Females, label: sex} + - {column: E, row: 8793, expected_value: Employee, label: employment type} + - {column: J, row: 8793, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8795 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8795, expected_value: E12000009, label: geography} + - {column: D, row: 8795, expected_value: Females, label: sex} + - {column: E, row: 8795, expected_value: Employee, label: employment type} + - {column: J, row: 8795, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8797 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8797, expected_value: E12000009, label: geography} + - {column: D, row: 8797, expected_value: Females, label: sex} + - {column: E, row: 8797, expected_value: Employee, label: employment type} + - {column: J, row: 8797, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8799 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8799, expected_value: E12000009, label: geography} + - {column: D, row: 8799, expected_value: Females, label: sex} + - {column: E, row: 8799, expected_value: Employee, label: employment type} + - {column: J, row: 8799, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8801 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8801, expected_value: E12000009, label: geography} + - {column: D, row: 8801, expected_value: Females, label: sex} + - {column: E, row: 8801, expected_value: Employee, label: employment type} + - {column: J, row: 8801, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8803 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8803, expected_value: E12000009, label: geography} + - {column: D, row: 8803, expected_value: Females, label: sex} + - {column: E, row: 8803, expected_value: Employee, label: employment type} + - {column: J, row: 8803, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8805 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8805, expected_value: E12000009, label: geography} + - {column: D, row: 8805, expected_value: Females, label: sex} + - {column: E, row: 8805, expected_value: Employee, label: employment type} + - {column: J, row: 8805, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8807 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8807, expected_value: E12000009, label: geography} + - {column: D, row: 8807, expected_value: Females, label: sex} + - {column: E, row: 8807, expected_value: Employee, label: employment type} + - {column: J, row: 8807, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8809 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8809, expected_value: E12000009, label: geography} + - {column: D, row: 8809, expected_value: Females, label: sex} + - {column: E, row: 8809, expected_value: Employee, label: employment type} + - {column: J, row: 8809, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8811 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8811, expected_value: E12000009, label: geography} + - {column: D, row: 8811, expected_value: Females, label: sex} + - {column: E, row: 8811, expected_value: Employee, label: employment type} + - {column: J, row: 8811, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8813 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8813, expected_value: E12000009, label: geography} + - {column: D, row: 8813, expected_value: Females, label: sex} + - {column: E, row: 8813, expected_value: Employee, label: employment type} + - {column: J, row: 8813, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8815 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8815, expected_value: E12000009, label: geography} + - {column: D, row: 8815, expected_value: Females, label: sex} + - {column: E, row: 8815, expected_value: Employee, label: employment type} + - {column: J, row: 8815, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8817 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8817, expected_value: E12000009, label: geography} + - {column: D, row: 8817, expected_value: Females, label: sex} + - {column: E, row: 8817, expected_value: Employee, label: employment type} + - {column: J, row: 8817, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8819 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8819, expected_value: E12000009, label: geography} + - {column: D, row: 8819, expected_value: Females, label: sex} + - {column: E, row: 8819, expected_value: Employee, label: employment type} + - {column: J, row: 8819, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8821 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8821, expected_value: E12000009, label: geography} + - {column: D, row: 8821, expected_value: Females, label: sex} + - {column: E, row: 8821, expected_value: Employee, label: employment type} + - {column: J, row: 8821, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8823 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8823, expected_value: E12000009, label: geography} + - {column: D, row: 8823, expected_value: Females, label: sex} + - {column: E, row: 8823, expected_value: Employee, label: employment type} + - {column: J, row: 8823, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8831 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8831, expected_value: E12000009, label: geography} + - {column: D, row: 8831, expected_value: Females, label: sex} + - {column: E, row: 8831, expected_value: Employee, label: employment type} + - {column: J, row: 8831, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8833 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8833, expected_value: E12000009, label: geography} + - {column: D, row: 8833, expected_value: Females, label: sex} + - {column: E, row: 8833, expected_value: Employee, label: employment type} + - {column: J, row: 8833, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8835 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8835, expected_value: E12000009, label: geography} + - {column: D, row: 8835, expected_value: Females, label: sex} + - {column: E, row: 8835, expected_value: Employee, label: employment type} + - {column: J, row: 8835, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8837 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8837, expected_value: E12000009, label: geography} + - {column: D, row: 8837, expected_value: Females, label: sex} + - {column: E, row: 8837, expected_value: Employee, label: employment type} + - {column: J, row: 8837, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8841 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8841, expected_value: E12000009, label: geography} + - {column: D, row: 8841, expected_value: Females, label: sex} + - {column: E, row: 8841, expected_value: Employee, label: employment type} + - {column: J, row: 8841, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8843 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8843, expected_value: E12000009, label: geography} + - {column: D, row: 8843, expected_value: Females, label: sex} + - {column: E, row: 8843, expected_value: Employee, label: employment type} + - {column: J, row: 8843, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8845 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8845, expected_value: E12000009, label: geography} + - {column: D, row: 8845, expected_value: Females, label: sex} + - {column: E, row: 8845, expected_value: Employee, label: employment type} + - {column: J, row: 8845, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8847 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8847, expected_value: E12000009, label: geography} + - {column: D, row: 8847, expected_value: Females, label: sex} + - {column: E, row: 8847, expected_value: Employee, label: employment type} + - {column: J, row: 8847, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8849 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8849, expected_value: E12000009, label: geography} + - {column: D, row: 8849, expected_value: Females, label: sex} + - {column: E, row: 8849, expected_value: Employee, label: employment type} + - {column: J, row: 8849, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8851 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8851, expected_value: E12000009, label: geography} + - {column: D, row: 8851, expected_value: Females, label: sex} + - {column: E, row: 8851, expected_value: Employee, label: employment type} + - {column: J, row: 8851, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8853 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8853, expected_value: E12000009, label: geography} + - {column: D, row: 8853, expected_value: Females, label: sex} + - {column: E, row: 8853, expected_value: Employee, label: employment type} + - {column: J, row: 8853, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8855 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8855, expected_value: E12000009, label: geography} + - {column: D, row: 8855, expected_value: Females, label: sex} + - {column: E, row: 8855, expected_value: Employee, label: employment type} + - {column: J, row: 8855, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8857 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8857, expected_value: E12000009, label: geography} + - {column: D, row: 8857, expected_value: Females, label: sex} + - {column: E, row: 8857, expected_value: Employee, label: employment type} + - {column: J, row: 8857, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.estimate + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9002 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9002, expected_value: E12000009, label: geography} + - {column: D, row: 9002, expected_value: Females, label: sex} + - {column: E, row: 9002, expected_value: Self-employed, label: employment type} + - {column: J, row: 9002, expected_value: Value, label: measure} + - {column: L, row: 9003, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9004 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9004, expected_value: E12000009, label: geography} + - {column: D, row: 9004, expected_value: Females, label: sex} + - {column: E, row: 9004, expected_value: Self-employed, label: employment type} + - {column: J, row: 9004, expected_value: Value, label: measure} + - {column: L, row: 9005, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9006 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9006, expected_value: E12000009, label: geography} + - {column: D, row: 9006, expected_value: Females, label: sex} + - {column: E, row: 9006, expected_value: Self-employed, label: employment type} + - {column: J, row: 9006, expected_value: Value, label: measure} + - {column: L, row: 9007, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9008 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9008, expected_value: E12000009, label: geography} + - {column: D, row: 9008, expected_value: Females, label: sex} + - {column: E, row: 9008, expected_value: Self-employed, label: employment type} + - {column: J, row: 9008, expected_value: Value, label: measure} + - {column: L, row: 9009, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9010 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9010, expected_value: E12000009, label: geography} + - {column: D, row: 9010, expected_value: Females, label: sex} + - {column: E, row: 9010, expected_value: Self-employed, label: employment type} + - {column: J, row: 9010, expected_value: Value, label: measure} + - {column: L, row: 9011, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9012 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9012, expected_value: E12000009, label: geography} + - {column: D, row: 9012, expected_value: Females, label: sex} + - {column: E, row: 9012, expected_value: Self-employed, label: employment type} + - {column: J, row: 9012, expected_value: Value, label: measure} + - {column: L, row: 9013, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9014 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9014, expected_value: E12000009, label: geography} + - {column: D, row: 9014, expected_value: Females, label: sex} + - {column: E, row: 9014, expected_value: Self-employed, label: employment type} + - {column: J, row: 9014, expected_value: Value, label: measure} + - {column: L, row: 9015, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9016 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9016, expected_value: E12000009, label: geography} + - {column: D, row: 9016, expected_value: Females, label: sex} + - {column: E, row: 9016, expected_value: Self-employed, label: employment type} + - {column: J, row: 9016, expected_value: Value, label: measure} + - {column: L, row: 9017, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9018 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9018, expected_value: E12000009, label: geography} + - {column: D, row: 9018, expected_value: Females, label: sex} + - {column: E, row: 9018, expected_value: Self-employed, label: employment type} + - {column: J, row: 9018, expected_value: Value, label: measure} + - {column: L, row: 9019, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9020 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9020, expected_value: E12000009, label: geography} + - {column: D, row: 9020, expected_value: Females, label: sex} + - {column: E, row: 9020, expected_value: Self-employed, label: employment type} + - {column: J, row: 9020, expected_value: Value, label: measure} + - {column: L, row: 9021, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 9022 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 9022, expected_value: E12000009, label: geography} + - {column: D, row: 9022, expected_value: Females, label: sex} + - {column: E, row: 9022, expected_value: Self-employed, label: employment type} + - {column: J, row: 9022, expected_value: Value, label: measure} + - {column: L, row: 9023, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9024 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9024, expected_value: E12000009, label: geography} + - {column: D, row: 9024, expected_value: Females, label: sex} + - {column: E, row: 9024, expected_value: Self-employed, label: employment type} + - {column: J, row: 9024, expected_value: Value, label: measure} + - {column: L, row: 9025, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9028 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9028, expected_value: E12000009, label: geography} + - {column: D, row: 9028, expected_value: Females, label: sex} + - {column: E, row: 9028, expected_value: Self-employed, label: employment type} + - {column: J, row: 9028, expected_value: Value, label: measure} + - {column: L, row: 9029, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9030 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9030, expected_value: E12000009, label: geography} + - {column: D, row: 9030, expected_value: Females, label: sex} + - {column: E, row: 9030, expected_value: Self-employed, label: employment type} + - {column: J, row: 9030, expected_value: Value, label: measure} + - {column: L, row: 9031, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9032 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9032, expected_value: E12000009, label: geography} + - {column: D, row: 9032, expected_value: Females, label: sex} + - {column: E, row: 9032, expected_value: Self-employed, label: employment type} + - {column: J, row: 9032, expected_value: Value, label: measure} + - {column: L, row: 9033, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9034 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9034, expected_value: E12000009, label: geography} + - {column: D, row: 9034, expected_value: Females, label: sex} + - {column: E, row: 9034, expected_value: Self-employed, label: employment type} + - {column: J, row: 9034, expected_value: Value, label: measure} + - {column: L, row: 9035, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 9036 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 9036, expected_value: E12000009, label: geography} + - {column: D, row: 9036, expected_value: Females, label: sex} + - {column: E, row: 9036, expected_value: Self-employed, label: employment type} + - {column: J, row: 9036, expected_value: Value, label: measure} + - {column: L, row: 9037, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9038 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9038, expected_value: E12000009, label: geography} + - {column: D, row: 9038, expected_value: Females, label: sex} + - {column: E, row: 9038, expected_value: Self-employed, label: employment type} + - {column: J, row: 9038, expected_value: Value, label: measure} + - {column: L, row: 9039, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9040 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9040, expected_value: E12000009, label: geography} + - {column: D, row: 9040, expected_value: Females, label: sex} + - {column: E, row: 9040, expected_value: Self-employed, label: employment type} + - {column: J, row: 9040, expected_value: Value, label: measure} + - {column: L, row: 9041, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9046 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9046, expected_value: E12000009, label: geography} + - {column: D, row: 9046, expected_value: Females, label: sex} + - {column: E, row: 9046, expected_value: Self-employed, label: employment type} + - {column: J, row: 9046, expected_value: Value, label: measure} + - {column: L, row: 9047, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9048 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9048, expected_value: E12000009, label: geography} + - {column: D, row: 9048, expected_value: Females, label: sex} + - {column: E, row: 9048, expected_value: Self-employed, label: employment type} + - {column: J, row: 9048, expected_value: Value, label: measure} + - {column: L, row: 9049, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9050 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9050, expected_value: E12000009, label: geography} + - {column: D, row: 9050, expected_value: Females, label: sex} + - {column: E, row: 9050, expected_value: Self-employed, label: employment type} + - {column: J, row: 9050, expected_value: Value, label: measure} + - {column: L, row: 9051, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9052 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9052, expected_value: E12000009, label: geography} + - {column: D, row: 9052, expected_value: Females, label: sex} + - {column: E, row: 9052, expected_value: Self-employed, label: employment type} + - {column: J, row: 9052, expected_value: Value, label: measure} + - {column: L, row: 9053, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9056 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9056, expected_value: E12000009, label: geography} + - {column: D, row: 9056, expected_value: Females, label: sex} + - {column: E, row: 9056, expected_value: Self-employed, label: employment type} + - {column: J, row: 9056, expected_value: Value, label: measure} + - {column: L, row: 9057, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9058 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9058, expected_value: E12000009, label: geography} + - {column: D, row: 9058, expected_value: Females, label: sex} + - {column: E, row: 9058, expected_value: Self-employed, label: employment type} + - {column: J, row: 9058, expected_value: Value, label: measure} + - {column: L, row: 9059, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 9062 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 9062, expected_value: E12000009, label: geography} + - {column: D, row: 9062, expected_value: Females, label: sex} + - {column: E, row: 9062, expected_value: Self-employed, label: employment type} + - {column: J, row: 9062, expected_value: Value, label: measure} + - {column: L, row: 9063, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 9064 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 9064, expected_value: E12000009, label: geography} + - {column: D, row: 9064, expected_value: Females, label: sex} + - {column: E, row: 9064, expected_value: Self-employed, label: employment type} + - {column: J, row: 9064, expected_value: Value, label: measure} + - {column: L, row: 9065, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 9066 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 9066, expected_value: E12000009, label: geography} + - {column: D, row: 9066, expected_value: Females, label: sex} + - {column: E, row: 9066, expected_value: Self-employed, label: employment type} + - {column: J, row: 9066, expected_value: Value, label: measure} + - {column: L, row: 9067, expected_value: F, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9068 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9068, expected_value: E12000009, label: geography} + - {column: D, row: 9068, expected_value: Females, label: sex} + - {column: E, row: 9068, expected_value: Self-employed, label: employment type} + - {column: J, row: 9068, expected_value: Value, label: measure} + - {column: L, row: 9069, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 9070 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 9070, expected_value: E12000009, label: geography} + - {column: D, row: 9070, expected_value: Females, label: sex} + - {column: E, row: 9070, expected_value: Self-employed, label: employment type} + - {column: J, row: 9070, expected_value: Value, label: measure} + - {column: L, row: 9071, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9072 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9072, expected_value: E12000009, label: geography} + - {column: D, row: 9072, expected_value: Females, label: sex} + - {column: E, row: 9072, expected_value: Self-employed, label: employment type} + - {column: J, row: 9072, expected_value: Value, label: measure} + - {column: L, row: 9073, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.apr_2025_mar_2026.e12000009.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_apr_2025_mar_2026.csv + period_type: fiscal_year + period: 2025 + period_coverage: + start_date: '2025-04-01' + end_date: '2026-03-31' + basis: survey_reference + source_period_label: Apr 2025-Mar 2026 + notes: 'Nomis APS218 (NM_218_1), Apr 2025-Mar 2026, revision 0 released 21 July 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9003 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9003, expected_value: E12000009, label: geography} + - {column: D, row: 9003, expected_value: Females, label: sex} + - {column: E, row: 9003, expected_value: Self-employed, label: employment type} + - {column: J, row: 9003, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9005 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9005, expected_value: E12000009, label: geography} + - {column: D, row: 9005, expected_value: Females, label: sex} + - {column: E, row: 9005, expected_value: Self-employed, label: employment type} + - {column: J, row: 9005, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9007 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9007, expected_value: E12000009, label: geography} + - {column: D, row: 9007, expected_value: Females, label: sex} + - {column: E, row: 9007, expected_value: Self-employed, label: employment type} + - {column: J, row: 9007, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9009 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9009, expected_value: E12000009, label: geography} + - {column: D, row: 9009, expected_value: Females, label: sex} + - {column: E, row: 9009, expected_value: Self-employed, label: employment type} + - {column: J, row: 9009, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9011 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9011, expected_value: E12000009, label: geography} + - {column: D, row: 9011, expected_value: Females, label: sex} + - {column: E, row: 9011, expected_value: Self-employed, label: employment type} + - {column: J, row: 9011, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9013 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9013, expected_value: E12000009, label: geography} + - {column: D, row: 9013, expected_value: Females, label: sex} + - {column: E, row: 9013, expected_value: Self-employed, label: employment type} + - {column: J, row: 9013, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9015 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9015, expected_value: E12000009, label: geography} + - {column: D, row: 9015, expected_value: Females, label: sex} + - {column: E, row: 9015, expected_value: Self-employed, label: employment type} + - {column: J, row: 9015, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9017 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9017, expected_value: E12000009, label: geography} + - {column: D, row: 9017, expected_value: Females, label: sex} + - {column: E, row: 9017, expected_value: Self-employed, label: employment type} + - {column: J, row: 9017, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9019 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9019, expected_value: E12000009, label: geography} + - {column: D, row: 9019, expected_value: Females, label: sex} + - {column: E, row: 9019, expected_value: Self-employed, label: employment type} + - {column: J, row: 9019, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9021 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9021, expected_value: E12000009, label: geography} + - {column: D, row: 9021, expected_value: Females, label: sex} + - {column: E, row: 9021, expected_value: Self-employed, label: employment type} + - {column: J, row: 9021, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9025 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9025, expected_value: E12000009, label: geography} + - {column: D, row: 9025, expected_value: Females, label: sex} + - {column: E, row: 9025, expected_value: Self-employed, label: employment type} + - {column: J, row: 9025, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9029 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9029, expected_value: E12000009, label: geography} + - {column: D, row: 9029, expected_value: Females, label: sex} + - {column: E, row: 9029, expected_value: Self-employed, label: employment type} + - {column: J, row: 9029, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9031 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9031, expected_value: E12000009, label: geography} + - {column: D, row: 9031, expected_value: Females, label: sex} + - {column: E, row: 9031, expected_value: Self-employed, label: employment type} + - {column: J, row: 9031, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9033 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9033, expected_value: E12000009, label: geography} + - {column: D, row: 9033, expected_value: Females, label: sex} + - {column: E, row: 9033, expected_value: Self-employed, label: employment type} + - {column: J, row: 9033, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9035 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9035, expected_value: E12000009, label: geography} + - {column: D, row: 9035, expected_value: Females, label: sex} + - {column: E, row: 9035, expected_value: Self-employed, label: employment type} + - {column: J, row: 9035, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9039 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9039, expected_value: E12000009, label: geography} + - {column: D, row: 9039, expected_value: Females, label: sex} + - {column: E, row: 9039, expected_value: Self-employed, label: employment type} + - {column: J, row: 9039, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9041 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9041, expected_value: E12000009, label: geography} + - {column: D, row: 9041, expected_value: Females, label: sex} + - {column: E, row: 9041, expected_value: Self-employed, label: employment type} + - {column: J, row: 9041, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9047 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9047, expected_value: E12000009, label: geography} + - {column: D, row: 9047, expected_value: Females, label: sex} + - {column: E, row: 9047, expected_value: Self-employed, label: employment type} + - {column: J, row: 9047, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9049 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9049, expected_value: E12000009, label: geography} + - {column: D, row: 9049, expected_value: Females, label: sex} + - {column: E, row: 9049, expected_value: Self-employed, label: employment type} + - {column: J, row: 9049, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9051 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9051, expected_value: E12000009, label: geography} + - {column: D, row: 9051, expected_value: Females, label: sex} + - {column: E, row: 9051, expected_value: Self-employed, label: employment type} + - {column: J, row: 9051, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9053 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9053, expected_value: E12000009, label: geography} + - {column: D, row: 9053, expected_value: Females, label: sex} + - {column: E, row: 9053, expected_value: Self-employed, label: employment type} + - {column: J, row: 9053, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9057 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9057, expected_value: E12000009, label: geography} + - {column: D, row: 9057, expected_value: Females, label: sex} + - {column: E, row: 9057, expected_value: Self-employed, label: employment type} + - {column: J, row: 9057, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9059 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9059, expected_value: E12000009, label: geography} + - {column: D, row: 9059, expected_value: Females, label: sex} + - {column: E, row: 9059, expected_value: Self-employed, label: employment type} + - {column: J, row: 9059, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9069 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9069, expected_value: E12000009, label: geography} + - {column: D, row: 9069, expected_value: Females, label: sex} + - {column: E, row: 9069, expected_value: Self-employed, label: employment type} + - {column: J, row: 9069, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9073 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9073, expected_value: E12000009, label: geography} + - {column: D, row: 9073, expected_value: Females, label: sex} + - {column: E, row: 9073, expected_value: Self-employed, label: employment type} + - {column: J, row: 9073, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number diff --git a/packages/ons/aps218_occupation_jan_dec_2025/source_package.yaml b/packages/ons/aps218_occupation_jan_dec_2025/source_package.yaml new file mode 100644 index 00000000..5503654c --- /dev/null +++ b/packages/ons/aps218_occupation_jan_dec_2025/source_package.yaml @@ -0,0 +1,151019 @@ +# ONS Annual Population Survey estimates on Nomis, dataset APS218 ('annual population +# survey - regional - occupation (SOC2020) by sex by employment type', NM_218_1), Jan +# 2025-Dec 2025, for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the pinned Nomis API response, long format, +# one row per geography, employment type, sex, occupation and measure. +# +# People in employment, resident in the UK, its four countries and the nine English +# regions, by sex (all persons, males, females) and by employment type (all, employees, +# self-employed; Nomis's fourth type, 'Other', which 'includes unpaid family worker', is +# not ported), for all occupations and each SOC 2020 major group (9) and sub-major group +# (26), counting full-time and part-time workers and all job types together. Nomis +# describes the APS as 'a residence based labour market survey' +# (https://www.nomisweb.co.uk/sources/aps). Each estimate (Nomis 'Value') is a fact of +# concept ons.aps_people_in_employment, statistic estimate; the half-width of its +# confidence interval (Nomis 'Confidence') is a second fact, of concept +# ons.aps_people_in_employment_confidence_interval_half_width and statistic +# confidence_interval_half_width, where Nomis publishes one. Nomis does not state the +# interval's level on the dataset's pages; Scottish Government APS publications call the +# limits Nomis publishes 95 per cent limits. Nomis's pages also do not say whether the +# occupation is that of the main job. 8320 facts. +# +# Nomis rounds counts to the nearest hundred and flags every cell in OBS_STATUS: A 'Normal +# Value'; F 'Estimate and confidence interval not available since the group sample size is +# zero or disclosive (0-2)'; G 'Estimate and confidence interval unreliable since the +# group sample size is small (3-9)'; H 'Estimate is less than 500'. A blank cell (F, H) +# emits no fact. Nomis marks an interval G, and sometimes F, while publishing its +# estimate: the estimate is ported with its interval's status cell guarded, so the flag is +# in its lineage, and the interval emits no fact. +# +# Record sets are one per geography, sex, employment type and statistic, with the +# occupations as rows (groupby soc2020_group). A major group's facts carry +# soc2020_major_group, a sub-major group's soc2020_sub_major_group; the all-occupations +# rows are the record sets' totals. The detail rows hold both levels, so select one level +# by its filter and never sum across both. Row labels are SOC 2020 names in ASHE Table 2's +# wording; each row's guards compare Nomis's own text. +# +# Parity on the published estimates, asserted by the generator: each major group's +# sub-major groups add to it, the four countries to the UK and the nine regions to +# England, within Nomis's rounding (50 per summed cell). The nine major groups add to less +# than the all-occupations total, by at most 0.36% of it here; Nomis publishes no residual +# category, so the difference is people in employment who are in the total and in no major +# group. +# +# Nomis's metadata records one revision of the dataset: on 27 January 2023 it re-released +# October 2021 to September 2022, 'Estimates revised due to identified error'. That period +# is not ported; this one is Nomis revision 0, released 21 April 2026. +schema_version: ledger.source_package.v1 +package_id: ons-aps218-occupation-jan-dec-2025 +label: 'ONS Annual Population Survey (Nomis APS218): people in employment by SOC 2020 major and sub-major + group, sex and employment status, UK, countries and English regions, January to December 2025' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + employment_status: Employment status + statistic: Statistic +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + employment_status: + all: All in employment + employee: Employees + self_employed: Self-employed + statistic: + estimate: Estimate + confidence_interval_half_width: Confidence interval half-width +artifact: + source_name: ons + source_table: Annual Population Survey, Nomis dataset APS218 (NM_218_1), 'annual population survey - + regional - occupation (SOC2020) by sex by employment type', Jan 2025-Dec 2025 + resource_package: db + resource_directory: data/ons/aps218_occupation_jan_dec_2025 + manifest: manifest.yaml + vintage: nomis_aps218_jan_dec_2025_revision_0 + extracted_at: '2026-11-04' + extraction_method: Nomis API delimited text full-row parse, one source row per geography, employment + type, sex, occupation and measure + parser: delimited_text_full_rows + sheet_name: aps218_occupation_jan_dec_2025.csv + artifact_year: 2025 +record_sets: +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2, expected_value: K02000001, label: geography} + - {column: D, row: 2, expected_value: All persons, label: sex} + - {column: E, row: 2, expected_value: Total, label: employment type} + - {column: J, row: 2, expected_value: Value, label: measure} + - {column: L, row: 3, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4, expected_value: K02000001, label: geography} + - {column: D, row: 4, expected_value: All persons, label: sex} + - {column: E, row: 4, expected_value: Total, label: employment type} + - {column: J, row: 4, expected_value: Value, label: measure} + - {column: L, row: 5, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6, expected_value: K02000001, label: geography} + - {column: D, row: 6, expected_value: All persons, label: sex} + - {column: E, row: 6, expected_value: Total, label: employment type} + - {column: J, row: 6, expected_value: Value, label: measure} + - {column: L, row: 7, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8, expected_value: K02000001, label: geography} + - {column: D, row: 8, expected_value: All persons, label: sex} + - {column: E, row: 8, expected_value: Total, label: employment type} + - {column: J, row: 8, expected_value: Value, label: measure} + - {column: L, row: 9, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 10, expected_value: K02000001, label: geography} + - {column: D, row: 10, expected_value: All persons, label: sex} + - {column: E, row: 10, expected_value: Total, label: employment type} + - {column: J, row: 10, expected_value: Value, label: measure} + - {column: L, row: 11, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 12 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 12, expected_value: K02000001, label: geography} + - {column: D, row: 12, expected_value: All persons, label: sex} + - {column: E, row: 12, expected_value: Total, label: employment type} + - {column: J, row: 12, expected_value: Value, label: measure} + - {column: L, row: 13, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 14 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 14, expected_value: K02000001, label: geography} + - {column: D, row: 14, expected_value: All persons, label: sex} + - {column: E, row: 14, expected_value: Total, label: employment type} + - {column: J, row: 14, expected_value: Value, label: measure} + - {column: L, row: 15, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 16 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 16, expected_value: K02000001, label: geography} + - {column: D, row: 16, expected_value: All persons, label: sex} + - {column: E, row: 16, expected_value: Total, label: employment type} + - {column: J, row: 16, expected_value: Value, label: measure} + - {column: L, row: 17, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 18 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 18, expected_value: K02000001, label: geography} + - {column: D, row: 18, expected_value: All persons, label: sex} + - {column: E, row: 18, expected_value: Total, label: employment type} + - {column: J, row: 18, expected_value: Value, label: measure} + - {column: L, row: 19, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 20 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 20, expected_value: K02000001, label: geography} + - {column: D, row: 20, expected_value: All persons, label: sex} + - {column: E, row: 20, expected_value: Total, label: employment type} + - {column: J, row: 20, expected_value: Value, label: measure} + - {column: L, row: 21, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 22 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 22, expected_value: K02000001, label: geography} + - {column: D, row: 22, expected_value: All persons, label: sex} + - {column: E, row: 22, expected_value: Total, label: employment type} + - {column: J, row: 22, expected_value: Value, label: measure} + - {column: L, row: 23, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 24 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 24, expected_value: K02000001, label: geography} + - {column: D, row: 24, expected_value: All persons, label: sex} + - {column: E, row: 24, expected_value: Total, label: employment type} + - {column: J, row: 24, expected_value: Value, label: measure} + - {column: L, row: 25, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 26 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 26, expected_value: K02000001, label: geography} + - {column: D, row: 26, expected_value: All persons, label: sex} + - {column: E, row: 26, expected_value: Total, label: employment type} + - {column: J, row: 26, expected_value: Value, label: measure} + - {column: L, row: 27, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 28 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 28, expected_value: K02000001, label: geography} + - {column: D, row: 28, expected_value: All persons, label: sex} + - {column: E, row: 28, expected_value: Total, label: employment type} + - {column: J, row: 28, expected_value: Value, label: measure} + - {column: L, row: 29, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 30 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 30, expected_value: K02000001, label: geography} + - {column: D, row: 30, expected_value: All persons, label: sex} + - {column: E, row: 30, expected_value: Total, label: employment type} + - {column: J, row: 30, expected_value: Value, label: measure} + - {column: L, row: 31, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 32 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 32, expected_value: K02000001, label: geography} + - {column: D, row: 32, expected_value: All persons, label: sex} + - {column: E, row: 32, expected_value: Total, label: employment type} + - {column: J, row: 32, expected_value: Value, label: measure} + - {column: L, row: 33, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 34 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 34, expected_value: K02000001, label: geography} + - {column: D, row: 34, expected_value: All persons, label: sex} + - {column: E, row: 34, expected_value: Total, label: employment type} + - {column: J, row: 34, expected_value: Value, label: measure} + - {column: L, row: 35, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 36 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 36, expected_value: K02000001, label: geography} + - {column: D, row: 36, expected_value: All persons, label: sex} + - {column: E, row: 36, expected_value: Total, label: employment type} + - {column: J, row: 36, expected_value: Value, label: measure} + - {column: L, row: 37, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 38 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 38, expected_value: K02000001, label: geography} + - {column: D, row: 38, expected_value: All persons, label: sex} + - {column: E, row: 38, expected_value: Total, label: employment type} + - {column: J, row: 38, expected_value: Value, label: measure} + - {column: L, row: 39, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 40 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 40, expected_value: K02000001, label: geography} + - {column: D, row: 40, expected_value: All persons, label: sex} + - {column: E, row: 40, expected_value: Total, label: employment type} + - {column: J, row: 40, expected_value: Value, label: measure} + - {column: L, row: 41, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 42 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 42, expected_value: K02000001, label: geography} + - {column: D, row: 42, expected_value: All persons, label: sex} + - {column: E, row: 42, expected_value: Total, label: employment type} + - {column: J, row: 42, expected_value: Value, label: measure} + - {column: L, row: 43, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 44 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 44, expected_value: K02000001, label: geography} + - {column: D, row: 44, expected_value: All persons, label: sex} + - {column: E, row: 44, expected_value: Total, label: employment type} + - {column: J, row: 44, expected_value: Value, label: measure} + - {column: L, row: 45, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 46 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 46, expected_value: K02000001, label: geography} + - {column: D, row: 46, expected_value: All persons, label: sex} + - {column: E, row: 46, expected_value: Total, label: employment type} + - {column: J, row: 46, expected_value: Value, label: measure} + - {column: L, row: 47, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 48 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 48, expected_value: K02000001, label: geography} + - {column: D, row: 48, expected_value: All persons, label: sex} + - {column: E, row: 48, expected_value: Total, label: employment type} + - {column: J, row: 48, expected_value: Value, label: measure} + - {column: L, row: 49, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 50 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 50, expected_value: K02000001, label: geography} + - {column: D, row: 50, expected_value: All persons, label: sex} + - {column: E, row: 50, expected_value: Total, label: employment type} + - {column: J, row: 50, expected_value: Value, label: measure} + - {column: L, row: 51, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 52 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 52, expected_value: K02000001, label: geography} + - {column: D, row: 52, expected_value: All persons, label: sex} + - {column: E, row: 52, expected_value: Total, label: employment type} + - {column: J, row: 52, expected_value: Value, label: measure} + - {column: L, row: 53, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 54 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 54, expected_value: K02000001, label: geography} + - {column: D, row: 54, expected_value: All persons, label: sex} + - {column: E, row: 54, expected_value: Total, label: employment type} + - {column: J, row: 54, expected_value: Value, label: measure} + - {column: L, row: 55, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 56 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 56, expected_value: K02000001, label: geography} + - {column: D, row: 56, expected_value: All persons, label: sex} + - {column: E, row: 56, expected_value: Total, label: employment type} + - {column: J, row: 56, expected_value: Value, label: measure} + - {column: L, row: 57, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 58 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 58, expected_value: K02000001, label: geography} + - {column: D, row: 58, expected_value: All persons, label: sex} + - {column: E, row: 58, expected_value: Total, label: employment type} + - {column: J, row: 58, expected_value: Value, label: measure} + - {column: L, row: 59, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 60 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 60, expected_value: K02000001, label: geography} + - {column: D, row: 60, expected_value: All persons, label: sex} + - {column: E, row: 60, expected_value: Total, label: employment type} + - {column: J, row: 60, expected_value: Value, label: measure} + - {column: L, row: 61, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 62 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 62, expected_value: K02000001, label: geography} + - {column: D, row: 62, expected_value: All persons, label: sex} + - {column: E, row: 62, expected_value: Total, label: employment type} + - {column: J, row: 62, expected_value: Value, label: measure} + - {column: L, row: 63, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 64 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 64, expected_value: K02000001, label: geography} + - {column: D, row: 64, expected_value: All persons, label: sex} + - {column: E, row: 64, expected_value: Total, label: employment type} + - {column: J, row: 64, expected_value: Value, label: measure} + - {column: L, row: 65, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 66 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 66, expected_value: K02000001, label: geography} + - {column: D, row: 66, expected_value: All persons, label: sex} + - {column: E, row: 66, expected_value: Total, label: employment type} + - {column: J, row: 66, expected_value: Value, label: measure} + - {column: L, row: 67, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 68 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 68, expected_value: K02000001, label: geography} + - {column: D, row: 68, expected_value: All persons, label: sex} + - {column: E, row: 68, expected_value: Total, label: employment type} + - {column: J, row: 68, expected_value: Value, label: measure} + - {column: L, row: 69, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 70 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 70, expected_value: K02000001, label: geography} + - {column: D, row: 70, expected_value: All persons, label: sex} + - {column: E, row: 70, expected_value: Total, label: employment type} + - {column: J, row: 70, expected_value: Value, label: measure} + - {column: L, row: 71, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 72 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 72, expected_value: K02000001, label: geography} + - {column: D, row: 72, expected_value: All persons, label: sex} + - {column: E, row: 72, expected_value: Total, label: employment type} + - {column: J, row: 72, expected_value: Value, label: measure} + - {column: L, row: 73, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3, expected_value: K02000001, label: geography} + - {column: D, row: 3, expected_value: All persons, label: sex} + - {column: E, row: 3, expected_value: Total, label: employment type} + - {column: J, row: 3, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5, expected_value: K02000001, label: geography} + - {column: D, row: 5, expected_value: All persons, label: sex} + - {column: E, row: 5, expected_value: Total, label: employment type} + - {column: J, row: 5, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7, expected_value: K02000001, label: geography} + - {column: D, row: 7, expected_value: All persons, label: sex} + - {column: E, row: 7, expected_value: Total, label: employment type} + - {column: J, row: 7, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9, expected_value: K02000001, label: geography} + - {column: D, row: 9, expected_value: All persons, label: sex} + - {column: E, row: 9, expected_value: Total, label: employment type} + - {column: J, row: 9, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 11 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 11, expected_value: K02000001, label: geography} + - {column: D, row: 11, expected_value: All persons, label: sex} + - {column: E, row: 11, expected_value: Total, label: employment type} + - {column: J, row: 11, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 13 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 13, expected_value: K02000001, label: geography} + - {column: D, row: 13, expected_value: All persons, label: sex} + - {column: E, row: 13, expected_value: Total, label: employment type} + - {column: J, row: 13, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 15 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 15, expected_value: K02000001, label: geography} + - {column: D, row: 15, expected_value: All persons, label: sex} + - {column: E, row: 15, expected_value: Total, label: employment type} + - {column: J, row: 15, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 17 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 17, expected_value: K02000001, label: geography} + - {column: D, row: 17, expected_value: All persons, label: sex} + - {column: E, row: 17, expected_value: Total, label: employment type} + - {column: J, row: 17, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 19 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 19, expected_value: K02000001, label: geography} + - {column: D, row: 19, expected_value: All persons, label: sex} + - {column: E, row: 19, expected_value: Total, label: employment type} + - {column: J, row: 19, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 21 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 21, expected_value: K02000001, label: geography} + - {column: D, row: 21, expected_value: All persons, label: sex} + - {column: E, row: 21, expected_value: Total, label: employment type} + - {column: J, row: 21, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 23 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 23, expected_value: K02000001, label: geography} + - {column: D, row: 23, expected_value: All persons, label: sex} + - {column: E, row: 23, expected_value: Total, label: employment type} + - {column: J, row: 23, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 25 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 25, expected_value: K02000001, label: geography} + - {column: D, row: 25, expected_value: All persons, label: sex} + - {column: E, row: 25, expected_value: Total, label: employment type} + - {column: J, row: 25, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 27 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 27, expected_value: K02000001, label: geography} + - {column: D, row: 27, expected_value: All persons, label: sex} + - {column: E, row: 27, expected_value: Total, label: employment type} + - {column: J, row: 27, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 29 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 29, expected_value: K02000001, label: geography} + - {column: D, row: 29, expected_value: All persons, label: sex} + - {column: E, row: 29, expected_value: Total, label: employment type} + - {column: J, row: 29, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 31 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 31, expected_value: K02000001, label: geography} + - {column: D, row: 31, expected_value: All persons, label: sex} + - {column: E, row: 31, expected_value: Total, label: employment type} + - {column: J, row: 31, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 33 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 33, expected_value: K02000001, label: geography} + - {column: D, row: 33, expected_value: All persons, label: sex} + - {column: E, row: 33, expected_value: Total, label: employment type} + - {column: J, row: 33, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 35 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 35, expected_value: K02000001, label: geography} + - {column: D, row: 35, expected_value: All persons, label: sex} + - {column: E, row: 35, expected_value: Total, label: employment type} + - {column: J, row: 35, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 37 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 37, expected_value: K02000001, label: geography} + - {column: D, row: 37, expected_value: All persons, label: sex} + - {column: E, row: 37, expected_value: Total, label: employment type} + - {column: J, row: 37, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 39 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 39, expected_value: K02000001, label: geography} + - {column: D, row: 39, expected_value: All persons, label: sex} + - {column: E, row: 39, expected_value: Total, label: employment type} + - {column: J, row: 39, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 41 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 41, expected_value: K02000001, label: geography} + - {column: D, row: 41, expected_value: All persons, label: sex} + - {column: E, row: 41, expected_value: Total, label: employment type} + - {column: J, row: 41, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 43 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 43, expected_value: K02000001, label: geography} + - {column: D, row: 43, expected_value: All persons, label: sex} + - {column: E, row: 43, expected_value: Total, label: employment type} + - {column: J, row: 43, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 45 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 45, expected_value: K02000001, label: geography} + - {column: D, row: 45, expected_value: All persons, label: sex} + - {column: E, row: 45, expected_value: Total, label: employment type} + - {column: J, row: 45, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 47 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 47, expected_value: K02000001, label: geography} + - {column: D, row: 47, expected_value: All persons, label: sex} + - {column: E, row: 47, expected_value: Total, label: employment type} + - {column: J, row: 47, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 49 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 49, expected_value: K02000001, label: geography} + - {column: D, row: 49, expected_value: All persons, label: sex} + - {column: E, row: 49, expected_value: Total, label: employment type} + - {column: J, row: 49, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 51 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 51, expected_value: K02000001, label: geography} + - {column: D, row: 51, expected_value: All persons, label: sex} + - {column: E, row: 51, expected_value: Total, label: employment type} + - {column: J, row: 51, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 53 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 53, expected_value: K02000001, label: geography} + - {column: D, row: 53, expected_value: All persons, label: sex} + - {column: E, row: 53, expected_value: Total, label: employment type} + - {column: J, row: 53, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 55 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 55, expected_value: K02000001, label: geography} + - {column: D, row: 55, expected_value: All persons, label: sex} + - {column: E, row: 55, expected_value: Total, label: employment type} + - {column: J, row: 55, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 57 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 57, expected_value: K02000001, label: geography} + - {column: D, row: 57, expected_value: All persons, label: sex} + - {column: E, row: 57, expected_value: Total, label: employment type} + - {column: J, row: 57, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 59 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 59, expected_value: K02000001, label: geography} + - {column: D, row: 59, expected_value: All persons, label: sex} + - {column: E, row: 59, expected_value: Total, label: employment type} + - {column: J, row: 59, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 61 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 61, expected_value: K02000001, label: geography} + - {column: D, row: 61, expected_value: All persons, label: sex} + - {column: E, row: 61, expected_value: Total, label: employment type} + - {column: J, row: 61, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 63 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 63, expected_value: K02000001, label: geography} + - {column: D, row: 63, expected_value: All persons, label: sex} + - {column: E, row: 63, expected_value: Total, label: employment type} + - {column: J, row: 63, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 65 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 65, expected_value: K02000001, label: geography} + - {column: D, row: 65, expected_value: All persons, label: sex} + - {column: E, row: 65, expected_value: Total, label: employment type} + - {column: J, row: 65, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 67 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 67, expected_value: K02000001, label: geography} + - {column: D, row: 67, expected_value: All persons, label: sex} + - {column: E, row: 67, expected_value: Total, label: employment type} + - {column: J, row: 67, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 69 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 69, expected_value: K02000001, label: geography} + - {column: D, row: 69, expected_value: All persons, label: sex} + - {column: E, row: 69, expected_value: Total, label: employment type} + - {column: J, row: 69, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 71 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 71, expected_value: K02000001, label: geography} + - {column: D, row: 71, expected_value: All persons, label: sex} + - {column: E, row: 71, expected_value: Total, label: employment type} + - {column: J, row: 71, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 73 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 73, expected_value: K02000001, label: geography} + - {column: D, row: 73, expected_value: All persons, label: sex} + - {column: E, row: 73, expected_value: Total, label: employment type} + - {column: J, row: 73, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 218 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 218, expected_value: K02000001, label: geography} + - {column: D, row: 218, expected_value: All persons, label: sex} + - {column: E, row: 218, expected_value: Employee, label: employment type} + - {column: J, row: 218, expected_value: Value, label: measure} + - {column: L, row: 219, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 220 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 220, expected_value: K02000001, label: geography} + - {column: D, row: 220, expected_value: All persons, label: sex} + - {column: E, row: 220, expected_value: Employee, label: employment type} + - {column: J, row: 220, expected_value: Value, label: measure} + - {column: L, row: 221, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 222 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 222, expected_value: K02000001, label: geography} + - {column: D, row: 222, expected_value: All persons, label: sex} + - {column: E, row: 222, expected_value: Employee, label: employment type} + - {column: J, row: 222, expected_value: Value, label: measure} + - {column: L, row: 223, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 224 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 224, expected_value: K02000001, label: geography} + - {column: D, row: 224, expected_value: All persons, label: sex} + - {column: E, row: 224, expected_value: Employee, label: employment type} + - {column: J, row: 224, expected_value: Value, label: measure} + - {column: L, row: 225, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 226 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 226, expected_value: K02000001, label: geography} + - {column: D, row: 226, expected_value: All persons, label: sex} + - {column: E, row: 226, expected_value: Employee, label: employment type} + - {column: J, row: 226, expected_value: Value, label: measure} + - {column: L, row: 227, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 228 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 228, expected_value: K02000001, label: geography} + - {column: D, row: 228, expected_value: All persons, label: sex} + - {column: E, row: 228, expected_value: Employee, label: employment type} + - {column: J, row: 228, expected_value: Value, label: measure} + - {column: L, row: 229, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 230 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 230, expected_value: K02000001, label: geography} + - {column: D, row: 230, expected_value: All persons, label: sex} + - {column: E, row: 230, expected_value: Employee, label: employment type} + - {column: J, row: 230, expected_value: Value, label: measure} + - {column: L, row: 231, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 232 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 232, expected_value: K02000001, label: geography} + - {column: D, row: 232, expected_value: All persons, label: sex} + - {column: E, row: 232, expected_value: Employee, label: employment type} + - {column: J, row: 232, expected_value: Value, label: measure} + - {column: L, row: 233, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 234 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 234, expected_value: K02000001, label: geography} + - {column: D, row: 234, expected_value: All persons, label: sex} + - {column: E, row: 234, expected_value: Employee, label: employment type} + - {column: J, row: 234, expected_value: Value, label: measure} + - {column: L, row: 235, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 236 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 236, expected_value: K02000001, label: geography} + - {column: D, row: 236, expected_value: All persons, label: sex} + - {column: E, row: 236, expected_value: Employee, label: employment type} + - {column: J, row: 236, expected_value: Value, label: measure} + - {column: L, row: 237, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 238 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 238, expected_value: K02000001, label: geography} + - {column: D, row: 238, expected_value: All persons, label: sex} + - {column: E, row: 238, expected_value: Employee, label: employment type} + - {column: J, row: 238, expected_value: Value, label: measure} + - {column: L, row: 239, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 240 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 240, expected_value: K02000001, label: geography} + - {column: D, row: 240, expected_value: All persons, label: sex} + - {column: E, row: 240, expected_value: Employee, label: employment type} + - {column: J, row: 240, expected_value: Value, label: measure} + - {column: L, row: 241, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 242 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 242, expected_value: K02000001, label: geography} + - {column: D, row: 242, expected_value: All persons, label: sex} + - {column: E, row: 242, expected_value: Employee, label: employment type} + - {column: J, row: 242, expected_value: Value, label: measure} + - {column: L, row: 243, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 244 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 244, expected_value: K02000001, label: geography} + - {column: D, row: 244, expected_value: All persons, label: sex} + - {column: E, row: 244, expected_value: Employee, label: employment type} + - {column: J, row: 244, expected_value: Value, label: measure} + - {column: L, row: 245, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 246 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 246, expected_value: K02000001, label: geography} + - {column: D, row: 246, expected_value: All persons, label: sex} + - {column: E, row: 246, expected_value: Employee, label: employment type} + - {column: J, row: 246, expected_value: Value, label: measure} + - {column: L, row: 247, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 248 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 248, expected_value: K02000001, label: geography} + - {column: D, row: 248, expected_value: All persons, label: sex} + - {column: E, row: 248, expected_value: Employee, label: employment type} + - {column: J, row: 248, expected_value: Value, label: measure} + - {column: L, row: 249, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 250 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 250, expected_value: K02000001, label: geography} + - {column: D, row: 250, expected_value: All persons, label: sex} + - {column: E, row: 250, expected_value: Employee, label: employment type} + - {column: J, row: 250, expected_value: Value, label: measure} + - {column: L, row: 251, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 252 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 252, expected_value: K02000001, label: geography} + - {column: D, row: 252, expected_value: All persons, label: sex} + - {column: E, row: 252, expected_value: Employee, label: employment type} + - {column: J, row: 252, expected_value: Value, label: measure} + - {column: L, row: 253, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 254 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 254, expected_value: K02000001, label: geography} + - {column: D, row: 254, expected_value: All persons, label: sex} + - {column: E, row: 254, expected_value: Employee, label: employment type} + - {column: J, row: 254, expected_value: Value, label: measure} + - {column: L, row: 255, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 256 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 256, expected_value: K02000001, label: geography} + - {column: D, row: 256, expected_value: All persons, label: sex} + - {column: E, row: 256, expected_value: Employee, label: employment type} + - {column: J, row: 256, expected_value: Value, label: measure} + - {column: L, row: 257, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 258 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 258, expected_value: K02000001, label: geography} + - {column: D, row: 258, expected_value: All persons, label: sex} + - {column: E, row: 258, expected_value: Employee, label: employment type} + - {column: J, row: 258, expected_value: Value, label: measure} + - {column: L, row: 259, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 260 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 260, expected_value: K02000001, label: geography} + - {column: D, row: 260, expected_value: All persons, label: sex} + - {column: E, row: 260, expected_value: Employee, label: employment type} + - {column: J, row: 260, expected_value: Value, label: measure} + - {column: L, row: 261, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 262 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 262, expected_value: K02000001, label: geography} + - {column: D, row: 262, expected_value: All persons, label: sex} + - {column: E, row: 262, expected_value: Employee, label: employment type} + - {column: J, row: 262, expected_value: Value, label: measure} + - {column: L, row: 263, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 264 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 264, expected_value: K02000001, label: geography} + - {column: D, row: 264, expected_value: All persons, label: sex} + - {column: E, row: 264, expected_value: Employee, label: employment type} + - {column: J, row: 264, expected_value: Value, label: measure} + - {column: L, row: 265, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 266 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 266, expected_value: K02000001, label: geography} + - {column: D, row: 266, expected_value: All persons, label: sex} + - {column: E, row: 266, expected_value: Employee, label: employment type} + - {column: J, row: 266, expected_value: Value, label: measure} + - {column: L, row: 267, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 268 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 268, expected_value: K02000001, label: geography} + - {column: D, row: 268, expected_value: All persons, label: sex} + - {column: E, row: 268, expected_value: Employee, label: employment type} + - {column: J, row: 268, expected_value: Value, label: measure} + - {column: L, row: 269, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 270 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 270, expected_value: K02000001, label: geography} + - {column: D, row: 270, expected_value: All persons, label: sex} + - {column: E, row: 270, expected_value: Employee, label: employment type} + - {column: J, row: 270, expected_value: Value, label: measure} + - {column: L, row: 271, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 272 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 272, expected_value: K02000001, label: geography} + - {column: D, row: 272, expected_value: All persons, label: sex} + - {column: E, row: 272, expected_value: Employee, label: employment type} + - {column: J, row: 272, expected_value: Value, label: measure} + - {column: L, row: 273, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 274 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 274, expected_value: K02000001, label: geography} + - {column: D, row: 274, expected_value: All persons, label: sex} + - {column: E, row: 274, expected_value: Employee, label: employment type} + - {column: J, row: 274, expected_value: Value, label: measure} + - {column: L, row: 275, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 276 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 276, expected_value: K02000001, label: geography} + - {column: D, row: 276, expected_value: All persons, label: sex} + - {column: E, row: 276, expected_value: Employee, label: employment type} + - {column: J, row: 276, expected_value: Value, label: measure} + - {column: L, row: 277, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 278 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 278, expected_value: K02000001, label: geography} + - {column: D, row: 278, expected_value: All persons, label: sex} + - {column: E, row: 278, expected_value: Employee, label: employment type} + - {column: J, row: 278, expected_value: Value, label: measure} + - {column: L, row: 279, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 280 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 280, expected_value: K02000001, label: geography} + - {column: D, row: 280, expected_value: All persons, label: sex} + - {column: E, row: 280, expected_value: Employee, label: employment type} + - {column: J, row: 280, expected_value: Value, label: measure} + - {column: L, row: 281, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 282 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 282, expected_value: K02000001, label: geography} + - {column: D, row: 282, expected_value: All persons, label: sex} + - {column: E, row: 282, expected_value: Employee, label: employment type} + - {column: J, row: 282, expected_value: Value, label: measure} + - {column: L, row: 283, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 284 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 284, expected_value: K02000001, label: geography} + - {column: D, row: 284, expected_value: All persons, label: sex} + - {column: E, row: 284, expected_value: Employee, label: employment type} + - {column: J, row: 284, expected_value: Value, label: measure} + - {column: L, row: 285, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 286 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 286, expected_value: K02000001, label: geography} + - {column: D, row: 286, expected_value: All persons, label: sex} + - {column: E, row: 286, expected_value: Employee, label: employment type} + - {column: J, row: 286, expected_value: Value, label: measure} + - {column: L, row: 287, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 288 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 288, expected_value: K02000001, label: geography} + - {column: D, row: 288, expected_value: All persons, label: sex} + - {column: E, row: 288, expected_value: Employee, label: employment type} + - {column: J, row: 288, expected_value: Value, label: measure} + - {column: L, row: 289, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 219 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 219, expected_value: K02000001, label: geography} + - {column: D, row: 219, expected_value: All persons, label: sex} + - {column: E, row: 219, expected_value: Employee, label: employment type} + - {column: J, row: 219, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 221 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 221, expected_value: K02000001, label: geography} + - {column: D, row: 221, expected_value: All persons, label: sex} + - {column: E, row: 221, expected_value: Employee, label: employment type} + - {column: J, row: 221, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 223 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 223, expected_value: K02000001, label: geography} + - {column: D, row: 223, expected_value: All persons, label: sex} + - {column: E, row: 223, expected_value: Employee, label: employment type} + - {column: J, row: 223, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 225 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 225, expected_value: K02000001, label: geography} + - {column: D, row: 225, expected_value: All persons, label: sex} + - {column: E, row: 225, expected_value: Employee, label: employment type} + - {column: J, row: 225, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 227 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 227, expected_value: K02000001, label: geography} + - {column: D, row: 227, expected_value: All persons, label: sex} + - {column: E, row: 227, expected_value: Employee, label: employment type} + - {column: J, row: 227, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 229 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 229, expected_value: K02000001, label: geography} + - {column: D, row: 229, expected_value: All persons, label: sex} + - {column: E, row: 229, expected_value: Employee, label: employment type} + - {column: J, row: 229, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 231 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 231, expected_value: K02000001, label: geography} + - {column: D, row: 231, expected_value: All persons, label: sex} + - {column: E, row: 231, expected_value: Employee, label: employment type} + - {column: J, row: 231, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 233 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 233, expected_value: K02000001, label: geography} + - {column: D, row: 233, expected_value: All persons, label: sex} + - {column: E, row: 233, expected_value: Employee, label: employment type} + - {column: J, row: 233, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 235 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 235, expected_value: K02000001, label: geography} + - {column: D, row: 235, expected_value: All persons, label: sex} + - {column: E, row: 235, expected_value: Employee, label: employment type} + - {column: J, row: 235, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 237 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 237, expected_value: K02000001, label: geography} + - {column: D, row: 237, expected_value: All persons, label: sex} + - {column: E, row: 237, expected_value: Employee, label: employment type} + - {column: J, row: 237, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 239 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 239, expected_value: K02000001, label: geography} + - {column: D, row: 239, expected_value: All persons, label: sex} + - {column: E, row: 239, expected_value: Employee, label: employment type} + - {column: J, row: 239, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 241 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 241, expected_value: K02000001, label: geography} + - {column: D, row: 241, expected_value: All persons, label: sex} + - {column: E, row: 241, expected_value: Employee, label: employment type} + - {column: J, row: 241, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 243 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 243, expected_value: K02000001, label: geography} + - {column: D, row: 243, expected_value: All persons, label: sex} + - {column: E, row: 243, expected_value: Employee, label: employment type} + - {column: J, row: 243, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 245 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 245, expected_value: K02000001, label: geography} + - {column: D, row: 245, expected_value: All persons, label: sex} + - {column: E, row: 245, expected_value: Employee, label: employment type} + - {column: J, row: 245, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 247 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 247, expected_value: K02000001, label: geography} + - {column: D, row: 247, expected_value: All persons, label: sex} + - {column: E, row: 247, expected_value: Employee, label: employment type} + - {column: J, row: 247, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 249 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 249, expected_value: K02000001, label: geography} + - {column: D, row: 249, expected_value: All persons, label: sex} + - {column: E, row: 249, expected_value: Employee, label: employment type} + - {column: J, row: 249, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 251 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 251, expected_value: K02000001, label: geography} + - {column: D, row: 251, expected_value: All persons, label: sex} + - {column: E, row: 251, expected_value: Employee, label: employment type} + - {column: J, row: 251, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 253 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 253, expected_value: K02000001, label: geography} + - {column: D, row: 253, expected_value: All persons, label: sex} + - {column: E, row: 253, expected_value: Employee, label: employment type} + - {column: J, row: 253, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 255 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 255, expected_value: K02000001, label: geography} + - {column: D, row: 255, expected_value: All persons, label: sex} + - {column: E, row: 255, expected_value: Employee, label: employment type} + - {column: J, row: 255, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 257 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 257, expected_value: K02000001, label: geography} + - {column: D, row: 257, expected_value: All persons, label: sex} + - {column: E, row: 257, expected_value: Employee, label: employment type} + - {column: J, row: 257, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 259 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 259, expected_value: K02000001, label: geography} + - {column: D, row: 259, expected_value: All persons, label: sex} + - {column: E, row: 259, expected_value: Employee, label: employment type} + - {column: J, row: 259, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 261 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 261, expected_value: K02000001, label: geography} + - {column: D, row: 261, expected_value: All persons, label: sex} + - {column: E, row: 261, expected_value: Employee, label: employment type} + - {column: J, row: 261, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 263 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 263, expected_value: K02000001, label: geography} + - {column: D, row: 263, expected_value: All persons, label: sex} + - {column: E, row: 263, expected_value: Employee, label: employment type} + - {column: J, row: 263, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 265 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 265, expected_value: K02000001, label: geography} + - {column: D, row: 265, expected_value: All persons, label: sex} + - {column: E, row: 265, expected_value: Employee, label: employment type} + - {column: J, row: 265, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 267 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 267, expected_value: K02000001, label: geography} + - {column: D, row: 267, expected_value: All persons, label: sex} + - {column: E, row: 267, expected_value: Employee, label: employment type} + - {column: J, row: 267, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 269 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 269, expected_value: K02000001, label: geography} + - {column: D, row: 269, expected_value: All persons, label: sex} + - {column: E, row: 269, expected_value: Employee, label: employment type} + - {column: J, row: 269, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 271 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 271, expected_value: K02000001, label: geography} + - {column: D, row: 271, expected_value: All persons, label: sex} + - {column: E, row: 271, expected_value: Employee, label: employment type} + - {column: J, row: 271, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 273 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 273, expected_value: K02000001, label: geography} + - {column: D, row: 273, expected_value: All persons, label: sex} + - {column: E, row: 273, expected_value: Employee, label: employment type} + - {column: J, row: 273, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 275 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 275, expected_value: K02000001, label: geography} + - {column: D, row: 275, expected_value: All persons, label: sex} + - {column: E, row: 275, expected_value: Employee, label: employment type} + - {column: J, row: 275, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 277 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 277, expected_value: K02000001, label: geography} + - {column: D, row: 277, expected_value: All persons, label: sex} + - {column: E, row: 277, expected_value: Employee, label: employment type} + - {column: J, row: 277, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 279 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 279, expected_value: K02000001, label: geography} + - {column: D, row: 279, expected_value: All persons, label: sex} + - {column: E, row: 279, expected_value: Employee, label: employment type} + - {column: J, row: 279, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 281 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 281, expected_value: K02000001, label: geography} + - {column: D, row: 281, expected_value: All persons, label: sex} + - {column: E, row: 281, expected_value: Employee, label: employment type} + - {column: J, row: 281, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 283 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 283, expected_value: K02000001, label: geography} + - {column: D, row: 283, expected_value: All persons, label: sex} + - {column: E, row: 283, expected_value: Employee, label: employment type} + - {column: J, row: 283, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 285 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 285, expected_value: K02000001, label: geography} + - {column: D, row: 285, expected_value: All persons, label: sex} + - {column: E, row: 285, expected_value: Employee, label: employment type} + - {column: J, row: 285, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 287 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 287, expected_value: K02000001, label: geography} + - {column: D, row: 287, expected_value: All persons, label: sex} + - {column: E, row: 287, expected_value: Employee, label: employment type} + - {column: J, row: 287, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 289 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 289, expected_value: K02000001, label: geography} + - {column: D, row: 289, expected_value: All persons, label: sex} + - {column: E, row: 289, expected_value: Employee, label: employment type} + - {column: J, row: 289, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 434 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 434, expected_value: K02000001, label: geography} + - {column: D, row: 434, expected_value: All persons, label: sex} + - {column: E, row: 434, expected_value: Self-employed, label: employment type} + - {column: J, row: 434, expected_value: Value, label: measure} + - {column: L, row: 435, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 436 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 436, expected_value: K02000001, label: geography} + - {column: D, row: 436, expected_value: All persons, label: sex} + - {column: E, row: 436, expected_value: Self-employed, label: employment type} + - {column: J, row: 436, expected_value: Value, label: measure} + - {column: L, row: 437, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 438 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 438, expected_value: K02000001, label: geography} + - {column: D, row: 438, expected_value: All persons, label: sex} + - {column: E, row: 438, expected_value: Self-employed, label: employment type} + - {column: J, row: 438, expected_value: Value, label: measure} + - {column: L, row: 439, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 440 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 440, expected_value: K02000001, label: geography} + - {column: D, row: 440, expected_value: All persons, label: sex} + - {column: E, row: 440, expected_value: Self-employed, label: employment type} + - {column: J, row: 440, expected_value: Value, label: measure} + - {column: L, row: 441, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 442 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 442, expected_value: K02000001, label: geography} + - {column: D, row: 442, expected_value: All persons, label: sex} + - {column: E, row: 442, expected_value: Self-employed, label: employment type} + - {column: J, row: 442, expected_value: Value, label: measure} + - {column: L, row: 443, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 444 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 444, expected_value: K02000001, label: geography} + - {column: D, row: 444, expected_value: All persons, label: sex} + - {column: E, row: 444, expected_value: Self-employed, label: employment type} + - {column: J, row: 444, expected_value: Value, label: measure} + - {column: L, row: 445, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 446 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 446, expected_value: K02000001, label: geography} + - {column: D, row: 446, expected_value: All persons, label: sex} + - {column: E, row: 446, expected_value: Self-employed, label: employment type} + - {column: J, row: 446, expected_value: Value, label: measure} + - {column: L, row: 447, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 448 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 448, expected_value: K02000001, label: geography} + - {column: D, row: 448, expected_value: All persons, label: sex} + - {column: E, row: 448, expected_value: Self-employed, label: employment type} + - {column: J, row: 448, expected_value: Value, label: measure} + - {column: L, row: 449, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 450 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 450, expected_value: K02000001, label: geography} + - {column: D, row: 450, expected_value: All persons, label: sex} + - {column: E, row: 450, expected_value: Self-employed, label: employment type} + - {column: J, row: 450, expected_value: Value, label: measure} + - {column: L, row: 451, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 452 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 452, expected_value: K02000001, label: geography} + - {column: D, row: 452, expected_value: All persons, label: sex} + - {column: E, row: 452, expected_value: Self-employed, label: employment type} + - {column: J, row: 452, expected_value: Value, label: measure} + - {column: L, row: 453, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 454 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 454, expected_value: K02000001, label: geography} + - {column: D, row: 454, expected_value: All persons, label: sex} + - {column: E, row: 454, expected_value: Self-employed, label: employment type} + - {column: J, row: 454, expected_value: Value, label: measure} + - {column: L, row: 455, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 456 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 456, expected_value: K02000001, label: geography} + - {column: D, row: 456, expected_value: All persons, label: sex} + - {column: E, row: 456, expected_value: Self-employed, label: employment type} + - {column: J, row: 456, expected_value: Value, label: measure} + - {column: L, row: 457, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 458 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 458, expected_value: K02000001, label: geography} + - {column: D, row: 458, expected_value: All persons, label: sex} + - {column: E, row: 458, expected_value: Self-employed, label: employment type} + - {column: J, row: 458, expected_value: Value, label: measure} + - {column: L, row: 459, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 460 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 460, expected_value: K02000001, label: geography} + - {column: D, row: 460, expected_value: All persons, label: sex} + - {column: E, row: 460, expected_value: Self-employed, label: employment type} + - {column: J, row: 460, expected_value: Value, label: measure} + - {column: L, row: 461, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 462 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 462, expected_value: K02000001, label: geography} + - {column: D, row: 462, expected_value: All persons, label: sex} + - {column: E, row: 462, expected_value: Self-employed, label: employment type} + - {column: J, row: 462, expected_value: Value, label: measure} + - {column: L, row: 463, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 464 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 464, expected_value: K02000001, label: geography} + - {column: D, row: 464, expected_value: All persons, label: sex} + - {column: E, row: 464, expected_value: Self-employed, label: employment type} + - {column: J, row: 464, expected_value: Value, label: measure} + - {column: L, row: 465, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 466 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 466, expected_value: K02000001, label: geography} + - {column: D, row: 466, expected_value: All persons, label: sex} + - {column: E, row: 466, expected_value: Self-employed, label: employment type} + - {column: J, row: 466, expected_value: Value, label: measure} + - {column: L, row: 467, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 468 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 468, expected_value: K02000001, label: geography} + - {column: D, row: 468, expected_value: All persons, label: sex} + - {column: E, row: 468, expected_value: Self-employed, label: employment type} + - {column: J, row: 468, expected_value: Value, label: measure} + - {column: L, row: 469, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 470 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 470, expected_value: K02000001, label: geography} + - {column: D, row: 470, expected_value: All persons, label: sex} + - {column: E, row: 470, expected_value: Self-employed, label: employment type} + - {column: J, row: 470, expected_value: Value, label: measure} + - {column: L, row: 471, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 472 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 472, expected_value: K02000001, label: geography} + - {column: D, row: 472, expected_value: All persons, label: sex} + - {column: E, row: 472, expected_value: Self-employed, label: employment type} + - {column: J, row: 472, expected_value: Value, label: measure} + - {column: L, row: 473, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 474 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 474, expected_value: K02000001, label: geography} + - {column: D, row: 474, expected_value: All persons, label: sex} + - {column: E, row: 474, expected_value: Self-employed, label: employment type} + - {column: J, row: 474, expected_value: Value, label: measure} + - {column: L, row: 475, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 476 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 476, expected_value: K02000001, label: geography} + - {column: D, row: 476, expected_value: All persons, label: sex} + - {column: E, row: 476, expected_value: Self-employed, label: employment type} + - {column: J, row: 476, expected_value: Value, label: measure} + - {column: L, row: 477, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 478 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 478, expected_value: K02000001, label: geography} + - {column: D, row: 478, expected_value: All persons, label: sex} + - {column: E, row: 478, expected_value: Self-employed, label: employment type} + - {column: J, row: 478, expected_value: Value, label: measure} + - {column: L, row: 479, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 480 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 480, expected_value: K02000001, label: geography} + - {column: D, row: 480, expected_value: All persons, label: sex} + - {column: E, row: 480, expected_value: Self-employed, label: employment type} + - {column: J, row: 480, expected_value: Value, label: measure} + - {column: L, row: 481, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 482 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 482, expected_value: K02000001, label: geography} + - {column: D, row: 482, expected_value: All persons, label: sex} + - {column: E, row: 482, expected_value: Self-employed, label: employment type} + - {column: J, row: 482, expected_value: Value, label: measure} + - {column: L, row: 483, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 484 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 484, expected_value: K02000001, label: geography} + - {column: D, row: 484, expected_value: All persons, label: sex} + - {column: E, row: 484, expected_value: Self-employed, label: employment type} + - {column: J, row: 484, expected_value: Value, label: measure} + - {column: L, row: 485, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 488 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 488, expected_value: K02000001, label: geography} + - {column: D, row: 488, expected_value: All persons, label: sex} + - {column: E, row: 488, expected_value: Self-employed, label: employment type} + - {column: J, row: 488, expected_value: Value, label: measure} + - {column: L, row: 489, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 490 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 490, expected_value: K02000001, label: geography} + - {column: D, row: 490, expected_value: All persons, label: sex} + - {column: E, row: 490, expected_value: Self-employed, label: employment type} + - {column: J, row: 490, expected_value: Value, label: measure} + - {column: L, row: 491, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 492 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 492, expected_value: K02000001, label: geography} + - {column: D, row: 492, expected_value: All persons, label: sex} + - {column: E, row: 492, expected_value: Self-employed, label: employment type} + - {column: J, row: 492, expected_value: Value, label: measure} + - {column: L, row: 493, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 494 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 494, expected_value: K02000001, label: geography} + - {column: D, row: 494, expected_value: All persons, label: sex} + - {column: E, row: 494, expected_value: Self-employed, label: employment type} + - {column: J, row: 494, expected_value: Value, label: measure} + - {column: L, row: 495, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 496 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 496, expected_value: K02000001, label: geography} + - {column: D, row: 496, expected_value: All persons, label: sex} + - {column: E, row: 496, expected_value: Self-employed, label: employment type} + - {column: J, row: 496, expected_value: Value, label: measure} + - {column: L, row: 497, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 498 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 498, expected_value: K02000001, label: geography} + - {column: D, row: 498, expected_value: All persons, label: sex} + - {column: E, row: 498, expected_value: Self-employed, label: employment type} + - {column: J, row: 498, expected_value: Value, label: measure} + - {column: L, row: 499, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 500 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 500, expected_value: K02000001, label: geography} + - {column: D, row: 500, expected_value: All persons, label: sex} + - {column: E, row: 500, expected_value: Self-employed, label: employment type} + - {column: J, row: 500, expected_value: Value, label: measure} + - {column: L, row: 501, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 502 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 502, expected_value: K02000001, label: geography} + - {column: D, row: 502, expected_value: All persons, label: sex} + - {column: E, row: 502, expected_value: Self-employed, label: employment type} + - {column: J, row: 502, expected_value: Value, label: measure} + - {column: L, row: 503, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 504 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 504, expected_value: K02000001, label: geography} + - {column: D, row: 504, expected_value: All persons, label: sex} + - {column: E, row: 504, expected_value: Self-employed, label: employment type} + - {column: J, row: 504, expected_value: Value, label: measure} + - {column: L, row: 505, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 435 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 435, expected_value: K02000001, label: geography} + - {column: D, row: 435, expected_value: All persons, label: sex} + - {column: E, row: 435, expected_value: Self-employed, label: employment type} + - {column: J, row: 435, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 437 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 437, expected_value: K02000001, label: geography} + - {column: D, row: 437, expected_value: All persons, label: sex} + - {column: E, row: 437, expected_value: Self-employed, label: employment type} + - {column: J, row: 437, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 439 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 439, expected_value: K02000001, label: geography} + - {column: D, row: 439, expected_value: All persons, label: sex} + - {column: E, row: 439, expected_value: Self-employed, label: employment type} + - {column: J, row: 439, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 441 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 441, expected_value: K02000001, label: geography} + - {column: D, row: 441, expected_value: All persons, label: sex} + - {column: E, row: 441, expected_value: Self-employed, label: employment type} + - {column: J, row: 441, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 443 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 443, expected_value: K02000001, label: geography} + - {column: D, row: 443, expected_value: All persons, label: sex} + - {column: E, row: 443, expected_value: Self-employed, label: employment type} + - {column: J, row: 443, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 445 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 445, expected_value: K02000001, label: geography} + - {column: D, row: 445, expected_value: All persons, label: sex} + - {column: E, row: 445, expected_value: Self-employed, label: employment type} + - {column: J, row: 445, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 447 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 447, expected_value: K02000001, label: geography} + - {column: D, row: 447, expected_value: All persons, label: sex} + - {column: E, row: 447, expected_value: Self-employed, label: employment type} + - {column: J, row: 447, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 449 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 449, expected_value: K02000001, label: geography} + - {column: D, row: 449, expected_value: All persons, label: sex} + - {column: E, row: 449, expected_value: Self-employed, label: employment type} + - {column: J, row: 449, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 451 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 451, expected_value: K02000001, label: geography} + - {column: D, row: 451, expected_value: All persons, label: sex} + - {column: E, row: 451, expected_value: Self-employed, label: employment type} + - {column: J, row: 451, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 453 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 453, expected_value: K02000001, label: geography} + - {column: D, row: 453, expected_value: All persons, label: sex} + - {column: E, row: 453, expected_value: Self-employed, label: employment type} + - {column: J, row: 453, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 455 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 455, expected_value: K02000001, label: geography} + - {column: D, row: 455, expected_value: All persons, label: sex} + - {column: E, row: 455, expected_value: Self-employed, label: employment type} + - {column: J, row: 455, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 457 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 457, expected_value: K02000001, label: geography} + - {column: D, row: 457, expected_value: All persons, label: sex} + - {column: E, row: 457, expected_value: Self-employed, label: employment type} + - {column: J, row: 457, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 459 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 459, expected_value: K02000001, label: geography} + - {column: D, row: 459, expected_value: All persons, label: sex} + - {column: E, row: 459, expected_value: Self-employed, label: employment type} + - {column: J, row: 459, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 461 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 461, expected_value: K02000001, label: geography} + - {column: D, row: 461, expected_value: All persons, label: sex} + - {column: E, row: 461, expected_value: Self-employed, label: employment type} + - {column: J, row: 461, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 463 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 463, expected_value: K02000001, label: geography} + - {column: D, row: 463, expected_value: All persons, label: sex} + - {column: E, row: 463, expected_value: Self-employed, label: employment type} + - {column: J, row: 463, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 465 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 465, expected_value: K02000001, label: geography} + - {column: D, row: 465, expected_value: All persons, label: sex} + - {column: E, row: 465, expected_value: Self-employed, label: employment type} + - {column: J, row: 465, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 467 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 467, expected_value: K02000001, label: geography} + - {column: D, row: 467, expected_value: All persons, label: sex} + - {column: E, row: 467, expected_value: Self-employed, label: employment type} + - {column: J, row: 467, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 469 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 469, expected_value: K02000001, label: geography} + - {column: D, row: 469, expected_value: All persons, label: sex} + - {column: E, row: 469, expected_value: Self-employed, label: employment type} + - {column: J, row: 469, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 471 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 471, expected_value: K02000001, label: geography} + - {column: D, row: 471, expected_value: All persons, label: sex} + - {column: E, row: 471, expected_value: Self-employed, label: employment type} + - {column: J, row: 471, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 473 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 473, expected_value: K02000001, label: geography} + - {column: D, row: 473, expected_value: All persons, label: sex} + - {column: E, row: 473, expected_value: Self-employed, label: employment type} + - {column: J, row: 473, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 475 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 475, expected_value: K02000001, label: geography} + - {column: D, row: 475, expected_value: All persons, label: sex} + - {column: E, row: 475, expected_value: Self-employed, label: employment type} + - {column: J, row: 475, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 477 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 477, expected_value: K02000001, label: geography} + - {column: D, row: 477, expected_value: All persons, label: sex} + - {column: E, row: 477, expected_value: Self-employed, label: employment type} + - {column: J, row: 477, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 479 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 479, expected_value: K02000001, label: geography} + - {column: D, row: 479, expected_value: All persons, label: sex} + - {column: E, row: 479, expected_value: Self-employed, label: employment type} + - {column: J, row: 479, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 481 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 481, expected_value: K02000001, label: geography} + - {column: D, row: 481, expected_value: All persons, label: sex} + - {column: E, row: 481, expected_value: Self-employed, label: employment type} + - {column: J, row: 481, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 483 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 483, expected_value: K02000001, label: geography} + - {column: D, row: 483, expected_value: All persons, label: sex} + - {column: E, row: 483, expected_value: Self-employed, label: employment type} + - {column: J, row: 483, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 485 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 485, expected_value: K02000001, label: geography} + - {column: D, row: 485, expected_value: All persons, label: sex} + - {column: E, row: 485, expected_value: Self-employed, label: employment type} + - {column: J, row: 485, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 489 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 489, expected_value: K02000001, label: geography} + - {column: D, row: 489, expected_value: All persons, label: sex} + - {column: E, row: 489, expected_value: Self-employed, label: employment type} + - {column: J, row: 489, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 491 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 491, expected_value: K02000001, label: geography} + - {column: D, row: 491, expected_value: All persons, label: sex} + - {column: E, row: 491, expected_value: Self-employed, label: employment type} + - {column: J, row: 491, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 493 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 493, expected_value: K02000001, label: geography} + - {column: D, row: 493, expected_value: All persons, label: sex} + - {column: E, row: 493, expected_value: Self-employed, label: employment type} + - {column: J, row: 493, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 495 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 495, expected_value: K02000001, label: geography} + - {column: D, row: 495, expected_value: All persons, label: sex} + - {column: E, row: 495, expected_value: Self-employed, label: employment type} + - {column: J, row: 495, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 497 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 497, expected_value: K02000001, label: geography} + - {column: D, row: 497, expected_value: All persons, label: sex} + - {column: E, row: 497, expected_value: Self-employed, label: employment type} + - {column: J, row: 497, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 499 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 499, expected_value: K02000001, label: geography} + - {column: D, row: 499, expected_value: All persons, label: sex} + - {column: E, row: 499, expected_value: Self-employed, label: employment type} + - {column: J, row: 499, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 501 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 501, expected_value: K02000001, label: geography} + - {column: D, row: 501, expected_value: All persons, label: sex} + - {column: E, row: 501, expected_value: Self-employed, label: employment type} + - {column: J, row: 501, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 503 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 503, expected_value: K02000001, label: geography} + - {column: D, row: 503, expected_value: All persons, label: sex} + - {column: E, row: 503, expected_value: Self-employed, label: employment type} + - {column: J, row: 503, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 505 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 505, expected_value: K02000001, label: geography} + - {column: D, row: 505, expected_value: All persons, label: sex} + - {column: E, row: 505, expected_value: Self-employed, label: employment type} + - {column: J, row: 505, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 74 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 74, expected_value: K02000001, label: geography} + - {column: D, row: 74, expected_value: Males, label: sex} + - {column: E, row: 74, expected_value: Total, label: employment type} + - {column: J, row: 74, expected_value: Value, label: measure} + - {column: L, row: 75, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 76 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 76, expected_value: K02000001, label: geography} + - {column: D, row: 76, expected_value: Males, label: sex} + - {column: E, row: 76, expected_value: Total, label: employment type} + - {column: J, row: 76, expected_value: Value, label: measure} + - {column: L, row: 77, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 78 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 78, expected_value: K02000001, label: geography} + - {column: D, row: 78, expected_value: Males, label: sex} + - {column: E, row: 78, expected_value: Total, label: employment type} + - {column: J, row: 78, expected_value: Value, label: measure} + - {column: L, row: 79, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 80 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 80, expected_value: K02000001, label: geography} + - {column: D, row: 80, expected_value: Males, label: sex} + - {column: E, row: 80, expected_value: Total, label: employment type} + - {column: J, row: 80, expected_value: Value, label: measure} + - {column: L, row: 81, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 82 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 82, expected_value: K02000001, label: geography} + - {column: D, row: 82, expected_value: Males, label: sex} + - {column: E, row: 82, expected_value: Total, label: employment type} + - {column: J, row: 82, expected_value: Value, label: measure} + - {column: L, row: 83, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 84 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 84, expected_value: K02000001, label: geography} + - {column: D, row: 84, expected_value: Males, label: sex} + - {column: E, row: 84, expected_value: Total, label: employment type} + - {column: J, row: 84, expected_value: Value, label: measure} + - {column: L, row: 85, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 86 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 86, expected_value: K02000001, label: geography} + - {column: D, row: 86, expected_value: Males, label: sex} + - {column: E, row: 86, expected_value: Total, label: employment type} + - {column: J, row: 86, expected_value: Value, label: measure} + - {column: L, row: 87, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 88 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 88, expected_value: K02000001, label: geography} + - {column: D, row: 88, expected_value: Males, label: sex} + - {column: E, row: 88, expected_value: Total, label: employment type} + - {column: J, row: 88, expected_value: Value, label: measure} + - {column: L, row: 89, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 90 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 90, expected_value: K02000001, label: geography} + - {column: D, row: 90, expected_value: Males, label: sex} + - {column: E, row: 90, expected_value: Total, label: employment type} + - {column: J, row: 90, expected_value: Value, label: measure} + - {column: L, row: 91, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 92 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 92, expected_value: K02000001, label: geography} + - {column: D, row: 92, expected_value: Males, label: sex} + - {column: E, row: 92, expected_value: Total, label: employment type} + - {column: J, row: 92, expected_value: Value, label: measure} + - {column: L, row: 93, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 94 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 94, expected_value: K02000001, label: geography} + - {column: D, row: 94, expected_value: Males, label: sex} + - {column: E, row: 94, expected_value: Total, label: employment type} + - {column: J, row: 94, expected_value: Value, label: measure} + - {column: L, row: 95, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 96 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 96, expected_value: K02000001, label: geography} + - {column: D, row: 96, expected_value: Males, label: sex} + - {column: E, row: 96, expected_value: Total, label: employment type} + - {column: J, row: 96, expected_value: Value, label: measure} + - {column: L, row: 97, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 98 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 98, expected_value: K02000001, label: geography} + - {column: D, row: 98, expected_value: Males, label: sex} + - {column: E, row: 98, expected_value: Total, label: employment type} + - {column: J, row: 98, expected_value: Value, label: measure} + - {column: L, row: 99, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 100 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 100, expected_value: K02000001, label: geography} + - {column: D, row: 100, expected_value: Males, label: sex} + - {column: E, row: 100, expected_value: Total, label: employment type} + - {column: J, row: 100, expected_value: Value, label: measure} + - {column: L, row: 101, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 102 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 102, expected_value: K02000001, label: geography} + - {column: D, row: 102, expected_value: Males, label: sex} + - {column: E, row: 102, expected_value: Total, label: employment type} + - {column: J, row: 102, expected_value: Value, label: measure} + - {column: L, row: 103, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 104 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 104, expected_value: K02000001, label: geography} + - {column: D, row: 104, expected_value: Males, label: sex} + - {column: E, row: 104, expected_value: Total, label: employment type} + - {column: J, row: 104, expected_value: Value, label: measure} + - {column: L, row: 105, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 106 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 106, expected_value: K02000001, label: geography} + - {column: D, row: 106, expected_value: Males, label: sex} + - {column: E, row: 106, expected_value: Total, label: employment type} + - {column: J, row: 106, expected_value: Value, label: measure} + - {column: L, row: 107, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 108 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 108, expected_value: K02000001, label: geography} + - {column: D, row: 108, expected_value: Males, label: sex} + - {column: E, row: 108, expected_value: Total, label: employment type} + - {column: J, row: 108, expected_value: Value, label: measure} + - {column: L, row: 109, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 110 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 110, expected_value: K02000001, label: geography} + - {column: D, row: 110, expected_value: Males, label: sex} + - {column: E, row: 110, expected_value: Total, label: employment type} + - {column: J, row: 110, expected_value: Value, label: measure} + - {column: L, row: 111, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 112 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 112, expected_value: K02000001, label: geography} + - {column: D, row: 112, expected_value: Males, label: sex} + - {column: E, row: 112, expected_value: Total, label: employment type} + - {column: J, row: 112, expected_value: Value, label: measure} + - {column: L, row: 113, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 114 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 114, expected_value: K02000001, label: geography} + - {column: D, row: 114, expected_value: Males, label: sex} + - {column: E, row: 114, expected_value: Total, label: employment type} + - {column: J, row: 114, expected_value: Value, label: measure} + - {column: L, row: 115, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 116 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 116, expected_value: K02000001, label: geography} + - {column: D, row: 116, expected_value: Males, label: sex} + - {column: E, row: 116, expected_value: Total, label: employment type} + - {column: J, row: 116, expected_value: Value, label: measure} + - {column: L, row: 117, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 118 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 118, expected_value: K02000001, label: geography} + - {column: D, row: 118, expected_value: Males, label: sex} + - {column: E, row: 118, expected_value: Total, label: employment type} + - {column: J, row: 118, expected_value: Value, label: measure} + - {column: L, row: 119, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 120 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 120, expected_value: K02000001, label: geography} + - {column: D, row: 120, expected_value: Males, label: sex} + - {column: E, row: 120, expected_value: Total, label: employment type} + - {column: J, row: 120, expected_value: Value, label: measure} + - {column: L, row: 121, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 122 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 122, expected_value: K02000001, label: geography} + - {column: D, row: 122, expected_value: Males, label: sex} + - {column: E, row: 122, expected_value: Total, label: employment type} + - {column: J, row: 122, expected_value: Value, label: measure} + - {column: L, row: 123, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 124 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 124, expected_value: K02000001, label: geography} + - {column: D, row: 124, expected_value: Males, label: sex} + - {column: E, row: 124, expected_value: Total, label: employment type} + - {column: J, row: 124, expected_value: Value, label: measure} + - {column: L, row: 125, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 126 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 126, expected_value: K02000001, label: geography} + - {column: D, row: 126, expected_value: Males, label: sex} + - {column: E, row: 126, expected_value: Total, label: employment type} + - {column: J, row: 126, expected_value: Value, label: measure} + - {column: L, row: 127, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 128 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 128, expected_value: K02000001, label: geography} + - {column: D, row: 128, expected_value: Males, label: sex} + - {column: E, row: 128, expected_value: Total, label: employment type} + - {column: J, row: 128, expected_value: Value, label: measure} + - {column: L, row: 129, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 130 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 130, expected_value: K02000001, label: geography} + - {column: D, row: 130, expected_value: Males, label: sex} + - {column: E, row: 130, expected_value: Total, label: employment type} + - {column: J, row: 130, expected_value: Value, label: measure} + - {column: L, row: 131, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 132 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 132, expected_value: K02000001, label: geography} + - {column: D, row: 132, expected_value: Males, label: sex} + - {column: E, row: 132, expected_value: Total, label: employment type} + - {column: J, row: 132, expected_value: Value, label: measure} + - {column: L, row: 133, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 134 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 134, expected_value: K02000001, label: geography} + - {column: D, row: 134, expected_value: Males, label: sex} + - {column: E, row: 134, expected_value: Total, label: employment type} + - {column: J, row: 134, expected_value: Value, label: measure} + - {column: L, row: 135, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 136 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 136, expected_value: K02000001, label: geography} + - {column: D, row: 136, expected_value: Males, label: sex} + - {column: E, row: 136, expected_value: Total, label: employment type} + - {column: J, row: 136, expected_value: Value, label: measure} + - {column: L, row: 137, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 138 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 138, expected_value: K02000001, label: geography} + - {column: D, row: 138, expected_value: Males, label: sex} + - {column: E, row: 138, expected_value: Total, label: employment type} + - {column: J, row: 138, expected_value: Value, label: measure} + - {column: L, row: 139, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 140 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 140, expected_value: K02000001, label: geography} + - {column: D, row: 140, expected_value: Males, label: sex} + - {column: E, row: 140, expected_value: Total, label: employment type} + - {column: J, row: 140, expected_value: Value, label: measure} + - {column: L, row: 141, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 142 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 142, expected_value: K02000001, label: geography} + - {column: D, row: 142, expected_value: Males, label: sex} + - {column: E, row: 142, expected_value: Total, label: employment type} + - {column: J, row: 142, expected_value: Value, label: measure} + - {column: L, row: 143, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 144 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 144, expected_value: K02000001, label: geography} + - {column: D, row: 144, expected_value: Males, label: sex} + - {column: E, row: 144, expected_value: Total, label: employment type} + - {column: J, row: 144, expected_value: Value, label: measure} + - {column: L, row: 145, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 75 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 75, expected_value: K02000001, label: geography} + - {column: D, row: 75, expected_value: Males, label: sex} + - {column: E, row: 75, expected_value: Total, label: employment type} + - {column: J, row: 75, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 77 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 77, expected_value: K02000001, label: geography} + - {column: D, row: 77, expected_value: Males, label: sex} + - {column: E, row: 77, expected_value: Total, label: employment type} + - {column: J, row: 77, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 79 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 79, expected_value: K02000001, label: geography} + - {column: D, row: 79, expected_value: Males, label: sex} + - {column: E, row: 79, expected_value: Total, label: employment type} + - {column: J, row: 79, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 81 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 81, expected_value: K02000001, label: geography} + - {column: D, row: 81, expected_value: Males, label: sex} + - {column: E, row: 81, expected_value: Total, label: employment type} + - {column: J, row: 81, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 83 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 83, expected_value: K02000001, label: geography} + - {column: D, row: 83, expected_value: Males, label: sex} + - {column: E, row: 83, expected_value: Total, label: employment type} + - {column: J, row: 83, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 85 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 85, expected_value: K02000001, label: geography} + - {column: D, row: 85, expected_value: Males, label: sex} + - {column: E, row: 85, expected_value: Total, label: employment type} + - {column: J, row: 85, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 87 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 87, expected_value: K02000001, label: geography} + - {column: D, row: 87, expected_value: Males, label: sex} + - {column: E, row: 87, expected_value: Total, label: employment type} + - {column: J, row: 87, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 89 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 89, expected_value: K02000001, label: geography} + - {column: D, row: 89, expected_value: Males, label: sex} + - {column: E, row: 89, expected_value: Total, label: employment type} + - {column: J, row: 89, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 91 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 91, expected_value: K02000001, label: geography} + - {column: D, row: 91, expected_value: Males, label: sex} + - {column: E, row: 91, expected_value: Total, label: employment type} + - {column: J, row: 91, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 93 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 93, expected_value: K02000001, label: geography} + - {column: D, row: 93, expected_value: Males, label: sex} + - {column: E, row: 93, expected_value: Total, label: employment type} + - {column: J, row: 93, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 95 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 95, expected_value: K02000001, label: geography} + - {column: D, row: 95, expected_value: Males, label: sex} + - {column: E, row: 95, expected_value: Total, label: employment type} + - {column: J, row: 95, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 97 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 97, expected_value: K02000001, label: geography} + - {column: D, row: 97, expected_value: Males, label: sex} + - {column: E, row: 97, expected_value: Total, label: employment type} + - {column: J, row: 97, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 99 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 99, expected_value: K02000001, label: geography} + - {column: D, row: 99, expected_value: Males, label: sex} + - {column: E, row: 99, expected_value: Total, label: employment type} + - {column: J, row: 99, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 101 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 101, expected_value: K02000001, label: geography} + - {column: D, row: 101, expected_value: Males, label: sex} + - {column: E, row: 101, expected_value: Total, label: employment type} + - {column: J, row: 101, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 103 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 103, expected_value: K02000001, label: geography} + - {column: D, row: 103, expected_value: Males, label: sex} + - {column: E, row: 103, expected_value: Total, label: employment type} + - {column: J, row: 103, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 105 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 105, expected_value: K02000001, label: geography} + - {column: D, row: 105, expected_value: Males, label: sex} + - {column: E, row: 105, expected_value: Total, label: employment type} + - {column: J, row: 105, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 107 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 107, expected_value: K02000001, label: geography} + - {column: D, row: 107, expected_value: Males, label: sex} + - {column: E, row: 107, expected_value: Total, label: employment type} + - {column: J, row: 107, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 109 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 109, expected_value: K02000001, label: geography} + - {column: D, row: 109, expected_value: Males, label: sex} + - {column: E, row: 109, expected_value: Total, label: employment type} + - {column: J, row: 109, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 111 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 111, expected_value: K02000001, label: geography} + - {column: D, row: 111, expected_value: Males, label: sex} + - {column: E, row: 111, expected_value: Total, label: employment type} + - {column: J, row: 111, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 113 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 113, expected_value: K02000001, label: geography} + - {column: D, row: 113, expected_value: Males, label: sex} + - {column: E, row: 113, expected_value: Total, label: employment type} + - {column: J, row: 113, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 115 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 115, expected_value: K02000001, label: geography} + - {column: D, row: 115, expected_value: Males, label: sex} + - {column: E, row: 115, expected_value: Total, label: employment type} + - {column: J, row: 115, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 117 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 117, expected_value: K02000001, label: geography} + - {column: D, row: 117, expected_value: Males, label: sex} + - {column: E, row: 117, expected_value: Total, label: employment type} + - {column: J, row: 117, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 119 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 119, expected_value: K02000001, label: geography} + - {column: D, row: 119, expected_value: Males, label: sex} + - {column: E, row: 119, expected_value: Total, label: employment type} + - {column: J, row: 119, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 121 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 121, expected_value: K02000001, label: geography} + - {column: D, row: 121, expected_value: Males, label: sex} + - {column: E, row: 121, expected_value: Total, label: employment type} + - {column: J, row: 121, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 123 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 123, expected_value: K02000001, label: geography} + - {column: D, row: 123, expected_value: Males, label: sex} + - {column: E, row: 123, expected_value: Total, label: employment type} + - {column: J, row: 123, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 125 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 125, expected_value: K02000001, label: geography} + - {column: D, row: 125, expected_value: Males, label: sex} + - {column: E, row: 125, expected_value: Total, label: employment type} + - {column: J, row: 125, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 127 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 127, expected_value: K02000001, label: geography} + - {column: D, row: 127, expected_value: Males, label: sex} + - {column: E, row: 127, expected_value: Total, label: employment type} + - {column: J, row: 127, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 129 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 129, expected_value: K02000001, label: geography} + - {column: D, row: 129, expected_value: Males, label: sex} + - {column: E, row: 129, expected_value: Total, label: employment type} + - {column: J, row: 129, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 131 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 131, expected_value: K02000001, label: geography} + - {column: D, row: 131, expected_value: Males, label: sex} + - {column: E, row: 131, expected_value: Total, label: employment type} + - {column: J, row: 131, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 133 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 133, expected_value: K02000001, label: geography} + - {column: D, row: 133, expected_value: Males, label: sex} + - {column: E, row: 133, expected_value: Total, label: employment type} + - {column: J, row: 133, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 135 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 135, expected_value: K02000001, label: geography} + - {column: D, row: 135, expected_value: Males, label: sex} + - {column: E, row: 135, expected_value: Total, label: employment type} + - {column: J, row: 135, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 137 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 137, expected_value: K02000001, label: geography} + - {column: D, row: 137, expected_value: Males, label: sex} + - {column: E, row: 137, expected_value: Total, label: employment type} + - {column: J, row: 137, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 139 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 139, expected_value: K02000001, label: geography} + - {column: D, row: 139, expected_value: Males, label: sex} + - {column: E, row: 139, expected_value: Total, label: employment type} + - {column: J, row: 139, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 141 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 141, expected_value: K02000001, label: geography} + - {column: D, row: 141, expected_value: Males, label: sex} + - {column: E, row: 141, expected_value: Total, label: employment type} + - {column: J, row: 141, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 143 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 143, expected_value: K02000001, label: geography} + - {column: D, row: 143, expected_value: Males, label: sex} + - {column: E, row: 143, expected_value: Total, label: employment type} + - {column: J, row: 143, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 145 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 145, expected_value: K02000001, label: geography} + - {column: D, row: 145, expected_value: Males, label: sex} + - {column: E, row: 145, expected_value: Total, label: employment type} + - {column: J, row: 145, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 290 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 290, expected_value: K02000001, label: geography} + - {column: D, row: 290, expected_value: Males, label: sex} + - {column: E, row: 290, expected_value: Employee, label: employment type} + - {column: J, row: 290, expected_value: Value, label: measure} + - {column: L, row: 291, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 292 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 292, expected_value: K02000001, label: geography} + - {column: D, row: 292, expected_value: Males, label: sex} + - {column: E, row: 292, expected_value: Employee, label: employment type} + - {column: J, row: 292, expected_value: Value, label: measure} + - {column: L, row: 293, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 294 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 294, expected_value: K02000001, label: geography} + - {column: D, row: 294, expected_value: Males, label: sex} + - {column: E, row: 294, expected_value: Employee, label: employment type} + - {column: J, row: 294, expected_value: Value, label: measure} + - {column: L, row: 295, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 296 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 296, expected_value: K02000001, label: geography} + - {column: D, row: 296, expected_value: Males, label: sex} + - {column: E, row: 296, expected_value: Employee, label: employment type} + - {column: J, row: 296, expected_value: Value, label: measure} + - {column: L, row: 297, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 298 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 298, expected_value: K02000001, label: geography} + - {column: D, row: 298, expected_value: Males, label: sex} + - {column: E, row: 298, expected_value: Employee, label: employment type} + - {column: J, row: 298, expected_value: Value, label: measure} + - {column: L, row: 299, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 300 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 300, expected_value: K02000001, label: geography} + - {column: D, row: 300, expected_value: Males, label: sex} + - {column: E, row: 300, expected_value: Employee, label: employment type} + - {column: J, row: 300, expected_value: Value, label: measure} + - {column: L, row: 301, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 302 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 302, expected_value: K02000001, label: geography} + - {column: D, row: 302, expected_value: Males, label: sex} + - {column: E, row: 302, expected_value: Employee, label: employment type} + - {column: J, row: 302, expected_value: Value, label: measure} + - {column: L, row: 303, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 304 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 304, expected_value: K02000001, label: geography} + - {column: D, row: 304, expected_value: Males, label: sex} + - {column: E, row: 304, expected_value: Employee, label: employment type} + - {column: J, row: 304, expected_value: Value, label: measure} + - {column: L, row: 305, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 306 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 306, expected_value: K02000001, label: geography} + - {column: D, row: 306, expected_value: Males, label: sex} + - {column: E, row: 306, expected_value: Employee, label: employment type} + - {column: J, row: 306, expected_value: Value, label: measure} + - {column: L, row: 307, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 308 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 308, expected_value: K02000001, label: geography} + - {column: D, row: 308, expected_value: Males, label: sex} + - {column: E, row: 308, expected_value: Employee, label: employment type} + - {column: J, row: 308, expected_value: Value, label: measure} + - {column: L, row: 309, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 310 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 310, expected_value: K02000001, label: geography} + - {column: D, row: 310, expected_value: Males, label: sex} + - {column: E, row: 310, expected_value: Employee, label: employment type} + - {column: J, row: 310, expected_value: Value, label: measure} + - {column: L, row: 311, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 312 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 312, expected_value: K02000001, label: geography} + - {column: D, row: 312, expected_value: Males, label: sex} + - {column: E, row: 312, expected_value: Employee, label: employment type} + - {column: J, row: 312, expected_value: Value, label: measure} + - {column: L, row: 313, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 314 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 314, expected_value: K02000001, label: geography} + - {column: D, row: 314, expected_value: Males, label: sex} + - {column: E, row: 314, expected_value: Employee, label: employment type} + - {column: J, row: 314, expected_value: Value, label: measure} + - {column: L, row: 315, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 316 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 316, expected_value: K02000001, label: geography} + - {column: D, row: 316, expected_value: Males, label: sex} + - {column: E, row: 316, expected_value: Employee, label: employment type} + - {column: J, row: 316, expected_value: Value, label: measure} + - {column: L, row: 317, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 318 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 318, expected_value: K02000001, label: geography} + - {column: D, row: 318, expected_value: Males, label: sex} + - {column: E, row: 318, expected_value: Employee, label: employment type} + - {column: J, row: 318, expected_value: Value, label: measure} + - {column: L, row: 319, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 320 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 320, expected_value: K02000001, label: geography} + - {column: D, row: 320, expected_value: Males, label: sex} + - {column: E, row: 320, expected_value: Employee, label: employment type} + - {column: J, row: 320, expected_value: Value, label: measure} + - {column: L, row: 321, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 322 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 322, expected_value: K02000001, label: geography} + - {column: D, row: 322, expected_value: Males, label: sex} + - {column: E, row: 322, expected_value: Employee, label: employment type} + - {column: J, row: 322, expected_value: Value, label: measure} + - {column: L, row: 323, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 324 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 324, expected_value: K02000001, label: geography} + - {column: D, row: 324, expected_value: Males, label: sex} + - {column: E, row: 324, expected_value: Employee, label: employment type} + - {column: J, row: 324, expected_value: Value, label: measure} + - {column: L, row: 325, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 326 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 326, expected_value: K02000001, label: geography} + - {column: D, row: 326, expected_value: Males, label: sex} + - {column: E, row: 326, expected_value: Employee, label: employment type} + - {column: J, row: 326, expected_value: Value, label: measure} + - {column: L, row: 327, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 328 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 328, expected_value: K02000001, label: geography} + - {column: D, row: 328, expected_value: Males, label: sex} + - {column: E, row: 328, expected_value: Employee, label: employment type} + - {column: J, row: 328, expected_value: Value, label: measure} + - {column: L, row: 329, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 330 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 330, expected_value: K02000001, label: geography} + - {column: D, row: 330, expected_value: Males, label: sex} + - {column: E, row: 330, expected_value: Employee, label: employment type} + - {column: J, row: 330, expected_value: Value, label: measure} + - {column: L, row: 331, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 332 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 332, expected_value: K02000001, label: geography} + - {column: D, row: 332, expected_value: Males, label: sex} + - {column: E, row: 332, expected_value: Employee, label: employment type} + - {column: J, row: 332, expected_value: Value, label: measure} + - {column: L, row: 333, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 334 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 334, expected_value: K02000001, label: geography} + - {column: D, row: 334, expected_value: Males, label: sex} + - {column: E, row: 334, expected_value: Employee, label: employment type} + - {column: J, row: 334, expected_value: Value, label: measure} + - {column: L, row: 335, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 336 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 336, expected_value: K02000001, label: geography} + - {column: D, row: 336, expected_value: Males, label: sex} + - {column: E, row: 336, expected_value: Employee, label: employment type} + - {column: J, row: 336, expected_value: Value, label: measure} + - {column: L, row: 337, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 338 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 338, expected_value: K02000001, label: geography} + - {column: D, row: 338, expected_value: Males, label: sex} + - {column: E, row: 338, expected_value: Employee, label: employment type} + - {column: J, row: 338, expected_value: Value, label: measure} + - {column: L, row: 339, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 340 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 340, expected_value: K02000001, label: geography} + - {column: D, row: 340, expected_value: Males, label: sex} + - {column: E, row: 340, expected_value: Employee, label: employment type} + - {column: J, row: 340, expected_value: Value, label: measure} + - {column: L, row: 341, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 342 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 342, expected_value: K02000001, label: geography} + - {column: D, row: 342, expected_value: Males, label: sex} + - {column: E, row: 342, expected_value: Employee, label: employment type} + - {column: J, row: 342, expected_value: Value, label: measure} + - {column: L, row: 343, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 344 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 344, expected_value: K02000001, label: geography} + - {column: D, row: 344, expected_value: Males, label: sex} + - {column: E, row: 344, expected_value: Employee, label: employment type} + - {column: J, row: 344, expected_value: Value, label: measure} + - {column: L, row: 345, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 346 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 346, expected_value: K02000001, label: geography} + - {column: D, row: 346, expected_value: Males, label: sex} + - {column: E, row: 346, expected_value: Employee, label: employment type} + - {column: J, row: 346, expected_value: Value, label: measure} + - {column: L, row: 347, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 348 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 348, expected_value: K02000001, label: geography} + - {column: D, row: 348, expected_value: Males, label: sex} + - {column: E, row: 348, expected_value: Employee, label: employment type} + - {column: J, row: 348, expected_value: Value, label: measure} + - {column: L, row: 349, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 350 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 350, expected_value: K02000001, label: geography} + - {column: D, row: 350, expected_value: Males, label: sex} + - {column: E, row: 350, expected_value: Employee, label: employment type} + - {column: J, row: 350, expected_value: Value, label: measure} + - {column: L, row: 351, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 352 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 352, expected_value: K02000001, label: geography} + - {column: D, row: 352, expected_value: Males, label: sex} + - {column: E, row: 352, expected_value: Employee, label: employment type} + - {column: J, row: 352, expected_value: Value, label: measure} + - {column: L, row: 353, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 354 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 354, expected_value: K02000001, label: geography} + - {column: D, row: 354, expected_value: Males, label: sex} + - {column: E, row: 354, expected_value: Employee, label: employment type} + - {column: J, row: 354, expected_value: Value, label: measure} + - {column: L, row: 355, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 356 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 356, expected_value: K02000001, label: geography} + - {column: D, row: 356, expected_value: Males, label: sex} + - {column: E, row: 356, expected_value: Employee, label: employment type} + - {column: J, row: 356, expected_value: Value, label: measure} + - {column: L, row: 357, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 358 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 358, expected_value: K02000001, label: geography} + - {column: D, row: 358, expected_value: Males, label: sex} + - {column: E, row: 358, expected_value: Employee, label: employment type} + - {column: J, row: 358, expected_value: Value, label: measure} + - {column: L, row: 359, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 360 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 360, expected_value: K02000001, label: geography} + - {column: D, row: 360, expected_value: Males, label: sex} + - {column: E, row: 360, expected_value: Employee, label: employment type} + - {column: J, row: 360, expected_value: Value, label: measure} + - {column: L, row: 361, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 291 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 291, expected_value: K02000001, label: geography} + - {column: D, row: 291, expected_value: Males, label: sex} + - {column: E, row: 291, expected_value: Employee, label: employment type} + - {column: J, row: 291, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 293 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 293, expected_value: K02000001, label: geography} + - {column: D, row: 293, expected_value: Males, label: sex} + - {column: E, row: 293, expected_value: Employee, label: employment type} + - {column: J, row: 293, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 295 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 295, expected_value: K02000001, label: geography} + - {column: D, row: 295, expected_value: Males, label: sex} + - {column: E, row: 295, expected_value: Employee, label: employment type} + - {column: J, row: 295, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 297 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 297, expected_value: K02000001, label: geography} + - {column: D, row: 297, expected_value: Males, label: sex} + - {column: E, row: 297, expected_value: Employee, label: employment type} + - {column: J, row: 297, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 299 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 299, expected_value: K02000001, label: geography} + - {column: D, row: 299, expected_value: Males, label: sex} + - {column: E, row: 299, expected_value: Employee, label: employment type} + - {column: J, row: 299, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 301 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 301, expected_value: K02000001, label: geography} + - {column: D, row: 301, expected_value: Males, label: sex} + - {column: E, row: 301, expected_value: Employee, label: employment type} + - {column: J, row: 301, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 303 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 303, expected_value: K02000001, label: geography} + - {column: D, row: 303, expected_value: Males, label: sex} + - {column: E, row: 303, expected_value: Employee, label: employment type} + - {column: J, row: 303, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 305 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 305, expected_value: K02000001, label: geography} + - {column: D, row: 305, expected_value: Males, label: sex} + - {column: E, row: 305, expected_value: Employee, label: employment type} + - {column: J, row: 305, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 307 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 307, expected_value: K02000001, label: geography} + - {column: D, row: 307, expected_value: Males, label: sex} + - {column: E, row: 307, expected_value: Employee, label: employment type} + - {column: J, row: 307, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 309 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 309, expected_value: K02000001, label: geography} + - {column: D, row: 309, expected_value: Males, label: sex} + - {column: E, row: 309, expected_value: Employee, label: employment type} + - {column: J, row: 309, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 311 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 311, expected_value: K02000001, label: geography} + - {column: D, row: 311, expected_value: Males, label: sex} + - {column: E, row: 311, expected_value: Employee, label: employment type} + - {column: J, row: 311, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 313 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 313, expected_value: K02000001, label: geography} + - {column: D, row: 313, expected_value: Males, label: sex} + - {column: E, row: 313, expected_value: Employee, label: employment type} + - {column: J, row: 313, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 315 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 315, expected_value: K02000001, label: geography} + - {column: D, row: 315, expected_value: Males, label: sex} + - {column: E, row: 315, expected_value: Employee, label: employment type} + - {column: J, row: 315, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 317 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 317, expected_value: K02000001, label: geography} + - {column: D, row: 317, expected_value: Males, label: sex} + - {column: E, row: 317, expected_value: Employee, label: employment type} + - {column: J, row: 317, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 319 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 319, expected_value: K02000001, label: geography} + - {column: D, row: 319, expected_value: Males, label: sex} + - {column: E, row: 319, expected_value: Employee, label: employment type} + - {column: J, row: 319, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 321 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 321, expected_value: K02000001, label: geography} + - {column: D, row: 321, expected_value: Males, label: sex} + - {column: E, row: 321, expected_value: Employee, label: employment type} + - {column: J, row: 321, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 323 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 323, expected_value: K02000001, label: geography} + - {column: D, row: 323, expected_value: Males, label: sex} + - {column: E, row: 323, expected_value: Employee, label: employment type} + - {column: J, row: 323, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 325 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 325, expected_value: K02000001, label: geography} + - {column: D, row: 325, expected_value: Males, label: sex} + - {column: E, row: 325, expected_value: Employee, label: employment type} + - {column: J, row: 325, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 327 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 327, expected_value: K02000001, label: geography} + - {column: D, row: 327, expected_value: Males, label: sex} + - {column: E, row: 327, expected_value: Employee, label: employment type} + - {column: J, row: 327, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 329 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 329, expected_value: K02000001, label: geography} + - {column: D, row: 329, expected_value: Males, label: sex} + - {column: E, row: 329, expected_value: Employee, label: employment type} + - {column: J, row: 329, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 331 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 331, expected_value: K02000001, label: geography} + - {column: D, row: 331, expected_value: Males, label: sex} + - {column: E, row: 331, expected_value: Employee, label: employment type} + - {column: J, row: 331, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 333 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 333, expected_value: K02000001, label: geography} + - {column: D, row: 333, expected_value: Males, label: sex} + - {column: E, row: 333, expected_value: Employee, label: employment type} + - {column: J, row: 333, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 335 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 335, expected_value: K02000001, label: geography} + - {column: D, row: 335, expected_value: Males, label: sex} + - {column: E, row: 335, expected_value: Employee, label: employment type} + - {column: J, row: 335, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 337 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 337, expected_value: K02000001, label: geography} + - {column: D, row: 337, expected_value: Males, label: sex} + - {column: E, row: 337, expected_value: Employee, label: employment type} + - {column: J, row: 337, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 339 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 339, expected_value: K02000001, label: geography} + - {column: D, row: 339, expected_value: Males, label: sex} + - {column: E, row: 339, expected_value: Employee, label: employment type} + - {column: J, row: 339, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 341 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 341, expected_value: K02000001, label: geography} + - {column: D, row: 341, expected_value: Males, label: sex} + - {column: E, row: 341, expected_value: Employee, label: employment type} + - {column: J, row: 341, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 343 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 343, expected_value: K02000001, label: geography} + - {column: D, row: 343, expected_value: Males, label: sex} + - {column: E, row: 343, expected_value: Employee, label: employment type} + - {column: J, row: 343, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 345 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 345, expected_value: K02000001, label: geography} + - {column: D, row: 345, expected_value: Males, label: sex} + - {column: E, row: 345, expected_value: Employee, label: employment type} + - {column: J, row: 345, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 347 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 347, expected_value: K02000001, label: geography} + - {column: D, row: 347, expected_value: Males, label: sex} + - {column: E, row: 347, expected_value: Employee, label: employment type} + - {column: J, row: 347, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 349 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 349, expected_value: K02000001, label: geography} + - {column: D, row: 349, expected_value: Males, label: sex} + - {column: E, row: 349, expected_value: Employee, label: employment type} + - {column: J, row: 349, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 351 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 351, expected_value: K02000001, label: geography} + - {column: D, row: 351, expected_value: Males, label: sex} + - {column: E, row: 351, expected_value: Employee, label: employment type} + - {column: J, row: 351, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 353 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 353, expected_value: K02000001, label: geography} + - {column: D, row: 353, expected_value: Males, label: sex} + - {column: E, row: 353, expected_value: Employee, label: employment type} + - {column: J, row: 353, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 355 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 355, expected_value: K02000001, label: geography} + - {column: D, row: 355, expected_value: Males, label: sex} + - {column: E, row: 355, expected_value: Employee, label: employment type} + - {column: J, row: 355, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 357 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 357, expected_value: K02000001, label: geography} + - {column: D, row: 357, expected_value: Males, label: sex} + - {column: E, row: 357, expected_value: Employee, label: employment type} + - {column: J, row: 357, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 359 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 359, expected_value: K02000001, label: geography} + - {column: D, row: 359, expected_value: Males, label: sex} + - {column: E, row: 359, expected_value: Employee, label: employment type} + - {column: J, row: 359, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 361 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 361, expected_value: K02000001, label: geography} + - {column: D, row: 361, expected_value: Males, label: sex} + - {column: E, row: 361, expected_value: Employee, label: employment type} + - {column: J, row: 361, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 506 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 506, expected_value: K02000001, label: geography} + - {column: D, row: 506, expected_value: Males, label: sex} + - {column: E, row: 506, expected_value: Self-employed, label: employment type} + - {column: J, row: 506, expected_value: Value, label: measure} + - {column: L, row: 507, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 508 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 508, expected_value: K02000001, label: geography} + - {column: D, row: 508, expected_value: Males, label: sex} + - {column: E, row: 508, expected_value: Self-employed, label: employment type} + - {column: J, row: 508, expected_value: Value, label: measure} + - {column: L, row: 509, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 510 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 510, expected_value: K02000001, label: geography} + - {column: D, row: 510, expected_value: Males, label: sex} + - {column: E, row: 510, expected_value: Self-employed, label: employment type} + - {column: J, row: 510, expected_value: Value, label: measure} + - {column: L, row: 511, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 512 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 512, expected_value: K02000001, label: geography} + - {column: D, row: 512, expected_value: Males, label: sex} + - {column: E, row: 512, expected_value: Self-employed, label: employment type} + - {column: J, row: 512, expected_value: Value, label: measure} + - {column: L, row: 513, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 514 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 514, expected_value: K02000001, label: geography} + - {column: D, row: 514, expected_value: Males, label: sex} + - {column: E, row: 514, expected_value: Self-employed, label: employment type} + - {column: J, row: 514, expected_value: Value, label: measure} + - {column: L, row: 515, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 516 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 516, expected_value: K02000001, label: geography} + - {column: D, row: 516, expected_value: Males, label: sex} + - {column: E, row: 516, expected_value: Self-employed, label: employment type} + - {column: J, row: 516, expected_value: Value, label: measure} + - {column: L, row: 517, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 518 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 518, expected_value: K02000001, label: geography} + - {column: D, row: 518, expected_value: Males, label: sex} + - {column: E, row: 518, expected_value: Self-employed, label: employment type} + - {column: J, row: 518, expected_value: Value, label: measure} + - {column: L, row: 519, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 520 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 520, expected_value: K02000001, label: geography} + - {column: D, row: 520, expected_value: Males, label: sex} + - {column: E, row: 520, expected_value: Self-employed, label: employment type} + - {column: J, row: 520, expected_value: Value, label: measure} + - {column: L, row: 521, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 522 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 522, expected_value: K02000001, label: geography} + - {column: D, row: 522, expected_value: Males, label: sex} + - {column: E, row: 522, expected_value: Self-employed, label: employment type} + - {column: J, row: 522, expected_value: Value, label: measure} + - {column: L, row: 523, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 524 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 524, expected_value: K02000001, label: geography} + - {column: D, row: 524, expected_value: Males, label: sex} + - {column: E, row: 524, expected_value: Self-employed, label: employment type} + - {column: J, row: 524, expected_value: Value, label: measure} + - {column: L, row: 525, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 526 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 526, expected_value: K02000001, label: geography} + - {column: D, row: 526, expected_value: Males, label: sex} + - {column: E, row: 526, expected_value: Self-employed, label: employment type} + - {column: J, row: 526, expected_value: Value, label: measure} + - {column: L, row: 527, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 528 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 528, expected_value: K02000001, label: geography} + - {column: D, row: 528, expected_value: Males, label: sex} + - {column: E, row: 528, expected_value: Self-employed, label: employment type} + - {column: J, row: 528, expected_value: Value, label: measure} + - {column: L, row: 529, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 530 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 530, expected_value: K02000001, label: geography} + - {column: D, row: 530, expected_value: Males, label: sex} + - {column: E, row: 530, expected_value: Self-employed, label: employment type} + - {column: J, row: 530, expected_value: Value, label: measure} + - {column: L, row: 531, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 532 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 532, expected_value: K02000001, label: geography} + - {column: D, row: 532, expected_value: Males, label: sex} + - {column: E, row: 532, expected_value: Self-employed, label: employment type} + - {column: J, row: 532, expected_value: Value, label: measure} + - {column: L, row: 533, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 534 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 534, expected_value: K02000001, label: geography} + - {column: D, row: 534, expected_value: Males, label: sex} + - {column: E, row: 534, expected_value: Self-employed, label: employment type} + - {column: J, row: 534, expected_value: Value, label: measure} + - {column: L, row: 535, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 536 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 536, expected_value: K02000001, label: geography} + - {column: D, row: 536, expected_value: Males, label: sex} + - {column: E, row: 536, expected_value: Self-employed, label: employment type} + - {column: J, row: 536, expected_value: Value, label: measure} + - {column: L, row: 537, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 538 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 538, expected_value: K02000001, label: geography} + - {column: D, row: 538, expected_value: Males, label: sex} + - {column: E, row: 538, expected_value: Self-employed, label: employment type} + - {column: J, row: 538, expected_value: Value, label: measure} + - {column: L, row: 539, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 542 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 542, expected_value: K02000001, label: geography} + - {column: D, row: 542, expected_value: Males, label: sex} + - {column: E, row: 542, expected_value: Self-employed, label: employment type} + - {column: J, row: 542, expected_value: Value, label: measure} + - {column: L, row: 543, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 544 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 544, expected_value: K02000001, label: geography} + - {column: D, row: 544, expected_value: Males, label: sex} + - {column: E, row: 544, expected_value: Self-employed, label: employment type} + - {column: J, row: 544, expected_value: Value, label: measure} + - {column: L, row: 545, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 546 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 546, expected_value: K02000001, label: geography} + - {column: D, row: 546, expected_value: Males, label: sex} + - {column: E, row: 546, expected_value: Self-employed, label: employment type} + - {column: J, row: 546, expected_value: Value, label: measure} + - {column: L, row: 547, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 548 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 548, expected_value: K02000001, label: geography} + - {column: D, row: 548, expected_value: Males, label: sex} + - {column: E, row: 548, expected_value: Self-employed, label: employment type} + - {column: J, row: 548, expected_value: Value, label: measure} + - {column: L, row: 549, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 550 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 550, expected_value: K02000001, label: geography} + - {column: D, row: 550, expected_value: Males, label: sex} + - {column: E, row: 550, expected_value: Self-employed, label: employment type} + - {column: J, row: 550, expected_value: Value, label: measure} + - {column: L, row: 551, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 552 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 552, expected_value: K02000001, label: geography} + - {column: D, row: 552, expected_value: Males, label: sex} + - {column: E, row: 552, expected_value: Self-employed, label: employment type} + - {column: J, row: 552, expected_value: Value, label: measure} + - {column: L, row: 553, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 554 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 554, expected_value: K02000001, label: geography} + - {column: D, row: 554, expected_value: Males, label: sex} + - {column: E, row: 554, expected_value: Self-employed, label: employment type} + - {column: J, row: 554, expected_value: Value, label: measure} + - {column: L, row: 555, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 556 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 556, expected_value: K02000001, label: geography} + - {column: D, row: 556, expected_value: Males, label: sex} + - {column: E, row: 556, expected_value: Self-employed, label: employment type} + - {column: J, row: 556, expected_value: Value, label: measure} + - {column: L, row: 557, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 560 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 560, expected_value: K02000001, label: geography} + - {column: D, row: 560, expected_value: Males, label: sex} + - {column: E, row: 560, expected_value: Self-employed, label: employment type} + - {column: J, row: 560, expected_value: Value, label: measure} + - {column: L, row: 561, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 562 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 562, expected_value: K02000001, label: geography} + - {column: D, row: 562, expected_value: Males, label: sex} + - {column: E, row: 562, expected_value: Self-employed, label: employment type} + - {column: J, row: 562, expected_value: Value, label: measure} + - {column: L, row: 563, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 564 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 564, expected_value: K02000001, label: geography} + - {column: D, row: 564, expected_value: Males, label: sex} + - {column: E, row: 564, expected_value: Self-employed, label: employment type} + - {column: J, row: 564, expected_value: Value, label: measure} + - {column: L, row: 565, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 566 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 566, expected_value: K02000001, label: geography} + - {column: D, row: 566, expected_value: Males, label: sex} + - {column: E, row: 566, expected_value: Self-employed, label: employment type} + - {column: J, row: 566, expected_value: Value, label: measure} + - {column: L, row: 567, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 568 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 568, expected_value: K02000001, label: geography} + - {column: D, row: 568, expected_value: Males, label: sex} + - {column: E, row: 568, expected_value: Self-employed, label: employment type} + - {column: J, row: 568, expected_value: Value, label: measure} + - {column: L, row: 569, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 570 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 570, expected_value: K02000001, label: geography} + - {column: D, row: 570, expected_value: Males, label: sex} + - {column: E, row: 570, expected_value: Self-employed, label: employment type} + - {column: J, row: 570, expected_value: Value, label: measure} + - {column: L, row: 571, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 572 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 572, expected_value: K02000001, label: geography} + - {column: D, row: 572, expected_value: Males, label: sex} + - {column: E, row: 572, expected_value: Self-employed, label: employment type} + - {column: J, row: 572, expected_value: Value, label: measure} + - {column: L, row: 573, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 574 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 574, expected_value: K02000001, label: geography} + - {column: D, row: 574, expected_value: Males, label: sex} + - {column: E, row: 574, expected_value: Self-employed, label: employment type} + - {column: J, row: 574, expected_value: Value, label: measure} + - {column: L, row: 575, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 576 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 576, expected_value: K02000001, label: geography} + - {column: D, row: 576, expected_value: Males, label: sex} + - {column: E, row: 576, expected_value: Self-employed, label: employment type} + - {column: J, row: 576, expected_value: Value, label: measure} + - {column: L, row: 577, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 507 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 507, expected_value: K02000001, label: geography} + - {column: D, row: 507, expected_value: Males, label: sex} + - {column: E, row: 507, expected_value: Self-employed, label: employment type} + - {column: J, row: 507, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 509 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 509, expected_value: K02000001, label: geography} + - {column: D, row: 509, expected_value: Males, label: sex} + - {column: E, row: 509, expected_value: Self-employed, label: employment type} + - {column: J, row: 509, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 511 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 511, expected_value: K02000001, label: geography} + - {column: D, row: 511, expected_value: Males, label: sex} + - {column: E, row: 511, expected_value: Self-employed, label: employment type} + - {column: J, row: 511, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 513 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 513, expected_value: K02000001, label: geography} + - {column: D, row: 513, expected_value: Males, label: sex} + - {column: E, row: 513, expected_value: Self-employed, label: employment type} + - {column: J, row: 513, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 515 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 515, expected_value: K02000001, label: geography} + - {column: D, row: 515, expected_value: Males, label: sex} + - {column: E, row: 515, expected_value: Self-employed, label: employment type} + - {column: J, row: 515, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 517 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 517, expected_value: K02000001, label: geography} + - {column: D, row: 517, expected_value: Males, label: sex} + - {column: E, row: 517, expected_value: Self-employed, label: employment type} + - {column: J, row: 517, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 519 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 519, expected_value: K02000001, label: geography} + - {column: D, row: 519, expected_value: Males, label: sex} + - {column: E, row: 519, expected_value: Self-employed, label: employment type} + - {column: J, row: 519, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 521 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 521, expected_value: K02000001, label: geography} + - {column: D, row: 521, expected_value: Males, label: sex} + - {column: E, row: 521, expected_value: Self-employed, label: employment type} + - {column: J, row: 521, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 523 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 523, expected_value: K02000001, label: geography} + - {column: D, row: 523, expected_value: Males, label: sex} + - {column: E, row: 523, expected_value: Self-employed, label: employment type} + - {column: J, row: 523, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 525 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 525, expected_value: K02000001, label: geography} + - {column: D, row: 525, expected_value: Males, label: sex} + - {column: E, row: 525, expected_value: Self-employed, label: employment type} + - {column: J, row: 525, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 527 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 527, expected_value: K02000001, label: geography} + - {column: D, row: 527, expected_value: Males, label: sex} + - {column: E, row: 527, expected_value: Self-employed, label: employment type} + - {column: J, row: 527, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 529 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 529, expected_value: K02000001, label: geography} + - {column: D, row: 529, expected_value: Males, label: sex} + - {column: E, row: 529, expected_value: Self-employed, label: employment type} + - {column: J, row: 529, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 531 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 531, expected_value: K02000001, label: geography} + - {column: D, row: 531, expected_value: Males, label: sex} + - {column: E, row: 531, expected_value: Self-employed, label: employment type} + - {column: J, row: 531, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 533 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 533, expected_value: K02000001, label: geography} + - {column: D, row: 533, expected_value: Males, label: sex} + - {column: E, row: 533, expected_value: Self-employed, label: employment type} + - {column: J, row: 533, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 535 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 535, expected_value: K02000001, label: geography} + - {column: D, row: 535, expected_value: Males, label: sex} + - {column: E, row: 535, expected_value: Self-employed, label: employment type} + - {column: J, row: 535, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 537 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 537, expected_value: K02000001, label: geography} + - {column: D, row: 537, expected_value: Males, label: sex} + - {column: E, row: 537, expected_value: Self-employed, label: employment type} + - {column: J, row: 537, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 539 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 539, expected_value: K02000001, label: geography} + - {column: D, row: 539, expected_value: Males, label: sex} + - {column: E, row: 539, expected_value: Self-employed, label: employment type} + - {column: J, row: 539, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 543 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 543, expected_value: K02000001, label: geography} + - {column: D, row: 543, expected_value: Males, label: sex} + - {column: E, row: 543, expected_value: Self-employed, label: employment type} + - {column: J, row: 543, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 545 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 545, expected_value: K02000001, label: geography} + - {column: D, row: 545, expected_value: Males, label: sex} + - {column: E, row: 545, expected_value: Self-employed, label: employment type} + - {column: J, row: 545, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 547 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 547, expected_value: K02000001, label: geography} + - {column: D, row: 547, expected_value: Males, label: sex} + - {column: E, row: 547, expected_value: Self-employed, label: employment type} + - {column: J, row: 547, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 549 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 549, expected_value: K02000001, label: geography} + - {column: D, row: 549, expected_value: Males, label: sex} + - {column: E, row: 549, expected_value: Self-employed, label: employment type} + - {column: J, row: 549, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 551 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 551, expected_value: K02000001, label: geography} + - {column: D, row: 551, expected_value: Males, label: sex} + - {column: E, row: 551, expected_value: Self-employed, label: employment type} + - {column: J, row: 551, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 553 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 553, expected_value: K02000001, label: geography} + - {column: D, row: 553, expected_value: Males, label: sex} + - {column: E, row: 553, expected_value: Self-employed, label: employment type} + - {column: J, row: 553, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 555 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 555, expected_value: K02000001, label: geography} + - {column: D, row: 555, expected_value: Males, label: sex} + - {column: E, row: 555, expected_value: Self-employed, label: employment type} + - {column: J, row: 555, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 557 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 557, expected_value: K02000001, label: geography} + - {column: D, row: 557, expected_value: Males, label: sex} + - {column: E, row: 557, expected_value: Self-employed, label: employment type} + - {column: J, row: 557, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 561 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 561, expected_value: K02000001, label: geography} + - {column: D, row: 561, expected_value: Males, label: sex} + - {column: E, row: 561, expected_value: Self-employed, label: employment type} + - {column: J, row: 561, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 563 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 563, expected_value: K02000001, label: geography} + - {column: D, row: 563, expected_value: Males, label: sex} + - {column: E, row: 563, expected_value: Self-employed, label: employment type} + - {column: J, row: 563, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 567 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 567, expected_value: K02000001, label: geography} + - {column: D, row: 567, expected_value: Males, label: sex} + - {column: E, row: 567, expected_value: Self-employed, label: employment type} + - {column: J, row: 567, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 569 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 569, expected_value: K02000001, label: geography} + - {column: D, row: 569, expected_value: Males, label: sex} + - {column: E, row: 569, expected_value: Self-employed, label: employment type} + - {column: J, row: 569, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 571 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 571, expected_value: K02000001, label: geography} + - {column: D, row: 571, expected_value: Males, label: sex} + - {column: E, row: 571, expected_value: Self-employed, label: employment type} + - {column: J, row: 571, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 573 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 573, expected_value: K02000001, label: geography} + - {column: D, row: 573, expected_value: Males, label: sex} + - {column: E, row: 573, expected_value: Self-employed, label: employment type} + - {column: J, row: 573, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 575 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 575, expected_value: K02000001, label: geography} + - {column: D, row: 575, expected_value: Males, label: sex} + - {column: E, row: 575, expected_value: Self-employed, label: employment type} + - {column: J, row: 575, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 577 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 577, expected_value: K02000001, label: geography} + - {column: D, row: 577, expected_value: Males, label: sex} + - {column: E, row: 577, expected_value: Self-employed, label: employment type} + - {column: J, row: 577, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 146 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 146, expected_value: K02000001, label: geography} + - {column: D, row: 146, expected_value: Females, label: sex} + - {column: E, row: 146, expected_value: Total, label: employment type} + - {column: J, row: 146, expected_value: Value, label: measure} + - {column: L, row: 147, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 148 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 148, expected_value: K02000001, label: geography} + - {column: D, row: 148, expected_value: Females, label: sex} + - {column: E, row: 148, expected_value: Total, label: employment type} + - {column: J, row: 148, expected_value: Value, label: measure} + - {column: L, row: 149, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 150 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 150, expected_value: K02000001, label: geography} + - {column: D, row: 150, expected_value: Females, label: sex} + - {column: E, row: 150, expected_value: Total, label: employment type} + - {column: J, row: 150, expected_value: Value, label: measure} + - {column: L, row: 151, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 152 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 152, expected_value: K02000001, label: geography} + - {column: D, row: 152, expected_value: Females, label: sex} + - {column: E, row: 152, expected_value: Total, label: employment type} + - {column: J, row: 152, expected_value: Value, label: measure} + - {column: L, row: 153, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 154 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 154, expected_value: K02000001, label: geography} + - {column: D, row: 154, expected_value: Females, label: sex} + - {column: E, row: 154, expected_value: Total, label: employment type} + - {column: J, row: 154, expected_value: Value, label: measure} + - {column: L, row: 155, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 156 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 156, expected_value: K02000001, label: geography} + - {column: D, row: 156, expected_value: Females, label: sex} + - {column: E, row: 156, expected_value: Total, label: employment type} + - {column: J, row: 156, expected_value: Value, label: measure} + - {column: L, row: 157, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 158 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 158, expected_value: K02000001, label: geography} + - {column: D, row: 158, expected_value: Females, label: sex} + - {column: E, row: 158, expected_value: Total, label: employment type} + - {column: J, row: 158, expected_value: Value, label: measure} + - {column: L, row: 159, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 160 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 160, expected_value: K02000001, label: geography} + - {column: D, row: 160, expected_value: Females, label: sex} + - {column: E, row: 160, expected_value: Total, label: employment type} + - {column: J, row: 160, expected_value: Value, label: measure} + - {column: L, row: 161, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 162 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 162, expected_value: K02000001, label: geography} + - {column: D, row: 162, expected_value: Females, label: sex} + - {column: E, row: 162, expected_value: Total, label: employment type} + - {column: J, row: 162, expected_value: Value, label: measure} + - {column: L, row: 163, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 164 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 164, expected_value: K02000001, label: geography} + - {column: D, row: 164, expected_value: Females, label: sex} + - {column: E, row: 164, expected_value: Total, label: employment type} + - {column: J, row: 164, expected_value: Value, label: measure} + - {column: L, row: 165, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 166 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 166, expected_value: K02000001, label: geography} + - {column: D, row: 166, expected_value: Females, label: sex} + - {column: E, row: 166, expected_value: Total, label: employment type} + - {column: J, row: 166, expected_value: Value, label: measure} + - {column: L, row: 167, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 168 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 168, expected_value: K02000001, label: geography} + - {column: D, row: 168, expected_value: Females, label: sex} + - {column: E, row: 168, expected_value: Total, label: employment type} + - {column: J, row: 168, expected_value: Value, label: measure} + - {column: L, row: 169, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 170 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 170, expected_value: K02000001, label: geography} + - {column: D, row: 170, expected_value: Females, label: sex} + - {column: E, row: 170, expected_value: Total, label: employment type} + - {column: J, row: 170, expected_value: Value, label: measure} + - {column: L, row: 171, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 172 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 172, expected_value: K02000001, label: geography} + - {column: D, row: 172, expected_value: Females, label: sex} + - {column: E, row: 172, expected_value: Total, label: employment type} + - {column: J, row: 172, expected_value: Value, label: measure} + - {column: L, row: 173, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 174 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 174, expected_value: K02000001, label: geography} + - {column: D, row: 174, expected_value: Females, label: sex} + - {column: E, row: 174, expected_value: Total, label: employment type} + - {column: J, row: 174, expected_value: Value, label: measure} + - {column: L, row: 175, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 176 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 176, expected_value: K02000001, label: geography} + - {column: D, row: 176, expected_value: Females, label: sex} + - {column: E, row: 176, expected_value: Total, label: employment type} + - {column: J, row: 176, expected_value: Value, label: measure} + - {column: L, row: 177, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 178 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 178, expected_value: K02000001, label: geography} + - {column: D, row: 178, expected_value: Females, label: sex} + - {column: E, row: 178, expected_value: Total, label: employment type} + - {column: J, row: 178, expected_value: Value, label: measure} + - {column: L, row: 179, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 180 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 180, expected_value: K02000001, label: geography} + - {column: D, row: 180, expected_value: Females, label: sex} + - {column: E, row: 180, expected_value: Total, label: employment type} + - {column: J, row: 180, expected_value: Value, label: measure} + - {column: L, row: 181, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 182 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 182, expected_value: K02000001, label: geography} + - {column: D, row: 182, expected_value: Females, label: sex} + - {column: E, row: 182, expected_value: Total, label: employment type} + - {column: J, row: 182, expected_value: Value, label: measure} + - {column: L, row: 183, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 184 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 184, expected_value: K02000001, label: geography} + - {column: D, row: 184, expected_value: Females, label: sex} + - {column: E, row: 184, expected_value: Total, label: employment type} + - {column: J, row: 184, expected_value: Value, label: measure} + - {column: L, row: 185, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 186 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 186, expected_value: K02000001, label: geography} + - {column: D, row: 186, expected_value: Females, label: sex} + - {column: E, row: 186, expected_value: Total, label: employment type} + - {column: J, row: 186, expected_value: Value, label: measure} + - {column: L, row: 187, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 188 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 188, expected_value: K02000001, label: geography} + - {column: D, row: 188, expected_value: Females, label: sex} + - {column: E, row: 188, expected_value: Total, label: employment type} + - {column: J, row: 188, expected_value: Value, label: measure} + - {column: L, row: 189, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 190 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 190, expected_value: K02000001, label: geography} + - {column: D, row: 190, expected_value: Females, label: sex} + - {column: E, row: 190, expected_value: Total, label: employment type} + - {column: J, row: 190, expected_value: Value, label: measure} + - {column: L, row: 191, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 192 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 192, expected_value: K02000001, label: geography} + - {column: D, row: 192, expected_value: Females, label: sex} + - {column: E, row: 192, expected_value: Total, label: employment type} + - {column: J, row: 192, expected_value: Value, label: measure} + - {column: L, row: 193, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 194 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 194, expected_value: K02000001, label: geography} + - {column: D, row: 194, expected_value: Females, label: sex} + - {column: E, row: 194, expected_value: Total, label: employment type} + - {column: J, row: 194, expected_value: Value, label: measure} + - {column: L, row: 195, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 196 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 196, expected_value: K02000001, label: geography} + - {column: D, row: 196, expected_value: Females, label: sex} + - {column: E, row: 196, expected_value: Total, label: employment type} + - {column: J, row: 196, expected_value: Value, label: measure} + - {column: L, row: 197, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 198 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 198, expected_value: K02000001, label: geography} + - {column: D, row: 198, expected_value: Females, label: sex} + - {column: E, row: 198, expected_value: Total, label: employment type} + - {column: J, row: 198, expected_value: Value, label: measure} + - {column: L, row: 199, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 200 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 200, expected_value: K02000001, label: geography} + - {column: D, row: 200, expected_value: Females, label: sex} + - {column: E, row: 200, expected_value: Total, label: employment type} + - {column: J, row: 200, expected_value: Value, label: measure} + - {column: L, row: 201, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 202 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 202, expected_value: K02000001, label: geography} + - {column: D, row: 202, expected_value: Females, label: sex} + - {column: E, row: 202, expected_value: Total, label: employment type} + - {column: J, row: 202, expected_value: Value, label: measure} + - {column: L, row: 203, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 204 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 204, expected_value: K02000001, label: geography} + - {column: D, row: 204, expected_value: Females, label: sex} + - {column: E, row: 204, expected_value: Total, label: employment type} + - {column: J, row: 204, expected_value: Value, label: measure} + - {column: L, row: 205, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 206 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 206, expected_value: K02000001, label: geography} + - {column: D, row: 206, expected_value: Females, label: sex} + - {column: E, row: 206, expected_value: Total, label: employment type} + - {column: J, row: 206, expected_value: Value, label: measure} + - {column: L, row: 207, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 208 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 208, expected_value: K02000001, label: geography} + - {column: D, row: 208, expected_value: Females, label: sex} + - {column: E, row: 208, expected_value: Total, label: employment type} + - {column: J, row: 208, expected_value: Value, label: measure} + - {column: L, row: 209, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 210 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 210, expected_value: K02000001, label: geography} + - {column: D, row: 210, expected_value: Females, label: sex} + - {column: E, row: 210, expected_value: Total, label: employment type} + - {column: J, row: 210, expected_value: Value, label: measure} + - {column: L, row: 211, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 212 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 212, expected_value: K02000001, label: geography} + - {column: D, row: 212, expected_value: Females, label: sex} + - {column: E, row: 212, expected_value: Total, label: employment type} + - {column: J, row: 212, expected_value: Value, label: measure} + - {column: L, row: 213, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 214 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 214, expected_value: K02000001, label: geography} + - {column: D, row: 214, expected_value: Females, label: sex} + - {column: E, row: 214, expected_value: Total, label: employment type} + - {column: J, row: 214, expected_value: Value, label: measure} + - {column: L, row: 215, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 216 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 216, expected_value: K02000001, label: geography} + - {column: D, row: 216, expected_value: Females, label: sex} + - {column: E, row: 216, expected_value: Total, label: employment type} + - {column: J, row: 216, expected_value: Value, label: measure} + - {column: L, row: 217, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 147 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 147, expected_value: K02000001, label: geography} + - {column: D, row: 147, expected_value: Females, label: sex} + - {column: E, row: 147, expected_value: Total, label: employment type} + - {column: J, row: 147, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 149 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 149, expected_value: K02000001, label: geography} + - {column: D, row: 149, expected_value: Females, label: sex} + - {column: E, row: 149, expected_value: Total, label: employment type} + - {column: J, row: 149, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 151 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 151, expected_value: K02000001, label: geography} + - {column: D, row: 151, expected_value: Females, label: sex} + - {column: E, row: 151, expected_value: Total, label: employment type} + - {column: J, row: 151, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 153 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 153, expected_value: K02000001, label: geography} + - {column: D, row: 153, expected_value: Females, label: sex} + - {column: E, row: 153, expected_value: Total, label: employment type} + - {column: J, row: 153, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 155 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 155, expected_value: K02000001, label: geography} + - {column: D, row: 155, expected_value: Females, label: sex} + - {column: E, row: 155, expected_value: Total, label: employment type} + - {column: J, row: 155, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 157 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 157, expected_value: K02000001, label: geography} + - {column: D, row: 157, expected_value: Females, label: sex} + - {column: E, row: 157, expected_value: Total, label: employment type} + - {column: J, row: 157, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 159 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 159, expected_value: K02000001, label: geography} + - {column: D, row: 159, expected_value: Females, label: sex} + - {column: E, row: 159, expected_value: Total, label: employment type} + - {column: J, row: 159, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 161 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 161, expected_value: K02000001, label: geography} + - {column: D, row: 161, expected_value: Females, label: sex} + - {column: E, row: 161, expected_value: Total, label: employment type} + - {column: J, row: 161, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 163 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 163, expected_value: K02000001, label: geography} + - {column: D, row: 163, expected_value: Females, label: sex} + - {column: E, row: 163, expected_value: Total, label: employment type} + - {column: J, row: 163, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 165 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 165, expected_value: K02000001, label: geography} + - {column: D, row: 165, expected_value: Females, label: sex} + - {column: E, row: 165, expected_value: Total, label: employment type} + - {column: J, row: 165, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 167 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 167, expected_value: K02000001, label: geography} + - {column: D, row: 167, expected_value: Females, label: sex} + - {column: E, row: 167, expected_value: Total, label: employment type} + - {column: J, row: 167, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 169 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 169, expected_value: K02000001, label: geography} + - {column: D, row: 169, expected_value: Females, label: sex} + - {column: E, row: 169, expected_value: Total, label: employment type} + - {column: J, row: 169, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 171 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 171, expected_value: K02000001, label: geography} + - {column: D, row: 171, expected_value: Females, label: sex} + - {column: E, row: 171, expected_value: Total, label: employment type} + - {column: J, row: 171, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 173 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 173, expected_value: K02000001, label: geography} + - {column: D, row: 173, expected_value: Females, label: sex} + - {column: E, row: 173, expected_value: Total, label: employment type} + - {column: J, row: 173, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 175 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 175, expected_value: K02000001, label: geography} + - {column: D, row: 175, expected_value: Females, label: sex} + - {column: E, row: 175, expected_value: Total, label: employment type} + - {column: J, row: 175, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 177 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 177, expected_value: K02000001, label: geography} + - {column: D, row: 177, expected_value: Females, label: sex} + - {column: E, row: 177, expected_value: Total, label: employment type} + - {column: J, row: 177, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 179 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 179, expected_value: K02000001, label: geography} + - {column: D, row: 179, expected_value: Females, label: sex} + - {column: E, row: 179, expected_value: Total, label: employment type} + - {column: J, row: 179, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 181 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 181, expected_value: K02000001, label: geography} + - {column: D, row: 181, expected_value: Females, label: sex} + - {column: E, row: 181, expected_value: Total, label: employment type} + - {column: J, row: 181, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 183 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 183, expected_value: K02000001, label: geography} + - {column: D, row: 183, expected_value: Females, label: sex} + - {column: E, row: 183, expected_value: Total, label: employment type} + - {column: J, row: 183, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 185 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 185, expected_value: K02000001, label: geography} + - {column: D, row: 185, expected_value: Females, label: sex} + - {column: E, row: 185, expected_value: Total, label: employment type} + - {column: J, row: 185, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 187 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 187, expected_value: K02000001, label: geography} + - {column: D, row: 187, expected_value: Females, label: sex} + - {column: E, row: 187, expected_value: Total, label: employment type} + - {column: J, row: 187, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 189 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 189, expected_value: K02000001, label: geography} + - {column: D, row: 189, expected_value: Females, label: sex} + - {column: E, row: 189, expected_value: Total, label: employment type} + - {column: J, row: 189, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 191 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 191, expected_value: K02000001, label: geography} + - {column: D, row: 191, expected_value: Females, label: sex} + - {column: E, row: 191, expected_value: Total, label: employment type} + - {column: J, row: 191, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 193 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 193, expected_value: K02000001, label: geography} + - {column: D, row: 193, expected_value: Females, label: sex} + - {column: E, row: 193, expected_value: Total, label: employment type} + - {column: J, row: 193, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 195 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 195, expected_value: K02000001, label: geography} + - {column: D, row: 195, expected_value: Females, label: sex} + - {column: E, row: 195, expected_value: Total, label: employment type} + - {column: J, row: 195, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 197 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 197, expected_value: K02000001, label: geography} + - {column: D, row: 197, expected_value: Females, label: sex} + - {column: E, row: 197, expected_value: Total, label: employment type} + - {column: J, row: 197, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 199 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 199, expected_value: K02000001, label: geography} + - {column: D, row: 199, expected_value: Females, label: sex} + - {column: E, row: 199, expected_value: Total, label: employment type} + - {column: J, row: 199, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 201 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 201, expected_value: K02000001, label: geography} + - {column: D, row: 201, expected_value: Females, label: sex} + - {column: E, row: 201, expected_value: Total, label: employment type} + - {column: J, row: 201, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 203 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 203, expected_value: K02000001, label: geography} + - {column: D, row: 203, expected_value: Females, label: sex} + - {column: E, row: 203, expected_value: Total, label: employment type} + - {column: J, row: 203, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 205 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 205, expected_value: K02000001, label: geography} + - {column: D, row: 205, expected_value: Females, label: sex} + - {column: E, row: 205, expected_value: Total, label: employment type} + - {column: J, row: 205, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 207 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 207, expected_value: K02000001, label: geography} + - {column: D, row: 207, expected_value: Females, label: sex} + - {column: E, row: 207, expected_value: Total, label: employment type} + - {column: J, row: 207, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 209 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 209, expected_value: K02000001, label: geography} + - {column: D, row: 209, expected_value: Females, label: sex} + - {column: E, row: 209, expected_value: Total, label: employment type} + - {column: J, row: 209, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 211 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 211, expected_value: K02000001, label: geography} + - {column: D, row: 211, expected_value: Females, label: sex} + - {column: E, row: 211, expected_value: Total, label: employment type} + - {column: J, row: 211, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 213 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 213, expected_value: K02000001, label: geography} + - {column: D, row: 213, expected_value: Females, label: sex} + - {column: E, row: 213, expected_value: Total, label: employment type} + - {column: J, row: 213, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 215 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 215, expected_value: K02000001, label: geography} + - {column: D, row: 215, expected_value: Females, label: sex} + - {column: E, row: 215, expected_value: Total, label: employment type} + - {column: J, row: 215, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 217 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 217, expected_value: K02000001, label: geography} + - {column: D, row: 217, expected_value: Females, label: sex} + - {column: E, row: 217, expected_value: Total, label: employment type} + - {column: J, row: 217, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 362 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 362, expected_value: K02000001, label: geography} + - {column: D, row: 362, expected_value: Females, label: sex} + - {column: E, row: 362, expected_value: Employee, label: employment type} + - {column: J, row: 362, expected_value: Value, label: measure} + - {column: L, row: 363, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 364 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 364, expected_value: K02000001, label: geography} + - {column: D, row: 364, expected_value: Females, label: sex} + - {column: E, row: 364, expected_value: Employee, label: employment type} + - {column: J, row: 364, expected_value: Value, label: measure} + - {column: L, row: 365, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 366 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 366, expected_value: K02000001, label: geography} + - {column: D, row: 366, expected_value: Females, label: sex} + - {column: E, row: 366, expected_value: Employee, label: employment type} + - {column: J, row: 366, expected_value: Value, label: measure} + - {column: L, row: 367, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 368 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 368, expected_value: K02000001, label: geography} + - {column: D, row: 368, expected_value: Females, label: sex} + - {column: E, row: 368, expected_value: Employee, label: employment type} + - {column: J, row: 368, expected_value: Value, label: measure} + - {column: L, row: 369, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 370 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 370, expected_value: K02000001, label: geography} + - {column: D, row: 370, expected_value: Females, label: sex} + - {column: E, row: 370, expected_value: Employee, label: employment type} + - {column: J, row: 370, expected_value: Value, label: measure} + - {column: L, row: 371, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 372 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 372, expected_value: K02000001, label: geography} + - {column: D, row: 372, expected_value: Females, label: sex} + - {column: E, row: 372, expected_value: Employee, label: employment type} + - {column: J, row: 372, expected_value: Value, label: measure} + - {column: L, row: 373, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 374 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 374, expected_value: K02000001, label: geography} + - {column: D, row: 374, expected_value: Females, label: sex} + - {column: E, row: 374, expected_value: Employee, label: employment type} + - {column: J, row: 374, expected_value: Value, label: measure} + - {column: L, row: 375, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 376 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 376, expected_value: K02000001, label: geography} + - {column: D, row: 376, expected_value: Females, label: sex} + - {column: E, row: 376, expected_value: Employee, label: employment type} + - {column: J, row: 376, expected_value: Value, label: measure} + - {column: L, row: 377, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 378 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 378, expected_value: K02000001, label: geography} + - {column: D, row: 378, expected_value: Females, label: sex} + - {column: E, row: 378, expected_value: Employee, label: employment type} + - {column: J, row: 378, expected_value: Value, label: measure} + - {column: L, row: 379, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 380 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 380, expected_value: K02000001, label: geography} + - {column: D, row: 380, expected_value: Females, label: sex} + - {column: E, row: 380, expected_value: Employee, label: employment type} + - {column: J, row: 380, expected_value: Value, label: measure} + - {column: L, row: 381, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 382 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 382, expected_value: K02000001, label: geography} + - {column: D, row: 382, expected_value: Females, label: sex} + - {column: E, row: 382, expected_value: Employee, label: employment type} + - {column: J, row: 382, expected_value: Value, label: measure} + - {column: L, row: 383, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 384 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 384, expected_value: K02000001, label: geography} + - {column: D, row: 384, expected_value: Females, label: sex} + - {column: E, row: 384, expected_value: Employee, label: employment type} + - {column: J, row: 384, expected_value: Value, label: measure} + - {column: L, row: 385, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 386 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 386, expected_value: K02000001, label: geography} + - {column: D, row: 386, expected_value: Females, label: sex} + - {column: E, row: 386, expected_value: Employee, label: employment type} + - {column: J, row: 386, expected_value: Value, label: measure} + - {column: L, row: 387, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 388 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 388, expected_value: K02000001, label: geography} + - {column: D, row: 388, expected_value: Females, label: sex} + - {column: E, row: 388, expected_value: Employee, label: employment type} + - {column: J, row: 388, expected_value: Value, label: measure} + - {column: L, row: 389, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 390 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 390, expected_value: K02000001, label: geography} + - {column: D, row: 390, expected_value: Females, label: sex} + - {column: E, row: 390, expected_value: Employee, label: employment type} + - {column: J, row: 390, expected_value: Value, label: measure} + - {column: L, row: 391, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 392 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 392, expected_value: K02000001, label: geography} + - {column: D, row: 392, expected_value: Females, label: sex} + - {column: E, row: 392, expected_value: Employee, label: employment type} + - {column: J, row: 392, expected_value: Value, label: measure} + - {column: L, row: 393, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 394 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 394, expected_value: K02000001, label: geography} + - {column: D, row: 394, expected_value: Females, label: sex} + - {column: E, row: 394, expected_value: Employee, label: employment type} + - {column: J, row: 394, expected_value: Value, label: measure} + - {column: L, row: 395, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 396 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 396, expected_value: K02000001, label: geography} + - {column: D, row: 396, expected_value: Females, label: sex} + - {column: E, row: 396, expected_value: Employee, label: employment type} + - {column: J, row: 396, expected_value: Value, label: measure} + - {column: L, row: 397, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 398 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 398, expected_value: K02000001, label: geography} + - {column: D, row: 398, expected_value: Females, label: sex} + - {column: E, row: 398, expected_value: Employee, label: employment type} + - {column: J, row: 398, expected_value: Value, label: measure} + - {column: L, row: 399, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 400 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 400, expected_value: K02000001, label: geography} + - {column: D, row: 400, expected_value: Females, label: sex} + - {column: E, row: 400, expected_value: Employee, label: employment type} + - {column: J, row: 400, expected_value: Value, label: measure} + - {column: L, row: 401, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 402 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 402, expected_value: K02000001, label: geography} + - {column: D, row: 402, expected_value: Females, label: sex} + - {column: E, row: 402, expected_value: Employee, label: employment type} + - {column: J, row: 402, expected_value: Value, label: measure} + - {column: L, row: 403, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 404 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 404, expected_value: K02000001, label: geography} + - {column: D, row: 404, expected_value: Females, label: sex} + - {column: E, row: 404, expected_value: Employee, label: employment type} + - {column: J, row: 404, expected_value: Value, label: measure} + - {column: L, row: 405, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 406 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 406, expected_value: K02000001, label: geography} + - {column: D, row: 406, expected_value: Females, label: sex} + - {column: E, row: 406, expected_value: Employee, label: employment type} + - {column: J, row: 406, expected_value: Value, label: measure} + - {column: L, row: 407, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 408 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 408, expected_value: K02000001, label: geography} + - {column: D, row: 408, expected_value: Females, label: sex} + - {column: E, row: 408, expected_value: Employee, label: employment type} + - {column: J, row: 408, expected_value: Value, label: measure} + - {column: L, row: 409, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 410 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 410, expected_value: K02000001, label: geography} + - {column: D, row: 410, expected_value: Females, label: sex} + - {column: E, row: 410, expected_value: Employee, label: employment type} + - {column: J, row: 410, expected_value: Value, label: measure} + - {column: L, row: 411, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 412 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 412, expected_value: K02000001, label: geography} + - {column: D, row: 412, expected_value: Females, label: sex} + - {column: E, row: 412, expected_value: Employee, label: employment type} + - {column: J, row: 412, expected_value: Value, label: measure} + - {column: L, row: 413, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 414 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 414, expected_value: K02000001, label: geography} + - {column: D, row: 414, expected_value: Females, label: sex} + - {column: E, row: 414, expected_value: Employee, label: employment type} + - {column: J, row: 414, expected_value: Value, label: measure} + - {column: L, row: 415, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 416 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 416, expected_value: K02000001, label: geography} + - {column: D, row: 416, expected_value: Females, label: sex} + - {column: E, row: 416, expected_value: Employee, label: employment type} + - {column: J, row: 416, expected_value: Value, label: measure} + - {column: L, row: 417, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 418 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 418, expected_value: K02000001, label: geography} + - {column: D, row: 418, expected_value: Females, label: sex} + - {column: E, row: 418, expected_value: Employee, label: employment type} + - {column: J, row: 418, expected_value: Value, label: measure} + - {column: L, row: 419, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 420 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 420, expected_value: K02000001, label: geography} + - {column: D, row: 420, expected_value: Females, label: sex} + - {column: E, row: 420, expected_value: Employee, label: employment type} + - {column: J, row: 420, expected_value: Value, label: measure} + - {column: L, row: 421, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 422 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 422, expected_value: K02000001, label: geography} + - {column: D, row: 422, expected_value: Females, label: sex} + - {column: E, row: 422, expected_value: Employee, label: employment type} + - {column: J, row: 422, expected_value: Value, label: measure} + - {column: L, row: 423, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 424 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 424, expected_value: K02000001, label: geography} + - {column: D, row: 424, expected_value: Females, label: sex} + - {column: E, row: 424, expected_value: Employee, label: employment type} + - {column: J, row: 424, expected_value: Value, label: measure} + - {column: L, row: 425, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 426 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 426, expected_value: K02000001, label: geography} + - {column: D, row: 426, expected_value: Females, label: sex} + - {column: E, row: 426, expected_value: Employee, label: employment type} + - {column: J, row: 426, expected_value: Value, label: measure} + - {column: L, row: 427, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 428 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 428, expected_value: K02000001, label: geography} + - {column: D, row: 428, expected_value: Females, label: sex} + - {column: E, row: 428, expected_value: Employee, label: employment type} + - {column: J, row: 428, expected_value: Value, label: measure} + - {column: L, row: 429, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 430 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 430, expected_value: K02000001, label: geography} + - {column: D, row: 430, expected_value: Females, label: sex} + - {column: E, row: 430, expected_value: Employee, label: employment type} + - {column: J, row: 430, expected_value: Value, label: measure} + - {column: L, row: 431, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 432 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 432, expected_value: K02000001, label: geography} + - {column: D, row: 432, expected_value: Females, label: sex} + - {column: E, row: 432, expected_value: Employee, label: employment type} + - {column: J, row: 432, expected_value: Value, label: measure} + - {column: L, row: 433, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 363 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 363, expected_value: K02000001, label: geography} + - {column: D, row: 363, expected_value: Females, label: sex} + - {column: E, row: 363, expected_value: Employee, label: employment type} + - {column: J, row: 363, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 365 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 365, expected_value: K02000001, label: geography} + - {column: D, row: 365, expected_value: Females, label: sex} + - {column: E, row: 365, expected_value: Employee, label: employment type} + - {column: J, row: 365, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 367 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 367, expected_value: K02000001, label: geography} + - {column: D, row: 367, expected_value: Females, label: sex} + - {column: E, row: 367, expected_value: Employee, label: employment type} + - {column: J, row: 367, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 369 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 369, expected_value: K02000001, label: geography} + - {column: D, row: 369, expected_value: Females, label: sex} + - {column: E, row: 369, expected_value: Employee, label: employment type} + - {column: J, row: 369, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 371 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 371, expected_value: K02000001, label: geography} + - {column: D, row: 371, expected_value: Females, label: sex} + - {column: E, row: 371, expected_value: Employee, label: employment type} + - {column: J, row: 371, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 373 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 373, expected_value: K02000001, label: geography} + - {column: D, row: 373, expected_value: Females, label: sex} + - {column: E, row: 373, expected_value: Employee, label: employment type} + - {column: J, row: 373, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 375 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 375, expected_value: K02000001, label: geography} + - {column: D, row: 375, expected_value: Females, label: sex} + - {column: E, row: 375, expected_value: Employee, label: employment type} + - {column: J, row: 375, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 377 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 377, expected_value: K02000001, label: geography} + - {column: D, row: 377, expected_value: Females, label: sex} + - {column: E, row: 377, expected_value: Employee, label: employment type} + - {column: J, row: 377, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 379 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 379, expected_value: K02000001, label: geography} + - {column: D, row: 379, expected_value: Females, label: sex} + - {column: E, row: 379, expected_value: Employee, label: employment type} + - {column: J, row: 379, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 381 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 381, expected_value: K02000001, label: geography} + - {column: D, row: 381, expected_value: Females, label: sex} + - {column: E, row: 381, expected_value: Employee, label: employment type} + - {column: J, row: 381, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 383 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 383, expected_value: K02000001, label: geography} + - {column: D, row: 383, expected_value: Females, label: sex} + - {column: E, row: 383, expected_value: Employee, label: employment type} + - {column: J, row: 383, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 385 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 385, expected_value: K02000001, label: geography} + - {column: D, row: 385, expected_value: Females, label: sex} + - {column: E, row: 385, expected_value: Employee, label: employment type} + - {column: J, row: 385, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 387 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 387, expected_value: K02000001, label: geography} + - {column: D, row: 387, expected_value: Females, label: sex} + - {column: E, row: 387, expected_value: Employee, label: employment type} + - {column: J, row: 387, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 389 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 389, expected_value: K02000001, label: geography} + - {column: D, row: 389, expected_value: Females, label: sex} + - {column: E, row: 389, expected_value: Employee, label: employment type} + - {column: J, row: 389, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 391 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 391, expected_value: K02000001, label: geography} + - {column: D, row: 391, expected_value: Females, label: sex} + - {column: E, row: 391, expected_value: Employee, label: employment type} + - {column: J, row: 391, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 393 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 393, expected_value: K02000001, label: geography} + - {column: D, row: 393, expected_value: Females, label: sex} + - {column: E, row: 393, expected_value: Employee, label: employment type} + - {column: J, row: 393, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 395 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 395, expected_value: K02000001, label: geography} + - {column: D, row: 395, expected_value: Females, label: sex} + - {column: E, row: 395, expected_value: Employee, label: employment type} + - {column: J, row: 395, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 397 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 397, expected_value: K02000001, label: geography} + - {column: D, row: 397, expected_value: Females, label: sex} + - {column: E, row: 397, expected_value: Employee, label: employment type} + - {column: J, row: 397, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 399 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 399, expected_value: K02000001, label: geography} + - {column: D, row: 399, expected_value: Females, label: sex} + - {column: E, row: 399, expected_value: Employee, label: employment type} + - {column: J, row: 399, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 401 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 401, expected_value: K02000001, label: geography} + - {column: D, row: 401, expected_value: Females, label: sex} + - {column: E, row: 401, expected_value: Employee, label: employment type} + - {column: J, row: 401, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 403 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 403, expected_value: K02000001, label: geography} + - {column: D, row: 403, expected_value: Females, label: sex} + - {column: E, row: 403, expected_value: Employee, label: employment type} + - {column: J, row: 403, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 405 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 405, expected_value: K02000001, label: geography} + - {column: D, row: 405, expected_value: Females, label: sex} + - {column: E, row: 405, expected_value: Employee, label: employment type} + - {column: J, row: 405, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 407 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 407, expected_value: K02000001, label: geography} + - {column: D, row: 407, expected_value: Females, label: sex} + - {column: E, row: 407, expected_value: Employee, label: employment type} + - {column: J, row: 407, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 409 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 409, expected_value: K02000001, label: geography} + - {column: D, row: 409, expected_value: Females, label: sex} + - {column: E, row: 409, expected_value: Employee, label: employment type} + - {column: J, row: 409, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 411 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 411, expected_value: K02000001, label: geography} + - {column: D, row: 411, expected_value: Females, label: sex} + - {column: E, row: 411, expected_value: Employee, label: employment type} + - {column: J, row: 411, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 413 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 413, expected_value: K02000001, label: geography} + - {column: D, row: 413, expected_value: Females, label: sex} + - {column: E, row: 413, expected_value: Employee, label: employment type} + - {column: J, row: 413, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 415 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 415, expected_value: K02000001, label: geography} + - {column: D, row: 415, expected_value: Females, label: sex} + - {column: E, row: 415, expected_value: Employee, label: employment type} + - {column: J, row: 415, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 417 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 417, expected_value: K02000001, label: geography} + - {column: D, row: 417, expected_value: Females, label: sex} + - {column: E, row: 417, expected_value: Employee, label: employment type} + - {column: J, row: 417, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 419 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 419, expected_value: K02000001, label: geography} + - {column: D, row: 419, expected_value: Females, label: sex} + - {column: E, row: 419, expected_value: Employee, label: employment type} + - {column: J, row: 419, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 421 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 421, expected_value: K02000001, label: geography} + - {column: D, row: 421, expected_value: Females, label: sex} + - {column: E, row: 421, expected_value: Employee, label: employment type} + - {column: J, row: 421, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 423 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 423, expected_value: K02000001, label: geography} + - {column: D, row: 423, expected_value: Females, label: sex} + - {column: E, row: 423, expected_value: Employee, label: employment type} + - {column: J, row: 423, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 425 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 425, expected_value: K02000001, label: geography} + - {column: D, row: 425, expected_value: Females, label: sex} + - {column: E, row: 425, expected_value: Employee, label: employment type} + - {column: J, row: 425, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 427 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 427, expected_value: K02000001, label: geography} + - {column: D, row: 427, expected_value: Females, label: sex} + - {column: E, row: 427, expected_value: Employee, label: employment type} + - {column: J, row: 427, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 429 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 429, expected_value: K02000001, label: geography} + - {column: D, row: 429, expected_value: Females, label: sex} + - {column: E, row: 429, expected_value: Employee, label: employment type} + - {column: J, row: 429, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 431 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 431, expected_value: K02000001, label: geography} + - {column: D, row: 431, expected_value: Females, label: sex} + - {column: E, row: 431, expected_value: Employee, label: employment type} + - {column: J, row: 431, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 433 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 433, expected_value: K02000001, label: geography} + - {column: D, row: 433, expected_value: Females, label: sex} + - {column: E, row: 433, expected_value: Employee, label: employment type} + - {column: J, row: 433, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 578 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 578, expected_value: K02000001, label: geography} + - {column: D, row: 578, expected_value: Females, label: sex} + - {column: E, row: 578, expected_value: Self-employed, label: employment type} + - {column: J, row: 578, expected_value: Value, label: measure} + - {column: L, row: 579, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 580 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 580, expected_value: K02000001, label: geography} + - {column: D, row: 580, expected_value: Females, label: sex} + - {column: E, row: 580, expected_value: Self-employed, label: employment type} + - {column: J, row: 580, expected_value: Value, label: measure} + - {column: L, row: 581, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 582 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 582, expected_value: K02000001, label: geography} + - {column: D, row: 582, expected_value: Females, label: sex} + - {column: E, row: 582, expected_value: Self-employed, label: employment type} + - {column: J, row: 582, expected_value: Value, label: measure} + - {column: L, row: 583, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 584 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 584, expected_value: K02000001, label: geography} + - {column: D, row: 584, expected_value: Females, label: sex} + - {column: E, row: 584, expected_value: Self-employed, label: employment type} + - {column: J, row: 584, expected_value: Value, label: measure} + - {column: L, row: 585, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 586 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 586, expected_value: K02000001, label: geography} + - {column: D, row: 586, expected_value: Females, label: sex} + - {column: E, row: 586, expected_value: Self-employed, label: employment type} + - {column: J, row: 586, expected_value: Value, label: measure} + - {column: L, row: 587, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 588 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 588, expected_value: K02000001, label: geography} + - {column: D, row: 588, expected_value: Females, label: sex} + - {column: E, row: 588, expected_value: Self-employed, label: employment type} + - {column: J, row: 588, expected_value: Value, label: measure} + - {column: L, row: 589, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 590 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 590, expected_value: K02000001, label: geography} + - {column: D, row: 590, expected_value: Females, label: sex} + - {column: E, row: 590, expected_value: Self-employed, label: employment type} + - {column: J, row: 590, expected_value: Value, label: measure} + - {column: L, row: 591, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 592 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 592, expected_value: K02000001, label: geography} + - {column: D, row: 592, expected_value: Females, label: sex} + - {column: E, row: 592, expected_value: Self-employed, label: employment type} + - {column: J, row: 592, expected_value: Value, label: measure} + - {column: L, row: 593, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 594 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 594, expected_value: K02000001, label: geography} + - {column: D, row: 594, expected_value: Females, label: sex} + - {column: E, row: 594, expected_value: Self-employed, label: employment type} + - {column: J, row: 594, expected_value: Value, label: measure} + - {column: L, row: 595, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 596 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 596, expected_value: K02000001, label: geography} + - {column: D, row: 596, expected_value: Females, label: sex} + - {column: E, row: 596, expected_value: Self-employed, label: employment type} + - {column: J, row: 596, expected_value: Value, label: measure} + - {column: L, row: 597, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 598 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 598, expected_value: K02000001, label: geography} + - {column: D, row: 598, expected_value: Females, label: sex} + - {column: E, row: 598, expected_value: Self-employed, label: employment type} + - {column: J, row: 598, expected_value: Value, label: measure} + - {column: L, row: 599, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 600 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 600, expected_value: K02000001, label: geography} + - {column: D, row: 600, expected_value: Females, label: sex} + - {column: E, row: 600, expected_value: Self-employed, label: employment type} + - {column: J, row: 600, expected_value: Value, label: measure} + - {column: L, row: 601, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 602 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 602, expected_value: K02000001, label: geography} + - {column: D, row: 602, expected_value: Females, label: sex} + - {column: E, row: 602, expected_value: Self-employed, label: employment type} + - {column: J, row: 602, expected_value: Value, label: measure} + - {column: L, row: 603, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 604 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 604, expected_value: K02000001, label: geography} + - {column: D, row: 604, expected_value: Females, label: sex} + - {column: E, row: 604, expected_value: Self-employed, label: employment type} + - {column: J, row: 604, expected_value: Value, label: measure} + - {column: L, row: 605, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 606 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 606, expected_value: K02000001, label: geography} + - {column: D, row: 606, expected_value: Females, label: sex} + - {column: E, row: 606, expected_value: Self-employed, label: employment type} + - {column: J, row: 606, expected_value: Value, label: measure} + - {column: L, row: 607, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 608 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 608, expected_value: K02000001, label: geography} + - {column: D, row: 608, expected_value: Females, label: sex} + - {column: E, row: 608, expected_value: Self-employed, label: employment type} + - {column: J, row: 608, expected_value: Value, label: measure} + - {column: L, row: 609, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 610 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 610, expected_value: K02000001, label: geography} + - {column: D, row: 610, expected_value: Females, label: sex} + - {column: E, row: 610, expected_value: Self-employed, label: employment type} + - {column: J, row: 610, expected_value: Value, label: measure} + - {column: L, row: 611, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 612 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 612, expected_value: K02000001, label: geography} + - {column: D, row: 612, expected_value: Females, label: sex} + - {column: E, row: 612, expected_value: Self-employed, label: employment type} + - {column: J, row: 612, expected_value: Value, label: measure} + - {column: L, row: 613, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 614 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 614, expected_value: K02000001, label: geography} + - {column: D, row: 614, expected_value: Females, label: sex} + - {column: E, row: 614, expected_value: Self-employed, label: employment type} + - {column: J, row: 614, expected_value: Value, label: measure} + - {column: L, row: 615, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 616 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 616, expected_value: K02000001, label: geography} + - {column: D, row: 616, expected_value: Females, label: sex} + - {column: E, row: 616, expected_value: Self-employed, label: employment type} + - {column: J, row: 616, expected_value: Value, label: measure} + - {column: L, row: 617, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 618 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 618, expected_value: K02000001, label: geography} + - {column: D, row: 618, expected_value: Females, label: sex} + - {column: E, row: 618, expected_value: Self-employed, label: employment type} + - {column: J, row: 618, expected_value: Value, label: measure} + - {column: L, row: 619, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 620 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 620, expected_value: K02000001, label: geography} + - {column: D, row: 620, expected_value: Females, label: sex} + - {column: E, row: 620, expected_value: Self-employed, label: employment type} + - {column: J, row: 620, expected_value: Value, label: measure} + - {column: L, row: 621, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 622 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 622, expected_value: K02000001, label: geography} + - {column: D, row: 622, expected_value: Females, label: sex} + - {column: E, row: 622, expected_value: Self-employed, label: employment type} + - {column: J, row: 622, expected_value: Value, label: measure} + - {column: L, row: 623, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 624 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 624, expected_value: K02000001, label: geography} + - {column: D, row: 624, expected_value: Females, label: sex} + - {column: E, row: 624, expected_value: Self-employed, label: employment type} + - {column: J, row: 624, expected_value: Value, label: measure} + - {column: L, row: 625, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 626 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 626, expected_value: K02000001, label: geography} + - {column: D, row: 626, expected_value: Females, label: sex} + - {column: E, row: 626, expected_value: Self-employed, label: employment type} + - {column: J, row: 626, expected_value: Value, label: measure} + - {column: L, row: 627, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 628 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 628, expected_value: K02000001, label: geography} + - {column: D, row: 628, expected_value: Females, label: sex} + - {column: E, row: 628, expected_value: Self-employed, label: employment type} + - {column: J, row: 628, expected_value: Value, label: measure} + - {column: L, row: 629, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 632 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 632, expected_value: K02000001, label: geography} + - {column: D, row: 632, expected_value: Females, label: sex} + - {column: E, row: 632, expected_value: Self-employed, label: employment type} + - {column: J, row: 632, expected_value: Value, label: measure} + - {column: L, row: 633, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 634 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 634, expected_value: K02000001, label: geography} + - {column: D, row: 634, expected_value: Females, label: sex} + - {column: E, row: 634, expected_value: Self-employed, label: employment type} + - {column: J, row: 634, expected_value: Value, label: measure} + - {column: L, row: 635, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 636 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 636, expected_value: K02000001, label: geography} + - {column: D, row: 636, expected_value: Females, label: sex} + - {column: E, row: 636, expected_value: Self-employed, label: employment type} + - {column: J, row: 636, expected_value: Value, label: measure} + - {column: L, row: 637, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 638 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 638, expected_value: K02000001, label: geography} + - {column: D, row: 638, expected_value: Females, label: sex} + - {column: E, row: 638, expected_value: Self-employed, label: employment type} + - {column: J, row: 638, expected_value: Value, label: measure} + - {column: L, row: 639, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 640 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 640, expected_value: K02000001, label: geography} + - {column: D, row: 640, expected_value: Females, label: sex} + - {column: E, row: 640, expected_value: Self-employed, label: employment type} + - {column: J, row: 640, expected_value: Value, label: measure} + - {column: L, row: 641, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 642 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 642, expected_value: K02000001, label: geography} + - {column: D, row: 642, expected_value: Females, label: sex} + - {column: E, row: 642, expected_value: Self-employed, label: employment type} + - {column: J, row: 642, expected_value: Value, label: measure} + - {column: L, row: 643, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 644 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 644, expected_value: K02000001, label: geography} + - {column: D, row: 644, expected_value: Females, label: sex} + - {column: E, row: 644, expected_value: Self-employed, label: employment type} + - {column: J, row: 644, expected_value: Value, label: measure} + - {column: L, row: 645, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 646 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 646, expected_value: K02000001, label: geography} + - {column: D, row: 646, expected_value: Females, label: sex} + - {column: E, row: 646, expected_value: Self-employed, label: employment type} + - {column: J, row: 646, expected_value: Value, label: measure} + - {column: L, row: 647, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 648 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 648, expected_value: K02000001, label: geography} + - {column: D, row: 648, expected_value: Females, label: sex} + - {column: E, row: 648, expected_value: Self-employed, label: employment type} + - {column: J, row: 648, expected_value: Value, label: measure} + - {column: L, row: 649, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.k02000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.k02000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.k02000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 579 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 579, expected_value: K02000001, label: geography} + - {column: D, row: 579, expected_value: Females, label: sex} + - {column: E, row: 579, expected_value: Self-employed, label: employment type} + - {column: J, row: 579, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 581 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 581, expected_value: K02000001, label: geography} + - {column: D, row: 581, expected_value: Females, label: sex} + - {column: E, row: 581, expected_value: Self-employed, label: employment type} + - {column: J, row: 581, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 583 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 583, expected_value: K02000001, label: geography} + - {column: D, row: 583, expected_value: Females, label: sex} + - {column: E, row: 583, expected_value: Self-employed, label: employment type} + - {column: J, row: 583, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 585 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 585, expected_value: K02000001, label: geography} + - {column: D, row: 585, expected_value: Females, label: sex} + - {column: E, row: 585, expected_value: Self-employed, label: employment type} + - {column: J, row: 585, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 587 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 587, expected_value: K02000001, label: geography} + - {column: D, row: 587, expected_value: Females, label: sex} + - {column: E, row: 587, expected_value: Self-employed, label: employment type} + - {column: J, row: 587, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 589 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 589, expected_value: K02000001, label: geography} + - {column: D, row: 589, expected_value: Females, label: sex} + - {column: E, row: 589, expected_value: Self-employed, label: employment type} + - {column: J, row: 589, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 591 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 591, expected_value: K02000001, label: geography} + - {column: D, row: 591, expected_value: Females, label: sex} + - {column: E, row: 591, expected_value: Self-employed, label: employment type} + - {column: J, row: 591, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 593 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 593, expected_value: K02000001, label: geography} + - {column: D, row: 593, expected_value: Females, label: sex} + - {column: E, row: 593, expected_value: Self-employed, label: employment type} + - {column: J, row: 593, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 595 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 595, expected_value: K02000001, label: geography} + - {column: D, row: 595, expected_value: Females, label: sex} + - {column: E, row: 595, expected_value: Self-employed, label: employment type} + - {column: J, row: 595, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 597 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 597, expected_value: K02000001, label: geography} + - {column: D, row: 597, expected_value: Females, label: sex} + - {column: E, row: 597, expected_value: Self-employed, label: employment type} + - {column: J, row: 597, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 599 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 599, expected_value: K02000001, label: geography} + - {column: D, row: 599, expected_value: Females, label: sex} + - {column: E, row: 599, expected_value: Self-employed, label: employment type} + - {column: J, row: 599, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 601 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 601, expected_value: K02000001, label: geography} + - {column: D, row: 601, expected_value: Females, label: sex} + - {column: E, row: 601, expected_value: Self-employed, label: employment type} + - {column: J, row: 601, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 605 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 605, expected_value: K02000001, label: geography} + - {column: D, row: 605, expected_value: Females, label: sex} + - {column: E, row: 605, expected_value: Self-employed, label: employment type} + - {column: J, row: 605, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 607 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 607, expected_value: K02000001, label: geography} + - {column: D, row: 607, expected_value: Females, label: sex} + - {column: E, row: 607, expected_value: Self-employed, label: employment type} + - {column: J, row: 607, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 609 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 609, expected_value: K02000001, label: geography} + - {column: D, row: 609, expected_value: Females, label: sex} + - {column: E, row: 609, expected_value: Self-employed, label: employment type} + - {column: J, row: 609, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 611 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 611, expected_value: K02000001, label: geography} + - {column: D, row: 611, expected_value: Females, label: sex} + - {column: E, row: 611, expected_value: Self-employed, label: employment type} + - {column: J, row: 611, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 613 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 613, expected_value: K02000001, label: geography} + - {column: D, row: 613, expected_value: Females, label: sex} + - {column: E, row: 613, expected_value: Self-employed, label: employment type} + - {column: J, row: 613, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 615 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 615, expected_value: K02000001, label: geography} + - {column: D, row: 615, expected_value: Females, label: sex} + - {column: E, row: 615, expected_value: Self-employed, label: employment type} + - {column: J, row: 615, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 617 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 617, expected_value: K02000001, label: geography} + - {column: D, row: 617, expected_value: Females, label: sex} + - {column: E, row: 617, expected_value: Self-employed, label: employment type} + - {column: J, row: 617, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 621 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 621, expected_value: K02000001, label: geography} + - {column: D, row: 621, expected_value: Females, label: sex} + - {column: E, row: 621, expected_value: Self-employed, label: employment type} + - {column: J, row: 621, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 623 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 623, expected_value: K02000001, label: geography} + - {column: D, row: 623, expected_value: Females, label: sex} + - {column: E, row: 623, expected_value: Self-employed, label: employment type} + - {column: J, row: 623, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 625 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 625, expected_value: K02000001, label: geography} + - {column: D, row: 625, expected_value: Females, label: sex} + - {column: E, row: 625, expected_value: Self-employed, label: employment type} + - {column: J, row: 625, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 627 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 627, expected_value: K02000001, label: geography} + - {column: D, row: 627, expected_value: Females, label: sex} + - {column: E, row: 627, expected_value: Self-employed, label: employment type} + - {column: J, row: 627, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 629 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 629, expected_value: K02000001, label: geography} + - {column: D, row: 629, expected_value: Females, label: sex} + - {column: E, row: 629, expected_value: Self-employed, label: employment type} + - {column: J, row: 629, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 633 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 633, expected_value: K02000001, label: geography} + - {column: D, row: 633, expected_value: Females, label: sex} + - {column: E, row: 633, expected_value: Self-employed, label: employment type} + - {column: J, row: 633, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 635 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 635, expected_value: K02000001, label: geography} + - {column: D, row: 635, expected_value: Females, label: sex} + - {column: E, row: 635, expected_value: Self-employed, label: employment type} + - {column: J, row: 635, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 637 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 637, expected_value: K02000001, label: geography} + - {column: D, row: 637, expected_value: Females, label: sex} + - {column: E, row: 637, expected_value: Self-employed, label: employment type} + - {column: J, row: 637, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 639 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 639, expected_value: K02000001, label: geography} + - {column: D, row: 639, expected_value: Females, label: sex} + - {column: E, row: 639, expected_value: Self-employed, label: employment type} + - {column: J, row: 639, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 641 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 641, expected_value: K02000001, label: geography} + - {column: D, row: 641, expected_value: Females, label: sex} + - {column: E, row: 641, expected_value: Self-employed, label: employment type} + - {column: J, row: 641, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 643 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 643, expected_value: K02000001, label: geography} + - {column: D, row: 643, expected_value: Females, label: sex} + - {column: E, row: 643, expected_value: Self-employed, label: employment type} + - {column: J, row: 643, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 645 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 645, expected_value: K02000001, label: geography} + - {column: D, row: 645, expected_value: Females, label: sex} + - {column: E, row: 645, expected_value: Self-employed, label: employment type} + - {column: J, row: 645, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 647 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 647, expected_value: K02000001, label: geography} + - {column: D, row: 647, expected_value: Females, label: sex} + - {column: E, row: 647, expected_value: Self-employed, label: employment type} + - {column: J, row: 647, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 649 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 649, expected_value: K02000001, label: geography} + - {column: D, row: 649, expected_value: Females, label: sex} + - {column: E, row: 649, expected_value: Self-employed, label: employment type} + - {column: J, row: 649, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 650 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 650, expected_value: E92000001, label: geography} + - {column: D, row: 650, expected_value: All persons, label: sex} + - {column: E, row: 650, expected_value: Total, label: employment type} + - {column: J, row: 650, expected_value: Value, label: measure} + - {column: L, row: 651, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 652 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 652, expected_value: E92000001, label: geography} + - {column: D, row: 652, expected_value: All persons, label: sex} + - {column: E, row: 652, expected_value: Total, label: employment type} + - {column: J, row: 652, expected_value: Value, label: measure} + - {column: L, row: 653, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 654 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 654, expected_value: E92000001, label: geography} + - {column: D, row: 654, expected_value: All persons, label: sex} + - {column: E, row: 654, expected_value: Total, label: employment type} + - {column: J, row: 654, expected_value: Value, label: measure} + - {column: L, row: 655, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 656 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 656, expected_value: E92000001, label: geography} + - {column: D, row: 656, expected_value: All persons, label: sex} + - {column: E, row: 656, expected_value: Total, label: employment type} + - {column: J, row: 656, expected_value: Value, label: measure} + - {column: L, row: 657, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 658 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 658, expected_value: E92000001, label: geography} + - {column: D, row: 658, expected_value: All persons, label: sex} + - {column: E, row: 658, expected_value: Total, label: employment type} + - {column: J, row: 658, expected_value: Value, label: measure} + - {column: L, row: 659, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 660 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 660, expected_value: E92000001, label: geography} + - {column: D, row: 660, expected_value: All persons, label: sex} + - {column: E, row: 660, expected_value: Total, label: employment type} + - {column: J, row: 660, expected_value: Value, label: measure} + - {column: L, row: 661, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 662 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 662, expected_value: E92000001, label: geography} + - {column: D, row: 662, expected_value: All persons, label: sex} + - {column: E, row: 662, expected_value: Total, label: employment type} + - {column: J, row: 662, expected_value: Value, label: measure} + - {column: L, row: 663, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 664 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 664, expected_value: E92000001, label: geography} + - {column: D, row: 664, expected_value: All persons, label: sex} + - {column: E, row: 664, expected_value: Total, label: employment type} + - {column: J, row: 664, expected_value: Value, label: measure} + - {column: L, row: 665, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 666 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 666, expected_value: E92000001, label: geography} + - {column: D, row: 666, expected_value: All persons, label: sex} + - {column: E, row: 666, expected_value: Total, label: employment type} + - {column: J, row: 666, expected_value: Value, label: measure} + - {column: L, row: 667, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 668 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 668, expected_value: E92000001, label: geography} + - {column: D, row: 668, expected_value: All persons, label: sex} + - {column: E, row: 668, expected_value: Total, label: employment type} + - {column: J, row: 668, expected_value: Value, label: measure} + - {column: L, row: 669, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 670 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 670, expected_value: E92000001, label: geography} + - {column: D, row: 670, expected_value: All persons, label: sex} + - {column: E, row: 670, expected_value: Total, label: employment type} + - {column: J, row: 670, expected_value: Value, label: measure} + - {column: L, row: 671, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 672 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 672, expected_value: E92000001, label: geography} + - {column: D, row: 672, expected_value: All persons, label: sex} + - {column: E, row: 672, expected_value: Total, label: employment type} + - {column: J, row: 672, expected_value: Value, label: measure} + - {column: L, row: 673, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 674 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 674, expected_value: E92000001, label: geography} + - {column: D, row: 674, expected_value: All persons, label: sex} + - {column: E, row: 674, expected_value: Total, label: employment type} + - {column: J, row: 674, expected_value: Value, label: measure} + - {column: L, row: 675, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 676 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 676, expected_value: E92000001, label: geography} + - {column: D, row: 676, expected_value: All persons, label: sex} + - {column: E, row: 676, expected_value: Total, label: employment type} + - {column: J, row: 676, expected_value: Value, label: measure} + - {column: L, row: 677, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 678 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 678, expected_value: E92000001, label: geography} + - {column: D, row: 678, expected_value: All persons, label: sex} + - {column: E, row: 678, expected_value: Total, label: employment type} + - {column: J, row: 678, expected_value: Value, label: measure} + - {column: L, row: 679, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 680 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 680, expected_value: E92000001, label: geography} + - {column: D, row: 680, expected_value: All persons, label: sex} + - {column: E, row: 680, expected_value: Total, label: employment type} + - {column: J, row: 680, expected_value: Value, label: measure} + - {column: L, row: 681, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 682 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 682, expected_value: E92000001, label: geography} + - {column: D, row: 682, expected_value: All persons, label: sex} + - {column: E, row: 682, expected_value: Total, label: employment type} + - {column: J, row: 682, expected_value: Value, label: measure} + - {column: L, row: 683, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 684 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 684, expected_value: E92000001, label: geography} + - {column: D, row: 684, expected_value: All persons, label: sex} + - {column: E, row: 684, expected_value: Total, label: employment type} + - {column: J, row: 684, expected_value: Value, label: measure} + - {column: L, row: 685, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 686 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 686, expected_value: E92000001, label: geography} + - {column: D, row: 686, expected_value: All persons, label: sex} + - {column: E, row: 686, expected_value: Total, label: employment type} + - {column: J, row: 686, expected_value: Value, label: measure} + - {column: L, row: 687, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 688 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 688, expected_value: E92000001, label: geography} + - {column: D, row: 688, expected_value: All persons, label: sex} + - {column: E, row: 688, expected_value: Total, label: employment type} + - {column: J, row: 688, expected_value: Value, label: measure} + - {column: L, row: 689, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 690 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 690, expected_value: E92000001, label: geography} + - {column: D, row: 690, expected_value: All persons, label: sex} + - {column: E, row: 690, expected_value: Total, label: employment type} + - {column: J, row: 690, expected_value: Value, label: measure} + - {column: L, row: 691, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 692 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 692, expected_value: E92000001, label: geography} + - {column: D, row: 692, expected_value: All persons, label: sex} + - {column: E, row: 692, expected_value: Total, label: employment type} + - {column: J, row: 692, expected_value: Value, label: measure} + - {column: L, row: 693, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 694 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 694, expected_value: E92000001, label: geography} + - {column: D, row: 694, expected_value: All persons, label: sex} + - {column: E, row: 694, expected_value: Total, label: employment type} + - {column: J, row: 694, expected_value: Value, label: measure} + - {column: L, row: 695, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 696 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 696, expected_value: E92000001, label: geography} + - {column: D, row: 696, expected_value: All persons, label: sex} + - {column: E, row: 696, expected_value: Total, label: employment type} + - {column: J, row: 696, expected_value: Value, label: measure} + - {column: L, row: 697, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 698 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 698, expected_value: E92000001, label: geography} + - {column: D, row: 698, expected_value: All persons, label: sex} + - {column: E, row: 698, expected_value: Total, label: employment type} + - {column: J, row: 698, expected_value: Value, label: measure} + - {column: L, row: 699, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 700 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 700, expected_value: E92000001, label: geography} + - {column: D, row: 700, expected_value: All persons, label: sex} + - {column: E, row: 700, expected_value: Total, label: employment type} + - {column: J, row: 700, expected_value: Value, label: measure} + - {column: L, row: 701, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 702 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 702, expected_value: E92000001, label: geography} + - {column: D, row: 702, expected_value: All persons, label: sex} + - {column: E, row: 702, expected_value: Total, label: employment type} + - {column: J, row: 702, expected_value: Value, label: measure} + - {column: L, row: 703, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 704 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 704, expected_value: E92000001, label: geography} + - {column: D, row: 704, expected_value: All persons, label: sex} + - {column: E, row: 704, expected_value: Total, label: employment type} + - {column: J, row: 704, expected_value: Value, label: measure} + - {column: L, row: 705, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 706 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 706, expected_value: E92000001, label: geography} + - {column: D, row: 706, expected_value: All persons, label: sex} + - {column: E, row: 706, expected_value: Total, label: employment type} + - {column: J, row: 706, expected_value: Value, label: measure} + - {column: L, row: 707, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 708 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 708, expected_value: E92000001, label: geography} + - {column: D, row: 708, expected_value: All persons, label: sex} + - {column: E, row: 708, expected_value: Total, label: employment type} + - {column: J, row: 708, expected_value: Value, label: measure} + - {column: L, row: 709, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 710 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 710, expected_value: E92000001, label: geography} + - {column: D, row: 710, expected_value: All persons, label: sex} + - {column: E, row: 710, expected_value: Total, label: employment type} + - {column: J, row: 710, expected_value: Value, label: measure} + - {column: L, row: 711, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 712 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 712, expected_value: E92000001, label: geography} + - {column: D, row: 712, expected_value: All persons, label: sex} + - {column: E, row: 712, expected_value: Total, label: employment type} + - {column: J, row: 712, expected_value: Value, label: measure} + - {column: L, row: 713, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 714 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 714, expected_value: E92000001, label: geography} + - {column: D, row: 714, expected_value: All persons, label: sex} + - {column: E, row: 714, expected_value: Total, label: employment type} + - {column: J, row: 714, expected_value: Value, label: measure} + - {column: L, row: 715, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 716 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 716, expected_value: E92000001, label: geography} + - {column: D, row: 716, expected_value: All persons, label: sex} + - {column: E, row: 716, expected_value: Total, label: employment type} + - {column: J, row: 716, expected_value: Value, label: measure} + - {column: L, row: 717, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 718 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 718, expected_value: E92000001, label: geography} + - {column: D, row: 718, expected_value: All persons, label: sex} + - {column: E, row: 718, expected_value: Total, label: employment type} + - {column: J, row: 718, expected_value: Value, label: measure} + - {column: L, row: 719, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 720 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 720, expected_value: E92000001, label: geography} + - {column: D, row: 720, expected_value: All persons, label: sex} + - {column: E, row: 720, expected_value: Total, label: employment type} + - {column: J, row: 720, expected_value: Value, label: measure} + - {column: L, row: 721, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 651 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 651, expected_value: E92000001, label: geography} + - {column: D, row: 651, expected_value: All persons, label: sex} + - {column: E, row: 651, expected_value: Total, label: employment type} + - {column: J, row: 651, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 653 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 653, expected_value: E92000001, label: geography} + - {column: D, row: 653, expected_value: All persons, label: sex} + - {column: E, row: 653, expected_value: Total, label: employment type} + - {column: J, row: 653, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 655 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 655, expected_value: E92000001, label: geography} + - {column: D, row: 655, expected_value: All persons, label: sex} + - {column: E, row: 655, expected_value: Total, label: employment type} + - {column: J, row: 655, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 657 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 657, expected_value: E92000001, label: geography} + - {column: D, row: 657, expected_value: All persons, label: sex} + - {column: E, row: 657, expected_value: Total, label: employment type} + - {column: J, row: 657, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 659 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 659, expected_value: E92000001, label: geography} + - {column: D, row: 659, expected_value: All persons, label: sex} + - {column: E, row: 659, expected_value: Total, label: employment type} + - {column: J, row: 659, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 661 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 661, expected_value: E92000001, label: geography} + - {column: D, row: 661, expected_value: All persons, label: sex} + - {column: E, row: 661, expected_value: Total, label: employment type} + - {column: J, row: 661, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 663 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 663, expected_value: E92000001, label: geography} + - {column: D, row: 663, expected_value: All persons, label: sex} + - {column: E, row: 663, expected_value: Total, label: employment type} + - {column: J, row: 663, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 665 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 665, expected_value: E92000001, label: geography} + - {column: D, row: 665, expected_value: All persons, label: sex} + - {column: E, row: 665, expected_value: Total, label: employment type} + - {column: J, row: 665, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 667 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 667, expected_value: E92000001, label: geography} + - {column: D, row: 667, expected_value: All persons, label: sex} + - {column: E, row: 667, expected_value: Total, label: employment type} + - {column: J, row: 667, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 669 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 669, expected_value: E92000001, label: geography} + - {column: D, row: 669, expected_value: All persons, label: sex} + - {column: E, row: 669, expected_value: Total, label: employment type} + - {column: J, row: 669, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 671 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 671, expected_value: E92000001, label: geography} + - {column: D, row: 671, expected_value: All persons, label: sex} + - {column: E, row: 671, expected_value: Total, label: employment type} + - {column: J, row: 671, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 673 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 673, expected_value: E92000001, label: geography} + - {column: D, row: 673, expected_value: All persons, label: sex} + - {column: E, row: 673, expected_value: Total, label: employment type} + - {column: J, row: 673, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 675 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 675, expected_value: E92000001, label: geography} + - {column: D, row: 675, expected_value: All persons, label: sex} + - {column: E, row: 675, expected_value: Total, label: employment type} + - {column: J, row: 675, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 677 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 677, expected_value: E92000001, label: geography} + - {column: D, row: 677, expected_value: All persons, label: sex} + - {column: E, row: 677, expected_value: Total, label: employment type} + - {column: J, row: 677, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 679 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 679, expected_value: E92000001, label: geography} + - {column: D, row: 679, expected_value: All persons, label: sex} + - {column: E, row: 679, expected_value: Total, label: employment type} + - {column: J, row: 679, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 681 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 681, expected_value: E92000001, label: geography} + - {column: D, row: 681, expected_value: All persons, label: sex} + - {column: E, row: 681, expected_value: Total, label: employment type} + - {column: J, row: 681, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 683 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 683, expected_value: E92000001, label: geography} + - {column: D, row: 683, expected_value: All persons, label: sex} + - {column: E, row: 683, expected_value: Total, label: employment type} + - {column: J, row: 683, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 685 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 685, expected_value: E92000001, label: geography} + - {column: D, row: 685, expected_value: All persons, label: sex} + - {column: E, row: 685, expected_value: Total, label: employment type} + - {column: J, row: 685, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 687 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 687, expected_value: E92000001, label: geography} + - {column: D, row: 687, expected_value: All persons, label: sex} + - {column: E, row: 687, expected_value: Total, label: employment type} + - {column: J, row: 687, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 689 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 689, expected_value: E92000001, label: geography} + - {column: D, row: 689, expected_value: All persons, label: sex} + - {column: E, row: 689, expected_value: Total, label: employment type} + - {column: J, row: 689, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 691 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 691, expected_value: E92000001, label: geography} + - {column: D, row: 691, expected_value: All persons, label: sex} + - {column: E, row: 691, expected_value: Total, label: employment type} + - {column: J, row: 691, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 693 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 693, expected_value: E92000001, label: geography} + - {column: D, row: 693, expected_value: All persons, label: sex} + - {column: E, row: 693, expected_value: Total, label: employment type} + - {column: J, row: 693, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 695 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 695, expected_value: E92000001, label: geography} + - {column: D, row: 695, expected_value: All persons, label: sex} + - {column: E, row: 695, expected_value: Total, label: employment type} + - {column: J, row: 695, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 697 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 697, expected_value: E92000001, label: geography} + - {column: D, row: 697, expected_value: All persons, label: sex} + - {column: E, row: 697, expected_value: Total, label: employment type} + - {column: J, row: 697, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 699 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 699, expected_value: E92000001, label: geography} + - {column: D, row: 699, expected_value: All persons, label: sex} + - {column: E, row: 699, expected_value: Total, label: employment type} + - {column: J, row: 699, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 701 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 701, expected_value: E92000001, label: geography} + - {column: D, row: 701, expected_value: All persons, label: sex} + - {column: E, row: 701, expected_value: Total, label: employment type} + - {column: J, row: 701, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 703 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 703, expected_value: E92000001, label: geography} + - {column: D, row: 703, expected_value: All persons, label: sex} + - {column: E, row: 703, expected_value: Total, label: employment type} + - {column: J, row: 703, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 705 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 705, expected_value: E92000001, label: geography} + - {column: D, row: 705, expected_value: All persons, label: sex} + - {column: E, row: 705, expected_value: Total, label: employment type} + - {column: J, row: 705, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 707 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 707, expected_value: E92000001, label: geography} + - {column: D, row: 707, expected_value: All persons, label: sex} + - {column: E, row: 707, expected_value: Total, label: employment type} + - {column: J, row: 707, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 709 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 709, expected_value: E92000001, label: geography} + - {column: D, row: 709, expected_value: All persons, label: sex} + - {column: E, row: 709, expected_value: Total, label: employment type} + - {column: J, row: 709, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 711 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 711, expected_value: E92000001, label: geography} + - {column: D, row: 711, expected_value: All persons, label: sex} + - {column: E, row: 711, expected_value: Total, label: employment type} + - {column: J, row: 711, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 713 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 713, expected_value: E92000001, label: geography} + - {column: D, row: 713, expected_value: All persons, label: sex} + - {column: E, row: 713, expected_value: Total, label: employment type} + - {column: J, row: 713, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 715 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 715, expected_value: E92000001, label: geography} + - {column: D, row: 715, expected_value: All persons, label: sex} + - {column: E, row: 715, expected_value: Total, label: employment type} + - {column: J, row: 715, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 717 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 717, expected_value: E92000001, label: geography} + - {column: D, row: 717, expected_value: All persons, label: sex} + - {column: E, row: 717, expected_value: Total, label: employment type} + - {column: J, row: 717, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 719 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 719, expected_value: E92000001, label: geography} + - {column: D, row: 719, expected_value: All persons, label: sex} + - {column: E, row: 719, expected_value: Total, label: employment type} + - {column: J, row: 719, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 721 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 721, expected_value: E92000001, label: geography} + - {column: D, row: 721, expected_value: All persons, label: sex} + - {column: E, row: 721, expected_value: Total, label: employment type} + - {column: J, row: 721, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 866 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 866, expected_value: E92000001, label: geography} + - {column: D, row: 866, expected_value: All persons, label: sex} + - {column: E, row: 866, expected_value: Employee, label: employment type} + - {column: J, row: 866, expected_value: Value, label: measure} + - {column: L, row: 867, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 868 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 868, expected_value: E92000001, label: geography} + - {column: D, row: 868, expected_value: All persons, label: sex} + - {column: E, row: 868, expected_value: Employee, label: employment type} + - {column: J, row: 868, expected_value: Value, label: measure} + - {column: L, row: 869, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 870 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 870, expected_value: E92000001, label: geography} + - {column: D, row: 870, expected_value: All persons, label: sex} + - {column: E, row: 870, expected_value: Employee, label: employment type} + - {column: J, row: 870, expected_value: Value, label: measure} + - {column: L, row: 871, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 872 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 872, expected_value: E92000001, label: geography} + - {column: D, row: 872, expected_value: All persons, label: sex} + - {column: E, row: 872, expected_value: Employee, label: employment type} + - {column: J, row: 872, expected_value: Value, label: measure} + - {column: L, row: 873, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 874 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 874, expected_value: E92000001, label: geography} + - {column: D, row: 874, expected_value: All persons, label: sex} + - {column: E, row: 874, expected_value: Employee, label: employment type} + - {column: J, row: 874, expected_value: Value, label: measure} + - {column: L, row: 875, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 876 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 876, expected_value: E92000001, label: geography} + - {column: D, row: 876, expected_value: All persons, label: sex} + - {column: E, row: 876, expected_value: Employee, label: employment type} + - {column: J, row: 876, expected_value: Value, label: measure} + - {column: L, row: 877, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 878 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 878, expected_value: E92000001, label: geography} + - {column: D, row: 878, expected_value: All persons, label: sex} + - {column: E, row: 878, expected_value: Employee, label: employment type} + - {column: J, row: 878, expected_value: Value, label: measure} + - {column: L, row: 879, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 880 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 880, expected_value: E92000001, label: geography} + - {column: D, row: 880, expected_value: All persons, label: sex} + - {column: E, row: 880, expected_value: Employee, label: employment type} + - {column: J, row: 880, expected_value: Value, label: measure} + - {column: L, row: 881, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 882 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 882, expected_value: E92000001, label: geography} + - {column: D, row: 882, expected_value: All persons, label: sex} + - {column: E, row: 882, expected_value: Employee, label: employment type} + - {column: J, row: 882, expected_value: Value, label: measure} + - {column: L, row: 883, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 884 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 884, expected_value: E92000001, label: geography} + - {column: D, row: 884, expected_value: All persons, label: sex} + - {column: E, row: 884, expected_value: Employee, label: employment type} + - {column: J, row: 884, expected_value: Value, label: measure} + - {column: L, row: 885, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 886 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 886, expected_value: E92000001, label: geography} + - {column: D, row: 886, expected_value: All persons, label: sex} + - {column: E, row: 886, expected_value: Employee, label: employment type} + - {column: J, row: 886, expected_value: Value, label: measure} + - {column: L, row: 887, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 888 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 888, expected_value: E92000001, label: geography} + - {column: D, row: 888, expected_value: All persons, label: sex} + - {column: E, row: 888, expected_value: Employee, label: employment type} + - {column: J, row: 888, expected_value: Value, label: measure} + - {column: L, row: 889, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 890 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 890, expected_value: E92000001, label: geography} + - {column: D, row: 890, expected_value: All persons, label: sex} + - {column: E, row: 890, expected_value: Employee, label: employment type} + - {column: J, row: 890, expected_value: Value, label: measure} + - {column: L, row: 891, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 892 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 892, expected_value: E92000001, label: geography} + - {column: D, row: 892, expected_value: All persons, label: sex} + - {column: E, row: 892, expected_value: Employee, label: employment type} + - {column: J, row: 892, expected_value: Value, label: measure} + - {column: L, row: 893, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 894 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 894, expected_value: E92000001, label: geography} + - {column: D, row: 894, expected_value: All persons, label: sex} + - {column: E, row: 894, expected_value: Employee, label: employment type} + - {column: J, row: 894, expected_value: Value, label: measure} + - {column: L, row: 895, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 896 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 896, expected_value: E92000001, label: geography} + - {column: D, row: 896, expected_value: All persons, label: sex} + - {column: E, row: 896, expected_value: Employee, label: employment type} + - {column: J, row: 896, expected_value: Value, label: measure} + - {column: L, row: 897, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 898 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 898, expected_value: E92000001, label: geography} + - {column: D, row: 898, expected_value: All persons, label: sex} + - {column: E, row: 898, expected_value: Employee, label: employment type} + - {column: J, row: 898, expected_value: Value, label: measure} + - {column: L, row: 899, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 900 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 900, expected_value: E92000001, label: geography} + - {column: D, row: 900, expected_value: All persons, label: sex} + - {column: E, row: 900, expected_value: Employee, label: employment type} + - {column: J, row: 900, expected_value: Value, label: measure} + - {column: L, row: 901, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 902 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 902, expected_value: E92000001, label: geography} + - {column: D, row: 902, expected_value: All persons, label: sex} + - {column: E, row: 902, expected_value: Employee, label: employment type} + - {column: J, row: 902, expected_value: Value, label: measure} + - {column: L, row: 903, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 904 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 904, expected_value: E92000001, label: geography} + - {column: D, row: 904, expected_value: All persons, label: sex} + - {column: E, row: 904, expected_value: Employee, label: employment type} + - {column: J, row: 904, expected_value: Value, label: measure} + - {column: L, row: 905, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 906 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 906, expected_value: E92000001, label: geography} + - {column: D, row: 906, expected_value: All persons, label: sex} + - {column: E, row: 906, expected_value: Employee, label: employment type} + - {column: J, row: 906, expected_value: Value, label: measure} + - {column: L, row: 907, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 908 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 908, expected_value: E92000001, label: geography} + - {column: D, row: 908, expected_value: All persons, label: sex} + - {column: E, row: 908, expected_value: Employee, label: employment type} + - {column: J, row: 908, expected_value: Value, label: measure} + - {column: L, row: 909, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 910 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 910, expected_value: E92000001, label: geography} + - {column: D, row: 910, expected_value: All persons, label: sex} + - {column: E, row: 910, expected_value: Employee, label: employment type} + - {column: J, row: 910, expected_value: Value, label: measure} + - {column: L, row: 911, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 912 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 912, expected_value: E92000001, label: geography} + - {column: D, row: 912, expected_value: All persons, label: sex} + - {column: E, row: 912, expected_value: Employee, label: employment type} + - {column: J, row: 912, expected_value: Value, label: measure} + - {column: L, row: 913, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 914 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 914, expected_value: E92000001, label: geography} + - {column: D, row: 914, expected_value: All persons, label: sex} + - {column: E, row: 914, expected_value: Employee, label: employment type} + - {column: J, row: 914, expected_value: Value, label: measure} + - {column: L, row: 915, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 916 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 916, expected_value: E92000001, label: geography} + - {column: D, row: 916, expected_value: All persons, label: sex} + - {column: E, row: 916, expected_value: Employee, label: employment type} + - {column: J, row: 916, expected_value: Value, label: measure} + - {column: L, row: 917, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 918 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 918, expected_value: E92000001, label: geography} + - {column: D, row: 918, expected_value: All persons, label: sex} + - {column: E, row: 918, expected_value: Employee, label: employment type} + - {column: J, row: 918, expected_value: Value, label: measure} + - {column: L, row: 919, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 920 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 920, expected_value: E92000001, label: geography} + - {column: D, row: 920, expected_value: All persons, label: sex} + - {column: E, row: 920, expected_value: Employee, label: employment type} + - {column: J, row: 920, expected_value: Value, label: measure} + - {column: L, row: 921, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 922 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 922, expected_value: E92000001, label: geography} + - {column: D, row: 922, expected_value: All persons, label: sex} + - {column: E, row: 922, expected_value: Employee, label: employment type} + - {column: J, row: 922, expected_value: Value, label: measure} + - {column: L, row: 923, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 924 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 924, expected_value: E92000001, label: geography} + - {column: D, row: 924, expected_value: All persons, label: sex} + - {column: E, row: 924, expected_value: Employee, label: employment type} + - {column: J, row: 924, expected_value: Value, label: measure} + - {column: L, row: 925, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 926 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 926, expected_value: E92000001, label: geography} + - {column: D, row: 926, expected_value: All persons, label: sex} + - {column: E, row: 926, expected_value: Employee, label: employment type} + - {column: J, row: 926, expected_value: Value, label: measure} + - {column: L, row: 927, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 928 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 928, expected_value: E92000001, label: geography} + - {column: D, row: 928, expected_value: All persons, label: sex} + - {column: E, row: 928, expected_value: Employee, label: employment type} + - {column: J, row: 928, expected_value: Value, label: measure} + - {column: L, row: 929, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 930 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 930, expected_value: E92000001, label: geography} + - {column: D, row: 930, expected_value: All persons, label: sex} + - {column: E, row: 930, expected_value: Employee, label: employment type} + - {column: J, row: 930, expected_value: Value, label: measure} + - {column: L, row: 931, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 932 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 932, expected_value: E92000001, label: geography} + - {column: D, row: 932, expected_value: All persons, label: sex} + - {column: E, row: 932, expected_value: Employee, label: employment type} + - {column: J, row: 932, expected_value: Value, label: measure} + - {column: L, row: 933, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 934 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 934, expected_value: E92000001, label: geography} + - {column: D, row: 934, expected_value: All persons, label: sex} + - {column: E, row: 934, expected_value: Employee, label: employment type} + - {column: J, row: 934, expected_value: Value, label: measure} + - {column: L, row: 935, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 936 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 936, expected_value: E92000001, label: geography} + - {column: D, row: 936, expected_value: All persons, label: sex} + - {column: E, row: 936, expected_value: Employee, label: employment type} + - {column: J, row: 936, expected_value: Value, label: measure} + - {column: L, row: 937, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 867 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 867, expected_value: E92000001, label: geography} + - {column: D, row: 867, expected_value: All persons, label: sex} + - {column: E, row: 867, expected_value: Employee, label: employment type} + - {column: J, row: 867, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 869 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 869, expected_value: E92000001, label: geography} + - {column: D, row: 869, expected_value: All persons, label: sex} + - {column: E, row: 869, expected_value: Employee, label: employment type} + - {column: J, row: 869, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 871 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 871, expected_value: E92000001, label: geography} + - {column: D, row: 871, expected_value: All persons, label: sex} + - {column: E, row: 871, expected_value: Employee, label: employment type} + - {column: J, row: 871, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 873 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 873, expected_value: E92000001, label: geography} + - {column: D, row: 873, expected_value: All persons, label: sex} + - {column: E, row: 873, expected_value: Employee, label: employment type} + - {column: J, row: 873, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 875 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 875, expected_value: E92000001, label: geography} + - {column: D, row: 875, expected_value: All persons, label: sex} + - {column: E, row: 875, expected_value: Employee, label: employment type} + - {column: J, row: 875, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 877 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 877, expected_value: E92000001, label: geography} + - {column: D, row: 877, expected_value: All persons, label: sex} + - {column: E, row: 877, expected_value: Employee, label: employment type} + - {column: J, row: 877, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 879 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 879, expected_value: E92000001, label: geography} + - {column: D, row: 879, expected_value: All persons, label: sex} + - {column: E, row: 879, expected_value: Employee, label: employment type} + - {column: J, row: 879, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 881 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 881, expected_value: E92000001, label: geography} + - {column: D, row: 881, expected_value: All persons, label: sex} + - {column: E, row: 881, expected_value: Employee, label: employment type} + - {column: J, row: 881, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 883 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 883, expected_value: E92000001, label: geography} + - {column: D, row: 883, expected_value: All persons, label: sex} + - {column: E, row: 883, expected_value: Employee, label: employment type} + - {column: J, row: 883, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 885 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 885, expected_value: E92000001, label: geography} + - {column: D, row: 885, expected_value: All persons, label: sex} + - {column: E, row: 885, expected_value: Employee, label: employment type} + - {column: J, row: 885, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 887 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 887, expected_value: E92000001, label: geography} + - {column: D, row: 887, expected_value: All persons, label: sex} + - {column: E, row: 887, expected_value: Employee, label: employment type} + - {column: J, row: 887, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 889 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 889, expected_value: E92000001, label: geography} + - {column: D, row: 889, expected_value: All persons, label: sex} + - {column: E, row: 889, expected_value: Employee, label: employment type} + - {column: J, row: 889, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 891 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 891, expected_value: E92000001, label: geography} + - {column: D, row: 891, expected_value: All persons, label: sex} + - {column: E, row: 891, expected_value: Employee, label: employment type} + - {column: J, row: 891, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 893 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 893, expected_value: E92000001, label: geography} + - {column: D, row: 893, expected_value: All persons, label: sex} + - {column: E, row: 893, expected_value: Employee, label: employment type} + - {column: J, row: 893, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 895 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 895, expected_value: E92000001, label: geography} + - {column: D, row: 895, expected_value: All persons, label: sex} + - {column: E, row: 895, expected_value: Employee, label: employment type} + - {column: J, row: 895, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 897 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 897, expected_value: E92000001, label: geography} + - {column: D, row: 897, expected_value: All persons, label: sex} + - {column: E, row: 897, expected_value: Employee, label: employment type} + - {column: J, row: 897, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 899 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 899, expected_value: E92000001, label: geography} + - {column: D, row: 899, expected_value: All persons, label: sex} + - {column: E, row: 899, expected_value: Employee, label: employment type} + - {column: J, row: 899, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 901 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 901, expected_value: E92000001, label: geography} + - {column: D, row: 901, expected_value: All persons, label: sex} + - {column: E, row: 901, expected_value: Employee, label: employment type} + - {column: J, row: 901, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 903 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 903, expected_value: E92000001, label: geography} + - {column: D, row: 903, expected_value: All persons, label: sex} + - {column: E, row: 903, expected_value: Employee, label: employment type} + - {column: J, row: 903, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 905 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 905, expected_value: E92000001, label: geography} + - {column: D, row: 905, expected_value: All persons, label: sex} + - {column: E, row: 905, expected_value: Employee, label: employment type} + - {column: J, row: 905, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 907 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 907, expected_value: E92000001, label: geography} + - {column: D, row: 907, expected_value: All persons, label: sex} + - {column: E, row: 907, expected_value: Employee, label: employment type} + - {column: J, row: 907, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 909 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 909, expected_value: E92000001, label: geography} + - {column: D, row: 909, expected_value: All persons, label: sex} + - {column: E, row: 909, expected_value: Employee, label: employment type} + - {column: J, row: 909, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 911 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 911, expected_value: E92000001, label: geography} + - {column: D, row: 911, expected_value: All persons, label: sex} + - {column: E, row: 911, expected_value: Employee, label: employment type} + - {column: J, row: 911, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 913 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 913, expected_value: E92000001, label: geography} + - {column: D, row: 913, expected_value: All persons, label: sex} + - {column: E, row: 913, expected_value: Employee, label: employment type} + - {column: J, row: 913, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 915 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 915, expected_value: E92000001, label: geography} + - {column: D, row: 915, expected_value: All persons, label: sex} + - {column: E, row: 915, expected_value: Employee, label: employment type} + - {column: J, row: 915, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 917 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 917, expected_value: E92000001, label: geography} + - {column: D, row: 917, expected_value: All persons, label: sex} + - {column: E, row: 917, expected_value: Employee, label: employment type} + - {column: J, row: 917, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 919 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 919, expected_value: E92000001, label: geography} + - {column: D, row: 919, expected_value: All persons, label: sex} + - {column: E, row: 919, expected_value: Employee, label: employment type} + - {column: J, row: 919, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 921 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 921, expected_value: E92000001, label: geography} + - {column: D, row: 921, expected_value: All persons, label: sex} + - {column: E, row: 921, expected_value: Employee, label: employment type} + - {column: J, row: 921, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 923 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 923, expected_value: E92000001, label: geography} + - {column: D, row: 923, expected_value: All persons, label: sex} + - {column: E, row: 923, expected_value: Employee, label: employment type} + - {column: J, row: 923, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 925 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 925, expected_value: E92000001, label: geography} + - {column: D, row: 925, expected_value: All persons, label: sex} + - {column: E, row: 925, expected_value: Employee, label: employment type} + - {column: J, row: 925, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 927 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 927, expected_value: E92000001, label: geography} + - {column: D, row: 927, expected_value: All persons, label: sex} + - {column: E, row: 927, expected_value: Employee, label: employment type} + - {column: J, row: 927, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 929 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 929, expected_value: E92000001, label: geography} + - {column: D, row: 929, expected_value: All persons, label: sex} + - {column: E, row: 929, expected_value: Employee, label: employment type} + - {column: J, row: 929, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 931 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 931, expected_value: E92000001, label: geography} + - {column: D, row: 931, expected_value: All persons, label: sex} + - {column: E, row: 931, expected_value: Employee, label: employment type} + - {column: J, row: 931, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 933 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 933, expected_value: E92000001, label: geography} + - {column: D, row: 933, expected_value: All persons, label: sex} + - {column: E, row: 933, expected_value: Employee, label: employment type} + - {column: J, row: 933, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 935 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 935, expected_value: E92000001, label: geography} + - {column: D, row: 935, expected_value: All persons, label: sex} + - {column: E, row: 935, expected_value: Employee, label: employment type} + - {column: J, row: 935, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 937 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 937, expected_value: E92000001, label: geography} + - {column: D, row: 937, expected_value: All persons, label: sex} + - {column: E, row: 937, expected_value: Employee, label: employment type} + - {column: J, row: 937, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1082 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1082, expected_value: E92000001, label: geography} + - {column: D, row: 1082, expected_value: All persons, label: sex} + - {column: E, row: 1082, expected_value: Self-employed, label: employment type} + - {column: J, row: 1082, expected_value: Value, label: measure} + - {column: L, row: 1083, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1084 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1084, expected_value: E92000001, label: geography} + - {column: D, row: 1084, expected_value: All persons, label: sex} + - {column: E, row: 1084, expected_value: Self-employed, label: employment type} + - {column: J, row: 1084, expected_value: Value, label: measure} + - {column: L, row: 1085, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1086 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1086, expected_value: E92000001, label: geography} + - {column: D, row: 1086, expected_value: All persons, label: sex} + - {column: E, row: 1086, expected_value: Self-employed, label: employment type} + - {column: J, row: 1086, expected_value: Value, label: measure} + - {column: L, row: 1087, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1088 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1088, expected_value: E92000001, label: geography} + - {column: D, row: 1088, expected_value: All persons, label: sex} + - {column: E, row: 1088, expected_value: Self-employed, label: employment type} + - {column: J, row: 1088, expected_value: Value, label: measure} + - {column: L, row: 1089, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1090 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1090, expected_value: E92000001, label: geography} + - {column: D, row: 1090, expected_value: All persons, label: sex} + - {column: E, row: 1090, expected_value: Self-employed, label: employment type} + - {column: J, row: 1090, expected_value: Value, label: measure} + - {column: L, row: 1091, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1092 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1092, expected_value: E92000001, label: geography} + - {column: D, row: 1092, expected_value: All persons, label: sex} + - {column: E, row: 1092, expected_value: Self-employed, label: employment type} + - {column: J, row: 1092, expected_value: Value, label: measure} + - {column: L, row: 1093, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1094 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1094, expected_value: E92000001, label: geography} + - {column: D, row: 1094, expected_value: All persons, label: sex} + - {column: E, row: 1094, expected_value: Self-employed, label: employment type} + - {column: J, row: 1094, expected_value: Value, label: measure} + - {column: L, row: 1095, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1096 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1096, expected_value: E92000001, label: geography} + - {column: D, row: 1096, expected_value: All persons, label: sex} + - {column: E, row: 1096, expected_value: Self-employed, label: employment type} + - {column: J, row: 1096, expected_value: Value, label: measure} + - {column: L, row: 1097, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1098 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1098, expected_value: E92000001, label: geography} + - {column: D, row: 1098, expected_value: All persons, label: sex} + - {column: E, row: 1098, expected_value: Self-employed, label: employment type} + - {column: J, row: 1098, expected_value: Value, label: measure} + - {column: L, row: 1099, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1100 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1100, expected_value: E92000001, label: geography} + - {column: D, row: 1100, expected_value: All persons, label: sex} + - {column: E, row: 1100, expected_value: Self-employed, label: employment type} + - {column: J, row: 1100, expected_value: Value, label: measure} + - {column: L, row: 1101, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1102 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1102, expected_value: E92000001, label: geography} + - {column: D, row: 1102, expected_value: All persons, label: sex} + - {column: E, row: 1102, expected_value: Self-employed, label: employment type} + - {column: J, row: 1102, expected_value: Value, label: measure} + - {column: L, row: 1103, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1104 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1104, expected_value: E92000001, label: geography} + - {column: D, row: 1104, expected_value: All persons, label: sex} + - {column: E, row: 1104, expected_value: Self-employed, label: employment type} + - {column: J, row: 1104, expected_value: Value, label: measure} + - {column: L, row: 1105, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1106 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1106, expected_value: E92000001, label: geography} + - {column: D, row: 1106, expected_value: All persons, label: sex} + - {column: E, row: 1106, expected_value: Self-employed, label: employment type} + - {column: J, row: 1106, expected_value: Value, label: measure} + - {column: L, row: 1107, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1108 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1108, expected_value: E92000001, label: geography} + - {column: D, row: 1108, expected_value: All persons, label: sex} + - {column: E, row: 1108, expected_value: Self-employed, label: employment type} + - {column: J, row: 1108, expected_value: Value, label: measure} + - {column: L, row: 1109, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1110 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1110, expected_value: E92000001, label: geography} + - {column: D, row: 1110, expected_value: All persons, label: sex} + - {column: E, row: 1110, expected_value: Self-employed, label: employment type} + - {column: J, row: 1110, expected_value: Value, label: measure} + - {column: L, row: 1111, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1112 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1112, expected_value: E92000001, label: geography} + - {column: D, row: 1112, expected_value: All persons, label: sex} + - {column: E, row: 1112, expected_value: Self-employed, label: employment type} + - {column: J, row: 1112, expected_value: Value, label: measure} + - {column: L, row: 1113, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1114 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1114, expected_value: E92000001, label: geography} + - {column: D, row: 1114, expected_value: All persons, label: sex} + - {column: E, row: 1114, expected_value: Self-employed, label: employment type} + - {column: J, row: 1114, expected_value: Value, label: measure} + - {column: L, row: 1115, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1116 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1116, expected_value: E92000001, label: geography} + - {column: D, row: 1116, expected_value: All persons, label: sex} + - {column: E, row: 1116, expected_value: Self-employed, label: employment type} + - {column: J, row: 1116, expected_value: Value, label: measure} + - {column: L, row: 1117, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1118 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1118, expected_value: E92000001, label: geography} + - {column: D, row: 1118, expected_value: All persons, label: sex} + - {column: E, row: 1118, expected_value: Self-employed, label: employment type} + - {column: J, row: 1118, expected_value: Value, label: measure} + - {column: L, row: 1119, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1120 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1120, expected_value: E92000001, label: geography} + - {column: D, row: 1120, expected_value: All persons, label: sex} + - {column: E, row: 1120, expected_value: Self-employed, label: employment type} + - {column: J, row: 1120, expected_value: Value, label: measure} + - {column: L, row: 1121, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1122 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1122, expected_value: E92000001, label: geography} + - {column: D, row: 1122, expected_value: All persons, label: sex} + - {column: E, row: 1122, expected_value: Self-employed, label: employment type} + - {column: J, row: 1122, expected_value: Value, label: measure} + - {column: L, row: 1123, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1124 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1124, expected_value: E92000001, label: geography} + - {column: D, row: 1124, expected_value: All persons, label: sex} + - {column: E, row: 1124, expected_value: Self-employed, label: employment type} + - {column: J, row: 1124, expected_value: Value, label: measure} + - {column: L, row: 1125, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1126 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1126, expected_value: E92000001, label: geography} + - {column: D, row: 1126, expected_value: All persons, label: sex} + - {column: E, row: 1126, expected_value: Self-employed, label: employment type} + - {column: J, row: 1126, expected_value: Value, label: measure} + - {column: L, row: 1127, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1128 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1128, expected_value: E92000001, label: geography} + - {column: D, row: 1128, expected_value: All persons, label: sex} + - {column: E, row: 1128, expected_value: Self-employed, label: employment type} + - {column: J, row: 1128, expected_value: Value, label: measure} + - {column: L, row: 1129, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1130 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1130, expected_value: E92000001, label: geography} + - {column: D, row: 1130, expected_value: All persons, label: sex} + - {column: E, row: 1130, expected_value: Self-employed, label: employment type} + - {column: J, row: 1130, expected_value: Value, label: measure} + - {column: L, row: 1131, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1132 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1132, expected_value: E92000001, label: geography} + - {column: D, row: 1132, expected_value: All persons, label: sex} + - {column: E, row: 1132, expected_value: Self-employed, label: employment type} + - {column: J, row: 1132, expected_value: Value, label: measure} + - {column: L, row: 1133, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1136 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1136, expected_value: E92000001, label: geography} + - {column: D, row: 1136, expected_value: All persons, label: sex} + - {column: E, row: 1136, expected_value: Self-employed, label: employment type} + - {column: J, row: 1136, expected_value: Value, label: measure} + - {column: L, row: 1137, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1138 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1138, expected_value: E92000001, label: geography} + - {column: D, row: 1138, expected_value: All persons, label: sex} + - {column: E, row: 1138, expected_value: Self-employed, label: employment type} + - {column: J, row: 1138, expected_value: Value, label: measure} + - {column: L, row: 1139, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1140 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1140, expected_value: E92000001, label: geography} + - {column: D, row: 1140, expected_value: All persons, label: sex} + - {column: E, row: 1140, expected_value: Self-employed, label: employment type} + - {column: J, row: 1140, expected_value: Value, label: measure} + - {column: L, row: 1141, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1142 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1142, expected_value: E92000001, label: geography} + - {column: D, row: 1142, expected_value: All persons, label: sex} + - {column: E, row: 1142, expected_value: Self-employed, label: employment type} + - {column: J, row: 1142, expected_value: Value, label: measure} + - {column: L, row: 1143, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1144 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1144, expected_value: E92000001, label: geography} + - {column: D, row: 1144, expected_value: All persons, label: sex} + - {column: E, row: 1144, expected_value: Self-employed, label: employment type} + - {column: J, row: 1144, expected_value: Value, label: measure} + - {column: L, row: 1145, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1146 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1146, expected_value: E92000001, label: geography} + - {column: D, row: 1146, expected_value: All persons, label: sex} + - {column: E, row: 1146, expected_value: Self-employed, label: employment type} + - {column: J, row: 1146, expected_value: Value, label: measure} + - {column: L, row: 1147, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1148 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1148, expected_value: E92000001, label: geography} + - {column: D, row: 1148, expected_value: All persons, label: sex} + - {column: E, row: 1148, expected_value: Self-employed, label: employment type} + - {column: J, row: 1148, expected_value: Value, label: measure} + - {column: L, row: 1149, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1150 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1150, expected_value: E92000001, label: geography} + - {column: D, row: 1150, expected_value: All persons, label: sex} + - {column: E, row: 1150, expected_value: Self-employed, label: employment type} + - {column: J, row: 1150, expected_value: Value, label: measure} + - {column: L, row: 1151, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1152 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1152, expected_value: E92000001, label: geography} + - {column: D, row: 1152, expected_value: All persons, label: sex} + - {column: E, row: 1152, expected_value: Self-employed, label: employment type} + - {column: J, row: 1152, expected_value: Value, label: measure} + - {column: L, row: 1153, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1083 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1083, expected_value: E92000001, label: geography} + - {column: D, row: 1083, expected_value: All persons, label: sex} + - {column: E, row: 1083, expected_value: Self-employed, label: employment type} + - {column: J, row: 1083, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1085 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1085, expected_value: E92000001, label: geography} + - {column: D, row: 1085, expected_value: All persons, label: sex} + - {column: E, row: 1085, expected_value: Self-employed, label: employment type} + - {column: J, row: 1085, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1087 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1087, expected_value: E92000001, label: geography} + - {column: D, row: 1087, expected_value: All persons, label: sex} + - {column: E, row: 1087, expected_value: Self-employed, label: employment type} + - {column: J, row: 1087, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1089 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1089, expected_value: E92000001, label: geography} + - {column: D, row: 1089, expected_value: All persons, label: sex} + - {column: E, row: 1089, expected_value: Self-employed, label: employment type} + - {column: J, row: 1089, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1091 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1091, expected_value: E92000001, label: geography} + - {column: D, row: 1091, expected_value: All persons, label: sex} + - {column: E, row: 1091, expected_value: Self-employed, label: employment type} + - {column: J, row: 1091, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1093 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1093, expected_value: E92000001, label: geography} + - {column: D, row: 1093, expected_value: All persons, label: sex} + - {column: E, row: 1093, expected_value: Self-employed, label: employment type} + - {column: J, row: 1093, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1095 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1095, expected_value: E92000001, label: geography} + - {column: D, row: 1095, expected_value: All persons, label: sex} + - {column: E, row: 1095, expected_value: Self-employed, label: employment type} + - {column: J, row: 1095, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1097 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1097, expected_value: E92000001, label: geography} + - {column: D, row: 1097, expected_value: All persons, label: sex} + - {column: E, row: 1097, expected_value: Self-employed, label: employment type} + - {column: J, row: 1097, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1099 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1099, expected_value: E92000001, label: geography} + - {column: D, row: 1099, expected_value: All persons, label: sex} + - {column: E, row: 1099, expected_value: Self-employed, label: employment type} + - {column: J, row: 1099, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1101 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1101, expected_value: E92000001, label: geography} + - {column: D, row: 1101, expected_value: All persons, label: sex} + - {column: E, row: 1101, expected_value: Self-employed, label: employment type} + - {column: J, row: 1101, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1103 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1103, expected_value: E92000001, label: geography} + - {column: D, row: 1103, expected_value: All persons, label: sex} + - {column: E, row: 1103, expected_value: Self-employed, label: employment type} + - {column: J, row: 1103, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1105 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1105, expected_value: E92000001, label: geography} + - {column: D, row: 1105, expected_value: All persons, label: sex} + - {column: E, row: 1105, expected_value: Self-employed, label: employment type} + - {column: J, row: 1105, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1107 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1107, expected_value: E92000001, label: geography} + - {column: D, row: 1107, expected_value: All persons, label: sex} + - {column: E, row: 1107, expected_value: Self-employed, label: employment type} + - {column: J, row: 1107, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1109 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1109, expected_value: E92000001, label: geography} + - {column: D, row: 1109, expected_value: All persons, label: sex} + - {column: E, row: 1109, expected_value: Self-employed, label: employment type} + - {column: J, row: 1109, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1111 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1111, expected_value: E92000001, label: geography} + - {column: D, row: 1111, expected_value: All persons, label: sex} + - {column: E, row: 1111, expected_value: Self-employed, label: employment type} + - {column: J, row: 1111, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1113 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1113, expected_value: E92000001, label: geography} + - {column: D, row: 1113, expected_value: All persons, label: sex} + - {column: E, row: 1113, expected_value: Self-employed, label: employment type} + - {column: J, row: 1113, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1115 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1115, expected_value: E92000001, label: geography} + - {column: D, row: 1115, expected_value: All persons, label: sex} + - {column: E, row: 1115, expected_value: Self-employed, label: employment type} + - {column: J, row: 1115, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1117 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1117, expected_value: E92000001, label: geography} + - {column: D, row: 1117, expected_value: All persons, label: sex} + - {column: E, row: 1117, expected_value: Self-employed, label: employment type} + - {column: J, row: 1117, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1119 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1119, expected_value: E92000001, label: geography} + - {column: D, row: 1119, expected_value: All persons, label: sex} + - {column: E, row: 1119, expected_value: Self-employed, label: employment type} + - {column: J, row: 1119, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1121 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1121, expected_value: E92000001, label: geography} + - {column: D, row: 1121, expected_value: All persons, label: sex} + - {column: E, row: 1121, expected_value: Self-employed, label: employment type} + - {column: J, row: 1121, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1123 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1123, expected_value: E92000001, label: geography} + - {column: D, row: 1123, expected_value: All persons, label: sex} + - {column: E, row: 1123, expected_value: Self-employed, label: employment type} + - {column: J, row: 1123, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1125 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1125, expected_value: E92000001, label: geography} + - {column: D, row: 1125, expected_value: All persons, label: sex} + - {column: E, row: 1125, expected_value: Self-employed, label: employment type} + - {column: J, row: 1125, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1127 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1127, expected_value: E92000001, label: geography} + - {column: D, row: 1127, expected_value: All persons, label: sex} + - {column: E, row: 1127, expected_value: Self-employed, label: employment type} + - {column: J, row: 1127, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1129 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1129, expected_value: E92000001, label: geography} + - {column: D, row: 1129, expected_value: All persons, label: sex} + - {column: E, row: 1129, expected_value: Self-employed, label: employment type} + - {column: J, row: 1129, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1131 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1131, expected_value: E92000001, label: geography} + - {column: D, row: 1131, expected_value: All persons, label: sex} + - {column: E, row: 1131, expected_value: Self-employed, label: employment type} + - {column: J, row: 1131, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1133 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1133, expected_value: E92000001, label: geography} + - {column: D, row: 1133, expected_value: All persons, label: sex} + - {column: E, row: 1133, expected_value: Self-employed, label: employment type} + - {column: J, row: 1133, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1137 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1137, expected_value: E92000001, label: geography} + - {column: D, row: 1137, expected_value: All persons, label: sex} + - {column: E, row: 1137, expected_value: Self-employed, label: employment type} + - {column: J, row: 1137, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1139 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1139, expected_value: E92000001, label: geography} + - {column: D, row: 1139, expected_value: All persons, label: sex} + - {column: E, row: 1139, expected_value: Self-employed, label: employment type} + - {column: J, row: 1139, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1141 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1141, expected_value: E92000001, label: geography} + - {column: D, row: 1141, expected_value: All persons, label: sex} + - {column: E, row: 1141, expected_value: Self-employed, label: employment type} + - {column: J, row: 1141, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1143 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1143, expected_value: E92000001, label: geography} + - {column: D, row: 1143, expected_value: All persons, label: sex} + - {column: E, row: 1143, expected_value: Self-employed, label: employment type} + - {column: J, row: 1143, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1145 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1145, expected_value: E92000001, label: geography} + - {column: D, row: 1145, expected_value: All persons, label: sex} + - {column: E, row: 1145, expected_value: Self-employed, label: employment type} + - {column: J, row: 1145, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1147 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1147, expected_value: E92000001, label: geography} + - {column: D, row: 1147, expected_value: All persons, label: sex} + - {column: E, row: 1147, expected_value: Self-employed, label: employment type} + - {column: J, row: 1147, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1149 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1149, expected_value: E92000001, label: geography} + - {column: D, row: 1149, expected_value: All persons, label: sex} + - {column: E, row: 1149, expected_value: Self-employed, label: employment type} + - {column: J, row: 1149, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1151 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1151, expected_value: E92000001, label: geography} + - {column: D, row: 1151, expected_value: All persons, label: sex} + - {column: E, row: 1151, expected_value: Self-employed, label: employment type} + - {column: J, row: 1151, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1153 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1153, expected_value: E92000001, label: geography} + - {column: D, row: 1153, expected_value: All persons, label: sex} + - {column: E, row: 1153, expected_value: Self-employed, label: employment type} + - {column: J, row: 1153, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 722 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 722, expected_value: E92000001, label: geography} + - {column: D, row: 722, expected_value: Males, label: sex} + - {column: E, row: 722, expected_value: Total, label: employment type} + - {column: J, row: 722, expected_value: Value, label: measure} + - {column: L, row: 723, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 724 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 724, expected_value: E92000001, label: geography} + - {column: D, row: 724, expected_value: Males, label: sex} + - {column: E, row: 724, expected_value: Total, label: employment type} + - {column: J, row: 724, expected_value: Value, label: measure} + - {column: L, row: 725, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 726 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 726, expected_value: E92000001, label: geography} + - {column: D, row: 726, expected_value: Males, label: sex} + - {column: E, row: 726, expected_value: Total, label: employment type} + - {column: J, row: 726, expected_value: Value, label: measure} + - {column: L, row: 727, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 728 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 728, expected_value: E92000001, label: geography} + - {column: D, row: 728, expected_value: Males, label: sex} + - {column: E, row: 728, expected_value: Total, label: employment type} + - {column: J, row: 728, expected_value: Value, label: measure} + - {column: L, row: 729, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 730 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 730, expected_value: E92000001, label: geography} + - {column: D, row: 730, expected_value: Males, label: sex} + - {column: E, row: 730, expected_value: Total, label: employment type} + - {column: J, row: 730, expected_value: Value, label: measure} + - {column: L, row: 731, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 732 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 732, expected_value: E92000001, label: geography} + - {column: D, row: 732, expected_value: Males, label: sex} + - {column: E, row: 732, expected_value: Total, label: employment type} + - {column: J, row: 732, expected_value: Value, label: measure} + - {column: L, row: 733, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 734 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 734, expected_value: E92000001, label: geography} + - {column: D, row: 734, expected_value: Males, label: sex} + - {column: E, row: 734, expected_value: Total, label: employment type} + - {column: J, row: 734, expected_value: Value, label: measure} + - {column: L, row: 735, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 736 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 736, expected_value: E92000001, label: geography} + - {column: D, row: 736, expected_value: Males, label: sex} + - {column: E, row: 736, expected_value: Total, label: employment type} + - {column: J, row: 736, expected_value: Value, label: measure} + - {column: L, row: 737, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 738 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 738, expected_value: E92000001, label: geography} + - {column: D, row: 738, expected_value: Males, label: sex} + - {column: E, row: 738, expected_value: Total, label: employment type} + - {column: J, row: 738, expected_value: Value, label: measure} + - {column: L, row: 739, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 740 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 740, expected_value: E92000001, label: geography} + - {column: D, row: 740, expected_value: Males, label: sex} + - {column: E, row: 740, expected_value: Total, label: employment type} + - {column: J, row: 740, expected_value: Value, label: measure} + - {column: L, row: 741, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 742 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 742, expected_value: E92000001, label: geography} + - {column: D, row: 742, expected_value: Males, label: sex} + - {column: E, row: 742, expected_value: Total, label: employment type} + - {column: J, row: 742, expected_value: Value, label: measure} + - {column: L, row: 743, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 744 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 744, expected_value: E92000001, label: geography} + - {column: D, row: 744, expected_value: Males, label: sex} + - {column: E, row: 744, expected_value: Total, label: employment type} + - {column: J, row: 744, expected_value: Value, label: measure} + - {column: L, row: 745, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 746 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 746, expected_value: E92000001, label: geography} + - {column: D, row: 746, expected_value: Males, label: sex} + - {column: E, row: 746, expected_value: Total, label: employment type} + - {column: J, row: 746, expected_value: Value, label: measure} + - {column: L, row: 747, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 748 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 748, expected_value: E92000001, label: geography} + - {column: D, row: 748, expected_value: Males, label: sex} + - {column: E, row: 748, expected_value: Total, label: employment type} + - {column: J, row: 748, expected_value: Value, label: measure} + - {column: L, row: 749, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 750 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 750, expected_value: E92000001, label: geography} + - {column: D, row: 750, expected_value: Males, label: sex} + - {column: E, row: 750, expected_value: Total, label: employment type} + - {column: J, row: 750, expected_value: Value, label: measure} + - {column: L, row: 751, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 752 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 752, expected_value: E92000001, label: geography} + - {column: D, row: 752, expected_value: Males, label: sex} + - {column: E, row: 752, expected_value: Total, label: employment type} + - {column: J, row: 752, expected_value: Value, label: measure} + - {column: L, row: 753, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 754 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 754, expected_value: E92000001, label: geography} + - {column: D, row: 754, expected_value: Males, label: sex} + - {column: E, row: 754, expected_value: Total, label: employment type} + - {column: J, row: 754, expected_value: Value, label: measure} + - {column: L, row: 755, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 756 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 756, expected_value: E92000001, label: geography} + - {column: D, row: 756, expected_value: Males, label: sex} + - {column: E, row: 756, expected_value: Total, label: employment type} + - {column: J, row: 756, expected_value: Value, label: measure} + - {column: L, row: 757, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 758 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 758, expected_value: E92000001, label: geography} + - {column: D, row: 758, expected_value: Males, label: sex} + - {column: E, row: 758, expected_value: Total, label: employment type} + - {column: J, row: 758, expected_value: Value, label: measure} + - {column: L, row: 759, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 760 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 760, expected_value: E92000001, label: geography} + - {column: D, row: 760, expected_value: Males, label: sex} + - {column: E, row: 760, expected_value: Total, label: employment type} + - {column: J, row: 760, expected_value: Value, label: measure} + - {column: L, row: 761, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 762 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 762, expected_value: E92000001, label: geography} + - {column: D, row: 762, expected_value: Males, label: sex} + - {column: E, row: 762, expected_value: Total, label: employment type} + - {column: J, row: 762, expected_value: Value, label: measure} + - {column: L, row: 763, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 764 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 764, expected_value: E92000001, label: geography} + - {column: D, row: 764, expected_value: Males, label: sex} + - {column: E, row: 764, expected_value: Total, label: employment type} + - {column: J, row: 764, expected_value: Value, label: measure} + - {column: L, row: 765, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 766 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 766, expected_value: E92000001, label: geography} + - {column: D, row: 766, expected_value: Males, label: sex} + - {column: E, row: 766, expected_value: Total, label: employment type} + - {column: J, row: 766, expected_value: Value, label: measure} + - {column: L, row: 767, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 768 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 768, expected_value: E92000001, label: geography} + - {column: D, row: 768, expected_value: Males, label: sex} + - {column: E, row: 768, expected_value: Total, label: employment type} + - {column: J, row: 768, expected_value: Value, label: measure} + - {column: L, row: 769, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 770 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 770, expected_value: E92000001, label: geography} + - {column: D, row: 770, expected_value: Males, label: sex} + - {column: E, row: 770, expected_value: Total, label: employment type} + - {column: J, row: 770, expected_value: Value, label: measure} + - {column: L, row: 771, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 772 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 772, expected_value: E92000001, label: geography} + - {column: D, row: 772, expected_value: Males, label: sex} + - {column: E, row: 772, expected_value: Total, label: employment type} + - {column: J, row: 772, expected_value: Value, label: measure} + - {column: L, row: 773, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 774 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 774, expected_value: E92000001, label: geography} + - {column: D, row: 774, expected_value: Males, label: sex} + - {column: E, row: 774, expected_value: Total, label: employment type} + - {column: J, row: 774, expected_value: Value, label: measure} + - {column: L, row: 775, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 776 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 776, expected_value: E92000001, label: geography} + - {column: D, row: 776, expected_value: Males, label: sex} + - {column: E, row: 776, expected_value: Total, label: employment type} + - {column: J, row: 776, expected_value: Value, label: measure} + - {column: L, row: 777, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 778 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 778, expected_value: E92000001, label: geography} + - {column: D, row: 778, expected_value: Males, label: sex} + - {column: E, row: 778, expected_value: Total, label: employment type} + - {column: J, row: 778, expected_value: Value, label: measure} + - {column: L, row: 779, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 780 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 780, expected_value: E92000001, label: geography} + - {column: D, row: 780, expected_value: Males, label: sex} + - {column: E, row: 780, expected_value: Total, label: employment type} + - {column: J, row: 780, expected_value: Value, label: measure} + - {column: L, row: 781, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 782 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 782, expected_value: E92000001, label: geography} + - {column: D, row: 782, expected_value: Males, label: sex} + - {column: E, row: 782, expected_value: Total, label: employment type} + - {column: J, row: 782, expected_value: Value, label: measure} + - {column: L, row: 783, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 784 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 784, expected_value: E92000001, label: geography} + - {column: D, row: 784, expected_value: Males, label: sex} + - {column: E, row: 784, expected_value: Total, label: employment type} + - {column: J, row: 784, expected_value: Value, label: measure} + - {column: L, row: 785, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 786 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 786, expected_value: E92000001, label: geography} + - {column: D, row: 786, expected_value: Males, label: sex} + - {column: E, row: 786, expected_value: Total, label: employment type} + - {column: J, row: 786, expected_value: Value, label: measure} + - {column: L, row: 787, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 788 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 788, expected_value: E92000001, label: geography} + - {column: D, row: 788, expected_value: Males, label: sex} + - {column: E, row: 788, expected_value: Total, label: employment type} + - {column: J, row: 788, expected_value: Value, label: measure} + - {column: L, row: 789, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 790 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 790, expected_value: E92000001, label: geography} + - {column: D, row: 790, expected_value: Males, label: sex} + - {column: E, row: 790, expected_value: Total, label: employment type} + - {column: J, row: 790, expected_value: Value, label: measure} + - {column: L, row: 791, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 792 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 792, expected_value: E92000001, label: geography} + - {column: D, row: 792, expected_value: Males, label: sex} + - {column: E, row: 792, expected_value: Total, label: employment type} + - {column: J, row: 792, expected_value: Value, label: measure} + - {column: L, row: 793, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 723 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 723, expected_value: E92000001, label: geography} + - {column: D, row: 723, expected_value: Males, label: sex} + - {column: E, row: 723, expected_value: Total, label: employment type} + - {column: J, row: 723, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 725 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 725, expected_value: E92000001, label: geography} + - {column: D, row: 725, expected_value: Males, label: sex} + - {column: E, row: 725, expected_value: Total, label: employment type} + - {column: J, row: 725, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 727 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 727, expected_value: E92000001, label: geography} + - {column: D, row: 727, expected_value: Males, label: sex} + - {column: E, row: 727, expected_value: Total, label: employment type} + - {column: J, row: 727, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 729 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 729, expected_value: E92000001, label: geography} + - {column: D, row: 729, expected_value: Males, label: sex} + - {column: E, row: 729, expected_value: Total, label: employment type} + - {column: J, row: 729, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 731 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 731, expected_value: E92000001, label: geography} + - {column: D, row: 731, expected_value: Males, label: sex} + - {column: E, row: 731, expected_value: Total, label: employment type} + - {column: J, row: 731, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 733 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 733, expected_value: E92000001, label: geography} + - {column: D, row: 733, expected_value: Males, label: sex} + - {column: E, row: 733, expected_value: Total, label: employment type} + - {column: J, row: 733, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 735 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 735, expected_value: E92000001, label: geography} + - {column: D, row: 735, expected_value: Males, label: sex} + - {column: E, row: 735, expected_value: Total, label: employment type} + - {column: J, row: 735, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 737 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 737, expected_value: E92000001, label: geography} + - {column: D, row: 737, expected_value: Males, label: sex} + - {column: E, row: 737, expected_value: Total, label: employment type} + - {column: J, row: 737, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 739 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 739, expected_value: E92000001, label: geography} + - {column: D, row: 739, expected_value: Males, label: sex} + - {column: E, row: 739, expected_value: Total, label: employment type} + - {column: J, row: 739, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 741 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 741, expected_value: E92000001, label: geography} + - {column: D, row: 741, expected_value: Males, label: sex} + - {column: E, row: 741, expected_value: Total, label: employment type} + - {column: J, row: 741, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 743 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 743, expected_value: E92000001, label: geography} + - {column: D, row: 743, expected_value: Males, label: sex} + - {column: E, row: 743, expected_value: Total, label: employment type} + - {column: J, row: 743, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 745 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 745, expected_value: E92000001, label: geography} + - {column: D, row: 745, expected_value: Males, label: sex} + - {column: E, row: 745, expected_value: Total, label: employment type} + - {column: J, row: 745, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 747 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 747, expected_value: E92000001, label: geography} + - {column: D, row: 747, expected_value: Males, label: sex} + - {column: E, row: 747, expected_value: Total, label: employment type} + - {column: J, row: 747, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 749 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 749, expected_value: E92000001, label: geography} + - {column: D, row: 749, expected_value: Males, label: sex} + - {column: E, row: 749, expected_value: Total, label: employment type} + - {column: J, row: 749, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 751 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 751, expected_value: E92000001, label: geography} + - {column: D, row: 751, expected_value: Males, label: sex} + - {column: E, row: 751, expected_value: Total, label: employment type} + - {column: J, row: 751, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 753 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 753, expected_value: E92000001, label: geography} + - {column: D, row: 753, expected_value: Males, label: sex} + - {column: E, row: 753, expected_value: Total, label: employment type} + - {column: J, row: 753, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 755 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 755, expected_value: E92000001, label: geography} + - {column: D, row: 755, expected_value: Males, label: sex} + - {column: E, row: 755, expected_value: Total, label: employment type} + - {column: J, row: 755, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 757 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 757, expected_value: E92000001, label: geography} + - {column: D, row: 757, expected_value: Males, label: sex} + - {column: E, row: 757, expected_value: Total, label: employment type} + - {column: J, row: 757, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 759 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 759, expected_value: E92000001, label: geography} + - {column: D, row: 759, expected_value: Males, label: sex} + - {column: E, row: 759, expected_value: Total, label: employment type} + - {column: J, row: 759, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 761 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 761, expected_value: E92000001, label: geography} + - {column: D, row: 761, expected_value: Males, label: sex} + - {column: E, row: 761, expected_value: Total, label: employment type} + - {column: J, row: 761, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 763 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 763, expected_value: E92000001, label: geography} + - {column: D, row: 763, expected_value: Males, label: sex} + - {column: E, row: 763, expected_value: Total, label: employment type} + - {column: J, row: 763, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 765 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 765, expected_value: E92000001, label: geography} + - {column: D, row: 765, expected_value: Males, label: sex} + - {column: E, row: 765, expected_value: Total, label: employment type} + - {column: J, row: 765, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 767 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 767, expected_value: E92000001, label: geography} + - {column: D, row: 767, expected_value: Males, label: sex} + - {column: E, row: 767, expected_value: Total, label: employment type} + - {column: J, row: 767, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 769 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 769, expected_value: E92000001, label: geography} + - {column: D, row: 769, expected_value: Males, label: sex} + - {column: E, row: 769, expected_value: Total, label: employment type} + - {column: J, row: 769, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 771 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 771, expected_value: E92000001, label: geography} + - {column: D, row: 771, expected_value: Males, label: sex} + - {column: E, row: 771, expected_value: Total, label: employment type} + - {column: J, row: 771, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 773 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 773, expected_value: E92000001, label: geography} + - {column: D, row: 773, expected_value: Males, label: sex} + - {column: E, row: 773, expected_value: Total, label: employment type} + - {column: J, row: 773, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 775 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 775, expected_value: E92000001, label: geography} + - {column: D, row: 775, expected_value: Males, label: sex} + - {column: E, row: 775, expected_value: Total, label: employment type} + - {column: J, row: 775, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 777 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 777, expected_value: E92000001, label: geography} + - {column: D, row: 777, expected_value: Males, label: sex} + - {column: E, row: 777, expected_value: Total, label: employment type} + - {column: J, row: 777, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 779 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 779, expected_value: E92000001, label: geography} + - {column: D, row: 779, expected_value: Males, label: sex} + - {column: E, row: 779, expected_value: Total, label: employment type} + - {column: J, row: 779, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 781 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 781, expected_value: E92000001, label: geography} + - {column: D, row: 781, expected_value: Males, label: sex} + - {column: E, row: 781, expected_value: Total, label: employment type} + - {column: J, row: 781, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 783 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 783, expected_value: E92000001, label: geography} + - {column: D, row: 783, expected_value: Males, label: sex} + - {column: E, row: 783, expected_value: Total, label: employment type} + - {column: J, row: 783, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 785 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 785, expected_value: E92000001, label: geography} + - {column: D, row: 785, expected_value: Males, label: sex} + - {column: E, row: 785, expected_value: Total, label: employment type} + - {column: J, row: 785, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 787 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 787, expected_value: E92000001, label: geography} + - {column: D, row: 787, expected_value: Males, label: sex} + - {column: E, row: 787, expected_value: Total, label: employment type} + - {column: J, row: 787, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 789 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 789, expected_value: E92000001, label: geography} + - {column: D, row: 789, expected_value: Males, label: sex} + - {column: E, row: 789, expected_value: Total, label: employment type} + - {column: J, row: 789, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 791 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 791, expected_value: E92000001, label: geography} + - {column: D, row: 791, expected_value: Males, label: sex} + - {column: E, row: 791, expected_value: Total, label: employment type} + - {column: J, row: 791, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 793 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 793, expected_value: E92000001, label: geography} + - {column: D, row: 793, expected_value: Males, label: sex} + - {column: E, row: 793, expected_value: Total, label: employment type} + - {column: J, row: 793, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 938 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 938, expected_value: E92000001, label: geography} + - {column: D, row: 938, expected_value: Males, label: sex} + - {column: E, row: 938, expected_value: Employee, label: employment type} + - {column: J, row: 938, expected_value: Value, label: measure} + - {column: L, row: 939, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 940 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 940, expected_value: E92000001, label: geography} + - {column: D, row: 940, expected_value: Males, label: sex} + - {column: E, row: 940, expected_value: Employee, label: employment type} + - {column: J, row: 940, expected_value: Value, label: measure} + - {column: L, row: 941, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 942 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 942, expected_value: E92000001, label: geography} + - {column: D, row: 942, expected_value: Males, label: sex} + - {column: E, row: 942, expected_value: Employee, label: employment type} + - {column: J, row: 942, expected_value: Value, label: measure} + - {column: L, row: 943, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 944 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 944, expected_value: E92000001, label: geography} + - {column: D, row: 944, expected_value: Males, label: sex} + - {column: E, row: 944, expected_value: Employee, label: employment type} + - {column: J, row: 944, expected_value: Value, label: measure} + - {column: L, row: 945, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 946 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 946, expected_value: E92000001, label: geography} + - {column: D, row: 946, expected_value: Males, label: sex} + - {column: E, row: 946, expected_value: Employee, label: employment type} + - {column: J, row: 946, expected_value: Value, label: measure} + - {column: L, row: 947, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 948 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 948, expected_value: E92000001, label: geography} + - {column: D, row: 948, expected_value: Males, label: sex} + - {column: E, row: 948, expected_value: Employee, label: employment type} + - {column: J, row: 948, expected_value: Value, label: measure} + - {column: L, row: 949, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 950 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 950, expected_value: E92000001, label: geography} + - {column: D, row: 950, expected_value: Males, label: sex} + - {column: E, row: 950, expected_value: Employee, label: employment type} + - {column: J, row: 950, expected_value: Value, label: measure} + - {column: L, row: 951, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 952 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 952, expected_value: E92000001, label: geography} + - {column: D, row: 952, expected_value: Males, label: sex} + - {column: E, row: 952, expected_value: Employee, label: employment type} + - {column: J, row: 952, expected_value: Value, label: measure} + - {column: L, row: 953, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 954 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 954, expected_value: E92000001, label: geography} + - {column: D, row: 954, expected_value: Males, label: sex} + - {column: E, row: 954, expected_value: Employee, label: employment type} + - {column: J, row: 954, expected_value: Value, label: measure} + - {column: L, row: 955, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 956 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 956, expected_value: E92000001, label: geography} + - {column: D, row: 956, expected_value: Males, label: sex} + - {column: E, row: 956, expected_value: Employee, label: employment type} + - {column: J, row: 956, expected_value: Value, label: measure} + - {column: L, row: 957, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 958 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 958, expected_value: E92000001, label: geography} + - {column: D, row: 958, expected_value: Males, label: sex} + - {column: E, row: 958, expected_value: Employee, label: employment type} + - {column: J, row: 958, expected_value: Value, label: measure} + - {column: L, row: 959, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 960 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 960, expected_value: E92000001, label: geography} + - {column: D, row: 960, expected_value: Males, label: sex} + - {column: E, row: 960, expected_value: Employee, label: employment type} + - {column: J, row: 960, expected_value: Value, label: measure} + - {column: L, row: 961, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 962 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 962, expected_value: E92000001, label: geography} + - {column: D, row: 962, expected_value: Males, label: sex} + - {column: E, row: 962, expected_value: Employee, label: employment type} + - {column: J, row: 962, expected_value: Value, label: measure} + - {column: L, row: 963, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 964 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 964, expected_value: E92000001, label: geography} + - {column: D, row: 964, expected_value: Males, label: sex} + - {column: E, row: 964, expected_value: Employee, label: employment type} + - {column: J, row: 964, expected_value: Value, label: measure} + - {column: L, row: 965, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 966 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 966, expected_value: E92000001, label: geography} + - {column: D, row: 966, expected_value: Males, label: sex} + - {column: E, row: 966, expected_value: Employee, label: employment type} + - {column: J, row: 966, expected_value: Value, label: measure} + - {column: L, row: 967, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 968 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 968, expected_value: E92000001, label: geography} + - {column: D, row: 968, expected_value: Males, label: sex} + - {column: E, row: 968, expected_value: Employee, label: employment type} + - {column: J, row: 968, expected_value: Value, label: measure} + - {column: L, row: 969, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 970 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 970, expected_value: E92000001, label: geography} + - {column: D, row: 970, expected_value: Males, label: sex} + - {column: E, row: 970, expected_value: Employee, label: employment type} + - {column: J, row: 970, expected_value: Value, label: measure} + - {column: L, row: 971, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 972 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 972, expected_value: E92000001, label: geography} + - {column: D, row: 972, expected_value: Males, label: sex} + - {column: E, row: 972, expected_value: Employee, label: employment type} + - {column: J, row: 972, expected_value: Value, label: measure} + - {column: L, row: 973, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 974 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 974, expected_value: E92000001, label: geography} + - {column: D, row: 974, expected_value: Males, label: sex} + - {column: E, row: 974, expected_value: Employee, label: employment type} + - {column: J, row: 974, expected_value: Value, label: measure} + - {column: L, row: 975, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 976 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 976, expected_value: E92000001, label: geography} + - {column: D, row: 976, expected_value: Males, label: sex} + - {column: E, row: 976, expected_value: Employee, label: employment type} + - {column: J, row: 976, expected_value: Value, label: measure} + - {column: L, row: 977, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 978 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 978, expected_value: E92000001, label: geography} + - {column: D, row: 978, expected_value: Males, label: sex} + - {column: E, row: 978, expected_value: Employee, label: employment type} + - {column: J, row: 978, expected_value: Value, label: measure} + - {column: L, row: 979, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 980 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 980, expected_value: E92000001, label: geography} + - {column: D, row: 980, expected_value: Males, label: sex} + - {column: E, row: 980, expected_value: Employee, label: employment type} + - {column: J, row: 980, expected_value: Value, label: measure} + - {column: L, row: 981, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 982 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 982, expected_value: E92000001, label: geography} + - {column: D, row: 982, expected_value: Males, label: sex} + - {column: E, row: 982, expected_value: Employee, label: employment type} + - {column: J, row: 982, expected_value: Value, label: measure} + - {column: L, row: 983, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 984 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 984, expected_value: E92000001, label: geography} + - {column: D, row: 984, expected_value: Males, label: sex} + - {column: E, row: 984, expected_value: Employee, label: employment type} + - {column: J, row: 984, expected_value: Value, label: measure} + - {column: L, row: 985, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 986 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 986, expected_value: E92000001, label: geography} + - {column: D, row: 986, expected_value: Males, label: sex} + - {column: E, row: 986, expected_value: Employee, label: employment type} + - {column: J, row: 986, expected_value: Value, label: measure} + - {column: L, row: 987, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 988 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 988, expected_value: E92000001, label: geography} + - {column: D, row: 988, expected_value: Males, label: sex} + - {column: E, row: 988, expected_value: Employee, label: employment type} + - {column: J, row: 988, expected_value: Value, label: measure} + - {column: L, row: 989, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 990 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 990, expected_value: E92000001, label: geography} + - {column: D, row: 990, expected_value: Males, label: sex} + - {column: E, row: 990, expected_value: Employee, label: employment type} + - {column: J, row: 990, expected_value: Value, label: measure} + - {column: L, row: 991, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 992 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 992, expected_value: E92000001, label: geography} + - {column: D, row: 992, expected_value: Males, label: sex} + - {column: E, row: 992, expected_value: Employee, label: employment type} + - {column: J, row: 992, expected_value: Value, label: measure} + - {column: L, row: 993, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 994 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 994, expected_value: E92000001, label: geography} + - {column: D, row: 994, expected_value: Males, label: sex} + - {column: E, row: 994, expected_value: Employee, label: employment type} + - {column: J, row: 994, expected_value: Value, label: measure} + - {column: L, row: 995, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 996 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 996, expected_value: E92000001, label: geography} + - {column: D, row: 996, expected_value: Males, label: sex} + - {column: E, row: 996, expected_value: Employee, label: employment type} + - {column: J, row: 996, expected_value: Value, label: measure} + - {column: L, row: 997, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 998 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 998, expected_value: E92000001, label: geography} + - {column: D, row: 998, expected_value: Males, label: sex} + - {column: E, row: 998, expected_value: Employee, label: employment type} + - {column: J, row: 998, expected_value: Value, label: measure} + - {column: L, row: 999, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1000 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1000, expected_value: E92000001, label: geography} + - {column: D, row: 1000, expected_value: Males, label: sex} + - {column: E, row: 1000, expected_value: Employee, label: employment type} + - {column: J, row: 1000, expected_value: Value, label: measure} + - {column: L, row: 1001, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1002 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1002, expected_value: E92000001, label: geography} + - {column: D, row: 1002, expected_value: Males, label: sex} + - {column: E, row: 1002, expected_value: Employee, label: employment type} + - {column: J, row: 1002, expected_value: Value, label: measure} + - {column: L, row: 1003, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1004 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1004, expected_value: E92000001, label: geography} + - {column: D, row: 1004, expected_value: Males, label: sex} + - {column: E, row: 1004, expected_value: Employee, label: employment type} + - {column: J, row: 1004, expected_value: Value, label: measure} + - {column: L, row: 1005, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1006 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1006, expected_value: E92000001, label: geography} + - {column: D, row: 1006, expected_value: Males, label: sex} + - {column: E, row: 1006, expected_value: Employee, label: employment type} + - {column: J, row: 1006, expected_value: Value, label: measure} + - {column: L, row: 1007, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1008 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1008, expected_value: E92000001, label: geography} + - {column: D, row: 1008, expected_value: Males, label: sex} + - {column: E, row: 1008, expected_value: Employee, label: employment type} + - {column: J, row: 1008, expected_value: Value, label: measure} + - {column: L, row: 1009, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 939 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 939, expected_value: E92000001, label: geography} + - {column: D, row: 939, expected_value: Males, label: sex} + - {column: E, row: 939, expected_value: Employee, label: employment type} + - {column: J, row: 939, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 941 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 941, expected_value: E92000001, label: geography} + - {column: D, row: 941, expected_value: Males, label: sex} + - {column: E, row: 941, expected_value: Employee, label: employment type} + - {column: J, row: 941, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 943 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 943, expected_value: E92000001, label: geography} + - {column: D, row: 943, expected_value: Males, label: sex} + - {column: E, row: 943, expected_value: Employee, label: employment type} + - {column: J, row: 943, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 945 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 945, expected_value: E92000001, label: geography} + - {column: D, row: 945, expected_value: Males, label: sex} + - {column: E, row: 945, expected_value: Employee, label: employment type} + - {column: J, row: 945, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 947 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 947, expected_value: E92000001, label: geography} + - {column: D, row: 947, expected_value: Males, label: sex} + - {column: E, row: 947, expected_value: Employee, label: employment type} + - {column: J, row: 947, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 949 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 949, expected_value: E92000001, label: geography} + - {column: D, row: 949, expected_value: Males, label: sex} + - {column: E, row: 949, expected_value: Employee, label: employment type} + - {column: J, row: 949, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 951 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 951, expected_value: E92000001, label: geography} + - {column: D, row: 951, expected_value: Males, label: sex} + - {column: E, row: 951, expected_value: Employee, label: employment type} + - {column: J, row: 951, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 953 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 953, expected_value: E92000001, label: geography} + - {column: D, row: 953, expected_value: Males, label: sex} + - {column: E, row: 953, expected_value: Employee, label: employment type} + - {column: J, row: 953, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 955 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 955, expected_value: E92000001, label: geography} + - {column: D, row: 955, expected_value: Males, label: sex} + - {column: E, row: 955, expected_value: Employee, label: employment type} + - {column: J, row: 955, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 957 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 957, expected_value: E92000001, label: geography} + - {column: D, row: 957, expected_value: Males, label: sex} + - {column: E, row: 957, expected_value: Employee, label: employment type} + - {column: J, row: 957, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 959 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 959, expected_value: E92000001, label: geography} + - {column: D, row: 959, expected_value: Males, label: sex} + - {column: E, row: 959, expected_value: Employee, label: employment type} + - {column: J, row: 959, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 961 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 961, expected_value: E92000001, label: geography} + - {column: D, row: 961, expected_value: Males, label: sex} + - {column: E, row: 961, expected_value: Employee, label: employment type} + - {column: J, row: 961, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 963 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 963, expected_value: E92000001, label: geography} + - {column: D, row: 963, expected_value: Males, label: sex} + - {column: E, row: 963, expected_value: Employee, label: employment type} + - {column: J, row: 963, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 965 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 965, expected_value: E92000001, label: geography} + - {column: D, row: 965, expected_value: Males, label: sex} + - {column: E, row: 965, expected_value: Employee, label: employment type} + - {column: J, row: 965, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 967 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 967, expected_value: E92000001, label: geography} + - {column: D, row: 967, expected_value: Males, label: sex} + - {column: E, row: 967, expected_value: Employee, label: employment type} + - {column: J, row: 967, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 969 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 969, expected_value: E92000001, label: geography} + - {column: D, row: 969, expected_value: Males, label: sex} + - {column: E, row: 969, expected_value: Employee, label: employment type} + - {column: J, row: 969, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 971 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 971, expected_value: E92000001, label: geography} + - {column: D, row: 971, expected_value: Males, label: sex} + - {column: E, row: 971, expected_value: Employee, label: employment type} + - {column: J, row: 971, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 973 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 973, expected_value: E92000001, label: geography} + - {column: D, row: 973, expected_value: Males, label: sex} + - {column: E, row: 973, expected_value: Employee, label: employment type} + - {column: J, row: 973, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 975 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 975, expected_value: E92000001, label: geography} + - {column: D, row: 975, expected_value: Males, label: sex} + - {column: E, row: 975, expected_value: Employee, label: employment type} + - {column: J, row: 975, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 977 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 977, expected_value: E92000001, label: geography} + - {column: D, row: 977, expected_value: Males, label: sex} + - {column: E, row: 977, expected_value: Employee, label: employment type} + - {column: J, row: 977, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 979 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 979, expected_value: E92000001, label: geography} + - {column: D, row: 979, expected_value: Males, label: sex} + - {column: E, row: 979, expected_value: Employee, label: employment type} + - {column: J, row: 979, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 981 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 981, expected_value: E92000001, label: geography} + - {column: D, row: 981, expected_value: Males, label: sex} + - {column: E, row: 981, expected_value: Employee, label: employment type} + - {column: J, row: 981, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 983 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 983, expected_value: E92000001, label: geography} + - {column: D, row: 983, expected_value: Males, label: sex} + - {column: E, row: 983, expected_value: Employee, label: employment type} + - {column: J, row: 983, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 985 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 985, expected_value: E92000001, label: geography} + - {column: D, row: 985, expected_value: Males, label: sex} + - {column: E, row: 985, expected_value: Employee, label: employment type} + - {column: J, row: 985, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 987 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 987, expected_value: E92000001, label: geography} + - {column: D, row: 987, expected_value: Males, label: sex} + - {column: E, row: 987, expected_value: Employee, label: employment type} + - {column: J, row: 987, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 989 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 989, expected_value: E92000001, label: geography} + - {column: D, row: 989, expected_value: Males, label: sex} + - {column: E, row: 989, expected_value: Employee, label: employment type} + - {column: J, row: 989, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 991 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 991, expected_value: E92000001, label: geography} + - {column: D, row: 991, expected_value: Males, label: sex} + - {column: E, row: 991, expected_value: Employee, label: employment type} + - {column: J, row: 991, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 993 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 993, expected_value: E92000001, label: geography} + - {column: D, row: 993, expected_value: Males, label: sex} + - {column: E, row: 993, expected_value: Employee, label: employment type} + - {column: J, row: 993, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 995 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 995, expected_value: E92000001, label: geography} + - {column: D, row: 995, expected_value: Males, label: sex} + - {column: E, row: 995, expected_value: Employee, label: employment type} + - {column: J, row: 995, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 997 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 997, expected_value: E92000001, label: geography} + - {column: D, row: 997, expected_value: Males, label: sex} + - {column: E, row: 997, expected_value: Employee, label: employment type} + - {column: J, row: 997, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 999 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 999, expected_value: E92000001, label: geography} + - {column: D, row: 999, expected_value: Males, label: sex} + - {column: E, row: 999, expected_value: Employee, label: employment type} + - {column: J, row: 999, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1001 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1001, expected_value: E92000001, label: geography} + - {column: D, row: 1001, expected_value: Males, label: sex} + - {column: E, row: 1001, expected_value: Employee, label: employment type} + - {column: J, row: 1001, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1003 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1003, expected_value: E92000001, label: geography} + - {column: D, row: 1003, expected_value: Males, label: sex} + - {column: E, row: 1003, expected_value: Employee, label: employment type} + - {column: J, row: 1003, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1005 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1005, expected_value: E92000001, label: geography} + - {column: D, row: 1005, expected_value: Males, label: sex} + - {column: E, row: 1005, expected_value: Employee, label: employment type} + - {column: J, row: 1005, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1007 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1007, expected_value: E92000001, label: geography} + - {column: D, row: 1007, expected_value: Males, label: sex} + - {column: E, row: 1007, expected_value: Employee, label: employment type} + - {column: J, row: 1007, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1009 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1009, expected_value: E92000001, label: geography} + - {column: D, row: 1009, expected_value: Males, label: sex} + - {column: E, row: 1009, expected_value: Employee, label: employment type} + - {column: J, row: 1009, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1154 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1154, expected_value: E92000001, label: geography} + - {column: D, row: 1154, expected_value: Males, label: sex} + - {column: E, row: 1154, expected_value: Self-employed, label: employment type} + - {column: J, row: 1154, expected_value: Value, label: measure} + - {column: L, row: 1155, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1156 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1156, expected_value: E92000001, label: geography} + - {column: D, row: 1156, expected_value: Males, label: sex} + - {column: E, row: 1156, expected_value: Self-employed, label: employment type} + - {column: J, row: 1156, expected_value: Value, label: measure} + - {column: L, row: 1157, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1158 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1158, expected_value: E92000001, label: geography} + - {column: D, row: 1158, expected_value: Males, label: sex} + - {column: E, row: 1158, expected_value: Self-employed, label: employment type} + - {column: J, row: 1158, expected_value: Value, label: measure} + - {column: L, row: 1159, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1160 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1160, expected_value: E92000001, label: geography} + - {column: D, row: 1160, expected_value: Males, label: sex} + - {column: E, row: 1160, expected_value: Self-employed, label: employment type} + - {column: J, row: 1160, expected_value: Value, label: measure} + - {column: L, row: 1161, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1162 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1162, expected_value: E92000001, label: geography} + - {column: D, row: 1162, expected_value: Males, label: sex} + - {column: E, row: 1162, expected_value: Self-employed, label: employment type} + - {column: J, row: 1162, expected_value: Value, label: measure} + - {column: L, row: 1163, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1164 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1164, expected_value: E92000001, label: geography} + - {column: D, row: 1164, expected_value: Males, label: sex} + - {column: E, row: 1164, expected_value: Self-employed, label: employment type} + - {column: J, row: 1164, expected_value: Value, label: measure} + - {column: L, row: 1165, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1166 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1166, expected_value: E92000001, label: geography} + - {column: D, row: 1166, expected_value: Males, label: sex} + - {column: E, row: 1166, expected_value: Self-employed, label: employment type} + - {column: J, row: 1166, expected_value: Value, label: measure} + - {column: L, row: 1167, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1168 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1168, expected_value: E92000001, label: geography} + - {column: D, row: 1168, expected_value: Males, label: sex} + - {column: E, row: 1168, expected_value: Self-employed, label: employment type} + - {column: J, row: 1168, expected_value: Value, label: measure} + - {column: L, row: 1169, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1170 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1170, expected_value: E92000001, label: geography} + - {column: D, row: 1170, expected_value: Males, label: sex} + - {column: E, row: 1170, expected_value: Self-employed, label: employment type} + - {column: J, row: 1170, expected_value: Value, label: measure} + - {column: L, row: 1171, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1172 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1172, expected_value: E92000001, label: geography} + - {column: D, row: 1172, expected_value: Males, label: sex} + - {column: E, row: 1172, expected_value: Self-employed, label: employment type} + - {column: J, row: 1172, expected_value: Value, label: measure} + - {column: L, row: 1173, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1174 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1174, expected_value: E92000001, label: geography} + - {column: D, row: 1174, expected_value: Males, label: sex} + - {column: E, row: 1174, expected_value: Self-employed, label: employment type} + - {column: J, row: 1174, expected_value: Value, label: measure} + - {column: L, row: 1175, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1176 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1176, expected_value: E92000001, label: geography} + - {column: D, row: 1176, expected_value: Males, label: sex} + - {column: E, row: 1176, expected_value: Self-employed, label: employment type} + - {column: J, row: 1176, expected_value: Value, label: measure} + - {column: L, row: 1177, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1178 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1178, expected_value: E92000001, label: geography} + - {column: D, row: 1178, expected_value: Males, label: sex} + - {column: E, row: 1178, expected_value: Self-employed, label: employment type} + - {column: J, row: 1178, expected_value: Value, label: measure} + - {column: L, row: 1179, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1180 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1180, expected_value: E92000001, label: geography} + - {column: D, row: 1180, expected_value: Males, label: sex} + - {column: E, row: 1180, expected_value: Self-employed, label: employment type} + - {column: J, row: 1180, expected_value: Value, label: measure} + - {column: L, row: 1181, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1182 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1182, expected_value: E92000001, label: geography} + - {column: D, row: 1182, expected_value: Males, label: sex} + - {column: E, row: 1182, expected_value: Self-employed, label: employment type} + - {column: J, row: 1182, expected_value: Value, label: measure} + - {column: L, row: 1183, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1184 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1184, expected_value: E92000001, label: geography} + - {column: D, row: 1184, expected_value: Males, label: sex} + - {column: E, row: 1184, expected_value: Self-employed, label: employment type} + - {column: J, row: 1184, expected_value: Value, label: measure} + - {column: L, row: 1185, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1186 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1186, expected_value: E92000001, label: geography} + - {column: D, row: 1186, expected_value: Males, label: sex} + - {column: E, row: 1186, expected_value: Self-employed, label: employment type} + - {column: J, row: 1186, expected_value: Value, label: measure} + - {column: L, row: 1187, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1190 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1190, expected_value: E92000001, label: geography} + - {column: D, row: 1190, expected_value: Males, label: sex} + - {column: E, row: 1190, expected_value: Self-employed, label: employment type} + - {column: J, row: 1190, expected_value: Value, label: measure} + - {column: L, row: 1191, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1192 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1192, expected_value: E92000001, label: geography} + - {column: D, row: 1192, expected_value: Males, label: sex} + - {column: E, row: 1192, expected_value: Self-employed, label: employment type} + - {column: J, row: 1192, expected_value: Value, label: measure} + - {column: L, row: 1193, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1194 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1194, expected_value: E92000001, label: geography} + - {column: D, row: 1194, expected_value: Males, label: sex} + - {column: E, row: 1194, expected_value: Self-employed, label: employment type} + - {column: J, row: 1194, expected_value: Value, label: measure} + - {column: L, row: 1195, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1196 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1196, expected_value: E92000001, label: geography} + - {column: D, row: 1196, expected_value: Males, label: sex} + - {column: E, row: 1196, expected_value: Self-employed, label: employment type} + - {column: J, row: 1196, expected_value: Value, label: measure} + - {column: L, row: 1197, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1198 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1198, expected_value: E92000001, label: geography} + - {column: D, row: 1198, expected_value: Males, label: sex} + - {column: E, row: 1198, expected_value: Self-employed, label: employment type} + - {column: J, row: 1198, expected_value: Value, label: measure} + - {column: L, row: 1199, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1200 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1200, expected_value: E92000001, label: geography} + - {column: D, row: 1200, expected_value: Males, label: sex} + - {column: E, row: 1200, expected_value: Self-employed, label: employment type} + - {column: J, row: 1200, expected_value: Value, label: measure} + - {column: L, row: 1201, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1202 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1202, expected_value: E92000001, label: geography} + - {column: D, row: 1202, expected_value: Males, label: sex} + - {column: E, row: 1202, expected_value: Self-employed, label: employment type} + - {column: J, row: 1202, expected_value: Value, label: measure} + - {column: L, row: 1203, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1204 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1204, expected_value: E92000001, label: geography} + - {column: D, row: 1204, expected_value: Males, label: sex} + - {column: E, row: 1204, expected_value: Self-employed, label: employment type} + - {column: J, row: 1204, expected_value: Value, label: measure} + - {column: L, row: 1205, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1208 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1208, expected_value: E92000001, label: geography} + - {column: D, row: 1208, expected_value: Males, label: sex} + - {column: E, row: 1208, expected_value: Self-employed, label: employment type} + - {column: J, row: 1208, expected_value: Value, label: measure} + - {column: L, row: 1209, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1210 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1210, expected_value: E92000001, label: geography} + - {column: D, row: 1210, expected_value: Males, label: sex} + - {column: E, row: 1210, expected_value: Self-employed, label: employment type} + - {column: J, row: 1210, expected_value: Value, label: measure} + - {column: L, row: 1211, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1212 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1212, expected_value: E92000001, label: geography} + - {column: D, row: 1212, expected_value: Males, label: sex} + - {column: E, row: 1212, expected_value: Self-employed, label: employment type} + - {column: J, row: 1212, expected_value: Value, label: measure} + - {column: L, row: 1213, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1214 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1214, expected_value: E92000001, label: geography} + - {column: D, row: 1214, expected_value: Males, label: sex} + - {column: E, row: 1214, expected_value: Self-employed, label: employment type} + - {column: J, row: 1214, expected_value: Value, label: measure} + - {column: L, row: 1215, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1216 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1216, expected_value: E92000001, label: geography} + - {column: D, row: 1216, expected_value: Males, label: sex} + - {column: E, row: 1216, expected_value: Self-employed, label: employment type} + - {column: J, row: 1216, expected_value: Value, label: measure} + - {column: L, row: 1217, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1218 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1218, expected_value: E92000001, label: geography} + - {column: D, row: 1218, expected_value: Males, label: sex} + - {column: E, row: 1218, expected_value: Self-employed, label: employment type} + - {column: J, row: 1218, expected_value: Value, label: measure} + - {column: L, row: 1219, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1220 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1220, expected_value: E92000001, label: geography} + - {column: D, row: 1220, expected_value: Males, label: sex} + - {column: E, row: 1220, expected_value: Self-employed, label: employment type} + - {column: J, row: 1220, expected_value: Value, label: measure} + - {column: L, row: 1221, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1222 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1222, expected_value: E92000001, label: geography} + - {column: D, row: 1222, expected_value: Males, label: sex} + - {column: E, row: 1222, expected_value: Self-employed, label: employment type} + - {column: J, row: 1222, expected_value: Value, label: measure} + - {column: L, row: 1223, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1224 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1224, expected_value: E92000001, label: geography} + - {column: D, row: 1224, expected_value: Males, label: sex} + - {column: E, row: 1224, expected_value: Self-employed, label: employment type} + - {column: J, row: 1224, expected_value: Value, label: measure} + - {column: L, row: 1225, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1155 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1155, expected_value: E92000001, label: geography} + - {column: D, row: 1155, expected_value: Males, label: sex} + - {column: E, row: 1155, expected_value: Self-employed, label: employment type} + - {column: J, row: 1155, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1157 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1157, expected_value: E92000001, label: geography} + - {column: D, row: 1157, expected_value: Males, label: sex} + - {column: E, row: 1157, expected_value: Self-employed, label: employment type} + - {column: J, row: 1157, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1159 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1159, expected_value: E92000001, label: geography} + - {column: D, row: 1159, expected_value: Males, label: sex} + - {column: E, row: 1159, expected_value: Self-employed, label: employment type} + - {column: J, row: 1159, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1161 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1161, expected_value: E92000001, label: geography} + - {column: D, row: 1161, expected_value: Males, label: sex} + - {column: E, row: 1161, expected_value: Self-employed, label: employment type} + - {column: J, row: 1161, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1163 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1163, expected_value: E92000001, label: geography} + - {column: D, row: 1163, expected_value: Males, label: sex} + - {column: E, row: 1163, expected_value: Self-employed, label: employment type} + - {column: J, row: 1163, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1165 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1165, expected_value: E92000001, label: geography} + - {column: D, row: 1165, expected_value: Males, label: sex} + - {column: E, row: 1165, expected_value: Self-employed, label: employment type} + - {column: J, row: 1165, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1167 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1167, expected_value: E92000001, label: geography} + - {column: D, row: 1167, expected_value: Males, label: sex} + - {column: E, row: 1167, expected_value: Self-employed, label: employment type} + - {column: J, row: 1167, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1169 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1169, expected_value: E92000001, label: geography} + - {column: D, row: 1169, expected_value: Males, label: sex} + - {column: E, row: 1169, expected_value: Self-employed, label: employment type} + - {column: J, row: 1169, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1171 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1171, expected_value: E92000001, label: geography} + - {column: D, row: 1171, expected_value: Males, label: sex} + - {column: E, row: 1171, expected_value: Self-employed, label: employment type} + - {column: J, row: 1171, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1173 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1173, expected_value: E92000001, label: geography} + - {column: D, row: 1173, expected_value: Males, label: sex} + - {column: E, row: 1173, expected_value: Self-employed, label: employment type} + - {column: J, row: 1173, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1175 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1175, expected_value: E92000001, label: geography} + - {column: D, row: 1175, expected_value: Males, label: sex} + - {column: E, row: 1175, expected_value: Self-employed, label: employment type} + - {column: J, row: 1175, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1177 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1177, expected_value: E92000001, label: geography} + - {column: D, row: 1177, expected_value: Males, label: sex} + - {column: E, row: 1177, expected_value: Self-employed, label: employment type} + - {column: J, row: 1177, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1179 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1179, expected_value: E92000001, label: geography} + - {column: D, row: 1179, expected_value: Males, label: sex} + - {column: E, row: 1179, expected_value: Self-employed, label: employment type} + - {column: J, row: 1179, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1181 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1181, expected_value: E92000001, label: geography} + - {column: D, row: 1181, expected_value: Males, label: sex} + - {column: E, row: 1181, expected_value: Self-employed, label: employment type} + - {column: J, row: 1181, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1183 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1183, expected_value: E92000001, label: geography} + - {column: D, row: 1183, expected_value: Males, label: sex} + - {column: E, row: 1183, expected_value: Self-employed, label: employment type} + - {column: J, row: 1183, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1185 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1185, expected_value: E92000001, label: geography} + - {column: D, row: 1185, expected_value: Males, label: sex} + - {column: E, row: 1185, expected_value: Self-employed, label: employment type} + - {column: J, row: 1185, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1187 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1187, expected_value: E92000001, label: geography} + - {column: D, row: 1187, expected_value: Males, label: sex} + - {column: E, row: 1187, expected_value: Self-employed, label: employment type} + - {column: J, row: 1187, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1191 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1191, expected_value: E92000001, label: geography} + - {column: D, row: 1191, expected_value: Males, label: sex} + - {column: E, row: 1191, expected_value: Self-employed, label: employment type} + - {column: J, row: 1191, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1193 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1193, expected_value: E92000001, label: geography} + - {column: D, row: 1193, expected_value: Males, label: sex} + - {column: E, row: 1193, expected_value: Self-employed, label: employment type} + - {column: J, row: 1193, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1195 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1195, expected_value: E92000001, label: geography} + - {column: D, row: 1195, expected_value: Males, label: sex} + - {column: E, row: 1195, expected_value: Self-employed, label: employment type} + - {column: J, row: 1195, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1197 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1197, expected_value: E92000001, label: geography} + - {column: D, row: 1197, expected_value: Males, label: sex} + - {column: E, row: 1197, expected_value: Self-employed, label: employment type} + - {column: J, row: 1197, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1199 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1199, expected_value: E92000001, label: geography} + - {column: D, row: 1199, expected_value: Males, label: sex} + - {column: E, row: 1199, expected_value: Self-employed, label: employment type} + - {column: J, row: 1199, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1201 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1201, expected_value: E92000001, label: geography} + - {column: D, row: 1201, expected_value: Males, label: sex} + - {column: E, row: 1201, expected_value: Self-employed, label: employment type} + - {column: J, row: 1201, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1203 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1203, expected_value: E92000001, label: geography} + - {column: D, row: 1203, expected_value: Males, label: sex} + - {column: E, row: 1203, expected_value: Self-employed, label: employment type} + - {column: J, row: 1203, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1205 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1205, expected_value: E92000001, label: geography} + - {column: D, row: 1205, expected_value: Males, label: sex} + - {column: E, row: 1205, expected_value: Self-employed, label: employment type} + - {column: J, row: 1205, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1209 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1209, expected_value: E92000001, label: geography} + - {column: D, row: 1209, expected_value: Males, label: sex} + - {column: E, row: 1209, expected_value: Self-employed, label: employment type} + - {column: J, row: 1209, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1211 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1211, expected_value: E92000001, label: geography} + - {column: D, row: 1211, expected_value: Males, label: sex} + - {column: E, row: 1211, expected_value: Self-employed, label: employment type} + - {column: J, row: 1211, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1215 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1215, expected_value: E92000001, label: geography} + - {column: D, row: 1215, expected_value: Males, label: sex} + - {column: E, row: 1215, expected_value: Self-employed, label: employment type} + - {column: J, row: 1215, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1217 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1217, expected_value: E92000001, label: geography} + - {column: D, row: 1217, expected_value: Males, label: sex} + - {column: E, row: 1217, expected_value: Self-employed, label: employment type} + - {column: J, row: 1217, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1219 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1219, expected_value: E92000001, label: geography} + - {column: D, row: 1219, expected_value: Males, label: sex} + - {column: E, row: 1219, expected_value: Self-employed, label: employment type} + - {column: J, row: 1219, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1221 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1221, expected_value: E92000001, label: geography} + - {column: D, row: 1221, expected_value: Males, label: sex} + - {column: E, row: 1221, expected_value: Self-employed, label: employment type} + - {column: J, row: 1221, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1223 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1223, expected_value: E92000001, label: geography} + - {column: D, row: 1223, expected_value: Males, label: sex} + - {column: E, row: 1223, expected_value: Self-employed, label: employment type} + - {column: J, row: 1223, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1225 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1225, expected_value: E92000001, label: geography} + - {column: D, row: 1225, expected_value: Males, label: sex} + - {column: E, row: 1225, expected_value: Self-employed, label: employment type} + - {column: J, row: 1225, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 794 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 794, expected_value: E92000001, label: geography} + - {column: D, row: 794, expected_value: Females, label: sex} + - {column: E, row: 794, expected_value: Total, label: employment type} + - {column: J, row: 794, expected_value: Value, label: measure} + - {column: L, row: 795, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 796 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 796, expected_value: E92000001, label: geography} + - {column: D, row: 796, expected_value: Females, label: sex} + - {column: E, row: 796, expected_value: Total, label: employment type} + - {column: J, row: 796, expected_value: Value, label: measure} + - {column: L, row: 797, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 798 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 798, expected_value: E92000001, label: geography} + - {column: D, row: 798, expected_value: Females, label: sex} + - {column: E, row: 798, expected_value: Total, label: employment type} + - {column: J, row: 798, expected_value: Value, label: measure} + - {column: L, row: 799, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 800 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 800, expected_value: E92000001, label: geography} + - {column: D, row: 800, expected_value: Females, label: sex} + - {column: E, row: 800, expected_value: Total, label: employment type} + - {column: J, row: 800, expected_value: Value, label: measure} + - {column: L, row: 801, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 802 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 802, expected_value: E92000001, label: geography} + - {column: D, row: 802, expected_value: Females, label: sex} + - {column: E, row: 802, expected_value: Total, label: employment type} + - {column: J, row: 802, expected_value: Value, label: measure} + - {column: L, row: 803, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 804 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 804, expected_value: E92000001, label: geography} + - {column: D, row: 804, expected_value: Females, label: sex} + - {column: E, row: 804, expected_value: Total, label: employment type} + - {column: J, row: 804, expected_value: Value, label: measure} + - {column: L, row: 805, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 806 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 806, expected_value: E92000001, label: geography} + - {column: D, row: 806, expected_value: Females, label: sex} + - {column: E, row: 806, expected_value: Total, label: employment type} + - {column: J, row: 806, expected_value: Value, label: measure} + - {column: L, row: 807, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 808 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 808, expected_value: E92000001, label: geography} + - {column: D, row: 808, expected_value: Females, label: sex} + - {column: E, row: 808, expected_value: Total, label: employment type} + - {column: J, row: 808, expected_value: Value, label: measure} + - {column: L, row: 809, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 810 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 810, expected_value: E92000001, label: geography} + - {column: D, row: 810, expected_value: Females, label: sex} + - {column: E, row: 810, expected_value: Total, label: employment type} + - {column: J, row: 810, expected_value: Value, label: measure} + - {column: L, row: 811, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 812 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 812, expected_value: E92000001, label: geography} + - {column: D, row: 812, expected_value: Females, label: sex} + - {column: E, row: 812, expected_value: Total, label: employment type} + - {column: J, row: 812, expected_value: Value, label: measure} + - {column: L, row: 813, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 814 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 814, expected_value: E92000001, label: geography} + - {column: D, row: 814, expected_value: Females, label: sex} + - {column: E, row: 814, expected_value: Total, label: employment type} + - {column: J, row: 814, expected_value: Value, label: measure} + - {column: L, row: 815, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 816 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 816, expected_value: E92000001, label: geography} + - {column: D, row: 816, expected_value: Females, label: sex} + - {column: E, row: 816, expected_value: Total, label: employment type} + - {column: J, row: 816, expected_value: Value, label: measure} + - {column: L, row: 817, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 818 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 818, expected_value: E92000001, label: geography} + - {column: D, row: 818, expected_value: Females, label: sex} + - {column: E, row: 818, expected_value: Total, label: employment type} + - {column: J, row: 818, expected_value: Value, label: measure} + - {column: L, row: 819, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 820 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 820, expected_value: E92000001, label: geography} + - {column: D, row: 820, expected_value: Females, label: sex} + - {column: E, row: 820, expected_value: Total, label: employment type} + - {column: J, row: 820, expected_value: Value, label: measure} + - {column: L, row: 821, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 822 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 822, expected_value: E92000001, label: geography} + - {column: D, row: 822, expected_value: Females, label: sex} + - {column: E, row: 822, expected_value: Total, label: employment type} + - {column: J, row: 822, expected_value: Value, label: measure} + - {column: L, row: 823, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 824 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 824, expected_value: E92000001, label: geography} + - {column: D, row: 824, expected_value: Females, label: sex} + - {column: E, row: 824, expected_value: Total, label: employment type} + - {column: J, row: 824, expected_value: Value, label: measure} + - {column: L, row: 825, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 826 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 826, expected_value: E92000001, label: geography} + - {column: D, row: 826, expected_value: Females, label: sex} + - {column: E, row: 826, expected_value: Total, label: employment type} + - {column: J, row: 826, expected_value: Value, label: measure} + - {column: L, row: 827, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 828 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 828, expected_value: E92000001, label: geography} + - {column: D, row: 828, expected_value: Females, label: sex} + - {column: E, row: 828, expected_value: Total, label: employment type} + - {column: J, row: 828, expected_value: Value, label: measure} + - {column: L, row: 829, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 830 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 830, expected_value: E92000001, label: geography} + - {column: D, row: 830, expected_value: Females, label: sex} + - {column: E, row: 830, expected_value: Total, label: employment type} + - {column: J, row: 830, expected_value: Value, label: measure} + - {column: L, row: 831, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 832 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 832, expected_value: E92000001, label: geography} + - {column: D, row: 832, expected_value: Females, label: sex} + - {column: E, row: 832, expected_value: Total, label: employment type} + - {column: J, row: 832, expected_value: Value, label: measure} + - {column: L, row: 833, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 834 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 834, expected_value: E92000001, label: geography} + - {column: D, row: 834, expected_value: Females, label: sex} + - {column: E, row: 834, expected_value: Total, label: employment type} + - {column: J, row: 834, expected_value: Value, label: measure} + - {column: L, row: 835, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 836 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 836, expected_value: E92000001, label: geography} + - {column: D, row: 836, expected_value: Females, label: sex} + - {column: E, row: 836, expected_value: Total, label: employment type} + - {column: J, row: 836, expected_value: Value, label: measure} + - {column: L, row: 837, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 838 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 838, expected_value: E92000001, label: geography} + - {column: D, row: 838, expected_value: Females, label: sex} + - {column: E, row: 838, expected_value: Total, label: employment type} + - {column: J, row: 838, expected_value: Value, label: measure} + - {column: L, row: 839, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 840 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 840, expected_value: E92000001, label: geography} + - {column: D, row: 840, expected_value: Females, label: sex} + - {column: E, row: 840, expected_value: Total, label: employment type} + - {column: J, row: 840, expected_value: Value, label: measure} + - {column: L, row: 841, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 842 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 842, expected_value: E92000001, label: geography} + - {column: D, row: 842, expected_value: Females, label: sex} + - {column: E, row: 842, expected_value: Total, label: employment type} + - {column: J, row: 842, expected_value: Value, label: measure} + - {column: L, row: 843, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 844 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 844, expected_value: E92000001, label: geography} + - {column: D, row: 844, expected_value: Females, label: sex} + - {column: E, row: 844, expected_value: Total, label: employment type} + - {column: J, row: 844, expected_value: Value, label: measure} + - {column: L, row: 845, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 846 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 846, expected_value: E92000001, label: geography} + - {column: D, row: 846, expected_value: Females, label: sex} + - {column: E, row: 846, expected_value: Total, label: employment type} + - {column: J, row: 846, expected_value: Value, label: measure} + - {column: L, row: 847, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 848 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 848, expected_value: E92000001, label: geography} + - {column: D, row: 848, expected_value: Females, label: sex} + - {column: E, row: 848, expected_value: Total, label: employment type} + - {column: J, row: 848, expected_value: Value, label: measure} + - {column: L, row: 849, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 850 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 850, expected_value: E92000001, label: geography} + - {column: D, row: 850, expected_value: Females, label: sex} + - {column: E, row: 850, expected_value: Total, label: employment type} + - {column: J, row: 850, expected_value: Value, label: measure} + - {column: L, row: 851, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 852 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 852, expected_value: E92000001, label: geography} + - {column: D, row: 852, expected_value: Females, label: sex} + - {column: E, row: 852, expected_value: Total, label: employment type} + - {column: J, row: 852, expected_value: Value, label: measure} + - {column: L, row: 853, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 854 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 854, expected_value: E92000001, label: geography} + - {column: D, row: 854, expected_value: Females, label: sex} + - {column: E, row: 854, expected_value: Total, label: employment type} + - {column: J, row: 854, expected_value: Value, label: measure} + - {column: L, row: 855, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 856 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 856, expected_value: E92000001, label: geography} + - {column: D, row: 856, expected_value: Females, label: sex} + - {column: E, row: 856, expected_value: Total, label: employment type} + - {column: J, row: 856, expected_value: Value, label: measure} + - {column: L, row: 857, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 858 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 858, expected_value: E92000001, label: geography} + - {column: D, row: 858, expected_value: Females, label: sex} + - {column: E, row: 858, expected_value: Total, label: employment type} + - {column: J, row: 858, expected_value: Value, label: measure} + - {column: L, row: 859, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 860 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 860, expected_value: E92000001, label: geography} + - {column: D, row: 860, expected_value: Females, label: sex} + - {column: E, row: 860, expected_value: Total, label: employment type} + - {column: J, row: 860, expected_value: Value, label: measure} + - {column: L, row: 861, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 862 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 862, expected_value: E92000001, label: geography} + - {column: D, row: 862, expected_value: Females, label: sex} + - {column: E, row: 862, expected_value: Total, label: employment type} + - {column: J, row: 862, expected_value: Value, label: measure} + - {column: L, row: 863, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 864 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 864, expected_value: E92000001, label: geography} + - {column: D, row: 864, expected_value: Females, label: sex} + - {column: E, row: 864, expected_value: Total, label: employment type} + - {column: J, row: 864, expected_value: Value, label: measure} + - {column: L, row: 865, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 795 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 795, expected_value: E92000001, label: geography} + - {column: D, row: 795, expected_value: Females, label: sex} + - {column: E, row: 795, expected_value: Total, label: employment type} + - {column: J, row: 795, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 797 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 797, expected_value: E92000001, label: geography} + - {column: D, row: 797, expected_value: Females, label: sex} + - {column: E, row: 797, expected_value: Total, label: employment type} + - {column: J, row: 797, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 799 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 799, expected_value: E92000001, label: geography} + - {column: D, row: 799, expected_value: Females, label: sex} + - {column: E, row: 799, expected_value: Total, label: employment type} + - {column: J, row: 799, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 801 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 801, expected_value: E92000001, label: geography} + - {column: D, row: 801, expected_value: Females, label: sex} + - {column: E, row: 801, expected_value: Total, label: employment type} + - {column: J, row: 801, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 803 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 803, expected_value: E92000001, label: geography} + - {column: D, row: 803, expected_value: Females, label: sex} + - {column: E, row: 803, expected_value: Total, label: employment type} + - {column: J, row: 803, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 805 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 805, expected_value: E92000001, label: geography} + - {column: D, row: 805, expected_value: Females, label: sex} + - {column: E, row: 805, expected_value: Total, label: employment type} + - {column: J, row: 805, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 807 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 807, expected_value: E92000001, label: geography} + - {column: D, row: 807, expected_value: Females, label: sex} + - {column: E, row: 807, expected_value: Total, label: employment type} + - {column: J, row: 807, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 809 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 809, expected_value: E92000001, label: geography} + - {column: D, row: 809, expected_value: Females, label: sex} + - {column: E, row: 809, expected_value: Total, label: employment type} + - {column: J, row: 809, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 811 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 811, expected_value: E92000001, label: geography} + - {column: D, row: 811, expected_value: Females, label: sex} + - {column: E, row: 811, expected_value: Total, label: employment type} + - {column: J, row: 811, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 813 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 813, expected_value: E92000001, label: geography} + - {column: D, row: 813, expected_value: Females, label: sex} + - {column: E, row: 813, expected_value: Total, label: employment type} + - {column: J, row: 813, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 815 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 815, expected_value: E92000001, label: geography} + - {column: D, row: 815, expected_value: Females, label: sex} + - {column: E, row: 815, expected_value: Total, label: employment type} + - {column: J, row: 815, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 817 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 817, expected_value: E92000001, label: geography} + - {column: D, row: 817, expected_value: Females, label: sex} + - {column: E, row: 817, expected_value: Total, label: employment type} + - {column: J, row: 817, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 819 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 819, expected_value: E92000001, label: geography} + - {column: D, row: 819, expected_value: Females, label: sex} + - {column: E, row: 819, expected_value: Total, label: employment type} + - {column: J, row: 819, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 821 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 821, expected_value: E92000001, label: geography} + - {column: D, row: 821, expected_value: Females, label: sex} + - {column: E, row: 821, expected_value: Total, label: employment type} + - {column: J, row: 821, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 823 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 823, expected_value: E92000001, label: geography} + - {column: D, row: 823, expected_value: Females, label: sex} + - {column: E, row: 823, expected_value: Total, label: employment type} + - {column: J, row: 823, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 825 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 825, expected_value: E92000001, label: geography} + - {column: D, row: 825, expected_value: Females, label: sex} + - {column: E, row: 825, expected_value: Total, label: employment type} + - {column: J, row: 825, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 827 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 827, expected_value: E92000001, label: geography} + - {column: D, row: 827, expected_value: Females, label: sex} + - {column: E, row: 827, expected_value: Total, label: employment type} + - {column: J, row: 827, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 829 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 829, expected_value: E92000001, label: geography} + - {column: D, row: 829, expected_value: Females, label: sex} + - {column: E, row: 829, expected_value: Total, label: employment type} + - {column: J, row: 829, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 831 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 831, expected_value: E92000001, label: geography} + - {column: D, row: 831, expected_value: Females, label: sex} + - {column: E, row: 831, expected_value: Total, label: employment type} + - {column: J, row: 831, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 833 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 833, expected_value: E92000001, label: geography} + - {column: D, row: 833, expected_value: Females, label: sex} + - {column: E, row: 833, expected_value: Total, label: employment type} + - {column: J, row: 833, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 835 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 835, expected_value: E92000001, label: geography} + - {column: D, row: 835, expected_value: Females, label: sex} + - {column: E, row: 835, expected_value: Total, label: employment type} + - {column: J, row: 835, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 837 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 837, expected_value: E92000001, label: geography} + - {column: D, row: 837, expected_value: Females, label: sex} + - {column: E, row: 837, expected_value: Total, label: employment type} + - {column: J, row: 837, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 839 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 839, expected_value: E92000001, label: geography} + - {column: D, row: 839, expected_value: Females, label: sex} + - {column: E, row: 839, expected_value: Total, label: employment type} + - {column: J, row: 839, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 841 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 841, expected_value: E92000001, label: geography} + - {column: D, row: 841, expected_value: Females, label: sex} + - {column: E, row: 841, expected_value: Total, label: employment type} + - {column: J, row: 841, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 843 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 843, expected_value: E92000001, label: geography} + - {column: D, row: 843, expected_value: Females, label: sex} + - {column: E, row: 843, expected_value: Total, label: employment type} + - {column: J, row: 843, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 845 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 845, expected_value: E92000001, label: geography} + - {column: D, row: 845, expected_value: Females, label: sex} + - {column: E, row: 845, expected_value: Total, label: employment type} + - {column: J, row: 845, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 847 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 847, expected_value: E92000001, label: geography} + - {column: D, row: 847, expected_value: Females, label: sex} + - {column: E, row: 847, expected_value: Total, label: employment type} + - {column: J, row: 847, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 849 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 849, expected_value: E92000001, label: geography} + - {column: D, row: 849, expected_value: Females, label: sex} + - {column: E, row: 849, expected_value: Total, label: employment type} + - {column: J, row: 849, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 851 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 851, expected_value: E92000001, label: geography} + - {column: D, row: 851, expected_value: Females, label: sex} + - {column: E, row: 851, expected_value: Total, label: employment type} + - {column: J, row: 851, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 853 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 853, expected_value: E92000001, label: geography} + - {column: D, row: 853, expected_value: Females, label: sex} + - {column: E, row: 853, expected_value: Total, label: employment type} + - {column: J, row: 853, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 855 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 855, expected_value: E92000001, label: geography} + - {column: D, row: 855, expected_value: Females, label: sex} + - {column: E, row: 855, expected_value: Total, label: employment type} + - {column: J, row: 855, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 857 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 857, expected_value: E92000001, label: geography} + - {column: D, row: 857, expected_value: Females, label: sex} + - {column: E, row: 857, expected_value: Total, label: employment type} + - {column: J, row: 857, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 859 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 859, expected_value: E92000001, label: geography} + - {column: D, row: 859, expected_value: Females, label: sex} + - {column: E, row: 859, expected_value: Total, label: employment type} + - {column: J, row: 859, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 861 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 861, expected_value: E92000001, label: geography} + - {column: D, row: 861, expected_value: Females, label: sex} + - {column: E, row: 861, expected_value: Total, label: employment type} + - {column: J, row: 861, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 863 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 863, expected_value: E92000001, label: geography} + - {column: D, row: 863, expected_value: Females, label: sex} + - {column: E, row: 863, expected_value: Total, label: employment type} + - {column: J, row: 863, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 865 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 865, expected_value: E92000001, label: geography} + - {column: D, row: 865, expected_value: Females, label: sex} + - {column: E, row: 865, expected_value: Total, label: employment type} + - {column: J, row: 865, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1010 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1010, expected_value: E92000001, label: geography} + - {column: D, row: 1010, expected_value: Females, label: sex} + - {column: E, row: 1010, expected_value: Employee, label: employment type} + - {column: J, row: 1010, expected_value: Value, label: measure} + - {column: L, row: 1011, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1012 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1012, expected_value: E92000001, label: geography} + - {column: D, row: 1012, expected_value: Females, label: sex} + - {column: E, row: 1012, expected_value: Employee, label: employment type} + - {column: J, row: 1012, expected_value: Value, label: measure} + - {column: L, row: 1013, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1014 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1014, expected_value: E92000001, label: geography} + - {column: D, row: 1014, expected_value: Females, label: sex} + - {column: E, row: 1014, expected_value: Employee, label: employment type} + - {column: J, row: 1014, expected_value: Value, label: measure} + - {column: L, row: 1015, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1016 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1016, expected_value: E92000001, label: geography} + - {column: D, row: 1016, expected_value: Females, label: sex} + - {column: E, row: 1016, expected_value: Employee, label: employment type} + - {column: J, row: 1016, expected_value: Value, label: measure} + - {column: L, row: 1017, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1018 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1018, expected_value: E92000001, label: geography} + - {column: D, row: 1018, expected_value: Females, label: sex} + - {column: E, row: 1018, expected_value: Employee, label: employment type} + - {column: J, row: 1018, expected_value: Value, label: measure} + - {column: L, row: 1019, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1020 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1020, expected_value: E92000001, label: geography} + - {column: D, row: 1020, expected_value: Females, label: sex} + - {column: E, row: 1020, expected_value: Employee, label: employment type} + - {column: J, row: 1020, expected_value: Value, label: measure} + - {column: L, row: 1021, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1022 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1022, expected_value: E92000001, label: geography} + - {column: D, row: 1022, expected_value: Females, label: sex} + - {column: E, row: 1022, expected_value: Employee, label: employment type} + - {column: J, row: 1022, expected_value: Value, label: measure} + - {column: L, row: 1023, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1024 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1024, expected_value: E92000001, label: geography} + - {column: D, row: 1024, expected_value: Females, label: sex} + - {column: E, row: 1024, expected_value: Employee, label: employment type} + - {column: J, row: 1024, expected_value: Value, label: measure} + - {column: L, row: 1025, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1026 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1026, expected_value: E92000001, label: geography} + - {column: D, row: 1026, expected_value: Females, label: sex} + - {column: E, row: 1026, expected_value: Employee, label: employment type} + - {column: J, row: 1026, expected_value: Value, label: measure} + - {column: L, row: 1027, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1028 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1028, expected_value: E92000001, label: geography} + - {column: D, row: 1028, expected_value: Females, label: sex} + - {column: E, row: 1028, expected_value: Employee, label: employment type} + - {column: J, row: 1028, expected_value: Value, label: measure} + - {column: L, row: 1029, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1030 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1030, expected_value: E92000001, label: geography} + - {column: D, row: 1030, expected_value: Females, label: sex} + - {column: E, row: 1030, expected_value: Employee, label: employment type} + - {column: J, row: 1030, expected_value: Value, label: measure} + - {column: L, row: 1031, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1032 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1032, expected_value: E92000001, label: geography} + - {column: D, row: 1032, expected_value: Females, label: sex} + - {column: E, row: 1032, expected_value: Employee, label: employment type} + - {column: J, row: 1032, expected_value: Value, label: measure} + - {column: L, row: 1033, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1034 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1034, expected_value: E92000001, label: geography} + - {column: D, row: 1034, expected_value: Females, label: sex} + - {column: E, row: 1034, expected_value: Employee, label: employment type} + - {column: J, row: 1034, expected_value: Value, label: measure} + - {column: L, row: 1035, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1036 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1036, expected_value: E92000001, label: geography} + - {column: D, row: 1036, expected_value: Females, label: sex} + - {column: E, row: 1036, expected_value: Employee, label: employment type} + - {column: J, row: 1036, expected_value: Value, label: measure} + - {column: L, row: 1037, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1038 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1038, expected_value: E92000001, label: geography} + - {column: D, row: 1038, expected_value: Females, label: sex} + - {column: E, row: 1038, expected_value: Employee, label: employment type} + - {column: J, row: 1038, expected_value: Value, label: measure} + - {column: L, row: 1039, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1040 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1040, expected_value: E92000001, label: geography} + - {column: D, row: 1040, expected_value: Females, label: sex} + - {column: E, row: 1040, expected_value: Employee, label: employment type} + - {column: J, row: 1040, expected_value: Value, label: measure} + - {column: L, row: 1041, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1042 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1042, expected_value: E92000001, label: geography} + - {column: D, row: 1042, expected_value: Females, label: sex} + - {column: E, row: 1042, expected_value: Employee, label: employment type} + - {column: J, row: 1042, expected_value: Value, label: measure} + - {column: L, row: 1043, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1044 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1044, expected_value: E92000001, label: geography} + - {column: D, row: 1044, expected_value: Females, label: sex} + - {column: E, row: 1044, expected_value: Employee, label: employment type} + - {column: J, row: 1044, expected_value: Value, label: measure} + - {column: L, row: 1045, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1046 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1046, expected_value: E92000001, label: geography} + - {column: D, row: 1046, expected_value: Females, label: sex} + - {column: E, row: 1046, expected_value: Employee, label: employment type} + - {column: J, row: 1046, expected_value: Value, label: measure} + - {column: L, row: 1047, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1048 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1048, expected_value: E92000001, label: geography} + - {column: D, row: 1048, expected_value: Females, label: sex} + - {column: E, row: 1048, expected_value: Employee, label: employment type} + - {column: J, row: 1048, expected_value: Value, label: measure} + - {column: L, row: 1049, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1050 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1050, expected_value: E92000001, label: geography} + - {column: D, row: 1050, expected_value: Females, label: sex} + - {column: E, row: 1050, expected_value: Employee, label: employment type} + - {column: J, row: 1050, expected_value: Value, label: measure} + - {column: L, row: 1051, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1052 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1052, expected_value: E92000001, label: geography} + - {column: D, row: 1052, expected_value: Females, label: sex} + - {column: E, row: 1052, expected_value: Employee, label: employment type} + - {column: J, row: 1052, expected_value: Value, label: measure} + - {column: L, row: 1053, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1054 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1054, expected_value: E92000001, label: geography} + - {column: D, row: 1054, expected_value: Females, label: sex} + - {column: E, row: 1054, expected_value: Employee, label: employment type} + - {column: J, row: 1054, expected_value: Value, label: measure} + - {column: L, row: 1055, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1056 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1056, expected_value: E92000001, label: geography} + - {column: D, row: 1056, expected_value: Females, label: sex} + - {column: E, row: 1056, expected_value: Employee, label: employment type} + - {column: J, row: 1056, expected_value: Value, label: measure} + - {column: L, row: 1057, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1058 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1058, expected_value: E92000001, label: geography} + - {column: D, row: 1058, expected_value: Females, label: sex} + - {column: E, row: 1058, expected_value: Employee, label: employment type} + - {column: J, row: 1058, expected_value: Value, label: measure} + - {column: L, row: 1059, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1060 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1060, expected_value: E92000001, label: geography} + - {column: D, row: 1060, expected_value: Females, label: sex} + - {column: E, row: 1060, expected_value: Employee, label: employment type} + - {column: J, row: 1060, expected_value: Value, label: measure} + - {column: L, row: 1061, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1062 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1062, expected_value: E92000001, label: geography} + - {column: D, row: 1062, expected_value: Females, label: sex} + - {column: E, row: 1062, expected_value: Employee, label: employment type} + - {column: J, row: 1062, expected_value: Value, label: measure} + - {column: L, row: 1063, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1064 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1064, expected_value: E92000001, label: geography} + - {column: D, row: 1064, expected_value: Females, label: sex} + - {column: E, row: 1064, expected_value: Employee, label: employment type} + - {column: J, row: 1064, expected_value: Value, label: measure} + - {column: L, row: 1065, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1066 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1066, expected_value: E92000001, label: geography} + - {column: D, row: 1066, expected_value: Females, label: sex} + - {column: E, row: 1066, expected_value: Employee, label: employment type} + - {column: J, row: 1066, expected_value: Value, label: measure} + - {column: L, row: 1067, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1068 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1068, expected_value: E92000001, label: geography} + - {column: D, row: 1068, expected_value: Females, label: sex} + - {column: E, row: 1068, expected_value: Employee, label: employment type} + - {column: J, row: 1068, expected_value: Value, label: measure} + - {column: L, row: 1069, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1070 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1070, expected_value: E92000001, label: geography} + - {column: D, row: 1070, expected_value: Females, label: sex} + - {column: E, row: 1070, expected_value: Employee, label: employment type} + - {column: J, row: 1070, expected_value: Value, label: measure} + - {column: L, row: 1071, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1072 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1072, expected_value: E92000001, label: geography} + - {column: D, row: 1072, expected_value: Females, label: sex} + - {column: E, row: 1072, expected_value: Employee, label: employment type} + - {column: J, row: 1072, expected_value: Value, label: measure} + - {column: L, row: 1073, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1074 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1074, expected_value: E92000001, label: geography} + - {column: D, row: 1074, expected_value: Females, label: sex} + - {column: E, row: 1074, expected_value: Employee, label: employment type} + - {column: J, row: 1074, expected_value: Value, label: measure} + - {column: L, row: 1075, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1076 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1076, expected_value: E92000001, label: geography} + - {column: D, row: 1076, expected_value: Females, label: sex} + - {column: E, row: 1076, expected_value: Employee, label: employment type} + - {column: J, row: 1076, expected_value: Value, label: measure} + - {column: L, row: 1077, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1078 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1078, expected_value: E92000001, label: geography} + - {column: D, row: 1078, expected_value: Females, label: sex} + - {column: E, row: 1078, expected_value: Employee, label: employment type} + - {column: J, row: 1078, expected_value: Value, label: measure} + - {column: L, row: 1079, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1080 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1080, expected_value: E92000001, label: geography} + - {column: D, row: 1080, expected_value: Females, label: sex} + - {column: E, row: 1080, expected_value: Employee, label: employment type} + - {column: J, row: 1080, expected_value: Value, label: measure} + - {column: L, row: 1081, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1011 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1011, expected_value: E92000001, label: geography} + - {column: D, row: 1011, expected_value: Females, label: sex} + - {column: E, row: 1011, expected_value: Employee, label: employment type} + - {column: J, row: 1011, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1013 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1013, expected_value: E92000001, label: geography} + - {column: D, row: 1013, expected_value: Females, label: sex} + - {column: E, row: 1013, expected_value: Employee, label: employment type} + - {column: J, row: 1013, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1015 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1015, expected_value: E92000001, label: geography} + - {column: D, row: 1015, expected_value: Females, label: sex} + - {column: E, row: 1015, expected_value: Employee, label: employment type} + - {column: J, row: 1015, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1017 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1017, expected_value: E92000001, label: geography} + - {column: D, row: 1017, expected_value: Females, label: sex} + - {column: E, row: 1017, expected_value: Employee, label: employment type} + - {column: J, row: 1017, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1019 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1019, expected_value: E92000001, label: geography} + - {column: D, row: 1019, expected_value: Females, label: sex} + - {column: E, row: 1019, expected_value: Employee, label: employment type} + - {column: J, row: 1019, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1021 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1021, expected_value: E92000001, label: geography} + - {column: D, row: 1021, expected_value: Females, label: sex} + - {column: E, row: 1021, expected_value: Employee, label: employment type} + - {column: J, row: 1021, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1023 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1023, expected_value: E92000001, label: geography} + - {column: D, row: 1023, expected_value: Females, label: sex} + - {column: E, row: 1023, expected_value: Employee, label: employment type} + - {column: J, row: 1023, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1025 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1025, expected_value: E92000001, label: geography} + - {column: D, row: 1025, expected_value: Females, label: sex} + - {column: E, row: 1025, expected_value: Employee, label: employment type} + - {column: J, row: 1025, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1027 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1027, expected_value: E92000001, label: geography} + - {column: D, row: 1027, expected_value: Females, label: sex} + - {column: E, row: 1027, expected_value: Employee, label: employment type} + - {column: J, row: 1027, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1029 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1029, expected_value: E92000001, label: geography} + - {column: D, row: 1029, expected_value: Females, label: sex} + - {column: E, row: 1029, expected_value: Employee, label: employment type} + - {column: J, row: 1029, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1031 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1031, expected_value: E92000001, label: geography} + - {column: D, row: 1031, expected_value: Females, label: sex} + - {column: E, row: 1031, expected_value: Employee, label: employment type} + - {column: J, row: 1031, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1033 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1033, expected_value: E92000001, label: geography} + - {column: D, row: 1033, expected_value: Females, label: sex} + - {column: E, row: 1033, expected_value: Employee, label: employment type} + - {column: J, row: 1033, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1035 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1035, expected_value: E92000001, label: geography} + - {column: D, row: 1035, expected_value: Females, label: sex} + - {column: E, row: 1035, expected_value: Employee, label: employment type} + - {column: J, row: 1035, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1037 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1037, expected_value: E92000001, label: geography} + - {column: D, row: 1037, expected_value: Females, label: sex} + - {column: E, row: 1037, expected_value: Employee, label: employment type} + - {column: J, row: 1037, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1039 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1039, expected_value: E92000001, label: geography} + - {column: D, row: 1039, expected_value: Females, label: sex} + - {column: E, row: 1039, expected_value: Employee, label: employment type} + - {column: J, row: 1039, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1041 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1041, expected_value: E92000001, label: geography} + - {column: D, row: 1041, expected_value: Females, label: sex} + - {column: E, row: 1041, expected_value: Employee, label: employment type} + - {column: J, row: 1041, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1043 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1043, expected_value: E92000001, label: geography} + - {column: D, row: 1043, expected_value: Females, label: sex} + - {column: E, row: 1043, expected_value: Employee, label: employment type} + - {column: J, row: 1043, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1045 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1045, expected_value: E92000001, label: geography} + - {column: D, row: 1045, expected_value: Females, label: sex} + - {column: E, row: 1045, expected_value: Employee, label: employment type} + - {column: J, row: 1045, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1047 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1047, expected_value: E92000001, label: geography} + - {column: D, row: 1047, expected_value: Females, label: sex} + - {column: E, row: 1047, expected_value: Employee, label: employment type} + - {column: J, row: 1047, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1049 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1049, expected_value: E92000001, label: geography} + - {column: D, row: 1049, expected_value: Females, label: sex} + - {column: E, row: 1049, expected_value: Employee, label: employment type} + - {column: J, row: 1049, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1051 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1051, expected_value: E92000001, label: geography} + - {column: D, row: 1051, expected_value: Females, label: sex} + - {column: E, row: 1051, expected_value: Employee, label: employment type} + - {column: J, row: 1051, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1053 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1053, expected_value: E92000001, label: geography} + - {column: D, row: 1053, expected_value: Females, label: sex} + - {column: E, row: 1053, expected_value: Employee, label: employment type} + - {column: J, row: 1053, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1055 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1055, expected_value: E92000001, label: geography} + - {column: D, row: 1055, expected_value: Females, label: sex} + - {column: E, row: 1055, expected_value: Employee, label: employment type} + - {column: J, row: 1055, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1057 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1057, expected_value: E92000001, label: geography} + - {column: D, row: 1057, expected_value: Females, label: sex} + - {column: E, row: 1057, expected_value: Employee, label: employment type} + - {column: J, row: 1057, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1059 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1059, expected_value: E92000001, label: geography} + - {column: D, row: 1059, expected_value: Females, label: sex} + - {column: E, row: 1059, expected_value: Employee, label: employment type} + - {column: J, row: 1059, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1061 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1061, expected_value: E92000001, label: geography} + - {column: D, row: 1061, expected_value: Females, label: sex} + - {column: E, row: 1061, expected_value: Employee, label: employment type} + - {column: J, row: 1061, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1063 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1063, expected_value: E92000001, label: geography} + - {column: D, row: 1063, expected_value: Females, label: sex} + - {column: E, row: 1063, expected_value: Employee, label: employment type} + - {column: J, row: 1063, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1065 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1065, expected_value: E92000001, label: geography} + - {column: D, row: 1065, expected_value: Females, label: sex} + - {column: E, row: 1065, expected_value: Employee, label: employment type} + - {column: J, row: 1065, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1067 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1067, expected_value: E92000001, label: geography} + - {column: D, row: 1067, expected_value: Females, label: sex} + - {column: E, row: 1067, expected_value: Employee, label: employment type} + - {column: J, row: 1067, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1069 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1069, expected_value: E92000001, label: geography} + - {column: D, row: 1069, expected_value: Females, label: sex} + - {column: E, row: 1069, expected_value: Employee, label: employment type} + - {column: J, row: 1069, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1071 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1071, expected_value: E92000001, label: geography} + - {column: D, row: 1071, expected_value: Females, label: sex} + - {column: E, row: 1071, expected_value: Employee, label: employment type} + - {column: J, row: 1071, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1073 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1073, expected_value: E92000001, label: geography} + - {column: D, row: 1073, expected_value: Females, label: sex} + - {column: E, row: 1073, expected_value: Employee, label: employment type} + - {column: J, row: 1073, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1075 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1075, expected_value: E92000001, label: geography} + - {column: D, row: 1075, expected_value: Females, label: sex} + - {column: E, row: 1075, expected_value: Employee, label: employment type} + - {column: J, row: 1075, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1077 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1077, expected_value: E92000001, label: geography} + - {column: D, row: 1077, expected_value: Females, label: sex} + - {column: E, row: 1077, expected_value: Employee, label: employment type} + - {column: J, row: 1077, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1079 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1079, expected_value: E92000001, label: geography} + - {column: D, row: 1079, expected_value: Females, label: sex} + - {column: E, row: 1079, expected_value: Employee, label: employment type} + - {column: J, row: 1079, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1081 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1081, expected_value: E92000001, label: geography} + - {column: D, row: 1081, expected_value: Females, label: sex} + - {column: E, row: 1081, expected_value: Employee, label: employment type} + - {column: J, row: 1081, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1226 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1226, expected_value: E92000001, label: geography} + - {column: D, row: 1226, expected_value: Females, label: sex} + - {column: E, row: 1226, expected_value: Self-employed, label: employment type} + - {column: J, row: 1226, expected_value: Value, label: measure} + - {column: L, row: 1227, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1228 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1228, expected_value: E92000001, label: geography} + - {column: D, row: 1228, expected_value: Females, label: sex} + - {column: E, row: 1228, expected_value: Self-employed, label: employment type} + - {column: J, row: 1228, expected_value: Value, label: measure} + - {column: L, row: 1229, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1230 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1230, expected_value: E92000001, label: geography} + - {column: D, row: 1230, expected_value: Females, label: sex} + - {column: E, row: 1230, expected_value: Self-employed, label: employment type} + - {column: J, row: 1230, expected_value: Value, label: measure} + - {column: L, row: 1231, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1232 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1232, expected_value: E92000001, label: geography} + - {column: D, row: 1232, expected_value: Females, label: sex} + - {column: E, row: 1232, expected_value: Self-employed, label: employment type} + - {column: J, row: 1232, expected_value: Value, label: measure} + - {column: L, row: 1233, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1234 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1234, expected_value: E92000001, label: geography} + - {column: D, row: 1234, expected_value: Females, label: sex} + - {column: E, row: 1234, expected_value: Self-employed, label: employment type} + - {column: J, row: 1234, expected_value: Value, label: measure} + - {column: L, row: 1235, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1236 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1236, expected_value: E92000001, label: geography} + - {column: D, row: 1236, expected_value: Females, label: sex} + - {column: E, row: 1236, expected_value: Self-employed, label: employment type} + - {column: J, row: 1236, expected_value: Value, label: measure} + - {column: L, row: 1237, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1238 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1238, expected_value: E92000001, label: geography} + - {column: D, row: 1238, expected_value: Females, label: sex} + - {column: E, row: 1238, expected_value: Self-employed, label: employment type} + - {column: J, row: 1238, expected_value: Value, label: measure} + - {column: L, row: 1239, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1240 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1240, expected_value: E92000001, label: geography} + - {column: D, row: 1240, expected_value: Females, label: sex} + - {column: E, row: 1240, expected_value: Self-employed, label: employment type} + - {column: J, row: 1240, expected_value: Value, label: measure} + - {column: L, row: 1241, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1242 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1242, expected_value: E92000001, label: geography} + - {column: D, row: 1242, expected_value: Females, label: sex} + - {column: E, row: 1242, expected_value: Self-employed, label: employment type} + - {column: J, row: 1242, expected_value: Value, label: measure} + - {column: L, row: 1243, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1244 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1244, expected_value: E92000001, label: geography} + - {column: D, row: 1244, expected_value: Females, label: sex} + - {column: E, row: 1244, expected_value: Self-employed, label: employment type} + - {column: J, row: 1244, expected_value: Value, label: measure} + - {column: L, row: 1245, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1246 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1246, expected_value: E92000001, label: geography} + - {column: D, row: 1246, expected_value: Females, label: sex} + - {column: E, row: 1246, expected_value: Self-employed, label: employment type} + - {column: J, row: 1246, expected_value: Value, label: measure} + - {column: L, row: 1247, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1248 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1248, expected_value: E92000001, label: geography} + - {column: D, row: 1248, expected_value: Females, label: sex} + - {column: E, row: 1248, expected_value: Self-employed, label: employment type} + - {column: J, row: 1248, expected_value: Value, label: measure} + - {column: L, row: 1249, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1252 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1252, expected_value: E92000001, label: geography} + - {column: D, row: 1252, expected_value: Females, label: sex} + - {column: E, row: 1252, expected_value: Self-employed, label: employment type} + - {column: J, row: 1252, expected_value: Value, label: measure} + - {column: L, row: 1253, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1254 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1254, expected_value: E92000001, label: geography} + - {column: D, row: 1254, expected_value: Females, label: sex} + - {column: E, row: 1254, expected_value: Self-employed, label: employment type} + - {column: J, row: 1254, expected_value: Value, label: measure} + - {column: L, row: 1255, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1256 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1256, expected_value: E92000001, label: geography} + - {column: D, row: 1256, expected_value: Females, label: sex} + - {column: E, row: 1256, expected_value: Self-employed, label: employment type} + - {column: J, row: 1256, expected_value: Value, label: measure} + - {column: L, row: 1257, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1258 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1258, expected_value: E92000001, label: geography} + - {column: D, row: 1258, expected_value: Females, label: sex} + - {column: E, row: 1258, expected_value: Self-employed, label: employment type} + - {column: J, row: 1258, expected_value: Value, label: measure} + - {column: L, row: 1259, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1260 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1260, expected_value: E92000001, label: geography} + - {column: D, row: 1260, expected_value: Females, label: sex} + - {column: E, row: 1260, expected_value: Self-employed, label: employment type} + - {column: J, row: 1260, expected_value: Value, label: measure} + - {column: L, row: 1261, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1262 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1262, expected_value: E92000001, label: geography} + - {column: D, row: 1262, expected_value: Females, label: sex} + - {column: E, row: 1262, expected_value: Self-employed, label: employment type} + - {column: J, row: 1262, expected_value: Value, label: measure} + - {column: L, row: 1263, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1264 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1264, expected_value: E92000001, label: geography} + - {column: D, row: 1264, expected_value: Females, label: sex} + - {column: E, row: 1264, expected_value: Self-employed, label: employment type} + - {column: J, row: 1264, expected_value: Value, label: measure} + - {column: L, row: 1265, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1266 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1266, expected_value: E92000001, label: geography} + - {column: D, row: 1266, expected_value: Females, label: sex} + - {column: E, row: 1266, expected_value: Self-employed, label: employment type} + - {column: J, row: 1266, expected_value: Value, label: measure} + - {column: L, row: 1267, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1268 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1268, expected_value: E92000001, label: geography} + - {column: D, row: 1268, expected_value: Females, label: sex} + - {column: E, row: 1268, expected_value: Self-employed, label: employment type} + - {column: J, row: 1268, expected_value: Value, label: measure} + - {column: L, row: 1269, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1270 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1270, expected_value: E92000001, label: geography} + - {column: D, row: 1270, expected_value: Females, label: sex} + - {column: E, row: 1270, expected_value: Self-employed, label: employment type} + - {column: J, row: 1270, expected_value: Value, label: measure} + - {column: L, row: 1271, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1272 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1272, expected_value: E92000001, label: geography} + - {column: D, row: 1272, expected_value: Females, label: sex} + - {column: E, row: 1272, expected_value: Self-employed, label: employment type} + - {column: J, row: 1272, expected_value: Value, label: measure} + - {column: L, row: 1273, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1274 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1274, expected_value: E92000001, label: geography} + - {column: D, row: 1274, expected_value: Females, label: sex} + - {column: E, row: 1274, expected_value: Self-employed, label: employment type} + - {column: J, row: 1274, expected_value: Value, label: measure} + - {column: L, row: 1275, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1276 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1276, expected_value: E92000001, label: geography} + - {column: D, row: 1276, expected_value: Females, label: sex} + - {column: E, row: 1276, expected_value: Self-employed, label: employment type} + - {column: J, row: 1276, expected_value: Value, label: measure} + - {column: L, row: 1277, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1280 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1280, expected_value: E92000001, label: geography} + - {column: D, row: 1280, expected_value: Females, label: sex} + - {column: E, row: 1280, expected_value: Self-employed, label: employment type} + - {column: J, row: 1280, expected_value: Value, label: measure} + - {column: L, row: 1281, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1282 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1282, expected_value: E92000001, label: geography} + - {column: D, row: 1282, expected_value: Females, label: sex} + - {column: E, row: 1282, expected_value: Self-employed, label: employment type} + - {column: J, row: 1282, expected_value: Value, label: measure} + - {column: L, row: 1283, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1284 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1284, expected_value: E92000001, label: geography} + - {column: D, row: 1284, expected_value: Females, label: sex} + - {column: E, row: 1284, expected_value: Self-employed, label: employment type} + - {column: J, row: 1284, expected_value: Value, label: measure} + - {column: L, row: 1285, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1286 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1286, expected_value: E92000001, label: geography} + - {column: D, row: 1286, expected_value: Females, label: sex} + - {column: E, row: 1286, expected_value: Self-employed, label: employment type} + - {column: J, row: 1286, expected_value: Value, label: measure} + - {column: L, row: 1287, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1288 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1288, expected_value: E92000001, label: geography} + - {column: D, row: 1288, expected_value: Females, label: sex} + - {column: E, row: 1288, expected_value: Self-employed, label: employment type} + - {column: J, row: 1288, expected_value: Value, label: measure} + - {column: L, row: 1289, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1290 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1290, expected_value: E92000001, label: geography} + - {column: D, row: 1290, expected_value: Females, label: sex} + - {column: E, row: 1290, expected_value: Self-employed, label: employment type} + - {column: J, row: 1290, expected_value: Value, label: measure} + - {column: L, row: 1291, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1292 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1292, expected_value: E92000001, label: geography} + - {column: D, row: 1292, expected_value: Females, label: sex} + - {column: E, row: 1292, expected_value: Self-employed, label: employment type} + - {column: J, row: 1292, expected_value: Value, label: measure} + - {column: L, row: 1293, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1294 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1294, expected_value: E92000001, label: geography} + - {column: D, row: 1294, expected_value: Females, label: sex} + - {column: E, row: 1294, expected_value: Self-employed, label: employment type} + - {column: J, row: 1294, expected_value: Value, label: measure} + - {column: L, row: 1295, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1296 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1296, expected_value: E92000001, label: geography} + - {column: D, row: 1296, expected_value: Females, label: sex} + - {column: E, row: 1296, expected_value: Self-employed, label: employment type} + - {column: J, row: 1296, expected_value: Value, label: measure} + - {column: L, row: 1297, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e92000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e92000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e92000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E92000001 + geography_level: country + geography_name: England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1227 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1227, expected_value: E92000001, label: geography} + - {column: D, row: 1227, expected_value: Females, label: sex} + - {column: E, row: 1227, expected_value: Self-employed, label: employment type} + - {column: J, row: 1227, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1229 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1229, expected_value: E92000001, label: geography} + - {column: D, row: 1229, expected_value: Females, label: sex} + - {column: E, row: 1229, expected_value: Self-employed, label: employment type} + - {column: J, row: 1229, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1231 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1231, expected_value: E92000001, label: geography} + - {column: D, row: 1231, expected_value: Females, label: sex} + - {column: E, row: 1231, expected_value: Self-employed, label: employment type} + - {column: J, row: 1231, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1233 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1233, expected_value: E92000001, label: geography} + - {column: D, row: 1233, expected_value: Females, label: sex} + - {column: E, row: 1233, expected_value: Self-employed, label: employment type} + - {column: J, row: 1233, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1235 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1235, expected_value: E92000001, label: geography} + - {column: D, row: 1235, expected_value: Females, label: sex} + - {column: E, row: 1235, expected_value: Self-employed, label: employment type} + - {column: J, row: 1235, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1237 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1237, expected_value: E92000001, label: geography} + - {column: D, row: 1237, expected_value: Females, label: sex} + - {column: E, row: 1237, expected_value: Self-employed, label: employment type} + - {column: J, row: 1237, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1239 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1239, expected_value: E92000001, label: geography} + - {column: D, row: 1239, expected_value: Females, label: sex} + - {column: E, row: 1239, expected_value: Self-employed, label: employment type} + - {column: J, row: 1239, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1241 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1241, expected_value: E92000001, label: geography} + - {column: D, row: 1241, expected_value: Females, label: sex} + - {column: E, row: 1241, expected_value: Self-employed, label: employment type} + - {column: J, row: 1241, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1243 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1243, expected_value: E92000001, label: geography} + - {column: D, row: 1243, expected_value: Females, label: sex} + - {column: E, row: 1243, expected_value: Self-employed, label: employment type} + - {column: J, row: 1243, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1245 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1245, expected_value: E92000001, label: geography} + - {column: D, row: 1245, expected_value: Females, label: sex} + - {column: E, row: 1245, expected_value: Self-employed, label: employment type} + - {column: J, row: 1245, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1247 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1247, expected_value: E92000001, label: geography} + - {column: D, row: 1247, expected_value: Females, label: sex} + - {column: E, row: 1247, expected_value: Self-employed, label: employment type} + - {column: J, row: 1247, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1249 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1249, expected_value: E92000001, label: geography} + - {column: D, row: 1249, expected_value: Females, label: sex} + - {column: E, row: 1249, expected_value: Self-employed, label: employment type} + - {column: J, row: 1249, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1253 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1253, expected_value: E92000001, label: geography} + - {column: D, row: 1253, expected_value: Females, label: sex} + - {column: E, row: 1253, expected_value: Self-employed, label: employment type} + - {column: J, row: 1253, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1255 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1255, expected_value: E92000001, label: geography} + - {column: D, row: 1255, expected_value: Females, label: sex} + - {column: E, row: 1255, expected_value: Self-employed, label: employment type} + - {column: J, row: 1255, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1257 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1257, expected_value: E92000001, label: geography} + - {column: D, row: 1257, expected_value: Females, label: sex} + - {column: E, row: 1257, expected_value: Self-employed, label: employment type} + - {column: J, row: 1257, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1259 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1259, expected_value: E92000001, label: geography} + - {column: D, row: 1259, expected_value: Females, label: sex} + - {column: E, row: 1259, expected_value: Self-employed, label: employment type} + - {column: J, row: 1259, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1261 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1261, expected_value: E92000001, label: geography} + - {column: D, row: 1261, expected_value: Females, label: sex} + - {column: E, row: 1261, expected_value: Self-employed, label: employment type} + - {column: J, row: 1261, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1263 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1263, expected_value: E92000001, label: geography} + - {column: D, row: 1263, expected_value: Females, label: sex} + - {column: E, row: 1263, expected_value: Self-employed, label: employment type} + - {column: J, row: 1263, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1265 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1265, expected_value: E92000001, label: geography} + - {column: D, row: 1265, expected_value: Females, label: sex} + - {column: E, row: 1265, expected_value: Self-employed, label: employment type} + - {column: J, row: 1265, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1269 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1269, expected_value: E92000001, label: geography} + - {column: D, row: 1269, expected_value: Females, label: sex} + - {column: E, row: 1269, expected_value: Self-employed, label: employment type} + - {column: J, row: 1269, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1271 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1271, expected_value: E92000001, label: geography} + - {column: D, row: 1271, expected_value: Females, label: sex} + - {column: E, row: 1271, expected_value: Self-employed, label: employment type} + - {column: J, row: 1271, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1273 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1273, expected_value: E92000001, label: geography} + - {column: D, row: 1273, expected_value: Females, label: sex} + - {column: E, row: 1273, expected_value: Self-employed, label: employment type} + - {column: J, row: 1273, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1275 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1275, expected_value: E92000001, label: geography} + - {column: D, row: 1275, expected_value: Females, label: sex} + - {column: E, row: 1275, expected_value: Self-employed, label: employment type} + - {column: J, row: 1275, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1277 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1277, expected_value: E92000001, label: geography} + - {column: D, row: 1277, expected_value: Females, label: sex} + - {column: E, row: 1277, expected_value: Self-employed, label: employment type} + - {column: J, row: 1277, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1281 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1281, expected_value: E92000001, label: geography} + - {column: D, row: 1281, expected_value: Females, label: sex} + - {column: E, row: 1281, expected_value: Self-employed, label: employment type} + - {column: J, row: 1281, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1283 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1283, expected_value: E92000001, label: geography} + - {column: D, row: 1283, expected_value: Females, label: sex} + - {column: E, row: 1283, expected_value: Self-employed, label: employment type} + - {column: J, row: 1283, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1287 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1287, expected_value: E92000001, label: geography} + - {column: D, row: 1287, expected_value: Females, label: sex} + - {column: E, row: 1287, expected_value: Self-employed, label: employment type} + - {column: J, row: 1287, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1289 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1289, expected_value: E92000001, label: geography} + - {column: D, row: 1289, expected_value: Females, label: sex} + - {column: E, row: 1289, expected_value: Self-employed, label: employment type} + - {column: J, row: 1289, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1291 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1291, expected_value: E92000001, label: geography} + - {column: D, row: 1291, expected_value: Females, label: sex} + - {column: E, row: 1291, expected_value: Self-employed, label: employment type} + - {column: J, row: 1291, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1293 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1293, expected_value: E92000001, label: geography} + - {column: D, row: 1293, expected_value: Females, label: sex} + - {column: E, row: 1293, expected_value: Self-employed, label: employment type} + - {column: J, row: 1293, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1295 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1295, expected_value: E92000001, label: geography} + - {column: D, row: 1295, expected_value: Females, label: sex} + - {column: E, row: 1295, expected_value: Self-employed, label: employment type} + - {column: J, row: 1295, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1297 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1297, expected_value: E92000001, label: geography} + - {column: D, row: 1297, expected_value: Females, label: sex} + - {column: E, row: 1297, expected_value: Self-employed, label: employment type} + - {column: J, row: 1297, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1298 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1298, expected_value: W92000004, label: geography} + - {column: D, row: 1298, expected_value: All persons, label: sex} + - {column: E, row: 1298, expected_value: Total, label: employment type} + - {column: J, row: 1298, expected_value: Value, label: measure} + - {column: L, row: 1299, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1300 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1300, expected_value: W92000004, label: geography} + - {column: D, row: 1300, expected_value: All persons, label: sex} + - {column: E, row: 1300, expected_value: Total, label: employment type} + - {column: J, row: 1300, expected_value: Value, label: measure} + - {column: L, row: 1301, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1302 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1302, expected_value: W92000004, label: geography} + - {column: D, row: 1302, expected_value: All persons, label: sex} + - {column: E, row: 1302, expected_value: Total, label: employment type} + - {column: J, row: 1302, expected_value: Value, label: measure} + - {column: L, row: 1303, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1304 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1304, expected_value: W92000004, label: geography} + - {column: D, row: 1304, expected_value: All persons, label: sex} + - {column: E, row: 1304, expected_value: Total, label: employment type} + - {column: J, row: 1304, expected_value: Value, label: measure} + - {column: L, row: 1305, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1306 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1306, expected_value: W92000004, label: geography} + - {column: D, row: 1306, expected_value: All persons, label: sex} + - {column: E, row: 1306, expected_value: Total, label: employment type} + - {column: J, row: 1306, expected_value: Value, label: measure} + - {column: L, row: 1307, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1308 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1308, expected_value: W92000004, label: geography} + - {column: D, row: 1308, expected_value: All persons, label: sex} + - {column: E, row: 1308, expected_value: Total, label: employment type} + - {column: J, row: 1308, expected_value: Value, label: measure} + - {column: L, row: 1309, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1310 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1310, expected_value: W92000004, label: geography} + - {column: D, row: 1310, expected_value: All persons, label: sex} + - {column: E, row: 1310, expected_value: Total, label: employment type} + - {column: J, row: 1310, expected_value: Value, label: measure} + - {column: L, row: 1311, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1312 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1312, expected_value: W92000004, label: geography} + - {column: D, row: 1312, expected_value: All persons, label: sex} + - {column: E, row: 1312, expected_value: Total, label: employment type} + - {column: J, row: 1312, expected_value: Value, label: measure} + - {column: L, row: 1313, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1314 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1314, expected_value: W92000004, label: geography} + - {column: D, row: 1314, expected_value: All persons, label: sex} + - {column: E, row: 1314, expected_value: Total, label: employment type} + - {column: J, row: 1314, expected_value: Value, label: measure} + - {column: L, row: 1315, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1316 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1316, expected_value: W92000004, label: geography} + - {column: D, row: 1316, expected_value: All persons, label: sex} + - {column: E, row: 1316, expected_value: Total, label: employment type} + - {column: J, row: 1316, expected_value: Value, label: measure} + - {column: L, row: 1317, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1318 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1318, expected_value: W92000004, label: geography} + - {column: D, row: 1318, expected_value: All persons, label: sex} + - {column: E, row: 1318, expected_value: Total, label: employment type} + - {column: J, row: 1318, expected_value: Value, label: measure} + - {column: L, row: 1319, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1320 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1320, expected_value: W92000004, label: geography} + - {column: D, row: 1320, expected_value: All persons, label: sex} + - {column: E, row: 1320, expected_value: Total, label: employment type} + - {column: J, row: 1320, expected_value: Value, label: measure} + - {column: L, row: 1321, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1322 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1322, expected_value: W92000004, label: geography} + - {column: D, row: 1322, expected_value: All persons, label: sex} + - {column: E, row: 1322, expected_value: Total, label: employment type} + - {column: J, row: 1322, expected_value: Value, label: measure} + - {column: L, row: 1323, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1324 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1324, expected_value: W92000004, label: geography} + - {column: D, row: 1324, expected_value: All persons, label: sex} + - {column: E, row: 1324, expected_value: Total, label: employment type} + - {column: J, row: 1324, expected_value: Value, label: measure} + - {column: L, row: 1325, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1326 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1326, expected_value: W92000004, label: geography} + - {column: D, row: 1326, expected_value: All persons, label: sex} + - {column: E, row: 1326, expected_value: Total, label: employment type} + - {column: J, row: 1326, expected_value: Value, label: measure} + - {column: L, row: 1327, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1328 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1328, expected_value: W92000004, label: geography} + - {column: D, row: 1328, expected_value: All persons, label: sex} + - {column: E, row: 1328, expected_value: Total, label: employment type} + - {column: J, row: 1328, expected_value: Value, label: measure} + - {column: L, row: 1329, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1330 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1330, expected_value: W92000004, label: geography} + - {column: D, row: 1330, expected_value: All persons, label: sex} + - {column: E, row: 1330, expected_value: Total, label: employment type} + - {column: J, row: 1330, expected_value: Value, label: measure} + - {column: L, row: 1331, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1332 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1332, expected_value: W92000004, label: geography} + - {column: D, row: 1332, expected_value: All persons, label: sex} + - {column: E, row: 1332, expected_value: Total, label: employment type} + - {column: J, row: 1332, expected_value: Value, label: measure} + - {column: L, row: 1333, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1334 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1334, expected_value: W92000004, label: geography} + - {column: D, row: 1334, expected_value: All persons, label: sex} + - {column: E, row: 1334, expected_value: Total, label: employment type} + - {column: J, row: 1334, expected_value: Value, label: measure} + - {column: L, row: 1335, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1336 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1336, expected_value: W92000004, label: geography} + - {column: D, row: 1336, expected_value: All persons, label: sex} + - {column: E, row: 1336, expected_value: Total, label: employment type} + - {column: J, row: 1336, expected_value: Value, label: measure} + - {column: L, row: 1337, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1338 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1338, expected_value: W92000004, label: geography} + - {column: D, row: 1338, expected_value: All persons, label: sex} + - {column: E, row: 1338, expected_value: Total, label: employment type} + - {column: J, row: 1338, expected_value: Value, label: measure} + - {column: L, row: 1339, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1340 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1340, expected_value: W92000004, label: geography} + - {column: D, row: 1340, expected_value: All persons, label: sex} + - {column: E, row: 1340, expected_value: Total, label: employment type} + - {column: J, row: 1340, expected_value: Value, label: measure} + - {column: L, row: 1341, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1342 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1342, expected_value: W92000004, label: geography} + - {column: D, row: 1342, expected_value: All persons, label: sex} + - {column: E, row: 1342, expected_value: Total, label: employment type} + - {column: J, row: 1342, expected_value: Value, label: measure} + - {column: L, row: 1343, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1344 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1344, expected_value: W92000004, label: geography} + - {column: D, row: 1344, expected_value: All persons, label: sex} + - {column: E, row: 1344, expected_value: Total, label: employment type} + - {column: J, row: 1344, expected_value: Value, label: measure} + - {column: L, row: 1345, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1346 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1346, expected_value: W92000004, label: geography} + - {column: D, row: 1346, expected_value: All persons, label: sex} + - {column: E, row: 1346, expected_value: Total, label: employment type} + - {column: J, row: 1346, expected_value: Value, label: measure} + - {column: L, row: 1347, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1348 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1348, expected_value: W92000004, label: geography} + - {column: D, row: 1348, expected_value: All persons, label: sex} + - {column: E, row: 1348, expected_value: Total, label: employment type} + - {column: J, row: 1348, expected_value: Value, label: measure} + - {column: L, row: 1349, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1350 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1350, expected_value: W92000004, label: geography} + - {column: D, row: 1350, expected_value: All persons, label: sex} + - {column: E, row: 1350, expected_value: Total, label: employment type} + - {column: J, row: 1350, expected_value: Value, label: measure} + - {column: L, row: 1351, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1352 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1352, expected_value: W92000004, label: geography} + - {column: D, row: 1352, expected_value: All persons, label: sex} + - {column: E, row: 1352, expected_value: Total, label: employment type} + - {column: J, row: 1352, expected_value: Value, label: measure} + - {column: L, row: 1353, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1354 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1354, expected_value: W92000004, label: geography} + - {column: D, row: 1354, expected_value: All persons, label: sex} + - {column: E, row: 1354, expected_value: Total, label: employment type} + - {column: J, row: 1354, expected_value: Value, label: measure} + - {column: L, row: 1355, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1356 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1356, expected_value: W92000004, label: geography} + - {column: D, row: 1356, expected_value: All persons, label: sex} + - {column: E, row: 1356, expected_value: Total, label: employment type} + - {column: J, row: 1356, expected_value: Value, label: measure} + - {column: L, row: 1357, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1358 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1358, expected_value: W92000004, label: geography} + - {column: D, row: 1358, expected_value: All persons, label: sex} + - {column: E, row: 1358, expected_value: Total, label: employment type} + - {column: J, row: 1358, expected_value: Value, label: measure} + - {column: L, row: 1359, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1360 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1360, expected_value: W92000004, label: geography} + - {column: D, row: 1360, expected_value: All persons, label: sex} + - {column: E, row: 1360, expected_value: Total, label: employment type} + - {column: J, row: 1360, expected_value: Value, label: measure} + - {column: L, row: 1361, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1362 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1362, expected_value: W92000004, label: geography} + - {column: D, row: 1362, expected_value: All persons, label: sex} + - {column: E, row: 1362, expected_value: Total, label: employment type} + - {column: J, row: 1362, expected_value: Value, label: measure} + - {column: L, row: 1363, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1364 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1364, expected_value: W92000004, label: geography} + - {column: D, row: 1364, expected_value: All persons, label: sex} + - {column: E, row: 1364, expected_value: Total, label: employment type} + - {column: J, row: 1364, expected_value: Value, label: measure} + - {column: L, row: 1365, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1366 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1366, expected_value: W92000004, label: geography} + - {column: D, row: 1366, expected_value: All persons, label: sex} + - {column: E, row: 1366, expected_value: Total, label: employment type} + - {column: J, row: 1366, expected_value: Value, label: measure} + - {column: L, row: 1367, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1368 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1368, expected_value: W92000004, label: geography} + - {column: D, row: 1368, expected_value: All persons, label: sex} + - {column: E, row: 1368, expected_value: Total, label: employment type} + - {column: J, row: 1368, expected_value: Value, label: measure} + - {column: L, row: 1369, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1299 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1299, expected_value: W92000004, label: geography} + - {column: D, row: 1299, expected_value: All persons, label: sex} + - {column: E, row: 1299, expected_value: Total, label: employment type} + - {column: J, row: 1299, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1301 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1301, expected_value: W92000004, label: geography} + - {column: D, row: 1301, expected_value: All persons, label: sex} + - {column: E, row: 1301, expected_value: Total, label: employment type} + - {column: J, row: 1301, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1303 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1303, expected_value: W92000004, label: geography} + - {column: D, row: 1303, expected_value: All persons, label: sex} + - {column: E, row: 1303, expected_value: Total, label: employment type} + - {column: J, row: 1303, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1305 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1305, expected_value: W92000004, label: geography} + - {column: D, row: 1305, expected_value: All persons, label: sex} + - {column: E, row: 1305, expected_value: Total, label: employment type} + - {column: J, row: 1305, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1307 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1307, expected_value: W92000004, label: geography} + - {column: D, row: 1307, expected_value: All persons, label: sex} + - {column: E, row: 1307, expected_value: Total, label: employment type} + - {column: J, row: 1307, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1309 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1309, expected_value: W92000004, label: geography} + - {column: D, row: 1309, expected_value: All persons, label: sex} + - {column: E, row: 1309, expected_value: Total, label: employment type} + - {column: J, row: 1309, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1311 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1311, expected_value: W92000004, label: geography} + - {column: D, row: 1311, expected_value: All persons, label: sex} + - {column: E, row: 1311, expected_value: Total, label: employment type} + - {column: J, row: 1311, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1313 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1313, expected_value: W92000004, label: geography} + - {column: D, row: 1313, expected_value: All persons, label: sex} + - {column: E, row: 1313, expected_value: Total, label: employment type} + - {column: J, row: 1313, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1315 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1315, expected_value: W92000004, label: geography} + - {column: D, row: 1315, expected_value: All persons, label: sex} + - {column: E, row: 1315, expected_value: Total, label: employment type} + - {column: J, row: 1315, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1317 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1317, expected_value: W92000004, label: geography} + - {column: D, row: 1317, expected_value: All persons, label: sex} + - {column: E, row: 1317, expected_value: Total, label: employment type} + - {column: J, row: 1317, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1319 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1319, expected_value: W92000004, label: geography} + - {column: D, row: 1319, expected_value: All persons, label: sex} + - {column: E, row: 1319, expected_value: Total, label: employment type} + - {column: J, row: 1319, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1321 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1321, expected_value: W92000004, label: geography} + - {column: D, row: 1321, expected_value: All persons, label: sex} + - {column: E, row: 1321, expected_value: Total, label: employment type} + - {column: J, row: 1321, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1323 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1323, expected_value: W92000004, label: geography} + - {column: D, row: 1323, expected_value: All persons, label: sex} + - {column: E, row: 1323, expected_value: Total, label: employment type} + - {column: J, row: 1323, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1325 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1325, expected_value: W92000004, label: geography} + - {column: D, row: 1325, expected_value: All persons, label: sex} + - {column: E, row: 1325, expected_value: Total, label: employment type} + - {column: J, row: 1325, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1327 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1327, expected_value: W92000004, label: geography} + - {column: D, row: 1327, expected_value: All persons, label: sex} + - {column: E, row: 1327, expected_value: Total, label: employment type} + - {column: J, row: 1327, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1329 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1329, expected_value: W92000004, label: geography} + - {column: D, row: 1329, expected_value: All persons, label: sex} + - {column: E, row: 1329, expected_value: Total, label: employment type} + - {column: J, row: 1329, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1331 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1331, expected_value: W92000004, label: geography} + - {column: D, row: 1331, expected_value: All persons, label: sex} + - {column: E, row: 1331, expected_value: Total, label: employment type} + - {column: J, row: 1331, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1333 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1333, expected_value: W92000004, label: geography} + - {column: D, row: 1333, expected_value: All persons, label: sex} + - {column: E, row: 1333, expected_value: Total, label: employment type} + - {column: J, row: 1333, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1335 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1335, expected_value: W92000004, label: geography} + - {column: D, row: 1335, expected_value: All persons, label: sex} + - {column: E, row: 1335, expected_value: Total, label: employment type} + - {column: J, row: 1335, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1337 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1337, expected_value: W92000004, label: geography} + - {column: D, row: 1337, expected_value: All persons, label: sex} + - {column: E, row: 1337, expected_value: Total, label: employment type} + - {column: J, row: 1337, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1339 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1339, expected_value: W92000004, label: geography} + - {column: D, row: 1339, expected_value: All persons, label: sex} + - {column: E, row: 1339, expected_value: Total, label: employment type} + - {column: J, row: 1339, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1341 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1341, expected_value: W92000004, label: geography} + - {column: D, row: 1341, expected_value: All persons, label: sex} + - {column: E, row: 1341, expected_value: Total, label: employment type} + - {column: J, row: 1341, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1343 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1343, expected_value: W92000004, label: geography} + - {column: D, row: 1343, expected_value: All persons, label: sex} + - {column: E, row: 1343, expected_value: Total, label: employment type} + - {column: J, row: 1343, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1345 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1345, expected_value: W92000004, label: geography} + - {column: D, row: 1345, expected_value: All persons, label: sex} + - {column: E, row: 1345, expected_value: Total, label: employment type} + - {column: J, row: 1345, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1347 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1347, expected_value: W92000004, label: geography} + - {column: D, row: 1347, expected_value: All persons, label: sex} + - {column: E, row: 1347, expected_value: Total, label: employment type} + - {column: J, row: 1347, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1349 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1349, expected_value: W92000004, label: geography} + - {column: D, row: 1349, expected_value: All persons, label: sex} + - {column: E, row: 1349, expected_value: Total, label: employment type} + - {column: J, row: 1349, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1353 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1353, expected_value: W92000004, label: geography} + - {column: D, row: 1353, expected_value: All persons, label: sex} + - {column: E, row: 1353, expected_value: Total, label: employment type} + - {column: J, row: 1353, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1355 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1355, expected_value: W92000004, label: geography} + - {column: D, row: 1355, expected_value: All persons, label: sex} + - {column: E, row: 1355, expected_value: Total, label: employment type} + - {column: J, row: 1355, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1357 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1357, expected_value: W92000004, label: geography} + - {column: D, row: 1357, expected_value: All persons, label: sex} + - {column: E, row: 1357, expected_value: Total, label: employment type} + - {column: J, row: 1357, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1359 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1359, expected_value: W92000004, label: geography} + - {column: D, row: 1359, expected_value: All persons, label: sex} + - {column: E, row: 1359, expected_value: Total, label: employment type} + - {column: J, row: 1359, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1361 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1361, expected_value: W92000004, label: geography} + - {column: D, row: 1361, expected_value: All persons, label: sex} + - {column: E, row: 1361, expected_value: Total, label: employment type} + - {column: J, row: 1361, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1363 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1363, expected_value: W92000004, label: geography} + - {column: D, row: 1363, expected_value: All persons, label: sex} + - {column: E, row: 1363, expected_value: Total, label: employment type} + - {column: J, row: 1363, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1365 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1365, expected_value: W92000004, label: geography} + - {column: D, row: 1365, expected_value: All persons, label: sex} + - {column: E, row: 1365, expected_value: Total, label: employment type} + - {column: J, row: 1365, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1367 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1367, expected_value: W92000004, label: geography} + - {column: D, row: 1367, expected_value: All persons, label: sex} + - {column: E, row: 1367, expected_value: Total, label: employment type} + - {column: J, row: 1367, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1369 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1369, expected_value: W92000004, label: geography} + - {column: D, row: 1369, expected_value: All persons, label: sex} + - {column: E, row: 1369, expected_value: Total, label: employment type} + - {column: J, row: 1369, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1514 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1514, expected_value: W92000004, label: geography} + - {column: D, row: 1514, expected_value: All persons, label: sex} + - {column: E, row: 1514, expected_value: Employee, label: employment type} + - {column: J, row: 1514, expected_value: Value, label: measure} + - {column: L, row: 1515, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1516 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1516, expected_value: W92000004, label: geography} + - {column: D, row: 1516, expected_value: All persons, label: sex} + - {column: E, row: 1516, expected_value: Employee, label: employment type} + - {column: J, row: 1516, expected_value: Value, label: measure} + - {column: L, row: 1517, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1518 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1518, expected_value: W92000004, label: geography} + - {column: D, row: 1518, expected_value: All persons, label: sex} + - {column: E, row: 1518, expected_value: Employee, label: employment type} + - {column: J, row: 1518, expected_value: Value, label: measure} + - {column: L, row: 1519, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1520 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1520, expected_value: W92000004, label: geography} + - {column: D, row: 1520, expected_value: All persons, label: sex} + - {column: E, row: 1520, expected_value: Employee, label: employment type} + - {column: J, row: 1520, expected_value: Value, label: measure} + - {column: L, row: 1521, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1522 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1522, expected_value: W92000004, label: geography} + - {column: D, row: 1522, expected_value: All persons, label: sex} + - {column: E, row: 1522, expected_value: Employee, label: employment type} + - {column: J, row: 1522, expected_value: Value, label: measure} + - {column: L, row: 1523, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1524 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1524, expected_value: W92000004, label: geography} + - {column: D, row: 1524, expected_value: All persons, label: sex} + - {column: E, row: 1524, expected_value: Employee, label: employment type} + - {column: J, row: 1524, expected_value: Value, label: measure} + - {column: L, row: 1525, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1526 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1526, expected_value: W92000004, label: geography} + - {column: D, row: 1526, expected_value: All persons, label: sex} + - {column: E, row: 1526, expected_value: Employee, label: employment type} + - {column: J, row: 1526, expected_value: Value, label: measure} + - {column: L, row: 1527, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1528 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1528, expected_value: W92000004, label: geography} + - {column: D, row: 1528, expected_value: All persons, label: sex} + - {column: E, row: 1528, expected_value: Employee, label: employment type} + - {column: J, row: 1528, expected_value: Value, label: measure} + - {column: L, row: 1529, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1530 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1530, expected_value: W92000004, label: geography} + - {column: D, row: 1530, expected_value: All persons, label: sex} + - {column: E, row: 1530, expected_value: Employee, label: employment type} + - {column: J, row: 1530, expected_value: Value, label: measure} + - {column: L, row: 1531, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1532 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1532, expected_value: W92000004, label: geography} + - {column: D, row: 1532, expected_value: All persons, label: sex} + - {column: E, row: 1532, expected_value: Employee, label: employment type} + - {column: J, row: 1532, expected_value: Value, label: measure} + - {column: L, row: 1533, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1534 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1534, expected_value: W92000004, label: geography} + - {column: D, row: 1534, expected_value: All persons, label: sex} + - {column: E, row: 1534, expected_value: Employee, label: employment type} + - {column: J, row: 1534, expected_value: Value, label: measure} + - {column: L, row: 1535, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1536 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1536, expected_value: W92000004, label: geography} + - {column: D, row: 1536, expected_value: All persons, label: sex} + - {column: E, row: 1536, expected_value: Employee, label: employment type} + - {column: J, row: 1536, expected_value: Value, label: measure} + - {column: L, row: 1537, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1538 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1538, expected_value: W92000004, label: geography} + - {column: D, row: 1538, expected_value: All persons, label: sex} + - {column: E, row: 1538, expected_value: Employee, label: employment type} + - {column: J, row: 1538, expected_value: Value, label: measure} + - {column: L, row: 1539, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1540 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1540, expected_value: W92000004, label: geography} + - {column: D, row: 1540, expected_value: All persons, label: sex} + - {column: E, row: 1540, expected_value: Employee, label: employment type} + - {column: J, row: 1540, expected_value: Value, label: measure} + - {column: L, row: 1541, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1542 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1542, expected_value: W92000004, label: geography} + - {column: D, row: 1542, expected_value: All persons, label: sex} + - {column: E, row: 1542, expected_value: Employee, label: employment type} + - {column: J, row: 1542, expected_value: Value, label: measure} + - {column: L, row: 1543, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1544 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1544, expected_value: W92000004, label: geography} + - {column: D, row: 1544, expected_value: All persons, label: sex} + - {column: E, row: 1544, expected_value: Employee, label: employment type} + - {column: J, row: 1544, expected_value: Value, label: measure} + - {column: L, row: 1545, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1546 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1546, expected_value: W92000004, label: geography} + - {column: D, row: 1546, expected_value: All persons, label: sex} + - {column: E, row: 1546, expected_value: Employee, label: employment type} + - {column: J, row: 1546, expected_value: Value, label: measure} + - {column: L, row: 1547, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1548 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1548, expected_value: W92000004, label: geography} + - {column: D, row: 1548, expected_value: All persons, label: sex} + - {column: E, row: 1548, expected_value: Employee, label: employment type} + - {column: J, row: 1548, expected_value: Value, label: measure} + - {column: L, row: 1549, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1550 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1550, expected_value: W92000004, label: geography} + - {column: D, row: 1550, expected_value: All persons, label: sex} + - {column: E, row: 1550, expected_value: Employee, label: employment type} + - {column: J, row: 1550, expected_value: Value, label: measure} + - {column: L, row: 1551, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1552 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1552, expected_value: W92000004, label: geography} + - {column: D, row: 1552, expected_value: All persons, label: sex} + - {column: E, row: 1552, expected_value: Employee, label: employment type} + - {column: J, row: 1552, expected_value: Value, label: measure} + - {column: L, row: 1553, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1554 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1554, expected_value: W92000004, label: geography} + - {column: D, row: 1554, expected_value: All persons, label: sex} + - {column: E, row: 1554, expected_value: Employee, label: employment type} + - {column: J, row: 1554, expected_value: Value, label: measure} + - {column: L, row: 1555, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1556 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1556, expected_value: W92000004, label: geography} + - {column: D, row: 1556, expected_value: All persons, label: sex} + - {column: E, row: 1556, expected_value: Employee, label: employment type} + - {column: J, row: 1556, expected_value: Value, label: measure} + - {column: L, row: 1557, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1558 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1558, expected_value: W92000004, label: geography} + - {column: D, row: 1558, expected_value: All persons, label: sex} + - {column: E, row: 1558, expected_value: Employee, label: employment type} + - {column: J, row: 1558, expected_value: Value, label: measure} + - {column: L, row: 1559, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1560 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1560, expected_value: W92000004, label: geography} + - {column: D, row: 1560, expected_value: All persons, label: sex} + - {column: E, row: 1560, expected_value: Employee, label: employment type} + - {column: J, row: 1560, expected_value: Value, label: measure} + - {column: L, row: 1561, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1562 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1562, expected_value: W92000004, label: geography} + - {column: D, row: 1562, expected_value: All persons, label: sex} + - {column: E, row: 1562, expected_value: Employee, label: employment type} + - {column: J, row: 1562, expected_value: Value, label: measure} + - {column: L, row: 1563, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1564 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1564, expected_value: W92000004, label: geography} + - {column: D, row: 1564, expected_value: All persons, label: sex} + - {column: E, row: 1564, expected_value: Employee, label: employment type} + - {column: J, row: 1564, expected_value: Value, label: measure} + - {column: L, row: 1565, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1566 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1566, expected_value: W92000004, label: geography} + - {column: D, row: 1566, expected_value: All persons, label: sex} + - {column: E, row: 1566, expected_value: Employee, label: employment type} + - {column: J, row: 1566, expected_value: Value, label: measure} + - {column: L, row: 1567, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1568 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1568, expected_value: W92000004, label: geography} + - {column: D, row: 1568, expected_value: All persons, label: sex} + - {column: E, row: 1568, expected_value: Employee, label: employment type} + - {column: J, row: 1568, expected_value: Value, label: measure} + - {column: L, row: 1569, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1570 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1570, expected_value: W92000004, label: geography} + - {column: D, row: 1570, expected_value: All persons, label: sex} + - {column: E, row: 1570, expected_value: Employee, label: employment type} + - {column: J, row: 1570, expected_value: Value, label: measure} + - {column: L, row: 1571, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1572 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1572, expected_value: W92000004, label: geography} + - {column: D, row: 1572, expected_value: All persons, label: sex} + - {column: E, row: 1572, expected_value: Employee, label: employment type} + - {column: J, row: 1572, expected_value: Value, label: measure} + - {column: L, row: 1573, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1574 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1574, expected_value: W92000004, label: geography} + - {column: D, row: 1574, expected_value: All persons, label: sex} + - {column: E, row: 1574, expected_value: Employee, label: employment type} + - {column: J, row: 1574, expected_value: Value, label: measure} + - {column: L, row: 1575, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1576 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1576, expected_value: W92000004, label: geography} + - {column: D, row: 1576, expected_value: All persons, label: sex} + - {column: E, row: 1576, expected_value: Employee, label: employment type} + - {column: J, row: 1576, expected_value: Value, label: measure} + - {column: L, row: 1577, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1578 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1578, expected_value: W92000004, label: geography} + - {column: D, row: 1578, expected_value: All persons, label: sex} + - {column: E, row: 1578, expected_value: Employee, label: employment type} + - {column: J, row: 1578, expected_value: Value, label: measure} + - {column: L, row: 1579, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1580 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1580, expected_value: W92000004, label: geography} + - {column: D, row: 1580, expected_value: All persons, label: sex} + - {column: E, row: 1580, expected_value: Employee, label: employment type} + - {column: J, row: 1580, expected_value: Value, label: measure} + - {column: L, row: 1581, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1582 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1582, expected_value: W92000004, label: geography} + - {column: D, row: 1582, expected_value: All persons, label: sex} + - {column: E, row: 1582, expected_value: Employee, label: employment type} + - {column: J, row: 1582, expected_value: Value, label: measure} + - {column: L, row: 1583, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1584 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1584, expected_value: W92000004, label: geography} + - {column: D, row: 1584, expected_value: All persons, label: sex} + - {column: E, row: 1584, expected_value: Employee, label: employment type} + - {column: J, row: 1584, expected_value: Value, label: measure} + - {column: L, row: 1585, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1515 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1515, expected_value: W92000004, label: geography} + - {column: D, row: 1515, expected_value: All persons, label: sex} + - {column: E, row: 1515, expected_value: Employee, label: employment type} + - {column: J, row: 1515, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1517 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1517, expected_value: W92000004, label: geography} + - {column: D, row: 1517, expected_value: All persons, label: sex} + - {column: E, row: 1517, expected_value: Employee, label: employment type} + - {column: J, row: 1517, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1519 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1519, expected_value: W92000004, label: geography} + - {column: D, row: 1519, expected_value: All persons, label: sex} + - {column: E, row: 1519, expected_value: Employee, label: employment type} + - {column: J, row: 1519, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1521 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1521, expected_value: W92000004, label: geography} + - {column: D, row: 1521, expected_value: All persons, label: sex} + - {column: E, row: 1521, expected_value: Employee, label: employment type} + - {column: J, row: 1521, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1523 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1523, expected_value: W92000004, label: geography} + - {column: D, row: 1523, expected_value: All persons, label: sex} + - {column: E, row: 1523, expected_value: Employee, label: employment type} + - {column: J, row: 1523, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1525 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1525, expected_value: W92000004, label: geography} + - {column: D, row: 1525, expected_value: All persons, label: sex} + - {column: E, row: 1525, expected_value: Employee, label: employment type} + - {column: J, row: 1525, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1527 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1527, expected_value: W92000004, label: geography} + - {column: D, row: 1527, expected_value: All persons, label: sex} + - {column: E, row: 1527, expected_value: Employee, label: employment type} + - {column: J, row: 1527, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1529 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1529, expected_value: W92000004, label: geography} + - {column: D, row: 1529, expected_value: All persons, label: sex} + - {column: E, row: 1529, expected_value: Employee, label: employment type} + - {column: J, row: 1529, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1531 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1531, expected_value: W92000004, label: geography} + - {column: D, row: 1531, expected_value: All persons, label: sex} + - {column: E, row: 1531, expected_value: Employee, label: employment type} + - {column: J, row: 1531, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1533 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1533, expected_value: W92000004, label: geography} + - {column: D, row: 1533, expected_value: All persons, label: sex} + - {column: E, row: 1533, expected_value: Employee, label: employment type} + - {column: J, row: 1533, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1535 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1535, expected_value: W92000004, label: geography} + - {column: D, row: 1535, expected_value: All persons, label: sex} + - {column: E, row: 1535, expected_value: Employee, label: employment type} + - {column: J, row: 1535, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1537 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1537, expected_value: W92000004, label: geography} + - {column: D, row: 1537, expected_value: All persons, label: sex} + - {column: E, row: 1537, expected_value: Employee, label: employment type} + - {column: J, row: 1537, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1539 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1539, expected_value: W92000004, label: geography} + - {column: D, row: 1539, expected_value: All persons, label: sex} + - {column: E, row: 1539, expected_value: Employee, label: employment type} + - {column: J, row: 1539, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1541 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1541, expected_value: W92000004, label: geography} + - {column: D, row: 1541, expected_value: All persons, label: sex} + - {column: E, row: 1541, expected_value: Employee, label: employment type} + - {column: J, row: 1541, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1543 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1543, expected_value: W92000004, label: geography} + - {column: D, row: 1543, expected_value: All persons, label: sex} + - {column: E, row: 1543, expected_value: Employee, label: employment type} + - {column: J, row: 1543, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1545 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1545, expected_value: W92000004, label: geography} + - {column: D, row: 1545, expected_value: All persons, label: sex} + - {column: E, row: 1545, expected_value: Employee, label: employment type} + - {column: J, row: 1545, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1547 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1547, expected_value: W92000004, label: geography} + - {column: D, row: 1547, expected_value: All persons, label: sex} + - {column: E, row: 1547, expected_value: Employee, label: employment type} + - {column: J, row: 1547, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1549 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1549, expected_value: W92000004, label: geography} + - {column: D, row: 1549, expected_value: All persons, label: sex} + - {column: E, row: 1549, expected_value: Employee, label: employment type} + - {column: J, row: 1549, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1551 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1551, expected_value: W92000004, label: geography} + - {column: D, row: 1551, expected_value: All persons, label: sex} + - {column: E, row: 1551, expected_value: Employee, label: employment type} + - {column: J, row: 1551, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1553 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1553, expected_value: W92000004, label: geography} + - {column: D, row: 1553, expected_value: All persons, label: sex} + - {column: E, row: 1553, expected_value: Employee, label: employment type} + - {column: J, row: 1553, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1555 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1555, expected_value: W92000004, label: geography} + - {column: D, row: 1555, expected_value: All persons, label: sex} + - {column: E, row: 1555, expected_value: Employee, label: employment type} + - {column: J, row: 1555, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1557 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1557, expected_value: W92000004, label: geography} + - {column: D, row: 1557, expected_value: All persons, label: sex} + - {column: E, row: 1557, expected_value: Employee, label: employment type} + - {column: J, row: 1557, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1559 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1559, expected_value: W92000004, label: geography} + - {column: D, row: 1559, expected_value: All persons, label: sex} + - {column: E, row: 1559, expected_value: Employee, label: employment type} + - {column: J, row: 1559, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1561 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1561, expected_value: W92000004, label: geography} + - {column: D, row: 1561, expected_value: All persons, label: sex} + - {column: E, row: 1561, expected_value: Employee, label: employment type} + - {column: J, row: 1561, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1563 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1563, expected_value: W92000004, label: geography} + - {column: D, row: 1563, expected_value: All persons, label: sex} + - {column: E, row: 1563, expected_value: Employee, label: employment type} + - {column: J, row: 1563, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1565 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1565, expected_value: W92000004, label: geography} + - {column: D, row: 1565, expected_value: All persons, label: sex} + - {column: E, row: 1565, expected_value: Employee, label: employment type} + - {column: J, row: 1565, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1569 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1569, expected_value: W92000004, label: geography} + - {column: D, row: 1569, expected_value: All persons, label: sex} + - {column: E, row: 1569, expected_value: Employee, label: employment type} + - {column: J, row: 1569, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1571 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1571, expected_value: W92000004, label: geography} + - {column: D, row: 1571, expected_value: All persons, label: sex} + - {column: E, row: 1571, expected_value: Employee, label: employment type} + - {column: J, row: 1571, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1573 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1573, expected_value: W92000004, label: geography} + - {column: D, row: 1573, expected_value: All persons, label: sex} + - {column: E, row: 1573, expected_value: Employee, label: employment type} + - {column: J, row: 1573, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1575 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1575, expected_value: W92000004, label: geography} + - {column: D, row: 1575, expected_value: All persons, label: sex} + - {column: E, row: 1575, expected_value: Employee, label: employment type} + - {column: J, row: 1575, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1577 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1577, expected_value: W92000004, label: geography} + - {column: D, row: 1577, expected_value: All persons, label: sex} + - {column: E, row: 1577, expected_value: Employee, label: employment type} + - {column: J, row: 1577, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1579 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1579, expected_value: W92000004, label: geography} + - {column: D, row: 1579, expected_value: All persons, label: sex} + - {column: E, row: 1579, expected_value: Employee, label: employment type} + - {column: J, row: 1579, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1581 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1581, expected_value: W92000004, label: geography} + - {column: D, row: 1581, expected_value: All persons, label: sex} + - {column: E, row: 1581, expected_value: Employee, label: employment type} + - {column: J, row: 1581, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1583 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1583, expected_value: W92000004, label: geography} + - {column: D, row: 1583, expected_value: All persons, label: sex} + - {column: E, row: 1583, expected_value: Employee, label: employment type} + - {column: J, row: 1583, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1585 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1585, expected_value: W92000004, label: geography} + - {column: D, row: 1585, expected_value: All persons, label: sex} + - {column: E, row: 1585, expected_value: Employee, label: employment type} + - {column: J, row: 1585, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1730 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1730, expected_value: W92000004, label: geography} + - {column: D, row: 1730, expected_value: All persons, label: sex} + - {column: E, row: 1730, expected_value: Self-employed, label: employment type} + - {column: J, row: 1730, expected_value: Value, label: measure} + - {column: L, row: 1731, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1732 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1732, expected_value: W92000004, label: geography} + - {column: D, row: 1732, expected_value: All persons, label: sex} + - {column: E, row: 1732, expected_value: Self-employed, label: employment type} + - {column: J, row: 1732, expected_value: Value, label: measure} + - {column: L, row: 1733, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1734 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1734, expected_value: W92000004, label: geography} + - {column: D, row: 1734, expected_value: All persons, label: sex} + - {column: E, row: 1734, expected_value: Self-employed, label: employment type} + - {column: J, row: 1734, expected_value: Value, label: measure} + - {column: L, row: 1735, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1736 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1736, expected_value: W92000004, label: geography} + - {column: D, row: 1736, expected_value: All persons, label: sex} + - {column: E, row: 1736, expected_value: Self-employed, label: employment type} + - {column: J, row: 1736, expected_value: Value, label: measure} + - {column: L, row: 1737, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1738 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1738, expected_value: W92000004, label: geography} + - {column: D, row: 1738, expected_value: All persons, label: sex} + - {column: E, row: 1738, expected_value: Self-employed, label: employment type} + - {column: J, row: 1738, expected_value: Value, label: measure} + - {column: L, row: 1739, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1740 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1740, expected_value: W92000004, label: geography} + - {column: D, row: 1740, expected_value: All persons, label: sex} + - {column: E, row: 1740, expected_value: Self-employed, label: employment type} + - {column: J, row: 1740, expected_value: Value, label: measure} + - {column: L, row: 1741, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1742 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1742, expected_value: W92000004, label: geography} + - {column: D, row: 1742, expected_value: All persons, label: sex} + - {column: E, row: 1742, expected_value: Self-employed, label: employment type} + - {column: J, row: 1742, expected_value: Value, label: measure} + - {column: L, row: 1743, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1744 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1744, expected_value: W92000004, label: geography} + - {column: D, row: 1744, expected_value: All persons, label: sex} + - {column: E, row: 1744, expected_value: Self-employed, label: employment type} + - {column: J, row: 1744, expected_value: Value, label: measure} + - {column: L, row: 1745, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1746 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1746, expected_value: W92000004, label: geography} + - {column: D, row: 1746, expected_value: All persons, label: sex} + - {column: E, row: 1746, expected_value: Self-employed, label: employment type} + - {column: J, row: 1746, expected_value: Value, label: measure} + - {column: L, row: 1747, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1748 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1748, expected_value: W92000004, label: geography} + - {column: D, row: 1748, expected_value: All persons, label: sex} + - {column: E, row: 1748, expected_value: Self-employed, label: employment type} + - {column: J, row: 1748, expected_value: Value, label: measure} + - {column: L, row: 1749, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1750 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1750, expected_value: W92000004, label: geography} + - {column: D, row: 1750, expected_value: All persons, label: sex} + - {column: E, row: 1750, expected_value: Self-employed, label: employment type} + - {column: J, row: 1750, expected_value: Value, label: measure} + - {column: L, row: 1751, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1752 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1752, expected_value: W92000004, label: geography} + - {column: D, row: 1752, expected_value: All persons, label: sex} + - {column: E, row: 1752, expected_value: Self-employed, label: employment type} + - {column: J, row: 1752, expected_value: Value, label: measure} + - {column: L, row: 1753, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1756 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1756, expected_value: W92000004, label: geography} + - {column: D, row: 1756, expected_value: All persons, label: sex} + - {column: E, row: 1756, expected_value: Self-employed, label: employment type} + - {column: J, row: 1756, expected_value: Value, label: measure} + - {column: L, row: 1757, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1758 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1758, expected_value: W92000004, label: geography} + - {column: D, row: 1758, expected_value: All persons, label: sex} + - {column: E, row: 1758, expected_value: Self-employed, label: employment type} + - {column: J, row: 1758, expected_value: Value, label: measure} + - {column: L, row: 1759, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1760 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1760, expected_value: W92000004, label: geography} + - {column: D, row: 1760, expected_value: All persons, label: sex} + - {column: E, row: 1760, expected_value: Self-employed, label: employment type} + - {column: J, row: 1760, expected_value: Value, label: measure} + - {column: L, row: 1761, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1762 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1762, expected_value: W92000004, label: geography} + - {column: D, row: 1762, expected_value: All persons, label: sex} + - {column: E, row: 1762, expected_value: Self-employed, label: employment type} + - {column: J, row: 1762, expected_value: Value, label: measure} + - {column: L, row: 1763, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1766 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1766, expected_value: W92000004, label: geography} + - {column: D, row: 1766, expected_value: All persons, label: sex} + - {column: E, row: 1766, expected_value: Self-employed, label: employment type} + - {column: J, row: 1766, expected_value: Value, label: measure} + - {column: L, row: 1767, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1768 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1768, expected_value: W92000004, label: geography} + - {column: D, row: 1768, expected_value: All persons, label: sex} + - {column: E, row: 1768, expected_value: Self-employed, label: employment type} + - {column: J, row: 1768, expected_value: Value, label: measure} + - {column: L, row: 1769, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1770 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1770, expected_value: W92000004, label: geography} + - {column: D, row: 1770, expected_value: All persons, label: sex} + - {column: E, row: 1770, expected_value: Self-employed, label: employment type} + - {column: J, row: 1770, expected_value: Value, label: measure} + - {column: L, row: 1771, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1772 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1772, expected_value: W92000004, label: geography} + - {column: D, row: 1772, expected_value: All persons, label: sex} + - {column: E, row: 1772, expected_value: Self-employed, label: employment type} + - {column: J, row: 1772, expected_value: Value, label: measure} + - {column: L, row: 1773, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1774 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1774, expected_value: W92000004, label: geography} + - {column: D, row: 1774, expected_value: All persons, label: sex} + - {column: E, row: 1774, expected_value: Self-employed, label: employment type} + - {column: J, row: 1774, expected_value: Value, label: measure} + - {column: L, row: 1775, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1776 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1776, expected_value: W92000004, label: geography} + - {column: D, row: 1776, expected_value: All persons, label: sex} + - {column: E, row: 1776, expected_value: Self-employed, label: employment type} + - {column: J, row: 1776, expected_value: Value, label: measure} + - {column: L, row: 1777, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1778 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1778, expected_value: W92000004, label: geography} + - {column: D, row: 1778, expected_value: All persons, label: sex} + - {column: E, row: 1778, expected_value: Self-employed, label: employment type} + - {column: J, row: 1778, expected_value: Value, label: measure} + - {column: L, row: 1779, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1780 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1780, expected_value: W92000004, label: geography} + - {column: D, row: 1780, expected_value: All persons, label: sex} + - {column: E, row: 1780, expected_value: Self-employed, label: employment type} + - {column: J, row: 1780, expected_value: Value, label: measure} + - {column: L, row: 1781, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1784 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1784, expected_value: W92000004, label: geography} + - {column: D, row: 1784, expected_value: All persons, label: sex} + - {column: E, row: 1784, expected_value: Self-employed, label: employment type} + - {column: J, row: 1784, expected_value: Value, label: measure} + - {column: L, row: 1785, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1786 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1786, expected_value: W92000004, label: geography} + - {column: D, row: 1786, expected_value: All persons, label: sex} + - {column: E, row: 1786, expected_value: Self-employed, label: employment type} + - {column: J, row: 1786, expected_value: Value, label: measure} + - {column: L, row: 1787, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1790 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1790, expected_value: W92000004, label: geography} + - {column: D, row: 1790, expected_value: All persons, label: sex} + - {column: E, row: 1790, expected_value: Self-employed, label: employment type} + - {column: J, row: 1790, expected_value: Value, label: measure} + - {column: L, row: 1791, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1792 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1792, expected_value: W92000004, label: geography} + - {column: D, row: 1792, expected_value: All persons, label: sex} + - {column: E, row: 1792, expected_value: Self-employed, label: employment type} + - {column: J, row: 1792, expected_value: Value, label: measure} + - {column: L, row: 1793, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1794 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1794, expected_value: W92000004, label: geography} + - {column: D, row: 1794, expected_value: All persons, label: sex} + - {column: E, row: 1794, expected_value: Self-employed, label: employment type} + - {column: J, row: 1794, expected_value: Value, label: measure} + - {column: L, row: 1795, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1796 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1796, expected_value: W92000004, label: geography} + - {column: D, row: 1796, expected_value: All persons, label: sex} + - {column: E, row: 1796, expected_value: Self-employed, label: employment type} + - {column: J, row: 1796, expected_value: Value, label: measure} + - {column: L, row: 1797, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1798 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1798, expected_value: W92000004, label: geography} + - {column: D, row: 1798, expected_value: All persons, label: sex} + - {column: E, row: 1798, expected_value: Self-employed, label: employment type} + - {column: J, row: 1798, expected_value: Value, label: measure} + - {column: L, row: 1799, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1800 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1800, expected_value: W92000004, label: geography} + - {column: D, row: 1800, expected_value: All persons, label: sex} + - {column: E, row: 1800, expected_value: Self-employed, label: employment type} + - {column: J, row: 1800, expected_value: Value, label: measure} + - {column: L, row: 1801, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1731 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1731, expected_value: W92000004, label: geography} + - {column: D, row: 1731, expected_value: All persons, label: sex} + - {column: E, row: 1731, expected_value: Self-employed, label: employment type} + - {column: J, row: 1731, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1733 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1733, expected_value: W92000004, label: geography} + - {column: D, row: 1733, expected_value: All persons, label: sex} + - {column: E, row: 1733, expected_value: Self-employed, label: employment type} + - {column: J, row: 1733, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1735 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1735, expected_value: W92000004, label: geography} + - {column: D, row: 1735, expected_value: All persons, label: sex} + - {column: E, row: 1735, expected_value: Self-employed, label: employment type} + - {column: J, row: 1735, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1737 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1737, expected_value: W92000004, label: geography} + - {column: D, row: 1737, expected_value: All persons, label: sex} + - {column: E, row: 1737, expected_value: Self-employed, label: employment type} + - {column: J, row: 1737, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1739 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1739, expected_value: W92000004, label: geography} + - {column: D, row: 1739, expected_value: All persons, label: sex} + - {column: E, row: 1739, expected_value: Self-employed, label: employment type} + - {column: J, row: 1739, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1741 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1741, expected_value: W92000004, label: geography} + - {column: D, row: 1741, expected_value: All persons, label: sex} + - {column: E, row: 1741, expected_value: Self-employed, label: employment type} + - {column: J, row: 1741, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1743 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1743, expected_value: W92000004, label: geography} + - {column: D, row: 1743, expected_value: All persons, label: sex} + - {column: E, row: 1743, expected_value: Self-employed, label: employment type} + - {column: J, row: 1743, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1745 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1745, expected_value: W92000004, label: geography} + - {column: D, row: 1745, expected_value: All persons, label: sex} + - {column: E, row: 1745, expected_value: Self-employed, label: employment type} + - {column: J, row: 1745, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1747 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1747, expected_value: W92000004, label: geography} + - {column: D, row: 1747, expected_value: All persons, label: sex} + - {column: E, row: 1747, expected_value: Self-employed, label: employment type} + - {column: J, row: 1747, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1749 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1749, expected_value: W92000004, label: geography} + - {column: D, row: 1749, expected_value: All persons, label: sex} + - {column: E, row: 1749, expected_value: Self-employed, label: employment type} + - {column: J, row: 1749, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1753 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1753, expected_value: W92000004, label: geography} + - {column: D, row: 1753, expected_value: All persons, label: sex} + - {column: E, row: 1753, expected_value: Self-employed, label: employment type} + - {column: J, row: 1753, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1757 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1757, expected_value: W92000004, label: geography} + - {column: D, row: 1757, expected_value: All persons, label: sex} + - {column: E, row: 1757, expected_value: Self-employed, label: employment type} + - {column: J, row: 1757, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1759 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1759, expected_value: W92000004, label: geography} + - {column: D, row: 1759, expected_value: All persons, label: sex} + - {column: E, row: 1759, expected_value: Self-employed, label: employment type} + - {column: J, row: 1759, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1761 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1761, expected_value: W92000004, label: geography} + - {column: D, row: 1761, expected_value: All persons, label: sex} + - {column: E, row: 1761, expected_value: Self-employed, label: employment type} + - {column: J, row: 1761, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1763 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1763, expected_value: W92000004, label: geography} + - {column: D, row: 1763, expected_value: All persons, label: sex} + - {column: E, row: 1763, expected_value: Self-employed, label: employment type} + - {column: J, row: 1763, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1767 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1767, expected_value: W92000004, label: geography} + - {column: D, row: 1767, expected_value: All persons, label: sex} + - {column: E, row: 1767, expected_value: Self-employed, label: employment type} + - {column: J, row: 1767, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1769 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1769, expected_value: W92000004, label: geography} + - {column: D, row: 1769, expected_value: All persons, label: sex} + - {column: E, row: 1769, expected_value: Self-employed, label: employment type} + - {column: J, row: 1769, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1771 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1771, expected_value: W92000004, label: geography} + - {column: D, row: 1771, expected_value: All persons, label: sex} + - {column: E, row: 1771, expected_value: Self-employed, label: employment type} + - {column: J, row: 1771, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1773 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1773, expected_value: W92000004, label: geography} + - {column: D, row: 1773, expected_value: All persons, label: sex} + - {column: E, row: 1773, expected_value: Self-employed, label: employment type} + - {column: J, row: 1773, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1775 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1775, expected_value: W92000004, label: geography} + - {column: D, row: 1775, expected_value: All persons, label: sex} + - {column: E, row: 1775, expected_value: Self-employed, label: employment type} + - {column: J, row: 1775, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1777 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1777, expected_value: W92000004, label: geography} + - {column: D, row: 1777, expected_value: All persons, label: sex} + - {column: E, row: 1777, expected_value: Self-employed, label: employment type} + - {column: J, row: 1777, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1779 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1779, expected_value: W92000004, label: geography} + - {column: D, row: 1779, expected_value: All persons, label: sex} + - {column: E, row: 1779, expected_value: Self-employed, label: employment type} + - {column: J, row: 1779, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1781 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1781, expected_value: W92000004, label: geography} + - {column: D, row: 1781, expected_value: All persons, label: sex} + - {column: E, row: 1781, expected_value: Self-employed, label: employment type} + - {column: J, row: 1781, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1785 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1785, expected_value: W92000004, label: geography} + - {column: D, row: 1785, expected_value: All persons, label: sex} + - {column: E, row: 1785, expected_value: Self-employed, label: employment type} + - {column: J, row: 1785, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1787 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1787, expected_value: W92000004, label: geography} + - {column: D, row: 1787, expected_value: All persons, label: sex} + - {column: E, row: 1787, expected_value: Self-employed, label: employment type} + - {column: J, row: 1787, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1791 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1791, expected_value: W92000004, label: geography} + - {column: D, row: 1791, expected_value: All persons, label: sex} + - {column: E, row: 1791, expected_value: Self-employed, label: employment type} + - {column: J, row: 1791, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1793 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1793, expected_value: W92000004, label: geography} + - {column: D, row: 1793, expected_value: All persons, label: sex} + - {column: E, row: 1793, expected_value: Self-employed, label: employment type} + - {column: J, row: 1793, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1795 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1795, expected_value: W92000004, label: geography} + - {column: D, row: 1795, expected_value: All persons, label: sex} + - {column: E, row: 1795, expected_value: Self-employed, label: employment type} + - {column: J, row: 1795, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1797 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1797, expected_value: W92000004, label: geography} + - {column: D, row: 1797, expected_value: All persons, label: sex} + - {column: E, row: 1797, expected_value: Self-employed, label: employment type} + - {column: J, row: 1797, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1799 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1799, expected_value: W92000004, label: geography} + - {column: D, row: 1799, expected_value: All persons, label: sex} + - {column: E, row: 1799, expected_value: Self-employed, label: employment type} + - {column: J, row: 1799, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1801 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1801, expected_value: W92000004, label: geography} + - {column: D, row: 1801, expected_value: All persons, label: sex} + - {column: E, row: 1801, expected_value: Self-employed, label: employment type} + - {column: J, row: 1801, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1370 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1370, expected_value: W92000004, label: geography} + - {column: D, row: 1370, expected_value: Males, label: sex} + - {column: E, row: 1370, expected_value: Total, label: employment type} + - {column: J, row: 1370, expected_value: Value, label: measure} + - {column: L, row: 1371, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1372 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1372, expected_value: W92000004, label: geography} + - {column: D, row: 1372, expected_value: Males, label: sex} + - {column: E, row: 1372, expected_value: Total, label: employment type} + - {column: J, row: 1372, expected_value: Value, label: measure} + - {column: L, row: 1373, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1374 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1374, expected_value: W92000004, label: geography} + - {column: D, row: 1374, expected_value: Males, label: sex} + - {column: E, row: 1374, expected_value: Total, label: employment type} + - {column: J, row: 1374, expected_value: Value, label: measure} + - {column: L, row: 1375, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1376 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1376, expected_value: W92000004, label: geography} + - {column: D, row: 1376, expected_value: Males, label: sex} + - {column: E, row: 1376, expected_value: Total, label: employment type} + - {column: J, row: 1376, expected_value: Value, label: measure} + - {column: L, row: 1377, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1378 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1378, expected_value: W92000004, label: geography} + - {column: D, row: 1378, expected_value: Males, label: sex} + - {column: E, row: 1378, expected_value: Total, label: employment type} + - {column: J, row: 1378, expected_value: Value, label: measure} + - {column: L, row: 1379, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1380 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1380, expected_value: W92000004, label: geography} + - {column: D, row: 1380, expected_value: Males, label: sex} + - {column: E, row: 1380, expected_value: Total, label: employment type} + - {column: J, row: 1380, expected_value: Value, label: measure} + - {column: L, row: 1381, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1382 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1382, expected_value: W92000004, label: geography} + - {column: D, row: 1382, expected_value: Males, label: sex} + - {column: E, row: 1382, expected_value: Total, label: employment type} + - {column: J, row: 1382, expected_value: Value, label: measure} + - {column: L, row: 1383, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1384 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1384, expected_value: W92000004, label: geography} + - {column: D, row: 1384, expected_value: Males, label: sex} + - {column: E, row: 1384, expected_value: Total, label: employment type} + - {column: J, row: 1384, expected_value: Value, label: measure} + - {column: L, row: 1385, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1386 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1386, expected_value: W92000004, label: geography} + - {column: D, row: 1386, expected_value: Males, label: sex} + - {column: E, row: 1386, expected_value: Total, label: employment type} + - {column: J, row: 1386, expected_value: Value, label: measure} + - {column: L, row: 1387, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1388 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1388, expected_value: W92000004, label: geography} + - {column: D, row: 1388, expected_value: Males, label: sex} + - {column: E, row: 1388, expected_value: Total, label: employment type} + - {column: J, row: 1388, expected_value: Value, label: measure} + - {column: L, row: 1389, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1390 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1390, expected_value: W92000004, label: geography} + - {column: D, row: 1390, expected_value: Males, label: sex} + - {column: E, row: 1390, expected_value: Total, label: employment type} + - {column: J, row: 1390, expected_value: Value, label: measure} + - {column: L, row: 1391, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1392 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1392, expected_value: W92000004, label: geography} + - {column: D, row: 1392, expected_value: Males, label: sex} + - {column: E, row: 1392, expected_value: Total, label: employment type} + - {column: J, row: 1392, expected_value: Value, label: measure} + - {column: L, row: 1393, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1394 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1394, expected_value: W92000004, label: geography} + - {column: D, row: 1394, expected_value: Males, label: sex} + - {column: E, row: 1394, expected_value: Total, label: employment type} + - {column: J, row: 1394, expected_value: Value, label: measure} + - {column: L, row: 1395, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1396 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1396, expected_value: W92000004, label: geography} + - {column: D, row: 1396, expected_value: Males, label: sex} + - {column: E, row: 1396, expected_value: Total, label: employment type} + - {column: J, row: 1396, expected_value: Value, label: measure} + - {column: L, row: 1397, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1398 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1398, expected_value: W92000004, label: geography} + - {column: D, row: 1398, expected_value: Males, label: sex} + - {column: E, row: 1398, expected_value: Total, label: employment type} + - {column: J, row: 1398, expected_value: Value, label: measure} + - {column: L, row: 1399, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1400 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1400, expected_value: W92000004, label: geography} + - {column: D, row: 1400, expected_value: Males, label: sex} + - {column: E, row: 1400, expected_value: Total, label: employment type} + - {column: J, row: 1400, expected_value: Value, label: measure} + - {column: L, row: 1401, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1402 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1402, expected_value: W92000004, label: geography} + - {column: D, row: 1402, expected_value: Males, label: sex} + - {column: E, row: 1402, expected_value: Total, label: employment type} + - {column: J, row: 1402, expected_value: Value, label: measure} + - {column: L, row: 1403, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1404 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1404, expected_value: W92000004, label: geography} + - {column: D, row: 1404, expected_value: Males, label: sex} + - {column: E, row: 1404, expected_value: Total, label: employment type} + - {column: J, row: 1404, expected_value: Value, label: measure} + - {column: L, row: 1405, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1406 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1406, expected_value: W92000004, label: geography} + - {column: D, row: 1406, expected_value: Males, label: sex} + - {column: E, row: 1406, expected_value: Total, label: employment type} + - {column: J, row: 1406, expected_value: Value, label: measure} + - {column: L, row: 1407, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1408 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1408, expected_value: W92000004, label: geography} + - {column: D, row: 1408, expected_value: Males, label: sex} + - {column: E, row: 1408, expected_value: Total, label: employment type} + - {column: J, row: 1408, expected_value: Value, label: measure} + - {column: L, row: 1409, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1410 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1410, expected_value: W92000004, label: geography} + - {column: D, row: 1410, expected_value: Males, label: sex} + - {column: E, row: 1410, expected_value: Total, label: employment type} + - {column: J, row: 1410, expected_value: Value, label: measure} + - {column: L, row: 1411, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1412 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1412, expected_value: W92000004, label: geography} + - {column: D, row: 1412, expected_value: Males, label: sex} + - {column: E, row: 1412, expected_value: Total, label: employment type} + - {column: J, row: 1412, expected_value: Value, label: measure} + - {column: L, row: 1413, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1414 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1414, expected_value: W92000004, label: geography} + - {column: D, row: 1414, expected_value: Males, label: sex} + - {column: E, row: 1414, expected_value: Total, label: employment type} + - {column: J, row: 1414, expected_value: Value, label: measure} + - {column: L, row: 1415, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1416 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1416, expected_value: W92000004, label: geography} + - {column: D, row: 1416, expected_value: Males, label: sex} + - {column: E, row: 1416, expected_value: Total, label: employment type} + - {column: J, row: 1416, expected_value: Value, label: measure} + - {column: L, row: 1417, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1418 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1418, expected_value: W92000004, label: geography} + - {column: D, row: 1418, expected_value: Males, label: sex} + - {column: E, row: 1418, expected_value: Total, label: employment type} + - {column: J, row: 1418, expected_value: Value, label: measure} + - {column: L, row: 1419, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1420 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1420, expected_value: W92000004, label: geography} + - {column: D, row: 1420, expected_value: Males, label: sex} + - {column: E, row: 1420, expected_value: Total, label: employment type} + - {column: J, row: 1420, expected_value: Value, label: measure} + - {column: L, row: 1421, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1422 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1422, expected_value: W92000004, label: geography} + - {column: D, row: 1422, expected_value: Males, label: sex} + - {column: E, row: 1422, expected_value: Total, label: employment type} + - {column: J, row: 1422, expected_value: Value, label: measure} + - {column: L, row: 1423, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1424 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1424, expected_value: W92000004, label: geography} + - {column: D, row: 1424, expected_value: Males, label: sex} + - {column: E, row: 1424, expected_value: Total, label: employment type} + - {column: J, row: 1424, expected_value: Value, label: measure} + - {column: L, row: 1425, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1426 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1426, expected_value: W92000004, label: geography} + - {column: D, row: 1426, expected_value: Males, label: sex} + - {column: E, row: 1426, expected_value: Total, label: employment type} + - {column: J, row: 1426, expected_value: Value, label: measure} + - {column: L, row: 1427, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1428 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1428, expected_value: W92000004, label: geography} + - {column: D, row: 1428, expected_value: Males, label: sex} + - {column: E, row: 1428, expected_value: Total, label: employment type} + - {column: J, row: 1428, expected_value: Value, label: measure} + - {column: L, row: 1429, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1430 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1430, expected_value: W92000004, label: geography} + - {column: D, row: 1430, expected_value: Males, label: sex} + - {column: E, row: 1430, expected_value: Total, label: employment type} + - {column: J, row: 1430, expected_value: Value, label: measure} + - {column: L, row: 1431, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1432 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1432, expected_value: W92000004, label: geography} + - {column: D, row: 1432, expected_value: Males, label: sex} + - {column: E, row: 1432, expected_value: Total, label: employment type} + - {column: J, row: 1432, expected_value: Value, label: measure} + - {column: L, row: 1433, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1434 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1434, expected_value: W92000004, label: geography} + - {column: D, row: 1434, expected_value: Males, label: sex} + - {column: E, row: 1434, expected_value: Total, label: employment type} + - {column: J, row: 1434, expected_value: Value, label: measure} + - {column: L, row: 1435, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1436 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1436, expected_value: W92000004, label: geography} + - {column: D, row: 1436, expected_value: Males, label: sex} + - {column: E, row: 1436, expected_value: Total, label: employment type} + - {column: J, row: 1436, expected_value: Value, label: measure} + - {column: L, row: 1437, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1438 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1438, expected_value: W92000004, label: geography} + - {column: D, row: 1438, expected_value: Males, label: sex} + - {column: E, row: 1438, expected_value: Total, label: employment type} + - {column: J, row: 1438, expected_value: Value, label: measure} + - {column: L, row: 1439, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1440 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1440, expected_value: W92000004, label: geography} + - {column: D, row: 1440, expected_value: Males, label: sex} + - {column: E, row: 1440, expected_value: Total, label: employment type} + - {column: J, row: 1440, expected_value: Value, label: measure} + - {column: L, row: 1441, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1371 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1371, expected_value: W92000004, label: geography} + - {column: D, row: 1371, expected_value: Males, label: sex} + - {column: E, row: 1371, expected_value: Total, label: employment type} + - {column: J, row: 1371, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1373 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1373, expected_value: W92000004, label: geography} + - {column: D, row: 1373, expected_value: Males, label: sex} + - {column: E, row: 1373, expected_value: Total, label: employment type} + - {column: J, row: 1373, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1375 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1375, expected_value: W92000004, label: geography} + - {column: D, row: 1375, expected_value: Males, label: sex} + - {column: E, row: 1375, expected_value: Total, label: employment type} + - {column: J, row: 1375, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1377 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1377, expected_value: W92000004, label: geography} + - {column: D, row: 1377, expected_value: Males, label: sex} + - {column: E, row: 1377, expected_value: Total, label: employment type} + - {column: J, row: 1377, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1379 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1379, expected_value: W92000004, label: geography} + - {column: D, row: 1379, expected_value: Males, label: sex} + - {column: E, row: 1379, expected_value: Total, label: employment type} + - {column: J, row: 1379, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1381 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1381, expected_value: W92000004, label: geography} + - {column: D, row: 1381, expected_value: Males, label: sex} + - {column: E, row: 1381, expected_value: Total, label: employment type} + - {column: J, row: 1381, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1383 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1383, expected_value: W92000004, label: geography} + - {column: D, row: 1383, expected_value: Males, label: sex} + - {column: E, row: 1383, expected_value: Total, label: employment type} + - {column: J, row: 1383, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1385 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1385, expected_value: W92000004, label: geography} + - {column: D, row: 1385, expected_value: Males, label: sex} + - {column: E, row: 1385, expected_value: Total, label: employment type} + - {column: J, row: 1385, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1387 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1387, expected_value: W92000004, label: geography} + - {column: D, row: 1387, expected_value: Males, label: sex} + - {column: E, row: 1387, expected_value: Total, label: employment type} + - {column: J, row: 1387, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1389 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1389, expected_value: W92000004, label: geography} + - {column: D, row: 1389, expected_value: Males, label: sex} + - {column: E, row: 1389, expected_value: Total, label: employment type} + - {column: J, row: 1389, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1391 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1391, expected_value: W92000004, label: geography} + - {column: D, row: 1391, expected_value: Males, label: sex} + - {column: E, row: 1391, expected_value: Total, label: employment type} + - {column: J, row: 1391, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1393 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1393, expected_value: W92000004, label: geography} + - {column: D, row: 1393, expected_value: Males, label: sex} + - {column: E, row: 1393, expected_value: Total, label: employment type} + - {column: J, row: 1393, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1395 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1395, expected_value: W92000004, label: geography} + - {column: D, row: 1395, expected_value: Males, label: sex} + - {column: E, row: 1395, expected_value: Total, label: employment type} + - {column: J, row: 1395, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1397 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1397, expected_value: W92000004, label: geography} + - {column: D, row: 1397, expected_value: Males, label: sex} + - {column: E, row: 1397, expected_value: Total, label: employment type} + - {column: J, row: 1397, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1399 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1399, expected_value: W92000004, label: geography} + - {column: D, row: 1399, expected_value: Males, label: sex} + - {column: E, row: 1399, expected_value: Total, label: employment type} + - {column: J, row: 1399, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1401 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1401, expected_value: W92000004, label: geography} + - {column: D, row: 1401, expected_value: Males, label: sex} + - {column: E, row: 1401, expected_value: Total, label: employment type} + - {column: J, row: 1401, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1403 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1403, expected_value: W92000004, label: geography} + - {column: D, row: 1403, expected_value: Males, label: sex} + - {column: E, row: 1403, expected_value: Total, label: employment type} + - {column: J, row: 1403, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1407 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1407, expected_value: W92000004, label: geography} + - {column: D, row: 1407, expected_value: Males, label: sex} + - {column: E, row: 1407, expected_value: Total, label: employment type} + - {column: J, row: 1407, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1409 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1409, expected_value: W92000004, label: geography} + - {column: D, row: 1409, expected_value: Males, label: sex} + - {column: E, row: 1409, expected_value: Total, label: employment type} + - {column: J, row: 1409, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1411 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1411, expected_value: W92000004, label: geography} + - {column: D, row: 1411, expected_value: Males, label: sex} + - {column: E, row: 1411, expected_value: Total, label: employment type} + - {column: J, row: 1411, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1413 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1413, expected_value: W92000004, label: geography} + - {column: D, row: 1413, expected_value: Males, label: sex} + - {column: E, row: 1413, expected_value: Total, label: employment type} + - {column: J, row: 1413, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1415 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1415, expected_value: W92000004, label: geography} + - {column: D, row: 1415, expected_value: Males, label: sex} + - {column: E, row: 1415, expected_value: Total, label: employment type} + - {column: J, row: 1415, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1417 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1417, expected_value: W92000004, label: geography} + - {column: D, row: 1417, expected_value: Males, label: sex} + - {column: E, row: 1417, expected_value: Total, label: employment type} + - {column: J, row: 1417, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1419 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1419, expected_value: W92000004, label: geography} + - {column: D, row: 1419, expected_value: Males, label: sex} + - {column: E, row: 1419, expected_value: Total, label: employment type} + - {column: J, row: 1419, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1421 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1421, expected_value: W92000004, label: geography} + - {column: D, row: 1421, expected_value: Males, label: sex} + - {column: E, row: 1421, expected_value: Total, label: employment type} + - {column: J, row: 1421, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1425 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1425, expected_value: W92000004, label: geography} + - {column: D, row: 1425, expected_value: Males, label: sex} + - {column: E, row: 1425, expected_value: Total, label: employment type} + - {column: J, row: 1425, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1427 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1427, expected_value: W92000004, label: geography} + - {column: D, row: 1427, expected_value: Males, label: sex} + - {column: E, row: 1427, expected_value: Total, label: employment type} + - {column: J, row: 1427, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1429 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1429, expected_value: W92000004, label: geography} + - {column: D, row: 1429, expected_value: Males, label: sex} + - {column: E, row: 1429, expected_value: Total, label: employment type} + - {column: J, row: 1429, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1431 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1431, expected_value: W92000004, label: geography} + - {column: D, row: 1431, expected_value: Males, label: sex} + - {column: E, row: 1431, expected_value: Total, label: employment type} + - {column: J, row: 1431, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1433 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1433, expected_value: W92000004, label: geography} + - {column: D, row: 1433, expected_value: Males, label: sex} + - {column: E, row: 1433, expected_value: Total, label: employment type} + - {column: J, row: 1433, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1435 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1435, expected_value: W92000004, label: geography} + - {column: D, row: 1435, expected_value: Males, label: sex} + - {column: E, row: 1435, expected_value: Total, label: employment type} + - {column: J, row: 1435, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1437 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1437, expected_value: W92000004, label: geography} + - {column: D, row: 1437, expected_value: Males, label: sex} + - {column: E, row: 1437, expected_value: Total, label: employment type} + - {column: J, row: 1437, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1439 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1439, expected_value: W92000004, label: geography} + - {column: D, row: 1439, expected_value: Males, label: sex} + - {column: E, row: 1439, expected_value: Total, label: employment type} + - {column: J, row: 1439, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1441 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1441, expected_value: W92000004, label: geography} + - {column: D, row: 1441, expected_value: Males, label: sex} + - {column: E, row: 1441, expected_value: Total, label: employment type} + - {column: J, row: 1441, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1586 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1586, expected_value: W92000004, label: geography} + - {column: D, row: 1586, expected_value: Males, label: sex} + - {column: E, row: 1586, expected_value: Employee, label: employment type} + - {column: J, row: 1586, expected_value: Value, label: measure} + - {column: L, row: 1587, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1588 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1588, expected_value: W92000004, label: geography} + - {column: D, row: 1588, expected_value: Males, label: sex} + - {column: E, row: 1588, expected_value: Employee, label: employment type} + - {column: J, row: 1588, expected_value: Value, label: measure} + - {column: L, row: 1589, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1590 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1590, expected_value: W92000004, label: geography} + - {column: D, row: 1590, expected_value: Males, label: sex} + - {column: E, row: 1590, expected_value: Employee, label: employment type} + - {column: J, row: 1590, expected_value: Value, label: measure} + - {column: L, row: 1591, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1592 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1592, expected_value: W92000004, label: geography} + - {column: D, row: 1592, expected_value: Males, label: sex} + - {column: E, row: 1592, expected_value: Employee, label: employment type} + - {column: J, row: 1592, expected_value: Value, label: measure} + - {column: L, row: 1593, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1594 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1594, expected_value: W92000004, label: geography} + - {column: D, row: 1594, expected_value: Males, label: sex} + - {column: E, row: 1594, expected_value: Employee, label: employment type} + - {column: J, row: 1594, expected_value: Value, label: measure} + - {column: L, row: 1595, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1596 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1596, expected_value: W92000004, label: geography} + - {column: D, row: 1596, expected_value: Males, label: sex} + - {column: E, row: 1596, expected_value: Employee, label: employment type} + - {column: J, row: 1596, expected_value: Value, label: measure} + - {column: L, row: 1597, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1598 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1598, expected_value: W92000004, label: geography} + - {column: D, row: 1598, expected_value: Males, label: sex} + - {column: E, row: 1598, expected_value: Employee, label: employment type} + - {column: J, row: 1598, expected_value: Value, label: measure} + - {column: L, row: 1599, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1600 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1600, expected_value: W92000004, label: geography} + - {column: D, row: 1600, expected_value: Males, label: sex} + - {column: E, row: 1600, expected_value: Employee, label: employment type} + - {column: J, row: 1600, expected_value: Value, label: measure} + - {column: L, row: 1601, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1602 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1602, expected_value: W92000004, label: geography} + - {column: D, row: 1602, expected_value: Males, label: sex} + - {column: E, row: 1602, expected_value: Employee, label: employment type} + - {column: J, row: 1602, expected_value: Value, label: measure} + - {column: L, row: 1603, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1604 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1604, expected_value: W92000004, label: geography} + - {column: D, row: 1604, expected_value: Males, label: sex} + - {column: E, row: 1604, expected_value: Employee, label: employment type} + - {column: J, row: 1604, expected_value: Value, label: measure} + - {column: L, row: 1605, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1606 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1606, expected_value: W92000004, label: geography} + - {column: D, row: 1606, expected_value: Males, label: sex} + - {column: E, row: 1606, expected_value: Employee, label: employment type} + - {column: J, row: 1606, expected_value: Value, label: measure} + - {column: L, row: 1607, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1608 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1608, expected_value: W92000004, label: geography} + - {column: D, row: 1608, expected_value: Males, label: sex} + - {column: E, row: 1608, expected_value: Employee, label: employment type} + - {column: J, row: 1608, expected_value: Value, label: measure} + - {column: L, row: 1609, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1610 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1610, expected_value: W92000004, label: geography} + - {column: D, row: 1610, expected_value: Males, label: sex} + - {column: E, row: 1610, expected_value: Employee, label: employment type} + - {column: J, row: 1610, expected_value: Value, label: measure} + - {column: L, row: 1611, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1612 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1612, expected_value: W92000004, label: geography} + - {column: D, row: 1612, expected_value: Males, label: sex} + - {column: E, row: 1612, expected_value: Employee, label: employment type} + - {column: J, row: 1612, expected_value: Value, label: measure} + - {column: L, row: 1613, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1614 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1614, expected_value: W92000004, label: geography} + - {column: D, row: 1614, expected_value: Males, label: sex} + - {column: E, row: 1614, expected_value: Employee, label: employment type} + - {column: J, row: 1614, expected_value: Value, label: measure} + - {column: L, row: 1615, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1616 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1616, expected_value: W92000004, label: geography} + - {column: D, row: 1616, expected_value: Males, label: sex} + - {column: E, row: 1616, expected_value: Employee, label: employment type} + - {column: J, row: 1616, expected_value: Value, label: measure} + - {column: L, row: 1617, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1618 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1618, expected_value: W92000004, label: geography} + - {column: D, row: 1618, expected_value: Males, label: sex} + - {column: E, row: 1618, expected_value: Employee, label: employment type} + - {column: J, row: 1618, expected_value: Value, label: measure} + - {column: L, row: 1619, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1620 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1620, expected_value: W92000004, label: geography} + - {column: D, row: 1620, expected_value: Males, label: sex} + - {column: E, row: 1620, expected_value: Employee, label: employment type} + - {column: J, row: 1620, expected_value: Value, label: measure} + - {column: L, row: 1621, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1622 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1622, expected_value: W92000004, label: geography} + - {column: D, row: 1622, expected_value: Males, label: sex} + - {column: E, row: 1622, expected_value: Employee, label: employment type} + - {column: J, row: 1622, expected_value: Value, label: measure} + - {column: L, row: 1623, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1624 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1624, expected_value: W92000004, label: geography} + - {column: D, row: 1624, expected_value: Males, label: sex} + - {column: E, row: 1624, expected_value: Employee, label: employment type} + - {column: J, row: 1624, expected_value: Value, label: measure} + - {column: L, row: 1625, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1626 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1626, expected_value: W92000004, label: geography} + - {column: D, row: 1626, expected_value: Males, label: sex} + - {column: E, row: 1626, expected_value: Employee, label: employment type} + - {column: J, row: 1626, expected_value: Value, label: measure} + - {column: L, row: 1627, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1628 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1628, expected_value: W92000004, label: geography} + - {column: D, row: 1628, expected_value: Males, label: sex} + - {column: E, row: 1628, expected_value: Employee, label: employment type} + - {column: J, row: 1628, expected_value: Value, label: measure} + - {column: L, row: 1629, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1630 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1630, expected_value: W92000004, label: geography} + - {column: D, row: 1630, expected_value: Males, label: sex} + - {column: E, row: 1630, expected_value: Employee, label: employment type} + - {column: J, row: 1630, expected_value: Value, label: measure} + - {column: L, row: 1631, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1632 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1632, expected_value: W92000004, label: geography} + - {column: D, row: 1632, expected_value: Males, label: sex} + - {column: E, row: 1632, expected_value: Employee, label: employment type} + - {column: J, row: 1632, expected_value: Value, label: measure} + - {column: L, row: 1633, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1634 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1634, expected_value: W92000004, label: geography} + - {column: D, row: 1634, expected_value: Males, label: sex} + - {column: E, row: 1634, expected_value: Employee, label: employment type} + - {column: J, row: 1634, expected_value: Value, label: measure} + - {column: L, row: 1635, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1636 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1636, expected_value: W92000004, label: geography} + - {column: D, row: 1636, expected_value: Males, label: sex} + - {column: E, row: 1636, expected_value: Employee, label: employment type} + - {column: J, row: 1636, expected_value: Value, label: measure} + - {column: L, row: 1637, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 1638 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 1638, expected_value: W92000004, label: geography} + - {column: D, row: 1638, expected_value: Males, label: sex} + - {column: E, row: 1638, expected_value: Employee, label: employment type} + - {column: J, row: 1638, expected_value: Value, label: measure} + - {column: L, row: 1639, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1640 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1640, expected_value: W92000004, label: geography} + - {column: D, row: 1640, expected_value: Males, label: sex} + - {column: E, row: 1640, expected_value: Employee, label: employment type} + - {column: J, row: 1640, expected_value: Value, label: measure} + - {column: L, row: 1641, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1642 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1642, expected_value: W92000004, label: geography} + - {column: D, row: 1642, expected_value: Males, label: sex} + - {column: E, row: 1642, expected_value: Employee, label: employment type} + - {column: J, row: 1642, expected_value: Value, label: measure} + - {column: L, row: 1643, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1644 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1644, expected_value: W92000004, label: geography} + - {column: D, row: 1644, expected_value: Males, label: sex} + - {column: E, row: 1644, expected_value: Employee, label: employment type} + - {column: J, row: 1644, expected_value: Value, label: measure} + - {column: L, row: 1645, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1646 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1646, expected_value: W92000004, label: geography} + - {column: D, row: 1646, expected_value: Males, label: sex} + - {column: E, row: 1646, expected_value: Employee, label: employment type} + - {column: J, row: 1646, expected_value: Value, label: measure} + - {column: L, row: 1647, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1648 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1648, expected_value: W92000004, label: geography} + - {column: D, row: 1648, expected_value: Males, label: sex} + - {column: E, row: 1648, expected_value: Employee, label: employment type} + - {column: J, row: 1648, expected_value: Value, label: measure} + - {column: L, row: 1649, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1650 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1650, expected_value: W92000004, label: geography} + - {column: D, row: 1650, expected_value: Males, label: sex} + - {column: E, row: 1650, expected_value: Employee, label: employment type} + - {column: J, row: 1650, expected_value: Value, label: measure} + - {column: L, row: 1651, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1652 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1652, expected_value: W92000004, label: geography} + - {column: D, row: 1652, expected_value: Males, label: sex} + - {column: E, row: 1652, expected_value: Employee, label: employment type} + - {column: J, row: 1652, expected_value: Value, label: measure} + - {column: L, row: 1653, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1654 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1654, expected_value: W92000004, label: geography} + - {column: D, row: 1654, expected_value: Males, label: sex} + - {column: E, row: 1654, expected_value: Employee, label: employment type} + - {column: J, row: 1654, expected_value: Value, label: measure} + - {column: L, row: 1655, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1656 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1656, expected_value: W92000004, label: geography} + - {column: D, row: 1656, expected_value: Males, label: sex} + - {column: E, row: 1656, expected_value: Employee, label: employment type} + - {column: J, row: 1656, expected_value: Value, label: measure} + - {column: L, row: 1657, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1587 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1587, expected_value: W92000004, label: geography} + - {column: D, row: 1587, expected_value: Males, label: sex} + - {column: E, row: 1587, expected_value: Employee, label: employment type} + - {column: J, row: 1587, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1589 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1589, expected_value: W92000004, label: geography} + - {column: D, row: 1589, expected_value: Males, label: sex} + - {column: E, row: 1589, expected_value: Employee, label: employment type} + - {column: J, row: 1589, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1591 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1591, expected_value: W92000004, label: geography} + - {column: D, row: 1591, expected_value: Males, label: sex} + - {column: E, row: 1591, expected_value: Employee, label: employment type} + - {column: J, row: 1591, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1593 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1593, expected_value: W92000004, label: geography} + - {column: D, row: 1593, expected_value: Males, label: sex} + - {column: E, row: 1593, expected_value: Employee, label: employment type} + - {column: J, row: 1593, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1595 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1595, expected_value: W92000004, label: geography} + - {column: D, row: 1595, expected_value: Males, label: sex} + - {column: E, row: 1595, expected_value: Employee, label: employment type} + - {column: J, row: 1595, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1597 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1597, expected_value: W92000004, label: geography} + - {column: D, row: 1597, expected_value: Males, label: sex} + - {column: E, row: 1597, expected_value: Employee, label: employment type} + - {column: J, row: 1597, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1599 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1599, expected_value: W92000004, label: geography} + - {column: D, row: 1599, expected_value: Males, label: sex} + - {column: E, row: 1599, expected_value: Employee, label: employment type} + - {column: J, row: 1599, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1601 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1601, expected_value: W92000004, label: geography} + - {column: D, row: 1601, expected_value: Males, label: sex} + - {column: E, row: 1601, expected_value: Employee, label: employment type} + - {column: J, row: 1601, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1603 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1603, expected_value: W92000004, label: geography} + - {column: D, row: 1603, expected_value: Males, label: sex} + - {column: E, row: 1603, expected_value: Employee, label: employment type} + - {column: J, row: 1603, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1605 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1605, expected_value: W92000004, label: geography} + - {column: D, row: 1605, expected_value: Males, label: sex} + - {column: E, row: 1605, expected_value: Employee, label: employment type} + - {column: J, row: 1605, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1607 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1607, expected_value: W92000004, label: geography} + - {column: D, row: 1607, expected_value: Males, label: sex} + - {column: E, row: 1607, expected_value: Employee, label: employment type} + - {column: J, row: 1607, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1609 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1609, expected_value: W92000004, label: geography} + - {column: D, row: 1609, expected_value: Males, label: sex} + - {column: E, row: 1609, expected_value: Employee, label: employment type} + - {column: J, row: 1609, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1611 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1611, expected_value: W92000004, label: geography} + - {column: D, row: 1611, expected_value: Males, label: sex} + - {column: E, row: 1611, expected_value: Employee, label: employment type} + - {column: J, row: 1611, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1613 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1613, expected_value: W92000004, label: geography} + - {column: D, row: 1613, expected_value: Males, label: sex} + - {column: E, row: 1613, expected_value: Employee, label: employment type} + - {column: J, row: 1613, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1615 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1615, expected_value: W92000004, label: geography} + - {column: D, row: 1615, expected_value: Males, label: sex} + - {column: E, row: 1615, expected_value: Employee, label: employment type} + - {column: J, row: 1615, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1617 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1617, expected_value: W92000004, label: geography} + - {column: D, row: 1617, expected_value: Males, label: sex} + - {column: E, row: 1617, expected_value: Employee, label: employment type} + - {column: J, row: 1617, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1619 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1619, expected_value: W92000004, label: geography} + - {column: D, row: 1619, expected_value: Males, label: sex} + - {column: E, row: 1619, expected_value: Employee, label: employment type} + - {column: J, row: 1619, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1623 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1623, expected_value: W92000004, label: geography} + - {column: D, row: 1623, expected_value: Males, label: sex} + - {column: E, row: 1623, expected_value: Employee, label: employment type} + - {column: J, row: 1623, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1625 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1625, expected_value: W92000004, label: geography} + - {column: D, row: 1625, expected_value: Males, label: sex} + - {column: E, row: 1625, expected_value: Employee, label: employment type} + - {column: J, row: 1625, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1627 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1627, expected_value: W92000004, label: geography} + - {column: D, row: 1627, expected_value: Males, label: sex} + - {column: E, row: 1627, expected_value: Employee, label: employment type} + - {column: J, row: 1627, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1629 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1629, expected_value: W92000004, label: geography} + - {column: D, row: 1629, expected_value: Males, label: sex} + - {column: E, row: 1629, expected_value: Employee, label: employment type} + - {column: J, row: 1629, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1631 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1631, expected_value: W92000004, label: geography} + - {column: D, row: 1631, expected_value: Males, label: sex} + - {column: E, row: 1631, expected_value: Employee, label: employment type} + - {column: J, row: 1631, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1633 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1633, expected_value: W92000004, label: geography} + - {column: D, row: 1633, expected_value: Males, label: sex} + - {column: E, row: 1633, expected_value: Employee, label: employment type} + - {column: J, row: 1633, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1635 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1635, expected_value: W92000004, label: geography} + - {column: D, row: 1635, expected_value: Males, label: sex} + - {column: E, row: 1635, expected_value: Employee, label: employment type} + - {column: J, row: 1635, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1637 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1637, expected_value: W92000004, label: geography} + - {column: D, row: 1637, expected_value: Males, label: sex} + - {column: E, row: 1637, expected_value: Employee, label: employment type} + - {column: J, row: 1637, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1641 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1641, expected_value: W92000004, label: geography} + - {column: D, row: 1641, expected_value: Males, label: sex} + - {column: E, row: 1641, expected_value: Employee, label: employment type} + - {column: J, row: 1641, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1643 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1643, expected_value: W92000004, label: geography} + - {column: D, row: 1643, expected_value: Males, label: sex} + - {column: E, row: 1643, expected_value: Employee, label: employment type} + - {column: J, row: 1643, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1645 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1645, expected_value: W92000004, label: geography} + - {column: D, row: 1645, expected_value: Males, label: sex} + - {column: E, row: 1645, expected_value: Employee, label: employment type} + - {column: J, row: 1645, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1647 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1647, expected_value: W92000004, label: geography} + - {column: D, row: 1647, expected_value: Males, label: sex} + - {column: E, row: 1647, expected_value: Employee, label: employment type} + - {column: J, row: 1647, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1649 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1649, expected_value: W92000004, label: geography} + - {column: D, row: 1649, expected_value: Males, label: sex} + - {column: E, row: 1649, expected_value: Employee, label: employment type} + - {column: J, row: 1649, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1651 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1651, expected_value: W92000004, label: geography} + - {column: D, row: 1651, expected_value: Males, label: sex} + - {column: E, row: 1651, expected_value: Employee, label: employment type} + - {column: J, row: 1651, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1653 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1653, expected_value: W92000004, label: geography} + - {column: D, row: 1653, expected_value: Males, label: sex} + - {column: E, row: 1653, expected_value: Employee, label: employment type} + - {column: J, row: 1653, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1655 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1655, expected_value: W92000004, label: geography} + - {column: D, row: 1655, expected_value: Males, label: sex} + - {column: E, row: 1655, expected_value: Employee, label: employment type} + - {column: J, row: 1655, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1657 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1657, expected_value: W92000004, label: geography} + - {column: D, row: 1657, expected_value: Males, label: sex} + - {column: E, row: 1657, expected_value: Employee, label: employment type} + - {column: J, row: 1657, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1802 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1802, expected_value: W92000004, label: geography} + - {column: D, row: 1802, expected_value: Males, label: sex} + - {column: E, row: 1802, expected_value: Self-employed, label: employment type} + - {column: J, row: 1802, expected_value: Value, label: measure} + - {column: L, row: 1803, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1804 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1804, expected_value: W92000004, label: geography} + - {column: D, row: 1804, expected_value: Males, label: sex} + - {column: E, row: 1804, expected_value: Self-employed, label: employment type} + - {column: J, row: 1804, expected_value: Value, label: measure} + - {column: L, row: 1805, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1806 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1806, expected_value: W92000004, label: geography} + - {column: D, row: 1806, expected_value: Males, label: sex} + - {column: E, row: 1806, expected_value: Self-employed, label: employment type} + - {column: J, row: 1806, expected_value: Value, label: measure} + - {column: L, row: 1807, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1808 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1808, expected_value: W92000004, label: geography} + - {column: D, row: 1808, expected_value: Males, label: sex} + - {column: E, row: 1808, expected_value: Self-employed, label: employment type} + - {column: J, row: 1808, expected_value: Value, label: measure} + - {column: L, row: 1809, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1810 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1810, expected_value: W92000004, label: geography} + - {column: D, row: 1810, expected_value: Males, label: sex} + - {column: E, row: 1810, expected_value: Self-employed, label: employment type} + - {column: J, row: 1810, expected_value: Value, label: measure} + - {column: L, row: 1811, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1812 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1812, expected_value: W92000004, label: geography} + - {column: D, row: 1812, expected_value: Males, label: sex} + - {column: E, row: 1812, expected_value: Self-employed, label: employment type} + - {column: J, row: 1812, expected_value: Value, label: measure} + - {column: L, row: 1813, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1814 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1814, expected_value: W92000004, label: geography} + - {column: D, row: 1814, expected_value: Males, label: sex} + - {column: E, row: 1814, expected_value: Self-employed, label: employment type} + - {column: J, row: 1814, expected_value: Value, label: measure} + - {column: L, row: 1815, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1816 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1816, expected_value: W92000004, label: geography} + - {column: D, row: 1816, expected_value: Males, label: sex} + - {column: E, row: 1816, expected_value: Self-employed, label: employment type} + - {column: J, row: 1816, expected_value: Value, label: measure} + - {column: L, row: 1817, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1818 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1818, expected_value: W92000004, label: geography} + - {column: D, row: 1818, expected_value: Males, label: sex} + - {column: E, row: 1818, expected_value: Self-employed, label: employment type} + - {column: J, row: 1818, expected_value: Value, label: measure} + - {column: L, row: 1819, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1820 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1820, expected_value: W92000004, label: geography} + - {column: D, row: 1820, expected_value: Males, label: sex} + - {column: E, row: 1820, expected_value: Self-employed, label: employment type} + - {column: J, row: 1820, expected_value: Value, label: measure} + - {column: L, row: 1821, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1822 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1822, expected_value: W92000004, label: geography} + - {column: D, row: 1822, expected_value: Males, label: sex} + - {column: E, row: 1822, expected_value: Self-employed, label: employment type} + - {column: J, row: 1822, expected_value: Value, label: measure} + - {column: L, row: 1823, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1828 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1828, expected_value: W92000004, label: geography} + - {column: D, row: 1828, expected_value: Males, label: sex} + - {column: E, row: 1828, expected_value: Self-employed, label: employment type} + - {column: J, row: 1828, expected_value: Value, label: measure} + - {column: L, row: 1829, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1830 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1830, expected_value: W92000004, label: geography} + - {column: D, row: 1830, expected_value: Males, label: sex} + - {column: E, row: 1830, expected_value: Self-employed, label: employment type} + - {column: J, row: 1830, expected_value: Value, label: measure} + - {column: L, row: 1831, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1832 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1832, expected_value: W92000004, label: geography} + - {column: D, row: 1832, expected_value: Males, label: sex} + - {column: E, row: 1832, expected_value: Self-employed, label: employment type} + - {column: J, row: 1832, expected_value: Value, label: measure} + - {column: L, row: 1833, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1834 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1834, expected_value: W92000004, label: geography} + - {column: D, row: 1834, expected_value: Males, label: sex} + - {column: E, row: 1834, expected_value: Self-employed, label: employment type} + - {column: J, row: 1834, expected_value: Value, label: measure} + - {column: L, row: 1835, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1838 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1838, expected_value: W92000004, label: geography} + - {column: D, row: 1838, expected_value: Males, label: sex} + - {column: E, row: 1838, expected_value: Self-employed, label: employment type} + - {column: J, row: 1838, expected_value: Value, label: measure} + - {column: L, row: 1839, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1840 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1840, expected_value: W92000004, label: geography} + - {column: D, row: 1840, expected_value: Males, label: sex} + - {column: E, row: 1840, expected_value: Self-employed, label: employment type} + - {column: J, row: 1840, expected_value: Value, label: measure} + - {column: L, row: 1841, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1842 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1842, expected_value: W92000004, label: geography} + - {column: D, row: 1842, expected_value: Males, label: sex} + - {column: E, row: 1842, expected_value: Self-employed, label: employment type} + - {column: J, row: 1842, expected_value: Value, label: measure} + - {column: L, row: 1843, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1844 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1844, expected_value: W92000004, label: geography} + - {column: D, row: 1844, expected_value: Males, label: sex} + - {column: E, row: 1844, expected_value: Self-employed, label: employment type} + - {column: J, row: 1844, expected_value: Value, label: measure} + - {column: L, row: 1845, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1846 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1846, expected_value: W92000004, label: geography} + - {column: D, row: 1846, expected_value: Males, label: sex} + - {column: E, row: 1846, expected_value: Self-employed, label: employment type} + - {column: J, row: 1846, expected_value: Value, label: measure} + - {column: L, row: 1847, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1848 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1848, expected_value: W92000004, label: geography} + - {column: D, row: 1848, expected_value: Males, label: sex} + - {column: E, row: 1848, expected_value: Self-employed, label: employment type} + - {column: J, row: 1848, expected_value: Value, label: measure} + - {column: L, row: 1849, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1850 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1850, expected_value: W92000004, label: geography} + - {column: D, row: 1850, expected_value: Males, label: sex} + - {column: E, row: 1850, expected_value: Self-employed, label: employment type} + - {column: J, row: 1850, expected_value: Value, label: measure} + - {column: L, row: 1851, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1852 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1852, expected_value: W92000004, label: geography} + - {column: D, row: 1852, expected_value: Males, label: sex} + - {column: E, row: 1852, expected_value: Self-employed, label: employment type} + - {column: J, row: 1852, expected_value: Value, label: measure} + - {column: L, row: 1853, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1856 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1856, expected_value: W92000004, label: geography} + - {column: D, row: 1856, expected_value: Males, label: sex} + - {column: E, row: 1856, expected_value: Self-employed, label: employment type} + - {column: J, row: 1856, expected_value: Value, label: measure} + - {column: L, row: 1857, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1858 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1858, expected_value: W92000004, label: geography} + - {column: D, row: 1858, expected_value: Males, label: sex} + - {column: E, row: 1858, expected_value: Self-employed, label: employment type} + - {column: J, row: 1858, expected_value: Value, label: measure} + - {column: L, row: 1859, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1862 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1862, expected_value: W92000004, label: geography} + - {column: D, row: 1862, expected_value: Males, label: sex} + - {column: E, row: 1862, expected_value: Self-employed, label: employment type} + - {column: J, row: 1862, expected_value: Value, label: measure} + - {column: L, row: 1863, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1864 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1864, expected_value: W92000004, label: geography} + - {column: D, row: 1864, expected_value: Males, label: sex} + - {column: E, row: 1864, expected_value: Self-employed, label: employment type} + - {column: J, row: 1864, expected_value: Value, label: measure} + - {column: L, row: 1865, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1866 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1866, expected_value: W92000004, label: geography} + - {column: D, row: 1866, expected_value: Males, label: sex} + - {column: E, row: 1866, expected_value: Self-employed, label: employment type} + - {column: J, row: 1866, expected_value: Value, label: measure} + - {column: L, row: 1867, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1868 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1868, expected_value: W92000004, label: geography} + - {column: D, row: 1868, expected_value: Males, label: sex} + - {column: E, row: 1868, expected_value: Self-employed, label: employment type} + - {column: J, row: 1868, expected_value: Value, label: measure} + - {column: L, row: 1869, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1870 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1870, expected_value: W92000004, label: geography} + - {column: D, row: 1870, expected_value: Males, label: sex} + - {column: E, row: 1870, expected_value: Self-employed, label: employment type} + - {column: J, row: 1870, expected_value: Value, label: measure} + - {column: L, row: 1871, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1872 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1872, expected_value: W92000004, label: geography} + - {column: D, row: 1872, expected_value: Males, label: sex} + - {column: E, row: 1872, expected_value: Self-employed, label: employment type} + - {column: J, row: 1872, expected_value: Value, label: measure} + - {column: L, row: 1873, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1803 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1803, expected_value: W92000004, label: geography} + - {column: D, row: 1803, expected_value: Males, label: sex} + - {column: E, row: 1803, expected_value: Self-employed, label: employment type} + - {column: J, row: 1803, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1805 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1805, expected_value: W92000004, label: geography} + - {column: D, row: 1805, expected_value: Males, label: sex} + - {column: E, row: 1805, expected_value: Self-employed, label: employment type} + - {column: J, row: 1805, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1807 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1807, expected_value: W92000004, label: geography} + - {column: D, row: 1807, expected_value: Males, label: sex} + - {column: E, row: 1807, expected_value: Self-employed, label: employment type} + - {column: J, row: 1807, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1809 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1809, expected_value: W92000004, label: geography} + - {column: D, row: 1809, expected_value: Males, label: sex} + - {column: E, row: 1809, expected_value: Self-employed, label: employment type} + - {column: J, row: 1809, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1811 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1811, expected_value: W92000004, label: geography} + - {column: D, row: 1811, expected_value: Males, label: sex} + - {column: E, row: 1811, expected_value: Self-employed, label: employment type} + - {column: J, row: 1811, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1813 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1813, expected_value: W92000004, label: geography} + - {column: D, row: 1813, expected_value: Males, label: sex} + - {column: E, row: 1813, expected_value: Self-employed, label: employment type} + - {column: J, row: 1813, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1817 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1817, expected_value: W92000004, label: geography} + - {column: D, row: 1817, expected_value: Males, label: sex} + - {column: E, row: 1817, expected_value: Self-employed, label: employment type} + - {column: J, row: 1817, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1819 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1819, expected_value: W92000004, label: geography} + - {column: D, row: 1819, expected_value: Males, label: sex} + - {column: E, row: 1819, expected_value: Self-employed, label: employment type} + - {column: J, row: 1819, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1821 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1821, expected_value: W92000004, label: geography} + - {column: D, row: 1821, expected_value: Males, label: sex} + - {column: E, row: 1821, expected_value: Self-employed, label: employment type} + - {column: J, row: 1821, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1829 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1829, expected_value: W92000004, label: geography} + - {column: D, row: 1829, expected_value: Males, label: sex} + - {column: E, row: 1829, expected_value: Self-employed, label: employment type} + - {column: J, row: 1829, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1831 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1831, expected_value: W92000004, label: geography} + - {column: D, row: 1831, expected_value: Males, label: sex} + - {column: E, row: 1831, expected_value: Self-employed, label: employment type} + - {column: J, row: 1831, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1839 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1839, expected_value: W92000004, label: geography} + - {column: D, row: 1839, expected_value: Males, label: sex} + - {column: E, row: 1839, expected_value: Self-employed, label: employment type} + - {column: J, row: 1839, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1841 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1841, expected_value: W92000004, label: geography} + - {column: D, row: 1841, expected_value: Males, label: sex} + - {column: E, row: 1841, expected_value: Self-employed, label: employment type} + - {column: J, row: 1841, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1843 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1843, expected_value: W92000004, label: geography} + - {column: D, row: 1843, expected_value: Males, label: sex} + - {column: E, row: 1843, expected_value: Self-employed, label: employment type} + - {column: J, row: 1843, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1845 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1845, expected_value: W92000004, label: geography} + - {column: D, row: 1845, expected_value: Males, label: sex} + - {column: E, row: 1845, expected_value: Self-employed, label: employment type} + - {column: J, row: 1845, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1857 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1857, expected_value: W92000004, label: geography} + - {column: D, row: 1857, expected_value: Males, label: sex} + - {column: E, row: 1857, expected_value: Self-employed, label: employment type} + - {column: J, row: 1857, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1859 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1859, expected_value: W92000004, label: geography} + - {column: D, row: 1859, expected_value: Males, label: sex} + - {column: E, row: 1859, expected_value: Self-employed, label: employment type} + - {column: J, row: 1859, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1863 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1863, expected_value: W92000004, label: geography} + - {column: D, row: 1863, expected_value: Males, label: sex} + - {column: E, row: 1863, expected_value: Self-employed, label: employment type} + - {column: J, row: 1863, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1865 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1865, expected_value: W92000004, label: geography} + - {column: D, row: 1865, expected_value: Males, label: sex} + - {column: E, row: 1865, expected_value: Self-employed, label: employment type} + - {column: J, row: 1865, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1867 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1867, expected_value: W92000004, label: geography} + - {column: D, row: 1867, expected_value: Males, label: sex} + - {column: E, row: 1867, expected_value: Self-employed, label: employment type} + - {column: J, row: 1867, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1869 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1869, expected_value: W92000004, label: geography} + - {column: D, row: 1869, expected_value: Males, label: sex} + - {column: E, row: 1869, expected_value: Self-employed, label: employment type} + - {column: J, row: 1869, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1871 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1871, expected_value: W92000004, label: geography} + - {column: D, row: 1871, expected_value: Males, label: sex} + - {column: E, row: 1871, expected_value: Self-employed, label: employment type} + - {column: J, row: 1871, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1873 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1873, expected_value: W92000004, label: geography} + - {column: D, row: 1873, expected_value: Males, label: sex} + - {column: E, row: 1873, expected_value: Self-employed, label: employment type} + - {column: J, row: 1873, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1442 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1442, expected_value: W92000004, label: geography} + - {column: D, row: 1442, expected_value: Females, label: sex} + - {column: E, row: 1442, expected_value: Total, label: employment type} + - {column: J, row: 1442, expected_value: Value, label: measure} + - {column: L, row: 1443, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1444 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1444, expected_value: W92000004, label: geography} + - {column: D, row: 1444, expected_value: Females, label: sex} + - {column: E, row: 1444, expected_value: Total, label: employment type} + - {column: J, row: 1444, expected_value: Value, label: measure} + - {column: L, row: 1445, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1446 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1446, expected_value: W92000004, label: geography} + - {column: D, row: 1446, expected_value: Females, label: sex} + - {column: E, row: 1446, expected_value: Total, label: employment type} + - {column: J, row: 1446, expected_value: Value, label: measure} + - {column: L, row: 1447, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1448 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1448, expected_value: W92000004, label: geography} + - {column: D, row: 1448, expected_value: Females, label: sex} + - {column: E, row: 1448, expected_value: Total, label: employment type} + - {column: J, row: 1448, expected_value: Value, label: measure} + - {column: L, row: 1449, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1450 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1450, expected_value: W92000004, label: geography} + - {column: D, row: 1450, expected_value: Females, label: sex} + - {column: E, row: 1450, expected_value: Total, label: employment type} + - {column: J, row: 1450, expected_value: Value, label: measure} + - {column: L, row: 1451, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1452 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1452, expected_value: W92000004, label: geography} + - {column: D, row: 1452, expected_value: Females, label: sex} + - {column: E, row: 1452, expected_value: Total, label: employment type} + - {column: J, row: 1452, expected_value: Value, label: measure} + - {column: L, row: 1453, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1454 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1454, expected_value: W92000004, label: geography} + - {column: D, row: 1454, expected_value: Females, label: sex} + - {column: E, row: 1454, expected_value: Total, label: employment type} + - {column: J, row: 1454, expected_value: Value, label: measure} + - {column: L, row: 1455, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1456 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1456, expected_value: W92000004, label: geography} + - {column: D, row: 1456, expected_value: Females, label: sex} + - {column: E, row: 1456, expected_value: Total, label: employment type} + - {column: J, row: 1456, expected_value: Value, label: measure} + - {column: L, row: 1457, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1458 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1458, expected_value: W92000004, label: geography} + - {column: D, row: 1458, expected_value: Females, label: sex} + - {column: E, row: 1458, expected_value: Total, label: employment type} + - {column: J, row: 1458, expected_value: Value, label: measure} + - {column: L, row: 1459, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1460 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1460, expected_value: W92000004, label: geography} + - {column: D, row: 1460, expected_value: Females, label: sex} + - {column: E, row: 1460, expected_value: Total, label: employment type} + - {column: J, row: 1460, expected_value: Value, label: measure} + - {column: L, row: 1461, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1462 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1462, expected_value: W92000004, label: geography} + - {column: D, row: 1462, expected_value: Females, label: sex} + - {column: E, row: 1462, expected_value: Total, label: employment type} + - {column: J, row: 1462, expected_value: Value, label: measure} + - {column: L, row: 1463, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1464 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1464, expected_value: W92000004, label: geography} + - {column: D, row: 1464, expected_value: Females, label: sex} + - {column: E, row: 1464, expected_value: Total, label: employment type} + - {column: J, row: 1464, expected_value: Value, label: measure} + - {column: L, row: 1465, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1466 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1466, expected_value: W92000004, label: geography} + - {column: D, row: 1466, expected_value: Females, label: sex} + - {column: E, row: 1466, expected_value: Total, label: employment type} + - {column: J, row: 1466, expected_value: Value, label: measure} + - {column: L, row: 1467, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1468 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1468, expected_value: W92000004, label: geography} + - {column: D, row: 1468, expected_value: Females, label: sex} + - {column: E, row: 1468, expected_value: Total, label: employment type} + - {column: J, row: 1468, expected_value: Value, label: measure} + - {column: L, row: 1469, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1470 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1470, expected_value: W92000004, label: geography} + - {column: D, row: 1470, expected_value: Females, label: sex} + - {column: E, row: 1470, expected_value: Total, label: employment type} + - {column: J, row: 1470, expected_value: Value, label: measure} + - {column: L, row: 1471, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1472 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1472, expected_value: W92000004, label: geography} + - {column: D, row: 1472, expected_value: Females, label: sex} + - {column: E, row: 1472, expected_value: Total, label: employment type} + - {column: J, row: 1472, expected_value: Value, label: measure} + - {column: L, row: 1473, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1474 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1474, expected_value: W92000004, label: geography} + - {column: D, row: 1474, expected_value: Females, label: sex} + - {column: E, row: 1474, expected_value: Total, label: employment type} + - {column: J, row: 1474, expected_value: Value, label: measure} + - {column: L, row: 1475, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1476 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1476, expected_value: W92000004, label: geography} + - {column: D, row: 1476, expected_value: Females, label: sex} + - {column: E, row: 1476, expected_value: Total, label: employment type} + - {column: J, row: 1476, expected_value: Value, label: measure} + - {column: L, row: 1477, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1478 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1478, expected_value: W92000004, label: geography} + - {column: D, row: 1478, expected_value: Females, label: sex} + - {column: E, row: 1478, expected_value: Total, label: employment type} + - {column: J, row: 1478, expected_value: Value, label: measure} + - {column: L, row: 1479, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1480 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1480, expected_value: W92000004, label: geography} + - {column: D, row: 1480, expected_value: Females, label: sex} + - {column: E, row: 1480, expected_value: Total, label: employment type} + - {column: J, row: 1480, expected_value: Value, label: measure} + - {column: L, row: 1481, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1482 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1482, expected_value: W92000004, label: geography} + - {column: D, row: 1482, expected_value: Females, label: sex} + - {column: E, row: 1482, expected_value: Total, label: employment type} + - {column: J, row: 1482, expected_value: Value, label: measure} + - {column: L, row: 1483, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1484 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1484, expected_value: W92000004, label: geography} + - {column: D, row: 1484, expected_value: Females, label: sex} + - {column: E, row: 1484, expected_value: Total, label: employment type} + - {column: J, row: 1484, expected_value: Value, label: measure} + - {column: L, row: 1485, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1486 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1486, expected_value: W92000004, label: geography} + - {column: D, row: 1486, expected_value: Females, label: sex} + - {column: E, row: 1486, expected_value: Total, label: employment type} + - {column: J, row: 1486, expected_value: Value, label: measure} + - {column: L, row: 1487, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1488 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1488, expected_value: W92000004, label: geography} + - {column: D, row: 1488, expected_value: Females, label: sex} + - {column: E, row: 1488, expected_value: Total, label: employment type} + - {column: J, row: 1488, expected_value: Value, label: measure} + - {column: L, row: 1489, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1490 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1490, expected_value: W92000004, label: geography} + - {column: D, row: 1490, expected_value: Females, label: sex} + - {column: E, row: 1490, expected_value: Total, label: employment type} + - {column: J, row: 1490, expected_value: Value, label: measure} + - {column: L, row: 1491, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1492 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1492, expected_value: W92000004, label: geography} + - {column: D, row: 1492, expected_value: Females, label: sex} + - {column: E, row: 1492, expected_value: Total, label: employment type} + - {column: J, row: 1492, expected_value: Value, label: measure} + - {column: L, row: 1493, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1496 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1496, expected_value: W92000004, label: geography} + - {column: D, row: 1496, expected_value: Females, label: sex} + - {column: E, row: 1496, expected_value: Total, label: employment type} + - {column: J, row: 1496, expected_value: Value, label: measure} + - {column: L, row: 1497, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1498 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1498, expected_value: W92000004, label: geography} + - {column: D, row: 1498, expected_value: Females, label: sex} + - {column: E, row: 1498, expected_value: Total, label: employment type} + - {column: J, row: 1498, expected_value: Value, label: measure} + - {column: L, row: 1499, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1500 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1500, expected_value: W92000004, label: geography} + - {column: D, row: 1500, expected_value: Females, label: sex} + - {column: E, row: 1500, expected_value: Total, label: employment type} + - {column: J, row: 1500, expected_value: Value, label: measure} + - {column: L, row: 1501, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1502 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1502, expected_value: W92000004, label: geography} + - {column: D, row: 1502, expected_value: Females, label: sex} + - {column: E, row: 1502, expected_value: Total, label: employment type} + - {column: J, row: 1502, expected_value: Value, label: measure} + - {column: L, row: 1503, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1504 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1504, expected_value: W92000004, label: geography} + - {column: D, row: 1504, expected_value: Females, label: sex} + - {column: E, row: 1504, expected_value: Total, label: employment type} + - {column: J, row: 1504, expected_value: Value, label: measure} + - {column: L, row: 1505, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1506 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1506, expected_value: W92000004, label: geography} + - {column: D, row: 1506, expected_value: Females, label: sex} + - {column: E, row: 1506, expected_value: Total, label: employment type} + - {column: J, row: 1506, expected_value: Value, label: measure} + - {column: L, row: 1507, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1508 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1508, expected_value: W92000004, label: geography} + - {column: D, row: 1508, expected_value: Females, label: sex} + - {column: E, row: 1508, expected_value: Total, label: employment type} + - {column: J, row: 1508, expected_value: Value, label: measure} + - {column: L, row: 1509, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1510 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1510, expected_value: W92000004, label: geography} + - {column: D, row: 1510, expected_value: Females, label: sex} + - {column: E, row: 1510, expected_value: Total, label: employment type} + - {column: J, row: 1510, expected_value: Value, label: measure} + - {column: L, row: 1511, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1512 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1512, expected_value: W92000004, label: geography} + - {column: D, row: 1512, expected_value: Females, label: sex} + - {column: E, row: 1512, expected_value: Total, label: employment type} + - {column: J, row: 1512, expected_value: Value, label: measure} + - {column: L, row: 1513, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1443 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1443, expected_value: W92000004, label: geography} + - {column: D, row: 1443, expected_value: Females, label: sex} + - {column: E, row: 1443, expected_value: Total, label: employment type} + - {column: J, row: 1443, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1445 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1445, expected_value: W92000004, label: geography} + - {column: D, row: 1445, expected_value: Females, label: sex} + - {column: E, row: 1445, expected_value: Total, label: employment type} + - {column: J, row: 1445, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1447 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1447, expected_value: W92000004, label: geography} + - {column: D, row: 1447, expected_value: Females, label: sex} + - {column: E, row: 1447, expected_value: Total, label: employment type} + - {column: J, row: 1447, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1449 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1449, expected_value: W92000004, label: geography} + - {column: D, row: 1449, expected_value: Females, label: sex} + - {column: E, row: 1449, expected_value: Total, label: employment type} + - {column: J, row: 1449, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1451 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1451, expected_value: W92000004, label: geography} + - {column: D, row: 1451, expected_value: Females, label: sex} + - {column: E, row: 1451, expected_value: Total, label: employment type} + - {column: J, row: 1451, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1453 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1453, expected_value: W92000004, label: geography} + - {column: D, row: 1453, expected_value: Females, label: sex} + - {column: E, row: 1453, expected_value: Total, label: employment type} + - {column: J, row: 1453, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1455 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1455, expected_value: W92000004, label: geography} + - {column: D, row: 1455, expected_value: Females, label: sex} + - {column: E, row: 1455, expected_value: Total, label: employment type} + - {column: J, row: 1455, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1457 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1457, expected_value: W92000004, label: geography} + - {column: D, row: 1457, expected_value: Females, label: sex} + - {column: E, row: 1457, expected_value: Total, label: employment type} + - {column: J, row: 1457, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1459 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1459, expected_value: W92000004, label: geography} + - {column: D, row: 1459, expected_value: Females, label: sex} + - {column: E, row: 1459, expected_value: Total, label: employment type} + - {column: J, row: 1459, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1461 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1461, expected_value: W92000004, label: geography} + - {column: D, row: 1461, expected_value: Females, label: sex} + - {column: E, row: 1461, expected_value: Total, label: employment type} + - {column: J, row: 1461, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1463 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1463, expected_value: W92000004, label: geography} + - {column: D, row: 1463, expected_value: Females, label: sex} + - {column: E, row: 1463, expected_value: Total, label: employment type} + - {column: J, row: 1463, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1465 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1465, expected_value: W92000004, label: geography} + - {column: D, row: 1465, expected_value: Females, label: sex} + - {column: E, row: 1465, expected_value: Total, label: employment type} + - {column: J, row: 1465, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1467 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1467, expected_value: W92000004, label: geography} + - {column: D, row: 1467, expected_value: Females, label: sex} + - {column: E, row: 1467, expected_value: Total, label: employment type} + - {column: J, row: 1467, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1469 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1469, expected_value: W92000004, label: geography} + - {column: D, row: 1469, expected_value: Females, label: sex} + - {column: E, row: 1469, expected_value: Total, label: employment type} + - {column: J, row: 1469, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1471 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1471, expected_value: W92000004, label: geography} + - {column: D, row: 1471, expected_value: Females, label: sex} + - {column: E, row: 1471, expected_value: Total, label: employment type} + - {column: J, row: 1471, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1473 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1473, expected_value: W92000004, label: geography} + - {column: D, row: 1473, expected_value: Females, label: sex} + - {column: E, row: 1473, expected_value: Total, label: employment type} + - {column: J, row: 1473, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1475 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1475, expected_value: W92000004, label: geography} + - {column: D, row: 1475, expected_value: Females, label: sex} + - {column: E, row: 1475, expected_value: Total, label: employment type} + - {column: J, row: 1475, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1477 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1477, expected_value: W92000004, label: geography} + - {column: D, row: 1477, expected_value: Females, label: sex} + - {column: E, row: 1477, expected_value: Total, label: employment type} + - {column: J, row: 1477, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1479 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1479, expected_value: W92000004, label: geography} + - {column: D, row: 1479, expected_value: Females, label: sex} + - {column: E, row: 1479, expected_value: Total, label: employment type} + - {column: J, row: 1479, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1481 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1481, expected_value: W92000004, label: geography} + - {column: D, row: 1481, expected_value: Females, label: sex} + - {column: E, row: 1481, expected_value: Total, label: employment type} + - {column: J, row: 1481, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1487 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1487, expected_value: W92000004, label: geography} + - {column: D, row: 1487, expected_value: Females, label: sex} + - {column: E, row: 1487, expected_value: Total, label: employment type} + - {column: J, row: 1487, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1489 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1489, expected_value: W92000004, label: geography} + - {column: D, row: 1489, expected_value: Females, label: sex} + - {column: E, row: 1489, expected_value: Total, label: employment type} + - {column: J, row: 1489, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1491 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1491, expected_value: W92000004, label: geography} + - {column: D, row: 1491, expected_value: Females, label: sex} + - {column: E, row: 1491, expected_value: Total, label: employment type} + - {column: J, row: 1491, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1493 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1493, expected_value: W92000004, label: geography} + - {column: D, row: 1493, expected_value: Females, label: sex} + - {column: E, row: 1493, expected_value: Total, label: employment type} + - {column: J, row: 1493, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1497 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1497, expected_value: W92000004, label: geography} + - {column: D, row: 1497, expected_value: Females, label: sex} + - {column: E, row: 1497, expected_value: Total, label: employment type} + - {column: J, row: 1497, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1499 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1499, expected_value: W92000004, label: geography} + - {column: D, row: 1499, expected_value: Females, label: sex} + - {column: E, row: 1499, expected_value: Total, label: employment type} + - {column: J, row: 1499, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1501 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1501, expected_value: W92000004, label: geography} + - {column: D, row: 1501, expected_value: Females, label: sex} + - {column: E, row: 1501, expected_value: Total, label: employment type} + - {column: J, row: 1501, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1503 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1503, expected_value: W92000004, label: geography} + - {column: D, row: 1503, expected_value: Females, label: sex} + - {column: E, row: 1503, expected_value: Total, label: employment type} + - {column: J, row: 1503, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1505 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1505, expected_value: W92000004, label: geography} + - {column: D, row: 1505, expected_value: Females, label: sex} + - {column: E, row: 1505, expected_value: Total, label: employment type} + - {column: J, row: 1505, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1507 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1507, expected_value: W92000004, label: geography} + - {column: D, row: 1507, expected_value: Females, label: sex} + - {column: E, row: 1507, expected_value: Total, label: employment type} + - {column: J, row: 1507, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1509 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1509, expected_value: W92000004, label: geography} + - {column: D, row: 1509, expected_value: Females, label: sex} + - {column: E, row: 1509, expected_value: Total, label: employment type} + - {column: J, row: 1509, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1511 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1511, expected_value: W92000004, label: geography} + - {column: D, row: 1511, expected_value: Females, label: sex} + - {column: E, row: 1511, expected_value: Total, label: employment type} + - {column: J, row: 1511, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1513 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1513, expected_value: W92000004, label: geography} + - {column: D, row: 1513, expected_value: Females, label: sex} + - {column: E, row: 1513, expected_value: Total, label: employment type} + - {column: J, row: 1513, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1658 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1658, expected_value: W92000004, label: geography} + - {column: D, row: 1658, expected_value: Females, label: sex} + - {column: E, row: 1658, expected_value: Employee, label: employment type} + - {column: J, row: 1658, expected_value: Value, label: measure} + - {column: L, row: 1659, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1660 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1660, expected_value: W92000004, label: geography} + - {column: D, row: 1660, expected_value: Females, label: sex} + - {column: E, row: 1660, expected_value: Employee, label: employment type} + - {column: J, row: 1660, expected_value: Value, label: measure} + - {column: L, row: 1661, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1662 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1662, expected_value: W92000004, label: geography} + - {column: D, row: 1662, expected_value: Females, label: sex} + - {column: E, row: 1662, expected_value: Employee, label: employment type} + - {column: J, row: 1662, expected_value: Value, label: measure} + - {column: L, row: 1663, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1664 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1664, expected_value: W92000004, label: geography} + - {column: D, row: 1664, expected_value: Females, label: sex} + - {column: E, row: 1664, expected_value: Employee, label: employment type} + - {column: J, row: 1664, expected_value: Value, label: measure} + - {column: L, row: 1665, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1666 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1666, expected_value: W92000004, label: geography} + - {column: D, row: 1666, expected_value: Females, label: sex} + - {column: E, row: 1666, expected_value: Employee, label: employment type} + - {column: J, row: 1666, expected_value: Value, label: measure} + - {column: L, row: 1667, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1668 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1668, expected_value: W92000004, label: geography} + - {column: D, row: 1668, expected_value: Females, label: sex} + - {column: E, row: 1668, expected_value: Employee, label: employment type} + - {column: J, row: 1668, expected_value: Value, label: measure} + - {column: L, row: 1669, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1670 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1670, expected_value: W92000004, label: geography} + - {column: D, row: 1670, expected_value: Females, label: sex} + - {column: E, row: 1670, expected_value: Employee, label: employment type} + - {column: J, row: 1670, expected_value: Value, label: measure} + - {column: L, row: 1671, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1672 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1672, expected_value: W92000004, label: geography} + - {column: D, row: 1672, expected_value: Females, label: sex} + - {column: E, row: 1672, expected_value: Employee, label: employment type} + - {column: J, row: 1672, expected_value: Value, label: measure} + - {column: L, row: 1673, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1674 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1674, expected_value: W92000004, label: geography} + - {column: D, row: 1674, expected_value: Females, label: sex} + - {column: E, row: 1674, expected_value: Employee, label: employment type} + - {column: J, row: 1674, expected_value: Value, label: measure} + - {column: L, row: 1675, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1676 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1676, expected_value: W92000004, label: geography} + - {column: D, row: 1676, expected_value: Females, label: sex} + - {column: E, row: 1676, expected_value: Employee, label: employment type} + - {column: J, row: 1676, expected_value: Value, label: measure} + - {column: L, row: 1677, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1678 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1678, expected_value: W92000004, label: geography} + - {column: D, row: 1678, expected_value: Females, label: sex} + - {column: E, row: 1678, expected_value: Employee, label: employment type} + - {column: J, row: 1678, expected_value: Value, label: measure} + - {column: L, row: 1679, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1680 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1680, expected_value: W92000004, label: geography} + - {column: D, row: 1680, expected_value: Females, label: sex} + - {column: E, row: 1680, expected_value: Employee, label: employment type} + - {column: J, row: 1680, expected_value: Value, label: measure} + - {column: L, row: 1681, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1682 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1682, expected_value: W92000004, label: geography} + - {column: D, row: 1682, expected_value: Females, label: sex} + - {column: E, row: 1682, expected_value: Employee, label: employment type} + - {column: J, row: 1682, expected_value: Value, label: measure} + - {column: L, row: 1683, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1684 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1684, expected_value: W92000004, label: geography} + - {column: D, row: 1684, expected_value: Females, label: sex} + - {column: E, row: 1684, expected_value: Employee, label: employment type} + - {column: J, row: 1684, expected_value: Value, label: measure} + - {column: L, row: 1685, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1686 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1686, expected_value: W92000004, label: geography} + - {column: D, row: 1686, expected_value: Females, label: sex} + - {column: E, row: 1686, expected_value: Employee, label: employment type} + - {column: J, row: 1686, expected_value: Value, label: measure} + - {column: L, row: 1687, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1688 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1688, expected_value: W92000004, label: geography} + - {column: D, row: 1688, expected_value: Females, label: sex} + - {column: E, row: 1688, expected_value: Employee, label: employment type} + - {column: J, row: 1688, expected_value: Value, label: measure} + - {column: L, row: 1689, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1690 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1690, expected_value: W92000004, label: geography} + - {column: D, row: 1690, expected_value: Females, label: sex} + - {column: E, row: 1690, expected_value: Employee, label: employment type} + - {column: J, row: 1690, expected_value: Value, label: measure} + - {column: L, row: 1691, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1692 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1692, expected_value: W92000004, label: geography} + - {column: D, row: 1692, expected_value: Females, label: sex} + - {column: E, row: 1692, expected_value: Employee, label: employment type} + - {column: J, row: 1692, expected_value: Value, label: measure} + - {column: L, row: 1693, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1694 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1694, expected_value: W92000004, label: geography} + - {column: D, row: 1694, expected_value: Females, label: sex} + - {column: E, row: 1694, expected_value: Employee, label: employment type} + - {column: J, row: 1694, expected_value: Value, label: measure} + - {column: L, row: 1695, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1696 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1696, expected_value: W92000004, label: geography} + - {column: D, row: 1696, expected_value: Females, label: sex} + - {column: E, row: 1696, expected_value: Employee, label: employment type} + - {column: J, row: 1696, expected_value: Value, label: measure} + - {column: L, row: 1697, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1698 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1698, expected_value: W92000004, label: geography} + - {column: D, row: 1698, expected_value: Females, label: sex} + - {column: E, row: 1698, expected_value: Employee, label: employment type} + - {column: J, row: 1698, expected_value: Value, label: measure} + - {column: L, row: 1699, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1700 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1700, expected_value: W92000004, label: geography} + - {column: D, row: 1700, expected_value: Females, label: sex} + - {column: E, row: 1700, expected_value: Employee, label: employment type} + - {column: J, row: 1700, expected_value: Value, label: measure} + - {column: L, row: 1701, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1702 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1702, expected_value: W92000004, label: geography} + - {column: D, row: 1702, expected_value: Females, label: sex} + - {column: E, row: 1702, expected_value: Employee, label: employment type} + - {column: J, row: 1702, expected_value: Value, label: measure} + - {column: L, row: 1703, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1704 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1704, expected_value: W92000004, label: geography} + - {column: D, row: 1704, expected_value: Females, label: sex} + - {column: E, row: 1704, expected_value: Employee, label: employment type} + - {column: J, row: 1704, expected_value: Value, label: measure} + - {column: L, row: 1705, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1706 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1706, expected_value: W92000004, label: geography} + - {column: D, row: 1706, expected_value: Females, label: sex} + - {column: E, row: 1706, expected_value: Employee, label: employment type} + - {column: J, row: 1706, expected_value: Value, label: measure} + - {column: L, row: 1707, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1708 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1708, expected_value: W92000004, label: geography} + - {column: D, row: 1708, expected_value: Females, label: sex} + - {column: E, row: 1708, expected_value: Employee, label: employment type} + - {column: J, row: 1708, expected_value: Value, label: measure} + - {column: L, row: 1709, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1712 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1712, expected_value: W92000004, label: geography} + - {column: D, row: 1712, expected_value: Females, label: sex} + - {column: E, row: 1712, expected_value: Employee, label: employment type} + - {column: J, row: 1712, expected_value: Value, label: measure} + - {column: L, row: 1713, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1714 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1714, expected_value: W92000004, label: geography} + - {column: D, row: 1714, expected_value: Females, label: sex} + - {column: E, row: 1714, expected_value: Employee, label: employment type} + - {column: J, row: 1714, expected_value: Value, label: measure} + - {column: L, row: 1715, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1716 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1716, expected_value: W92000004, label: geography} + - {column: D, row: 1716, expected_value: Females, label: sex} + - {column: E, row: 1716, expected_value: Employee, label: employment type} + - {column: J, row: 1716, expected_value: Value, label: measure} + - {column: L, row: 1717, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1718 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1718, expected_value: W92000004, label: geography} + - {column: D, row: 1718, expected_value: Females, label: sex} + - {column: E, row: 1718, expected_value: Employee, label: employment type} + - {column: J, row: 1718, expected_value: Value, label: measure} + - {column: L, row: 1719, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1720 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1720, expected_value: W92000004, label: geography} + - {column: D, row: 1720, expected_value: Females, label: sex} + - {column: E, row: 1720, expected_value: Employee, label: employment type} + - {column: J, row: 1720, expected_value: Value, label: measure} + - {column: L, row: 1721, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1722 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1722, expected_value: W92000004, label: geography} + - {column: D, row: 1722, expected_value: Females, label: sex} + - {column: E, row: 1722, expected_value: Employee, label: employment type} + - {column: J, row: 1722, expected_value: Value, label: measure} + - {column: L, row: 1723, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1724 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1724, expected_value: W92000004, label: geography} + - {column: D, row: 1724, expected_value: Females, label: sex} + - {column: E, row: 1724, expected_value: Employee, label: employment type} + - {column: J, row: 1724, expected_value: Value, label: measure} + - {column: L, row: 1725, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1726 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1726, expected_value: W92000004, label: geography} + - {column: D, row: 1726, expected_value: Females, label: sex} + - {column: E, row: 1726, expected_value: Employee, label: employment type} + - {column: J, row: 1726, expected_value: Value, label: measure} + - {column: L, row: 1727, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1728 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1728, expected_value: W92000004, label: geography} + - {column: D, row: 1728, expected_value: Females, label: sex} + - {column: E, row: 1728, expected_value: Employee, label: employment type} + - {column: J, row: 1728, expected_value: Value, label: measure} + - {column: L, row: 1729, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1659 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1659, expected_value: W92000004, label: geography} + - {column: D, row: 1659, expected_value: Females, label: sex} + - {column: E, row: 1659, expected_value: Employee, label: employment type} + - {column: J, row: 1659, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1661 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1661, expected_value: W92000004, label: geography} + - {column: D, row: 1661, expected_value: Females, label: sex} + - {column: E, row: 1661, expected_value: Employee, label: employment type} + - {column: J, row: 1661, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1663 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1663, expected_value: W92000004, label: geography} + - {column: D, row: 1663, expected_value: Females, label: sex} + - {column: E, row: 1663, expected_value: Employee, label: employment type} + - {column: J, row: 1663, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1665 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1665, expected_value: W92000004, label: geography} + - {column: D, row: 1665, expected_value: Females, label: sex} + - {column: E, row: 1665, expected_value: Employee, label: employment type} + - {column: J, row: 1665, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1667 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1667, expected_value: W92000004, label: geography} + - {column: D, row: 1667, expected_value: Females, label: sex} + - {column: E, row: 1667, expected_value: Employee, label: employment type} + - {column: J, row: 1667, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1669 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1669, expected_value: W92000004, label: geography} + - {column: D, row: 1669, expected_value: Females, label: sex} + - {column: E, row: 1669, expected_value: Employee, label: employment type} + - {column: J, row: 1669, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1671 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1671, expected_value: W92000004, label: geography} + - {column: D, row: 1671, expected_value: Females, label: sex} + - {column: E, row: 1671, expected_value: Employee, label: employment type} + - {column: J, row: 1671, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1673 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1673, expected_value: W92000004, label: geography} + - {column: D, row: 1673, expected_value: Females, label: sex} + - {column: E, row: 1673, expected_value: Employee, label: employment type} + - {column: J, row: 1673, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1675 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1675, expected_value: W92000004, label: geography} + - {column: D, row: 1675, expected_value: Females, label: sex} + - {column: E, row: 1675, expected_value: Employee, label: employment type} + - {column: J, row: 1675, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1677 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1677, expected_value: W92000004, label: geography} + - {column: D, row: 1677, expected_value: Females, label: sex} + - {column: E, row: 1677, expected_value: Employee, label: employment type} + - {column: J, row: 1677, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1679 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1679, expected_value: W92000004, label: geography} + - {column: D, row: 1679, expected_value: Females, label: sex} + - {column: E, row: 1679, expected_value: Employee, label: employment type} + - {column: J, row: 1679, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1681 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1681, expected_value: W92000004, label: geography} + - {column: D, row: 1681, expected_value: Females, label: sex} + - {column: E, row: 1681, expected_value: Employee, label: employment type} + - {column: J, row: 1681, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1683 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1683, expected_value: W92000004, label: geography} + - {column: D, row: 1683, expected_value: Females, label: sex} + - {column: E, row: 1683, expected_value: Employee, label: employment type} + - {column: J, row: 1683, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1685 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1685, expected_value: W92000004, label: geography} + - {column: D, row: 1685, expected_value: Females, label: sex} + - {column: E, row: 1685, expected_value: Employee, label: employment type} + - {column: J, row: 1685, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1687 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1687, expected_value: W92000004, label: geography} + - {column: D, row: 1687, expected_value: Females, label: sex} + - {column: E, row: 1687, expected_value: Employee, label: employment type} + - {column: J, row: 1687, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1689 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1689, expected_value: W92000004, label: geography} + - {column: D, row: 1689, expected_value: Females, label: sex} + - {column: E, row: 1689, expected_value: Employee, label: employment type} + - {column: J, row: 1689, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1691 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1691, expected_value: W92000004, label: geography} + - {column: D, row: 1691, expected_value: Females, label: sex} + - {column: E, row: 1691, expected_value: Employee, label: employment type} + - {column: J, row: 1691, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1693 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1693, expected_value: W92000004, label: geography} + - {column: D, row: 1693, expected_value: Females, label: sex} + - {column: E, row: 1693, expected_value: Employee, label: employment type} + - {column: J, row: 1693, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1695 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1695, expected_value: W92000004, label: geography} + - {column: D, row: 1695, expected_value: Females, label: sex} + - {column: E, row: 1695, expected_value: Employee, label: employment type} + - {column: J, row: 1695, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1703 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1703, expected_value: W92000004, label: geography} + - {column: D, row: 1703, expected_value: Females, label: sex} + - {column: E, row: 1703, expected_value: Employee, label: employment type} + - {column: J, row: 1703, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1705 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1705, expected_value: W92000004, label: geography} + - {column: D, row: 1705, expected_value: Females, label: sex} + - {column: E, row: 1705, expected_value: Employee, label: employment type} + - {column: J, row: 1705, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1707 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1707, expected_value: W92000004, label: geography} + - {column: D, row: 1707, expected_value: Females, label: sex} + - {column: E, row: 1707, expected_value: Employee, label: employment type} + - {column: J, row: 1707, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1709 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1709, expected_value: W92000004, label: geography} + - {column: D, row: 1709, expected_value: Females, label: sex} + - {column: E, row: 1709, expected_value: Employee, label: employment type} + - {column: J, row: 1709, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1713 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1713, expected_value: W92000004, label: geography} + - {column: D, row: 1713, expected_value: Females, label: sex} + - {column: E, row: 1713, expected_value: Employee, label: employment type} + - {column: J, row: 1713, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1715 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1715, expected_value: W92000004, label: geography} + - {column: D, row: 1715, expected_value: Females, label: sex} + - {column: E, row: 1715, expected_value: Employee, label: employment type} + - {column: J, row: 1715, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 1717 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 1717, expected_value: W92000004, label: geography} + - {column: D, row: 1717, expected_value: Females, label: sex} + - {column: E, row: 1717, expected_value: Employee, label: employment type} + - {column: J, row: 1717, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1719 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1719, expected_value: W92000004, label: geography} + - {column: D, row: 1719, expected_value: Females, label: sex} + - {column: E, row: 1719, expected_value: Employee, label: employment type} + - {column: J, row: 1719, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1721 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1721, expected_value: W92000004, label: geography} + - {column: D, row: 1721, expected_value: Females, label: sex} + - {column: E, row: 1721, expected_value: Employee, label: employment type} + - {column: J, row: 1721, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1725 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1725, expected_value: W92000004, label: geography} + - {column: D, row: 1725, expected_value: Females, label: sex} + - {column: E, row: 1725, expected_value: Employee, label: employment type} + - {column: J, row: 1725, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1727 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1727, expected_value: W92000004, label: geography} + - {column: D, row: 1727, expected_value: Females, label: sex} + - {column: E, row: 1727, expected_value: Employee, label: employment type} + - {column: J, row: 1727, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1729 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1729, expected_value: W92000004, label: geography} + - {column: D, row: 1729, expected_value: Females, label: sex} + - {column: E, row: 1729, expected_value: Employee, label: employment type} + - {column: J, row: 1729, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1874 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1874, expected_value: W92000004, label: geography} + - {column: D, row: 1874, expected_value: Females, label: sex} + - {column: E, row: 1874, expected_value: Self-employed, label: employment type} + - {column: J, row: 1874, expected_value: Value, label: measure} + - {column: L, row: 1875, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1876 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1876, expected_value: W92000004, label: geography} + - {column: D, row: 1876, expected_value: Females, label: sex} + - {column: E, row: 1876, expected_value: Self-employed, label: employment type} + - {column: J, row: 1876, expected_value: Value, label: measure} + - {column: L, row: 1877, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1878 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1878, expected_value: W92000004, label: geography} + - {column: D, row: 1878, expected_value: Females, label: sex} + - {column: E, row: 1878, expected_value: Self-employed, label: employment type} + - {column: J, row: 1878, expected_value: Value, label: measure} + - {column: L, row: 1879, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1880 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1880, expected_value: W92000004, label: geography} + - {column: D, row: 1880, expected_value: Females, label: sex} + - {column: E, row: 1880, expected_value: Self-employed, label: employment type} + - {column: J, row: 1880, expected_value: Value, label: measure} + - {column: L, row: 1881, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1882 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1882, expected_value: W92000004, label: geography} + - {column: D, row: 1882, expected_value: Females, label: sex} + - {column: E, row: 1882, expected_value: Self-employed, label: employment type} + - {column: J, row: 1882, expected_value: Value, label: measure} + - {column: L, row: 1883, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1884 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1884, expected_value: W92000004, label: geography} + - {column: D, row: 1884, expected_value: Females, label: sex} + - {column: E, row: 1884, expected_value: Self-employed, label: employment type} + - {column: J, row: 1884, expected_value: Value, label: measure} + - {column: L, row: 1885, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1886 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1886, expected_value: W92000004, label: geography} + - {column: D, row: 1886, expected_value: Females, label: sex} + - {column: E, row: 1886, expected_value: Self-employed, label: employment type} + - {column: J, row: 1886, expected_value: Value, label: measure} + - {column: L, row: 1887, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1888 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1888, expected_value: W92000004, label: geography} + - {column: D, row: 1888, expected_value: Females, label: sex} + - {column: E, row: 1888, expected_value: Self-employed, label: employment type} + - {column: J, row: 1888, expected_value: Value, label: measure} + - {column: L, row: 1889, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1890 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1890, expected_value: W92000004, label: geography} + - {column: D, row: 1890, expected_value: Females, label: sex} + - {column: E, row: 1890, expected_value: Self-employed, label: employment type} + - {column: J, row: 1890, expected_value: Value, label: measure} + - {column: L, row: 1891, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1892 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1892, expected_value: W92000004, label: geography} + - {column: D, row: 1892, expected_value: Females, label: sex} + - {column: E, row: 1892, expected_value: Self-employed, label: employment type} + - {column: J, row: 1892, expected_value: Value, label: measure} + - {column: L, row: 1893, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1896 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1896, expected_value: W92000004, label: geography} + - {column: D, row: 1896, expected_value: Females, label: sex} + - {column: E, row: 1896, expected_value: Self-employed, label: employment type} + - {column: J, row: 1896, expected_value: Value, label: measure} + - {column: L, row: 1897, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1900 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1900, expected_value: W92000004, label: geography} + - {column: D, row: 1900, expected_value: Females, label: sex} + - {column: E, row: 1900, expected_value: Self-employed, label: employment type} + - {column: J, row: 1900, expected_value: Value, label: measure} + - {column: L, row: 1901, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1902 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1902, expected_value: W92000004, label: geography} + - {column: D, row: 1902, expected_value: Females, label: sex} + - {column: E, row: 1902, expected_value: Self-employed, label: employment type} + - {column: J, row: 1902, expected_value: Value, label: measure} + - {column: L, row: 1903, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1904 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1904, expected_value: W92000004, label: geography} + - {column: D, row: 1904, expected_value: Females, label: sex} + - {column: E, row: 1904, expected_value: Self-employed, label: employment type} + - {column: J, row: 1904, expected_value: Value, label: measure} + - {column: L, row: 1905, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1906 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1906, expected_value: W92000004, label: geography} + - {column: D, row: 1906, expected_value: Females, label: sex} + - {column: E, row: 1906, expected_value: Self-employed, label: employment type} + - {column: J, row: 1906, expected_value: Value, label: measure} + - {column: L, row: 1907, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1910 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1910, expected_value: W92000004, label: geography} + - {column: D, row: 1910, expected_value: Females, label: sex} + - {column: E, row: 1910, expected_value: Self-employed, label: employment type} + - {column: J, row: 1910, expected_value: Value, label: measure} + - {column: L, row: 1911, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1912 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1912, expected_value: W92000004, label: geography} + - {column: D, row: 1912, expected_value: Females, label: sex} + - {column: E, row: 1912, expected_value: Self-employed, label: employment type} + - {column: J, row: 1912, expected_value: Value, label: measure} + - {column: L, row: 1913, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1916 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1916, expected_value: W92000004, label: geography} + - {column: D, row: 1916, expected_value: Females, label: sex} + - {column: E, row: 1916, expected_value: Self-employed, label: employment type} + - {column: J, row: 1916, expected_value: Value, label: measure} + - {column: L, row: 1917, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1918 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1918, expected_value: W92000004, label: geography} + - {column: D, row: 1918, expected_value: Females, label: sex} + - {column: E, row: 1918, expected_value: Self-employed, label: employment type} + - {column: J, row: 1918, expected_value: Value, label: measure} + - {column: L, row: 1919, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1920 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1920, expected_value: W92000004, label: geography} + - {column: D, row: 1920, expected_value: Females, label: sex} + - {column: E, row: 1920, expected_value: Self-employed, label: employment type} + - {column: J, row: 1920, expected_value: Value, label: measure} + - {column: L, row: 1921, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1922 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1922, expected_value: W92000004, label: geography} + - {column: D, row: 1922, expected_value: Females, label: sex} + - {column: E, row: 1922, expected_value: Self-employed, label: employment type} + - {column: J, row: 1922, expected_value: Value, label: measure} + - {column: L, row: 1923, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1924 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1924, expected_value: W92000004, label: geography} + - {column: D, row: 1924, expected_value: Females, label: sex} + - {column: E, row: 1924, expected_value: Self-employed, label: employment type} + - {column: J, row: 1924, expected_value: Value, label: measure} + - {column: L, row: 1925, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 1928 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 1928, expected_value: W92000004, label: geography} + - {column: D, row: 1928, expected_value: Females, label: sex} + - {column: E, row: 1928, expected_value: Self-employed, label: employment type} + - {column: J, row: 1928, expected_value: Value, label: measure} + - {column: L, row: 1929, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 1930 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 1930, expected_value: W92000004, label: geography} + - {column: D, row: 1930, expected_value: Females, label: sex} + - {column: E, row: 1930, expected_value: Self-employed, label: employment type} + - {column: J, row: 1930, expected_value: Value, label: measure} + - {column: L, row: 1931, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1934 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1934, expected_value: W92000004, label: geography} + - {column: D, row: 1934, expected_value: Females, label: sex} + - {column: E, row: 1934, expected_value: Self-employed, label: employment type} + - {column: J, row: 1934, expected_value: Value, label: measure} + - {column: L, row: 1935, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 1936 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 1936, expected_value: W92000004, label: geography} + - {column: D, row: 1936, expected_value: Females, label: sex} + - {column: E, row: 1936, expected_value: Self-employed, label: employment type} + - {column: J, row: 1936, expected_value: Value, label: measure} + - {column: L, row: 1937, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 1938 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 1938, expected_value: W92000004, label: geography} + - {column: D, row: 1938, expected_value: Females, label: sex} + - {column: E, row: 1938, expected_value: Self-employed, label: employment type} + - {column: J, row: 1938, expected_value: Value, label: measure} + - {column: L, row: 1939, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1940 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1940, expected_value: W92000004, label: geography} + - {column: D, row: 1940, expected_value: Females, label: sex} + - {column: E, row: 1940, expected_value: Self-employed, label: employment type} + - {column: J, row: 1940, expected_value: Value, label: measure} + - {column: L, row: 1941, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 1942 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 1942, expected_value: W92000004, label: geography} + - {column: D, row: 1942, expected_value: Females, label: sex} + - {column: E, row: 1942, expected_value: Self-employed, label: employment type} + - {column: J, row: 1942, expected_value: Value, label: measure} + - {column: L, row: 1943, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1944 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1944, expected_value: W92000004, label: geography} + - {column: D, row: 1944, expected_value: Females, label: sex} + - {column: E, row: 1944, expected_value: Self-employed, label: employment type} + - {column: J, row: 1944, expected_value: Value, label: measure} + - {column: L, row: 1945, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.w92000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.w92000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.w92000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: W92000004 + geography_level: country + geography_name: Wales + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1875 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1875, expected_value: W92000004, label: geography} + - {column: D, row: 1875, expected_value: Females, label: sex} + - {column: E, row: 1875, expected_value: Self-employed, label: employment type} + - {column: J, row: 1875, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1877 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1877, expected_value: W92000004, label: geography} + - {column: D, row: 1877, expected_value: Females, label: sex} + - {column: E, row: 1877, expected_value: Self-employed, label: employment type} + - {column: J, row: 1877, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1879 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1879, expected_value: W92000004, label: geography} + - {column: D, row: 1879, expected_value: Females, label: sex} + - {column: E, row: 1879, expected_value: Self-employed, label: employment type} + - {column: J, row: 1879, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1881 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1881, expected_value: W92000004, label: geography} + - {column: D, row: 1881, expected_value: Females, label: sex} + - {column: E, row: 1881, expected_value: Self-employed, label: employment type} + - {column: J, row: 1881, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1883 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1883, expected_value: W92000004, label: geography} + - {column: D, row: 1883, expected_value: Females, label: sex} + - {column: E, row: 1883, expected_value: Self-employed, label: employment type} + - {column: J, row: 1883, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1885 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1885, expected_value: W92000004, label: geography} + - {column: D, row: 1885, expected_value: Females, label: sex} + - {column: E, row: 1885, expected_value: Self-employed, label: employment type} + - {column: J, row: 1885, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1887 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1887, expected_value: W92000004, label: geography} + - {column: D, row: 1887, expected_value: Females, label: sex} + - {column: E, row: 1887, expected_value: Self-employed, label: employment type} + - {column: J, row: 1887, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1889 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1889, expected_value: W92000004, label: geography} + - {column: D, row: 1889, expected_value: Females, label: sex} + - {column: E, row: 1889, expected_value: Self-employed, label: employment type} + - {column: J, row: 1889, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1891 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1891, expected_value: W92000004, label: geography} + - {column: D, row: 1891, expected_value: Females, label: sex} + - {column: E, row: 1891, expected_value: Self-employed, label: employment type} + - {column: J, row: 1891, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1893 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1893, expected_value: W92000004, label: geography} + - {column: D, row: 1893, expected_value: Females, label: sex} + - {column: E, row: 1893, expected_value: Self-employed, label: employment type} + - {column: J, row: 1893, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1897 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1897, expected_value: W92000004, label: geography} + - {column: D, row: 1897, expected_value: Females, label: sex} + - {column: E, row: 1897, expected_value: Self-employed, label: employment type} + - {column: J, row: 1897, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1901 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1901, expected_value: W92000004, label: geography} + - {column: D, row: 1901, expected_value: Females, label: sex} + - {column: E, row: 1901, expected_value: Self-employed, label: employment type} + - {column: J, row: 1901, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1903 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1903, expected_value: W92000004, label: geography} + - {column: D, row: 1903, expected_value: Females, label: sex} + - {column: E, row: 1903, expected_value: Self-employed, label: employment type} + - {column: J, row: 1903, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1905 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1905, expected_value: W92000004, label: geography} + - {column: D, row: 1905, expected_value: Females, label: sex} + - {column: E, row: 1905, expected_value: Self-employed, label: employment type} + - {column: J, row: 1905, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1907 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1907, expected_value: W92000004, label: geography} + - {column: D, row: 1907, expected_value: Females, label: sex} + - {column: E, row: 1907, expected_value: Self-employed, label: employment type} + - {column: J, row: 1907, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1911 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1911, expected_value: W92000004, label: geography} + - {column: D, row: 1911, expected_value: Females, label: sex} + - {column: E, row: 1911, expected_value: Self-employed, label: employment type} + - {column: J, row: 1911, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1913 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1913, expected_value: W92000004, label: geography} + - {column: D, row: 1913, expected_value: Females, label: sex} + - {column: E, row: 1913, expected_value: Self-employed, label: employment type} + - {column: J, row: 1913, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1919 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1919, expected_value: W92000004, label: geography} + - {column: D, row: 1919, expected_value: Females, label: sex} + - {column: E, row: 1919, expected_value: Self-employed, label: employment type} + - {column: J, row: 1919, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1921 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1921, expected_value: W92000004, label: geography} + - {column: D, row: 1921, expected_value: Females, label: sex} + - {column: E, row: 1921, expected_value: Self-employed, label: employment type} + - {column: J, row: 1921, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1923 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1923, expected_value: W92000004, label: geography} + - {column: D, row: 1923, expected_value: Females, label: sex} + - {column: E, row: 1923, expected_value: Self-employed, label: employment type} + - {column: J, row: 1923, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1925 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1925, expected_value: W92000004, label: geography} + - {column: D, row: 1925, expected_value: Females, label: sex} + - {column: E, row: 1925, expected_value: Self-employed, label: employment type} + - {column: J, row: 1925, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 1935 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 1935, expected_value: W92000004, label: geography} + - {column: D, row: 1935, expected_value: Females, label: sex} + - {column: E, row: 1935, expected_value: Self-employed, label: employment type} + - {column: J, row: 1935, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 1941 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 1941, expected_value: W92000004, label: geography} + - {column: D, row: 1941, expected_value: Females, label: sex} + - {column: E, row: 1941, expected_value: Self-employed, label: employment type} + - {column: J, row: 1941, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 1945 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 1945, expected_value: W92000004, label: geography} + - {column: D, row: 1945, expected_value: Females, label: sex} + - {column: E, row: 1945, expected_value: Self-employed, label: employment type} + - {column: J, row: 1945, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1946 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1946, expected_value: S92000003, label: geography} + - {column: D, row: 1946, expected_value: All persons, label: sex} + - {column: E, row: 1946, expected_value: Total, label: employment type} + - {column: J, row: 1946, expected_value: Value, label: measure} + - {column: L, row: 1947, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1948 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1948, expected_value: S92000003, label: geography} + - {column: D, row: 1948, expected_value: All persons, label: sex} + - {column: E, row: 1948, expected_value: Total, label: employment type} + - {column: J, row: 1948, expected_value: Value, label: measure} + - {column: L, row: 1949, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1950 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1950, expected_value: S92000003, label: geography} + - {column: D, row: 1950, expected_value: All persons, label: sex} + - {column: E, row: 1950, expected_value: Total, label: employment type} + - {column: J, row: 1950, expected_value: Value, label: measure} + - {column: L, row: 1951, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1952 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1952, expected_value: S92000003, label: geography} + - {column: D, row: 1952, expected_value: All persons, label: sex} + - {column: E, row: 1952, expected_value: Total, label: employment type} + - {column: J, row: 1952, expected_value: Value, label: measure} + - {column: L, row: 1953, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1954 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1954, expected_value: S92000003, label: geography} + - {column: D, row: 1954, expected_value: All persons, label: sex} + - {column: E, row: 1954, expected_value: Total, label: employment type} + - {column: J, row: 1954, expected_value: Value, label: measure} + - {column: L, row: 1955, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1956 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1956, expected_value: S92000003, label: geography} + - {column: D, row: 1956, expected_value: All persons, label: sex} + - {column: E, row: 1956, expected_value: Total, label: employment type} + - {column: J, row: 1956, expected_value: Value, label: measure} + - {column: L, row: 1957, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1958 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1958, expected_value: S92000003, label: geography} + - {column: D, row: 1958, expected_value: All persons, label: sex} + - {column: E, row: 1958, expected_value: Total, label: employment type} + - {column: J, row: 1958, expected_value: Value, label: measure} + - {column: L, row: 1959, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1960 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1960, expected_value: S92000003, label: geography} + - {column: D, row: 1960, expected_value: All persons, label: sex} + - {column: E, row: 1960, expected_value: Total, label: employment type} + - {column: J, row: 1960, expected_value: Value, label: measure} + - {column: L, row: 1961, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1962 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1962, expected_value: S92000003, label: geography} + - {column: D, row: 1962, expected_value: All persons, label: sex} + - {column: E, row: 1962, expected_value: Total, label: employment type} + - {column: J, row: 1962, expected_value: Value, label: measure} + - {column: L, row: 1963, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1964 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1964, expected_value: S92000003, label: geography} + - {column: D, row: 1964, expected_value: All persons, label: sex} + - {column: E, row: 1964, expected_value: Total, label: employment type} + - {column: J, row: 1964, expected_value: Value, label: measure} + - {column: L, row: 1965, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1966 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1966, expected_value: S92000003, label: geography} + - {column: D, row: 1966, expected_value: All persons, label: sex} + - {column: E, row: 1966, expected_value: Total, label: employment type} + - {column: J, row: 1966, expected_value: Value, label: measure} + - {column: L, row: 1967, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1968 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1968, expected_value: S92000003, label: geography} + - {column: D, row: 1968, expected_value: All persons, label: sex} + - {column: E, row: 1968, expected_value: Total, label: employment type} + - {column: J, row: 1968, expected_value: Value, label: measure} + - {column: L, row: 1969, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1970 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1970, expected_value: S92000003, label: geography} + - {column: D, row: 1970, expected_value: All persons, label: sex} + - {column: E, row: 1970, expected_value: Total, label: employment type} + - {column: J, row: 1970, expected_value: Value, label: measure} + - {column: L, row: 1971, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1972 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1972, expected_value: S92000003, label: geography} + - {column: D, row: 1972, expected_value: All persons, label: sex} + - {column: E, row: 1972, expected_value: Total, label: employment type} + - {column: J, row: 1972, expected_value: Value, label: measure} + - {column: L, row: 1973, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1974 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1974, expected_value: S92000003, label: geography} + - {column: D, row: 1974, expected_value: All persons, label: sex} + - {column: E, row: 1974, expected_value: Total, label: employment type} + - {column: J, row: 1974, expected_value: Value, label: measure} + - {column: L, row: 1975, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1976 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1976, expected_value: S92000003, label: geography} + - {column: D, row: 1976, expected_value: All persons, label: sex} + - {column: E, row: 1976, expected_value: Total, label: employment type} + - {column: J, row: 1976, expected_value: Value, label: measure} + - {column: L, row: 1977, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1978 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1978, expected_value: S92000003, label: geography} + - {column: D, row: 1978, expected_value: All persons, label: sex} + - {column: E, row: 1978, expected_value: Total, label: employment type} + - {column: J, row: 1978, expected_value: Value, label: measure} + - {column: L, row: 1979, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1980 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1980, expected_value: S92000003, label: geography} + - {column: D, row: 1980, expected_value: All persons, label: sex} + - {column: E, row: 1980, expected_value: Total, label: employment type} + - {column: J, row: 1980, expected_value: Value, label: measure} + - {column: L, row: 1981, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1982 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1982, expected_value: S92000003, label: geography} + - {column: D, row: 1982, expected_value: All persons, label: sex} + - {column: E, row: 1982, expected_value: Total, label: employment type} + - {column: J, row: 1982, expected_value: Value, label: measure} + - {column: L, row: 1983, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1984 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1984, expected_value: S92000003, label: geography} + - {column: D, row: 1984, expected_value: All persons, label: sex} + - {column: E, row: 1984, expected_value: Total, label: employment type} + - {column: J, row: 1984, expected_value: Value, label: measure} + - {column: L, row: 1985, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1986 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1986, expected_value: S92000003, label: geography} + - {column: D, row: 1986, expected_value: All persons, label: sex} + - {column: E, row: 1986, expected_value: Total, label: employment type} + - {column: J, row: 1986, expected_value: Value, label: measure} + - {column: L, row: 1987, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1988 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1988, expected_value: S92000003, label: geography} + - {column: D, row: 1988, expected_value: All persons, label: sex} + - {column: E, row: 1988, expected_value: Total, label: employment type} + - {column: J, row: 1988, expected_value: Value, label: measure} + - {column: L, row: 1989, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1990 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1990, expected_value: S92000003, label: geography} + - {column: D, row: 1990, expected_value: All persons, label: sex} + - {column: E, row: 1990, expected_value: Total, label: employment type} + - {column: J, row: 1990, expected_value: Value, label: measure} + - {column: L, row: 1991, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1992 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1992, expected_value: S92000003, label: geography} + - {column: D, row: 1992, expected_value: All persons, label: sex} + - {column: E, row: 1992, expected_value: Total, label: employment type} + - {column: J, row: 1992, expected_value: Value, label: measure} + - {column: L, row: 1993, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1994 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1994, expected_value: S92000003, label: geography} + - {column: D, row: 1994, expected_value: All persons, label: sex} + - {column: E, row: 1994, expected_value: Total, label: employment type} + - {column: J, row: 1994, expected_value: Value, label: measure} + - {column: L, row: 1995, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1996 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1996, expected_value: S92000003, label: geography} + - {column: D, row: 1996, expected_value: All persons, label: sex} + - {column: E, row: 1996, expected_value: Total, label: employment type} + - {column: J, row: 1996, expected_value: Value, label: measure} + - {column: L, row: 1997, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2000 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2000, expected_value: S92000003, label: geography} + - {column: D, row: 2000, expected_value: All persons, label: sex} + - {column: E, row: 2000, expected_value: Total, label: employment type} + - {column: J, row: 2000, expected_value: Value, label: measure} + - {column: L, row: 2001, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2002 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2002, expected_value: S92000003, label: geography} + - {column: D, row: 2002, expected_value: All persons, label: sex} + - {column: E, row: 2002, expected_value: Total, label: employment type} + - {column: J, row: 2002, expected_value: Value, label: measure} + - {column: L, row: 2003, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2004 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2004, expected_value: S92000003, label: geography} + - {column: D, row: 2004, expected_value: All persons, label: sex} + - {column: E, row: 2004, expected_value: Total, label: employment type} + - {column: J, row: 2004, expected_value: Value, label: measure} + - {column: L, row: 2005, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2006 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2006, expected_value: S92000003, label: geography} + - {column: D, row: 2006, expected_value: All persons, label: sex} + - {column: E, row: 2006, expected_value: Total, label: employment type} + - {column: J, row: 2006, expected_value: Value, label: measure} + - {column: L, row: 2007, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2008 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2008, expected_value: S92000003, label: geography} + - {column: D, row: 2008, expected_value: All persons, label: sex} + - {column: E, row: 2008, expected_value: Total, label: employment type} + - {column: J, row: 2008, expected_value: Value, label: measure} + - {column: L, row: 2009, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2010 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2010, expected_value: S92000003, label: geography} + - {column: D, row: 2010, expected_value: All persons, label: sex} + - {column: E, row: 2010, expected_value: Total, label: employment type} + - {column: J, row: 2010, expected_value: Value, label: measure} + - {column: L, row: 2011, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2012 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2012, expected_value: S92000003, label: geography} + - {column: D, row: 2012, expected_value: All persons, label: sex} + - {column: E, row: 2012, expected_value: Total, label: employment type} + - {column: J, row: 2012, expected_value: Value, label: measure} + - {column: L, row: 2013, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2014 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2014, expected_value: S92000003, label: geography} + - {column: D, row: 2014, expected_value: All persons, label: sex} + - {column: E, row: 2014, expected_value: Total, label: employment type} + - {column: J, row: 2014, expected_value: Value, label: measure} + - {column: L, row: 2015, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2016 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2016, expected_value: S92000003, label: geography} + - {column: D, row: 2016, expected_value: All persons, label: sex} + - {column: E, row: 2016, expected_value: Total, label: employment type} + - {column: J, row: 2016, expected_value: Value, label: measure} + - {column: L, row: 2017, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 1947 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 1947, expected_value: S92000003, label: geography} + - {column: D, row: 1947, expected_value: All persons, label: sex} + - {column: E, row: 1947, expected_value: Total, label: employment type} + - {column: J, row: 1947, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 1949 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 1949, expected_value: S92000003, label: geography} + - {column: D, row: 1949, expected_value: All persons, label: sex} + - {column: E, row: 1949, expected_value: Total, label: employment type} + - {column: J, row: 1949, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 1951 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 1951, expected_value: S92000003, label: geography} + - {column: D, row: 1951, expected_value: All persons, label: sex} + - {column: E, row: 1951, expected_value: Total, label: employment type} + - {column: J, row: 1951, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 1953 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 1953, expected_value: S92000003, label: geography} + - {column: D, row: 1953, expected_value: All persons, label: sex} + - {column: E, row: 1953, expected_value: Total, label: employment type} + - {column: J, row: 1953, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 1955 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 1955, expected_value: S92000003, label: geography} + - {column: D, row: 1955, expected_value: All persons, label: sex} + - {column: E, row: 1955, expected_value: Total, label: employment type} + - {column: J, row: 1955, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 1957 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 1957, expected_value: S92000003, label: geography} + - {column: D, row: 1957, expected_value: All persons, label: sex} + - {column: E, row: 1957, expected_value: Total, label: employment type} + - {column: J, row: 1957, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 1959 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 1959, expected_value: S92000003, label: geography} + - {column: D, row: 1959, expected_value: All persons, label: sex} + - {column: E, row: 1959, expected_value: Total, label: employment type} + - {column: J, row: 1959, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 1961 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 1961, expected_value: S92000003, label: geography} + - {column: D, row: 1961, expected_value: All persons, label: sex} + - {column: E, row: 1961, expected_value: Total, label: employment type} + - {column: J, row: 1961, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 1963 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 1963, expected_value: S92000003, label: geography} + - {column: D, row: 1963, expected_value: All persons, label: sex} + - {column: E, row: 1963, expected_value: Total, label: employment type} + - {column: J, row: 1963, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 1965 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 1965, expected_value: S92000003, label: geography} + - {column: D, row: 1965, expected_value: All persons, label: sex} + - {column: E, row: 1965, expected_value: Total, label: employment type} + - {column: J, row: 1965, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 1967 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 1967, expected_value: S92000003, label: geography} + - {column: D, row: 1967, expected_value: All persons, label: sex} + - {column: E, row: 1967, expected_value: Total, label: employment type} + - {column: J, row: 1967, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 1969 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 1969, expected_value: S92000003, label: geography} + - {column: D, row: 1969, expected_value: All persons, label: sex} + - {column: E, row: 1969, expected_value: Total, label: employment type} + - {column: J, row: 1969, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 1971 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 1971, expected_value: S92000003, label: geography} + - {column: D, row: 1971, expected_value: All persons, label: sex} + - {column: E, row: 1971, expected_value: Total, label: employment type} + - {column: J, row: 1971, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 1973 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 1973, expected_value: S92000003, label: geography} + - {column: D, row: 1973, expected_value: All persons, label: sex} + - {column: E, row: 1973, expected_value: Total, label: employment type} + - {column: J, row: 1973, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 1975 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 1975, expected_value: S92000003, label: geography} + - {column: D, row: 1975, expected_value: All persons, label: sex} + - {column: E, row: 1975, expected_value: Total, label: employment type} + - {column: J, row: 1975, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 1977 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 1977, expected_value: S92000003, label: geography} + - {column: D, row: 1977, expected_value: All persons, label: sex} + - {column: E, row: 1977, expected_value: Total, label: employment type} + - {column: J, row: 1977, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 1979 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 1979, expected_value: S92000003, label: geography} + - {column: D, row: 1979, expected_value: All persons, label: sex} + - {column: E, row: 1979, expected_value: Total, label: employment type} + - {column: J, row: 1979, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 1981 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 1981, expected_value: S92000003, label: geography} + - {column: D, row: 1981, expected_value: All persons, label: sex} + - {column: E, row: 1981, expected_value: Total, label: employment type} + - {column: J, row: 1981, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 1983 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 1983, expected_value: S92000003, label: geography} + - {column: D, row: 1983, expected_value: All persons, label: sex} + - {column: E, row: 1983, expected_value: Total, label: employment type} + - {column: J, row: 1983, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 1985 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 1985, expected_value: S92000003, label: geography} + - {column: D, row: 1985, expected_value: All persons, label: sex} + - {column: E, row: 1985, expected_value: Total, label: employment type} + - {column: J, row: 1985, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 1987 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 1987, expected_value: S92000003, label: geography} + - {column: D, row: 1987, expected_value: All persons, label: sex} + - {column: E, row: 1987, expected_value: Total, label: employment type} + - {column: J, row: 1987, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 1989 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 1989, expected_value: S92000003, label: geography} + - {column: D, row: 1989, expected_value: All persons, label: sex} + - {column: E, row: 1989, expected_value: Total, label: employment type} + - {column: J, row: 1989, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 1991 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 1991, expected_value: S92000003, label: geography} + - {column: D, row: 1991, expected_value: All persons, label: sex} + - {column: E, row: 1991, expected_value: Total, label: employment type} + - {column: J, row: 1991, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 1993 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 1993, expected_value: S92000003, label: geography} + - {column: D, row: 1993, expected_value: All persons, label: sex} + - {column: E, row: 1993, expected_value: Total, label: employment type} + - {column: J, row: 1993, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 1995 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 1995, expected_value: S92000003, label: geography} + - {column: D, row: 1995, expected_value: All persons, label: sex} + - {column: E, row: 1995, expected_value: Total, label: employment type} + - {column: J, row: 1995, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 1997 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 1997, expected_value: S92000003, label: geography} + - {column: D, row: 1997, expected_value: All persons, label: sex} + - {column: E, row: 1997, expected_value: Total, label: employment type} + - {column: J, row: 1997, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2001 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2001, expected_value: S92000003, label: geography} + - {column: D, row: 2001, expected_value: All persons, label: sex} + - {column: E, row: 2001, expected_value: Total, label: employment type} + - {column: J, row: 2001, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2003 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2003, expected_value: S92000003, label: geography} + - {column: D, row: 2003, expected_value: All persons, label: sex} + - {column: E, row: 2003, expected_value: Total, label: employment type} + - {column: J, row: 2003, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2005 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2005, expected_value: S92000003, label: geography} + - {column: D, row: 2005, expected_value: All persons, label: sex} + - {column: E, row: 2005, expected_value: Total, label: employment type} + - {column: J, row: 2005, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2007 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2007, expected_value: S92000003, label: geography} + - {column: D, row: 2007, expected_value: All persons, label: sex} + - {column: E, row: 2007, expected_value: Total, label: employment type} + - {column: J, row: 2007, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2009 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2009, expected_value: S92000003, label: geography} + - {column: D, row: 2009, expected_value: All persons, label: sex} + - {column: E, row: 2009, expected_value: Total, label: employment type} + - {column: J, row: 2009, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2011 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2011, expected_value: S92000003, label: geography} + - {column: D, row: 2011, expected_value: All persons, label: sex} + - {column: E, row: 2011, expected_value: Total, label: employment type} + - {column: J, row: 2011, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2013 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2013, expected_value: S92000003, label: geography} + - {column: D, row: 2013, expected_value: All persons, label: sex} + - {column: E, row: 2013, expected_value: Total, label: employment type} + - {column: J, row: 2013, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2015 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2015, expected_value: S92000003, label: geography} + - {column: D, row: 2015, expected_value: All persons, label: sex} + - {column: E, row: 2015, expected_value: Total, label: employment type} + - {column: J, row: 2015, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2017 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2017, expected_value: S92000003, label: geography} + - {column: D, row: 2017, expected_value: All persons, label: sex} + - {column: E, row: 2017, expected_value: Total, label: employment type} + - {column: J, row: 2017, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2162 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2162, expected_value: S92000003, label: geography} + - {column: D, row: 2162, expected_value: All persons, label: sex} + - {column: E, row: 2162, expected_value: Employee, label: employment type} + - {column: J, row: 2162, expected_value: Value, label: measure} + - {column: L, row: 2163, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2164 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2164, expected_value: S92000003, label: geography} + - {column: D, row: 2164, expected_value: All persons, label: sex} + - {column: E, row: 2164, expected_value: Employee, label: employment type} + - {column: J, row: 2164, expected_value: Value, label: measure} + - {column: L, row: 2165, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2166 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2166, expected_value: S92000003, label: geography} + - {column: D, row: 2166, expected_value: All persons, label: sex} + - {column: E, row: 2166, expected_value: Employee, label: employment type} + - {column: J, row: 2166, expected_value: Value, label: measure} + - {column: L, row: 2167, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2168 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2168, expected_value: S92000003, label: geography} + - {column: D, row: 2168, expected_value: All persons, label: sex} + - {column: E, row: 2168, expected_value: Employee, label: employment type} + - {column: J, row: 2168, expected_value: Value, label: measure} + - {column: L, row: 2169, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2170 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2170, expected_value: S92000003, label: geography} + - {column: D, row: 2170, expected_value: All persons, label: sex} + - {column: E, row: 2170, expected_value: Employee, label: employment type} + - {column: J, row: 2170, expected_value: Value, label: measure} + - {column: L, row: 2171, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2172 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2172, expected_value: S92000003, label: geography} + - {column: D, row: 2172, expected_value: All persons, label: sex} + - {column: E, row: 2172, expected_value: Employee, label: employment type} + - {column: J, row: 2172, expected_value: Value, label: measure} + - {column: L, row: 2173, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2174 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2174, expected_value: S92000003, label: geography} + - {column: D, row: 2174, expected_value: All persons, label: sex} + - {column: E, row: 2174, expected_value: Employee, label: employment type} + - {column: J, row: 2174, expected_value: Value, label: measure} + - {column: L, row: 2175, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2176 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2176, expected_value: S92000003, label: geography} + - {column: D, row: 2176, expected_value: All persons, label: sex} + - {column: E, row: 2176, expected_value: Employee, label: employment type} + - {column: J, row: 2176, expected_value: Value, label: measure} + - {column: L, row: 2177, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2178 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2178, expected_value: S92000003, label: geography} + - {column: D, row: 2178, expected_value: All persons, label: sex} + - {column: E, row: 2178, expected_value: Employee, label: employment type} + - {column: J, row: 2178, expected_value: Value, label: measure} + - {column: L, row: 2179, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2180 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2180, expected_value: S92000003, label: geography} + - {column: D, row: 2180, expected_value: All persons, label: sex} + - {column: E, row: 2180, expected_value: Employee, label: employment type} + - {column: J, row: 2180, expected_value: Value, label: measure} + - {column: L, row: 2181, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2182 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2182, expected_value: S92000003, label: geography} + - {column: D, row: 2182, expected_value: All persons, label: sex} + - {column: E, row: 2182, expected_value: Employee, label: employment type} + - {column: J, row: 2182, expected_value: Value, label: measure} + - {column: L, row: 2183, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2184 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2184, expected_value: S92000003, label: geography} + - {column: D, row: 2184, expected_value: All persons, label: sex} + - {column: E, row: 2184, expected_value: Employee, label: employment type} + - {column: J, row: 2184, expected_value: Value, label: measure} + - {column: L, row: 2185, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2186 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2186, expected_value: S92000003, label: geography} + - {column: D, row: 2186, expected_value: All persons, label: sex} + - {column: E, row: 2186, expected_value: Employee, label: employment type} + - {column: J, row: 2186, expected_value: Value, label: measure} + - {column: L, row: 2187, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2188 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2188, expected_value: S92000003, label: geography} + - {column: D, row: 2188, expected_value: All persons, label: sex} + - {column: E, row: 2188, expected_value: Employee, label: employment type} + - {column: J, row: 2188, expected_value: Value, label: measure} + - {column: L, row: 2189, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2190 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2190, expected_value: S92000003, label: geography} + - {column: D, row: 2190, expected_value: All persons, label: sex} + - {column: E, row: 2190, expected_value: Employee, label: employment type} + - {column: J, row: 2190, expected_value: Value, label: measure} + - {column: L, row: 2191, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2192 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2192, expected_value: S92000003, label: geography} + - {column: D, row: 2192, expected_value: All persons, label: sex} + - {column: E, row: 2192, expected_value: Employee, label: employment type} + - {column: J, row: 2192, expected_value: Value, label: measure} + - {column: L, row: 2193, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2194 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2194, expected_value: S92000003, label: geography} + - {column: D, row: 2194, expected_value: All persons, label: sex} + - {column: E, row: 2194, expected_value: Employee, label: employment type} + - {column: J, row: 2194, expected_value: Value, label: measure} + - {column: L, row: 2195, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2196 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2196, expected_value: S92000003, label: geography} + - {column: D, row: 2196, expected_value: All persons, label: sex} + - {column: E, row: 2196, expected_value: Employee, label: employment type} + - {column: J, row: 2196, expected_value: Value, label: measure} + - {column: L, row: 2197, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2198 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2198, expected_value: S92000003, label: geography} + - {column: D, row: 2198, expected_value: All persons, label: sex} + - {column: E, row: 2198, expected_value: Employee, label: employment type} + - {column: J, row: 2198, expected_value: Value, label: measure} + - {column: L, row: 2199, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2200 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2200, expected_value: S92000003, label: geography} + - {column: D, row: 2200, expected_value: All persons, label: sex} + - {column: E, row: 2200, expected_value: Employee, label: employment type} + - {column: J, row: 2200, expected_value: Value, label: measure} + - {column: L, row: 2201, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2202 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2202, expected_value: S92000003, label: geography} + - {column: D, row: 2202, expected_value: All persons, label: sex} + - {column: E, row: 2202, expected_value: Employee, label: employment type} + - {column: J, row: 2202, expected_value: Value, label: measure} + - {column: L, row: 2203, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2204 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2204, expected_value: S92000003, label: geography} + - {column: D, row: 2204, expected_value: All persons, label: sex} + - {column: E, row: 2204, expected_value: Employee, label: employment type} + - {column: J, row: 2204, expected_value: Value, label: measure} + - {column: L, row: 2205, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2206 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2206, expected_value: S92000003, label: geography} + - {column: D, row: 2206, expected_value: All persons, label: sex} + - {column: E, row: 2206, expected_value: Employee, label: employment type} + - {column: J, row: 2206, expected_value: Value, label: measure} + - {column: L, row: 2207, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2208 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2208, expected_value: S92000003, label: geography} + - {column: D, row: 2208, expected_value: All persons, label: sex} + - {column: E, row: 2208, expected_value: Employee, label: employment type} + - {column: J, row: 2208, expected_value: Value, label: measure} + - {column: L, row: 2209, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2210 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2210, expected_value: S92000003, label: geography} + - {column: D, row: 2210, expected_value: All persons, label: sex} + - {column: E, row: 2210, expected_value: Employee, label: employment type} + - {column: J, row: 2210, expected_value: Value, label: measure} + - {column: L, row: 2211, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2212 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2212, expected_value: S92000003, label: geography} + - {column: D, row: 2212, expected_value: All persons, label: sex} + - {column: E, row: 2212, expected_value: Employee, label: employment type} + - {column: J, row: 2212, expected_value: Value, label: measure} + - {column: L, row: 2213, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2216 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2216, expected_value: S92000003, label: geography} + - {column: D, row: 2216, expected_value: All persons, label: sex} + - {column: E, row: 2216, expected_value: Employee, label: employment type} + - {column: J, row: 2216, expected_value: Value, label: measure} + - {column: L, row: 2217, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2218 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2218, expected_value: S92000003, label: geography} + - {column: D, row: 2218, expected_value: All persons, label: sex} + - {column: E, row: 2218, expected_value: Employee, label: employment type} + - {column: J, row: 2218, expected_value: Value, label: measure} + - {column: L, row: 2219, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2220 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2220, expected_value: S92000003, label: geography} + - {column: D, row: 2220, expected_value: All persons, label: sex} + - {column: E, row: 2220, expected_value: Employee, label: employment type} + - {column: J, row: 2220, expected_value: Value, label: measure} + - {column: L, row: 2221, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2222 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2222, expected_value: S92000003, label: geography} + - {column: D, row: 2222, expected_value: All persons, label: sex} + - {column: E, row: 2222, expected_value: Employee, label: employment type} + - {column: J, row: 2222, expected_value: Value, label: measure} + - {column: L, row: 2223, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2224 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2224, expected_value: S92000003, label: geography} + - {column: D, row: 2224, expected_value: All persons, label: sex} + - {column: E, row: 2224, expected_value: Employee, label: employment type} + - {column: J, row: 2224, expected_value: Value, label: measure} + - {column: L, row: 2225, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2226 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2226, expected_value: S92000003, label: geography} + - {column: D, row: 2226, expected_value: All persons, label: sex} + - {column: E, row: 2226, expected_value: Employee, label: employment type} + - {column: J, row: 2226, expected_value: Value, label: measure} + - {column: L, row: 2227, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2228 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2228, expected_value: S92000003, label: geography} + - {column: D, row: 2228, expected_value: All persons, label: sex} + - {column: E, row: 2228, expected_value: Employee, label: employment type} + - {column: J, row: 2228, expected_value: Value, label: measure} + - {column: L, row: 2229, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2230 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2230, expected_value: S92000003, label: geography} + - {column: D, row: 2230, expected_value: All persons, label: sex} + - {column: E, row: 2230, expected_value: Employee, label: employment type} + - {column: J, row: 2230, expected_value: Value, label: measure} + - {column: L, row: 2231, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2232 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2232, expected_value: S92000003, label: geography} + - {column: D, row: 2232, expected_value: All persons, label: sex} + - {column: E, row: 2232, expected_value: Employee, label: employment type} + - {column: J, row: 2232, expected_value: Value, label: measure} + - {column: L, row: 2233, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2163 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2163, expected_value: S92000003, label: geography} + - {column: D, row: 2163, expected_value: All persons, label: sex} + - {column: E, row: 2163, expected_value: Employee, label: employment type} + - {column: J, row: 2163, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2165 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2165, expected_value: S92000003, label: geography} + - {column: D, row: 2165, expected_value: All persons, label: sex} + - {column: E, row: 2165, expected_value: Employee, label: employment type} + - {column: J, row: 2165, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2167 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2167, expected_value: S92000003, label: geography} + - {column: D, row: 2167, expected_value: All persons, label: sex} + - {column: E, row: 2167, expected_value: Employee, label: employment type} + - {column: J, row: 2167, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2169 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2169, expected_value: S92000003, label: geography} + - {column: D, row: 2169, expected_value: All persons, label: sex} + - {column: E, row: 2169, expected_value: Employee, label: employment type} + - {column: J, row: 2169, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2171 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2171, expected_value: S92000003, label: geography} + - {column: D, row: 2171, expected_value: All persons, label: sex} + - {column: E, row: 2171, expected_value: Employee, label: employment type} + - {column: J, row: 2171, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2173 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2173, expected_value: S92000003, label: geography} + - {column: D, row: 2173, expected_value: All persons, label: sex} + - {column: E, row: 2173, expected_value: Employee, label: employment type} + - {column: J, row: 2173, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2175 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2175, expected_value: S92000003, label: geography} + - {column: D, row: 2175, expected_value: All persons, label: sex} + - {column: E, row: 2175, expected_value: Employee, label: employment type} + - {column: J, row: 2175, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2177 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2177, expected_value: S92000003, label: geography} + - {column: D, row: 2177, expected_value: All persons, label: sex} + - {column: E, row: 2177, expected_value: Employee, label: employment type} + - {column: J, row: 2177, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2179 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2179, expected_value: S92000003, label: geography} + - {column: D, row: 2179, expected_value: All persons, label: sex} + - {column: E, row: 2179, expected_value: Employee, label: employment type} + - {column: J, row: 2179, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2181 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2181, expected_value: S92000003, label: geography} + - {column: D, row: 2181, expected_value: All persons, label: sex} + - {column: E, row: 2181, expected_value: Employee, label: employment type} + - {column: J, row: 2181, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2183 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2183, expected_value: S92000003, label: geography} + - {column: D, row: 2183, expected_value: All persons, label: sex} + - {column: E, row: 2183, expected_value: Employee, label: employment type} + - {column: J, row: 2183, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2185 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2185, expected_value: S92000003, label: geography} + - {column: D, row: 2185, expected_value: All persons, label: sex} + - {column: E, row: 2185, expected_value: Employee, label: employment type} + - {column: J, row: 2185, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2187 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2187, expected_value: S92000003, label: geography} + - {column: D, row: 2187, expected_value: All persons, label: sex} + - {column: E, row: 2187, expected_value: Employee, label: employment type} + - {column: J, row: 2187, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2189 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2189, expected_value: S92000003, label: geography} + - {column: D, row: 2189, expected_value: All persons, label: sex} + - {column: E, row: 2189, expected_value: Employee, label: employment type} + - {column: J, row: 2189, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2191 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2191, expected_value: S92000003, label: geography} + - {column: D, row: 2191, expected_value: All persons, label: sex} + - {column: E, row: 2191, expected_value: Employee, label: employment type} + - {column: J, row: 2191, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2193 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2193, expected_value: S92000003, label: geography} + - {column: D, row: 2193, expected_value: All persons, label: sex} + - {column: E, row: 2193, expected_value: Employee, label: employment type} + - {column: J, row: 2193, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2195 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2195, expected_value: S92000003, label: geography} + - {column: D, row: 2195, expected_value: All persons, label: sex} + - {column: E, row: 2195, expected_value: Employee, label: employment type} + - {column: J, row: 2195, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2197 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2197, expected_value: S92000003, label: geography} + - {column: D, row: 2197, expected_value: All persons, label: sex} + - {column: E, row: 2197, expected_value: Employee, label: employment type} + - {column: J, row: 2197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2199 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2199, expected_value: S92000003, label: geography} + - {column: D, row: 2199, expected_value: All persons, label: sex} + - {column: E, row: 2199, expected_value: Employee, label: employment type} + - {column: J, row: 2199, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2201 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2201, expected_value: S92000003, label: geography} + - {column: D, row: 2201, expected_value: All persons, label: sex} + - {column: E, row: 2201, expected_value: Employee, label: employment type} + - {column: J, row: 2201, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2203 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2203, expected_value: S92000003, label: geography} + - {column: D, row: 2203, expected_value: All persons, label: sex} + - {column: E, row: 2203, expected_value: Employee, label: employment type} + - {column: J, row: 2203, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2205 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2205, expected_value: S92000003, label: geography} + - {column: D, row: 2205, expected_value: All persons, label: sex} + - {column: E, row: 2205, expected_value: Employee, label: employment type} + - {column: J, row: 2205, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2207 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2207, expected_value: S92000003, label: geography} + - {column: D, row: 2207, expected_value: All persons, label: sex} + - {column: E, row: 2207, expected_value: Employee, label: employment type} + - {column: J, row: 2207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2209 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2209, expected_value: S92000003, label: geography} + - {column: D, row: 2209, expected_value: All persons, label: sex} + - {column: E, row: 2209, expected_value: Employee, label: employment type} + - {column: J, row: 2209, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2211 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2211, expected_value: S92000003, label: geography} + - {column: D, row: 2211, expected_value: All persons, label: sex} + - {column: E, row: 2211, expected_value: Employee, label: employment type} + - {column: J, row: 2211, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2213 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2213, expected_value: S92000003, label: geography} + - {column: D, row: 2213, expected_value: All persons, label: sex} + - {column: E, row: 2213, expected_value: Employee, label: employment type} + - {column: J, row: 2213, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2217 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2217, expected_value: S92000003, label: geography} + - {column: D, row: 2217, expected_value: All persons, label: sex} + - {column: E, row: 2217, expected_value: Employee, label: employment type} + - {column: J, row: 2217, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2219 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2219, expected_value: S92000003, label: geography} + - {column: D, row: 2219, expected_value: All persons, label: sex} + - {column: E, row: 2219, expected_value: Employee, label: employment type} + - {column: J, row: 2219, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2221 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2221, expected_value: S92000003, label: geography} + - {column: D, row: 2221, expected_value: All persons, label: sex} + - {column: E, row: 2221, expected_value: Employee, label: employment type} + - {column: J, row: 2221, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2223 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2223, expected_value: S92000003, label: geography} + - {column: D, row: 2223, expected_value: All persons, label: sex} + - {column: E, row: 2223, expected_value: Employee, label: employment type} + - {column: J, row: 2223, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2225 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2225, expected_value: S92000003, label: geography} + - {column: D, row: 2225, expected_value: All persons, label: sex} + - {column: E, row: 2225, expected_value: Employee, label: employment type} + - {column: J, row: 2225, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2227 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2227, expected_value: S92000003, label: geography} + - {column: D, row: 2227, expected_value: All persons, label: sex} + - {column: E, row: 2227, expected_value: Employee, label: employment type} + - {column: J, row: 2227, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2229 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2229, expected_value: S92000003, label: geography} + - {column: D, row: 2229, expected_value: All persons, label: sex} + - {column: E, row: 2229, expected_value: Employee, label: employment type} + - {column: J, row: 2229, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2231 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2231, expected_value: S92000003, label: geography} + - {column: D, row: 2231, expected_value: All persons, label: sex} + - {column: E, row: 2231, expected_value: Employee, label: employment type} + - {column: J, row: 2231, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2233 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2233, expected_value: S92000003, label: geography} + - {column: D, row: 2233, expected_value: All persons, label: sex} + - {column: E, row: 2233, expected_value: Employee, label: employment type} + - {column: J, row: 2233, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2378 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2378, expected_value: S92000003, label: geography} + - {column: D, row: 2378, expected_value: All persons, label: sex} + - {column: E, row: 2378, expected_value: Self-employed, label: employment type} + - {column: J, row: 2378, expected_value: Value, label: measure} + - {column: L, row: 2379, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2380 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2380, expected_value: S92000003, label: geography} + - {column: D, row: 2380, expected_value: All persons, label: sex} + - {column: E, row: 2380, expected_value: Self-employed, label: employment type} + - {column: J, row: 2380, expected_value: Value, label: measure} + - {column: L, row: 2381, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2382 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2382, expected_value: S92000003, label: geography} + - {column: D, row: 2382, expected_value: All persons, label: sex} + - {column: E, row: 2382, expected_value: Self-employed, label: employment type} + - {column: J, row: 2382, expected_value: Value, label: measure} + - {column: L, row: 2383, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2384 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2384, expected_value: S92000003, label: geography} + - {column: D, row: 2384, expected_value: All persons, label: sex} + - {column: E, row: 2384, expected_value: Self-employed, label: employment type} + - {column: J, row: 2384, expected_value: Value, label: measure} + - {column: L, row: 2385, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2386 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2386, expected_value: S92000003, label: geography} + - {column: D, row: 2386, expected_value: All persons, label: sex} + - {column: E, row: 2386, expected_value: Self-employed, label: employment type} + - {column: J, row: 2386, expected_value: Value, label: measure} + - {column: L, row: 2387, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2388 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2388, expected_value: S92000003, label: geography} + - {column: D, row: 2388, expected_value: All persons, label: sex} + - {column: E, row: 2388, expected_value: Self-employed, label: employment type} + - {column: J, row: 2388, expected_value: Value, label: measure} + - {column: L, row: 2389, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2390 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2390, expected_value: S92000003, label: geography} + - {column: D, row: 2390, expected_value: All persons, label: sex} + - {column: E, row: 2390, expected_value: Self-employed, label: employment type} + - {column: J, row: 2390, expected_value: Value, label: measure} + - {column: L, row: 2391, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2392 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2392, expected_value: S92000003, label: geography} + - {column: D, row: 2392, expected_value: All persons, label: sex} + - {column: E, row: 2392, expected_value: Self-employed, label: employment type} + - {column: J, row: 2392, expected_value: Value, label: measure} + - {column: L, row: 2393, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2394 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2394, expected_value: S92000003, label: geography} + - {column: D, row: 2394, expected_value: All persons, label: sex} + - {column: E, row: 2394, expected_value: Self-employed, label: employment type} + - {column: J, row: 2394, expected_value: Value, label: measure} + - {column: L, row: 2395, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2396 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2396, expected_value: S92000003, label: geography} + - {column: D, row: 2396, expected_value: All persons, label: sex} + - {column: E, row: 2396, expected_value: Self-employed, label: employment type} + - {column: J, row: 2396, expected_value: Value, label: measure} + - {column: L, row: 2397, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2398 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2398, expected_value: S92000003, label: geography} + - {column: D, row: 2398, expected_value: All persons, label: sex} + - {column: E, row: 2398, expected_value: Self-employed, label: employment type} + - {column: J, row: 2398, expected_value: Value, label: measure} + - {column: L, row: 2399, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2400 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2400, expected_value: S92000003, label: geography} + - {column: D, row: 2400, expected_value: All persons, label: sex} + - {column: E, row: 2400, expected_value: Self-employed, label: employment type} + - {column: J, row: 2400, expected_value: Value, label: measure} + - {column: L, row: 2401, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2402 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2402, expected_value: S92000003, label: geography} + - {column: D, row: 2402, expected_value: All persons, label: sex} + - {column: E, row: 2402, expected_value: Self-employed, label: employment type} + - {column: J, row: 2402, expected_value: Value, label: measure} + - {column: L, row: 2403, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2404 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2404, expected_value: S92000003, label: geography} + - {column: D, row: 2404, expected_value: All persons, label: sex} + - {column: E, row: 2404, expected_value: Self-employed, label: employment type} + - {column: J, row: 2404, expected_value: Value, label: measure} + - {column: L, row: 2405, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2406 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2406, expected_value: S92000003, label: geography} + - {column: D, row: 2406, expected_value: All persons, label: sex} + - {column: E, row: 2406, expected_value: Self-employed, label: employment type} + - {column: J, row: 2406, expected_value: Value, label: measure} + - {column: L, row: 2407, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2408 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2408, expected_value: S92000003, label: geography} + - {column: D, row: 2408, expected_value: All persons, label: sex} + - {column: E, row: 2408, expected_value: Self-employed, label: employment type} + - {column: J, row: 2408, expected_value: Value, label: measure} + - {column: L, row: 2409, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2410 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2410, expected_value: S92000003, label: geography} + - {column: D, row: 2410, expected_value: All persons, label: sex} + - {column: E, row: 2410, expected_value: Self-employed, label: employment type} + - {column: J, row: 2410, expected_value: Value, label: measure} + - {column: L, row: 2411, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2414 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2414, expected_value: S92000003, label: geography} + - {column: D, row: 2414, expected_value: All persons, label: sex} + - {column: E, row: 2414, expected_value: Self-employed, label: employment type} + - {column: J, row: 2414, expected_value: Value, label: measure} + - {column: L, row: 2415, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2416 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2416, expected_value: S92000003, label: geography} + - {column: D, row: 2416, expected_value: All persons, label: sex} + - {column: E, row: 2416, expected_value: Self-employed, label: employment type} + - {column: J, row: 2416, expected_value: Value, label: measure} + - {column: L, row: 2417, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2418 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2418, expected_value: S92000003, label: geography} + - {column: D, row: 2418, expected_value: All persons, label: sex} + - {column: E, row: 2418, expected_value: Self-employed, label: employment type} + - {column: J, row: 2418, expected_value: Value, label: measure} + - {column: L, row: 2419, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2420 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2420, expected_value: S92000003, label: geography} + - {column: D, row: 2420, expected_value: All persons, label: sex} + - {column: E, row: 2420, expected_value: Self-employed, label: employment type} + - {column: J, row: 2420, expected_value: Value, label: measure} + - {column: L, row: 2421, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2422 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2422, expected_value: S92000003, label: geography} + - {column: D, row: 2422, expected_value: All persons, label: sex} + - {column: E, row: 2422, expected_value: Self-employed, label: employment type} + - {column: J, row: 2422, expected_value: Value, label: measure} + - {column: L, row: 2423, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2424 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2424, expected_value: S92000003, label: geography} + - {column: D, row: 2424, expected_value: All persons, label: sex} + - {column: E, row: 2424, expected_value: Self-employed, label: employment type} + - {column: J, row: 2424, expected_value: Value, label: measure} + - {column: L, row: 2425, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2426 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2426, expected_value: S92000003, label: geography} + - {column: D, row: 2426, expected_value: All persons, label: sex} + - {column: E, row: 2426, expected_value: Self-employed, label: employment type} + - {column: J, row: 2426, expected_value: Value, label: measure} + - {column: L, row: 2427, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2428 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2428, expected_value: S92000003, label: geography} + - {column: D, row: 2428, expected_value: All persons, label: sex} + - {column: E, row: 2428, expected_value: Self-employed, label: employment type} + - {column: J, row: 2428, expected_value: Value, label: measure} + - {column: L, row: 2429, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2432 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2432, expected_value: S92000003, label: geography} + - {column: D, row: 2432, expected_value: All persons, label: sex} + - {column: E, row: 2432, expected_value: Self-employed, label: employment type} + - {column: J, row: 2432, expected_value: Value, label: measure} + - {column: L, row: 2433, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2434 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2434, expected_value: S92000003, label: geography} + - {column: D, row: 2434, expected_value: All persons, label: sex} + - {column: E, row: 2434, expected_value: Self-employed, label: employment type} + - {column: J, row: 2434, expected_value: Value, label: measure} + - {column: L, row: 2435, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2436 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2436, expected_value: S92000003, label: geography} + - {column: D, row: 2436, expected_value: All persons, label: sex} + - {column: E, row: 2436, expected_value: Self-employed, label: employment type} + - {column: J, row: 2436, expected_value: Value, label: measure} + - {column: L, row: 2437, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2438 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2438, expected_value: S92000003, label: geography} + - {column: D, row: 2438, expected_value: All persons, label: sex} + - {column: E, row: 2438, expected_value: Self-employed, label: employment type} + - {column: J, row: 2438, expected_value: Value, label: measure} + - {column: L, row: 2439, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2440 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2440, expected_value: S92000003, label: geography} + - {column: D, row: 2440, expected_value: All persons, label: sex} + - {column: E, row: 2440, expected_value: Self-employed, label: employment type} + - {column: J, row: 2440, expected_value: Value, label: measure} + - {column: L, row: 2441, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2442 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2442, expected_value: S92000003, label: geography} + - {column: D, row: 2442, expected_value: All persons, label: sex} + - {column: E, row: 2442, expected_value: Self-employed, label: employment type} + - {column: J, row: 2442, expected_value: Value, label: measure} + - {column: L, row: 2443, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2444 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2444, expected_value: S92000003, label: geography} + - {column: D, row: 2444, expected_value: All persons, label: sex} + - {column: E, row: 2444, expected_value: Self-employed, label: employment type} + - {column: J, row: 2444, expected_value: Value, label: measure} + - {column: L, row: 2445, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2446 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2446, expected_value: S92000003, label: geography} + - {column: D, row: 2446, expected_value: All persons, label: sex} + - {column: E, row: 2446, expected_value: Self-employed, label: employment type} + - {column: J, row: 2446, expected_value: Value, label: measure} + - {column: L, row: 2447, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2448 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2448, expected_value: S92000003, label: geography} + - {column: D, row: 2448, expected_value: All persons, label: sex} + - {column: E, row: 2448, expected_value: Self-employed, label: employment type} + - {column: J, row: 2448, expected_value: Value, label: measure} + - {column: L, row: 2449, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2379 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2379, expected_value: S92000003, label: geography} + - {column: D, row: 2379, expected_value: All persons, label: sex} + - {column: E, row: 2379, expected_value: Self-employed, label: employment type} + - {column: J, row: 2379, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2381 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2381, expected_value: S92000003, label: geography} + - {column: D, row: 2381, expected_value: All persons, label: sex} + - {column: E, row: 2381, expected_value: Self-employed, label: employment type} + - {column: J, row: 2381, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2383 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2383, expected_value: S92000003, label: geography} + - {column: D, row: 2383, expected_value: All persons, label: sex} + - {column: E, row: 2383, expected_value: Self-employed, label: employment type} + - {column: J, row: 2383, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2385 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2385, expected_value: S92000003, label: geography} + - {column: D, row: 2385, expected_value: All persons, label: sex} + - {column: E, row: 2385, expected_value: Self-employed, label: employment type} + - {column: J, row: 2385, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2387 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2387, expected_value: S92000003, label: geography} + - {column: D, row: 2387, expected_value: All persons, label: sex} + - {column: E, row: 2387, expected_value: Self-employed, label: employment type} + - {column: J, row: 2387, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2389 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2389, expected_value: S92000003, label: geography} + - {column: D, row: 2389, expected_value: All persons, label: sex} + - {column: E, row: 2389, expected_value: Self-employed, label: employment type} + - {column: J, row: 2389, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2391 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2391, expected_value: S92000003, label: geography} + - {column: D, row: 2391, expected_value: All persons, label: sex} + - {column: E, row: 2391, expected_value: Self-employed, label: employment type} + - {column: J, row: 2391, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2393 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2393, expected_value: S92000003, label: geography} + - {column: D, row: 2393, expected_value: All persons, label: sex} + - {column: E, row: 2393, expected_value: Self-employed, label: employment type} + - {column: J, row: 2393, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2395 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2395, expected_value: S92000003, label: geography} + - {column: D, row: 2395, expected_value: All persons, label: sex} + - {column: E, row: 2395, expected_value: Self-employed, label: employment type} + - {column: J, row: 2395, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2397 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2397, expected_value: S92000003, label: geography} + - {column: D, row: 2397, expected_value: All persons, label: sex} + - {column: E, row: 2397, expected_value: Self-employed, label: employment type} + - {column: J, row: 2397, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2401 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2401, expected_value: S92000003, label: geography} + - {column: D, row: 2401, expected_value: All persons, label: sex} + - {column: E, row: 2401, expected_value: Self-employed, label: employment type} + - {column: J, row: 2401, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2405 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2405, expected_value: S92000003, label: geography} + - {column: D, row: 2405, expected_value: All persons, label: sex} + - {column: E, row: 2405, expected_value: Self-employed, label: employment type} + - {column: J, row: 2405, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2407 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2407, expected_value: S92000003, label: geography} + - {column: D, row: 2407, expected_value: All persons, label: sex} + - {column: E, row: 2407, expected_value: Self-employed, label: employment type} + - {column: J, row: 2407, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2409 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2409, expected_value: S92000003, label: geography} + - {column: D, row: 2409, expected_value: All persons, label: sex} + - {column: E, row: 2409, expected_value: Self-employed, label: employment type} + - {column: J, row: 2409, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2411 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2411, expected_value: S92000003, label: geography} + - {column: D, row: 2411, expected_value: All persons, label: sex} + - {column: E, row: 2411, expected_value: Self-employed, label: employment type} + - {column: J, row: 2411, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2415 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2415, expected_value: S92000003, label: geography} + - {column: D, row: 2415, expected_value: All persons, label: sex} + - {column: E, row: 2415, expected_value: Self-employed, label: employment type} + - {column: J, row: 2415, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2417 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2417, expected_value: S92000003, label: geography} + - {column: D, row: 2417, expected_value: All persons, label: sex} + - {column: E, row: 2417, expected_value: Self-employed, label: employment type} + - {column: J, row: 2417, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2419 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2419, expected_value: S92000003, label: geography} + - {column: D, row: 2419, expected_value: All persons, label: sex} + - {column: E, row: 2419, expected_value: Self-employed, label: employment type} + - {column: J, row: 2419, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2421 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2421, expected_value: S92000003, label: geography} + - {column: D, row: 2421, expected_value: All persons, label: sex} + - {column: E, row: 2421, expected_value: Self-employed, label: employment type} + - {column: J, row: 2421, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2423 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2423, expected_value: S92000003, label: geography} + - {column: D, row: 2423, expected_value: All persons, label: sex} + - {column: E, row: 2423, expected_value: Self-employed, label: employment type} + - {column: J, row: 2423, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2425 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2425, expected_value: S92000003, label: geography} + - {column: D, row: 2425, expected_value: All persons, label: sex} + - {column: E, row: 2425, expected_value: Self-employed, label: employment type} + - {column: J, row: 2425, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2427 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2427, expected_value: S92000003, label: geography} + - {column: D, row: 2427, expected_value: All persons, label: sex} + - {column: E, row: 2427, expected_value: Self-employed, label: employment type} + - {column: J, row: 2427, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2429 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2429, expected_value: S92000003, label: geography} + - {column: D, row: 2429, expected_value: All persons, label: sex} + - {column: E, row: 2429, expected_value: Self-employed, label: employment type} + - {column: J, row: 2429, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2433 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2433, expected_value: S92000003, label: geography} + - {column: D, row: 2433, expected_value: All persons, label: sex} + - {column: E, row: 2433, expected_value: Self-employed, label: employment type} + - {column: J, row: 2433, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2435 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2435, expected_value: S92000003, label: geography} + - {column: D, row: 2435, expected_value: All persons, label: sex} + - {column: E, row: 2435, expected_value: Self-employed, label: employment type} + - {column: J, row: 2435, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2439 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2439, expected_value: S92000003, label: geography} + - {column: D, row: 2439, expected_value: All persons, label: sex} + - {column: E, row: 2439, expected_value: Self-employed, label: employment type} + - {column: J, row: 2439, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2441 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2441, expected_value: S92000003, label: geography} + - {column: D, row: 2441, expected_value: All persons, label: sex} + - {column: E, row: 2441, expected_value: Self-employed, label: employment type} + - {column: J, row: 2441, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2443 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2443, expected_value: S92000003, label: geography} + - {column: D, row: 2443, expected_value: All persons, label: sex} + - {column: E, row: 2443, expected_value: Self-employed, label: employment type} + - {column: J, row: 2443, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2445 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2445, expected_value: S92000003, label: geography} + - {column: D, row: 2445, expected_value: All persons, label: sex} + - {column: E, row: 2445, expected_value: Self-employed, label: employment type} + - {column: J, row: 2445, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2447 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2447, expected_value: S92000003, label: geography} + - {column: D, row: 2447, expected_value: All persons, label: sex} + - {column: E, row: 2447, expected_value: Self-employed, label: employment type} + - {column: J, row: 2447, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2449 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2449, expected_value: S92000003, label: geography} + - {column: D, row: 2449, expected_value: All persons, label: sex} + - {column: E, row: 2449, expected_value: Self-employed, label: employment type} + - {column: J, row: 2449, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2018 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2018, expected_value: S92000003, label: geography} + - {column: D, row: 2018, expected_value: Males, label: sex} + - {column: E, row: 2018, expected_value: Total, label: employment type} + - {column: J, row: 2018, expected_value: Value, label: measure} + - {column: L, row: 2019, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2020 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2020, expected_value: S92000003, label: geography} + - {column: D, row: 2020, expected_value: Males, label: sex} + - {column: E, row: 2020, expected_value: Total, label: employment type} + - {column: J, row: 2020, expected_value: Value, label: measure} + - {column: L, row: 2021, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2022 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2022, expected_value: S92000003, label: geography} + - {column: D, row: 2022, expected_value: Males, label: sex} + - {column: E, row: 2022, expected_value: Total, label: employment type} + - {column: J, row: 2022, expected_value: Value, label: measure} + - {column: L, row: 2023, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2024 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2024, expected_value: S92000003, label: geography} + - {column: D, row: 2024, expected_value: Males, label: sex} + - {column: E, row: 2024, expected_value: Total, label: employment type} + - {column: J, row: 2024, expected_value: Value, label: measure} + - {column: L, row: 2025, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2026 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2026, expected_value: S92000003, label: geography} + - {column: D, row: 2026, expected_value: Males, label: sex} + - {column: E, row: 2026, expected_value: Total, label: employment type} + - {column: J, row: 2026, expected_value: Value, label: measure} + - {column: L, row: 2027, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2028 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2028, expected_value: S92000003, label: geography} + - {column: D, row: 2028, expected_value: Males, label: sex} + - {column: E, row: 2028, expected_value: Total, label: employment type} + - {column: J, row: 2028, expected_value: Value, label: measure} + - {column: L, row: 2029, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2030 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2030, expected_value: S92000003, label: geography} + - {column: D, row: 2030, expected_value: Males, label: sex} + - {column: E, row: 2030, expected_value: Total, label: employment type} + - {column: J, row: 2030, expected_value: Value, label: measure} + - {column: L, row: 2031, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2032 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2032, expected_value: S92000003, label: geography} + - {column: D, row: 2032, expected_value: Males, label: sex} + - {column: E, row: 2032, expected_value: Total, label: employment type} + - {column: J, row: 2032, expected_value: Value, label: measure} + - {column: L, row: 2033, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2034 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2034, expected_value: S92000003, label: geography} + - {column: D, row: 2034, expected_value: Males, label: sex} + - {column: E, row: 2034, expected_value: Total, label: employment type} + - {column: J, row: 2034, expected_value: Value, label: measure} + - {column: L, row: 2035, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2036 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2036, expected_value: S92000003, label: geography} + - {column: D, row: 2036, expected_value: Males, label: sex} + - {column: E, row: 2036, expected_value: Total, label: employment type} + - {column: J, row: 2036, expected_value: Value, label: measure} + - {column: L, row: 2037, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2038 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2038, expected_value: S92000003, label: geography} + - {column: D, row: 2038, expected_value: Males, label: sex} + - {column: E, row: 2038, expected_value: Total, label: employment type} + - {column: J, row: 2038, expected_value: Value, label: measure} + - {column: L, row: 2039, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2040 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2040, expected_value: S92000003, label: geography} + - {column: D, row: 2040, expected_value: Males, label: sex} + - {column: E, row: 2040, expected_value: Total, label: employment type} + - {column: J, row: 2040, expected_value: Value, label: measure} + - {column: L, row: 2041, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2042 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2042, expected_value: S92000003, label: geography} + - {column: D, row: 2042, expected_value: Males, label: sex} + - {column: E, row: 2042, expected_value: Total, label: employment type} + - {column: J, row: 2042, expected_value: Value, label: measure} + - {column: L, row: 2043, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2044 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2044, expected_value: S92000003, label: geography} + - {column: D, row: 2044, expected_value: Males, label: sex} + - {column: E, row: 2044, expected_value: Total, label: employment type} + - {column: J, row: 2044, expected_value: Value, label: measure} + - {column: L, row: 2045, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2046 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2046, expected_value: S92000003, label: geography} + - {column: D, row: 2046, expected_value: Males, label: sex} + - {column: E, row: 2046, expected_value: Total, label: employment type} + - {column: J, row: 2046, expected_value: Value, label: measure} + - {column: L, row: 2047, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2048 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2048, expected_value: S92000003, label: geography} + - {column: D, row: 2048, expected_value: Males, label: sex} + - {column: E, row: 2048, expected_value: Total, label: employment type} + - {column: J, row: 2048, expected_value: Value, label: measure} + - {column: L, row: 2049, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2050 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2050, expected_value: S92000003, label: geography} + - {column: D, row: 2050, expected_value: Males, label: sex} + - {column: E, row: 2050, expected_value: Total, label: employment type} + - {column: J, row: 2050, expected_value: Value, label: measure} + - {column: L, row: 2051, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2052 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2052, expected_value: S92000003, label: geography} + - {column: D, row: 2052, expected_value: Males, label: sex} + - {column: E, row: 2052, expected_value: Total, label: employment type} + - {column: J, row: 2052, expected_value: Value, label: measure} + - {column: L, row: 2053, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2054 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2054, expected_value: S92000003, label: geography} + - {column: D, row: 2054, expected_value: Males, label: sex} + - {column: E, row: 2054, expected_value: Total, label: employment type} + - {column: J, row: 2054, expected_value: Value, label: measure} + - {column: L, row: 2055, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2056 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2056, expected_value: S92000003, label: geography} + - {column: D, row: 2056, expected_value: Males, label: sex} + - {column: E, row: 2056, expected_value: Total, label: employment type} + - {column: J, row: 2056, expected_value: Value, label: measure} + - {column: L, row: 2057, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2058 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2058, expected_value: S92000003, label: geography} + - {column: D, row: 2058, expected_value: Males, label: sex} + - {column: E, row: 2058, expected_value: Total, label: employment type} + - {column: J, row: 2058, expected_value: Value, label: measure} + - {column: L, row: 2059, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2060 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2060, expected_value: S92000003, label: geography} + - {column: D, row: 2060, expected_value: Males, label: sex} + - {column: E, row: 2060, expected_value: Total, label: employment type} + - {column: J, row: 2060, expected_value: Value, label: measure} + - {column: L, row: 2061, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2062 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2062, expected_value: S92000003, label: geography} + - {column: D, row: 2062, expected_value: Males, label: sex} + - {column: E, row: 2062, expected_value: Total, label: employment type} + - {column: J, row: 2062, expected_value: Value, label: measure} + - {column: L, row: 2063, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2064 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2064, expected_value: S92000003, label: geography} + - {column: D, row: 2064, expected_value: Males, label: sex} + - {column: E, row: 2064, expected_value: Total, label: employment type} + - {column: J, row: 2064, expected_value: Value, label: measure} + - {column: L, row: 2065, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2066 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2066, expected_value: S92000003, label: geography} + - {column: D, row: 2066, expected_value: Males, label: sex} + - {column: E, row: 2066, expected_value: Total, label: employment type} + - {column: J, row: 2066, expected_value: Value, label: measure} + - {column: L, row: 2067, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2068 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2068, expected_value: S92000003, label: geography} + - {column: D, row: 2068, expected_value: Males, label: sex} + - {column: E, row: 2068, expected_value: Total, label: employment type} + - {column: J, row: 2068, expected_value: Value, label: measure} + - {column: L, row: 2069, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2072 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2072, expected_value: S92000003, label: geography} + - {column: D, row: 2072, expected_value: Males, label: sex} + - {column: E, row: 2072, expected_value: Total, label: employment type} + - {column: J, row: 2072, expected_value: Value, label: measure} + - {column: L, row: 2073, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2074 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2074, expected_value: S92000003, label: geography} + - {column: D, row: 2074, expected_value: Males, label: sex} + - {column: E, row: 2074, expected_value: Total, label: employment type} + - {column: J, row: 2074, expected_value: Value, label: measure} + - {column: L, row: 2075, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2076 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2076, expected_value: S92000003, label: geography} + - {column: D, row: 2076, expected_value: Males, label: sex} + - {column: E, row: 2076, expected_value: Total, label: employment type} + - {column: J, row: 2076, expected_value: Value, label: measure} + - {column: L, row: 2077, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2078 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2078, expected_value: S92000003, label: geography} + - {column: D, row: 2078, expected_value: Males, label: sex} + - {column: E, row: 2078, expected_value: Total, label: employment type} + - {column: J, row: 2078, expected_value: Value, label: measure} + - {column: L, row: 2079, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2080 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2080, expected_value: S92000003, label: geography} + - {column: D, row: 2080, expected_value: Males, label: sex} + - {column: E, row: 2080, expected_value: Total, label: employment type} + - {column: J, row: 2080, expected_value: Value, label: measure} + - {column: L, row: 2081, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2082 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2082, expected_value: S92000003, label: geography} + - {column: D, row: 2082, expected_value: Males, label: sex} + - {column: E, row: 2082, expected_value: Total, label: employment type} + - {column: J, row: 2082, expected_value: Value, label: measure} + - {column: L, row: 2083, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2084 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2084, expected_value: S92000003, label: geography} + - {column: D, row: 2084, expected_value: Males, label: sex} + - {column: E, row: 2084, expected_value: Total, label: employment type} + - {column: J, row: 2084, expected_value: Value, label: measure} + - {column: L, row: 2085, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2086 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2086, expected_value: S92000003, label: geography} + - {column: D, row: 2086, expected_value: Males, label: sex} + - {column: E, row: 2086, expected_value: Total, label: employment type} + - {column: J, row: 2086, expected_value: Value, label: measure} + - {column: L, row: 2087, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2088 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2088, expected_value: S92000003, label: geography} + - {column: D, row: 2088, expected_value: Males, label: sex} + - {column: E, row: 2088, expected_value: Total, label: employment type} + - {column: J, row: 2088, expected_value: Value, label: measure} + - {column: L, row: 2089, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2019 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2019, expected_value: S92000003, label: geography} + - {column: D, row: 2019, expected_value: Males, label: sex} + - {column: E, row: 2019, expected_value: Total, label: employment type} + - {column: J, row: 2019, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2021 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2021, expected_value: S92000003, label: geography} + - {column: D, row: 2021, expected_value: Males, label: sex} + - {column: E, row: 2021, expected_value: Total, label: employment type} + - {column: J, row: 2021, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2023 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2023, expected_value: S92000003, label: geography} + - {column: D, row: 2023, expected_value: Males, label: sex} + - {column: E, row: 2023, expected_value: Total, label: employment type} + - {column: J, row: 2023, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2025 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2025, expected_value: S92000003, label: geography} + - {column: D, row: 2025, expected_value: Males, label: sex} + - {column: E, row: 2025, expected_value: Total, label: employment type} + - {column: J, row: 2025, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2027 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2027, expected_value: S92000003, label: geography} + - {column: D, row: 2027, expected_value: Males, label: sex} + - {column: E, row: 2027, expected_value: Total, label: employment type} + - {column: J, row: 2027, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2029 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2029, expected_value: S92000003, label: geography} + - {column: D, row: 2029, expected_value: Males, label: sex} + - {column: E, row: 2029, expected_value: Total, label: employment type} + - {column: J, row: 2029, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2031 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2031, expected_value: S92000003, label: geography} + - {column: D, row: 2031, expected_value: Males, label: sex} + - {column: E, row: 2031, expected_value: Total, label: employment type} + - {column: J, row: 2031, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2033 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2033, expected_value: S92000003, label: geography} + - {column: D, row: 2033, expected_value: Males, label: sex} + - {column: E, row: 2033, expected_value: Total, label: employment type} + - {column: J, row: 2033, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2035 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2035, expected_value: S92000003, label: geography} + - {column: D, row: 2035, expected_value: Males, label: sex} + - {column: E, row: 2035, expected_value: Total, label: employment type} + - {column: J, row: 2035, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2037 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2037, expected_value: S92000003, label: geography} + - {column: D, row: 2037, expected_value: Males, label: sex} + - {column: E, row: 2037, expected_value: Total, label: employment type} + - {column: J, row: 2037, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2039 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2039, expected_value: S92000003, label: geography} + - {column: D, row: 2039, expected_value: Males, label: sex} + - {column: E, row: 2039, expected_value: Total, label: employment type} + - {column: J, row: 2039, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2041 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2041, expected_value: S92000003, label: geography} + - {column: D, row: 2041, expected_value: Males, label: sex} + - {column: E, row: 2041, expected_value: Total, label: employment type} + - {column: J, row: 2041, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2043 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2043, expected_value: S92000003, label: geography} + - {column: D, row: 2043, expected_value: Males, label: sex} + - {column: E, row: 2043, expected_value: Total, label: employment type} + - {column: J, row: 2043, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2045 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2045, expected_value: S92000003, label: geography} + - {column: D, row: 2045, expected_value: Males, label: sex} + - {column: E, row: 2045, expected_value: Total, label: employment type} + - {column: J, row: 2045, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2047 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2047, expected_value: S92000003, label: geography} + - {column: D, row: 2047, expected_value: Males, label: sex} + - {column: E, row: 2047, expected_value: Total, label: employment type} + - {column: J, row: 2047, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2049 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2049, expected_value: S92000003, label: geography} + - {column: D, row: 2049, expected_value: Males, label: sex} + - {column: E, row: 2049, expected_value: Total, label: employment type} + - {column: J, row: 2049, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2051 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2051, expected_value: S92000003, label: geography} + - {column: D, row: 2051, expected_value: Males, label: sex} + - {column: E, row: 2051, expected_value: Total, label: employment type} + - {column: J, row: 2051, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2055 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2055, expected_value: S92000003, label: geography} + - {column: D, row: 2055, expected_value: Males, label: sex} + - {column: E, row: 2055, expected_value: Total, label: employment type} + - {column: J, row: 2055, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2057 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2057, expected_value: S92000003, label: geography} + - {column: D, row: 2057, expected_value: Males, label: sex} + - {column: E, row: 2057, expected_value: Total, label: employment type} + - {column: J, row: 2057, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2059 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2059, expected_value: S92000003, label: geography} + - {column: D, row: 2059, expected_value: Males, label: sex} + - {column: E, row: 2059, expected_value: Total, label: employment type} + - {column: J, row: 2059, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2061 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2061, expected_value: S92000003, label: geography} + - {column: D, row: 2061, expected_value: Males, label: sex} + - {column: E, row: 2061, expected_value: Total, label: employment type} + - {column: J, row: 2061, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2063 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2063, expected_value: S92000003, label: geography} + - {column: D, row: 2063, expected_value: Males, label: sex} + - {column: E, row: 2063, expected_value: Total, label: employment type} + - {column: J, row: 2063, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2065 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2065, expected_value: S92000003, label: geography} + - {column: D, row: 2065, expected_value: Males, label: sex} + - {column: E, row: 2065, expected_value: Total, label: employment type} + - {column: J, row: 2065, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2067 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2067, expected_value: S92000003, label: geography} + - {column: D, row: 2067, expected_value: Males, label: sex} + - {column: E, row: 2067, expected_value: Total, label: employment type} + - {column: J, row: 2067, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2069 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2069, expected_value: S92000003, label: geography} + - {column: D, row: 2069, expected_value: Males, label: sex} + - {column: E, row: 2069, expected_value: Total, label: employment type} + - {column: J, row: 2069, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2073 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2073, expected_value: S92000003, label: geography} + - {column: D, row: 2073, expected_value: Males, label: sex} + - {column: E, row: 2073, expected_value: Total, label: employment type} + - {column: J, row: 2073, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2075 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2075, expected_value: S92000003, label: geography} + - {column: D, row: 2075, expected_value: Males, label: sex} + - {column: E, row: 2075, expected_value: Total, label: employment type} + - {column: J, row: 2075, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2077 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2077, expected_value: S92000003, label: geography} + - {column: D, row: 2077, expected_value: Males, label: sex} + - {column: E, row: 2077, expected_value: Total, label: employment type} + - {column: J, row: 2077, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2079 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2079, expected_value: S92000003, label: geography} + - {column: D, row: 2079, expected_value: Males, label: sex} + - {column: E, row: 2079, expected_value: Total, label: employment type} + - {column: J, row: 2079, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2081 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2081, expected_value: S92000003, label: geography} + - {column: D, row: 2081, expected_value: Males, label: sex} + - {column: E, row: 2081, expected_value: Total, label: employment type} + - {column: J, row: 2081, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2083 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2083, expected_value: S92000003, label: geography} + - {column: D, row: 2083, expected_value: Males, label: sex} + - {column: E, row: 2083, expected_value: Total, label: employment type} + - {column: J, row: 2083, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2085 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2085, expected_value: S92000003, label: geography} + - {column: D, row: 2085, expected_value: Males, label: sex} + - {column: E, row: 2085, expected_value: Total, label: employment type} + - {column: J, row: 2085, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2087 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2087, expected_value: S92000003, label: geography} + - {column: D, row: 2087, expected_value: Males, label: sex} + - {column: E, row: 2087, expected_value: Total, label: employment type} + - {column: J, row: 2087, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2089 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2089, expected_value: S92000003, label: geography} + - {column: D, row: 2089, expected_value: Males, label: sex} + - {column: E, row: 2089, expected_value: Total, label: employment type} + - {column: J, row: 2089, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2234 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2234, expected_value: S92000003, label: geography} + - {column: D, row: 2234, expected_value: Males, label: sex} + - {column: E, row: 2234, expected_value: Employee, label: employment type} + - {column: J, row: 2234, expected_value: Value, label: measure} + - {column: L, row: 2235, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2236 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2236, expected_value: S92000003, label: geography} + - {column: D, row: 2236, expected_value: Males, label: sex} + - {column: E, row: 2236, expected_value: Employee, label: employment type} + - {column: J, row: 2236, expected_value: Value, label: measure} + - {column: L, row: 2237, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2238 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2238, expected_value: S92000003, label: geography} + - {column: D, row: 2238, expected_value: Males, label: sex} + - {column: E, row: 2238, expected_value: Employee, label: employment type} + - {column: J, row: 2238, expected_value: Value, label: measure} + - {column: L, row: 2239, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2240 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2240, expected_value: S92000003, label: geography} + - {column: D, row: 2240, expected_value: Males, label: sex} + - {column: E, row: 2240, expected_value: Employee, label: employment type} + - {column: J, row: 2240, expected_value: Value, label: measure} + - {column: L, row: 2241, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2242 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2242, expected_value: S92000003, label: geography} + - {column: D, row: 2242, expected_value: Males, label: sex} + - {column: E, row: 2242, expected_value: Employee, label: employment type} + - {column: J, row: 2242, expected_value: Value, label: measure} + - {column: L, row: 2243, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2244 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2244, expected_value: S92000003, label: geography} + - {column: D, row: 2244, expected_value: Males, label: sex} + - {column: E, row: 2244, expected_value: Employee, label: employment type} + - {column: J, row: 2244, expected_value: Value, label: measure} + - {column: L, row: 2245, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2246 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2246, expected_value: S92000003, label: geography} + - {column: D, row: 2246, expected_value: Males, label: sex} + - {column: E, row: 2246, expected_value: Employee, label: employment type} + - {column: J, row: 2246, expected_value: Value, label: measure} + - {column: L, row: 2247, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2248 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2248, expected_value: S92000003, label: geography} + - {column: D, row: 2248, expected_value: Males, label: sex} + - {column: E, row: 2248, expected_value: Employee, label: employment type} + - {column: J, row: 2248, expected_value: Value, label: measure} + - {column: L, row: 2249, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2250 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2250, expected_value: S92000003, label: geography} + - {column: D, row: 2250, expected_value: Males, label: sex} + - {column: E, row: 2250, expected_value: Employee, label: employment type} + - {column: J, row: 2250, expected_value: Value, label: measure} + - {column: L, row: 2251, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2252 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2252, expected_value: S92000003, label: geography} + - {column: D, row: 2252, expected_value: Males, label: sex} + - {column: E, row: 2252, expected_value: Employee, label: employment type} + - {column: J, row: 2252, expected_value: Value, label: measure} + - {column: L, row: 2253, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2254 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2254, expected_value: S92000003, label: geography} + - {column: D, row: 2254, expected_value: Males, label: sex} + - {column: E, row: 2254, expected_value: Employee, label: employment type} + - {column: J, row: 2254, expected_value: Value, label: measure} + - {column: L, row: 2255, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2256 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2256, expected_value: S92000003, label: geography} + - {column: D, row: 2256, expected_value: Males, label: sex} + - {column: E, row: 2256, expected_value: Employee, label: employment type} + - {column: J, row: 2256, expected_value: Value, label: measure} + - {column: L, row: 2257, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2258 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2258, expected_value: S92000003, label: geography} + - {column: D, row: 2258, expected_value: Males, label: sex} + - {column: E, row: 2258, expected_value: Employee, label: employment type} + - {column: J, row: 2258, expected_value: Value, label: measure} + - {column: L, row: 2259, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2260 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2260, expected_value: S92000003, label: geography} + - {column: D, row: 2260, expected_value: Males, label: sex} + - {column: E, row: 2260, expected_value: Employee, label: employment type} + - {column: J, row: 2260, expected_value: Value, label: measure} + - {column: L, row: 2261, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2262 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2262, expected_value: S92000003, label: geography} + - {column: D, row: 2262, expected_value: Males, label: sex} + - {column: E, row: 2262, expected_value: Employee, label: employment type} + - {column: J, row: 2262, expected_value: Value, label: measure} + - {column: L, row: 2263, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2264 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2264, expected_value: S92000003, label: geography} + - {column: D, row: 2264, expected_value: Males, label: sex} + - {column: E, row: 2264, expected_value: Employee, label: employment type} + - {column: J, row: 2264, expected_value: Value, label: measure} + - {column: L, row: 2265, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2266 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2266, expected_value: S92000003, label: geography} + - {column: D, row: 2266, expected_value: Males, label: sex} + - {column: E, row: 2266, expected_value: Employee, label: employment type} + - {column: J, row: 2266, expected_value: Value, label: measure} + - {column: L, row: 2267, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2268 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2268, expected_value: S92000003, label: geography} + - {column: D, row: 2268, expected_value: Males, label: sex} + - {column: E, row: 2268, expected_value: Employee, label: employment type} + - {column: J, row: 2268, expected_value: Value, label: measure} + - {column: L, row: 2269, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2270 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2270, expected_value: S92000003, label: geography} + - {column: D, row: 2270, expected_value: Males, label: sex} + - {column: E, row: 2270, expected_value: Employee, label: employment type} + - {column: J, row: 2270, expected_value: Value, label: measure} + - {column: L, row: 2271, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2272 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2272, expected_value: S92000003, label: geography} + - {column: D, row: 2272, expected_value: Males, label: sex} + - {column: E, row: 2272, expected_value: Employee, label: employment type} + - {column: J, row: 2272, expected_value: Value, label: measure} + - {column: L, row: 2273, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2274 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2274, expected_value: S92000003, label: geography} + - {column: D, row: 2274, expected_value: Males, label: sex} + - {column: E, row: 2274, expected_value: Employee, label: employment type} + - {column: J, row: 2274, expected_value: Value, label: measure} + - {column: L, row: 2275, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2276 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2276, expected_value: S92000003, label: geography} + - {column: D, row: 2276, expected_value: Males, label: sex} + - {column: E, row: 2276, expected_value: Employee, label: employment type} + - {column: J, row: 2276, expected_value: Value, label: measure} + - {column: L, row: 2277, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2278 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2278, expected_value: S92000003, label: geography} + - {column: D, row: 2278, expected_value: Males, label: sex} + - {column: E, row: 2278, expected_value: Employee, label: employment type} + - {column: J, row: 2278, expected_value: Value, label: measure} + - {column: L, row: 2279, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2280 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2280, expected_value: S92000003, label: geography} + - {column: D, row: 2280, expected_value: Males, label: sex} + - {column: E, row: 2280, expected_value: Employee, label: employment type} + - {column: J, row: 2280, expected_value: Value, label: measure} + - {column: L, row: 2281, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2282 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2282, expected_value: S92000003, label: geography} + - {column: D, row: 2282, expected_value: Males, label: sex} + - {column: E, row: 2282, expected_value: Employee, label: employment type} + - {column: J, row: 2282, expected_value: Value, label: measure} + - {column: L, row: 2283, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2284 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2284, expected_value: S92000003, label: geography} + - {column: D, row: 2284, expected_value: Males, label: sex} + - {column: E, row: 2284, expected_value: Employee, label: employment type} + - {column: J, row: 2284, expected_value: Value, label: measure} + - {column: L, row: 2285, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2288 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2288, expected_value: S92000003, label: geography} + - {column: D, row: 2288, expected_value: Males, label: sex} + - {column: E, row: 2288, expected_value: Employee, label: employment type} + - {column: J, row: 2288, expected_value: Value, label: measure} + - {column: L, row: 2289, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2290 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2290, expected_value: S92000003, label: geography} + - {column: D, row: 2290, expected_value: Males, label: sex} + - {column: E, row: 2290, expected_value: Employee, label: employment type} + - {column: J, row: 2290, expected_value: Value, label: measure} + - {column: L, row: 2291, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2292 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2292, expected_value: S92000003, label: geography} + - {column: D, row: 2292, expected_value: Males, label: sex} + - {column: E, row: 2292, expected_value: Employee, label: employment type} + - {column: J, row: 2292, expected_value: Value, label: measure} + - {column: L, row: 2293, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2294 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2294, expected_value: S92000003, label: geography} + - {column: D, row: 2294, expected_value: Males, label: sex} + - {column: E, row: 2294, expected_value: Employee, label: employment type} + - {column: J, row: 2294, expected_value: Value, label: measure} + - {column: L, row: 2295, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2296 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2296, expected_value: S92000003, label: geography} + - {column: D, row: 2296, expected_value: Males, label: sex} + - {column: E, row: 2296, expected_value: Employee, label: employment type} + - {column: J, row: 2296, expected_value: Value, label: measure} + - {column: L, row: 2297, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2298 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2298, expected_value: S92000003, label: geography} + - {column: D, row: 2298, expected_value: Males, label: sex} + - {column: E, row: 2298, expected_value: Employee, label: employment type} + - {column: J, row: 2298, expected_value: Value, label: measure} + - {column: L, row: 2299, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2300 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2300, expected_value: S92000003, label: geography} + - {column: D, row: 2300, expected_value: Males, label: sex} + - {column: E, row: 2300, expected_value: Employee, label: employment type} + - {column: J, row: 2300, expected_value: Value, label: measure} + - {column: L, row: 2301, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2302 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2302, expected_value: S92000003, label: geography} + - {column: D, row: 2302, expected_value: Males, label: sex} + - {column: E, row: 2302, expected_value: Employee, label: employment type} + - {column: J, row: 2302, expected_value: Value, label: measure} + - {column: L, row: 2303, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2304 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2304, expected_value: S92000003, label: geography} + - {column: D, row: 2304, expected_value: Males, label: sex} + - {column: E, row: 2304, expected_value: Employee, label: employment type} + - {column: J, row: 2304, expected_value: Value, label: measure} + - {column: L, row: 2305, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2235 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2235, expected_value: S92000003, label: geography} + - {column: D, row: 2235, expected_value: Males, label: sex} + - {column: E, row: 2235, expected_value: Employee, label: employment type} + - {column: J, row: 2235, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2237 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2237, expected_value: S92000003, label: geography} + - {column: D, row: 2237, expected_value: Males, label: sex} + - {column: E, row: 2237, expected_value: Employee, label: employment type} + - {column: J, row: 2237, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2239 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2239, expected_value: S92000003, label: geography} + - {column: D, row: 2239, expected_value: Males, label: sex} + - {column: E, row: 2239, expected_value: Employee, label: employment type} + - {column: J, row: 2239, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2241 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2241, expected_value: S92000003, label: geography} + - {column: D, row: 2241, expected_value: Males, label: sex} + - {column: E, row: 2241, expected_value: Employee, label: employment type} + - {column: J, row: 2241, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2243 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2243, expected_value: S92000003, label: geography} + - {column: D, row: 2243, expected_value: Males, label: sex} + - {column: E, row: 2243, expected_value: Employee, label: employment type} + - {column: J, row: 2243, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2245 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2245, expected_value: S92000003, label: geography} + - {column: D, row: 2245, expected_value: Males, label: sex} + - {column: E, row: 2245, expected_value: Employee, label: employment type} + - {column: J, row: 2245, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2247 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2247, expected_value: S92000003, label: geography} + - {column: D, row: 2247, expected_value: Males, label: sex} + - {column: E, row: 2247, expected_value: Employee, label: employment type} + - {column: J, row: 2247, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2249 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2249, expected_value: S92000003, label: geography} + - {column: D, row: 2249, expected_value: Males, label: sex} + - {column: E, row: 2249, expected_value: Employee, label: employment type} + - {column: J, row: 2249, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2251 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2251, expected_value: S92000003, label: geography} + - {column: D, row: 2251, expected_value: Males, label: sex} + - {column: E, row: 2251, expected_value: Employee, label: employment type} + - {column: J, row: 2251, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2253 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2253, expected_value: S92000003, label: geography} + - {column: D, row: 2253, expected_value: Males, label: sex} + - {column: E, row: 2253, expected_value: Employee, label: employment type} + - {column: J, row: 2253, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2255 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2255, expected_value: S92000003, label: geography} + - {column: D, row: 2255, expected_value: Males, label: sex} + - {column: E, row: 2255, expected_value: Employee, label: employment type} + - {column: J, row: 2255, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2257 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2257, expected_value: S92000003, label: geography} + - {column: D, row: 2257, expected_value: Males, label: sex} + - {column: E, row: 2257, expected_value: Employee, label: employment type} + - {column: J, row: 2257, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2259 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2259, expected_value: S92000003, label: geography} + - {column: D, row: 2259, expected_value: Males, label: sex} + - {column: E, row: 2259, expected_value: Employee, label: employment type} + - {column: J, row: 2259, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2261 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2261, expected_value: S92000003, label: geography} + - {column: D, row: 2261, expected_value: Males, label: sex} + - {column: E, row: 2261, expected_value: Employee, label: employment type} + - {column: J, row: 2261, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2263 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2263, expected_value: S92000003, label: geography} + - {column: D, row: 2263, expected_value: Males, label: sex} + - {column: E, row: 2263, expected_value: Employee, label: employment type} + - {column: J, row: 2263, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2265 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2265, expected_value: S92000003, label: geography} + - {column: D, row: 2265, expected_value: Males, label: sex} + - {column: E, row: 2265, expected_value: Employee, label: employment type} + - {column: J, row: 2265, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2267 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2267, expected_value: S92000003, label: geography} + - {column: D, row: 2267, expected_value: Males, label: sex} + - {column: E, row: 2267, expected_value: Employee, label: employment type} + - {column: J, row: 2267, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2271 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2271, expected_value: S92000003, label: geography} + - {column: D, row: 2271, expected_value: Males, label: sex} + - {column: E, row: 2271, expected_value: Employee, label: employment type} + - {column: J, row: 2271, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2273 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2273, expected_value: S92000003, label: geography} + - {column: D, row: 2273, expected_value: Males, label: sex} + - {column: E, row: 2273, expected_value: Employee, label: employment type} + - {column: J, row: 2273, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2275 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2275, expected_value: S92000003, label: geography} + - {column: D, row: 2275, expected_value: Males, label: sex} + - {column: E, row: 2275, expected_value: Employee, label: employment type} + - {column: J, row: 2275, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2277 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2277, expected_value: S92000003, label: geography} + - {column: D, row: 2277, expected_value: Males, label: sex} + - {column: E, row: 2277, expected_value: Employee, label: employment type} + - {column: J, row: 2277, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2279 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2279, expected_value: S92000003, label: geography} + - {column: D, row: 2279, expected_value: Males, label: sex} + - {column: E, row: 2279, expected_value: Employee, label: employment type} + - {column: J, row: 2279, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2281 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2281, expected_value: S92000003, label: geography} + - {column: D, row: 2281, expected_value: Males, label: sex} + - {column: E, row: 2281, expected_value: Employee, label: employment type} + - {column: J, row: 2281, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2283 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2283, expected_value: S92000003, label: geography} + - {column: D, row: 2283, expected_value: Males, label: sex} + - {column: E, row: 2283, expected_value: Employee, label: employment type} + - {column: J, row: 2283, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2285 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2285, expected_value: S92000003, label: geography} + - {column: D, row: 2285, expected_value: Males, label: sex} + - {column: E, row: 2285, expected_value: Employee, label: employment type} + - {column: J, row: 2285, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2289 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2289, expected_value: S92000003, label: geography} + - {column: D, row: 2289, expected_value: Males, label: sex} + - {column: E, row: 2289, expected_value: Employee, label: employment type} + - {column: J, row: 2289, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2291 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2291, expected_value: S92000003, label: geography} + - {column: D, row: 2291, expected_value: Males, label: sex} + - {column: E, row: 2291, expected_value: Employee, label: employment type} + - {column: J, row: 2291, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2293 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2293, expected_value: S92000003, label: geography} + - {column: D, row: 2293, expected_value: Males, label: sex} + - {column: E, row: 2293, expected_value: Employee, label: employment type} + - {column: J, row: 2293, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2295 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2295, expected_value: S92000003, label: geography} + - {column: D, row: 2295, expected_value: Males, label: sex} + - {column: E, row: 2295, expected_value: Employee, label: employment type} + - {column: J, row: 2295, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2297 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2297, expected_value: S92000003, label: geography} + - {column: D, row: 2297, expected_value: Males, label: sex} + - {column: E, row: 2297, expected_value: Employee, label: employment type} + - {column: J, row: 2297, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2299 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2299, expected_value: S92000003, label: geography} + - {column: D, row: 2299, expected_value: Males, label: sex} + - {column: E, row: 2299, expected_value: Employee, label: employment type} + - {column: J, row: 2299, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2301 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2301, expected_value: S92000003, label: geography} + - {column: D, row: 2301, expected_value: Males, label: sex} + - {column: E, row: 2301, expected_value: Employee, label: employment type} + - {column: J, row: 2301, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2303 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2303, expected_value: S92000003, label: geography} + - {column: D, row: 2303, expected_value: Males, label: sex} + - {column: E, row: 2303, expected_value: Employee, label: employment type} + - {column: J, row: 2303, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2305 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2305, expected_value: S92000003, label: geography} + - {column: D, row: 2305, expected_value: Males, label: sex} + - {column: E, row: 2305, expected_value: Employee, label: employment type} + - {column: J, row: 2305, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2450 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2450, expected_value: S92000003, label: geography} + - {column: D, row: 2450, expected_value: Males, label: sex} + - {column: E, row: 2450, expected_value: Self-employed, label: employment type} + - {column: J, row: 2450, expected_value: Value, label: measure} + - {column: L, row: 2451, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2452 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2452, expected_value: S92000003, label: geography} + - {column: D, row: 2452, expected_value: Males, label: sex} + - {column: E, row: 2452, expected_value: Self-employed, label: employment type} + - {column: J, row: 2452, expected_value: Value, label: measure} + - {column: L, row: 2453, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2454 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2454, expected_value: S92000003, label: geography} + - {column: D, row: 2454, expected_value: Males, label: sex} + - {column: E, row: 2454, expected_value: Self-employed, label: employment type} + - {column: J, row: 2454, expected_value: Value, label: measure} + - {column: L, row: 2455, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2456 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2456, expected_value: S92000003, label: geography} + - {column: D, row: 2456, expected_value: Males, label: sex} + - {column: E, row: 2456, expected_value: Self-employed, label: employment type} + - {column: J, row: 2456, expected_value: Value, label: measure} + - {column: L, row: 2457, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2458 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2458, expected_value: S92000003, label: geography} + - {column: D, row: 2458, expected_value: Males, label: sex} + - {column: E, row: 2458, expected_value: Self-employed, label: employment type} + - {column: J, row: 2458, expected_value: Value, label: measure} + - {column: L, row: 2459, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2460 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2460, expected_value: S92000003, label: geography} + - {column: D, row: 2460, expected_value: Males, label: sex} + - {column: E, row: 2460, expected_value: Self-employed, label: employment type} + - {column: J, row: 2460, expected_value: Value, label: measure} + - {column: L, row: 2461, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2462 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2462, expected_value: S92000003, label: geography} + - {column: D, row: 2462, expected_value: Males, label: sex} + - {column: E, row: 2462, expected_value: Self-employed, label: employment type} + - {column: J, row: 2462, expected_value: Value, label: measure} + - {column: L, row: 2463, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2464 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2464, expected_value: S92000003, label: geography} + - {column: D, row: 2464, expected_value: Males, label: sex} + - {column: E, row: 2464, expected_value: Self-employed, label: employment type} + - {column: J, row: 2464, expected_value: Value, label: measure} + - {column: L, row: 2465, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2466 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2466, expected_value: S92000003, label: geography} + - {column: D, row: 2466, expected_value: Males, label: sex} + - {column: E, row: 2466, expected_value: Self-employed, label: employment type} + - {column: J, row: 2466, expected_value: Value, label: measure} + - {column: L, row: 2467, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2468 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2468, expected_value: S92000003, label: geography} + - {column: D, row: 2468, expected_value: Males, label: sex} + - {column: E, row: 2468, expected_value: Self-employed, label: employment type} + - {column: J, row: 2468, expected_value: Value, label: measure} + - {column: L, row: 2469, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2470 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2470, expected_value: S92000003, label: geography} + - {column: D, row: 2470, expected_value: Males, label: sex} + - {column: E, row: 2470, expected_value: Self-employed, label: employment type} + - {column: J, row: 2470, expected_value: Value, label: measure} + - {column: L, row: 2471, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2472 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2472, expected_value: S92000003, label: geography} + - {column: D, row: 2472, expected_value: Males, label: sex} + - {column: E, row: 2472, expected_value: Self-employed, label: employment type} + - {column: J, row: 2472, expected_value: Value, label: measure} + - {column: L, row: 2473, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2474 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2474, expected_value: S92000003, label: geography} + - {column: D, row: 2474, expected_value: Males, label: sex} + - {column: E, row: 2474, expected_value: Self-employed, label: employment type} + - {column: J, row: 2474, expected_value: Value, label: measure} + - {column: L, row: 2475, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2476 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2476, expected_value: S92000003, label: geography} + - {column: D, row: 2476, expected_value: Males, label: sex} + - {column: E, row: 2476, expected_value: Self-employed, label: employment type} + - {column: J, row: 2476, expected_value: Value, label: measure} + - {column: L, row: 2477, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2478 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2478, expected_value: S92000003, label: geography} + - {column: D, row: 2478, expected_value: Males, label: sex} + - {column: E, row: 2478, expected_value: Self-employed, label: employment type} + - {column: J, row: 2478, expected_value: Value, label: measure} + - {column: L, row: 2479, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2480 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2480, expected_value: S92000003, label: geography} + - {column: D, row: 2480, expected_value: Males, label: sex} + - {column: E, row: 2480, expected_value: Self-employed, label: employment type} + - {column: J, row: 2480, expected_value: Value, label: measure} + - {column: L, row: 2481, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2482 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2482, expected_value: S92000003, label: geography} + - {column: D, row: 2482, expected_value: Males, label: sex} + - {column: E, row: 2482, expected_value: Self-employed, label: employment type} + - {column: J, row: 2482, expected_value: Value, label: measure} + - {column: L, row: 2483, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2486 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2486, expected_value: S92000003, label: geography} + - {column: D, row: 2486, expected_value: Males, label: sex} + - {column: E, row: 2486, expected_value: Self-employed, label: employment type} + - {column: J, row: 2486, expected_value: Value, label: measure} + - {column: L, row: 2487, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2488 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2488, expected_value: S92000003, label: geography} + - {column: D, row: 2488, expected_value: Males, label: sex} + - {column: E, row: 2488, expected_value: Self-employed, label: employment type} + - {column: J, row: 2488, expected_value: Value, label: measure} + - {column: L, row: 2489, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2490 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2490, expected_value: S92000003, label: geography} + - {column: D, row: 2490, expected_value: Males, label: sex} + - {column: E, row: 2490, expected_value: Self-employed, label: employment type} + - {column: J, row: 2490, expected_value: Value, label: measure} + - {column: L, row: 2491, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2492 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2492, expected_value: S92000003, label: geography} + - {column: D, row: 2492, expected_value: Males, label: sex} + - {column: E, row: 2492, expected_value: Self-employed, label: employment type} + - {column: J, row: 2492, expected_value: Value, label: measure} + - {column: L, row: 2493, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2494 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2494, expected_value: S92000003, label: geography} + - {column: D, row: 2494, expected_value: Males, label: sex} + - {column: E, row: 2494, expected_value: Self-employed, label: employment type} + - {column: J, row: 2494, expected_value: Value, label: measure} + - {column: L, row: 2495, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2496 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2496, expected_value: S92000003, label: geography} + - {column: D, row: 2496, expected_value: Males, label: sex} + - {column: E, row: 2496, expected_value: Self-employed, label: employment type} + - {column: J, row: 2496, expected_value: Value, label: measure} + - {column: L, row: 2497, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2498 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2498, expected_value: S92000003, label: geography} + - {column: D, row: 2498, expected_value: Males, label: sex} + - {column: E, row: 2498, expected_value: Self-employed, label: employment type} + - {column: J, row: 2498, expected_value: Value, label: measure} + - {column: L, row: 2499, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2500 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2500, expected_value: S92000003, label: geography} + - {column: D, row: 2500, expected_value: Males, label: sex} + - {column: E, row: 2500, expected_value: Self-employed, label: employment type} + - {column: J, row: 2500, expected_value: Value, label: measure} + - {column: L, row: 2501, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2504 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2504, expected_value: S92000003, label: geography} + - {column: D, row: 2504, expected_value: Males, label: sex} + - {column: E, row: 2504, expected_value: Self-employed, label: employment type} + - {column: J, row: 2504, expected_value: Value, label: measure} + - {column: L, row: 2505, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2506 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2506, expected_value: S92000003, label: geography} + - {column: D, row: 2506, expected_value: Males, label: sex} + - {column: E, row: 2506, expected_value: Self-employed, label: employment type} + - {column: J, row: 2506, expected_value: Value, label: measure} + - {column: L, row: 2507, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2510 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2510, expected_value: S92000003, label: geography} + - {column: D, row: 2510, expected_value: Males, label: sex} + - {column: E, row: 2510, expected_value: Self-employed, label: employment type} + - {column: J, row: 2510, expected_value: Value, label: measure} + - {column: L, row: 2511, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2512 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2512, expected_value: S92000003, label: geography} + - {column: D, row: 2512, expected_value: Males, label: sex} + - {column: E, row: 2512, expected_value: Self-employed, label: employment type} + - {column: J, row: 2512, expected_value: Value, label: measure} + - {column: L, row: 2513, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2514 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2514, expected_value: S92000003, label: geography} + - {column: D, row: 2514, expected_value: Males, label: sex} + - {column: E, row: 2514, expected_value: Self-employed, label: employment type} + - {column: J, row: 2514, expected_value: Value, label: measure} + - {column: L, row: 2515, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2516 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2516, expected_value: S92000003, label: geography} + - {column: D, row: 2516, expected_value: Males, label: sex} + - {column: E, row: 2516, expected_value: Self-employed, label: employment type} + - {column: J, row: 2516, expected_value: Value, label: measure} + - {column: L, row: 2517, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2518 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2518, expected_value: S92000003, label: geography} + - {column: D, row: 2518, expected_value: Males, label: sex} + - {column: E, row: 2518, expected_value: Self-employed, label: employment type} + - {column: J, row: 2518, expected_value: Value, label: measure} + - {column: L, row: 2519, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2520 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2520, expected_value: S92000003, label: geography} + - {column: D, row: 2520, expected_value: Males, label: sex} + - {column: E, row: 2520, expected_value: Self-employed, label: employment type} + - {column: J, row: 2520, expected_value: Value, label: measure} + - {column: L, row: 2521, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2451 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2451, expected_value: S92000003, label: geography} + - {column: D, row: 2451, expected_value: Males, label: sex} + - {column: E, row: 2451, expected_value: Self-employed, label: employment type} + - {column: J, row: 2451, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2453 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2453, expected_value: S92000003, label: geography} + - {column: D, row: 2453, expected_value: Males, label: sex} + - {column: E, row: 2453, expected_value: Self-employed, label: employment type} + - {column: J, row: 2453, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2455 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2455, expected_value: S92000003, label: geography} + - {column: D, row: 2455, expected_value: Males, label: sex} + - {column: E, row: 2455, expected_value: Self-employed, label: employment type} + - {column: J, row: 2455, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2457 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2457, expected_value: S92000003, label: geography} + - {column: D, row: 2457, expected_value: Males, label: sex} + - {column: E, row: 2457, expected_value: Self-employed, label: employment type} + - {column: J, row: 2457, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2459 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2459, expected_value: S92000003, label: geography} + - {column: D, row: 2459, expected_value: Males, label: sex} + - {column: E, row: 2459, expected_value: Self-employed, label: employment type} + - {column: J, row: 2459, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2461 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2461, expected_value: S92000003, label: geography} + - {column: D, row: 2461, expected_value: Males, label: sex} + - {column: E, row: 2461, expected_value: Self-employed, label: employment type} + - {column: J, row: 2461, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2463 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2463, expected_value: S92000003, label: geography} + - {column: D, row: 2463, expected_value: Males, label: sex} + - {column: E, row: 2463, expected_value: Self-employed, label: employment type} + - {column: J, row: 2463, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2465 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2465, expected_value: S92000003, label: geography} + - {column: D, row: 2465, expected_value: Males, label: sex} + - {column: E, row: 2465, expected_value: Self-employed, label: employment type} + - {column: J, row: 2465, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2467 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2467, expected_value: S92000003, label: geography} + - {column: D, row: 2467, expected_value: Males, label: sex} + - {column: E, row: 2467, expected_value: Self-employed, label: employment type} + - {column: J, row: 2467, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2469 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2469, expected_value: S92000003, label: geography} + - {column: D, row: 2469, expected_value: Males, label: sex} + - {column: E, row: 2469, expected_value: Self-employed, label: employment type} + - {column: J, row: 2469, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2477 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2477, expected_value: S92000003, label: geography} + - {column: D, row: 2477, expected_value: Males, label: sex} + - {column: E, row: 2477, expected_value: Self-employed, label: employment type} + - {column: J, row: 2477, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2479 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2479, expected_value: S92000003, label: geography} + - {column: D, row: 2479, expected_value: Males, label: sex} + - {column: E, row: 2479, expected_value: Self-employed, label: employment type} + - {column: J, row: 2479, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2487 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2487, expected_value: S92000003, label: geography} + - {column: D, row: 2487, expected_value: Males, label: sex} + - {column: E, row: 2487, expected_value: Self-employed, label: employment type} + - {column: J, row: 2487, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2489 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2489, expected_value: S92000003, label: geography} + - {column: D, row: 2489, expected_value: Males, label: sex} + - {column: E, row: 2489, expected_value: Self-employed, label: employment type} + - {column: J, row: 2489, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2491 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2491, expected_value: S92000003, label: geography} + - {column: D, row: 2491, expected_value: Males, label: sex} + - {column: E, row: 2491, expected_value: Self-employed, label: employment type} + - {column: J, row: 2491, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2493 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2493, expected_value: S92000003, label: geography} + - {column: D, row: 2493, expected_value: Males, label: sex} + - {column: E, row: 2493, expected_value: Self-employed, label: employment type} + - {column: J, row: 2493, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2495 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2495, expected_value: S92000003, label: geography} + - {column: D, row: 2495, expected_value: Males, label: sex} + - {column: E, row: 2495, expected_value: Self-employed, label: employment type} + - {column: J, row: 2495, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2497 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2497, expected_value: S92000003, label: geography} + - {column: D, row: 2497, expected_value: Males, label: sex} + - {column: E, row: 2497, expected_value: Self-employed, label: employment type} + - {column: J, row: 2497, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2499 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2499, expected_value: S92000003, label: geography} + - {column: D, row: 2499, expected_value: Males, label: sex} + - {column: E, row: 2499, expected_value: Self-employed, label: employment type} + - {column: J, row: 2499, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2501 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2501, expected_value: S92000003, label: geography} + - {column: D, row: 2501, expected_value: Males, label: sex} + - {column: E, row: 2501, expected_value: Self-employed, label: employment type} + - {column: J, row: 2501, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2505 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2505, expected_value: S92000003, label: geography} + - {column: D, row: 2505, expected_value: Males, label: sex} + - {column: E, row: 2505, expected_value: Self-employed, label: employment type} + - {column: J, row: 2505, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2507 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2507, expected_value: S92000003, label: geography} + - {column: D, row: 2507, expected_value: Males, label: sex} + - {column: E, row: 2507, expected_value: Self-employed, label: employment type} + - {column: J, row: 2507, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2511 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2511, expected_value: S92000003, label: geography} + - {column: D, row: 2511, expected_value: Males, label: sex} + - {column: E, row: 2511, expected_value: Self-employed, label: employment type} + - {column: J, row: 2511, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2513 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2513, expected_value: S92000003, label: geography} + - {column: D, row: 2513, expected_value: Males, label: sex} + - {column: E, row: 2513, expected_value: Self-employed, label: employment type} + - {column: J, row: 2513, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2515 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2515, expected_value: S92000003, label: geography} + - {column: D, row: 2515, expected_value: Males, label: sex} + - {column: E, row: 2515, expected_value: Self-employed, label: employment type} + - {column: J, row: 2515, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2517 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2517, expected_value: S92000003, label: geography} + - {column: D, row: 2517, expected_value: Males, label: sex} + - {column: E, row: 2517, expected_value: Self-employed, label: employment type} + - {column: J, row: 2517, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2519 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2519, expected_value: S92000003, label: geography} + - {column: D, row: 2519, expected_value: Males, label: sex} + - {column: E, row: 2519, expected_value: Self-employed, label: employment type} + - {column: J, row: 2519, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2521 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2521, expected_value: S92000003, label: geography} + - {column: D, row: 2521, expected_value: Males, label: sex} + - {column: E, row: 2521, expected_value: Self-employed, label: employment type} + - {column: J, row: 2521, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2090 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2090, expected_value: S92000003, label: geography} + - {column: D, row: 2090, expected_value: Females, label: sex} + - {column: E, row: 2090, expected_value: Total, label: employment type} + - {column: J, row: 2090, expected_value: Value, label: measure} + - {column: L, row: 2091, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2092 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2092, expected_value: S92000003, label: geography} + - {column: D, row: 2092, expected_value: Females, label: sex} + - {column: E, row: 2092, expected_value: Total, label: employment type} + - {column: J, row: 2092, expected_value: Value, label: measure} + - {column: L, row: 2093, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2094 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2094, expected_value: S92000003, label: geography} + - {column: D, row: 2094, expected_value: Females, label: sex} + - {column: E, row: 2094, expected_value: Total, label: employment type} + - {column: J, row: 2094, expected_value: Value, label: measure} + - {column: L, row: 2095, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2096 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2096, expected_value: S92000003, label: geography} + - {column: D, row: 2096, expected_value: Females, label: sex} + - {column: E, row: 2096, expected_value: Total, label: employment type} + - {column: J, row: 2096, expected_value: Value, label: measure} + - {column: L, row: 2097, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2098 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2098, expected_value: S92000003, label: geography} + - {column: D, row: 2098, expected_value: Females, label: sex} + - {column: E, row: 2098, expected_value: Total, label: employment type} + - {column: J, row: 2098, expected_value: Value, label: measure} + - {column: L, row: 2099, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2100 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2100, expected_value: S92000003, label: geography} + - {column: D, row: 2100, expected_value: Females, label: sex} + - {column: E, row: 2100, expected_value: Total, label: employment type} + - {column: J, row: 2100, expected_value: Value, label: measure} + - {column: L, row: 2101, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2102 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2102, expected_value: S92000003, label: geography} + - {column: D, row: 2102, expected_value: Females, label: sex} + - {column: E, row: 2102, expected_value: Total, label: employment type} + - {column: J, row: 2102, expected_value: Value, label: measure} + - {column: L, row: 2103, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2104 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2104, expected_value: S92000003, label: geography} + - {column: D, row: 2104, expected_value: Females, label: sex} + - {column: E, row: 2104, expected_value: Total, label: employment type} + - {column: J, row: 2104, expected_value: Value, label: measure} + - {column: L, row: 2105, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2106 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2106, expected_value: S92000003, label: geography} + - {column: D, row: 2106, expected_value: Females, label: sex} + - {column: E, row: 2106, expected_value: Total, label: employment type} + - {column: J, row: 2106, expected_value: Value, label: measure} + - {column: L, row: 2107, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2108 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2108, expected_value: S92000003, label: geography} + - {column: D, row: 2108, expected_value: Females, label: sex} + - {column: E, row: 2108, expected_value: Total, label: employment type} + - {column: J, row: 2108, expected_value: Value, label: measure} + - {column: L, row: 2109, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2110 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2110, expected_value: S92000003, label: geography} + - {column: D, row: 2110, expected_value: Females, label: sex} + - {column: E, row: 2110, expected_value: Total, label: employment type} + - {column: J, row: 2110, expected_value: Value, label: measure} + - {column: L, row: 2111, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2112 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2112, expected_value: S92000003, label: geography} + - {column: D, row: 2112, expected_value: Females, label: sex} + - {column: E, row: 2112, expected_value: Total, label: employment type} + - {column: J, row: 2112, expected_value: Value, label: measure} + - {column: L, row: 2113, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2114 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2114, expected_value: S92000003, label: geography} + - {column: D, row: 2114, expected_value: Females, label: sex} + - {column: E, row: 2114, expected_value: Total, label: employment type} + - {column: J, row: 2114, expected_value: Value, label: measure} + - {column: L, row: 2115, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2116 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2116, expected_value: S92000003, label: geography} + - {column: D, row: 2116, expected_value: Females, label: sex} + - {column: E, row: 2116, expected_value: Total, label: employment type} + - {column: J, row: 2116, expected_value: Value, label: measure} + - {column: L, row: 2117, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2118 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2118, expected_value: S92000003, label: geography} + - {column: D, row: 2118, expected_value: Females, label: sex} + - {column: E, row: 2118, expected_value: Total, label: employment type} + - {column: J, row: 2118, expected_value: Value, label: measure} + - {column: L, row: 2119, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2120 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2120, expected_value: S92000003, label: geography} + - {column: D, row: 2120, expected_value: Females, label: sex} + - {column: E, row: 2120, expected_value: Total, label: employment type} + - {column: J, row: 2120, expected_value: Value, label: measure} + - {column: L, row: 2121, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2122 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2122, expected_value: S92000003, label: geography} + - {column: D, row: 2122, expected_value: Females, label: sex} + - {column: E, row: 2122, expected_value: Total, label: employment type} + - {column: J, row: 2122, expected_value: Value, label: measure} + - {column: L, row: 2123, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2124 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2124, expected_value: S92000003, label: geography} + - {column: D, row: 2124, expected_value: Females, label: sex} + - {column: E, row: 2124, expected_value: Total, label: employment type} + - {column: J, row: 2124, expected_value: Value, label: measure} + - {column: L, row: 2125, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2126 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2126, expected_value: S92000003, label: geography} + - {column: D, row: 2126, expected_value: Females, label: sex} + - {column: E, row: 2126, expected_value: Total, label: employment type} + - {column: J, row: 2126, expected_value: Value, label: measure} + - {column: L, row: 2127, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2128 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2128, expected_value: S92000003, label: geography} + - {column: D, row: 2128, expected_value: Females, label: sex} + - {column: E, row: 2128, expected_value: Total, label: employment type} + - {column: J, row: 2128, expected_value: Value, label: measure} + - {column: L, row: 2129, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2130 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2130, expected_value: S92000003, label: geography} + - {column: D, row: 2130, expected_value: Females, label: sex} + - {column: E, row: 2130, expected_value: Total, label: employment type} + - {column: J, row: 2130, expected_value: Value, label: measure} + - {column: L, row: 2131, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2132 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2132, expected_value: S92000003, label: geography} + - {column: D, row: 2132, expected_value: Females, label: sex} + - {column: E, row: 2132, expected_value: Total, label: employment type} + - {column: J, row: 2132, expected_value: Value, label: measure} + - {column: L, row: 2133, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2134 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2134, expected_value: S92000003, label: geography} + - {column: D, row: 2134, expected_value: Females, label: sex} + - {column: E, row: 2134, expected_value: Total, label: employment type} + - {column: J, row: 2134, expected_value: Value, label: measure} + - {column: L, row: 2135, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2136 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2136, expected_value: S92000003, label: geography} + - {column: D, row: 2136, expected_value: Females, label: sex} + - {column: E, row: 2136, expected_value: Total, label: employment type} + - {column: J, row: 2136, expected_value: Value, label: measure} + - {column: L, row: 2137, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2138 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2138, expected_value: S92000003, label: geography} + - {column: D, row: 2138, expected_value: Females, label: sex} + - {column: E, row: 2138, expected_value: Total, label: employment type} + - {column: J, row: 2138, expected_value: Value, label: measure} + - {column: L, row: 2139, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2140 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2140, expected_value: S92000003, label: geography} + - {column: D, row: 2140, expected_value: Females, label: sex} + - {column: E, row: 2140, expected_value: Total, label: employment type} + - {column: J, row: 2140, expected_value: Value, label: measure} + - {column: L, row: 2141, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2144 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2144, expected_value: S92000003, label: geography} + - {column: D, row: 2144, expected_value: Females, label: sex} + - {column: E, row: 2144, expected_value: Total, label: employment type} + - {column: J, row: 2144, expected_value: Value, label: measure} + - {column: L, row: 2145, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2146 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2146, expected_value: S92000003, label: geography} + - {column: D, row: 2146, expected_value: Females, label: sex} + - {column: E, row: 2146, expected_value: Total, label: employment type} + - {column: J, row: 2146, expected_value: Value, label: measure} + - {column: L, row: 2147, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2148 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2148, expected_value: S92000003, label: geography} + - {column: D, row: 2148, expected_value: Females, label: sex} + - {column: E, row: 2148, expected_value: Total, label: employment type} + - {column: J, row: 2148, expected_value: Value, label: measure} + - {column: L, row: 2149, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2150 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2150, expected_value: S92000003, label: geography} + - {column: D, row: 2150, expected_value: Females, label: sex} + - {column: E, row: 2150, expected_value: Total, label: employment type} + - {column: J, row: 2150, expected_value: Value, label: measure} + - {column: L, row: 2151, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2152 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2152, expected_value: S92000003, label: geography} + - {column: D, row: 2152, expected_value: Females, label: sex} + - {column: E, row: 2152, expected_value: Total, label: employment type} + - {column: J, row: 2152, expected_value: Value, label: measure} + - {column: L, row: 2153, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2154 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2154, expected_value: S92000003, label: geography} + - {column: D, row: 2154, expected_value: Females, label: sex} + - {column: E, row: 2154, expected_value: Total, label: employment type} + - {column: J, row: 2154, expected_value: Value, label: measure} + - {column: L, row: 2155, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2156 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2156, expected_value: S92000003, label: geography} + - {column: D, row: 2156, expected_value: Females, label: sex} + - {column: E, row: 2156, expected_value: Total, label: employment type} + - {column: J, row: 2156, expected_value: Value, label: measure} + - {column: L, row: 2157, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2158 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2158, expected_value: S92000003, label: geography} + - {column: D, row: 2158, expected_value: Females, label: sex} + - {column: E, row: 2158, expected_value: Total, label: employment type} + - {column: J, row: 2158, expected_value: Value, label: measure} + - {column: L, row: 2159, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2160 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2160, expected_value: S92000003, label: geography} + - {column: D, row: 2160, expected_value: Females, label: sex} + - {column: E, row: 2160, expected_value: Total, label: employment type} + - {column: J, row: 2160, expected_value: Value, label: measure} + - {column: L, row: 2161, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2091 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2091, expected_value: S92000003, label: geography} + - {column: D, row: 2091, expected_value: Females, label: sex} + - {column: E, row: 2091, expected_value: Total, label: employment type} + - {column: J, row: 2091, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2093 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2093, expected_value: S92000003, label: geography} + - {column: D, row: 2093, expected_value: Females, label: sex} + - {column: E, row: 2093, expected_value: Total, label: employment type} + - {column: J, row: 2093, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2095 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2095, expected_value: S92000003, label: geography} + - {column: D, row: 2095, expected_value: Females, label: sex} + - {column: E, row: 2095, expected_value: Total, label: employment type} + - {column: J, row: 2095, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2097 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2097, expected_value: S92000003, label: geography} + - {column: D, row: 2097, expected_value: Females, label: sex} + - {column: E, row: 2097, expected_value: Total, label: employment type} + - {column: J, row: 2097, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2099 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2099, expected_value: S92000003, label: geography} + - {column: D, row: 2099, expected_value: Females, label: sex} + - {column: E, row: 2099, expected_value: Total, label: employment type} + - {column: J, row: 2099, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2101 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2101, expected_value: S92000003, label: geography} + - {column: D, row: 2101, expected_value: Females, label: sex} + - {column: E, row: 2101, expected_value: Total, label: employment type} + - {column: J, row: 2101, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2103 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2103, expected_value: S92000003, label: geography} + - {column: D, row: 2103, expected_value: Females, label: sex} + - {column: E, row: 2103, expected_value: Total, label: employment type} + - {column: J, row: 2103, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2105 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2105, expected_value: S92000003, label: geography} + - {column: D, row: 2105, expected_value: Females, label: sex} + - {column: E, row: 2105, expected_value: Total, label: employment type} + - {column: J, row: 2105, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2107 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2107, expected_value: S92000003, label: geography} + - {column: D, row: 2107, expected_value: Females, label: sex} + - {column: E, row: 2107, expected_value: Total, label: employment type} + - {column: J, row: 2107, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2109 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2109, expected_value: S92000003, label: geography} + - {column: D, row: 2109, expected_value: Females, label: sex} + - {column: E, row: 2109, expected_value: Total, label: employment type} + - {column: J, row: 2109, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2111 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2111, expected_value: S92000003, label: geography} + - {column: D, row: 2111, expected_value: Females, label: sex} + - {column: E, row: 2111, expected_value: Total, label: employment type} + - {column: J, row: 2111, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2113 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2113, expected_value: S92000003, label: geography} + - {column: D, row: 2113, expected_value: Females, label: sex} + - {column: E, row: 2113, expected_value: Total, label: employment type} + - {column: J, row: 2113, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2115 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2115, expected_value: S92000003, label: geography} + - {column: D, row: 2115, expected_value: Females, label: sex} + - {column: E, row: 2115, expected_value: Total, label: employment type} + - {column: J, row: 2115, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2117 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2117, expected_value: S92000003, label: geography} + - {column: D, row: 2117, expected_value: Females, label: sex} + - {column: E, row: 2117, expected_value: Total, label: employment type} + - {column: J, row: 2117, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2119 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2119, expected_value: S92000003, label: geography} + - {column: D, row: 2119, expected_value: Females, label: sex} + - {column: E, row: 2119, expected_value: Total, label: employment type} + - {column: J, row: 2119, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2121 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2121, expected_value: S92000003, label: geography} + - {column: D, row: 2121, expected_value: Females, label: sex} + - {column: E, row: 2121, expected_value: Total, label: employment type} + - {column: J, row: 2121, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2123 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2123, expected_value: S92000003, label: geography} + - {column: D, row: 2123, expected_value: Females, label: sex} + - {column: E, row: 2123, expected_value: Total, label: employment type} + - {column: J, row: 2123, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2125 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2125, expected_value: S92000003, label: geography} + - {column: D, row: 2125, expected_value: Females, label: sex} + - {column: E, row: 2125, expected_value: Total, label: employment type} + - {column: J, row: 2125, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2127 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2127, expected_value: S92000003, label: geography} + - {column: D, row: 2127, expected_value: Females, label: sex} + - {column: E, row: 2127, expected_value: Total, label: employment type} + - {column: J, row: 2127, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2129 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2129, expected_value: S92000003, label: geography} + - {column: D, row: 2129, expected_value: Females, label: sex} + - {column: E, row: 2129, expected_value: Total, label: employment type} + - {column: J, row: 2129, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2131 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2131, expected_value: S92000003, label: geography} + - {column: D, row: 2131, expected_value: Females, label: sex} + - {column: E, row: 2131, expected_value: Total, label: employment type} + - {column: J, row: 2131, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2135 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2135, expected_value: S92000003, label: geography} + - {column: D, row: 2135, expected_value: Females, label: sex} + - {column: E, row: 2135, expected_value: Total, label: employment type} + - {column: J, row: 2135, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2137 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2137, expected_value: S92000003, label: geography} + - {column: D, row: 2137, expected_value: Females, label: sex} + - {column: E, row: 2137, expected_value: Total, label: employment type} + - {column: J, row: 2137, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2139 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2139, expected_value: S92000003, label: geography} + - {column: D, row: 2139, expected_value: Females, label: sex} + - {column: E, row: 2139, expected_value: Total, label: employment type} + - {column: J, row: 2139, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2141 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2141, expected_value: S92000003, label: geography} + - {column: D, row: 2141, expected_value: Females, label: sex} + - {column: E, row: 2141, expected_value: Total, label: employment type} + - {column: J, row: 2141, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2145 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2145, expected_value: S92000003, label: geography} + - {column: D, row: 2145, expected_value: Females, label: sex} + - {column: E, row: 2145, expected_value: Total, label: employment type} + - {column: J, row: 2145, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2147 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2147, expected_value: S92000003, label: geography} + - {column: D, row: 2147, expected_value: Females, label: sex} + - {column: E, row: 2147, expected_value: Total, label: employment type} + - {column: J, row: 2147, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2149 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2149, expected_value: S92000003, label: geography} + - {column: D, row: 2149, expected_value: Females, label: sex} + - {column: E, row: 2149, expected_value: Total, label: employment type} + - {column: J, row: 2149, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2151 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2151, expected_value: S92000003, label: geography} + - {column: D, row: 2151, expected_value: Females, label: sex} + - {column: E, row: 2151, expected_value: Total, label: employment type} + - {column: J, row: 2151, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2153 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2153, expected_value: S92000003, label: geography} + - {column: D, row: 2153, expected_value: Females, label: sex} + - {column: E, row: 2153, expected_value: Total, label: employment type} + - {column: J, row: 2153, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2155 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2155, expected_value: S92000003, label: geography} + - {column: D, row: 2155, expected_value: Females, label: sex} + - {column: E, row: 2155, expected_value: Total, label: employment type} + - {column: J, row: 2155, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2157 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2157, expected_value: S92000003, label: geography} + - {column: D, row: 2157, expected_value: Females, label: sex} + - {column: E, row: 2157, expected_value: Total, label: employment type} + - {column: J, row: 2157, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2159 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2159, expected_value: S92000003, label: geography} + - {column: D, row: 2159, expected_value: Females, label: sex} + - {column: E, row: 2159, expected_value: Total, label: employment type} + - {column: J, row: 2159, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2161 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2161, expected_value: S92000003, label: geography} + - {column: D, row: 2161, expected_value: Females, label: sex} + - {column: E, row: 2161, expected_value: Total, label: employment type} + - {column: J, row: 2161, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2306 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2306, expected_value: S92000003, label: geography} + - {column: D, row: 2306, expected_value: Females, label: sex} + - {column: E, row: 2306, expected_value: Employee, label: employment type} + - {column: J, row: 2306, expected_value: Value, label: measure} + - {column: L, row: 2307, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2308 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2308, expected_value: S92000003, label: geography} + - {column: D, row: 2308, expected_value: Females, label: sex} + - {column: E, row: 2308, expected_value: Employee, label: employment type} + - {column: J, row: 2308, expected_value: Value, label: measure} + - {column: L, row: 2309, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2310 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2310, expected_value: S92000003, label: geography} + - {column: D, row: 2310, expected_value: Females, label: sex} + - {column: E, row: 2310, expected_value: Employee, label: employment type} + - {column: J, row: 2310, expected_value: Value, label: measure} + - {column: L, row: 2311, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2312 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2312, expected_value: S92000003, label: geography} + - {column: D, row: 2312, expected_value: Females, label: sex} + - {column: E, row: 2312, expected_value: Employee, label: employment type} + - {column: J, row: 2312, expected_value: Value, label: measure} + - {column: L, row: 2313, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2314 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2314, expected_value: S92000003, label: geography} + - {column: D, row: 2314, expected_value: Females, label: sex} + - {column: E, row: 2314, expected_value: Employee, label: employment type} + - {column: J, row: 2314, expected_value: Value, label: measure} + - {column: L, row: 2315, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2316 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2316, expected_value: S92000003, label: geography} + - {column: D, row: 2316, expected_value: Females, label: sex} + - {column: E, row: 2316, expected_value: Employee, label: employment type} + - {column: J, row: 2316, expected_value: Value, label: measure} + - {column: L, row: 2317, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2318 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2318, expected_value: S92000003, label: geography} + - {column: D, row: 2318, expected_value: Females, label: sex} + - {column: E, row: 2318, expected_value: Employee, label: employment type} + - {column: J, row: 2318, expected_value: Value, label: measure} + - {column: L, row: 2319, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2320 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2320, expected_value: S92000003, label: geography} + - {column: D, row: 2320, expected_value: Females, label: sex} + - {column: E, row: 2320, expected_value: Employee, label: employment type} + - {column: J, row: 2320, expected_value: Value, label: measure} + - {column: L, row: 2321, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2322 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2322, expected_value: S92000003, label: geography} + - {column: D, row: 2322, expected_value: Females, label: sex} + - {column: E, row: 2322, expected_value: Employee, label: employment type} + - {column: J, row: 2322, expected_value: Value, label: measure} + - {column: L, row: 2323, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2324 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2324, expected_value: S92000003, label: geography} + - {column: D, row: 2324, expected_value: Females, label: sex} + - {column: E, row: 2324, expected_value: Employee, label: employment type} + - {column: J, row: 2324, expected_value: Value, label: measure} + - {column: L, row: 2325, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2326 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2326, expected_value: S92000003, label: geography} + - {column: D, row: 2326, expected_value: Females, label: sex} + - {column: E, row: 2326, expected_value: Employee, label: employment type} + - {column: J, row: 2326, expected_value: Value, label: measure} + - {column: L, row: 2327, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2328 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2328, expected_value: S92000003, label: geography} + - {column: D, row: 2328, expected_value: Females, label: sex} + - {column: E, row: 2328, expected_value: Employee, label: employment type} + - {column: J, row: 2328, expected_value: Value, label: measure} + - {column: L, row: 2329, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2330 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2330, expected_value: S92000003, label: geography} + - {column: D, row: 2330, expected_value: Females, label: sex} + - {column: E, row: 2330, expected_value: Employee, label: employment type} + - {column: J, row: 2330, expected_value: Value, label: measure} + - {column: L, row: 2331, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2332 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2332, expected_value: S92000003, label: geography} + - {column: D, row: 2332, expected_value: Females, label: sex} + - {column: E, row: 2332, expected_value: Employee, label: employment type} + - {column: J, row: 2332, expected_value: Value, label: measure} + - {column: L, row: 2333, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2334 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2334, expected_value: S92000003, label: geography} + - {column: D, row: 2334, expected_value: Females, label: sex} + - {column: E, row: 2334, expected_value: Employee, label: employment type} + - {column: J, row: 2334, expected_value: Value, label: measure} + - {column: L, row: 2335, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2336 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2336, expected_value: S92000003, label: geography} + - {column: D, row: 2336, expected_value: Females, label: sex} + - {column: E, row: 2336, expected_value: Employee, label: employment type} + - {column: J, row: 2336, expected_value: Value, label: measure} + - {column: L, row: 2337, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2338 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2338, expected_value: S92000003, label: geography} + - {column: D, row: 2338, expected_value: Females, label: sex} + - {column: E, row: 2338, expected_value: Employee, label: employment type} + - {column: J, row: 2338, expected_value: Value, label: measure} + - {column: L, row: 2339, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2340 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2340, expected_value: S92000003, label: geography} + - {column: D, row: 2340, expected_value: Females, label: sex} + - {column: E, row: 2340, expected_value: Employee, label: employment type} + - {column: J, row: 2340, expected_value: Value, label: measure} + - {column: L, row: 2341, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2342 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2342, expected_value: S92000003, label: geography} + - {column: D, row: 2342, expected_value: Females, label: sex} + - {column: E, row: 2342, expected_value: Employee, label: employment type} + - {column: J, row: 2342, expected_value: Value, label: measure} + - {column: L, row: 2343, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2344 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2344, expected_value: S92000003, label: geography} + - {column: D, row: 2344, expected_value: Females, label: sex} + - {column: E, row: 2344, expected_value: Employee, label: employment type} + - {column: J, row: 2344, expected_value: Value, label: measure} + - {column: L, row: 2345, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2346 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2346, expected_value: S92000003, label: geography} + - {column: D, row: 2346, expected_value: Females, label: sex} + - {column: E, row: 2346, expected_value: Employee, label: employment type} + - {column: J, row: 2346, expected_value: Value, label: measure} + - {column: L, row: 2347, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2348 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2348, expected_value: S92000003, label: geography} + - {column: D, row: 2348, expected_value: Females, label: sex} + - {column: E, row: 2348, expected_value: Employee, label: employment type} + - {column: J, row: 2348, expected_value: Value, label: measure} + - {column: L, row: 2349, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2350 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2350, expected_value: S92000003, label: geography} + - {column: D, row: 2350, expected_value: Females, label: sex} + - {column: E, row: 2350, expected_value: Employee, label: employment type} + - {column: J, row: 2350, expected_value: Value, label: measure} + - {column: L, row: 2351, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2352 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2352, expected_value: S92000003, label: geography} + - {column: D, row: 2352, expected_value: Females, label: sex} + - {column: E, row: 2352, expected_value: Employee, label: employment type} + - {column: J, row: 2352, expected_value: Value, label: measure} + - {column: L, row: 2353, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2354 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2354, expected_value: S92000003, label: geography} + - {column: D, row: 2354, expected_value: Females, label: sex} + - {column: E, row: 2354, expected_value: Employee, label: employment type} + - {column: J, row: 2354, expected_value: Value, label: measure} + - {column: L, row: 2355, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2356 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2356, expected_value: S92000003, label: geography} + - {column: D, row: 2356, expected_value: Females, label: sex} + - {column: E, row: 2356, expected_value: Employee, label: employment type} + - {column: J, row: 2356, expected_value: Value, label: measure} + - {column: L, row: 2357, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2360 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2360, expected_value: S92000003, label: geography} + - {column: D, row: 2360, expected_value: Females, label: sex} + - {column: E, row: 2360, expected_value: Employee, label: employment type} + - {column: J, row: 2360, expected_value: Value, label: measure} + - {column: L, row: 2361, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2362 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2362, expected_value: S92000003, label: geography} + - {column: D, row: 2362, expected_value: Females, label: sex} + - {column: E, row: 2362, expected_value: Employee, label: employment type} + - {column: J, row: 2362, expected_value: Value, label: measure} + - {column: L, row: 2363, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2364 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2364, expected_value: S92000003, label: geography} + - {column: D, row: 2364, expected_value: Females, label: sex} + - {column: E, row: 2364, expected_value: Employee, label: employment type} + - {column: J, row: 2364, expected_value: Value, label: measure} + - {column: L, row: 2365, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2366 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2366, expected_value: S92000003, label: geography} + - {column: D, row: 2366, expected_value: Females, label: sex} + - {column: E, row: 2366, expected_value: Employee, label: employment type} + - {column: J, row: 2366, expected_value: Value, label: measure} + - {column: L, row: 2367, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2368 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2368, expected_value: S92000003, label: geography} + - {column: D, row: 2368, expected_value: Females, label: sex} + - {column: E, row: 2368, expected_value: Employee, label: employment type} + - {column: J, row: 2368, expected_value: Value, label: measure} + - {column: L, row: 2369, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2370 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2370, expected_value: S92000003, label: geography} + - {column: D, row: 2370, expected_value: Females, label: sex} + - {column: E, row: 2370, expected_value: Employee, label: employment type} + - {column: J, row: 2370, expected_value: Value, label: measure} + - {column: L, row: 2371, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2372 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2372, expected_value: S92000003, label: geography} + - {column: D, row: 2372, expected_value: Females, label: sex} + - {column: E, row: 2372, expected_value: Employee, label: employment type} + - {column: J, row: 2372, expected_value: Value, label: measure} + - {column: L, row: 2373, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2374 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2374, expected_value: S92000003, label: geography} + - {column: D, row: 2374, expected_value: Females, label: sex} + - {column: E, row: 2374, expected_value: Employee, label: employment type} + - {column: J, row: 2374, expected_value: Value, label: measure} + - {column: L, row: 2375, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2376 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2376, expected_value: S92000003, label: geography} + - {column: D, row: 2376, expected_value: Females, label: sex} + - {column: E, row: 2376, expected_value: Employee, label: employment type} + - {column: J, row: 2376, expected_value: Value, label: measure} + - {column: L, row: 2377, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2307 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2307, expected_value: S92000003, label: geography} + - {column: D, row: 2307, expected_value: Females, label: sex} + - {column: E, row: 2307, expected_value: Employee, label: employment type} + - {column: J, row: 2307, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2309 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2309, expected_value: S92000003, label: geography} + - {column: D, row: 2309, expected_value: Females, label: sex} + - {column: E, row: 2309, expected_value: Employee, label: employment type} + - {column: J, row: 2309, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2311 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2311, expected_value: S92000003, label: geography} + - {column: D, row: 2311, expected_value: Females, label: sex} + - {column: E, row: 2311, expected_value: Employee, label: employment type} + - {column: J, row: 2311, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2313 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2313, expected_value: S92000003, label: geography} + - {column: D, row: 2313, expected_value: Females, label: sex} + - {column: E, row: 2313, expected_value: Employee, label: employment type} + - {column: J, row: 2313, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2315 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2315, expected_value: S92000003, label: geography} + - {column: D, row: 2315, expected_value: Females, label: sex} + - {column: E, row: 2315, expected_value: Employee, label: employment type} + - {column: J, row: 2315, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2317 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2317, expected_value: S92000003, label: geography} + - {column: D, row: 2317, expected_value: Females, label: sex} + - {column: E, row: 2317, expected_value: Employee, label: employment type} + - {column: J, row: 2317, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2319 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2319, expected_value: S92000003, label: geography} + - {column: D, row: 2319, expected_value: Females, label: sex} + - {column: E, row: 2319, expected_value: Employee, label: employment type} + - {column: J, row: 2319, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2321 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2321, expected_value: S92000003, label: geography} + - {column: D, row: 2321, expected_value: Females, label: sex} + - {column: E, row: 2321, expected_value: Employee, label: employment type} + - {column: J, row: 2321, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2323 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2323, expected_value: S92000003, label: geography} + - {column: D, row: 2323, expected_value: Females, label: sex} + - {column: E, row: 2323, expected_value: Employee, label: employment type} + - {column: J, row: 2323, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2325 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2325, expected_value: S92000003, label: geography} + - {column: D, row: 2325, expected_value: Females, label: sex} + - {column: E, row: 2325, expected_value: Employee, label: employment type} + - {column: J, row: 2325, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2327 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2327, expected_value: S92000003, label: geography} + - {column: D, row: 2327, expected_value: Females, label: sex} + - {column: E, row: 2327, expected_value: Employee, label: employment type} + - {column: J, row: 2327, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2329 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2329, expected_value: S92000003, label: geography} + - {column: D, row: 2329, expected_value: Females, label: sex} + - {column: E, row: 2329, expected_value: Employee, label: employment type} + - {column: J, row: 2329, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2331 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2331, expected_value: S92000003, label: geography} + - {column: D, row: 2331, expected_value: Females, label: sex} + - {column: E, row: 2331, expected_value: Employee, label: employment type} + - {column: J, row: 2331, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2333 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2333, expected_value: S92000003, label: geography} + - {column: D, row: 2333, expected_value: Females, label: sex} + - {column: E, row: 2333, expected_value: Employee, label: employment type} + - {column: J, row: 2333, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2335 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2335, expected_value: S92000003, label: geography} + - {column: D, row: 2335, expected_value: Females, label: sex} + - {column: E, row: 2335, expected_value: Employee, label: employment type} + - {column: J, row: 2335, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2337 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2337, expected_value: S92000003, label: geography} + - {column: D, row: 2337, expected_value: Females, label: sex} + - {column: E, row: 2337, expected_value: Employee, label: employment type} + - {column: J, row: 2337, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2339 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2339, expected_value: S92000003, label: geography} + - {column: D, row: 2339, expected_value: Females, label: sex} + - {column: E, row: 2339, expected_value: Employee, label: employment type} + - {column: J, row: 2339, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2341 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2341, expected_value: S92000003, label: geography} + - {column: D, row: 2341, expected_value: Females, label: sex} + - {column: E, row: 2341, expected_value: Employee, label: employment type} + - {column: J, row: 2341, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2343 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2343, expected_value: S92000003, label: geography} + - {column: D, row: 2343, expected_value: Females, label: sex} + - {column: E, row: 2343, expected_value: Employee, label: employment type} + - {column: J, row: 2343, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2347 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2347, expected_value: S92000003, label: geography} + - {column: D, row: 2347, expected_value: Females, label: sex} + - {column: E, row: 2347, expected_value: Employee, label: employment type} + - {column: J, row: 2347, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2351 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2351, expected_value: S92000003, label: geography} + - {column: D, row: 2351, expected_value: Females, label: sex} + - {column: E, row: 2351, expected_value: Employee, label: employment type} + - {column: J, row: 2351, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2353 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2353, expected_value: S92000003, label: geography} + - {column: D, row: 2353, expected_value: Females, label: sex} + - {column: E, row: 2353, expected_value: Employee, label: employment type} + - {column: J, row: 2353, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2355 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2355, expected_value: S92000003, label: geography} + - {column: D, row: 2355, expected_value: Females, label: sex} + - {column: E, row: 2355, expected_value: Employee, label: employment type} + - {column: J, row: 2355, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2357 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2357, expected_value: S92000003, label: geography} + - {column: D, row: 2357, expected_value: Females, label: sex} + - {column: E, row: 2357, expected_value: Employee, label: employment type} + - {column: J, row: 2357, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2361 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2361, expected_value: S92000003, label: geography} + - {column: D, row: 2361, expected_value: Females, label: sex} + - {column: E, row: 2361, expected_value: Employee, label: employment type} + - {column: J, row: 2361, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2363 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2363, expected_value: S92000003, label: geography} + - {column: D, row: 2363, expected_value: Females, label: sex} + - {column: E, row: 2363, expected_value: Employee, label: employment type} + - {column: J, row: 2363, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2365 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2365, expected_value: S92000003, label: geography} + - {column: D, row: 2365, expected_value: Females, label: sex} + - {column: E, row: 2365, expected_value: Employee, label: employment type} + - {column: J, row: 2365, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2367 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2367, expected_value: S92000003, label: geography} + - {column: D, row: 2367, expected_value: Females, label: sex} + - {column: E, row: 2367, expected_value: Employee, label: employment type} + - {column: J, row: 2367, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2369 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2369, expected_value: S92000003, label: geography} + - {column: D, row: 2369, expected_value: Females, label: sex} + - {column: E, row: 2369, expected_value: Employee, label: employment type} + - {column: J, row: 2369, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2371 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2371, expected_value: S92000003, label: geography} + - {column: D, row: 2371, expected_value: Females, label: sex} + - {column: E, row: 2371, expected_value: Employee, label: employment type} + - {column: J, row: 2371, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2373 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2373, expected_value: S92000003, label: geography} + - {column: D, row: 2373, expected_value: Females, label: sex} + - {column: E, row: 2373, expected_value: Employee, label: employment type} + - {column: J, row: 2373, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2375 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2375, expected_value: S92000003, label: geography} + - {column: D, row: 2375, expected_value: Females, label: sex} + - {column: E, row: 2375, expected_value: Employee, label: employment type} + - {column: J, row: 2375, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2377 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2377, expected_value: S92000003, label: geography} + - {column: D, row: 2377, expected_value: Females, label: sex} + - {column: E, row: 2377, expected_value: Employee, label: employment type} + - {column: J, row: 2377, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2522 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2522, expected_value: S92000003, label: geography} + - {column: D, row: 2522, expected_value: Females, label: sex} + - {column: E, row: 2522, expected_value: Self-employed, label: employment type} + - {column: J, row: 2522, expected_value: Value, label: measure} + - {column: L, row: 2523, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2524 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2524, expected_value: S92000003, label: geography} + - {column: D, row: 2524, expected_value: Females, label: sex} + - {column: E, row: 2524, expected_value: Self-employed, label: employment type} + - {column: J, row: 2524, expected_value: Value, label: measure} + - {column: L, row: 2525, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2526 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2526, expected_value: S92000003, label: geography} + - {column: D, row: 2526, expected_value: Females, label: sex} + - {column: E, row: 2526, expected_value: Self-employed, label: employment type} + - {column: J, row: 2526, expected_value: Value, label: measure} + - {column: L, row: 2527, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2528 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2528, expected_value: S92000003, label: geography} + - {column: D, row: 2528, expected_value: Females, label: sex} + - {column: E, row: 2528, expected_value: Self-employed, label: employment type} + - {column: J, row: 2528, expected_value: Value, label: measure} + - {column: L, row: 2529, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2530 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2530, expected_value: S92000003, label: geography} + - {column: D, row: 2530, expected_value: Females, label: sex} + - {column: E, row: 2530, expected_value: Self-employed, label: employment type} + - {column: J, row: 2530, expected_value: Value, label: measure} + - {column: L, row: 2531, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2532 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2532, expected_value: S92000003, label: geography} + - {column: D, row: 2532, expected_value: Females, label: sex} + - {column: E, row: 2532, expected_value: Self-employed, label: employment type} + - {column: J, row: 2532, expected_value: Value, label: measure} + - {column: L, row: 2533, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2534 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2534, expected_value: S92000003, label: geography} + - {column: D, row: 2534, expected_value: Females, label: sex} + - {column: E, row: 2534, expected_value: Self-employed, label: employment type} + - {column: J, row: 2534, expected_value: Value, label: measure} + - {column: L, row: 2535, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2536 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2536, expected_value: S92000003, label: geography} + - {column: D, row: 2536, expected_value: Females, label: sex} + - {column: E, row: 2536, expected_value: Self-employed, label: employment type} + - {column: J, row: 2536, expected_value: Value, label: measure} + - {column: L, row: 2537, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2538 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2538, expected_value: S92000003, label: geography} + - {column: D, row: 2538, expected_value: Females, label: sex} + - {column: E, row: 2538, expected_value: Self-employed, label: employment type} + - {column: J, row: 2538, expected_value: Value, label: measure} + - {column: L, row: 2539, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2540 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2540, expected_value: S92000003, label: geography} + - {column: D, row: 2540, expected_value: Females, label: sex} + - {column: E, row: 2540, expected_value: Self-employed, label: employment type} + - {column: J, row: 2540, expected_value: Value, label: measure} + - {column: L, row: 2541, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2544 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2544, expected_value: S92000003, label: geography} + - {column: D, row: 2544, expected_value: Females, label: sex} + - {column: E, row: 2544, expected_value: Self-employed, label: employment type} + - {column: J, row: 2544, expected_value: Value, label: measure} + - {column: L, row: 2545, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2548 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2548, expected_value: S92000003, label: geography} + - {column: D, row: 2548, expected_value: Females, label: sex} + - {column: E, row: 2548, expected_value: Self-employed, label: employment type} + - {column: J, row: 2548, expected_value: Value, label: measure} + - {column: L, row: 2549, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2550 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2550, expected_value: S92000003, label: geography} + - {column: D, row: 2550, expected_value: Females, label: sex} + - {column: E, row: 2550, expected_value: Self-employed, label: employment type} + - {column: J, row: 2550, expected_value: Value, label: measure} + - {column: L, row: 2551, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2552 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2552, expected_value: S92000003, label: geography} + - {column: D, row: 2552, expected_value: Females, label: sex} + - {column: E, row: 2552, expected_value: Self-employed, label: employment type} + - {column: J, row: 2552, expected_value: Value, label: measure} + - {column: L, row: 2553, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2554 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2554, expected_value: S92000003, label: geography} + - {column: D, row: 2554, expected_value: Females, label: sex} + - {column: E, row: 2554, expected_value: Self-employed, label: employment type} + - {column: J, row: 2554, expected_value: Value, label: measure} + - {column: L, row: 2555, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2558 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2558, expected_value: S92000003, label: geography} + - {column: D, row: 2558, expected_value: Females, label: sex} + - {column: E, row: 2558, expected_value: Self-employed, label: employment type} + - {column: J, row: 2558, expected_value: Value, label: measure} + - {column: L, row: 2559, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2560 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2560, expected_value: S92000003, label: geography} + - {column: D, row: 2560, expected_value: Females, label: sex} + - {column: E, row: 2560, expected_value: Self-employed, label: employment type} + - {column: J, row: 2560, expected_value: Value, label: measure} + - {column: L, row: 2561, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2566 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2566, expected_value: S92000003, label: geography} + - {column: D, row: 2566, expected_value: Females, label: sex} + - {column: E, row: 2566, expected_value: Self-employed, label: employment type} + - {column: J, row: 2566, expected_value: Value, label: measure} + - {column: L, row: 2567, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2568 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2568, expected_value: S92000003, label: geography} + - {column: D, row: 2568, expected_value: Females, label: sex} + - {column: E, row: 2568, expected_value: Self-employed, label: employment type} + - {column: J, row: 2568, expected_value: Value, label: measure} + - {column: L, row: 2569, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2570 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2570, expected_value: S92000003, label: geography} + - {column: D, row: 2570, expected_value: Females, label: sex} + - {column: E, row: 2570, expected_value: Self-employed, label: employment type} + - {column: J, row: 2570, expected_value: Value, label: measure} + - {column: L, row: 2571, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2572 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2572, expected_value: S92000003, label: geography} + - {column: D, row: 2572, expected_value: Females, label: sex} + - {column: E, row: 2572, expected_value: Self-employed, label: employment type} + - {column: J, row: 2572, expected_value: Value, label: measure} + - {column: L, row: 2573, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2576 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2576, expected_value: S92000003, label: geography} + - {column: D, row: 2576, expected_value: Females, label: sex} + - {column: E, row: 2576, expected_value: Self-employed, label: employment type} + - {column: J, row: 2576, expected_value: Value, label: measure} + - {column: L, row: 2577, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2578 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2578, expected_value: S92000003, label: geography} + - {column: D, row: 2578, expected_value: Females, label: sex} + - {column: E, row: 2578, expected_value: Self-employed, label: employment type} + - {column: J, row: 2578, expected_value: Value, label: measure} + - {column: L, row: 2579, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2582 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2582, expected_value: S92000003, label: geography} + - {column: D, row: 2582, expected_value: Females, label: sex} + - {column: E, row: 2582, expected_value: Self-employed, label: employment type} + - {column: J, row: 2582, expected_value: Value, label: measure} + - {column: L, row: 2583, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2584 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2584, expected_value: S92000003, label: geography} + - {column: D, row: 2584, expected_value: Females, label: sex} + - {column: E, row: 2584, expected_value: Self-employed, label: employment type} + - {column: J, row: 2584, expected_value: Value, label: measure} + - {column: L, row: 2585, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2586 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2586, expected_value: S92000003, label: geography} + - {column: D, row: 2586, expected_value: Females, label: sex} + - {column: E, row: 2586, expected_value: Self-employed, label: employment type} + - {column: J, row: 2586, expected_value: Value, label: measure} + - {column: L, row: 2587, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2588 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2588, expected_value: S92000003, label: geography} + - {column: D, row: 2588, expected_value: Females, label: sex} + - {column: E, row: 2588, expected_value: Self-employed, label: employment type} + - {column: J, row: 2588, expected_value: Value, label: measure} + - {column: L, row: 2589, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2590 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2590, expected_value: S92000003, label: geography} + - {column: D, row: 2590, expected_value: Females, label: sex} + - {column: E, row: 2590, expected_value: Self-employed, label: employment type} + - {column: J, row: 2590, expected_value: Value, label: measure} + - {column: L, row: 2591, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2592 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2592, expected_value: S92000003, label: geography} + - {column: D, row: 2592, expected_value: Females, label: sex} + - {column: E, row: 2592, expected_value: Self-employed, label: employment type} + - {column: J, row: 2592, expected_value: Value, label: measure} + - {column: L, row: 2593, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.s92000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.s92000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.s92000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: S92000003 + geography_level: country + geography_name: Scotland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2523 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2523, expected_value: S92000003, label: geography} + - {column: D, row: 2523, expected_value: Females, label: sex} + - {column: E, row: 2523, expected_value: Self-employed, label: employment type} + - {column: J, row: 2523, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2525 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2525, expected_value: S92000003, label: geography} + - {column: D, row: 2525, expected_value: Females, label: sex} + - {column: E, row: 2525, expected_value: Self-employed, label: employment type} + - {column: J, row: 2525, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2527 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2527, expected_value: S92000003, label: geography} + - {column: D, row: 2527, expected_value: Females, label: sex} + - {column: E, row: 2527, expected_value: Self-employed, label: employment type} + - {column: J, row: 2527, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2529 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2529, expected_value: S92000003, label: geography} + - {column: D, row: 2529, expected_value: Females, label: sex} + - {column: E, row: 2529, expected_value: Self-employed, label: employment type} + - {column: J, row: 2529, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2531 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2531, expected_value: S92000003, label: geography} + - {column: D, row: 2531, expected_value: Females, label: sex} + - {column: E, row: 2531, expected_value: Self-employed, label: employment type} + - {column: J, row: 2531, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2533 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2533, expected_value: S92000003, label: geography} + - {column: D, row: 2533, expected_value: Females, label: sex} + - {column: E, row: 2533, expected_value: Self-employed, label: employment type} + - {column: J, row: 2533, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2535 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2535, expected_value: S92000003, label: geography} + - {column: D, row: 2535, expected_value: Females, label: sex} + - {column: E, row: 2535, expected_value: Self-employed, label: employment type} + - {column: J, row: 2535, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2537 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2537, expected_value: S92000003, label: geography} + - {column: D, row: 2537, expected_value: Females, label: sex} + - {column: E, row: 2537, expected_value: Self-employed, label: employment type} + - {column: J, row: 2537, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2539 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2539, expected_value: S92000003, label: geography} + - {column: D, row: 2539, expected_value: Females, label: sex} + - {column: E, row: 2539, expected_value: Self-employed, label: employment type} + - {column: J, row: 2539, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2541 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2541, expected_value: S92000003, label: geography} + - {column: D, row: 2541, expected_value: Females, label: sex} + - {column: E, row: 2541, expected_value: Self-employed, label: employment type} + - {column: J, row: 2541, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2545 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2545, expected_value: S92000003, label: geography} + - {column: D, row: 2545, expected_value: Females, label: sex} + - {column: E, row: 2545, expected_value: Self-employed, label: employment type} + - {column: J, row: 2545, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2549 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2549, expected_value: S92000003, label: geography} + - {column: D, row: 2549, expected_value: Females, label: sex} + - {column: E, row: 2549, expected_value: Self-employed, label: employment type} + - {column: J, row: 2549, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2551 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2551, expected_value: S92000003, label: geography} + - {column: D, row: 2551, expected_value: Females, label: sex} + - {column: E, row: 2551, expected_value: Self-employed, label: employment type} + - {column: J, row: 2551, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2553 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2553, expected_value: S92000003, label: geography} + - {column: D, row: 2553, expected_value: Females, label: sex} + - {column: E, row: 2553, expected_value: Self-employed, label: employment type} + - {column: J, row: 2553, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2555 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2555, expected_value: S92000003, label: geography} + - {column: D, row: 2555, expected_value: Females, label: sex} + - {column: E, row: 2555, expected_value: Self-employed, label: employment type} + - {column: J, row: 2555, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2559 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2559, expected_value: S92000003, label: geography} + - {column: D, row: 2559, expected_value: Females, label: sex} + - {column: E, row: 2559, expected_value: Self-employed, label: employment type} + - {column: J, row: 2559, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2561 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2561, expected_value: S92000003, label: geography} + - {column: D, row: 2561, expected_value: Females, label: sex} + - {column: E, row: 2561, expected_value: Self-employed, label: employment type} + - {column: J, row: 2561, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2567 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2567, expected_value: S92000003, label: geography} + - {column: D, row: 2567, expected_value: Females, label: sex} + - {column: E, row: 2567, expected_value: Self-employed, label: employment type} + - {column: J, row: 2567, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2569 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2569, expected_value: S92000003, label: geography} + - {column: D, row: 2569, expected_value: Females, label: sex} + - {column: E, row: 2569, expected_value: Self-employed, label: employment type} + - {column: J, row: 2569, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2571 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2571, expected_value: S92000003, label: geography} + - {column: D, row: 2571, expected_value: Females, label: sex} + - {column: E, row: 2571, expected_value: Self-employed, label: employment type} + - {column: J, row: 2571, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2573 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2573, expected_value: S92000003, label: geography} + - {column: D, row: 2573, expected_value: Females, label: sex} + - {column: E, row: 2573, expected_value: Self-employed, label: employment type} + - {column: J, row: 2573, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2577 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2577, expected_value: S92000003, label: geography} + - {column: D, row: 2577, expected_value: Females, label: sex} + - {column: E, row: 2577, expected_value: Self-employed, label: employment type} + - {column: J, row: 2577, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2579 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2579, expected_value: S92000003, label: geography} + - {column: D, row: 2579, expected_value: Females, label: sex} + - {column: E, row: 2579, expected_value: Self-employed, label: employment type} + - {column: J, row: 2579, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2583 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2583, expected_value: S92000003, label: geography} + - {column: D, row: 2583, expected_value: Females, label: sex} + - {column: E, row: 2583, expected_value: Self-employed, label: employment type} + - {column: J, row: 2583, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2589 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2589, expected_value: S92000003, label: geography} + - {column: D, row: 2589, expected_value: Females, label: sex} + - {column: E, row: 2589, expected_value: Self-employed, label: employment type} + - {column: J, row: 2589, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2593 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2593, expected_value: S92000003, label: geography} + - {column: D, row: 2593, expected_value: Females, label: sex} + - {column: E, row: 2593, expected_value: Self-employed, label: employment type} + - {column: J, row: 2593, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2594 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2594, expected_value: N92000002, label: geography} + - {column: D, row: 2594, expected_value: All persons, label: sex} + - {column: E, row: 2594, expected_value: Total, label: employment type} + - {column: J, row: 2594, expected_value: Value, label: measure} + - {column: L, row: 2595, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2596 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2596, expected_value: N92000002, label: geography} + - {column: D, row: 2596, expected_value: All persons, label: sex} + - {column: E, row: 2596, expected_value: Total, label: employment type} + - {column: J, row: 2596, expected_value: Value, label: measure} + - {column: L, row: 2597, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2598 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2598, expected_value: N92000002, label: geography} + - {column: D, row: 2598, expected_value: All persons, label: sex} + - {column: E, row: 2598, expected_value: Total, label: employment type} + - {column: J, row: 2598, expected_value: Value, label: measure} + - {column: L, row: 2599, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2600 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2600, expected_value: N92000002, label: geography} + - {column: D, row: 2600, expected_value: All persons, label: sex} + - {column: E, row: 2600, expected_value: Total, label: employment type} + - {column: J, row: 2600, expected_value: Value, label: measure} + - {column: L, row: 2601, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2602 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2602, expected_value: N92000002, label: geography} + - {column: D, row: 2602, expected_value: All persons, label: sex} + - {column: E, row: 2602, expected_value: Total, label: employment type} + - {column: J, row: 2602, expected_value: Value, label: measure} + - {column: L, row: 2603, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2604 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2604, expected_value: N92000002, label: geography} + - {column: D, row: 2604, expected_value: All persons, label: sex} + - {column: E, row: 2604, expected_value: Total, label: employment type} + - {column: J, row: 2604, expected_value: Value, label: measure} + - {column: L, row: 2605, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2606 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2606, expected_value: N92000002, label: geography} + - {column: D, row: 2606, expected_value: All persons, label: sex} + - {column: E, row: 2606, expected_value: Total, label: employment type} + - {column: J, row: 2606, expected_value: Value, label: measure} + - {column: L, row: 2607, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2608 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2608, expected_value: N92000002, label: geography} + - {column: D, row: 2608, expected_value: All persons, label: sex} + - {column: E, row: 2608, expected_value: Total, label: employment type} + - {column: J, row: 2608, expected_value: Value, label: measure} + - {column: L, row: 2609, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2610 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2610, expected_value: N92000002, label: geography} + - {column: D, row: 2610, expected_value: All persons, label: sex} + - {column: E, row: 2610, expected_value: Total, label: employment type} + - {column: J, row: 2610, expected_value: Value, label: measure} + - {column: L, row: 2611, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2612 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2612, expected_value: N92000002, label: geography} + - {column: D, row: 2612, expected_value: All persons, label: sex} + - {column: E, row: 2612, expected_value: Total, label: employment type} + - {column: J, row: 2612, expected_value: Value, label: measure} + - {column: L, row: 2613, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2614 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2614, expected_value: N92000002, label: geography} + - {column: D, row: 2614, expected_value: All persons, label: sex} + - {column: E, row: 2614, expected_value: Total, label: employment type} + - {column: J, row: 2614, expected_value: Value, label: measure} + - {column: L, row: 2615, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2616 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2616, expected_value: N92000002, label: geography} + - {column: D, row: 2616, expected_value: All persons, label: sex} + - {column: E, row: 2616, expected_value: Total, label: employment type} + - {column: J, row: 2616, expected_value: Value, label: measure} + - {column: L, row: 2617, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2618 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2618, expected_value: N92000002, label: geography} + - {column: D, row: 2618, expected_value: All persons, label: sex} + - {column: E, row: 2618, expected_value: Total, label: employment type} + - {column: J, row: 2618, expected_value: Value, label: measure} + - {column: L, row: 2619, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2620 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2620, expected_value: N92000002, label: geography} + - {column: D, row: 2620, expected_value: All persons, label: sex} + - {column: E, row: 2620, expected_value: Total, label: employment type} + - {column: J, row: 2620, expected_value: Value, label: measure} + - {column: L, row: 2621, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2622 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2622, expected_value: N92000002, label: geography} + - {column: D, row: 2622, expected_value: All persons, label: sex} + - {column: E, row: 2622, expected_value: Total, label: employment type} + - {column: J, row: 2622, expected_value: Value, label: measure} + - {column: L, row: 2623, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2624 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2624, expected_value: N92000002, label: geography} + - {column: D, row: 2624, expected_value: All persons, label: sex} + - {column: E, row: 2624, expected_value: Total, label: employment type} + - {column: J, row: 2624, expected_value: Value, label: measure} + - {column: L, row: 2625, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2626 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2626, expected_value: N92000002, label: geography} + - {column: D, row: 2626, expected_value: All persons, label: sex} + - {column: E, row: 2626, expected_value: Total, label: employment type} + - {column: J, row: 2626, expected_value: Value, label: measure} + - {column: L, row: 2627, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2628 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2628, expected_value: N92000002, label: geography} + - {column: D, row: 2628, expected_value: All persons, label: sex} + - {column: E, row: 2628, expected_value: Total, label: employment type} + - {column: J, row: 2628, expected_value: Value, label: measure} + - {column: L, row: 2629, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2630 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2630, expected_value: N92000002, label: geography} + - {column: D, row: 2630, expected_value: All persons, label: sex} + - {column: E, row: 2630, expected_value: Total, label: employment type} + - {column: J, row: 2630, expected_value: Value, label: measure} + - {column: L, row: 2631, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2632 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2632, expected_value: N92000002, label: geography} + - {column: D, row: 2632, expected_value: All persons, label: sex} + - {column: E, row: 2632, expected_value: Total, label: employment type} + - {column: J, row: 2632, expected_value: Value, label: measure} + - {column: L, row: 2633, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2634 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2634, expected_value: N92000002, label: geography} + - {column: D, row: 2634, expected_value: All persons, label: sex} + - {column: E, row: 2634, expected_value: Total, label: employment type} + - {column: J, row: 2634, expected_value: Value, label: measure} + - {column: L, row: 2635, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2636 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2636, expected_value: N92000002, label: geography} + - {column: D, row: 2636, expected_value: All persons, label: sex} + - {column: E, row: 2636, expected_value: Total, label: employment type} + - {column: J, row: 2636, expected_value: Value, label: measure} + - {column: L, row: 2637, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2638 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2638, expected_value: N92000002, label: geography} + - {column: D, row: 2638, expected_value: All persons, label: sex} + - {column: E, row: 2638, expected_value: Total, label: employment type} + - {column: J, row: 2638, expected_value: Value, label: measure} + - {column: L, row: 2639, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2640 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2640, expected_value: N92000002, label: geography} + - {column: D, row: 2640, expected_value: All persons, label: sex} + - {column: E, row: 2640, expected_value: Total, label: employment type} + - {column: J, row: 2640, expected_value: Value, label: measure} + - {column: L, row: 2641, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2642 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2642, expected_value: N92000002, label: geography} + - {column: D, row: 2642, expected_value: All persons, label: sex} + - {column: E, row: 2642, expected_value: Total, label: employment type} + - {column: J, row: 2642, expected_value: Value, label: measure} + - {column: L, row: 2643, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2644 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2644, expected_value: N92000002, label: geography} + - {column: D, row: 2644, expected_value: All persons, label: sex} + - {column: E, row: 2644, expected_value: Total, label: employment type} + - {column: J, row: 2644, expected_value: Value, label: measure} + - {column: L, row: 2645, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2646 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2646, expected_value: N92000002, label: geography} + - {column: D, row: 2646, expected_value: All persons, label: sex} + - {column: E, row: 2646, expected_value: Total, label: employment type} + - {column: J, row: 2646, expected_value: Value, label: measure} + - {column: L, row: 2647, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2648 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2648, expected_value: N92000002, label: geography} + - {column: D, row: 2648, expected_value: All persons, label: sex} + - {column: E, row: 2648, expected_value: Total, label: employment type} + - {column: J, row: 2648, expected_value: Value, label: measure} + - {column: L, row: 2649, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2650 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2650, expected_value: N92000002, label: geography} + - {column: D, row: 2650, expected_value: All persons, label: sex} + - {column: E, row: 2650, expected_value: Total, label: employment type} + - {column: J, row: 2650, expected_value: Value, label: measure} + - {column: L, row: 2651, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2652 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2652, expected_value: N92000002, label: geography} + - {column: D, row: 2652, expected_value: All persons, label: sex} + - {column: E, row: 2652, expected_value: Total, label: employment type} + - {column: J, row: 2652, expected_value: Value, label: measure} + - {column: L, row: 2653, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2654 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2654, expected_value: N92000002, label: geography} + - {column: D, row: 2654, expected_value: All persons, label: sex} + - {column: E, row: 2654, expected_value: Total, label: employment type} + - {column: J, row: 2654, expected_value: Value, label: measure} + - {column: L, row: 2655, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2656 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2656, expected_value: N92000002, label: geography} + - {column: D, row: 2656, expected_value: All persons, label: sex} + - {column: E, row: 2656, expected_value: Total, label: employment type} + - {column: J, row: 2656, expected_value: Value, label: measure} + - {column: L, row: 2657, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2658 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2658, expected_value: N92000002, label: geography} + - {column: D, row: 2658, expected_value: All persons, label: sex} + - {column: E, row: 2658, expected_value: Total, label: employment type} + - {column: J, row: 2658, expected_value: Value, label: measure} + - {column: L, row: 2659, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2660 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2660, expected_value: N92000002, label: geography} + - {column: D, row: 2660, expected_value: All persons, label: sex} + - {column: E, row: 2660, expected_value: Total, label: employment type} + - {column: J, row: 2660, expected_value: Value, label: measure} + - {column: L, row: 2661, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2662 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2662, expected_value: N92000002, label: geography} + - {column: D, row: 2662, expected_value: All persons, label: sex} + - {column: E, row: 2662, expected_value: Total, label: employment type} + - {column: J, row: 2662, expected_value: Value, label: measure} + - {column: L, row: 2663, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2664 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2664, expected_value: N92000002, label: geography} + - {column: D, row: 2664, expected_value: All persons, label: sex} + - {column: E, row: 2664, expected_value: Total, label: employment type} + - {column: J, row: 2664, expected_value: Value, label: measure} + - {column: L, row: 2665, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2595 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2595, expected_value: N92000002, label: geography} + - {column: D, row: 2595, expected_value: All persons, label: sex} + - {column: E, row: 2595, expected_value: Total, label: employment type} + - {column: J, row: 2595, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2597 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2597, expected_value: N92000002, label: geography} + - {column: D, row: 2597, expected_value: All persons, label: sex} + - {column: E, row: 2597, expected_value: Total, label: employment type} + - {column: J, row: 2597, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2599 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2599, expected_value: N92000002, label: geography} + - {column: D, row: 2599, expected_value: All persons, label: sex} + - {column: E, row: 2599, expected_value: Total, label: employment type} + - {column: J, row: 2599, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2601 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2601, expected_value: N92000002, label: geography} + - {column: D, row: 2601, expected_value: All persons, label: sex} + - {column: E, row: 2601, expected_value: Total, label: employment type} + - {column: J, row: 2601, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2603 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2603, expected_value: N92000002, label: geography} + - {column: D, row: 2603, expected_value: All persons, label: sex} + - {column: E, row: 2603, expected_value: Total, label: employment type} + - {column: J, row: 2603, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2605 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2605, expected_value: N92000002, label: geography} + - {column: D, row: 2605, expected_value: All persons, label: sex} + - {column: E, row: 2605, expected_value: Total, label: employment type} + - {column: J, row: 2605, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2607 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2607, expected_value: N92000002, label: geography} + - {column: D, row: 2607, expected_value: All persons, label: sex} + - {column: E, row: 2607, expected_value: Total, label: employment type} + - {column: J, row: 2607, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2609 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2609, expected_value: N92000002, label: geography} + - {column: D, row: 2609, expected_value: All persons, label: sex} + - {column: E, row: 2609, expected_value: Total, label: employment type} + - {column: J, row: 2609, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2611 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2611, expected_value: N92000002, label: geography} + - {column: D, row: 2611, expected_value: All persons, label: sex} + - {column: E, row: 2611, expected_value: Total, label: employment type} + - {column: J, row: 2611, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2613 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2613, expected_value: N92000002, label: geography} + - {column: D, row: 2613, expected_value: All persons, label: sex} + - {column: E, row: 2613, expected_value: Total, label: employment type} + - {column: J, row: 2613, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2615 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2615, expected_value: N92000002, label: geography} + - {column: D, row: 2615, expected_value: All persons, label: sex} + - {column: E, row: 2615, expected_value: Total, label: employment type} + - {column: J, row: 2615, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2617 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2617, expected_value: N92000002, label: geography} + - {column: D, row: 2617, expected_value: All persons, label: sex} + - {column: E, row: 2617, expected_value: Total, label: employment type} + - {column: J, row: 2617, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2619 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2619, expected_value: N92000002, label: geography} + - {column: D, row: 2619, expected_value: All persons, label: sex} + - {column: E, row: 2619, expected_value: Total, label: employment type} + - {column: J, row: 2619, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2621 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2621, expected_value: N92000002, label: geography} + - {column: D, row: 2621, expected_value: All persons, label: sex} + - {column: E, row: 2621, expected_value: Total, label: employment type} + - {column: J, row: 2621, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2623 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2623, expected_value: N92000002, label: geography} + - {column: D, row: 2623, expected_value: All persons, label: sex} + - {column: E, row: 2623, expected_value: Total, label: employment type} + - {column: J, row: 2623, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2625 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2625, expected_value: N92000002, label: geography} + - {column: D, row: 2625, expected_value: All persons, label: sex} + - {column: E, row: 2625, expected_value: Total, label: employment type} + - {column: J, row: 2625, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2627 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2627, expected_value: N92000002, label: geography} + - {column: D, row: 2627, expected_value: All persons, label: sex} + - {column: E, row: 2627, expected_value: Total, label: employment type} + - {column: J, row: 2627, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2629 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2629, expected_value: N92000002, label: geography} + - {column: D, row: 2629, expected_value: All persons, label: sex} + - {column: E, row: 2629, expected_value: Total, label: employment type} + - {column: J, row: 2629, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2631 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2631, expected_value: N92000002, label: geography} + - {column: D, row: 2631, expected_value: All persons, label: sex} + - {column: E, row: 2631, expected_value: Total, label: employment type} + - {column: J, row: 2631, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2633 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2633, expected_value: N92000002, label: geography} + - {column: D, row: 2633, expected_value: All persons, label: sex} + - {column: E, row: 2633, expected_value: Total, label: employment type} + - {column: J, row: 2633, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2635 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2635, expected_value: N92000002, label: geography} + - {column: D, row: 2635, expected_value: All persons, label: sex} + - {column: E, row: 2635, expected_value: Total, label: employment type} + - {column: J, row: 2635, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2637 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2637, expected_value: N92000002, label: geography} + - {column: D, row: 2637, expected_value: All persons, label: sex} + - {column: E, row: 2637, expected_value: Total, label: employment type} + - {column: J, row: 2637, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2639 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2639, expected_value: N92000002, label: geography} + - {column: D, row: 2639, expected_value: All persons, label: sex} + - {column: E, row: 2639, expected_value: Total, label: employment type} + - {column: J, row: 2639, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2641 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2641, expected_value: N92000002, label: geography} + - {column: D, row: 2641, expected_value: All persons, label: sex} + - {column: E, row: 2641, expected_value: Total, label: employment type} + - {column: J, row: 2641, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2643 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2643, expected_value: N92000002, label: geography} + - {column: D, row: 2643, expected_value: All persons, label: sex} + - {column: E, row: 2643, expected_value: Total, label: employment type} + - {column: J, row: 2643, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2645 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2645, expected_value: N92000002, label: geography} + - {column: D, row: 2645, expected_value: All persons, label: sex} + - {column: E, row: 2645, expected_value: Total, label: employment type} + - {column: J, row: 2645, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2649 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2649, expected_value: N92000002, label: geography} + - {column: D, row: 2649, expected_value: All persons, label: sex} + - {column: E, row: 2649, expected_value: Total, label: employment type} + - {column: J, row: 2649, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2651 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2651, expected_value: N92000002, label: geography} + - {column: D, row: 2651, expected_value: All persons, label: sex} + - {column: E, row: 2651, expected_value: Total, label: employment type} + - {column: J, row: 2651, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2653 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2653, expected_value: N92000002, label: geography} + - {column: D, row: 2653, expected_value: All persons, label: sex} + - {column: E, row: 2653, expected_value: Total, label: employment type} + - {column: J, row: 2653, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2655 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2655, expected_value: N92000002, label: geography} + - {column: D, row: 2655, expected_value: All persons, label: sex} + - {column: E, row: 2655, expected_value: Total, label: employment type} + - {column: J, row: 2655, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2657 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2657, expected_value: N92000002, label: geography} + - {column: D, row: 2657, expected_value: All persons, label: sex} + - {column: E, row: 2657, expected_value: Total, label: employment type} + - {column: J, row: 2657, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2659 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2659, expected_value: N92000002, label: geography} + - {column: D, row: 2659, expected_value: All persons, label: sex} + - {column: E, row: 2659, expected_value: Total, label: employment type} + - {column: J, row: 2659, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2661 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2661, expected_value: N92000002, label: geography} + - {column: D, row: 2661, expected_value: All persons, label: sex} + - {column: E, row: 2661, expected_value: Total, label: employment type} + - {column: J, row: 2661, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2663 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2663, expected_value: N92000002, label: geography} + - {column: D, row: 2663, expected_value: All persons, label: sex} + - {column: E, row: 2663, expected_value: Total, label: employment type} + - {column: J, row: 2663, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2665 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2665, expected_value: N92000002, label: geography} + - {column: D, row: 2665, expected_value: All persons, label: sex} + - {column: E, row: 2665, expected_value: Total, label: employment type} + - {column: J, row: 2665, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2810 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2810, expected_value: N92000002, label: geography} + - {column: D, row: 2810, expected_value: All persons, label: sex} + - {column: E, row: 2810, expected_value: Employee, label: employment type} + - {column: J, row: 2810, expected_value: Value, label: measure} + - {column: L, row: 2811, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2812 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2812, expected_value: N92000002, label: geography} + - {column: D, row: 2812, expected_value: All persons, label: sex} + - {column: E, row: 2812, expected_value: Employee, label: employment type} + - {column: J, row: 2812, expected_value: Value, label: measure} + - {column: L, row: 2813, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2814 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2814, expected_value: N92000002, label: geography} + - {column: D, row: 2814, expected_value: All persons, label: sex} + - {column: E, row: 2814, expected_value: Employee, label: employment type} + - {column: J, row: 2814, expected_value: Value, label: measure} + - {column: L, row: 2815, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2816 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2816, expected_value: N92000002, label: geography} + - {column: D, row: 2816, expected_value: All persons, label: sex} + - {column: E, row: 2816, expected_value: Employee, label: employment type} + - {column: J, row: 2816, expected_value: Value, label: measure} + - {column: L, row: 2817, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2818 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2818, expected_value: N92000002, label: geography} + - {column: D, row: 2818, expected_value: All persons, label: sex} + - {column: E, row: 2818, expected_value: Employee, label: employment type} + - {column: J, row: 2818, expected_value: Value, label: measure} + - {column: L, row: 2819, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2820 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2820, expected_value: N92000002, label: geography} + - {column: D, row: 2820, expected_value: All persons, label: sex} + - {column: E, row: 2820, expected_value: Employee, label: employment type} + - {column: J, row: 2820, expected_value: Value, label: measure} + - {column: L, row: 2821, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2822 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2822, expected_value: N92000002, label: geography} + - {column: D, row: 2822, expected_value: All persons, label: sex} + - {column: E, row: 2822, expected_value: Employee, label: employment type} + - {column: J, row: 2822, expected_value: Value, label: measure} + - {column: L, row: 2823, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2824 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2824, expected_value: N92000002, label: geography} + - {column: D, row: 2824, expected_value: All persons, label: sex} + - {column: E, row: 2824, expected_value: Employee, label: employment type} + - {column: J, row: 2824, expected_value: Value, label: measure} + - {column: L, row: 2825, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2826 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2826, expected_value: N92000002, label: geography} + - {column: D, row: 2826, expected_value: All persons, label: sex} + - {column: E, row: 2826, expected_value: Employee, label: employment type} + - {column: J, row: 2826, expected_value: Value, label: measure} + - {column: L, row: 2827, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2828 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2828, expected_value: N92000002, label: geography} + - {column: D, row: 2828, expected_value: All persons, label: sex} + - {column: E, row: 2828, expected_value: Employee, label: employment type} + - {column: J, row: 2828, expected_value: Value, label: measure} + - {column: L, row: 2829, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2830 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2830, expected_value: N92000002, label: geography} + - {column: D, row: 2830, expected_value: All persons, label: sex} + - {column: E, row: 2830, expected_value: Employee, label: employment type} + - {column: J, row: 2830, expected_value: Value, label: measure} + - {column: L, row: 2831, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2832 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2832, expected_value: N92000002, label: geography} + - {column: D, row: 2832, expected_value: All persons, label: sex} + - {column: E, row: 2832, expected_value: Employee, label: employment type} + - {column: J, row: 2832, expected_value: Value, label: measure} + - {column: L, row: 2833, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2834 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2834, expected_value: N92000002, label: geography} + - {column: D, row: 2834, expected_value: All persons, label: sex} + - {column: E, row: 2834, expected_value: Employee, label: employment type} + - {column: J, row: 2834, expected_value: Value, label: measure} + - {column: L, row: 2835, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2836 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2836, expected_value: N92000002, label: geography} + - {column: D, row: 2836, expected_value: All persons, label: sex} + - {column: E, row: 2836, expected_value: Employee, label: employment type} + - {column: J, row: 2836, expected_value: Value, label: measure} + - {column: L, row: 2837, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2838 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2838, expected_value: N92000002, label: geography} + - {column: D, row: 2838, expected_value: All persons, label: sex} + - {column: E, row: 2838, expected_value: Employee, label: employment type} + - {column: J, row: 2838, expected_value: Value, label: measure} + - {column: L, row: 2839, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2840 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2840, expected_value: N92000002, label: geography} + - {column: D, row: 2840, expected_value: All persons, label: sex} + - {column: E, row: 2840, expected_value: Employee, label: employment type} + - {column: J, row: 2840, expected_value: Value, label: measure} + - {column: L, row: 2841, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2842 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2842, expected_value: N92000002, label: geography} + - {column: D, row: 2842, expected_value: All persons, label: sex} + - {column: E, row: 2842, expected_value: Employee, label: employment type} + - {column: J, row: 2842, expected_value: Value, label: measure} + - {column: L, row: 2843, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2844 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2844, expected_value: N92000002, label: geography} + - {column: D, row: 2844, expected_value: All persons, label: sex} + - {column: E, row: 2844, expected_value: Employee, label: employment type} + - {column: J, row: 2844, expected_value: Value, label: measure} + - {column: L, row: 2845, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2846 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2846, expected_value: N92000002, label: geography} + - {column: D, row: 2846, expected_value: All persons, label: sex} + - {column: E, row: 2846, expected_value: Employee, label: employment type} + - {column: J, row: 2846, expected_value: Value, label: measure} + - {column: L, row: 2847, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2848 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2848, expected_value: N92000002, label: geography} + - {column: D, row: 2848, expected_value: All persons, label: sex} + - {column: E, row: 2848, expected_value: Employee, label: employment type} + - {column: J, row: 2848, expected_value: Value, label: measure} + - {column: L, row: 2849, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2850 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2850, expected_value: N92000002, label: geography} + - {column: D, row: 2850, expected_value: All persons, label: sex} + - {column: E, row: 2850, expected_value: Employee, label: employment type} + - {column: J, row: 2850, expected_value: Value, label: measure} + - {column: L, row: 2851, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2852 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2852, expected_value: N92000002, label: geography} + - {column: D, row: 2852, expected_value: All persons, label: sex} + - {column: E, row: 2852, expected_value: Employee, label: employment type} + - {column: J, row: 2852, expected_value: Value, label: measure} + - {column: L, row: 2853, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2854 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2854, expected_value: N92000002, label: geography} + - {column: D, row: 2854, expected_value: All persons, label: sex} + - {column: E, row: 2854, expected_value: Employee, label: employment type} + - {column: J, row: 2854, expected_value: Value, label: measure} + - {column: L, row: 2855, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2856 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2856, expected_value: N92000002, label: geography} + - {column: D, row: 2856, expected_value: All persons, label: sex} + - {column: E, row: 2856, expected_value: Employee, label: employment type} + - {column: J, row: 2856, expected_value: Value, label: measure} + - {column: L, row: 2857, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2858 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2858, expected_value: N92000002, label: geography} + - {column: D, row: 2858, expected_value: All persons, label: sex} + - {column: E, row: 2858, expected_value: Employee, label: employment type} + - {column: J, row: 2858, expected_value: Value, label: measure} + - {column: L, row: 2859, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2860 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2860, expected_value: N92000002, label: geography} + - {column: D, row: 2860, expected_value: All persons, label: sex} + - {column: E, row: 2860, expected_value: Employee, label: employment type} + - {column: J, row: 2860, expected_value: Value, label: measure} + - {column: L, row: 2861, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 2862 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 2862, expected_value: N92000002, label: geography} + - {column: D, row: 2862, expected_value: All persons, label: sex} + - {column: E, row: 2862, expected_value: Employee, label: employment type} + - {column: J, row: 2862, expected_value: Value, label: measure} + - {column: L, row: 2863, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2864 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2864, expected_value: N92000002, label: geography} + - {column: D, row: 2864, expected_value: All persons, label: sex} + - {column: E, row: 2864, expected_value: Employee, label: employment type} + - {column: J, row: 2864, expected_value: Value, label: measure} + - {column: L, row: 2865, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2866 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2866, expected_value: N92000002, label: geography} + - {column: D, row: 2866, expected_value: All persons, label: sex} + - {column: E, row: 2866, expected_value: Employee, label: employment type} + - {column: J, row: 2866, expected_value: Value, label: measure} + - {column: L, row: 2867, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2868 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2868, expected_value: N92000002, label: geography} + - {column: D, row: 2868, expected_value: All persons, label: sex} + - {column: E, row: 2868, expected_value: Employee, label: employment type} + - {column: J, row: 2868, expected_value: Value, label: measure} + - {column: L, row: 2869, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2870 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2870, expected_value: N92000002, label: geography} + - {column: D, row: 2870, expected_value: All persons, label: sex} + - {column: E, row: 2870, expected_value: Employee, label: employment type} + - {column: J, row: 2870, expected_value: Value, label: measure} + - {column: L, row: 2871, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2872 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2872, expected_value: N92000002, label: geography} + - {column: D, row: 2872, expected_value: All persons, label: sex} + - {column: E, row: 2872, expected_value: Employee, label: employment type} + - {column: J, row: 2872, expected_value: Value, label: measure} + - {column: L, row: 2873, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2874 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2874, expected_value: N92000002, label: geography} + - {column: D, row: 2874, expected_value: All persons, label: sex} + - {column: E, row: 2874, expected_value: Employee, label: employment type} + - {column: J, row: 2874, expected_value: Value, label: measure} + - {column: L, row: 2875, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2876 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2876, expected_value: N92000002, label: geography} + - {column: D, row: 2876, expected_value: All persons, label: sex} + - {column: E, row: 2876, expected_value: Employee, label: employment type} + - {column: J, row: 2876, expected_value: Value, label: measure} + - {column: L, row: 2877, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2878 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2878, expected_value: N92000002, label: geography} + - {column: D, row: 2878, expected_value: All persons, label: sex} + - {column: E, row: 2878, expected_value: Employee, label: employment type} + - {column: J, row: 2878, expected_value: Value, label: measure} + - {column: L, row: 2879, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2880 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2880, expected_value: N92000002, label: geography} + - {column: D, row: 2880, expected_value: All persons, label: sex} + - {column: E, row: 2880, expected_value: Employee, label: employment type} + - {column: J, row: 2880, expected_value: Value, label: measure} + - {column: L, row: 2881, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2811 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2811, expected_value: N92000002, label: geography} + - {column: D, row: 2811, expected_value: All persons, label: sex} + - {column: E, row: 2811, expected_value: Employee, label: employment type} + - {column: J, row: 2811, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2813 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2813, expected_value: N92000002, label: geography} + - {column: D, row: 2813, expected_value: All persons, label: sex} + - {column: E, row: 2813, expected_value: Employee, label: employment type} + - {column: J, row: 2813, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2815 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2815, expected_value: N92000002, label: geography} + - {column: D, row: 2815, expected_value: All persons, label: sex} + - {column: E, row: 2815, expected_value: Employee, label: employment type} + - {column: J, row: 2815, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2817 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2817, expected_value: N92000002, label: geography} + - {column: D, row: 2817, expected_value: All persons, label: sex} + - {column: E, row: 2817, expected_value: Employee, label: employment type} + - {column: J, row: 2817, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2819 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2819, expected_value: N92000002, label: geography} + - {column: D, row: 2819, expected_value: All persons, label: sex} + - {column: E, row: 2819, expected_value: Employee, label: employment type} + - {column: J, row: 2819, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2821 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2821, expected_value: N92000002, label: geography} + - {column: D, row: 2821, expected_value: All persons, label: sex} + - {column: E, row: 2821, expected_value: Employee, label: employment type} + - {column: J, row: 2821, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2823 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2823, expected_value: N92000002, label: geography} + - {column: D, row: 2823, expected_value: All persons, label: sex} + - {column: E, row: 2823, expected_value: Employee, label: employment type} + - {column: J, row: 2823, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2825 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2825, expected_value: N92000002, label: geography} + - {column: D, row: 2825, expected_value: All persons, label: sex} + - {column: E, row: 2825, expected_value: Employee, label: employment type} + - {column: J, row: 2825, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2827 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2827, expected_value: N92000002, label: geography} + - {column: D, row: 2827, expected_value: All persons, label: sex} + - {column: E, row: 2827, expected_value: Employee, label: employment type} + - {column: J, row: 2827, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2829 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2829, expected_value: N92000002, label: geography} + - {column: D, row: 2829, expected_value: All persons, label: sex} + - {column: E, row: 2829, expected_value: Employee, label: employment type} + - {column: J, row: 2829, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2831 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2831, expected_value: N92000002, label: geography} + - {column: D, row: 2831, expected_value: All persons, label: sex} + - {column: E, row: 2831, expected_value: Employee, label: employment type} + - {column: J, row: 2831, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2833 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2833, expected_value: N92000002, label: geography} + - {column: D, row: 2833, expected_value: All persons, label: sex} + - {column: E, row: 2833, expected_value: Employee, label: employment type} + - {column: J, row: 2833, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2835 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2835, expected_value: N92000002, label: geography} + - {column: D, row: 2835, expected_value: All persons, label: sex} + - {column: E, row: 2835, expected_value: Employee, label: employment type} + - {column: J, row: 2835, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2837 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2837, expected_value: N92000002, label: geography} + - {column: D, row: 2837, expected_value: All persons, label: sex} + - {column: E, row: 2837, expected_value: Employee, label: employment type} + - {column: J, row: 2837, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2839 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2839, expected_value: N92000002, label: geography} + - {column: D, row: 2839, expected_value: All persons, label: sex} + - {column: E, row: 2839, expected_value: Employee, label: employment type} + - {column: J, row: 2839, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2841 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2841, expected_value: N92000002, label: geography} + - {column: D, row: 2841, expected_value: All persons, label: sex} + - {column: E, row: 2841, expected_value: Employee, label: employment type} + - {column: J, row: 2841, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2843 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2843, expected_value: N92000002, label: geography} + - {column: D, row: 2843, expected_value: All persons, label: sex} + - {column: E, row: 2843, expected_value: Employee, label: employment type} + - {column: J, row: 2843, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2845 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2845, expected_value: N92000002, label: geography} + - {column: D, row: 2845, expected_value: All persons, label: sex} + - {column: E, row: 2845, expected_value: Employee, label: employment type} + - {column: J, row: 2845, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2847 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2847, expected_value: N92000002, label: geography} + - {column: D, row: 2847, expected_value: All persons, label: sex} + - {column: E, row: 2847, expected_value: Employee, label: employment type} + - {column: J, row: 2847, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2849 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2849, expected_value: N92000002, label: geography} + - {column: D, row: 2849, expected_value: All persons, label: sex} + - {column: E, row: 2849, expected_value: Employee, label: employment type} + - {column: J, row: 2849, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2851 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2851, expected_value: N92000002, label: geography} + - {column: D, row: 2851, expected_value: All persons, label: sex} + - {column: E, row: 2851, expected_value: Employee, label: employment type} + - {column: J, row: 2851, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2853 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2853, expected_value: N92000002, label: geography} + - {column: D, row: 2853, expected_value: All persons, label: sex} + - {column: E, row: 2853, expected_value: Employee, label: employment type} + - {column: J, row: 2853, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2855 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2855, expected_value: N92000002, label: geography} + - {column: D, row: 2855, expected_value: All persons, label: sex} + - {column: E, row: 2855, expected_value: Employee, label: employment type} + - {column: J, row: 2855, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2857 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2857, expected_value: N92000002, label: geography} + - {column: D, row: 2857, expected_value: All persons, label: sex} + - {column: E, row: 2857, expected_value: Employee, label: employment type} + - {column: J, row: 2857, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2859 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2859, expected_value: N92000002, label: geography} + - {column: D, row: 2859, expected_value: All persons, label: sex} + - {column: E, row: 2859, expected_value: Employee, label: employment type} + - {column: J, row: 2859, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2861 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2861, expected_value: N92000002, label: geography} + - {column: D, row: 2861, expected_value: All persons, label: sex} + - {column: E, row: 2861, expected_value: Employee, label: employment type} + - {column: J, row: 2861, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2865 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2865, expected_value: N92000002, label: geography} + - {column: D, row: 2865, expected_value: All persons, label: sex} + - {column: E, row: 2865, expected_value: Employee, label: employment type} + - {column: J, row: 2865, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2867 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2867, expected_value: N92000002, label: geography} + - {column: D, row: 2867, expected_value: All persons, label: sex} + - {column: E, row: 2867, expected_value: Employee, label: employment type} + - {column: J, row: 2867, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2869 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2869, expected_value: N92000002, label: geography} + - {column: D, row: 2869, expected_value: All persons, label: sex} + - {column: E, row: 2869, expected_value: Employee, label: employment type} + - {column: J, row: 2869, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2871 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2871, expected_value: N92000002, label: geography} + - {column: D, row: 2871, expected_value: All persons, label: sex} + - {column: E, row: 2871, expected_value: Employee, label: employment type} + - {column: J, row: 2871, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2873 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2873, expected_value: N92000002, label: geography} + - {column: D, row: 2873, expected_value: All persons, label: sex} + - {column: E, row: 2873, expected_value: Employee, label: employment type} + - {column: J, row: 2873, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2875 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2875, expected_value: N92000002, label: geography} + - {column: D, row: 2875, expected_value: All persons, label: sex} + - {column: E, row: 2875, expected_value: Employee, label: employment type} + - {column: J, row: 2875, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2877 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2877, expected_value: N92000002, label: geography} + - {column: D, row: 2877, expected_value: All persons, label: sex} + - {column: E, row: 2877, expected_value: Employee, label: employment type} + - {column: J, row: 2877, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2879 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2879, expected_value: N92000002, label: geography} + - {column: D, row: 2879, expected_value: All persons, label: sex} + - {column: E, row: 2879, expected_value: Employee, label: employment type} + - {column: J, row: 2879, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2881 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2881, expected_value: N92000002, label: geography} + - {column: D, row: 2881, expected_value: All persons, label: sex} + - {column: E, row: 2881, expected_value: Employee, label: employment type} + - {column: J, row: 2881, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3026 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3026, expected_value: N92000002, label: geography} + - {column: D, row: 3026, expected_value: All persons, label: sex} + - {column: E, row: 3026, expected_value: Self-employed, label: employment type} + - {column: J, row: 3026, expected_value: Value, label: measure} + - {column: L, row: 3027, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3028 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3028, expected_value: N92000002, label: geography} + - {column: D, row: 3028, expected_value: All persons, label: sex} + - {column: E, row: 3028, expected_value: Self-employed, label: employment type} + - {column: J, row: 3028, expected_value: Value, label: measure} + - {column: L, row: 3029, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3030 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3030, expected_value: N92000002, label: geography} + - {column: D, row: 3030, expected_value: All persons, label: sex} + - {column: E, row: 3030, expected_value: Self-employed, label: employment type} + - {column: J, row: 3030, expected_value: Value, label: measure} + - {column: L, row: 3031, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3032 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3032, expected_value: N92000002, label: geography} + - {column: D, row: 3032, expected_value: All persons, label: sex} + - {column: E, row: 3032, expected_value: Self-employed, label: employment type} + - {column: J, row: 3032, expected_value: Value, label: measure} + - {column: L, row: 3033, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3034 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3034, expected_value: N92000002, label: geography} + - {column: D, row: 3034, expected_value: All persons, label: sex} + - {column: E, row: 3034, expected_value: Self-employed, label: employment type} + - {column: J, row: 3034, expected_value: Value, label: measure} + - {column: L, row: 3035, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3036 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3036, expected_value: N92000002, label: geography} + - {column: D, row: 3036, expected_value: All persons, label: sex} + - {column: E, row: 3036, expected_value: Self-employed, label: employment type} + - {column: J, row: 3036, expected_value: Value, label: measure} + - {column: L, row: 3037, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3038 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3038, expected_value: N92000002, label: geography} + - {column: D, row: 3038, expected_value: All persons, label: sex} + - {column: E, row: 3038, expected_value: Self-employed, label: employment type} + - {column: J, row: 3038, expected_value: Value, label: measure} + - {column: L, row: 3039, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3040 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3040, expected_value: N92000002, label: geography} + - {column: D, row: 3040, expected_value: All persons, label: sex} + - {column: E, row: 3040, expected_value: Self-employed, label: employment type} + - {column: J, row: 3040, expected_value: Value, label: measure} + - {column: L, row: 3041, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3042 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3042, expected_value: N92000002, label: geography} + - {column: D, row: 3042, expected_value: All persons, label: sex} + - {column: E, row: 3042, expected_value: Self-employed, label: employment type} + - {column: J, row: 3042, expected_value: Value, label: measure} + - {column: L, row: 3043, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3044 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3044, expected_value: N92000002, label: geography} + - {column: D, row: 3044, expected_value: All persons, label: sex} + - {column: E, row: 3044, expected_value: Self-employed, label: employment type} + - {column: J, row: 3044, expected_value: Value, label: measure} + - {column: L, row: 3045, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3046 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3046, expected_value: N92000002, label: geography} + - {column: D, row: 3046, expected_value: All persons, label: sex} + - {column: E, row: 3046, expected_value: Self-employed, label: employment type} + - {column: J, row: 3046, expected_value: Value, label: measure} + - {column: L, row: 3047, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3048 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3048, expected_value: N92000002, label: geography} + - {column: D, row: 3048, expected_value: All persons, label: sex} + - {column: E, row: 3048, expected_value: Self-employed, label: employment type} + - {column: J, row: 3048, expected_value: Value, label: measure} + - {column: L, row: 3049, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3052 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3052, expected_value: N92000002, label: geography} + - {column: D, row: 3052, expected_value: All persons, label: sex} + - {column: E, row: 3052, expected_value: Self-employed, label: employment type} + - {column: J, row: 3052, expected_value: Value, label: measure} + - {column: L, row: 3053, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3054 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3054, expected_value: N92000002, label: geography} + - {column: D, row: 3054, expected_value: All persons, label: sex} + - {column: E, row: 3054, expected_value: Self-employed, label: employment type} + - {column: J, row: 3054, expected_value: Value, label: measure} + - {column: L, row: 3055, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3056 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3056, expected_value: N92000002, label: geography} + - {column: D, row: 3056, expected_value: All persons, label: sex} + - {column: E, row: 3056, expected_value: Self-employed, label: employment type} + - {column: J, row: 3056, expected_value: Value, label: measure} + - {column: L, row: 3057, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3058 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3058, expected_value: N92000002, label: geography} + - {column: D, row: 3058, expected_value: All persons, label: sex} + - {column: E, row: 3058, expected_value: Self-employed, label: employment type} + - {column: J, row: 3058, expected_value: Value, label: measure} + - {column: L, row: 3059, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3062 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3062, expected_value: N92000002, label: geography} + - {column: D, row: 3062, expected_value: All persons, label: sex} + - {column: E, row: 3062, expected_value: Self-employed, label: employment type} + - {column: J, row: 3062, expected_value: Value, label: measure} + - {column: L, row: 3063, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3064 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3064, expected_value: N92000002, label: geography} + - {column: D, row: 3064, expected_value: All persons, label: sex} + - {column: E, row: 3064, expected_value: Self-employed, label: employment type} + - {column: J, row: 3064, expected_value: Value, label: measure} + - {column: L, row: 3065, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3066 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3066, expected_value: N92000002, label: geography} + - {column: D, row: 3066, expected_value: All persons, label: sex} + - {column: E, row: 3066, expected_value: Self-employed, label: employment type} + - {column: J, row: 3066, expected_value: Value, label: measure} + - {column: L, row: 3067, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3068 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3068, expected_value: N92000002, label: geography} + - {column: D, row: 3068, expected_value: All persons, label: sex} + - {column: E, row: 3068, expected_value: Self-employed, label: employment type} + - {column: J, row: 3068, expected_value: Value, label: measure} + - {column: L, row: 3069, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3070 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3070, expected_value: N92000002, label: geography} + - {column: D, row: 3070, expected_value: All persons, label: sex} + - {column: E, row: 3070, expected_value: Self-employed, label: employment type} + - {column: J, row: 3070, expected_value: Value, label: measure} + - {column: L, row: 3071, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3072 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3072, expected_value: N92000002, label: geography} + - {column: D, row: 3072, expected_value: All persons, label: sex} + - {column: E, row: 3072, expected_value: Self-employed, label: employment type} + - {column: J, row: 3072, expected_value: Value, label: measure} + - {column: L, row: 3073, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3074 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3074, expected_value: N92000002, label: geography} + - {column: D, row: 3074, expected_value: All persons, label: sex} + - {column: E, row: 3074, expected_value: Self-employed, label: employment type} + - {column: J, row: 3074, expected_value: Value, label: measure} + - {column: L, row: 3075, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3076 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3076, expected_value: N92000002, label: geography} + - {column: D, row: 3076, expected_value: All persons, label: sex} + - {column: E, row: 3076, expected_value: Self-employed, label: employment type} + - {column: J, row: 3076, expected_value: Value, label: measure} + - {column: L, row: 3077, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3080 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3080, expected_value: N92000002, label: geography} + - {column: D, row: 3080, expected_value: All persons, label: sex} + - {column: E, row: 3080, expected_value: Self-employed, label: employment type} + - {column: J, row: 3080, expected_value: Value, label: measure} + - {column: L, row: 3081, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3082 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3082, expected_value: N92000002, label: geography} + - {column: D, row: 3082, expected_value: All persons, label: sex} + - {column: E, row: 3082, expected_value: Self-employed, label: employment type} + - {column: J, row: 3082, expected_value: Value, label: measure} + - {column: L, row: 3083, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3086 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3086, expected_value: N92000002, label: geography} + - {column: D, row: 3086, expected_value: All persons, label: sex} + - {column: E, row: 3086, expected_value: Self-employed, label: employment type} + - {column: J, row: 3086, expected_value: Value, label: measure} + - {column: L, row: 3087, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3088 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3088, expected_value: N92000002, label: geography} + - {column: D, row: 3088, expected_value: All persons, label: sex} + - {column: E, row: 3088, expected_value: Self-employed, label: employment type} + - {column: J, row: 3088, expected_value: Value, label: measure} + - {column: L, row: 3089, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3090 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3090, expected_value: N92000002, label: geography} + - {column: D, row: 3090, expected_value: All persons, label: sex} + - {column: E, row: 3090, expected_value: Self-employed, label: employment type} + - {column: J, row: 3090, expected_value: Value, label: measure} + - {column: L, row: 3091, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3092 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3092, expected_value: N92000002, label: geography} + - {column: D, row: 3092, expected_value: All persons, label: sex} + - {column: E, row: 3092, expected_value: Self-employed, label: employment type} + - {column: J, row: 3092, expected_value: Value, label: measure} + - {column: L, row: 3093, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3094 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3094, expected_value: N92000002, label: geography} + - {column: D, row: 3094, expected_value: All persons, label: sex} + - {column: E, row: 3094, expected_value: Self-employed, label: employment type} + - {column: J, row: 3094, expected_value: Value, label: measure} + - {column: L, row: 3095, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3096 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3096, expected_value: N92000002, label: geography} + - {column: D, row: 3096, expected_value: All persons, label: sex} + - {column: E, row: 3096, expected_value: Self-employed, label: employment type} + - {column: J, row: 3096, expected_value: Value, label: measure} + - {column: L, row: 3097, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3027 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3027, expected_value: N92000002, label: geography} + - {column: D, row: 3027, expected_value: All persons, label: sex} + - {column: E, row: 3027, expected_value: Self-employed, label: employment type} + - {column: J, row: 3027, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3029 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3029, expected_value: N92000002, label: geography} + - {column: D, row: 3029, expected_value: All persons, label: sex} + - {column: E, row: 3029, expected_value: Self-employed, label: employment type} + - {column: J, row: 3029, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3031 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3031, expected_value: N92000002, label: geography} + - {column: D, row: 3031, expected_value: All persons, label: sex} + - {column: E, row: 3031, expected_value: Self-employed, label: employment type} + - {column: J, row: 3031, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3033 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3033, expected_value: N92000002, label: geography} + - {column: D, row: 3033, expected_value: All persons, label: sex} + - {column: E, row: 3033, expected_value: Self-employed, label: employment type} + - {column: J, row: 3033, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3035 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3035, expected_value: N92000002, label: geography} + - {column: D, row: 3035, expected_value: All persons, label: sex} + - {column: E, row: 3035, expected_value: Self-employed, label: employment type} + - {column: J, row: 3035, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3037 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3037, expected_value: N92000002, label: geography} + - {column: D, row: 3037, expected_value: All persons, label: sex} + - {column: E, row: 3037, expected_value: Self-employed, label: employment type} + - {column: J, row: 3037, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3039 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3039, expected_value: N92000002, label: geography} + - {column: D, row: 3039, expected_value: All persons, label: sex} + - {column: E, row: 3039, expected_value: Self-employed, label: employment type} + - {column: J, row: 3039, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3041 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3041, expected_value: N92000002, label: geography} + - {column: D, row: 3041, expected_value: All persons, label: sex} + - {column: E, row: 3041, expected_value: Self-employed, label: employment type} + - {column: J, row: 3041, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3043 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3043, expected_value: N92000002, label: geography} + - {column: D, row: 3043, expected_value: All persons, label: sex} + - {column: E, row: 3043, expected_value: Self-employed, label: employment type} + - {column: J, row: 3043, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3045 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3045, expected_value: N92000002, label: geography} + - {column: D, row: 3045, expected_value: All persons, label: sex} + - {column: E, row: 3045, expected_value: Self-employed, label: employment type} + - {column: J, row: 3045, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3053 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3053, expected_value: N92000002, label: geography} + - {column: D, row: 3053, expected_value: All persons, label: sex} + - {column: E, row: 3053, expected_value: Self-employed, label: employment type} + - {column: J, row: 3053, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3055 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3055, expected_value: N92000002, label: geography} + - {column: D, row: 3055, expected_value: All persons, label: sex} + - {column: E, row: 3055, expected_value: Self-employed, label: employment type} + - {column: J, row: 3055, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3063 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3063, expected_value: N92000002, label: geography} + - {column: D, row: 3063, expected_value: All persons, label: sex} + - {column: E, row: 3063, expected_value: Self-employed, label: employment type} + - {column: J, row: 3063, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3065 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3065, expected_value: N92000002, label: geography} + - {column: D, row: 3065, expected_value: All persons, label: sex} + - {column: E, row: 3065, expected_value: Self-employed, label: employment type} + - {column: J, row: 3065, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3067 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3067, expected_value: N92000002, label: geography} + - {column: D, row: 3067, expected_value: All persons, label: sex} + - {column: E, row: 3067, expected_value: Self-employed, label: employment type} + - {column: J, row: 3067, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3069 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3069, expected_value: N92000002, label: geography} + - {column: D, row: 3069, expected_value: All persons, label: sex} + - {column: E, row: 3069, expected_value: Self-employed, label: employment type} + - {column: J, row: 3069, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3071 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3071, expected_value: N92000002, label: geography} + - {column: D, row: 3071, expected_value: All persons, label: sex} + - {column: E, row: 3071, expected_value: Self-employed, label: employment type} + - {column: J, row: 3071, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3073 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3073, expected_value: N92000002, label: geography} + - {column: D, row: 3073, expected_value: All persons, label: sex} + - {column: E, row: 3073, expected_value: Self-employed, label: employment type} + - {column: J, row: 3073, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3075 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3075, expected_value: N92000002, label: geography} + - {column: D, row: 3075, expected_value: All persons, label: sex} + - {column: E, row: 3075, expected_value: Self-employed, label: employment type} + - {column: J, row: 3075, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3077 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3077, expected_value: N92000002, label: geography} + - {column: D, row: 3077, expected_value: All persons, label: sex} + - {column: E, row: 3077, expected_value: Self-employed, label: employment type} + - {column: J, row: 3077, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3081 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3081, expected_value: N92000002, label: geography} + - {column: D, row: 3081, expected_value: All persons, label: sex} + - {column: E, row: 3081, expected_value: Self-employed, label: employment type} + - {column: J, row: 3081, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3083 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3083, expected_value: N92000002, label: geography} + - {column: D, row: 3083, expected_value: All persons, label: sex} + - {column: E, row: 3083, expected_value: Self-employed, label: employment type} + - {column: J, row: 3083, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3087 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3087, expected_value: N92000002, label: geography} + - {column: D, row: 3087, expected_value: All persons, label: sex} + - {column: E, row: 3087, expected_value: Self-employed, label: employment type} + - {column: J, row: 3087, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3091 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3091, expected_value: N92000002, label: geography} + - {column: D, row: 3091, expected_value: All persons, label: sex} + - {column: E, row: 3091, expected_value: Self-employed, label: employment type} + - {column: J, row: 3091, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3093 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3093, expected_value: N92000002, label: geography} + - {column: D, row: 3093, expected_value: All persons, label: sex} + - {column: E, row: 3093, expected_value: Self-employed, label: employment type} + - {column: J, row: 3093, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3095 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3095, expected_value: N92000002, label: geography} + - {column: D, row: 3095, expected_value: All persons, label: sex} + - {column: E, row: 3095, expected_value: Self-employed, label: employment type} + - {column: J, row: 3095, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2666 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2666, expected_value: N92000002, label: geography} + - {column: D, row: 2666, expected_value: Males, label: sex} + - {column: E, row: 2666, expected_value: Total, label: employment type} + - {column: J, row: 2666, expected_value: Value, label: measure} + - {column: L, row: 2667, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2668 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2668, expected_value: N92000002, label: geography} + - {column: D, row: 2668, expected_value: Males, label: sex} + - {column: E, row: 2668, expected_value: Total, label: employment type} + - {column: J, row: 2668, expected_value: Value, label: measure} + - {column: L, row: 2669, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2670 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2670, expected_value: N92000002, label: geography} + - {column: D, row: 2670, expected_value: Males, label: sex} + - {column: E, row: 2670, expected_value: Total, label: employment type} + - {column: J, row: 2670, expected_value: Value, label: measure} + - {column: L, row: 2671, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2672 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2672, expected_value: N92000002, label: geography} + - {column: D, row: 2672, expected_value: Males, label: sex} + - {column: E, row: 2672, expected_value: Total, label: employment type} + - {column: J, row: 2672, expected_value: Value, label: measure} + - {column: L, row: 2673, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2674 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2674, expected_value: N92000002, label: geography} + - {column: D, row: 2674, expected_value: Males, label: sex} + - {column: E, row: 2674, expected_value: Total, label: employment type} + - {column: J, row: 2674, expected_value: Value, label: measure} + - {column: L, row: 2675, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2676 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2676, expected_value: N92000002, label: geography} + - {column: D, row: 2676, expected_value: Males, label: sex} + - {column: E, row: 2676, expected_value: Total, label: employment type} + - {column: J, row: 2676, expected_value: Value, label: measure} + - {column: L, row: 2677, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2678 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2678, expected_value: N92000002, label: geography} + - {column: D, row: 2678, expected_value: Males, label: sex} + - {column: E, row: 2678, expected_value: Total, label: employment type} + - {column: J, row: 2678, expected_value: Value, label: measure} + - {column: L, row: 2679, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2680 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2680, expected_value: N92000002, label: geography} + - {column: D, row: 2680, expected_value: Males, label: sex} + - {column: E, row: 2680, expected_value: Total, label: employment type} + - {column: J, row: 2680, expected_value: Value, label: measure} + - {column: L, row: 2681, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2682 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2682, expected_value: N92000002, label: geography} + - {column: D, row: 2682, expected_value: Males, label: sex} + - {column: E, row: 2682, expected_value: Total, label: employment type} + - {column: J, row: 2682, expected_value: Value, label: measure} + - {column: L, row: 2683, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2684 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2684, expected_value: N92000002, label: geography} + - {column: D, row: 2684, expected_value: Males, label: sex} + - {column: E, row: 2684, expected_value: Total, label: employment type} + - {column: J, row: 2684, expected_value: Value, label: measure} + - {column: L, row: 2685, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2686 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2686, expected_value: N92000002, label: geography} + - {column: D, row: 2686, expected_value: Males, label: sex} + - {column: E, row: 2686, expected_value: Total, label: employment type} + - {column: J, row: 2686, expected_value: Value, label: measure} + - {column: L, row: 2687, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2688 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2688, expected_value: N92000002, label: geography} + - {column: D, row: 2688, expected_value: Males, label: sex} + - {column: E, row: 2688, expected_value: Total, label: employment type} + - {column: J, row: 2688, expected_value: Value, label: measure} + - {column: L, row: 2689, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2690 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2690, expected_value: N92000002, label: geography} + - {column: D, row: 2690, expected_value: Males, label: sex} + - {column: E, row: 2690, expected_value: Total, label: employment type} + - {column: J, row: 2690, expected_value: Value, label: measure} + - {column: L, row: 2691, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2692 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2692, expected_value: N92000002, label: geography} + - {column: D, row: 2692, expected_value: Males, label: sex} + - {column: E, row: 2692, expected_value: Total, label: employment type} + - {column: J, row: 2692, expected_value: Value, label: measure} + - {column: L, row: 2693, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2694 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2694, expected_value: N92000002, label: geography} + - {column: D, row: 2694, expected_value: Males, label: sex} + - {column: E, row: 2694, expected_value: Total, label: employment type} + - {column: J, row: 2694, expected_value: Value, label: measure} + - {column: L, row: 2695, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2696 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2696, expected_value: N92000002, label: geography} + - {column: D, row: 2696, expected_value: Males, label: sex} + - {column: E, row: 2696, expected_value: Total, label: employment type} + - {column: J, row: 2696, expected_value: Value, label: measure} + - {column: L, row: 2697, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2698 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2698, expected_value: N92000002, label: geography} + - {column: D, row: 2698, expected_value: Males, label: sex} + - {column: E, row: 2698, expected_value: Total, label: employment type} + - {column: J, row: 2698, expected_value: Value, label: measure} + - {column: L, row: 2699, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2700 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2700, expected_value: N92000002, label: geography} + - {column: D, row: 2700, expected_value: Males, label: sex} + - {column: E, row: 2700, expected_value: Total, label: employment type} + - {column: J, row: 2700, expected_value: Value, label: measure} + - {column: L, row: 2701, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2702 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2702, expected_value: N92000002, label: geography} + - {column: D, row: 2702, expected_value: Males, label: sex} + - {column: E, row: 2702, expected_value: Total, label: employment type} + - {column: J, row: 2702, expected_value: Value, label: measure} + - {column: L, row: 2703, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2704 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2704, expected_value: N92000002, label: geography} + - {column: D, row: 2704, expected_value: Males, label: sex} + - {column: E, row: 2704, expected_value: Total, label: employment type} + - {column: J, row: 2704, expected_value: Value, label: measure} + - {column: L, row: 2705, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2706 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2706, expected_value: N92000002, label: geography} + - {column: D, row: 2706, expected_value: Males, label: sex} + - {column: E, row: 2706, expected_value: Total, label: employment type} + - {column: J, row: 2706, expected_value: Value, label: measure} + - {column: L, row: 2707, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2708 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2708, expected_value: N92000002, label: geography} + - {column: D, row: 2708, expected_value: Males, label: sex} + - {column: E, row: 2708, expected_value: Total, label: employment type} + - {column: J, row: 2708, expected_value: Value, label: measure} + - {column: L, row: 2709, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2710 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2710, expected_value: N92000002, label: geography} + - {column: D, row: 2710, expected_value: Males, label: sex} + - {column: E, row: 2710, expected_value: Total, label: employment type} + - {column: J, row: 2710, expected_value: Value, label: measure} + - {column: L, row: 2711, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2712 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2712, expected_value: N92000002, label: geography} + - {column: D, row: 2712, expected_value: Males, label: sex} + - {column: E, row: 2712, expected_value: Total, label: employment type} + - {column: J, row: 2712, expected_value: Value, label: measure} + - {column: L, row: 2713, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2714 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2714, expected_value: N92000002, label: geography} + - {column: D, row: 2714, expected_value: Males, label: sex} + - {column: E, row: 2714, expected_value: Total, label: employment type} + - {column: J, row: 2714, expected_value: Value, label: measure} + - {column: L, row: 2715, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2716 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2716, expected_value: N92000002, label: geography} + - {column: D, row: 2716, expected_value: Males, label: sex} + - {column: E, row: 2716, expected_value: Total, label: employment type} + - {column: J, row: 2716, expected_value: Value, label: measure} + - {column: L, row: 2717, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2720 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2720, expected_value: N92000002, label: geography} + - {column: D, row: 2720, expected_value: Males, label: sex} + - {column: E, row: 2720, expected_value: Total, label: employment type} + - {column: J, row: 2720, expected_value: Value, label: measure} + - {column: L, row: 2721, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2722 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2722, expected_value: N92000002, label: geography} + - {column: D, row: 2722, expected_value: Males, label: sex} + - {column: E, row: 2722, expected_value: Total, label: employment type} + - {column: J, row: 2722, expected_value: Value, label: measure} + - {column: L, row: 2723, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2724 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2724, expected_value: N92000002, label: geography} + - {column: D, row: 2724, expected_value: Males, label: sex} + - {column: E, row: 2724, expected_value: Total, label: employment type} + - {column: J, row: 2724, expected_value: Value, label: measure} + - {column: L, row: 2725, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2726 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2726, expected_value: N92000002, label: geography} + - {column: D, row: 2726, expected_value: Males, label: sex} + - {column: E, row: 2726, expected_value: Total, label: employment type} + - {column: J, row: 2726, expected_value: Value, label: measure} + - {column: L, row: 2727, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2728 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2728, expected_value: N92000002, label: geography} + - {column: D, row: 2728, expected_value: Males, label: sex} + - {column: E, row: 2728, expected_value: Total, label: employment type} + - {column: J, row: 2728, expected_value: Value, label: measure} + - {column: L, row: 2729, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2730 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2730, expected_value: N92000002, label: geography} + - {column: D, row: 2730, expected_value: Males, label: sex} + - {column: E, row: 2730, expected_value: Total, label: employment type} + - {column: J, row: 2730, expected_value: Value, label: measure} + - {column: L, row: 2731, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2732 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2732, expected_value: N92000002, label: geography} + - {column: D, row: 2732, expected_value: Males, label: sex} + - {column: E, row: 2732, expected_value: Total, label: employment type} + - {column: J, row: 2732, expected_value: Value, label: measure} + - {column: L, row: 2733, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2734 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2734, expected_value: N92000002, label: geography} + - {column: D, row: 2734, expected_value: Males, label: sex} + - {column: E, row: 2734, expected_value: Total, label: employment type} + - {column: J, row: 2734, expected_value: Value, label: measure} + - {column: L, row: 2735, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2736 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2736, expected_value: N92000002, label: geography} + - {column: D, row: 2736, expected_value: Males, label: sex} + - {column: E, row: 2736, expected_value: Total, label: employment type} + - {column: J, row: 2736, expected_value: Value, label: measure} + - {column: L, row: 2737, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2667 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2667, expected_value: N92000002, label: geography} + - {column: D, row: 2667, expected_value: Males, label: sex} + - {column: E, row: 2667, expected_value: Total, label: employment type} + - {column: J, row: 2667, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2669 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2669, expected_value: N92000002, label: geography} + - {column: D, row: 2669, expected_value: Males, label: sex} + - {column: E, row: 2669, expected_value: Total, label: employment type} + - {column: J, row: 2669, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2671 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2671, expected_value: N92000002, label: geography} + - {column: D, row: 2671, expected_value: Males, label: sex} + - {column: E, row: 2671, expected_value: Total, label: employment type} + - {column: J, row: 2671, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2673 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2673, expected_value: N92000002, label: geography} + - {column: D, row: 2673, expected_value: Males, label: sex} + - {column: E, row: 2673, expected_value: Total, label: employment type} + - {column: J, row: 2673, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2675 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2675, expected_value: N92000002, label: geography} + - {column: D, row: 2675, expected_value: Males, label: sex} + - {column: E, row: 2675, expected_value: Total, label: employment type} + - {column: J, row: 2675, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2677 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2677, expected_value: N92000002, label: geography} + - {column: D, row: 2677, expected_value: Males, label: sex} + - {column: E, row: 2677, expected_value: Total, label: employment type} + - {column: J, row: 2677, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2679 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2679, expected_value: N92000002, label: geography} + - {column: D, row: 2679, expected_value: Males, label: sex} + - {column: E, row: 2679, expected_value: Total, label: employment type} + - {column: J, row: 2679, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2681 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2681, expected_value: N92000002, label: geography} + - {column: D, row: 2681, expected_value: Males, label: sex} + - {column: E, row: 2681, expected_value: Total, label: employment type} + - {column: J, row: 2681, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2683 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2683, expected_value: N92000002, label: geography} + - {column: D, row: 2683, expected_value: Males, label: sex} + - {column: E, row: 2683, expected_value: Total, label: employment type} + - {column: J, row: 2683, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2685 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2685, expected_value: N92000002, label: geography} + - {column: D, row: 2685, expected_value: Males, label: sex} + - {column: E, row: 2685, expected_value: Total, label: employment type} + - {column: J, row: 2685, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2687 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2687, expected_value: N92000002, label: geography} + - {column: D, row: 2687, expected_value: Males, label: sex} + - {column: E, row: 2687, expected_value: Total, label: employment type} + - {column: J, row: 2687, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2689 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2689, expected_value: N92000002, label: geography} + - {column: D, row: 2689, expected_value: Males, label: sex} + - {column: E, row: 2689, expected_value: Total, label: employment type} + - {column: J, row: 2689, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2691 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2691, expected_value: N92000002, label: geography} + - {column: D, row: 2691, expected_value: Males, label: sex} + - {column: E, row: 2691, expected_value: Total, label: employment type} + - {column: J, row: 2691, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2693 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2693, expected_value: N92000002, label: geography} + - {column: D, row: 2693, expected_value: Males, label: sex} + - {column: E, row: 2693, expected_value: Total, label: employment type} + - {column: J, row: 2693, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2695 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2695, expected_value: N92000002, label: geography} + - {column: D, row: 2695, expected_value: Males, label: sex} + - {column: E, row: 2695, expected_value: Total, label: employment type} + - {column: J, row: 2695, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2697 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2697, expected_value: N92000002, label: geography} + - {column: D, row: 2697, expected_value: Males, label: sex} + - {column: E, row: 2697, expected_value: Total, label: employment type} + - {column: J, row: 2697, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2699 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2699, expected_value: N92000002, label: geography} + - {column: D, row: 2699, expected_value: Males, label: sex} + - {column: E, row: 2699, expected_value: Total, label: employment type} + - {column: J, row: 2699, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2703 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2703, expected_value: N92000002, label: geography} + - {column: D, row: 2703, expected_value: Males, label: sex} + - {column: E, row: 2703, expected_value: Total, label: employment type} + - {column: J, row: 2703, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2705 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2705, expected_value: N92000002, label: geography} + - {column: D, row: 2705, expected_value: Males, label: sex} + - {column: E, row: 2705, expected_value: Total, label: employment type} + - {column: J, row: 2705, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2707 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2707, expected_value: N92000002, label: geography} + - {column: D, row: 2707, expected_value: Males, label: sex} + - {column: E, row: 2707, expected_value: Total, label: employment type} + - {column: J, row: 2707, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2709 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2709, expected_value: N92000002, label: geography} + - {column: D, row: 2709, expected_value: Males, label: sex} + - {column: E, row: 2709, expected_value: Total, label: employment type} + - {column: J, row: 2709, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2711 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2711, expected_value: N92000002, label: geography} + - {column: D, row: 2711, expected_value: Males, label: sex} + - {column: E, row: 2711, expected_value: Total, label: employment type} + - {column: J, row: 2711, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2713 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2713, expected_value: N92000002, label: geography} + - {column: D, row: 2713, expected_value: Males, label: sex} + - {column: E, row: 2713, expected_value: Total, label: employment type} + - {column: J, row: 2713, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2715 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2715, expected_value: N92000002, label: geography} + - {column: D, row: 2715, expected_value: Males, label: sex} + - {column: E, row: 2715, expected_value: Total, label: employment type} + - {column: J, row: 2715, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2717 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2717, expected_value: N92000002, label: geography} + - {column: D, row: 2717, expected_value: Males, label: sex} + - {column: E, row: 2717, expected_value: Total, label: employment type} + - {column: J, row: 2717, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2721 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2721, expected_value: N92000002, label: geography} + - {column: D, row: 2721, expected_value: Males, label: sex} + - {column: E, row: 2721, expected_value: Total, label: employment type} + - {column: J, row: 2721, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2723 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2723, expected_value: N92000002, label: geography} + - {column: D, row: 2723, expected_value: Males, label: sex} + - {column: E, row: 2723, expected_value: Total, label: employment type} + - {column: J, row: 2723, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2725 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2725, expected_value: N92000002, label: geography} + - {column: D, row: 2725, expected_value: Males, label: sex} + - {column: E, row: 2725, expected_value: Total, label: employment type} + - {column: J, row: 2725, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2727 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2727, expected_value: N92000002, label: geography} + - {column: D, row: 2727, expected_value: Males, label: sex} + - {column: E, row: 2727, expected_value: Total, label: employment type} + - {column: J, row: 2727, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2729 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2729, expected_value: N92000002, label: geography} + - {column: D, row: 2729, expected_value: Males, label: sex} + - {column: E, row: 2729, expected_value: Total, label: employment type} + - {column: J, row: 2729, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2731 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2731, expected_value: N92000002, label: geography} + - {column: D, row: 2731, expected_value: Males, label: sex} + - {column: E, row: 2731, expected_value: Total, label: employment type} + - {column: J, row: 2731, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2733 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2733, expected_value: N92000002, label: geography} + - {column: D, row: 2733, expected_value: Males, label: sex} + - {column: E, row: 2733, expected_value: Total, label: employment type} + - {column: J, row: 2733, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2735 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2735, expected_value: N92000002, label: geography} + - {column: D, row: 2735, expected_value: Males, label: sex} + - {column: E, row: 2735, expected_value: Total, label: employment type} + - {column: J, row: 2735, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2737 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2737, expected_value: N92000002, label: geography} + - {column: D, row: 2737, expected_value: Males, label: sex} + - {column: E, row: 2737, expected_value: Total, label: employment type} + - {column: J, row: 2737, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2882 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2882, expected_value: N92000002, label: geography} + - {column: D, row: 2882, expected_value: Males, label: sex} + - {column: E, row: 2882, expected_value: Employee, label: employment type} + - {column: J, row: 2882, expected_value: Value, label: measure} + - {column: L, row: 2883, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2884 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2884, expected_value: N92000002, label: geography} + - {column: D, row: 2884, expected_value: Males, label: sex} + - {column: E, row: 2884, expected_value: Employee, label: employment type} + - {column: J, row: 2884, expected_value: Value, label: measure} + - {column: L, row: 2885, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2886 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2886, expected_value: N92000002, label: geography} + - {column: D, row: 2886, expected_value: Males, label: sex} + - {column: E, row: 2886, expected_value: Employee, label: employment type} + - {column: J, row: 2886, expected_value: Value, label: measure} + - {column: L, row: 2887, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2888 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2888, expected_value: N92000002, label: geography} + - {column: D, row: 2888, expected_value: Males, label: sex} + - {column: E, row: 2888, expected_value: Employee, label: employment type} + - {column: J, row: 2888, expected_value: Value, label: measure} + - {column: L, row: 2889, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2890 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2890, expected_value: N92000002, label: geography} + - {column: D, row: 2890, expected_value: Males, label: sex} + - {column: E, row: 2890, expected_value: Employee, label: employment type} + - {column: J, row: 2890, expected_value: Value, label: measure} + - {column: L, row: 2891, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2892 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2892, expected_value: N92000002, label: geography} + - {column: D, row: 2892, expected_value: Males, label: sex} + - {column: E, row: 2892, expected_value: Employee, label: employment type} + - {column: J, row: 2892, expected_value: Value, label: measure} + - {column: L, row: 2893, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2894 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2894, expected_value: N92000002, label: geography} + - {column: D, row: 2894, expected_value: Males, label: sex} + - {column: E, row: 2894, expected_value: Employee, label: employment type} + - {column: J, row: 2894, expected_value: Value, label: measure} + - {column: L, row: 2895, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2896 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2896, expected_value: N92000002, label: geography} + - {column: D, row: 2896, expected_value: Males, label: sex} + - {column: E, row: 2896, expected_value: Employee, label: employment type} + - {column: J, row: 2896, expected_value: Value, label: measure} + - {column: L, row: 2897, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2898 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2898, expected_value: N92000002, label: geography} + - {column: D, row: 2898, expected_value: Males, label: sex} + - {column: E, row: 2898, expected_value: Employee, label: employment type} + - {column: J, row: 2898, expected_value: Value, label: measure} + - {column: L, row: 2899, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2900 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2900, expected_value: N92000002, label: geography} + - {column: D, row: 2900, expected_value: Males, label: sex} + - {column: E, row: 2900, expected_value: Employee, label: employment type} + - {column: J, row: 2900, expected_value: Value, label: measure} + - {column: L, row: 2901, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2902 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2902, expected_value: N92000002, label: geography} + - {column: D, row: 2902, expected_value: Males, label: sex} + - {column: E, row: 2902, expected_value: Employee, label: employment type} + - {column: J, row: 2902, expected_value: Value, label: measure} + - {column: L, row: 2903, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2904 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2904, expected_value: N92000002, label: geography} + - {column: D, row: 2904, expected_value: Males, label: sex} + - {column: E, row: 2904, expected_value: Employee, label: employment type} + - {column: J, row: 2904, expected_value: Value, label: measure} + - {column: L, row: 2905, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2906 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2906, expected_value: N92000002, label: geography} + - {column: D, row: 2906, expected_value: Males, label: sex} + - {column: E, row: 2906, expected_value: Employee, label: employment type} + - {column: J, row: 2906, expected_value: Value, label: measure} + - {column: L, row: 2907, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2908 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2908, expected_value: N92000002, label: geography} + - {column: D, row: 2908, expected_value: Males, label: sex} + - {column: E, row: 2908, expected_value: Employee, label: employment type} + - {column: J, row: 2908, expected_value: Value, label: measure} + - {column: L, row: 2909, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2910 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2910, expected_value: N92000002, label: geography} + - {column: D, row: 2910, expected_value: Males, label: sex} + - {column: E, row: 2910, expected_value: Employee, label: employment type} + - {column: J, row: 2910, expected_value: Value, label: measure} + - {column: L, row: 2911, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2912 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2912, expected_value: N92000002, label: geography} + - {column: D, row: 2912, expected_value: Males, label: sex} + - {column: E, row: 2912, expected_value: Employee, label: employment type} + - {column: J, row: 2912, expected_value: Value, label: measure} + - {column: L, row: 2913, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2914 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2914, expected_value: N92000002, label: geography} + - {column: D, row: 2914, expected_value: Males, label: sex} + - {column: E, row: 2914, expected_value: Employee, label: employment type} + - {column: J, row: 2914, expected_value: Value, label: measure} + - {column: L, row: 2915, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2916 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2916, expected_value: N92000002, label: geography} + - {column: D, row: 2916, expected_value: Males, label: sex} + - {column: E, row: 2916, expected_value: Employee, label: employment type} + - {column: J, row: 2916, expected_value: Value, label: measure} + - {column: L, row: 2917, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2918 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2918, expected_value: N92000002, label: geography} + - {column: D, row: 2918, expected_value: Males, label: sex} + - {column: E, row: 2918, expected_value: Employee, label: employment type} + - {column: J, row: 2918, expected_value: Value, label: measure} + - {column: L, row: 2919, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2920 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2920, expected_value: N92000002, label: geography} + - {column: D, row: 2920, expected_value: Males, label: sex} + - {column: E, row: 2920, expected_value: Employee, label: employment type} + - {column: J, row: 2920, expected_value: Value, label: measure} + - {column: L, row: 2921, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2922 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2922, expected_value: N92000002, label: geography} + - {column: D, row: 2922, expected_value: Males, label: sex} + - {column: E, row: 2922, expected_value: Employee, label: employment type} + - {column: J, row: 2922, expected_value: Value, label: measure} + - {column: L, row: 2923, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2924 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2924, expected_value: N92000002, label: geography} + - {column: D, row: 2924, expected_value: Males, label: sex} + - {column: E, row: 2924, expected_value: Employee, label: employment type} + - {column: J, row: 2924, expected_value: Value, label: measure} + - {column: L, row: 2925, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2926 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2926, expected_value: N92000002, label: geography} + - {column: D, row: 2926, expected_value: Males, label: sex} + - {column: E, row: 2926, expected_value: Employee, label: employment type} + - {column: J, row: 2926, expected_value: Value, label: measure} + - {column: L, row: 2927, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2928 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2928, expected_value: N92000002, label: geography} + - {column: D, row: 2928, expected_value: Males, label: sex} + - {column: E, row: 2928, expected_value: Employee, label: employment type} + - {column: J, row: 2928, expected_value: Value, label: measure} + - {column: L, row: 2929, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2930 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2930, expected_value: N92000002, label: geography} + - {column: D, row: 2930, expected_value: Males, label: sex} + - {column: E, row: 2930, expected_value: Employee, label: employment type} + - {column: J, row: 2930, expected_value: Value, label: measure} + - {column: L, row: 2931, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2932 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2932, expected_value: N92000002, label: geography} + - {column: D, row: 2932, expected_value: Males, label: sex} + - {column: E, row: 2932, expected_value: Employee, label: employment type} + - {column: J, row: 2932, expected_value: Value, label: measure} + - {column: L, row: 2933, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2936 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2936, expected_value: N92000002, label: geography} + - {column: D, row: 2936, expected_value: Males, label: sex} + - {column: E, row: 2936, expected_value: Employee, label: employment type} + - {column: J, row: 2936, expected_value: Value, label: measure} + - {column: L, row: 2937, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2938 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2938, expected_value: N92000002, label: geography} + - {column: D, row: 2938, expected_value: Males, label: sex} + - {column: E, row: 2938, expected_value: Employee, label: employment type} + - {column: J, row: 2938, expected_value: Value, label: measure} + - {column: L, row: 2939, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2940 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2940, expected_value: N92000002, label: geography} + - {column: D, row: 2940, expected_value: Males, label: sex} + - {column: E, row: 2940, expected_value: Employee, label: employment type} + - {column: J, row: 2940, expected_value: Value, label: measure} + - {column: L, row: 2941, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2942 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2942, expected_value: N92000002, label: geography} + - {column: D, row: 2942, expected_value: Males, label: sex} + - {column: E, row: 2942, expected_value: Employee, label: employment type} + - {column: J, row: 2942, expected_value: Value, label: measure} + - {column: L, row: 2943, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2944 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2944, expected_value: N92000002, label: geography} + - {column: D, row: 2944, expected_value: Males, label: sex} + - {column: E, row: 2944, expected_value: Employee, label: employment type} + - {column: J, row: 2944, expected_value: Value, label: measure} + - {column: L, row: 2945, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2946 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2946, expected_value: N92000002, label: geography} + - {column: D, row: 2946, expected_value: Males, label: sex} + - {column: E, row: 2946, expected_value: Employee, label: employment type} + - {column: J, row: 2946, expected_value: Value, label: measure} + - {column: L, row: 2947, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2948 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2948, expected_value: N92000002, label: geography} + - {column: D, row: 2948, expected_value: Males, label: sex} + - {column: E, row: 2948, expected_value: Employee, label: employment type} + - {column: J, row: 2948, expected_value: Value, label: measure} + - {column: L, row: 2949, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2950 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2950, expected_value: N92000002, label: geography} + - {column: D, row: 2950, expected_value: Males, label: sex} + - {column: E, row: 2950, expected_value: Employee, label: employment type} + - {column: J, row: 2950, expected_value: Value, label: measure} + - {column: L, row: 2951, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2952 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2952, expected_value: N92000002, label: geography} + - {column: D, row: 2952, expected_value: Males, label: sex} + - {column: E, row: 2952, expected_value: Employee, label: employment type} + - {column: J, row: 2952, expected_value: Value, label: measure} + - {column: L, row: 2953, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2883 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2883, expected_value: N92000002, label: geography} + - {column: D, row: 2883, expected_value: Males, label: sex} + - {column: E, row: 2883, expected_value: Employee, label: employment type} + - {column: J, row: 2883, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2885 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2885, expected_value: N92000002, label: geography} + - {column: D, row: 2885, expected_value: Males, label: sex} + - {column: E, row: 2885, expected_value: Employee, label: employment type} + - {column: J, row: 2885, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2887 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2887, expected_value: N92000002, label: geography} + - {column: D, row: 2887, expected_value: Males, label: sex} + - {column: E, row: 2887, expected_value: Employee, label: employment type} + - {column: J, row: 2887, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2889 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2889, expected_value: N92000002, label: geography} + - {column: D, row: 2889, expected_value: Males, label: sex} + - {column: E, row: 2889, expected_value: Employee, label: employment type} + - {column: J, row: 2889, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2891 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2891, expected_value: N92000002, label: geography} + - {column: D, row: 2891, expected_value: Males, label: sex} + - {column: E, row: 2891, expected_value: Employee, label: employment type} + - {column: J, row: 2891, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2893 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2893, expected_value: N92000002, label: geography} + - {column: D, row: 2893, expected_value: Males, label: sex} + - {column: E, row: 2893, expected_value: Employee, label: employment type} + - {column: J, row: 2893, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2895 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2895, expected_value: N92000002, label: geography} + - {column: D, row: 2895, expected_value: Males, label: sex} + - {column: E, row: 2895, expected_value: Employee, label: employment type} + - {column: J, row: 2895, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2897 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2897, expected_value: N92000002, label: geography} + - {column: D, row: 2897, expected_value: Males, label: sex} + - {column: E, row: 2897, expected_value: Employee, label: employment type} + - {column: J, row: 2897, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2899 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2899, expected_value: N92000002, label: geography} + - {column: D, row: 2899, expected_value: Males, label: sex} + - {column: E, row: 2899, expected_value: Employee, label: employment type} + - {column: J, row: 2899, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2901 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2901, expected_value: N92000002, label: geography} + - {column: D, row: 2901, expected_value: Males, label: sex} + - {column: E, row: 2901, expected_value: Employee, label: employment type} + - {column: J, row: 2901, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2903 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2903, expected_value: N92000002, label: geography} + - {column: D, row: 2903, expected_value: Males, label: sex} + - {column: E, row: 2903, expected_value: Employee, label: employment type} + - {column: J, row: 2903, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2905 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2905, expected_value: N92000002, label: geography} + - {column: D, row: 2905, expected_value: Males, label: sex} + - {column: E, row: 2905, expected_value: Employee, label: employment type} + - {column: J, row: 2905, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2907 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2907, expected_value: N92000002, label: geography} + - {column: D, row: 2907, expected_value: Males, label: sex} + - {column: E, row: 2907, expected_value: Employee, label: employment type} + - {column: J, row: 2907, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2909 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2909, expected_value: N92000002, label: geography} + - {column: D, row: 2909, expected_value: Males, label: sex} + - {column: E, row: 2909, expected_value: Employee, label: employment type} + - {column: J, row: 2909, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2911 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2911, expected_value: N92000002, label: geography} + - {column: D, row: 2911, expected_value: Males, label: sex} + - {column: E, row: 2911, expected_value: Employee, label: employment type} + - {column: J, row: 2911, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2913 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2913, expected_value: N92000002, label: geography} + - {column: D, row: 2913, expected_value: Males, label: sex} + - {column: E, row: 2913, expected_value: Employee, label: employment type} + - {column: J, row: 2913, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2915 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2915, expected_value: N92000002, label: geography} + - {column: D, row: 2915, expected_value: Males, label: sex} + - {column: E, row: 2915, expected_value: Employee, label: employment type} + - {column: J, row: 2915, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2919 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2919, expected_value: N92000002, label: geography} + - {column: D, row: 2919, expected_value: Males, label: sex} + - {column: E, row: 2919, expected_value: Employee, label: employment type} + - {column: J, row: 2919, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2923 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2923, expected_value: N92000002, label: geography} + - {column: D, row: 2923, expected_value: Males, label: sex} + - {column: E, row: 2923, expected_value: Employee, label: employment type} + - {column: J, row: 2923, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 2925 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 2925, expected_value: N92000002, label: geography} + - {column: D, row: 2925, expected_value: Males, label: sex} + - {column: E, row: 2925, expected_value: Employee, label: employment type} + - {column: J, row: 2925, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2927 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2927, expected_value: N92000002, label: geography} + - {column: D, row: 2927, expected_value: Males, label: sex} + - {column: E, row: 2927, expected_value: Employee, label: employment type} + - {column: J, row: 2927, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2929 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2929, expected_value: N92000002, label: geography} + - {column: D, row: 2929, expected_value: Males, label: sex} + - {column: E, row: 2929, expected_value: Employee, label: employment type} + - {column: J, row: 2929, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2931 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2931, expected_value: N92000002, label: geography} + - {column: D, row: 2931, expected_value: Males, label: sex} + - {column: E, row: 2931, expected_value: Employee, label: employment type} + - {column: J, row: 2931, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2933 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2933, expected_value: N92000002, label: geography} + - {column: D, row: 2933, expected_value: Males, label: sex} + - {column: E, row: 2933, expected_value: Employee, label: employment type} + - {column: J, row: 2933, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2937 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2937, expected_value: N92000002, label: geography} + - {column: D, row: 2937, expected_value: Males, label: sex} + - {column: E, row: 2937, expected_value: Employee, label: employment type} + - {column: J, row: 2937, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2939 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2939, expected_value: N92000002, label: geography} + - {column: D, row: 2939, expected_value: Males, label: sex} + - {column: E, row: 2939, expected_value: Employee, label: employment type} + - {column: J, row: 2939, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2941 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2941, expected_value: N92000002, label: geography} + - {column: D, row: 2941, expected_value: Males, label: sex} + - {column: E, row: 2941, expected_value: Employee, label: employment type} + - {column: J, row: 2941, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2943 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2943, expected_value: N92000002, label: geography} + - {column: D, row: 2943, expected_value: Males, label: sex} + - {column: E, row: 2943, expected_value: Employee, label: employment type} + - {column: J, row: 2943, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2945 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2945, expected_value: N92000002, label: geography} + - {column: D, row: 2945, expected_value: Males, label: sex} + - {column: E, row: 2945, expected_value: Employee, label: employment type} + - {column: J, row: 2945, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2947 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2947, expected_value: N92000002, label: geography} + - {column: D, row: 2947, expected_value: Males, label: sex} + - {column: E, row: 2947, expected_value: Employee, label: employment type} + - {column: J, row: 2947, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2949 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2949, expected_value: N92000002, label: geography} + - {column: D, row: 2949, expected_value: Males, label: sex} + - {column: E, row: 2949, expected_value: Employee, label: employment type} + - {column: J, row: 2949, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2951 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2951, expected_value: N92000002, label: geography} + - {column: D, row: 2951, expected_value: Males, label: sex} + - {column: E, row: 2951, expected_value: Employee, label: employment type} + - {column: J, row: 2951, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2953 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2953, expected_value: N92000002, label: geography} + - {column: D, row: 2953, expected_value: Males, label: sex} + - {column: E, row: 2953, expected_value: Employee, label: employment type} + - {column: J, row: 2953, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3098 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3098, expected_value: N92000002, label: geography} + - {column: D, row: 3098, expected_value: Males, label: sex} + - {column: E, row: 3098, expected_value: Self-employed, label: employment type} + - {column: J, row: 3098, expected_value: Value, label: measure} + - {column: L, row: 3099, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3100 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3100, expected_value: N92000002, label: geography} + - {column: D, row: 3100, expected_value: Males, label: sex} + - {column: E, row: 3100, expected_value: Self-employed, label: employment type} + - {column: J, row: 3100, expected_value: Value, label: measure} + - {column: L, row: 3101, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3102 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3102, expected_value: N92000002, label: geography} + - {column: D, row: 3102, expected_value: Males, label: sex} + - {column: E, row: 3102, expected_value: Self-employed, label: employment type} + - {column: J, row: 3102, expected_value: Value, label: measure} + - {column: L, row: 3103, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3104 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3104, expected_value: N92000002, label: geography} + - {column: D, row: 3104, expected_value: Males, label: sex} + - {column: E, row: 3104, expected_value: Self-employed, label: employment type} + - {column: J, row: 3104, expected_value: Value, label: measure} + - {column: L, row: 3105, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3106 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3106, expected_value: N92000002, label: geography} + - {column: D, row: 3106, expected_value: Males, label: sex} + - {column: E, row: 3106, expected_value: Self-employed, label: employment type} + - {column: J, row: 3106, expected_value: Value, label: measure} + - {column: L, row: 3107, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3108 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3108, expected_value: N92000002, label: geography} + - {column: D, row: 3108, expected_value: Males, label: sex} + - {column: E, row: 3108, expected_value: Self-employed, label: employment type} + - {column: J, row: 3108, expected_value: Value, label: measure} + - {column: L, row: 3109, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3110 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3110, expected_value: N92000002, label: geography} + - {column: D, row: 3110, expected_value: Males, label: sex} + - {column: E, row: 3110, expected_value: Self-employed, label: employment type} + - {column: J, row: 3110, expected_value: Value, label: measure} + - {column: L, row: 3111, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3112 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3112, expected_value: N92000002, label: geography} + - {column: D, row: 3112, expected_value: Males, label: sex} + - {column: E, row: 3112, expected_value: Self-employed, label: employment type} + - {column: J, row: 3112, expected_value: Value, label: measure} + - {column: L, row: 3113, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3114 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3114, expected_value: N92000002, label: geography} + - {column: D, row: 3114, expected_value: Males, label: sex} + - {column: E, row: 3114, expected_value: Self-employed, label: employment type} + - {column: J, row: 3114, expected_value: Value, label: measure} + - {column: L, row: 3115, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3116 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3116, expected_value: N92000002, label: geography} + - {column: D, row: 3116, expected_value: Males, label: sex} + - {column: E, row: 3116, expected_value: Self-employed, label: employment type} + - {column: J, row: 3116, expected_value: Value, label: measure} + - {column: L, row: 3117, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3118 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3118, expected_value: N92000002, label: geography} + - {column: D, row: 3118, expected_value: Males, label: sex} + - {column: E, row: 3118, expected_value: Self-employed, label: employment type} + - {column: J, row: 3118, expected_value: Value, label: measure} + - {column: L, row: 3119, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3124 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3124, expected_value: N92000002, label: geography} + - {column: D, row: 3124, expected_value: Males, label: sex} + - {column: E, row: 3124, expected_value: Self-employed, label: employment type} + - {column: J, row: 3124, expected_value: Value, label: measure} + - {column: L, row: 3125, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3126 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3126, expected_value: N92000002, label: geography} + - {column: D, row: 3126, expected_value: Males, label: sex} + - {column: E, row: 3126, expected_value: Self-employed, label: employment type} + - {column: J, row: 3126, expected_value: Value, label: measure} + - {column: L, row: 3127, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3134 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3134, expected_value: N92000002, label: geography} + - {column: D, row: 3134, expected_value: Males, label: sex} + - {column: E, row: 3134, expected_value: Self-employed, label: employment type} + - {column: J, row: 3134, expected_value: Value, label: measure} + - {column: L, row: 3135, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3136 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3136, expected_value: N92000002, label: geography} + - {column: D, row: 3136, expected_value: Males, label: sex} + - {column: E, row: 3136, expected_value: Self-employed, label: employment type} + - {column: J, row: 3136, expected_value: Value, label: measure} + - {column: L, row: 3137, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3138 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3138, expected_value: N92000002, label: geography} + - {column: D, row: 3138, expected_value: Males, label: sex} + - {column: E, row: 3138, expected_value: Self-employed, label: employment type} + - {column: J, row: 3138, expected_value: Value, label: measure} + - {column: L, row: 3139, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3140 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3140, expected_value: N92000002, label: geography} + - {column: D, row: 3140, expected_value: Males, label: sex} + - {column: E, row: 3140, expected_value: Self-employed, label: employment type} + - {column: J, row: 3140, expected_value: Value, label: measure} + - {column: L, row: 3141, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3142 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3142, expected_value: N92000002, label: geography} + - {column: D, row: 3142, expected_value: Males, label: sex} + - {column: E, row: 3142, expected_value: Self-employed, label: employment type} + - {column: J, row: 3142, expected_value: Value, label: measure} + - {column: L, row: 3143, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3144 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3144, expected_value: N92000002, label: geography} + - {column: D, row: 3144, expected_value: Males, label: sex} + - {column: E, row: 3144, expected_value: Self-employed, label: employment type} + - {column: J, row: 3144, expected_value: Value, label: measure} + - {column: L, row: 3145, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3148 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3148, expected_value: N92000002, label: geography} + - {column: D, row: 3148, expected_value: Males, label: sex} + - {column: E, row: 3148, expected_value: Self-employed, label: employment type} + - {column: J, row: 3148, expected_value: Value, label: measure} + - {column: L, row: 3149, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3152 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3152, expected_value: N92000002, label: geography} + - {column: D, row: 3152, expected_value: Males, label: sex} + - {column: E, row: 3152, expected_value: Self-employed, label: employment type} + - {column: J, row: 3152, expected_value: Value, label: measure} + - {column: L, row: 3153, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3154 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3154, expected_value: N92000002, label: geography} + - {column: D, row: 3154, expected_value: Males, label: sex} + - {column: E, row: 3154, expected_value: Self-employed, label: employment type} + - {column: J, row: 3154, expected_value: Value, label: measure} + - {column: L, row: 3155, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3158 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3158, expected_value: N92000002, label: geography} + - {column: D, row: 3158, expected_value: Males, label: sex} + - {column: E, row: 3158, expected_value: Self-employed, label: employment type} + - {column: J, row: 3158, expected_value: Value, label: measure} + - {column: L, row: 3159, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3160 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3160, expected_value: N92000002, label: geography} + - {column: D, row: 3160, expected_value: Males, label: sex} + - {column: E, row: 3160, expected_value: Self-employed, label: employment type} + - {column: J, row: 3160, expected_value: Value, label: measure} + - {column: L, row: 3161, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3162 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3162, expected_value: N92000002, label: geography} + - {column: D, row: 3162, expected_value: Males, label: sex} + - {column: E, row: 3162, expected_value: Self-employed, label: employment type} + - {column: J, row: 3162, expected_value: Value, label: measure} + - {column: L, row: 3163, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3164 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3164, expected_value: N92000002, label: geography} + - {column: D, row: 3164, expected_value: Males, label: sex} + - {column: E, row: 3164, expected_value: Self-employed, label: employment type} + - {column: J, row: 3164, expected_value: Value, label: measure} + - {column: L, row: 3165, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3166 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3166, expected_value: N92000002, label: geography} + - {column: D, row: 3166, expected_value: Males, label: sex} + - {column: E, row: 3166, expected_value: Self-employed, label: employment type} + - {column: J, row: 3166, expected_value: Value, label: measure} + - {column: L, row: 3167, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3168 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3168, expected_value: N92000002, label: geography} + - {column: D, row: 3168, expected_value: Males, label: sex} + - {column: E, row: 3168, expected_value: Self-employed, label: employment type} + - {column: J, row: 3168, expected_value: Value, label: measure} + - {column: L, row: 3169, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3099 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3099, expected_value: N92000002, label: geography} + - {column: D, row: 3099, expected_value: Males, label: sex} + - {column: E, row: 3099, expected_value: Self-employed, label: employment type} + - {column: J, row: 3099, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3101 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3101, expected_value: N92000002, label: geography} + - {column: D, row: 3101, expected_value: Males, label: sex} + - {column: E, row: 3101, expected_value: Self-employed, label: employment type} + - {column: J, row: 3101, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3103 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3103, expected_value: N92000002, label: geography} + - {column: D, row: 3103, expected_value: Males, label: sex} + - {column: E, row: 3103, expected_value: Self-employed, label: employment type} + - {column: J, row: 3103, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3105 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3105, expected_value: N92000002, label: geography} + - {column: D, row: 3105, expected_value: Males, label: sex} + - {column: E, row: 3105, expected_value: Self-employed, label: employment type} + - {column: J, row: 3105, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3107 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3107, expected_value: N92000002, label: geography} + - {column: D, row: 3107, expected_value: Males, label: sex} + - {column: E, row: 3107, expected_value: Self-employed, label: employment type} + - {column: J, row: 3107, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3109 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3109, expected_value: N92000002, label: geography} + - {column: D, row: 3109, expected_value: Males, label: sex} + - {column: E, row: 3109, expected_value: Self-employed, label: employment type} + - {column: J, row: 3109, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3115 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3115, expected_value: N92000002, label: geography} + - {column: D, row: 3115, expected_value: Males, label: sex} + - {column: E, row: 3115, expected_value: Self-employed, label: employment type} + - {column: J, row: 3115, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3117 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3117, expected_value: N92000002, label: geography} + - {column: D, row: 3117, expected_value: Males, label: sex} + - {column: E, row: 3117, expected_value: Self-employed, label: employment type} + - {column: J, row: 3117, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3125 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3125, expected_value: N92000002, label: geography} + - {column: D, row: 3125, expected_value: Males, label: sex} + - {column: E, row: 3125, expected_value: Self-employed, label: employment type} + - {column: J, row: 3125, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3127 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3127, expected_value: N92000002, label: geography} + - {column: D, row: 3127, expected_value: Males, label: sex} + - {column: E, row: 3127, expected_value: Self-employed, label: employment type} + - {column: J, row: 3127, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3135 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3135, expected_value: N92000002, label: geography} + - {column: D, row: 3135, expected_value: Males, label: sex} + - {column: E, row: 3135, expected_value: Self-employed, label: employment type} + - {column: J, row: 3135, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3137 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3137, expected_value: N92000002, label: geography} + - {column: D, row: 3137, expected_value: Males, label: sex} + - {column: E, row: 3137, expected_value: Self-employed, label: employment type} + - {column: J, row: 3137, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3139 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3139, expected_value: N92000002, label: geography} + - {column: D, row: 3139, expected_value: Males, label: sex} + - {column: E, row: 3139, expected_value: Self-employed, label: employment type} + - {column: J, row: 3139, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3141 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3141, expected_value: N92000002, label: geography} + - {column: D, row: 3141, expected_value: Males, label: sex} + - {column: E, row: 3141, expected_value: Self-employed, label: employment type} + - {column: J, row: 3141, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3153 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3153, expected_value: N92000002, label: geography} + - {column: D, row: 3153, expected_value: Males, label: sex} + - {column: E, row: 3153, expected_value: Self-employed, label: employment type} + - {column: J, row: 3153, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3155 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3155, expected_value: N92000002, label: geography} + - {column: D, row: 3155, expected_value: Males, label: sex} + - {column: E, row: 3155, expected_value: Self-employed, label: employment type} + - {column: J, row: 3155, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3159 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3159, expected_value: N92000002, label: geography} + - {column: D, row: 3159, expected_value: Males, label: sex} + - {column: E, row: 3159, expected_value: Self-employed, label: employment type} + - {column: J, row: 3159, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3163 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3163, expected_value: N92000002, label: geography} + - {column: D, row: 3163, expected_value: Males, label: sex} + - {column: E, row: 3163, expected_value: Self-employed, label: employment type} + - {column: J, row: 3163, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3165 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3165, expected_value: N92000002, label: geography} + - {column: D, row: 3165, expected_value: Males, label: sex} + - {column: E, row: 3165, expected_value: Self-employed, label: employment type} + - {column: J, row: 3165, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2738 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2738, expected_value: N92000002, label: geography} + - {column: D, row: 2738, expected_value: Females, label: sex} + - {column: E, row: 2738, expected_value: Total, label: employment type} + - {column: J, row: 2738, expected_value: Value, label: measure} + - {column: L, row: 2739, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2740 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2740, expected_value: N92000002, label: geography} + - {column: D, row: 2740, expected_value: Females, label: sex} + - {column: E, row: 2740, expected_value: Total, label: employment type} + - {column: J, row: 2740, expected_value: Value, label: measure} + - {column: L, row: 2741, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2742 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2742, expected_value: N92000002, label: geography} + - {column: D, row: 2742, expected_value: Females, label: sex} + - {column: E, row: 2742, expected_value: Total, label: employment type} + - {column: J, row: 2742, expected_value: Value, label: measure} + - {column: L, row: 2743, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2744 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2744, expected_value: N92000002, label: geography} + - {column: D, row: 2744, expected_value: Females, label: sex} + - {column: E, row: 2744, expected_value: Total, label: employment type} + - {column: J, row: 2744, expected_value: Value, label: measure} + - {column: L, row: 2745, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2746 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2746, expected_value: N92000002, label: geography} + - {column: D, row: 2746, expected_value: Females, label: sex} + - {column: E, row: 2746, expected_value: Total, label: employment type} + - {column: J, row: 2746, expected_value: Value, label: measure} + - {column: L, row: 2747, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2748 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2748, expected_value: N92000002, label: geography} + - {column: D, row: 2748, expected_value: Females, label: sex} + - {column: E, row: 2748, expected_value: Total, label: employment type} + - {column: J, row: 2748, expected_value: Value, label: measure} + - {column: L, row: 2749, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2750 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2750, expected_value: N92000002, label: geography} + - {column: D, row: 2750, expected_value: Females, label: sex} + - {column: E, row: 2750, expected_value: Total, label: employment type} + - {column: J, row: 2750, expected_value: Value, label: measure} + - {column: L, row: 2751, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2752 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2752, expected_value: N92000002, label: geography} + - {column: D, row: 2752, expected_value: Females, label: sex} + - {column: E, row: 2752, expected_value: Total, label: employment type} + - {column: J, row: 2752, expected_value: Value, label: measure} + - {column: L, row: 2753, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2754 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2754, expected_value: N92000002, label: geography} + - {column: D, row: 2754, expected_value: Females, label: sex} + - {column: E, row: 2754, expected_value: Total, label: employment type} + - {column: J, row: 2754, expected_value: Value, label: measure} + - {column: L, row: 2755, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2756 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2756, expected_value: N92000002, label: geography} + - {column: D, row: 2756, expected_value: Females, label: sex} + - {column: E, row: 2756, expected_value: Total, label: employment type} + - {column: J, row: 2756, expected_value: Value, label: measure} + - {column: L, row: 2757, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2758 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2758, expected_value: N92000002, label: geography} + - {column: D, row: 2758, expected_value: Females, label: sex} + - {column: E, row: 2758, expected_value: Total, label: employment type} + - {column: J, row: 2758, expected_value: Value, label: measure} + - {column: L, row: 2759, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2760 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2760, expected_value: N92000002, label: geography} + - {column: D, row: 2760, expected_value: Females, label: sex} + - {column: E, row: 2760, expected_value: Total, label: employment type} + - {column: J, row: 2760, expected_value: Value, label: measure} + - {column: L, row: 2761, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2762 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2762, expected_value: N92000002, label: geography} + - {column: D, row: 2762, expected_value: Females, label: sex} + - {column: E, row: 2762, expected_value: Total, label: employment type} + - {column: J, row: 2762, expected_value: Value, label: measure} + - {column: L, row: 2763, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2764 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2764, expected_value: N92000002, label: geography} + - {column: D, row: 2764, expected_value: Females, label: sex} + - {column: E, row: 2764, expected_value: Total, label: employment type} + - {column: J, row: 2764, expected_value: Value, label: measure} + - {column: L, row: 2765, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2766 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2766, expected_value: N92000002, label: geography} + - {column: D, row: 2766, expected_value: Females, label: sex} + - {column: E, row: 2766, expected_value: Total, label: employment type} + - {column: J, row: 2766, expected_value: Value, label: measure} + - {column: L, row: 2767, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2768 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2768, expected_value: N92000002, label: geography} + - {column: D, row: 2768, expected_value: Females, label: sex} + - {column: E, row: 2768, expected_value: Total, label: employment type} + - {column: J, row: 2768, expected_value: Value, label: measure} + - {column: L, row: 2769, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2770 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2770, expected_value: N92000002, label: geography} + - {column: D, row: 2770, expected_value: Females, label: sex} + - {column: E, row: 2770, expected_value: Total, label: employment type} + - {column: J, row: 2770, expected_value: Value, label: measure} + - {column: L, row: 2771, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2772 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2772, expected_value: N92000002, label: geography} + - {column: D, row: 2772, expected_value: Females, label: sex} + - {column: E, row: 2772, expected_value: Total, label: employment type} + - {column: J, row: 2772, expected_value: Value, label: measure} + - {column: L, row: 2773, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2774 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2774, expected_value: N92000002, label: geography} + - {column: D, row: 2774, expected_value: Females, label: sex} + - {column: E, row: 2774, expected_value: Total, label: employment type} + - {column: J, row: 2774, expected_value: Value, label: measure} + - {column: L, row: 2775, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2776 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2776, expected_value: N92000002, label: geography} + - {column: D, row: 2776, expected_value: Females, label: sex} + - {column: E, row: 2776, expected_value: Total, label: employment type} + - {column: J, row: 2776, expected_value: Value, label: measure} + - {column: L, row: 2777, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2778 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2778, expected_value: N92000002, label: geography} + - {column: D, row: 2778, expected_value: Females, label: sex} + - {column: E, row: 2778, expected_value: Total, label: employment type} + - {column: J, row: 2778, expected_value: Value, label: measure} + - {column: L, row: 2779, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2782 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2782, expected_value: N92000002, label: geography} + - {column: D, row: 2782, expected_value: Females, label: sex} + - {column: E, row: 2782, expected_value: Total, label: employment type} + - {column: J, row: 2782, expected_value: Value, label: measure} + - {column: L, row: 2783, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2784 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2784, expected_value: N92000002, label: geography} + - {column: D, row: 2784, expected_value: Females, label: sex} + - {column: E, row: 2784, expected_value: Total, label: employment type} + - {column: J, row: 2784, expected_value: Value, label: measure} + - {column: L, row: 2785, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2786 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2786, expected_value: N92000002, label: geography} + - {column: D, row: 2786, expected_value: Females, label: sex} + - {column: E, row: 2786, expected_value: Total, label: employment type} + - {column: J, row: 2786, expected_value: Value, label: measure} + - {column: L, row: 2787, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2788 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2788, expected_value: N92000002, label: geography} + - {column: D, row: 2788, expected_value: Females, label: sex} + - {column: E, row: 2788, expected_value: Total, label: employment type} + - {column: J, row: 2788, expected_value: Value, label: measure} + - {column: L, row: 2789, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2792 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2792, expected_value: N92000002, label: geography} + - {column: D, row: 2792, expected_value: Females, label: sex} + - {column: E, row: 2792, expected_value: Total, label: employment type} + - {column: J, row: 2792, expected_value: Value, label: measure} + - {column: L, row: 2793, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2794 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2794, expected_value: N92000002, label: geography} + - {column: D, row: 2794, expected_value: Females, label: sex} + - {column: E, row: 2794, expected_value: Total, label: employment type} + - {column: J, row: 2794, expected_value: Value, label: measure} + - {column: L, row: 2795, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2796 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2796, expected_value: N92000002, label: geography} + - {column: D, row: 2796, expected_value: Females, label: sex} + - {column: E, row: 2796, expected_value: Total, label: employment type} + - {column: J, row: 2796, expected_value: Value, label: measure} + - {column: L, row: 2797, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2798 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2798, expected_value: N92000002, label: geography} + - {column: D, row: 2798, expected_value: Females, label: sex} + - {column: E, row: 2798, expected_value: Total, label: employment type} + - {column: J, row: 2798, expected_value: Value, label: measure} + - {column: L, row: 2799, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2800 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2800, expected_value: N92000002, label: geography} + - {column: D, row: 2800, expected_value: Females, label: sex} + - {column: E, row: 2800, expected_value: Total, label: employment type} + - {column: J, row: 2800, expected_value: Value, label: measure} + - {column: L, row: 2801, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 2802 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 2802, expected_value: N92000002, label: geography} + - {column: D, row: 2802, expected_value: Females, label: sex} + - {column: E, row: 2802, expected_value: Total, label: employment type} + - {column: J, row: 2802, expected_value: Value, label: measure} + - {column: L, row: 2803, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2804 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2804, expected_value: N92000002, label: geography} + - {column: D, row: 2804, expected_value: Females, label: sex} + - {column: E, row: 2804, expected_value: Total, label: employment type} + - {column: J, row: 2804, expected_value: Value, label: measure} + - {column: L, row: 2805, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2806 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2806, expected_value: N92000002, label: geography} + - {column: D, row: 2806, expected_value: Females, label: sex} + - {column: E, row: 2806, expected_value: Total, label: employment type} + - {column: J, row: 2806, expected_value: Value, label: measure} + - {column: L, row: 2807, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2808 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2808, expected_value: N92000002, label: geography} + - {column: D, row: 2808, expected_value: Females, label: sex} + - {column: E, row: 2808, expected_value: Total, label: employment type} + - {column: J, row: 2808, expected_value: Value, label: measure} + - {column: L, row: 2809, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2739 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2739, expected_value: N92000002, label: geography} + - {column: D, row: 2739, expected_value: Females, label: sex} + - {column: E, row: 2739, expected_value: Total, label: employment type} + - {column: J, row: 2739, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2741 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2741, expected_value: N92000002, label: geography} + - {column: D, row: 2741, expected_value: Females, label: sex} + - {column: E, row: 2741, expected_value: Total, label: employment type} + - {column: J, row: 2741, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2743 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2743, expected_value: N92000002, label: geography} + - {column: D, row: 2743, expected_value: Females, label: sex} + - {column: E, row: 2743, expected_value: Total, label: employment type} + - {column: J, row: 2743, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2745 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2745, expected_value: N92000002, label: geography} + - {column: D, row: 2745, expected_value: Females, label: sex} + - {column: E, row: 2745, expected_value: Total, label: employment type} + - {column: J, row: 2745, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2747 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2747, expected_value: N92000002, label: geography} + - {column: D, row: 2747, expected_value: Females, label: sex} + - {column: E, row: 2747, expected_value: Total, label: employment type} + - {column: J, row: 2747, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2749 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2749, expected_value: N92000002, label: geography} + - {column: D, row: 2749, expected_value: Females, label: sex} + - {column: E, row: 2749, expected_value: Total, label: employment type} + - {column: J, row: 2749, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2751 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2751, expected_value: N92000002, label: geography} + - {column: D, row: 2751, expected_value: Females, label: sex} + - {column: E, row: 2751, expected_value: Total, label: employment type} + - {column: J, row: 2751, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2753 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2753, expected_value: N92000002, label: geography} + - {column: D, row: 2753, expected_value: Females, label: sex} + - {column: E, row: 2753, expected_value: Total, label: employment type} + - {column: J, row: 2753, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2755 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2755, expected_value: N92000002, label: geography} + - {column: D, row: 2755, expected_value: Females, label: sex} + - {column: E, row: 2755, expected_value: Total, label: employment type} + - {column: J, row: 2755, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2757 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2757, expected_value: N92000002, label: geography} + - {column: D, row: 2757, expected_value: Females, label: sex} + - {column: E, row: 2757, expected_value: Total, label: employment type} + - {column: J, row: 2757, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2761 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2761, expected_value: N92000002, label: geography} + - {column: D, row: 2761, expected_value: Females, label: sex} + - {column: E, row: 2761, expected_value: Total, label: employment type} + - {column: J, row: 2761, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2765 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2765, expected_value: N92000002, label: geography} + - {column: D, row: 2765, expected_value: Females, label: sex} + - {column: E, row: 2765, expected_value: Total, label: employment type} + - {column: J, row: 2765, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2767 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2767, expected_value: N92000002, label: geography} + - {column: D, row: 2767, expected_value: Females, label: sex} + - {column: E, row: 2767, expected_value: Total, label: employment type} + - {column: J, row: 2767, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2769 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2769, expected_value: N92000002, label: geography} + - {column: D, row: 2769, expected_value: Females, label: sex} + - {column: E, row: 2769, expected_value: Total, label: employment type} + - {column: J, row: 2769, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2771 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2771, expected_value: N92000002, label: geography} + - {column: D, row: 2771, expected_value: Females, label: sex} + - {column: E, row: 2771, expected_value: Total, label: employment type} + - {column: J, row: 2771, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2773 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2773, expected_value: N92000002, label: geography} + - {column: D, row: 2773, expected_value: Females, label: sex} + - {column: E, row: 2773, expected_value: Total, label: employment type} + - {column: J, row: 2773, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2775 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2775, expected_value: N92000002, label: geography} + - {column: D, row: 2775, expected_value: Females, label: sex} + - {column: E, row: 2775, expected_value: Total, label: employment type} + - {column: J, row: 2775, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2783 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2783, expected_value: N92000002, label: geography} + - {column: D, row: 2783, expected_value: Females, label: sex} + - {column: E, row: 2783, expected_value: Total, label: employment type} + - {column: J, row: 2783, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 2785 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 2785, expected_value: N92000002, label: geography} + - {column: D, row: 2785, expected_value: Females, label: sex} + - {column: E, row: 2785, expected_value: Total, label: employment type} + - {column: J, row: 2785, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 2787 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 2787, expected_value: N92000002, label: geography} + - {column: D, row: 2787, expected_value: Females, label: sex} + - {column: E, row: 2787, expected_value: Total, label: employment type} + - {column: J, row: 2787, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 2789 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 2789, expected_value: N92000002, label: geography} + - {column: D, row: 2789, expected_value: Females, label: sex} + - {column: E, row: 2789, expected_value: Total, label: employment type} + - {column: J, row: 2789, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 2793 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 2793, expected_value: N92000002, label: geography} + - {column: D, row: 2793, expected_value: Females, label: sex} + - {column: E, row: 2793, expected_value: Total, label: employment type} + - {column: J, row: 2793, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 2795 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 2795, expected_value: N92000002, label: geography} + - {column: D, row: 2795, expected_value: Females, label: sex} + - {column: E, row: 2795, expected_value: Total, label: employment type} + - {column: J, row: 2795, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 2797 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 2797, expected_value: N92000002, label: geography} + - {column: D, row: 2797, expected_value: Females, label: sex} + - {column: E, row: 2797, expected_value: Total, label: employment type} + - {column: J, row: 2797, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 2799 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 2799, expected_value: N92000002, label: geography} + - {column: D, row: 2799, expected_value: Females, label: sex} + - {column: E, row: 2799, expected_value: Total, label: employment type} + - {column: J, row: 2799, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 2801 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 2801, expected_value: N92000002, label: geography} + - {column: D, row: 2801, expected_value: Females, label: sex} + - {column: E, row: 2801, expected_value: Total, label: employment type} + - {column: J, row: 2801, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 2805 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 2805, expected_value: N92000002, label: geography} + - {column: D, row: 2805, expected_value: Females, label: sex} + - {column: E, row: 2805, expected_value: Total, label: employment type} + - {column: J, row: 2805, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 2807 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 2807, expected_value: N92000002, label: geography} + - {column: D, row: 2807, expected_value: Females, label: sex} + - {column: E, row: 2807, expected_value: Total, label: employment type} + - {column: J, row: 2807, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 2809 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 2809, expected_value: N92000002, label: geography} + - {column: D, row: 2809, expected_value: Females, label: sex} + - {column: E, row: 2809, expected_value: Total, label: employment type} + - {column: J, row: 2809, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2954 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2954, expected_value: N92000002, label: geography} + - {column: D, row: 2954, expected_value: Females, label: sex} + - {column: E, row: 2954, expected_value: Employee, label: employment type} + - {column: J, row: 2954, expected_value: Value, label: measure} + - {column: L, row: 2955, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2956 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2956, expected_value: N92000002, label: geography} + - {column: D, row: 2956, expected_value: Females, label: sex} + - {column: E, row: 2956, expected_value: Employee, label: employment type} + - {column: J, row: 2956, expected_value: Value, label: measure} + - {column: L, row: 2957, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2958 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2958, expected_value: N92000002, label: geography} + - {column: D, row: 2958, expected_value: Females, label: sex} + - {column: E, row: 2958, expected_value: Employee, label: employment type} + - {column: J, row: 2958, expected_value: Value, label: measure} + - {column: L, row: 2959, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2960 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2960, expected_value: N92000002, label: geography} + - {column: D, row: 2960, expected_value: Females, label: sex} + - {column: E, row: 2960, expected_value: Employee, label: employment type} + - {column: J, row: 2960, expected_value: Value, label: measure} + - {column: L, row: 2961, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2962 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2962, expected_value: N92000002, label: geography} + - {column: D, row: 2962, expected_value: Females, label: sex} + - {column: E, row: 2962, expected_value: Employee, label: employment type} + - {column: J, row: 2962, expected_value: Value, label: measure} + - {column: L, row: 2963, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2964 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2964, expected_value: N92000002, label: geography} + - {column: D, row: 2964, expected_value: Females, label: sex} + - {column: E, row: 2964, expected_value: Employee, label: employment type} + - {column: J, row: 2964, expected_value: Value, label: measure} + - {column: L, row: 2965, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2966 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2966, expected_value: N92000002, label: geography} + - {column: D, row: 2966, expected_value: Females, label: sex} + - {column: E, row: 2966, expected_value: Employee, label: employment type} + - {column: J, row: 2966, expected_value: Value, label: measure} + - {column: L, row: 2967, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2968 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2968, expected_value: N92000002, label: geography} + - {column: D, row: 2968, expected_value: Females, label: sex} + - {column: E, row: 2968, expected_value: Employee, label: employment type} + - {column: J, row: 2968, expected_value: Value, label: measure} + - {column: L, row: 2969, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2970 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2970, expected_value: N92000002, label: geography} + - {column: D, row: 2970, expected_value: Females, label: sex} + - {column: E, row: 2970, expected_value: Employee, label: employment type} + - {column: J, row: 2970, expected_value: Value, label: measure} + - {column: L, row: 2971, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2972 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2972, expected_value: N92000002, label: geography} + - {column: D, row: 2972, expected_value: Females, label: sex} + - {column: E, row: 2972, expected_value: Employee, label: employment type} + - {column: J, row: 2972, expected_value: Value, label: measure} + - {column: L, row: 2973, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 2974 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 2974, expected_value: N92000002, label: geography} + - {column: D, row: 2974, expected_value: Females, label: sex} + - {column: E, row: 2974, expected_value: Employee, label: employment type} + - {column: J, row: 2974, expected_value: Value, label: measure} + - {column: L, row: 2975, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2976 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2976, expected_value: N92000002, label: geography} + - {column: D, row: 2976, expected_value: Females, label: sex} + - {column: E, row: 2976, expected_value: Employee, label: employment type} + - {column: J, row: 2976, expected_value: Value, label: measure} + - {column: L, row: 2977, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 2978 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 2978, expected_value: N92000002, label: geography} + - {column: D, row: 2978, expected_value: Females, label: sex} + - {column: E, row: 2978, expected_value: Employee, label: employment type} + - {column: J, row: 2978, expected_value: Value, label: measure} + - {column: L, row: 2979, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 2980 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 2980, expected_value: N92000002, label: geography} + - {column: D, row: 2980, expected_value: Females, label: sex} + - {column: E, row: 2980, expected_value: Employee, label: employment type} + - {column: J, row: 2980, expected_value: Value, label: measure} + - {column: L, row: 2981, expected_value: G, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2982 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2982, expected_value: N92000002, label: geography} + - {column: D, row: 2982, expected_value: Females, label: sex} + - {column: E, row: 2982, expected_value: Employee, label: employment type} + - {column: J, row: 2982, expected_value: Value, label: measure} + - {column: L, row: 2983, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2984 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2984, expected_value: N92000002, label: geography} + - {column: D, row: 2984, expected_value: Females, label: sex} + - {column: E, row: 2984, expected_value: Employee, label: employment type} + - {column: J, row: 2984, expected_value: Value, label: measure} + - {column: L, row: 2985, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2986 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2986, expected_value: N92000002, label: geography} + - {column: D, row: 2986, expected_value: Females, label: sex} + - {column: E, row: 2986, expected_value: Employee, label: employment type} + - {column: J, row: 2986, expected_value: Value, label: measure} + - {column: L, row: 2987, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2988 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2988, expected_value: N92000002, label: geography} + - {column: D, row: 2988, expected_value: Females, label: sex} + - {column: E, row: 2988, expected_value: Employee, label: employment type} + - {column: J, row: 2988, expected_value: Value, label: measure} + - {column: L, row: 2989, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2990 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2990, expected_value: N92000002, label: geography} + - {column: D, row: 2990, expected_value: Females, label: sex} + - {column: E, row: 2990, expected_value: Employee, label: employment type} + - {column: J, row: 2990, expected_value: Value, label: measure} + - {column: L, row: 2991, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 2992 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 2992, expected_value: N92000002, label: geography} + - {column: D, row: 2992, expected_value: Females, label: sex} + - {column: E, row: 2992, expected_value: Employee, label: employment type} + - {column: J, row: 2992, expected_value: Value, label: measure} + - {column: L, row: 2993, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 2994 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 2994, expected_value: N92000002, label: geography} + - {column: D, row: 2994, expected_value: Females, label: sex} + - {column: E, row: 2994, expected_value: Employee, label: employment type} + - {column: J, row: 2994, expected_value: Value, label: measure} + - {column: L, row: 2995, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2998 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2998, expected_value: N92000002, label: geography} + - {column: D, row: 2998, expected_value: Females, label: sex} + - {column: E, row: 2998, expected_value: Employee, label: employment type} + - {column: J, row: 2998, expected_value: Value, label: measure} + - {column: L, row: 2999, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3000 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3000, expected_value: N92000002, label: geography} + - {column: D, row: 3000, expected_value: Females, label: sex} + - {column: E, row: 3000, expected_value: Employee, label: employment type} + - {column: J, row: 3000, expected_value: Value, label: measure} + - {column: L, row: 3001, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3002 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3002, expected_value: N92000002, label: geography} + - {column: D, row: 3002, expected_value: Females, label: sex} + - {column: E, row: 3002, expected_value: Employee, label: employment type} + - {column: J, row: 3002, expected_value: Value, label: measure} + - {column: L, row: 3003, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3004 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3004, expected_value: N92000002, label: geography} + - {column: D, row: 3004, expected_value: Females, label: sex} + - {column: E, row: 3004, expected_value: Employee, label: employment type} + - {column: J, row: 3004, expected_value: Value, label: measure} + - {column: L, row: 3005, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3008 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3008, expected_value: N92000002, label: geography} + - {column: D, row: 3008, expected_value: Females, label: sex} + - {column: E, row: 3008, expected_value: Employee, label: employment type} + - {column: J, row: 3008, expected_value: Value, label: measure} + - {column: L, row: 3009, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3010 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3010, expected_value: N92000002, label: geography} + - {column: D, row: 3010, expected_value: Females, label: sex} + - {column: E, row: 3010, expected_value: Employee, label: employment type} + - {column: J, row: 3010, expected_value: Value, label: measure} + - {column: L, row: 3011, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3012 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3012, expected_value: N92000002, label: geography} + - {column: D, row: 3012, expected_value: Females, label: sex} + - {column: E, row: 3012, expected_value: Employee, label: employment type} + - {column: J, row: 3012, expected_value: Value, label: measure} + - {column: L, row: 3013, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3014 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3014, expected_value: N92000002, label: geography} + - {column: D, row: 3014, expected_value: Females, label: sex} + - {column: E, row: 3014, expected_value: Employee, label: employment type} + - {column: J, row: 3014, expected_value: Value, label: measure} + - {column: L, row: 3015, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3016 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3016, expected_value: N92000002, label: geography} + - {column: D, row: 3016, expected_value: Females, label: sex} + - {column: E, row: 3016, expected_value: Employee, label: employment type} + - {column: J, row: 3016, expected_value: Value, label: measure} + - {column: L, row: 3017, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3018 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3018, expected_value: N92000002, label: geography} + - {column: D, row: 3018, expected_value: Females, label: sex} + - {column: E, row: 3018, expected_value: Employee, label: employment type} + - {column: J, row: 3018, expected_value: Value, label: measure} + - {column: L, row: 3019, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3020 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3020, expected_value: N92000002, label: geography} + - {column: D, row: 3020, expected_value: Females, label: sex} + - {column: E, row: 3020, expected_value: Employee, label: employment type} + - {column: J, row: 3020, expected_value: Value, label: measure} + - {column: L, row: 3021, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3022 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3022, expected_value: N92000002, label: geography} + - {column: D, row: 3022, expected_value: Females, label: sex} + - {column: E, row: 3022, expected_value: Employee, label: employment type} + - {column: J, row: 3022, expected_value: Value, label: measure} + - {column: L, row: 3023, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3024 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3024, expected_value: N92000002, label: geography} + - {column: D, row: 3024, expected_value: Females, label: sex} + - {column: E, row: 3024, expected_value: Employee, label: employment type} + - {column: J, row: 3024, expected_value: Value, label: measure} + - {column: L, row: 3025, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 2955 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 2955, expected_value: N92000002, label: geography} + - {column: D, row: 2955, expected_value: Females, label: sex} + - {column: E, row: 2955, expected_value: Employee, label: employment type} + - {column: J, row: 2955, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 2957 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 2957, expected_value: N92000002, label: geography} + - {column: D, row: 2957, expected_value: Females, label: sex} + - {column: E, row: 2957, expected_value: Employee, label: employment type} + - {column: J, row: 2957, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 2959 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 2959, expected_value: N92000002, label: geography} + - {column: D, row: 2959, expected_value: Females, label: sex} + - {column: E, row: 2959, expected_value: Employee, label: employment type} + - {column: J, row: 2959, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 2961 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 2961, expected_value: N92000002, label: geography} + - {column: D, row: 2961, expected_value: Females, label: sex} + - {column: E, row: 2961, expected_value: Employee, label: employment type} + - {column: J, row: 2961, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 2963 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 2963, expected_value: N92000002, label: geography} + - {column: D, row: 2963, expected_value: Females, label: sex} + - {column: E, row: 2963, expected_value: Employee, label: employment type} + - {column: J, row: 2963, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 2965 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 2965, expected_value: N92000002, label: geography} + - {column: D, row: 2965, expected_value: Females, label: sex} + - {column: E, row: 2965, expected_value: Employee, label: employment type} + - {column: J, row: 2965, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 2967 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 2967, expected_value: N92000002, label: geography} + - {column: D, row: 2967, expected_value: Females, label: sex} + - {column: E, row: 2967, expected_value: Employee, label: employment type} + - {column: J, row: 2967, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 2969 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 2969, expected_value: N92000002, label: geography} + - {column: D, row: 2969, expected_value: Females, label: sex} + - {column: E, row: 2969, expected_value: Employee, label: employment type} + - {column: J, row: 2969, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 2971 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 2971, expected_value: N92000002, label: geography} + - {column: D, row: 2971, expected_value: Females, label: sex} + - {column: E, row: 2971, expected_value: Employee, label: employment type} + - {column: J, row: 2971, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 2973 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 2973, expected_value: N92000002, label: geography} + - {column: D, row: 2973, expected_value: Females, label: sex} + - {column: E, row: 2973, expected_value: Employee, label: employment type} + - {column: J, row: 2973, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 2977 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 2977, expected_value: N92000002, label: geography} + - {column: D, row: 2977, expected_value: Females, label: sex} + - {column: E, row: 2977, expected_value: Employee, label: employment type} + - {column: J, row: 2977, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 2983 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 2983, expected_value: N92000002, label: geography} + - {column: D, row: 2983, expected_value: Females, label: sex} + - {column: E, row: 2983, expected_value: Employee, label: employment type} + - {column: J, row: 2983, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 2985 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 2985, expected_value: N92000002, label: geography} + - {column: D, row: 2985, expected_value: Females, label: sex} + - {column: E, row: 2985, expected_value: Employee, label: employment type} + - {column: J, row: 2985, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 2987 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 2987, expected_value: N92000002, label: geography} + - {column: D, row: 2987, expected_value: Females, label: sex} + - {column: E, row: 2987, expected_value: Employee, label: employment type} + - {column: J, row: 2987, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 2989 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 2989, expected_value: N92000002, label: geography} + - {column: D, row: 2989, expected_value: Females, label: sex} + - {column: E, row: 2989, expected_value: Employee, label: employment type} + - {column: J, row: 2989, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 2991 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 2991, expected_value: N92000002, label: geography} + - {column: D, row: 2991, expected_value: Females, label: sex} + - {column: E, row: 2991, expected_value: Employee, label: employment type} + - {column: J, row: 2991, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 2999 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 2999, expected_value: N92000002, label: geography} + - {column: D, row: 2999, expected_value: Females, label: sex} + - {column: E, row: 2999, expected_value: Employee, label: employment type} + - {column: J, row: 2999, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3001 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3001, expected_value: N92000002, label: geography} + - {column: D, row: 3001, expected_value: Females, label: sex} + - {column: E, row: 3001, expected_value: Employee, label: employment type} + - {column: J, row: 3001, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3003 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3003, expected_value: N92000002, label: geography} + - {column: D, row: 3003, expected_value: Females, label: sex} + - {column: E, row: 3003, expected_value: Employee, label: employment type} + - {column: J, row: 3003, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3005 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3005, expected_value: N92000002, label: geography} + - {column: D, row: 3005, expected_value: Females, label: sex} + - {column: E, row: 3005, expected_value: Employee, label: employment type} + - {column: J, row: 3005, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3009 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3009, expected_value: N92000002, label: geography} + - {column: D, row: 3009, expected_value: Females, label: sex} + - {column: E, row: 3009, expected_value: Employee, label: employment type} + - {column: J, row: 3009, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3011 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3011, expected_value: N92000002, label: geography} + - {column: D, row: 3011, expected_value: Females, label: sex} + - {column: E, row: 3011, expected_value: Employee, label: employment type} + - {column: J, row: 3011, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3013 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3013, expected_value: N92000002, label: geography} + - {column: D, row: 3013, expected_value: Females, label: sex} + - {column: E, row: 3013, expected_value: Employee, label: employment type} + - {column: J, row: 3013, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3015 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3015, expected_value: N92000002, label: geography} + - {column: D, row: 3015, expected_value: Females, label: sex} + - {column: E, row: 3015, expected_value: Employee, label: employment type} + - {column: J, row: 3015, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3017 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3017, expected_value: N92000002, label: geography} + - {column: D, row: 3017, expected_value: Females, label: sex} + - {column: E, row: 3017, expected_value: Employee, label: employment type} + - {column: J, row: 3017, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3021 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3021, expected_value: N92000002, label: geography} + - {column: D, row: 3021, expected_value: Females, label: sex} + - {column: E, row: 3021, expected_value: Employee, label: employment type} + - {column: J, row: 3021, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3025 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3025, expected_value: N92000002, label: geography} + - {column: D, row: 3025, expected_value: Females, label: sex} + - {column: E, row: 3025, expected_value: Employee, label: employment type} + - {column: J, row: 3025, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3170 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3170, expected_value: N92000002, label: geography} + - {column: D, row: 3170, expected_value: Females, label: sex} + - {column: E, row: 3170, expected_value: Self-employed, label: employment type} + - {column: J, row: 3170, expected_value: Value, label: measure} + - {column: L, row: 3171, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3172 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3172, expected_value: N92000002, label: geography} + - {column: D, row: 3172, expected_value: Females, label: sex} + - {column: E, row: 3172, expected_value: Self-employed, label: employment type} + - {column: J, row: 3172, expected_value: Value, label: measure} + - {column: L, row: 3173, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3174 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3174, expected_value: N92000002, label: geography} + - {column: D, row: 3174, expected_value: Females, label: sex} + - {column: E, row: 3174, expected_value: Self-employed, label: employment type} + - {column: J, row: 3174, expected_value: Value, label: measure} + - {column: L, row: 3175, expected_value: G, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3176 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3176, expected_value: N92000002, label: geography} + - {column: D, row: 3176, expected_value: Females, label: sex} + - {column: E, row: 3176, expected_value: Self-employed, label: employment type} + - {column: J, row: 3176, expected_value: Value, label: measure} + - {column: L, row: 3177, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3178 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3178, expected_value: N92000002, label: geography} + - {column: D, row: 3178, expected_value: Females, label: sex} + - {column: E, row: 3178, expected_value: Self-employed, label: employment type} + - {column: J, row: 3178, expected_value: Value, label: measure} + - {column: L, row: 3179, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3182 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3182, expected_value: N92000002, label: geography} + - {column: D, row: 3182, expected_value: Females, label: sex} + - {column: E, row: 3182, expected_value: Self-employed, label: employment type} + - {column: J, row: 3182, expected_value: Value, label: measure} + - {column: L, row: 3183, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3184 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3184, expected_value: N92000002, label: geography} + - {column: D, row: 3184, expected_value: Females, label: sex} + - {column: E, row: 3184, expected_value: Self-employed, label: employment type} + - {column: J, row: 3184, expected_value: Value, label: measure} + - {column: L, row: 3185, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3186 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3186, expected_value: N92000002, label: geography} + - {column: D, row: 3186, expected_value: Females, label: sex} + - {column: E, row: 3186, expected_value: Self-employed, label: employment type} + - {column: J, row: 3186, expected_value: Value, label: measure} + - {column: L, row: 3187, expected_value: G, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3188 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3188, expected_value: N92000002, label: geography} + - {column: D, row: 3188, expected_value: Females, label: sex} + - {column: E, row: 3188, expected_value: Self-employed, label: employment type} + - {column: J, row: 3188, expected_value: Value, label: measure} + - {column: L, row: 3189, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3192 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3192, expected_value: N92000002, label: geography} + - {column: D, row: 3192, expected_value: Females, label: sex} + - {column: E, row: 3192, expected_value: Self-employed, label: employment type} + - {column: J, row: 3192, expected_value: Value, label: measure} + - {column: L, row: 3193, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3196 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3196, expected_value: N92000002, label: geography} + - {column: D, row: 3196, expected_value: Females, label: sex} + - {column: E, row: 3196, expected_value: Self-employed, label: employment type} + - {column: J, row: 3196, expected_value: Value, label: measure} + - {column: L, row: 3197, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3198 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3198, expected_value: N92000002, label: geography} + - {column: D, row: 3198, expected_value: Females, label: sex} + - {column: E, row: 3198, expected_value: Self-employed, label: employment type} + - {column: J, row: 3198, expected_value: Value, label: measure} + - {column: L, row: 3199, expected_value: G, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3200 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3200, expected_value: N92000002, label: geography} + - {column: D, row: 3200, expected_value: Females, label: sex} + - {column: E, row: 3200, expected_value: Self-employed, label: employment type} + - {column: J, row: 3200, expected_value: Value, label: measure} + - {column: L, row: 3201, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3202 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3202, expected_value: N92000002, label: geography} + - {column: D, row: 3202, expected_value: Females, label: sex} + - {column: E, row: 3202, expected_value: Self-employed, label: employment type} + - {column: J, row: 3202, expected_value: Value, label: measure} + - {column: L, row: 3203, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3206 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3206, expected_value: N92000002, label: geography} + - {column: D, row: 3206, expected_value: Females, label: sex} + - {column: E, row: 3206, expected_value: Self-employed, label: employment type} + - {column: J, row: 3206, expected_value: Value, label: measure} + - {column: L, row: 3207, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3208 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3208, expected_value: N92000002, label: geography} + - {column: D, row: 3208, expected_value: Females, label: sex} + - {column: E, row: 3208, expected_value: Self-employed, label: employment type} + - {column: J, row: 3208, expected_value: Value, label: measure} + - {column: L, row: 3209, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3214 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3214, expected_value: N92000002, label: geography} + - {column: D, row: 3214, expected_value: Females, label: sex} + - {column: E, row: 3214, expected_value: Self-employed, label: employment type} + - {column: J, row: 3214, expected_value: Value, label: measure} + - {column: L, row: 3215, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3216 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3216, expected_value: N92000002, label: geography} + - {column: D, row: 3216, expected_value: Females, label: sex} + - {column: E, row: 3216, expected_value: Self-employed, label: employment type} + - {column: J, row: 3216, expected_value: Value, label: measure} + - {column: L, row: 3217, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3218 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3218, expected_value: N92000002, label: geography} + - {column: D, row: 3218, expected_value: Females, label: sex} + - {column: E, row: 3218, expected_value: Self-employed, label: employment type} + - {column: J, row: 3218, expected_value: Value, label: measure} + - {column: L, row: 3219, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3220 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3220, expected_value: N92000002, label: geography} + - {column: D, row: 3220, expected_value: Females, label: sex} + - {column: E, row: 3220, expected_value: Self-employed, label: employment type} + - {column: J, row: 3220, expected_value: Value, label: measure} + - {column: L, row: 3221, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3236 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3236, expected_value: N92000002, label: geography} + - {column: D, row: 3236, expected_value: Females, label: sex} + - {column: E, row: 3236, expected_value: Self-employed, label: employment type} + - {column: J, row: 3236, expected_value: Value, label: measure} + - {column: L, row: 3237, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3240 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3240, expected_value: N92000002, label: geography} + - {column: D, row: 3240, expected_value: Females, label: sex} + - {column: E, row: 3240, expected_value: Self-employed, label: employment type} + - {column: J, row: 3240, expected_value: Value, label: measure} + - {column: L, row: 3241, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.n92000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.n92000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.n92000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: N92000002 + geography_level: country + geography_name: Northern Ireland + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3171 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3171, expected_value: N92000002, label: geography} + - {column: D, row: 3171, expected_value: Females, label: sex} + - {column: E, row: 3171, expected_value: Self-employed, label: employment type} + - {column: J, row: 3171, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3173 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3173, expected_value: N92000002, label: geography} + - {column: D, row: 3173, expected_value: Females, label: sex} + - {column: E, row: 3173, expected_value: Self-employed, label: employment type} + - {column: J, row: 3173, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3177 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3177, expected_value: N92000002, label: geography} + - {column: D, row: 3177, expected_value: Females, label: sex} + - {column: E, row: 3177, expected_value: Self-employed, label: employment type} + - {column: J, row: 3177, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3179 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3179, expected_value: N92000002, label: geography} + - {column: D, row: 3179, expected_value: Females, label: sex} + - {column: E, row: 3179, expected_value: Self-employed, label: employment type} + - {column: J, row: 3179, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3189 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3189, expected_value: N92000002, label: geography} + - {column: D, row: 3189, expected_value: Females, label: sex} + - {column: E, row: 3189, expected_value: Self-employed, label: employment type} + - {column: J, row: 3189, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3197 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3197, expected_value: N92000002, label: geography} + - {column: D, row: 3197, expected_value: Females, label: sex} + - {column: E, row: 3197, expected_value: Self-employed, label: employment type} + - {column: J, row: 3197, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3207 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3207, expected_value: N92000002, label: geography} + - {column: D, row: 3207, expected_value: Females, label: sex} + - {column: E, row: 3207, expected_value: Self-employed, label: employment type} + - {column: J, row: 3207, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3217 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3217, expected_value: N92000002, label: geography} + - {column: D, row: 3217, expected_value: Females, label: sex} + - {column: E, row: 3217, expected_value: Self-employed, label: employment type} + - {column: J, row: 3217, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3219 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3219, expected_value: N92000002, label: geography} + - {column: D, row: 3219, expected_value: Females, label: sex} + - {column: E, row: 3219, expected_value: Self-employed, label: employment type} + - {column: J, row: 3219, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3221 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3221, expected_value: N92000002, label: geography} + - {column: D, row: 3221, expected_value: Females, label: sex} + - {column: E, row: 3221, expected_value: Self-employed, label: employment type} + - {column: J, row: 3221, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3242 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3242, expected_value: E12000001, label: geography} + - {column: D, row: 3242, expected_value: All persons, label: sex} + - {column: E, row: 3242, expected_value: Total, label: employment type} + - {column: J, row: 3242, expected_value: Value, label: measure} + - {column: L, row: 3243, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3244 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3244, expected_value: E12000001, label: geography} + - {column: D, row: 3244, expected_value: All persons, label: sex} + - {column: E, row: 3244, expected_value: Total, label: employment type} + - {column: J, row: 3244, expected_value: Value, label: measure} + - {column: L, row: 3245, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3246 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3246, expected_value: E12000001, label: geography} + - {column: D, row: 3246, expected_value: All persons, label: sex} + - {column: E, row: 3246, expected_value: Total, label: employment type} + - {column: J, row: 3246, expected_value: Value, label: measure} + - {column: L, row: 3247, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3248 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3248, expected_value: E12000001, label: geography} + - {column: D, row: 3248, expected_value: All persons, label: sex} + - {column: E, row: 3248, expected_value: Total, label: employment type} + - {column: J, row: 3248, expected_value: Value, label: measure} + - {column: L, row: 3249, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3250 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3250, expected_value: E12000001, label: geography} + - {column: D, row: 3250, expected_value: All persons, label: sex} + - {column: E, row: 3250, expected_value: Total, label: employment type} + - {column: J, row: 3250, expected_value: Value, label: measure} + - {column: L, row: 3251, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3252 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3252, expected_value: E12000001, label: geography} + - {column: D, row: 3252, expected_value: All persons, label: sex} + - {column: E, row: 3252, expected_value: Total, label: employment type} + - {column: J, row: 3252, expected_value: Value, label: measure} + - {column: L, row: 3253, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3254 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3254, expected_value: E12000001, label: geography} + - {column: D, row: 3254, expected_value: All persons, label: sex} + - {column: E, row: 3254, expected_value: Total, label: employment type} + - {column: J, row: 3254, expected_value: Value, label: measure} + - {column: L, row: 3255, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3256 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3256, expected_value: E12000001, label: geography} + - {column: D, row: 3256, expected_value: All persons, label: sex} + - {column: E, row: 3256, expected_value: Total, label: employment type} + - {column: J, row: 3256, expected_value: Value, label: measure} + - {column: L, row: 3257, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3258 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3258, expected_value: E12000001, label: geography} + - {column: D, row: 3258, expected_value: All persons, label: sex} + - {column: E, row: 3258, expected_value: Total, label: employment type} + - {column: J, row: 3258, expected_value: Value, label: measure} + - {column: L, row: 3259, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3260 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3260, expected_value: E12000001, label: geography} + - {column: D, row: 3260, expected_value: All persons, label: sex} + - {column: E, row: 3260, expected_value: Total, label: employment type} + - {column: J, row: 3260, expected_value: Value, label: measure} + - {column: L, row: 3261, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3262 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3262, expected_value: E12000001, label: geography} + - {column: D, row: 3262, expected_value: All persons, label: sex} + - {column: E, row: 3262, expected_value: Total, label: employment type} + - {column: J, row: 3262, expected_value: Value, label: measure} + - {column: L, row: 3263, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3264 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3264, expected_value: E12000001, label: geography} + - {column: D, row: 3264, expected_value: All persons, label: sex} + - {column: E, row: 3264, expected_value: Total, label: employment type} + - {column: J, row: 3264, expected_value: Value, label: measure} + - {column: L, row: 3265, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3266 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3266, expected_value: E12000001, label: geography} + - {column: D, row: 3266, expected_value: All persons, label: sex} + - {column: E, row: 3266, expected_value: Total, label: employment type} + - {column: J, row: 3266, expected_value: Value, label: measure} + - {column: L, row: 3267, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3268 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3268, expected_value: E12000001, label: geography} + - {column: D, row: 3268, expected_value: All persons, label: sex} + - {column: E, row: 3268, expected_value: Total, label: employment type} + - {column: J, row: 3268, expected_value: Value, label: measure} + - {column: L, row: 3269, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3270 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3270, expected_value: E12000001, label: geography} + - {column: D, row: 3270, expected_value: All persons, label: sex} + - {column: E, row: 3270, expected_value: Total, label: employment type} + - {column: J, row: 3270, expected_value: Value, label: measure} + - {column: L, row: 3271, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3272 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3272, expected_value: E12000001, label: geography} + - {column: D, row: 3272, expected_value: All persons, label: sex} + - {column: E, row: 3272, expected_value: Total, label: employment type} + - {column: J, row: 3272, expected_value: Value, label: measure} + - {column: L, row: 3273, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3274 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3274, expected_value: E12000001, label: geography} + - {column: D, row: 3274, expected_value: All persons, label: sex} + - {column: E, row: 3274, expected_value: Total, label: employment type} + - {column: J, row: 3274, expected_value: Value, label: measure} + - {column: L, row: 3275, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3276 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3276, expected_value: E12000001, label: geography} + - {column: D, row: 3276, expected_value: All persons, label: sex} + - {column: E, row: 3276, expected_value: Total, label: employment type} + - {column: J, row: 3276, expected_value: Value, label: measure} + - {column: L, row: 3277, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3278 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3278, expected_value: E12000001, label: geography} + - {column: D, row: 3278, expected_value: All persons, label: sex} + - {column: E, row: 3278, expected_value: Total, label: employment type} + - {column: J, row: 3278, expected_value: Value, label: measure} + - {column: L, row: 3279, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3280 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3280, expected_value: E12000001, label: geography} + - {column: D, row: 3280, expected_value: All persons, label: sex} + - {column: E, row: 3280, expected_value: Total, label: employment type} + - {column: J, row: 3280, expected_value: Value, label: measure} + - {column: L, row: 3281, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3282 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3282, expected_value: E12000001, label: geography} + - {column: D, row: 3282, expected_value: All persons, label: sex} + - {column: E, row: 3282, expected_value: Total, label: employment type} + - {column: J, row: 3282, expected_value: Value, label: measure} + - {column: L, row: 3283, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3284 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3284, expected_value: E12000001, label: geography} + - {column: D, row: 3284, expected_value: All persons, label: sex} + - {column: E, row: 3284, expected_value: Total, label: employment type} + - {column: J, row: 3284, expected_value: Value, label: measure} + - {column: L, row: 3285, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3286 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3286, expected_value: E12000001, label: geography} + - {column: D, row: 3286, expected_value: All persons, label: sex} + - {column: E, row: 3286, expected_value: Total, label: employment type} + - {column: J, row: 3286, expected_value: Value, label: measure} + - {column: L, row: 3287, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3288 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3288, expected_value: E12000001, label: geography} + - {column: D, row: 3288, expected_value: All persons, label: sex} + - {column: E, row: 3288, expected_value: Total, label: employment type} + - {column: J, row: 3288, expected_value: Value, label: measure} + - {column: L, row: 3289, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3290 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3290, expected_value: E12000001, label: geography} + - {column: D, row: 3290, expected_value: All persons, label: sex} + - {column: E, row: 3290, expected_value: Total, label: employment type} + - {column: J, row: 3290, expected_value: Value, label: measure} + - {column: L, row: 3291, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3292 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3292, expected_value: E12000001, label: geography} + - {column: D, row: 3292, expected_value: All persons, label: sex} + - {column: E, row: 3292, expected_value: Total, label: employment type} + - {column: J, row: 3292, expected_value: Value, label: measure} + - {column: L, row: 3293, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3294 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3294, expected_value: E12000001, label: geography} + - {column: D, row: 3294, expected_value: All persons, label: sex} + - {column: E, row: 3294, expected_value: Total, label: employment type} + - {column: J, row: 3294, expected_value: Value, label: measure} + - {column: L, row: 3295, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3296 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3296, expected_value: E12000001, label: geography} + - {column: D, row: 3296, expected_value: All persons, label: sex} + - {column: E, row: 3296, expected_value: Total, label: employment type} + - {column: J, row: 3296, expected_value: Value, label: measure} + - {column: L, row: 3297, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3298 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3298, expected_value: E12000001, label: geography} + - {column: D, row: 3298, expected_value: All persons, label: sex} + - {column: E, row: 3298, expected_value: Total, label: employment type} + - {column: J, row: 3298, expected_value: Value, label: measure} + - {column: L, row: 3299, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3300 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3300, expected_value: E12000001, label: geography} + - {column: D, row: 3300, expected_value: All persons, label: sex} + - {column: E, row: 3300, expected_value: Total, label: employment type} + - {column: J, row: 3300, expected_value: Value, label: measure} + - {column: L, row: 3301, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3302 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3302, expected_value: E12000001, label: geography} + - {column: D, row: 3302, expected_value: All persons, label: sex} + - {column: E, row: 3302, expected_value: Total, label: employment type} + - {column: J, row: 3302, expected_value: Value, label: measure} + - {column: L, row: 3303, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3304 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3304, expected_value: E12000001, label: geography} + - {column: D, row: 3304, expected_value: All persons, label: sex} + - {column: E, row: 3304, expected_value: Total, label: employment type} + - {column: J, row: 3304, expected_value: Value, label: measure} + - {column: L, row: 3305, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3306 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3306, expected_value: E12000001, label: geography} + - {column: D, row: 3306, expected_value: All persons, label: sex} + - {column: E, row: 3306, expected_value: Total, label: employment type} + - {column: J, row: 3306, expected_value: Value, label: measure} + - {column: L, row: 3307, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3308 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3308, expected_value: E12000001, label: geography} + - {column: D, row: 3308, expected_value: All persons, label: sex} + - {column: E, row: 3308, expected_value: Total, label: employment type} + - {column: J, row: 3308, expected_value: Value, label: measure} + - {column: L, row: 3309, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3310 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3310, expected_value: E12000001, label: geography} + - {column: D, row: 3310, expected_value: All persons, label: sex} + - {column: E, row: 3310, expected_value: Total, label: employment type} + - {column: J, row: 3310, expected_value: Value, label: measure} + - {column: L, row: 3311, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3312 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3312, expected_value: E12000001, label: geography} + - {column: D, row: 3312, expected_value: All persons, label: sex} + - {column: E, row: 3312, expected_value: Total, label: employment type} + - {column: J, row: 3312, expected_value: Value, label: measure} + - {column: L, row: 3313, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3243 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3243, expected_value: E12000001, label: geography} + - {column: D, row: 3243, expected_value: All persons, label: sex} + - {column: E, row: 3243, expected_value: Total, label: employment type} + - {column: J, row: 3243, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3245 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3245, expected_value: E12000001, label: geography} + - {column: D, row: 3245, expected_value: All persons, label: sex} + - {column: E, row: 3245, expected_value: Total, label: employment type} + - {column: J, row: 3245, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3247 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3247, expected_value: E12000001, label: geography} + - {column: D, row: 3247, expected_value: All persons, label: sex} + - {column: E, row: 3247, expected_value: Total, label: employment type} + - {column: J, row: 3247, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3249 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3249, expected_value: E12000001, label: geography} + - {column: D, row: 3249, expected_value: All persons, label: sex} + - {column: E, row: 3249, expected_value: Total, label: employment type} + - {column: J, row: 3249, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3251 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3251, expected_value: E12000001, label: geography} + - {column: D, row: 3251, expected_value: All persons, label: sex} + - {column: E, row: 3251, expected_value: Total, label: employment type} + - {column: J, row: 3251, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3253 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3253, expected_value: E12000001, label: geography} + - {column: D, row: 3253, expected_value: All persons, label: sex} + - {column: E, row: 3253, expected_value: Total, label: employment type} + - {column: J, row: 3253, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3255 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3255, expected_value: E12000001, label: geography} + - {column: D, row: 3255, expected_value: All persons, label: sex} + - {column: E, row: 3255, expected_value: Total, label: employment type} + - {column: J, row: 3255, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3257 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3257, expected_value: E12000001, label: geography} + - {column: D, row: 3257, expected_value: All persons, label: sex} + - {column: E, row: 3257, expected_value: Total, label: employment type} + - {column: J, row: 3257, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3259 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3259, expected_value: E12000001, label: geography} + - {column: D, row: 3259, expected_value: All persons, label: sex} + - {column: E, row: 3259, expected_value: Total, label: employment type} + - {column: J, row: 3259, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3261 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3261, expected_value: E12000001, label: geography} + - {column: D, row: 3261, expected_value: All persons, label: sex} + - {column: E, row: 3261, expected_value: Total, label: employment type} + - {column: J, row: 3261, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3263 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3263, expected_value: E12000001, label: geography} + - {column: D, row: 3263, expected_value: All persons, label: sex} + - {column: E, row: 3263, expected_value: Total, label: employment type} + - {column: J, row: 3263, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3265 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3265, expected_value: E12000001, label: geography} + - {column: D, row: 3265, expected_value: All persons, label: sex} + - {column: E, row: 3265, expected_value: Total, label: employment type} + - {column: J, row: 3265, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3267 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3267, expected_value: E12000001, label: geography} + - {column: D, row: 3267, expected_value: All persons, label: sex} + - {column: E, row: 3267, expected_value: Total, label: employment type} + - {column: J, row: 3267, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3269 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3269, expected_value: E12000001, label: geography} + - {column: D, row: 3269, expected_value: All persons, label: sex} + - {column: E, row: 3269, expected_value: Total, label: employment type} + - {column: J, row: 3269, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3271 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3271, expected_value: E12000001, label: geography} + - {column: D, row: 3271, expected_value: All persons, label: sex} + - {column: E, row: 3271, expected_value: Total, label: employment type} + - {column: J, row: 3271, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3273 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3273, expected_value: E12000001, label: geography} + - {column: D, row: 3273, expected_value: All persons, label: sex} + - {column: E, row: 3273, expected_value: Total, label: employment type} + - {column: J, row: 3273, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3275 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3275, expected_value: E12000001, label: geography} + - {column: D, row: 3275, expected_value: All persons, label: sex} + - {column: E, row: 3275, expected_value: Total, label: employment type} + - {column: J, row: 3275, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3277 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3277, expected_value: E12000001, label: geography} + - {column: D, row: 3277, expected_value: All persons, label: sex} + - {column: E, row: 3277, expected_value: Total, label: employment type} + - {column: J, row: 3277, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3279 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3279, expected_value: E12000001, label: geography} + - {column: D, row: 3279, expected_value: All persons, label: sex} + - {column: E, row: 3279, expected_value: Total, label: employment type} + - {column: J, row: 3279, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3281 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3281, expected_value: E12000001, label: geography} + - {column: D, row: 3281, expected_value: All persons, label: sex} + - {column: E, row: 3281, expected_value: Total, label: employment type} + - {column: J, row: 3281, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3283 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3283, expected_value: E12000001, label: geography} + - {column: D, row: 3283, expected_value: All persons, label: sex} + - {column: E, row: 3283, expected_value: Total, label: employment type} + - {column: J, row: 3283, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3285 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3285, expected_value: E12000001, label: geography} + - {column: D, row: 3285, expected_value: All persons, label: sex} + - {column: E, row: 3285, expected_value: Total, label: employment type} + - {column: J, row: 3285, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3287 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3287, expected_value: E12000001, label: geography} + - {column: D, row: 3287, expected_value: All persons, label: sex} + - {column: E, row: 3287, expected_value: Total, label: employment type} + - {column: J, row: 3287, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3289 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3289, expected_value: E12000001, label: geography} + - {column: D, row: 3289, expected_value: All persons, label: sex} + - {column: E, row: 3289, expected_value: Total, label: employment type} + - {column: J, row: 3289, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3291 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3291, expected_value: E12000001, label: geography} + - {column: D, row: 3291, expected_value: All persons, label: sex} + - {column: E, row: 3291, expected_value: Total, label: employment type} + - {column: J, row: 3291, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3293 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3293, expected_value: E12000001, label: geography} + - {column: D, row: 3293, expected_value: All persons, label: sex} + - {column: E, row: 3293, expected_value: Total, label: employment type} + - {column: J, row: 3293, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3297 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3297, expected_value: E12000001, label: geography} + - {column: D, row: 3297, expected_value: All persons, label: sex} + - {column: E, row: 3297, expected_value: Total, label: employment type} + - {column: J, row: 3297, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3299 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3299, expected_value: E12000001, label: geography} + - {column: D, row: 3299, expected_value: All persons, label: sex} + - {column: E, row: 3299, expected_value: Total, label: employment type} + - {column: J, row: 3299, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3301 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3301, expected_value: E12000001, label: geography} + - {column: D, row: 3301, expected_value: All persons, label: sex} + - {column: E, row: 3301, expected_value: Total, label: employment type} + - {column: J, row: 3301, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3303 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3303, expected_value: E12000001, label: geography} + - {column: D, row: 3303, expected_value: All persons, label: sex} + - {column: E, row: 3303, expected_value: Total, label: employment type} + - {column: J, row: 3303, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3305 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3305, expected_value: E12000001, label: geography} + - {column: D, row: 3305, expected_value: All persons, label: sex} + - {column: E, row: 3305, expected_value: Total, label: employment type} + - {column: J, row: 3305, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3307 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3307, expected_value: E12000001, label: geography} + - {column: D, row: 3307, expected_value: All persons, label: sex} + - {column: E, row: 3307, expected_value: Total, label: employment type} + - {column: J, row: 3307, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3309 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3309, expected_value: E12000001, label: geography} + - {column: D, row: 3309, expected_value: All persons, label: sex} + - {column: E, row: 3309, expected_value: Total, label: employment type} + - {column: J, row: 3309, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3311 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3311, expected_value: E12000001, label: geography} + - {column: D, row: 3311, expected_value: All persons, label: sex} + - {column: E, row: 3311, expected_value: Total, label: employment type} + - {column: J, row: 3311, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3313 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3313, expected_value: E12000001, label: geography} + - {column: D, row: 3313, expected_value: All persons, label: sex} + - {column: E, row: 3313, expected_value: Total, label: employment type} + - {column: J, row: 3313, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3458 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3458, expected_value: E12000001, label: geography} + - {column: D, row: 3458, expected_value: All persons, label: sex} + - {column: E, row: 3458, expected_value: Employee, label: employment type} + - {column: J, row: 3458, expected_value: Value, label: measure} + - {column: L, row: 3459, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3460 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3460, expected_value: E12000001, label: geography} + - {column: D, row: 3460, expected_value: All persons, label: sex} + - {column: E, row: 3460, expected_value: Employee, label: employment type} + - {column: J, row: 3460, expected_value: Value, label: measure} + - {column: L, row: 3461, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3462 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3462, expected_value: E12000001, label: geography} + - {column: D, row: 3462, expected_value: All persons, label: sex} + - {column: E, row: 3462, expected_value: Employee, label: employment type} + - {column: J, row: 3462, expected_value: Value, label: measure} + - {column: L, row: 3463, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3464 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3464, expected_value: E12000001, label: geography} + - {column: D, row: 3464, expected_value: All persons, label: sex} + - {column: E, row: 3464, expected_value: Employee, label: employment type} + - {column: J, row: 3464, expected_value: Value, label: measure} + - {column: L, row: 3465, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3466 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3466, expected_value: E12000001, label: geography} + - {column: D, row: 3466, expected_value: All persons, label: sex} + - {column: E, row: 3466, expected_value: Employee, label: employment type} + - {column: J, row: 3466, expected_value: Value, label: measure} + - {column: L, row: 3467, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3468 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3468, expected_value: E12000001, label: geography} + - {column: D, row: 3468, expected_value: All persons, label: sex} + - {column: E, row: 3468, expected_value: Employee, label: employment type} + - {column: J, row: 3468, expected_value: Value, label: measure} + - {column: L, row: 3469, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3470 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3470, expected_value: E12000001, label: geography} + - {column: D, row: 3470, expected_value: All persons, label: sex} + - {column: E, row: 3470, expected_value: Employee, label: employment type} + - {column: J, row: 3470, expected_value: Value, label: measure} + - {column: L, row: 3471, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3472 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3472, expected_value: E12000001, label: geography} + - {column: D, row: 3472, expected_value: All persons, label: sex} + - {column: E, row: 3472, expected_value: Employee, label: employment type} + - {column: J, row: 3472, expected_value: Value, label: measure} + - {column: L, row: 3473, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3474 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3474, expected_value: E12000001, label: geography} + - {column: D, row: 3474, expected_value: All persons, label: sex} + - {column: E, row: 3474, expected_value: Employee, label: employment type} + - {column: J, row: 3474, expected_value: Value, label: measure} + - {column: L, row: 3475, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3476 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3476, expected_value: E12000001, label: geography} + - {column: D, row: 3476, expected_value: All persons, label: sex} + - {column: E, row: 3476, expected_value: Employee, label: employment type} + - {column: J, row: 3476, expected_value: Value, label: measure} + - {column: L, row: 3477, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3478 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3478, expected_value: E12000001, label: geography} + - {column: D, row: 3478, expected_value: All persons, label: sex} + - {column: E, row: 3478, expected_value: Employee, label: employment type} + - {column: J, row: 3478, expected_value: Value, label: measure} + - {column: L, row: 3479, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3480 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3480, expected_value: E12000001, label: geography} + - {column: D, row: 3480, expected_value: All persons, label: sex} + - {column: E, row: 3480, expected_value: Employee, label: employment type} + - {column: J, row: 3480, expected_value: Value, label: measure} + - {column: L, row: 3481, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3482 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3482, expected_value: E12000001, label: geography} + - {column: D, row: 3482, expected_value: All persons, label: sex} + - {column: E, row: 3482, expected_value: Employee, label: employment type} + - {column: J, row: 3482, expected_value: Value, label: measure} + - {column: L, row: 3483, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3484 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3484, expected_value: E12000001, label: geography} + - {column: D, row: 3484, expected_value: All persons, label: sex} + - {column: E, row: 3484, expected_value: Employee, label: employment type} + - {column: J, row: 3484, expected_value: Value, label: measure} + - {column: L, row: 3485, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3486 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3486, expected_value: E12000001, label: geography} + - {column: D, row: 3486, expected_value: All persons, label: sex} + - {column: E, row: 3486, expected_value: Employee, label: employment type} + - {column: J, row: 3486, expected_value: Value, label: measure} + - {column: L, row: 3487, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3488 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3488, expected_value: E12000001, label: geography} + - {column: D, row: 3488, expected_value: All persons, label: sex} + - {column: E, row: 3488, expected_value: Employee, label: employment type} + - {column: J, row: 3488, expected_value: Value, label: measure} + - {column: L, row: 3489, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3490 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3490, expected_value: E12000001, label: geography} + - {column: D, row: 3490, expected_value: All persons, label: sex} + - {column: E, row: 3490, expected_value: Employee, label: employment type} + - {column: J, row: 3490, expected_value: Value, label: measure} + - {column: L, row: 3491, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3492 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3492, expected_value: E12000001, label: geography} + - {column: D, row: 3492, expected_value: All persons, label: sex} + - {column: E, row: 3492, expected_value: Employee, label: employment type} + - {column: J, row: 3492, expected_value: Value, label: measure} + - {column: L, row: 3493, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3494 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3494, expected_value: E12000001, label: geography} + - {column: D, row: 3494, expected_value: All persons, label: sex} + - {column: E, row: 3494, expected_value: Employee, label: employment type} + - {column: J, row: 3494, expected_value: Value, label: measure} + - {column: L, row: 3495, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3496 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3496, expected_value: E12000001, label: geography} + - {column: D, row: 3496, expected_value: All persons, label: sex} + - {column: E, row: 3496, expected_value: Employee, label: employment type} + - {column: J, row: 3496, expected_value: Value, label: measure} + - {column: L, row: 3497, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3498 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3498, expected_value: E12000001, label: geography} + - {column: D, row: 3498, expected_value: All persons, label: sex} + - {column: E, row: 3498, expected_value: Employee, label: employment type} + - {column: J, row: 3498, expected_value: Value, label: measure} + - {column: L, row: 3499, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3500 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3500, expected_value: E12000001, label: geography} + - {column: D, row: 3500, expected_value: All persons, label: sex} + - {column: E, row: 3500, expected_value: Employee, label: employment type} + - {column: J, row: 3500, expected_value: Value, label: measure} + - {column: L, row: 3501, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3502 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3502, expected_value: E12000001, label: geography} + - {column: D, row: 3502, expected_value: All persons, label: sex} + - {column: E, row: 3502, expected_value: Employee, label: employment type} + - {column: J, row: 3502, expected_value: Value, label: measure} + - {column: L, row: 3503, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3504 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3504, expected_value: E12000001, label: geography} + - {column: D, row: 3504, expected_value: All persons, label: sex} + - {column: E, row: 3504, expected_value: Employee, label: employment type} + - {column: J, row: 3504, expected_value: Value, label: measure} + - {column: L, row: 3505, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3506 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3506, expected_value: E12000001, label: geography} + - {column: D, row: 3506, expected_value: All persons, label: sex} + - {column: E, row: 3506, expected_value: Employee, label: employment type} + - {column: J, row: 3506, expected_value: Value, label: measure} + - {column: L, row: 3507, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3508 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3508, expected_value: E12000001, label: geography} + - {column: D, row: 3508, expected_value: All persons, label: sex} + - {column: E, row: 3508, expected_value: Employee, label: employment type} + - {column: J, row: 3508, expected_value: Value, label: measure} + - {column: L, row: 3509, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3510 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3510, expected_value: E12000001, label: geography} + - {column: D, row: 3510, expected_value: All persons, label: sex} + - {column: E, row: 3510, expected_value: Employee, label: employment type} + - {column: J, row: 3510, expected_value: Value, label: measure} + - {column: L, row: 3511, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3512 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3512, expected_value: E12000001, label: geography} + - {column: D, row: 3512, expected_value: All persons, label: sex} + - {column: E, row: 3512, expected_value: Employee, label: employment type} + - {column: J, row: 3512, expected_value: Value, label: measure} + - {column: L, row: 3513, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3514 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3514, expected_value: E12000001, label: geography} + - {column: D, row: 3514, expected_value: All persons, label: sex} + - {column: E, row: 3514, expected_value: Employee, label: employment type} + - {column: J, row: 3514, expected_value: Value, label: measure} + - {column: L, row: 3515, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3516 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3516, expected_value: E12000001, label: geography} + - {column: D, row: 3516, expected_value: All persons, label: sex} + - {column: E, row: 3516, expected_value: Employee, label: employment type} + - {column: J, row: 3516, expected_value: Value, label: measure} + - {column: L, row: 3517, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3518 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3518, expected_value: E12000001, label: geography} + - {column: D, row: 3518, expected_value: All persons, label: sex} + - {column: E, row: 3518, expected_value: Employee, label: employment type} + - {column: J, row: 3518, expected_value: Value, label: measure} + - {column: L, row: 3519, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3520 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3520, expected_value: E12000001, label: geography} + - {column: D, row: 3520, expected_value: All persons, label: sex} + - {column: E, row: 3520, expected_value: Employee, label: employment type} + - {column: J, row: 3520, expected_value: Value, label: measure} + - {column: L, row: 3521, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3522 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3522, expected_value: E12000001, label: geography} + - {column: D, row: 3522, expected_value: All persons, label: sex} + - {column: E, row: 3522, expected_value: Employee, label: employment type} + - {column: J, row: 3522, expected_value: Value, label: measure} + - {column: L, row: 3523, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3524 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3524, expected_value: E12000001, label: geography} + - {column: D, row: 3524, expected_value: All persons, label: sex} + - {column: E, row: 3524, expected_value: Employee, label: employment type} + - {column: J, row: 3524, expected_value: Value, label: measure} + - {column: L, row: 3525, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3526 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3526, expected_value: E12000001, label: geography} + - {column: D, row: 3526, expected_value: All persons, label: sex} + - {column: E, row: 3526, expected_value: Employee, label: employment type} + - {column: J, row: 3526, expected_value: Value, label: measure} + - {column: L, row: 3527, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3528 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3528, expected_value: E12000001, label: geography} + - {column: D, row: 3528, expected_value: All persons, label: sex} + - {column: E, row: 3528, expected_value: Employee, label: employment type} + - {column: J, row: 3528, expected_value: Value, label: measure} + - {column: L, row: 3529, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3459 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3459, expected_value: E12000001, label: geography} + - {column: D, row: 3459, expected_value: All persons, label: sex} + - {column: E, row: 3459, expected_value: Employee, label: employment type} + - {column: J, row: 3459, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3461 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3461, expected_value: E12000001, label: geography} + - {column: D, row: 3461, expected_value: All persons, label: sex} + - {column: E, row: 3461, expected_value: Employee, label: employment type} + - {column: J, row: 3461, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3463 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3463, expected_value: E12000001, label: geography} + - {column: D, row: 3463, expected_value: All persons, label: sex} + - {column: E, row: 3463, expected_value: Employee, label: employment type} + - {column: J, row: 3463, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3465 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3465, expected_value: E12000001, label: geography} + - {column: D, row: 3465, expected_value: All persons, label: sex} + - {column: E, row: 3465, expected_value: Employee, label: employment type} + - {column: J, row: 3465, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3467 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3467, expected_value: E12000001, label: geography} + - {column: D, row: 3467, expected_value: All persons, label: sex} + - {column: E, row: 3467, expected_value: Employee, label: employment type} + - {column: J, row: 3467, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3469 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3469, expected_value: E12000001, label: geography} + - {column: D, row: 3469, expected_value: All persons, label: sex} + - {column: E, row: 3469, expected_value: Employee, label: employment type} + - {column: J, row: 3469, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3471 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3471, expected_value: E12000001, label: geography} + - {column: D, row: 3471, expected_value: All persons, label: sex} + - {column: E, row: 3471, expected_value: Employee, label: employment type} + - {column: J, row: 3471, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3473 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3473, expected_value: E12000001, label: geography} + - {column: D, row: 3473, expected_value: All persons, label: sex} + - {column: E, row: 3473, expected_value: Employee, label: employment type} + - {column: J, row: 3473, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3475 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3475, expected_value: E12000001, label: geography} + - {column: D, row: 3475, expected_value: All persons, label: sex} + - {column: E, row: 3475, expected_value: Employee, label: employment type} + - {column: J, row: 3475, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3477 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3477, expected_value: E12000001, label: geography} + - {column: D, row: 3477, expected_value: All persons, label: sex} + - {column: E, row: 3477, expected_value: Employee, label: employment type} + - {column: J, row: 3477, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3479 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3479, expected_value: E12000001, label: geography} + - {column: D, row: 3479, expected_value: All persons, label: sex} + - {column: E, row: 3479, expected_value: Employee, label: employment type} + - {column: J, row: 3479, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3481 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3481, expected_value: E12000001, label: geography} + - {column: D, row: 3481, expected_value: All persons, label: sex} + - {column: E, row: 3481, expected_value: Employee, label: employment type} + - {column: J, row: 3481, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3483 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3483, expected_value: E12000001, label: geography} + - {column: D, row: 3483, expected_value: All persons, label: sex} + - {column: E, row: 3483, expected_value: Employee, label: employment type} + - {column: J, row: 3483, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3485 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3485, expected_value: E12000001, label: geography} + - {column: D, row: 3485, expected_value: All persons, label: sex} + - {column: E, row: 3485, expected_value: Employee, label: employment type} + - {column: J, row: 3485, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3487 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3487, expected_value: E12000001, label: geography} + - {column: D, row: 3487, expected_value: All persons, label: sex} + - {column: E, row: 3487, expected_value: Employee, label: employment type} + - {column: J, row: 3487, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3489 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3489, expected_value: E12000001, label: geography} + - {column: D, row: 3489, expected_value: All persons, label: sex} + - {column: E, row: 3489, expected_value: Employee, label: employment type} + - {column: J, row: 3489, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3491 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3491, expected_value: E12000001, label: geography} + - {column: D, row: 3491, expected_value: All persons, label: sex} + - {column: E, row: 3491, expected_value: Employee, label: employment type} + - {column: J, row: 3491, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3493 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3493, expected_value: E12000001, label: geography} + - {column: D, row: 3493, expected_value: All persons, label: sex} + - {column: E, row: 3493, expected_value: Employee, label: employment type} + - {column: J, row: 3493, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3495 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3495, expected_value: E12000001, label: geography} + - {column: D, row: 3495, expected_value: All persons, label: sex} + - {column: E, row: 3495, expected_value: Employee, label: employment type} + - {column: J, row: 3495, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3497 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3497, expected_value: E12000001, label: geography} + - {column: D, row: 3497, expected_value: All persons, label: sex} + - {column: E, row: 3497, expected_value: Employee, label: employment type} + - {column: J, row: 3497, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3499 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3499, expected_value: E12000001, label: geography} + - {column: D, row: 3499, expected_value: All persons, label: sex} + - {column: E, row: 3499, expected_value: Employee, label: employment type} + - {column: J, row: 3499, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3501 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3501, expected_value: E12000001, label: geography} + - {column: D, row: 3501, expected_value: All persons, label: sex} + - {column: E, row: 3501, expected_value: Employee, label: employment type} + - {column: J, row: 3501, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3503 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3503, expected_value: E12000001, label: geography} + - {column: D, row: 3503, expected_value: All persons, label: sex} + - {column: E, row: 3503, expected_value: Employee, label: employment type} + - {column: J, row: 3503, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3505 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3505, expected_value: E12000001, label: geography} + - {column: D, row: 3505, expected_value: All persons, label: sex} + - {column: E, row: 3505, expected_value: Employee, label: employment type} + - {column: J, row: 3505, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3507 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3507, expected_value: E12000001, label: geography} + - {column: D, row: 3507, expected_value: All persons, label: sex} + - {column: E, row: 3507, expected_value: Employee, label: employment type} + - {column: J, row: 3507, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3509 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3509, expected_value: E12000001, label: geography} + - {column: D, row: 3509, expected_value: All persons, label: sex} + - {column: E, row: 3509, expected_value: Employee, label: employment type} + - {column: J, row: 3509, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3513 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3513, expected_value: E12000001, label: geography} + - {column: D, row: 3513, expected_value: All persons, label: sex} + - {column: E, row: 3513, expected_value: Employee, label: employment type} + - {column: J, row: 3513, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3515 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3515, expected_value: E12000001, label: geography} + - {column: D, row: 3515, expected_value: All persons, label: sex} + - {column: E, row: 3515, expected_value: Employee, label: employment type} + - {column: J, row: 3515, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3517 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3517, expected_value: E12000001, label: geography} + - {column: D, row: 3517, expected_value: All persons, label: sex} + - {column: E, row: 3517, expected_value: Employee, label: employment type} + - {column: J, row: 3517, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3519 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3519, expected_value: E12000001, label: geography} + - {column: D, row: 3519, expected_value: All persons, label: sex} + - {column: E, row: 3519, expected_value: Employee, label: employment type} + - {column: J, row: 3519, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3521 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3521, expected_value: E12000001, label: geography} + - {column: D, row: 3521, expected_value: All persons, label: sex} + - {column: E, row: 3521, expected_value: Employee, label: employment type} + - {column: J, row: 3521, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3523 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3523, expected_value: E12000001, label: geography} + - {column: D, row: 3523, expected_value: All persons, label: sex} + - {column: E, row: 3523, expected_value: Employee, label: employment type} + - {column: J, row: 3523, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3525 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3525, expected_value: E12000001, label: geography} + - {column: D, row: 3525, expected_value: All persons, label: sex} + - {column: E, row: 3525, expected_value: Employee, label: employment type} + - {column: J, row: 3525, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3527 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3527, expected_value: E12000001, label: geography} + - {column: D, row: 3527, expected_value: All persons, label: sex} + - {column: E, row: 3527, expected_value: Employee, label: employment type} + - {column: J, row: 3527, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3529 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3529, expected_value: E12000001, label: geography} + - {column: D, row: 3529, expected_value: All persons, label: sex} + - {column: E, row: 3529, expected_value: Employee, label: employment type} + - {column: J, row: 3529, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3674 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3674, expected_value: E12000001, label: geography} + - {column: D, row: 3674, expected_value: All persons, label: sex} + - {column: E, row: 3674, expected_value: Self-employed, label: employment type} + - {column: J, row: 3674, expected_value: Value, label: measure} + - {column: L, row: 3675, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3676 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3676, expected_value: E12000001, label: geography} + - {column: D, row: 3676, expected_value: All persons, label: sex} + - {column: E, row: 3676, expected_value: Self-employed, label: employment type} + - {column: J, row: 3676, expected_value: Value, label: measure} + - {column: L, row: 3677, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3678 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3678, expected_value: E12000001, label: geography} + - {column: D, row: 3678, expected_value: All persons, label: sex} + - {column: E, row: 3678, expected_value: Self-employed, label: employment type} + - {column: J, row: 3678, expected_value: Value, label: measure} + - {column: L, row: 3679, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3680 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3680, expected_value: E12000001, label: geography} + - {column: D, row: 3680, expected_value: All persons, label: sex} + - {column: E, row: 3680, expected_value: Self-employed, label: employment type} + - {column: J, row: 3680, expected_value: Value, label: measure} + - {column: L, row: 3681, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3682 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3682, expected_value: E12000001, label: geography} + - {column: D, row: 3682, expected_value: All persons, label: sex} + - {column: E, row: 3682, expected_value: Self-employed, label: employment type} + - {column: J, row: 3682, expected_value: Value, label: measure} + - {column: L, row: 3683, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3684 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3684, expected_value: E12000001, label: geography} + - {column: D, row: 3684, expected_value: All persons, label: sex} + - {column: E, row: 3684, expected_value: Self-employed, label: employment type} + - {column: J, row: 3684, expected_value: Value, label: measure} + - {column: L, row: 3685, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3686 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3686, expected_value: E12000001, label: geography} + - {column: D, row: 3686, expected_value: All persons, label: sex} + - {column: E, row: 3686, expected_value: Self-employed, label: employment type} + - {column: J, row: 3686, expected_value: Value, label: measure} + - {column: L, row: 3687, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3688 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3688, expected_value: E12000001, label: geography} + - {column: D, row: 3688, expected_value: All persons, label: sex} + - {column: E, row: 3688, expected_value: Self-employed, label: employment type} + - {column: J, row: 3688, expected_value: Value, label: measure} + - {column: L, row: 3689, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3690 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3690, expected_value: E12000001, label: geography} + - {column: D, row: 3690, expected_value: All persons, label: sex} + - {column: E, row: 3690, expected_value: Self-employed, label: employment type} + - {column: J, row: 3690, expected_value: Value, label: measure} + - {column: L, row: 3691, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3692 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3692, expected_value: E12000001, label: geography} + - {column: D, row: 3692, expected_value: All persons, label: sex} + - {column: E, row: 3692, expected_value: Self-employed, label: employment type} + - {column: J, row: 3692, expected_value: Value, label: measure} + - {column: L, row: 3693, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3694 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3694, expected_value: E12000001, label: geography} + - {column: D, row: 3694, expected_value: All persons, label: sex} + - {column: E, row: 3694, expected_value: Self-employed, label: employment type} + - {column: J, row: 3694, expected_value: Value, label: measure} + - {column: L, row: 3695, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3696 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3696, expected_value: E12000001, label: geography} + - {column: D, row: 3696, expected_value: All persons, label: sex} + - {column: E, row: 3696, expected_value: Self-employed, label: employment type} + - {column: J, row: 3696, expected_value: Value, label: measure} + - {column: L, row: 3697, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3700 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3700, expected_value: E12000001, label: geography} + - {column: D, row: 3700, expected_value: All persons, label: sex} + - {column: E, row: 3700, expected_value: Self-employed, label: employment type} + - {column: J, row: 3700, expected_value: Value, label: measure} + - {column: L, row: 3701, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3702 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3702, expected_value: E12000001, label: geography} + - {column: D, row: 3702, expected_value: All persons, label: sex} + - {column: E, row: 3702, expected_value: Self-employed, label: employment type} + - {column: J, row: 3702, expected_value: Value, label: measure} + - {column: L, row: 3703, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3704 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3704, expected_value: E12000001, label: geography} + - {column: D, row: 3704, expected_value: All persons, label: sex} + - {column: E, row: 3704, expected_value: Self-employed, label: employment type} + - {column: J, row: 3704, expected_value: Value, label: measure} + - {column: L, row: 3705, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3706 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3706, expected_value: E12000001, label: geography} + - {column: D, row: 3706, expected_value: All persons, label: sex} + - {column: E, row: 3706, expected_value: Self-employed, label: employment type} + - {column: J, row: 3706, expected_value: Value, label: measure} + - {column: L, row: 3707, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3710 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3710, expected_value: E12000001, label: geography} + - {column: D, row: 3710, expected_value: All persons, label: sex} + - {column: E, row: 3710, expected_value: Self-employed, label: employment type} + - {column: J, row: 3710, expected_value: Value, label: measure} + - {column: L, row: 3711, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3712 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3712, expected_value: E12000001, label: geography} + - {column: D, row: 3712, expected_value: All persons, label: sex} + - {column: E, row: 3712, expected_value: Self-employed, label: employment type} + - {column: J, row: 3712, expected_value: Value, label: measure} + - {column: L, row: 3713, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3714 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3714, expected_value: E12000001, label: geography} + - {column: D, row: 3714, expected_value: All persons, label: sex} + - {column: E, row: 3714, expected_value: Self-employed, label: employment type} + - {column: J, row: 3714, expected_value: Value, label: measure} + - {column: L, row: 3715, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3716 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3716, expected_value: E12000001, label: geography} + - {column: D, row: 3716, expected_value: All persons, label: sex} + - {column: E, row: 3716, expected_value: Self-employed, label: employment type} + - {column: J, row: 3716, expected_value: Value, label: measure} + - {column: L, row: 3717, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3718 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3718, expected_value: E12000001, label: geography} + - {column: D, row: 3718, expected_value: All persons, label: sex} + - {column: E, row: 3718, expected_value: Self-employed, label: employment type} + - {column: J, row: 3718, expected_value: Value, label: measure} + - {column: L, row: 3719, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3720 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3720, expected_value: E12000001, label: geography} + - {column: D, row: 3720, expected_value: All persons, label: sex} + - {column: E, row: 3720, expected_value: Self-employed, label: employment type} + - {column: J, row: 3720, expected_value: Value, label: measure} + - {column: L, row: 3721, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3722 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3722, expected_value: E12000001, label: geography} + - {column: D, row: 3722, expected_value: All persons, label: sex} + - {column: E, row: 3722, expected_value: Self-employed, label: employment type} + - {column: J, row: 3722, expected_value: Value, label: measure} + - {column: L, row: 3723, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3724 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3724, expected_value: E12000001, label: geography} + - {column: D, row: 3724, expected_value: All persons, label: sex} + - {column: E, row: 3724, expected_value: Self-employed, label: employment type} + - {column: J, row: 3724, expected_value: Value, label: measure} + - {column: L, row: 3725, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3728 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3728, expected_value: E12000001, label: geography} + - {column: D, row: 3728, expected_value: All persons, label: sex} + - {column: E, row: 3728, expected_value: Self-employed, label: employment type} + - {column: J, row: 3728, expected_value: Value, label: measure} + - {column: L, row: 3729, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3730 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3730, expected_value: E12000001, label: geography} + - {column: D, row: 3730, expected_value: All persons, label: sex} + - {column: E, row: 3730, expected_value: Self-employed, label: employment type} + - {column: J, row: 3730, expected_value: Value, label: measure} + - {column: L, row: 3731, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3732 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3732, expected_value: E12000001, label: geography} + - {column: D, row: 3732, expected_value: All persons, label: sex} + - {column: E, row: 3732, expected_value: Self-employed, label: employment type} + - {column: J, row: 3732, expected_value: Value, label: measure} + - {column: L, row: 3733, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3734 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3734, expected_value: E12000001, label: geography} + - {column: D, row: 3734, expected_value: All persons, label: sex} + - {column: E, row: 3734, expected_value: Self-employed, label: employment type} + - {column: J, row: 3734, expected_value: Value, label: measure} + - {column: L, row: 3735, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3736 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3736, expected_value: E12000001, label: geography} + - {column: D, row: 3736, expected_value: All persons, label: sex} + - {column: E, row: 3736, expected_value: Self-employed, label: employment type} + - {column: J, row: 3736, expected_value: Value, label: measure} + - {column: L, row: 3737, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3738 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3738, expected_value: E12000001, label: geography} + - {column: D, row: 3738, expected_value: All persons, label: sex} + - {column: E, row: 3738, expected_value: Self-employed, label: employment type} + - {column: J, row: 3738, expected_value: Value, label: measure} + - {column: L, row: 3739, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3740 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3740, expected_value: E12000001, label: geography} + - {column: D, row: 3740, expected_value: All persons, label: sex} + - {column: E, row: 3740, expected_value: Self-employed, label: employment type} + - {column: J, row: 3740, expected_value: Value, label: measure} + - {column: L, row: 3741, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3742 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3742, expected_value: E12000001, label: geography} + - {column: D, row: 3742, expected_value: All persons, label: sex} + - {column: E, row: 3742, expected_value: Self-employed, label: employment type} + - {column: J, row: 3742, expected_value: Value, label: measure} + - {column: L, row: 3743, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3744 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3744, expected_value: E12000001, label: geography} + - {column: D, row: 3744, expected_value: All persons, label: sex} + - {column: E, row: 3744, expected_value: Self-employed, label: employment type} + - {column: J, row: 3744, expected_value: Value, label: measure} + - {column: L, row: 3745, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3675 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3675, expected_value: E12000001, label: geography} + - {column: D, row: 3675, expected_value: All persons, label: sex} + - {column: E, row: 3675, expected_value: Self-employed, label: employment type} + - {column: J, row: 3675, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3677 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3677, expected_value: E12000001, label: geography} + - {column: D, row: 3677, expected_value: All persons, label: sex} + - {column: E, row: 3677, expected_value: Self-employed, label: employment type} + - {column: J, row: 3677, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3679 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3679, expected_value: E12000001, label: geography} + - {column: D, row: 3679, expected_value: All persons, label: sex} + - {column: E, row: 3679, expected_value: Self-employed, label: employment type} + - {column: J, row: 3679, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3681 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3681, expected_value: E12000001, label: geography} + - {column: D, row: 3681, expected_value: All persons, label: sex} + - {column: E, row: 3681, expected_value: Self-employed, label: employment type} + - {column: J, row: 3681, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3683 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3683, expected_value: E12000001, label: geography} + - {column: D, row: 3683, expected_value: All persons, label: sex} + - {column: E, row: 3683, expected_value: Self-employed, label: employment type} + - {column: J, row: 3683, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3685 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3685, expected_value: E12000001, label: geography} + - {column: D, row: 3685, expected_value: All persons, label: sex} + - {column: E, row: 3685, expected_value: Self-employed, label: employment type} + - {column: J, row: 3685, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3687 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3687, expected_value: E12000001, label: geography} + - {column: D, row: 3687, expected_value: All persons, label: sex} + - {column: E, row: 3687, expected_value: Self-employed, label: employment type} + - {column: J, row: 3687, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3691 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3691, expected_value: E12000001, label: geography} + - {column: D, row: 3691, expected_value: All persons, label: sex} + - {column: E, row: 3691, expected_value: Self-employed, label: employment type} + - {column: J, row: 3691, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3693 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3693, expected_value: E12000001, label: geography} + - {column: D, row: 3693, expected_value: All persons, label: sex} + - {column: E, row: 3693, expected_value: Self-employed, label: employment type} + - {column: J, row: 3693, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3701 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3701, expected_value: E12000001, label: geography} + - {column: D, row: 3701, expected_value: All persons, label: sex} + - {column: E, row: 3701, expected_value: Self-employed, label: employment type} + - {column: J, row: 3701, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3703 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3703, expected_value: E12000001, label: geography} + - {column: D, row: 3703, expected_value: All persons, label: sex} + - {column: E, row: 3703, expected_value: Self-employed, label: employment type} + - {column: J, row: 3703, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3705 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3705, expected_value: E12000001, label: geography} + - {column: D, row: 3705, expected_value: All persons, label: sex} + - {column: E, row: 3705, expected_value: Self-employed, label: employment type} + - {column: J, row: 3705, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3707 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3707, expected_value: E12000001, label: geography} + - {column: D, row: 3707, expected_value: All persons, label: sex} + - {column: E, row: 3707, expected_value: Self-employed, label: employment type} + - {column: J, row: 3707, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3711 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3711, expected_value: E12000001, label: geography} + - {column: D, row: 3711, expected_value: All persons, label: sex} + - {column: E, row: 3711, expected_value: Self-employed, label: employment type} + - {column: J, row: 3711, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3713 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3713, expected_value: E12000001, label: geography} + - {column: D, row: 3713, expected_value: All persons, label: sex} + - {column: E, row: 3713, expected_value: Self-employed, label: employment type} + - {column: J, row: 3713, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3715 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3715, expected_value: E12000001, label: geography} + - {column: D, row: 3715, expected_value: All persons, label: sex} + - {column: E, row: 3715, expected_value: Self-employed, label: employment type} + - {column: J, row: 3715, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3717 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3717, expected_value: E12000001, label: geography} + - {column: D, row: 3717, expected_value: All persons, label: sex} + - {column: E, row: 3717, expected_value: Self-employed, label: employment type} + - {column: J, row: 3717, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3719 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3719, expected_value: E12000001, label: geography} + - {column: D, row: 3719, expected_value: All persons, label: sex} + - {column: E, row: 3719, expected_value: Self-employed, label: employment type} + - {column: J, row: 3719, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3721 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3721, expected_value: E12000001, label: geography} + - {column: D, row: 3721, expected_value: All persons, label: sex} + - {column: E, row: 3721, expected_value: Self-employed, label: employment type} + - {column: J, row: 3721, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3723 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3723, expected_value: E12000001, label: geography} + - {column: D, row: 3723, expected_value: All persons, label: sex} + - {column: E, row: 3723, expected_value: Self-employed, label: employment type} + - {column: J, row: 3723, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3725 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3725, expected_value: E12000001, label: geography} + - {column: D, row: 3725, expected_value: All persons, label: sex} + - {column: E, row: 3725, expected_value: Self-employed, label: employment type} + - {column: J, row: 3725, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3729 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3729, expected_value: E12000001, label: geography} + - {column: D, row: 3729, expected_value: All persons, label: sex} + - {column: E, row: 3729, expected_value: Self-employed, label: employment type} + - {column: J, row: 3729, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3731 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3731, expected_value: E12000001, label: geography} + - {column: D, row: 3731, expected_value: All persons, label: sex} + - {column: E, row: 3731, expected_value: Self-employed, label: employment type} + - {column: J, row: 3731, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3735 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3735, expected_value: E12000001, label: geography} + - {column: D, row: 3735, expected_value: All persons, label: sex} + - {column: E, row: 3735, expected_value: Self-employed, label: employment type} + - {column: J, row: 3735, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3737 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3737, expected_value: E12000001, label: geography} + - {column: D, row: 3737, expected_value: All persons, label: sex} + - {column: E, row: 3737, expected_value: Self-employed, label: employment type} + - {column: J, row: 3737, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3739 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3739, expected_value: E12000001, label: geography} + - {column: D, row: 3739, expected_value: All persons, label: sex} + - {column: E, row: 3739, expected_value: Self-employed, label: employment type} + - {column: J, row: 3739, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3741 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3741, expected_value: E12000001, label: geography} + - {column: D, row: 3741, expected_value: All persons, label: sex} + - {column: E, row: 3741, expected_value: Self-employed, label: employment type} + - {column: J, row: 3741, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3745 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3745, expected_value: E12000001, label: geography} + - {column: D, row: 3745, expected_value: All persons, label: sex} + - {column: E, row: 3745, expected_value: Self-employed, label: employment type} + - {column: J, row: 3745, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3314 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3314, expected_value: E12000001, label: geography} + - {column: D, row: 3314, expected_value: Males, label: sex} + - {column: E, row: 3314, expected_value: Total, label: employment type} + - {column: J, row: 3314, expected_value: Value, label: measure} + - {column: L, row: 3315, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3316 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3316, expected_value: E12000001, label: geography} + - {column: D, row: 3316, expected_value: Males, label: sex} + - {column: E, row: 3316, expected_value: Total, label: employment type} + - {column: J, row: 3316, expected_value: Value, label: measure} + - {column: L, row: 3317, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3318 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3318, expected_value: E12000001, label: geography} + - {column: D, row: 3318, expected_value: Males, label: sex} + - {column: E, row: 3318, expected_value: Total, label: employment type} + - {column: J, row: 3318, expected_value: Value, label: measure} + - {column: L, row: 3319, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3320 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3320, expected_value: E12000001, label: geography} + - {column: D, row: 3320, expected_value: Males, label: sex} + - {column: E, row: 3320, expected_value: Total, label: employment type} + - {column: J, row: 3320, expected_value: Value, label: measure} + - {column: L, row: 3321, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3322 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3322, expected_value: E12000001, label: geography} + - {column: D, row: 3322, expected_value: Males, label: sex} + - {column: E, row: 3322, expected_value: Total, label: employment type} + - {column: J, row: 3322, expected_value: Value, label: measure} + - {column: L, row: 3323, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3324 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3324, expected_value: E12000001, label: geography} + - {column: D, row: 3324, expected_value: Males, label: sex} + - {column: E, row: 3324, expected_value: Total, label: employment type} + - {column: J, row: 3324, expected_value: Value, label: measure} + - {column: L, row: 3325, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3326 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3326, expected_value: E12000001, label: geography} + - {column: D, row: 3326, expected_value: Males, label: sex} + - {column: E, row: 3326, expected_value: Total, label: employment type} + - {column: J, row: 3326, expected_value: Value, label: measure} + - {column: L, row: 3327, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3328 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3328, expected_value: E12000001, label: geography} + - {column: D, row: 3328, expected_value: Males, label: sex} + - {column: E, row: 3328, expected_value: Total, label: employment type} + - {column: J, row: 3328, expected_value: Value, label: measure} + - {column: L, row: 3329, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3330 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3330, expected_value: E12000001, label: geography} + - {column: D, row: 3330, expected_value: Males, label: sex} + - {column: E, row: 3330, expected_value: Total, label: employment type} + - {column: J, row: 3330, expected_value: Value, label: measure} + - {column: L, row: 3331, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3332 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3332, expected_value: E12000001, label: geography} + - {column: D, row: 3332, expected_value: Males, label: sex} + - {column: E, row: 3332, expected_value: Total, label: employment type} + - {column: J, row: 3332, expected_value: Value, label: measure} + - {column: L, row: 3333, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3334 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3334, expected_value: E12000001, label: geography} + - {column: D, row: 3334, expected_value: Males, label: sex} + - {column: E, row: 3334, expected_value: Total, label: employment type} + - {column: J, row: 3334, expected_value: Value, label: measure} + - {column: L, row: 3335, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3336 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3336, expected_value: E12000001, label: geography} + - {column: D, row: 3336, expected_value: Males, label: sex} + - {column: E, row: 3336, expected_value: Total, label: employment type} + - {column: J, row: 3336, expected_value: Value, label: measure} + - {column: L, row: 3337, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3338 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3338, expected_value: E12000001, label: geography} + - {column: D, row: 3338, expected_value: Males, label: sex} + - {column: E, row: 3338, expected_value: Total, label: employment type} + - {column: J, row: 3338, expected_value: Value, label: measure} + - {column: L, row: 3339, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3340 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3340, expected_value: E12000001, label: geography} + - {column: D, row: 3340, expected_value: Males, label: sex} + - {column: E, row: 3340, expected_value: Total, label: employment type} + - {column: J, row: 3340, expected_value: Value, label: measure} + - {column: L, row: 3341, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3342 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3342, expected_value: E12000001, label: geography} + - {column: D, row: 3342, expected_value: Males, label: sex} + - {column: E, row: 3342, expected_value: Total, label: employment type} + - {column: J, row: 3342, expected_value: Value, label: measure} + - {column: L, row: 3343, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3344 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3344, expected_value: E12000001, label: geography} + - {column: D, row: 3344, expected_value: Males, label: sex} + - {column: E, row: 3344, expected_value: Total, label: employment type} + - {column: J, row: 3344, expected_value: Value, label: measure} + - {column: L, row: 3345, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3346 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3346, expected_value: E12000001, label: geography} + - {column: D, row: 3346, expected_value: Males, label: sex} + - {column: E, row: 3346, expected_value: Total, label: employment type} + - {column: J, row: 3346, expected_value: Value, label: measure} + - {column: L, row: 3347, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3348 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3348, expected_value: E12000001, label: geography} + - {column: D, row: 3348, expected_value: Males, label: sex} + - {column: E, row: 3348, expected_value: Total, label: employment type} + - {column: J, row: 3348, expected_value: Value, label: measure} + - {column: L, row: 3349, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3350 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3350, expected_value: E12000001, label: geography} + - {column: D, row: 3350, expected_value: Males, label: sex} + - {column: E, row: 3350, expected_value: Total, label: employment type} + - {column: J, row: 3350, expected_value: Value, label: measure} + - {column: L, row: 3351, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3352 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3352, expected_value: E12000001, label: geography} + - {column: D, row: 3352, expected_value: Males, label: sex} + - {column: E, row: 3352, expected_value: Total, label: employment type} + - {column: J, row: 3352, expected_value: Value, label: measure} + - {column: L, row: 3353, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3354 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3354, expected_value: E12000001, label: geography} + - {column: D, row: 3354, expected_value: Males, label: sex} + - {column: E, row: 3354, expected_value: Total, label: employment type} + - {column: J, row: 3354, expected_value: Value, label: measure} + - {column: L, row: 3355, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3356 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3356, expected_value: E12000001, label: geography} + - {column: D, row: 3356, expected_value: Males, label: sex} + - {column: E, row: 3356, expected_value: Total, label: employment type} + - {column: J, row: 3356, expected_value: Value, label: measure} + - {column: L, row: 3357, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3358 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3358, expected_value: E12000001, label: geography} + - {column: D, row: 3358, expected_value: Males, label: sex} + - {column: E, row: 3358, expected_value: Total, label: employment type} + - {column: J, row: 3358, expected_value: Value, label: measure} + - {column: L, row: 3359, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3360 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3360, expected_value: E12000001, label: geography} + - {column: D, row: 3360, expected_value: Males, label: sex} + - {column: E, row: 3360, expected_value: Total, label: employment type} + - {column: J, row: 3360, expected_value: Value, label: measure} + - {column: L, row: 3361, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3362 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3362, expected_value: E12000001, label: geography} + - {column: D, row: 3362, expected_value: Males, label: sex} + - {column: E, row: 3362, expected_value: Total, label: employment type} + - {column: J, row: 3362, expected_value: Value, label: measure} + - {column: L, row: 3363, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3364 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3364, expected_value: E12000001, label: geography} + - {column: D, row: 3364, expected_value: Males, label: sex} + - {column: E, row: 3364, expected_value: Total, label: employment type} + - {column: J, row: 3364, expected_value: Value, label: measure} + - {column: L, row: 3365, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3366 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3366, expected_value: E12000001, label: geography} + - {column: D, row: 3366, expected_value: Males, label: sex} + - {column: E, row: 3366, expected_value: Total, label: employment type} + - {column: J, row: 3366, expected_value: Value, label: measure} + - {column: L, row: 3367, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3368 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3368, expected_value: E12000001, label: geography} + - {column: D, row: 3368, expected_value: Males, label: sex} + - {column: E, row: 3368, expected_value: Total, label: employment type} + - {column: J, row: 3368, expected_value: Value, label: measure} + - {column: L, row: 3369, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3370 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3370, expected_value: E12000001, label: geography} + - {column: D, row: 3370, expected_value: Males, label: sex} + - {column: E, row: 3370, expected_value: Total, label: employment type} + - {column: J, row: 3370, expected_value: Value, label: measure} + - {column: L, row: 3371, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3372 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3372, expected_value: E12000001, label: geography} + - {column: D, row: 3372, expected_value: Males, label: sex} + - {column: E, row: 3372, expected_value: Total, label: employment type} + - {column: J, row: 3372, expected_value: Value, label: measure} + - {column: L, row: 3373, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3374 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3374, expected_value: E12000001, label: geography} + - {column: D, row: 3374, expected_value: Males, label: sex} + - {column: E, row: 3374, expected_value: Total, label: employment type} + - {column: J, row: 3374, expected_value: Value, label: measure} + - {column: L, row: 3375, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3376 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3376, expected_value: E12000001, label: geography} + - {column: D, row: 3376, expected_value: Males, label: sex} + - {column: E, row: 3376, expected_value: Total, label: employment type} + - {column: J, row: 3376, expected_value: Value, label: measure} + - {column: L, row: 3377, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3378 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3378, expected_value: E12000001, label: geography} + - {column: D, row: 3378, expected_value: Males, label: sex} + - {column: E, row: 3378, expected_value: Total, label: employment type} + - {column: J, row: 3378, expected_value: Value, label: measure} + - {column: L, row: 3379, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3380 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3380, expected_value: E12000001, label: geography} + - {column: D, row: 3380, expected_value: Males, label: sex} + - {column: E, row: 3380, expected_value: Total, label: employment type} + - {column: J, row: 3380, expected_value: Value, label: measure} + - {column: L, row: 3381, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3382 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3382, expected_value: E12000001, label: geography} + - {column: D, row: 3382, expected_value: Males, label: sex} + - {column: E, row: 3382, expected_value: Total, label: employment type} + - {column: J, row: 3382, expected_value: Value, label: measure} + - {column: L, row: 3383, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3384 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3384, expected_value: E12000001, label: geography} + - {column: D, row: 3384, expected_value: Males, label: sex} + - {column: E, row: 3384, expected_value: Total, label: employment type} + - {column: J, row: 3384, expected_value: Value, label: measure} + - {column: L, row: 3385, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3315 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3315, expected_value: E12000001, label: geography} + - {column: D, row: 3315, expected_value: Males, label: sex} + - {column: E, row: 3315, expected_value: Total, label: employment type} + - {column: J, row: 3315, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3317 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3317, expected_value: E12000001, label: geography} + - {column: D, row: 3317, expected_value: Males, label: sex} + - {column: E, row: 3317, expected_value: Total, label: employment type} + - {column: J, row: 3317, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3319 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3319, expected_value: E12000001, label: geography} + - {column: D, row: 3319, expected_value: Males, label: sex} + - {column: E, row: 3319, expected_value: Total, label: employment type} + - {column: J, row: 3319, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3321 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3321, expected_value: E12000001, label: geography} + - {column: D, row: 3321, expected_value: Males, label: sex} + - {column: E, row: 3321, expected_value: Total, label: employment type} + - {column: J, row: 3321, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3323 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3323, expected_value: E12000001, label: geography} + - {column: D, row: 3323, expected_value: Males, label: sex} + - {column: E, row: 3323, expected_value: Total, label: employment type} + - {column: J, row: 3323, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3325 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3325, expected_value: E12000001, label: geography} + - {column: D, row: 3325, expected_value: Males, label: sex} + - {column: E, row: 3325, expected_value: Total, label: employment type} + - {column: J, row: 3325, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3327 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3327, expected_value: E12000001, label: geography} + - {column: D, row: 3327, expected_value: Males, label: sex} + - {column: E, row: 3327, expected_value: Total, label: employment type} + - {column: J, row: 3327, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3329 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3329, expected_value: E12000001, label: geography} + - {column: D, row: 3329, expected_value: Males, label: sex} + - {column: E, row: 3329, expected_value: Total, label: employment type} + - {column: J, row: 3329, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3331 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3331, expected_value: E12000001, label: geography} + - {column: D, row: 3331, expected_value: Males, label: sex} + - {column: E, row: 3331, expected_value: Total, label: employment type} + - {column: J, row: 3331, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3333 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3333, expected_value: E12000001, label: geography} + - {column: D, row: 3333, expected_value: Males, label: sex} + - {column: E, row: 3333, expected_value: Total, label: employment type} + - {column: J, row: 3333, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3335 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3335, expected_value: E12000001, label: geography} + - {column: D, row: 3335, expected_value: Males, label: sex} + - {column: E, row: 3335, expected_value: Total, label: employment type} + - {column: J, row: 3335, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3337 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3337, expected_value: E12000001, label: geography} + - {column: D, row: 3337, expected_value: Males, label: sex} + - {column: E, row: 3337, expected_value: Total, label: employment type} + - {column: J, row: 3337, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3339 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3339, expected_value: E12000001, label: geography} + - {column: D, row: 3339, expected_value: Males, label: sex} + - {column: E, row: 3339, expected_value: Total, label: employment type} + - {column: J, row: 3339, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3341 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3341, expected_value: E12000001, label: geography} + - {column: D, row: 3341, expected_value: Males, label: sex} + - {column: E, row: 3341, expected_value: Total, label: employment type} + - {column: J, row: 3341, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3343 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3343, expected_value: E12000001, label: geography} + - {column: D, row: 3343, expected_value: Males, label: sex} + - {column: E, row: 3343, expected_value: Total, label: employment type} + - {column: J, row: 3343, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3345 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3345, expected_value: E12000001, label: geography} + - {column: D, row: 3345, expected_value: Males, label: sex} + - {column: E, row: 3345, expected_value: Total, label: employment type} + - {column: J, row: 3345, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3347 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3347, expected_value: E12000001, label: geography} + - {column: D, row: 3347, expected_value: Males, label: sex} + - {column: E, row: 3347, expected_value: Total, label: employment type} + - {column: J, row: 3347, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3351 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3351, expected_value: E12000001, label: geography} + - {column: D, row: 3351, expected_value: Males, label: sex} + - {column: E, row: 3351, expected_value: Total, label: employment type} + - {column: J, row: 3351, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3353 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3353, expected_value: E12000001, label: geography} + - {column: D, row: 3353, expected_value: Males, label: sex} + - {column: E, row: 3353, expected_value: Total, label: employment type} + - {column: J, row: 3353, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3355 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3355, expected_value: E12000001, label: geography} + - {column: D, row: 3355, expected_value: Males, label: sex} + - {column: E, row: 3355, expected_value: Total, label: employment type} + - {column: J, row: 3355, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3357 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3357, expected_value: E12000001, label: geography} + - {column: D, row: 3357, expected_value: Males, label: sex} + - {column: E, row: 3357, expected_value: Total, label: employment type} + - {column: J, row: 3357, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3359 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3359, expected_value: E12000001, label: geography} + - {column: D, row: 3359, expected_value: Males, label: sex} + - {column: E, row: 3359, expected_value: Total, label: employment type} + - {column: J, row: 3359, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3361 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3361, expected_value: E12000001, label: geography} + - {column: D, row: 3361, expected_value: Males, label: sex} + - {column: E, row: 3361, expected_value: Total, label: employment type} + - {column: J, row: 3361, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3363 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3363, expected_value: E12000001, label: geography} + - {column: D, row: 3363, expected_value: Males, label: sex} + - {column: E, row: 3363, expected_value: Total, label: employment type} + - {column: J, row: 3363, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3365 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3365, expected_value: E12000001, label: geography} + - {column: D, row: 3365, expected_value: Males, label: sex} + - {column: E, row: 3365, expected_value: Total, label: employment type} + - {column: J, row: 3365, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3369 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3369, expected_value: E12000001, label: geography} + - {column: D, row: 3369, expected_value: Males, label: sex} + - {column: E, row: 3369, expected_value: Total, label: employment type} + - {column: J, row: 3369, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3371 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3371, expected_value: E12000001, label: geography} + - {column: D, row: 3371, expected_value: Males, label: sex} + - {column: E, row: 3371, expected_value: Total, label: employment type} + - {column: J, row: 3371, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3373 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3373, expected_value: E12000001, label: geography} + - {column: D, row: 3373, expected_value: Males, label: sex} + - {column: E, row: 3373, expected_value: Total, label: employment type} + - {column: J, row: 3373, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3375 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3375, expected_value: E12000001, label: geography} + - {column: D, row: 3375, expected_value: Males, label: sex} + - {column: E, row: 3375, expected_value: Total, label: employment type} + - {column: J, row: 3375, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3377 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3377, expected_value: E12000001, label: geography} + - {column: D, row: 3377, expected_value: Males, label: sex} + - {column: E, row: 3377, expected_value: Total, label: employment type} + - {column: J, row: 3377, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3379 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3379, expected_value: E12000001, label: geography} + - {column: D, row: 3379, expected_value: Males, label: sex} + - {column: E, row: 3379, expected_value: Total, label: employment type} + - {column: J, row: 3379, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3381 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3381, expected_value: E12000001, label: geography} + - {column: D, row: 3381, expected_value: Males, label: sex} + - {column: E, row: 3381, expected_value: Total, label: employment type} + - {column: J, row: 3381, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3383 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3383, expected_value: E12000001, label: geography} + - {column: D, row: 3383, expected_value: Males, label: sex} + - {column: E, row: 3383, expected_value: Total, label: employment type} + - {column: J, row: 3383, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3385 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3385, expected_value: E12000001, label: geography} + - {column: D, row: 3385, expected_value: Males, label: sex} + - {column: E, row: 3385, expected_value: Total, label: employment type} + - {column: J, row: 3385, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3530 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3530, expected_value: E12000001, label: geography} + - {column: D, row: 3530, expected_value: Males, label: sex} + - {column: E, row: 3530, expected_value: Employee, label: employment type} + - {column: J, row: 3530, expected_value: Value, label: measure} + - {column: L, row: 3531, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3532 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3532, expected_value: E12000001, label: geography} + - {column: D, row: 3532, expected_value: Males, label: sex} + - {column: E, row: 3532, expected_value: Employee, label: employment type} + - {column: J, row: 3532, expected_value: Value, label: measure} + - {column: L, row: 3533, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3534 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3534, expected_value: E12000001, label: geography} + - {column: D, row: 3534, expected_value: Males, label: sex} + - {column: E, row: 3534, expected_value: Employee, label: employment type} + - {column: J, row: 3534, expected_value: Value, label: measure} + - {column: L, row: 3535, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3536 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3536, expected_value: E12000001, label: geography} + - {column: D, row: 3536, expected_value: Males, label: sex} + - {column: E, row: 3536, expected_value: Employee, label: employment type} + - {column: J, row: 3536, expected_value: Value, label: measure} + - {column: L, row: 3537, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3538 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3538, expected_value: E12000001, label: geography} + - {column: D, row: 3538, expected_value: Males, label: sex} + - {column: E, row: 3538, expected_value: Employee, label: employment type} + - {column: J, row: 3538, expected_value: Value, label: measure} + - {column: L, row: 3539, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3540 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3540, expected_value: E12000001, label: geography} + - {column: D, row: 3540, expected_value: Males, label: sex} + - {column: E, row: 3540, expected_value: Employee, label: employment type} + - {column: J, row: 3540, expected_value: Value, label: measure} + - {column: L, row: 3541, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3542 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3542, expected_value: E12000001, label: geography} + - {column: D, row: 3542, expected_value: Males, label: sex} + - {column: E, row: 3542, expected_value: Employee, label: employment type} + - {column: J, row: 3542, expected_value: Value, label: measure} + - {column: L, row: 3543, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3544 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3544, expected_value: E12000001, label: geography} + - {column: D, row: 3544, expected_value: Males, label: sex} + - {column: E, row: 3544, expected_value: Employee, label: employment type} + - {column: J, row: 3544, expected_value: Value, label: measure} + - {column: L, row: 3545, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3546 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3546, expected_value: E12000001, label: geography} + - {column: D, row: 3546, expected_value: Males, label: sex} + - {column: E, row: 3546, expected_value: Employee, label: employment type} + - {column: J, row: 3546, expected_value: Value, label: measure} + - {column: L, row: 3547, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3548 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3548, expected_value: E12000001, label: geography} + - {column: D, row: 3548, expected_value: Males, label: sex} + - {column: E, row: 3548, expected_value: Employee, label: employment type} + - {column: J, row: 3548, expected_value: Value, label: measure} + - {column: L, row: 3549, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3550 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3550, expected_value: E12000001, label: geography} + - {column: D, row: 3550, expected_value: Males, label: sex} + - {column: E, row: 3550, expected_value: Employee, label: employment type} + - {column: J, row: 3550, expected_value: Value, label: measure} + - {column: L, row: 3551, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3552 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3552, expected_value: E12000001, label: geography} + - {column: D, row: 3552, expected_value: Males, label: sex} + - {column: E, row: 3552, expected_value: Employee, label: employment type} + - {column: J, row: 3552, expected_value: Value, label: measure} + - {column: L, row: 3553, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3554 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3554, expected_value: E12000001, label: geography} + - {column: D, row: 3554, expected_value: Males, label: sex} + - {column: E, row: 3554, expected_value: Employee, label: employment type} + - {column: J, row: 3554, expected_value: Value, label: measure} + - {column: L, row: 3555, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3556 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3556, expected_value: E12000001, label: geography} + - {column: D, row: 3556, expected_value: Males, label: sex} + - {column: E, row: 3556, expected_value: Employee, label: employment type} + - {column: J, row: 3556, expected_value: Value, label: measure} + - {column: L, row: 3557, expected_value: G, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3558 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3558, expected_value: E12000001, label: geography} + - {column: D, row: 3558, expected_value: Males, label: sex} + - {column: E, row: 3558, expected_value: Employee, label: employment type} + - {column: J, row: 3558, expected_value: Value, label: measure} + - {column: L, row: 3559, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3560 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3560, expected_value: E12000001, label: geography} + - {column: D, row: 3560, expected_value: Males, label: sex} + - {column: E, row: 3560, expected_value: Employee, label: employment type} + - {column: J, row: 3560, expected_value: Value, label: measure} + - {column: L, row: 3561, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3562 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3562, expected_value: E12000001, label: geography} + - {column: D, row: 3562, expected_value: Males, label: sex} + - {column: E, row: 3562, expected_value: Employee, label: employment type} + - {column: J, row: 3562, expected_value: Value, label: measure} + - {column: L, row: 3563, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3564 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3564, expected_value: E12000001, label: geography} + - {column: D, row: 3564, expected_value: Males, label: sex} + - {column: E, row: 3564, expected_value: Employee, label: employment type} + - {column: J, row: 3564, expected_value: Value, label: measure} + - {column: L, row: 3565, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3566 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3566, expected_value: E12000001, label: geography} + - {column: D, row: 3566, expected_value: Males, label: sex} + - {column: E, row: 3566, expected_value: Employee, label: employment type} + - {column: J, row: 3566, expected_value: Value, label: measure} + - {column: L, row: 3567, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3568 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3568, expected_value: E12000001, label: geography} + - {column: D, row: 3568, expected_value: Males, label: sex} + - {column: E, row: 3568, expected_value: Employee, label: employment type} + - {column: J, row: 3568, expected_value: Value, label: measure} + - {column: L, row: 3569, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3570 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3570, expected_value: E12000001, label: geography} + - {column: D, row: 3570, expected_value: Males, label: sex} + - {column: E, row: 3570, expected_value: Employee, label: employment type} + - {column: J, row: 3570, expected_value: Value, label: measure} + - {column: L, row: 3571, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3572 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3572, expected_value: E12000001, label: geography} + - {column: D, row: 3572, expected_value: Males, label: sex} + - {column: E, row: 3572, expected_value: Employee, label: employment type} + - {column: J, row: 3572, expected_value: Value, label: measure} + - {column: L, row: 3573, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3574 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3574, expected_value: E12000001, label: geography} + - {column: D, row: 3574, expected_value: Males, label: sex} + - {column: E, row: 3574, expected_value: Employee, label: employment type} + - {column: J, row: 3574, expected_value: Value, label: measure} + - {column: L, row: 3575, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3576 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3576, expected_value: E12000001, label: geography} + - {column: D, row: 3576, expected_value: Males, label: sex} + - {column: E, row: 3576, expected_value: Employee, label: employment type} + - {column: J, row: 3576, expected_value: Value, label: measure} + - {column: L, row: 3577, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3578 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3578, expected_value: E12000001, label: geography} + - {column: D, row: 3578, expected_value: Males, label: sex} + - {column: E, row: 3578, expected_value: Employee, label: employment type} + - {column: J, row: 3578, expected_value: Value, label: measure} + - {column: L, row: 3579, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3580 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3580, expected_value: E12000001, label: geography} + - {column: D, row: 3580, expected_value: Males, label: sex} + - {column: E, row: 3580, expected_value: Employee, label: employment type} + - {column: J, row: 3580, expected_value: Value, label: measure} + - {column: L, row: 3581, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3582 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3582, expected_value: E12000001, label: geography} + - {column: D, row: 3582, expected_value: Males, label: sex} + - {column: E, row: 3582, expected_value: Employee, label: employment type} + - {column: J, row: 3582, expected_value: Value, label: measure} + - {column: L, row: 3583, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3584 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3584, expected_value: E12000001, label: geography} + - {column: D, row: 3584, expected_value: Males, label: sex} + - {column: E, row: 3584, expected_value: Employee, label: employment type} + - {column: J, row: 3584, expected_value: Value, label: measure} + - {column: L, row: 3585, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3586 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3586, expected_value: E12000001, label: geography} + - {column: D, row: 3586, expected_value: Males, label: sex} + - {column: E, row: 3586, expected_value: Employee, label: employment type} + - {column: J, row: 3586, expected_value: Value, label: measure} + - {column: L, row: 3587, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3588 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3588, expected_value: E12000001, label: geography} + - {column: D, row: 3588, expected_value: Males, label: sex} + - {column: E, row: 3588, expected_value: Employee, label: employment type} + - {column: J, row: 3588, expected_value: Value, label: measure} + - {column: L, row: 3589, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3590 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3590, expected_value: E12000001, label: geography} + - {column: D, row: 3590, expected_value: Males, label: sex} + - {column: E, row: 3590, expected_value: Employee, label: employment type} + - {column: J, row: 3590, expected_value: Value, label: measure} + - {column: L, row: 3591, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3592 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3592, expected_value: E12000001, label: geography} + - {column: D, row: 3592, expected_value: Males, label: sex} + - {column: E, row: 3592, expected_value: Employee, label: employment type} + - {column: J, row: 3592, expected_value: Value, label: measure} + - {column: L, row: 3593, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3594 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3594, expected_value: E12000001, label: geography} + - {column: D, row: 3594, expected_value: Males, label: sex} + - {column: E, row: 3594, expected_value: Employee, label: employment type} + - {column: J, row: 3594, expected_value: Value, label: measure} + - {column: L, row: 3595, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3596 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3596, expected_value: E12000001, label: geography} + - {column: D, row: 3596, expected_value: Males, label: sex} + - {column: E, row: 3596, expected_value: Employee, label: employment type} + - {column: J, row: 3596, expected_value: Value, label: measure} + - {column: L, row: 3597, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3598 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3598, expected_value: E12000001, label: geography} + - {column: D, row: 3598, expected_value: Males, label: sex} + - {column: E, row: 3598, expected_value: Employee, label: employment type} + - {column: J, row: 3598, expected_value: Value, label: measure} + - {column: L, row: 3599, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3600 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3600, expected_value: E12000001, label: geography} + - {column: D, row: 3600, expected_value: Males, label: sex} + - {column: E, row: 3600, expected_value: Employee, label: employment type} + - {column: J, row: 3600, expected_value: Value, label: measure} + - {column: L, row: 3601, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3531 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3531, expected_value: E12000001, label: geography} + - {column: D, row: 3531, expected_value: Males, label: sex} + - {column: E, row: 3531, expected_value: Employee, label: employment type} + - {column: J, row: 3531, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3533 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3533, expected_value: E12000001, label: geography} + - {column: D, row: 3533, expected_value: Males, label: sex} + - {column: E, row: 3533, expected_value: Employee, label: employment type} + - {column: J, row: 3533, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3535 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3535, expected_value: E12000001, label: geography} + - {column: D, row: 3535, expected_value: Males, label: sex} + - {column: E, row: 3535, expected_value: Employee, label: employment type} + - {column: J, row: 3535, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3537 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3537, expected_value: E12000001, label: geography} + - {column: D, row: 3537, expected_value: Males, label: sex} + - {column: E, row: 3537, expected_value: Employee, label: employment type} + - {column: J, row: 3537, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3539 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3539, expected_value: E12000001, label: geography} + - {column: D, row: 3539, expected_value: Males, label: sex} + - {column: E, row: 3539, expected_value: Employee, label: employment type} + - {column: J, row: 3539, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3541 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3541, expected_value: E12000001, label: geography} + - {column: D, row: 3541, expected_value: Males, label: sex} + - {column: E, row: 3541, expected_value: Employee, label: employment type} + - {column: J, row: 3541, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3543 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3543, expected_value: E12000001, label: geography} + - {column: D, row: 3543, expected_value: Males, label: sex} + - {column: E, row: 3543, expected_value: Employee, label: employment type} + - {column: J, row: 3543, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3545 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3545, expected_value: E12000001, label: geography} + - {column: D, row: 3545, expected_value: Males, label: sex} + - {column: E, row: 3545, expected_value: Employee, label: employment type} + - {column: J, row: 3545, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3547 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3547, expected_value: E12000001, label: geography} + - {column: D, row: 3547, expected_value: Males, label: sex} + - {column: E, row: 3547, expected_value: Employee, label: employment type} + - {column: J, row: 3547, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3549 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3549, expected_value: E12000001, label: geography} + - {column: D, row: 3549, expected_value: Males, label: sex} + - {column: E, row: 3549, expected_value: Employee, label: employment type} + - {column: J, row: 3549, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3551 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3551, expected_value: E12000001, label: geography} + - {column: D, row: 3551, expected_value: Males, label: sex} + - {column: E, row: 3551, expected_value: Employee, label: employment type} + - {column: J, row: 3551, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3553 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3553, expected_value: E12000001, label: geography} + - {column: D, row: 3553, expected_value: Males, label: sex} + - {column: E, row: 3553, expected_value: Employee, label: employment type} + - {column: J, row: 3553, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3555 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3555, expected_value: E12000001, label: geography} + - {column: D, row: 3555, expected_value: Males, label: sex} + - {column: E, row: 3555, expected_value: Employee, label: employment type} + - {column: J, row: 3555, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3559 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3559, expected_value: E12000001, label: geography} + - {column: D, row: 3559, expected_value: Males, label: sex} + - {column: E, row: 3559, expected_value: Employee, label: employment type} + - {column: J, row: 3559, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3561 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3561, expected_value: E12000001, label: geography} + - {column: D, row: 3561, expected_value: Males, label: sex} + - {column: E, row: 3561, expected_value: Employee, label: employment type} + - {column: J, row: 3561, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3563 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3563, expected_value: E12000001, label: geography} + - {column: D, row: 3563, expected_value: Males, label: sex} + - {column: E, row: 3563, expected_value: Employee, label: employment type} + - {column: J, row: 3563, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3567 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3567, expected_value: E12000001, label: geography} + - {column: D, row: 3567, expected_value: Males, label: sex} + - {column: E, row: 3567, expected_value: Employee, label: employment type} + - {column: J, row: 3567, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3569 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3569, expected_value: E12000001, label: geography} + - {column: D, row: 3569, expected_value: Males, label: sex} + - {column: E, row: 3569, expected_value: Employee, label: employment type} + - {column: J, row: 3569, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3571 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3571, expected_value: E12000001, label: geography} + - {column: D, row: 3571, expected_value: Males, label: sex} + - {column: E, row: 3571, expected_value: Employee, label: employment type} + - {column: J, row: 3571, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3573 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3573, expected_value: E12000001, label: geography} + - {column: D, row: 3573, expected_value: Males, label: sex} + - {column: E, row: 3573, expected_value: Employee, label: employment type} + - {column: J, row: 3573, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3575 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3575, expected_value: E12000001, label: geography} + - {column: D, row: 3575, expected_value: Males, label: sex} + - {column: E, row: 3575, expected_value: Employee, label: employment type} + - {column: J, row: 3575, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3577 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3577, expected_value: E12000001, label: geography} + - {column: D, row: 3577, expected_value: Males, label: sex} + - {column: E, row: 3577, expected_value: Employee, label: employment type} + - {column: J, row: 3577, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3579 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3579, expected_value: E12000001, label: geography} + - {column: D, row: 3579, expected_value: Males, label: sex} + - {column: E, row: 3579, expected_value: Employee, label: employment type} + - {column: J, row: 3579, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3581 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3581, expected_value: E12000001, label: geography} + - {column: D, row: 3581, expected_value: Males, label: sex} + - {column: E, row: 3581, expected_value: Employee, label: employment type} + - {column: J, row: 3581, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3585 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3585, expected_value: E12000001, label: geography} + - {column: D, row: 3585, expected_value: Males, label: sex} + - {column: E, row: 3585, expected_value: Employee, label: employment type} + - {column: J, row: 3585, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3587 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3587, expected_value: E12000001, label: geography} + - {column: D, row: 3587, expected_value: Males, label: sex} + - {column: E, row: 3587, expected_value: Employee, label: employment type} + - {column: J, row: 3587, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3589 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3589, expected_value: E12000001, label: geography} + - {column: D, row: 3589, expected_value: Males, label: sex} + - {column: E, row: 3589, expected_value: Employee, label: employment type} + - {column: J, row: 3589, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3591 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3591, expected_value: E12000001, label: geography} + - {column: D, row: 3591, expected_value: Males, label: sex} + - {column: E, row: 3591, expected_value: Employee, label: employment type} + - {column: J, row: 3591, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3593 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3593, expected_value: E12000001, label: geography} + - {column: D, row: 3593, expected_value: Males, label: sex} + - {column: E, row: 3593, expected_value: Employee, label: employment type} + - {column: J, row: 3593, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3595 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3595, expected_value: E12000001, label: geography} + - {column: D, row: 3595, expected_value: Males, label: sex} + - {column: E, row: 3595, expected_value: Employee, label: employment type} + - {column: J, row: 3595, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3597 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3597, expected_value: E12000001, label: geography} + - {column: D, row: 3597, expected_value: Males, label: sex} + - {column: E, row: 3597, expected_value: Employee, label: employment type} + - {column: J, row: 3597, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3599 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3599, expected_value: E12000001, label: geography} + - {column: D, row: 3599, expected_value: Males, label: sex} + - {column: E, row: 3599, expected_value: Employee, label: employment type} + - {column: J, row: 3599, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3601 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3601, expected_value: E12000001, label: geography} + - {column: D, row: 3601, expected_value: Males, label: sex} + - {column: E, row: 3601, expected_value: Employee, label: employment type} + - {column: J, row: 3601, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3746 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3746, expected_value: E12000001, label: geography} + - {column: D, row: 3746, expected_value: Males, label: sex} + - {column: E, row: 3746, expected_value: Self-employed, label: employment type} + - {column: J, row: 3746, expected_value: Value, label: measure} + - {column: L, row: 3747, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3748 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3748, expected_value: E12000001, label: geography} + - {column: D, row: 3748, expected_value: Males, label: sex} + - {column: E, row: 3748, expected_value: Self-employed, label: employment type} + - {column: J, row: 3748, expected_value: Value, label: measure} + - {column: L, row: 3749, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3750 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3750, expected_value: E12000001, label: geography} + - {column: D, row: 3750, expected_value: Males, label: sex} + - {column: E, row: 3750, expected_value: Self-employed, label: employment type} + - {column: J, row: 3750, expected_value: Value, label: measure} + - {column: L, row: 3751, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3752 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3752, expected_value: E12000001, label: geography} + - {column: D, row: 3752, expected_value: Males, label: sex} + - {column: E, row: 3752, expected_value: Self-employed, label: employment type} + - {column: J, row: 3752, expected_value: Value, label: measure} + - {column: L, row: 3753, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3754 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3754, expected_value: E12000001, label: geography} + - {column: D, row: 3754, expected_value: Males, label: sex} + - {column: E, row: 3754, expected_value: Self-employed, label: employment type} + - {column: J, row: 3754, expected_value: Value, label: measure} + - {column: L, row: 3755, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3756 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3756, expected_value: E12000001, label: geography} + - {column: D, row: 3756, expected_value: Males, label: sex} + - {column: E, row: 3756, expected_value: Self-employed, label: employment type} + - {column: J, row: 3756, expected_value: Value, label: measure} + - {column: L, row: 3757, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3758 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3758, expected_value: E12000001, label: geography} + - {column: D, row: 3758, expected_value: Males, label: sex} + - {column: E, row: 3758, expected_value: Self-employed, label: employment type} + - {column: J, row: 3758, expected_value: Value, label: measure} + - {column: L, row: 3759, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3762 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3762, expected_value: E12000001, label: geography} + - {column: D, row: 3762, expected_value: Males, label: sex} + - {column: E, row: 3762, expected_value: Self-employed, label: employment type} + - {column: J, row: 3762, expected_value: Value, label: measure} + - {column: L, row: 3763, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3764 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3764, expected_value: E12000001, label: geography} + - {column: D, row: 3764, expected_value: Males, label: sex} + - {column: E, row: 3764, expected_value: Self-employed, label: employment type} + - {column: J, row: 3764, expected_value: Value, label: measure} + - {column: L, row: 3765, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3766 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3766, expected_value: E12000001, label: geography} + - {column: D, row: 3766, expected_value: Males, label: sex} + - {column: E, row: 3766, expected_value: Self-employed, label: employment type} + - {column: J, row: 3766, expected_value: Value, label: measure} + - {column: L, row: 3767, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3772 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3772, expected_value: E12000001, label: geography} + - {column: D, row: 3772, expected_value: Males, label: sex} + - {column: E, row: 3772, expected_value: Self-employed, label: employment type} + - {column: J, row: 3772, expected_value: Value, label: measure} + - {column: L, row: 3773, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3774 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3774, expected_value: E12000001, label: geography} + - {column: D, row: 3774, expected_value: Males, label: sex} + - {column: E, row: 3774, expected_value: Self-employed, label: employment type} + - {column: J, row: 3774, expected_value: Value, label: measure} + - {column: L, row: 3775, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3776 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3776, expected_value: E12000001, label: geography} + - {column: D, row: 3776, expected_value: Males, label: sex} + - {column: E, row: 3776, expected_value: Self-employed, label: employment type} + - {column: J, row: 3776, expected_value: Value, label: measure} + - {column: L, row: 3777, expected_value: F, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3778 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3778, expected_value: E12000001, label: geography} + - {column: D, row: 3778, expected_value: Males, label: sex} + - {column: E, row: 3778, expected_value: Self-employed, label: employment type} + - {column: J, row: 3778, expected_value: Value, label: measure} + - {column: L, row: 3779, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3782 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3782, expected_value: E12000001, label: geography} + - {column: D, row: 3782, expected_value: Males, label: sex} + - {column: E, row: 3782, expected_value: Self-employed, label: employment type} + - {column: J, row: 3782, expected_value: Value, label: measure} + - {column: L, row: 3783, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3784 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3784, expected_value: E12000001, label: geography} + - {column: D, row: 3784, expected_value: Males, label: sex} + - {column: E, row: 3784, expected_value: Self-employed, label: employment type} + - {column: J, row: 3784, expected_value: Value, label: measure} + - {column: L, row: 3785, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3786 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3786, expected_value: E12000001, label: geography} + - {column: D, row: 3786, expected_value: Males, label: sex} + - {column: E, row: 3786, expected_value: Self-employed, label: employment type} + - {column: J, row: 3786, expected_value: Value, label: measure} + - {column: L, row: 3787, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3788 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3788, expected_value: E12000001, label: geography} + - {column: D, row: 3788, expected_value: Males, label: sex} + - {column: E, row: 3788, expected_value: Self-employed, label: employment type} + - {column: J, row: 3788, expected_value: Value, label: measure} + - {column: L, row: 3789, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3790 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3790, expected_value: E12000001, label: geography} + - {column: D, row: 3790, expected_value: Males, label: sex} + - {column: E, row: 3790, expected_value: Self-employed, label: employment type} + - {column: J, row: 3790, expected_value: Value, label: measure} + - {column: L, row: 3791, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3792 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3792, expected_value: E12000001, label: geography} + - {column: D, row: 3792, expected_value: Males, label: sex} + - {column: E, row: 3792, expected_value: Self-employed, label: employment type} + - {column: J, row: 3792, expected_value: Value, label: measure} + - {column: L, row: 3793, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3794 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3794, expected_value: E12000001, label: geography} + - {column: D, row: 3794, expected_value: Males, label: sex} + - {column: E, row: 3794, expected_value: Self-employed, label: employment type} + - {column: J, row: 3794, expected_value: Value, label: measure} + - {column: L, row: 3795, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3796 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3796, expected_value: E12000001, label: geography} + - {column: D, row: 3796, expected_value: Males, label: sex} + - {column: E, row: 3796, expected_value: Self-employed, label: employment type} + - {column: J, row: 3796, expected_value: Value, label: measure} + - {column: L, row: 3797, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3800 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3800, expected_value: E12000001, label: geography} + - {column: D, row: 3800, expected_value: Males, label: sex} + - {column: E, row: 3800, expected_value: Self-employed, label: employment type} + - {column: J, row: 3800, expected_value: Value, label: measure} + - {column: L, row: 3801, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3802 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3802, expected_value: E12000001, label: geography} + - {column: D, row: 3802, expected_value: Males, label: sex} + - {column: E, row: 3802, expected_value: Self-employed, label: employment type} + - {column: J, row: 3802, expected_value: Value, label: measure} + - {column: L, row: 3803, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3806 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3806, expected_value: E12000001, label: geography} + - {column: D, row: 3806, expected_value: Males, label: sex} + - {column: E, row: 3806, expected_value: Self-employed, label: employment type} + - {column: J, row: 3806, expected_value: Value, label: measure} + - {column: L, row: 3807, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3808 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3808, expected_value: E12000001, label: geography} + - {column: D, row: 3808, expected_value: Males, label: sex} + - {column: E, row: 3808, expected_value: Self-employed, label: employment type} + - {column: J, row: 3808, expected_value: Value, label: measure} + - {column: L, row: 3809, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3810 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3810, expected_value: E12000001, label: geography} + - {column: D, row: 3810, expected_value: Males, label: sex} + - {column: E, row: 3810, expected_value: Self-employed, label: employment type} + - {column: J, row: 3810, expected_value: Value, label: measure} + - {column: L, row: 3811, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3812 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3812, expected_value: E12000001, label: geography} + - {column: D, row: 3812, expected_value: Males, label: sex} + - {column: E, row: 3812, expected_value: Self-employed, label: employment type} + - {column: J, row: 3812, expected_value: Value, label: measure} + - {column: L, row: 3813, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3814 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3814, expected_value: E12000001, label: geography} + - {column: D, row: 3814, expected_value: Males, label: sex} + - {column: E, row: 3814, expected_value: Self-employed, label: employment type} + - {column: J, row: 3814, expected_value: Value, label: measure} + - {column: L, row: 3815, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3816 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3816, expected_value: E12000001, label: geography} + - {column: D, row: 3816, expected_value: Males, label: sex} + - {column: E, row: 3816, expected_value: Self-employed, label: employment type} + - {column: J, row: 3816, expected_value: Value, label: measure} + - {column: L, row: 3817, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3747 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3747, expected_value: E12000001, label: geography} + - {column: D, row: 3747, expected_value: Males, label: sex} + - {column: E, row: 3747, expected_value: Self-employed, label: employment type} + - {column: J, row: 3747, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3749 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3749, expected_value: E12000001, label: geography} + - {column: D, row: 3749, expected_value: Males, label: sex} + - {column: E, row: 3749, expected_value: Self-employed, label: employment type} + - {column: J, row: 3749, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3751 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3751, expected_value: E12000001, label: geography} + - {column: D, row: 3751, expected_value: Males, label: sex} + - {column: E, row: 3751, expected_value: Self-employed, label: employment type} + - {column: J, row: 3751, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3753 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3753, expected_value: E12000001, label: geography} + - {column: D, row: 3753, expected_value: Males, label: sex} + - {column: E, row: 3753, expected_value: Self-employed, label: employment type} + - {column: J, row: 3753, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3755 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3755, expected_value: E12000001, label: geography} + - {column: D, row: 3755, expected_value: Males, label: sex} + - {column: E, row: 3755, expected_value: Self-employed, label: employment type} + - {column: J, row: 3755, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3757 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3757, expected_value: E12000001, label: geography} + - {column: D, row: 3757, expected_value: Males, label: sex} + - {column: E, row: 3757, expected_value: Self-employed, label: employment type} + - {column: J, row: 3757, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3759 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3759, expected_value: E12000001, label: geography} + - {column: D, row: 3759, expected_value: Males, label: sex} + - {column: E, row: 3759, expected_value: Self-employed, label: employment type} + - {column: J, row: 3759, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3763 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3763, expected_value: E12000001, label: geography} + - {column: D, row: 3763, expected_value: Males, label: sex} + - {column: E, row: 3763, expected_value: Self-employed, label: employment type} + - {column: J, row: 3763, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3765 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3765, expected_value: E12000001, label: geography} + - {column: D, row: 3765, expected_value: Males, label: sex} + - {column: E, row: 3765, expected_value: Self-employed, label: employment type} + - {column: J, row: 3765, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3773 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3773, expected_value: E12000001, label: geography} + - {column: D, row: 3773, expected_value: Males, label: sex} + - {column: E, row: 3773, expected_value: Self-employed, label: employment type} + - {column: J, row: 3773, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3775 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3775, expected_value: E12000001, label: geography} + - {column: D, row: 3775, expected_value: Males, label: sex} + - {column: E, row: 3775, expected_value: Self-employed, label: employment type} + - {column: J, row: 3775, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3783 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3783, expected_value: E12000001, label: geography} + - {column: D, row: 3783, expected_value: Males, label: sex} + - {column: E, row: 3783, expected_value: Self-employed, label: employment type} + - {column: J, row: 3783, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3785 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3785, expected_value: E12000001, label: geography} + - {column: D, row: 3785, expected_value: Males, label: sex} + - {column: E, row: 3785, expected_value: Self-employed, label: employment type} + - {column: J, row: 3785, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3787 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3787, expected_value: E12000001, label: geography} + - {column: D, row: 3787, expected_value: Males, label: sex} + - {column: E, row: 3787, expected_value: Self-employed, label: employment type} + - {column: J, row: 3787, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3789 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3789, expected_value: E12000001, label: geography} + - {column: D, row: 3789, expected_value: Males, label: sex} + - {column: E, row: 3789, expected_value: Self-employed, label: employment type} + - {column: J, row: 3789, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3807 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3807, expected_value: E12000001, label: geography} + - {column: D, row: 3807, expected_value: Males, label: sex} + - {column: E, row: 3807, expected_value: Self-employed, label: employment type} + - {column: J, row: 3807, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3809 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3809, expected_value: E12000001, label: geography} + - {column: D, row: 3809, expected_value: Males, label: sex} + - {column: E, row: 3809, expected_value: Self-employed, label: employment type} + - {column: J, row: 3809, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3811 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3811, expected_value: E12000001, label: geography} + - {column: D, row: 3811, expected_value: Males, label: sex} + - {column: E, row: 3811, expected_value: Self-employed, label: employment type} + - {column: J, row: 3811, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3813 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3813, expected_value: E12000001, label: geography} + - {column: D, row: 3813, expected_value: Males, label: sex} + - {column: E, row: 3813, expected_value: Self-employed, label: employment type} + - {column: J, row: 3813, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3386 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3386, expected_value: E12000001, label: geography} + - {column: D, row: 3386, expected_value: Females, label: sex} + - {column: E, row: 3386, expected_value: Total, label: employment type} + - {column: J, row: 3386, expected_value: Value, label: measure} + - {column: L, row: 3387, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3388 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3388, expected_value: E12000001, label: geography} + - {column: D, row: 3388, expected_value: Females, label: sex} + - {column: E, row: 3388, expected_value: Total, label: employment type} + - {column: J, row: 3388, expected_value: Value, label: measure} + - {column: L, row: 3389, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3390 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3390, expected_value: E12000001, label: geography} + - {column: D, row: 3390, expected_value: Females, label: sex} + - {column: E, row: 3390, expected_value: Total, label: employment type} + - {column: J, row: 3390, expected_value: Value, label: measure} + - {column: L, row: 3391, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3392 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3392, expected_value: E12000001, label: geography} + - {column: D, row: 3392, expected_value: Females, label: sex} + - {column: E, row: 3392, expected_value: Total, label: employment type} + - {column: J, row: 3392, expected_value: Value, label: measure} + - {column: L, row: 3393, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3394 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3394, expected_value: E12000001, label: geography} + - {column: D, row: 3394, expected_value: Females, label: sex} + - {column: E, row: 3394, expected_value: Total, label: employment type} + - {column: J, row: 3394, expected_value: Value, label: measure} + - {column: L, row: 3395, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3396 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3396, expected_value: E12000001, label: geography} + - {column: D, row: 3396, expected_value: Females, label: sex} + - {column: E, row: 3396, expected_value: Total, label: employment type} + - {column: J, row: 3396, expected_value: Value, label: measure} + - {column: L, row: 3397, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3398 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3398, expected_value: E12000001, label: geography} + - {column: D, row: 3398, expected_value: Females, label: sex} + - {column: E, row: 3398, expected_value: Total, label: employment type} + - {column: J, row: 3398, expected_value: Value, label: measure} + - {column: L, row: 3399, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3400 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3400, expected_value: E12000001, label: geography} + - {column: D, row: 3400, expected_value: Females, label: sex} + - {column: E, row: 3400, expected_value: Total, label: employment type} + - {column: J, row: 3400, expected_value: Value, label: measure} + - {column: L, row: 3401, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3402 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3402, expected_value: E12000001, label: geography} + - {column: D, row: 3402, expected_value: Females, label: sex} + - {column: E, row: 3402, expected_value: Total, label: employment type} + - {column: J, row: 3402, expected_value: Value, label: measure} + - {column: L, row: 3403, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3404 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3404, expected_value: E12000001, label: geography} + - {column: D, row: 3404, expected_value: Females, label: sex} + - {column: E, row: 3404, expected_value: Total, label: employment type} + - {column: J, row: 3404, expected_value: Value, label: measure} + - {column: L, row: 3405, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3406 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3406, expected_value: E12000001, label: geography} + - {column: D, row: 3406, expected_value: Females, label: sex} + - {column: E, row: 3406, expected_value: Total, label: employment type} + - {column: J, row: 3406, expected_value: Value, label: measure} + - {column: L, row: 3407, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3408 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3408, expected_value: E12000001, label: geography} + - {column: D, row: 3408, expected_value: Females, label: sex} + - {column: E, row: 3408, expected_value: Total, label: employment type} + - {column: J, row: 3408, expected_value: Value, label: measure} + - {column: L, row: 3409, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3410 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3410, expected_value: E12000001, label: geography} + - {column: D, row: 3410, expected_value: Females, label: sex} + - {column: E, row: 3410, expected_value: Total, label: employment type} + - {column: J, row: 3410, expected_value: Value, label: measure} + - {column: L, row: 3411, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3412 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3412, expected_value: E12000001, label: geography} + - {column: D, row: 3412, expected_value: Females, label: sex} + - {column: E, row: 3412, expected_value: Total, label: employment type} + - {column: J, row: 3412, expected_value: Value, label: measure} + - {column: L, row: 3413, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3414 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3414, expected_value: E12000001, label: geography} + - {column: D, row: 3414, expected_value: Females, label: sex} + - {column: E, row: 3414, expected_value: Total, label: employment type} + - {column: J, row: 3414, expected_value: Value, label: measure} + - {column: L, row: 3415, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3416 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3416, expected_value: E12000001, label: geography} + - {column: D, row: 3416, expected_value: Females, label: sex} + - {column: E, row: 3416, expected_value: Total, label: employment type} + - {column: J, row: 3416, expected_value: Value, label: measure} + - {column: L, row: 3417, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3418 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3418, expected_value: E12000001, label: geography} + - {column: D, row: 3418, expected_value: Females, label: sex} + - {column: E, row: 3418, expected_value: Total, label: employment type} + - {column: J, row: 3418, expected_value: Value, label: measure} + - {column: L, row: 3419, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3420 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3420, expected_value: E12000001, label: geography} + - {column: D, row: 3420, expected_value: Females, label: sex} + - {column: E, row: 3420, expected_value: Total, label: employment type} + - {column: J, row: 3420, expected_value: Value, label: measure} + - {column: L, row: 3421, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3422 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3422, expected_value: E12000001, label: geography} + - {column: D, row: 3422, expected_value: Females, label: sex} + - {column: E, row: 3422, expected_value: Total, label: employment type} + - {column: J, row: 3422, expected_value: Value, label: measure} + - {column: L, row: 3423, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3424 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3424, expected_value: E12000001, label: geography} + - {column: D, row: 3424, expected_value: Females, label: sex} + - {column: E, row: 3424, expected_value: Total, label: employment type} + - {column: J, row: 3424, expected_value: Value, label: measure} + - {column: L, row: 3425, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3426 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3426, expected_value: E12000001, label: geography} + - {column: D, row: 3426, expected_value: Females, label: sex} + - {column: E, row: 3426, expected_value: Total, label: employment type} + - {column: J, row: 3426, expected_value: Value, label: measure} + - {column: L, row: 3427, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3428 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3428, expected_value: E12000001, label: geography} + - {column: D, row: 3428, expected_value: Females, label: sex} + - {column: E, row: 3428, expected_value: Total, label: employment type} + - {column: J, row: 3428, expected_value: Value, label: measure} + - {column: L, row: 3429, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3430 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3430, expected_value: E12000001, label: geography} + - {column: D, row: 3430, expected_value: Females, label: sex} + - {column: E, row: 3430, expected_value: Total, label: employment type} + - {column: J, row: 3430, expected_value: Value, label: measure} + - {column: L, row: 3431, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3432 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3432, expected_value: E12000001, label: geography} + - {column: D, row: 3432, expected_value: Females, label: sex} + - {column: E, row: 3432, expected_value: Total, label: employment type} + - {column: J, row: 3432, expected_value: Value, label: measure} + - {column: L, row: 3433, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3434 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3434, expected_value: E12000001, label: geography} + - {column: D, row: 3434, expected_value: Females, label: sex} + - {column: E, row: 3434, expected_value: Total, label: employment type} + - {column: J, row: 3434, expected_value: Value, label: measure} + - {column: L, row: 3435, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3436 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3436, expected_value: E12000001, label: geography} + - {column: D, row: 3436, expected_value: Females, label: sex} + - {column: E, row: 3436, expected_value: Total, label: employment type} + - {column: J, row: 3436, expected_value: Value, label: measure} + - {column: L, row: 3437, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3440 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3440, expected_value: E12000001, label: geography} + - {column: D, row: 3440, expected_value: Females, label: sex} + - {column: E, row: 3440, expected_value: Total, label: employment type} + - {column: J, row: 3440, expected_value: Value, label: measure} + - {column: L, row: 3441, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3442 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3442, expected_value: E12000001, label: geography} + - {column: D, row: 3442, expected_value: Females, label: sex} + - {column: E, row: 3442, expected_value: Total, label: employment type} + - {column: J, row: 3442, expected_value: Value, label: measure} + - {column: L, row: 3443, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3444 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3444, expected_value: E12000001, label: geography} + - {column: D, row: 3444, expected_value: Females, label: sex} + - {column: E, row: 3444, expected_value: Total, label: employment type} + - {column: J, row: 3444, expected_value: Value, label: measure} + - {column: L, row: 3445, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3446 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3446, expected_value: E12000001, label: geography} + - {column: D, row: 3446, expected_value: Females, label: sex} + - {column: E, row: 3446, expected_value: Total, label: employment type} + - {column: J, row: 3446, expected_value: Value, label: measure} + - {column: L, row: 3447, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3448 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3448, expected_value: E12000001, label: geography} + - {column: D, row: 3448, expected_value: Females, label: sex} + - {column: E, row: 3448, expected_value: Total, label: employment type} + - {column: J, row: 3448, expected_value: Value, label: measure} + - {column: L, row: 3449, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3450 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3450, expected_value: E12000001, label: geography} + - {column: D, row: 3450, expected_value: Females, label: sex} + - {column: E, row: 3450, expected_value: Total, label: employment type} + - {column: J, row: 3450, expected_value: Value, label: measure} + - {column: L, row: 3451, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3452 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3452, expected_value: E12000001, label: geography} + - {column: D, row: 3452, expected_value: Females, label: sex} + - {column: E, row: 3452, expected_value: Total, label: employment type} + - {column: J, row: 3452, expected_value: Value, label: measure} + - {column: L, row: 3453, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3454 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3454, expected_value: E12000001, label: geography} + - {column: D, row: 3454, expected_value: Females, label: sex} + - {column: E, row: 3454, expected_value: Total, label: employment type} + - {column: J, row: 3454, expected_value: Value, label: measure} + - {column: L, row: 3455, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3456 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3456, expected_value: E12000001, label: geography} + - {column: D, row: 3456, expected_value: Females, label: sex} + - {column: E, row: 3456, expected_value: Total, label: employment type} + - {column: J, row: 3456, expected_value: Value, label: measure} + - {column: L, row: 3457, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3387 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3387, expected_value: E12000001, label: geography} + - {column: D, row: 3387, expected_value: Females, label: sex} + - {column: E, row: 3387, expected_value: Total, label: employment type} + - {column: J, row: 3387, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3389 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3389, expected_value: E12000001, label: geography} + - {column: D, row: 3389, expected_value: Females, label: sex} + - {column: E, row: 3389, expected_value: Total, label: employment type} + - {column: J, row: 3389, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3391 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3391, expected_value: E12000001, label: geography} + - {column: D, row: 3391, expected_value: Females, label: sex} + - {column: E, row: 3391, expected_value: Total, label: employment type} + - {column: J, row: 3391, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3393 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3393, expected_value: E12000001, label: geography} + - {column: D, row: 3393, expected_value: Females, label: sex} + - {column: E, row: 3393, expected_value: Total, label: employment type} + - {column: J, row: 3393, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3395 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3395, expected_value: E12000001, label: geography} + - {column: D, row: 3395, expected_value: Females, label: sex} + - {column: E, row: 3395, expected_value: Total, label: employment type} + - {column: J, row: 3395, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3397 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3397, expected_value: E12000001, label: geography} + - {column: D, row: 3397, expected_value: Females, label: sex} + - {column: E, row: 3397, expected_value: Total, label: employment type} + - {column: J, row: 3397, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3399 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3399, expected_value: E12000001, label: geography} + - {column: D, row: 3399, expected_value: Females, label: sex} + - {column: E, row: 3399, expected_value: Total, label: employment type} + - {column: J, row: 3399, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3401 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3401, expected_value: E12000001, label: geography} + - {column: D, row: 3401, expected_value: Females, label: sex} + - {column: E, row: 3401, expected_value: Total, label: employment type} + - {column: J, row: 3401, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3403 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3403, expected_value: E12000001, label: geography} + - {column: D, row: 3403, expected_value: Females, label: sex} + - {column: E, row: 3403, expected_value: Total, label: employment type} + - {column: J, row: 3403, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3405 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3405, expected_value: E12000001, label: geography} + - {column: D, row: 3405, expected_value: Females, label: sex} + - {column: E, row: 3405, expected_value: Total, label: employment type} + - {column: J, row: 3405, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3407 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3407, expected_value: E12000001, label: geography} + - {column: D, row: 3407, expected_value: Females, label: sex} + - {column: E, row: 3407, expected_value: Total, label: employment type} + - {column: J, row: 3407, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3409 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3409, expected_value: E12000001, label: geography} + - {column: D, row: 3409, expected_value: Females, label: sex} + - {column: E, row: 3409, expected_value: Total, label: employment type} + - {column: J, row: 3409, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3411 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3411, expected_value: E12000001, label: geography} + - {column: D, row: 3411, expected_value: Females, label: sex} + - {column: E, row: 3411, expected_value: Total, label: employment type} + - {column: J, row: 3411, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3413 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3413, expected_value: E12000001, label: geography} + - {column: D, row: 3413, expected_value: Females, label: sex} + - {column: E, row: 3413, expected_value: Total, label: employment type} + - {column: J, row: 3413, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3415 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3415, expected_value: E12000001, label: geography} + - {column: D, row: 3415, expected_value: Females, label: sex} + - {column: E, row: 3415, expected_value: Total, label: employment type} + - {column: J, row: 3415, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3417 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3417, expected_value: E12000001, label: geography} + - {column: D, row: 3417, expected_value: Females, label: sex} + - {column: E, row: 3417, expected_value: Total, label: employment type} + - {column: J, row: 3417, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3419 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3419, expected_value: E12000001, label: geography} + - {column: D, row: 3419, expected_value: Females, label: sex} + - {column: E, row: 3419, expected_value: Total, label: employment type} + - {column: J, row: 3419, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3421 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3421, expected_value: E12000001, label: geography} + - {column: D, row: 3421, expected_value: Females, label: sex} + - {column: E, row: 3421, expected_value: Total, label: employment type} + - {column: J, row: 3421, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3423 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3423, expected_value: E12000001, label: geography} + - {column: D, row: 3423, expected_value: Females, label: sex} + - {column: E, row: 3423, expected_value: Total, label: employment type} + - {column: J, row: 3423, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3431 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3431, expected_value: E12000001, label: geography} + - {column: D, row: 3431, expected_value: Females, label: sex} + - {column: E, row: 3431, expected_value: Total, label: employment type} + - {column: J, row: 3431, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3433 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3433, expected_value: E12000001, label: geography} + - {column: D, row: 3433, expected_value: Females, label: sex} + - {column: E, row: 3433, expected_value: Total, label: employment type} + - {column: J, row: 3433, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3435 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3435, expected_value: E12000001, label: geography} + - {column: D, row: 3435, expected_value: Females, label: sex} + - {column: E, row: 3435, expected_value: Total, label: employment type} + - {column: J, row: 3435, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3437 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3437, expected_value: E12000001, label: geography} + - {column: D, row: 3437, expected_value: Females, label: sex} + - {column: E, row: 3437, expected_value: Total, label: employment type} + - {column: J, row: 3437, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3441 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3441, expected_value: E12000001, label: geography} + - {column: D, row: 3441, expected_value: Females, label: sex} + - {column: E, row: 3441, expected_value: Total, label: employment type} + - {column: J, row: 3441, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3443 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3443, expected_value: E12000001, label: geography} + - {column: D, row: 3443, expected_value: Females, label: sex} + - {column: E, row: 3443, expected_value: Total, label: employment type} + - {column: J, row: 3443, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3445 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3445, expected_value: E12000001, label: geography} + - {column: D, row: 3445, expected_value: Females, label: sex} + - {column: E, row: 3445, expected_value: Total, label: employment type} + - {column: J, row: 3445, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3447 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3447, expected_value: E12000001, label: geography} + - {column: D, row: 3447, expected_value: Females, label: sex} + - {column: E, row: 3447, expected_value: Total, label: employment type} + - {column: J, row: 3447, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3449 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3449, expected_value: E12000001, label: geography} + - {column: D, row: 3449, expected_value: Females, label: sex} + - {column: E, row: 3449, expected_value: Total, label: employment type} + - {column: J, row: 3449, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3453 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3453, expected_value: E12000001, label: geography} + - {column: D, row: 3453, expected_value: Females, label: sex} + - {column: E, row: 3453, expected_value: Total, label: employment type} + - {column: J, row: 3453, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3455 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3455, expected_value: E12000001, label: geography} + - {column: D, row: 3455, expected_value: Females, label: sex} + - {column: E, row: 3455, expected_value: Total, label: employment type} + - {column: J, row: 3455, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3457 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3457, expected_value: E12000001, label: geography} + - {column: D, row: 3457, expected_value: Females, label: sex} + - {column: E, row: 3457, expected_value: Total, label: employment type} + - {column: J, row: 3457, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3602 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3602, expected_value: E12000001, label: geography} + - {column: D, row: 3602, expected_value: Females, label: sex} + - {column: E, row: 3602, expected_value: Employee, label: employment type} + - {column: J, row: 3602, expected_value: Value, label: measure} + - {column: L, row: 3603, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3604 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3604, expected_value: E12000001, label: geography} + - {column: D, row: 3604, expected_value: Females, label: sex} + - {column: E, row: 3604, expected_value: Employee, label: employment type} + - {column: J, row: 3604, expected_value: Value, label: measure} + - {column: L, row: 3605, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3606 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3606, expected_value: E12000001, label: geography} + - {column: D, row: 3606, expected_value: Females, label: sex} + - {column: E, row: 3606, expected_value: Employee, label: employment type} + - {column: J, row: 3606, expected_value: Value, label: measure} + - {column: L, row: 3607, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3608 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3608, expected_value: E12000001, label: geography} + - {column: D, row: 3608, expected_value: Females, label: sex} + - {column: E, row: 3608, expected_value: Employee, label: employment type} + - {column: J, row: 3608, expected_value: Value, label: measure} + - {column: L, row: 3609, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3610 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3610, expected_value: E12000001, label: geography} + - {column: D, row: 3610, expected_value: Females, label: sex} + - {column: E, row: 3610, expected_value: Employee, label: employment type} + - {column: J, row: 3610, expected_value: Value, label: measure} + - {column: L, row: 3611, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3612 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3612, expected_value: E12000001, label: geography} + - {column: D, row: 3612, expected_value: Females, label: sex} + - {column: E, row: 3612, expected_value: Employee, label: employment type} + - {column: J, row: 3612, expected_value: Value, label: measure} + - {column: L, row: 3613, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3614 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3614, expected_value: E12000001, label: geography} + - {column: D, row: 3614, expected_value: Females, label: sex} + - {column: E, row: 3614, expected_value: Employee, label: employment type} + - {column: J, row: 3614, expected_value: Value, label: measure} + - {column: L, row: 3615, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3616 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3616, expected_value: E12000001, label: geography} + - {column: D, row: 3616, expected_value: Females, label: sex} + - {column: E, row: 3616, expected_value: Employee, label: employment type} + - {column: J, row: 3616, expected_value: Value, label: measure} + - {column: L, row: 3617, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3618 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3618, expected_value: E12000001, label: geography} + - {column: D, row: 3618, expected_value: Females, label: sex} + - {column: E, row: 3618, expected_value: Employee, label: employment type} + - {column: J, row: 3618, expected_value: Value, label: measure} + - {column: L, row: 3619, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3620 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3620, expected_value: E12000001, label: geography} + - {column: D, row: 3620, expected_value: Females, label: sex} + - {column: E, row: 3620, expected_value: Employee, label: employment type} + - {column: J, row: 3620, expected_value: Value, label: measure} + - {column: L, row: 3621, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3622 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3622, expected_value: E12000001, label: geography} + - {column: D, row: 3622, expected_value: Females, label: sex} + - {column: E, row: 3622, expected_value: Employee, label: employment type} + - {column: J, row: 3622, expected_value: Value, label: measure} + - {column: L, row: 3623, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3624 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3624, expected_value: E12000001, label: geography} + - {column: D, row: 3624, expected_value: Females, label: sex} + - {column: E, row: 3624, expected_value: Employee, label: employment type} + - {column: J, row: 3624, expected_value: Value, label: measure} + - {column: L, row: 3625, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3626 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3626, expected_value: E12000001, label: geography} + - {column: D, row: 3626, expected_value: Females, label: sex} + - {column: E, row: 3626, expected_value: Employee, label: employment type} + - {column: J, row: 3626, expected_value: Value, label: measure} + - {column: L, row: 3627, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3628 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3628, expected_value: E12000001, label: geography} + - {column: D, row: 3628, expected_value: Females, label: sex} + - {column: E, row: 3628, expected_value: Employee, label: employment type} + - {column: J, row: 3628, expected_value: Value, label: measure} + - {column: L, row: 3629, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3630 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3630, expected_value: E12000001, label: geography} + - {column: D, row: 3630, expected_value: Females, label: sex} + - {column: E, row: 3630, expected_value: Employee, label: employment type} + - {column: J, row: 3630, expected_value: Value, label: measure} + - {column: L, row: 3631, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3632 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3632, expected_value: E12000001, label: geography} + - {column: D, row: 3632, expected_value: Females, label: sex} + - {column: E, row: 3632, expected_value: Employee, label: employment type} + - {column: J, row: 3632, expected_value: Value, label: measure} + - {column: L, row: 3633, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3634 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3634, expected_value: E12000001, label: geography} + - {column: D, row: 3634, expected_value: Females, label: sex} + - {column: E, row: 3634, expected_value: Employee, label: employment type} + - {column: J, row: 3634, expected_value: Value, label: measure} + - {column: L, row: 3635, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3636 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3636, expected_value: E12000001, label: geography} + - {column: D, row: 3636, expected_value: Females, label: sex} + - {column: E, row: 3636, expected_value: Employee, label: employment type} + - {column: J, row: 3636, expected_value: Value, label: measure} + - {column: L, row: 3637, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3638 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3638, expected_value: E12000001, label: geography} + - {column: D, row: 3638, expected_value: Females, label: sex} + - {column: E, row: 3638, expected_value: Employee, label: employment type} + - {column: J, row: 3638, expected_value: Value, label: measure} + - {column: L, row: 3639, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3640 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3640, expected_value: E12000001, label: geography} + - {column: D, row: 3640, expected_value: Females, label: sex} + - {column: E, row: 3640, expected_value: Employee, label: employment type} + - {column: J, row: 3640, expected_value: Value, label: measure} + - {column: L, row: 3641, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3642 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3642, expected_value: E12000001, label: geography} + - {column: D, row: 3642, expected_value: Females, label: sex} + - {column: E, row: 3642, expected_value: Employee, label: employment type} + - {column: J, row: 3642, expected_value: Value, label: measure} + - {column: L, row: 3643, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3644 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3644, expected_value: E12000001, label: geography} + - {column: D, row: 3644, expected_value: Females, label: sex} + - {column: E, row: 3644, expected_value: Employee, label: employment type} + - {column: J, row: 3644, expected_value: Value, label: measure} + - {column: L, row: 3645, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3646 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3646, expected_value: E12000001, label: geography} + - {column: D, row: 3646, expected_value: Females, label: sex} + - {column: E, row: 3646, expected_value: Employee, label: employment type} + - {column: J, row: 3646, expected_value: Value, label: measure} + - {column: L, row: 3647, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3648 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3648, expected_value: E12000001, label: geography} + - {column: D, row: 3648, expected_value: Females, label: sex} + - {column: E, row: 3648, expected_value: Employee, label: employment type} + - {column: J, row: 3648, expected_value: Value, label: measure} + - {column: L, row: 3649, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3650 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3650, expected_value: E12000001, label: geography} + - {column: D, row: 3650, expected_value: Females, label: sex} + - {column: E, row: 3650, expected_value: Employee, label: employment type} + - {column: J, row: 3650, expected_value: Value, label: measure} + - {column: L, row: 3651, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3652 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3652, expected_value: E12000001, label: geography} + - {column: D, row: 3652, expected_value: Females, label: sex} + - {column: E, row: 3652, expected_value: Employee, label: employment type} + - {column: J, row: 3652, expected_value: Value, label: measure} + - {column: L, row: 3653, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3656 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3656, expected_value: E12000001, label: geography} + - {column: D, row: 3656, expected_value: Females, label: sex} + - {column: E, row: 3656, expected_value: Employee, label: employment type} + - {column: J, row: 3656, expected_value: Value, label: measure} + - {column: L, row: 3657, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3658 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3658, expected_value: E12000001, label: geography} + - {column: D, row: 3658, expected_value: Females, label: sex} + - {column: E, row: 3658, expected_value: Employee, label: employment type} + - {column: J, row: 3658, expected_value: Value, label: measure} + - {column: L, row: 3659, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3660 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3660, expected_value: E12000001, label: geography} + - {column: D, row: 3660, expected_value: Females, label: sex} + - {column: E, row: 3660, expected_value: Employee, label: employment type} + - {column: J, row: 3660, expected_value: Value, label: measure} + - {column: L, row: 3661, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3662 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3662, expected_value: E12000001, label: geography} + - {column: D, row: 3662, expected_value: Females, label: sex} + - {column: E, row: 3662, expected_value: Employee, label: employment type} + - {column: J, row: 3662, expected_value: Value, label: measure} + - {column: L, row: 3663, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3664 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3664, expected_value: E12000001, label: geography} + - {column: D, row: 3664, expected_value: Females, label: sex} + - {column: E, row: 3664, expected_value: Employee, label: employment type} + - {column: J, row: 3664, expected_value: Value, label: measure} + - {column: L, row: 3665, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3666 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3666, expected_value: E12000001, label: geography} + - {column: D, row: 3666, expected_value: Females, label: sex} + - {column: E, row: 3666, expected_value: Employee, label: employment type} + - {column: J, row: 3666, expected_value: Value, label: measure} + - {column: L, row: 3667, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3668 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3668, expected_value: E12000001, label: geography} + - {column: D, row: 3668, expected_value: Females, label: sex} + - {column: E, row: 3668, expected_value: Employee, label: employment type} + - {column: J, row: 3668, expected_value: Value, label: measure} + - {column: L, row: 3669, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3670 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3670, expected_value: E12000001, label: geography} + - {column: D, row: 3670, expected_value: Females, label: sex} + - {column: E, row: 3670, expected_value: Employee, label: employment type} + - {column: J, row: 3670, expected_value: Value, label: measure} + - {column: L, row: 3671, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3672 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3672, expected_value: E12000001, label: geography} + - {column: D, row: 3672, expected_value: Females, label: sex} + - {column: E, row: 3672, expected_value: Employee, label: employment type} + - {column: J, row: 3672, expected_value: Value, label: measure} + - {column: L, row: 3673, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3603 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3603, expected_value: E12000001, label: geography} + - {column: D, row: 3603, expected_value: Females, label: sex} + - {column: E, row: 3603, expected_value: Employee, label: employment type} + - {column: J, row: 3603, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3605 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3605, expected_value: E12000001, label: geography} + - {column: D, row: 3605, expected_value: Females, label: sex} + - {column: E, row: 3605, expected_value: Employee, label: employment type} + - {column: J, row: 3605, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3607 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3607, expected_value: E12000001, label: geography} + - {column: D, row: 3607, expected_value: Females, label: sex} + - {column: E, row: 3607, expected_value: Employee, label: employment type} + - {column: J, row: 3607, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3609 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3609, expected_value: E12000001, label: geography} + - {column: D, row: 3609, expected_value: Females, label: sex} + - {column: E, row: 3609, expected_value: Employee, label: employment type} + - {column: J, row: 3609, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3611 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3611, expected_value: E12000001, label: geography} + - {column: D, row: 3611, expected_value: Females, label: sex} + - {column: E, row: 3611, expected_value: Employee, label: employment type} + - {column: J, row: 3611, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3613 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3613, expected_value: E12000001, label: geography} + - {column: D, row: 3613, expected_value: Females, label: sex} + - {column: E, row: 3613, expected_value: Employee, label: employment type} + - {column: J, row: 3613, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3615 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3615, expected_value: E12000001, label: geography} + - {column: D, row: 3615, expected_value: Females, label: sex} + - {column: E, row: 3615, expected_value: Employee, label: employment type} + - {column: J, row: 3615, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3617 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3617, expected_value: E12000001, label: geography} + - {column: D, row: 3617, expected_value: Females, label: sex} + - {column: E, row: 3617, expected_value: Employee, label: employment type} + - {column: J, row: 3617, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3619 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3619, expected_value: E12000001, label: geography} + - {column: D, row: 3619, expected_value: Females, label: sex} + - {column: E, row: 3619, expected_value: Employee, label: employment type} + - {column: J, row: 3619, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3621 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3621, expected_value: E12000001, label: geography} + - {column: D, row: 3621, expected_value: Females, label: sex} + - {column: E, row: 3621, expected_value: Employee, label: employment type} + - {column: J, row: 3621, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3623 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3623, expected_value: E12000001, label: geography} + - {column: D, row: 3623, expected_value: Females, label: sex} + - {column: E, row: 3623, expected_value: Employee, label: employment type} + - {column: J, row: 3623, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3625 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3625, expected_value: E12000001, label: geography} + - {column: D, row: 3625, expected_value: Females, label: sex} + - {column: E, row: 3625, expected_value: Employee, label: employment type} + - {column: J, row: 3625, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3627 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3627, expected_value: E12000001, label: geography} + - {column: D, row: 3627, expected_value: Females, label: sex} + - {column: E, row: 3627, expected_value: Employee, label: employment type} + - {column: J, row: 3627, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3629 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3629, expected_value: E12000001, label: geography} + - {column: D, row: 3629, expected_value: Females, label: sex} + - {column: E, row: 3629, expected_value: Employee, label: employment type} + - {column: J, row: 3629, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3631 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3631, expected_value: E12000001, label: geography} + - {column: D, row: 3631, expected_value: Females, label: sex} + - {column: E, row: 3631, expected_value: Employee, label: employment type} + - {column: J, row: 3631, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3633 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3633, expected_value: E12000001, label: geography} + - {column: D, row: 3633, expected_value: Females, label: sex} + - {column: E, row: 3633, expected_value: Employee, label: employment type} + - {column: J, row: 3633, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3635 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3635, expected_value: E12000001, label: geography} + - {column: D, row: 3635, expected_value: Females, label: sex} + - {column: E, row: 3635, expected_value: Employee, label: employment type} + - {column: J, row: 3635, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3637 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3637, expected_value: E12000001, label: geography} + - {column: D, row: 3637, expected_value: Females, label: sex} + - {column: E, row: 3637, expected_value: Employee, label: employment type} + - {column: J, row: 3637, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3639 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3639, expected_value: E12000001, label: geography} + - {column: D, row: 3639, expected_value: Females, label: sex} + - {column: E, row: 3639, expected_value: Employee, label: employment type} + - {column: J, row: 3639, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3647 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3647, expected_value: E12000001, label: geography} + - {column: D, row: 3647, expected_value: Females, label: sex} + - {column: E, row: 3647, expected_value: Employee, label: employment type} + - {column: J, row: 3647, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3649 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3649, expected_value: E12000001, label: geography} + - {column: D, row: 3649, expected_value: Females, label: sex} + - {column: E, row: 3649, expected_value: Employee, label: employment type} + - {column: J, row: 3649, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3651 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3651, expected_value: E12000001, label: geography} + - {column: D, row: 3651, expected_value: Females, label: sex} + - {column: E, row: 3651, expected_value: Employee, label: employment type} + - {column: J, row: 3651, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3653 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3653, expected_value: E12000001, label: geography} + - {column: D, row: 3653, expected_value: Females, label: sex} + - {column: E, row: 3653, expected_value: Employee, label: employment type} + - {column: J, row: 3653, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3657 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3657, expected_value: E12000001, label: geography} + - {column: D, row: 3657, expected_value: Females, label: sex} + - {column: E, row: 3657, expected_value: Employee, label: employment type} + - {column: J, row: 3657, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3659 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3659, expected_value: E12000001, label: geography} + - {column: D, row: 3659, expected_value: Females, label: sex} + - {column: E, row: 3659, expected_value: Employee, label: employment type} + - {column: J, row: 3659, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3661 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3661, expected_value: E12000001, label: geography} + - {column: D, row: 3661, expected_value: Females, label: sex} + - {column: E, row: 3661, expected_value: Employee, label: employment type} + - {column: J, row: 3661, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3663 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3663, expected_value: E12000001, label: geography} + - {column: D, row: 3663, expected_value: Females, label: sex} + - {column: E, row: 3663, expected_value: Employee, label: employment type} + - {column: J, row: 3663, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3665 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3665, expected_value: E12000001, label: geography} + - {column: D, row: 3665, expected_value: Females, label: sex} + - {column: E, row: 3665, expected_value: Employee, label: employment type} + - {column: J, row: 3665, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3669 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3669, expected_value: E12000001, label: geography} + - {column: D, row: 3669, expected_value: Females, label: sex} + - {column: E, row: 3669, expected_value: Employee, label: employment type} + - {column: J, row: 3669, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3673 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3673, expected_value: E12000001, label: geography} + - {column: D, row: 3673, expected_value: Females, label: sex} + - {column: E, row: 3673, expected_value: Employee, label: employment type} + - {column: J, row: 3673, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3818 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3818, expected_value: E12000001, label: geography} + - {column: D, row: 3818, expected_value: Females, label: sex} + - {column: E, row: 3818, expected_value: Self-employed, label: employment type} + - {column: J, row: 3818, expected_value: Value, label: measure} + - {column: L, row: 3819, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3820 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3820, expected_value: E12000001, label: geography} + - {column: D, row: 3820, expected_value: Females, label: sex} + - {column: E, row: 3820, expected_value: Self-employed, label: employment type} + - {column: J, row: 3820, expected_value: Value, label: measure} + - {column: L, row: 3821, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3822 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3822, expected_value: E12000001, label: geography} + - {column: D, row: 3822, expected_value: Females, label: sex} + - {column: E, row: 3822, expected_value: Self-employed, label: employment type} + - {column: J, row: 3822, expected_value: Value, label: measure} + - {column: L, row: 3823, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3824 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3824, expected_value: E12000001, label: geography} + - {column: D, row: 3824, expected_value: Females, label: sex} + - {column: E, row: 3824, expected_value: Self-employed, label: employment type} + - {column: J, row: 3824, expected_value: Value, label: measure} + - {column: L, row: 3825, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3826 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3826, expected_value: E12000001, label: geography} + - {column: D, row: 3826, expected_value: Females, label: sex} + - {column: E, row: 3826, expected_value: Self-employed, label: employment type} + - {column: J, row: 3826, expected_value: Value, label: measure} + - {column: L, row: 3827, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3830 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3830, expected_value: E12000001, label: geography} + - {column: D, row: 3830, expected_value: Females, label: sex} + - {column: E, row: 3830, expected_value: Self-employed, label: employment type} + - {column: J, row: 3830, expected_value: Value, label: measure} + - {column: L, row: 3831, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3832 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3832, expected_value: E12000001, label: geography} + - {column: D, row: 3832, expected_value: Females, label: sex} + - {column: E, row: 3832, expected_value: Self-employed, label: employment type} + - {column: J, row: 3832, expected_value: Value, label: measure} + - {column: L, row: 3833, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3834 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3834, expected_value: E12000001, label: geography} + - {column: D, row: 3834, expected_value: Females, label: sex} + - {column: E, row: 3834, expected_value: Self-employed, label: employment type} + - {column: J, row: 3834, expected_value: Value, label: measure} + - {column: L, row: 3835, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3836 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3836, expected_value: E12000001, label: geography} + - {column: D, row: 3836, expected_value: Females, label: sex} + - {column: E, row: 3836, expected_value: Self-employed, label: employment type} + - {column: J, row: 3836, expected_value: Value, label: measure} + - {column: L, row: 3837, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3840 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3840, expected_value: E12000001, label: geography} + - {column: D, row: 3840, expected_value: Females, label: sex} + - {column: E, row: 3840, expected_value: Self-employed, label: employment type} + - {column: J, row: 3840, expected_value: Value, label: measure} + - {column: L, row: 3841, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3844 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3844, expected_value: E12000001, label: geography} + - {column: D, row: 3844, expected_value: Females, label: sex} + - {column: E, row: 3844, expected_value: Self-employed, label: employment type} + - {column: J, row: 3844, expected_value: Value, label: measure} + - {column: L, row: 3845, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3846 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3846, expected_value: E12000001, label: geography} + - {column: D, row: 3846, expected_value: Females, label: sex} + - {column: E, row: 3846, expected_value: Self-employed, label: employment type} + - {column: J, row: 3846, expected_value: Value, label: measure} + - {column: L, row: 3847, expected_value: G, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3848 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3848, expected_value: E12000001, label: geography} + - {column: D, row: 3848, expected_value: Females, label: sex} + - {column: E, row: 3848, expected_value: Self-employed, label: employment type} + - {column: J, row: 3848, expected_value: Value, label: measure} + - {column: L, row: 3849, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3850 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3850, expected_value: E12000001, label: geography} + - {column: D, row: 3850, expected_value: Females, label: sex} + - {column: E, row: 3850, expected_value: Self-employed, label: employment type} + - {column: J, row: 3850, expected_value: Value, label: measure} + - {column: L, row: 3851, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3854 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3854, expected_value: E12000001, label: geography} + - {column: D, row: 3854, expected_value: Females, label: sex} + - {column: E, row: 3854, expected_value: Self-employed, label: employment type} + - {column: J, row: 3854, expected_value: Value, label: measure} + - {column: L, row: 3855, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3856 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3856, expected_value: E12000001, label: geography} + - {column: D, row: 3856, expected_value: Females, label: sex} + - {column: E, row: 3856, expected_value: Self-employed, label: employment type} + - {column: J, row: 3856, expected_value: Value, label: measure} + - {column: L, row: 3857, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3862 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3862, expected_value: E12000001, label: geography} + - {column: D, row: 3862, expected_value: Females, label: sex} + - {column: E, row: 3862, expected_value: Self-employed, label: employment type} + - {column: J, row: 3862, expected_value: Value, label: measure} + - {column: L, row: 3863, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3864 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3864, expected_value: E12000001, label: geography} + - {column: D, row: 3864, expected_value: Females, label: sex} + - {column: E, row: 3864, expected_value: Self-employed, label: employment type} + - {column: J, row: 3864, expected_value: Value, label: measure} + - {column: L, row: 3865, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3866 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3866, expected_value: E12000001, label: geography} + - {column: D, row: 3866, expected_value: Females, label: sex} + - {column: E, row: 3866, expected_value: Self-employed, label: employment type} + - {column: J, row: 3866, expected_value: Value, label: measure} + - {column: L, row: 3867, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3868 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3868, expected_value: E12000001, label: geography} + - {column: D, row: 3868, expected_value: Females, label: sex} + - {column: E, row: 3868, expected_value: Self-employed, label: employment type} + - {column: J, row: 3868, expected_value: Value, label: measure} + - {column: L, row: 3869, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3872 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3872, expected_value: E12000001, label: geography} + - {column: D, row: 3872, expected_value: Females, label: sex} + - {column: E, row: 3872, expected_value: Self-employed, label: employment type} + - {column: J, row: 3872, expected_value: Value, label: measure} + - {column: L, row: 3873, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3874 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3874, expected_value: E12000001, label: geography} + - {column: D, row: 3874, expected_value: Females, label: sex} + - {column: E, row: 3874, expected_value: Self-employed, label: employment type} + - {column: J, row: 3874, expected_value: Value, label: measure} + - {column: L, row: 3875, expected_value: G, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3876 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3876, expected_value: E12000001, label: geography} + - {column: D, row: 3876, expected_value: Females, label: sex} + - {column: E, row: 3876, expected_value: Self-employed, label: employment type} + - {column: J, row: 3876, expected_value: Value, label: measure} + - {column: L, row: 3877, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3878 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3878, expected_value: E12000001, label: geography} + - {column: D, row: 3878, expected_value: Females, label: sex} + - {column: E, row: 3878, expected_value: Self-employed, label: employment type} + - {column: J, row: 3878, expected_value: Value, label: measure} + - {column: L, row: 3879, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3884 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3884, expected_value: E12000001, label: geography} + - {column: D, row: 3884, expected_value: Females, label: sex} + - {column: E, row: 3884, expected_value: Self-employed, label: employment type} + - {column: J, row: 3884, expected_value: Value, label: measure} + - {column: L, row: 3885, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3888 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3888, expected_value: E12000001, label: geography} + - {column: D, row: 3888, expected_value: Females, label: sex} + - {column: E, row: 3888, expected_value: Self-employed, label: employment type} + - {column: J, row: 3888, expected_value: Value, label: measure} + - {column: L, row: 3889, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000001.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000001.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000001.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000001 + geography_level: region + geography_name: North East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3819 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3819, expected_value: E12000001, label: geography} + - {column: D, row: 3819, expected_value: Females, label: sex} + - {column: E, row: 3819, expected_value: Self-employed, label: employment type} + - {column: J, row: 3819, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3821 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3821, expected_value: E12000001, label: geography} + - {column: D, row: 3821, expected_value: Females, label: sex} + - {column: E, row: 3821, expected_value: Self-employed, label: employment type} + - {column: J, row: 3821, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3823 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3823, expected_value: E12000001, label: geography} + - {column: D, row: 3823, expected_value: Females, label: sex} + - {column: E, row: 3823, expected_value: Self-employed, label: employment type} + - {column: J, row: 3823, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3825 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3825, expected_value: E12000001, label: geography} + - {column: D, row: 3825, expected_value: Females, label: sex} + - {column: E, row: 3825, expected_value: Self-employed, label: employment type} + - {column: J, row: 3825, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3827 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3827, expected_value: E12000001, label: geography} + - {column: D, row: 3827, expected_value: Females, label: sex} + - {column: E, row: 3827, expected_value: Self-employed, label: employment type} + - {column: J, row: 3827, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3835 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3835, expected_value: E12000001, label: geography} + - {column: D, row: 3835, expected_value: Females, label: sex} + - {column: E, row: 3835, expected_value: Self-employed, label: employment type} + - {column: J, row: 3835, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3837 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3837, expected_value: E12000001, label: geography} + - {column: D, row: 3837, expected_value: Females, label: sex} + - {column: E, row: 3837, expected_value: Self-employed, label: employment type} + - {column: J, row: 3837, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3845 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3845, expected_value: E12000001, label: geography} + - {column: D, row: 3845, expected_value: Females, label: sex} + - {column: E, row: 3845, expected_value: Self-employed, label: employment type} + - {column: J, row: 3845, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3849 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3849, expected_value: E12000001, label: geography} + - {column: D, row: 3849, expected_value: Females, label: sex} + - {column: E, row: 3849, expected_value: Self-employed, label: employment type} + - {column: J, row: 3849, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3851 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3851, expected_value: E12000001, label: geography} + - {column: D, row: 3851, expected_value: Females, label: sex} + - {column: E, row: 3851, expected_value: Self-employed, label: employment type} + - {column: J, row: 3851, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3855 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3855, expected_value: E12000001, label: geography} + - {column: D, row: 3855, expected_value: Females, label: sex} + - {column: E, row: 3855, expected_value: Self-employed, label: employment type} + - {column: J, row: 3855, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3865 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3865, expected_value: E12000001, label: geography} + - {column: D, row: 3865, expected_value: Females, label: sex} + - {column: E, row: 3865, expected_value: Self-employed, label: employment type} + - {column: J, row: 3865, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3867 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3867, expected_value: E12000001, label: geography} + - {column: D, row: 3867, expected_value: Females, label: sex} + - {column: E, row: 3867, expected_value: Self-employed, label: employment type} + - {column: J, row: 3867, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3869 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3869, expected_value: E12000001, label: geography} + - {column: D, row: 3869, expected_value: Females, label: sex} + - {column: E, row: 3869, expected_value: Self-employed, label: employment type} + - {column: J, row: 3869, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3873 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3873, expected_value: E12000001, label: geography} + - {column: D, row: 3873, expected_value: Females, label: sex} + - {column: E, row: 3873, expected_value: Self-employed, label: employment type} + - {column: J, row: 3873, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3885 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3885, expected_value: E12000001, label: geography} + - {column: D, row: 3885, expected_value: Females, label: sex} + - {column: E, row: 3885, expected_value: Self-employed, label: employment type} + - {column: J, row: 3885, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3889 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3889, expected_value: E12000001, label: geography} + - {column: D, row: 3889, expected_value: Females, label: sex} + - {column: E, row: 3889, expected_value: Self-employed, label: employment type} + - {column: J, row: 3889, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3890 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3890, expected_value: E12000002, label: geography} + - {column: D, row: 3890, expected_value: All persons, label: sex} + - {column: E, row: 3890, expected_value: Total, label: employment type} + - {column: J, row: 3890, expected_value: Value, label: measure} + - {column: L, row: 3891, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3892 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3892, expected_value: E12000002, label: geography} + - {column: D, row: 3892, expected_value: All persons, label: sex} + - {column: E, row: 3892, expected_value: Total, label: employment type} + - {column: J, row: 3892, expected_value: Value, label: measure} + - {column: L, row: 3893, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3894 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3894, expected_value: E12000002, label: geography} + - {column: D, row: 3894, expected_value: All persons, label: sex} + - {column: E, row: 3894, expected_value: Total, label: employment type} + - {column: J, row: 3894, expected_value: Value, label: measure} + - {column: L, row: 3895, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3896 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3896, expected_value: E12000002, label: geography} + - {column: D, row: 3896, expected_value: All persons, label: sex} + - {column: E, row: 3896, expected_value: Total, label: employment type} + - {column: J, row: 3896, expected_value: Value, label: measure} + - {column: L, row: 3897, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3898 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3898, expected_value: E12000002, label: geography} + - {column: D, row: 3898, expected_value: All persons, label: sex} + - {column: E, row: 3898, expected_value: Total, label: employment type} + - {column: J, row: 3898, expected_value: Value, label: measure} + - {column: L, row: 3899, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3900 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3900, expected_value: E12000002, label: geography} + - {column: D, row: 3900, expected_value: All persons, label: sex} + - {column: E, row: 3900, expected_value: Total, label: employment type} + - {column: J, row: 3900, expected_value: Value, label: measure} + - {column: L, row: 3901, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3902 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3902, expected_value: E12000002, label: geography} + - {column: D, row: 3902, expected_value: All persons, label: sex} + - {column: E, row: 3902, expected_value: Total, label: employment type} + - {column: J, row: 3902, expected_value: Value, label: measure} + - {column: L, row: 3903, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3904 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3904, expected_value: E12000002, label: geography} + - {column: D, row: 3904, expected_value: All persons, label: sex} + - {column: E, row: 3904, expected_value: Total, label: employment type} + - {column: J, row: 3904, expected_value: Value, label: measure} + - {column: L, row: 3905, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3906 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3906, expected_value: E12000002, label: geography} + - {column: D, row: 3906, expected_value: All persons, label: sex} + - {column: E, row: 3906, expected_value: Total, label: employment type} + - {column: J, row: 3906, expected_value: Value, label: measure} + - {column: L, row: 3907, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3908 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3908, expected_value: E12000002, label: geography} + - {column: D, row: 3908, expected_value: All persons, label: sex} + - {column: E, row: 3908, expected_value: Total, label: employment type} + - {column: J, row: 3908, expected_value: Value, label: measure} + - {column: L, row: 3909, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3910 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3910, expected_value: E12000002, label: geography} + - {column: D, row: 3910, expected_value: All persons, label: sex} + - {column: E, row: 3910, expected_value: Total, label: employment type} + - {column: J, row: 3910, expected_value: Value, label: measure} + - {column: L, row: 3911, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3912 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3912, expected_value: E12000002, label: geography} + - {column: D, row: 3912, expected_value: All persons, label: sex} + - {column: E, row: 3912, expected_value: Total, label: employment type} + - {column: J, row: 3912, expected_value: Value, label: measure} + - {column: L, row: 3913, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3914 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3914, expected_value: E12000002, label: geography} + - {column: D, row: 3914, expected_value: All persons, label: sex} + - {column: E, row: 3914, expected_value: Total, label: employment type} + - {column: J, row: 3914, expected_value: Value, label: measure} + - {column: L, row: 3915, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3916 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3916, expected_value: E12000002, label: geography} + - {column: D, row: 3916, expected_value: All persons, label: sex} + - {column: E, row: 3916, expected_value: Total, label: employment type} + - {column: J, row: 3916, expected_value: Value, label: measure} + - {column: L, row: 3917, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3918 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3918, expected_value: E12000002, label: geography} + - {column: D, row: 3918, expected_value: All persons, label: sex} + - {column: E, row: 3918, expected_value: Total, label: employment type} + - {column: J, row: 3918, expected_value: Value, label: measure} + - {column: L, row: 3919, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3920 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3920, expected_value: E12000002, label: geography} + - {column: D, row: 3920, expected_value: All persons, label: sex} + - {column: E, row: 3920, expected_value: Total, label: employment type} + - {column: J, row: 3920, expected_value: Value, label: measure} + - {column: L, row: 3921, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3922 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3922, expected_value: E12000002, label: geography} + - {column: D, row: 3922, expected_value: All persons, label: sex} + - {column: E, row: 3922, expected_value: Total, label: employment type} + - {column: J, row: 3922, expected_value: Value, label: measure} + - {column: L, row: 3923, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3924 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3924, expected_value: E12000002, label: geography} + - {column: D, row: 3924, expected_value: All persons, label: sex} + - {column: E, row: 3924, expected_value: Total, label: employment type} + - {column: J, row: 3924, expected_value: Value, label: measure} + - {column: L, row: 3925, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3926 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3926, expected_value: E12000002, label: geography} + - {column: D, row: 3926, expected_value: All persons, label: sex} + - {column: E, row: 3926, expected_value: Total, label: employment type} + - {column: J, row: 3926, expected_value: Value, label: measure} + - {column: L, row: 3927, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3928 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3928, expected_value: E12000002, label: geography} + - {column: D, row: 3928, expected_value: All persons, label: sex} + - {column: E, row: 3928, expected_value: Total, label: employment type} + - {column: J, row: 3928, expected_value: Value, label: measure} + - {column: L, row: 3929, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3930 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3930, expected_value: E12000002, label: geography} + - {column: D, row: 3930, expected_value: All persons, label: sex} + - {column: E, row: 3930, expected_value: Total, label: employment type} + - {column: J, row: 3930, expected_value: Value, label: measure} + - {column: L, row: 3931, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3932 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3932, expected_value: E12000002, label: geography} + - {column: D, row: 3932, expected_value: All persons, label: sex} + - {column: E, row: 3932, expected_value: Total, label: employment type} + - {column: J, row: 3932, expected_value: Value, label: measure} + - {column: L, row: 3933, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3934 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3934, expected_value: E12000002, label: geography} + - {column: D, row: 3934, expected_value: All persons, label: sex} + - {column: E, row: 3934, expected_value: Total, label: employment type} + - {column: J, row: 3934, expected_value: Value, label: measure} + - {column: L, row: 3935, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3936 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3936, expected_value: E12000002, label: geography} + - {column: D, row: 3936, expected_value: All persons, label: sex} + - {column: E, row: 3936, expected_value: Total, label: employment type} + - {column: J, row: 3936, expected_value: Value, label: measure} + - {column: L, row: 3937, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3938 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3938, expected_value: E12000002, label: geography} + - {column: D, row: 3938, expected_value: All persons, label: sex} + - {column: E, row: 3938, expected_value: Total, label: employment type} + - {column: J, row: 3938, expected_value: Value, label: measure} + - {column: L, row: 3939, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3940 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3940, expected_value: E12000002, label: geography} + - {column: D, row: 3940, expected_value: All persons, label: sex} + - {column: E, row: 3940, expected_value: Total, label: employment type} + - {column: J, row: 3940, expected_value: Value, label: measure} + - {column: L, row: 3941, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 3942 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 3942, expected_value: E12000002, label: geography} + - {column: D, row: 3942, expected_value: All persons, label: sex} + - {column: E, row: 3942, expected_value: Total, label: employment type} + - {column: J, row: 3942, expected_value: Value, label: measure} + - {column: L, row: 3943, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3944 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3944, expected_value: E12000002, label: geography} + - {column: D, row: 3944, expected_value: All persons, label: sex} + - {column: E, row: 3944, expected_value: Total, label: employment type} + - {column: J, row: 3944, expected_value: Value, label: measure} + - {column: L, row: 3945, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3946 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3946, expected_value: E12000002, label: geography} + - {column: D, row: 3946, expected_value: All persons, label: sex} + - {column: E, row: 3946, expected_value: Total, label: employment type} + - {column: J, row: 3946, expected_value: Value, label: measure} + - {column: L, row: 3947, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3948 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3948, expected_value: E12000002, label: geography} + - {column: D, row: 3948, expected_value: All persons, label: sex} + - {column: E, row: 3948, expected_value: Total, label: employment type} + - {column: J, row: 3948, expected_value: Value, label: measure} + - {column: L, row: 3949, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3950 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3950, expected_value: E12000002, label: geography} + - {column: D, row: 3950, expected_value: All persons, label: sex} + - {column: E, row: 3950, expected_value: Total, label: employment type} + - {column: J, row: 3950, expected_value: Value, label: measure} + - {column: L, row: 3951, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3952 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3952, expected_value: E12000002, label: geography} + - {column: D, row: 3952, expected_value: All persons, label: sex} + - {column: E, row: 3952, expected_value: Total, label: employment type} + - {column: J, row: 3952, expected_value: Value, label: measure} + - {column: L, row: 3953, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3954 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3954, expected_value: E12000002, label: geography} + - {column: D, row: 3954, expected_value: All persons, label: sex} + - {column: E, row: 3954, expected_value: Total, label: employment type} + - {column: J, row: 3954, expected_value: Value, label: measure} + - {column: L, row: 3955, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3956 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3956, expected_value: E12000002, label: geography} + - {column: D, row: 3956, expected_value: All persons, label: sex} + - {column: E, row: 3956, expected_value: Total, label: employment type} + - {column: J, row: 3956, expected_value: Value, label: measure} + - {column: L, row: 3957, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3958 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3958, expected_value: E12000002, label: geography} + - {column: D, row: 3958, expected_value: All persons, label: sex} + - {column: E, row: 3958, expected_value: Total, label: employment type} + - {column: J, row: 3958, expected_value: Value, label: measure} + - {column: L, row: 3959, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3960 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3960, expected_value: E12000002, label: geography} + - {column: D, row: 3960, expected_value: All persons, label: sex} + - {column: E, row: 3960, expected_value: Total, label: employment type} + - {column: J, row: 3960, expected_value: Value, label: measure} + - {column: L, row: 3961, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3891 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3891, expected_value: E12000002, label: geography} + - {column: D, row: 3891, expected_value: All persons, label: sex} + - {column: E, row: 3891, expected_value: Total, label: employment type} + - {column: J, row: 3891, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3893 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3893, expected_value: E12000002, label: geography} + - {column: D, row: 3893, expected_value: All persons, label: sex} + - {column: E, row: 3893, expected_value: Total, label: employment type} + - {column: J, row: 3893, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3895 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3895, expected_value: E12000002, label: geography} + - {column: D, row: 3895, expected_value: All persons, label: sex} + - {column: E, row: 3895, expected_value: Total, label: employment type} + - {column: J, row: 3895, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3897 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3897, expected_value: E12000002, label: geography} + - {column: D, row: 3897, expected_value: All persons, label: sex} + - {column: E, row: 3897, expected_value: Total, label: employment type} + - {column: J, row: 3897, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3899 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3899, expected_value: E12000002, label: geography} + - {column: D, row: 3899, expected_value: All persons, label: sex} + - {column: E, row: 3899, expected_value: Total, label: employment type} + - {column: J, row: 3899, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3901 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3901, expected_value: E12000002, label: geography} + - {column: D, row: 3901, expected_value: All persons, label: sex} + - {column: E, row: 3901, expected_value: Total, label: employment type} + - {column: J, row: 3901, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3903 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3903, expected_value: E12000002, label: geography} + - {column: D, row: 3903, expected_value: All persons, label: sex} + - {column: E, row: 3903, expected_value: Total, label: employment type} + - {column: J, row: 3903, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3905 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3905, expected_value: E12000002, label: geography} + - {column: D, row: 3905, expected_value: All persons, label: sex} + - {column: E, row: 3905, expected_value: Total, label: employment type} + - {column: J, row: 3905, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3907 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3907, expected_value: E12000002, label: geography} + - {column: D, row: 3907, expected_value: All persons, label: sex} + - {column: E, row: 3907, expected_value: Total, label: employment type} + - {column: J, row: 3907, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3909 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3909, expected_value: E12000002, label: geography} + - {column: D, row: 3909, expected_value: All persons, label: sex} + - {column: E, row: 3909, expected_value: Total, label: employment type} + - {column: J, row: 3909, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3911 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3911, expected_value: E12000002, label: geography} + - {column: D, row: 3911, expected_value: All persons, label: sex} + - {column: E, row: 3911, expected_value: Total, label: employment type} + - {column: J, row: 3911, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3913 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3913, expected_value: E12000002, label: geography} + - {column: D, row: 3913, expected_value: All persons, label: sex} + - {column: E, row: 3913, expected_value: Total, label: employment type} + - {column: J, row: 3913, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3915 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3915, expected_value: E12000002, label: geography} + - {column: D, row: 3915, expected_value: All persons, label: sex} + - {column: E, row: 3915, expected_value: Total, label: employment type} + - {column: J, row: 3915, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3917 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3917, expected_value: E12000002, label: geography} + - {column: D, row: 3917, expected_value: All persons, label: sex} + - {column: E, row: 3917, expected_value: Total, label: employment type} + - {column: J, row: 3917, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3919 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3919, expected_value: E12000002, label: geography} + - {column: D, row: 3919, expected_value: All persons, label: sex} + - {column: E, row: 3919, expected_value: Total, label: employment type} + - {column: J, row: 3919, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3921 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3921, expected_value: E12000002, label: geography} + - {column: D, row: 3921, expected_value: All persons, label: sex} + - {column: E, row: 3921, expected_value: Total, label: employment type} + - {column: J, row: 3921, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3923 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3923, expected_value: E12000002, label: geography} + - {column: D, row: 3923, expected_value: All persons, label: sex} + - {column: E, row: 3923, expected_value: Total, label: employment type} + - {column: J, row: 3923, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3925 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3925, expected_value: E12000002, label: geography} + - {column: D, row: 3925, expected_value: All persons, label: sex} + - {column: E, row: 3925, expected_value: Total, label: employment type} + - {column: J, row: 3925, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3927 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3927, expected_value: E12000002, label: geography} + - {column: D, row: 3927, expected_value: All persons, label: sex} + - {column: E, row: 3927, expected_value: Total, label: employment type} + - {column: J, row: 3927, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 3929 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 3929, expected_value: E12000002, label: geography} + - {column: D, row: 3929, expected_value: All persons, label: sex} + - {column: E, row: 3929, expected_value: Total, label: employment type} + - {column: J, row: 3929, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 3931 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 3931, expected_value: E12000002, label: geography} + - {column: D, row: 3931, expected_value: All persons, label: sex} + - {column: E, row: 3931, expected_value: Total, label: employment type} + - {column: J, row: 3931, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 3933 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 3933, expected_value: E12000002, label: geography} + - {column: D, row: 3933, expected_value: All persons, label: sex} + - {column: E, row: 3933, expected_value: Total, label: employment type} + - {column: J, row: 3933, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 3935 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 3935, expected_value: E12000002, label: geography} + - {column: D, row: 3935, expected_value: All persons, label: sex} + - {column: E, row: 3935, expected_value: Total, label: employment type} + - {column: J, row: 3935, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 3937 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 3937, expected_value: E12000002, label: geography} + - {column: D, row: 3937, expected_value: All persons, label: sex} + - {column: E, row: 3937, expected_value: Total, label: employment type} + - {column: J, row: 3937, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 3939 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 3939, expected_value: E12000002, label: geography} + - {column: D, row: 3939, expected_value: All persons, label: sex} + - {column: E, row: 3939, expected_value: Total, label: employment type} + - {column: J, row: 3939, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 3941 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 3941, expected_value: E12000002, label: geography} + - {column: D, row: 3941, expected_value: All persons, label: sex} + - {column: E, row: 3941, expected_value: Total, label: employment type} + - {column: J, row: 3941, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 3945 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 3945, expected_value: E12000002, label: geography} + - {column: D, row: 3945, expected_value: All persons, label: sex} + - {column: E, row: 3945, expected_value: Total, label: employment type} + - {column: J, row: 3945, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 3947 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 3947, expected_value: E12000002, label: geography} + - {column: D, row: 3947, expected_value: All persons, label: sex} + - {column: E, row: 3947, expected_value: Total, label: employment type} + - {column: J, row: 3947, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 3949 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 3949, expected_value: E12000002, label: geography} + - {column: D, row: 3949, expected_value: All persons, label: sex} + - {column: E, row: 3949, expected_value: Total, label: employment type} + - {column: J, row: 3949, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 3951 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 3951, expected_value: E12000002, label: geography} + - {column: D, row: 3951, expected_value: All persons, label: sex} + - {column: E, row: 3951, expected_value: Total, label: employment type} + - {column: J, row: 3951, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 3953 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 3953, expected_value: E12000002, label: geography} + - {column: D, row: 3953, expected_value: All persons, label: sex} + - {column: E, row: 3953, expected_value: Total, label: employment type} + - {column: J, row: 3953, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 3955 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 3955, expected_value: E12000002, label: geography} + - {column: D, row: 3955, expected_value: All persons, label: sex} + - {column: E, row: 3955, expected_value: Total, label: employment type} + - {column: J, row: 3955, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 3957 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 3957, expected_value: E12000002, label: geography} + - {column: D, row: 3957, expected_value: All persons, label: sex} + - {column: E, row: 3957, expected_value: Total, label: employment type} + - {column: J, row: 3957, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 3959 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 3959, expected_value: E12000002, label: geography} + - {column: D, row: 3959, expected_value: All persons, label: sex} + - {column: E, row: 3959, expected_value: Total, label: employment type} + - {column: J, row: 3959, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 3961 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 3961, expected_value: E12000002, label: geography} + - {column: D, row: 3961, expected_value: All persons, label: sex} + - {column: E, row: 3961, expected_value: Total, label: employment type} + - {column: J, row: 3961, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4106 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4106, expected_value: E12000002, label: geography} + - {column: D, row: 4106, expected_value: All persons, label: sex} + - {column: E, row: 4106, expected_value: Employee, label: employment type} + - {column: J, row: 4106, expected_value: Value, label: measure} + - {column: L, row: 4107, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4108 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4108, expected_value: E12000002, label: geography} + - {column: D, row: 4108, expected_value: All persons, label: sex} + - {column: E, row: 4108, expected_value: Employee, label: employment type} + - {column: J, row: 4108, expected_value: Value, label: measure} + - {column: L, row: 4109, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4110 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4110, expected_value: E12000002, label: geography} + - {column: D, row: 4110, expected_value: All persons, label: sex} + - {column: E, row: 4110, expected_value: Employee, label: employment type} + - {column: J, row: 4110, expected_value: Value, label: measure} + - {column: L, row: 4111, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4112 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4112, expected_value: E12000002, label: geography} + - {column: D, row: 4112, expected_value: All persons, label: sex} + - {column: E, row: 4112, expected_value: Employee, label: employment type} + - {column: J, row: 4112, expected_value: Value, label: measure} + - {column: L, row: 4113, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4114 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4114, expected_value: E12000002, label: geography} + - {column: D, row: 4114, expected_value: All persons, label: sex} + - {column: E, row: 4114, expected_value: Employee, label: employment type} + - {column: J, row: 4114, expected_value: Value, label: measure} + - {column: L, row: 4115, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4116 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4116, expected_value: E12000002, label: geography} + - {column: D, row: 4116, expected_value: All persons, label: sex} + - {column: E, row: 4116, expected_value: Employee, label: employment type} + - {column: J, row: 4116, expected_value: Value, label: measure} + - {column: L, row: 4117, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4118 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4118, expected_value: E12000002, label: geography} + - {column: D, row: 4118, expected_value: All persons, label: sex} + - {column: E, row: 4118, expected_value: Employee, label: employment type} + - {column: J, row: 4118, expected_value: Value, label: measure} + - {column: L, row: 4119, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4120 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4120, expected_value: E12000002, label: geography} + - {column: D, row: 4120, expected_value: All persons, label: sex} + - {column: E, row: 4120, expected_value: Employee, label: employment type} + - {column: J, row: 4120, expected_value: Value, label: measure} + - {column: L, row: 4121, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4122 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4122, expected_value: E12000002, label: geography} + - {column: D, row: 4122, expected_value: All persons, label: sex} + - {column: E, row: 4122, expected_value: Employee, label: employment type} + - {column: J, row: 4122, expected_value: Value, label: measure} + - {column: L, row: 4123, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4124 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4124, expected_value: E12000002, label: geography} + - {column: D, row: 4124, expected_value: All persons, label: sex} + - {column: E, row: 4124, expected_value: Employee, label: employment type} + - {column: J, row: 4124, expected_value: Value, label: measure} + - {column: L, row: 4125, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4126 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4126, expected_value: E12000002, label: geography} + - {column: D, row: 4126, expected_value: All persons, label: sex} + - {column: E, row: 4126, expected_value: Employee, label: employment type} + - {column: J, row: 4126, expected_value: Value, label: measure} + - {column: L, row: 4127, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4128 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4128, expected_value: E12000002, label: geography} + - {column: D, row: 4128, expected_value: All persons, label: sex} + - {column: E, row: 4128, expected_value: Employee, label: employment type} + - {column: J, row: 4128, expected_value: Value, label: measure} + - {column: L, row: 4129, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4130 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4130, expected_value: E12000002, label: geography} + - {column: D, row: 4130, expected_value: All persons, label: sex} + - {column: E, row: 4130, expected_value: Employee, label: employment type} + - {column: J, row: 4130, expected_value: Value, label: measure} + - {column: L, row: 4131, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4132 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4132, expected_value: E12000002, label: geography} + - {column: D, row: 4132, expected_value: All persons, label: sex} + - {column: E, row: 4132, expected_value: Employee, label: employment type} + - {column: J, row: 4132, expected_value: Value, label: measure} + - {column: L, row: 4133, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4134 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4134, expected_value: E12000002, label: geography} + - {column: D, row: 4134, expected_value: All persons, label: sex} + - {column: E, row: 4134, expected_value: Employee, label: employment type} + - {column: J, row: 4134, expected_value: Value, label: measure} + - {column: L, row: 4135, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4136 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4136, expected_value: E12000002, label: geography} + - {column: D, row: 4136, expected_value: All persons, label: sex} + - {column: E, row: 4136, expected_value: Employee, label: employment type} + - {column: J, row: 4136, expected_value: Value, label: measure} + - {column: L, row: 4137, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4138 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4138, expected_value: E12000002, label: geography} + - {column: D, row: 4138, expected_value: All persons, label: sex} + - {column: E, row: 4138, expected_value: Employee, label: employment type} + - {column: J, row: 4138, expected_value: Value, label: measure} + - {column: L, row: 4139, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4140 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4140, expected_value: E12000002, label: geography} + - {column: D, row: 4140, expected_value: All persons, label: sex} + - {column: E, row: 4140, expected_value: Employee, label: employment type} + - {column: J, row: 4140, expected_value: Value, label: measure} + - {column: L, row: 4141, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4142 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4142, expected_value: E12000002, label: geography} + - {column: D, row: 4142, expected_value: All persons, label: sex} + - {column: E, row: 4142, expected_value: Employee, label: employment type} + - {column: J, row: 4142, expected_value: Value, label: measure} + - {column: L, row: 4143, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4144 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4144, expected_value: E12000002, label: geography} + - {column: D, row: 4144, expected_value: All persons, label: sex} + - {column: E, row: 4144, expected_value: Employee, label: employment type} + - {column: J, row: 4144, expected_value: Value, label: measure} + - {column: L, row: 4145, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4146 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4146, expected_value: E12000002, label: geography} + - {column: D, row: 4146, expected_value: All persons, label: sex} + - {column: E, row: 4146, expected_value: Employee, label: employment type} + - {column: J, row: 4146, expected_value: Value, label: measure} + - {column: L, row: 4147, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4148 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4148, expected_value: E12000002, label: geography} + - {column: D, row: 4148, expected_value: All persons, label: sex} + - {column: E, row: 4148, expected_value: Employee, label: employment type} + - {column: J, row: 4148, expected_value: Value, label: measure} + - {column: L, row: 4149, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4150 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4150, expected_value: E12000002, label: geography} + - {column: D, row: 4150, expected_value: All persons, label: sex} + - {column: E, row: 4150, expected_value: Employee, label: employment type} + - {column: J, row: 4150, expected_value: Value, label: measure} + - {column: L, row: 4151, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4152 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4152, expected_value: E12000002, label: geography} + - {column: D, row: 4152, expected_value: All persons, label: sex} + - {column: E, row: 4152, expected_value: Employee, label: employment type} + - {column: J, row: 4152, expected_value: Value, label: measure} + - {column: L, row: 4153, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4154 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4154, expected_value: E12000002, label: geography} + - {column: D, row: 4154, expected_value: All persons, label: sex} + - {column: E, row: 4154, expected_value: Employee, label: employment type} + - {column: J, row: 4154, expected_value: Value, label: measure} + - {column: L, row: 4155, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4156 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4156, expected_value: E12000002, label: geography} + - {column: D, row: 4156, expected_value: All persons, label: sex} + - {column: E, row: 4156, expected_value: Employee, label: employment type} + - {column: J, row: 4156, expected_value: Value, label: measure} + - {column: L, row: 4157, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4158 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4158, expected_value: E12000002, label: geography} + - {column: D, row: 4158, expected_value: All persons, label: sex} + - {column: E, row: 4158, expected_value: Employee, label: employment type} + - {column: J, row: 4158, expected_value: Value, label: measure} + - {column: L, row: 4159, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4160 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4160, expected_value: E12000002, label: geography} + - {column: D, row: 4160, expected_value: All persons, label: sex} + - {column: E, row: 4160, expected_value: Employee, label: employment type} + - {column: J, row: 4160, expected_value: Value, label: measure} + - {column: L, row: 4161, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4162 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4162, expected_value: E12000002, label: geography} + - {column: D, row: 4162, expected_value: All persons, label: sex} + - {column: E, row: 4162, expected_value: Employee, label: employment type} + - {column: J, row: 4162, expected_value: Value, label: measure} + - {column: L, row: 4163, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4164 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4164, expected_value: E12000002, label: geography} + - {column: D, row: 4164, expected_value: All persons, label: sex} + - {column: E, row: 4164, expected_value: Employee, label: employment type} + - {column: J, row: 4164, expected_value: Value, label: measure} + - {column: L, row: 4165, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4166 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4166, expected_value: E12000002, label: geography} + - {column: D, row: 4166, expected_value: All persons, label: sex} + - {column: E, row: 4166, expected_value: Employee, label: employment type} + - {column: J, row: 4166, expected_value: Value, label: measure} + - {column: L, row: 4167, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4168 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4168, expected_value: E12000002, label: geography} + - {column: D, row: 4168, expected_value: All persons, label: sex} + - {column: E, row: 4168, expected_value: Employee, label: employment type} + - {column: J, row: 4168, expected_value: Value, label: measure} + - {column: L, row: 4169, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4170 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4170, expected_value: E12000002, label: geography} + - {column: D, row: 4170, expected_value: All persons, label: sex} + - {column: E, row: 4170, expected_value: Employee, label: employment type} + - {column: J, row: 4170, expected_value: Value, label: measure} + - {column: L, row: 4171, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4172 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4172, expected_value: E12000002, label: geography} + - {column: D, row: 4172, expected_value: All persons, label: sex} + - {column: E, row: 4172, expected_value: Employee, label: employment type} + - {column: J, row: 4172, expected_value: Value, label: measure} + - {column: L, row: 4173, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4174 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4174, expected_value: E12000002, label: geography} + - {column: D, row: 4174, expected_value: All persons, label: sex} + - {column: E, row: 4174, expected_value: Employee, label: employment type} + - {column: J, row: 4174, expected_value: Value, label: measure} + - {column: L, row: 4175, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4176 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4176, expected_value: E12000002, label: geography} + - {column: D, row: 4176, expected_value: All persons, label: sex} + - {column: E, row: 4176, expected_value: Employee, label: employment type} + - {column: J, row: 4176, expected_value: Value, label: measure} + - {column: L, row: 4177, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4107 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4107, expected_value: E12000002, label: geography} + - {column: D, row: 4107, expected_value: All persons, label: sex} + - {column: E, row: 4107, expected_value: Employee, label: employment type} + - {column: J, row: 4107, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4109 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4109, expected_value: E12000002, label: geography} + - {column: D, row: 4109, expected_value: All persons, label: sex} + - {column: E, row: 4109, expected_value: Employee, label: employment type} + - {column: J, row: 4109, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4111 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4111, expected_value: E12000002, label: geography} + - {column: D, row: 4111, expected_value: All persons, label: sex} + - {column: E, row: 4111, expected_value: Employee, label: employment type} + - {column: J, row: 4111, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4113 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4113, expected_value: E12000002, label: geography} + - {column: D, row: 4113, expected_value: All persons, label: sex} + - {column: E, row: 4113, expected_value: Employee, label: employment type} + - {column: J, row: 4113, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4115 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4115, expected_value: E12000002, label: geography} + - {column: D, row: 4115, expected_value: All persons, label: sex} + - {column: E, row: 4115, expected_value: Employee, label: employment type} + - {column: J, row: 4115, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4117 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4117, expected_value: E12000002, label: geography} + - {column: D, row: 4117, expected_value: All persons, label: sex} + - {column: E, row: 4117, expected_value: Employee, label: employment type} + - {column: J, row: 4117, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4119 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4119, expected_value: E12000002, label: geography} + - {column: D, row: 4119, expected_value: All persons, label: sex} + - {column: E, row: 4119, expected_value: Employee, label: employment type} + - {column: J, row: 4119, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4121 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4121, expected_value: E12000002, label: geography} + - {column: D, row: 4121, expected_value: All persons, label: sex} + - {column: E, row: 4121, expected_value: Employee, label: employment type} + - {column: J, row: 4121, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4123 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4123, expected_value: E12000002, label: geography} + - {column: D, row: 4123, expected_value: All persons, label: sex} + - {column: E, row: 4123, expected_value: Employee, label: employment type} + - {column: J, row: 4123, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4125 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4125, expected_value: E12000002, label: geography} + - {column: D, row: 4125, expected_value: All persons, label: sex} + - {column: E, row: 4125, expected_value: Employee, label: employment type} + - {column: J, row: 4125, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4127 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4127, expected_value: E12000002, label: geography} + - {column: D, row: 4127, expected_value: All persons, label: sex} + - {column: E, row: 4127, expected_value: Employee, label: employment type} + - {column: J, row: 4127, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4129 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4129, expected_value: E12000002, label: geography} + - {column: D, row: 4129, expected_value: All persons, label: sex} + - {column: E, row: 4129, expected_value: Employee, label: employment type} + - {column: J, row: 4129, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4131 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4131, expected_value: E12000002, label: geography} + - {column: D, row: 4131, expected_value: All persons, label: sex} + - {column: E, row: 4131, expected_value: Employee, label: employment type} + - {column: J, row: 4131, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4133 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4133, expected_value: E12000002, label: geography} + - {column: D, row: 4133, expected_value: All persons, label: sex} + - {column: E, row: 4133, expected_value: Employee, label: employment type} + - {column: J, row: 4133, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4135 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4135, expected_value: E12000002, label: geography} + - {column: D, row: 4135, expected_value: All persons, label: sex} + - {column: E, row: 4135, expected_value: Employee, label: employment type} + - {column: J, row: 4135, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4137 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4137, expected_value: E12000002, label: geography} + - {column: D, row: 4137, expected_value: All persons, label: sex} + - {column: E, row: 4137, expected_value: Employee, label: employment type} + - {column: J, row: 4137, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4139 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4139, expected_value: E12000002, label: geography} + - {column: D, row: 4139, expected_value: All persons, label: sex} + - {column: E, row: 4139, expected_value: Employee, label: employment type} + - {column: J, row: 4139, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4141 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4141, expected_value: E12000002, label: geography} + - {column: D, row: 4141, expected_value: All persons, label: sex} + - {column: E, row: 4141, expected_value: Employee, label: employment type} + - {column: J, row: 4141, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4143 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4143, expected_value: E12000002, label: geography} + - {column: D, row: 4143, expected_value: All persons, label: sex} + - {column: E, row: 4143, expected_value: Employee, label: employment type} + - {column: J, row: 4143, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4145 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4145, expected_value: E12000002, label: geography} + - {column: D, row: 4145, expected_value: All persons, label: sex} + - {column: E, row: 4145, expected_value: Employee, label: employment type} + - {column: J, row: 4145, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4147 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4147, expected_value: E12000002, label: geography} + - {column: D, row: 4147, expected_value: All persons, label: sex} + - {column: E, row: 4147, expected_value: Employee, label: employment type} + - {column: J, row: 4147, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4149 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4149, expected_value: E12000002, label: geography} + - {column: D, row: 4149, expected_value: All persons, label: sex} + - {column: E, row: 4149, expected_value: Employee, label: employment type} + - {column: J, row: 4149, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4151 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4151, expected_value: E12000002, label: geography} + - {column: D, row: 4151, expected_value: All persons, label: sex} + - {column: E, row: 4151, expected_value: Employee, label: employment type} + - {column: J, row: 4151, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4153 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4153, expected_value: E12000002, label: geography} + - {column: D, row: 4153, expected_value: All persons, label: sex} + - {column: E, row: 4153, expected_value: Employee, label: employment type} + - {column: J, row: 4153, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4155 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4155, expected_value: E12000002, label: geography} + - {column: D, row: 4155, expected_value: All persons, label: sex} + - {column: E, row: 4155, expected_value: Employee, label: employment type} + - {column: J, row: 4155, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4157 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4157, expected_value: E12000002, label: geography} + - {column: D, row: 4157, expected_value: All persons, label: sex} + - {column: E, row: 4157, expected_value: Employee, label: employment type} + - {column: J, row: 4157, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4161 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4161, expected_value: E12000002, label: geography} + - {column: D, row: 4161, expected_value: All persons, label: sex} + - {column: E, row: 4161, expected_value: Employee, label: employment type} + - {column: J, row: 4161, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4163 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4163, expected_value: E12000002, label: geography} + - {column: D, row: 4163, expected_value: All persons, label: sex} + - {column: E, row: 4163, expected_value: Employee, label: employment type} + - {column: J, row: 4163, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4165 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4165, expected_value: E12000002, label: geography} + - {column: D, row: 4165, expected_value: All persons, label: sex} + - {column: E, row: 4165, expected_value: Employee, label: employment type} + - {column: J, row: 4165, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4167 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4167, expected_value: E12000002, label: geography} + - {column: D, row: 4167, expected_value: All persons, label: sex} + - {column: E, row: 4167, expected_value: Employee, label: employment type} + - {column: J, row: 4167, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4169 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4169, expected_value: E12000002, label: geography} + - {column: D, row: 4169, expected_value: All persons, label: sex} + - {column: E, row: 4169, expected_value: Employee, label: employment type} + - {column: J, row: 4169, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4171 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4171, expected_value: E12000002, label: geography} + - {column: D, row: 4171, expected_value: All persons, label: sex} + - {column: E, row: 4171, expected_value: Employee, label: employment type} + - {column: J, row: 4171, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4173 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4173, expected_value: E12000002, label: geography} + - {column: D, row: 4173, expected_value: All persons, label: sex} + - {column: E, row: 4173, expected_value: Employee, label: employment type} + - {column: J, row: 4173, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4175 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4175, expected_value: E12000002, label: geography} + - {column: D, row: 4175, expected_value: All persons, label: sex} + - {column: E, row: 4175, expected_value: Employee, label: employment type} + - {column: J, row: 4175, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4177 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4177, expected_value: E12000002, label: geography} + - {column: D, row: 4177, expected_value: All persons, label: sex} + - {column: E, row: 4177, expected_value: Employee, label: employment type} + - {column: J, row: 4177, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4322 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4322, expected_value: E12000002, label: geography} + - {column: D, row: 4322, expected_value: All persons, label: sex} + - {column: E, row: 4322, expected_value: Self-employed, label: employment type} + - {column: J, row: 4322, expected_value: Value, label: measure} + - {column: L, row: 4323, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4324 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4324, expected_value: E12000002, label: geography} + - {column: D, row: 4324, expected_value: All persons, label: sex} + - {column: E, row: 4324, expected_value: Self-employed, label: employment type} + - {column: J, row: 4324, expected_value: Value, label: measure} + - {column: L, row: 4325, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4326 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4326, expected_value: E12000002, label: geography} + - {column: D, row: 4326, expected_value: All persons, label: sex} + - {column: E, row: 4326, expected_value: Self-employed, label: employment type} + - {column: J, row: 4326, expected_value: Value, label: measure} + - {column: L, row: 4327, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4328 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4328, expected_value: E12000002, label: geography} + - {column: D, row: 4328, expected_value: All persons, label: sex} + - {column: E, row: 4328, expected_value: Self-employed, label: employment type} + - {column: J, row: 4328, expected_value: Value, label: measure} + - {column: L, row: 4329, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4330 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4330, expected_value: E12000002, label: geography} + - {column: D, row: 4330, expected_value: All persons, label: sex} + - {column: E, row: 4330, expected_value: Self-employed, label: employment type} + - {column: J, row: 4330, expected_value: Value, label: measure} + - {column: L, row: 4331, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4332 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4332, expected_value: E12000002, label: geography} + - {column: D, row: 4332, expected_value: All persons, label: sex} + - {column: E, row: 4332, expected_value: Self-employed, label: employment type} + - {column: J, row: 4332, expected_value: Value, label: measure} + - {column: L, row: 4333, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4334 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4334, expected_value: E12000002, label: geography} + - {column: D, row: 4334, expected_value: All persons, label: sex} + - {column: E, row: 4334, expected_value: Self-employed, label: employment type} + - {column: J, row: 4334, expected_value: Value, label: measure} + - {column: L, row: 4335, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4336 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4336, expected_value: E12000002, label: geography} + - {column: D, row: 4336, expected_value: All persons, label: sex} + - {column: E, row: 4336, expected_value: Self-employed, label: employment type} + - {column: J, row: 4336, expected_value: Value, label: measure} + - {column: L, row: 4337, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4338 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4338, expected_value: E12000002, label: geography} + - {column: D, row: 4338, expected_value: All persons, label: sex} + - {column: E, row: 4338, expected_value: Self-employed, label: employment type} + - {column: J, row: 4338, expected_value: Value, label: measure} + - {column: L, row: 4339, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4340 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4340, expected_value: E12000002, label: geography} + - {column: D, row: 4340, expected_value: All persons, label: sex} + - {column: E, row: 4340, expected_value: Self-employed, label: employment type} + - {column: J, row: 4340, expected_value: Value, label: measure} + - {column: L, row: 4341, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4342 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4342, expected_value: E12000002, label: geography} + - {column: D, row: 4342, expected_value: All persons, label: sex} + - {column: E, row: 4342, expected_value: Self-employed, label: employment type} + - {column: J, row: 4342, expected_value: Value, label: measure} + - {column: L, row: 4343, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4344 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4344, expected_value: E12000002, label: geography} + - {column: D, row: 4344, expected_value: All persons, label: sex} + - {column: E, row: 4344, expected_value: Self-employed, label: employment type} + - {column: J, row: 4344, expected_value: Value, label: measure} + - {column: L, row: 4345, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4346 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4346, expected_value: E12000002, label: geography} + - {column: D, row: 4346, expected_value: All persons, label: sex} + - {column: E, row: 4346, expected_value: Self-employed, label: employment type} + - {column: J, row: 4346, expected_value: Value, label: measure} + - {column: L, row: 4347, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4348 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4348, expected_value: E12000002, label: geography} + - {column: D, row: 4348, expected_value: All persons, label: sex} + - {column: E, row: 4348, expected_value: Self-employed, label: employment type} + - {column: J, row: 4348, expected_value: Value, label: measure} + - {column: L, row: 4349, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4350 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4350, expected_value: E12000002, label: geography} + - {column: D, row: 4350, expected_value: All persons, label: sex} + - {column: E, row: 4350, expected_value: Self-employed, label: employment type} + - {column: J, row: 4350, expected_value: Value, label: measure} + - {column: L, row: 4351, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4352 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4352, expected_value: E12000002, label: geography} + - {column: D, row: 4352, expected_value: All persons, label: sex} + - {column: E, row: 4352, expected_value: Self-employed, label: employment type} + - {column: J, row: 4352, expected_value: Value, label: measure} + - {column: L, row: 4353, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4354 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4354, expected_value: E12000002, label: geography} + - {column: D, row: 4354, expected_value: All persons, label: sex} + - {column: E, row: 4354, expected_value: Self-employed, label: employment type} + - {column: J, row: 4354, expected_value: Value, label: measure} + - {column: L, row: 4355, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4356 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4356, expected_value: E12000002, label: geography} + - {column: D, row: 4356, expected_value: All persons, label: sex} + - {column: E, row: 4356, expected_value: Self-employed, label: employment type} + - {column: J, row: 4356, expected_value: Value, label: measure} + - {column: L, row: 4357, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4358 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4358, expected_value: E12000002, label: geography} + - {column: D, row: 4358, expected_value: All persons, label: sex} + - {column: E, row: 4358, expected_value: Self-employed, label: employment type} + - {column: J, row: 4358, expected_value: Value, label: measure} + - {column: L, row: 4359, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4360 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4360, expected_value: E12000002, label: geography} + - {column: D, row: 4360, expected_value: All persons, label: sex} + - {column: E, row: 4360, expected_value: Self-employed, label: employment type} + - {column: J, row: 4360, expected_value: Value, label: measure} + - {column: L, row: 4361, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4362 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4362, expected_value: E12000002, label: geography} + - {column: D, row: 4362, expected_value: All persons, label: sex} + - {column: E, row: 4362, expected_value: Self-employed, label: employment type} + - {column: J, row: 4362, expected_value: Value, label: measure} + - {column: L, row: 4363, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4364 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4364, expected_value: E12000002, label: geography} + - {column: D, row: 4364, expected_value: All persons, label: sex} + - {column: E, row: 4364, expected_value: Self-employed, label: employment type} + - {column: J, row: 4364, expected_value: Value, label: measure} + - {column: L, row: 4365, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4366 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4366, expected_value: E12000002, label: geography} + - {column: D, row: 4366, expected_value: All persons, label: sex} + - {column: E, row: 4366, expected_value: Self-employed, label: employment type} + - {column: J, row: 4366, expected_value: Value, label: measure} + - {column: L, row: 4367, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4368 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4368, expected_value: E12000002, label: geography} + - {column: D, row: 4368, expected_value: All persons, label: sex} + - {column: E, row: 4368, expected_value: Self-employed, label: employment type} + - {column: J, row: 4368, expected_value: Value, label: measure} + - {column: L, row: 4369, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4370 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4370, expected_value: E12000002, label: geography} + - {column: D, row: 4370, expected_value: All persons, label: sex} + - {column: E, row: 4370, expected_value: Self-employed, label: employment type} + - {column: J, row: 4370, expected_value: Value, label: measure} + - {column: L, row: 4371, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4372 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4372, expected_value: E12000002, label: geography} + - {column: D, row: 4372, expected_value: All persons, label: sex} + - {column: E, row: 4372, expected_value: Self-employed, label: employment type} + - {column: J, row: 4372, expected_value: Value, label: measure} + - {column: L, row: 4373, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4376 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4376, expected_value: E12000002, label: geography} + - {column: D, row: 4376, expected_value: All persons, label: sex} + - {column: E, row: 4376, expected_value: Self-employed, label: employment type} + - {column: J, row: 4376, expected_value: Value, label: measure} + - {column: L, row: 4377, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4378 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4378, expected_value: E12000002, label: geography} + - {column: D, row: 4378, expected_value: All persons, label: sex} + - {column: E, row: 4378, expected_value: Self-employed, label: employment type} + - {column: J, row: 4378, expected_value: Value, label: measure} + - {column: L, row: 4379, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4380 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4380, expected_value: E12000002, label: geography} + - {column: D, row: 4380, expected_value: All persons, label: sex} + - {column: E, row: 4380, expected_value: Self-employed, label: employment type} + - {column: J, row: 4380, expected_value: Value, label: measure} + - {column: L, row: 4381, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4382 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4382, expected_value: E12000002, label: geography} + - {column: D, row: 4382, expected_value: All persons, label: sex} + - {column: E, row: 4382, expected_value: Self-employed, label: employment type} + - {column: J, row: 4382, expected_value: Value, label: measure} + - {column: L, row: 4383, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4384 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4384, expected_value: E12000002, label: geography} + - {column: D, row: 4384, expected_value: All persons, label: sex} + - {column: E, row: 4384, expected_value: Self-employed, label: employment type} + - {column: J, row: 4384, expected_value: Value, label: measure} + - {column: L, row: 4385, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4386 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4386, expected_value: E12000002, label: geography} + - {column: D, row: 4386, expected_value: All persons, label: sex} + - {column: E, row: 4386, expected_value: Self-employed, label: employment type} + - {column: J, row: 4386, expected_value: Value, label: measure} + - {column: L, row: 4387, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4388 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4388, expected_value: E12000002, label: geography} + - {column: D, row: 4388, expected_value: All persons, label: sex} + - {column: E, row: 4388, expected_value: Self-employed, label: employment type} + - {column: J, row: 4388, expected_value: Value, label: measure} + - {column: L, row: 4389, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4390 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4390, expected_value: E12000002, label: geography} + - {column: D, row: 4390, expected_value: All persons, label: sex} + - {column: E, row: 4390, expected_value: Self-employed, label: employment type} + - {column: J, row: 4390, expected_value: Value, label: measure} + - {column: L, row: 4391, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4392 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4392, expected_value: E12000002, label: geography} + - {column: D, row: 4392, expected_value: All persons, label: sex} + - {column: E, row: 4392, expected_value: Self-employed, label: employment type} + - {column: J, row: 4392, expected_value: Value, label: measure} + - {column: L, row: 4393, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4323 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4323, expected_value: E12000002, label: geography} + - {column: D, row: 4323, expected_value: All persons, label: sex} + - {column: E, row: 4323, expected_value: Self-employed, label: employment type} + - {column: J, row: 4323, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4325 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4325, expected_value: E12000002, label: geography} + - {column: D, row: 4325, expected_value: All persons, label: sex} + - {column: E, row: 4325, expected_value: Self-employed, label: employment type} + - {column: J, row: 4325, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4327 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4327, expected_value: E12000002, label: geography} + - {column: D, row: 4327, expected_value: All persons, label: sex} + - {column: E, row: 4327, expected_value: Self-employed, label: employment type} + - {column: J, row: 4327, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4329 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4329, expected_value: E12000002, label: geography} + - {column: D, row: 4329, expected_value: All persons, label: sex} + - {column: E, row: 4329, expected_value: Self-employed, label: employment type} + - {column: J, row: 4329, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4331 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4331, expected_value: E12000002, label: geography} + - {column: D, row: 4331, expected_value: All persons, label: sex} + - {column: E, row: 4331, expected_value: Self-employed, label: employment type} + - {column: J, row: 4331, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4333 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4333, expected_value: E12000002, label: geography} + - {column: D, row: 4333, expected_value: All persons, label: sex} + - {column: E, row: 4333, expected_value: Self-employed, label: employment type} + - {column: J, row: 4333, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4335 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4335, expected_value: E12000002, label: geography} + - {column: D, row: 4335, expected_value: All persons, label: sex} + - {column: E, row: 4335, expected_value: Self-employed, label: employment type} + - {column: J, row: 4335, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4337 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4337, expected_value: E12000002, label: geography} + - {column: D, row: 4337, expected_value: All persons, label: sex} + - {column: E, row: 4337, expected_value: Self-employed, label: employment type} + - {column: J, row: 4337, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4339 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4339, expected_value: E12000002, label: geography} + - {column: D, row: 4339, expected_value: All persons, label: sex} + - {column: E, row: 4339, expected_value: Self-employed, label: employment type} + - {column: J, row: 4339, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4341 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4341, expected_value: E12000002, label: geography} + - {column: D, row: 4341, expected_value: All persons, label: sex} + - {column: E, row: 4341, expected_value: Self-employed, label: employment type} + - {column: J, row: 4341, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4345 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4345, expected_value: E12000002, label: geography} + - {column: D, row: 4345, expected_value: All persons, label: sex} + - {column: E, row: 4345, expected_value: Self-employed, label: employment type} + - {column: J, row: 4345, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4349 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4349, expected_value: E12000002, label: geography} + - {column: D, row: 4349, expected_value: All persons, label: sex} + - {column: E, row: 4349, expected_value: Self-employed, label: employment type} + - {column: J, row: 4349, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4351 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4351, expected_value: E12000002, label: geography} + - {column: D, row: 4351, expected_value: All persons, label: sex} + - {column: E, row: 4351, expected_value: Self-employed, label: employment type} + - {column: J, row: 4351, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4353 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4353, expected_value: E12000002, label: geography} + - {column: D, row: 4353, expected_value: All persons, label: sex} + - {column: E, row: 4353, expected_value: Self-employed, label: employment type} + - {column: J, row: 4353, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4355 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4355, expected_value: E12000002, label: geography} + - {column: D, row: 4355, expected_value: All persons, label: sex} + - {column: E, row: 4355, expected_value: Self-employed, label: employment type} + - {column: J, row: 4355, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4359 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4359, expected_value: E12000002, label: geography} + - {column: D, row: 4359, expected_value: All persons, label: sex} + - {column: E, row: 4359, expected_value: Self-employed, label: employment type} + - {column: J, row: 4359, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4361 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4361, expected_value: E12000002, label: geography} + - {column: D, row: 4361, expected_value: All persons, label: sex} + - {column: E, row: 4361, expected_value: Self-employed, label: employment type} + - {column: J, row: 4361, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4363 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4363, expected_value: E12000002, label: geography} + - {column: D, row: 4363, expected_value: All persons, label: sex} + - {column: E, row: 4363, expected_value: Self-employed, label: employment type} + - {column: J, row: 4363, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4365 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4365, expected_value: E12000002, label: geography} + - {column: D, row: 4365, expected_value: All persons, label: sex} + - {column: E, row: 4365, expected_value: Self-employed, label: employment type} + - {column: J, row: 4365, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4367 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4367, expected_value: E12000002, label: geography} + - {column: D, row: 4367, expected_value: All persons, label: sex} + - {column: E, row: 4367, expected_value: Self-employed, label: employment type} + - {column: J, row: 4367, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4369 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4369, expected_value: E12000002, label: geography} + - {column: D, row: 4369, expected_value: All persons, label: sex} + - {column: E, row: 4369, expected_value: Self-employed, label: employment type} + - {column: J, row: 4369, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4371 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4371, expected_value: E12000002, label: geography} + - {column: D, row: 4371, expected_value: All persons, label: sex} + - {column: E, row: 4371, expected_value: Self-employed, label: employment type} + - {column: J, row: 4371, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4373 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4373, expected_value: E12000002, label: geography} + - {column: D, row: 4373, expected_value: All persons, label: sex} + - {column: E, row: 4373, expected_value: Self-employed, label: employment type} + - {column: J, row: 4373, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4377 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4377, expected_value: E12000002, label: geography} + - {column: D, row: 4377, expected_value: All persons, label: sex} + - {column: E, row: 4377, expected_value: Self-employed, label: employment type} + - {column: J, row: 4377, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4379 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4379, expected_value: E12000002, label: geography} + - {column: D, row: 4379, expected_value: All persons, label: sex} + - {column: E, row: 4379, expected_value: Self-employed, label: employment type} + - {column: J, row: 4379, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4383 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4383, expected_value: E12000002, label: geography} + - {column: D, row: 4383, expected_value: All persons, label: sex} + - {column: E, row: 4383, expected_value: Self-employed, label: employment type} + - {column: J, row: 4383, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4385 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4385, expected_value: E12000002, label: geography} + - {column: D, row: 4385, expected_value: All persons, label: sex} + - {column: E, row: 4385, expected_value: Self-employed, label: employment type} + - {column: J, row: 4385, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4387 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4387, expected_value: E12000002, label: geography} + - {column: D, row: 4387, expected_value: All persons, label: sex} + - {column: E, row: 4387, expected_value: Self-employed, label: employment type} + - {column: J, row: 4387, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4389 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4389, expected_value: E12000002, label: geography} + - {column: D, row: 4389, expected_value: All persons, label: sex} + - {column: E, row: 4389, expected_value: Self-employed, label: employment type} + - {column: J, row: 4389, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4391 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4391, expected_value: E12000002, label: geography} + - {column: D, row: 4391, expected_value: All persons, label: sex} + - {column: E, row: 4391, expected_value: Self-employed, label: employment type} + - {column: J, row: 4391, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4393 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4393, expected_value: E12000002, label: geography} + - {column: D, row: 4393, expected_value: All persons, label: sex} + - {column: E, row: 4393, expected_value: Self-employed, label: employment type} + - {column: J, row: 4393, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3962 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3962, expected_value: E12000002, label: geography} + - {column: D, row: 3962, expected_value: Males, label: sex} + - {column: E, row: 3962, expected_value: Total, label: employment type} + - {column: J, row: 3962, expected_value: Value, label: measure} + - {column: L, row: 3963, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3964 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3964, expected_value: E12000002, label: geography} + - {column: D, row: 3964, expected_value: Males, label: sex} + - {column: E, row: 3964, expected_value: Total, label: employment type} + - {column: J, row: 3964, expected_value: Value, label: measure} + - {column: L, row: 3965, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3966 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3966, expected_value: E12000002, label: geography} + - {column: D, row: 3966, expected_value: Males, label: sex} + - {column: E, row: 3966, expected_value: Total, label: employment type} + - {column: J, row: 3966, expected_value: Value, label: measure} + - {column: L, row: 3967, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3968 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3968, expected_value: E12000002, label: geography} + - {column: D, row: 3968, expected_value: Males, label: sex} + - {column: E, row: 3968, expected_value: Total, label: employment type} + - {column: J, row: 3968, expected_value: Value, label: measure} + - {column: L, row: 3969, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3970 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3970, expected_value: E12000002, label: geography} + - {column: D, row: 3970, expected_value: Males, label: sex} + - {column: E, row: 3970, expected_value: Total, label: employment type} + - {column: J, row: 3970, expected_value: Value, label: measure} + - {column: L, row: 3971, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3972 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3972, expected_value: E12000002, label: geography} + - {column: D, row: 3972, expected_value: Males, label: sex} + - {column: E, row: 3972, expected_value: Total, label: employment type} + - {column: J, row: 3972, expected_value: Value, label: measure} + - {column: L, row: 3973, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3974 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3974, expected_value: E12000002, label: geography} + - {column: D, row: 3974, expected_value: Males, label: sex} + - {column: E, row: 3974, expected_value: Total, label: employment type} + - {column: J, row: 3974, expected_value: Value, label: measure} + - {column: L, row: 3975, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3976 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3976, expected_value: E12000002, label: geography} + - {column: D, row: 3976, expected_value: Males, label: sex} + - {column: E, row: 3976, expected_value: Total, label: employment type} + - {column: J, row: 3976, expected_value: Value, label: measure} + - {column: L, row: 3977, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3978 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3978, expected_value: E12000002, label: geography} + - {column: D, row: 3978, expected_value: Males, label: sex} + - {column: E, row: 3978, expected_value: Total, label: employment type} + - {column: J, row: 3978, expected_value: Value, label: measure} + - {column: L, row: 3979, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3980 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3980, expected_value: E12000002, label: geography} + - {column: D, row: 3980, expected_value: Males, label: sex} + - {column: E, row: 3980, expected_value: Total, label: employment type} + - {column: J, row: 3980, expected_value: Value, label: measure} + - {column: L, row: 3981, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3982 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3982, expected_value: E12000002, label: geography} + - {column: D, row: 3982, expected_value: Males, label: sex} + - {column: E, row: 3982, expected_value: Total, label: employment type} + - {column: J, row: 3982, expected_value: Value, label: measure} + - {column: L, row: 3983, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3984 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3984, expected_value: E12000002, label: geography} + - {column: D, row: 3984, expected_value: Males, label: sex} + - {column: E, row: 3984, expected_value: Total, label: employment type} + - {column: J, row: 3984, expected_value: Value, label: measure} + - {column: L, row: 3985, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3986 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3986, expected_value: E12000002, label: geography} + - {column: D, row: 3986, expected_value: Males, label: sex} + - {column: E, row: 3986, expected_value: Total, label: employment type} + - {column: J, row: 3986, expected_value: Value, label: measure} + - {column: L, row: 3987, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3988 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3988, expected_value: E12000002, label: geography} + - {column: D, row: 3988, expected_value: Males, label: sex} + - {column: E, row: 3988, expected_value: Total, label: employment type} + - {column: J, row: 3988, expected_value: Value, label: measure} + - {column: L, row: 3989, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3990 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3990, expected_value: E12000002, label: geography} + - {column: D, row: 3990, expected_value: Males, label: sex} + - {column: E, row: 3990, expected_value: Total, label: employment type} + - {column: J, row: 3990, expected_value: Value, label: measure} + - {column: L, row: 3991, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3992 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3992, expected_value: E12000002, label: geography} + - {column: D, row: 3992, expected_value: Males, label: sex} + - {column: E, row: 3992, expected_value: Total, label: employment type} + - {column: J, row: 3992, expected_value: Value, label: measure} + - {column: L, row: 3993, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3994 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3994, expected_value: E12000002, label: geography} + - {column: D, row: 3994, expected_value: Males, label: sex} + - {column: E, row: 3994, expected_value: Total, label: employment type} + - {column: J, row: 3994, expected_value: Value, label: measure} + - {column: L, row: 3995, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3996 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3996, expected_value: E12000002, label: geography} + - {column: D, row: 3996, expected_value: Males, label: sex} + - {column: E, row: 3996, expected_value: Total, label: employment type} + - {column: J, row: 3996, expected_value: Value, label: measure} + - {column: L, row: 3997, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3998 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3998, expected_value: E12000002, label: geography} + - {column: D, row: 3998, expected_value: Males, label: sex} + - {column: E, row: 3998, expected_value: Total, label: employment type} + - {column: J, row: 3998, expected_value: Value, label: measure} + - {column: L, row: 3999, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4000 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4000, expected_value: E12000002, label: geography} + - {column: D, row: 4000, expected_value: Males, label: sex} + - {column: E, row: 4000, expected_value: Total, label: employment type} + - {column: J, row: 4000, expected_value: Value, label: measure} + - {column: L, row: 4001, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4002 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4002, expected_value: E12000002, label: geography} + - {column: D, row: 4002, expected_value: Males, label: sex} + - {column: E, row: 4002, expected_value: Total, label: employment type} + - {column: J, row: 4002, expected_value: Value, label: measure} + - {column: L, row: 4003, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4004 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4004, expected_value: E12000002, label: geography} + - {column: D, row: 4004, expected_value: Males, label: sex} + - {column: E, row: 4004, expected_value: Total, label: employment type} + - {column: J, row: 4004, expected_value: Value, label: measure} + - {column: L, row: 4005, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4006 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4006, expected_value: E12000002, label: geography} + - {column: D, row: 4006, expected_value: Males, label: sex} + - {column: E, row: 4006, expected_value: Total, label: employment type} + - {column: J, row: 4006, expected_value: Value, label: measure} + - {column: L, row: 4007, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4008 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4008, expected_value: E12000002, label: geography} + - {column: D, row: 4008, expected_value: Males, label: sex} + - {column: E, row: 4008, expected_value: Total, label: employment type} + - {column: J, row: 4008, expected_value: Value, label: measure} + - {column: L, row: 4009, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4010 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4010, expected_value: E12000002, label: geography} + - {column: D, row: 4010, expected_value: Males, label: sex} + - {column: E, row: 4010, expected_value: Total, label: employment type} + - {column: J, row: 4010, expected_value: Value, label: measure} + - {column: L, row: 4011, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4012 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4012, expected_value: E12000002, label: geography} + - {column: D, row: 4012, expected_value: Males, label: sex} + - {column: E, row: 4012, expected_value: Total, label: employment type} + - {column: J, row: 4012, expected_value: Value, label: measure} + - {column: L, row: 4013, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4014 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4014, expected_value: E12000002, label: geography} + - {column: D, row: 4014, expected_value: Males, label: sex} + - {column: E, row: 4014, expected_value: Total, label: employment type} + - {column: J, row: 4014, expected_value: Value, label: measure} + - {column: L, row: 4015, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4016 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4016, expected_value: E12000002, label: geography} + - {column: D, row: 4016, expected_value: Males, label: sex} + - {column: E, row: 4016, expected_value: Total, label: employment type} + - {column: J, row: 4016, expected_value: Value, label: measure} + - {column: L, row: 4017, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4018 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4018, expected_value: E12000002, label: geography} + - {column: D, row: 4018, expected_value: Males, label: sex} + - {column: E, row: 4018, expected_value: Total, label: employment type} + - {column: J, row: 4018, expected_value: Value, label: measure} + - {column: L, row: 4019, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4020 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4020, expected_value: E12000002, label: geography} + - {column: D, row: 4020, expected_value: Males, label: sex} + - {column: E, row: 4020, expected_value: Total, label: employment type} + - {column: J, row: 4020, expected_value: Value, label: measure} + - {column: L, row: 4021, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4022 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4022, expected_value: E12000002, label: geography} + - {column: D, row: 4022, expected_value: Males, label: sex} + - {column: E, row: 4022, expected_value: Total, label: employment type} + - {column: J, row: 4022, expected_value: Value, label: measure} + - {column: L, row: 4023, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4024 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4024, expected_value: E12000002, label: geography} + - {column: D, row: 4024, expected_value: Males, label: sex} + - {column: E, row: 4024, expected_value: Total, label: employment type} + - {column: J, row: 4024, expected_value: Value, label: measure} + - {column: L, row: 4025, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4026 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4026, expected_value: E12000002, label: geography} + - {column: D, row: 4026, expected_value: Males, label: sex} + - {column: E, row: 4026, expected_value: Total, label: employment type} + - {column: J, row: 4026, expected_value: Value, label: measure} + - {column: L, row: 4027, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4028 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4028, expected_value: E12000002, label: geography} + - {column: D, row: 4028, expected_value: Males, label: sex} + - {column: E, row: 4028, expected_value: Total, label: employment type} + - {column: J, row: 4028, expected_value: Value, label: measure} + - {column: L, row: 4029, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4030 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4030, expected_value: E12000002, label: geography} + - {column: D, row: 4030, expected_value: Males, label: sex} + - {column: E, row: 4030, expected_value: Total, label: employment type} + - {column: J, row: 4030, expected_value: Value, label: measure} + - {column: L, row: 4031, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4032 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4032, expected_value: E12000002, label: geography} + - {column: D, row: 4032, expected_value: Males, label: sex} + - {column: E, row: 4032, expected_value: Total, label: employment type} + - {column: J, row: 4032, expected_value: Value, label: measure} + - {column: L, row: 4033, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 3963 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 3963, expected_value: E12000002, label: geography} + - {column: D, row: 3963, expected_value: Males, label: sex} + - {column: E, row: 3963, expected_value: Total, label: employment type} + - {column: J, row: 3963, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 3965 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 3965, expected_value: E12000002, label: geography} + - {column: D, row: 3965, expected_value: Males, label: sex} + - {column: E, row: 3965, expected_value: Total, label: employment type} + - {column: J, row: 3965, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 3967 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 3967, expected_value: E12000002, label: geography} + - {column: D, row: 3967, expected_value: Males, label: sex} + - {column: E, row: 3967, expected_value: Total, label: employment type} + - {column: J, row: 3967, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 3969 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 3969, expected_value: E12000002, label: geography} + - {column: D, row: 3969, expected_value: Males, label: sex} + - {column: E, row: 3969, expected_value: Total, label: employment type} + - {column: J, row: 3969, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 3971 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 3971, expected_value: E12000002, label: geography} + - {column: D, row: 3971, expected_value: Males, label: sex} + - {column: E, row: 3971, expected_value: Total, label: employment type} + - {column: J, row: 3971, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 3973 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 3973, expected_value: E12000002, label: geography} + - {column: D, row: 3973, expected_value: Males, label: sex} + - {column: E, row: 3973, expected_value: Total, label: employment type} + - {column: J, row: 3973, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 3975 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 3975, expected_value: E12000002, label: geography} + - {column: D, row: 3975, expected_value: Males, label: sex} + - {column: E, row: 3975, expected_value: Total, label: employment type} + - {column: J, row: 3975, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 3977 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 3977, expected_value: E12000002, label: geography} + - {column: D, row: 3977, expected_value: Males, label: sex} + - {column: E, row: 3977, expected_value: Total, label: employment type} + - {column: J, row: 3977, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 3979 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 3979, expected_value: E12000002, label: geography} + - {column: D, row: 3979, expected_value: Males, label: sex} + - {column: E, row: 3979, expected_value: Total, label: employment type} + - {column: J, row: 3979, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 3981 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 3981, expected_value: E12000002, label: geography} + - {column: D, row: 3981, expected_value: Males, label: sex} + - {column: E, row: 3981, expected_value: Total, label: employment type} + - {column: J, row: 3981, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 3983 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 3983, expected_value: E12000002, label: geography} + - {column: D, row: 3983, expected_value: Males, label: sex} + - {column: E, row: 3983, expected_value: Total, label: employment type} + - {column: J, row: 3983, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 3985 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 3985, expected_value: E12000002, label: geography} + - {column: D, row: 3985, expected_value: Males, label: sex} + - {column: E, row: 3985, expected_value: Total, label: employment type} + - {column: J, row: 3985, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 3987 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 3987, expected_value: E12000002, label: geography} + - {column: D, row: 3987, expected_value: Males, label: sex} + - {column: E, row: 3987, expected_value: Total, label: employment type} + - {column: J, row: 3987, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 3989 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 3989, expected_value: E12000002, label: geography} + - {column: D, row: 3989, expected_value: Males, label: sex} + - {column: E, row: 3989, expected_value: Total, label: employment type} + - {column: J, row: 3989, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 3991 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 3991, expected_value: E12000002, label: geography} + - {column: D, row: 3991, expected_value: Males, label: sex} + - {column: E, row: 3991, expected_value: Total, label: employment type} + - {column: J, row: 3991, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 3993 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 3993, expected_value: E12000002, label: geography} + - {column: D, row: 3993, expected_value: Males, label: sex} + - {column: E, row: 3993, expected_value: Total, label: employment type} + - {column: J, row: 3993, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 3995 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 3995, expected_value: E12000002, label: geography} + - {column: D, row: 3995, expected_value: Males, label: sex} + - {column: E, row: 3995, expected_value: Total, label: employment type} + - {column: J, row: 3995, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 3997 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 3997, expected_value: E12000002, label: geography} + - {column: D, row: 3997, expected_value: Males, label: sex} + - {column: E, row: 3997, expected_value: Total, label: employment type} + - {column: J, row: 3997, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 3999 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 3999, expected_value: E12000002, label: geography} + - {column: D, row: 3999, expected_value: Males, label: sex} + - {column: E, row: 3999, expected_value: Total, label: employment type} + - {column: J, row: 3999, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4001 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4001, expected_value: E12000002, label: geography} + - {column: D, row: 4001, expected_value: Males, label: sex} + - {column: E, row: 4001, expected_value: Total, label: employment type} + - {column: J, row: 4001, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4003 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4003, expected_value: E12000002, label: geography} + - {column: D, row: 4003, expected_value: Males, label: sex} + - {column: E, row: 4003, expected_value: Total, label: employment type} + - {column: J, row: 4003, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4005 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4005, expected_value: E12000002, label: geography} + - {column: D, row: 4005, expected_value: Males, label: sex} + - {column: E, row: 4005, expected_value: Total, label: employment type} + - {column: J, row: 4005, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4007 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4007, expected_value: E12000002, label: geography} + - {column: D, row: 4007, expected_value: Males, label: sex} + - {column: E, row: 4007, expected_value: Total, label: employment type} + - {column: J, row: 4007, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4009 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4009, expected_value: E12000002, label: geography} + - {column: D, row: 4009, expected_value: Males, label: sex} + - {column: E, row: 4009, expected_value: Total, label: employment type} + - {column: J, row: 4009, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4011 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4011, expected_value: E12000002, label: geography} + - {column: D, row: 4011, expected_value: Males, label: sex} + - {column: E, row: 4011, expected_value: Total, label: employment type} + - {column: J, row: 4011, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4013 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4013, expected_value: E12000002, label: geography} + - {column: D, row: 4013, expected_value: Males, label: sex} + - {column: E, row: 4013, expected_value: Total, label: employment type} + - {column: J, row: 4013, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4017 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4017, expected_value: E12000002, label: geography} + - {column: D, row: 4017, expected_value: Males, label: sex} + - {column: E, row: 4017, expected_value: Total, label: employment type} + - {column: J, row: 4017, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4019 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4019, expected_value: E12000002, label: geography} + - {column: D, row: 4019, expected_value: Males, label: sex} + - {column: E, row: 4019, expected_value: Total, label: employment type} + - {column: J, row: 4019, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4021 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4021, expected_value: E12000002, label: geography} + - {column: D, row: 4021, expected_value: Males, label: sex} + - {column: E, row: 4021, expected_value: Total, label: employment type} + - {column: J, row: 4021, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4023 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4023, expected_value: E12000002, label: geography} + - {column: D, row: 4023, expected_value: Males, label: sex} + - {column: E, row: 4023, expected_value: Total, label: employment type} + - {column: J, row: 4023, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4025 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4025, expected_value: E12000002, label: geography} + - {column: D, row: 4025, expected_value: Males, label: sex} + - {column: E, row: 4025, expected_value: Total, label: employment type} + - {column: J, row: 4025, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4027 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4027, expected_value: E12000002, label: geography} + - {column: D, row: 4027, expected_value: Males, label: sex} + - {column: E, row: 4027, expected_value: Total, label: employment type} + - {column: J, row: 4027, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4029 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4029, expected_value: E12000002, label: geography} + - {column: D, row: 4029, expected_value: Males, label: sex} + - {column: E, row: 4029, expected_value: Total, label: employment type} + - {column: J, row: 4029, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4031 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4031, expected_value: E12000002, label: geography} + - {column: D, row: 4031, expected_value: Males, label: sex} + - {column: E, row: 4031, expected_value: Total, label: employment type} + - {column: J, row: 4031, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4033 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4033, expected_value: E12000002, label: geography} + - {column: D, row: 4033, expected_value: Males, label: sex} + - {column: E, row: 4033, expected_value: Total, label: employment type} + - {column: J, row: 4033, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4178 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4178, expected_value: E12000002, label: geography} + - {column: D, row: 4178, expected_value: Males, label: sex} + - {column: E, row: 4178, expected_value: Employee, label: employment type} + - {column: J, row: 4178, expected_value: Value, label: measure} + - {column: L, row: 4179, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4180 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4180, expected_value: E12000002, label: geography} + - {column: D, row: 4180, expected_value: Males, label: sex} + - {column: E, row: 4180, expected_value: Employee, label: employment type} + - {column: J, row: 4180, expected_value: Value, label: measure} + - {column: L, row: 4181, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4182 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4182, expected_value: E12000002, label: geography} + - {column: D, row: 4182, expected_value: Males, label: sex} + - {column: E, row: 4182, expected_value: Employee, label: employment type} + - {column: J, row: 4182, expected_value: Value, label: measure} + - {column: L, row: 4183, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4184 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4184, expected_value: E12000002, label: geography} + - {column: D, row: 4184, expected_value: Males, label: sex} + - {column: E, row: 4184, expected_value: Employee, label: employment type} + - {column: J, row: 4184, expected_value: Value, label: measure} + - {column: L, row: 4185, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4186 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4186, expected_value: E12000002, label: geography} + - {column: D, row: 4186, expected_value: Males, label: sex} + - {column: E, row: 4186, expected_value: Employee, label: employment type} + - {column: J, row: 4186, expected_value: Value, label: measure} + - {column: L, row: 4187, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4188 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4188, expected_value: E12000002, label: geography} + - {column: D, row: 4188, expected_value: Males, label: sex} + - {column: E, row: 4188, expected_value: Employee, label: employment type} + - {column: J, row: 4188, expected_value: Value, label: measure} + - {column: L, row: 4189, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4190 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4190, expected_value: E12000002, label: geography} + - {column: D, row: 4190, expected_value: Males, label: sex} + - {column: E, row: 4190, expected_value: Employee, label: employment type} + - {column: J, row: 4190, expected_value: Value, label: measure} + - {column: L, row: 4191, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4192 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4192, expected_value: E12000002, label: geography} + - {column: D, row: 4192, expected_value: Males, label: sex} + - {column: E, row: 4192, expected_value: Employee, label: employment type} + - {column: J, row: 4192, expected_value: Value, label: measure} + - {column: L, row: 4193, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4194 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4194, expected_value: E12000002, label: geography} + - {column: D, row: 4194, expected_value: Males, label: sex} + - {column: E, row: 4194, expected_value: Employee, label: employment type} + - {column: J, row: 4194, expected_value: Value, label: measure} + - {column: L, row: 4195, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4196 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4196, expected_value: E12000002, label: geography} + - {column: D, row: 4196, expected_value: Males, label: sex} + - {column: E, row: 4196, expected_value: Employee, label: employment type} + - {column: J, row: 4196, expected_value: Value, label: measure} + - {column: L, row: 4197, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4198 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4198, expected_value: E12000002, label: geography} + - {column: D, row: 4198, expected_value: Males, label: sex} + - {column: E, row: 4198, expected_value: Employee, label: employment type} + - {column: J, row: 4198, expected_value: Value, label: measure} + - {column: L, row: 4199, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4200 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4200, expected_value: E12000002, label: geography} + - {column: D, row: 4200, expected_value: Males, label: sex} + - {column: E, row: 4200, expected_value: Employee, label: employment type} + - {column: J, row: 4200, expected_value: Value, label: measure} + - {column: L, row: 4201, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4202 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4202, expected_value: E12000002, label: geography} + - {column: D, row: 4202, expected_value: Males, label: sex} + - {column: E, row: 4202, expected_value: Employee, label: employment type} + - {column: J, row: 4202, expected_value: Value, label: measure} + - {column: L, row: 4203, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4204 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4204, expected_value: E12000002, label: geography} + - {column: D, row: 4204, expected_value: Males, label: sex} + - {column: E, row: 4204, expected_value: Employee, label: employment type} + - {column: J, row: 4204, expected_value: Value, label: measure} + - {column: L, row: 4205, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4206 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4206, expected_value: E12000002, label: geography} + - {column: D, row: 4206, expected_value: Males, label: sex} + - {column: E, row: 4206, expected_value: Employee, label: employment type} + - {column: J, row: 4206, expected_value: Value, label: measure} + - {column: L, row: 4207, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4208 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4208, expected_value: E12000002, label: geography} + - {column: D, row: 4208, expected_value: Males, label: sex} + - {column: E, row: 4208, expected_value: Employee, label: employment type} + - {column: J, row: 4208, expected_value: Value, label: measure} + - {column: L, row: 4209, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4210 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4210, expected_value: E12000002, label: geography} + - {column: D, row: 4210, expected_value: Males, label: sex} + - {column: E, row: 4210, expected_value: Employee, label: employment type} + - {column: J, row: 4210, expected_value: Value, label: measure} + - {column: L, row: 4211, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4212 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4212, expected_value: E12000002, label: geography} + - {column: D, row: 4212, expected_value: Males, label: sex} + - {column: E, row: 4212, expected_value: Employee, label: employment type} + - {column: J, row: 4212, expected_value: Value, label: measure} + - {column: L, row: 4213, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4214 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4214, expected_value: E12000002, label: geography} + - {column: D, row: 4214, expected_value: Males, label: sex} + - {column: E, row: 4214, expected_value: Employee, label: employment type} + - {column: J, row: 4214, expected_value: Value, label: measure} + - {column: L, row: 4215, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4216 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4216, expected_value: E12000002, label: geography} + - {column: D, row: 4216, expected_value: Males, label: sex} + - {column: E, row: 4216, expected_value: Employee, label: employment type} + - {column: J, row: 4216, expected_value: Value, label: measure} + - {column: L, row: 4217, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4218 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4218, expected_value: E12000002, label: geography} + - {column: D, row: 4218, expected_value: Males, label: sex} + - {column: E, row: 4218, expected_value: Employee, label: employment type} + - {column: J, row: 4218, expected_value: Value, label: measure} + - {column: L, row: 4219, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4220 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4220, expected_value: E12000002, label: geography} + - {column: D, row: 4220, expected_value: Males, label: sex} + - {column: E, row: 4220, expected_value: Employee, label: employment type} + - {column: J, row: 4220, expected_value: Value, label: measure} + - {column: L, row: 4221, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4222 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4222, expected_value: E12000002, label: geography} + - {column: D, row: 4222, expected_value: Males, label: sex} + - {column: E, row: 4222, expected_value: Employee, label: employment type} + - {column: J, row: 4222, expected_value: Value, label: measure} + - {column: L, row: 4223, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4224 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4224, expected_value: E12000002, label: geography} + - {column: D, row: 4224, expected_value: Males, label: sex} + - {column: E, row: 4224, expected_value: Employee, label: employment type} + - {column: J, row: 4224, expected_value: Value, label: measure} + - {column: L, row: 4225, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4226 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4226, expected_value: E12000002, label: geography} + - {column: D, row: 4226, expected_value: Males, label: sex} + - {column: E, row: 4226, expected_value: Employee, label: employment type} + - {column: J, row: 4226, expected_value: Value, label: measure} + - {column: L, row: 4227, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4228 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4228, expected_value: E12000002, label: geography} + - {column: D, row: 4228, expected_value: Males, label: sex} + - {column: E, row: 4228, expected_value: Employee, label: employment type} + - {column: J, row: 4228, expected_value: Value, label: measure} + - {column: L, row: 4229, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4230 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4230, expected_value: E12000002, label: geography} + - {column: D, row: 4230, expected_value: Males, label: sex} + - {column: E, row: 4230, expected_value: Employee, label: employment type} + - {column: J, row: 4230, expected_value: Value, label: measure} + - {column: L, row: 4231, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4232 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4232, expected_value: E12000002, label: geography} + - {column: D, row: 4232, expected_value: Males, label: sex} + - {column: E, row: 4232, expected_value: Employee, label: employment type} + - {column: J, row: 4232, expected_value: Value, label: measure} + - {column: L, row: 4233, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4234 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4234, expected_value: E12000002, label: geography} + - {column: D, row: 4234, expected_value: Males, label: sex} + - {column: E, row: 4234, expected_value: Employee, label: employment type} + - {column: J, row: 4234, expected_value: Value, label: measure} + - {column: L, row: 4235, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4236 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4236, expected_value: E12000002, label: geography} + - {column: D, row: 4236, expected_value: Males, label: sex} + - {column: E, row: 4236, expected_value: Employee, label: employment type} + - {column: J, row: 4236, expected_value: Value, label: measure} + - {column: L, row: 4237, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4238 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4238, expected_value: E12000002, label: geography} + - {column: D, row: 4238, expected_value: Males, label: sex} + - {column: E, row: 4238, expected_value: Employee, label: employment type} + - {column: J, row: 4238, expected_value: Value, label: measure} + - {column: L, row: 4239, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4240 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4240, expected_value: E12000002, label: geography} + - {column: D, row: 4240, expected_value: Males, label: sex} + - {column: E, row: 4240, expected_value: Employee, label: employment type} + - {column: J, row: 4240, expected_value: Value, label: measure} + - {column: L, row: 4241, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4242 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4242, expected_value: E12000002, label: geography} + - {column: D, row: 4242, expected_value: Males, label: sex} + - {column: E, row: 4242, expected_value: Employee, label: employment type} + - {column: J, row: 4242, expected_value: Value, label: measure} + - {column: L, row: 4243, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4244 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4244, expected_value: E12000002, label: geography} + - {column: D, row: 4244, expected_value: Males, label: sex} + - {column: E, row: 4244, expected_value: Employee, label: employment type} + - {column: J, row: 4244, expected_value: Value, label: measure} + - {column: L, row: 4245, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4246 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4246, expected_value: E12000002, label: geography} + - {column: D, row: 4246, expected_value: Males, label: sex} + - {column: E, row: 4246, expected_value: Employee, label: employment type} + - {column: J, row: 4246, expected_value: Value, label: measure} + - {column: L, row: 4247, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4248 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4248, expected_value: E12000002, label: geography} + - {column: D, row: 4248, expected_value: Males, label: sex} + - {column: E, row: 4248, expected_value: Employee, label: employment type} + - {column: J, row: 4248, expected_value: Value, label: measure} + - {column: L, row: 4249, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4179 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4179, expected_value: E12000002, label: geography} + - {column: D, row: 4179, expected_value: Males, label: sex} + - {column: E, row: 4179, expected_value: Employee, label: employment type} + - {column: J, row: 4179, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4181 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4181, expected_value: E12000002, label: geography} + - {column: D, row: 4181, expected_value: Males, label: sex} + - {column: E, row: 4181, expected_value: Employee, label: employment type} + - {column: J, row: 4181, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4183 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4183, expected_value: E12000002, label: geography} + - {column: D, row: 4183, expected_value: Males, label: sex} + - {column: E, row: 4183, expected_value: Employee, label: employment type} + - {column: J, row: 4183, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4185 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4185, expected_value: E12000002, label: geography} + - {column: D, row: 4185, expected_value: Males, label: sex} + - {column: E, row: 4185, expected_value: Employee, label: employment type} + - {column: J, row: 4185, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4187 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4187, expected_value: E12000002, label: geography} + - {column: D, row: 4187, expected_value: Males, label: sex} + - {column: E, row: 4187, expected_value: Employee, label: employment type} + - {column: J, row: 4187, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4189 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4189, expected_value: E12000002, label: geography} + - {column: D, row: 4189, expected_value: Males, label: sex} + - {column: E, row: 4189, expected_value: Employee, label: employment type} + - {column: J, row: 4189, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4191 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4191, expected_value: E12000002, label: geography} + - {column: D, row: 4191, expected_value: Males, label: sex} + - {column: E, row: 4191, expected_value: Employee, label: employment type} + - {column: J, row: 4191, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4193 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4193, expected_value: E12000002, label: geography} + - {column: D, row: 4193, expected_value: Males, label: sex} + - {column: E, row: 4193, expected_value: Employee, label: employment type} + - {column: J, row: 4193, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4195 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4195, expected_value: E12000002, label: geography} + - {column: D, row: 4195, expected_value: Males, label: sex} + - {column: E, row: 4195, expected_value: Employee, label: employment type} + - {column: J, row: 4195, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4197 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4197, expected_value: E12000002, label: geography} + - {column: D, row: 4197, expected_value: Males, label: sex} + - {column: E, row: 4197, expected_value: Employee, label: employment type} + - {column: J, row: 4197, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4199 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4199, expected_value: E12000002, label: geography} + - {column: D, row: 4199, expected_value: Males, label: sex} + - {column: E, row: 4199, expected_value: Employee, label: employment type} + - {column: J, row: 4199, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4201 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4201, expected_value: E12000002, label: geography} + - {column: D, row: 4201, expected_value: Males, label: sex} + - {column: E, row: 4201, expected_value: Employee, label: employment type} + - {column: J, row: 4201, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4203 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4203, expected_value: E12000002, label: geography} + - {column: D, row: 4203, expected_value: Males, label: sex} + - {column: E, row: 4203, expected_value: Employee, label: employment type} + - {column: J, row: 4203, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4205 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4205, expected_value: E12000002, label: geography} + - {column: D, row: 4205, expected_value: Males, label: sex} + - {column: E, row: 4205, expected_value: Employee, label: employment type} + - {column: J, row: 4205, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4207 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4207, expected_value: E12000002, label: geography} + - {column: D, row: 4207, expected_value: Males, label: sex} + - {column: E, row: 4207, expected_value: Employee, label: employment type} + - {column: J, row: 4207, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4209 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4209, expected_value: E12000002, label: geography} + - {column: D, row: 4209, expected_value: Males, label: sex} + - {column: E, row: 4209, expected_value: Employee, label: employment type} + - {column: J, row: 4209, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4211 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4211, expected_value: E12000002, label: geography} + - {column: D, row: 4211, expected_value: Males, label: sex} + - {column: E, row: 4211, expected_value: Employee, label: employment type} + - {column: J, row: 4211, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4213 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4213, expected_value: E12000002, label: geography} + - {column: D, row: 4213, expected_value: Males, label: sex} + - {column: E, row: 4213, expected_value: Employee, label: employment type} + - {column: J, row: 4213, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4215 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4215, expected_value: E12000002, label: geography} + - {column: D, row: 4215, expected_value: Males, label: sex} + - {column: E, row: 4215, expected_value: Employee, label: employment type} + - {column: J, row: 4215, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4217 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4217, expected_value: E12000002, label: geography} + - {column: D, row: 4217, expected_value: Males, label: sex} + - {column: E, row: 4217, expected_value: Employee, label: employment type} + - {column: J, row: 4217, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4219 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4219, expected_value: E12000002, label: geography} + - {column: D, row: 4219, expected_value: Males, label: sex} + - {column: E, row: 4219, expected_value: Employee, label: employment type} + - {column: J, row: 4219, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4221 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4221, expected_value: E12000002, label: geography} + - {column: D, row: 4221, expected_value: Males, label: sex} + - {column: E, row: 4221, expected_value: Employee, label: employment type} + - {column: J, row: 4221, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4223 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4223, expected_value: E12000002, label: geography} + - {column: D, row: 4223, expected_value: Males, label: sex} + - {column: E, row: 4223, expected_value: Employee, label: employment type} + - {column: J, row: 4223, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4225 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4225, expected_value: E12000002, label: geography} + - {column: D, row: 4225, expected_value: Males, label: sex} + - {column: E, row: 4225, expected_value: Employee, label: employment type} + - {column: J, row: 4225, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4227 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4227, expected_value: E12000002, label: geography} + - {column: D, row: 4227, expected_value: Males, label: sex} + - {column: E, row: 4227, expected_value: Employee, label: employment type} + - {column: J, row: 4227, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4229 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4229, expected_value: E12000002, label: geography} + - {column: D, row: 4229, expected_value: Males, label: sex} + - {column: E, row: 4229, expected_value: Employee, label: employment type} + - {column: J, row: 4229, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4233 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4233, expected_value: E12000002, label: geography} + - {column: D, row: 4233, expected_value: Males, label: sex} + - {column: E, row: 4233, expected_value: Employee, label: employment type} + - {column: J, row: 4233, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4235 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4235, expected_value: E12000002, label: geography} + - {column: D, row: 4235, expected_value: Males, label: sex} + - {column: E, row: 4235, expected_value: Employee, label: employment type} + - {column: J, row: 4235, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4237 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4237, expected_value: E12000002, label: geography} + - {column: D, row: 4237, expected_value: Males, label: sex} + - {column: E, row: 4237, expected_value: Employee, label: employment type} + - {column: J, row: 4237, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4239 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4239, expected_value: E12000002, label: geography} + - {column: D, row: 4239, expected_value: Males, label: sex} + - {column: E, row: 4239, expected_value: Employee, label: employment type} + - {column: J, row: 4239, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4241 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4241, expected_value: E12000002, label: geography} + - {column: D, row: 4241, expected_value: Males, label: sex} + - {column: E, row: 4241, expected_value: Employee, label: employment type} + - {column: J, row: 4241, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4243 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4243, expected_value: E12000002, label: geography} + - {column: D, row: 4243, expected_value: Males, label: sex} + - {column: E, row: 4243, expected_value: Employee, label: employment type} + - {column: J, row: 4243, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4245 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4245, expected_value: E12000002, label: geography} + - {column: D, row: 4245, expected_value: Males, label: sex} + - {column: E, row: 4245, expected_value: Employee, label: employment type} + - {column: J, row: 4245, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4247 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4247, expected_value: E12000002, label: geography} + - {column: D, row: 4247, expected_value: Males, label: sex} + - {column: E, row: 4247, expected_value: Employee, label: employment type} + - {column: J, row: 4247, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4249 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4249, expected_value: E12000002, label: geography} + - {column: D, row: 4249, expected_value: Males, label: sex} + - {column: E, row: 4249, expected_value: Employee, label: employment type} + - {column: J, row: 4249, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4394 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4394, expected_value: E12000002, label: geography} + - {column: D, row: 4394, expected_value: Males, label: sex} + - {column: E, row: 4394, expected_value: Self-employed, label: employment type} + - {column: J, row: 4394, expected_value: Value, label: measure} + - {column: L, row: 4395, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4396 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4396, expected_value: E12000002, label: geography} + - {column: D, row: 4396, expected_value: Males, label: sex} + - {column: E, row: 4396, expected_value: Self-employed, label: employment type} + - {column: J, row: 4396, expected_value: Value, label: measure} + - {column: L, row: 4397, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4398 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4398, expected_value: E12000002, label: geography} + - {column: D, row: 4398, expected_value: Males, label: sex} + - {column: E, row: 4398, expected_value: Self-employed, label: employment type} + - {column: J, row: 4398, expected_value: Value, label: measure} + - {column: L, row: 4399, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4400 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4400, expected_value: E12000002, label: geography} + - {column: D, row: 4400, expected_value: Males, label: sex} + - {column: E, row: 4400, expected_value: Self-employed, label: employment type} + - {column: J, row: 4400, expected_value: Value, label: measure} + - {column: L, row: 4401, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4402 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4402, expected_value: E12000002, label: geography} + - {column: D, row: 4402, expected_value: Males, label: sex} + - {column: E, row: 4402, expected_value: Self-employed, label: employment type} + - {column: J, row: 4402, expected_value: Value, label: measure} + - {column: L, row: 4403, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4404 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4404, expected_value: E12000002, label: geography} + - {column: D, row: 4404, expected_value: Males, label: sex} + - {column: E, row: 4404, expected_value: Self-employed, label: employment type} + - {column: J, row: 4404, expected_value: Value, label: measure} + - {column: L, row: 4405, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4406 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4406, expected_value: E12000002, label: geography} + - {column: D, row: 4406, expected_value: Males, label: sex} + - {column: E, row: 4406, expected_value: Self-employed, label: employment type} + - {column: J, row: 4406, expected_value: Value, label: measure} + - {column: L, row: 4407, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4408 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4408, expected_value: E12000002, label: geography} + - {column: D, row: 4408, expected_value: Males, label: sex} + - {column: E, row: 4408, expected_value: Self-employed, label: employment type} + - {column: J, row: 4408, expected_value: Value, label: measure} + - {column: L, row: 4409, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4410 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4410, expected_value: E12000002, label: geography} + - {column: D, row: 4410, expected_value: Males, label: sex} + - {column: E, row: 4410, expected_value: Self-employed, label: employment type} + - {column: J, row: 4410, expected_value: Value, label: measure} + - {column: L, row: 4411, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4412 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4412, expected_value: E12000002, label: geography} + - {column: D, row: 4412, expected_value: Males, label: sex} + - {column: E, row: 4412, expected_value: Self-employed, label: employment type} + - {column: J, row: 4412, expected_value: Value, label: measure} + - {column: L, row: 4413, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4414 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4414, expected_value: E12000002, label: geography} + - {column: D, row: 4414, expected_value: Males, label: sex} + - {column: E, row: 4414, expected_value: Self-employed, label: employment type} + - {column: J, row: 4414, expected_value: Value, label: measure} + - {column: L, row: 4415, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4416 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4416, expected_value: E12000002, label: geography} + - {column: D, row: 4416, expected_value: Males, label: sex} + - {column: E, row: 4416, expected_value: Self-employed, label: employment type} + - {column: J, row: 4416, expected_value: Value, label: measure} + - {column: L, row: 4417, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4418 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4418, expected_value: E12000002, label: geography} + - {column: D, row: 4418, expected_value: Males, label: sex} + - {column: E, row: 4418, expected_value: Self-employed, label: employment type} + - {column: J, row: 4418, expected_value: Value, label: measure} + - {column: L, row: 4419, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4420 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4420, expected_value: E12000002, label: geography} + - {column: D, row: 4420, expected_value: Males, label: sex} + - {column: E, row: 4420, expected_value: Self-employed, label: employment type} + - {column: J, row: 4420, expected_value: Value, label: measure} + - {column: L, row: 4421, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4422 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4422, expected_value: E12000002, label: geography} + - {column: D, row: 4422, expected_value: Males, label: sex} + - {column: E, row: 4422, expected_value: Self-employed, label: employment type} + - {column: J, row: 4422, expected_value: Value, label: measure} + - {column: L, row: 4423, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4424 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4424, expected_value: E12000002, label: geography} + - {column: D, row: 4424, expected_value: Males, label: sex} + - {column: E, row: 4424, expected_value: Self-employed, label: employment type} + - {column: J, row: 4424, expected_value: Value, label: measure} + - {column: L, row: 4425, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4426 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4426, expected_value: E12000002, label: geography} + - {column: D, row: 4426, expected_value: Males, label: sex} + - {column: E, row: 4426, expected_value: Self-employed, label: employment type} + - {column: J, row: 4426, expected_value: Value, label: measure} + - {column: L, row: 4427, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4430 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4430, expected_value: E12000002, label: geography} + - {column: D, row: 4430, expected_value: Males, label: sex} + - {column: E, row: 4430, expected_value: Self-employed, label: employment type} + - {column: J, row: 4430, expected_value: Value, label: measure} + - {column: L, row: 4431, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4432 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4432, expected_value: E12000002, label: geography} + - {column: D, row: 4432, expected_value: Males, label: sex} + - {column: E, row: 4432, expected_value: Self-employed, label: employment type} + - {column: J, row: 4432, expected_value: Value, label: measure} + - {column: L, row: 4433, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4434 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4434, expected_value: E12000002, label: geography} + - {column: D, row: 4434, expected_value: Males, label: sex} + - {column: E, row: 4434, expected_value: Self-employed, label: employment type} + - {column: J, row: 4434, expected_value: Value, label: measure} + - {column: L, row: 4435, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4436 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4436, expected_value: E12000002, label: geography} + - {column: D, row: 4436, expected_value: Males, label: sex} + - {column: E, row: 4436, expected_value: Self-employed, label: employment type} + - {column: J, row: 4436, expected_value: Value, label: measure} + - {column: L, row: 4437, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4438 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4438, expected_value: E12000002, label: geography} + - {column: D, row: 4438, expected_value: Males, label: sex} + - {column: E, row: 4438, expected_value: Self-employed, label: employment type} + - {column: J, row: 4438, expected_value: Value, label: measure} + - {column: L, row: 4439, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4440 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4440, expected_value: E12000002, label: geography} + - {column: D, row: 4440, expected_value: Males, label: sex} + - {column: E, row: 4440, expected_value: Self-employed, label: employment type} + - {column: J, row: 4440, expected_value: Value, label: measure} + - {column: L, row: 4441, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4442 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4442, expected_value: E12000002, label: geography} + - {column: D, row: 4442, expected_value: Males, label: sex} + - {column: E, row: 4442, expected_value: Self-employed, label: employment type} + - {column: J, row: 4442, expected_value: Value, label: measure} + - {column: L, row: 4443, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4444 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4444, expected_value: E12000002, label: geography} + - {column: D, row: 4444, expected_value: Males, label: sex} + - {column: E, row: 4444, expected_value: Self-employed, label: employment type} + - {column: J, row: 4444, expected_value: Value, label: measure} + - {column: L, row: 4445, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4448 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4448, expected_value: E12000002, label: geography} + - {column: D, row: 4448, expected_value: Males, label: sex} + - {column: E, row: 4448, expected_value: Self-employed, label: employment type} + - {column: J, row: 4448, expected_value: Value, label: measure} + - {column: L, row: 4449, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4450 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4450, expected_value: E12000002, label: geography} + - {column: D, row: 4450, expected_value: Males, label: sex} + - {column: E, row: 4450, expected_value: Self-employed, label: employment type} + - {column: J, row: 4450, expected_value: Value, label: measure} + - {column: L, row: 4451, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4454 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4454, expected_value: E12000002, label: geography} + - {column: D, row: 4454, expected_value: Males, label: sex} + - {column: E, row: 4454, expected_value: Self-employed, label: employment type} + - {column: J, row: 4454, expected_value: Value, label: measure} + - {column: L, row: 4455, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4456 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4456, expected_value: E12000002, label: geography} + - {column: D, row: 4456, expected_value: Males, label: sex} + - {column: E, row: 4456, expected_value: Self-employed, label: employment type} + - {column: J, row: 4456, expected_value: Value, label: measure} + - {column: L, row: 4457, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4458 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4458, expected_value: E12000002, label: geography} + - {column: D, row: 4458, expected_value: Males, label: sex} + - {column: E, row: 4458, expected_value: Self-employed, label: employment type} + - {column: J, row: 4458, expected_value: Value, label: measure} + - {column: L, row: 4459, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4460 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4460, expected_value: E12000002, label: geography} + - {column: D, row: 4460, expected_value: Males, label: sex} + - {column: E, row: 4460, expected_value: Self-employed, label: employment type} + - {column: J, row: 4460, expected_value: Value, label: measure} + - {column: L, row: 4461, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4462 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4462, expected_value: E12000002, label: geography} + - {column: D, row: 4462, expected_value: Males, label: sex} + - {column: E, row: 4462, expected_value: Self-employed, label: employment type} + - {column: J, row: 4462, expected_value: Value, label: measure} + - {column: L, row: 4463, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4464 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4464, expected_value: E12000002, label: geography} + - {column: D, row: 4464, expected_value: Males, label: sex} + - {column: E, row: 4464, expected_value: Self-employed, label: employment type} + - {column: J, row: 4464, expected_value: Value, label: measure} + - {column: L, row: 4465, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4395 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4395, expected_value: E12000002, label: geography} + - {column: D, row: 4395, expected_value: Males, label: sex} + - {column: E, row: 4395, expected_value: Self-employed, label: employment type} + - {column: J, row: 4395, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4397 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4397, expected_value: E12000002, label: geography} + - {column: D, row: 4397, expected_value: Males, label: sex} + - {column: E, row: 4397, expected_value: Self-employed, label: employment type} + - {column: J, row: 4397, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4399 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4399, expected_value: E12000002, label: geography} + - {column: D, row: 4399, expected_value: Males, label: sex} + - {column: E, row: 4399, expected_value: Self-employed, label: employment type} + - {column: J, row: 4399, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4401 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4401, expected_value: E12000002, label: geography} + - {column: D, row: 4401, expected_value: Males, label: sex} + - {column: E, row: 4401, expected_value: Self-employed, label: employment type} + - {column: J, row: 4401, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4403 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4403, expected_value: E12000002, label: geography} + - {column: D, row: 4403, expected_value: Males, label: sex} + - {column: E, row: 4403, expected_value: Self-employed, label: employment type} + - {column: J, row: 4403, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4405 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4405, expected_value: E12000002, label: geography} + - {column: D, row: 4405, expected_value: Males, label: sex} + - {column: E, row: 4405, expected_value: Self-employed, label: employment type} + - {column: J, row: 4405, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4407 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4407, expected_value: E12000002, label: geography} + - {column: D, row: 4407, expected_value: Males, label: sex} + - {column: E, row: 4407, expected_value: Self-employed, label: employment type} + - {column: J, row: 4407, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4409 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4409, expected_value: E12000002, label: geography} + - {column: D, row: 4409, expected_value: Males, label: sex} + - {column: E, row: 4409, expected_value: Self-employed, label: employment type} + - {column: J, row: 4409, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4411 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4411, expected_value: E12000002, label: geography} + - {column: D, row: 4411, expected_value: Males, label: sex} + - {column: E, row: 4411, expected_value: Self-employed, label: employment type} + - {column: J, row: 4411, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4413 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4413, expected_value: E12000002, label: geography} + - {column: D, row: 4413, expected_value: Males, label: sex} + - {column: E, row: 4413, expected_value: Self-employed, label: employment type} + - {column: J, row: 4413, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4421 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4421, expected_value: E12000002, label: geography} + - {column: D, row: 4421, expected_value: Males, label: sex} + - {column: E, row: 4421, expected_value: Self-employed, label: employment type} + - {column: J, row: 4421, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4423 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4423, expected_value: E12000002, label: geography} + - {column: D, row: 4423, expected_value: Males, label: sex} + - {column: E, row: 4423, expected_value: Self-employed, label: employment type} + - {column: J, row: 4423, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4425 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4425, expected_value: E12000002, label: geography} + - {column: D, row: 4425, expected_value: Males, label: sex} + - {column: E, row: 4425, expected_value: Self-employed, label: employment type} + - {column: J, row: 4425, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4427 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4427, expected_value: E12000002, label: geography} + - {column: D, row: 4427, expected_value: Males, label: sex} + - {column: E, row: 4427, expected_value: Self-employed, label: employment type} + - {column: J, row: 4427, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4431 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4431, expected_value: E12000002, label: geography} + - {column: D, row: 4431, expected_value: Males, label: sex} + - {column: E, row: 4431, expected_value: Self-employed, label: employment type} + - {column: J, row: 4431, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4433 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4433, expected_value: E12000002, label: geography} + - {column: D, row: 4433, expected_value: Males, label: sex} + - {column: E, row: 4433, expected_value: Self-employed, label: employment type} + - {column: J, row: 4433, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4435 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4435, expected_value: E12000002, label: geography} + - {column: D, row: 4435, expected_value: Males, label: sex} + - {column: E, row: 4435, expected_value: Self-employed, label: employment type} + - {column: J, row: 4435, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4437 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4437, expected_value: E12000002, label: geography} + - {column: D, row: 4437, expected_value: Males, label: sex} + - {column: E, row: 4437, expected_value: Self-employed, label: employment type} + - {column: J, row: 4437, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4439 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4439, expected_value: E12000002, label: geography} + - {column: D, row: 4439, expected_value: Males, label: sex} + - {column: E, row: 4439, expected_value: Self-employed, label: employment type} + - {column: J, row: 4439, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4441 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4441, expected_value: E12000002, label: geography} + - {column: D, row: 4441, expected_value: Males, label: sex} + - {column: E, row: 4441, expected_value: Self-employed, label: employment type} + - {column: J, row: 4441, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4445 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4445, expected_value: E12000002, label: geography} + - {column: D, row: 4445, expected_value: Males, label: sex} + - {column: E, row: 4445, expected_value: Self-employed, label: employment type} + - {column: J, row: 4445, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4449 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4449, expected_value: E12000002, label: geography} + - {column: D, row: 4449, expected_value: Males, label: sex} + - {column: E, row: 4449, expected_value: Self-employed, label: employment type} + - {column: J, row: 4449, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4451 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4451, expected_value: E12000002, label: geography} + - {column: D, row: 4451, expected_value: Males, label: sex} + - {column: E, row: 4451, expected_value: Self-employed, label: employment type} + - {column: J, row: 4451, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4455 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4455, expected_value: E12000002, label: geography} + - {column: D, row: 4455, expected_value: Males, label: sex} + - {column: E, row: 4455, expected_value: Self-employed, label: employment type} + - {column: J, row: 4455, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4457 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4457, expected_value: E12000002, label: geography} + - {column: D, row: 4457, expected_value: Males, label: sex} + - {column: E, row: 4457, expected_value: Self-employed, label: employment type} + - {column: J, row: 4457, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4459 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4459, expected_value: E12000002, label: geography} + - {column: D, row: 4459, expected_value: Males, label: sex} + - {column: E, row: 4459, expected_value: Self-employed, label: employment type} + - {column: J, row: 4459, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4461 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4461, expected_value: E12000002, label: geography} + - {column: D, row: 4461, expected_value: Males, label: sex} + - {column: E, row: 4461, expected_value: Self-employed, label: employment type} + - {column: J, row: 4461, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4463 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4463, expected_value: E12000002, label: geography} + - {column: D, row: 4463, expected_value: Males, label: sex} + - {column: E, row: 4463, expected_value: Self-employed, label: employment type} + - {column: J, row: 4463, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4465 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4465, expected_value: E12000002, label: geography} + - {column: D, row: 4465, expected_value: Males, label: sex} + - {column: E, row: 4465, expected_value: Self-employed, label: employment type} + - {column: J, row: 4465, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4034 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4034, expected_value: E12000002, label: geography} + - {column: D, row: 4034, expected_value: Females, label: sex} + - {column: E, row: 4034, expected_value: Total, label: employment type} + - {column: J, row: 4034, expected_value: Value, label: measure} + - {column: L, row: 4035, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4036 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4036, expected_value: E12000002, label: geography} + - {column: D, row: 4036, expected_value: Females, label: sex} + - {column: E, row: 4036, expected_value: Total, label: employment type} + - {column: J, row: 4036, expected_value: Value, label: measure} + - {column: L, row: 4037, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4038 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4038, expected_value: E12000002, label: geography} + - {column: D, row: 4038, expected_value: Females, label: sex} + - {column: E, row: 4038, expected_value: Total, label: employment type} + - {column: J, row: 4038, expected_value: Value, label: measure} + - {column: L, row: 4039, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4040 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4040, expected_value: E12000002, label: geography} + - {column: D, row: 4040, expected_value: Females, label: sex} + - {column: E, row: 4040, expected_value: Total, label: employment type} + - {column: J, row: 4040, expected_value: Value, label: measure} + - {column: L, row: 4041, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4042 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4042, expected_value: E12000002, label: geography} + - {column: D, row: 4042, expected_value: Females, label: sex} + - {column: E, row: 4042, expected_value: Total, label: employment type} + - {column: J, row: 4042, expected_value: Value, label: measure} + - {column: L, row: 4043, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4044 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4044, expected_value: E12000002, label: geography} + - {column: D, row: 4044, expected_value: Females, label: sex} + - {column: E, row: 4044, expected_value: Total, label: employment type} + - {column: J, row: 4044, expected_value: Value, label: measure} + - {column: L, row: 4045, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4046 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4046, expected_value: E12000002, label: geography} + - {column: D, row: 4046, expected_value: Females, label: sex} + - {column: E, row: 4046, expected_value: Total, label: employment type} + - {column: J, row: 4046, expected_value: Value, label: measure} + - {column: L, row: 4047, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4048 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4048, expected_value: E12000002, label: geography} + - {column: D, row: 4048, expected_value: Females, label: sex} + - {column: E, row: 4048, expected_value: Total, label: employment type} + - {column: J, row: 4048, expected_value: Value, label: measure} + - {column: L, row: 4049, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4050 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4050, expected_value: E12000002, label: geography} + - {column: D, row: 4050, expected_value: Females, label: sex} + - {column: E, row: 4050, expected_value: Total, label: employment type} + - {column: J, row: 4050, expected_value: Value, label: measure} + - {column: L, row: 4051, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4052 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4052, expected_value: E12000002, label: geography} + - {column: D, row: 4052, expected_value: Females, label: sex} + - {column: E, row: 4052, expected_value: Total, label: employment type} + - {column: J, row: 4052, expected_value: Value, label: measure} + - {column: L, row: 4053, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4054 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4054, expected_value: E12000002, label: geography} + - {column: D, row: 4054, expected_value: Females, label: sex} + - {column: E, row: 4054, expected_value: Total, label: employment type} + - {column: J, row: 4054, expected_value: Value, label: measure} + - {column: L, row: 4055, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4056 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4056, expected_value: E12000002, label: geography} + - {column: D, row: 4056, expected_value: Females, label: sex} + - {column: E, row: 4056, expected_value: Total, label: employment type} + - {column: J, row: 4056, expected_value: Value, label: measure} + - {column: L, row: 4057, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4058 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4058, expected_value: E12000002, label: geography} + - {column: D, row: 4058, expected_value: Females, label: sex} + - {column: E, row: 4058, expected_value: Total, label: employment type} + - {column: J, row: 4058, expected_value: Value, label: measure} + - {column: L, row: 4059, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4060 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4060, expected_value: E12000002, label: geography} + - {column: D, row: 4060, expected_value: Females, label: sex} + - {column: E, row: 4060, expected_value: Total, label: employment type} + - {column: J, row: 4060, expected_value: Value, label: measure} + - {column: L, row: 4061, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4062 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4062, expected_value: E12000002, label: geography} + - {column: D, row: 4062, expected_value: Females, label: sex} + - {column: E, row: 4062, expected_value: Total, label: employment type} + - {column: J, row: 4062, expected_value: Value, label: measure} + - {column: L, row: 4063, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4064 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4064, expected_value: E12000002, label: geography} + - {column: D, row: 4064, expected_value: Females, label: sex} + - {column: E, row: 4064, expected_value: Total, label: employment type} + - {column: J, row: 4064, expected_value: Value, label: measure} + - {column: L, row: 4065, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4066 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4066, expected_value: E12000002, label: geography} + - {column: D, row: 4066, expected_value: Females, label: sex} + - {column: E, row: 4066, expected_value: Total, label: employment type} + - {column: J, row: 4066, expected_value: Value, label: measure} + - {column: L, row: 4067, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4068 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4068, expected_value: E12000002, label: geography} + - {column: D, row: 4068, expected_value: Females, label: sex} + - {column: E, row: 4068, expected_value: Total, label: employment type} + - {column: J, row: 4068, expected_value: Value, label: measure} + - {column: L, row: 4069, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4070 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4070, expected_value: E12000002, label: geography} + - {column: D, row: 4070, expected_value: Females, label: sex} + - {column: E, row: 4070, expected_value: Total, label: employment type} + - {column: J, row: 4070, expected_value: Value, label: measure} + - {column: L, row: 4071, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4072 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4072, expected_value: E12000002, label: geography} + - {column: D, row: 4072, expected_value: Females, label: sex} + - {column: E, row: 4072, expected_value: Total, label: employment type} + - {column: J, row: 4072, expected_value: Value, label: measure} + - {column: L, row: 4073, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4074 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4074, expected_value: E12000002, label: geography} + - {column: D, row: 4074, expected_value: Females, label: sex} + - {column: E, row: 4074, expected_value: Total, label: employment type} + - {column: J, row: 4074, expected_value: Value, label: measure} + - {column: L, row: 4075, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4076 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4076, expected_value: E12000002, label: geography} + - {column: D, row: 4076, expected_value: Females, label: sex} + - {column: E, row: 4076, expected_value: Total, label: employment type} + - {column: J, row: 4076, expected_value: Value, label: measure} + - {column: L, row: 4077, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4078 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4078, expected_value: E12000002, label: geography} + - {column: D, row: 4078, expected_value: Females, label: sex} + - {column: E, row: 4078, expected_value: Total, label: employment type} + - {column: J, row: 4078, expected_value: Value, label: measure} + - {column: L, row: 4079, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4080 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4080, expected_value: E12000002, label: geography} + - {column: D, row: 4080, expected_value: Females, label: sex} + - {column: E, row: 4080, expected_value: Total, label: employment type} + - {column: J, row: 4080, expected_value: Value, label: measure} + - {column: L, row: 4081, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4082 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4082, expected_value: E12000002, label: geography} + - {column: D, row: 4082, expected_value: Females, label: sex} + - {column: E, row: 4082, expected_value: Total, label: employment type} + - {column: J, row: 4082, expected_value: Value, label: measure} + - {column: L, row: 4083, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4084 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4084, expected_value: E12000002, label: geography} + - {column: D, row: 4084, expected_value: Females, label: sex} + - {column: E, row: 4084, expected_value: Total, label: employment type} + - {column: J, row: 4084, expected_value: Value, label: measure} + - {column: L, row: 4085, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4088 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4088, expected_value: E12000002, label: geography} + - {column: D, row: 4088, expected_value: Females, label: sex} + - {column: E, row: 4088, expected_value: Total, label: employment type} + - {column: J, row: 4088, expected_value: Value, label: measure} + - {column: L, row: 4089, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4090 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4090, expected_value: E12000002, label: geography} + - {column: D, row: 4090, expected_value: Females, label: sex} + - {column: E, row: 4090, expected_value: Total, label: employment type} + - {column: J, row: 4090, expected_value: Value, label: measure} + - {column: L, row: 4091, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4092 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4092, expected_value: E12000002, label: geography} + - {column: D, row: 4092, expected_value: Females, label: sex} + - {column: E, row: 4092, expected_value: Total, label: employment type} + - {column: J, row: 4092, expected_value: Value, label: measure} + - {column: L, row: 4093, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4094 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4094, expected_value: E12000002, label: geography} + - {column: D, row: 4094, expected_value: Females, label: sex} + - {column: E, row: 4094, expected_value: Total, label: employment type} + - {column: J, row: 4094, expected_value: Value, label: measure} + - {column: L, row: 4095, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4096 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4096, expected_value: E12000002, label: geography} + - {column: D, row: 4096, expected_value: Females, label: sex} + - {column: E, row: 4096, expected_value: Total, label: employment type} + - {column: J, row: 4096, expected_value: Value, label: measure} + - {column: L, row: 4097, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4098 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4098, expected_value: E12000002, label: geography} + - {column: D, row: 4098, expected_value: Females, label: sex} + - {column: E, row: 4098, expected_value: Total, label: employment type} + - {column: J, row: 4098, expected_value: Value, label: measure} + - {column: L, row: 4099, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4100 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4100, expected_value: E12000002, label: geography} + - {column: D, row: 4100, expected_value: Females, label: sex} + - {column: E, row: 4100, expected_value: Total, label: employment type} + - {column: J, row: 4100, expected_value: Value, label: measure} + - {column: L, row: 4101, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4102 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4102, expected_value: E12000002, label: geography} + - {column: D, row: 4102, expected_value: Females, label: sex} + - {column: E, row: 4102, expected_value: Total, label: employment type} + - {column: J, row: 4102, expected_value: Value, label: measure} + - {column: L, row: 4103, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4104 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4104, expected_value: E12000002, label: geography} + - {column: D, row: 4104, expected_value: Females, label: sex} + - {column: E, row: 4104, expected_value: Total, label: employment type} + - {column: J, row: 4104, expected_value: Value, label: measure} + - {column: L, row: 4105, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4035 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4035, expected_value: E12000002, label: geography} + - {column: D, row: 4035, expected_value: Females, label: sex} + - {column: E, row: 4035, expected_value: Total, label: employment type} + - {column: J, row: 4035, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4037 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4037, expected_value: E12000002, label: geography} + - {column: D, row: 4037, expected_value: Females, label: sex} + - {column: E, row: 4037, expected_value: Total, label: employment type} + - {column: J, row: 4037, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4039 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4039, expected_value: E12000002, label: geography} + - {column: D, row: 4039, expected_value: Females, label: sex} + - {column: E, row: 4039, expected_value: Total, label: employment type} + - {column: J, row: 4039, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4041 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4041, expected_value: E12000002, label: geography} + - {column: D, row: 4041, expected_value: Females, label: sex} + - {column: E, row: 4041, expected_value: Total, label: employment type} + - {column: J, row: 4041, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4043 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4043, expected_value: E12000002, label: geography} + - {column: D, row: 4043, expected_value: Females, label: sex} + - {column: E, row: 4043, expected_value: Total, label: employment type} + - {column: J, row: 4043, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4045 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4045, expected_value: E12000002, label: geography} + - {column: D, row: 4045, expected_value: Females, label: sex} + - {column: E, row: 4045, expected_value: Total, label: employment type} + - {column: J, row: 4045, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4047 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4047, expected_value: E12000002, label: geography} + - {column: D, row: 4047, expected_value: Females, label: sex} + - {column: E, row: 4047, expected_value: Total, label: employment type} + - {column: J, row: 4047, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4049 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4049, expected_value: E12000002, label: geography} + - {column: D, row: 4049, expected_value: Females, label: sex} + - {column: E, row: 4049, expected_value: Total, label: employment type} + - {column: J, row: 4049, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4051 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4051, expected_value: E12000002, label: geography} + - {column: D, row: 4051, expected_value: Females, label: sex} + - {column: E, row: 4051, expected_value: Total, label: employment type} + - {column: J, row: 4051, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4053 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4053, expected_value: E12000002, label: geography} + - {column: D, row: 4053, expected_value: Females, label: sex} + - {column: E, row: 4053, expected_value: Total, label: employment type} + - {column: J, row: 4053, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4055 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4055, expected_value: E12000002, label: geography} + - {column: D, row: 4055, expected_value: Females, label: sex} + - {column: E, row: 4055, expected_value: Total, label: employment type} + - {column: J, row: 4055, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4057 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4057, expected_value: E12000002, label: geography} + - {column: D, row: 4057, expected_value: Females, label: sex} + - {column: E, row: 4057, expected_value: Total, label: employment type} + - {column: J, row: 4057, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4059 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4059, expected_value: E12000002, label: geography} + - {column: D, row: 4059, expected_value: Females, label: sex} + - {column: E, row: 4059, expected_value: Total, label: employment type} + - {column: J, row: 4059, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4061 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4061, expected_value: E12000002, label: geography} + - {column: D, row: 4061, expected_value: Females, label: sex} + - {column: E, row: 4061, expected_value: Total, label: employment type} + - {column: J, row: 4061, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4063 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4063, expected_value: E12000002, label: geography} + - {column: D, row: 4063, expected_value: Females, label: sex} + - {column: E, row: 4063, expected_value: Total, label: employment type} + - {column: J, row: 4063, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4065 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4065, expected_value: E12000002, label: geography} + - {column: D, row: 4065, expected_value: Females, label: sex} + - {column: E, row: 4065, expected_value: Total, label: employment type} + - {column: J, row: 4065, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4067 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4067, expected_value: E12000002, label: geography} + - {column: D, row: 4067, expected_value: Females, label: sex} + - {column: E, row: 4067, expected_value: Total, label: employment type} + - {column: J, row: 4067, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4069 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4069, expected_value: E12000002, label: geography} + - {column: D, row: 4069, expected_value: Females, label: sex} + - {column: E, row: 4069, expected_value: Total, label: employment type} + - {column: J, row: 4069, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4071 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4071, expected_value: E12000002, label: geography} + - {column: D, row: 4071, expected_value: Females, label: sex} + - {column: E, row: 4071, expected_value: Total, label: employment type} + - {column: J, row: 4071, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4073 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4073, expected_value: E12000002, label: geography} + - {column: D, row: 4073, expected_value: Females, label: sex} + - {column: E, row: 4073, expected_value: Total, label: employment type} + - {column: J, row: 4073, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4079 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4079, expected_value: E12000002, label: geography} + - {column: D, row: 4079, expected_value: Females, label: sex} + - {column: E, row: 4079, expected_value: Total, label: employment type} + - {column: J, row: 4079, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4081 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4081, expected_value: E12000002, label: geography} + - {column: D, row: 4081, expected_value: Females, label: sex} + - {column: E, row: 4081, expected_value: Total, label: employment type} + - {column: J, row: 4081, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4083 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4083, expected_value: E12000002, label: geography} + - {column: D, row: 4083, expected_value: Females, label: sex} + - {column: E, row: 4083, expected_value: Total, label: employment type} + - {column: J, row: 4083, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4085 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4085, expected_value: E12000002, label: geography} + - {column: D, row: 4085, expected_value: Females, label: sex} + - {column: E, row: 4085, expected_value: Total, label: employment type} + - {column: J, row: 4085, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4089 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4089, expected_value: E12000002, label: geography} + - {column: D, row: 4089, expected_value: Females, label: sex} + - {column: E, row: 4089, expected_value: Total, label: employment type} + - {column: J, row: 4089, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4091 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4091, expected_value: E12000002, label: geography} + - {column: D, row: 4091, expected_value: Females, label: sex} + - {column: E, row: 4091, expected_value: Total, label: employment type} + - {column: J, row: 4091, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4093 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4093, expected_value: E12000002, label: geography} + - {column: D, row: 4093, expected_value: Females, label: sex} + - {column: E, row: 4093, expected_value: Total, label: employment type} + - {column: J, row: 4093, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4095 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4095, expected_value: E12000002, label: geography} + - {column: D, row: 4095, expected_value: Females, label: sex} + - {column: E, row: 4095, expected_value: Total, label: employment type} + - {column: J, row: 4095, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4097 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4097, expected_value: E12000002, label: geography} + - {column: D, row: 4097, expected_value: Females, label: sex} + - {column: E, row: 4097, expected_value: Total, label: employment type} + - {column: J, row: 4097, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4099 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4099, expected_value: E12000002, label: geography} + - {column: D, row: 4099, expected_value: Females, label: sex} + - {column: E, row: 4099, expected_value: Total, label: employment type} + - {column: J, row: 4099, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4101 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4101, expected_value: E12000002, label: geography} + - {column: D, row: 4101, expected_value: Females, label: sex} + - {column: E, row: 4101, expected_value: Total, label: employment type} + - {column: J, row: 4101, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4103 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4103, expected_value: E12000002, label: geography} + - {column: D, row: 4103, expected_value: Females, label: sex} + - {column: E, row: 4103, expected_value: Total, label: employment type} + - {column: J, row: 4103, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4105 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4105, expected_value: E12000002, label: geography} + - {column: D, row: 4105, expected_value: Females, label: sex} + - {column: E, row: 4105, expected_value: Total, label: employment type} + - {column: J, row: 4105, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4250 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4250, expected_value: E12000002, label: geography} + - {column: D, row: 4250, expected_value: Females, label: sex} + - {column: E, row: 4250, expected_value: Employee, label: employment type} + - {column: J, row: 4250, expected_value: Value, label: measure} + - {column: L, row: 4251, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4252 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4252, expected_value: E12000002, label: geography} + - {column: D, row: 4252, expected_value: Females, label: sex} + - {column: E, row: 4252, expected_value: Employee, label: employment type} + - {column: J, row: 4252, expected_value: Value, label: measure} + - {column: L, row: 4253, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4254 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4254, expected_value: E12000002, label: geography} + - {column: D, row: 4254, expected_value: Females, label: sex} + - {column: E, row: 4254, expected_value: Employee, label: employment type} + - {column: J, row: 4254, expected_value: Value, label: measure} + - {column: L, row: 4255, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4256 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4256, expected_value: E12000002, label: geography} + - {column: D, row: 4256, expected_value: Females, label: sex} + - {column: E, row: 4256, expected_value: Employee, label: employment type} + - {column: J, row: 4256, expected_value: Value, label: measure} + - {column: L, row: 4257, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4258 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4258, expected_value: E12000002, label: geography} + - {column: D, row: 4258, expected_value: Females, label: sex} + - {column: E, row: 4258, expected_value: Employee, label: employment type} + - {column: J, row: 4258, expected_value: Value, label: measure} + - {column: L, row: 4259, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4260 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4260, expected_value: E12000002, label: geography} + - {column: D, row: 4260, expected_value: Females, label: sex} + - {column: E, row: 4260, expected_value: Employee, label: employment type} + - {column: J, row: 4260, expected_value: Value, label: measure} + - {column: L, row: 4261, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4262 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4262, expected_value: E12000002, label: geography} + - {column: D, row: 4262, expected_value: Females, label: sex} + - {column: E, row: 4262, expected_value: Employee, label: employment type} + - {column: J, row: 4262, expected_value: Value, label: measure} + - {column: L, row: 4263, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4264 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4264, expected_value: E12000002, label: geography} + - {column: D, row: 4264, expected_value: Females, label: sex} + - {column: E, row: 4264, expected_value: Employee, label: employment type} + - {column: J, row: 4264, expected_value: Value, label: measure} + - {column: L, row: 4265, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4266 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4266, expected_value: E12000002, label: geography} + - {column: D, row: 4266, expected_value: Females, label: sex} + - {column: E, row: 4266, expected_value: Employee, label: employment type} + - {column: J, row: 4266, expected_value: Value, label: measure} + - {column: L, row: 4267, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4268 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4268, expected_value: E12000002, label: geography} + - {column: D, row: 4268, expected_value: Females, label: sex} + - {column: E, row: 4268, expected_value: Employee, label: employment type} + - {column: J, row: 4268, expected_value: Value, label: measure} + - {column: L, row: 4269, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4270 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4270, expected_value: E12000002, label: geography} + - {column: D, row: 4270, expected_value: Females, label: sex} + - {column: E, row: 4270, expected_value: Employee, label: employment type} + - {column: J, row: 4270, expected_value: Value, label: measure} + - {column: L, row: 4271, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4272 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4272, expected_value: E12000002, label: geography} + - {column: D, row: 4272, expected_value: Females, label: sex} + - {column: E, row: 4272, expected_value: Employee, label: employment type} + - {column: J, row: 4272, expected_value: Value, label: measure} + - {column: L, row: 4273, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4274 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4274, expected_value: E12000002, label: geography} + - {column: D, row: 4274, expected_value: Females, label: sex} + - {column: E, row: 4274, expected_value: Employee, label: employment type} + - {column: J, row: 4274, expected_value: Value, label: measure} + - {column: L, row: 4275, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4276 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4276, expected_value: E12000002, label: geography} + - {column: D, row: 4276, expected_value: Females, label: sex} + - {column: E, row: 4276, expected_value: Employee, label: employment type} + - {column: J, row: 4276, expected_value: Value, label: measure} + - {column: L, row: 4277, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4278 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4278, expected_value: E12000002, label: geography} + - {column: D, row: 4278, expected_value: Females, label: sex} + - {column: E, row: 4278, expected_value: Employee, label: employment type} + - {column: J, row: 4278, expected_value: Value, label: measure} + - {column: L, row: 4279, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4280 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4280, expected_value: E12000002, label: geography} + - {column: D, row: 4280, expected_value: Females, label: sex} + - {column: E, row: 4280, expected_value: Employee, label: employment type} + - {column: J, row: 4280, expected_value: Value, label: measure} + - {column: L, row: 4281, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4282 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4282, expected_value: E12000002, label: geography} + - {column: D, row: 4282, expected_value: Females, label: sex} + - {column: E, row: 4282, expected_value: Employee, label: employment type} + - {column: J, row: 4282, expected_value: Value, label: measure} + - {column: L, row: 4283, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4284 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4284, expected_value: E12000002, label: geography} + - {column: D, row: 4284, expected_value: Females, label: sex} + - {column: E, row: 4284, expected_value: Employee, label: employment type} + - {column: J, row: 4284, expected_value: Value, label: measure} + - {column: L, row: 4285, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4286 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4286, expected_value: E12000002, label: geography} + - {column: D, row: 4286, expected_value: Females, label: sex} + - {column: E, row: 4286, expected_value: Employee, label: employment type} + - {column: J, row: 4286, expected_value: Value, label: measure} + - {column: L, row: 4287, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4288 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4288, expected_value: E12000002, label: geography} + - {column: D, row: 4288, expected_value: Females, label: sex} + - {column: E, row: 4288, expected_value: Employee, label: employment type} + - {column: J, row: 4288, expected_value: Value, label: measure} + - {column: L, row: 4289, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4290 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4290, expected_value: E12000002, label: geography} + - {column: D, row: 4290, expected_value: Females, label: sex} + - {column: E, row: 4290, expected_value: Employee, label: employment type} + - {column: J, row: 4290, expected_value: Value, label: measure} + - {column: L, row: 4291, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4292 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4292, expected_value: E12000002, label: geography} + - {column: D, row: 4292, expected_value: Females, label: sex} + - {column: E, row: 4292, expected_value: Employee, label: employment type} + - {column: J, row: 4292, expected_value: Value, label: measure} + - {column: L, row: 4293, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4294 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4294, expected_value: E12000002, label: geography} + - {column: D, row: 4294, expected_value: Females, label: sex} + - {column: E, row: 4294, expected_value: Employee, label: employment type} + - {column: J, row: 4294, expected_value: Value, label: measure} + - {column: L, row: 4295, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4296 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4296, expected_value: E12000002, label: geography} + - {column: D, row: 4296, expected_value: Females, label: sex} + - {column: E, row: 4296, expected_value: Employee, label: employment type} + - {column: J, row: 4296, expected_value: Value, label: measure} + - {column: L, row: 4297, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4298 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4298, expected_value: E12000002, label: geography} + - {column: D, row: 4298, expected_value: Females, label: sex} + - {column: E, row: 4298, expected_value: Employee, label: employment type} + - {column: J, row: 4298, expected_value: Value, label: measure} + - {column: L, row: 4299, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4300 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4300, expected_value: E12000002, label: geography} + - {column: D, row: 4300, expected_value: Females, label: sex} + - {column: E, row: 4300, expected_value: Employee, label: employment type} + - {column: J, row: 4300, expected_value: Value, label: measure} + - {column: L, row: 4301, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4304 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4304, expected_value: E12000002, label: geography} + - {column: D, row: 4304, expected_value: Females, label: sex} + - {column: E, row: 4304, expected_value: Employee, label: employment type} + - {column: J, row: 4304, expected_value: Value, label: measure} + - {column: L, row: 4305, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4306 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4306, expected_value: E12000002, label: geography} + - {column: D, row: 4306, expected_value: Females, label: sex} + - {column: E, row: 4306, expected_value: Employee, label: employment type} + - {column: J, row: 4306, expected_value: Value, label: measure} + - {column: L, row: 4307, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4308 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4308, expected_value: E12000002, label: geography} + - {column: D, row: 4308, expected_value: Females, label: sex} + - {column: E, row: 4308, expected_value: Employee, label: employment type} + - {column: J, row: 4308, expected_value: Value, label: measure} + - {column: L, row: 4309, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4310 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4310, expected_value: E12000002, label: geography} + - {column: D, row: 4310, expected_value: Females, label: sex} + - {column: E, row: 4310, expected_value: Employee, label: employment type} + - {column: J, row: 4310, expected_value: Value, label: measure} + - {column: L, row: 4311, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4312 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4312, expected_value: E12000002, label: geography} + - {column: D, row: 4312, expected_value: Females, label: sex} + - {column: E, row: 4312, expected_value: Employee, label: employment type} + - {column: J, row: 4312, expected_value: Value, label: measure} + - {column: L, row: 4313, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4314 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4314, expected_value: E12000002, label: geography} + - {column: D, row: 4314, expected_value: Females, label: sex} + - {column: E, row: 4314, expected_value: Employee, label: employment type} + - {column: J, row: 4314, expected_value: Value, label: measure} + - {column: L, row: 4315, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4316 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4316, expected_value: E12000002, label: geography} + - {column: D, row: 4316, expected_value: Females, label: sex} + - {column: E, row: 4316, expected_value: Employee, label: employment type} + - {column: J, row: 4316, expected_value: Value, label: measure} + - {column: L, row: 4317, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4318 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4318, expected_value: E12000002, label: geography} + - {column: D, row: 4318, expected_value: Females, label: sex} + - {column: E, row: 4318, expected_value: Employee, label: employment type} + - {column: J, row: 4318, expected_value: Value, label: measure} + - {column: L, row: 4319, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4320 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4320, expected_value: E12000002, label: geography} + - {column: D, row: 4320, expected_value: Females, label: sex} + - {column: E, row: 4320, expected_value: Employee, label: employment type} + - {column: J, row: 4320, expected_value: Value, label: measure} + - {column: L, row: 4321, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4251 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4251, expected_value: E12000002, label: geography} + - {column: D, row: 4251, expected_value: Females, label: sex} + - {column: E, row: 4251, expected_value: Employee, label: employment type} + - {column: J, row: 4251, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4253 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4253, expected_value: E12000002, label: geography} + - {column: D, row: 4253, expected_value: Females, label: sex} + - {column: E, row: 4253, expected_value: Employee, label: employment type} + - {column: J, row: 4253, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4255 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4255, expected_value: E12000002, label: geography} + - {column: D, row: 4255, expected_value: Females, label: sex} + - {column: E, row: 4255, expected_value: Employee, label: employment type} + - {column: J, row: 4255, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4257 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4257, expected_value: E12000002, label: geography} + - {column: D, row: 4257, expected_value: Females, label: sex} + - {column: E, row: 4257, expected_value: Employee, label: employment type} + - {column: J, row: 4257, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4259 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4259, expected_value: E12000002, label: geography} + - {column: D, row: 4259, expected_value: Females, label: sex} + - {column: E, row: 4259, expected_value: Employee, label: employment type} + - {column: J, row: 4259, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4261 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4261, expected_value: E12000002, label: geography} + - {column: D, row: 4261, expected_value: Females, label: sex} + - {column: E, row: 4261, expected_value: Employee, label: employment type} + - {column: J, row: 4261, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4263 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4263, expected_value: E12000002, label: geography} + - {column: D, row: 4263, expected_value: Females, label: sex} + - {column: E, row: 4263, expected_value: Employee, label: employment type} + - {column: J, row: 4263, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4265 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4265, expected_value: E12000002, label: geography} + - {column: D, row: 4265, expected_value: Females, label: sex} + - {column: E, row: 4265, expected_value: Employee, label: employment type} + - {column: J, row: 4265, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4267 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4267, expected_value: E12000002, label: geography} + - {column: D, row: 4267, expected_value: Females, label: sex} + - {column: E, row: 4267, expected_value: Employee, label: employment type} + - {column: J, row: 4267, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4269 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4269, expected_value: E12000002, label: geography} + - {column: D, row: 4269, expected_value: Females, label: sex} + - {column: E, row: 4269, expected_value: Employee, label: employment type} + - {column: J, row: 4269, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4271 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4271, expected_value: E12000002, label: geography} + - {column: D, row: 4271, expected_value: Females, label: sex} + - {column: E, row: 4271, expected_value: Employee, label: employment type} + - {column: J, row: 4271, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4273 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4273, expected_value: E12000002, label: geography} + - {column: D, row: 4273, expected_value: Females, label: sex} + - {column: E, row: 4273, expected_value: Employee, label: employment type} + - {column: J, row: 4273, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4275 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4275, expected_value: E12000002, label: geography} + - {column: D, row: 4275, expected_value: Females, label: sex} + - {column: E, row: 4275, expected_value: Employee, label: employment type} + - {column: J, row: 4275, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4277 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4277, expected_value: E12000002, label: geography} + - {column: D, row: 4277, expected_value: Females, label: sex} + - {column: E, row: 4277, expected_value: Employee, label: employment type} + - {column: J, row: 4277, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4279 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4279, expected_value: E12000002, label: geography} + - {column: D, row: 4279, expected_value: Females, label: sex} + - {column: E, row: 4279, expected_value: Employee, label: employment type} + - {column: J, row: 4279, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4281 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4281, expected_value: E12000002, label: geography} + - {column: D, row: 4281, expected_value: Females, label: sex} + - {column: E, row: 4281, expected_value: Employee, label: employment type} + - {column: J, row: 4281, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4283 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4283, expected_value: E12000002, label: geography} + - {column: D, row: 4283, expected_value: Females, label: sex} + - {column: E, row: 4283, expected_value: Employee, label: employment type} + - {column: J, row: 4283, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4285 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4285, expected_value: E12000002, label: geography} + - {column: D, row: 4285, expected_value: Females, label: sex} + - {column: E, row: 4285, expected_value: Employee, label: employment type} + - {column: J, row: 4285, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4287 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4287, expected_value: E12000002, label: geography} + - {column: D, row: 4287, expected_value: Females, label: sex} + - {column: E, row: 4287, expected_value: Employee, label: employment type} + - {column: J, row: 4287, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4295 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4295, expected_value: E12000002, label: geography} + - {column: D, row: 4295, expected_value: Females, label: sex} + - {column: E, row: 4295, expected_value: Employee, label: employment type} + - {column: J, row: 4295, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4297 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4297, expected_value: E12000002, label: geography} + - {column: D, row: 4297, expected_value: Females, label: sex} + - {column: E, row: 4297, expected_value: Employee, label: employment type} + - {column: J, row: 4297, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4299 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4299, expected_value: E12000002, label: geography} + - {column: D, row: 4299, expected_value: Females, label: sex} + - {column: E, row: 4299, expected_value: Employee, label: employment type} + - {column: J, row: 4299, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4301 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4301, expected_value: E12000002, label: geography} + - {column: D, row: 4301, expected_value: Females, label: sex} + - {column: E, row: 4301, expected_value: Employee, label: employment type} + - {column: J, row: 4301, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4305 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4305, expected_value: E12000002, label: geography} + - {column: D, row: 4305, expected_value: Females, label: sex} + - {column: E, row: 4305, expected_value: Employee, label: employment type} + - {column: J, row: 4305, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4307 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4307, expected_value: E12000002, label: geography} + - {column: D, row: 4307, expected_value: Females, label: sex} + - {column: E, row: 4307, expected_value: Employee, label: employment type} + - {column: J, row: 4307, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4309 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4309, expected_value: E12000002, label: geography} + - {column: D, row: 4309, expected_value: Females, label: sex} + - {column: E, row: 4309, expected_value: Employee, label: employment type} + - {column: J, row: 4309, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4311 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4311, expected_value: E12000002, label: geography} + - {column: D, row: 4311, expected_value: Females, label: sex} + - {column: E, row: 4311, expected_value: Employee, label: employment type} + - {column: J, row: 4311, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4313 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4313, expected_value: E12000002, label: geography} + - {column: D, row: 4313, expected_value: Females, label: sex} + - {column: E, row: 4313, expected_value: Employee, label: employment type} + - {column: J, row: 4313, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4315 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4315, expected_value: E12000002, label: geography} + - {column: D, row: 4315, expected_value: Females, label: sex} + - {column: E, row: 4315, expected_value: Employee, label: employment type} + - {column: J, row: 4315, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4317 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4317, expected_value: E12000002, label: geography} + - {column: D, row: 4317, expected_value: Females, label: sex} + - {column: E, row: 4317, expected_value: Employee, label: employment type} + - {column: J, row: 4317, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4319 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4319, expected_value: E12000002, label: geography} + - {column: D, row: 4319, expected_value: Females, label: sex} + - {column: E, row: 4319, expected_value: Employee, label: employment type} + - {column: J, row: 4319, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4321 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4321, expected_value: E12000002, label: geography} + - {column: D, row: 4321, expected_value: Females, label: sex} + - {column: E, row: 4321, expected_value: Employee, label: employment type} + - {column: J, row: 4321, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4466 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4466, expected_value: E12000002, label: geography} + - {column: D, row: 4466, expected_value: Females, label: sex} + - {column: E, row: 4466, expected_value: Self-employed, label: employment type} + - {column: J, row: 4466, expected_value: Value, label: measure} + - {column: L, row: 4467, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4468 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4468, expected_value: E12000002, label: geography} + - {column: D, row: 4468, expected_value: Females, label: sex} + - {column: E, row: 4468, expected_value: Self-employed, label: employment type} + - {column: J, row: 4468, expected_value: Value, label: measure} + - {column: L, row: 4469, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4470 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4470, expected_value: E12000002, label: geography} + - {column: D, row: 4470, expected_value: Females, label: sex} + - {column: E, row: 4470, expected_value: Self-employed, label: employment type} + - {column: J, row: 4470, expected_value: Value, label: measure} + - {column: L, row: 4471, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4472 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4472, expected_value: E12000002, label: geography} + - {column: D, row: 4472, expected_value: Females, label: sex} + - {column: E, row: 4472, expected_value: Self-employed, label: employment type} + - {column: J, row: 4472, expected_value: Value, label: measure} + - {column: L, row: 4473, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4474 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4474, expected_value: E12000002, label: geography} + - {column: D, row: 4474, expected_value: Females, label: sex} + - {column: E, row: 4474, expected_value: Self-employed, label: employment type} + - {column: J, row: 4474, expected_value: Value, label: measure} + - {column: L, row: 4475, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4476 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4476, expected_value: E12000002, label: geography} + - {column: D, row: 4476, expected_value: Females, label: sex} + - {column: E, row: 4476, expected_value: Self-employed, label: employment type} + - {column: J, row: 4476, expected_value: Value, label: measure} + - {column: L, row: 4477, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4478 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4478, expected_value: E12000002, label: geography} + - {column: D, row: 4478, expected_value: Females, label: sex} + - {column: E, row: 4478, expected_value: Self-employed, label: employment type} + - {column: J, row: 4478, expected_value: Value, label: measure} + - {column: L, row: 4479, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4480 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4480, expected_value: E12000002, label: geography} + - {column: D, row: 4480, expected_value: Females, label: sex} + - {column: E, row: 4480, expected_value: Self-employed, label: employment type} + - {column: J, row: 4480, expected_value: Value, label: measure} + - {column: L, row: 4481, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4482 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4482, expected_value: E12000002, label: geography} + - {column: D, row: 4482, expected_value: Females, label: sex} + - {column: E, row: 4482, expected_value: Self-employed, label: employment type} + - {column: J, row: 4482, expected_value: Value, label: measure} + - {column: L, row: 4483, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4484 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4484, expected_value: E12000002, label: geography} + - {column: D, row: 4484, expected_value: Females, label: sex} + - {column: E, row: 4484, expected_value: Self-employed, label: employment type} + - {column: J, row: 4484, expected_value: Value, label: measure} + - {column: L, row: 4485, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4488 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4488, expected_value: E12000002, label: geography} + - {column: D, row: 4488, expected_value: Females, label: sex} + - {column: E, row: 4488, expected_value: Self-employed, label: employment type} + - {column: J, row: 4488, expected_value: Value, label: measure} + - {column: L, row: 4489, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4492 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4492, expected_value: E12000002, label: geography} + - {column: D, row: 4492, expected_value: Females, label: sex} + - {column: E, row: 4492, expected_value: Self-employed, label: employment type} + - {column: J, row: 4492, expected_value: Value, label: measure} + - {column: L, row: 4493, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4494 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4494, expected_value: E12000002, label: geography} + - {column: D, row: 4494, expected_value: Females, label: sex} + - {column: E, row: 4494, expected_value: Self-employed, label: employment type} + - {column: J, row: 4494, expected_value: Value, label: measure} + - {column: L, row: 4495, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4496 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4496, expected_value: E12000002, label: geography} + - {column: D, row: 4496, expected_value: Females, label: sex} + - {column: E, row: 4496, expected_value: Self-employed, label: employment type} + - {column: J, row: 4496, expected_value: Value, label: measure} + - {column: L, row: 4497, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4498 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4498, expected_value: E12000002, label: geography} + - {column: D, row: 4498, expected_value: Females, label: sex} + - {column: E, row: 4498, expected_value: Self-employed, label: employment type} + - {column: J, row: 4498, expected_value: Value, label: measure} + - {column: L, row: 4499, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4500 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4500, expected_value: E12000002, label: geography} + - {column: D, row: 4500, expected_value: Females, label: sex} + - {column: E, row: 4500, expected_value: Self-employed, label: employment type} + - {column: J, row: 4500, expected_value: Value, label: measure} + - {column: L, row: 4501, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4502 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4502, expected_value: E12000002, label: geography} + - {column: D, row: 4502, expected_value: Females, label: sex} + - {column: E, row: 4502, expected_value: Self-employed, label: employment type} + - {column: J, row: 4502, expected_value: Value, label: measure} + - {column: L, row: 4503, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4504 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4504, expected_value: E12000002, label: geography} + - {column: D, row: 4504, expected_value: Females, label: sex} + - {column: E, row: 4504, expected_value: Self-employed, label: employment type} + - {column: J, row: 4504, expected_value: Value, label: measure} + - {column: L, row: 4505, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4506 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4506, expected_value: E12000002, label: geography} + - {column: D, row: 4506, expected_value: Females, label: sex} + - {column: E, row: 4506, expected_value: Self-employed, label: employment type} + - {column: J, row: 4506, expected_value: Value, label: measure} + - {column: L, row: 4507, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4508 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4508, expected_value: E12000002, label: geography} + - {column: D, row: 4508, expected_value: Females, label: sex} + - {column: E, row: 4508, expected_value: Self-employed, label: employment type} + - {column: J, row: 4508, expected_value: Value, label: measure} + - {column: L, row: 4509, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4510 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4510, expected_value: E12000002, label: geography} + - {column: D, row: 4510, expected_value: Females, label: sex} + - {column: E, row: 4510, expected_value: Self-employed, label: employment type} + - {column: J, row: 4510, expected_value: Value, label: measure} + - {column: L, row: 4511, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4512 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4512, expected_value: E12000002, label: geography} + - {column: D, row: 4512, expected_value: Females, label: sex} + - {column: E, row: 4512, expected_value: Self-employed, label: employment type} + - {column: J, row: 4512, expected_value: Value, label: measure} + - {column: L, row: 4513, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4514 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4514, expected_value: E12000002, label: geography} + - {column: D, row: 4514, expected_value: Females, label: sex} + - {column: E, row: 4514, expected_value: Self-employed, label: employment type} + - {column: J, row: 4514, expected_value: Value, label: measure} + - {column: L, row: 4515, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4516 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4516, expected_value: E12000002, label: geography} + - {column: D, row: 4516, expected_value: Females, label: sex} + - {column: E, row: 4516, expected_value: Self-employed, label: employment type} + - {column: J, row: 4516, expected_value: Value, label: measure} + - {column: L, row: 4517, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4520 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4520, expected_value: E12000002, label: geography} + - {column: D, row: 4520, expected_value: Females, label: sex} + - {column: E, row: 4520, expected_value: Self-employed, label: employment type} + - {column: J, row: 4520, expected_value: Value, label: measure} + - {column: L, row: 4521, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4522 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4522, expected_value: E12000002, label: geography} + - {column: D, row: 4522, expected_value: Females, label: sex} + - {column: E, row: 4522, expected_value: Self-employed, label: employment type} + - {column: J, row: 4522, expected_value: Value, label: measure} + - {column: L, row: 4523, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4524 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4524, expected_value: E12000002, label: geography} + - {column: D, row: 4524, expected_value: Females, label: sex} + - {column: E, row: 4524, expected_value: Self-employed, label: employment type} + - {column: J, row: 4524, expected_value: Value, label: measure} + - {column: L, row: 4525, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4526 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4526, expected_value: E12000002, label: geography} + - {column: D, row: 4526, expected_value: Females, label: sex} + - {column: E, row: 4526, expected_value: Self-employed, label: employment type} + - {column: J, row: 4526, expected_value: Value, label: measure} + - {column: L, row: 4527, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4528 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4528, expected_value: E12000002, label: geography} + - {column: D, row: 4528, expected_value: Females, label: sex} + - {column: E, row: 4528, expected_value: Self-employed, label: employment type} + - {column: J, row: 4528, expected_value: Value, label: measure} + - {column: L, row: 4529, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4530 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4530, expected_value: E12000002, label: geography} + - {column: D, row: 4530, expected_value: Females, label: sex} + - {column: E, row: 4530, expected_value: Self-employed, label: employment type} + - {column: J, row: 4530, expected_value: Value, label: measure} + - {column: L, row: 4531, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4532 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4532, expected_value: E12000002, label: geography} + - {column: D, row: 4532, expected_value: Females, label: sex} + - {column: E, row: 4532, expected_value: Self-employed, label: employment type} + - {column: J, row: 4532, expected_value: Value, label: measure} + - {column: L, row: 4533, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4536 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4536, expected_value: E12000002, label: geography} + - {column: D, row: 4536, expected_value: Females, label: sex} + - {column: E, row: 4536, expected_value: Self-employed, label: employment type} + - {column: J, row: 4536, expected_value: Value, label: measure} + - {column: L, row: 4537, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000002.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000002.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000002.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000002 + geography_level: region + geography_name: North West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4467 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4467, expected_value: E12000002, label: geography} + - {column: D, row: 4467, expected_value: Females, label: sex} + - {column: E, row: 4467, expected_value: Self-employed, label: employment type} + - {column: J, row: 4467, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4469 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4469, expected_value: E12000002, label: geography} + - {column: D, row: 4469, expected_value: Females, label: sex} + - {column: E, row: 4469, expected_value: Self-employed, label: employment type} + - {column: J, row: 4469, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4471 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4471, expected_value: E12000002, label: geography} + - {column: D, row: 4471, expected_value: Females, label: sex} + - {column: E, row: 4471, expected_value: Self-employed, label: employment type} + - {column: J, row: 4471, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4473 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4473, expected_value: E12000002, label: geography} + - {column: D, row: 4473, expected_value: Females, label: sex} + - {column: E, row: 4473, expected_value: Self-employed, label: employment type} + - {column: J, row: 4473, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4475 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4475, expected_value: E12000002, label: geography} + - {column: D, row: 4475, expected_value: Females, label: sex} + - {column: E, row: 4475, expected_value: Self-employed, label: employment type} + - {column: J, row: 4475, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4479 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4479, expected_value: E12000002, label: geography} + - {column: D, row: 4479, expected_value: Females, label: sex} + - {column: E, row: 4479, expected_value: Self-employed, label: employment type} + - {column: J, row: 4479, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4481 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4481, expected_value: E12000002, label: geography} + - {column: D, row: 4481, expected_value: Females, label: sex} + - {column: E, row: 4481, expected_value: Self-employed, label: employment type} + - {column: J, row: 4481, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4483 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4483, expected_value: E12000002, label: geography} + - {column: D, row: 4483, expected_value: Females, label: sex} + - {column: E, row: 4483, expected_value: Self-employed, label: employment type} + - {column: J, row: 4483, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4485 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4485, expected_value: E12000002, label: geography} + - {column: D, row: 4485, expected_value: Females, label: sex} + - {column: E, row: 4485, expected_value: Self-employed, label: employment type} + - {column: J, row: 4485, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4489 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4489, expected_value: E12000002, label: geography} + - {column: D, row: 4489, expected_value: Females, label: sex} + - {column: E, row: 4489, expected_value: Self-employed, label: employment type} + - {column: J, row: 4489, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4493 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4493, expected_value: E12000002, label: geography} + - {column: D, row: 4493, expected_value: Females, label: sex} + - {column: E, row: 4493, expected_value: Self-employed, label: employment type} + - {column: J, row: 4493, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4495 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4495, expected_value: E12000002, label: geography} + - {column: D, row: 4495, expected_value: Females, label: sex} + - {column: E, row: 4495, expected_value: Self-employed, label: employment type} + - {column: J, row: 4495, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4497 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4497, expected_value: E12000002, label: geography} + - {column: D, row: 4497, expected_value: Females, label: sex} + - {column: E, row: 4497, expected_value: Self-employed, label: employment type} + - {column: J, row: 4497, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4499 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4499, expected_value: E12000002, label: geography} + - {column: D, row: 4499, expected_value: Females, label: sex} + - {column: E, row: 4499, expected_value: Self-employed, label: employment type} + - {column: J, row: 4499, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4503 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4503, expected_value: E12000002, label: geography} + - {column: D, row: 4503, expected_value: Females, label: sex} + - {column: E, row: 4503, expected_value: Self-employed, label: employment type} + - {column: J, row: 4503, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4511 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4511, expected_value: E12000002, label: geography} + - {column: D, row: 4511, expected_value: Females, label: sex} + - {column: E, row: 4511, expected_value: Self-employed, label: employment type} + - {column: J, row: 4511, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4513 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4513, expected_value: E12000002, label: geography} + - {column: D, row: 4513, expected_value: Females, label: sex} + - {column: E, row: 4513, expected_value: Self-employed, label: employment type} + - {column: J, row: 4513, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4515 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4515, expected_value: E12000002, label: geography} + - {column: D, row: 4515, expected_value: Females, label: sex} + - {column: E, row: 4515, expected_value: Self-employed, label: employment type} + - {column: J, row: 4515, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4517 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4517, expected_value: E12000002, label: geography} + - {column: D, row: 4517, expected_value: Females, label: sex} + - {column: E, row: 4517, expected_value: Self-employed, label: employment type} + - {column: J, row: 4517, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4521 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4521, expected_value: E12000002, label: geography} + - {column: D, row: 4521, expected_value: Females, label: sex} + - {column: E, row: 4521, expected_value: Self-employed, label: employment type} + - {column: J, row: 4521, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4523 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4523, expected_value: E12000002, label: geography} + - {column: D, row: 4523, expected_value: Females, label: sex} + - {column: E, row: 4523, expected_value: Self-employed, label: employment type} + - {column: J, row: 4523, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4527 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4527, expected_value: E12000002, label: geography} + - {column: D, row: 4527, expected_value: Females, label: sex} + - {column: E, row: 4527, expected_value: Self-employed, label: employment type} + - {column: J, row: 4527, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4533 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4533, expected_value: E12000002, label: geography} + - {column: D, row: 4533, expected_value: Females, label: sex} + - {column: E, row: 4533, expected_value: Self-employed, label: employment type} + - {column: J, row: 4533, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4537 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4537, expected_value: E12000002, label: geography} + - {column: D, row: 4537, expected_value: Females, label: sex} + - {column: E, row: 4537, expected_value: Self-employed, label: employment type} + - {column: J, row: 4537, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4538 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4538, expected_value: E12000003, label: geography} + - {column: D, row: 4538, expected_value: All persons, label: sex} + - {column: E, row: 4538, expected_value: Total, label: employment type} + - {column: J, row: 4538, expected_value: Value, label: measure} + - {column: L, row: 4539, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4540 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4540, expected_value: E12000003, label: geography} + - {column: D, row: 4540, expected_value: All persons, label: sex} + - {column: E, row: 4540, expected_value: Total, label: employment type} + - {column: J, row: 4540, expected_value: Value, label: measure} + - {column: L, row: 4541, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4542 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4542, expected_value: E12000003, label: geography} + - {column: D, row: 4542, expected_value: All persons, label: sex} + - {column: E, row: 4542, expected_value: Total, label: employment type} + - {column: J, row: 4542, expected_value: Value, label: measure} + - {column: L, row: 4543, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4544 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4544, expected_value: E12000003, label: geography} + - {column: D, row: 4544, expected_value: All persons, label: sex} + - {column: E, row: 4544, expected_value: Total, label: employment type} + - {column: J, row: 4544, expected_value: Value, label: measure} + - {column: L, row: 4545, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4546 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4546, expected_value: E12000003, label: geography} + - {column: D, row: 4546, expected_value: All persons, label: sex} + - {column: E, row: 4546, expected_value: Total, label: employment type} + - {column: J, row: 4546, expected_value: Value, label: measure} + - {column: L, row: 4547, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4548 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4548, expected_value: E12000003, label: geography} + - {column: D, row: 4548, expected_value: All persons, label: sex} + - {column: E, row: 4548, expected_value: Total, label: employment type} + - {column: J, row: 4548, expected_value: Value, label: measure} + - {column: L, row: 4549, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4550 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4550, expected_value: E12000003, label: geography} + - {column: D, row: 4550, expected_value: All persons, label: sex} + - {column: E, row: 4550, expected_value: Total, label: employment type} + - {column: J, row: 4550, expected_value: Value, label: measure} + - {column: L, row: 4551, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4552 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4552, expected_value: E12000003, label: geography} + - {column: D, row: 4552, expected_value: All persons, label: sex} + - {column: E, row: 4552, expected_value: Total, label: employment type} + - {column: J, row: 4552, expected_value: Value, label: measure} + - {column: L, row: 4553, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4554 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4554, expected_value: E12000003, label: geography} + - {column: D, row: 4554, expected_value: All persons, label: sex} + - {column: E, row: 4554, expected_value: Total, label: employment type} + - {column: J, row: 4554, expected_value: Value, label: measure} + - {column: L, row: 4555, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4556 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4556, expected_value: E12000003, label: geography} + - {column: D, row: 4556, expected_value: All persons, label: sex} + - {column: E, row: 4556, expected_value: Total, label: employment type} + - {column: J, row: 4556, expected_value: Value, label: measure} + - {column: L, row: 4557, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4558 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4558, expected_value: E12000003, label: geography} + - {column: D, row: 4558, expected_value: All persons, label: sex} + - {column: E, row: 4558, expected_value: Total, label: employment type} + - {column: J, row: 4558, expected_value: Value, label: measure} + - {column: L, row: 4559, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4560 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4560, expected_value: E12000003, label: geography} + - {column: D, row: 4560, expected_value: All persons, label: sex} + - {column: E, row: 4560, expected_value: Total, label: employment type} + - {column: J, row: 4560, expected_value: Value, label: measure} + - {column: L, row: 4561, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4562 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4562, expected_value: E12000003, label: geography} + - {column: D, row: 4562, expected_value: All persons, label: sex} + - {column: E, row: 4562, expected_value: Total, label: employment type} + - {column: J, row: 4562, expected_value: Value, label: measure} + - {column: L, row: 4563, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4564 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4564, expected_value: E12000003, label: geography} + - {column: D, row: 4564, expected_value: All persons, label: sex} + - {column: E, row: 4564, expected_value: Total, label: employment type} + - {column: J, row: 4564, expected_value: Value, label: measure} + - {column: L, row: 4565, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4566 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4566, expected_value: E12000003, label: geography} + - {column: D, row: 4566, expected_value: All persons, label: sex} + - {column: E, row: 4566, expected_value: Total, label: employment type} + - {column: J, row: 4566, expected_value: Value, label: measure} + - {column: L, row: 4567, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4568 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4568, expected_value: E12000003, label: geography} + - {column: D, row: 4568, expected_value: All persons, label: sex} + - {column: E, row: 4568, expected_value: Total, label: employment type} + - {column: J, row: 4568, expected_value: Value, label: measure} + - {column: L, row: 4569, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4570 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4570, expected_value: E12000003, label: geography} + - {column: D, row: 4570, expected_value: All persons, label: sex} + - {column: E, row: 4570, expected_value: Total, label: employment type} + - {column: J, row: 4570, expected_value: Value, label: measure} + - {column: L, row: 4571, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4572 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4572, expected_value: E12000003, label: geography} + - {column: D, row: 4572, expected_value: All persons, label: sex} + - {column: E, row: 4572, expected_value: Total, label: employment type} + - {column: J, row: 4572, expected_value: Value, label: measure} + - {column: L, row: 4573, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4574 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4574, expected_value: E12000003, label: geography} + - {column: D, row: 4574, expected_value: All persons, label: sex} + - {column: E, row: 4574, expected_value: Total, label: employment type} + - {column: J, row: 4574, expected_value: Value, label: measure} + - {column: L, row: 4575, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4576 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4576, expected_value: E12000003, label: geography} + - {column: D, row: 4576, expected_value: All persons, label: sex} + - {column: E, row: 4576, expected_value: Total, label: employment type} + - {column: J, row: 4576, expected_value: Value, label: measure} + - {column: L, row: 4577, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4578 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4578, expected_value: E12000003, label: geography} + - {column: D, row: 4578, expected_value: All persons, label: sex} + - {column: E, row: 4578, expected_value: Total, label: employment type} + - {column: J, row: 4578, expected_value: Value, label: measure} + - {column: L, row: 4579, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4580 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4580, expected_value: E12000003, label: geography} + - {column: D, row: 4580, expected_value: All persons, label: sex} + - {column: E, row: 4580, expected_value: Total, label: employment type} + - {column: J, row: 4580, expected_value: Value, label: measure} + - {column: L, row: 4581, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4582 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4582, expected_value: E12000003, label: geography} + - {column: D, row: 4582, expected_value: All persons, label: sex} + - {column: E, row: 4582, expected_value: Total, label: employment type} + - {column: J, row: 4582, expected_value: Value, label: measure} + - {column: L, row: 4583, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4584 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4584, expected_value: E12000003, label: geography} + - {column: D, row: 4584, expected_value: All persons, label: sex} + - {column: E, row: 4584, expected_value: Total, label: employment type} + - {column: J, row: 4584, expected_value: Value, label: measure} + - {column: L, row: 4585, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4586 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4586, expected_value: E12000003, label: geography} + - {column: D, row: 4586, expected_value: All persons, label: sex} + - {column: E, row: 4586, expected_value: Total, label: employment type} + - {column: J, row: 4586, expected_value: Value, label: measure} + - {column: L, row: 4587, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4588 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4588, expected_value: E12000003, label: geography} + - {column: D, row: 4588, expected_value: All persons, label: sex} + - {column: E, row: 4588, expected_value: Total, label: employment type} + - {column: J, row: 4588, expected_value: Value, label: measure} + - {column: L, row: 4589, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4590 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4590, expected_value: E12000003, label: geography} + - {column: D, row: 4590, expected_value: All persons, label: sex} + - {column: E, row: 4590, expected_value: Total, label: employment type} + - {column: J, row: 4590, expected_value: Value, label: measure} + - {column: L, row: 4591, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4592 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4592, expected_value: E12000003, label: geography} + - {column: D, row: 4592, expected_value: All persons, label: sex} + - {column: E, row: 4592, expected_value: Total, label: employment type} + - {column: J, row: 4592, expected_value: Value, label: measure} + - {column: L, row: 4593, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4594 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4594, expected_value: E12000003, label: geography} + - {column: D, row: 4594, expected_value: All persons, label: sex} + - {column: E, row: 4594, expected_value: Total, label: employment type} + - {column: J, row: 4594, expected_value: Value, label: measure} + - {column: L, row: 4595, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4596 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4596, expected_value: E12000003, label: geography} + - {column: D, row: 4596, expected_value: All persons, label: sex} + - {column: E, row: 4596, expected_value: Total, label: employment type} + - {column: J, row: 4596, expected_value: Value, label: measure} + - {column: L, row: 4597, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4598 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4598, expected_value: E12000003, label: geography} + - {column: D, row: 4598, expected_value: All persons, label: sex} + - {column: E, row: 4598, expected_value: Total, label: employment type} + - {column: J, row: 4598, expected_value: Value, label: measure} + - {column: L, row: 4599, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4600 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4600, expected_value: E12000003, label: geography} + - {column: D, row: 4600, expected_value: All persons, label: sex} + - {column: E, row: 4600, expected_value: Total, label: employment type} + - {column: J, row: 4600, expected_value: Value, label: measure} + - {column: L, row: 4601, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4602 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4602, expected_value: E12000003, label: geography} + - {column: D, row: 4602, expected_value: All persons, label: sex} + - {column: E, row: 4602, expected_value: Total, label: employment type} + - {column: J, row: 4602, expected_value: Value, label: measure} + - {column: L, row: 4603, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4604 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4604, expected_value: E12000003, label: geography} + - {column: D, row: 4604, expected_value: All persons, label: sex} + - {column: E, row: 4604, expected_value: Total, label: employment type} + - {column: J, row: 4604, expected_value: Value, label: measure} + - {column: L, row: 4605, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4606 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4606, expected_value: E12000003, label: geography} + - {column: D, row: 4606, expected_value: All persons, label: sex} + - {column: E, row: 4606, expected_value: Total, label: employment type} + - {column: J, row: 4606, expected_value: Value, label: measure} + - {column: L, row: 4607, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4608 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4608, expected_value: E12000003, label: geography} + - {column: D, row: 4608, expected_value: All persons, label: sex} + - {column: E, row: 4608, expected_value: Total, label: employment type} + - {column: J, row: 4608, expected_value: Value, label: measure} + - {column: L, row: 4609, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4539 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4539, expected_value: E12000003, label: geography} + - {column: D, row: 4539, expected_value: All persons, label: sex} + - {column: E, row: 4539, expected_value: Total, label: employment type} + - {column: J, row: 4539, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4541 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4541, expected_value: E12000003, label: geography} + - {column: D, row: 4541, expected_value: All persons, label: sex} + - {column: E, row: 4541, expected_value: Total, label: employment type} + - {column: J, row: 4541, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4543 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4543, expected_value: E12000003, label: geography} + - {column: D, row: 4543, expected_value: All persons, label: sex} + - {column: E, row: 4543, expected_value: Total, label: employment type} + - {column: J, row: 4543, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4545 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4545, expected_value: E12000003, label: geography} + - {column: D, row: 4545, expected_value: All persons, label: sex} + - {column: E, row: 4545, expected_value: Total, label: employment type} + - {column: J, row: 4545, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4547 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4547, expected_value: E12000003, label: geography} + - {column: D, row: 4547, expected_value: All persons, label: sex} + - {column: E, row: 4547, expected_value: Total, label: employment type} + - {column: J, row: 4547, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4549 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4549, expected_value: E12000003, label: geography} + - {column: D, row: 4549, expected_value: All persons, label: sex} + - {column: E, row: 4549, expected_value: Total, label: employment type} + - {column: J, row: 4549, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4551 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4551, expected_value: E12000003, label: geography} + - {column: D, row: 4551, expected_value: All persons, label: sex} + - {column: E, row: 4551, expected_value: Total, label: employment type} + - {column: J, row: 4551, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4553 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4553, expected_value: E12000003, label: geography} + - {column: D, row: 4553, expected_value: All persons, label: sex} + - {column: E, row: 4553, expected_value: Total, label: employment type} + - {column: J, row: 4553, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4555 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4555, expected_value: E12000003, label: geography} + - {column: D, row: 4555, expected_value: All persons, label: sex} + - {column: E, row: 4555, expected_value: Total, label: employment type} + - {column: J, row: 4555, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4557 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4557, expected_value: E12000003, label: geography} + - {column: D, row: 4557, expected_value: All persons, label: sex} + - {column: E, row: 4557, expected_value: Total, label: employment type} + - {column: J, row: 4557, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4559 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4559, expected_value: E12000003, label: geography} + - {column: D, row: 4559, expected_value: All persons, label: sex} + - {column: E, row: 4559, expected_value: Total, label: employment type} + - {column: J, row: 4559, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4561 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4561, expected_value: E12000003, label: geography} + - {column: D, row: 4561, expected_value: All persons, label: sex} + - {column: E, row: 4561, expected_value: Total, label: employment type} + - {column: J, row: 4561, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4563 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4563, expected_value: E12000003, label: geography} + - {column: D, row: 4563, expected_value: All persons, label: sex} + - {column: E, row: 4563, expected_value: Total, label: employment type} + - {column: J, row: 4563, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4565 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4565, expected_value: E12000003, label: geography} + - {column: D, row: 4565, expected_value: All persons, label: sex} + - {column: E, row: 4565, expected_value: Total, label: employment type} + - {column: J, row: 4565, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4567 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4567, expected_value: E12000003, label: geography} + - {column: D, row: 4567, expected_value: All persons, label: sex} + - {column: E, row: 4567, expected_value: Total, label: employment type} + - {column: J, row: 4567, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4569 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4569, expected_value: E12000003, label: geography} + - {column: D, row: 4569, expected_value: All persons, label: sex} + - {column: E, row: 4569, expected_value: Total, label: employment type} + - {column: J, row: 4569, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4571 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4571, expected_value: E12000003, label: geography} + - {column: D, row: 4571, expected_value: All persons, label: sex} + - {column: E, row: 4571, expected_value: Total, label: employment type} + - {column: J, row: 4571, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4573 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4573, expected_value: E12000003, label: geography} + - {column: D, row: 4573, expected_value: All persons, label: sex} + - {column: E, row: 4573, expected_value: Total, label: employment type} + - {column: J, row: 4573, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4575 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4575, expected_value: E12000003, label: geography} + - {column: D, row: 4575, expected_value: All persons, label: sex} + - {column: E, row: 4575, expected_value: Total, label: employment type} + - {column: J, row: 4575, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4577 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4577, expected_value: E12000003, label: geography} + - {column: D, row: 4577, expected_value: All persons, label: sex} + - {column: E, row: 4577, expected_value: Total, label: employment type} + - {column: J, row: 4577, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4579 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4579, expected_value: E12000003, label: geography} + - {column: D, row: 4579, expected_value: All persons, label: sex} + - {column: E, row: 4579, expected_value: Total, label: employment type} + - {column: J, row: 4579, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4581 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4581, expected_value: E12000003, label: geography} + - {column: D, row: 4581, expected_value: All persons, label: sex} + - {column: E, row: 4581, expected_value: Total, label: employment type} + - {column: J, row: 4581, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4583 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4583, expected_value: E12000003, label: geography} + - {column: D, row: 4583, expected_value: All persons, label: sex} + - {column: E, row: 4583, expected_value: Total, label: employment type} + - {column: J, row: 4583, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4585 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4585, expected_value: E12000003, label: geography} + - {column: D, row: 4585, expected_value: All persons, label: sex} + - {column: E, row: 4585, expected_value: Total, label: employment type} + - {column: J, row: 4585, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4587 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4587, expected_value: E12000003, label: geography} + - {column: D, row: 4587, expected_value: All persons, label: sex} + - {column: E, row: 4587, expected_value: Total, label: employment type} + - {column: J, row: 4587, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4589 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4589, expected_value: E12000003, label: geography} + - {column: D, row: 4589, expected_value: All persons, label: sex} + - {column: E, row: 4589, expected_value: Total, label: employment type} + - {column: J, row: 4589, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4593 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4593, expected_value: E12000003, label: geography} + - {column: D, row: 4593, expected_value: All persons, label: sex} + - {column: E, row: 4593, expected_value: Total, label: employment type} + - {column: J, row: 4593, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4595 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4595, expected_value: E12000003, label: geography} + - {column: D, row: 4595, expected_value: All persons, label: sex} + - {column: E, row: 4595, expected_value: Total, label: employment type} + - {column: J, row: 4595, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4597 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4597, expected_value: E12000003, label: geography} + - {column: D, row: 4597, expected_value: All persons, label: sex} + - {column: E, row: 4597, expected_value: Total, label: employment type} + - {column: J, row: 4597, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4599 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4599, expected_value: E12000003, label: geography} + - {column: D, row: 4599, expected_value: All persons, label: sex} + - {column: E, row: 4599, expected_value: Total, label: employment type} + - {column: J, row: 4599, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4601 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4601, expected_value: E12000003, label: geography} + - {column: D, row: 4601, expected_value: All persons, label: sex} + - {column: E, row: 4601, expected_value: Total, label: employment type} + - {column: J, row: 4601, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4603 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4603, expected_value: E12000003, label: geography} + - {column: D, row: 4603, expected_value: All persons, label: sex} + - {column: E, row: 4603, expected_value: Total, label: employment type} + - {column: J, row: 4603, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4605 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4605, expected_value: E12000003, label: geography} + - {column: D, row: 4605, expected_value: All persons, label: sex} + - {column: E, row: 4605, expected_value: Total, label: employment type} + - {column: J, row: 4605, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4607 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4607, expected_value: E12000003, label: geography} + - {column: D, row: 4607, expected_value: All persons, label: sex} + - {column: E, row: 4607, expected_value: Total, label: employment type} + - {column: J, row: 4607, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4609 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4609, expected_value: E12000003, label: geography} + - {column: D, row: 4609, expected_value: All persons, label: sex} + - {column: E, row: 4609, expected_value: Total, label: employment type} + - {column: J, row: 4609, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4754 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4754, expected_value: E12000003, label: geography} + - {column: D, row: 4754, expected_value: All persons, label: sex} + - {column: E, row: 4754, expected_value: Employee, label: employment type} + - {column: J, row: 4754, expected_value: Value, label: measure} + - {column: L, row: 4755, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4756 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4756, expected_value: E12000003, label: geography} + - {column: D, row: 4756, expected_value: All persons, label: sex} + - {column: E, row: 4756, expected_value: Employee, label: employment type} + - {column: J, row: 4756, expected_value: Value, label: measure} + - {column: L, row: 4757, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4758 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4758, expected_value: E12000003, label: geography} + - {column: D, row: 4758, expected_value: All persons, label: sex} + - {column: E, row: 4758, expected_value: Employee, label: employment type} + - {column: J, row: 4758, expected_value: Value, label: measure} + - {column: L, row: 4759, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4760 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4760, expected_value: E12000003, label: geography} + - {column: D, row: 4760, expected_value: All persons, label: sex} + - {column: E, row: 4760, expected_value: Employee, label: employment type} + - {column: J, row: 4760, expected_value: Value, label: measure} + - {column: L, row: 4761, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4762 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4762, expected_value: E12000003, label: geography} + - {column: D, row: 4762, expected_value: All persons, label: sex} + - {column: E, row: 4762, expected_value: Employee, label: employment type} + - {column: J, row: 4762, expected_value: Value, label: measure} + - {column: L, row: 4763, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4764 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4764, expected_value: E12000003, label: geography} + - {column: D, row: 4764, expected_value: All persons, label: sex} + - {column: E, row: 4764, expected_value: Employee, label: employment type} + - {column: J, row: 4764, expected_value: Value, label: measure} + - {column: L, row: 4765, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4766 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4766, expected_value: E12000003, label: geography} + - {column: D, row: 4766, expected_value: All persons, label: sex} + - {column: E, row: 4766, expected_value: Employee, label: employment type} + - {column: J, row: 4766, expected_value: Value, label: measure} + - {column: L, row: 4767, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4768 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4768, expected_value: E12000003, label: geography} + - {column: D, row: 4768, expected_value: All persons, label: sex} + - {column: E, row: 4768, expected_value: Employee, label: employment type} + - {column: J, row: 4768, expected_value: Value, label: measure} + - {column: L, row: 4769, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4770 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4770, expected_value: E12000003, label: geography} + - {column: D, row: 4770, expected_value: All persons, label: sex} + - {column: E, row: 4770, expected_value: Employee, label: employment type} + - {column: J, row: 4770, expected_value: Value, label: measure} + - {column: L, row: 4771, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4772 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4772, expected_value: E12000003, label: geography} + - {column: D, row: 4772, expected_value: All persons, label: sex} + - {column: E, row: 4772, expected_value: Employee, label: employment type} + - {column: J, row: 4772, expected_value: Value, label: measure} + - {column: L, row: 4773, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4774 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4774, expected_value: E12000003, label: geography} + - {column: D, row: 4774, expected_value: All persons, label: sex} + - {column: E, row: 4774, expected_value: Employee, label: employment type} + - {column: J, row: 4774, expected_value: Value, label: measure} + - {column: L, row: 4775, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4776 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4776, expected_value: E12000003, label: geography} + - {column: D, row: 4776, expected_value: All persons, label: sex} + - {column: E, row: 4776, expected_value: Employee, label: employment type} + - {column: J, row: 4776, expected_value: Value, label: measure} + - {column: L, row: 4777, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4778 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4778, expected_value: E12000003, label: geography} + - {column: D, row: 4778, expected_value: All persons, label: sex} + - {column: E, row: 4778, expected_value: Employee, label: employment type} + - {column: J, row: 4778, expected_value: Value, label: measure} + - {column: L, row: 4779, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4780 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4780, expected_value: E12000003, label: geography} + - {column: D, row: 4780, expected_value: All persons, label: sex} + - {column: E, row: 4780, expected_value: Employee, label: employment type} + - {column: J, row: 4780, expected_value: Value, label: measure} + - {column: L, row: 4781, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4782 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4782, expected_value: E12000003, label: geography} + - {column: D, row: 4782, expected_value: All persons, label: sex} + - {column: E, row: 4782, expected_value: Employee, label: employment type} + - {column: J, row: 4782, expected_value: Value, label: measure} + - {column: L, row: 4783, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4784 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4784, expected_value: E12000003, label: geography} + - {column: D, row: 4784, expected_value: All persons, label: sex} + - {column: E, row: 4784, expected_value: Employee, label: employment type} + - {column: J, row: 4784, expected_value: Value, label: measure} + - {column: L, row: 4785, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4786 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4786, expected_value: E12000003, label: geography} + - {column: D, row: 4786, expected_value: All persons, label: sex} + - {column: E, row: 4786, expected_value: Employee, label: employment type} + - {column: J, row: 4786, expected_value: Value, label: measure} + - {column: L, row: 4787, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4788 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4788, expected_value: E12000003, label: geography} + - {column: D, row: 4788, expected_value: All persons, label: sex} + - {column: E, row: 4788, expected_value: Employee, label: employment type} + - {column: J, row: 4788, expected_value: Value, label: measure} + - {column: L, row: 4789, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4790 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4790, expected_value: E12000003, label: geography} + - {column: D, row: 4790, expected_value: All persons, label: sex} + - {column: E, row: 4790, expected_value: Employee, label: employment type} + - {column: J, row: 4790, expected_value: Value, label: measure} + - {column: L, row: 4791, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4792 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4792, expected_value: E12000003, label: geography} + - {column: D, row: 4792, expected_value: All persons, label: sex} + - {column: E, row: 4792, expected_value: Employee, label: employment type} + - {column: J, row: 4792, expected_value: Value, label: measure} + - {column: L, row: 4793, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4794 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4794, expected_value: E12000003, label: geography} + - {column: D, row: 4794, expected_value: All persons, label: sex} + - {column: E, row: 4794, expected_value: Employee, label: employment type} + - {column: J, row: 4794, expected_value: Value, label: measure} + - {column: L, row: 4795, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4796 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4796, expected_value: E12000003, label: geography} + - {column: D, row: 4796, expected_value: All persons, label: sex} + - {column: E, row: 4796, expected_value: Employee, label: employment type} + - {column: J, row: 4796, expected_value: Value, label: measure} + - {column: L, row: 4797, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4798 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4798, expected_value: E12000003, label: geography} + - {column: D, row: 4798, expected_value: All persons, label: sex} + - {column: E, row: 4798, expected_value: Employee, label: employment type} + - {column: J, row: 4798, expected_value: Value, label: measure} + - {column: L, row: 4799, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4800 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4800, expected_value: E12000003, label: geography} + - {column: D, row: 4800, expected_value: All persons, label: sex} + - {column: E, row: 4800, expected_value: Employee, label: employment type} + - {column: J, row: 4800, expected_value: Value, label: measure} + - {column: L, row: 4801, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4802 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4802, expected_value: E12000003, label: geography} + - {column: D, row: 4802, expected_value: All persons, label: sex} + - {column: E, row: 4802, expected_value: Employee, label: employment type} + - {column: J, row: 4802, expected_value: Value, label: measure} + - {column: L, row: 4803, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4804 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4804, expected_value: E12000003, label: geography} + - {column: D, row: 4804, expected_value: All persons, label: sex} + - {column: E, row: 4804, expected_value: Employee, label: employment type} + - {column: J, row: 4804, expected_value: Value, label: measure} + - {column: L, row: 4805, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4806 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4806, expected_value: E12000003, label: geography} + - {column: D, row: 4806, expected_value: All persons, label: sex} + - {column: E, row: 4806, expected_value: Employee, label: employment type} + - {column: J, row: 4806, expected_value: Value, label: measure} + - {column: L, row: 4807, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4808 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4808, expected_value: E12000003, label: geography} + - {column: D, row: 4808, expected_value: All persons, label: sex} + - {column: E, row: 4808, expected_value: Employee, label: employment type} + - {column: J, row: 4808, expected_value: Value, label: measure} + - {column: L, row: 4809, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4810 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4810, expected_value: E12000003, label: geography} + - {column: D, row: 4810, expected_value: All persons, label: sex} + - {column: E, row: 4810, expected_value: Employee, label: employment type} + - {column: J, row: 4810, expected_value: Value, label: measure} + - {column: L, row: 4811, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4812 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4812, expected_value: E12000003, label: geography} + - {column: D, row: 4812, expected_value: All persons, label: sex} + - {column: E, row: 4812, expected_value: Employee, label: employment type} + - {column: J, row: 4812, expected_value: Value, label: measure} + - {column: L, row: 4813, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4814 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4814, expected_value: E12000003, label: geography} + - {column: D, row: 4814, expected_value: All persons, label: sex} + - {column: E, row: 4814, expected_value: Employee, label: employment type} + - {column: J, row: 4814, expected_value: Value, label: measure} + - {column: L, row: 4815, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4816 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4816, expected_value: E12000003, label: geography} + - {column: D, row: 4816, expected_value: All persons, label: sex} + - {column: E, row: 4816, expected_value: Employee, label: employment type} + - {column: J, row: 4816, expected_value: Value, label: measure} + - {column: L, row: 4817, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4818 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4818, expected_value: E12000003, label: geography} + - {column: D, row: 4818, expected_value: All persons, label: sex} + - {column: E, row: 4818, expected_value: Employee, label: employment type} + - {column: J, row: 4818, expected_value: Value, label: measure} + - {column: L, row: 4819, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4820 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4820, expected_value: E12000003, label: geography} + - {column: D, row: 4820, expected_value: All persons, label: sex} + - {column: E, row: 4820, expected_value: Employee, label: employment type} + - {column: J, row: 4820, expected_value: Value, label: measure} + - {column: L, row: 4821, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4822 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4822, expected_value: E12000003, label: geography} + - {column: D, row: 4822, expected_value: All persons, label: sex} + - {column: E, row: 4822, expected_value: Employee, label: employment type} + - {column: J, row: 4822, expected_value: Value, label: measure} + - {column: L, row: 4823, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4824 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4824, expected_value: E12000003, label: geography} + - {column: D, row: 4824, expected_value: All persons, label: sex} + - {column: E, row: 4824, expected_value: Employee, label: employment type} + - {column: J, row: 4824, expected_value: Value, label: measure} + - {column: L, row: 4825, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4755 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4755, expected_value: E12000003, label: geography} + - {column: D, row: 4755, expected_value: All persons, label: sex} + - {column: E, row: 4755, expected_value: Employee, label: employment type} + - {column: J, row: 4755, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4757 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4757, expected_value: E12000003, label: geography} + - {column: D, row: 4757, expected_value: All persons, label: sex} + - {column: E, row: 4757, expected_value: Employee, label: employment type} + - {column: J, row: 4757, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4759 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4759, expected_value: E12000003, label: geography} + - {column: D, row: 4759, expected_value: All persons, label: sex} + - {column: E, row: 4759, expected_value: Employee, label: employment type} + - {column: J, row: 4759, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4761 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4761, expected_value: E12000003, label: geography} + - {column: D, row: 4761, expected_value: All persons, label: sex} + - {column: E, row: 4761, expected_value: Employee, label: employment type} + - {column: J, row: 4761, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4763 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4763, expected_value: E12000003, label: geography} + - {column: D, row: 4763, expected_value: All persons, label: sex} + - {column: E, row: 4763, expected_value: Employee, label: employment type} + - {column: J, row: 4763, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4765 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4765, expected_value: E12000003, label: geography} + - {column: D, row: 4765, expected_value: All persons, label: sex} + - {column: E, row: 4765, expected_value: Employee, label: employment type} + - {column: J, row: 4765, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4767 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4767, expected_value: E12000003, label: geography} + - {column: D, row: 4767, expected_value: All persons, label: sex} + - {column: E, row: 4767, expected_value: Employee, label: employment type} + - {column: J, row: 4767, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4769 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4769, expected_value: E12000003, label: geography} + - {column: D, row: 4769, expected_value: All persons, label: sex} + - {column: E, row: 4769, expected_value: Employee, label: employment type} + - {column: J, row: 4769, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4771 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4771, expected_value: E12000003, label: geography} + - {column: D, row: 4771, expected_value: All persons, label: sex} + - {column: E, row: 4771, expected_value: Employee, label: employment type} + - {column: J, row: 4771, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4773 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4773, expected_value: E12000003, label: geography} + - {column: D, row: 4773, expected_value: All persons, label: sex} + - {column: E, row: 4773, expected_value: Employee, label: employment type} + - {column: J, row: 4773, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4775 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4775, expected_value: E12000003, label: geography} + - {column: D, row: 4775, expected_value: All persons, label: sex} + - {column: E, row: 4775, expected_value: Employee, label: employment type} + - {column: J, row: 4775, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4777 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4777, expected_value: E12000003, label: geography} + - {column: D, row: 4777, expected_value: All persons, label: sex} + - {column: E, row: 4777, expected_value: Employee, label: employment type} + - {column: J, row: 4777, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4779 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4779, expected_value: E12000003, label: geography} + - {column: D, row: 4779, expected_value: All persons, label: sex} + - {column: E, row: 4779, expected_value: Employee, label: employment type} + - {column: J, row: 4779, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4781 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4781, expected_value: E12000003, label: geography} + - {column: D, row: 4781, expected_value: All persons, label: sex} + - {column: E, row: 4781, expected_value: Employee, label: employment type} + - {column: J, row: 4781, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4783 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4783, expected_value: E12000003, label: geography} + - {column: D, row: 4783, expected_value: All persons, label: sex} + - {column: E, row: 4783, expected_value: Employee, label: employment type} + - {column: J, row: 4783, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4785 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4785, expected_value: E12000003, label: geography} + - {column: D, row: 4785, expected_value: All persons, label: sex} + - {column: E, row: 4785, expected_value: Employee, label: employment type} + - {column: J, row: 4785, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4787 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4787, expected_value: E12000003, label: geography} + - {column: D, row: 4787, expected_value: All persons, label: sex} + - {column: E, row: 4787, expected_value: Employee, label: employment type} + - {column: J, row: 4787, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4789 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4789, expected_value: E12000003, label: geography} + - {column: D, row: 4789, expected_value: All persons, label: sex} + - {column: E, row: 4789, expected_value: Employee, label: employment type} + - {column: J, row: 4789, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4791 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4791, expected_value: E12000003, label: geography} + - {column: D, row: 4791, expected_value: All persons, label: sex} + - {column: E, row: 4791, expected_value: Employee, label: employment type} + - {column: J, row: 4791, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4793 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4793, expected_value: E12000003, label: geography} + - {column: D, row: 4793, expected_value: All persons, label: sex} + - {column: E, row: 4793, expected_value: Employee, label: employment type} + - {column: J, row: 4793, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4795 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4795, expected_value: E12000003, label: geography} + - {column: D, row: 4795, expected_value: All persons, label: sex} + - {column: E, row: 4795, expected_value: Employee, label: employment type} + - {column: J, row: 4795, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4797 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4797, expected_value: E12000003, label: geography} + - {column: D, row: 4797, expected_value: All persons, label: sex} + - {column: E, row: 4797, expected_value: Employee, label: employment type} + - {column: J, row: 4797, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4799 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4799, expected_value: E12000003, label: geography} + - {column: D, row: 4799, expected_value: All persons, label: sex} + - {column: E, row: 4799, expected_value: Employee, label: employment type} + - {column: J, row: 4799, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4801 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4801, expected_value: E12000003, label: geography} + - {column: D, row: 4801, expected_value: All persons, label: sex} + - {column: E, row: 4801, expected_value: Employee, label: employment type} + - {column: J, row: 4801, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4803 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4803, expected_value: E12000003, label: geography} + - {column: D, row: 4803, expected_value: All persons, label: sex} + - {column: E, row: 4803, expected_value: Employee, label: employment type} + - {column: J, row: 4803, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4805 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4805, expected_value: E12000003, label: geography} + - {column: D, row: 4805, expected_value: All persons, label: sex} + - {column: E, row: 4805, expected_value: Employee, label: employment type} + - {column: J, row: 4805, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4809 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4809, expected_value: E12000003, label: geography} + - {column: D, row: 4809, expected_value: All persons, label: sex} + - {column: E, row: 4809, expected_value: Employee, label: employment type} + - {column: J, row: 4809, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4811 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4811, expected_value: E12000003, label: geography} + - {column: D, row: 4811, expected_value: All persons, label: sex} + - {column: E, row: 4811, expected_value: Employee, label: employment type} + - {column: J, row: 4811, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4813 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4813, expected_value: E12000003, label: geography} + - {column: D, row: 4813, expected_value: All persons, label: sex} + - {column: E, row: 4813, expected_value: Employee, label: employment type} + - {column: J, row: 4813, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4815 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4815, expected_value: E12000003, label: geography} + - {column: D, row: 4815, expected_value: All persons, label: sex} + - {column: E, row: 4815, expected_value: Employee, label: employment type} + - {column: J, row: 4815, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4817 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4817, expected_value: E12000003, label: geography} + - {column: D, row: 4817, expected_value: All persons, label: sex} + - {column: E, row: 4817, expected_value: Employee, label: employment type} + - {column: J, row: 4817, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4819 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4819, expected_value: E12000003, label: geography} + - {column: D, row: 4819, expected_value: All persons, label: sex} + - {column: E, row: 4819, expected_value: Employee, label: employment type} + - {column: J, row: 4819, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4821 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4821, expected_value: E12000003, label: geography} + - {column: D, row: 4821, expected_value: All persons, label: sex} + - {column: E, row: 4821, expected_value: Employee, label: employment type} + - {column: J, row: 4821, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4823 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4823, expected_value: E12000003, label: geography} + - {column: D, row: 4823, expected_value: All persons, label: sex} + - {column: E, row: 4823, expected_value: Employee, label: employment type} + - {column: J, row: 4823, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4825 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4825, expected_value: E12000003, label: geography} + - {column: D, row: 4825, expected_value: All persons, label: sex} + - {column: E, row: 4825, expected_value: Employee, label: employment type} + - {column: J, row: 4825, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4970 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4970, expected_value: E12000003, label: geography} + - {column: D, row: 4970, expected_value: All persons, label: sex} + - {column: E, row: 4970, expected_value: Self-employed, label: employment type} + - {column: J, row: 4970, expected_value: Value, label: measure} + - {column: L, row: 4971, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4972 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4972, expected_value: E12000003, label: geography} + - {column: D, row: 4972, expected_value: All persons, label: sex} + - {column: E, row: 4972, expected_value: Self-employed, label: employment type} + - {column: J, row: 4972, expected_value: Value, label: measure} + - {column: L, row: 4973, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4974 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4974, expected_value: E12000003, label: geography} + - {column: D, row: 4974, expected_value: All persons, label: sex} + - {column: E, row: 4974, expected_value: Self-employed, label: employment type} + - {column: J, row: 4974, expected_value: Value, label: measure} + - {column: L, row: 4975, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4976 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4976, expected_value: E12000003, label: geography} + - {column: D, row: 4976, expected_value: All persons, label: sex} + - {column: E, row: 4976, expected_value: Self-employed, label: employment type} + - {column: J, row: 4976, expected_value: Value, label: measure} + - {column: L, row: 4977, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4978 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4978, expected_value: E12000003, label: geography} + - {column: D, row: 4978, expected_value: All persons, label: sex} + - {column: E, row: 4978, expected_value: Self-employed, label: employment type} + - {column: J, row: 4978, expected_value: Value, label: measure} + - {column: L, row: 4979, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4980 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4980, expected_value: E12000003, label: geography} + - {column: D, row: 4980, expected_value: All persons, label: sex} + - {column: E, row: 4980, expected_value: Self-employed, label: employment type} + - {column: J, row: 4980, expected_value: Value, label: measure} + - {column: L, row: 4981, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4982 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4982, expected_value: E12000003, label: geography} + - {column: D, row: 4982, expected_value: All persons, label: sex} + - {column: E, row: 4982, expected_value: Self-employed, label: employment type} + - {column: J, row: 4982, expected_value: Value, label: measure} + - {column: L, row: 4983, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4984 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4984, expected_value: E12000003, label: geography} + - {column: D, row: 4984, expected_value: All persons, label: sex} + - {column: E, row: 4984, expected_value: Self-employed, label: employment type} + - {column: J, row: 4984, expected_value: Value, label: measure} + - {column: L, row: 4985, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4986 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4986, expected_value: E12000003, label: geography} + - {column: D, row: 4986, expected_value: All persons, label: sex} + - {column: E, row: 4986, expected_value: Self-employed, label: employment type} + - {column: J, row: 4986, expected_value: Value, label: measure} + - {column: L, row: 4987, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4988 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4988, expected_value: E12000003, label: geography} + - {column: D, row: 4988, expected_value: All persons, label: sex} + - {column: E, row: 4988, expected_value: Self-employed, label: employment type} + - {column: J, row: 4988, expected_value: Value, label: measure} + - {column: L, row: 4989, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4990 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4990, expected_value: E12000003, label: geography} + - {column: D, row: 4990, expected_value: All persons, label: sex} + - {column: E, row: 4990, expected_value: Self-employed, label: employment type} + - {column: J, row: 4990, expected_value: Value, label: measure} + - {column: L, row: 4991, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4992 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4992, expected_value: E12000003, label: geography} + - {column: D, row: 4992, expected_value: All persons, label: sex} + - {column: E, row: 4992, expected_value: Self-employed, label: employment type} + - {column: J, row: 4992, expected_value: Value, label: measure} + - {column: L, row: 4993, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4996 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4996, expected_value: E12000003, label: geography} + - {column: D, row: 4996, expected_value: All persons, label: sex} + - {column: E, row: 4996, expected_value: Self-employed, label: employment type} + - {column: J, row: 4996, expected_value: Value, label: measure} + - {column: L, row: 4997, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4998 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4998, expected_value: E12000003, label: geography} + - {column: D, row: 4998, expected_value: All persons, label: sex} + - {column: E, row: 4998, expected_value: Self-employed, label: employment type} + - {column: J, row: 4998, expected_value: Value, label: measure} + - {column: L, row: 4999, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5000 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5000, expected_value: E12000003, label: geography} + - {column: D, row: 5000, expected_value: All persons, label: sex} + - {column: E, row: 5000, expected_value: Self-employed, label: employment type} + - {column: J, row: 5000, expected_value: Value, label: measure} + - {column: L, row: 5001, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5002 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5002, expected_value: E12000003, label: geography} + - {column: D, row: 5002, expected_value: All persons, label: sex} + - {column: E, row: 5002, expected_value: Self-employed, label: employment type} + - {column: J, row: 5002, expected_value: Value, label: measure} + - {column: L, row: 5003, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5004 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5004, expected_value: E12000003, label: geography} + - {column: D, row: 5004, expected_value: All persons, label: sex} + - {column: E, row: 5004, expected_value: Self-employed, label: employment type} + - {column: J, row: 5004, expected_value: Value, label: measure} + - {column: L, row: 5005, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5006 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5006, expected_value: E12000003, label: geography} + - {column: D, row: 5006, expected_value: All persons, label: sex} + - {column: E, row: 5006, expected_value: Self-employed, label: employment type} + - {column: J, row: 5006, expected_value: Value, label: measure} + - {column: L, row: 5007, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5008 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5008, expected_value: E12000003, label: geography} + - {column: D, row: 5008, expected_value: All persons, label: sex} + - {column: E, row: 5008, expected_value: Self-employed, label: employment type} + - {column: J, row: 5008, expected_value: Value, label: measure} + - {column: L, row: 5009, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5010 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5010, expected_value: E12000003, label: geography} + - {column: D, row: 5010, expected_value: All persons, label: sex} + - {column: E, row: 5010, expected_value: Self-employed, label: employment type} + - {column: J, row: 5010, expected_value: Value, label: measure} + - {column: L, row: 5011, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5012 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5012, expected_value: E12000003, label: geography} + - {column: D, row: 5012, expected_value: All persons, label: sex} + - {column: E, row: 5012, expected_value: Self-employed, label: employment type} + - {column: J, row: 5012, expected_value: Value, label: measure} + - {column: L, row: 5013, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5014 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5014, expected_value: E12000003, label: geography} + - {column: D, row: 5014, expected_value: All persons, label: sex} + - {column: E, row: 5014, expected_value: Self-employed, label: employment type} + - {column: J, row: 5014, expected_value: Value, label: measure} + - {column: L, row: 5015, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5016 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5016, expected_value: E12000003, label: geography} + - {column: D, row: 5016, expected_value: All persons, label: sex} + - {column: E, row: 5016, expected_value: Self-employed, label: employment type} + - {column: J, row: 5016, expected_value: Value, label: measure} + - {column: L, row: 5017, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5018 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5018, expected_value: E12000003, label: geography} + - {column: D, row: 5018, expected_value: All persons, label: sex} + - {column: E, row: 5018, expected_value: Self-employed, label: employment type} + - {column: J, row: 5018, expected_value: Value, label: measure} + - {column: L, row: 5019, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5020 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5020, expected_value: E12000003, label: geography} + - {column: D, row: 5020, expected_value: All persons, label: sex} + - {column: E, row: 5020, expected_value: Self-employed, label: employment type} + - {column: J, row: 5020, expected_value: Value, label: measure} + - {column: L, row: 5021, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5024 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5024, expected_value: E12000003, label: geography} + - {column: D, row: 5024, expected_value: All persons, label: sex} + - {column: E, row: 5024, expected_value: Self-employed, label: employment type} + - {column: J, row: 5024, expected_value: Value, label: measure} + - {column: L, row: 5025, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5026 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5026, expected_value: E12000003, label: geography} + - {column: D, row: 5026, expected_value: All persons, label: sex} + - {column: E, row: 5026, expected_value: Self-employed, label: employment type} + - {column: J, row: 5026, expected_value: Value, label: measure} + - {column: L, row: 5027, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5030 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5030, expected_value: E12000003, label: geography} + - {column: D, row: 5030, expected_value: All persons, label: sex} + - {column: E, row: 5030, expected_value: Self-employed, label: employment type} + - {column: J, row: 5030, expected_value: Value, label: measure} + - {column: L, row: 5031, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5032 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5032, expected_value: E12000003, label: geography} + - {column: D, row: 5032, expected_value: All persons, label: sex} + - {column: E, row: 5032, expected_value: Self-employed, label: employment type} + - {column: J, row: 5032, expected_value: Value, label: measure} + - {column: L, row: 5033, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5034 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5034, expected_value: E12000003, label: geography} + - {column: D, row: 5034, expected_value: All persons, label: sex} + - {column: E, row: 5034, expected_value: Self-employed, label: employment type} + - {column: J, row: 5034, expected_value: Value, label: measure} + - {column: L, row: 5035, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5036 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5036, expected_value: E12000003, label: geography} + - {column: D, row: 5036, expected_value: All persons, label: sex} + - {column: E, row: 5036, expected_value: Self-employed, label: employment type} + - {column: J, row: 5036, expected_value: Value, label: measure} + - {column: L, row: 5037, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5038 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5038, expected_value: E12000003, label: geography} + - {column: D, row: 5038, expected_value: All persons, label: sex} + - {column: E, row: 5038, expected_value: Self-employed, label: employment type} + - {column: J, row: 5038, expected_value: Value, label: measure} + - {column: L, row: 5039, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5040 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5040, expected_value: E12000003, label: geography} + - {column: D, row: 5040, expected_value: All persons, label: sex} + - {column: E, row: 5040, expected_value: Self-employed, label: employment type} + - {column: J, row: 5040, expected_value: Value, label: measure} + - {column: L, row: 5041, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4971 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4971, expected_value: E12000003, label: geography} + - {column: D, row: 4971, expected_value: All persons, label: sex} + - {column: E, row: 4971, expected_value: Self-employed, label: employment type} + - {column: J, row: 4971, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4973 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4973, expected_value: E12000003, label: geography} + - {column: D, row: 4973, expected_value: All persons, label: sex} + - {column: E, row: 4973, expected_value: Self-employed, label: employment type} + - {column: J, row: 4973, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4975 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4975, expected_value: E12000003, label: geography} + - {column: D, row: 4975, expected_value: All persons, label: sex} + - {column: E, row: 4975, expected_value: Self-employed, label: employment type} + - {column: J, row: 4975, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4977 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4977, expected_value: E12000003, label: geography} + - {column: D, row: 4977, expected_value: All persons, label: sex} + - {column: E, row: 4977, expected_value: Self-employed, label: employment type} + - {column: J, row: 4977, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4979 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4979, expected_value: E12000003, label: geography} + - {column: D, row: 4979, expected_value: All persons, label: sex} + - {column: E, row: 4979, expected_value: Self-employed, label: employment type} + - {column: J, row: 4979, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4981 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4981, expected_value: E12000003, label: geography} + - {column: D, row: 4981, expected_value: All persons, label: sex} + - {column: E, row: 4981, expected_value: Self-employed, label: employment type} + - {column: J, row: 4981, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4983 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4983, expected_value: E12000003, label: geography} + - {column: D, row: 4983, expected_value: All persons, label: sex} + - {column: E, row: 4983, expected_value: Self-employed, label: employment type} + - {column: J, row: 4983, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4985 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4985, expected_value: E12000003, label: geography} + - {column: D, row: 4985, expected_value: All persons, label: sex} + - {column: E, row: 4985, expected_value: Self-employed, label: employment type} + - {column: J, row: 4985, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4987 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4987, expected_value: E12000003, label: geography} + - {column: D, row: 4987, expected_value: All persons, label: sex} + - {column: E, row: 4987, expected_value: Self-employed, label: employment type} + - {column: J, row: 4987, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4989 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4989, expected_value: E12000003, label: geography} + - {column: D, row: 4989, expected_value: All persons, label: sex} + - {column: E, row: 4989, expected_value: Self-employed, label: employment type} + - {column: J, row: 4989, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4993 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4993, expected_value: E12000003, label: geography} + - {column: D, row: 4993, expected_value: All persons, label: sex} + - {column: E, row: 4993, expected_value: Self-employed, label: employment type} + - {column: J, row: 4993, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4997 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4997, expected_value: E12000003, label: geography} + - {column: D, row: 4997, expected_value: All persons, label: sex} + - {column: E, row: 4997, expected_value: Self-employed, label: employment type} + - {column: J, row: 4997, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4999 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4999, expected_value: E12000003, label: geography} + - {column: D, row: 4999, expected_value: All persons, label: sex} + - {column: E, row: 4999, expected_value: Self-employed, label: employment type} + - {column: J, row: 4999, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5001 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5001, expected_value: E12000003, label: geography} + - {column: D, row: 5001, expected_value: All persons, label: sex} + - {column: E, row: 5001, expected_value: Self-employed, label: employment type} + - {column: J, row: 5001, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5003 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5003, expected_value: E12000003, label: geography} + - {column: D, row: 5003, expected_value: All persons, label: sex} + - {column: E, row: 5003, expected_value: Self-employed, label: employment type} + - {column: J, row: 5003, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5007 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5007, expected_value: E12000003, label: geography} + - {column: D, row: 5007, expected_value: All persons, label: sex} + - {column: E, row: 5007, expected_value: Self-employed, label: employment type} + - {column: J, row: 5007, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5009 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5009, expected_value: E12000003, label: geography} + - {column: D, row: 5009, expected_value: All persons, label: sex} + - {column: E, row: 5009, expected_value: Self-employed, label: employment type} + - {column: J, row: 5009, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5011 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5011, expected_value: E12000003, label: geography} + - {column: D, row: 5011, expected_value: All persons, label: sex} + - {column: E, row: 5011, expected_value: Self-employed, label: employment type} + - {column: J, row: 5011, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5013 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5013, expected_value: E12000003, label: geography} + - {column: D, row: 5013, expected_value: All persons, label: sex} + - {column: E, row: 5013, expected_value: Self-employed, label: employment type} + - {column: J, row: 5013, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5015 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5015, expected_value: E12000003, label: geography} + - {column: D, row: 5015, expected_value: All persons, label: sex} + - {column: E, row: 5015, expected_value: Self-employed, label: employment type} + - {column: J, row: 5015, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5017 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5017, expected_value: E12000003, label: geography} + - {column: D, row: 5017, expected_value: All persons, label: sex} + - {column: E, row: 5017, expected_value: Self-employed, label: employment type} + - {column: J, row: 5017, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5019 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5019, expected_value: E12000003, label: geography} + - {column: D, row: 5019, expected_value: All persons, label: sex} + - {column: E, row: 5019, expected_value: Self-employed, label: employment type} + - {column: J, row: 5019, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5021 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5021, expected_value: E12000003, label: geography} + - {column: D, row: 5021, expected_value: All persons, label: sex} + - {column: E, row: 5021, expected_value: Self-employed, label: employment type} + - {column: J, row: 5021, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5025 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5025, expected_value: E12000003, label: geography} + - {column: D, row: 5025, expected_value: All persons, label: sex} + - {column: E, row: 5025, expected_value: Self-employed, label: employment type} + - {column: J, row: 5025, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5027 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5027, expected_value: E12000003, label: geography} + - {column: D, row: 5027, expected_value: All persons, label: sex} + - {column: E, row: 5027, expected_value: Self-employed, label: employment type} + - {column: J, row: 5027, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5031 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5031, expected_value: E12000003, label: geography} + - {column: D, row: 5031, expected_value: All persons, label: sex} + - {column: E, row: 5031, expected_value: Self-employed, label: employment type} + - {column: J, row: 5031, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5033 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5033, expected_value: E12000003, label: geography} + - {column: D, row: 5033, expected_value: All persons, label: sex} + - {column: E, row: 5033, expected_value: Self-employed, label: employment type} + - {column: J, row: 5033, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5035 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5035, expected_value: E12000003, label: geography} + - {column: D, row: 5035, expected_value: All persons, label: sex} + - {column: E, row: 5035, expected_value: Self-employed, label: employment type} + - {column: J, row: 5035, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5037 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5037, expected_value: E12000003, label: geography} + - {column: D, row: 5037, expected_value: All persons, label: sex} + - {column: E, row: 5037, expected_value: Self-employed, label: employment type} + - {column: J, row: 5037, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5039 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5039, expected_value: E12000003, label: geography} + - {column: D, row: 5039, expected_value: All persons, label: sex} + - {column: E, row: 5039, expected_value: Self-employed, label: employment type} + - {column: J, row: 5039, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5041 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5041, expected_value: E12000003, label: geography} + - {column: D, row: 5041, expected_value: All persons, label: sex} + - {column: E, row: 5041, expected_value: Self-employed, label: employment type} + - {column: J, row: 5041, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4610 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4610, expected_value: E12000003, label: geography} + - {column: D, row: 4610, expected_value: Males, label: sex} + - {column: E, row: 4610, expected_value: Total, label: employment type} + - {column: J, row: 4610, expected_value: Value, label: measure} + - {column: L, row: 4611, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4612 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4612, expected_value: E12000003, label: geography} + - {column: D, row: 4612, expected_value: Males, label: sex} + - {column: E, row: 4612, expected_value: Total, label: employment type} + - {column: J, row: 4612, expected_value: Value, label: measure} + - {column: L, row: 4613, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4614 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4614, expected_value: E12000003, label: geography} + - {column: D, row: 4614, expected_value: Males, label: sex} + - {column: E, row: 4614, expected_value: Total, label: employment type} + - {column: J, row: 4614, expected_value: Value, label: measure} + - {column: L, row: 4615, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4616 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4616, expected_value: E12000003, label: geography} + - {column: D, row: 4616, expected_value: Males, label: sex} + - {column: E, row: 4616, expected_value: Total, label: employment type} + - {column: J, row: 4616, expected_value: Value, label: measure} + - {column: L, row: 4617, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4618 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4618, expected_value: E12000003, label: geography} + - {column: D, row: 4618, expected_value: Males, label: sex} + - {column: E, row: 4618, expected_value: Total, label: employment type} + - {column: J, row: 4618, expected_value: Value, label: measure} + - {column: L, row: 4619, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4620 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4620, expected_value: E12000003, label: geography} + - {column: D, row: 4620, expected_value: Males, label: sex} + - {column: E, row: 4620, expected_value: Total, label: employment type} + - {column: J, row: 4620, expected_value: Value, label: measure} + - {column: L, row: 4621, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4622 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4622, expected_value: E12000003, label: geography} + - {column: D, row: 4622, expected_value: Males, label: sex} + - {column: E, row: 4622, expected_value: Total, label: employment type} + - {column: J, row: 4622, expected_value: Value, label: measure} + - {column: L, row: 4623, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4624 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4624, expected_value: E12000003, label: geography} + - {column: D, row: 4624, expected_value: Males, label: sex} + - {column: E, row: 4624, expected_value: Total, label: employment type} + - {column: J, row: 4624, expected_value: Value, label: measure} + - {column: L, row: 4625, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4626 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4626, expected_value: E12000003, label: geography} + - {column: D, row: 4626, expected_value: Males, label: sex} + - {column: E, row: 4626, expected_value: Total, label: employment type} + - {column: J, row: 4626, expected_value: Value, label: measure} + - {column: L, row: 4627, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4628 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4628, expected_value: E12000003, label: geography} + - {column: D, row: 4628, expected_value: Males, label: sex} + - {column: E, row: 4628, expected_value: Total, label: employment type} + - {column: J, row: 4628, expected_value: Value, label: measure} + - {column: L, row: 4629, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4630 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4630, expected_value: E12000003, label: geography} + - {column: D, row: 4630, expected_value: Males, label: sex} + - {column: E, row: 4630, expected_value: Total, label: employment type} + - {column: J, row: 4630, expected_value: Value, label: measure} + - {column: L, row: 4631, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4632 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4632, expected_value: E12000003, label: geography} + - {column: D, row: 4632, expected_value: Males, label: sex} + - {column: E, row: 4632, expected_value: Total, label: employment type} + - {column: J, row: 4632, expected_value: Value, label: measure} + - {column: L, row: 4633, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4634 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4634, expected_value: E12000003, label: geography} + - {column: D, row: 4634, expected_value: Males, label: sex} + - {column: E, row: 4634, expected_value: Total, label: employment type} + - {column: J, row: 4634, expected_value: Value, label: measure} + - {column: L, row: 4635, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4636 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4636, expected_value: E12000003, label: geography} + - {column: D, row: 4636, expected_value: Males, label: sex} + - {column: E, row: 4636, expected_value: Total, label: employment type} + - {column: J, row: 4636, expected_value: Value, label: measure} + - {column: L, row: 4637, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4638 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4638, expected_value: E12000003, label: geography} + - {column: D, row: 4638, expected_value: Males, label: sex} + - {column: E, row: 4638, expected_value: Total, label: employment type} + - {column: J, row: 4638, expected_value: Value, label: measure} + - {column: L, row: 4639, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4640 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4640, expected_value: E12000003, label: geography} + - {column: D, row: 4640, expected_value: Males, label: sex} + - {column: E, row: 4640, expected_value: Total, label: employment type} + - {column: J, row: 4640, expected_value: Value, label: measure} + - {column: L, row: 4641, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4642 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4642, expected_value: E12000003, label: geography} + - {column: D, row: 4642, expected_value: Males, label: sex} + - {column: E, row: 4642, expected_value: Total, label: employment type} + - {column: J, row: 4642, expected_value: Value, label: measure} + - {column: L, row: 4643, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4644 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4644, expected_value: E12000003, label: geography} + - {column: D, row: 4644, expected_value: Males, label: sex} + - {column: E, row: 4644, expected_value: Total, label: employment type} + - {column: J, row: 4644, expected_value: Value, label: measure} + - {column: L, row: 4645, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4646 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4646, expected_value: E12000003, label: geography} + - {column: D, row: 4646, expected_value: Males, label: sex} + - {column: E, row: 4646, expected_value: Total, label: employment type} + - {column: J, row: 4646, expected_value: Value, label: measure} + - {column: L, row: 4647, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4648 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4648, expected_value: E12000003, label: geography} + - {column: D, row: 4648, expected_value: Males, label: sex} + - {column: E, row: 4648, expected_value: Total, label: employment type} + - {column: J, row: 4648, expected_value: Value, label: measure} + - {column: L, row: 4649, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4650 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4650, expected_value: E12000003, label: geography} + - {column: D, row: 4650, expected_value: Males, label: sex} + - {column: E, row: 4650, expected_value: Total, label: employment type} + - {column: J, row: 4650, expected_value: Value, label: measure} + - {column: L, row: 4651, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4652 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4652, expected_value: E12000003, label: geography} + - {column: D, row: 4652, expected_value: Males, label: sex} + - {column: E, row: 4652, expected_value: Total, label: employment type} + - {column: J, row: 4652, expected_value: Value, label: measure} + - {column: L, row: 4653, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4654 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4654, expected_value: E12000003, label: geography} + - {column: D, row: 4654, expected_value: Males, label: sex} + - {column: E, row: 4654, expected_value: Total, label: employment type} + - {column: J, row: 4654, expected_value: Value, label: measure} + - {column: L, row: 4655, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4656 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4656, expected_value: E12000003, label: geography} + - {column: D, row: 4656, expected_value: Males, label: sex} + - {column: E, row: 4656, expected_value: Total, label: employment type} + - {column: J, row: 4656, expected_value: Value, label: measure} + - {column: L, row: 4657, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4658 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4658, expected_value: E12000003, label: geography} + - {column: D, row: 4658, expected_value: Males, label: sex} + - {column: E, row: 4658, expected_value: Total, label: employment type} + - {column: J, row: 4658, expected_value: Value, label: measure} + - {column: L, row: 4659, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4660 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4660, expected_value: E12000003, label: geography} + - {column: D, row: 4660, expected_value: Males, label: sex} + - {column: E, row: 4660, expected_value: Total, label: employment type} + - {column: J, row: 4660, expected_value: Value, label: measure} + - {column: L, row: 4661, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4662 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4662, expected_value: E12000003, label: geography} + - {column: D, row: 4662, expected_value: Males, label: sex} + - {column: E, row: 4662, expected_value: Total, label: employment type} + - {column: J, row: 4662, expected_value: Value, label: measure} + - {column: L, row: 4663, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4664 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4664, expected_value: E12000003, label: geography} + - {column: D, row: 4664, expected_value: Males, label: sex} + - {column: E, row: 4664, expected_value: Total, label: employment type} + - {column: J, row: 4664, expected_value: Value, label: measure} + - {column: L, row: 4665, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4666 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4666, expected_value: E12000003, label: geography} + - {column: D, row: 4666, expected_value: Males, label: sex} + - {column: E, row: 4666, expected_value: Total, label: employment type} + - {column: J, row: 4666, expected_value: Value, label: measure} + - {column: L, row: 4667, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4668 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4668, expected_value: E12000003, label: geography} + - {column: D, row: 4668, expected_value: Males, label: sex} + - {column: E, row: 4668, expected_value: Total, label: employment type} + - {column: J, row: 4668, expected_value: Value, label: measure} + - {column: L, row: 4669, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4670 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4670, expected_value: E12000003, label: geography} + - {column: D, row: 4670, expected_value: Males, label: sex} + - {column: E, row: 4670, expected_value: Total, label: employment type} + - {column: J, row: 4670, expected_value: Value, label: measure} + - {column: L, row: 4671, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4672 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4672, expected_value: E12000003, label: geography} + - {column: D, row: 4672, expected_value: Males, label: sex} + - {column: E, row: 4672, expected_value: Total, label: employment type} + - {column: J, row: 4672, expected_value: Value, label: measure} + - {column: L, row: 4673, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4674 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4674, expected_value: E12000003, label: geography} + - {column: D, row: 4674, expected_value: Males, label: sex} + - {column: E, row: 4674, expected_value: Total, label: employment type} + - {column: J, row: 4674, expected_value: Value, label: measure} + - {column: L, row: 4675, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4676 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4676, expected_value: E12000003, label: geography} + - {column: D, row: 4676, expected_value: Males, label: sex} + - {column: E, row: 4676, expected_value: Total, label: employment type} + - {column: J, row: 4676, expected_value: Value, label: measure} + - {column: L, row: 4677, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4678 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4678, expected_value: E12000003, label: geography} + - {column: D, row: 4678, expected_value: Males, label: sex} + - {column: E, row: 4678, expected_value: Total, label: employment type} + - {column: J, row: 4678, expected_value: Value, label: measure} + - {column: L, row: 4679, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4680 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4680, expected_value: E12000003, label: geography} + - {column: D, row: 4680, expected_value: Males, label: sex} + - {column: E, row: 4680, expected_value: Total, label: employment type} + - {column: J, row: 4680, expected_value: Value, label: measure} + - {column: L, row: 4681, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4611 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4611, expected_value: E12000003, label: geography} + - {column: D, row: 4611, expected_value: Males, label: sex} + - {column: E, row: 4611, expected_value: Total, label: employment type} + - {column: J, row: 4611, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4613 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4613, expected_value: E12000003, label: geography} + - {column: D, row: 4613, expected_value: Males, label: sex} + - {column: E, row: 4613, expected_value: Total, label: employment type} + - {column: J, row: 4613, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4615 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4615, expected_value: E12000003, label: geography} + - {column: D, row: 4615, expected_value: Males, label: sex} + - {column: E, row: 4615, expected_value: Total, label: employment type} + - {column: J, row: 4615, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4617 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4617, expected_value: E12000003, label: geography} + - {column: D, row: 4617, expected_value: Males, label: sex} + - {column: E, row: 4617, expected_value: Total, label: employment type} + - {column: J, row: 4617, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4619 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4619, expected_value: E12000003, label: geography} + - {column: D, row: 4619, expected_value: Males, label: sex} + - {column: E, row: 4619, expected_value: Total, label: employment type} + - {column: J, row: 4619, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4621 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4621, expected_value: E12000003, label: geography} + - {column: D, row: 4621, expected_value: Males, label: sex} + - {column: E, row: 4621, expected_value: Total, label: employment type} + - {column: J, row: 4621, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4623 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4623, expected_value: E12000003, label: geography} + - {column: D, row: 4623, expected_value: Males, label: sex} + - {column: E, row: 4623, expected_value: Total, label: employment type} + - {column: J, row: 4623, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4625 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4625, expected_value: E12000003, label: geography} + - {column: D, row: 4625, expected_value: Males, label: sex} + - {column: E, row: 4625, expected_value: Total, label: employment type} + - {column: J, row: 4625, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4627 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4627, expected_value: E12000003, label: geography} + - {column: D, row: 4627, expected_value: Males, label: sex} + - {column: E, row: 4627, expected_value: Total, label: employment type} + - {column: J, row: 4627, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4629 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4629, expected_value: E12000003, label: geography} + - {column: D, row: 4629, expected_value: Males, label: sex} + - {column: E, row: 4629, expected_value: Total, label: employment type} + - {column: J, row: 4629, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4631 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4631, expected_value: E12000003, label: geography} + - {column: D, row: 4631, expected_value: Males, label: sex} + - {column: E, row: 4631, expected_value: Total, label: employment type} + - {column: J, row: 4631, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4633 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4633, expected_value: E12000003, label: geography} + - {column: D, row: 4633, expected_value: Males, label: sex} + - {column: E, row: 4633, expected_value: Total, label: employment type} + - {column: J, row: 4633, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4635 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4635, expected_value: E12000003, label: geography} + - {column: D, row: 4635, expected_value: Males, label: sex} + - {column: E, row: 4635, expected_value: Total, label: employment type} + - {column: J, row: 4635, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4637 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4637, expected_value: E12000003, label: geography} + - {column: D, row: 4637, expected_value: Males, label: sex} + - {column: E, row: 4637, expected_value: Total, label: employment type} + - {column: J, row: 4637, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4639 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4639, expected_value: E12000003, label: geography} + - {column: D, row: 4639, expected_value: Males, label: sex} + - {column: E, row: 4639, expected_value: Total, label: employment type} + - {column: J, row: 4639, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4641 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4641, expected_value: E12000003, label: geography} + - {column: D, row: 4641, expected_value: Males, label: sex} + - {column: E, row: 4641, expected_value: Total, label: employment type} + - {column: J, row: 4641, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4643 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4643, expected_value: E12000003, label: geography} + - {column: D, row: 4643, expected_value: Males, label: sex} + - {column: E, row: 4643, expected_value: Total, label: employment type} + - {column: J, row: 4643, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4647 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4647, expected_value: E12000003, label: geography} + - {column: D, row: 4647, expected_value: Males, label: sex} + - {column: E, row: 4647, expected_value: Total, label: employment type} + - {column: J, row: 4647, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4649 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4649, expected_value: E12000003, label: geography} + - {column: D, row: 4649, expected_value: Males, label: sex} + - {column: E, row: 4649, expected_value: Total, label: employment type} + - {column: J, row: 4649, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4651 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4651, expected_value: E12000003, label: geography} + - {column: D, row: 4651, expected_value: Males, label: sex} + - {column: E, row: 4651, expected_value: Total, label: employment type} + - {column: J, row: 4651, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4653 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4653, expected_value: E12000003, label: geography} + - {column: D, row: 4653, expected_value: Males, label: sex} + - {column: E, row: 4653, expected_value: Total, label: employment type} + - {column: J, row: 4653, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4655 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4655, expected_value: E12000003, label: geography} + - {column: D, row: 4655, expected_value: Males, label: sex} + - {column: E, row: 4655, expected_value: Total, label: employment type} + - {column: J, row: 4655, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4657 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4657, expected_value: E12000003, label: geography} + - {column: D, row: 4657, expected_value: Males, label: sex} + - {column: E, row: 4657, expected_value: Total, label: employment type} + - {column: J, row: 4657, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4659 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4659, expected_value: E12000003, label: geography} + - {column: D, row: 4659, expected_value: Males, label: sex} + - {column: E, row: 4659, expected_value: Total, label: employment type} + - {column: J, row: 4659, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4661 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4661, expected_value: E12000003, label: geography} + - {column: D, row: 4661, expected_value: Males, label: sex} + - {column: E, row: 4661, expected_value: Total, label: employment type} + - {column: J, row: 4661, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4665 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4665, expected_value: E12000003, label: geography} + - {column: D, row: 4665, expected_value: Males, label: sex} + - {column: E, row: 4665, expected_value: Total, label: employment type} + - {column: J, row: 4665, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4667 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4667, expected_value: E12000003, label: geography} + - {column: D, row: 4667, expected_value: Males, label: sex} + - {column: E, row: 4667, expected_value: Total, label: employment type} + - {column: J, row: 4667, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4669 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4669, expected_value: E12000003, label: geography} + - {column: D, row: 4669, expected_value: Males, label: sex} + - {column: E, row: 4669, expected_value: Total, label: employment type} + - {column: J, row: 4669, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4671 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4671, expected_value: E12000003, label: geography} + - {column: D, row: 4671, expected_value: Males, label: sex} + - {column: E, row: 4671, expected_value: Total, label: employment type} + - {column: J, row: 4671, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4673 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4673, expected_value: E12000003, label: geography} + - {column: D, row: 4673, expected_value: Males, label: sex} + - {column: E, row: 4673, expected_value: Total, label: employment type} + - {column: J, row: 4673, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4675 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4675, expected_value: E12000003, label: geography} + - {column: D, row: 4675, expected_value: Males, label: sex} + - {column: E, row: 4675, expected_value: Total, label: employment type} + - {column: J, row: 4675, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4677 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4677, expected_value: E12000003, label: geography} + - {column: D, row: 4677, expected_value: Males, label: sex} + - {column: E, row: 4677, expected_value: Total, label: employment type} + - {column: J, row: 4677, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4679 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4679, expected_value: E12000003, label: geography} + - {column: D, row: 4679, expected_value: Males, label: sex} + - {column: E, row: 4679, expected_value: Total, label: employment type} + - {column: J, row: 4679, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4681 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4681, expected_value: E12000003, label: geography} + - {column: D, row: 4681, expected_value: Males, label: sex} + - {column: E, row: 4681, expected_value: Total, label: employment type} + - {column: J, row: 4681, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4826 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4826, expected_value: E12000003, label: geography} + - {column: D, row: 4826, expected_value: Males, label: sex} + - {column: E, row: 4826, expected_value: Employee, label: employment type} + - {column: J, row: 4826, expected_value: Value, label: measure} + - {column: L, row: 4827, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4828 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4828, expected_value: E12000003, label: geography} + - {column: D, row: 4828, expected_value: Males, label: sex} + - {column: E, row: 4828, expected_value: Employee, label: employment type} + - {column: J, row: 4828, expected_value: Value, label: measure} + - {column: L, row: 4829, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4830 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4830, expected_value: E12000003, label: geography} + - {column: D, row: 4830, expected_value: Males, label: sex} + - {column: E, row: 4830, expected_value: Employee, label: employment type} + - {column: J, row: 4830, expected_value: Value, label: measure} + - {column: L, row: 4831, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4832 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4832, expected_value: E12000003, label: geography} + - {column: D, row: 4832, expected_value: Males, label: sex} + - {column: E, row: 4832, expected_value: Employee, label: employment type} + - {column: J, row: 4832, expected_value: Value, label: measure} + - {column: L, row: 4833, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4834 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4834, expected_value: E12000003, label: geography} + - {column: D, row: 4834, expected_value: Males, label: sex} + - {column: E, row: 4834, expected_value: Employee, label: employment type} + - {column: J, row: 4834, expected_value: Value, label: measure} + - {column: L, row: 4835, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4836 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4836, expected_value: E12000003, label: geography} + - {column: D, row: 4836, expected_value: Males, label: sex} + - {column: E, row: 4836, expected_value: Employee, label: employment type} + - {column: J, row: 4836, expected_value: Value, label: measure} + - {column: L, row: 4837, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4838 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4838, expected_value: E12000003, label: geography} + - {column: D, row: 4838, expected_value: Males, label: sex} + - {column: E, row: 4838, expected_value: Employee, label: employment type} + - {column: J, row: 4838, expected_value: Value, label: measure} + - {column: L, row: 4839, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4840 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4840, expected_value: E12000003, label: geography} + - {column: D, row: 4840, expected_value: Males, label: sex} + - {column: E, row: 4840, expected_value: Employee, label: employment type} + - {column: J, row: 4840, expected_value: Value, label: measure} + - {column: L, row: 4841, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4842 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4842, expected_value: E12000003, label: geography} + - {column: D, row: 4842, expected_value: Males, label: sex} + - {column: E, row: 4842, expected_value: Employee, label: employment type} + - {column: J, row: 4842, expected_value: Value, label: measure} + - {column: L, row: 4843, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4844 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4844, expected_value: E12000003, label: geography} + - {column: D, row: 4844, expected_value: Males, label: sex} + - {column: E, row: 4844, expected_value: Employee, label: employment type} + - {column: J, row: 4844, expected_value: Value, label: measure} + - {column: L, row: 4845, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4846 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4846, expected_value: E12000003, label: geography} + - {column: D, row: 4846, expected_value: Males, label: sex} + - {column: E, row: 4846, expected_value: Employee, label: employment type} + - {column: J, row: 4846, expected_value: Value, label: measure} + - {column: L, row: 4847, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4848 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4848, expected_value: E12000003, label: geography} + - {column: D, row: 4848, expected_value: Males, label: sex} + - {column: E, row: 4848, expected_value: Employee, label: employment type} + - {column: J, row: 4848, expected_value: Value, label: measure} + - {column: L, row: 4849, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4850 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4850, expected_value: E12000003, label: geography} + - {column: D, row: 4850, expected_value: Males, label: sex} + - {column: E, row: 4850, expected_value: Employee, label: employment type} + - {column: J, row: 4850, expected_value: Value, label: measure} + - {column: L, row: 4851, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4852 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4852, expected_value: E12000003, label: geography} + - {column: D, row: 4852, expected_value: Males, label: sex} + - {column: E, row: 4852, expected_value: Employee, label: employment type} + - {column: J, row: 4852, expected_value: Value, label: measure} + - {column: L, row: 4853, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4854 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4854, expected_value: E12000003, label: geography} + - {column: D, row: 4854, expected_value: Males, label: sex} + - {column: E, row: 4854, expected_value: Employee, label: employment type} + - {column: J, row: 4854, expected_value: Value, label: measure} + - {column: L, row: 4855, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4856 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4856, expected_value: E12000003, label: geography} + - {column: D, row: 4856, expected_value: Males, label: sex} + - {column: E, row: 4856, expected_value: Employee, label: employment type} + - {column: J, row: 4856, expected_value: Value, label: measure} + - {column: L, row: 4857, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4858 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4858, expected_value: E12000003, label: geography} + - {column: D, row: 4858, expected_value: Males, label: sex} + - {column: E, row: 4858, expected_value: Employee, label: employment type} + - {column: J, row: 4858, expected_value: Value, label: measure} + - {column: L, row: 4859, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4860 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4860, expected_value: E12000003, label: geography} + - {column: D, row: 4860, expected_value: Males, label: sex} + - {column: E, row: 4860, expected_value: Employee, label: employment type} + - {column: J, row: 4860, expected_value: Value, label: measure} + - {column: L, row: 4861, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4862 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4862, expected_value: E12000003, label: geography} + - {column: D, row: 4862, expected_value: Males, label: sex} + - {column: E, row: 4862, expected_value: Employee, label: employment type} + - {column: J, row: 4862, expected_value: Value, label: measure} + - {column: L, row: 4863, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4864 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4864, expected_value: E12000003, label: geography} + - {column: D, row: 4864, expected_value: Males, label: sex} + - {column: E, row: 4864, expected_value: Employee, label: employment type} + - {column: J, row: 4864, expected_value: Value, label: measure} + - {column: L, row: 4865, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4866 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4866, expected_value: E12000003, label: geography} + - {column: D, row: 4866, expected_value: Males, label: sex} + - {column: E, row: 4866, expected_value: Employee, label: employment type} + - {column: J, row: 4866, expected_value: Value, label: measure} + - {column: L, row: 4867, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4868 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4868, expected_value: E12000003, label: geography} + - {column: D, row: 4868, expected_value: Males, label: sex} + - {column: E, row: 4868, expected_value: Employee, label: employment type} + - {column: J, row: 4868, expected_value: Value, label: measure} + - {column: L, row: 4869, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4870 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4870, expected_value: E12000003, label: geography} + - {column: D, row: 4870, expected_value: Males, label: sex} + - {column: E, row: 4870, expected_value: Employee, label: employment type} + - {column: J, row: 4870, expected_value: Value, label: measure} + - {column: L, row: 4871, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4872 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4872, expected_value: E12000003, label: geography} + - {column: D, row: 4872, expected_value: Males, label: sex} + - {column: E, row: 4872, expected_value: Employee, label: employment type} + - {column: J, row: 4872, expected_value: Value, label: measure} + - {column: L, row: 4873, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4874 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4874, expected_value: E12000003, label: geography} + - {column: D, row: 4874, expected_value: Males, label: sex} + - {column: E, row: 4874, expected_value: Employee, label: employment type} + - {column: J, row: 4874, expected_value: Value, label: measure} + - {column: L, row: 4875, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4876 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4876, expected_value: E12000003, label: geography} + - {column: D, row: 4876, expected_value: Males, label: sex} + - {column: E, row: 4876, expected_value: Employee, label: employment type} + - {column: J, row: 4876, expected_value: Value, label: measure} + - {column: L, row: 4877, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4878 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4878, expected_value: E12000003, label: geography} + - {column: D, row: 4878, expected_value: Males, label: sex} + - {column: E, row: 4878, expected_value: Employee, label: employment type} + - {column: J, row: 4878, expected_value: Value, label: measure} + - {column: L, row: 4879, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4880 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4880, expected_value: E12000003, label: geography} + - {column: D, row: 4880, expected_value: Males, label: sex} + - {column: E, row: 4880, expected_value: Employee, label: employment type} + - {column: J, row: 4880, expected_value: Value, label: measure} + - {column: L, row: 4881, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4882 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4882, expected_value: E12000003, label: geography} + - {column: D, row: 4882, expected_value: Males, label: sex} + - {column: E, row: 4882, expected_value: Employee, label: employment type} + - {column: J, row: 4882, expected_value: Value, label: measure} + - {column: L, row: 4883, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4884 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4884, expected_value: E12000003, label: geography} + - {column: D, row: 4884, expected_value: Males, label: sex} + - {column: E, row: 4884, expected_value: Employee, label: employment type} + - {column: J, row: 4884, expected_value: Value, label: measure} + - {column: L, row: 4885, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4886 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4886, expected_value: E12000003, label: geography} + - {column: D, row: 4886, expected_value: Males, label: sex} + - {column: E, row: 4886, expected_value: Employee, label: employment type} + - {column: J, row: 4886, expected_value: Value, label: measure} + - {column: L, row: 4887, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4888 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4888, expected_value: E12000003, label: geography} + - {column: D, row: 4888, expected_value: Males, label: sex} + - {column: E, row: 4888, expected_value: Employee, label: employment type} + - {column: J, row: 4888, expected_value: Value, label: measure} + - {column: L, row: 4889, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4890 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4890, expected_value: E12000003, label: geography} + - {column: D, row: 4890, expected_value: Males, label: sex} + - {column: E, row: 4890, expected_value: Employee, label: employment type} + - {column: J, row: 4890, expected_value: Value, label: measure} + - {column: L, row: 4891, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4892 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4892, expected_value: E12000003, label: geography} + - {column: D, row: 4892, expected_value: Males, label: sex} + - {column: E, row: 4892, expected_value: Employee, label: employment type} + - {column: J, row: 4892, expected_value: Value, label: measure} + - {column: L, row: 4893, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4894 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4894, expected_value: E12000003, label: geography} + - {column: D, row: 4894, expected_value: Males, label: sex} + - {column: E, row: 4894, expected_value: Employee, label: employment type} + - {column: J, row: 4894, expected_value: Value, label: measure} + - {column: L, row: 4895, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4896 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4896, expected_value: E12000003, label: geography} + - {column: D, row: 4896, expected_value: Males, label: sex} + - {column: E, row: 4896, expected_value: Employee, label: employment type} + - {column: J, row: 4896, expected_value: Value, label: measure} + - {column: L, row: 4897, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4827 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4827, expected_value: E12000003, label: geography} + - {column: D, row: 4827, expected_value: Males, label: sex} + - {column: E, row: 4827, expected_value: Employee, label: employment type} + - {column: J, row: 4827, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4829 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4829, expected_value: E12000003, label: geography} + - {column: D, row: 4829, expected_value: Males, label: sex} + - {column: E, row: 4829, expected_value: Employee, label: employment type} + - {column: J, row: 4829, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4831 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4831, expected_value: E12000003, label: geography} + - {column: D, row: 4831, expected_value: Males, label: sex} + - {column: E, row: 4831, expected_value: Employee, label: employment type} + - {column: J, row: 4831, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4833 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4833, expected_value: E12000003, label: geography} + - {column: D, row: 4833, expected_value: Males, label: sex} + - {column: E, row: 4833, expected_value: Employee, label: employment type} + - {column: J, row: 4833, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4835 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4835, expected_value: E12000003, label: geography} + - {column: D, row: 4835, expected_value: Males, label: sex} + - {column: E, row: 4835, expected_value: Employee, label: employment type} + - {column: J, row: 4835, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4837 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4837, expected_value: E12000003, label: geography} + - {column: D, row: 4837, expected_value: Males, label: sex} + - {column: E, row: 4837, expected_value: Employee, label: employment type} + - {column: J, row: 4837, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4839 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4839, expected_value: E12000003, label: geography} + - {column: D, row: 4839, expected_value: Males, label: sex} + - {column: E, row: 4839, expected_value: Employee, label: employment type} + - {column: J, row: 4839, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4841 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4841, expected_value: E12000003, label: geography} + - {column: D, row: 4841, expected_value: Males, label: sex} + - {column: E, row: 4841, expected_value: Employee, label: employment type} + - {column: J, row: 4841, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4843 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4843, expected_value: E12000003, label: geography} + - {column: D, row: 4843, expected_value: Males, label: sex} + - {column: E, row: 4843, expected_value: Employee, label: employment type} + - {column: J, row: 4843, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4845 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4845, expected_value: E12000003, label: geography} + - {column: D, row: 4845, expected_value: Males, label: sex} + - {column: E, row: 4845, expected_value: Employee, label: employment type} + - {column: J, row: 4845, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4847 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4847, expected_value: E12000003, label: geography} + - {column: D, row: 4847, expected_value: Males, label: sex} + - {column: E, row: 4847, expected_value: Employee, label: employment type} + - {column: J, row: 4847, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4849 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4849, expected_value: E12000003, label: geography} + - {column: D, row: 4849, expected_value: Males, label: sex} + - {column: E, row: 4849, expected_value: Employee, label: employment type} + - {column: J, row: 4849, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4851 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4851, expected_value: E12000003, label: geography} + - {column: D, row: 4851, expected_value: Males, label: sex} + - {column: E, row: 4851, expected_value: Employee, label: employment type} + - {column: J, row: 4851, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4853 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4853, expected_value: E12000003, label: geography} + - {column: D, row: 4853, expected_value: Males, label: sex} + - {column: E, row: 4853, expected_value: Employee, label: employment type} + - {column: J, row: 4853, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4855 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4855, expected_value: E12000003, label: geography} + - {column: D, row: 4855, expected_value: Males, label: sex} + - {column: E, row: 4855, expected_value: Employee, label: employment type} + - {column: J, row: 4855, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4857 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4857, expected_value: E12000003, label: geography} + - {column: D, row: 4857, expected_value: Males, label: sex} + - {column: E, row: 4857, expected_value: Employee, label: employment type} + - {column: J, row: 4857, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4859 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4859, expected_value: E12000003, label: geography} + - {column: D, row: 4859, expected_value: Males, label: sex} + - {column: E, row: 4859, expected_value: Employee, label: employment type} + - {column: J, row: 4859, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4863 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4863, expected_value: E12000003, label: geography} + - {column: D, row: 4863, expected_value: Males, label: sex} + - {column: E, row: 4863, expected_value: Employee, label: employment type} + - {column: J, row: 4863, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4865 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4865, expected_value: E12000003, label: geography} + - {column: D, row: 4865, expected_value: Males, label: sex} + - {column: E, row: 4865, expected_value: Employee, label: employment type} + - {column: J, row: 4865, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4867 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4867, expected_value: E12000003, label: geography} + - {column: D, row: 4867, expected_value: Males, label: sex} + - {column: E, row: 4867, expected_value: Employee, label: employment type} + - {column: J, row: 4867, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4869 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4869, expected_value: E12000003, label: geography} + - {column: D, row: 4869, expected_value: Males, label: sex} + - {column: E, row: 4869, expected_value: Employee, label: employment type} + - {column: J, row: 4869, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4871 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4871, expected_value: E12000003, label: geography} + - {column: D, row: 4871, expected_value: Males, label: sex} + - {column: E, row: 4871, expected_value: Employee, label: employment type} + - {column: J, row: 4871, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4873 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4873, expected_value: E12000003, label: geography} + - {column: D, row: 4873, expected_value: Males, label: sex} + - {column: E, row: 4873, expected_value: Employee, label: employment type} + - {column: J, row: 4873, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4875 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4875, expected_value: E12000003, label: geography} + - {column: D, row: 4875, expected_value: Males, label: sex} + - {column: E, row: 4875, expected_value: Employee, label: employment type} + - {column: J, row: 4875, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4877 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4877, expected_value: E12000003, label: geography} + - {column: D, row: 4877, expected_value: Males, label: sex} + - {column: E, row: 4877, expected_value: Employee, label: employment type} + - {column: J, row: 4877, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4881 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4881, expected_value: E12000003, label: geography} + - {column: D, row: 4881, expected_value: Males, label: sex} + - {column: E, row: 4881, expected_value: Employee, label: employment type} + - {column: J, row: 4881, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4883 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4883, expected_value: E12000003, label: geography} + - {column: D, row: 4883, expected_value: Males, label: sex} + - {column: E, row: 4883, expected_value: Employee, label: employment type} + - {column: J, row: 4883, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4885 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4885, expected_value: E12000003, label: geography} + - {column: D, row: 4885, expected_value: Males, label: sex} + - {column: E, row: 4885, expected_value: Employee, label: employment type} + - {column: J, row: 4885, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4887 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4887, expected_value: E12000003, label: geography} + - {column: D, row: 4887, expected_value: Males, label: sex} + - {column: E, row: 4887, expected_value: Employee, label: employment type} + - {column: J, row: 4887, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4889 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4889, expected_value: E12000003, label: geography} + - {column: D, row: 4889, expected_value: Males, label: sex} + - {column: E, row: 4889, expected_value: Employee, label: employment type} + - {column: J, row: 4889, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4891 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4891, expected_value: E12000003, label: geography} + - {column: D, row: 4891, expected_value: Males, label: sex} + - {column: E, row: 4891, expected_value: Employee, label: employment type} + - {column: J, row: 4891, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4893 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4893, expected_value: E12000003, label: geography} + - {column: D, row: 4893, expected_value: Males, label: sex} + - {column: E, row: 4893, expected_value: Employee, label: employment type} + - {column: J, row: 4893, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4895 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4895, expected_value: E12000003, label: geography} + - {column: D, row: 4895, expected_value: Males, label: sex} + - {column: E, row: 4895, expected_value: Employee, label: employment type} + - {column: J, row: 4895, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4897 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4897, expected_value: E12000003, label: geography} + - {column: D, row: 4897, expected_value: Males, label: sex} + - {column: E, row: 4897, expected_value: Employee, label: employment type} + - {column: J, row: 4897, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5042 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5042, expected_value: E12000003, label: geography} + - {column: D, row: 5042, expected_value: Males, label: sex} + - {column: E, row: 5042, expected_value: Self-employed, label: employment type} + - {column: J, row: 5042, expected_value: Value, label: measure} + - {column: L, row: 5043, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5044 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5044, expected_value: E12000003, label: geography} + - {column: D, row: 5044, expected_value: Males, label: sex} + - {column: E, row: 5044, expected_value: Self-employed, label: employment type} + - {column: J, row: 5044, expected_value: Value, label: measure} + - {column: L, row: 5045, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5046 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5046, expected_value: E12000003, label: geography} + - {column: D, row: 5046, expected_value: Males, label: sex} + - {column: E, row: 5046, expected_value: Self-employed, label: employment type} + - {column: J, row: 5046, expected_value: Value, label: measure} + - {column: L, row: 5047, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5048 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5048, expected_value: E12000003, label: geography} + - {column: D, row: 5048, expected_value: Males, label: sex} + - {column: E, row: 5048, expected_value: Self-employed, label: employment type} + - {column: J, row: 5048, expected_value: Value, label: measure} + - {column: L, row: 5049, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5050 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5050, expected_value: E12000003, label: geography} + - {column: D, row: 5050, expected_value: Males, label: sex} + - {column: E, row: 5050, expected_value: Self-employed, label: employment type} + - {column: J, row: 5050, expected_value: Value, label: measure} + - {column: L, row: 5051, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5052 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5052, expected_value: E12000003, label: geography} + - {column: D, row: 5052, expected_value: Males, label: sex} + - {column: E, row: 5052, expected_value: Self-employed, label: employment type} + - {column: J, row: 5052, expected_value: Value, label: measure} + - {column: L, row: 5053, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5054 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5054, expected_value: E12000003, label: geography} + - {column: D, row: 5054, expected_value: Males, label: sex} + - {column: E, row: 5054, expected_value: Self-employed, label: employment type} + - {column: J, row: 5054, expected_value: Value, label: measure} + - {column: L, row: 5055, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5056 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5056, expected_value: E12000003, label: geography} + - {column: D, row: 5056, expected_value: Males, label: sex} + - {column: E, row: 5056, expected_value: Self-employed, label: employment type} + - {column: J, row: 5056, expected_value: Value, label: measure} + - {column: L, row: 5057, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5058 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5058, expected_value: E12000003, label: geography} + - {column: D, row: 5058, expected_value: Males, label: sex} + - {column: E, row: 5058, expected_value: Self-employed, label: employment type} + - {column: J, row: 5058, expected_value: Value, label: measure} + - {column: L, row: 5059, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5060 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5060, expected_value: E12000003, label: geography} + - {column: D, row: 5060, expected_value: Males, label: sex} + - {column: E, row: 5060, expected_value: Self-employed, label: employment type} + - {column: J, row: 5060, expected_value: Value, label: measure} + - {column: L, row: 5061, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5062 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5062, expected_value: E12000003, label: geography} + - {column: D, row: 5062, expected_value: Males, label: sex} + - {column: E, row: 5062, expected_value: Self-employed, label: employment type} + - {column: J, row: 5062, expected_value: Value, label: measure} + - {column: L, row: 5063, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5064 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5064, expected_value: E12000003, label: geography} + - {column: D, row: 5064, expected_value: Males, label: sex} + - {column: E, row: 5064, expected_value: Self-employed, label: employment type} + - {column: J, row: 5064, expected_value: Value, label: measure} + - {column: L, row: 5065, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5068 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5068, expected_value: E12000003, label: geography} + - {column: D, row: 5068, expected_value: Males, label: sex} + - {column: E, row: 5068, expected_value: Self-employed, label: employment type} + - {column: J, row: 5068, expected_value: Value, label: measure} + - {column: L, row: 5069, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5070 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5070, expected_value: E12000003, label: geography} + - {column: D, row: 5070, expected_value: Males, label: sex} + - {column: E, row: 5070, expected_value: Self-employed, label: employment type} + - {column: J, row: 5070, expected_value: Value, label: measure} + - {column: L, row: 5071, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5072 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5072, expected_value: E12000003, label: geography} + - {column: D, row: 5072, expected_value: Males, label: sex} + - {column: E, row: 5072, expected_value: Self-employed, label: employment type} + - {column: J, row: 5072, expected_value: Value, label: measure} + - {column: L, row: 5073, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5074 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5074, expected_value: E12000003, label: geography} + - {column: D, row: 5074, expected_value: Males, label: sex} + - {column: E, row: 5074, expected_value: Self-employed, label: employment type} + - {column: J, row: 5074, expected_value: Value, label: measure} + - {column: L, row: 5075, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5078 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5078, expected_value: E12000003, label: geography} + - {column: D, row: 5078, expected_value: Males, label: sex} + - {column: E, row: 5078, expected_value: Self-employed, label: employment type} + - {column: J, row: 5078, expected_value: Value, label: measure} + - {column: L, row: 5079, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5080 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5080, expected_value: E12000003, label: geography} + - {column: D, row: 5080, expected_value: Males, label: sex} + - {column: E, row: 5080, expected_value: Self-employed, label: employment type} + - {column: J, row: 5080, expected_value: Value, label: measure} + - {column: L, row: 5081, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5082 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5082, expected_value: E12000003, label: geography} + - {column: D, row: 5082, expected_value: Males, label: sex} + - {column: E, row: 5082, expected_value: Self-employed, label: employment type} + - {column: J, row: 5082, expected_value: Value, label: measure} + - {column: L, row: 5083, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5084 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5084, expected_value: E12000003, label: geography} + - {column: D, row: 5084, expected_value: Males, label: sex} + - {column: E, row: 5084, expected_value: Self-employed, label: employment type} + - {column: J, row: 5084, expected_value: Value, label: measure} + - {column: L, row: 5085, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5086 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5086, expected_value: E12000003, label: geography} + - {column: D, row: 5086, expected_value: Males, label: sex} + - {column: E, row: 5086, expected_value: Self-employed, label: employment type} + - {column: J, row: 5086, expected_value: Value, label: measure} + - {column: L, row: 5087, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5088 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5088, expected_value: E12000003, label: geography} + - {column: D, row: 5088, expected_value: Males, label: sex} + - {column: E, row: 5088, expected_value: Self-employed, label: employment type} + - {column: J, row: 5088, expected_value: Value, label: measure} + - {column: L, row: 5089, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5090 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5090, expected_value: E12000003, label: geography} + - {column: D, row: 5090, expected_value: Males, label: sex} + - {column: E, row: 5090, expected_value: Self-employed, label: employment type} + - {column: J, row: 5090, expected_value: Value, label: measure} + - {column: L, row: 5091, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5092 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5092, expected_value: E12000003, label: geography} + - {column: D, row: 5092, expected_value: Males, label: sex} + - {column: E, row: 5092, expected_value: Self-employed, label: employment type} + - {column: J, row: 5092, expected_value: Value, label: measure} + - {column: L, row: 5093, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5096 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5096, expected_value: E12000003, label: geography} + - {column: D, row: 5096, expected_value: Males, label: sex} + - {column: E, row: 5096, expected_value: Self-employed, label: employment type} + - {column: J, row: 5096, expected_value: Value, label: measure} + - {column: L, row: 5097, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5098 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5098, expected_value: E12000003, label: geography} + - {column: D, row: 5098, expected_value: Males, label: sex} + - {column: E, row: 5098, expected_value: Self-employed, label: employment type} + - {column: J, row: 5098, expected_value: Value, label: measure} + - {column: L, row: 5099, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5102 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5102, expected_value: E12000003, label: geography} + - {column: D, row: 5102, expected_value: Males, label: sex} + - {column: E, row: 5102, expected_value: Self-employed, label: employment type} + - {column: J, row: 5102, expected_value: Value, label: measure} + - {column: L, row: 5103, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5104 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5104, expected_value: E12000003, label: geography} + - {column: D, row: 5104, expected_value: Males, label: sex} + - {column: E, row: 5104, expected_value: Self-employed, label: employment type} + - {column: J, row: 5104, expected_value: Value, label: measure} + - {column: L, row: 5105, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5106 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5106, expected_value: E12000003, label: geography} + - {column: D, row: 5106, expected_value: Males, label: sex} + - {column: E, row: 5106, expected_value: Self-employed, label: employment type} + - {column: J, row: 5106, expected_value: Value, label: measure} + - {column: L, row: 5107, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5108 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5108, expected_value: E12000003, label: geography} + - {column: D, row: 5108, expected_value: Males, label: sex} + - {column: E, row: 5108, expected_value: Self-employed, label: employment type} + - {column: J, row: 5108, expected_value: Value, label: measure} + - {column: L, row: 5109, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5110 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5110, expected_value: E12000003, label: geography} + - {column: D, row: 5110, expected_value: Males, label: sex} + - {column: E, row: 5110, expected_value: Self-employed, label: employment type} + - {column: J, row: 5110, expected_value: Value, label: measure} + - {column: L, row: 5111, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5112 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5112, expected_value: E12000003, label: geography} + - {column: D, row: 5112, expected_value: Males, label: sex} + - {column: E, row: 5112, expected_value: Self-employed, label: employment type} + - {column: J, row: 5112, expected_value: Value, label: measure} + - {column: L, row: 5113, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5043 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5043, expected_value: E12000003, label: geography} + - {column: D, row: 5043, expected_value: Males, label: sex} + - {column: E, row: 5043, expected_value: Self-employed, label: employment type} + - {column: J, row: 5043, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5045 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5045, expected_value: E12000003, label: geography} + - {column: D, row: 5045, expected_value: Males, label: sex} + - {column: E, row: 5045, expected_value: Self-employed, label: employment type} + - {column: J, row: 5045, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5047 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5047, expected_value: E12000003, label: geography} + - {column: D, row: 5047, expected_value: Males, label: sex} + - {column: E, row: 5047, expected_value: Self-employed, label: employment type} + - {column: J, row: 5047, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5049 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5049, expected_value: E12000003, label: geography} + - {column: D, row: 5049, expected_value: Males, label: sex} + - {column: E, row: 5049, expected_value: Self-employed, label: employment type} + - {column: J, row: 5049, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5051 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5051, expected_value: E12000003, label: geography} + - {column: D, row: 5051, expected_value: Males, label: sex} + - {column: E, row: 5051, expected_value: Self-employed, label: employment type} + - {column: J, row: 5051, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5053 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5053, expected_value: E12000003, label: geography} + - {column: D, row: 5053, expected_value: Males, label: sex} + - {column: E, row: 5053, expected_value: Self-employed, label: employment type} + - {column: J, row: 5053, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5055 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5055, expected_value: E12000003, label: geography} + - {column: D, row: 5055, expected_value: Males, label: sex} + - {column: E, row: 5055, expected_value: Self-employed, label: employment type} + - {column: J, row: 5055, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5057 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5057, expected_value: E12000003, label: geography} + - {column: D, row: 5057, expected_value: Males, label: sex} + - {column: E, row: 5057, expected_value: Self-employed, label: employment type} + - {column: J, row: 5057, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5059 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5059, expected_value: E12000003, label: geography} + - {column: D, row: 5059, expected_value: Males, label: sex} + - {column: E, row: 5059, expected_value: Self-employed, label: employment type} + - {column: J, row: 5059, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5061 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5061, expected_value: E12000003, label: geography} + - {column: D, row: 5061, expected_value: Males, label: sex} + - {column: E, row: 5061, expected_value: Self-employed, label: employment type} + - {column: J, row: 5061, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5069 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5069, expected_value: E12000003, label: geography} + - {column: D, row: 5069, expected_value: Males, label: sex} + - {column: E, row: 5069, expected_value: Self-employed, label: employment type} + - {column: J, row: 5069, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5071 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5071, expected_value: E12000003, label: geography} + - {column: D, row: 5071, expected_value: Males, label: sex} + - {column: E, row: 5071, expected_value: Self-employed, label: employment type} + - {column: J, row: 5071, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5079 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5079, expected_value: E12000003, label: geography} + - {column: D, row: 5079, expected_value: Males, label: sex} + - {column: E, row: 5079, expected_value: Self-employed, label: employment type} + - {column: J, row: 5079, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5081 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5081, expected_value: E12000003, label: geography} + - {column: D, row: 5081, expected_value: Males, label: sex} + - {column: E, row: 5081, expected_value: Self-employed, label: employment type} + - {column: J, row: 5081, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5083 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5083, expected_value: E12000003, label: geography} + - {column: D, row: 5083, expected_value: Males, label: sex} + - {column: E, row: 5083, expected_value: Self-employed, label: employment type} + - {column: J, row: 5083, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5085 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5085, expected_value: E12000003, label: geography} + - {column: D, row: 5085, expected_value: Males, label: sex} + - {column: E, row: 5085, expected_value: Self-employed, label: employment type} + - {column: J, row: 5085, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5087 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5087, expected_value: E12000003, label: geography} + - {column: D, row: 5087, expected_value: Males, label: sex} + - {column: E, row: 5087, expected_value: Self-employed, label: employment type} + - {column: J, row: 5087, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5089 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5089, expected_value: E12000003, label: geography} + - {column: D, row: 5089, expected_value: Males, label: sex} + - {column: E, row: 5089, expected_value: Self-employed, label: employment type} + - {column: J, row: 5089, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5091 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5091, expected_value: E12000003, label: geography} + - {column: D, row: 5091, expected_value: Males, label: sex} + - {column: E, row: 5091, expected_value: Self-employed, label: employment type} + - {column: J, row: 5091, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5097 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5097, expected_value: E12000003, label: geography} + - {column: D, row: 5097, expected_value: Males, label: sex} + - {column: E, row: 5097, expected_value: Self-employed, label: employment type} + - {column: J, row: 5097, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5099 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5099, expected_value: E12000003, label: geography} + - {column: D, row: 5099, expected_value: Males, label: sex} + - {column: E, row: 5099, expected_value: Self-employed, label: employment type} + - {column: J, row: 5099, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5103 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5103, expected_value: E12000003, label: geography} + - {column: D, row: 5103, expected_value: Males, label: sex} + - {column: E, row: 5103, expected_value: Self-employed, label: employment type} + - {column: J, row: 5103, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5105 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5105, expected_value: E12000003, label: geography} + - {column: D, row: 5105, expected_value: Males, label: sex} + - {column: E, row: 5105, expected_value: Self-employed, label: employment type} + - {column: J, row: 5105, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5107 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5107, expected_value: E12000003, label: geography} + - {column: D, row: 5107, expected_value: Males, label: sex} + - {column: E, row: 5107, expected_value: Self-employed, label: employment type} + - {column: J, row: 5107, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5109 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5109, expected_value: E12000003, label: geography} + - {column: D, row: 5109, expected_value: Males, label: sex} + - {column: E, row: 5109, expected_value: Self-employed, label: employment type} + - {column: J, row: 5109, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5111 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5111, expected_value: E12000003, label: geography} + - {column: D, row: 5111, expected_value: Males, label: sex} + - {column: E, row: 5111, expected_value: Self-employed, label: employment type} + - {column: J, row: 5111, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5113 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5113, expected_value: E12000003, label: geography} + - {column: D, row: 5113, expected_value: Males, label: sex} + - {column: E, row: 5113, expected_value: Self-employed, label: employment type} + - {column: J, row: 5113, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4682 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4682, expected_value: E12000003, label: geography} + - {column: D, row: 4682, expected_value: Females, label: sex} + - {column: E, row: 4682, expected_value: Total, label: employment type} + - {column: J, row: 4682, expected_value: Value, label: measure} + - {column: L, row: 4683, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4684 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4684, expected_value: E12000003, label: geography} + - {column: D, row: 4684, expected_value: Females, label: sex} + - {column: E, row: 4684, expected_value: Total, label: employment type} + - {column: J, row: 4684, expected_value: Value, label: measure} + - {column: L, row: 4685, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4686 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4686, expected_value: E12000003, label: geography} + - {column: D, row: 4686, expected_value: Females, label: sex} + - {column: E, row: 4686, expected_value: Total, label: employment type} + - {column: J, row: 4686, expected_value: Value, label: measure} + - {column: L, row: 4687, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4688 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4688, expected_value: E12000003, label: geography} + - {column: D, row: 4688, expected_value: Females, label: sex} + - {column: E, row: 4688, expected_value: Total, label: employment type} + - {column: J, row: 4688, expected_value: Value, label: measure} + - {column: L, row: 4689, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4690 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4690, expected_value: E12000003, label: geography} + - {column: D, row: 4690, expected_value: Females, label: sex} + - {column: E, row: 4690, expected_value: Total, label: employment type} + - {column: J, row: 4690, expected_value: Value, label: measure} + - {column: L, row: 4691, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4692 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4692, expected_value: E12000003, label: geography} + - {column: D, row: 4692, expected_value: Females, label: sex} + - {column: E, row: 4692, expected_value: Total, label: employment type} + - {column: J, row: 4692, expected_value: Value, label: measure} + - {column: L, row: 4693, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4694 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4694, expected_value: E12000003, label: geography} + - {column: D, row: 4694, expected_value: Females, label: sex} + - {column: E, row: 4694, expected_value: Total, label: employment type} + - {column: J, row: 4694, expected_value: Value, label: measure} + - {column: L, row: 4695, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4696 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4696, expected_value: E12000003, label: geography} + - {column: D, row: 4696, expected_value: Females, label: sex} + - {column: E, row: 4696, expected_value: Total, label: employment type} + - {column: J, row: 4696, expected_value: Value, label: measure} + - {column: L, row: 4697, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4698 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4698, expected_value: E12000003, label: geography} + - {column: D, row: 4698, expected_value: Females, label: sex} + - {column: E, row: 4698, expected_value: Total, label: employment type} + - {column: J, row: 4698, expected_value: Value, label: measure} + - {column: L, row: 4699, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4700 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4700, expected_value: E12000003, label: geography} + - {column: D, row: 4700, expected_value: Females, label: sex} + - {column: E, row: 4700, expected_value: Total, label: employment type} + - {column: J, row: 4700, expected_value: Value, label: measure} + - {column: L, row: 4701, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4702 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4702, expected_value: E12000003, label: geography} + - {column: D, row: 4702, expected_value: Females, label: sex} + - {column: E, row: 4702, expected_value: Total, label: employment type} + - {column: J, row: 4702, expected_value: Value, label: measure} + - {column: L, row: 4703, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4704 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4704, expected_value: E12000003, label: geography} + - {column: D, row: 4704, expected_value: Females, label: sex} + - {column: E, row: 4704, expected_value: Total, label: employment type} + - {column: J, row: 4704, expected_value: Value, label: measure} + - {column: L, row: 4705, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4706 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4706, expected_value: E12000003, label: geography} + - {column: D, row: 4706, expected_value: Females, label: sex} + - {column: E, row: 4706, expected_value: Total, label: employment type} + - {column: J, row: 4706, expected_value: Value, label: measure} + - {column: L, row: 4707, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4708 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4708, expected_value: E12000003, label: geography} + - {column: D, row: 4708, expected_value: Females, label: sex} + - {column: E, row: 4708, expected_value: Total, label: employment type} + - {column: J, row: 4708, expected_value: Value, label: measure} + - {column: L, row: 4709, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4710 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4710, expected_value: E12000003, label: geography} + - {column: D, row: 4710, expected_value: Females, label: sex} + - {column: E, row: 4710, expected_value: Total, label: employment type} + - {column: J, row: 4710, expected_value: Value, label: measure} + - {column: L, row: 4711, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4712 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4712, expected_value: E12000003, label: geography} + - {column: D, row: 4712, expected_value: Females, label: sex} + - {column: E, row: 4712, expected_value: Total, label: employment type} + - {column: J, row: 4712, expected_value: Value, label: measure} + - {column: L, row: 4713, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4714 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4714, expected_value: E12000003, label: geography} + - {column: D, row: 4714, expected_value: Females, label: sex} + - {column: E, row: 4714, expected_value: Total, label: employment type} + - {column: J, row: 4714, expected_value: Value, label: measure} + - {column: L, row: 4715, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4716 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4716, expected_value: E12000003, label: geography} + - {column: D, row: 4716, expected_value: Females, label: sex} + - {column: E, row: 4716, expected_value: Total, label: employment type} + - {column: J, row: 4716, expected_value: Value, label: measure} + - {column: L, row: 4717, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4718 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4718, expected_value: E12000003, label: geography} + - {column: D, row: 4718, expected_value: Females, label: sex} + - {column: E, row: 4718, expected_value: Total, label: employment type} + - {column: J, row: 4718, expected_value: Value, label: measure} + - {column: L, row: 4719, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 4720 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 4720, expected_value: E12000003, label: geography} + - {column: D, row: 4720, expected_value: Females, label: sex} + - {column: E, row: 4720, expected_value: Total, label: employment type} + - {column: J, row: 4720, expected_value: Value, label: measure} + - {column: L, row: 4721, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4722 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4722, expected_value: E12000003, label: geography} + - {column: D, row: 4722, expected_value: Females, label: sex} + - {column: E, row: 4722, expected_value: Total, label: employment type} + - {column: J, row: 4722, expected_value: Value, label: measure} + - {column: L, row: 4723, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4724 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4724, expected_value: E12000003, label: geography} + - {column: D, row: 4724, expected_value: Females, label: sex} + - {column: E, row: 4724, expected_value: Total, label: employment type} + - {column: J, row: 4724, expected_value: Value, label: measure} + - {column: L, row: 4725, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4726 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4726, expected_value: E12000003, label: geography} + - {column: D, row: 4726, expected_value: Females, label: sex} + - {column: E, row: 4726, expected_value: Total, label: employment type} + - {column: J, row: 4726, expected_value: Value, label: measure} + - {column: L, row: 4727, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4728 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4728, expected_value: E12000003, label: geography} + - {column: D, row: 4728, expected_value: Females, label: sex} + - {column: E, row: 4728, expected_value: Total, label: employment type} + - {column: J, row: 4728, expected_value: Value, label: measure} + - {column: L, row: 4729, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4730 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4730, expected_value: E12000003, label: geography} + - {column: D, row: 4730, expected_value: Females, label: sex} + - {column: E, row: 4730, expected_value: Total, label: employment type} + - {column: J, row: 4730, expected_value: Value, label: measure} + - {column: L, row: 4731, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4732 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4732, expected_value: E12000003, label: geography} + - {column: D, row: 4732, expected_value: Females, label: sex} + - {column: E, row: 4732, expected_value: Total, label: employment type} + - {column: J, row: 4732, expected_value: Value, label: measure} + - {column: L, row: 4733, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4734 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4734, expected_value: E12000003, label: geography} + - {column: D, row: 4734, expected_value: Females, label: sex} + - {column: E, row: 4734, expected_value: Total, label: employment type} + - {column: J, row: 4734, expected_value: Value, label: measure} + - {column: L, row: 4735, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4736 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4736, expected_value: E12000003, label: geography} + - {column: D, row: 4736, expected_value: Females, label: sex} + - {column: E, row: 4736, expected_value: Total, label: employment type} + - {column: J, row: 4736, expected_value: Value, label: measure} + - {column: L, row: 4737, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4738 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4738, expected_value: E12000003, label: geography} + - {column: D, row: 4738, expected_value: Females, label: sex} + - {column: E, row: 4738, expected_value: Total, label: employment type} + - {column: J, row: 4738, expected_value: Value, label: measure} + - {column: L, row: 4739, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4740 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4740, expected_value: E12000003, label: geography} + - {column: D, row: 4740, expected_value: Females, label: sex} + - {column: E, row: 4740, expected_value: Total, label: employment type} + - {column: J, row: 4740, expected_value: Value, label: measure} + - {column: L, row: 4741, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4742 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4742, expected_value: E12000003, label: geography} + - {column: D, row: 4742, expected_value: Females, label: sex} + - {column: E, row: 4742, expected_value: Total, label: employment type} + - {column: J, row: 4742, expected_value: Value, label: measure} + - {column: L, row: 4743, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4744 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4744, expected_value: E12000003, label: geography} + - {column: D, row: 4744, expected_value: Females, label: sex} + - {column: E, row: 4744, expected_value: Total, label: employment type} + - {column: J, row: 4744, expected_value: Value, label: measure} + - {column: L, row: 4745, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4746 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4746, expected_value: E12000003, label: geography} + - {column: D, row: 4746, expected_value: Females, label: sex} + - {column: E, row: 4746, expected_value: Total, label: employment type} + - {column: J, row: 4746, expected_value: Value, label: measure} + - {column: L, row: 4747, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4748 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4748, expected_value: E12000003, label: geography} + - {column: D, row: 4748, expected_value: Females, label: sex} + - {column: E, row: 4748, expected_value: Total, label: employment type} + - {column: J, row: 4748, expected_value: Value, label: measure} + - {column: L, row: 4749, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4750 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4750, expected_value: E12000003, label: geography} + - {column: D, row: 4750, expected_value: Females, label: sex} + - {column: E, row: 4750, expected_value: Total, label: employment type} + - {column: J, row: 4750, expected_value: Value, label: measure} + - {column: L, row: 4751, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4752 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4752, expected_value: E12000003, label: geography} + - {column: D, row: 4752, expected_value: Females, label: sex} + - {column: E, row: 4752, expected_value: Total, label: employment type} + - {column: J, row: 4752, expected_value: Value, label: measure} + - {column: L, row: 4753, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4683 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4683, expected_value: E12000003, label: geography} + - {column: D, row: 4683, expected_value: Females, label: sex} + - {column: E, row: 4683, expected_value: Total, label: employment type} + - {column: J, row: 4683, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4685 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4685, expected_value: E12000003, label: geography} + - {column: D, row: 4685, expected_value: Females, label: sex} + - {column: E, row: 4685, expected_value: Total, label: employment type} + - {column: J, row: 4685, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4687 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4687, expected_value: E12000003, label: geography} + - {column: D, row: 4687, expected_value: Females, label: sex} + - {column: E, row: 4687, expected_value: Total, label: employment type} + - {column: J, row: 4687, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4689 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4689, expected_value: E12000003, label: geography} + - {column: D, row: 4689, expected_value: Females, label: sex} + - {column: E, row: 4689, expected_value: Total, label: employment type} + - {column: J, row: 4689, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4691 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4691, expected_value: E12000003, label: geography} + - {column: D, row: 4691, expected_value: Females, label: sex} + - {column: E, row: 4691, expected_value: Total, label: employment type} + - {column: J, row: 4691, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4693 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4693, expected_value: E12000003, label: geography} + - {column: D, row: 4693, expected_value: Females, label: sex} + - {column: E, row: 4693, expected_value: Total, label: employment type} + - {column: J, row: 4693, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4695 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4695, expected_value: E12000003, label: geography} + - {column: D, row: 4695, expected_value: Females, label: sex} + - {column: E, row: 4695, expected_value: Total, label: employment type} + - {column: J, row: 4695, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4697 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4697, expected_value: E12000003, label: geography} + - {column: D, row: 4697, expected_value: Females, label: sex} + - {column: E, row: 4697, expected_value: Total, label: employment type} + - {column: J, row: 4697, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4699 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4699, expected_value: E12000003, label: geography} + - {column: D, row: 4699, expected_value: Females, label: sex} + - {column: E, row: 4699, expected_value: Total, label: employment type} + - {column: J, row: 4699, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4701 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4701, expected_value: E12000003, label: geography} + - {column: D, row: 4701, expected_value: Females, label: sex} + - {column: E, row: 4701, expected_value: Total, label: employment type} + - {column: J, row: 4701, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4703 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4703, expected_value: E12000003, label: geography} + - {column: D, row: 4703, expected_value: Females, label: sex} + - {column: E, row: 4703, expected_value: Total, label: employment type} + - {column: J, row: 4703, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4705 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4705, expected_value: E12000003, label: geography} + - {column: D, row: 4705, expected_value: Females, label: sex} + - {column: E, row: 4705, expected_value: Total, label: employment type} + - {column: J, row: 4705, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4707 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4707, expected_value: E12000003, label: geography} + - {column: D, row: 4707, expected_value: Females, label: sex} + - {column: E, row: 4707, expected_value: Total, label: employment type} + - {column: J, row: 4707, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4709 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4709, expected_value: E12000003, label: geography} + - {column: D, row: 4709, expected_value: Females, label: sex} + - {column: E, row: 4709, expected_value: Total, label: employment type} + - {column: J, row: 4709, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4711 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4711, expected_value: E12000003, label: geography} + - {column: D, row: 4711, expected_value: Females, label: sex} + - {column: E, row: 4711, expected_value: Total, label: employment type} + - {column: J, row: 4711, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4713 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4713, expected_value: E12000003, label: geography} + - {column: D, row: 4713, expected_value: Females, label: sex} + - {column: E, row: 4713, expected_value: Total, label: employment type} + - {column: J, row: 4713, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4715 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4715, expected_value: E12000003, label: geography} + - {column: D, row: 4715, expected_value: Females, label: sex} + - {column: E, row: 4715, expected_value: Total, label: employment type} + - {column: J, row: 4715, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4717 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4717, expected_value: E12000003, label: geography} + - {column: D, row: 4717, expected_value: Females, label: sex} + - {column: E, row: 4717, expected_value: Total, label: employment type} + - {column: J, row: 4717, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4719 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4719, expected_value: E12000003, label: geography} + - {column: D, row: 4719, expected_value: Females, label: sex} + - {column: E, row: 4719, expected_value: Total, label: employment type} + - {column: J, row: 4719, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4727 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4727, expected_value: E12000003, label: geography} + - {column: D, row: 4727, expected_value: Females, label: sex} + - {column: E, row: 4727, expected_value: Total, label: employment type} + - {column: J, row: 4727, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4729 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4729, expected_value: E12000003, label: geography} + - {column: D, row: 4729, expected_value: Females, label: sex} + - {column: E, row: 4729, expected_value: Total, label: employment type} + - {column: J, row: 4729, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4731 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4731, expected_value: E12000003, label: geography} + - {column: D, row: 4731, expected_value: Females, label: sex} + - {column: E, row: 4731, expected_value: Total, label: employment type} + - {column: J, row: 4731, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4733 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4733, expected_value: E12000003, label: geography} + - {column: D, row: 4733, expected_value: Females, label: sex} + - {column: E, row: 4733, expected_value: Total, label: employment type} + - {column: J, row: 4733, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4737 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4737, expected_value: E12000003, label: geography} + - {column: D, row: 4737, expected_value: Females, label: sex} + - {column: E, row: 4737, expected_value: Total, label: employment type} + - {column: J, row: 4737, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4739 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4739, expected_value: E12000003, label: geography} + - {column: D, row: 4739, expected_value: Females, label: sex} + - {column: E, row: 4739, expected_value: Total, label: employment type} + - {column: J, row: 4739, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4741 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4741, expected_value: E12000003, label: geography} + - {column: D, row: 4741, expected_value: Females, label: sex} + - {column: E, row: 4741, expected_value: Total, label: employment type} + - {column: J, row: 4741, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4743 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4743, expected_value: E12000003, label: geography} + - {column: D, row: 4743, expected_value: Females, label: sex} + - {column: E, row: 4743, expected_value: Total, label: employment type} + - {column: J, row: 4743, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4745 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4745, expected_value: E12000003, label: geography} + - {column: D, row: 4745, expected_value: Females, label: sex} + - {column: E, row: 4745, expected_value: Total, label: employment type} + - {column: J, row: 4745, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4747 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4747, expected_value: E12000003, label: geography} + - {column: D, row: 4747, expected_value: Females, label: sex} + - {column: E, row: 4747, expected_value: Total, label: employment type} + - {column: J, row: 4747, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4749 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4749, expected_value: E12000003, label: geography} + - {column: D, row: 4749, expected_value: Females, label: sex} + - {column: E, row: 4749, expected_value: Total, label: employment type} + - {column: J, row: 4749, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4751 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4751, expected_value: E12000003, label: geography} + - {column: D, row: 4751, expected_value: Females, label: sex} + - {column: E, row: 4751, expected_value: Total, label: employment type} + - {column: J, row: 4751, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4753 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4753, expected_value: E12000003, label: geography} + - {column: D, row: 4753, expected_value: Females, label: sex} + - {column: E, row: 4753, expected_value: Total, label: employment type} + - {column: J, row: 4753, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4898 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4898, expected_value: E12000003, label: geography} + - {column: D, row: 4898, expected_value: Females, label: sex} + - {column: E, row: 4898, expected_value: Employee, label: employment type} + - {column: J, row: 4898, expected_value: Value, label: measure} + - {column: L, row: 4899, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4900 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4900, expected_value: E12000003, label: geography} + - {column: D, row: 4900, expected_value: Females, label: sex} + - {column: E, row: 4900, expected_value: Employee, label: employment type} + - {column: J, row: 4900, expected_value: Value, label: measure} + - {column: L, row: 4901, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4902 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4902, expected_value: E12000003, label: geography} + - {column: D, row: 4902, expected_value: Females, label: sex} + - {column: E, row: 4902, expected_value: Employee, label: employment type} + - {column: J, row: 4902, expected_value: Value, label: measure} + - {column: L, row: 4903, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4904 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4904, expected_value: E12000003, label: geography} + - {column: D, row: 4904, expected_value: Females, label: sex} + - {column: E, row: 4904, expected_value: Employee, label: employment type} + - {column: J, row: 4904, expected_value: Value, label: measure} + - {column: L, row: 4905, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4906 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4906, expected_value: E12000003, label: geography} + - {column: D, row: 4906, expected_value: Females, label: sex} + - {column: E, row: 4906, expected_value: Employee, label: employment type} + - {column: J, row: 4906, expected_value: Value, label: measure} + - {column: L, row: 4907, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4908 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4908, expected_value: E12000003, label: geography} + - {column: D, row: 4908, expected_value: Females, label: sex} + - {column: E, row: 4908, expected_value: Employee, label: employment type} + - {column: J, row: 4908, expected_value: Value, label: measure} + - {column: L, row: 4909, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4910 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4910, expected_value: E12000003, label: geography} + - {column: D, row: 4910, expected_value: Females, label: sex} + - {column: E, row: 4910, expected_value: Employee, label: employment type} + - {column: J, row: 4910, expected_value: Value, label: measure} + - {column: L, row: 4911, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4912 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4912, expected_value: E12000003, label: geography} + - {column: D, row: 4912, expected_value: Females, label: sex} + - {column: E, row: 4912, expected_value: Employee, label: employment type} + - {column: J, row: 4912, expected_value: Value, label: measure} + - {column: L, row: 4913, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4914 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4914, expected_value: E12000003, label: geography} + - {column: D, row: 4914, expected_value: Females, label: sex} + - {column: E, row: 4914, expected_value: Employee, label: employment type} + - {column: J, row: 4914, expected_value: Value, label: measure} + - {column: L, row: 4915, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4916 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4916, expected_value: E12000003, label: geography} + - {column: D, row: 4916, expected_value: Females, label: sex} + - {column: E, row: 4916, expected_value: Employee, label: employment type} + - {column: J, row: 4916, expected_value: Value, label: measure} + - {column: L, row: 4917, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4918 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4918, expected_value: E12000003, label: geography} + - {column: D, row: 4918, expected_value: Females, label: sex} + - {column: E, row: 4918, expected_value: Employee, label: employment type} + - {column: J, row: 4918, expected_value: Value, label: measure} + - {column: L, row: 4919, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4920 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4920, expected_value: E12000003, label: geography} + - {column: D, row: 4920, expected_value: Females, label: sex} + - {column: E, row: 4920, expected_value: Employee, label: employment type} + - {column: J, row: 4920, expected_value: Value, label: measure} + - {column: L, row: 4921, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4922 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4922, expected_value: E12000003, label: geography} + - {column: D, row: 4922, expected_value: Females, label: sex} + - {column: E, row: 4922, expected_value: Employee, label: employment type} + - {column: J, row: 4922, expected_value: Value, label: measure} + - {column: L, row: 4923, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4924 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4924, expected_value: E12000003, label: geography} + - {column: D, row: 4924, expected_value: Females, label: sex} + - {column: E, row: 4924, expected_value: Employee, label: employment type} + - {column: J, row: 4924, expected_value: Value, label: measure} + - {column: L, row: 4925, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4926 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4926, expected_value: E12000003, label: geography} + - {column: D, row: 4926, expected_value: Females, label: sex} + - {column: E, row: 4926, expected_value: Employee, label: employment type} + - {column: J, row: 4926, expected_value: Value, label: measure} + - {column: L, row: 4927, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4928 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4928, expected_value: E12000003, label: geography} + - {column: D, row: 4928, expected_value: Females, label: sex} + - {column: E, row: 4928, expected_value: Employee, label: employment type} + - {column: J, row: 4928, expected_value: Value, label: measure} + - {column: L, row: 4929, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4930 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4930, expected_value: E12000003, label: geography} + - {column: D, row: 4930, expected_value: Females, label: sex} + - {column: E, row: 4930, expected_value: Employee, label: employment type} + - {column: J, row: 4930, expected_value: Value, label: measure} + - {column: L, row: 4931, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4932 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4932, expected_value: E12000003, label: geography} + - {column: D, row: 4932, expected_value: Females, label: sex} + - {column: E, row: 4932, expected_value: Employee, label: employment type} + - {column: J, row: 4932, expected_value: Value, label: measure} + - {column: L, row: 4933, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4934 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4934, expected_value: E12000003, label: geography} + - {column: D, row: 4934, expected_value: Females, label: sex} + - {column: E, row: 4934, expected_value: Employee, label: employment type} + - {column: J, row: 4934, expected_value: Value, label: measure} + - {column: L, row: 4935, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 4938 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 4938, expected_value: E12000003, label: geography} + - {column: D, row: 4938, expected_value: Females, label: sex} + - {column: E, row: 4938, expected_value: Employee, label: employment type} + - {column: J, row: 4938, expected_value: Value, label: measure} + - {column: L, row: 4939, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 4940 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 4940, expected_value: E12000003, label: geography} + - {column: D, row: 4940, expected_value: Females, label: sex} + - {column: E, row: 4940, expected_value: Employee, label: employment type} + - {column: J, row: 4940, expected_value: Value, label: measure} + - {column: L, row: 4941, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4942 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4942, expected_value: E12000003, label: geography} + - {column: D, row: 4942, expected_value: Females, label: sex} + - {column: E, row: 4942, expected_value: Employee, label: employment type} + - {column: J, row: 4942, expected_value: Value, label: measure} + - {column: L, row: 4943, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4944 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4944, expected_value: E12000003, label: geography} + - {column: D, row: 4944, expected_value: Females, label: sex} + - {column: E, row: 4944, expected_value: Employee, label: employment type} + - {column: J, row: 4944, expected_value: Value, label: measure} + - {column: L, row: 4945, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4946 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4946, expected_value: E12000003, label: geography} + - {column: D, row: 4946, expected_value: Females, label: sex} + - {column: E, row: 4946, expected_value: Employee, label: employment type} + - {column: J, row: 4946, expected_value: Value, label: measure} + - {column: L, row: 4947, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4948 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4948, expected_value: E12000003, label: geography} + - {column: D, row: 4948, expected_value: Females, label: sex} + - {column: E, row: 4948, expected_value: Employee, label: employment type} + - {column: J, row: 4948, expected_value: Value, label: measure} + - {column: L, row: 4949, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 4950 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 4950, expected_value: E12000003, label: geography} + - {column: D, row: 4950, expected_value: Females, label: sex} + - {column: E, row: 4950, expected_value: Employee, label: employment type} + - {column: J, row: 4950, expected_value: Value, label: measure} + - {column: L, row: 4951, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4952 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4952, expected_value: E12000003, label: geography} + - {column: D, row: 4952, expected_value: Females, label: sex} + - {column: E, row: 4952, expected_value: Employee, label: employment type} + - {column: J, row: 4952, expected_value: Value, label: measure} + - {column: L, row: 4953, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4954 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4954, expected_value: E12000003, label: geography} + - {column: D, row: 4954, expected_value: Females, label: sex} + - {column: E, row: 4954, expected_value: Employee, label: employment type} + - {column: J, row: 4954, expected_value: Value, label: measure} + - {column: L, row: 4955, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4956 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4956, expected_value: E12000003, label: geography} + - {column: D, row: 4956, expected_value: Females, label: sex} + - {column: E, row: 4956, expected_value: Employee, label: employment type} + - {column: J, row: 4956, expected_value: Value, label: measure} + - {column: L, row: 4957, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4958 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4958, expected_value: E12000003, label: geography} + - {column: D, row: 4958, expected_value: Females, label: sex} + - {column: E, row: 4958, expected_value: Employee, label: employment type} + - {column: J, row: 4958, expected_value: Value, label: measure} + - {column: L, row: 4959, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4960 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4960, expected_value: E12000003, label: geography} + - {column: D, row: 4960, expected_value: Females, label: sex} + - {column: E, row: 4960, expected_value: Employee, label: employment type} + - {column: J, row: 4960, expected_value: Value, label: measure} + - {column: L, row: 4961, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4962 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4962, expected_value: E12000003, label: geography} + - {column: D, row: 4962, expected_value: Females, label: sex} + - {column: E, row: 4962, expected_value: Employee, label: employment type} + - {column: J, row: 4962, expected_value: Value, label: measure} + - {column: L, row: 4963, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4964 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4964, expected_value: E12000003, label: geography} + - {column: D, row: 4964, expected_value: Females, label: sex} + - {column: E, row: 4964, expected_value: Employee, label: employment type} + - {column: J, row: 4964, expected_value: Value, label: measure} + - {column: L, row: 4965, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4966 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4966, expected_value: E12000003, label: geography} + - {column: D, row: 4966, expected_value: Females, label: sex} + - {column: E, row: 4966, expected_value: Employee, label: employment type} + - {column: J, row: 4966, expected_value: Value, label: measure} + - {column: L, row: 4967, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4968 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4968, expected_value: E12000003, label: geography} + - {column: D, row: 4968, expected_value: Females, label: sex} + - {column: E, row: 4968, expected_value: Employee, label: employment type} + - {column: J, row: 4968, expected_value: Value, label: measure} + - {column: L, row: 4969, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 4899 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 4899, expected_value: E12000003, label: geography} + - {column: D, row: 4899, expected_value: Females, label: sex} + - {column: E, row: 4899, expected_value: Employee, label: employment type} + - {column: J, row: 4899, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 4901 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 4901, expected_value: E12000003, label: geography} + - {column: D, row: 4901, expected_value: Females, label: sex} + - {column: E, row: 4901, expected_value: Employee, label: employment type} + - {column: J, row: 4901, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 4903 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 4903, expected_value: E12000003, label: geography} + - {column: D, row: 4903, expected_value: Females, label: sex} + - {column: E, row: 4903, expected_value: Employee, label: employment type} + - {column: J, row: 4903, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 4905 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 4905, expected_value: E12000003, label: geography} + - {column: D, row: 4905, expected_value: Females, label: sex} + - {column: E, row: 4905, expected_value: Employee, label: employment type} + - {column: J, row: 4905, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 4907 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 4907, expected_value: E12000003, label: geography} + - {column: D, row: 4907, expected_value: Females, label: sex} + - {column: E, row: 4907, expected_value: Employee, label: employment type} + - {column: J, row: 4907, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 4909 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 4909, expected_value: E12000003, label: geography} + - {column: D, row: 4909, expected_value: Females, label: sex} + - {column: E, row: 4909, expected_value: Employee, label: employment type} + - {column: J, row: 4909, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 4911 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 4911, expected_value: E12000003, label: geography} + - {column: D, row: 4911, expected_value: Females, label: sex} + - {column: E, row: 4911, expected_value: Employee, label: employment type} + - {column: J, row: 4911, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 4913 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 4913, expected_value: E12000003, label: geography} + - {column: D, row: 4913, expected_value: Females, label: sex} + - {column: E, row: 4913, expected_value: Employee, label: employment type} + - {column: J, row: 4913, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 4915 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 4915, expected_value: E12000003, label: geography} + - {column: D, row: 4915, expected_value: Females, label: sex} + - {column: E, row: 4915, expected_value: Employee, label: employment type} + - {column: J, row: 4915, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 4917 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 4917, expected_value: E12000003, label: geography} + - {column: D, row: 4917, expected_value: Females, label: sex} + - {column: E, row: 4917, expected_value: Employee, label: employment type} + - {column: J, row: 4917, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 4919 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 4919, expected_value: E12000003, label: geography} + - {column: D, row: 4919, expected_value: Females, label: sex} + - {column: E, row: 4919, expected_value: Employee, label: employment type} + - {column: J, row: 4919, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 4921 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 4921, expected_value: E12000003, label: geography} + - {column: D, row: 4921, expected_value: Females, label: sex} + - {column: E, row: 4921, expected_value: Employee, label: employment type} + - {column: J, row: 4921, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 4923 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 4923, expected_value: E12000003, label: geography} + - {column: D, row: 4923, expected_value: Females, label: sex} + - {column: E, row: 4923, expected_value: Employee, label: employment type} + - {column: J, row: 4923, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 4925 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 4925, expected_value: E12000003, label: geography} + - {column: D, row: 4925, expected_value: Females, label: sex} + - {column: E, row: 4925, expected_value: Employee, label: employment type} + - {column: J, row: 4925, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 4927 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 4927, expected_value: E12000003, label: geography} + - {column: D, row: 4927, expected_value: Females, label: sex} + - {column: E, row: 4927, expected_value: Employee, label: employment type} + - {column: J, row: 4927, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 4929 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 4929, expected_value: E12000003, label: geography} + - {column: D, row: 4929, expected_value: Females, label: sex} + - {column: E, row: 4929, expected_value: Employee, label: employment type} + - {column: J, row: 4929, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 4931 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 4931, expected_value: E12000003, label: geography} + - {column: D, row: 4931, expected_value: Females, label: sex} + - {column: E, row: 4931, expected_value: Employee, label: employment type} + - {column: J, row: 4931, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 4933 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 4933, expected_value: E12000003, label: geography} + - {column: D, row: 4933, expected_value: Females, label: sex} + - {column: E, row: 4933, expected_value: Employee, label: employment type} + - {column: J, row: 4933, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 4935 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 4935, expected_value: E12000003, label: geography} + - {column: D, row: 4935, expected_value: Females, label: sex} + - {column: E, row: 4935, expected_value: Employee, label: employment type} + - {column: J, row: 4935, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 4943 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 4943, expected_value: E12000003, label: geography} + - {column: D, row: 4943, expected_value: Females, label: sex} + - {column: E, row: 4943, expected_value: Employee, label: employment type} + - {column: J, row: 4943, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 4945 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 4945, expected_value: E12000003, label: geography} + - {column: D, row: 4945, expected_value: Females, label: sex} + - {column: E, row: 4945, expected_value: Employee, label: employment type} + - {column: J, row: 4945, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 4947 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 4947, expected_value: E12000003, label: geography} + - {column: D, row: 4947, expected_value: Females, label: sex} + - {column: E, row: 4947, expected_value: Employee, label: employment type} + - {column: J, row: 4947, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 4949 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 4949, expected_value: E12000003, label: geography} + - {column: D, row: 4949, expected_value: Females, label: sex} + - {column: E, row: 4949, expected_value: Employee, label: employment type} + - {column: J, row: 4949, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 4953 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 4953, expected_value: E12000003, label: geography} + - {column: D, row: 4953, expected_value: Females, label: sex} + - {column: E, row: 4953, expected_value: Employee, label: employment type} + - {column: J, row: 4953, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 4955 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 4955, expected_value: E12000003, label: geography} + - {column: D, row: 4955, expected_value: Females, label: sex} + - {column: E, row: 4955, expected_value: Employee, label: employment type} + - {column: J, row: 4955, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 4957 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 4957, expected_value: E12000003, label: geography} + - {column: D, row: 4957, expected_value: Females, label: sex} + - {column: E, row: 4957, expected_value: Employee, label: employment type} + - {column: J, row: 4957, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 4959 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 4959, expected_value: E12000003, label: geography} + - {column: D, row: 4959, expected_value: Females, label: sex} + - {column: E, row: 4959, expected_value: Employee, label: employment type} + - {column: J, row: 4959, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 4961 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 4961, expected_value: E12000003, label: geography} + - {column: D, row: 4961, expected_value: Females, label: sex} + - {column: E, row: 4961, expected_value: Employee, label: employment type} + - {column: J, row: 4961, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 4963 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 4963, expected_value: E12000003, label: geography} + - {column: D, row: 4963, expected_value: Females, label: sex} + - {column: E, row: 4963, expected_value: Employee, label: employment type} + - {column: J, row: 4963, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 4965 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 4965, expected_value: E12000003, label: geography} + - {column: D, row: 4965, expected_value: Females, label: sex} + - {column: E, row: 4965, expected_value: Employee, label: employment type} + - {column: J, row: 4965, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 4967 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 4967, expected_value: E12000003, label: geography} + - {column: D, row: 4967, expected_value: Females, label: sex} + - {column: E, row: 4967, expected_value: Employee, label: employment type} + - {column: J, row: 4967, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 4969 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 4969, expected_value: E12000003, label: geography} + - {column: D, row: 4969, expected_value: Females, label: sex} + - {column: E, row: 4969, expected_value: Employee, label: employment type} + - {column: J, row: 4969, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5114 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5114, expected_value: E12000003, label: geography} + - {column: D, row: 5114, expected_value: Females, label: sex} + - {column: E, row: 5114, expected_value: Self-employed, label: employment type} + - {column: J, row: 5114, expected_value: Value, label: measure} + - {column: L, row: 5115, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5116 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5116, expected_value: E12000003, label: geography} + - {column: D, row: 5116, expected_value: Females, label: sex} + - {column: E, row: 5116, expected_value: Self-employed, label: employment type} + - {column: J, row: 5116, expected_value: Value, label: measure} + - {column: L, row: 5117, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5118 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5118, expected_value: E12000003, label: geography} + - {column: D, row: 5118, expected_value: Females, label: sex} + - {column: E, row: 5118, expected_value: Self-employed, label: employment type} + - {column: J, row: 5118, expected_value: Value, label: measure} + - {column: L, row: 5119, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5120 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5120, expected_value: E12000003, label: geography} + - {column: D, row: 5120, expected_value: Females, label: sex} + - {column: E, row: 5120, expected_value: Self-employed, label: employment type} + - {column: J, row: 5120, expected_value: Value, label: measure} + - {column: L, row: 5121, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5122 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5122, expected_value: E12000003, label: geography} + - {column: D, row: 5122, expected_value: Females, label: sex} + - {column: E, row: 5122, expected_value: Self-employed, label: employment type} + - {column: J, row: 5122, expected_value: Value, label: measure} + - {column: L, row: 5123, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5124 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5124, expected_value: E12000003, label: geography} + - {column: D, row: 5124, expected_value: Females, label: sex} + - {column: E, row: 5124, expected_value: Self-employed, label: employment type} + - {column: J, row: 5124, expected_value: Value, label: measure} + - {column: L, row: 5125, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5126 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5126, expected_value: E12000003, label: geography} + - {column: D, row: 5126, expected_value: Females, label: sex} + - {column: E, row: 5126, expected_value: Self-employed, label: employment type} + - {column: J, row: 5126, expected_value: Value, label: measure} + - {column: L, row: 5127, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5128 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5128, expected_value: E12000003, label: geography} + - {column: D, row: 5128, expected_value: Females, label: sex} + - {column: E, row: 5128, expected_value: Self-employed, label: employment type} + - {column: J, row: 5128, expected_value: Value, label: measure} + - {column: L, row: 5129, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5130 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5130, expected_value: E12000003, label: geography} + - {column: D, row: 5130, expected_value: Females, label: sex} + - {column: E, row: 5130, expected_value: Self-employed, label: employment type} + - {column: J, row: 5130, expected_value: Value, label: measure} + - {column: L, row: 5131, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5132 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5132, expected_value: E12000003, label: geography} + - {column: D, row: 5132, expected_value: Females, label: sex} + - {column: E, row: 5132, expected_value: Self-employed, label: employment type} + - {column: J, row: 5132, expected_value: Value, label: measure} + - {column: L, row: 5133, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5136 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5136, expected_value: E12000003, label: geography} + - {column: D, row: 5136, expected_value: Females, label: sex} + - {column: E, row: 5136, expected_value: Self-employed, label: employment type} + - {column: J, row: 5136, expected_value: Value, label: measure} + - {column: L, row: 5137, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5140 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5140, expected_value: E12000003, label: geography} + - {column: D, row: 5140, expected_value: Females, label: sex} + - {column: E, row: 5140, expected_value: Self-employed, label: employment type} + - {column: J, row: 5140, expected_value: Value, label: measure} + - {column: L, row: 5141, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5142 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5142, expected_value: E12000003, label: geography} + - {column: D, row: 5142, expected_value: Females, label: sex} + - {column: E, row: 5142, expected_value: Self-employed, label: employment type} + - {column: J, row: 5142, expected_value: Value, label: measure} + - {column: L, row: 5143, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5144 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5144, expected_value: E12000003, label: geography} + - {column: D, row: 5144, expected_value: Females, label: sex} + - {column: E, row: 5144, expected_value: Self-employed, label: employment type} + - {column: J, row: 5144, expected_value: Value, label: measure} + - {column: L, row: 5145, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5146 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5146, expected_value: E12000003, label: geography} + - {column: D, row: 5146, expected_value: Females, label: sex} + - {column: E, row: 5146, expected_value: Self-employed, label: employment type} + - {column: J, row: 5146, expected_value: Value, label: measure} + - {column: L, row: 5147, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5148 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5148, expected_value: E12000003, label: geography} + - {column: D, row: 5148, expected_value: Females, label: sex} + - {column: E, row: 5148, expected_value: Self-employed, label: employment type} + - {column: J, row: 5148, expected_value: Value, label: measure} + - {column: L, row: 5149, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5150 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5150, expected_value: E12000003, label: geography} + - {column: D, row: 5150, expected_value: Females, label: sex} + - {column: E, row: 5150, expected_value: Self-employed, label: employment type} + - {column: J, row: 5150, expected_value: Value, label: measure} + - {column: L, row: 5151, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5152 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5152, expected_value: E12000003, label: geography} + - {column: D, row: 5152, expected_value: Females, label: sex} + - {column: E, row: 5152, expected_value: Self-employed, label: employment type} + - {column: J, row: 5152, expected_value: Value, label: measure} + - {column: L, row: 5153, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5156 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5156, expected_value: E12000003, label: geography} + - {column: D, row: 5156, expected_value: Females, label: sex} + - {column: E, row: 5156, expected_value: Self-employed, label: employment type} + - {column: J, row: 5156, expected_value: Value, label: measure} + - {column: L, row: 5157, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5158 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5158, expected_value: E12000003, label: geography} + - {column: D, row: 5158, expected_value: Females, label: sex} + - {column: E, row: 5158, expected_value: Self-employed, label: employment type} + - {column: J, row: 5158, expected_value: Value, label: measure} + - {column: L, row: 5159, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5160 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5160, expected_value: E12000003, label: geography} + - {column: D, row: 5160, expected_value: Females, label: sex} + - {column: E, row: 5160, expected_value: Self-employed, label: employment type} + - {column: J, row: 5160, expected_value: Value, label: measure} + - {column: L, row: 5161, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5162 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5162, expected_value: E12000003, label: geography} + - {column: D, row: 5162, expected_value: Females, label: sex} + - {column: E, row: 5162, expected_value: Self-employed, label: employment type} + - {column: J, row: 5162, expected_value: Value, label: measure} + - {column: L, row: 5163, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5164 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5164, expected_value: E12000003, label: geography} + - {column: D, row: 5164, expected_value: Females, label: sex} + - {column: E, row: 5164, expected_value: Self-employed, label: employment type} + - {column: J, row: 5164, expected_value: Value, label: measure} + - {column: L, row: 5165, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5168 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5168, expected_value: E12000003, label: geography} + - {column: D, row: 5168, expected_value: Females, label: sex} + - {column: E, row: 5168, expected_value: Self-employed, label: employment type} + - {column: J, row: 5168, expected_value: Value, label: measure} + - {column: L, row: 5169, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5170 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5170, expected_value: E12000003, label: geography} + - {column: D, row: 5170, expected_value: Females, label: sex} + - {column: E, row: 5170, expected_value: Self-employed, label: employment type} + - {column: J, row: 5170, expected_value: Value, label: measure} + - {column: L, row: 5171, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5174 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5174, expected_value: E12000003, label: geography} + - {column: D, row: 5174, expected_value: Females, label: sex} + - {column: E, row: 5174, expected_value: Self-employed, label: employment type} + - {column: J, row: 5174, expected_value: Value, label: measure} + - {column: L, row: 5175, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5176 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5176, expected_value: E12000003, label: geography} + - {column: D, row: 5176, expected_value: Females, label: sex} + - {column: E, row: 5176, expected_value: Self-employed, label: employment type} + - {column: J, row: 5176, expected_value: Value, label: measure} + - {column: L, row: 5177, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5178 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5178, expected_value: E12000003, label: geography} + - {column: D, row: 5178, expected_value: Females, label: sex} + - {column: E, row: 5178, expected_value: Self-employed, label: employment type} + - {column: J, row: 5178, expected_value: Value, label: measure} + - {column: L, row: 5179, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5180 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5180, expected_value: E12000003, label: geography} + - {column: D, row: 5180, expected_value: Females, label: sex} + - {column: E, row: 5180, expected_value: Self-employed, label: employment type} + - {column: J, row: 5180, expected_value: Value, label: measure} + - {column: L, row: 5181, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5184 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5184, expected_value: E12000003, label: geography} + - {column: D, row: 5184, expected_value: Females, label: sex} + - {column: E, row: 5184, expected_value: Self-employed, label: employment type} + - {column: J, row: 5184, expected_value: Value, label: measure} + - {column: L, row: 5185, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000003.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000003.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000003.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000003 + geography_level: region + geography_name: Yorkshire and The Humber + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5115 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5115, expected_value: E12000003, label: geography} + - {column: D, row: 5115, expected_value: Females, label: sex} + - {column: E, row: 5115, expected_value: Self-employed, label: employment type} + - {column: J, row: 5115, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5117 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5117, expected_value: E12000003, label: geography} + - {column: D, row: 5117, expected_value: Females, label: sex} + - {column: E, row: 5117, expected_value: Self-employed, label: employment type} + - {column: J, row: 5117, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5119 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5119, expected_value: E12000003, label: geography} + - {column: D, row: 5119, expected_value: Females, label: sex} + - {column: E, row: 5119, expected_value: Self-employed, label: employment type} + - {column: J, row: 5119, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5121 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5121, expected_value: E12000003, label: geography} + - {column: D, row: 5121, expected_value: Females, label: sex} + - {column: E, row: 5121, expected_value: Self-employed, label: employment type} + - {column: J, row: 5121, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5123 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5123, expected_value: E12000003, label: geography} + - {column: D, row: 5123, expected_value: Females, label: sex} + - {column: E, row: 5123, expected_value: Self-employed, label: employment type} + - {column: J, row: 5123, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5127 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5127, expected_value: E12000003, label: geography} + - {column: D, row: 5127, expected_value: Females, label: sex} + - {column: E, row: 5127, expected_value: Self-employed, label: employment type} + - {column: J, row: 5127, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5129 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5129, expected_value: E12000003, label: geography} + - {column: D, row: 5129, expected_value: Females, label: sex} + - {column: E, row: 5129, expected_value: Self-employed, label: employment type} + - {column: J, row: 5129, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5131 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5131, expected_value: E12000003, label: geography} + - {column: D, row: 5131, expected_value: Females, label: sex} + - {column: E, row: 5131, expected_value: Self-employed, label: employment type} + - {column: J, row: 5131, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5133 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5133, expected_value: E12000003, label: geography} + - {column: D, row: 5133, expected_value: Females, label: sex} + - {column: E, row: 5133, expected_value: Self-employed, label: employment type} + - {column: J, row: 5133, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5137 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5137, expected_value: E12000003, label: geography} + - {column: D, row: 5137, expected_value: Females, label: sex} + - {column: E, row: 5137, expected_value: Self-employed, label: employment type} + - {column: J, row: 5137, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5141 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5141, expected_value: E12000003, label: geography} + - {column: D, row: 5141, expected_value: Females, label: sex} + - {column: E, row: 5141, expected_value: Self-employed, label: employment type} + - {column: J, row: 5141, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5143 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5143, expected_value: E12000003, label: geography} + - {column: D, row: 5143, expected_value: Females, label: sex} + - {column: E, row: 5143, expected_value: Self-employed, label: employment type} + - {column: J, row: 5143, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5145 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5145, expected_value: E12000003, label: geography} + - {column: D, row: 5145, expected_value: Females, label: sex} + - {column: E, row: 5145, expected_value: Self-employed, label: employment type} + - {column: J, row: 5145, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5147 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5147, expected_value: E12000003, label: geography} + - {column: D, row: 5147, expected_value: Females, label: sex} + - {column: E, row: 5147, expected_value: Self-employed, label: employment type} + - {column: J, row: 5147, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5151 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5151, expected_value: E12000003, label: geography} + - {column: D, row: 5151, expected_value: Females, label: sex} + - {column: E, row: 5151, expected_value: Self-employed, label: employment type} + - {column: J, row: 5151, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5159 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5159, expected_value: E12000003, label: geography} + - {column: D, row: 5159, expected_value: Females, label: sex} + - {column: E, row: 5159, expected_value: Self-employed, label: employment type} + - {column: J, row: 5159, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5161 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5161, expected_value: E12000003, label: geography} + - {column: D, row: 5161, expected_value: Females, label: sex} + - {column: E, row: 5161, expected_value: Self-employed, label: employment type} + - {column: J, row: 5161, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5163 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5163, expected_value: E12000003, label: geography} + - {column: D, row: 5163, expected_value: Females, label: sex} + - {column: E, row: 5163, expected_value: Self-employed, label: employment type} + - {column: J, row: 5163, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5165 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5165, expected_value: E12000003, label: geography} + - {column: D, row: 5165, expected_value: Females, label: sex} + - {column: E, row: 5165, expected_value: Self-employed, label: employment type} + - {column: J, row: 5165, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5169 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5169, expected_value: E12000003, label: geography} + - {column: D, row: 5169, expected_value: Females, label: sex} + - {column: E, row: 5169, expected_value: Self-employed, label: employment type} + - {column: J, row: 5169, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5171 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5171, expected_value: E12000003, label: geography} + - {column: D, row: 5171, expected_value: Females, label: sex} + - {column: E, row: 5171, expected_value: Self-employed, label: employment type} + - {column: J, row: 5171, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5175 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5175, expected_value: E12000003, label: geography} + - {column: D, row: 5175, expected_value: Females, label: sex} + - {column: E, row: 5175, expected_value: Self-employed, label: employment type} + - {column: J, row: 5175, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5179 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5179, expected_value: E12000003, label: geography} + - {column: D, row: 5179, expected_value: Females, label: sex} + - {column: E, row: 5179, expected_value: Self-employed, label: employment type} + - {column: J, row: 5179, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5181 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5181, expected_value: E12000003, label: geography} + - {column: D, row: 5181, expected_value: Females, label: sex} + - {column: E, row: 5181, expected_value: Self-employed, label: employment type} + - {column: J, row: 5181, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5185 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5185, expected_value: E12000003, label: geography} + - {column: D, row: 5185, expected_value: Females, label: sex} + - {column: E, row: 5185, expected_value: Self-employed, label: employment type} + - {column: J, row: 5185, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5186 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5186, expected_value: E12000004, label: geography} + - {column: D, row: 5186, expected_value: All persons, label: sex} + - {column: E, row: 5186, expected_value: Total, label: employment type} + - {column: J, row: 5186, expected_value: Value, label: measure} + - {column: L, row: 5187, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5188 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5188, expected_value: E12000004, label: geography} + - {column: D, row: 5188, expected_value: All persons, label: sex} + - {column: E, row: 5188, expected_value: Total, label: employment type} + - {column: J, row: 5188, expected_value: Value, label: measure} + - {column: L, row: 5189, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5190 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5190, expected_value: E12000004, label: geography} + - {column: D, row: 5190, expected_value: All persons, label: sex} + - {column: E, row: 5190, expected_value: Total, label: employment type} + - {column: J, row: 5190, expected_value: Value, label: measure} + - {column: L, row: 5191, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5192 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5192, expected_value: E12000004, label: geography} + - {column: D, row: 5192, expected_value: All persons, label: sex} + - {column: E, row: 5192, expected_value: Total, label: employment type} + - {column: J, row: 5192, expected_value: Value, label: measure} + - {column: L, row: 5193, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5194 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5194, expected_value: E12000004, label: geography} + - {column: D, row: 5194, expected_value: All persons, label: sex} + - {column: E, row: 5194, expected_value: Total, label: employment type} + - {column: J, row: 5194, expected_value: Value, label: measure} + - {column: L, row: 5195, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5196 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5196, expected_value: E12000004, label: geography} + - {column: D, row: 5196, expected_value: All persons, label: sex} + - {column: E, row: 5196, expected_value: Total, label: employment type} + - {column: J, row: 5196, expected_value: Value, label: measure} + - {column: L, row: 5197, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5198 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5198, expected_value: E12000004, label: geography} + - {column: D, row: 5198, expected_value: All persons, label: sex} + - {column: E, row: 5198, expected_value: Total, label: employment type} + - {column: J, row: 5198, expected_value: Value, label: measure} + - {column: L, row: 5199, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5200 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5200, expected_value: E12000004, label: geography} + - {column: D, row: 5200, expected_value: All persons, label: sex} + - {column: E, row: 5200, expected_value: Total, label: employment type} + - {column: J, row: 5200, expected_value: Value, label: measure} + - {column: L, row: 5201, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5202 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5202, expected_value: E12000004, label: geography} + - {column: D, row: 5202, expected_value: All persons, label: sex} + - {column: E, row: 5202, expected_value: Total, label: employment type} + - {column: J, row: 5202, expected_value: Value, label: measure} + - {column: L, row: 5203, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5204 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5204, expected_value: E12000004, label: geography} + - {column: D, row: 5204, expected_value: All persons, label: sex} + - {column: E, row: 5204, expected_value: Total, label: employment type} + - {column: J, row: 5204, expected_value: Value, label: measure} + - {column: L, row: 5205, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5206 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5206, expected_value: E12000004, label: geography} + - {column: D, row: 5206, expected_value: All persons, label: sex} + - {column: E, row: 5206, expected_value: Total, label: employment type} + - {column: J, row: 5206, expected_value: Value, label: measure} + - {column: L, row: 5207, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5208 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5208, expected_value: E12000004, label: geography} + - {column: D, row: 5208, expected_value: All persons, label: sex} + - {column: E, row: 5208, expected_value: Total, label: employment type} + - {column: J, row: 5208, expected_value: Value, label: measure} + - {column: L, row: 5209, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5210 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5210, expected_value: E12000004, label: geography} + - {column: D, row: 5210, expected_value: All persons, label: sex} + - {column: E, row: 5210, expected_value: Total, label: employment type} + - {column: J, row: 5210, expected_value: Value, label: measure} + - {column: L, row: 5211, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5212 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5212, expected_value: E12000004, label: geography} + - {column: D, row: 5212, expected_value: All persons, label: sex} + - {column: E, row: 5212, expected_value: Total, label: employment type} + - {column: J, row: 5212, expected_value: Value, label: measure} + - {column: L, row: 5213, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5214 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5214, expected_value: E12000004, label: geography} + - {column: D, row: 5214, expected_value: All persons, label: sex} + - {column: E, row: 5214, expected_value: Total, label: employment type} + - {column: J, row: 5214, expected_value: Value, label: measure} + - {column: L, row: 5215, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5216 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5216, expected_value: E12000004, label: geography} + - {column: D, row: 5216, expected_value: All persons, label: sex} + - {column: E, row: 5216, expected_value: Total, label: employment type} + - {column: J, row: 5216, expected_value: Value, label: measure} + - {column: L, row: 5217, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5218 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5218, expected_value: E12000004, label: geography} + - {column: D, row: 5218, expected_value: All persons, label: sex} + - {column: E, row: 5218, expected_value: Total, label: employment type} + - {column: J, row: 5218, expected_value: Value, label: measure} + - {column: L, row: 5219, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5220 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5220, expected_value: E12000004, label: geography} + - {column: D, row: 5220, expected_value: All persons, label: sex} + - {column: E, row: 5220, expected_value: Total, label: employment type} + - {column: J, row: 5220, expected_value: Value, label: measure} + - {column: L, row: 5221, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5222 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5222, expected_value: E12000004, label: geography} + - {column: D, row: 5222, expected_value: All persons, label: sex} + - {column: E, row: 5222, expected_value: Total, label: employment type} + - {column: J, row: 5222, expected_value: Value, label: measure} + - {column: L, row: 5223, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5224 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5224, expected_value: E12000004, label: geography} + - {column: D, row: 5224, expected_value: All persons, label: sex} + - {column: E, row: 5224, expected_value: Total, label: employment type} + - {column: J, row: 5224, expected_value: Value, label: measure} + - {column: L, row: 5225, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5226 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5226, expected_value: E12000004, label: geography} + - {column: D, row: 5226, expected_value: All persons, label: sex} + - {column: E, row: 5226, expected_value: Total, label: employment type} + - {column: J, row: 5226, expected_value: Value, label: measure} + - {column: L, row: 5227, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5228 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5228, expected_value: E12000004, label: geography} + - {column: D, row: 5228, expected_value: All persons, label: sex} + - {column: E, row: 5228, expected_value: Total, label: employment type} + - {column: J, row: 5228, expected_value: Value, label: measure} + - {column: L, row: 5229, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5230 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5230, expected_value: E12000004, label: geography} + - {column: D, row: 5230, expected_value: All persons, label: sex} + - {column: E, row: 5230, expected_value: Total, label: employment type} + - {column: J, row: 5230, expected_value: Value, label: measure} + - {column: L, row: 5231, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5232 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5232, expected_value: E12000004, label: geography} + - {column: D, row: 5232, expected_value: All persons, label: sex} + - {column: E, row: 5232, expected_value: Total, label: employment type} + - {column: J, row: 5232, expected_value: Value, label: measure} + - {column: L, row: 5233, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5234 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5234, expected_value: E12000004, label: geography} + - {column: D, row: 5234, expected_value: All persons, label: sex} + - {column: E, row: 5234, expected_value: Total, label: employment type} + - {column: J, row: 5234, expected_value: Value, label: measure} + - {column: L, row: 5235, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5236 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5236, expected_value: E12000004, label: geography} + - {column: D, row: 5236, expected_value: All persons, label: sex} + - {column: E, row: 5236, expected_value: Total, label: employment type} + - {column: J, row: 5236, expected_value: Value, label: measure} + - {column: L, row: 5237, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5240 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5240, expected_value: E12000004, label: geography} + - {column: D, row: 5240, expected_value: All persons, label: sex} + - {column: E, row: 5240, expected_value: Total, label: employment type} + - {column: J, row: 5240, expected_value: Value, label: measure} + - {column: L, row: 5241, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5242 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5242, expected_value: E12000004, label: geography} + - {column: D, row: 5242, expected_value: All persons, label: sex} + - {column: E, row: 5242, expected_value: Total, label: employment type} + - {column: J, row: 5242, expected_value: Value, label: measure} + - {column: L, row: 5243, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5244 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5244, expected_value: E12000004, label: geography} + - {column: D, row: 5244, expected_value: All persons, label: sex} + - {column: E, row: 5244, expected_value: Total, label: employment type} + - {column: J, row: 5244, expected_value: Value, label: measure} + - {column: L, row: 5245, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5246 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5246, expected_value: E12000004, label: geography} + - {column: D, row: 5246, expected_value: All persons, label: sex} + - {column: E, row: 5246, expected_value: Total, label: employment type} + - {column: J, row: 5246, expected_value: Value, label: measure} + - {column: L, row: 5247, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5248 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5248, expected_value: E12000004, label: geography} + - {column: D, row: 5248, expected_value: All persons, label: sex} + - {column: E, row: 5248, expected_value: Total, label: employment type} + - {column: J, row: 5248, expected_value: Value, label: measure} + - {column: L, row: 5249, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5250 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5250, expected_value: E12000004, label: geography} + - {column: D, row: 5250, expected_value: All persons, label: sex} + - {column: E, row: 5250, expected_value: Total, label: employment type} + - {column: J, row: 5250, expected_value: Value, label: measure} + - {column: L, row: 5251, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5252 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5252, expected_value: E12000004, label: geography} + - {column: D, row: 5252, expected_value: All persons, label: sex} + - {column: E, row: 5252, expected_value: Total, label: employment type} + - {column: J, row: 5252, expected_value: Value, label: measure} + - {column: L, row: 5253, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5254 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5254, expected_value: E12000004, label: geography} + - {column: D, row: 5254, expected_value: All persons, label: sex} + - {column: E, row: 5254, expected_value: Total, label: employment type} + - {column: J, row: 5254, expected_value: Value, label: measure} + - {column: L, row: 5255, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5256 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5256, expected_value: E12000004, label: geography} + - {column: D, row: 5256, expected_value: All persons, label: sex} + - {column: E, row: 5256, expected_value: Total, label: employment type} + - {column: J, row: 5256, expected_value: Value, label: measure} + - {column: L, row: 5257, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5187 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5187, expected_value: E12000004, label: geography} + - {column: D, row: 5187, expected_value: All persons, label: sex} + - {column: E, row: 5187, expected_value: Total, label: employment type} + - {column: J, row: 5187, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5189 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5189, expected_value: E12000004, label: geography} + - {column: D, row: 5189, expected_value: All persons, label: sex} + - {column: E, row: 5189, expected_value: Total, label: employment type} + - {column: J, row: 5189, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5191 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5191, expected_value: E12000004, label: geography} + - {column: D, row: 5191, expected_value: All persons, label: sex} + - {column: E, row: 5191, expected_value: Total, label: employment type} + - {column: J, row: 5191, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5193 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5193, expected_value: E12000004, label: geography} + - {column: D, row: 5193, expected_value: All persons, label: sex} + - {column: E, row: 5193, expected_value: Total, label: employment type} + - {column: J, row: 5193, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5195 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5195, expected_value: E12000004, label: geography} + - {column: D, row: 5195, expected_value: All persons, label: sex} + - {column: E, row: 5195, expected_value: Total, label: employment type} + - {column: J, row: 5195, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5197 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5197, expected_value: E12000004, label: geography} + - {column: D, row: 5197, expected_value: All persons, label: sex} + - {column: E, row: 5197, expected_value: Total, label: employment type} + - {column: J, row: 5197, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5199 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5199, expected_value: E12000004, label: geography} + - {column: D, row: 5199, expected_value: All persons, label: sex} + - {column: E, row: 5199, expected_value: Total, label: employment type} + - {column: J, row: 5199, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5201 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5201, expected_value: E12000004, label: geography} + - {column: D, row: 5201, expected_value: All persons, label: sex} + - {column: E, row: 5201, expected_value: Total, label: employment type} + - {column: J, row: 5201, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5203 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5203, expected_value: E12000004, label: geography} + - {column: D, row: 5203, expected_value: All persons, label: sex} + - {column: E, row: 5203, expected_value: Total, label: employment type} + - {column: J, row: 5203, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5205 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5205, expected_value: E12000004, label: geography} + - {column: D, row: 5205, expected_value: All persons, label: sex} + - {column: E, row: 5205, expected_value: Total, label: employment type} + - {column: J, row: 5205, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5207 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5207, expected_value: E12000004, label: geography} + - {column: D, row: 5207, expected_value: All persons, label: sex} + - {column: E, row: 5207, expected_value: Total, label: employment type} + - {column: J, row: 5207, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5209 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5209, expected_value: E12000004, label: geography} + - {column: D, row: 5209, expected_value: All persons, label: sex} + - {column: E, row: 5209, expected_value: Total, label: employment type} + - {column: J, row: 5209, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5211 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5211, expected_value: E12000004, label: geography} + - {column: D, row: 5211, expected_value: All persons, label: sex} + - {column: E, row: 5211, expected_value: Total, label: employment type} + - {column: J, row: 5211, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5213 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5213, expected_value: E12000004, label: geography} + - {column: D, row: 5213, expected_value: All persons, label: sex} + - {column: E, row: 5213, expected_value: Total, label: employment type} + - {column: J, row: 5213, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5215 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5215, expected_value: E12000004, label: geography} + - {column: D, row: 5215, expected_value: All persons, label: sex} + - {column: E, row: 5215, expected_value: Total, label: employment type} + - {column: J, row: 5215, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5217 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5217, expected_value: E12000004, label: geography} + - {column: D, row: 5217, expected_value: All persons, label: sex} + - {column: E, row: 5217, expected_value: Total, label: employment type} + - {column: J, row: 5217, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5219 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5219, expected_value: E12000004, label: geography} + - {column: D, row: 5219, expected_value: All persons, label: sex} + - {column: E, row: 5219, expected_value: Total, label: employment type} + - {column: J, row: 5219, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5221 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5221, expected_value: E12000004, label: geography} + - {column: D, row: 5221, expected_value: All persons, label: sex} + - {column: E, row: 5221, expected_value: Total, label: employment type} + - {column: J, row: 5221, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5223 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5223, expected_value: E12000004, label: geography} + - {column: D, row: 5223, expected_value: All persons, label: sex} + - {column: E, row: 5223, expected_value: Total, label: employment type} + - {column: J, row: 5223, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5225 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5225, expected_value: E12000004, label: geography} + - {column: D, row: 5225, expected_value: All persons, label: sex} + - {column: E, row: 5225, expected_value: Total, label: employment type} + - {column: J, row: 5225, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5227 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5227, expected_value: E12000004, label: geography} + - {column: D, row: 5227, expected_value: All persons, label: sex} + - {column: E, row: 5227, expected_value: Total, label: employment type} + - {column: J, row: 5227, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5229 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5229, expected_value: E12000004, label: geography} + - {column: D, row: 5229, expected_value: All persons, label: sex} + - {column: E, row: 5229, expected_value: Total, label: employment type} + - {column: J, row: 5229, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5231 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5231, expected_value: E12000004, label: geography} + - {column: D, row: 5231, expected_value: All persons, label: sex} + - {column: E, row: 5231, expected_value: Total, label: employment type} + - {column: J, row: 5231, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5233 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5233, expected_value: E12000004, label: geography} + - {column: D, row: 5233, expected_value: All persons, label: sex} + - {column: E, row: 5233, expected_value: Total, label: employment type} + - {column: J, row: 5233, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5235 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5235, expected_value: E12000004, label: geography} + - {column: D, row: 5235, expected_value: All persons, label: sex} + - {column: E, row: 5235, expected_value: Total, label: employment type} + - {column: J, row: 5235, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5237 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5237, expected_value: E12000004, label: geography} + - {column: D, row: 5237, expected_value: All persons, label: sex} + - {column: E, row: 5237, expected_value: Total, label: employment type} + - {column: J, row: 5237, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5241 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5241, expected_value: E12000004, label: geography} + - {column: D, row: 5241, expected_value: All persons, label: sex} + - {column: E, row: 5241, expected_value: Total, label: employment type} + - {column: J, row: 5241, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5243 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5243, expected_value: E12000004, label: geography} + - {column: D, row: 5243, expected_value: All persons, label: sex} + - {column: E, row: 5243, expected_value: Total, label: employment type} + - {column: J, row: 5243, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5245 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5245, expected_value: E12000004, label: geography} + - {column: D, row: 5245, expected_value: All persons, label: sex} + - {column: E, row: 5245, expected_value: Total, label: employment type} + - {column: J, row: 5245, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5247 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5247, expected_value: E12000004, label: geography} + - {column: D, row: 5247, expected_value: All persons, label: sex} + - {column: E, row: 5247, expected_value: Total, label: employment type} + - {column: J, row: 5247, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5249 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5249, expected_value: E12000004, label: geography} + - {column: D, row: 5249, expected_value: All persons, label: sex} + - {column: E, row: 5249, expected_value: Total, label: employment type} + - {column: J, row: 5249, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5251 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5251, expected_value: E12000004, label: geography} + - {column: D, row: 5251, expected_value: All persons, label: sex} + - {column: E, row: 5251, expected_value: Total, label: employment type} + - {column: J, row: 5251, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5253 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5253, expected_value: E12000004, label: geography} + - {column: D, row: 5253, expected_value: All persons, label: sex} + - {column: E, row: 5253, expected_value: Total, label: employment type} + - {column: J, row: 5253, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5255 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5255, expected_value: E12000004, label: geography} + - {column: D, row: 5255, expected_value: All persons, label: sex} + - {column: E, row: 5255, expected_value: Total, label: employment type} + - {column: J, row: 5255, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5257 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5257, expected_value: E12000004, label: geography} + - {column: D, row: 5257, expected_value: All persons, label: sex} + - {column: E, row: 5257, expected_value: Total, label: employment type} + - {column: J, row: 5257, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5402 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5402, expected_value: E12000004, label: geography} + - {column: D, row: 5402, expected_value: All persons, label: sex} + - {column: E, row: 5402, expected_value: Employee, label: employment type} + - {column: J, row: 5402, expected_value: Value, label: measure} + - {column: L, row: 5403, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5404 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5404, expected_value: E12000004, label: geography} + - {column: D, row: 5404, expected_value: All persons, label: sex} + - {column: E, row: 5404, expected_value: Employee, label: employment type} + - {column: J, row: 5404, expected_value: Value, label: measure} + - {column: L, row: 5405, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5406 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5406, expected_value: E12000004, label: geography} + - {column: D, row: 5406, expected_value: All persons, label: sex} + - {column: E, row: 5406, expected_value: Employee, label: employment type} + - {column: J, row: 5406, expected_value: Value, label: measure} + - {column: L, row: 5407, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5408 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5408, expected_value: E12000004, label: geography} + - {column: D, row: 5408, expected_value: All persons, label: sex} + - {column: E, row: 5408, expected_value: Employee, label: employment type} + - {column: J, row: 5408, expected_value: Value, label: measure} + - {column: L, row: 5409, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5410 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5410, expected_value: E12000004, label: geography} + - {column: D, row: 5410, expected_value: All persons, label: sex} + - {column: E, row: 5410, expected_value: Employee, label: employment type} + - {column: J, row: 5410, expected_value: Value, label: measure} + - {column: L, row: 5411, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5412 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5412, expected_value: E12000004, label: geography} + - {column: D, row: 5412, expected_value: All persons, label: sex} + - {column: E, row: 5412, expected_value: Employee, label: employment type} + - {column: J, row: 5412, expected_value: Value, label: measure} + - {column: L, row: 5413, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5414 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5414, expected_value: E12000004, label: geography} + - {column: D, row: 5414, expected_value: All persons, label: sex} + - {column: E, row: 5414, expected_value: Employee, label: employment type} + - {column: J, row: 5414, expected_value: Value, label: measure} + - {column: L, row: 5415, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5416 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5416, expected_value: E12000004, label: geography} + - {column: D, row: 5416, expected_value: All persons, label: sex} + - {column: E, row: 5416, expected_value: Employee, label: employment type} + - {column: J, row: 5416, expected_value: Value, label: measure} + - {column: L, row: 5417, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5418 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5418, expected_value: E12000004, label: geography} + - {column: D, row: 5418, expected_value: All persons, label: sex} + - {column: E, row: 5418, expected_value: Employee, label: employment type} + - {column: J, row: 5418, expected_value: Value, label: measure} + - {column: L, row: 5419, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5420 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5420, expected_value: E12000004, label: geography} + - {column: D, row: 5420, expected_value: All persons, label: sex} + - {column: E, row: 5420, expected_value: Employee, label: employment type} + - {column: J, row: 5420, expected_value: Value, label: measure} + - {column: L, row: 5421, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5422 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5422, expected_value: E12000004, label: geography} + - {column: D, row: 5422, expected_value: All persons, label: sex} + - {column: E, row: 5422, expected_value: Employee, label: employment type} + - {column: J, row: 5422, expected_value: Value, label: measure} + - {column: L, row: 5423, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5424 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5424, expected_value: E12000004, label: geography} + - {column: D, row: 5424, expected_value: All persons, label: sex} + - {column: E, row: 5424, expected_value: Employee, label: employment type} + - {column: J, row: 5424, expected_value: Value, label: measure} + - {column: L, row: 5425, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5426 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5426, expected_value: E12000004, label: geography} + - {column: D, row: 5426, expected_value: All persons, label: sex} + - {column: E, row: 5426, expected_value: Employee, label: employment type} + - {column: J, row: 5426, expected_value: Value, label: measure} + - {column: L, row: 5427, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5428 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5428, expected_value: E12000004, label: geography} + - {column: D, row: 5428, expected_value: All persons, label: sex} + - {column: E, row: 5428, expected_value: Employee, label: employment type} + - {column: J, row: 5428, expected_value: Value, label: measure} + - {column: L, row: 5429, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5430 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5430, expected_value: E12000004, label: geography} + - {column: D, row: 5430, expected_value: All persons, label: sex} + - {column: E, row: 5430, expected_value: Employee, label: employment type} + - {column: J, row: 5430, expected_value: Value, label: measure} + - {column: L, row: 5431, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5432 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5432, expected_value: E12000004, label: geography} + - {column: D, row: 5432, expected_value: All persons, label: sex} + - {column: E, row: 5432, expected_value: Employee, label: employment type} + - {column: J, row: 5432, expected_value: Value, label: measure} + - {column: L, row: 5433, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5434 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5434, expected_value: E12000004, label: geography} + - {column: D, row: 5434, expected_value: All persons, label: sex} + - {column: E, row: 5434, expected_value: Employee, label: employment type} + - {column: J, row: 5434, expected_value: Value, label: measure} + - {column: L, row: 5435, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5436 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5436, expected_value: E12000004, label: geography} + - {column: D, row: 5436, expected_value: All persons, label: sex} + - {column: E, row: 5436, expected_value: Employee, label: employment type} + - {column: J, row: 5436, expected_value: Value, label: measure} + - {column: L, row: 5437, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5438 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5438, expected_value: E12000004, label: geography} + - {column: D, row: 5438, expected_value: All persons, label: sex} + - {column: E, row: 5438, expected_value: Employee, label: employment type} + - {column: J, row: 5438, expected_value: Value, label: measure} + - {column: L, row: 5439, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5440 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5440, expected_value: E12000004, label: geography} + - {column: D, row: 5440, expected_value: All persons, label: sex} + - {column: E, row: 5440, expected_value: Employee, label: employment type} + - {column: J, row: 5440, expected_value: Value, label: measure} + - {column: L, row: 5441, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5442 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5442, expected_value: E12000004, label: geography} + - {column: D, row: 5442, expected_value: All persons, label: sex} + - {column: E, row: 5442, expected_value: Employee, label: employment type} + - {column: J, row: 5442, expected_value: Value, label: measure} + - {column: L, row: 5443, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5444 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5444, expected_value: E12000004, label: geography} + - {column: D, row: 5444, expected_value: All persons, label: sex} + - {column: E, row: 5444, expected_value: Employee, label: employment type} + - {column: J, row: 5444, expected_value: Value, label: measure} + - {column: L, row: 5445, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5446 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5446, expected_value: E12000004, label: geography} + - {column: D, row: 5446, expected_value: All persons, label: sex} + - {column: E, row: 5446, expected_value: Employee, label: employment type} + - {column: J, row: 5446, expected_value: Value, label: measure} + - {column: L, row: 5447, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5448 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5448, expected_value: E12000004, label: geography} + - {column: D, row: 5448, expected_value: All persons, label: sex} + - {column: E, row: 5448, expected_value: Employee, label: employment type} + - {column: J, row: 5448, expected_value: Value, label: measure} + - {column: L, row: 5449, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5450 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5450, expected_value: E12000004, label: geography} + - {column: D, row: 5450, expected_value: All persons, label: sex} + - {column: E, row: 5450, expected_value: Employee, label: employment type} + - {column: J, row: 5450, expected_value: Value, label: measure} + - {column: L, row: 5451, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5452 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5452, expected_value: E12000004, label: geography} + - {column: D, row: 5452, expected_value: All persons, label: sex} + - {column: E, row: 5452, expected_value: Employee, label: employment type} + - {column: J, row: 5452, expected_value: Value, label: measure} + - {column: L, row: 5453, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5456 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5456, expected_value: E12000004, label: geography} + - {column: D, row: 5456, expected_value: All persons, label: sex} + - {column: E, row: 5456, expected_value: Employee, label: employment type} + - {column: J, row: 5456, expected_value: Value, label: measure} + - {column: L, row: 5457, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5458 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5458, expected_value: E12000004, label: geography} + - {column: D, row: 5458, expected_value: All persons, label: sex} + - {column: E, row: 5458, expected_value: Employee, label: employment type} + - {column: J, row: 5458, expected_value: Value, label: measure} + - {column: L, row: 5459, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5460 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5460, expected_value: E12000004, label: geography} + - {column: D, row: 5460, expected_value: All persons, label: sex} + - {column: E, row: 5460, expected_value: Employee, label: employment type} + - {column: J, row: 5460, expected_value: Value, label: measure} + - {column: L, row: 5461, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5462 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5462, expected_value: E12000004, label: geography} + - {column: D, row: 5462, expected_value: All persons, label: sex} + - {column: E, row: 5462, expected_value: Employee, label: employment type} + - {column: J, row: 5462, expected_value: Value, label: measure} + - {column: L, row: 5463, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5464 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5464, expected_value: E12000004, label: geography} + - {column: D, row: 5464, expected_value: All persons, label: sex} + - {column: E, row: 5464, expected_value: Employee, label: employment type} + - {column: J, row: 5464, expected_value: Value, label: measure} + - {column: L, row: 5465, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5466 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5466, expected_value: E12000004, label: geography} + - {column: D, row: 5466, expected_value: All persons, label: sex} + - {column: E, row: 5466, expected_value: Employee, label: employment type} + - {column: J, row: 5466, expected_value: Value, label: measure} + - {column: L, row: 5467, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5468 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5468, expected_value: E12000004, label: geography} + - {column: D, row: 5468, expected_value: All persons, label: sex} + - {column: E, row: 5468, expected_value: Employee, label: employment type} + - {column: J, row: 5468, expected_value: Value, label: measure} + - {column: L, row: 5469, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5470 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5470, expected_value: E12000004, label: geography} + - {column: D, row: 5470, expected_value: All persons, label: sex} + - {column: E, row: 5470, expected_value: Employee, label: employment type} + - {column: J, row: 5470, expected_value: Value, label: measure} + - {column: L, row: 5471, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5472 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5472, expected_value: E12000004, label: geography} + - {column: D, row: 5472, expected_value: All persons, label: sex} + - {column: E, row: 5472, expected_value: Employee, label: employment type} + - {column: J, row: 5472, expected_value: Value, label: measure} + - {column: L, row: 5473, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5403 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5403, expected_value: E12000004, label: geography} + - {column: D, row: 5403, expected_value: All persons, label: sex} + - {column: E, row: 5403, expected_value: Employee, label: employment type} + - {column: J, row: 5403, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5405 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5405, expected_value: E12000004, label: geography} + - {column: D, row: 5405, expected_value: All persons, label: sex} + - {column: E, row: 5405, expected_value: Employee, label: employment type} + - {column: J, row: 5405, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5407 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5407, expected_value: E12000004, label: geography} + - {column: D, row: 5407, expected_value: All persons, label: sex} + - {column: E, row: 5407, expected_value: Employee, label: employment type} + - {column: J, row: 5407, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5409 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5409, expected_value: E12000004, label: geography} + - {column: D, row: 5409, expected_value: All persons, label: sex} + - {column: E, row: 5409, expected_value: Employee, label: employment type} + - {column: J, row: 5409, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5411 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5411, expected_value: E12000004, label: geography} + - {column: D, row: 5411, expected_value: All persons, label: sex} + - {column: E, row: 5411, expected_value: Employee, label: employment type} + - {column: J, row: 5411, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5413 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5413, expected_value: E12000004, label: geography} + - {column: D, row: 5413, expected_value: All persons, label: sex} + - {column: E, row: 5413, expected_value: Employee, label: employment type} + - {column: J, row: 5413, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5415 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5415, expected_value: E12000004, label: geography} + - {column: D, row: 5415, expected_value: All persons, label: sex} + - {column: E, row: 5415, expected_value: Employee, label: employment type} + - {column: J, row: 5415, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5417 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5417, expected_value: E12000004, label: geography} + - {column: D, row: 5417, expected_value: All persons, label: sex} + - {column: E, row: 5417, expected_value: Employee, label: employment type} + - {column: J, row: 5417, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5419 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5419, expected_value: E12000004, label: geography} + - {column: D, row: 5419, expected_value: All persons, label: sex} + - {column: E, row: 5419, expected_value: Employee, label: employment type} + - {column: J, row: 5419, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5421 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5421, expected_value: E12000004, label: geography} + - {column: D, row: 5421, expected_value: All persons, label: sex} + - {column: E, row: 5421, expected_value: Employee, label: employment type} + - {column: J, row: 5421, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5423 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5423, expected_value: E12000004, label: geography} + - {column: D, row: 5423, expected_value: All persons, label: sex} + - {column: E, row: 5423, expected_value: Employee, label: employment type} + - {column: J, row: 5423, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5425 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5425, expected_value: E12000004, label: geography} + - {column: D, row: 5425, expected_value: All persons, label: sex} + - {column: E, row: 5425, expected_value: Employee, label: employment type} + - {column: J, row: 5425, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5427 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5427, expected_value: E12000004, label: geography} + - {column: D, row: 5427, expected_value: All persons, label: sex} + - {column: E, row: 5427, expected_value: Employee, label: employment type} + - {column: J, row: 5427, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5429 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5429, expected_value: E12000004, label: geography} + - {column: D, row: 5429, expected_value: All persons, label: sex} + - {column: E, row: 5429, expected_value: Employee, label: employment type} + - {column: J, row: 5429, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5431 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5431, expected_value: E12000004, label: geography} + - {column: D, row: 5431, expected_value: All persons, label: sex} + - {column: E, row: 5431, expected_value: Employee, label: employment type} + - {column: J, row: 5431, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5433 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5433, expected_value: E12000004, label: geography} + - {column: D, row: 5433, expected_value: All persons, label: sex} + - {column: E, row: 5433, expected_value: Employee, label: employment type} + - {column: J, row: 5433, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5435 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5435, expected_value: E12000004, label: geography} + - {column: D, row: 5435, expected_value: All persons, label: sex} + - {column: E, row: 5435, expected_value: Employee, label: employment type} + - {column: J, row: 5435, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5437 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5437, expected_value: E12000004, label: geography} + - {column: D, row: 5437, expected_value: All persons, label: sex} + - {column: E, row: 5437, expected_value: Employee, label: employment type} + - {column: J, row: 5437, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5439 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5439, expected_value: E12000004, label: geography} + - {column: D, row: 5439, expected_value: All persons, label: sex} + - {column: E, row: 5439, expected_value: Employee, label: employment type} + - {column: J, row: 5439, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5441 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5441, expected_value: E12000004, label: geography} + - {column: D, row: 5441, expected_value: All persons, label: sex} + - {column: E, row: 5441, expected_value: Employee, label: employment type} + - {column: J, row: 5441, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5443 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5443, expected_value: E12000004, label: geography} + - {column: D, row: 5443, expected_value: All persons, label: sex} + - {column: E, row: 5443, expected_value: Employee, label: employment type} + - {column: J, row: 5443, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5445 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5445, expected_value: E12000004, label: geography} + - {column: D, row: 5445, expected_value: All persons, label: sex} + - {column: E, row: 5445, expected_value: Employee, label: employment type} + - {column: J, row: 5445, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5447 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5447, expected_value: E12000004, label: geography} + - {column: D, row: 5447, expected_value: All persons, label: sex} + - {column: E, row: 5447, expected_value: Employee, label: employment type} + - {column: J, row: 5447, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5449 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5449, expected_value: E12000004, label: geography} + - {column: D, row: 5449, expected_value: All persons, label: sex} + - {column: E, row: 5449, expected_value: Employee, label: employment type} + - {column: J, row: 5449, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5451 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5451, expected_value: E12000004, label: geography} + - {column: D, row: 5451, expected_value: All persons, label: sex} + - {column: E, row: 5451, expected_value: Employee, label: employment type} + - {column: J, row: 5451, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5453 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5453, expected_value: E12000004, label: geography} + - {column: D, row: 5453, expected_value: All persons, label: sex} + - {column: E, row: 5453, expected_value: Employee, label: employment type} + - {column: J, row: 5453, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5457 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5457, expected_value: E12000004, label: geography} + - {column: D, row: 5457, expected_value: All persons, label: sex} + - {column: E, row: 5457, expected_value: Employee, label: employment type} + - {column: J, row: 5457, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5459 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5459, expected_value: E12000004, label: geography} + - {column: D, row: 5459, expected_value: All persons, label: sex} + - {column: E, row: 5459, expected_value: Employee, label: employment type} + - {column: J, row: 5459, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5461 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5461, expected_value: E12000004, label: geography} + - {column: D, row: 5461, expected_value: All persons, label: sex} + - {column: E, row: 5461, expected_value: Employee, label: employment type} + - {column: J, row: 5461, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5463 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5463, expected_value: E12000004, label: geography} + - {column: D, row: 5463, expected_value: All persons, label: sex} + - {column: E, row: 5463, expected_value: Employee, label: employment type} + - {column: J, row: 5463, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5465 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5465, expected_value: E12000004, label: geography} + - {column: D, row: 5465, expected_value: All persons, label: sex} + - {column: E, row: 5465, expected_value: Employee, label: employment type} + - {column: J, row: 5465, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5467 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5467, expected_value: E12000004, label: geography} + - {column: D, row: 5467, expected_value: All persons, label: sex} + - {column: E, row: 5467, expected_value: Employee, label: employment type} + - {column: J, row: 5467, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5469 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5469, expected_value: E12000004, label: geography} + - {column: D, row: 5469, expected_value: All persons, label: sex} + - {column: E, row: 5469, expected_value: Employee, label: employment type} + - {column: J, row: 5469, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5471 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5471, expected_value: E12000004, label: geography} + - {column: D, row: 5471, expected_value: All persons, label: sex} + - {column: E, row: 5471, expected_value: Employee, label: employment type} + - {column: J, row: 5471, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5473 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5473, expected_value: E12000004, label: geography} + - {column: D, row: 5473, expected_value: All persons, label: sex} + - {column: E, row: 5473, expected_value: Employee, label: employment type} + - {column: J, row: 5473, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5618 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5618, expected_value: E12000004, label: geography} + - {column: D, row: 5618, expected_value: All persons, label: sex} + - {column: E, row: 5618, expected_value: Self-employed, label: employment type} + - {column: J, row: 5618, expected_value: Value, label: measure} + - {column: L, row: 5619, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5620 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5620, expected_value: E12000004, label: geography} + - {column: D, row: 5620, expected_value: All persons, label: sex} + - {column: E, row: 5620, expected_value: Self-employed, label: employment type} + - {column: J, row: 5620, expected_value: Value, label: measure} + - {column: L, row: 5621, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5622 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5622, expected_value: E12000004, label: geography} + - {column: D, row: 5622, expected_value: All persons, label: sex} + - {column: E, row: 5622, expected_value: Self-employed, label: employment type} + - {column: J, row: 5622, expected_value: Value, label: measure} + - {column: L, row: 5623, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5624 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5624, expected_value: E12000004, label: geography} + - {column: D, row: 5624, expected_value: All persons, label: sex} + - {column: E, row: 5624, expected_value: Self-employed, label: employment type} + - {column: J, row: 5624, expected_value: Value, label: measure} + - {column: L, row: 5625, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5626 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5626, expected_value: E12000004, label: geography} + - {column: D, row: 5626, expected_value: All persons, label: sex} + - {column: E, row: 5626, expected_value: Self-employed, label: employment type} + - {column: J, row: 5626, expected_value: Value, label: measure} + - {column: L, row: 5627, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5628 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5628, expected_value: E12000004, label: geography} + - {column: D, row: 5628, expected_value: All persons, label: sex} + - {column: E, row: 5628, expected_value: Self-employed, label: employment type} + - {column: J, row: 5628, expected_value: Value, label: measure} + - {column: L, row: 5629, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5630 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5630, expected_value: E12000004, label: geography} + - {column: D, row: 5630, expected_value: All persons, label: sex} + - {column: E, row: 5630, expected_value: Self-employed, label: employment type} + - {column: J, row: 5630, expected_value: Value, label: measure} + - {column: L, row: 5631, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5632 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5632, expected_value: E12000004, label: geography} + - {column: D, row: 5632, expected_value: All persons, label: sex} + - {column: E, row: 5632, expected_value: Self-employed, label: employment type} + - {column: J, row: 5632, expected_value: Value, label: measure} + - {column: L, row: 5633, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5634 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5634, expected_value: E12000004, label: geography} + - {column: D, row: 5634, expected_value: All persons, label: sex} + - {column: E, row: 5634, expected_value: Self-employed, label: employment type} + - {column: J, row: 5634, expected_value: Value, label: measure} + - {column: L, row: 5635, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5636 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5636, expected_value: E12000004, label: geography} + - {column: D, row: 5636, expected_value: All persons, label: sex} + - {column: E, row: 5636, expected_value: Self-employed, label: employment type} + - {column: J, row: 5636, expected_value: Value, label: measure} + - {column: L, row: 5637, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5638 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5638, expected_value: E12000004, label: geography} + - {column: D, row: 5638, expected_value: All persons, label: sex} + - {column: E, row: 5638, expected_value: Self-employed, label: employment type} + - {column: J, row: 5638, expected_value: Value, label: measure} + - {column: L, row: 5639, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5640 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5640, expected_value: E12000004, label: geography} + - {column: D, row: 5640, expected_value: All persons, label: sex} + - {column: E, row: 5640, expected_value: Self-employed, label: employment type} + - {column: J, row: 5640, expected_value: Value, label: measure} + - {column: L, row: 5641, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5642 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5642, expected_value: E12000004, label: geography} + - {column: D, row: 5642, expected_value: All persons, label: sex} + - {column: E, row: 5642, expected_value: Self-employed, label: employment type} + - {column: J, row: 5642, expected_value: Value, label: measure} + - {column: L, row: 5643, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5644 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5644, expected_value: E12000004, label: geography} + - {column: D, row: 5644, expected_value: All persons, label: sex} + - {column: E, row: 5644, expected_value: Self-employed, label: employment type} + - {column: J, row: 5644, expected_value: Value, label: measure} + - {column: L, row: 5645, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5646 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5646, expected_value: E12000004, label: geography} + - {column: D, row: 5646, expected_value: All persons, label: sex} + - {column: E, row: 5646, expected_value: Self-employed, label: employment type} + - {column: J, row: 5646, expected_value: Value, label: measure} + - {column: L, row: 5647, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5648 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5648, expected_value: E12000004, label: geography} + - {column: D, row: 5648, expected_value: All persons, label: sex} + - {column: E, row: 5648, expected_value: Self-employed, label: employment type} + - {column: J, row: 5648, expected_value: Value, label: measure} + - {column: L, row: 5649, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5650 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5650, expected_value: E12000004, label: geography} + - {column: D, row: 5650, expected_value: All persons, label: sex} + - {column: E, row: 5650, expected_value: Self-employed, label: employment type} + - {column: J, row: 5650, expected_value: Value, label: measure} + - {column: L, row: 5651, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5652 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5652, expected_value: E12000004, label: geography} + - {column: D, row: 5652, expected_value: All persons, label: sex} + - {column: E, row: 5652, expected_value: Self-employed, label: employment type} + - {column: J, row: 5652, expected_value: Value, label: measure} + - {column: L, row: 5653, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5654 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5654, expected_value: E12000004, label: geography} + - {column: D, row: 5654, expected_value: All persons, label: sex} + - {column: E, row: 5654, expected_value: Self-employed, label: employment type} + - {column: J, row: 5654, expected_value: Value, label: measure} + - {column: L, row: 5655, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5656 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5656, expected_value: E12000004, label: geography} + - {column: D, row: 5656, expected_value: All persons, label: sex} + - {column: E, row: 5656, expected_value: Self-employed, label: employment type} + - {column: J, row: 5656, expected_value: Value, label: measure} + - {column: L, row: 5657, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5658 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5658, expected_value: E12000004, label: geography} + - {column: D, row: 5658, expected_value: All persons, label: sex} + - {column: E, row: 5658, expected_value: Self-employed, label: employment type} + - {column: J, row: 5658, expected_value: Value, label: measure} + - {column: L, row: 5659, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5660 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5660, expected_value: E12000004, label: geography} + - {column: D, row: 5660, expected_value: All persons, label: sex} + - {column: E, row: 5660, expected_value: Self-employed, label: employment type} + - {column: J, row: 5660, expected_value: Value, label: measure} + - {column: L, row: 5661, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5662 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5662, expected_value: E12000004, label: geography} + - {column: D, row: 5662, expected_value: All persons, label: sex} + - {column: E, row: 5662, expected_value: Self-employed, label: employment type} + - {column: J, row: 5662, expected_value: Value, label: measure} + - {column: L, row: 5663, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5664 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5664, expected_value: E12000004, label: geography} + - {column: D, row: 5664, expected_value: All persons, label: sex} + - {column: E, row: 5664, expected_value: Self-employed, label: employment type} + - {column: J, row: 5664, expected_value: Value, label: measure} + - {column: L, row: 5665, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5666 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5666, expected_value: E12000004, label: geography} + - {column: D, row: 5666, expected_value: All persons, label: sex} + - {column: E, row: 5666, expected_value: Self-employed, label: employment type} + - {column: J, row: 5666, expected_value: Value, label: measure} + - {column: L, row: 5667, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5668 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5668, expected_value: E12000004, label: geography} + - {column: D, row: 5668, expected_value: All persons, label: sex} + - {column: E, row: 5668, expected_value: Self-employed, label: employment type} + - {column: J, row: 5668, expected_value: Value, label: measure} + - {column: L, row: 5669, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5672 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5672, expected_value: E12000004, label: geography} + - {column: D, row: 5672, expected_value: All persons, label: sex} + - {column: E, row: 5672, expected_value: Self-employed, label: employment type} + - {column: J, row: 5672, expected_value: Value, label: measure} + - {column: L, row: 5673, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5674 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5674, expected_value: E12000004, label: geography} + - {column: D, row: 5674, expected_value: All persons, label: sex} + - {column: E, row: 5674, expected_value: Self-employed, label: employment type} + - {column: J, row: 5674, expected_value: Value, label: measure} + - {column: L, row: 5675, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5678 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5678, expected_value: E12000004, label: geography} + - {column: D, row: 5678, expected_value: All persons, label: sex} + - {column: E, row: 5678, expected_value: Self-employed, label: employment type} + - {column: J, row: 5678, expected_value: Value, label: measure} + - {column: L, row: 5679, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5680 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5680, expected_value: E12000004, label: geography} + - {column: D, row: 5680, expected_value: All persons, label: sex} + - {column: E, row: 5680, expected_value: Self-employed, label: employment type} + - {column: J, row: 5680, expected_value: Value, label: measure} + - {column: L, row: 5681, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5682 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5682, expected_value: E12000004, label: geography} + - {column: D, row: 5682, expected_value: All persons, label: sex} + - {column: E, row: 5682, expected_value: Self-employed, label: employment type} + - {column: J, row: 5682, expected_value: Value, label: measure} + - {column: L, row: 5683, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5684 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5684, expected_value: E12000004, label: geography} + - {column: D, row: 5684, expected_value: All persons, label: sex} + - {column: E, row: 5684, expected_value: Self-employed, label: employment type} + - {column: J, row: 5684, expected_value: Value, label: measure} + - {column: L, row: 5685, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5686 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5686, expected_value: E12000004, label: geography} + - {column: D, row: 5686, expected_value: All persons, label: sex} + - {column: E, row: 5686, expected_value: Self-employed, label: employment type} + - {column: J, row: 5686, expected_value: Value, label: measure} + - {column: L, row: 5687, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5688 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5688, expected_value: E12000004, label: geography} + - {column: D, row: 5688, expected_value: All persons, label: sex} + - {column: E, row: 5688, expected_value: Self-employed, label: employment type} + - {column: J, row: 5688, expected_value: Value, label: measure} + - {column: L, row: 5689, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5619 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5619, expected_value: E12000004, label: geography} + - {column: D, row: 5619, expected_value: All persons, label: sex} + - {column: E, row: 5619, expected_value: Self-employed, label: employment type} + - {column: J, row: 5619, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5621 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5621, expected_value: E12000004, label: geography} + - {column: D, row: 5621, expected_value: All persons, label: sex} + - {column: E, row: 5621, expected_value: Self-employed, label: employment type} + - {column: J, row: 5621, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5623 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5623, expected_value: E12000004, label: geography} + - {column: D, row: 5623, expected_value: All persons, label: sex} + - {column: E, row: 5623, expected_value: Self-employed, label: employment type} + - {column: J, row: 5623, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5625 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5625, expected_value: E12000004, label: geography} + - {column: D, row: 5625, expected_value: All persons, label: sex} + - {column: E, row: 5625, expected_value: Self-employed, label: employment type} + - {column: J, row: 5625, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5627 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5627, expected_value: E12000004, label: geography} + - {column: D, row: 5627, expected_value: All persons, label: sex} + - {column: E, row: 5627, expected_value: Self-employed, label: employment type} + - {column: J, row: 5627, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5629 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5629, expected_value: E12000004, label: geography} + - {column: D, row: 5629, expected_value: All persons, label: sex} + - {column: E, row: 5629, expected_value: Self-employed, label: employment type} + - {column: J, row: 5629, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5631 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5631, expected_value: E12000004, label: geography} + - {column: D, row: 5631, expected_value: All persons, label: sex} + - {column: E, row: 5631, expected_value: Self-employed, label: employment type} + - {column: J, row: 5631, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5633 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5633, expected_value: E12000004, label: geography} + - {column: D, row: 5633, expected_value: All persons, label: sex} + - {column: E, row: 5633, expected_value: Self-employed, label: employment type} + - {column: J, row: 5633, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5635 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5635, expected_value: E12000004, label: geography} + - {column: D, row: 5635, expected_value: All persons, label: sex} + - {column: E, row: 5635, expected_value: Self-employed, label: employment type} + - {column: J, row: 5635, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5637 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5637, expected_value: E12000004, label: geography} + - {column: D, row: 5637, expected_value: All persons, label: sex} + - {column: E, row: 5637, expected_value: Self-employed, label: employment type} + - {column: J, row: 5637, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5645 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5645, expected_value: E12000004, label: geography} + - {column: D, row: 5645, expected_value: All persons, label: sex} + - {column: E, row: 5645, expected_value: Self-employed, label: employment type} + - {column: J, row: 5645, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5647 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5647, expected_value: E12000004, label: geography} + - {column: D, row: 5647, expected_value: All persons, label: sex} + - {column: E, row: 5647, expected_value: Self-employed, label: employment type} + - {column: J, row: 5647, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5649 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5649, expected_value: E12000004, label: geography} + - {column: D, row: 5649, expected_value: All persons, label: sex} + - {column: E, row: 5649, expected_value: Self-employed, label: employment type} + - {column: J, row: 5649, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5651 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5651, expected_value: E12000004, label: geography} + - {column: D, row: 5651, expected_value: All persons, label: sex} + - {column: E, row: 5651, expected_value: Self-employed, label: employment type} + - {column: J, row: 5651, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5655 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5655, expected_value: E12000004, label: geography} + - {column: D, row: 5655, expected_value: All persons, label: sex} + - {column: E, row: 5655, expected_value: Self-employed, label: employment type} + - {column: J, row: 5655, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5657 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5657, expected_value: E12000004, label: geography} + - {column: D, row: 5657, expected_value: All persons, label: sex} + - {column: E, row: 5657, expected_value: Self-employed, label: employment type} + - {column: J, row: 5657, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5659 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5659, expected_value: E12000004, label: geography} + - {column: D, row: 5659, expected_value: All persons, label: sex} + - {column: E, row: 5659, expected_value: Self-employed, label: employment type} + - {column: J, row: 5659, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5661 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5661, expected_value: E12000004, label: geography} + - {column: D, row: 5661, expected_value: All persons, label: sex} + - {column: E, row: 5661, expected_value: Self-employed, label: employment type} + - {column: J, row: 5661, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5663 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5663, expected_value: E12000004, label: geography} + - {column: D, row: 5663, expected_value: All persons, label: sex} + - {column: E, row: 5663, expected_value: Self-employed, label: employment type} + - {column: J, row: 5663, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5665 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5665, expected_value: E12000004, label: geography} + - {column: D, row: 5665, expected_value: All persons, label: sex} + - {column: E, row: 5665, expected_value: Self-employed, label: employment type} + - {column: J, row: 5665, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5667 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5667, expected_value: E12000004, label: geography} + - {column: D, row: 5667, expected_value: All persons, label: sex} + - {column: E, row: 5667, expected_value: Self-employed, label: employment type} + - {column: J, row: 5667, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5669 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5669, expected_value: E12000004, label: geography} + - {column: D, row: 5669, expected_value: All persons, label: sex} + - {column: E, row: 5669, expected_value: Self-employed, label: employment type} + - {column: J, row: 5669, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5673 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5673, expected_value: E12000004, label: geography} + - {column: D, row: 5673, expected_value: All persons, label: sex} + - {column: E, row: 5673, expected_value: Self-employed, label: employment type} + - {column: J, row: 5673, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5675 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5675, expected_value: E12000004, label: geography} + - {column: D, row: 5675, expected_value: All persons, label: sex} + - {column: E, row: 5675, expected_value: Self-employed, label: employment type} + - {column: J, row: 5675, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5679 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5679, expected_value: E12000004, label: geography} + - {column: D, row: 5679, expected_value: All persons, label: sex} + - {column: E, row: 5679, expected_value: Self-employed, label: employment type} + - {column: J, row: 5679, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5681 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5681, expected_value: E12000004, label: geography} + - {column: D, row: 5681, expected_value: All persons, label: sex} + - {column: E, row: 5681, expected_value: Self-employed, label: employment type} + - {column: J, row: 5681, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5683 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5683, expected_value: E12000004, label: geography} + - {column: D, row: 5683, expected_value: All persons, label: sex} + - {column: E, row: 5683, expected_value: Self-employed, label: employment type} + - {column: J, row: 5683, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5685 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5685, expected_value: E12000004, label: geography} + - {column: D, row: 5685, expected_value: All persons, label: sex} + - {column: E, row: 5685, expected_value: Self-employed, label: employment type} + - {column: J, row: 5685, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5689 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5689, expected_value: E12000004, label: geography} + - {column: D, row: 5689, expected_value: All persons, label: sex} + - {column: E, row: 5689, expected_value: Self-employed, label: employment type} + - {column: J, row: 5689, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5258 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5258, expected_value: E12000004, label: geography} + - {column: D, row: 5258, expected_value: Males, label: sex} + - {column: E, row: 5258, expected_value: Total, label: employment type} + - {column: J, row: 5258, expected_value: Value, label: measure} + - {column: L, row: 5259, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5260 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5260, expected_value: E12000004, label: geography} + - {column: D, row: 5260, expected_value: Males, label: sex} + - {column: E, row: 5260, expected_value: Total, label: employment type} + - {column: J, row: 5260, expected_value: Value, label: measure} + - {column: L, row: 5261, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5262 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5262, expected_value: E12000004, label: geography} + - {column: D, row: 5262, expected_value: Males, label: sex} + - {column: E, row: 5262, expected_value: Total, label: employment type} + - {column: J, row: 5262, expected_value: Value, label: measure} + - {column: L, row: 5263, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5264 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5264, expected_value: E12000004, label: geography} + - {column: D, row: 5264, expected_value: Males, label: sex} + - {column: E, row: 5264, expected_value: Total, label: employment type} + - {column: J, row: 5264, expected_value: Value, label: measure} + - {column: L, row: 5265, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5266 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5266, expected_value: E12000004, label: geography} + - {column: D, row: 5266, expected_value: Males, label: sex} + - {column: E, row: 5266, expected_value: Total, label: employment type} + - {column: J, row: 5266, expected_value: Value, label: measure} + - {column: L, row: 5267, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5268 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5268, expected_value: E12000004, label: geography} + - {column: D, row: 5268, expected_value: Males, label: sex} + - {column: E, row: 5268, expected_value: Total, label: employment type} + - {column: J, row: 5268, expected_value: Value, label: measure} + - {column: L, row: 5269, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5270 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5270, expected_value: E12000004, label: geography} + - {column: D, row: 5270, expected_value: Males, label: sex} + - {column: E, row: 5270, expected_value: Total, label: employment type} + - {column: J, row: 5270, expected_value: Value, label: measure} + - {column: L, row: 5271, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5272 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5272, expected_value: E12000004, label: geography} + - {column: D, row: 5272, expected_value: Males, label: sex} + - {column: E, row: 5272, expected_value: Total, label: employment type} + - {column: J, row: 5272, expected_value: Value, label: measure} + - {column: L, row: 5273, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5274 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5274, expected_value: E12000004, label: geography} + - {column: D, row: 5274, expected_value: Males, label: sex} + - {column: E, row: 5274, expected_value: Total, label: employment type} + - {column: J, row: 5274, expected_value: Value, label: measure} + - {column: L, row: 5275, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5276 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5276, expected_value: E12000004, label: geography} + - {column: D, row: 5276, expected_value: Males, label: sex} + - {column: E, row: 5276, expected_value: Total, label: employment type} + - {column: J, row: 5276, expected_value: Value, label: measure} + - {column: L, row: 5277, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5278 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5278, expected_value: E12000004, label: geography} + - {column: D, row: 5278, expected_value: Males, label: sex} + - {column: E, row: 5278, expected_value: Total, label: employment type} + - {column: J, row: 5278, expected_value: Value, label: measure} + - {column: L, row: 5279, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5280 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5280, expected_value: E12000004, label: geography} + - {column: D, row: 5280, expected_value: Males, label: sex} + - {column: E, row: 5280, expected_value: Total, label: employment type} + - {column: J, row: 5280, expected_value: Value, label: measure} + - {column: L, row: 5281, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5282 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5282, expected_value: E12000004, label: geography} + - {column: D, row: 5282, expected_value: Males, label: sex} + - {column: E, row: 5282, expected_value: Total, label: employment type} + - {column: J, row: 5282, expected_value: Value, label: measure} + - {column: L, row: 5283, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5284 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5284, expected_value: E12000004, label: geography} + - {column: D, row: 5284, expected_value: Males, label: sex} + - {column: E, row: 5284, expected_value: Total, label: employment type} + - {column: J, row: 5284, expected_value: Value, label: measure} + - {column: L, row: 5285, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5286 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5286, expected_value: E12000004, label: geography} + - {column: D, row: 5286, expected_value: Males, label: sex} + - {column: E, row: 5286, expected_value: Total, label: employment type} + - {column: J, row: 5286, expected_value: Value, label: measure} + - {column: L, row: 5287, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5288 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5288, expected_value: E12000004, label: geography} + - {column: D, row: 5288, expected_value: Males, label: sex} + - {column: E, row: 5288, expected_value: Total, label: employment type} + - {column: J, row: 5288, expected_value: Value, label: measure} + - {column: L, row: 5289, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5290 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5290, expected_value: E12000004, label: geography} + - {column: D, row: 5290, expected_value: Males, label: sex} + - {column: E, row: 5290, expected_value: Total, label: employment type} + - {column: J, row: 5290, expected_value: Value, label: measure} + - {column: L, row: 5291, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5292 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5292, expected_value: E12000004, label: geography} + - {column: D, row: 5292, expected_value: Males, label: sex} + - {column: E, row: 5292, expected_value: Total, label: employment type} + - {column: J, row: 5292, expected_value: Value, label: measure} + - {column: L, row: 5293, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5294 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5294, expected_value: E12000004, label: geography} + - {column: D, row: 5294, expected_value: Males, label: sex} + - {column: E, row: 5294, expected_value: Total, label: employment type} + - {column: J, row: 5294, expected_value: Value, label: measure} + - {column: L, row: 5295, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5296 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5296, expected_value: E12000004, label: geography} + - {column: D, row: 5296, expected_value: Males, label: sex} + - {column: E, row: 5296, expected_value: Total, label: employment type} + - {column: J, row: 5296, expected_value: Value, label: measure} + - {column: L, row: 5297, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5298 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5298, expected_value: E12000004, label: geography} + - {column: D, row: 5298, expected_value: Males, label: sex} + - {column: E, row: 5298, expected_value: Total, label: employment type} + - {column: J, row: 5298, expected_value: Value, label: measure} + - {column: L, row: 5299, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5300 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5300, expected_value: E12000004, label: geography} + - {column: D, row: 5300, expected_value: Males, label: sex} + - {column: E, row: 5300, expected_value: Total, label: employment type} + - {column: J, row: 5300, expected_value: Value, label: measure} + - {column: L, row: 5301, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5302 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5302, expected_value: E12000004, label: geography} + - {column: D, row: 5302, expected_value: Males, label: sex} + - {column: E, row: 5302, expected_value: Total, label: employment type} + - {column: J, row: 5302, expected_value: Value, label: measure} + - {column: L, row: 5303, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5304 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5304, expected_value: E12000004, label: geography} + - {column: D, row: 5304, expected_value: Males, label: sex} + - {column: E, row: 5304, expected_value: Total, label: employment type} + - {column: J, row: 5304, expected_value: Value, label: measure} + - {column: L, row: 5305, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5306 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5306, expected_value: E12000004, label: geography} + - {column: D, row: 5306, expected_value: Males, label: sex} + - {column: E, row: 5306, expected_value: Total, label: employment type} + - {column: J, row: 5306, expected_value: Value, label: measure} + - {column: L, row: 5307, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5308 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5308, expected_value: E12000004, label: geography} + - {column: D, row: 5308, expected_value: Males, label: sex} + - {column: E, row: 5308, expected_value: Total, label: employment type} + - {column: J, row: 5308, expected_value: Value, label: measure} + - {column: L, row: 5309, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5312 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5312, expected_value: E12000004, label: geography} + - {column: D, row: 5312, expected_value: Males, label: sex} + - {column: E, row: 5312, expected_value: Total, label: employment type} + - {column: J, row: 5312, expected_value: Value, label: measure} + - {column: L, row: 5313, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5314 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5314, expected_value: E12000004, label: geography} + - {column: D, row: 5314, expected_value: Males, label: sex} + - {column: E, row: 5314, expected_value: Total, label: employment type} + - {column: J, row: 5314, expected_value: Value, label: measure} + - {column: L, row: 5315, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5316 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5316, expected_value: E12000004, label: geography} + - {column: D, row: 5316, expected_value: Males, label: sex} + - {column: E, row: 5316, expected_value: Total, label: employment type} + - {column: J, row: 5316, expected_value: Value, label: measure} + - {column: L, row: 5317, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5318 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5318, expected_value: E12000004, label: geography} + - {column: D, row: 5318, expected_value: Males, label: sex} + - {column: E, row: 5318, expected_value: Total, label: employment type} + - {column: J, row: 5318, expected_value: Value, label: measure} + - {column: L, row: 5319, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5320 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5320, expected_value: E12000004, label: geography} + - {column: D, row: 5320, expected_value: Males, label: sex} + - {column: E, row: 5320, expected_value: Total, label: employment type} + - {column: J, row: 5320, expected_value: Value, label: measure} + - {column: L, row: 5321, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5322 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5322, expected_value: E12000004, label: geography} + - {column: D, row: 5322, expected_value: Males, label: sex} + - {column: E, row: 5322, expected_value: Total, label: employment type} + - {column: J, row: 5322, expected_value: Value, label: measure} + - {column: L, row: 5323, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5324 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5324, expected_value: E12000004, label: geography} + - {column: D, row: 5324, expected_value: Males, label: sex} + - {column: E, row: 5324, expected_value: Total, label: employment type} + - {column: J, row: 5324, expected_value: Value, label: measure} + - {column: L, row: 5325, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5326 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5326, expected_value: E12000004, label: geography} + - {column: D, row: 5326, expected_value: Males, label: sex} + - {column: E, row: 5326, expected_value: Total, label: employment type} + - {column: J, row: 5326, expected_value: Value, label: measure} + - {column: L, row: 5327, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5328 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5328, expected_value: E12000004, label: geography} + - {column: D, row: 5328, expected_value: Males, label: sex} + - {column: E, row: 5328, expected_value: Total, label: employment type} + - {column: J, row: 5328, expected_value: Value, label: measure} + - {column: L, row: 5329, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5259 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5259, expected_value: E12000004, label: geography} + - {column: D, row: 5259, expected_value: Males, label: sex} + - {column: E, row: 5259, expected_value: Total, label: employment type} + - {column: J, row: 5259, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5261 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5261, expected_value: E12000004, label: geography} + - {column: D, row: 5261, expected_value: Males, label: sex} + - {column: E, row: 5261, expected_value: Total, label: employment type} + - {column: J, row: 5261, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5263 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5263, expected_value: E12000004, label: geography} + - {column: D, row: 5263, expected_value: Males, label: sex} + - {column: E, row: 5263, expected_value: Total, label: employment type} + - {column: J, row: 5263, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5265 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5265, expected_value: E12000004, label: geography} + - {column: D, row: 5265, expected_value: Males, label: sex} + - {column: E, row: 5265, expected_value: Total, label: employment type} + - {column: J, row: 5265, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5267 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5267, expected_value: E12000004, label: geography} + - {column: D, row: 5267, expected_value: Males, label: sex} + - {column: E, row: 5267, expected_value: Total, label: employment type} + - {column: J, row: 5267, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5269 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5269, expected_value: E12000004, label: geography} + - {column: D, row: 5269, expected_value: Males, label: sex} + - {column: E, row: 5269, expected_value: Total, label: employment type} + - {column: J, row: 5269, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5271 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5271, expected_value: E12000004, label: geography} + - {column: D, row: 5271, expected_value: Males, label: sex} + - {column: E, row: 5271, expected_value: Total, label: employment type} + - {column: J, row: 5271, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5273 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5273, expected_value: E12000004, label: geography} + - {column: D, row: 5273, expected_value: Males, label: sex} + - {column: E, row: 5273, expected_value: Total, label: employment type} + - {column: J, row: 5273, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5275 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5275, expected_value: E12000004, label: geography} + - {column: D, row: 5275, expected_value: Males, label: sex} + - {column: E, row: 5275, expected_value: Total, label: employment type} + - {column: J, row: 5275, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5277 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5277, expected_value: E12000004, label: geography} + - {column: D, row: 5277, expected_value: Males, label: sex} + - {column: E, row: 5277, expected_value: Total, label: employment type} + - {column: J, row: 5277, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5279 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5279, expected_value: E12000004, label: geography} + - {column: D, row: 5279, expected_value: Males, label: sex} + - {column: E, row: 5279, expected_value: Total, label: employment type} + - {column: J, row: 5279, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5281 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5281, expected_value: E12000004, label: geography} + - {column: D, row: 5281, expected_value: Males, label: sex} + - {column: E, row: 5281, expected_value: Total, label: employment type} + - {column: J, row: 5281, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5283 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5283, expected_value: E12000004, label: geography} + - {column: D, row: 5283, expected_value: Males, label: sex} + - {column: E, row: 5283, expected_value: Total, label: employment type} + - {column: J, row: 5283, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5285 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5285, expected_value: E12000004, label: geography} + - {column: D, row: 5285, expected_value: Males, label: sex} + - {column: E, row: 5285, expected_value: Total, label: employment type} + - {column: J, row: 5285, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5287 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5287, expected_value: E12000004, label: geography} + - {column: D, row: 5287, expected_value: Males, label: sex} + - {column: E, row: 5287, expected_value: Total, label: employment type} + - {column: J, row: 5287, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5289 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5289, expected_value: E12000004, label: geography} + - {column: D, row: 5289, expected_value: Males, label: sex} + - {column: E, row: 5289, expected_value: Total, label: employment type} + - {column: J, row: 5289, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5291 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5291, expected_value: E12000004, label: geography} + - {column: D, row: 5291, expected_value: Males, label: sex} + - {column: E, row: 5291, expected_value: Total, label: employment type} + - {column: J, row: 5291, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5295 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5295, expected_value: E12000004, label: geography} + - {column: D, row: 5295, expected_value: Males, label: sex} + - {column: E, row: 5295, expected_value: Total, label: employment type} + - {column: J, row: 5295, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5297 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5297, expected_value: E12000004, label: geography} + - {column: D, row: 5297, expected_value: Males, label: sex} + - {column: E, row: 5297, expected_value: Total, label: employment type} + - {column: J, row: 5297, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5299 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5299, expected_value: E12000004, label: geography} + - {column: D, row: 5299, expected_value: Males, label: sex} + - {column: E, row: 5299, expected_value: Total, label: employment type} + - {column: J, row: 5299, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5301 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5301, expected_value: E12000004, label: geography} + - {column: D, row: 5301, expected_value: Males, label: sex} + - {column: E, row: 5301, expected_value: Total, label: employment type} + - {column: J, row: 5301, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5303 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5303, expected_value: E12000004, label: geography} + - {column: D, row: 5303, expected_value: Males, label: sex} + - {column: E, row: 5303, expected_value: Total, label: employment type} + - {column: J, row: 5303, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5305 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5305, expected_value: E12000004, label: geography} + - {column: D, row: 5305, expected_value: Males, label: sex} + - {column: E, row: 5305, expected_value: Total, label: employment type} + - {column: J, row: 5305, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5307 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5307, expected_value: E12000004, label: geography} + - {column: D, row: 5307, expected_value: Males, label: sex} + - {column: E, row: 5307, expected_value: Total, label: employment type} + - {column: J, row: 5307, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5309 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5309, expected_value: E12000004, label: geography} + - {column: D, row: 5309, expected_value: Males, label: sex} + - {column: E, row: 5309, expected_value: Total, label: employment type} + - {column: J, row: 5309, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5313 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5313, expected_value: E12000004, label: geography} + - {column: D, row: 5313, expected_value: Males, label: sex} + - {column: E, row: 5313, expected_value: Total, label: employment type} + - {column: J, row: 5313, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5315 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5315, expected_value: E12000004, label: geography} + - {column: D, row: 5315, expected_value: Males, label: sex} + - {column: E, row: 5315, expected_value: Total, label: employment type} + - {column: J, row: 5315, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5317 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5317, expected_value: E12000004, label: geography} + - {column: D, row: 5317, expected_value: Males, label: sex} + - {column: E, row: 5317, expected_value: Total, label: employment type} + - {column: J, row: 5317, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5319 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5319, expected_value: E12000004, label: geography} + - {column: D, row: 5319, expected_value: Males, label: sex} + - {column: E, row: 5319, expected_value: Total, label: employment type} + - {column: J, row: 5319, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5321 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5321, expected_value: E12000004, label: geography} + - {column: D, row: 5321, expected_value: Males, label: sex} + - {column: E, row: 5321, expected_value: Total, label: employment type} + - {column: J, row: 5321, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5323 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5323, expected_value: E12000004, label: geography} + - {column: D, row: 5323, expected_value: Males, label: sex} + - {column: E, row: 5323, expected_value: Total, label: employment type} + - {column: J, row: 5323, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5325 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5325, expected_value: E12000004, label: geography} + - {column: D, row: 5325, expected_value: Males, label: sex} + - {column: E, row: 5325, expected_value: Total, label: employment type} + - {column: J, row: 5325, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5327 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5327, expected_value: E12000004, label: geography} + - {column: D, row: 5327, expected_value: Males, label: sex} + - {column: E, row: 5327, expected_value: Total, label: employment type} + - {column: J, row: 5327, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5329 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5329, expected_value: E12000004, label: geography} + - {column: D, row: 5329, expected_value: Males, label: sex} + - {column: E, row: 5329, expected_value: Total, label: employment type} + - {column: J, row: 5329, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5474 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5474, expected_value: E12000004, label: geography} + - {column: D, row: 5474, expected_value: Males, label: sex} + - {column: E, row: 5474, expected_value: Employee, label: employment type} + - {column: J, row: 5474, expected_value: Value, label: measure} + - {column: L, row: 5475, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5476 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5476, expected_value: E12000004, label: geography} + - {column: D, row: 5476, expected_value: Males, label: sex} + - {column: E, row: 5476, expected_value: Employee, label: employment type} + - {column: J, row: 5476, expected_value: Value, label: measure} + - {column: L, row: 5477, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5478 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5478, expected_value: E12000004, label: geography} + - {column: D, row: 5478, expected_value: Males, label: sex} + - {column: E, row: 5478, expected_value: Employee, label: employment type} + - {column: J, row: 5478, expected_value: Value, label: measure} + - {column: L, row: 5479, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5480 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5480, expected_value: E12000004, label: geography} + - {column: D, row: 5480, expected_value: Males, label: sex} + - {column: E, row: 5480, expected_value: Employee, label: employment type} + - {column: J, row: 5480, expected_value: Value, label: measure} + - {column: L, row: 5481, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5482 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5482, expected_value: E12000004, label: geography} + - {column: D, row: 5482, expected_value: Males, label: sex} + - {column: E, row: 5482, expected_value: Employee, label: employment type} + - {column: J, row: 5482, expected_value: Value, label: measure} + - {column: L, row: 5483, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5484 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5484, expected_value: E12000004, label: geography} + - {column: D, row: 5484, expected_value: Males, label: sex} + - {column: E, row: 5484, expected_value: Employee, label: employment type} + - {column: J, row: 5484, expected_value: Value, label: measure} + - {column: L, row: 5485, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5486 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5486, expected_value: E12000004, label: geography} + - {column: D, row: 5486, expected_value: Males, label: sex} + - {column: E, row: 5486, expected_value: Employee, label: employment type} + - {column: J, row: 5486, expected_value: Value, label: measure} + - {column: L, row: 5487, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5488 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5488, expected_value: E12000004, label: geography} + - {column: D, row: 5488, expected_value: Males, label: sex} + - {column: E, row: 5488, expected_value: Employee, label: employment type} + - {column: J, row: 5488, expected_value: Value, label: measure} + - {column: L, row: 5489, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5490 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5490, expected_value: E12000004, label: geography} + - {column: D, row: 5490, expected_value: Males, label: sex} + - {column: E, row: 5490, expected_value: Employee, label: employment type} + - {column: J, row: 5490, expected_value: Value, label: measure} + - {column: L, row: 5491, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5492 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5492, expected_value: E12000004, label: geography} + - {column: D, row: 5492, expected_value: Males, label: sex} + - {column: E, row: 5492, expected_value: Employee, label: employment type} + - {column: J, row: 5492, expected_value: Value, label: measure} + - {column: L, row: 5493, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5494 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5494, expected_value: E12000004, label: geography} + - {column: D, row: 5494, expected_value: Males, label: sex} + - {column: E, row: 5494, expected_value: Employee, label: employment type} + - {column: J, row: 5494, expected_value: Value, label: measure} + - {column: L, row: 5495, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5496 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5496, expected_value: E12000004, label: geography} + - {column: D, row: 5496, expected_value: Males, label: sex} + - {column: E, row: 5496, expected_value: Employee, label: employment type} + - {column: J, row: 5496, expected_value: Value, label: measure} + - {column: L, row: 5497, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5498 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5498, expected_value: E12000004, label: geography} + - {column: D, row: 5498, expected_value: Males, label: sex} + - {column: E, row: 5498, expected_value: Employee, label: employment type} + - {column: J, row: 5498, expected_value: Value, label: measure} + - {column: L, row: 5499, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5500 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5500, expected_value: E12000004, label: geography} + - {column: D, row: 5500, expected_value: Males, label: sex} + - {column: E, row: 5500, expected_value: Employee, label: employment type} + - {column: J, row: 5500, expected_value: Value, label: measure} + - {column: L, row: 5501, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5502 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5502, expected_value: E12000004, label: geography} + - {column: D, row: 5502, expected_value: Males, label: sex} + - {column: E, row: 5502, expected_value: Employee, label: employment type} + - {column: J, row: 5502, expected_value: Value, label: measure} + - {column: L, row: 5503, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5504 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5504, expected_value: E12000004, label: geography} + - {column: D, row: 5504, expected_value: Males, label: sex} + - {column: E, row: 5504, expected_value: Employee, label: employment type} + - {column: J, row: 5504, expected_value: Value, label: measure} + - {column: L, row: 5505, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5506 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5506, expected_value: E12000004, label: geography} + - {column: D, row: 5506, expected_value: Males, label: sex} + - {column: E, row: 5506, expected_value: Employee, label: employment type} + - {column: J, row: 5506, expected_value: Value, label: measure} + - {column: L, row: 5507, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5508 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5508, expected_value: E12000004, label: geography} + - {column: D, row: 5508, expected_value: Males, label: sex} + - {column: E, row: 5508, expected_value: Employee, label: employment type} + - {column: J, row: 5508, expected_value: Value, label: measure} + - {column: L, row: 5509, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5510 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5510, expected_value: E12000004, label: geography} + - {column: D, row: 5510, expected_value: Males, label: sex} + - {column: E, row: 5510, expected_value: Employee, label: employment type} + - {column: J, row: 5510, expected_value: Value, label: measure} + - {column: L, row: 5511, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5512 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5512, expected_value: E12000004, label: geography} + - {column: D, row: 5512, expected_value: Males, label: sex} + - {column: E, row: 5512, expected_value: Employee, label: employment type} + - {column: J, row: 5512, expected_value: Value, label: measure} + - {column: L, row: 5513, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5514 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5514, expected_value: E12000004, label: geography} + - {column: D, row: 5514, expected_value: Males, label: sex} + - {column: E, row: 5514, expected_value: Employee, label: employment type} + - {column: J, row: 5514, expected_value: Value, label: measure} + - {column: L, row: 5515, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5516 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5516, expected_value: E12000004, label: geography} + - {column: D, row: 5516, expected_value: Males, label: sex} + - {column: E, row: 5516, expected_value: Employee, label: employment type} + - {column: J, row: 5516, expected_value: Value, label: measure} + - {column: L, row: 5517, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5518 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5518, expected_value: E12000004, label: geography} + - {column: D, row: 5518, expected_value: Males, label: sex} + - {column: E, row: 5518, expected_value: Employee, label: employment type} + - {column: J, row: 5518, expected_value: Value, label: measure} + - {column: L, row: 5519, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5520 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5520, expected_value: E12000004, label: geography} + - {column: D, row: 5520, expected_value: Males, label: sex} + - {column: E, row: 5520, expected_value: Employee, label: employment type} + - {column: J, row: 5520, expected_value: Value, label: measure} + - {column: L, row: 5521, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5522 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5522, expected_value: E12000004, label: geography} + - {column: D, row: 5522, expected_value: Males, label: sex} + - {column: E, row: 5522, expected_value: Employee, label: employment type} + - {column: J, row: 5522, expected_value: Value, label: measure} + - {column: L, row: 5523, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5524 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5524, expected_value: E12000004, label: geography} + - {column: D, row: 5524, expected_value: Males, label: sex} + - {column: E, row: 5524, expected_value: Employee, label: employment type} + - {column: J, row: 5524, expected_value: Value, label: measure} + - {column: L, row: 5525, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5528 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5528, expected_value: E12000004, label: geography} + - {column: D, row: 5528, expected_value: Males, label: sex} + - {column: E, row: 5528, expected_value: Employee, label: employment type} + - {column: J, row: 5528, expected_value: Value, label: measure} + - {column: L, row: 5529, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5530 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5530, expected_value: E12000004, label: geography} + - {column: D, row: 5530, expected_value: Males, label: sex} + - {column: E, row: 5530, expected_value: Employee, label: employment type} + - {column: J, row: 5530, expected_value: Value, label: measure} + - {column: L, row: 5531, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5532 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5532, expected_value: E12000004, label: geography} + - {column: D, row: 5532, expected_value: Males, label: sex} + - {column: E, row: 5532, expected_value: Employee, label: employment type} + - {column: J, row: 5532, expected_value: Value, label: measure} + - {column: L, row: 5533, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5534 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5534, expected_value: E12000004, label: geography} + - {column: D, row: 5534, expected_value: Males, label: sex} + - {column: E, row: 5534, expected_value: Employee, label: employment type} + - {column: J, row: 5534, expected_value: Value, label: measure} + - {column: L, row: 5535, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5536 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5536, expected_value: E12000004, label: geography} + - {column: D, row: 5536, expected_value: Males, label: sex} + - {column: E, row: 5536, expected_value: Employee, label: employment type} + - {column: J, row: 5536, expected_value: Value, label: measure} + - {column: L, row: 5537, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5538 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5538, expected_value: E12000004, label: geography} + - {column: D, row: 5538, expected_value: Males, label: sex} + - {column: E, row: 5538, expected_value: Employee, label: employment type} + - {column: J, row: 5538, expected_value: Value, label: measure} + - {column: L, row: 5539, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5540 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5540, expected_value: E12000004, label: geography} + - {column: D, row: 5540, expected_value: Males, label: sex} + - {column: E, row: 5540, expected_value: Employee, label: employment type} + - {column: J, row: 5540, expected_value: Value, label: measure} + - {column: L, row: 5541, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5542 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5542, expected_value: E12000004, label: geography} + - {column: D, row: 5542, expected_value: Males, label: sex} + - {column: E, row: 5542, expected_value: Employee, label: employment type} + - {column: J, row: 5542, expected_value: Value, label: measure} + - {column: L, row: 5543, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5544 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5544, expected_value: E12000004, label: geography} + - {column: D, row: 5544, expected_value: Males, label: sex} + - {column: E, row: 5544, expected_value: Employee, label: employment type} + - {column: J, row: 5544, expected_value: Value, label: measure} + - {column: L, row: 5545, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5475 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5475, expected_value: E12000004, label: geography} + - {column: D, row: 5475, expected_value: Males, label: sex} + - {column: E, row: 5475, expected_value: Employee, label: employment type} + - {column: J, row: 5475, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5477 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5477, expected_value: E12000004, label: geography} + - {column: D, row: 5477, expected_value: Males, label: sex} + - {column: E, row: 5477, expected_value: Employee, label: employment type} + - {column: J, row: 5477, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5479 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5479, expected_value: E12000004, label: geography} + - {column: D, row: 5479, expected_value: Males, label: sex} + - {column: E, row: 5479, expected_value: Employee, label: employment type} + - {column: J, row: 5479, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5481 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5481, expected_value: E12000004, label: geography} + - {column: D, row: 5481, expected_value: Males, label: sex} + - {column: E, row: 5481, expected_value: Employee, label: employment type} + - {column: J, row: 5481, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5483 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5483, expected_value: E12000004, label: geography} + - {column: D, row: 5483, expected_value: Males, label: sex} + - {column: E, row: 5483, expected_value: Employee, label: employment type} + - {column: J, row: 5483, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5485 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5485, expected_value: E12000004, label: geography} + - {column: D, row: 5485, expected_value: Males, label: sex} + - {column: E, row: 5485, expected_value: Employee, label: employment type} + - {column: J, row: 5485, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5487 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5487, expected_value: E12000004, label: geography} + - {column: D, row: 5487, expected_value: Males, label: sex} + - {column: E, row: 5487, expected_value: Employee, label: employment type} + - {column: J, row: 5487, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5489 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5489, expected_value: E12000004, label: geography} + - {column: D, row: 5489, expected_value: Males, label: sex} + - {column: E, row: 5489, expected_value: Employee, label: employment type} + - {column: J, row: 5489, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5491 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5491, expected_value: E12000004, label: geography} + - {column: D, row: 5491, expected_value: Males, label: sex} + - {column: E, row: 5491, expected_value: Employee, label: employment type} + - {column: J, row: 5491, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5493 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5493, expected_value: E12000004, label: geography} + - {column: D, row: 5493, expected_value: Males, label: sex} + - {column: E, row: 5493, expected_value: Employee, label: employment type} + - {column: J, row: 5493, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5495 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5495, expected_value: E12000004, label: geography} + - {column: D, row: 5495, expected_value: Males, label: sex} + - {column: E, row: 5495, expected_value: Employee, label: employment type} + - {column: J, row: 5495, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5497 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5497, expected_value: E12000004, label: geography} + - {column: D, row: 5497, expected_value: Males, label: sex} + - {column: E, row: 5497, expected_value: Employee, label: employment type} + - {column: J, row: 5497, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5499 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5499, expected_value: E12000004, label: geography} + - {column: D, row: 5499, expected_value: Males, label: sex} + - {column: E, row: 5499, expected_value: Employee, label: employment type} + - {column: J, row: 5499, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5501 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5501, expected_value: E12000004, label: geography} + - {column: D, row: 5501, expected_value: Males, label: sex} + - {column: E, row: 5501, expected_value: Employee, label: employment type} + - {column: J, row: 5501, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5503 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5503, expected_value: E12000004, label: geography} + - {column: D, row: 5503, expected_value: Males, label: sex} + - {column: E, row: 5503, expected_value: Employee, label: employment type} + - {column: J, row: 5503, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5505 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5505, expected_value: E12000004, label: geography} + - {column: D, row: 5505, expected_value: Males, label: sex} + - {column: E, row: 5505, expected_value: Employee, label: employment type} + - {column: J, row: 5505, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5507 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5507, expected_value: E12000004, label: geography} + - {column: D, row: 5507, expected_value: Males, label: sex} + - {column: E, row: 5507, expected_value: Employee, label: employment type} + - {column: J, row: 5507, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5511 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5511, expected_value: E12000004, label: geography} + - {column: D, row: 5511, expected_value: Males, label: sex} + - {column: E, row: 5511, expected_value: Employee, label: employment type} + - {column: J, row: 5511, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5513 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5513, expected_value: E12000004, label: geography} + - {column: D, row: 5513, expected_value: Males, label: sex} + - {column: E, row: 5513, expected_value: Employee, label: employment type} + - {column: J, row: 5513, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5515 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5515, expected_value: E12000004, label: geography} + - {column: D, row: 5515, expected_value: Males, label: sex} + - {column: E, row: 5515, expected_value: Employee, label: employment type} + - {column: J, row: 5515, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5517 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5517, expected_value: E12000004, label: geography} + - {column: D, row: 5517, expected_value: Males, label: sex} + - {column: E, row: 5517, expected_value: Employee, label: employment type} + - {column: J, row: 5517, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5519 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5519, expected_value: E12000004, label: geography} + - {column: D, row: 5519, expected_value: Males, label: sex} + - {column: E, row: 5519, expected_value: Employee, label: employment type} + - {column: J, row: 5519, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5521 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5521, expected_value: E12000004, label: geography} + - {column: D, row: 5521, expected_value: Males, label: sex} + - {column: E, row: 5521, expected_value: Employee, label: employment type} + - {column: J, row: 5521, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5523 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5523, expected_value: E12000004, label: geography} + - {column: D, row: 5523, expected_value: Males, label: sex} + - {column: E, row: 5523, expected_value: Employee, label: employment type} + - {column: J, row: 5523, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5525 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5525, expected_value: E12000004, label: geography} + - {column: D, row: 5525, expected_value: Males, label: sex} + - {column: E, row: 5525, expected_value: Employee, label: employment type} + - {column: J, row: 5525, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5529 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5529, expected_value: E12000004, label: geography} + - {column: D, row: 5529, expected_value: Males, label: sex} + - {column: E, row: 5529, expected_value: Employee, label: employment type} + - {column: J, row: 5529, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5531 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5531, expected_value: E12000004, label: geography} + - {column: D, row: 5531, expected_value: Males, label: sex} + - {column: E, row: 5531, expected_value: Employee, label: employment type} + - {column: J, row: 5531, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5533 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5533, expected_value: E12000004, label: geography} + - {column: D, row: 5533, expected_value: Males, label: sex} + - {column: E, row: 5533, expected_value: Employee, label: employment type} + - {column: J, row: 5533, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5535 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5535, expected_value: E12000004, label: geography} + - {column: D, row: 5535, expected_value: Males, label: sex} + - {column: E, row: 5535, expected_value: Employee, label: employment type} + - {column: J, row: 5535, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5537 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5537, expected_value: E12000004, label: geography} + - {column: D, row: 5537, expected_value: Males, label: sex} + - {column: E, row: 5537, expected_value: Employee, label: employment type} + - {column: J, row: 5537, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5539 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5539, expected_value: E12000004, label: geography} + - {column: D, row: 5539, expected_value: Males, label: sex} + - {column: E, row: 5539, expected_value: Employee, label: employment type} + - {column: J, row: 5539, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5541 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5541, expected_value: E12000004, label: geography} + - {column: D, row: 5541, expected_value: Males, label: sex} + - {column: E, row: 5541, expected_value: Employee, label: employment type} + - {column: J, row: 5541, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5543 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5543, expected_value: E12000004, label: geography} + - {column: D, row: 5543, expected_value: Males, label: sex} + - {column: E, row: 5543, expected_value: Employee, label: employment type} + - {column: J, row: 5543, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5545 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5545, expected_value: E12000004, label: geography} + - {column: D, row: 5545, expected_value: Males, label: sex} + - {column: E, row: 5545, expected_value: Employee, label: employment type} + - {column: J, row: 5545, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5690 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5690, expected_value: E12000004, label: geography} + - {column: D, row: 5690, expected_value: Males, label: sex} + - {column: E, row: 5690, expected_value: Self-employed, label: employment type} + - {column: J, row: 5690, expected_value: Value, label: measure} + - {column: L, row: 5691, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5692 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5692, expected_value: E12000004, label: geography} + - {column: D, row: 5692, expected_value: Males, label: sex} + - {column: E, row: 5692, expected_value: Self-employed, label: employment type} + - {column: J, row: 5692, expected_value: Value, label: measure} + - {column: L, row: 5693, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5694 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5694, expected_value: E12000004, label: geography} + - {column: D, row: 5694, expected_value: Males, label: sex} + - {column: E, row: 5694, expected_value: Self-employed, label: employment type} + - {column: J, row: 5694, expected_value: Value, label: measure} + - {column: L, row: 5695, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5696 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5696, expected_value: E12000004, label: geography} + - {column: D, row: 5696, expected_value: Males, label: sex} + - {column: E, row: 5696, expected_value: Self-employed, label: employment type} + - {column: J, row: 5696, expected_value: Value, label: measure} + - {column: L, row: 5697, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5698 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5698, expected_value: E12000004, label: geography} + - {column: D, row: 5698, expected_value: Males, label: sex} + - {column: E, row: 5698, expected_value: Self-employed, label: employment type} + - {column: J, row: 5698, expected_value: Value, label: measure} + - {column: L, row: 5699, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5700 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5700, expected_value: E12000004, label: geography} + - {column: D, row: 5700, expected_value: Males, label: sex} + - {column: E, row: 5700, expected_value: Self-employed, label: employment type} + - {column: J, row: 5700, expected_value: Value, label: measure} + - {column: L, row: 5701, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5702 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5702, expected_value: E12000004, label: geography} + - {column: D, row: 5702, expected_value: Males, label: sex} + - {column: E, row: 5702, expected_value: Self-employed, label: employment type} + - {column: J, row: 5702, expected_value: Value, label: measure} + - {column: L, row: 5703, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5704 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5704, expected_value: E12000004, label: geography} + - {column: D, row: 5704, expected_value: Males, label: sex} + - {column: E, row: 5704, expected_value: Self-employed, label: employment type} + - {column: J, row: 5704, expected_value: Value, label: measure} + - {column: L, row: 5705, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5706 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5706, expected_value: E12000004, label: geography} + - {column: D, row: 5706, expected_value: Males, label: sex} + - {column: E, row: 5706, expected_value: Self-employed, label: employment type} + - {column: J, row: 5706, expected_value: Value, label: measure} + - {column: L, row: 5707, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5708 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5708, expected_value: E12000004, label: geography} + - {column: D, row: 5708, expected_value: Males, label: sex} + - {column: E, row: 5708, expected_value: Self-employed, label: employment type} + - {column: J, row: 5708, expected_value: Value, label: measure} + - {column: L, row: 5709, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5710 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5710, expected_value: E12000004, label: geography} + - {column: D, row: 5710, expected_value: Males, label: sex} + - {column: E, row: 5710, expected_value: Self-employed, label: employment type} + - {column: J, row: 5710, expected_value: Value, label: measure} + - {column: L, row: 5711, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5712 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5712, expected_value: E12000004, label: geography} + - {column: D, row: 5712, expected_value: Males, label: sex} + - {column: E, row: 5712, expected_value: Self-employed, label: employment type} + - {column: J, row: 5712, expected_value: Value, label: measure} + - {column: L, row: 5713, expected_value: F, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5714 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5714, expected_value: E12000004, label: geography} + - {column: D, row: 5714, expected_value: Males, label: sex} + - {column: E, row: 5714, expected_value: Self-employed, label: employment type} + - {column: J, row: 5714, expected_value: Value, label: measure} + - {column: L, row: 5715, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5716 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5716, expected_value: E12000004, label: geography} + - {column: D, row: 5716, expected_value: Males, label: sex} + - {column: E, row: 5716, expected_value: Self-employed, label: employment type} + - {column: J, row: 5716, expected_value: Value, label: measure} + - {column: L, row: 5717, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5718 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5718, expected_value: E12000004, label: geography} + - {column: D, row: 5718, expected_value: Males, label: sex} + - {column: E, row: 5718, expected_value: Self-employed, label: employment type} + - {column: J, row: 5718, expected_value: Value, label: measure} + - {column: L, row: 5719, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5720 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5720, expected_value: E12000004, label: geography} + - {column: D, row: 5720, expected_value: Males, label: sex} + - {column: E, row: 5720, expected_value: Self-employed, label: employment type} + - {column: J, row: 5720, expected_value: Value, label: measure} + - {column: L, row: 5721, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5722 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5722, expected_value: E12000004, label: geography} + - {column: D, row: 5722, expected_value: Males, label: sex} + - {column: E, row: 5722, expected_value: Self-employed, label: employment type} + - {column: J, row: 5722, expected_value: Value, label: measure} + - {column: L, row: 5723, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5726 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5726, expected_value: E12000004, label: geography} + - {column: D, row: 5726, expected_value: Males, label: sex} + - {column: E, row: 5726, expected_value: Self-employed, label: employment type} + - {column: J, row: 5726, expected_value: Value, label: measure} + - {column: L, row: 5727, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5728 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5728, expected_value: E12000004, label: geography} + - {column: D, row: 5728, expected_value: Males, label: sex} + - {column: E, row: 5728, expected_value: Self-employed, label: employment type} + - {column: J, row: 5728, expected_value: Value, label: measure} + - {column: L, row: 5729, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5730 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5730, expected_value: E12000004, label: geography} + - {column: D, row: 5730, expected_value: Males, label: sex} + - {column: E, row: 5730, expected_value: Self-employed, label: employment type} + - {column: J, row: 5730, expected_value: Value, label: measure} + - {column: L, row: 5731, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5732 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5732, expected_value: E12000004, label: geography} + - {column: D, row: 5732, expected_value: Males, label: sex} + - {column: E, row: 5732, expected_value: Self-employed, label: employment type} + - {column: J, row: 5732, expected_value: Value, label: measure} + - {column: L, row: 5733, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5734 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5734, expected_value: E12000004, label: geography} + - {column: D, row: 5734, expected_value: Males, label: sex} + - {column: E, row: 5734, expected_value: Self-employed, label: employment type} + - {column: J, row: 5734, expected_value: Value, label: measure} + - {column: L, row: 5735, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5736 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5736, expected_value: E12000004, label: geography} + - {column: D, row: 5736, expected_value: Males, label: sex} + - {column: E, row: 5736, expected_value: Self-employed, label: employment type} + - {column: J, row: 5736, expected_value: Value, label: measure} + - {column: L, row: 5737, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5738 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5738, expected_value: E12000004, label: geography} + - {column: D, row: 5738, expected_value: Males, label: sex} + - {column: E, row: 5738, expected_value: Self-employed, label: employment type} + - {column: J, row: 5738, expected_value: Value, label: measure} + - {column: L, row: 5739, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5740 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5740, expected_value: E12000004, label: geography} + - {column: D, row: 5740, expected_value: Males, label: sex} + - {column: E, row: 5740, expected_value: Self-employed, label: employment type} + - {column: J, row: 5740, expected_value: Value, label: measure} + - {column: L, row: 5741, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5744 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5744, expected_value: E12000004, label: geography} + - {column: D, row: 5744, expected_value: Males, label: sex} + - {column: E, row: 5744, expected_value: Self-employed, label: employment type} + - {column: J, row: 5744, expected_value: Value, label: measure} + - {column: L, row: 5745, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5746 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5746, expected_value: E12000004, label: geography} + - {column: D, row: 5746, expected_value: Males, label: sex} + - {column: E, row: 5746, expected_value: Self-employed, label: employment type} + - {column: J, row: 5746, expected_value: Value, label: measure} + - {column: L, row: 5747, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5750 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5750, expected_value: E12000004, label: geography} + - {column: D, row: 5750, expected_value: Males, label: sex} + - {column: E, row: 5750, expected_value: Self-employed, label: employment type} + - {column: J, row: 5750, expected_value: Value, label: measure} + - {column: L, row: 5751, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5752 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5752, expected_value: E12000004, label: geography} + - {column: D, row: 5752, expected_value: Males, label: sex} + - {column: E, row: 5752, expected_value: Self-employed, label: employment type} + - {column: J, row: 5752, expected_value: Value, label: measure} + - {column: L, row: 5753, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5754 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5754, expected_value: E12000004, label: geography} + - {column: D, row: 5754, expected_value: Males, label: sex} + - {column: E, row: 5754, expected_value: Self-employed, label: employment type} + - {column: J, row: 5754, expected_value: Value, label: measure} + - {column: L, row: 5755, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5756 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5756, expected_value: E12000004, label: geography} + - {column: D, row: 5756, expected_value: Males, label: sex} + - {column: E, row: 5756, expected_value: Self-employed, label: employment type} + - {column: J, row: 5756, expected_value: Value, label: measure} + - {column: L, row: 5757, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5758 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5758, expected_value: E12000004, label: geography} + - {column: D, row: 5758, expected_value: Males, label: sex} + - {column: E, row: 5758, expected_value: Self-employed, label: employment type} + - {column: J, row: 5758, expected_value: Value, label: measure} + - {column: L, row: 5759, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5760 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5760, expected_value: E12000004, label: geography} + - {column: D, row: 5760, expected_value: Males, label: sex} + - {column: E, row: 5760, expected_value: Self-employed, label: employment type} + - {column: J, row: 5760, expected_value: Value, label: measure} + - {column: L, row: 5761, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5691 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5691, expected_value: E12000004, label: geography} + - {column: D, row: 5691, expected_value: Males, label: sex} + - {column: E, row: 5691, expected_value: Self-employed, label: employment type} + - {column: J, row: 5691, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5693 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5693, expected_value: E12000004, label: geography} + - {column: D, row: 5693, expected_value: Males, label: sex} + - {column: E, row: 5693, expected_value: Self-employed, label: employment type} + - {column: J, row: 5693, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5695 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5695, expected_value: E12000004, label: geography} + - {column: D, row: 5695, expected_value: Males, label: sex} + - {column: E, row: 5695, expected_value: Self-employed, label: employment type} + - {column: J, row: 5695, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5697 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5697, expected_value: E12000004, label: geography} + - {column: D, row: 5697, expected_value: Males, label: sex} + - {column: E, row: 5697, expected_value: Self-employed, label: employment type} + - {column: J, row: 5697, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5699 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5699, expected_value: E12000004, label: geography} + - {column: D, row: 5699, expected_value: Males, label: sex} + - {column: E, row: 5699, expected_value: Self-employed, label: employment type} + - {column: J, row: 5699, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5701 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5701, expected_value: E12000004, label: geography} + - {column: D, row: 5701, expected_value: Males, label: sex} + - {column: E, row: 5701, expected_value: Self-employed, label: employment type} + - {column: J, row: 5701, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5703 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5703, expected_value: E12000004, label: geography} + - {column: D, row: 5703, expected_value: Males, label: sex} + - {column: E, row: 5703, expected_value: Self-employed, label: employment type} + - {column: J, row: 5703, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5705 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5705, expected_value: E12000004, label: geography} + - {column: D, row: 5705, expected_value: Males, label: sex} + - {column: E, row: 5705, expected_value: Self-employed, label: employment type} + - {column: J, row: 5705, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5707 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5707, expected_value: E12000004, label: geography} + - {column: D, row: 5707, expected_value: Males, label: sex} + - {column: E, row: 5707, expected_value: Self-employed, label: employment type} + - {column: J, row: 5707, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5709 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5709, expected_value: E12000004, label: geography} + - {column: D, row: 5709, expected_value: Males, label: sex} + - {column: E, row: 5709, expected_value: Self-employed, label: employment type} + - {column: J, row: 5709, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5717 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5717, expected_value: E12000004, label: geography} + - {column: D, row: 5717, expected_value: Males, label: sex} + - {column: E, row: 5717, expected_value: Self-employed, label: employment type} + - {column: J, row: 5717, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5719 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5719, expected_value: E12000004, label: geography} + - {column: D, row: 5719, expected_value: Males, label: sex} + - {column: E, row: 5719, expected_value: Self-employed, label: employment type} + - {column: J, row: 5719, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5727 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5727, expected_value: E12000004, label: geography} + - {column: D, row: 5727, expected_value: Males, label: sex} + - {column: E, row: 5727, expected_value: Self-employed, label: employment type} + - {column: J, row: 5727, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5729 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5729, expected_value: E12000004, label: geography} + - {column: D, row: 5729, expected_value: Males, label: sex} + - {column: E, row: 5729, expected_value: Self-employed, label: employment type} + - {column: J, row: 5729, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5731 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5731, expected_value: E12000004, label: geography} + - {column: D, row: 5731, expected_value: Males, label: sex} + - {column: E, row: 5731, expected_value: Self-employed, label: employment type} + - {column: J, row: 5731, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5733 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5733, expected_value: E12000004, label: geography} + - {column: D, row: 5733, expected_value: Males, label: sex} + - {column: E, row: 5733, expected_value: Self-employed, label: employment type} + - {column: J, row: 5733, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5737 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5737, expected_value: E12000004, label: geography} + - {column: D, row: 5737, expected_value: Males, label: sex} + - {column: E, row: 5737, expected_value: Self-employed, label: employment type} + - {column: J, row: 5737, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5745 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5745, expected_value: E12000004, label: geography} + - {column: D, row: 5745, expected_value: Males, label: sex} + - {column: E, row: 5745, expected_value: Self-employed, label: employment type} + - {column: J, row: 5745, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5747 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5747, expected_value: E12000004, label: geography} + - {column: D, row: 5747, expected_value: Males, label: sex} + - {column: E, row: 5747, expected_value: Self-employed, label: employment type} + - {column: J, row: 5747, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5751 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5751, expected_value: E12000004, label: geography} + - {column: D, row: 5751, expected_value: Males, label: sex} + - {column: E, row: 5751, expected_value: Self-employed, label: employment type} + - {column: J, row: 5751, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5755 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5755, expected_value: E12000004, label: geography} + - {column: D, row: 5755, expected_value: Males, label: sex} + - {column: E, row: 5755, expected_value: Self-employed, label: employment type} + - {column: J, row: 5755, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5757 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5757, expected_value: E12000004, label: geography} + - {column: D, row: 5757, expected_value: Males, label: sex} + - {column: E, row: 5757, expected_value: Self-employed, label: employment type} + - {column: J, row: 5757, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5761 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5761, expected_value: E12000004, label: geography} + - {column: D, row: 5761, expected_value: Males, label: sex} + - {column: E, row: 5761, expected_value: Self-employed, label: employment type} + - {column: J, row: 5761, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5330 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5330, expected_value: E12000004, label: geography} + - {column: D, row: 5330, expected_value: Females, label: sex} + - {column: E, row: 5330, expected_value: Total, label: employment type} + - {column: J, row: 5330, expected_value: Value, label: measure} + - {column: L, row: 5331, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5332 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5332, expected_value: E12000004, label: geography} + - {column: D, row: 5332, expected_value: Females, label: sex} + - {column: E, row: 5332, expected_value: Total, label: employment type} + - {column: J, row: 5332, expected_value: Value, label: measure} + - {column: L, row: 5333, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5334 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5334, expected_value: E12000004, label: geography} + - {column: D, row: 5334, expected_value: Females, label: sex} + - {column: E, row: 5334, expected_value: Total, label: employment type} + - {column: J, row: 5334, expected_value: Value, label: measure} + - {column: L, row: 5335, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5336 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5336, expected_value: E12000004, label: geography} + - {column: D, row: 5336, expected_value: Females, label: sex} + - {column: E, row: 5336, expected_value: Total, label: employment type} + - {column: J, row: 5336, expected_value: Value, label: measure} + - {column: L, row: 5337, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5338 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5338, expected_value: E12000004, label: geography} + - {column: D, row: 5338, expected_value: Females, label: sex} + - {column: E, row: 5338, expected_value: Total, label: employment type} + - {column: J, row: 5338, expected_value: Value, label: measure} + - {column: L, row: 5339, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5340 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5340, expected_value: E12000004, label: geography} + - {column: D, row: 5340, expected_value: Females, label: sex} + - {column: E, row: 5340, expected_value: Total, label: employment type} + - {column: J, row: 5340, expected_value: Value, label: measure} + - {column: L, row: 5341, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5342 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5342, expected_value: E12000004, label: geography} + - {column: D, row: 5342, expected_value: Females, label: sex} + - {column: E, row: 5342, expected_value: Total, label: employment type} + - {column: J, row: 5342, expected_value: Value, label: measure} + - {column: L, row: 5343, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5344 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5344, expected_value: E12000004, label: geography} + - {column: D, row: 5344, expected_value: Females, label: sex} + - {column: E, row: 5344, expected_value: Total, label: employment type} + - {column: J, row: 5344, expected_value: Value, label: measure} + - {column: L, row: 5345, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5346 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5346, expected_value: E12000004, label: geography} + - {column: D, row: 5346, expected_value: Females, label: sex} + - {column: E, row: 5346, expected_value: Total, label: employment type} + - {column: J, row: 5346, expected_value: Value, label: measure} + - {column: L, row: 5347, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5348 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5348, expected_value: E12000004, label: geography} + - {column: D, row: 5348, expected_value: Females, label: sex} + - {column: E, row: 5348, expected_value: Total, label: employment type} + - {column: J, row: 5348, expected_value: Value, label: measure} + - {column: L, row: 5349, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5350 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5350, expected_value: E12000004, label: geography} + - {column: D, row: 5350, expected_value: Females, label: sex} + - {column: E, row: 5350, expected_value: Total, label: employment type} + - {column: J, row: 5350, expected_value: Value, label: measure} + - {column: L, row: 5351, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5352 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5352, expected_value: E12000004, label: geography} + - {column: D, row: 5352, expected_value: Females, label: sex} + - {column: E, row: 5352, expected_value: Total, label: employment type} + - {column: J, row: 5352, expected_value: Value, label: measure} + - {column: L, row: 5353, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5354 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5354, expected_value: E12000004, label: geography} + - {column: D, row: 5354, expected_value: Females, label: sex} + - {column: E, row: 5354, expected_value: Total, label: employment type} + - {column: J, row: 5354, expected_value: Value, label: measure} + - {column: L, row: 5355, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5356 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5356, expected_value: E12000004, label: geography} + - {column: D, row: 5356, expected_value: Females, label: sex} + - {column: E, row: 5356, expected_value: Total, label: employment type} + - {column: J, row: 5356, expected_value: Value, label: measure} + - {column: L, row: 5357, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5358 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5358, expected_value: E12000004, label: geography} + - {column: D, row: 5358, expected_value: Females, label: sex} + - {column: E, row: 5358, expected_value: Total, label: employment type} + - {column: J, row: 5358, expected_value: Value, label: measure} + - {column: L, row: 5359, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5360 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5360, expected_value: E12000004, label: geography} + - {column: D, row: 5360, expected_value: Females, label: sex} + - {column: E, row: 5360, expected_value: Total, label: employment type} + - {column: J, row: 5360, expected_value: Value, label: measure} + - {column: L, row: 5361, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5362 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5362, expected_value: E12000004, label: geography} + - {column: D, row: 5362, expected_value: Females, label: sex} + - {column: E, row: 5362, expected_value: Total, label: employment type} + - {column: J, row: 5362, expected_value: Value, label: measure} + - {column: L, row: 5363, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5364 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5364, expected_value: E12000004, label: geography} + - {column: D, row: 5364, expected_value: Females, label: sex} + - {column: E, row: 5364, expected_value: Total, label: employment type} + - {column: J, row: 5364, expected_value: Value, label: measure} + - {column: L, row: 5365, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5366 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5366, expected_value: E12000004, label: geography} + - {column: D, row: 5366, expected_value: Females, label: sex} + - {column: E, row: 5366, expected_value: Total, label: employment type} + - {column: J, row: 5366, expected_value: Value, label: measure} + - {column: L, row: 5367, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5368 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5368, expected_value: E12000004, label: geography} + - {column: D, row: 5368, expected_value: Females, label: sex} + - {column: E, row: 5368, expected_value: Total, label: employment type} + - {column: J, row: 5368, expected_value: Value, label: measure} + - {column: L, row: 5369, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5370 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5370, expected_value: E12000004, label: geography} + - {column: D, row: 5370, expected_value: Females, label: sex} + - {column: E, row: 5370, expected_value: Total, label: employment type} + - {column: J, row: 5370, expected_value: Value, label: measure} + - {column: L, row: 5371, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5374 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5374, expected_value: E12000004, label: geography} + - {column: D, row: 5374, expected_value: Females, label: sex} + - {column: E, row: 5374, expected_value: Total, label: employment type} + - {column: J, row: 5374, expected_value: Value, label: measure} + - {column: L, row: 5375, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5376 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5376, expected_value: E12000004, label: geography} + - {column: D, row: 5376, expected_value: Females, label: sex} + - {column: E, row: 5376, expected_value: Total, label: employment type} + - {column: J, row: 5376, expected_value: Value, label: measure} + - {column: L, row: 5377, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5378 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5378, expected_value: E12000004, label: geography} + - {column: D, row: 5378, expected_value: Females, label: sex} + - {column: E, row: 5378, expected_value: Total, label: employment type} + - {column: J, row: 5378, expected_value: Value, label: measure} + - {column: L, row: 5379, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5380 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5380, expected_value: E12000004, label: geography} + - {column: D, row: 5380, expected_value: Females, label: sex} + - {column: E, row: 5380, expected_value: Total, label: employment type} + - {column: J, row: 5380, expected_value: Value, label: measure} + - {column: L, row: 5381, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5384 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5384, expected_value: E12000004, label: geography} + - {column: D, row: 5384, expected_value: Females, label: sex} + - {column: E, row: 5384, expected_value: Total, label: employment type} + - {column: J, row: 5384, expected_value: Value, label: measure} + - {column: L, row: 5385, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5386 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5386, expected_value: E12000004, label: geography} + - {column: D, row: 5386, expected_value: Females, label: sex} + - {column: E, row: 5386, expected_value: Total, label: employment type} + - {column: J, row: 5386, expected_value: Value, label: measure} + - {column: L, row: 5387, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5388 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5388, expected_value: E12000004, label: geography} + - {column: D, row: 5388, expected_value: Females, label: sex} + - {column: E, row: 5388, expected_value: Total, label: employment type} + - {column: J, row: 5388, expected_value: Value, label: measure} + - {column: L, row: 5389, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5390 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5390, expected_value: E12000004, label: geography} + - {column: D, row: 5390, expected_value: Females, label: sex} + - {column: E, row: 5390, expected_value: Total, label: employment type} + - {column: J, row: 5390, expected_value: Value, label: measure} + - {column: L, row: 5391, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5392 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5392, expected_value: E12000004, label: geography} + - {column: D, row: 5392, expected_value: Females, label: sex} + - {column: E, row: 5392, expected_value: Total, label: employment type} + - {column: J, row: 5392, expected_value: Value, label: measure} + - {column: L, row: 5393, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5394 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5394, expected_value: E12000004, label: geography} + - {column: D, row: 5394, expected_value: Females, label: sex} + - {column: E, row: 5394, expected_value: Total, label: employment type} + - {column: J, row: 5394, expected_value: Value, label: measure} + - {column: L, row: 5395, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5396 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5396, expected_value: E12000004, label: geography} + - {column: D, row: 5396, expected_value: Females, label: sex} + - {column: E, row: 5396, expected_value: Total, label: employment type} + - {column: J, row: 5396, expected_value: Value, label: measure} + - {column: L, row: 5397, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5398 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5398, expected_value: E12000004, label: geography} + - {column: D, row: 5398, expected_value: Females, label: sex} + - {column: E, row: 5398, expected_value: Total, label: employment type} + - {column: J, row: 5398, expected_value: Value, label: measure} + - {column: L, row: 5399, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5400 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5400, expected_value: E12000004, label: geography} + - {column: D, row: 5400, expected_value: Females, label: sex} + - {column: E, row: 5400, expected_value: Total, label: employment type} + - {column: J, row: 5400, expected_value: Value, label: measure} + - {column: L, row: 5401, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5331 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5331, expected_value: E12000004, label: geography} + - {column: D, row: 5331, expected_value: Females, label: sex} + - {column: E, row: 5331, expected_value: Total, label: employment type} + - {column: J, row: 5331, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5333 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5333, expected_value: E12000004, label: geography} + - {column: D, row: 5333, expected_value: Females, label: sex} + - {column: E, row: 5333, expected_value: Total, label: employment type} + - {column: J, row: 5333, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5335 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5335, expected_value: E12000004, label: geography} + - {column: D, row: 5335, expected_value: Females, label: sex} + - {column: E, row: 5335, expected_value: Total, label: employment type} + - {column: J, row: 5335, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5337 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5337, expected_value: E12000004, label: geography} + - {column: D, row: 5337, expected_value: Females, label: sex} + - {column: E, row: 5337, expected_value: Total, label: employment type} + - {column: J, row: 5337, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5339 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5339, expected_value: E12000004, label: geography} + - {column: D, row: 5339, expected_value: Females, label: sex} + - {column: E, row: 5339, expected_value: Total, label: employment type} + - {column: J, row: 5339, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5341 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5341, expected_value: E12000004, label: geography} + - {column: D, row: 5341, expected_value: Females, label: sex} + - {column: E, row: 5341, expected_value: Total, label: employment type} + - {column: J, row: 5341, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5343 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5343, expected_value: E12000004, label: geography} + - {column: D, row: 5343, expected_value: Females, label: sex} + - {column: E, row: 5343, expected_value: Total, label: employment type} + - {column: J, row: 5343, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5345 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5345, expected_value: E12000004, label: geography} + - {column: D, row: 5345, expected_value: Females, label: sex} + - {column: E, row: 5345, expected_value: Total, label: employment type} + - {column: J, row: 5345, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5347 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5347, expected_value: E12000004, label: geography} + - {column: D, row: 5347, expected_value: Females, label: sex} + - {column: E, row: 5347, expected_value: Total, label: employment type} + - {column: J, row: 5347, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5349 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5349, expected_value: E12000004, label: geography} + - {column: D, row: 5349, expected_value: Females, label: sex} + - {column: E, row: 5349, expected_value: Total, label: employment type} + - {column: J, row: 5349, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5351 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5351, expected_value: E12000004, label: geography} + - {column: D, row: 5351, expected_value: Females, label: sex} + - {column: E, row: 5351, expected_value: Total, label: employment type} + - {column: J, row: 5351, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5353 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5353, expected_value: E12000004, label: geography} + - {column: D, row: 5353, expected_value: Females, label: sex} + - {column: E, row: 5353, expected_value: Total, label: employment type} + - {column: J, row: 5353, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5355 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5355, expected_value: E12000004, label: geography} + - {column: D, row: 5355, expected_value: Females, label: sex} + - {column: E, row: 5355, expected_value: Total, label: employment type} + - {column: J, row: 5355, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5357 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5357, expected_value: E12000004, label: geography} + - {column: D, row: 5357, expected_value: Females, label: sex} + - {column: E, row: 5357, expected_value: Total, label: employment type} + - {column: J, row: 5357, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5359 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5359, expected_value: E12000004, label: geography} + - {column: D, row: 5359, expected_value: Females, label: sex} + - {column: E, row: 5359, expected_value: Total, label: employment type} + - {column: J, row: 5359, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5361 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5361, expected_value: E12000004, label: geography} + - {column: D, row: 5361, expected_value: Females, label: sex} + - {column: E, row: 5361, expected_value: Total, label: employment type} + - {column: J, row: 5361, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5363 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5363, expected_value: E12000004, label: geography} + - {column: D, row: 5363, expected_value: Females, label: sex} + - {column: E, row: 5363, expected_value: Total, label: employment type} + - {column: J, row: 5363, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5365 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5365, expected_value: E12000004, label: geography} + - {column: D, row: 5365, expected_value: Females, label: sex} + - {column: E, row: 5365, expected_value: Total, label: employment type} + - {column: J, row: 5365, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5367 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5367, expected_value: E12000004, label: geography} + - {column: D, row: 5367, expected_value: Females, label: sex} + - {column: E, row: 5367, expected_value: Total, label: employment type} + - {column: J, row: 5367, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5375 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5375, expected_value: E12000004, label: geography} + - {column: D, row: 5375, expected_value: Females, label: sex} + - {column: E, row: 5375, expected_value: Total, label: employment type} + - {column: J, row: 5375, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5377 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5377, expected_value: E12000004, label: geography} + - {column: D, row: 5377, expected_value: Females, label: sex} + - {column: E, row: 5377, expected_value: Total, label: employment type} + - {column: J, row: 5377, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5379 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5379, expected_value: E12000004, label: geography} + - {column: D, row: 5379, expected_value: Females, label: sex} + - {column: E, row: 5379, expected_value: Total, label: employment type} + - {column: J, row: 5379, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5381 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5381, expected_value: E12000004, label: geography} + - {column: D, row: 5381, expected_value: Females, label: sex} + - {column: E, row: 5381, expected_value: Total, label: employment type} + - {column: J, row: 5381, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5385 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5385, expected_value: E12000004, label: geography} + - {column: D, row: 5385, expected_value: Females, label: sex} + - {column: E, row: 5385, expected_value: Total, label: employment type} + - {column: J, row: 5385, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5387 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5387, expected_value: E12000004, label: geography} + - {column: D, row: 5387, expected_value: Females, label: sex} + - {column: E, row: 5387, expected_value: Total, label: employment type} + - {column: J, row: 5387, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5389 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5389, expected_value: E12000004, label: geography} + - {column: D, row: 5389, expected_value: Females, label: sex} + - {column: E, row: 5389, expected_value: Total, label: employment type} + - {column: J, row: 5389, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5391 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5391, expected_value: E12000004, label: geography} + - {column: D, row: 5391, expected_value: Females, label: sex} + - {column: E, row: 5391, expected_value: Total, label: employment type} + - {column: J, row: 5391, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5393 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5393, expected_value: E12000004, label: geography} + - {column: D, row: 5393, expected_value: Females, label: sex} + - {column: E, row: 5393, expected_value: Total, label: employment type} + - {column: J, row: 5393, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5395 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5395, expected_value: E12000004, label: geography} + - {column: D, row: 5395, expected_value: Females, label: sex} + - {column: E, row: 5395, expected_value: Total, label: employment type} + - {column: J, row: 5395, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5397 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5397, expected_value: E12000004, label: geography} + - {column: D, row: 5397, expected_value: Females, label: sex} + - {column: E, row: 5397, expected_value: Total, label: employment type} + - {column: J, row: 5397, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5399 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5399, expected_value: E12000004, label: geography} + - {column: D, row: 5399, expected_value: Females, label: sex} + - {column: E, row: 5399, expected_value: Total, label: employment type} + - {column: J, row: 5399, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5401 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5401, expected_value: E12000004, label: geography} + - {column: D, row: 5401, expected_value: Females, label: sex} + - {column: E, row: 5401, expected_value: Total, label: employment type} + - {column: J, row: 5401, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5546 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5546, expected_value: E12000004, label: geography} + - {column: D, row: 5546, expected_value: Females, label: sex} + - {column: E, row: 5546, expected_value: Employee, label: employment type} + - {column: J, row: 5546, expected_value: Value, label: measure} + - {column: L, row: 5547, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5548 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5548, expected_value: E12000004, label: geography} + - {column: D, row: 5548, expected_value: Females, label: sex} + - {column: E, row: 5548, expected_value: Employee, label: employment type} + - {column: J, row: 5548, expected_value: Value, label: measure} + - {column: L, row: 5549, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5550 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5550, expected_value: E12000004, label: geography} + - {column: D, row: 5550, expected_value: Females, label: sex} + - {column: E, row: 5550, expected_value: Employee, label: employment type} + - {column: J, row: 5550, expected_value: Value, label: measure} + - {column: L, row: 5551, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5552 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5552, expected_value: E12000004, label: geography} + - {column: D, row: 5552, expected_value: Females, label: sex} + - {column: E, row: 5552, expected_value: Employee, label: employment type} + - {column: J, row: 5552, expected_value: Value, label: measure} + - {column: L, row: 5553, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5554 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5554, expected_value: E12000004, label: geography} + - {column: D, row: 5554, expected_value: Females, label: sex} + - {column: E, row: 5554, expected_value: Employee, label: employment type} + - {column: J, row: 5554, expected_value: Value, label: measure} + - {column: L, row: 5555, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5556 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5556, expected_value: E12000004, label: geography} + - {column: D, row: 5556, expected_value: Females, label: sex} + - {column: E, row: 5556, expected_value: Employee, label: employment type} + - {column: J, row: 5556, expected_value: Value, label: measure} + - {column: L, row: 5557, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5558 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5558, expected_value: E12000004, label: geography} + - {column: D, row: 5558, expected_value: Females, label: sex} + - {column: E, row: 5558, expected_value: Employee, label: employment type} + - {column: J, row: 5558, expected_value: Value, label: measure} + - {column: L, row: 5559, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5560 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5560, expected_value: E12000004, label: geography} + - {column: D, row: 5560, expected_value: Females, label: sex} + - {column: E, row: 5560, expected_value: Employee, label: employment type} + - {column: J, row: 5560, expected_value: Value, label: measure} + - {column: L, row: 5561, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5562 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5562, expected_value: E12000004, label: geography} + - {column: D, row: 5562, expected_value: Females, label: sex} + - {column: E, row: 5562, expected_value: Employee, label: employment type} + - {column: J, row: 5562, expected_value: Value, label: measure} + - {column: L, row: 5563, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5564 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5564, expected_value: E12000004, label: geography} + - {column: D, row: 5564, expected_value: Females, label: sex} + - {column: E, row: 5564, expected_value: Employee, label: employment type} + - {column: J, row: 5564, expected_value: Value, label: measure} + - {column: L, row: 5565, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5566 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5566, expected_value: E12000004, label: geography} + - {column: D, row: 5566, expected_value: Females, label: sex} + - {column: E, row: 5566, expected_value: Employee, label: employment type} + - {column: J, row: 5566, expected_value: Value, label: measure} + - {column: L, row: 5567, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5568 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5568, expected_value: E12000004, label: geography} + - {column: D, row: 5568, expected_value: Females, label: sex} + - {column: E, row: 5568, expected_value: Employee, label: employment type} + - {column: J, row: 5568, expected_value: Value, label: measure} + - {column: L, row: 5569, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5570 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5570, expected_value: E12000004, label: geography} + - {column: D, row: 5570, expected_value: Females, label: sex} + - {column: E, row: 5570, expected_value: Employee, label: employment type} + - {column: J, row: 5570, expected_value: Value, label: measure} + - {column: L, row: 5571, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5572 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5572, expected_value: E12000004, label: geography} + - {column: D, row: 5572, expected_value: Females, label: sex} + - {column: E, row: 5572, expected_value: Employee, label: employment type} + - {column: J, row: 5572, expected_value: Value, label: measure} + - {column: L, row: 5573, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5574 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5574, expected_value: E12000004, label: geography} + - {column: D, row: 5574, expected_value: Females, label: sex} + - {column: E, row: 5574, expected_value: Employee, label: employment type} + - {column: J, row: 5574, expected_value: Value, label: measure} + - {column: L, row: 5575, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5576 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5576, expected_value: E12000004, label: geography} + - {column: D, row: 5576, expected_value: Females, label: sex} + - {column: E, row: 5576, expected_value: Employee, label: employment type} + - {column: J, row: 5576, expected_value: Value, label: measure} + - {column: L, row: 5577, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5578 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5578, expected_value: E12000004, label: geography} + - {column: D, row: 5578, expected_value: Females, label: sex} + - {column: E, row: 5578, expected_value: Employee, label: employment type} + - {column: J, row: 5578, expected_value: Value, label: measure} + - {column: L, row: 5579, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5580 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5580, expected_value: E12000004, label: geography} + - {column: D, row: 5580, expected_value: Females, label: sex} + - {column: E, row: 5580, expected_value: Employee, label: employment type} + - {column: J, row: 5580, expected_value: Value, label: measure} + - {column: L, row: 5581, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5582 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5582, expected_value: E12000004, label: geography} + - {column: D, row: 5582, expected_value: Females, label: sex} + - {column: E, row: 5582, expected_value: Employee, label: employment type} + - {column: J, row: 5582, expected_value: Value, label: measure} + - {column: L, row: 5583, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5584 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5584, expected_value: E12000004, label: geography} + - {column: D, row: 5584, expected_value: Females, label: sex} + - {column: E, row: 5584, expected_value: Employee, label: employment type} + - {column: J, row: 5584, expected_value: Value, label: measure} + - {column: L, row: 5585, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5586 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5586, expected_value: E12000004, label: geography} + - {column: D, row: 5586, expected_value: Females, label: sex} + - {column: E, row: 5586, expected_value: Employee, label: employment type} + - {column: J, row: 5586, expected_value: Value, label: measure} + - {column: L, row: 5587, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5590 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5590, expected_value: E12000004, label: geography} + - {column: D, row: 5590, expected_value: Females, label: sex} + - {column: E, row: 5590, expected_value: Employee, label: employment type} + - {column: J, row: 5590, expected_value: Value, label: measure} + - {column: L, row: 5591, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5592 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5592, expected_value: E12000004, label: geography} + - {column: D, row: 5592, expected_value: Females, label: sex} + - {column: E, row: 5592, expected_value: Employee, label: employment type} + - {column: J, row: 5592, expected_value: Value, label: measure} + - {column: L, row: 5593, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5594 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5594, expected_value: E12000004, label: geography} + - {column: D, row: 5594, expected_value: Females, label: sex} + - {column: E, row: 5594, expected_value: Employee, label: employment type} + - {column: J, row: 5594, expected_value: Value, label: measure} + - {column: L, row: 5595, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5596 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5596, expected_value: E12000004, label: geography} + - {column: D, row: 5596, expected_value: Females, label: sex} + - {column: E, row: 5596, expected_value: Employee, label: employment type} + - {column: J, row: 5596, expected_value: Value, label: measure} + - {column: L, row: 5597, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5600 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5600, expected_value: E12000004, label: geography} + - {column: D, row: 5600, expected_value: Females, label: sex} + - {column: E, row: 5600, expected_value: Employee, label: employment type} + - {column: J, row: 5600, expected_value: Value, label: measure} + - {column: L, row: 5601, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5602 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5602, expected_value: E12000004, label: geography} + - {column: D, row: 5602, expected_value: Females, label: sex} + - {column: E, row: 5602, expected_value: Employee, label: employment type} + - {column: J, row: 5602, expected_value: Value, label: measure} + - {column: L, row: 5603, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5604 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5604, expected_value: E12000004, label: geography} + - {column: D, row: 5604, expected_value: Females, label: sex} + - {column: E, row: 5604, expected_value: Employee, label: employment type} + - {column: J, row: 5604, expected_value: Value, label: measure} + - {column: L, row: 5605, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5606 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5606, expected_value: E12000004, label: geography} + - {column: D, row: 5606, expected_value: Females, label: sex} + - {column: E, row: 5606, expected_value: Employee, label: employment type} + - {column: J, row: 5606, expected_value: Value, label: measure} + - {column: L, row: 5607, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5608 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5608, expected_value: E12000004, label: geography} + - {column: D, row: 5608, expected_value: Females, label: sex} + - {column: E, row: 5608, expected_value: Employee, label: employment type} + - {column: J, row: 5608, expected_value: Value, label: measure} + - {column: L, row: 5609, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5610 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5610, expected_value: E12000004, label: geography} + - {column: D, row: 5610, expected_value: Females, label: sex} + - {column: E, row: 5610, expected_value: Employee, label: employment type} + - {column: J, row: 5610, expected_value: Value, label: measure} + - {column: L, row: 5611, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5612 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5612, expected_value: E12000004, label: geography} + - {column: D, row: 5612, expected_value: Females, label: sex} + - {column: E, row: 5612, expected_value: Employee, label: employment type} + - {column: J, row: 5612, expected_value: Value, label: measure} + - {column: L, row: 5613, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5614 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5614, expected_value: E12000004, label: geography} + - {column: D, row: 5614, expected_value: Females, label: sex} + - {column: E, row: 5614, expected_value: Employee, label: employment type} + - {column: J, row: 5614, expected_value: Value, label: measure} + - {column: L, row: 5615, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5616 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5616, expected_value: E12000004, label: geography} + - {column: D, row: 5616, expected_value: Females, label: sex} + - {column: E, row: 5616, expected_value: Employee, label: employment type} + - {column: J, row: 5616, expected_value: Value, label: measure} + - {column: L, row: 5617, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5547 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5547, expected_value: E12000004, label: geography} + - {column: D, row: 5547, expected_value: Females, label: sex} + - {column: E, row: 5547, expected_value: Employee, label: employment type} + - {column: J, row: 5547, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5549 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5549, expected_value: E12000004, label: geography} + - {column: D, row: 5549, expected_value: Females, label: sex} + - {column: E, row: 5549, expected_value: Employee, label: employment type} + - {column: J, row: 5549, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5551 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5551, expected_value: E12000004, label: geography} + - {column: D, row: 5551, expected_value: Females, label: sex} + - {column: E, row: 5551, expected_value: Employee, label: employment type} + - {column: J, row: 5551, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5553 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5553, expected_value: E12000004, label: geography} + - {column: D, row: 5553, expected_value: Females, label: sex} + - {column: E, row: 5553, expected_value: Employee, label: employment type} + - {column: J, row: 5553, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5555 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5555, expected_value: E12000004, label: geography} + - {column: D, row: 5555, expected_value: Females, label: sex} + - {column: E, row: 5555, expected_value: Employee, label: employment type} + - {column: J, row: 5555, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5557 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5557, expected_value: E12000004, label: geography} + - {column: D, row: 5557, expected_value: Females, label: sex} + - {column: E, row: 5557, expected_value: Employee, label: employment type} + - {column: J, row: 5557, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5559 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5559, expected_value: E12000004, label: geography} + - {column: D, row: 5559, expected_value: Females, label: sex} + - {column: E, row: 5559, expected_value: Employee, label: employment type} + - {column: J, row: 5559, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5561 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5561, expected_value: E12000004, label: geography} + - {column: D, row: 5561, expected_value: Females, label: sex} + - {column: E, row: 5561, expected_value: Employee, label: employment type} + - {column: J, row: 5561, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5563 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5563, expected_value: E12000004, label: geography} + - {column: D, row: 5563, expected_value: Females, label: sex} + - {column: E, row: 5563, expected_value: Employee, label: employment type} + - {column: J, row: 5563, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5565 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5565, expected_value: E12000004, label: geography} + - {column: D, row: 5565, expected_value: Females, label: sex} + - {column: E, row: 5565, expected_value: Employee, label: employment type} + - {column: J, row: 5565, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5567 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5567, expected_value: E12000004, label: geography} + - {column: D, row: 5567, expected_value: Females, label: sex} + - {column: E, row: 5567, expected_value: Employee, label: employment type} + - {column: J, row: 5567, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5569 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5569, expected_value: E12000004, label: geography} + - {column: D, row: 5569, expected_value: Females, label: sex} + - {column: E, row: 5569, expected_value: Employee, label: employment type} + - {column: J, row: 5569, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5571 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5571, expected_value: E12000004, label: geography} + - {column: D, row: 5571, expected_value: Females, label: sex} + - {column: E, row: 5571, expected_value: Employee, label: employment type} + - {column: J, row: 5571, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5573 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5573, expected_value: E12000004, label: geography} + - {column: D, row: 5573, expected_value: Females, label: sex} + - {column: E, row: 5573, expected_value: Employee, label: employment type} + - {column: J, row: 5573, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5575 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5575, expected_value: E12000004, label: geography} + - {column: D, row: 5575, expected_value: Females, label: sex} + - {column: E, row: 5575, expected_value: Employee, label: employment type} + - {column: J, row: 5575, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5577 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5577, expected_value: E12000004, label: geography} + - {column: D, row: 5577, expected_value: Females, label: sex} + - {column: E, row: 5577, expected_value: Employee, label: employment type} + - {column: J, row: 5577, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5579 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5579, expected_value: E12000004, label: geography} + - {column: D, row: 5579, expected_value: Females, label: sex} + - {column: E, row: 5579, expected_value: Employee, label: employment type} + - {column: J, row: 5579, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5581 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5581, expected_value: E12000004, label: geography} + - {column: D, row: 5581, expected_value: Females, label: sex} + - {column: E, row: 5581, expected_value: Employee, label: employment type} + - {column: J, row: 5581, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5583 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5583, expected_value: E12000004, label: geography} + - {column: D, row: 5583, expected_value: Females, label: sex} + - {column: E, row: 5583, expected_value: Employee, label: employment type} + - {column: J, row: 5583, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5591 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5591, expected_value: E12000004, label: geography} + - {column: D, row: 5591, expected_value: Females, label: sex} + - {column: E, row: 5591, expected_value: Employee, label: employment type} + - {column: J, row: 5591, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5593 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5593, expected_value: E12000004, label: geography} + - {column: D, row: 5593, expected_value: Females, label: sex} + - {column: E, row: 5593, expected_value: Employee, label: employment type} + - {column: J, row: 5593, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5595 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5595, expected_value: E12000004, label: geography} + - {column: D, row: 5595, expected_value: Females, label: sex} + - {column: E, row: 5595, expected_value: Employee, label: employment type} + - {column: J, row: 5595, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5597 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5597, expected_value: E12000004, label: geography} + - {column: D, row: 5597, expected_value: Females, label: sex} + - {column: E, row: 5597, expected_value: Employee, label: employment type} + - {column: J, row: 5597, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5601 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5601, expected_value: E12000004, label: geography} + - {column: D, row: 5601, expected_value: Females, label: sex} + - {column: E, row: 5601, expected_value: Employee, label: employment type} + - {column: J, row: 5601, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5603 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5603, expected_value: E12000004, label: geography} + - {column: D, row: 5603, expected_value: Females, label: sex} + - {column: E, row: 5603, expected_value: Employee, label: employment type} + - {column: J, row: 5603, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5605 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5605, expected_value: E12000004, label: geography} + - {column: D, row: 5605, expected_value: Females, label: sex} + - {column: E, row: 5605, expected_value: Employee, label: employment type} + - {column: J, row: 5605, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5607 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5607, expected_value: E12000004, label: geography} + - {column: D, row: 5607, expected_value: Females, label: sex} + - {column: E, row: 5607, expected_value: Employee, label: employment type} + - {column: J, row: 5607, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5609 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5609, expected_value: E12000004, label: geography} + - {column: D, row: 5609, expected_value: Females, label: sex} + - {column: E, row: 5609, expected_value: Employee, label: employment type} + - {column: J, row: 5609, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5611 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5611, expected_value: E12000004, label: geography} + - {column: D, row: 5611, expected_value: Females, label: sex} + - {column: E, row: 5611, expected_value: Employee, label: employment type} + - {column: J, row: 5611, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5613 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5613, expected_value: E12000004, label: geography} + - {column: D, row: 5613, expected_value: Females, label: sex} + - {column: E, row: 5613, expected_value: Employee, label: employment type} + - {column: J, row: 5613, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5615 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5615, expected_value: E12000004, label: geography} + - {column: D, row: 5615, expected_value: Females, label: sex} + - {column: E, row: 5615, expected_value: Employee, label: employment type} + - {column: J, row: 5615, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5617 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5617, expected_value: E12000004, label: geography} + - {column: D, row: 5617, expected_value: Females, label: sex} + - {column: E, row: 5617, expected_value: Employee, label: employment type} + - {column: J, row: 5617, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5762 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5762, expected_value: E12000004, label: geography} + - {column: D, row: 5762, expected_value: Females, label: sex} + - {column: E, row: 5762, expected_value: Self-employed, label: employment type} + - {column: J, row: 5762, expected_value: Value, label: measure} + - {column: L, row: 5763, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5764 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5764, expected_value: E12000004, label: geography} + - {column: D, row: 5764, expected_value: Females, label: sex} + - {column: E, row: 5764, expected_value: Self-employed, label: employment type} + - {column: J, row: 5764, expected_value: Value, label: measure} + - {column: L, row: 5765, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5766 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5766, expected_value: E12000004, label: geography} + - {column: D, row: 5766, expected_value: Females, label: sex} + - {column: E, row: 5766, expected_value: Self-employed, label: employment type} + - {column: J, row: 5766, expected_value: Value, label: measure} + - {column: L, row: 5767, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5768 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5768, expected_value: E12000004, label: geography} + - {column: D, row: 5768, expected_value: Females, label: sex} + - {column: E, row: 5768, expected_value: Self-employed, label: employment type} + - {column: J, row: 5768, expected_value: Value, label: measure} + - {column: L, row: 5769, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5770 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5770, expected_value: E12000004, label: geography} + - {column: D, row: 5770, expected_value: Females, label: sex} + - {column: E, row: 5770, expected_value: Self-employed, label: employment type} + - {column: J, row: 5770, expected_value: Value, label: measure} + - {column: L, row: 5771, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5772 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5772, expected_value: E12000004, label: geography} + - {column: D, row: 5772, expected_value: Females, label: sex} + - {column: E, row: 5772, expected_value: Self-employed, label: employment type} + - {column: J, row: 5772, expected_value: Value, label: measure} + - {column: L, row: 5773, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5774 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5774, expected_value: E12000004, label: geography} + - {column: D, row: 5774, expected_value: Females, label: sex} + - {column: E, row: 5774, expected_value: Self-employed, label: employment type} + - {column: J, row: 5774, expected_value: Value, label: measure} + - {column: L, row: 5775, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5776 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5776, expected_value: E12000004, label: geography} + - {column: D, row: 5776, expected_value: Females, label: sex} + - {column: E, row: 5776, expected_value: Self-employed, label: employment type} + - {column: J, row: 5776, expected_value: Value, label: measure} + - {column: L, row: 5777, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5778 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5778, expected_value: E12000004, label: geography} + - {column: D, row: 5778, expected_value: Females, label: sex} + - {column: E, row: 5778, expected_value: Self-employed, label: employment type} + - {column: J, row: 5778, expected_value: Value, label: measure} + - {column: L, row: 5779, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5780 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5780, expected_value: E12000004, label: geography} + - {column: D, row: 5780, expected_value: Females, label: sex} + - {column: E, row: 5780, expected_value: Self-employed, label: employment type} + - {column: J, row: 5780, expected_value: Value, label: measure} + - {column: L, row: 5781, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5784 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5784, expected_value: E12000004, label: geography} + - {column: D, row: 5784, expected_value: Females, label: sex} + - {column: E, row: 5784, expected_value: Self-employed, label: employment type} + - {column: J, row: 5784, expected_value: Value, label: measure} + - {column: L, row: 5785, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5788 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5788, expected_value: E12000004, label: geography} + - {column: D, row: 5788, expected_value: Females, label: sex} + - {column: E, row: 5788, expected_value: Self-employed, label: employment type} + - {column: J, row: 5788, expected_value: Value, label: measure} + - {column: L, row: 5789, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5790 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5790, expected_value: E12000004, label: geography} + - {column: D, row: 5790, expected_value: Females, label: sex} + - {column: E, row: 5790, expected_value: Self-employed, label: employment type} + - {column: J, row: 5790, expected_value: Value, label: measure} + - {column: L, row: 5791, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5792 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5792, expected_value: E12000004, label: geography} + - {column: D, row: 5792, expected_value: Females, label: sex} + - {column: E, row: 5792, expected_value: Self-employed, label: employment type} + - {column: J, row: 5792, expected_value: Value, label: measure} + - {column: L, row: 5793, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5794 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5794, expected_value: E12000004, label: geography} + - {column: D, row: 5794, expected_value: Females, label: sex} + - {column: E, row: 5794, expected_value: Self-employed, label: employment type} + - {column: J, row: 5794, expected_value: Value, label: measure} + - {column: L, row: 5795, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5796 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5796, expected_value: E12000004, label: geography} + - {column: D, row: 5796, expected_value: Females, label: sex} + - {column: E, row: 5796, expected_value: Self-employed, label: employment type} + - {column: J, row: 5796, expected_value: Value, label: measure} + - {column: L, row: 5797, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5798 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5798, expected_value: E12000004, label: geography} + - {column: D, row: 5798, expected_value: Females, label: sex} + - {column: E, row: 5798, expected_value: Self-employed, label: employment type} + - {column: J, row: 5798, expected_value: Value, label: measure} + - {column: L, row: 5799, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5800 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5800, expected_value: E12000004, label: geography} + - {column: D, row: 5800, expected_value: Females, label: sex} + - {column: E, row: 5800, expected_value: Self-employed, label: employment type} + - {column: J, row: 5800, expected_value: Value, label: measure} + - {column: L, row: 5801, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5806 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5806, expected_value: E12000004, label: geography} + - {column: D, row: 5806, expected_value: Females, label: sex} + - {column: E, row: 5806, expected_value: Self-employed, label: employment type} + - {column: J, row: 5806, expected_value: Value, label: measure} + - {column: L, row: 5807, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5808 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5808, expected_value: E12000004, label: geography} + - {column: D, row: 5808, expected_value: Females, label: sex} + - {column: E, row: 5808, expected_value: Self-employed, label: employment type} + - {column: J, row: 5808, expected_value: Value, label: measure} + - {column: L, row: 5809, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5810 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5810, expected_value: E12000004, label: geography} + - {column: D, row: 5810, expected_value: Females, label: sex} + - {column: E, row: 5810, expected_value: Self-employed, label: employment type} + - {column: J, row: 5810, expected_value: Value, label: measure} + - {column: L, row: 5811, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5812 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5812, expected_value: E12000004, label: geography} + - {column: D, row: 5812, expected_value: Females, label: sex} + - {column: E, row: 5812, expected_value: Self-employed, label: employment type} + - {column: J, row: 5812, expected_value: Value, label: measure} + - {column: L, row: 5813, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5816 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5816, expected_value: E12000004, label: geography} + - {column: D, row: 5816, expected_value: Females, label: sex} + - {column: E, row: 5816, expected_value: Self-employed, label: employment type} + - {column: J, row: 5816, expected_value: Value, label: measure} + - {column: L, row: 5817, expected_value: G, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5818 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5818, expected_value: E12000004, label: geography} + - {column: D, row: 5818, expected_value: Females, label: sex} + - {column: E, row: 5818, expected_value: Self-employed, label: employment type} + - {column: J, row: 5818, expected_value: Value, label: measure} + - {column: L, row: 5819, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5822 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5822, expected_value: E12000004, label: geography} + - {column: D, row: 5822, expected_value: Females, label: sex} + - {column: E, row: 5822, expected_value: Self-employed, label: employment type} + - {column: J, row: 5822, expected_value: Value, label: measure} + - {column: L, row: 5823, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5824 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5824, expected_value: E12000004, label: geography} + - {column: D, row: 5824, expected_value: Females, label: sex} + - {column: E, row: 5824, expected_value: Self-employed, label: employment type} + - {column: J, row: 5824, expected_value: Value, label: measure} + - {column: L, row: 5825, expected_value: F, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5826 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5826, expected_value: E12000004, label: geography} + - {column: D, row: 5826, expected_value: Females, label: sex} + - {column: E, row: 5826, expected_value: Self-employed, label: employment type} + - {column: J, row: 5826, expected_value: Value, label: measure} + - {column: L, row: 5827, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5828 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5828, expected_value: E12000004, label: geography} + - {column: D, row: 5828, expected_value: Females, label: sex} + - {column: E, row: 5828, expected_value: Self-employed, label: employment type} + - {column: J, row: 5828, expected_value: Value, label: measure} + - {column: L, row: 5829, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5832 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5832, expected_value: E12000004, label: geography} + - {column: D, row: 5832, expected_value: Females, label: sex} + - {column: E, row: 5832, expected_value: Self-employed, label: employment type} + - {column: J, row: 5832, expected_value: Value, label: measure} + - {column: L, row: 5833, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000004.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000004.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000004.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000004 + geography_level: region + geography_name: East Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5763 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5763, expected_value: E12000004, label: geography} + - {column: D, row: 5763, expected_value: Females, label: sex} + - {column: E, row: 5763, expected_value: Self-employed, label: employment type} + - {column: J, row: 5763, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5765 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5765, expected_value: E12000004, label: geography} + - {column: D, row: 5765, expected_value: Females, label: sex} + - {column: E, row: 5765, expected_value: Self-employed, label: employment type} + - {column: J, row: 5765, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5767 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5767, expected_value: E12000004, label: geography} + - {column: D, row: 5767, expected_value: Females, label: sex} + - {column: E, row: 5767, expected_value: Self-employed, label: employment type} + - {column: J, row: 5767, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5769 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5769, expected_value: E12000004, label: geography} + - {column: D, row: 5769, expected_value: Females, label: sex} + - {column: E, row: 5769, expected_value: Self-employed, label: employment type} + - {column: J, row: 5769, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5771 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5771, expected_value: E12000004, label: geography} + - {column: D, row: 5771, expected_value: Females, label: sex} + - {column: E, row: 5771, expected_value: Self-employed, label: employment type} + - {column: J, row: 5771, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5775 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5775, expected_value: E12000004, label: geography} + - {column: D, row: 5775, expected_value: Females, label: sex} + - {column: E, row: 5775, expected_value: Self-employed, label: employment type} + - {column: J, row: 5775, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5777 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5777, expected_value: E12000004, label: geography} + - {column: D, row: 5777, expected_value: Females, label: sex} + - {column: E, row: 5777, expected_value: Self-employed, label: employment type} + - {column: J, row: 5777, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5779 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5779, expected_value: E12000004, label: geography} + - {column: D, row: 5779, expected_value: Females, label: sex} + - {column: E, row: 5779, expected_value: Self-employed, label: employment type} + - {column: J, row: 5779, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5781 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5781, expected_value: E12000004, label: geography} + - {column: D, row: 5781, expected_value: Females, label: sex} + - {column: E, row: 5781, expected_value: Self-employed, label: employment type} + - {column: J, row: 5781, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5789 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5789, expected_value: E12000004, label: geography} + - {column: D, row: 5789, expected_value: Females, label: sex} + - {column: E, row: 5789, expected_value: Self-employed, label: employment type} + - {column: J, row: 5789, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5791 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5791, expected_value: E12000004, label: geography} + - {column: D, row: 5791, expected_value: Females, label: sex} + - {column: E, row: 5791, expected_value: Self-employed, label: employment type} + - {column: J, row: 5791, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5793 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5793, expected_value: E12000004, label: geography} + - {column: D, row: 5793, expected_value: Females, label: sex} + - {column: E, row: 5793, expected_value: Self-employed, label: employment type} + - {column: J, row: 5793, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5795 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5795, expected_value: E12000004, label: geography} + - {column: D, row: 5795, expected_value: Females, label: sex} + - {column: E, row: 5795, expected_value: Self-employed, label: employment type} + - {column: J, row: 5795, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5799 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5799, expected_value: E12000004, label: geography} + - {column: D, row: 5799, expected_value: Females, label: sex} + - {column: E, row: 5799, expected_value: Self-employed, label: employment type} + - {column: J, row: 5799, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5809 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5809, expected_value: E12000004, label: geography} + - {column: D, row: 5809, expected_value: Females, label: sex} + - {column: E, row: 5809, expected_value: Self-employed, label: employment type} + - {column: J, row: 5809, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5811 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5811, expected_value: E12000004, label: geography} + - {column: D, row: 5811, expected_value: Females, label: sex} + - {column: E, row: 5811, expected_value: Self-employed, label: employment type} + - {column: J, row: 5811, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5813 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5813, expected_value: E12000004, label: geography} + - {column: D, row: 5813, expected_value: Females, label: sex} + - {column: E, row: 5813, expected_value: Self-employed, label: employment type} + - {column: J, row: 5813, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5829 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5829, expected_value: E12000004, label: geography} + - {column: D, row: 5829, expected_value: Females, label: sex} + - {column: E, row: 5829, expected_value: Self-employed, label: employment type} + - {column: J, row: 5829, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5833 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5833, expected_value: E12000004, label: geography} + - {column: D, row: 5833, expected_value: Females, label: sex} + - {column: E, row: 5833, expected_value: Self-employed, label: employment type} + - {column: J, row: 5833, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5834 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5834, expected_value: E12000005, label: geography} + - {column: D, row: 5834, expected_value: All persons, label: sex} + - {column: E, row: 5834, expected_value: Total, label: employment type} + - {column: J, row: 5834, expected_value: Value, label: measure} + - {column: L, row: 5835, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5836 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5836, expected_value: E12000005, label: geography} + - {column: D, row: 5836, expected_value: All persons, label: sex} + - {column: E, row: 5836, expected_value: Total, label: employment type} + - {column: J, row: 5836, expected_value: Value, label: measure} + - {column: L, row: 5837, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5838 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5838, expected_value: E12000005, label: geography} + - {column: D, row: 5838, expected_value: All persons, label: sex} + - {column: E, row: 5838, expected_value: Total, label: employment type} + - {column: J, row: 5838, expected_value: Value, label: measure} + - {column: L, row: 5839, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5840 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5840, expected_value: E12000005, label: geography} + - {column: D, row: 5840, expected_value: All persons, label: sex} + - {column: E, row: 5840, expected_value: Total, label: employment type} + - {column: J, row: 5840, expected_value: Value, label: measure} + - {column: L, row: 5841, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5842 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5842, expected_value: E12000005, label: geography} + - {column: D, row: 5842, expected_value: All persons, label: sex} + - {column: E, row: 5842, expected_value: Total, label: employment type} + - {column: J, row: 5842, expected_value: Value, label: measure} + - {column: L, row: 5843, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5844 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5844, expected_value: E12000005, label: geography} + - {column: D, row: 5844, expected_value: All persons, label: sex} + - {column: E, row: 5844, expected_value: Total, label: employment type} + - {column: J, row: 5844, expected_value: Value, label: measure} + - {column: L, row: 5845, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5846 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5846, expected_value: E12000005, label: geography} + - {column: D, row: 5846, expected_value: All persons, label: sex} + - {column: E, row: 5846, expected_value: Total, label: employment type} + - {column: J, row: 5846, expected_value: Value, label: measure} + - {column: L, row: 5847, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5848 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5848, expected_value: E12000005, label: geography} + - {column: D, row: 5848, expected_value: All persons, label: sex} + - {column: E, row: 5848, expected_value: Total, label: employment type} + - {column: J, row: 5848, expected_value: Value, label: measure} + - {column: L, row: 5849, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5850 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5850, expected_value: E12000005, label: geography} + - {column: D, row: 5850, expected_value: All persons, label: sex} + - {column: E, row: 5850, expected_value: Total, label: employment type} + - {column: J, row: 5850, expected_value: Value, label: measure} + - {column: L, row: 5851, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5852 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5852, expected_value: E12000005, label: geography} + - {column: D, row: 5852, expected_value: All persons, label: sex} + - {column: E, row: 5852, expected_value: Total, label: employment type} + - {column: J, row: 5852, expected_value: Value, label: measure} + - {column: L, row: 5853, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5854 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5854, expected_value: E12000005, label: geography} + - {column: D, row: 5854, expected_value: All persons, label: sex} + - {column: E, row: 5854, expected_value: Total, label: employment type} + - {column: J, row: 5854, expected_value: Value, label: measure} + - {column: L, row: 5855, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5856 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5856, expected_value: E12000005, label: geography} + - {column: D, row: 5856, expected_value: All persons, label: sex} + - {column: E, row: 5856, expected_value: Total, label: employment type} + - {column: J, row: 5856, expected_value: Value, label: measure} + - {column: L, row: 5857, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5858 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5858, expected_value: E12000005, label: geography} + - {column: D, row: 5858, expected_value: All persons, label: sex} + - {column: E, row: 5858, expected_value: Total, label: employment type} + - {column: J, row: 5858, expected_value: Value, label: measure} + - {column: L, row: 5859, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5860 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5860, expected_value: E12000005, label: geography} + - {column: D, row: 5860, expected_value: All persons, label: sex} + - {column: E, row: 5860, expected_value: Total, label: employment type} + - {column: J, row: 5860, expected_value: Value, label: measure} + - {column: L, row: 5861, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5862 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5862, expected_value: E12000005, label: geography} + - {column: D, row: 5862, expected_value: All persons, label: sex} + - {column: E, row: 5862, expected_value: Total, label: employment type} + - {column: J, row: 5862, expected_value: Value, label: measure} + - {column: L, row: 5863, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5864 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5864, expected_value: E12000005, label: geography} + - {column: D, row: 5864, expected_value: All persons, label: sex} + - {column: E, row: 5864, expected_value: Total, label: employment type} + - {column: J, row: 5864, expected_value: Value, label: measure} + - {column: L, row: 5865, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5866 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5866, expected_value: E12000005, label: geography} + - {column: D, row: 5866, expected_value: All persons, label: sex} + - {column: E, row: 5866, expected_value: Total, label: employment type} + - {column: J, row: 5866, expected_value: Value, label: measure} + - {column: L, row: 5867, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5868 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5868, expected_value: E12000005, label: geography} + - {column: D, row: 5868, expected_value: All persons, label: sex} + - {column: E, row: 5868, expected_value: Total, label: employment type} + - {column: J, row: 5868, expected_value: Value, label: measure} + - {column: L, row: 5869, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5870 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5870, expected_value: E12000005, label: geography} + - {column: D, row: 5870, expected_value: All persons, label: sex} + - {column: E, row: 5870, expected_value: Total, label: employment type} + - {column: J, row: 5870, expected_value: Value, label: measure} + - {column: L, row: 5871, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5872 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5872, expected_value: E12000005, label: geography} + - {column: D, row: 5872, expected_value: All persons, label: sex} + - {column: E, row: 5872, expected_value: Total, label: employment type} + - {column: J, row: 5872, expected_value: Value, label: measure} + - {column: L, row: 5873, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5874 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5874, expected_value: E12000005, label: geography} + - {column: D, row: 5874, expected_value: All persons, label: sex} + - {column: E, row: 5874, expected_value: Total, label: employment type} + - {column: J, row: 5874, expected_value: Value, label: measure} + - {column: L, row: 5875, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5876 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5876, expected_value: E12000005, label: geography} + - {column: D, row: 5876, expected_value: All persons, label: sex} + - {column: E, row: 5876, expected_value: Total, label: employment type} + - {column: J, row: 5876, expected_value: Value, label: measure} + - {column: L, row: 5877, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5878 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5878, expected_value: E12000005, label: geography} + - {column: D, row: 5878, expected_value: All persons, label: sex} + - {column: E, row: 5878, expected_value: Total, label: employment type} + - {column: J, row: 5878, expected_value: Value, label: measure} + - {column: L, row: 5879, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5880 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5880, expected_value: E12000005, label: geography} + - {column: D, row: 5880, expected_value: All persons, label: sex} + - {column: E, row: 5880, expected_value: Total, label: employment type} + - {column: J, row: 5880, expected_value: Value, label: measure} + - {column: L, row: 5881, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5882 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5882, expected_value: E12000005, label: geography} + - {column: D, row: 5882, expected_value: All persons, label: sex} + - {column: E, row: 5882, expected_value: Total, label: employment type} + - {column: J, row: 5882, expected_value: Value, label: measure} + - {column: L, row: 5883, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5884 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5884, expected_value: E12000005, label: geography} + - {column: D, row: 5884, expected_value: All persons, label: sex} + - {column: E, row: 5884, expected_value: Total, label: employment type} + - {column: J, row: 5884, expected_value: Value, label: measure} + - {column: L, row: 5885, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5886 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5886, expected_value: E12000005, label: geography} + - {column: D, row: 5886, expected_value: All persons, label: sex} + - {column: E, row: 5886, expected_value: Total, label: employment type} + - {column: J, row: 5886, expected_value: Value, label: measure} + - {column: L, row: 5887, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5888 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5888, expected_value: E12000005, label: geography} + - {column: D, row: 5888, expected_value: All persons, label: sex} + - {column: E, row: 5888, expected_value: Total, label: employment type} + - {column: J, row: 5888, expected_value: Value, label: measure} + - {column: L, row: 5889, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5890 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5890, expected_value: E12000005, label: geography} + - {column: D, row: 5890, expected_value: All persons, label: sex} + - {column: E, row: 5890, expected_value: Total, label: employment type} + - {column: J, row: 5890, expected_value: Value, label: measure} + - {column: L, row: 5891, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5892 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5892, expected_value: E12000005, label: geography} + - {column: D, row: 5892, expected_value: All persons, label: sex} + - {column: E, row: 5892, expected_value: Total, label: employment type} + - {column: J, row: 5892, expected_value: Value, label: measure} + - {column: L, row: 5893, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5894 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5894, expected_value: E12000005, label: geography} + - {column: D, row: 5894, expected_value: All persons, label: sex} + - {column: E, row: 5894, expected_value: Total, label: employment type} + - {column: J, row: 5894, expected_value: Value, label: measure} + - {column: L, row: 5895, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5896 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5896, expected_value: E12000005, label: geography} + - {column: D, row: 5896, expected_value: All persons, label: sex} + - {column: E, row: 5896, expected_value: Total, label: employment type} + - {column: J, row: 5896, expected_value: Value, label: measure} + - {column: L, row: 5897, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5898 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5898, expected_value: E12000005, label: geography} + - {column: D, row: 5898, expected_value: All persons, label: sex} + - {column: E, row: 5898, expected_value: Total, label: employment type} + - {column: J, row: 5898, expected_value: Value, label: measure} + - {column: L, row: 5899, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5900 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5900, expected_value: E12000005, label: geography} + - {column: D, row: 5900, expected_value: All persons, label: sex} + - {column: E, row: 5900, expected_value: Total, label: employment type} + - {column: J, row: 5900, expected_value: Value, label: measure} + - {column: L, row: 5901, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5902 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5902, expected_value: E12000005, label: geography} + - {column: D, row: 5902, expected_value: All persons, label: sex} + - {column: E, row: 5902, expected_value: Total, label: employment type} + - {column: J, row: 5902, expected_value: Value, label: measure} + - {column: L, row: 5903, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5904 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5904, expected_value: E12000005, label: geography} + - {column: D, row: 5904, expected_value: All persons, label: sex} + - {column: E, row: 5904, expected_value: Total, label: employment type} + - {column: J, row: 5904, expected_value: Value, label: measure} + - {column: L, row: 5905, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5835 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5835, expected_value: E12000005, label: geography} + - {column: D, row: 5835, expected_value: All persons, label: sex} + - {column: E, row: 5835, expected_value: Total, label: employment type} + - {column: J, row: 5835, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5837 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5837, expected_value: E12000005, label: geography} + - {column: D, row: 5837, expected_value: All persons, label: sex} + - {column: E, row: 5837, expected_value: Total, label: employment type} + - {column: J, row: 5837, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5839 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5839, expected_value: E12000005, label: geography} + - {column: D, row: 5839, expected_value: All persons, label: sex} + - {column: E, row: 5839, expected_value: Total, label: employment type} + - {column: J, row: 5839, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5841 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5841, expected_value: E12000005, label: geography} + - {column: D, row: 5841, expected_value: All persons, label: sex} + - {column: E, row: 5841, expected_value: Total, label: employment type} + - {column: J, row: 5841, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5843 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5843, expected_value: E12000005, label: geography} + - {column: D, row: 5843, expected_value: All persons, label: sex} + - {column: E, row: 5843, expected_value: Total, label: employment type} + - {column: J, row: 5843, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5845 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5845, expected_value: E12000005, label: geography} + - {column: D, row: 5845, expected_value: All persons, label: sex} + - {column: E, row: 5845, expected_value: Total, label: employment type} + - {column: J, row: 5845, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5847 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5847, expected_value: E12000005, label: geography} + - {column: D, row: 5847, expected_value: All persons, label: sex} + - {column: E, row: 5847, expected_value: Total, label: employment type} + - {column: J, row: 5847, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5849 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5849, expected_value: E12000005, label: geography} + - {column: D, row: 5849, expected_value: All persons, label: sex} + - {column: E, row: 5849, expected_value: Total, label: employment type} + - {column: J, row: 5849, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5851 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5851, expected_value: E12000005, label: geography} + - {column: D, row: 5851, expected_value: All persons, label: sex} + - {column: E, row: 5851, expected_value: Total, label: employment type} + - {column: J, row: 5851, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5853 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5853, expected_value: E12000005, label: geography} + - {column: D, row: 5853, expected_value: All persons, label: sex} + - {column: E, row: 5853, expected_value: Total, label: employment type} + - {column: J, row: 5853, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5855 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5855, expected_value: E12000005, label: geography} + - {column: D, row: 5855, expected_value: All persons, label: sex} + - {column: E, row: 5855, expected_value: Total, label: employment type} + - {column: J, row: 5855, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5857 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5857, expected_value: E12000005, label: geography} + - {column: D, row: 5857, expected_value: All persons, label: sex} + - {column: E, row: 5857, expected_value: Total, label: employment type} + - {column: J, row: 5857, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5859 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5859, expected_value: E12000005, label: geography} + - {column: D, row: 5859, expected_value: All persons, label: sex} + - {column: E, row: 5859, expected_value: Total, label: employment type} + - {column: J, row: 5859, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5861 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5861, expected_value: E12000005, label: geography} + - {column: D, row: 5861, expected_value: All persons, label: sex} + - {column: E, row: 5861, expected_value: Total, label: employment type} + - {column: J, row: 5861, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5863 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5863, expected_value: E12000005, label: geography} + - {column: D, row: 5863, expected_value: All persons, label: sex} + - {column: E, row: 5863, expected_value: Total, label: employment type} + - {column: J, row: 5863, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5865 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5865, expected_value: E12000005, label: geography} + - {column: D, row: 5865, expected_value: All persons, label: sex} + - {column: E, row: 5865, expected_value: Total, label: employment type} + - {column: J, row: 5865, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5867 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5867, expected_value: E12000005, label: geography} + - {column: D, row: 5867, expected_value: All persons, label: sex} + - {column: E, row: 5867, expected_value: Total, label: employment type} + - {column: J, row: 5867, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5869 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5869, expected_value: E12000005, label: geography} + - {column: D, row: 5869, expected_value: All persons, label: sex} + - {column: E, row: 5869, expected_value: Total, label: employment type} + - {column: J, row: 5869, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5871 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5871, expected_value: E12000005, label: geography} + - {column: D, row: 5871, expected_value: All persons, label: sex} + - {column: E, row: 5871, expected_value: Total, label: employment type} + - {column: J, row: 5871, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5873 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5873, expected_value: E12000005, label: geography} + - {column: D, row: 5873, expected_value: All persons, label: sex} + - {column: E, row: 5873, expected_value: Total, label: employment type} + - {column: J, row: 5873, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5875 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5875, expected_value: E12000005, label: geography} + - {column: D, row: 5875, expected_value: All persons, label: sex} + - {column: E, row: 5875, expected_value: Total, label: employment type} + - {column: J, row: 5875, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5877 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5877, expected_value: E12000005, label: geography} + - {column: D, row: 5877, expected_value: All persons, label: sex} + - {column: E, row: 5877, expected_value: Total, label: employment type} + - {column: J, row: 5877, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5879 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5879, expected_value: E12000005, label: geography} + - {column: D, row: 5879, expected_value: All persons, label: sex} + - {column: E, row: 5879, expected_value: Total, label: employment type} + - {column: J, row: 5879, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5881 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5881, expected_value: E12000005, label: geography} + - {column: D, row: 5881, expected_value: All persons, label: sex} + - {column: E, row: 5881, expected_value: Total, label: employment type} + - {column: J, row: 5881, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5883 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5883, expected_value: E12000005, label: geography} + - {column: D, row: 5883, expected_value: All persons, label: sex} + - {column: E, row: 5883, expected_value: Total, label: employment type} + - {column: J, row: 5883, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5885 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5885, expected_value: E12000005, label: geography} + - {column: D, row: 5885, expected_value: All persons, label: sex} + - {column: E, row: 5885, expected_value: Total, label: employment type} + - {column: J, row: 5885, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5889 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5889, expected_value: E12000005, label: geography} + - {column: D, row: 5889, expected_value: All persons, label: sex} + - {column: E, row: 5889, expected_value: Total, label: employment type} + - {column: J, row: 5889, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5891 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5891, expected_value: E12000005, label: geography} + - {column: D, row: 5891, expected_value: All persons, label: sex} + - {column: E, row: 5891, expected_value: Total, label: employment type} + - {column: J, row: 5891, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5893 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5893, expected_value: E12000005, label: geography} + - {column: D, row: 5893, expected_value: All persons, label: sex} + - {column: E, row: 5893, expected_value: Total, label: employment type} + - {column: J, row: 5893, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5895 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5895, expected_value: E12000005, label: geography} + - {column: D, row: 5895, expected_value: All persons, label: sex} + - {column: E, row: 5895, expected_value: Total, label: employment type} + - {column: J, row: 5895, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5897 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5897, expected_value: E12000005, label: geography} + - {column: D, row: 5897, expected_value: All persons, label: sex} + - {column: E, row: 5897, expected_value: Total, label: employment type} + - {column: J, row: 5897, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5899 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5899, expected_value: E12000005, label: geography} + - {column: D, row: 5899, expected_value: All persons, label: sex} + - {column: E, row: 5899, expected_value: Total, label: employment type} + - {column: J, row: 5899, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5901 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5901, expected_value: E12000005, label: geography} + - {column: D, row: 5901, expected_value: All persons, label: sex} + - {column: E, row: 5901, expected_value: Total, label: employment type} + - {column: J, row: 5901, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5903 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5903, expected_value: E12000005, label: geography} + - {column: D, row: 5903, expected_value: All persons, label: sex} + - {column: E, row: 5903, expected_value: Total, label: employment type} + - {column: J, row: 5903, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5905 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5905, expected_value: E12000005, label: geography} + - {column: D, row: 5905, expected_value: All persons, label: sex} + - {column: E, row: 5905, expected_value: Total, label: employment type} + - {column: J, row: 5905, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6050 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6050, expected_value: E12000005, label: geography} + - {column: D, row: 6050, expected_value: All persons, label: sex} + - {column: E, row: 6050, expected_value: Employee, label: employment type} + - {column: J, row: 6050, expected_value: Value, label: measure} + - {column: L, row: 6051, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6052 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6052, expected_value: E12000005, label: geography} + - {column: D, row: 6052, expected_value: All persons, label: sex} + - {column: E, row: 6052, expected_value: Employee, label: employment type} + - {column: J, row: 6052, expected_value: Value, label: measure} + - {column: L, row: 6053, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6054 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6054, expected_value: E12000005, label: geography} + - {column: D, row: 6054, expected_value: All persons, label: sex} + - {column: E, row: 6054, expected_value: Employee, label: employment type} + - {column: J, row: 6054, expected_value: Value, label: measure} + - {column: L, row: 6055, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6056 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6056, expected_value: E12000005, label: geography} + - {column: D, row: 6056, expected_value: All persons, label: sex} + - {column: E, row: 6056, expected_value: Employee, label: employment type} + - {column: J, row: 6056, expected_value: Value, label: measure} + - {column: L, row: 6057, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6058 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6058, expected_value: E12000005, label: geography} + - {column: D, row: 6058, expected_value: All persons, label: sex} + - {column: E, row: 6058, expected_value: Employee, label: employment type} + - {column: J, row: 6058, expected_value: Value, label: measure} + - {column: L, row: 6059, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6060 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6060, expected_value: E12000005, label: geography} + - {column: D, row: 6060, expected_value: All persons, label: sex} + - {column: E, row: 6060, expected_value: Employee, label: employment type} + - {column: J, row: 6060, expected_value: Value, label: measure} + - {column: L, row: 6061, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6062 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6062, expected_value: E12000005, label: geography} + - {column: D, row: 6062, expected_value: All persons, label: sex} + - {column: E, row: 6062, expected_value: Employee, label: employment type} + - {column: J, row: 6062, expected_value: Value, label: measure} + - {column: L, row: 6063, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6064 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6064, expected_value: E12000005, label: geography} + - {column: D, row: 6064, expected_value: All persons, label: sex} + - {column: E, row: 6064, expected_value: Employee, label: employment type} + - {column: J, row: 6064, expected_value: Value, label: measure} + - {column: L, row: 6065, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6066 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6066, expected_value: E12000005, label: geography} + - {column: D, row: 6066, expected_value: All persons, label: sex} + - {column: E, row: 6066, expected_value: Employee, label: employment type} + - {column: J, row: 6066, expected_value: Value, label: measure} + - {column: L, row: 6067, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6068 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6068, expected_value: E12000005, label: geography} + - {column: D, row: 6068, expected_value: All persons, label: sex} + - {column: E, row: 6068, expected_value: Employee, label: employment type} + - {column: J, row: 6068, expected_value: Value, label: measure} + - {column: L, row: 6069, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6070 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6070, expected_value: E12000005, label: geography} + - {column: D, row: 6070, expected_value: All persons, label: sex} + - {column: E, row: 6070, expected_value: Employee, label: employment type} + - {column: J, row: 6070, expected_value: Value, label: measure} + - {column: L, row: 6071, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6072 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6072, expected_value: E12000005, label: geography} + - {column: D, row: 6072, expected_value: All persons, label: sex} + - {column: E, row: 6072, expected_value: Employee, label: employment type} + - {column: J, row: 6072, expected_value: Value, label: measure} + - {column: L, row: 6073, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6074 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6074, expected_value: E12000005, label: geography} + - {column: D, row: 6074, expected_value: All persons, label: sex} + - {column: E, row: 6074, expected_value: Employee, label: employment type} + - {column: J, row: 6074, expected_value: Value, label: measure} + - {column: L, row: 6075, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6076 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6076, expected_value: E12000005, label: geography} + - {column: D, row: 6076, expected_value: All persons, label: sex} + - {column: E, row: 6076, expected_value: Employee, label: employment type} + - {column: J, row: 6076, expected_value: Value, label: measure} + - {column: L, row: 6077, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6078 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6078, expected_value: E12000005, label: geography} + - {column: D, row: 6078, expected_value: All persons, label: sex} + - {column: E, row: 6078, expected_value: Employee, label: employment type} + - {column: J, row: 6078, expected_value: Value, label: measure} + - {column: L, row: 6079, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6080 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6080, expected_value: E12000005, label: geography} + - {column: D, row: 6080, expected_value: All persons, label: sex} + - {column: E, row: 6080, expected_value: Employee, label: employment type} + - {column: J, row: 6080, expected_value: Value, label: measure} + - {column: L, row: 6081, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6082 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6082, expected_value: E12000005, label: geography} + - {column: D, row: 6082, expected_value: All persons, label: sex} + - {column: E, row: 6082, expected_value: Employee, label: employment type} + - {column: J, row: 6082, expected_value: Value, label: measure} + - {column: L, row: 6083, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6084 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6084, expected_value: E12000005, label: geography} + - {column: D, row: 6084, expected_value: All persons, label: sex} + - {column: E, row: 6084, expected_value: Employee, label: employment type} + - {column: J, row: 6084, expected_value: Value, label: measure} + - {column: L, row: 6085, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6086 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6086, expected_value: E12000005, label: geography} + - {column: D, row: 6086, expected_value: All persons, label: sex} + - {column: E, row: 6086, expected_value: Employee, label: employment type} + - {column: J, row: 6086, expected_value: Value, label: measure} + - {column: L, row: 6087, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6088 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6088, expected_value: E12000005, label: geography} + - {column: D, row: 6088, expected_value: All persons, label: sex} + - {column: E, row: 6088, expected_value: Employee, label: employment type} + - {column: J, row: 6088, expected_value: Value, label: measure} + - {column: L, row: 6089, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6090 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6090, expected_value: E12000005, label: geography} + - {column: D, row: 6090, expected_value: All persons, label: sex} + - {column: E, row: 6090, expected_value: Employee, label: employment type} + - {column: J, row: 6090, expected_value: Value, label: measure} + - {column: L, row: 6091, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6092 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6092, expected_value: E12000005, label: geography} + - {column: D, row: 6092, expected_value: All persons, label: sex} + - {column: E, row: 6092, expected_value: Employee, label: employment type} + - {column: J, row: 6092, expected_value: Value, label: measure} + - {column: L, row: 6093, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6094 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6094, expected_value: E12000005, label: geography} + - {column: D, row: 6094, expected_value: All persons, label: sex} + - {column: E, row: 6094, expected_value: Employee, label: employment type} + - {column: J, row: 6094, expected_value: Value, label: measure} + - {column: L, row: 6095, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6096 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6096, expected_value: E12000005, label: geography} + - {column: D, row: 6096, expected_value: All persons, label: sex} + - {column: E, row: 6096, expected_value: Employee, label: employment type} + - {column: J, row: 6096, expected_value: Value, label: measure} + - {column: L, row: 6097, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6098 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6098, expected_value: E12000005, label: geography} + - {column: D, row: 6098, expected_value: All persons, label: sex} + - {column: E, row: 6098, expected_value: Employee, label: employment type} + - {column: J, row: 6098, expected_value: Value, label: measure} + - {column: L, row: 6099, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6100 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6100, expected_value: E12000005, label: geography} + - {column: D, row: 6100, expected_value: All persons, label: sex} + - {column: E, row: 6100, expected_value: Employee, label: employment type} + - {column: J, row: 6100, expected_value: Value, label: measure} + - {column: L, row: 6101, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6102 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6102, expected_value: E12000005, label: geography} + - {column: D, row: 6102, expected_value: All persons, label: sex} + - {column: E, row: 6102, expected_value: Employee, label: employment type} + - {column: J, row: 6102, expected_value: Value, label: measure} + - {column: L, row: 6103, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6104 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6104, expected_value: E12000005, label: geography} + - {column: D, row: 6104, expected_value: All persons, label: sex} + - {column: E, row: 6104, expected_value: Employee, label: employment type} + - {column: J, row: 6104, expected_value: Value, label: measure} + - {column: L, row: 6105, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6106 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6106, expected_value: E12000005, label: geography} + - {column: D, row: 6106, expected_value: All persons, label: sex} + - {column: E, row: 6106, expected_value: Employee, label: employment type} + - {column: J, row: 6106, expected_value: Value, label: measure} + - {column: L, row: 6107, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6108 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6108, expected_value: E12000005, label: geography} + - {column: D, row: 6108, expected_value: All persons, label: sex} + - {column: E, row: 6108, expected_value: Employee, label: employment type} + - {column: J, row: 6108, expected_value: Value, label: measure} + - {column: L, row: 6109, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6110 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6110, expected_value: E12000005, label: geography} + - {column: D, row: 6110, expected_value: All persons, label: sex} + - {column: E, row: 6110, expected_value: Employee, label: employment type} + - {column: J, row: 6110, expected_value: Value, label: measure} + - {column: L, row: 6111, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6112 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6112, expected_value: E12000005, label: geography} + - {column: D, row: 6112, expected_value: All persons, label: sex} + - {column: E, row: 6112, expected_value: Employee, label: employment type} + - {column: J, row: 6112, expected_value: Value, label: measure} + - {column: L, row: 6113, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6114 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6114, expected_value: E12000005, label: geography} + - {column: D, row: 6114, expected_value: All persons, label: sex} + - {column: E, row: 6114, expected_value: Employee, label: employment type} + - {column: J, row: 6114, expected_value: Value, label: measure} + - {column: L, row: 6115, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6116 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6116, expected_value: E12000005, label: geography} + - {column: D, row: 6116, expected_value: All persons, label: sex} + - {column: E, row: 6116, expected_value: Employee, label: employment type} + - {column: J, row: 6116, expected_value: Value, label: measure} + - {column: L, row: 6117, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6118 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6118, expected_value: E12000005, label: geography} + - {column: D, row: 6118, expected_value: All persons, label: sex} + - {column: E, row: 6118, expected_value: Employee, label: employment type} + - {column: J, row: 6118, expected_value: Value, label: measure} + - {column: L, row: 6119, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6120 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6120, expected_value: E12000005, label: geography} + - {column: D, row: 6120, expected_value: All persons, label: sex} + - {column: E, row: 6120, expected_value: Employee, label: employment type} + - {column: J, row: 6120, expected_value: Value, label: measure} + - {column: L, row: 6121, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6051 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6051, expected_value: E12000005, label: geography} + - {column: D, row: 6051, expected_value: All persons, label: sex} + - {column: E, row: 6051, expected_value: Employee, label: employment type} + - {column: J, row: 6051, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6053 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6053, expected_value: E12000005, label: geography} + - {column: D, row: 6053, expected_value: All persons, label: sex} + - {column: E, row: 6053, expected_value: Employee, label: employment type} + - {column: J, row: 6053, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6055 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6055, expected_value: E12000005, label: geography} + - {column: D, row: 6055, expected_value: All persons, label: sex} + - {column: E, row: 6055, expected_value: Employee, label: employment type} + - {column: J, row: 6055, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6057 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6057, expected_value: E12000005, label: geography} + - {column: D, row: 6057, expected_value: All persons, label: sex} + - {column: E, row: 6057, expected_value: Employee, label: employment type} + - {column: J, row: 6057, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6059 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6059, expected_value: E12000005, label: geography} + - {column: D, row: 6059, expected_value: All persons, label: sex} + - {column: E, row: 6059, expected_value: Employee, label: employment type} + - {column: J, row: 6059, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6061 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6061, expected_value: E12000005, label: geography} + - {column: D, row: 6061, expected_value: All persons, label: sex} + - {column: E, row: 6061, expected_value: Employee, label: employment type} + - {column: J, row: 6061, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6063 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6063, expected_value: E12000005, label: geography} + - {column: D, row: 6063, expected_value: All persons, label: sex} + - {column: E, row: 6063, expected_value: Employee, label: employment type} + - {column: J, row: 6063, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6065 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6065, expected_value: E12000005, label: geography} + - {column: D, row: 6065, expected_value: All persons, label: sex} + - {column: E, row: 6065, expected_value: Employee, label: employment type} + - {column: J, row: 6065, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6067 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6067, expected_value: E12000005, label: geography} + - {column: D, row: 6067, expected_value: All persons, label: sex} + - {column: E, row: 6067, expected_value: Employee, label: employment type} + - {column: J, row: 6067, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6069 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6069, expected_value: E12000005, label: geography} + - {column: D, row: 6069, expected_value: All persons, label: sex} + - {column: E, row: 6069, expected_value: Employee, label: employment type} + - {column: J, row: 6069, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6071 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6071, expected_value: E12000005, label: geography} + - {column: D, row: 6071, expected_value: All persons, label: sex} + - {column: E, row: 6071, expected_value: Employee, label: employment type} + - {column: J, row: 6071, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6073 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6073, expected_value: E12000005, label: geography} + - {column: D, row: 6073, expected_value: All persons, label: sex} + - {column: E, row: 6073, expected_value: Employee, label: employment type} + - {column: J, row: 6073, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6075 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6075, expected_value: E12000005, label: geography} + - {column: D, row: 6075, expected_value: All persons, label: sex} + - {column: E, row: 6075, expected_value: Employee, label: employment type} + - {column: J, row: 6075, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6077 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6077, expected_value: E12000005, label: geography} + - {column: D, row: 6077, expected_value: All persons, label: sex} + - {column: E, row: 6077, expected_value: Employee, label: employment type} + - {column: J, row: 6077, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6079 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6079, expected_value: E12000005, label: geography} + - {column: D, row: 6079, expected_value: All persons, label: sex} + - {column: E, row: 6079, expected_value: Employee, label: employment type} + - {column: J, row: 6079, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6081 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6081, expected_value: E12000005, label: geography} + - {column: D, row: 6081, expected_value: All persons, label: sex} + - {column: E, row: 6081, expected_value: Employee, label: employment type} + - {column: J, row: 6081, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6083 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6083, expected_value: E12000005, label: geography} + - {column: D, row: 6083, expected_value: All persons, label: sex} + - {column: E, row: 6083, expected_value: Employee, label: employment type} + - {column: J, row: 6083, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6085 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6085, expected_value: E12000005, label: geography} + - {column: D, row: 6085, expected_value: All persons, label: sex} + - {column: E, row: 6085, expected_value: Employee, label: employment type} + - {column: J, row: 6085, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6087 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6087, expected_value: E12000005, label: geography} + - {column: D, row: 6087, expected_value: All persons, label: sex} + - {column: E, row: 6087, expected_value: Employee, label: employment type} + - {column: J, row: 6087, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6089 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6089, expected_value: E12000005, label: geography} + - {column: D, row: 6089, expected_value: All persons, label: sex} + - {column: E, row: 6089, expected_value: Employee, label: employment type} + - {column: J, row: 6089, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6091 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6091, expected_value: E12000005, label: geography} + - {column: D, row: 6091, expected_value: All persons, label: sex} + - {column: E, row: 6091, expected_value: Employee, label: employment type} + - {column: J, row: 6091, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6093 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6093, expected_value: E12000005, label: geography} + - {column: D, row: 6093, expected_value: All persons, label: sex} + - {column: E, row: 6093, expected_value: Employee, label: employment type} + - {column: J, row: 6093, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6095 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6095, expected_value: E12000005, label: geography} + - {column: D, row: 6095, expected_value: All persons, label: sex} + - {column: E, row: 6095, expected_value: Employee, label: employment type} + - {column: J, row: 6095, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6097 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6097, expected_value: E12000005, label: geography} + - {column: D, row: 6097, expected_value: All persons, label: sex} + - {column: E, row: 6097, expected_value: Employee, label: employment type} + - {column: J, row: 6097, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6099 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6099, expected_value: E12000005, label: geography} + - {column: D, row: 6099, expected_value: All persons, label: sex} + - {column: E, row: 6099, expected_value: Employee, label: employment type} + - {column: J, row: 6099, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6101 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6101, expected_value: E12000005, label: geography} + - {column: D, row: 6101, expected_value: All persons, label: sex} + - {column: E, row: 6101, expected_value: Employee, label: employment type} + - {column: J, row: 6101, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6105 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6105, expected_value: E12000005, label: geography} + - {column: D, row: 6105, expected_value: All persons, label: sex} + - {column: E, row: 6105, expected_value: Employee, label: employment type} + - {column: J, row: 6105, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6107 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6107, expected_value: E12000005, label: geography} + - {column: D, row: 6107, expected_value: All persons, label: sex} + - {column: E, row: 6107, expected_value: Employee, label: employment type} + - {column: J, row: 6107, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6109 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6109, expected_value: E12000005, label: geography} + - {column: D, row: 6109, expected_value: All persons, label: sex} + - {column: E, row: 6109, expected_value: Employee, label: employment type} + - {column: J, row: 6109, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6111 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6111, expected_value: E12000005, label: geography} + - {column: D, row: 6111, expected_value: All persons, label: sex} + - {column: E, row: 6111, expected_value: Employee, label: employment type} + - {column: J, row: 6111, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6113 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6113, expected_value: E12000005, label: geography} + - {column: D, row: 6113, expected_value: All persons, label: sex} + - {column: E, row: 6113, expected_value: Employee, label: employment type} + - {column: J, row: 6113, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6115 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6115, expected_value: E12000005, label: geography} + - {column: D, row: 6115, expected_value: All persons, label: sex} + - {column: E, row: 6115, expected_value: Employee, label: employment type} + - {column: J, row: 6115, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6117 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6117, expected_value: E12000005, label: geography} + - {column: D, row: 6117, expected_value: All persons, label: sex} + - {column: E, row: 6117, expected_value: Employee, label: employment type} + - {column: J, row: 6117, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6119 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6119, expected_value: E12000005, label: geography} + - {column: D, row: 6119, expected_value: All persons, label: sex} + - {column: E, row: 6119, expected_value: Employee, label: employment type} + - {column: J, row: 6119, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6121 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6121, expected_value: E12000005, label: geography} + - {column: D, row: 6121, expected_value: All persons, label: sex} + - {column: E, row: 6121, expected_value: Employee, label: employment type} + - {column: J, row: 6121, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6266 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6266, expected_value: E12000005, label: geography} + - {column: D, row: 6266, expected_value: All persons, label: sex} + - {column: E, row: 6266, expected_value: Self-employed, label: employment type} + - {column: J, row: 6266, expected_value: Value, label: measure} + - {column: L, row: 6267, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6268 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6268, expected_value: E12000005, label: geography} + - {column: D, row: 6268, expected_value: All persons, label: sex} + - {column: E, row: 6268, expected_value: Self-employed, label: employment type} + - {column: J, row: 6268, expected_value: Value, label: measure} + - {column: L, row: 6269, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6270 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6270, expected_value: E12000005, label: geography} + - {column: D, row: 6270, expected_value: All persons, label: sex} + - {column: E, row: 6270, expected_value: Self-employed, label: employment type} + - {column: J, row: 6270, expected_value: Value, label: measure} + - {column: L, row: 6271, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6272 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6272, expected_value: E12000005, label: geography} + - {column: D, row: 6272, expected_value: All persons, label: sex} + - {column: E, row: 6272, expected_value: Self-employed, label: employment type} + - {column: J, row: 6272, expected_value: Value, label: measure} + - {column: L, row: 6273, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6274 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6274, expected_value: E12000005, label: geography} + - {column: D, row: 6274, expected_value: All persons, label: sex} + - {column: E, row: 6274, expected_value: Self-employed, label: employment type} + - {column: J, row: 6274, expected_value: Value, label: measure} + - {column: L, row: 6275, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6276 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6276, expected_value: E12000005, label: geography} + - {column: D, row: 6276, expected_value: All persons, label: sex} + - {column: E, row: 6276, expected_value: Self-employed, label: employment type} + - {column: J, row: 6276, expected_value: Value, label: measure} + - {column: L, row: 6277, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6278 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6278, expected_value: E12000005, label: geography} + - {column: D, row: 6278, expected_value: All persons, label: sex} + - {column: E, row: 6278, expected_value: Self-employed, label: employment type} + - {column: J, row: 6278, expected_value: Value, label: measure} + - {column: L, row: 6279, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6280 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6280, expected_value: E12000005, label: geography} + - {column: D, row: 6280, expected_value: All persons, label: sex} + - {column: E, row: 6280, expected_value: Self-employed, label: employment type} + - {column: J, row: 6280, expected_value: Value, label: measure} + - {column: L, row: 6281, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6282 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6282, expected_value: E12000005, label: geography} + - {column: D, row: 6282, expected_value: All persons, label: sex} + - {column: E, row: 6282, expected_value: Self-employed, label: employment type} + - {column: J, row: 6282, expected_value: Value, label: measure} + - {column: L, row: 6283, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6284 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6284, expected_value: E12000005, label: geography} + - {column: D, row: 6284, expected_value: All persons, label: sex} + - {column: E, row: 6284, expected_value: Self-employed, label: employment type} + - {column: J, row: 6284, expected_value: Value, label: measure} + - {column: L, row: 6285, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6286 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6286, expected_value: E12000005, label: geography} + - {column: D, row: 6286, expected_value: All persons, label: sex} + - {column: E, row: 6286, expected_value: Self-employed, label: employment type} + - {column: J, row: 6286, expected_value: Value, label: measure} + - {column: L, row: 6287, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6288 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6288, expected_value: E12000005, label: geography} + - {column: D, row: 6288, expected_value: All persons, label: sex} + - {column: E, row: 6288, expected_value: Self-employed, label: employment type} + - {column: J, row: 6288, expected_value: Value, label: measure} + - {column: L, row: 6289, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6292 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6292, expected_value: E12000005, label: geography} + - {column: D, row: 6292, expected_value: All persons, label: sex} + - {column: E, row: 6292, expected_value: Self-employed, label: employment type} + - {column: J, row: 6292, expected_value: Value, label: measure} + - {column: L, row: 6293, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6294 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6294, expected_value: E12000005, label: geography} + - {column: D, row: 6294, expected_value: All persons, label: sex} + - {column: E, row: 6294, expected_value: Self-employed, label: employment type} + - {column: J, row: 6294, expected_value: Value, label: measure} + - {column: L, row: 6295, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6296 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6296, expected_value: E12000005, label: geography} + - {column: D, row: 6296, expected_value: All persons, label: sex} + - {column: E, row: 6296, expected_value: Self-employed, label: employment type} + - {column: J, row: 6296, expected_value: Value, label: measure} + - {column: L, row: 6297, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6298 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6298, expected_value: E12000005, label: geography} + - {column: D, row: 6298, expected_value: All persons, label: sex} + - {column: E, row: 6298, expected_value: Self-employed, label: employment type} + - {column: J, row: 6298, expected_value: Value, label: measure} + - {column: L, row: 6299, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6300 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6300, expected_value: E12000005, label: geography} + - {column: D, row: 6300, expected_value: All persons, label: sex} + - {column: E, row: 6300, expected_value: Self-employed, label: employment type} + - {column: J, row: 6300, expected_value: Value, label: measure} + - {column: L, row: 6301, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6302 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6302, expected_value: E12000005, label: geography} + - {column: D, row: 6302, expected_value: All persons, label: sex} + - {column: E, row: 6302, expected_value: Self-employed, label: employment type} + - {column: J, row: 6302, expected_value: Value, label: measure} + - {column: L, row: 6303, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6304 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6304, expected_value: E12000005, label: geography} + - {column: D, row: 6304, expected_value: All persons, label: sex} + - {column: E, row: 6304, expected_value: Self-employed, label: employment type} + - {column: J, row: 6304, expected_value: Value, label: measure} + - {column: L, row: 6305, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6306 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6306, expected_value: E12000005, label: geography} + - {column: D, row: 6306, expected_value: All persons, label: sex} + - {column: E, row: 6306, expected_value: Self-employed, label: employment type} + - {column: J, row: 6306, expected_value: Value, label: measure} + - {column: L, row: 6307, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6308 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6308, expected_value: E12000005, label: geography} + - {column: D, row: 6308, expected_value: All persons, label: sex} + - {column: E, row: 6308, expected_value: Self-employed, label: employment type} + - {column: J, row: 6308, expected_value: Value, label: measure} + - {column: L, row: 6309, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6310 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6310, expected_value: E12000005, label: geography} + - {column: D, row: 6310, expected_value: All persons, label: sex} + - {column: E, row: 6310, expected_value: Self-employed, label: employment type} + - {column: J, row: 6310, expected_value: Value, label: measure} + - {column: L, row: 6311, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6312 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6312, expected_value: E12000005, label: geography} + - {column: D, row: 6312, expected_value: All persons, label: sex} + - {column: E, row: 6312, expected_value: Self-employed, label: employment type} + - {column: J, row: 6312, expected_value: Value, label: measure} + - {column: L, row: 6313, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6314 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6314, expected_value: E12000005, label: geography} + - {column: D, row: 6314, expected_value: All persons, label: sex} + - {column: E, row: 6314, expected_value: Self-employed, label: employment type} + - {column: J, row: 6314, expected_value: Value, label: measure} + - {column: L, row: 6315, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6316 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6316, expected_value: E12000005, label: geography} + - {column: D, row: 6316, expected_value: All persons, label: sex} + - {column: E, row: 6316, expected_value: Self-employed, label: employment type} + - {column: J, row: 6316, expected_value: Value, label: measure} + - {column: L, row: 6317, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6320 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6320, expected_value: E12000005, label: geography} + - {column: D, row: 6320, expected_value: All persons, label: sex} + - {column: E, row: 6320, expected_value: Self-employed, label: employment type} + - {column: J, row: 6320, expected_value: Value, label: measure} + - {column: L, row: 6321, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6322 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6322, expected_value: E12000005, label: geography} + - {column: D, row: 6322, expected_value: All persons, label: sex} + - {column: E, row: 6322, expected_value: Self-employed, label: employment type} + - {column: J, row: 6322, expected_value: Value, label: measure} + - {column: L, row: 6323, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6326 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6326, expected_value: E12000005, label: geography} + - {column: D, row: 6326, expected_value: All persons, label: sex} + - {column: E, row: 6326, expected_value: Self-employed, label: employment type} + - {column: J, row: 6326, expected_value: Value, label: measure} + - {column: L, row: 6327, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6328 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6328, expected_value: E12000005, label: geography} + - {column: D, row: 6328, expected_value: All persons, label: sex} + - {column: E, row: 6328, expected_value: Self-employed, label: employment type} + - {column: J, row: 6328, expected_value: Value, label: measure} + - {column: L, row: 6329, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6330 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6330, expected_value: E12000005, label: geography} + - {column: D, row: 6330, expected_value: All persons, label: sex} + - {column: E, row: 6330, expected_value: Self-employed, label: employment type} + - {column: J, row: 6330, expected_value: Value, label: measure} + - {column: L, row: 6331, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6332 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6332, expected_value: E12000005, label: geography} + - {column: D, row: 6332, expected_value: All persons, label: sex} + - {column: E, row: 6332, expected_value: Self-employed, label: employment type} + - {column: J, row: 6332, expected_value: Value, label: measure} + - {column: L, row: 6333, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6334 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6334, expected_value: E12000005, label: geography} + - {column: D, row: 6334, expected_value: All persons, label: sex} + - {column: E, row: 6334, expected_value: Self-employed, label: employment type} + - {column: J, row: 6334, expected_value: Value, label: measure} + - {column: L, row: 6335, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6336 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6336, expected_value: E12000005, label: geography} + - {column: D, row: 6336, expected_value: All persons, label: sex} + - {column: E, row: 6336, expected_value: Self-employed, label: employment type} + - {column: J, row: 6336, expected_value: Value, label: measure} + - {column: L, row: 6337, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6267 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6267, expected_value: E12000005, label: geography} + - {column: D, row: 6267, expected_value: All persons, label: sex} + - {column: E, row: 6267, expected_value: Self-employed, label: employment type} + - {column: J, row: 6267, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6269 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6269, expected_value: E12000005, label: geography} + - {column: D, row: 6269, expected_value: All persons, label: sex} + - {column: E, row: 6269, expected_value: Self-employed, label: employment type} + - {column: J, row: 6269, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6271 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6271, expected_value: E12000005, label: geography} + - {column: D, row: 6271, expected_value: All persons, label: sex} + - {column: E, row: 6271, expected_value: Self-employed, label: employment type} + - {column: J, row: 6271, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6273 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6273, expected_value: E12000005, label: geography} + - {column: D, row: 6273, expected_value: All persons, label: sex} + - {column: E, row: 6273, expected_value: Self-employed, label: employment type} + - {column: J, row: 6273, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6275 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6275, expected_value: E12000005, label: geography} + - {column: D, row: 6275, expected_value: All persons, label: sex} + - {column: E, row: 6275, expected_value: Self-employed, label: employment type} + - {column: J, row: 6275, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6277 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6277, expected_value: E12000005, label: geography} + - {column: D, row: 6277, expected_value: All persons, label: sex} + - {column: E, row: 6277, expected_value: Self-employed, label: employment type} + - {column: J, row: 6277, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6279 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6279, expected_value: E12000005, label: geography} + - {column: D, row: 6279, expected_value: All persons, label: sex} + - {column: E, row: 6279, expected_value: Self-employed, label: employment type} + - {column: J, row: 6279, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6281 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6281, expected_value: E12000005, label: geography} + - {column: D, row: 6281, expected_value: All persons, label: sex} + - {column: E, row: 6281, expected_value: Self-employed, label: employment type} + - {column: J, row: 6281, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6283 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6283, expected_value: E12000005, label: geography} + - {column: D, row: 6283, expected_value: All persons, label: sex} + - {column: E, row: 6283, expected_value: Self-employed, label: employment type} + - {column: J, row: 6283, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6285 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6285, expected_value: E12000005, label: geography} + - {column: D, row: 6285, expected_value: All persons, label: sex} + - {column: E, row: 6285, expected_value: Self-employed, label: employment type} + - {column: J, row: 6285, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6289 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6289, expected_value: E12000005, label: geography} + - {column: D, row: 6289, expected_value: All persons, label: sex} + - {column: E, row: 6289, expected_value: Self-employed, label: employment type} + - {column: J, row: 6289, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6293 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6293, expected_value: E12000005, label: geography} + - {column: D, row: 6293, expected_value: All persons, label: sex} + - {column: E, row: 6293, expected_value: Self-employed, label: employment type} + - {column: J, row: 6293, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6295 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6295, expected_value: E12000005, label: geography} + - {column: D, row: 6295, expected_value: All persons, label: sex} + - {column: E, row: 6295, expected_value: Self-employed, label: employment type} + - {column: J, row: 6295, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6297 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6297, expected_value: E12000005, label: geography} + - {column: D, row: 6297, expected_value: All persons, label: sex} + - {column: E, row: 6297, expected_value: Self-employed, label: employment type} + - {column: J, row: 6297, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6299 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6299, expected_value: E12000005, label: geography} + - {column: D, row: 6299, expected_value: All persons, label: sex} + - {column: E, row: 6299, expected_value: Self-employed, label: employment type} + - {column: J, row: 6299, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6303 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6303, expected_value: E12000005, label: geography} + - {column: D, row: 6303, expected_value: All persons, label: sex} + - {column: E, row: 6303, expected_value: Self-employed, label: employment type} + - {column: J, row: 6303, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6305 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6305, expected_value: E12000005, label: geography} + - {column: D, row: 6305, expected_value: All persons, label: sex} + - {column: E, row: 6305, expected_value: Self-employed, label: employment type} + - {column: J, row: 6305, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6307 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6307, expected_value: E12000005, label: geography} + - {column: D, row: 6307, expected_value: All persons, label: sex} + - {column: E, row: 6307, expected_value: Self-employed, label: employment type} + - {column: J, row: 6307, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6309 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6309, expected_value: E12000005, label: geography} + - {column: D, row: 6309, expected_value: All persons, label: sex} + - {column: E, row: 6309, expected_value: Self-employed, label: employment type} + - {column: J, row: 6309, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6311 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6311, expected_value: E12000005, label: geography} + - {column: D, row: 6311, expected_value: All persons, label: sex} + - {column: E, row: 6311, expected_value: Self-employed, label: employment type} + - {column: J, row: 6311, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6313 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6313, expected_value: E12000005, label: geography} + - {column: D, row: 6313, expected_value: All persons, label: sex} + - {column: E, row: 6313, expected_value: Self-employed, label: employment type} + - {column: J, row: 6313, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6315 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6315, expected_value: E12000005, label: geography} + - {column: D, row: 6315, expected_value: All persons, label: sex} + - {column: E, row: 6315, expected_value: Self-employed, label: employment type} + - {column: J, row: 6315, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6317 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6317, expected_value: E12000005, label: geography} + - {column: D, row: 6317, expected_value: All persons, label: sex} + - {column: E, row: 6317, expected_value: Self-employed, label: employment type} + - {column: J, row: 6317, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6321 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6321, expected_value: E12000005, label: geography} + - {column: D, row: 6321, expected_value: All persons, label: sex} + - {column: E, row: 6321, expected_value: Self-employed, label: employment type} + - {column: J, row: 6321, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6323 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6323, expected_value: E12000005, label: geography} + - {column: D, row: 6323, expected_value: All persons, label: sex} + - {column: E, row: 6323, expected_value: Self-employed, label: employment type} + - {column: J, row: 6323, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6327 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6327, expected_value: E12000005, label: geography} + - {column: D, row: 6327, expected_value: All persons, label: sex} + - {column: E, row: 6327, expected_value: Self-employed, label: employment type} + - {column: J, row: 6327, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6331 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6331, expected_value: E12000005, label: geography} + - {column: D, row: 6331, expected_value: All persons, label: sex} + - {column: E, row: 6331, expected_value: Self-employed, label: employment type} + - {column: J, row: 6331, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6333 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6333, expected_value: E12000005, label: geography} + - {column: D, row: 6333, expected_value: All persons, label: sex} + - {column: E, row: 6333, expected_value: Self-employed, label: employment type} + - {column: J, row: 6333, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6335 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6335, expected_value: E12000005, label: geography} + - {column: D, row: 6335, expected_value: All persons, label: sex} + - {column: E, row: 6335, expected_value: Self-employed, label: employment type} + - {column: J, row: 6335, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6337 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6337, expected_value: E12000005, label: geography} + - {column: D, row: 6337, expected_value: All persons, label: sex} + - {column: E, row: 6337, expected_value: Self-employed, label: employment type} + - {column: J, row: 6337, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5906 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5906, expected_value: E12000005, label: geography} + - {column: D, row: 5906, expected_value: Males, label: sex} + - {column: E, row: 5906, expected_value: Total, label: employment type} + - {column: J, row: 5906, expected_value: Value, label: measure} + - {column: L, row: 5907, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5908 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5908, expected_value: E12000005, label: geography} + - {column: D, row: 5908, expected_value: Males, label: sex} + - {column: E, row: 5908, expected_value: Total, label: employment type} + - {column: J, row: 5908, expected_value: Value, label: measure} + - {column: L, row: 5909, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5910 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5910, expected_value: E12000005, label: geography} + - {column: D, row: 5910, expected_value: Males, label: sex} + - {column: E, row: 5910, expected_value: Total, label: employment type} + - {column: J, row: 5910, expected_value: Value, label: measure} + - {column: L, row: 5911, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5912 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5912, expected_value: E12000005, label: geography} + - {column: D, row: 5912, expected_value: Males, label: sex} + - {column: E, row: 5912, expected_value: Total, label: employment type} + - {column: J, row: 5912, expected_value: Value, label: measure} + - {column: L, row: 5913, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5914 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5914, expected_value: E12000005, label: geography} + - {column: D, row: 5914, expected_value: Males, label: sex} + - {column: E, row: 5914, expected_value: Total, label: employment type} + - {column: J, row: 5914, expected_value: Value, label: measure} + - {column: L, row: 5915, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5916 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5916, expected_value: E12000005, label: geography} + - {column: D, row: 5916, expected_value: Males, label: sex} + - {column: E, row: 5916, expected_value: Total, label: employment type} + - {column: J, row: 5916, expected_value: Value, label: measure} + - {column: L, row: 5917, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5918 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5918, expected_value: E12000005, label: geography} + - {column: D, row: 5918, expected_value: Males, label: sex} + - {column: E, row: 5918, expected_value: Total, label: employment type} + - {column: J, row: 5918, expected_value: Value, label: measure} + - {column: L, row: 5919, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5920 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5920, expected_value: E12000005, label: geography} + - {column: D, row: 5920, expected_value: Males, label: sex} + - {column: E, row: 5920, expected_value: Total, label: employment type} + - {column: J, row: 5920, expected_value: Value, label: measure} + - {column: L, row: 5921, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5922 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5922, expected_value: E12000005, label: geography} + - {column: D, row: 5922, expected_value: Males, label: sex} + - {column: E, row: 5922, expected_value: Total, label: employment type} + - {column: J, row: 5922, expected_value: Value, label: measure} + - {column: L, row: 5923, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5924 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5924, expected_value: E12000005, label: geography} + - {column: D, row: 5924, expected_value: Males, label: sex} + - {column: E, row: 5924, expected_value: Total, label: employment type} + - {column: J, row: 5924, expected_value: Value, label: measure} + - {column: L, row: 5925, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5926 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5926, expected_value: E12000005, label: geography} + - {column: D, row: 5926, expected_value: Males, label: sex} + - {column: E, row: 5926, expected_value: Total, label: employment type} + - {column: J, row: 5926, expected_value: Value, label: measure} + - {column: L, row: 5927, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5928 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5928, expected_value: E12000005, label: geography} + - {column: D, row: 5928, expected_value: Males, label: sex} + - {column: E, row: 5928, expected_value: Total, label: employment type} + - {column: J, row: 5928, expected_value: Value, label: measure} + - {column: L, row: 5929, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5930 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5930, expected_value: E12000005, label: geography} + - {column: D, row: 5930, expected_value: Males, label: sex} + - {column: E, row: 5930, expected_value: Total, label: employment type} + - {column: J, row: 5930, expected_value: Value, label: measure} + - {column: L, row: 5931, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5932 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5932, expected_value: E12000005, label: geography} + - {column: D, row: 5932, expected_value: Males, label: sex} + - {column: E, row: 5932, expected_value: Total, label: employment type} + - {column: J, row: 5932, expected_value: Value, label: measure} + - {column: L, row: 5933, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5934 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5934, expected_value: E12000005, label: geography} + - {column: D, row: 5934, expected_value: Males, label: sex} + - {column: E, row: 5934, expected_value: Total, label: employment type} + - {column: J, row: 5934, expected_value: Value, label: measure} + - {column: L, row: 5935, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5936 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5936, expected_value: E12000005, label: geography} + - {column: D, row: 5936, expected_value: Males, label: sex} + - {column: E, row: 5936, expected_value: Total, label: employment type} + - {column: J, row: 5936, expected_value: Value, label: measure} + - {column: L, row: 5937, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5938 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5938, expected_value: E12000005, label: geography} + - {column: D, row: 5938, expected_value: Males, label: sex} + - {column: E, row: 5938, expected_value: Total, label: employment type} + - {column: J, row: 5938, expected_value: Value, label: measure} + - {column: L, row: 5939, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 5940 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 5940, expected_value: E12000005, label: geography} + - {column: D, row: 5940, expected_value: Males, label: sex} + - {column: E, row: 5940, expected_value: Total, label: employment type} + - {column: J, row: 5940, expected_value: Value, label: measure} + - {column: L, row: 5941, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5942 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5942, expected_value: E12000005, label: geography} + - {column: D, row: 5942, expected_value: Males, label: sex} + - {column: E, row: 5942, expected_value: Total, label: employment type} + - {column: J, row: 5942, expected_value: Value, label: measure} + - {column: L, row: 5943, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5944 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5944, expected_value: E12000005, label: geography} + - {column: D, row: 5944, expected_value: Males, label: sex} + - {column: E, row: 5944, expected_value: Total, label: employment type} + - {column: J, row: 5944, expected_value: Value, label: measure} + - {column: L, row: 5945, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5946 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5946, expected_value: E12000005, label: geography} + - {column: D, row: 5946, expected_value: Males, label: sex} + - {column: E, row: 5946, expected_value: Total, label: employment type} + - {column: J, row: 5946, expected_value: Value, label: measure} + - {column: L, row: 5947, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5948 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5948, expected_value: E12000005, label: geography} + - {column: D, row: 5948, expected_value: Males, label: sex} + - {column: E, row: 5948, expected_value: Total, label: employment type} + - {column: J, row: 5948, expected_value: Value, label: measure} + - {column: L, row: 5949, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5950 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5950, expected_value: E12000005, label: geography} + - {column: D, row: 5950, expected_value: Males, label: sex} + - {column: E, row: 5950, expected_value: Total, label: employment type} + - {column: J, row: 5950, expected_value: Value, label: measure} + - {column: L, row: 5951, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5952 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5952, expected_value: E12000005, label: geography} + - {column: D, row: 5952, expected_value: Males, label: sex} + - {column: E, row: 5952, expected_value: Total, label: employment type} + - {column: J, row: 5952, expected_value: Value, label: measure} + - {column: L, row: 5953, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5954 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5954, expected_value: E12000005, label: geography} + - {column: D, row: 5954, expected_value: Males, label: sex} + - {column: E, row: 5954, expected_value: Total, label: employment type} + - {column: J, row: 5954, expected_value: Value, label: measure} + - {column: L, row: 5955, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5956 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5956, expected_value: E12000005, label: geography} + - {column: D, row: 5956, expected_value: Males, label: sex} + - {column: E, row: 5956, expected_value: Total, label: employment type} + - {column: J, row: 5956, expected_value: Value, label: measure} + - {column: L, row: 5957, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 5958 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 5958, expected_value: E12000005, label: geography} + - {column: D, row: 5958, expected_value: Males, label: sex} + - {column: E, row: 5958, expected_value: Total, label: employment type} + - {column: J, row: 5958, expected_value: Value, label: measure} + - {column: L, row: 5959, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5960 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5960, expected_value: E12000005, label: geography} + - {column: D, row: 5960, expected_value: Males, label: sex} + - {column: E, row: 5960, expected_value: Total, label: employment type} + - {column: J, row: 5960, expected_value: Value, label: measure} + - {column: L, row: 5961, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5962 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5962, expected_value: E12000005, label: geography} + - {column: D, row: 5962, expected_value: Males, label: sex} + - {column: E, row: 5962, expected_value: Total, label: employment type} + - {column: J, row: 5962, expected_value: Value, label: measure} + - {column: L, row: 5963, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5964 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5964, expected_value: E12000005, label: geography} + - {column: D, row: 5964, expected_value: Males, label: sex} + - {column: E, row: 5964, expected_value: Total, label: employment type} + - {column: J, row: 5964, expected_value: Value, label: measure} + - {column: L, row: 5965, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5966 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5966, expected_value: E12000005, label: geography} + - {column: D, row: 5966, expected_value: Males, label: sex} + - {column: E, row: 5966, expected_value: Total, label: employment type} + - {column: J, row: 5966, expected_value: Value, label: measure} + - {column: L, row: 5967, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5968 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5968, expected_value: E12000005, label: geography} + - {column: D, row: 5968, expected_value: Males, label: sex} + - {column: E, row: 5968, expected_value: Total, label: employment type} + - {column: J, row: 5968, expected_value: Value, label: measure} + - {column: L, row: 5969, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5970 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5970, expected_value: E12000005, label: geography} + - {column: D, row: 5970, expected_value: Males, label: sex} + - {column: E, row: 5970, expected_value: Total, label: employment type} + - {column: J, row: 5970, expected_value: Value, label: measure} + - {column: L, row: 5971, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5972 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5972, expected_value: E12000005, label: geography} + - {column: D, row: 5972, expected_value: Males, label: sex} + - {column: E, row: 5972, expected_value: Total, label: employment type} + - {column: J, row: 5972, expected_value: Value, label: measure} + - {column: L, row: 5973, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5974 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5974, expected_value: E12000005, label: geography} + - {column: D, row: 5974, expected_value: Males, label: sex} + - {column: E, row: 5974, expected_value: Total, label: employment type} + - {column: J, row: 5974, expected_value: Value, label: measure} + - {column: L, row: 5975, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5976 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5976, expected_value: E12000005, label: geography} + - {column: D, row: 5976, expected_value: Males, label: sex} + - {column: E, row: 5976, expected_value: Total, label: employment type} + - {column: J, row: 5976, expected_value: Value, label: measure} + - {column: L, row: 5977, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5907 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5907, expected_value: E12000005, label: geography} + - {column: D, row: 5907, expected_value: Males, label: sex} + - {column: E, row: 5907, expected_value: Total, label: employment type} + - {column: J, row: 5907, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5909 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5909, expected_value: E12000005, label: geography} + - {column: D, row: 5909, expected_value: Males, label: sex} + - {column: E, row: 5909, expected_value: Total, label: employment type} + - {column: J, row: 5909, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5911 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5911, expected_value: E12000005, label: geography} + - {column: D, row: 5911, expected_value: Males, label: sex} + - {column: E, row: 5911, expected_value: Total, label: employment type} + - {column: J, row: 5911, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5913 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5913, expected_value: E12000005, label: geography} + - {column: D, row: 5913, expected_value: Males, label: sex} + - {column: E, row: 5913, expected_value: Total, label: employment type} + - {column: J, row: 5913, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5915 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5915, expected_value: E12000005, label: geography} + - {column: D, row: 5915, expected_value: Males, label: sex} + - {column: E, row: 5915, expected_value: Total, label: employment type} + - {column: J, row: 5915, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5917 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5917, expected_value: E12000005, label: geography} + - {column: D, row: 5917, expected_value: Males, label: sex} + - {column: E, row: 5917, expected_value: Total, label: employment type} + - {column: J, row: 5917, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5919 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5919, expected_value: E12000005, label: geography} + - {column: D, row: 5919, expected_value: Males, label: sex} + - {column: E, row: 5919, expected_value: Total, label: employment type} + - {column: J, row: 5919, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5921 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5921, expected_value: E12000005, label: geography} + - {column: D, row: 5921, expected_value: Males, label: sex} + - {column: E, row: 5921, expected_value: Total, label: employment type} + - {column: J, row: 5921, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5923 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5923, expected_value: E12000005, label: geography} + - {column: D, row: 5923, expected_value: Males, label: sex} + - {column: E, row: 5923, expected_value: Total, label: employment type} + - {column: J, row: 5923, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5925 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5925, expected_value: E12000005, label: geography} + - {column: D, row: 5925, expected_value: Males, label: sex} + - {column: E, row: 5925, expected_value: Total, label: employment type} + - {column: J, row: 5925, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5927 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5927, expected_value: E12000005, label: geography} + - {column: D, row: 5927, expected_value: Males, label: sex} + - {column: E, row: 5927, expected_value: Total, label: employment type} + - {column: J, row: 5927, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 5929 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 5929, expected_value: E12000005, label: geography} + - {column: D, row: 5929, expected_value: Males, label: sex} + - {column: E, row: 5929, expected_value: Total, label: employment type} + - {column: J, row: 5929, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 5931 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 5931, expected_value: E12000005, label: geography} + - {column: D, row: 5931, expected_value: Males, label: sex} + - {column: E, row: 5931, expected_value: Total, label: employment type} + - {column: J, row: 5931, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 5933 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 5933, expected_value: E12000005, label: geography} + - {column: D, row: 5933, expected_value: Males, label: sex} + - {column: E, row: 5933, expected_value: Total, label: employment type} + - {column: J, row: 5933, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 5935 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 5935, expected_value: E12000005, label: geography} + - {column: D, row: 5935, expected_value: Males, label: sex} + - {column: E, row: 5935, expected_value: Total, label: employment type} + - {column: J, row: 5935, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 5937 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 5937, expected_value: E12000005, label: geography} + - {column: D, row: 5937, expected_value: Males, label: sex} + - {column: E, row: 5937, expected_value: Total, label: employment type} + - {column: J, row: 5937, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 5939 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 5939, expected_value: E12000005, label: geography} + - {column: D, row: 5939, expected_value: Males, label: sex} + - {column: E, row: 5939, expected_value: Total, label: employment type} + - {column: J, row: 5939, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 5943 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 5943, expected_value: E12000005, label: geography} + - {column: D, row: 5943, expected_value: Males, label: sex} + - {column: E, row: 5943, expected_value: Total, label: employment type} + - {column: J, row: 5943, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 5945 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 5945, expected_value: E12000005, label: geography} + - {column: D, row: 5945, expected_value: Males, label: sex} + - {column: E, row: 5945, expected_value: Total, label: employment type} + - {column: J, row: 5945, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 5947 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 5947, expected_value: E12000005, label: geography} + - {column: D, row: 5947, expected_value: Males, label: sex} + - {column: E, row: 5947, expected_value: Total, label: employment type} + - {column: J, row: 5947, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 5949 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 5949, expected_value: E12000005, label: geography} + - {column: D, row: 5949, expected_value: Males, label: sex} + - {column: E, row: 5949, expected_value: Total, label: employment type} + - {column: J, row: 5949, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 5951 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 5951, expected_value: E12000005, label: geography} + - {column: D, row: 5951, expected_value: Males, label: sex} + - {column: E, row: 5951, expected_value: Total, label: employment type} + - {column: J, row: 5951, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 5953 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 5953, expected_value: E12000005, label: geography} + - {column: D, row: 5953, expected_value: Males, label: sex} + - {column: E, row: 5953, expected_value: Total, label: employment type} + - {column: J, row: 5953, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 5955 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 5955, expected_value: E12000005, label: geography} + - {column: D, row: 5955, expected_value: Males, label: sex} + - {column: E, row: 5955, expected_value: Total, label: employment type} + - {column: J, row: 5955, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 5957 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 5957, expected_value: E12000005, label: geography} + - {column: D, row: 5957, expected_value: Males, label: sex} + - {column: E, row: 5957, expected_value: Total, label: employment type} + - {column: J, row: 5957, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 5961 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 5961, expected_value: E12000005, label: geography} + - {column: D, row: 5961, expected_value: Males, label: sex} + - {column: E, row: 5961, expected_value: Total, label: employment type} + - {column: J, row: 5961, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 5963 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 5963, expected_value: E12000005, label: geography} + - {column: D, row: 5963, expected_value: Males, label: sex} + - {column: E, row: 5963, expected_value: Total, label: employment type} + - {column: J, row: 5963, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 5965 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 5965, expected_value: E12000005, label: geography} + - {column: D, row: 5965, expected_value: Males, label: sex} + - {column: E, row: 5965, expected_value: Total, label: employment type} + - {column: J, row: 5965, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 5967 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 5967, expected_value: E12000005, label: geography} + - {column: D, row: 5967, expected_value: Males, label: sex} + - {column: E, row: 5967, expected_value: Total, label: employment type} + - {column: J, row: 5967, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 5969 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 5969, expected_value: E12000005, label: geography} + - {column: D, row: 5969, expected_value: Males, label: sex} + - {column: E, row: 5969, expected_value: Total, label: employment type} + - {column: J, row: 5969, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 5971 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 5971, expected_value: E12000005, label: geography} + - {column: D, row: 5971, expected_value: Males, label: sex} + - {column: E, row: 5971, expected_value: Total, label: employment type} + - {column: J, row: 5971, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 5973 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 5973, expected_value: E12000005, label: geography} + - {column: D, row: 5973, expected_value: Males, label: sex} + - {column: E, row: 5973, expected_value: Total, label: employment type} + - {column: J, row: 5973, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 5975 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 5975, expected_value: E12000005, label: geography} + - {column: D, row: 5975, expected_value: Males, label: sex} + - {column: E, row: 5975, expected_value: Total, label: employment type} + - {column: J, row: 5975, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 5977 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 5977, expected_value: E12000005, label: geography} + - {column: D, row: 5977, expected_value: Males, label: sex} + - {column: E, row: 5977, expected_value: Total, label: employment type} + - {column: J, row: 5977, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6122 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6122, expected_value: E12000005, label: geography} + - {column: D, row: 6122, expected_value: Males, label: sex} + - {column: E, row: 6122, expected_value: Employee, label: employment type} + - {column: J, row: 6122, expected_value: Value, label: measure} + - {column: L, row: 6123, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6124 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6124, expected_value: E12000005, label: geography} + - {column: D, row: 6124, expected_value: Males, label: sex} + - {column: E, row: 6124, expected_value: Employee, label: employment type} + - {column: J, row: 6124, expected_value: Value, label: measure} + - {column: L, row: 6125, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6126 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6126, expected_value: E12000005, label: geography} + - {column: D, row: 6126, expected_value: Males, label: sex} + - {column: E, row: 6126, expected_value: Employee, label: employment type} + - {column: J, row: 6126, expected_value: Value, label: measure} + - {column: L, row: 6127, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6128 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6128, expected_value: E12000005, label: geography} + - {column: D, row: 6128, expected_value: Males, label: sex} + - {column: E, row: 6128, expected_value: Employee, label: employment type} + - {column: J, row: 6128, expected_value: Value, label: measure} + - {column: L, row: 6129, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6130 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6130, expected_value: E12000005, label: geography} + - {column: D, row: 6130, expected_value: Males, label: sex} + - {column: E, row: 6130, expected_value: Employee, label: employment type} + - {column: J, row: 6130, expected_value: Value, label: measure} + - {column: L, row: 6131, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6132 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6132, expected_value: E12000005, label: geography} + - {column: D, row: 6132, expected_value: Males, label: sex} + - {column: E, row: 6132, expected_value: Employee, label: employment type} + - {column: J, row: 6132, expected_value: Value, label: measure} + - {column: L, row: 6133, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6134 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6134, expected_value: E12000005, label: geography} + - {column: D, row: 6134, expected_value: Males, label: sex} + - {column: E, row: 6134, expected_value: Employee, label: employment type} + - {column: J, row: 6134, expected_value: Value, label: measure} + - {column: L, row: 6135, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6136 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6136, expected_value: E12000005, label: geography} + - {column: D, row: 6136, expected_value: Males, label: sex} + - {column: E, row: 6136, expected_value: Employee, label: employment type} + - {column: J, row: 6136, expected_value: Value, label: measure} + - {column: L, row: 6137, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6138 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6138, expected_value: E12000005, label: geography} + - {column: D, row: 6138, expected_value: Males, label: sex} + - {column: E, row: 6138, expected_value: Employee, label: employment type} + - {column: J, row: 6138, expected_value: Value, label: measure} + - {column: L, row: 6139, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6140 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6140, expected_value: E12000005, label: geography} + - {column: D, row: 6140, expected_value: Males, label: sex} + - {column: E, row: 6140, expected_value: Employee, label: employment type} + - {column: J, row: 6140, expected_value: Value, label: measure} + - {column: L, row: 6141, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6142 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6142, expected_value: E12000005, label: geography} + - {column: D, row: 6142, expected_value: Males, label: sex} + - {column: E, row: 6142, expected_value: Employee, label: employment type} + - {column: J, row: 6142, expected_value: Value, label: measure} + - {column: L, row: 6143, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6144 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6144, expected_value: E12000005, label: geography} + - {column: D, row: 6144, expected_value: Males, label: sex} + - {column: E, row: 6144, expected_value: Employee, label: employment type} + - {column: J, row: 6144, expected_value: Value, label: measure} + - {column: L, row: 6145, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6146 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6146, expected_value: E12000005, label: geography} + - {column: D, row: 6146, expected_value: Males, label: sex} + - {column: E, row: 6146, expected_value: Employee, label: employment type} + - {column: J, row: 6146, expected_value: Value, label: measure} + - {column: L, row: 6147, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6148 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6148, expected_value: E12000005, label: geography} + - {column: D, row: 6148, expected_value: Males, label: sex} + - {column: E, row: 6148, expected_value: Employee, label: employment type} + - {column: J, row: 6148, expected_value: Value, label: measure} + - {column: L, row: 6149, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6150 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6150, expected_value: E12000005, label: geography} + - {column: D, row: 6150, expected_value: Males, label: sex} + - {column: E, row: 6150, expected_value: Employee, label: employment type} + - {column: J, row: 6150, expected_value: Value, label: measure} + - {column: L, row: 6151, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6152 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6152, expected_value: E12000005, label: geography} + - {column: D, row: 6152, expected_value: Males, label: sex} + - {column: E, row: 6152, expected_value: Employee, label: employment type} + - {column: J, row: 6152, expected_value: Value, label: measure} + - {column: L, row: 6153, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6154 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6154, expected_value: E12000005, label: geography} + - {column: D, row: 6154, expected_value: Males, label: sex} + - {column: E, row: 6154, expected_value: Employee, label: employment type} + - {column: J, row: 6154, expected_value: Value, label: measure} + - {column: L, row: 6155, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6156 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6156, expected_value: E12000005, label: geography} + - {column: D, row: 6156, expected_value: Males, label: sex} + - {column: E, row: 6156, expected_value: Employee, label: employment type} + - {column: J, row: 6156, expected_value: Value, label: measure} + - {column: L, row: 6157, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6158 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6158, expected_value: E12000005, label: geography} + - {column: D, row: 6158, expected_value: Males, label: sex} + - {column: E, row: 6158, expected_value: Employee, label: employment type} + - {column: J, row: 6158, expected_value: Value, label: measure} + - {column: L, row: 6159, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6160 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6160, expected_value: E12000005, label: geography} + - {column: D, row: 6160, expected_value: Males, label: sex} + - {column: E, row: 6160, expected_value: Employee, label: employment type} + - {column: J, row: 6160, expected_value: Value, label: measure} + - {column: L, row: 6161, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6162 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6162, expected_value: E12000005, label: geography} + - {column: D, row: 6162, expected_value: Males, label: sex} + - {column: E, row: 6162, expected_value: Employee, label: employment type} + - {column: J, row: 6162, expected_value: Value, label: measure} + - {column: L, row: 6163, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6164 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6164, expected_value: E12000005, label: geography} + - {column: D, row: 6164, expected_value: Males, label: sex} + - {column: E, row: 6164, expected_value: Employee, label: employment type} + - {column: J, row: 6164, expected_value: Value, label: measure} + - {column: L, row: 6165, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6166 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6166, expected_value: E12000005, label: geography} + - {column: D, row: 6166, expected_value: Males, label: sex} + - {column: E, row: 6166, expected_value: Employee, label: employment type} + - {column: J, row: 6166, expected_value: Value, label: measure} + - {column: L, row: 6167, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6168 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6168, expected_value: E12000005, label: geography} + - {column: D, row: 6168, expected_value: Males, label: sex} + - {column: E, row: 6168, expected_value: Employee, label: employment type} + - {column: J, row: 6168, expected_value: Value, label: measure} + - {column: L, row: 6169, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6170 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6170, expected_value: E12000005, label: geography} + - {column: D, row: 6170, expected_value: Males, label: sex} + - {column: E, row: 6170, expected_value: Employee, label: employment type} + - {column: J, row: 6170, expected_value: Value, label: measure} + - {column: L, row: 6171, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6172 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6172, expected_value: E12000005, label: geography} + - {column: D, row: 6172, expected_value: Males, label: sex} + - {column: E, row: 6172, expected_value: Employee, label: employment type} + - {column: J, row: 6172, expected_value: Value, label: measure} + - {column: L, row: 6173, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6174 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6174, expected_value: E12000005, label: geography} + - {column: D, row: 6174, expected_value: Males, label: sex} + - {column: E, row: 6174, expected_value: Employee, label: employment type} + - {column: J, row: 6174, expected_value: Value, label: measure} + - {column: L, row: 6175, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6176 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6176, expected_value: E12000005, label: geography} + - {column: D, row: 6176, expected_value: Males, label: sex} + - {column: E, row: 6176, expected_value: Employee, label: employment type} + - {column: J, row: 6176, expected_value: Value, label: measure} + - {column: L, row: 6177, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6178 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6178, expected_value: E12000005, label: geography} + - {column: D, row: 6178, expected_value: Males, label: sex} + - {column: E, row: 6178, expected_value: Employee, label: employment type} + - {column: J, row: 6178, expected_value: Value, label: measure} + - {column: L, row: 6179, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6180 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6180, expected_value: E12000005, label: geography} + - {column: D, row: 6180, expected_value: Males, label: sex} + - {column: E, row: 6180, expected_value: Employee, label: employment type} + - {column: J, row: 6180, expected_value: Value, label: measure} + - {column: L, row: 6181, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6182 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6182, expected_value: E12000005, label: geography} + - {column: D, row: 6182, expected_value: Males, label: sex} + - {column: E, row: 6182, expected_value: Employee, label: employment type} + - {column: J, row: 6182, expected_value: Value, label: measure} + - {column: L, row: 6183, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6184 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6184, expected_value: E12000005, label: geography} + - {column: D, row: 6184, expected_value: Males, label: sex} + - {column: E, row: 6184, expected_value: Employee, label: employment type} + - {column: J, row: 6184, expected_value: Value, label: measure} + - {column: L, row: 6185, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6186 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6186, expected_value: E12000005, label: geography} + - {column: D, row: 6186, expected_value: Males, label: sex} + - {column: E, row: 6186, expected_value: Employee, label: employment type} + - {column: J, row: 6186, expected_value: Value, label: measure} + - {column: L, row: 6187, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6188 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6188, expected_value: E12000005, label: geography} + - {column: D, row: 6188, expected_value: Males, label: sex} + - {column: E, row: 6188, expected_value: Employee, label: employment type} + - {column: J, row: 6188, expected_value: Value, label: measure} + - {column: L, row: 6189, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6190 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6190, expected_value: E12000005, label: geography} + - {column: D, row: 6190, expected_value: Males, label: sex} + - {column: E, row: 6190, expected_value: Employee, label: employment type} + - {column: J, row: 6190, expected_value: Value, label: measure} + - {column: L, row: 6191, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6192 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6192, expected_value: E12000005, label: geography} + - {column: D, row: 6192, expected_value: Males, label: sex} + - {column: E, row: 6192, expected_value: Employee, label: employment type} + - {column: J, row: 6192, expected_value: Value, label: measure} + - {column: L, row: 6193, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6123 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6123, expected_value: E12000005, label: geography} + - {column: D, row: 6123, expected_value: Males, label: sex} + - {column: E, row: 6123, expected_value: Employee, label: employment type} + - {column: J, row: 6123, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6125 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6125, expected_value: E12000005, label: geography} + - {column: D, row: 6125, expected_value: Males, label: sex} + - {column: E, row: 6125, expected_value: Employee, label: employment type} + - {column: J, row: 6125, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6127 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6127, expected_value: E12000005, label: geography} + - {column: D, row: 6127, expected_value: Males, label: sex} + - {column: E, row: 6127, expected_value: Employee, label: employment type} + - {column: J, row: 6127, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6129 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6129, expected_value: E12000005, label: geography} + - {column: D, row: 6129, expected_value: Males, label: sex} + - {column: E, row: 6129, expected_value: Employee, label: employment type} + - {column: J, row: 6129, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6131 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6131, expected_value: E12000005, label: geography} + - {column: D, row: 6131, expected_value: Males, label: sex} + - {column: E, row: 6131, expected_value: Employee, label: employment type} + - {column: J, row: 6131, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6133 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6133, expected_value: E12000005, label: geography} + - {column: D, row: 6133, expected_value: Males, label: sex} + - {column: E, row: 6133, expected_value: Employee, label: employment type} + - {column: J, row: 6133, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6135 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6135, expected_value: E12000005, label: geography} + - {column: D, row: 6135, expected_value: Males, label: sex} + - {column: E, row: 6135, expected_value: Employee, label: employment type} + - {column: J, row: 6135, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6137 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6137, expected_value: E12000005, label: geography} + - {column: D, row: 6137, expected_value: Males, label: sex} + - {column: E, row: 6137, expected_value: Employee, label: employment type} + - {column: J, row: 6137, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6139 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6139, expected_value: E12000005, label: geography} + - {column: D, row: 6139, expected_value: Males, label: sex} + - {column: E, row: 6139, expected_value: Employee, label: employment type} + - {column: J, row: 6139, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6141 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6141, expected_value: E12000005, label: geography} + - {column: D, row: 6141, expected_value: Males, label: sex} + - {column: E, row: 6141, expected_value: Employee, label: employment type} + - {column: J, row: 6141, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6143 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6143, expected_value: E12000005, label: geography} + - {column: D, row: 6143, expected_value: Males, label: sex} + - {column: E, row: 6143, expected_value: Employee, label: employment type} + - {column: J, row: 6143, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6145 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6145, expected_value: E12000005, label: geography} + - {column: D, row: 6145, expected_value: Males, label: sex} + - {column: E, row: 6145, expected_value: Employee, label: employment type} + - {column: J, row: 6145, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6147 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6147, expected_value: E12000005, label: geography} + - {column: D, row: 6147, expected_value: Males, label: sex} + - {column: E, row: 6147, expected_value: Employee, label: employment type} + - {column: J, row: 6147, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6149 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6149, expected_value: E12000005, label: geography} + - {column: D, row: 6149, expected_value: Males, label: sex} + - {column: E, row: 6149, expected_value: Employee, label: employment type} + - {column: J, row: 6149, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6151 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6151, expected_value: E12000005, label: geography} + - {column: D, row: 6151, expected_value: Males, label: sex} + - {column: E, row: 6151, expected_value: Employee, label: employment type} + - {column: J, row: 6151, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6153 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6153, expected_value: E12000005, label: geography} + - {column: D, row: 6153, expected_value: Males, label: sex} + - {column: E, row: 6153, expected_value: Employee, label: employment type} + - {column: J, row: 6153, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6155 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6155, expected_value: E12000005, label: geography} + - {column: D, row: 6155, expected_value: Males, label: sex} + - {column: E, row: 6155, expected_value: Employee, label: employment type} + - {column: J, row: 6155, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6159 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6159, expected_value: E12000005, label: geography} + - {column: D, row: 6159, expected_value: Males, label: sex} + - {column: E, row: 6159, expected_value: Employee, label: employment type} + - {column: J, row: 6159, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6161 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6161, expected_value: E12000005, label: geography} + - {column: D, row: 6161, expected_value: Males, label: sex} + - {column: E, row: 6161, expected_value: Employee, label: employment type} + - {column: J, row: 6161, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6163 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6163, expected_value: E12000005, label: geography} + - {column: D, row: 6163, expected_value: Males, label: sex} + - {column: E, row: 6163, expected_value: Employee, label: employment type} + - {column: J, row: 6163, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6165 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6165, expected_value: E12000005, label: geography} + - {column: D, row: 6165, expected_value: Males, label: sex} + - {column: E, row: 6165, expected_value: Employee, label: employment type} + - {column: J, row: 6165, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6167 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6167, expected_value: E12000005, label: geography} + - {column: D, row: 6167, expected_value: Males, label: sex} + - {column: E, row: 6167, expected_value: Employee, label: employment type} + - {column: J, row: 6167, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6169 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6169, expected_value: E12000005, label: geography} + - {column: D, row: 6169, expected_value: Males, label: sex} + - {column: E, row: 6169, expected_value: Employee, label: employment type} + - {column: J, row: 6169, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6171 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6171, expected_value: E12000005, label: geography} + - {column: D, row: 6171, expected_value: Males, label: sex} + - {column: E, row: 6171, expected_value: Employee, label: employment type} + - {column: J, row: 6171, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6173 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6173, expected_value: E12000005, label: geography} + - {column: D, row: 6173, expected_value: Males, label: sex} + - {column: E, row: 6173, expected_value: Employee, label: employment type} + - {column: J, row: 6173, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6177 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6177, expected_value: E12000005, label: geography} + - {column: D, row: 6177, expected_value: Males, label: sex} + - {column: E, row: 6177, expected_value: Employee, label: employment type} + - {column: J, row: 6177, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6179 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6179, expected_value: E12000005, label: geography} + - {column: D, row: 6179, expected_value: Males, label: sex} + - {column: E, row: 6179, expected_value: Employee, label: employment type} + - {column: J, row: 6179, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6181 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6181, expected_value: E12000005, label: geography} + - {column: D, row: 6181, expected_value: Males, label: sex} + - {column: E, row: 6181, expected_value: Employee, label: employment type} + - {column: J, row: 6181, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6183 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6183, expected_value: E12000005, label: geography} + - {column: D, row: 6183, expected_value: Males, label: sex} + - {column: E, row: 6183, expected_value: Employee, label: employment type} + - {column: J, row: 6183, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6185 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6185, expected_value: E12000005, label: geography} + - {column: D, row: 6185, expected_value: Males, label: sex} + - {column: E, row: 6185, expected_value: Employee, label: employment type} + - {column: J, row: 6185, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6187 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6187, expected_value: E12000005, label: geography} + - {column: D, row: 6187, expected_value: Males, label: sex} + - {column: E, row: 6187, expected_value: Employee, label: employment type} + - {column: J, row: 6187, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6189 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6189, expected_value: E12000005, label: geography} + - {column: D, row: 6189, expected_value: Males, label: sex} + - {column: E, row: 6189, expected_value: Employee, label: employment type} + - {column: J, row: 6189, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6191 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6191, expected_value: E12000005, label: geography} + - {column: D, row: 6191, expected_value: Males, label: sex} + - {column: E, row: 6191, expected_value: Employee, label: employment type} + - {column: J, row: 6191, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6193 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6193, expected_value: E12000005, label: geography} + - {column: D, row: 6193, expected_value: Males, label: sex} + - {column: E, row: 6193, expected_value: Employee, label: employment type} + - {column: J, row: 6193, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6338 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6338, expected_value: E12000005, label: geography} + - {column: D, row: 6338, expected_value: Males, label: sex} + - {column: E, row: 6338, expected_value: Self-employed, label: employment type} + - {column: J, row: 6338, expected_value: Value, label: measure} + - {column: L, row: 6339, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6340 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6340, expected_value: E12000005, label: geography} + - {column: D, row: 6340, expected_value: Males, label: sex} + - {column: E, row: 6340, expected_value: Self-employed, label: employment type} + - {column: J, row: 6340, expected_value: Value, label: measure} + - {column: L, row: 6341, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6342 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6342, expected_value: E12000005, label: geography} + - {column: D, row: 6342, expected_value: Males, label: sex} + - {column: E, row: 6342, expected_value: Self-employed, label: employment type} + - {column: J, row: 6342, expected_value: Value, label: measure} + - {column: L, row: 6343, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6344 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6344, expected_value: E12000005, label: geography} + - {column: D, row: 6344, expected_value: Males, label: sex} + - {column: E, row: 6344, expected_value: Self-employed, label: employment type} + - {column: J, row: 6344, expected_value: Value, label: measure} + - {column: L, row: 6345, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6346 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6346, expected_value: E12000005, label: geography} + - {column: D, row: 6346, expected_value: Males, label: sex} + - {column: E, row: 6346, expected_value: Self-employed, label: employment type} + - {column: J, row: 6346, expected_value: Value, label: measure} + - {column: L, row: 6347, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6348 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6348, expected_value: E12000005, label: geography} + - {column: D, row: 6348, expected_value: Males, label: sex} + - {column: E, row: 6348, expected_value: Self-employed, label: employment type} + - {column: J, row: 6348, expected_value: Value, label: measure} + - {column: L, row: 6349, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6350 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6350, expected_value: E12000005, label: geography} + - {column: D, row: 6350, expected_value: Males, label: sex} + - {column: E, row: 6350, expected_value: Self-employed, label: employment type} + - {column: J, row: 6350, expected_value: Value, label: measure} + - {column: L, row: 6351, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6352 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6352, expected_value: E12000005, label: geography} + - {column: D, row: 6352, expected_value: Males, label: sex} + - {column: E, row: 6352, expected_value: Self-employed, label: employment type} + - {column: J, row: 6352, expected_value: Value, label: measure} + - {column: L, row: 6353, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6354 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6354, expected_value: E12000005, label: geography} + - {column: D, row: 6354, expected_value: Males, label: sex} + - {column: E, row: 6354, expected_value: Self-employed, label: employment type} + - {column: J, row: 6354, expected_value: Value, label: measure} + - {column: L, row: 6355, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6356 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6356, expected_value: E12000005, label: geography} + - {column: D, row: 6356, expected_value: Males, label: sex} + - {column: E, row: 6356, expected_value: Self-employed, label: employment type} + - {column: J, row: 6356, expected_value: Value, label: measure} + - {column: L, row: 6357, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6358 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6358, expected_value: E12000005, label: geography} + - {column: D, row: 6358, expected_value: Males, label: sex} + - {column: E, row: 6358, expected_value: Self-employed, label: employment type} + - {column: J, row: 6358, expected_value: Value, label: measure} + - {column: L, row: 6359, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6360 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6360, expected_value: E12000005, label: geography} + - {column: D, row: 6360, expected_value: Males, label: sex} + - {column: E, row: 6360, expected_value: Self-employed, label: employment type} + - {column: J, row: 6360, expected_value: Value, label: measure} + - {column: L, row: 6361, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6364 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6364, expected_value: E12000005, label: geography} + - {column: D, row: 6364, expected_value: Males, label: sex} + - {column: E, row: 6364, expected_value: Self-employed, label: employment type} + - {column: J, row: 6364, expected_value: Value, label: measure} + - {column: L, row: 6365, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6366 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6366, expected_value: E12000005, label: geography} + - {column: D, row: 6366, expected_value: Males, label: sex} + - {column: E, row: 6366, expected_value: Self-employed, label: employment type} + - {column: J, row: 6366, expected_value: Value, label: measure} + - {column: L, row: 6367, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6368 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6368, expected_value: E12000005, label: geography} + - {column: D, row: 6368, expected_value: Males, label: sex} + - {column: E, row: 6368, expected_value: Self-employed, label: employment type} + - {column: J, row: 6368, expected_value: Value, label: measure} + - {column: L, row: 6369, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6370 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6370, expected_value: E12000005, label: geography} + - {column: D, row: 6370, expected_value: Males, label: sex} + - {column: E, row: 6370, expected_value: Self-employed, label: employment type} + - {column: J, row: 6370, expected_value: Value, label: measure} + - {column: L, row: 6371, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6374 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6374, expected_value: E12000005, label: geography} + - {column: D, row: 6374, expected_value: Males, label: sex} + - {column: E, row: 6374, expected_value: Self-employed, label: employment type} + - {column: J, row: 6374, expected_value: Value, label: measure} + - {column: L, row: 6375, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6376 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6376, expected_value: E12000005, label: geography} + - {column: D, row: 6376, expected_value: Males, label: sex} + - {column: E, row: 6376, expected_value: Self-employed, label: employment type} + - {column: J, row: 6376, expected_value: Value, label: measure} + - {column: L, row: 6377, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6378 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6378, expected_value: E12000005, label: geography} + - {column: D, row: 6378, expected_value: Males, label: sex} + - {column: E, row: 6378, expected_value: Self-employed, label: employment type} + - {column: J, row: 6378, expected_value: Value, label: measure} + - {column: L, row: 6379, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6380 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6380, expected_value: E12000005, label: geography} + - {column: D, row: 6380, expected_value: Males, label: sex} + - {column: E, row: 6380, expected_value: Self-employed, label: employment type} + - {column: J, row: 6380, expected_value: Value, label: measure} + - {column: L, row: 6381, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6382 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6382, expected_value: E12000005, label: geography} + - {column: D, row: 6382, expected_value: Males, label: sex} + - {column: E, row: 6382, expected_value: Self-employed, label: employment type} + - {column: J, row: 6382, expected_value: Value, label: measure} + - {column: L, row: 6383, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6384 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6384, expected_value: E12000005, label: geography} + - {column: D, row: 6384, expected_value: Males, label: sex} + - {column: E, row: 6384, expected_value: Self-employed, label: employment type} + - {column: J, row: 6384, expected_value: Value, label: measure} + - {column: L, row: 6385, expected_value: G, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6386 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6386, expected_value: E12000005, label: geography} + - {column: D, row: 6386, expected_value: Males, label: sex} + - {column: E, row: 6386, expected_value: Self-employed, label: employment type} + - {column: J, row: 6386, expected_value: Value, label: measure} + - {column: L, row: 6387, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6388 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6388, expected_value: E12000005, label: geography} + - {column: D, row: 6388, expected_value: Males, label: sex} + - {column: E, row: 6388, expected_value: Self-employed, label: employment type} + - {column: J, row: 6388, expected_value: Value, label: measure} + - {column: L, row: 6389, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6392 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6392, expected_value: E12000005, label: geography} + - {column: D, row: 6392, expected_value: Males, label: sex} + - {column: E, row: 6392, expected_value: Self-employed, label: employment type} + - {column: J, row: 6392, expected_value: Value, label: measure} + - {column: L, row: 6393, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6394 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6394, expected_value: E12000005, label: geography} + - {column: D, row: 6394, expected_value: Males, label: sex} + - {column: E, row: 6394, expected_value: Self-employed, label: employment type} + - {column: J, row: 6394, expected_value: Value, label: measure} + - {column: L, row: 6395, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6398 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6398, expected_value: E12000005, label: geography} + - {column: D, row: 6398, expected_value: Males, label: sex} + - {column: E, row: 6398, expected_value: Self-employed, label: employment type} + - {column: J, row: 6398, expected_value: Value, label: measure} + - {column: L, row: 6399, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6400 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6400, expected_value: E12000005, label: geography} + - {column: D, row: 6400, expected_value: Males, label: sex} + - {column: E, row: 6400, expected_value: Self-employed, label: employment type} + - {column: J, row: 6400, expected_value: Value, label: measure} + - {column: L, row: 6401, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6402 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6402, expected_value: E12000005, label: geography} + - {column: D, row: 6402, expected_value: Males, label: sex} + - {column: E, row: 6402, expected_value: Self-employed, label: employment type} + - {column: J, row: 6402, expected_value: Value, label: measure} + - {column: L, row: 6403, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6404 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6404, expected_value: E12000005, label: geography} + - {column: D, row: 6404, expected_value: Males, label: sex} + - {column: E, row: 6404, expected_value: Self-employed, label: employment type} + - {column: J, row: 6404, expected_value: Value, label: measure} + - {column: L, row: 6405, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6406 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6406, expected_value: E12000005, label: geography} + - {column: D, row: 6406, expected_value: Males, label: sex} + - {column: E, row: 6406, expected_value: Self-employed, label: employment type} + - {column: J, row: 6406, expected_value: Value, label: measure} + - {column: L, row: 6407, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6408 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6408, expected_value: E12000005, label: geography} + - {column: D, row: 6408, expected_value: Males, label: sex} + - {column: E, row: 6408, expected_value: Self-employed, label: employment type} + - {column: J, row: 6408, expected_value: Value, label: measure} + - {column: L, row: 6409, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6339 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6339, expected_value: E12000005, label: geography} + - {column: D, row: 6339, expected_value: Males, label: sex} + - {column: E, row: 6339, expected_value: Self-employed, label: employment type} + - {column: J, row: 6339, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6341 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6341, expected_value: E12000005, label: geography} + - {column: D, row: 6341, expected_value: Males, label: sex} + - {column: E, row: 6341, expected_value: Self-employed, label: employment type} + - {column: J, row: 6341, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6343 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6343, expected_value: E12000005, label: geography} + - {column: D, row: 6343, expected_value: Males, label: sex} + - {column: E, row: 6343, expected_value: Self-employed, label: employment type} + - {column: J, row: 6343, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6345 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6345, expected_value: E12000005, label: geography} + - {column: D, row: 6345, expected_value: Males, label: sex} + - {column: E, row: 6345, expected_value: Self-employed, label: employment type} + - {column: J, row: 6345, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6347 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6347, expected_value: E12000005, label: geography} + - {column: D, row: 6347, expected_value: Males, label: sex} + - {column: E, row: 6347, expected_value: Self-employed, label: employment type} + - {column: J, row: 6347, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6349 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6349, expected_value: E12000005, label: geography} + - {column: D, row: 6349, expected_value: Males, label: sex} + - {column: E, row: 6349, expected_value: Self-employed, label: employment type} + - {column: J, row: 6349, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6351 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6351, expected_value: E12000005, label: geography} + - {column: D, row: 6351, expected_value: Males, label: sex} + - {column: E, row: 6351, expected_value: Self-employed, label: employment type} + - {column: J, row: 6351, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6355 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6355, expected_value: E12000005, label: geography} + - {column: D, row: 6355, expected_value: Males, label: sex} + - {column: E, row: 6355, expected_value: Self-employed, label: employment type} + - {column: J, row: 6355, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6357 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6357, expected_value: E12000005, label: geography} + - {column: D, row: 6357, expected_value: Males, label: sex} + - {column: E, row: 6357, expected_value: Self-employed, label: employment type} + - {column: J, row: 6357, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6365 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6365, expected_value: E12000005, label: geography} + - {column: D, row: 6365, expected_value: Males, label: sex} + - {column: E, row: 6365, expected_value: Self-employed, label: employment type} + - {column: J, row: 6365, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6367 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6367, expected_value: E12000005, label: geography} + - {column: D, row: 6367, expected_value: Males, label: sex} + - {column: E, row: 6367, expected_value: Self-employed, label: employment type} + - {column: J, row: 6367, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6375 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6375, expected_value: E12000005, label: geography} + - {column: D, row: 6375, expected_value: Males, label: sex} + - {column: E, row: 6375, expected_value: Self-employed, label: employment type} + - {column: J, row: 6375, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6377 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6377, expected_value: E12000005, label: geography} + - {column: D, row: 6377, expected_value: Males, label: sex} + - {column: E, row: 6377, expected_value: Self-employed, label: employment type} + - {column: J, row: 6377, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6379 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6379, expected_value: E12000005, label: geography} + - {column: D, row: 6379, expected_value: Males, label: sex} + - {column: E, row: 6379, expected_value: Self-employed, label: employment type} + - {column: J, row: 6379, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6381 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6381, expected_value: E12000005, label: geography} + - {column: D, row: 6381, expected_value: Males, label: sex} + - {column: E, row: 6381, expected_value: Self-employed, label: employment type} + - {column: J, row: 6381, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6393 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6393, expected_value: E12000005, label: geography} + - {column: D, row: 6393, expected_value: Males, label: sex} + - {column: E, row: 6393, expected_value: Self-employed, label: employment type} + - {column: J, row: 6393, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6395 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6395, expected_value: E12000005, label: geography} + - {column: D, row: 6395, expected_value: Males, label: sex} + - {column: E, row: 6395, expected_value: Self-employed, label: employment type} + - {column: J, row: 6395, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6399 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6399, expected_value: E12000005, label: geography} + - {column: D, row: 6399, expected_value: Males, label: sex} + - {column: E, row: 6399, expected_value: Self-employed, label: employment type} + - {column: J, row: 6399, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6403 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6403, expected_value: E12000005, label: geography} + - {column: D, row: 6403, expected_value: Males, label: sex} + - {column: E, row: 6403, expected_value: Self-employed, label: employment type} + - {column: J, row: 6403, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6405 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6405, expected_value: E12000005, label: geography} + - {column: D, row: 6405, expected_value: Males, label: sex} + - {column: E, row: 6405, expected_value: Self-employed, label: employment type} + - {column: J, row: 6405, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6407 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6407, expected_value: E12000005, label: geography} + - {column: D, row: 6407, expected_value: Males, label: sex} + - {column: E, row: 6407, expected_value: Self-employed, label: employment type} + - {column: J, row: 6407, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5978 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5978, expected_value: E12000005, label: geography} + - {column: D, row: 5978, expected_value: Females, label: sex} + - {column: E, row: 5978, expected_value: Total, label: employment type} + - {column: J, row: 5978, expected_value: Value, label: measure} + - {column: L, row: 5979, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5980 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5980, expected_value: E12000005, label: geography} + - {column: D, row: 5980, expected_value: Females, label: sex} + - {column: E, row: 5980, expected_value: Total, label: employment type} + - {column: J, row: 5980, expected_value: Value, label: measure} + - {column: L, row: 5981, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5982 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5982, expected_value: E12000005, label: geography} + - {column: D, row: 5982, expected_value: Females, label: sex} + - {column: E, row: 5982, expected_value: Total, label: employment type} + - {column: J, row: 5982, expected_value: Value, label: measure} + - {column: L, row: 5983, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5984 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5984, expected_value: E12000005, label: geography} + - {column: D, row: 5984, expected_value: Females, label: sex} + - {column: E, row: 5984, expected_value: Total, label: employment type} + - {column: J, row: 5984, expected_value: Value, label: measure} + - {column: L, row: 5985, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5986 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5986, expected_value: E12000005, label: geography} + - {column: D, row: 5986, expected_value: Females, label: sex} + - {column: E, row: 5986, expected_value: Total, label: employment type} + - {column: J, row: 5986, expected_value: Value, label: measure} + - {column: L, row: 5987, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5988 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5988, expected_value: E12000005, label: geography} + - {column: D, row: 5988, expected_value: Females, label: sex} + - {column: E, row: 5988, expected_value: Total, label: employment type} + - {column: J, row: 5988, expected_value: Value, label: measure} + - {column: L, row: 5989, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5990 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5990, expected_value: E12000005, label: geography} + - {column: D, row: 5990, expected_value: Females, label: sex} + - {column: E, row: 5990, expected_value: Total, label: employment type} + - {column: J, row: 5990, expected_value: Value, label: measure} + - {column: L, row: 5991, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5992 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5992, expected_value: E12000005, label: geography} + - {column: D, row: 5992, expected_value: Females, label: sex} + - {column: E, row: 5992, expected_value: Total, label: employment type} + - {column: J, row: 5992, expected_value: Value, label: measure} + - {column: L, row: 5993, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5994 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5994, expected_value: E12000005, label: geography} + - {column: D, row: 5994, expected_value: Females, label: sex} + - {column: E, row: 5994, expected_value: Total, label: employment type} + - {column: J, row: 5994, expected_value: Value, label: measure} + - {column: L, row: 5995, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5996 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5996, expected_value: E12000005, label: geography} + - {column: D, row: 5996, expected_value: Females, label: sex} + - {column: E, row: 5996, expected_value: Total, label: employment type} + - {column: J, row: 5996, expected_value: Value, label: measure} + - {column: L, row: 5997, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5998 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5998, expected_value: E12000005, label: geography} + - {column: D, row: 5998, expected_value: Females, label: sex} + - {column: E, row: 5998, expected_value: Total, label: employment type} + - {column: J, row: 5998, expected_value: Value, label: measure} + - {column: L, row: 5999, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6000 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6000, expected_value: E12000005, label: geography} + - {column: D, row: 6000, expected_value: Females, label: sex} + - {column: E, row: 6000, expected_value: Total, label: employment type} + - {column: J, row: 6000, expected_value: Value, label: measure} + - {column: L, row: 6001, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6002 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6002, expected_value: E12000005, label: geography} + - {column: D, row: 6002, expected_value: Females, label: sex} + - {column: E, row: 6002, expected_value: Total, label: employment type} + - {column: J, row: 6002, expected_value: Value, label: measure} + - {column: L, row: 6003, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6004 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6004, expected_value: E12000005, label: geography} + - {column: D, row: 6004, expected_value: Females, label: sex} + - {column: E, row: 6004, expected_value: Total, label: employment type} + - {column: J, row: 6004, expected_value: Value, label: measure} + - {column: L, row: 6005, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6006 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6006, expected_value: E12000005, label: geography} + - {column: D, row: 6006, expected_value: Females, label: sex} + - {column: E, row: 6006, expected_value: Total, label: employment type} + - {column: J, row: 6006, expected_value: Value, label: measure} + - {column: L, row: 6007, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6008 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6008, expected_value: E12000005, label: geography} + - {column: D, row: 6008, expected_value: Females, label: sex} + - {column: E, row: 6008, expected_value: Total, label: employment type} + - {column: J, row: 6008, expected_value: Value, label: measure} + - {column: L, row: 6009, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6010 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6010, expected_value: E12000005, label: geography} + - {column: D, row: 6010, expected_value: Females, label: sex} + - {column: E, row: 6010, expected_value: Total, label: employment type} + - {column: J, row: 6010, expected_value: Value, label: measure} + - {column: L, row: 6011, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6012 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6012, expected_value: E12000005, label: geography} + - {column: D, row: 6012, expected_value: Females, label: sex} + - {column: E, row: 6012, expected_value: Total, label: employment type} + - {column: J, row: 6012, expected_value: Value, label: measure} + - {column: L, row: 6013, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6014 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6014, expected_value: E12000005, label: geography} + - {column: D, row: 6014, expected_value: Females, label: sex} + - {column: E, row: 6014, expected_value: Total, label: employment type} + - {column: J, row: 6014, expected_value: Value, label: measure} + - {column: L, row: 6015, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6016 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6016, expected_value: E12000005, label: geography} + - {column: D, row: 6016, expected_value: Females, label: sex} + - {column: E, row: 6016, expected_value: Total, label: employment type} + - {column: J, row: 6016, expected_value: Value, label: measure} + - {column: L, row: 6017, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6018 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6018, expected_value: E12000005, label: geography} + - {column: D, row: 6018, expected_value: Females, label: sex} + - {column: E, row: 6018, expected_value: Total, label: employment type} + - {column: J, row: 6018, expected_value: Value, label: measure} + - {column: L, row: 6019, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6020 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6020, expected_value: E12000005, label: geography} + - {column: D, row: 6020, expected_value: Females, label: sex} + - {column: E, row: 6020, expected_value: Total, label: employment type} + - {column: J, row: 6020, expected_value: Value, label: measure} + - {column: L, row: 6021, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6022 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6022, expected_value: E12000005, label: geography} + - {column: D, row: 6022, expected_value: Females, label: sex} + - {column: E, row: 6022, expected_value: Total, label: employment type} + - {column: J, row: 6022, expected_value: Value, label: measure} + - {column: L, row: 6023, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6024 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6024, expected_value: E12000005, label: geography} + - {column: D, row: 6024, expected_value: Females, label: sex} + - {column: E, row: 6024, expected_value: Total, label: employment type} + - {column: J, row: 6024, expected_value: Value, label: measure} + - {column: L, row: 6025, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6026 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6026, expected_value: E12000005, label: geography} + - {column: D, row: 6026, expected_value: Females, label: sex} + - {column: E, row: 6026, expected_value: Total, label: employment type} + - {column: J, row: 6026, expected_value: Value, label: measure} + - {column: L, row: 6027, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6028 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6028, expected_value: E12000005, label: geography} + - {column: D, row: 6028, expected_value: Females, label: sex} + - {column: E, row: 6028, expected_value: Total, label: employment type} + - {column: J, row: 6028, expected_value: Value, label: measure} + - {column: L, row: 6029, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6030 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6030, expected_value: E12000005, label: geography} + - {column: D, row: 6030, expected_value: Females, label: sex} + - {column: E, row: 6030, expected_value: Total, label: employment type} + - {column: J, row: 6030, expected_value: Value, label: measure} + - {column: L, row: 6031, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6032 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6032, expected_value: E12000005, label: geography} + - {column: D, row: 6032, expected_value: Females, label: sex} + - {column: E, row: 6032, expected_value: Total, label: employment type} + - {column: J, row: 6032, expected_value: Value, label: measure} + - {column: L, row: 6033, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6034 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6034, expected_value: E12000005, label: geography} + - {column: D, row: 6034, expected_value: Females, label: sex} + - {column: E, row: 6034, expected_value: Total, label: employment type} + - {column: J, row: 6034, expected_value: Value, label: measure} + - {column: L, row: 6035, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6036 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6036, expected_value: E12000005, label: geography} + - {column: D, row: 6036, expected_value: Females, label: sex} + - {column: E, row: 6036, expected_value: Total, label: employment type} + - {column: J, row: 6036, expected_value: Value, label: measure} + - {column: L, row: 6037, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6038 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6038, expected_value: E12000005, label: geography} + - {column: D, row: 6038, expected_value: Females, label: sex} + - {column: E, row: 6038, expected_value: Total, label: employment type} + - {column: J, row: 6038, expected_value: Value, label: measure} + - {column: L, row: 6039, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6040 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6040, expected_value: E12000005, label: geography} + - {column: D, row: 6040, expected_value: Females, label: sex} + - {column: E, row: 6040, expected_value: Total, label: employment type} + - {column: J, row: 6040, expected_value: Value, label: measure} + - {column: L, row: 6041, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6042 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6042, expected_value: E12000005, label: geography} + - {column: D, row: 6042, expected_value: Females, label: sex} + - {column: E, row: 6042, expected_value: Total, label: employment type} + - {column: J, row: 6042, expected_value: Value, label: measure} + - {column: L, row: 6043, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6044 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6044, expected_value: E12000005, label: geography} + - {column: D, row: 6044, expected_value: Females, label: sex} + - {column: E, row: 6044, expected_value: Total, label: employment type} + - {column: J, row: 6044, expected_value: Value, label: measure} + - {column: L, row: 6045, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6046 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6046, expected_value: E12000005, label: geography} + - {column: D, row: 6046, expected_value: Females, label: sex} + - {column: E, row: 6046, expected_value: Total, label: employment type} + - {column: J, row: 6046, expected_value: Value, label: measure} + - {column: L, row: 6047, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6048 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6048, expected_value: E12000005, label: geography} + - {column: D, row: 6048, expected_value: Females, label: sex} + - {column: E, row: 6048, expected_value: Total, label: employment type} + - {column: J, row: 6048, expected_value: Value, label: measure} + - {column: L, row: 6049, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 5979 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 5979, expected_value: E12000005, label: geography} + - {column: D, row: 5979, expected_value: Females, label: sex} + - {column: E, row: 5979, expected_value: Total, label: employment type} + - {column: J, row: 5979, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 5981 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 5981, expected_value: E12000005, label: geography} + - {column: D, row: 5981, expected_value: Females, label: sex} + - {column: E, row: 5981, expected_value: Total, label: employment type} + - {column: J, row: 5981, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 5983 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 5983, expected_value: E12000005, label: geography} + - {column: D, row: 5983, expected_value: Females, label: sex} + - {column: E, row: 5983, expected_value: Total, label: employment type} + - {column: J, row: 5983, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 5985 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 5985, expected_value: E12000005, label: geography} + - {column: D, row: 5985, expected_value: Females, label: sex} + - {column: E, row: 5985, expected_value: Total, label: employment type} + - {column: J, row: 5985, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 5987 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 5987, expected_value: E12000005, label: geography} + - {column: D, row: 5987, expected_value: Females, label: sex} + - {column: E, row: 5987, expected_value: Total, label: employment type} + - {column: J, row: 5987, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 5989 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 5989, expected_value: E12000005, label: geography} + - {column: D, row: 5989, expected_value: Females, label: sex} + - {column: E, row: 5989, expected_value: Total, label: employment type} + - {column: J, row: 5989, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 5991 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 5991, expected_value: E12000005, label: geography} + - {column: D, row: 5991, expected_value: Females, label: sex} + - {column: E, row: 5991, expected_value: Total, label: employment type} + - {column: J, row: 5991, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 5993 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 5993, expected_value: E12000005, label: geography} + - {column: D, row: 5993, expected_value: Females, label: sex} + - {column: E, row: 5993, expected_value: Total, label: employment type} + - {column: J, row: 5993, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 5995 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 5995, expected_value: E12000005, label: geography} + - {column: D, row: 5995, expected_value: Females, label: sex} + - {column: E, row: 5995, expected_value: Total, label: employment type} + - {column: J, row: 5995, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 5997 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 5997, expected_value: E12000005, label: geography} + - {column: D, row: 5997, expected_value: Females, label: sex} + - {column: E, row: 5997, expected_value: Total, label: employment type} + - {column: J, row: 5997, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 5999 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 5999, expected_value: E12000005, label: geography} + - {column: D, row: 5999, expected_value: Females, label: sex} + - {column: E, row: 5999, expected_value: Total, label: employment type} + - {column: J, row: 5999, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6001 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6001, expected_value: E12000005, label: geography} + - {column: D, row: 6001, expected_value: Females, label: sex} + - {column: E, row: 6001, expected_value: Total, label: employment type} + - {column: J, row: 6001, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6003 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6003, expected_value: E12000005, label: geography} + - {column: D, row: 6003, expected_value: Females, label: sex} + - {column: E, row: 6003, expected_value: Total, label: employment type} + - {column: J, row: 6003, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6005 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6005, expected_value: E12000005, label: geography} + - {column: D, row: 6005, expected_value: Females, label: sex} + - {column: E, row: 6005, expected_value: Total, label: employment type} + - {column: J, row: 6005, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6007 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6007, expected_value: E12000005, label: geography} + - {column: D, row: 6007, expected_value: Females, label: sex} + - {column: E, row: 6007, expected_value: Total, label: employment type} + - {column: J, row: 6007, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6009 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6009, expected_value: E12000005, label: geography} + - {column: D, row: 6009, expected_value: Females, label: sex} + - {column: E, row: 6009, expected_value: Total, label: employment type} + - {column: J, row: 6009, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6011 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6011, expected_value: E12000005, label: geography} + - {column: D, row: 6011, expected_value: Females, label: sex} + - {column: E, row: 6011, expected_value: Total, label: employment type} + - {column: J, row: 6011, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6013 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6013, expected_value: E12000005, label: geography} + - {column: D, row: 6013, expected_value: Females, label: sex} + - {column: E, row: 6013, expected_value: Total, label: employment type} + - {column: J, row: 6013, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6015 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6015, expected_value: E12000005, label: geography} + - {column: D, row: 6015, expected_value: Females, label: sex} + - {column: E, row: 6015, expected_value: Total, label: employment type} + - {column: J, row: 6015, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6017 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6017, expected_value: E12000005, label: geography} + - {column: D, row: 6017, expected_value: Females, label: sex} + - {column: E, row: 6017, expected_value: Total, label: employment type} + - {column: J, row: 6017, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6023 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6023, expected_value: E12000005, label: geography} + - {column: D, row: 6023, expected_value: Females, label: sex} + - {column: E, row: 6023, expected_value: Total, label: employment type} + - {column: J, row: 6023, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6025 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6025, expected_value: E12000005, label: geography} + - {column: D, row: 6025, expected_value: Females, label: sex} + - {column: E, row: 6025, expected_value: Total, label: employment type} + - {column: J, row: 6025, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6027 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6027, expected_value: E12000005, label: geography} + - {column: D, row: 6027, expected_value: Females, label: sex} + - {column: E, row: 6027, expected_value: Total, label: employment type} + - {column: J, row: 6027, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6029 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6029, expected_value: E12000005, label: geography} + - {column: D, row: 6029, expected_value: Females, label: sex} + - {column: E, row: 6029, expected_value: Total, label: employment type} + - {column: J, row: 6029, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6033 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6033, expected_value: E12000005, label: geography} + - {column: D, row: 6033, expected_value: Females, label: sex} + - {column: E, row: 6033, expected_value: Total, label: employment type} + - {column: J, row: 6033, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6035 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6035, expected_value: E12000005, label: geography} + - {column: D, row: 6035, expected_value: Females, label: sex} + - {column: E, row: 6035, expected_value: Total, label: employment type} + - {column: J, row: 6035, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6037 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6037, expected_value: E12000005, label: geography} + - {column: D, row: 6037, expected_value: Females, label: sex} + - {column: E, row: 6037, expected_value: Total, label: employment type} + - {column: J, row: 6037, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6039 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6039, expected_value: E12000005, label: geography} + - {column: D, row: 6039, expected_value: Females, label: sex} + - {column: E, row: 6039, expected_value: Total, label: employment type} + - {column: J, row: 6039, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6041 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6041, expected_value: E12000005, label: geography} + - {column: D, row: 6041, expected_value: Females, label: sex} + - {column: E, row: 6041, expected_value: Total, label: employment type} + - {column: J, row: 6041, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6043 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6043, expected_value: E12000005, label: geography} + - {column: D, row: 6043, expected_value: Females, label: sex} + - {column: E, row: 6043, expected_value: Total, label: employment type} + - {column: J, row: 6043, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6045 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6045, expected_value: E12000005, label: geography} + - {column: D, row: 6045, expected_value: Females, label: sex} + - {column: E, row: 6045, expected_value: Total, label: employment type} + - {column: J, row: 6045, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6047 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6047, expected_value: E12000005, label: geography} + - {column: D, row: 6047, expected_value: Females, label: sex} + - {column: E, row: 6047, expected_value: Total, label: employment type} + - {column: J, row: 6047, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6049 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6049, expected_value: E12000005, label: geography} + - {column: D, row: 6049, expected_value: Females, label: sex} + - {column: E, row: 6049, expected_value: Total, label: employment type} + - {column: J, row: 6049, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6194 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6194, expected_value: E12000005, label: geography} + - {column: D, row: 6194, expected_value: Females, label: sex} + - {column: E, row: 6194, expected_value: Employee, label: employment type} + - {column: J, row: 6194, expected_value: Value, label: measure} + - {column: L, row: 6195, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6196 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6196, expected_value: E12000005, label: geography} + - {column: D, row: 6196, expected_value: Females, label: sex} + - {column: E, row: 6196, expected_value: Employee, label: employment type} + - {column: J, row: 6196, expected_value: Value, label: measure} + - {column: L, row: 6197, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6198 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6198, expected_value: E12000005, label: geography} + - {column: D, row: 6198, expected_value: Females, label: sex} + - {column: E, row: 6198, expected_value: Employee, label: employment type} + - {column: J, row: 6198, expected_value: Value, label: measure} + - {column: L, row: 6199, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6200 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6200, expected_value: E12000005, label: geography} + - {column: D, row: 6200, expected_value: Females, label: sex} + - {column: E, row: 6200, expected_value: Employee, label: employment type} + - {column: J, row: 6200, expected_value: Value, label: measure} + - {column: L, row: 6201, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6202 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6202, expected_value: E12000005, label: geography} + - {column: D, row: 6202, expected_value: Females, label: sex} + - {column: E, row: 6202, expected_value: Employee, label: employment type} + - {column: J, row: 6202, expected_value: Value, label: measure} + - {column: L, row: 6203, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6204 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6204, expected_value: E12000005, label: geography} + - {column: D, row: 6204, expected_value: Females, label: sex} + - {column: E, row: 6204, expected_value: Employee, label: employment type} + - {column: J, row: 6204, expected_value: Value, label: measure} + - {column: L, row: 6205, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6206 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6206, expected_value: E12000005, label: geography} + - {column: D, row: 6206, expected_value: Females, label: sex} + - {column: E, row: 6206, expected_value: Employee, label: employment type} + - {column: J, row: 6206, expected_value: Value, label: measure} + - {column: L, row: 6207, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6208 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6208, expected_value: E12000005, label: geography} + - {column: D, row: 6208, expected_value: Females, label: sex} + - {column: E, row: 6208, expected_value: Employee, label: employment type} + - {column: J, row: 6208, expected_value: Value, label: measure} + - {column: L, row: 6209, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6210 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6210, expected_value: E12000005, label: geography} + - {column: D, row: 6210, expected_value: Females, label: sex} + - {column: E, row: 6210, expected_value: Employee, label: employment type} + - {column: J, row: 6210, expected_value: Value, label: measure} + - {column: L, row: 6211, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6212 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6212, expected_value: E12000005, label: geography} + - {column: D, row: 6212, expected_value: Females, label: sex} + - {column: E, row: 6212, expected_value: Employee, label: employment type} + - {column: J, row: 6212, expected_value: Value, label: measure} + - {column: L, row: 6213, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6214 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6214, expected_value: E12000005, label: geography} + - {column: D, row: 6214, expected_value: Females, label: sex} + - {column: E, row: 6214, expected_value: Employee, label: employment type} + - {column: J, row: 6214, expected_value: Value, label: measure} + - {column: L, row: 6215, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6216 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6216, expected_value: E12000005, label: geography} + - {column: D, row: 6216, expected_value: Females, label: sex} + - {column: E, row: 6216, expected_value: Employee, label: employment type} + - {column: J, row: 6216, expected_value: Value, label: measure} + - {column: L, row: 6217, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6218 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6218, expected_value: E12000005, label: geography} + - {column: D, row: 6218, expected_value: Females, label: sex} + - {column: E, row: 6218, expected_value: Employee, label: employment type} + - {column: J, row: 6218, expected_value: Value, label: measure} + - {column: L, row: 6219, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6220 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6220, expected_value: E12000005, label: geography} + - {column: D, row: 6220, expected_value: Females, label: sex} + - {column: E, row: 6220, expected_value: Employee, label: employment type} + - {column: J, row: 6220, expected_value: Value, label: measure} + - {column: L, row: 6221, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6222 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6222, expected_value: E12000005, label: geography} + - {column: D, row: 6222, expected_value: Females, label: sex} + - {column: E, row: 6222, expected_value: Employee, label: employment type} + - {column: J, row: 6222, expected_value: Value, label: measure} + - {column: L, row: 6223, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6224 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6224, expected_value: E12000005, label: geography} + - {column: D, row: 6224, expected_value: Females, label: sex} + - {column: E, row: 6224, expected_value: Employee, label: employment type} + - {column: J, row: 6224, expected_value: Value, label: measure} + - {column: L, row: 6225, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6226 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6226, expected_value: E12000005, label: geography} + - {column: D, row: 6226, expected_value: Females, label: sex} + - {column: E, row: 6226, expected_value: Employee, label: employment type} + - {column: J, row: 6226, expected_value: Value, label: measure} + - {column: L, row: 6227, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6228 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6228, expected_value: E12000005, label: geography} + - {column: D, row: 6228, expected_value: Females, label: sex} + - {column: E, row: 6228, expected_value: Employee, label: employment type} + - {column: J, row: 6228, expected_value: Value, label: measure} + - {column: L, row: 6229, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6230 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6230, expected_value: E12000005, label: geography} + - {column: D, row: 6230, expected_value: Females, label: sex} + - {column: E, row: 6230, expected_value: Employee, label: employment type} + - {column: J, row: 6230, expected_value: Value, label: measure} + - {column: L, row: 6231, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6232 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6232, expected_value: E12000005, label: geography} + - {column: D, row: 6232, expected_value: Females, label: sex} + - {column: E, row: 6232, expected_value: Employee, label: employment type} + - {column: J, row: 6232, expected_value: Value, label: measure} + - {column: L, row: 6233, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6234 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6234, expected_value: E12000005, label: geography} + - {column: D, row: 6234, expected_value: Females, label: sex} + - {column: E, row: 6234, expected_value: Employee, label: employment type} + - {column: J, row: 6234, expected_value: Value, label: measure} + - {column: L, row: 6235, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6236 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6236, expected_value: E12000005, label: geography} + - {column: D, row: 6236, expected_value: Females, label: sex} + - {column: E, row: 6236, expected_value: Employee, label: employment type} + - {column: J, row: 6236, expected_value: Value, label: measure} + - {column: L, row: 6237, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6238 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6238, expected_value: E12000005, label: geography} + - {column: D, row: 6238, expected_value: Females, label: sex} + - {column: E, row: 6238, expected_value: Employee, label: employment type} + - {column: J, row: 6238, expected_value: Value, label: measure} + - {column: L, row: 6239, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6240 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6240, expected_value: E12000005, label: geography} + - {column: D, row: 6240, expected_value: Females, label: sex} + - {column: E, row: 6240, expected_value: Employee, label: employment type} + - {column: J, row: 6240, expected_value: Value, label: measure} + - {column: L, row: 6241, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6242 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6242, expected_value: E12000005, label: geography} + - {column: D, row: 6242, expected_value: Females, label: sex} + - {column: E, row: 6242, expected_value: Employee, label: employment type} + - {column: J, row: 6242, expected_value: Value, label: measure} + - {column: L, row: 6243, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6244 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6244, expected_value: E12000005, label: geography} + - {column: D, row: 6244, expected_value: Females, label: sex} + - {column: E, row: 6244, expected_value: Employee, label: employment type} + - {column: J, row: 6244, expected_value: Value, label: measure} + - {column: L, row: 6245, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6246 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6246, expected_value: E12000005, label: geography} + - {column: D, row: 6246, expected_value: Females, label: sex} + - {column: E, row: 6246, expected_value: Employee, label: employment type} + - {column: J, row: 6246, expected_value: Value, label: measure} + - {column: L, row: 6247, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6248 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6248, expected_value: E12000005, label: geography} + - {column: D, row: 6248, expected_value: Females, label: sex} + - {column: E, row: 6248, expected_value: Employee, label: employment type} + - {column: J, row: 6248, expected_value: Value, label: measure} + - {column: L, row: 6249, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6250 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6250, expected_value: E12000005, label: geography} + - {column: D, row: 6250, expected_value: Females, label: sex} + - {column: E, row: 6250, expected_value: Employee, label: employment type} + - {column: J, row: 6250, expected_value: Value, label: measure} + - {column: L, row: 6251, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6252 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6252, expected_value: E12000005, label: geography} + - {column: D, row: 6252, expected_value: Females, label: sex} + - {column: E, row: 6252, expected_value: Employee, label: employment type} + - {column: J, row: 6252, expected_value: Value, label: measure} + - {column: L, row: 6253, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6254 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6254, expected_value: E12000005, label: geography} + - {column: D, row: 6254, expected_value: Females, label: sex} + - {column: E, row: 6254, expected_value: Employee, label: employment type} + - {column: J, row: 6254, expected_value: Value, label: measure} + - {column: L, row: 6255, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6256 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6256, expected_value: E12000005, label: geography} + - {column: D, row: 6256, expected_value: Females, label: sex} + - {column: E, row: 6256, expected_value: Employee, label: employment type} + - {column: J, row: 6256, expected_value: Value, label: measure} + - {column: L, row: 6257, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6258 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6258, expected_value: E12000005, label: geography} + - {column: D, row: 6258, expected_value: Females, label: sex} + - {column: E, row: 6258, expected_value: Employee, label: employment type} + - {column: J, row: 6258, expected_value: Value, label: measure} + - {column: L, row: 6259, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6260 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6260, expected_value: E12000005, label: geography} + - {column: D, row: 6260, expected_value: Females, label: sex} + - {column: E, row: 6260, expected_value: Employee, label: employment type} + - {column: J, row: 6260, expected_value: Value, label: measure} + - {column: L, row: 6261, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6262 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6262, expected_value: E12000005, label: geography} + - {column: D, row: 6262, expected_value: Females, label: sex} + - {column: E, row: 6262, expected_value: Employee, label: employment type} + - {column: J, row: 6262, expected_value: Value, label: measure} + - {column: L, row: 6263, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6264 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6264, expected_value: E12000005, label: geography} + - {column: D, row: 6264, expected_value: Females, label: sex} + - {column: E, row: 6264, expected_value: Employee, label: employment type} + - {column: J, row: 6264, expected_value: Value, label: measure} + - {column: L, row: 6265, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6195 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6195, expected_value: E12000005, label: geography} + - {column: D, row: 6195, expected_value: Females, label: sex} + - {column: E, row: 6195, expected_value: Employee, label: employment type} + - {column: J, row: 6195, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6197 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6197, expected_value: E12000005, label: geography} + - {column: D, row: 6197, expected_value: Females, label: sex} + - {column: E, row: 6197, expected_value: Employee, label: employment type} + - {column: J, row: 6197, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6199 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6199, expected_value: E12000005, label: geography} + - {column: D, row: 6199, expected_value: Females, label: sex} + - {column: E, row: 6199, expected_value: Employee, label: employment type} + - {column: J, row: 6199, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6201 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6201, expected_value: E12000005, label: geography} + - {column: D, row: 6201, expected_value: Females, label: sex} + - {column: E, row: 6201, expected_value: Employee, label: employment type} + - {column: J, row: 6201, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6203 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6203, expected_value: E12000005, label: geography} + - {column: D, row: 6203, expected_value: Females, label: sex} + - {column: E, row: 6203, expected_value: Employee, label: employment type} + - {column: J, row: 6203, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6205 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6205, expected_value: E12000005, label: geography} + - {column: D, row: 6205, expected_value: Females, label: sex} + - {column: E, row: 6205, expected_value: Employee, label: employment type} + - {column: J, row: 6205, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6207 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6207, expected_value: E12000005, label: geography} + - {column: D, row: 6207, expected_value: Females, label: sex} + - {column: E, row: 6207, expected_value: Employee, label: employment type} + - {column: J, row: 6207, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6209 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6209, expected_value: E12000005, label: geography} + - {column: D, row: 6209, expected_value: Females, label: sex} + - {column: E, row: 6209, expected_value: Employee, label: employment type} + - {column: J, row: 6209, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6211 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6211, expected_value: E12000005, label: geography} + - {column: D, row: 6211, expected_value: Females, label: sex} + - {column: E, row: 6211, expected_value: Employee, label: employment type} + - {column: J, row: 6211, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6213 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6213, expected_value: E12000005, label: geography} + - {column: D, row: 6213, expected_value: Females, label: sex} + - {column: E, row: 6213, expected_value: Employee, label: employment type} + - {column: J, row: 6213, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6215 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6215, expected_value: E12000005, label: geography} + - {column: D, row: 6215, expected_value: Females, label: sex} + - {column: E, row: 6215, expected_value: Employee, label: employment type} + - {column: J, row: 6215, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6217 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6217, expected_value: E12000005, label: geography} + - {column: D, row: 6217, expected_value: Females, label: sex} + - {column: E, row: 6217, expected_value: Employee, label: employment type} + - {column: J, row: 6217, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6219 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6219, expected_value: E12000005, label: geography} + - {column: D, row: 6219, expected_value: Females, label: sex} + - {column: E, row: 6219, expected_value: Employee, label: employment type} + - {column: J, row: 6219, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6221 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6221, expected_value: E12000005, label: geography} + - {column: D, row: 6221, expected_value: Females, label: sex} + - {column: E, row: 6221, expected_value: Employee, label: employment type} + - {column: J, row: 6221, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6223 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6223, expected_value: E12000005, label: geography} + - {column: D, row: 6223, expected_value: Females, label: sex} + - {column: E, row: 6223, expected_value: Employee, label: employment type} + - {column: J, row: 6223, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6225 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6225, expected_value: E12000005, label: geography} + - {column: D, row: 6225, expected_value: Females, label: sex} + - {column: E, row: 6225, expected_value: Employee, label: employment type} + - {column: J, row: 6225, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6227 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6227, expected_value: E12000005, label: geography} + - {column: D, row: 6227, expected_value: Females, label: sex} + - {column: E, row: 6227, expected_value: Employee, label: employment type} + - {column: J, row: 6227, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6229 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6229, expected_value: E12000005, label: geography} + - {column: D, row: 6229, expected_value: Females, label: sex} + - {column: E, row: 6229, expected_value: Employee, label: employment type} + - {column: J, row: 6229, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6231 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6231, expected_value: E12000005, label: geography} + - {column: D, row: 6231, expected_value: Females, label: sex} + - {column: E, row: 6231, expected_value: Employee, label: employment type} + - {column: J, row: 6231, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6239 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6239, expected_value: E12000005, label: geography} + - {column: D, row: 6239, expected_value: Females, label: sex} + - {column: E, row: 6239, expected_value: Employee, label: employment type} + - {column: J, row: 6239, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6241 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6241, expected_value: E12000005, label: geography} + - {column: D, row: 6241, expected_value: Females, label: sex} + - {column: E, row: 6241, expected_value: Employee, label: employment type} + - {column: J, row: 6241, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6243 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6243, expected_value: E12000005, label: geography} + - {column: D, row: 6243, expected_value: Females, label: sex} + - {column: E, row: 6243, expected_value: Employee, label: employment type} + - {column: J, row: 6243, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6245 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6245, expected_value: E12000005, label: geography} + - {column: D, row: 6245, expected_value: Females, label: sex} + - {column: E, row: 6245, expected_value: Employee, label: employment type} + - {column: J, row: 6245, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6249 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6249, expected_value: E12000005, label: geography} + - {column: D, row: 6249, expected_value: Females, label: sex} + - {column: E, row: 6249, expected_value: Employee, label: employment type} + - {column: J, row: 6249, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6251 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6251, expected_value: E12000005, label: geography} + - {column: D, row: 6251, expected_value: Females, label: sex} + - {column: E, row: 6251, expected_value: Employee, label: employment type} + - {column: J, row: 6251, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6253 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6253, expected_value: E12000005, label: geography} + - {column: D, row: 6253, expected_value: Females, label: sex} + - {column: E, row: 6253, expected_value: Employee, label: employment type} + - {column: J, row: 6253, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6255 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6255, expected_value: E12000005, label: geography} + - {column: D, row: 6255, expected_value: Females, label: sex} + - {column: E, row: 6255, expected_value: Employee, label: employment type} + - {column: J, row: 6255, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6257 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6257, expected_value: E12000005, label: geography} + - {column: D, row: 6257, expected_value: Females, label: sex} + - {column: E, row: 6257, expected_value: Employee, label: employment type} + - {column: J, row: 6257, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6261 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6261, expected_value: E12000005, label: geography} + - {column: D, row: 6261, expected_value: Females, label: sex} + - {column: E, row: 6261, expected_value: Employee, label: employment type} + - {column: J, row: 6261, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6263 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6263, expected_value: E12000005, label: geography} + - {column: D, row: 6263, expected_value: Females, label: sex} + - {column: E, row: 6263, expected_value: Employee, label: employment type} + - {column: J, row: 6263, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6265 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6265, expected_value: E12000005, label: geography} + - {column: D, row: 6265, expected_value: Females, label: sex} + - {column: E, row: 6265, expected_value: Employee, label: employment type} + - {column: J, row: 6265, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6410 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6410, expected_value: E12000005, label: geography} + - {column: D, row: 6410, expected_value: Females, label: sex} + - {column: E, row: 6410, expected_value: Self-employed, label: employment type} + - {column: J, row: 6410, expected_value: Value, label: measure} + - {column: L, row: 6411, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6412 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6412, expected_value: E12000005, label: geography} + - {column: D, row: 6412, expected_value: Females, label: sex} + - {column: E, row: 6412, expected_value: Self-employed, label: employment type} + - {column: J, row: 6412, expected_value: Value, label: measure} + - {column: L, row: 6413, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6414 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6414, expected_value: E12000005, label: geography} + - {column: D, row: 6414, expected_value: Females, label: sex} + - {column: E, row: 6414, expected_value: Self-employed, label: employment type} + - {column: J, row: 6414, expected_value: Value, label: measure} + - {column: L, row: 6415, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6416 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6416, expected_value: E12000005, label: geography} + - {column: D, row: 6416, expected_value: Females, label: sex} + - {column: E, row: 6416, expected_value: Self-employed, label: employment type} + - {column: J, row: 6416, expected_value: Value, label: measure} + - {column: L, row: 6417, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6418 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6418, expected_value: E12000005, label: geography} + - {column: D, row: 6418, expected_value: Females, label: sex} + - {column: E, row: 6418, expected_value: Self-employed, label: employment type} + - {column: J, row: 6418, expected_value: Value, label: measure} + - {column: L, row: 6419, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6420 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6420, expected_value: E12000005, label: geography} + - {column: D, row: 6420, expected_value: Females, label: sex} + - {column: E, row: 6420, expected_value: Self-employed, label: employment type} + - {column: J, row: 6420, expected_value: Value, label: measure} + - {column: L, row: 6421, expected_value: G, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6422 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6422, expected_value: E12000005, label: geography} + - {column: D, row: 6422, expected_value: Females, label: sex} + - {column: E, row: 6422, expected_value: Self-employed, label: employment type} + - {column: J, row: 6422, expected_value: Value, label: measure} + - {column: L, row: 6423, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6424 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6424, expected_value: E12000005, label: geography} + - {column: D, row: 6424, expected_value: Females, label: sex} + - {column: E, row: 6424, expected_value: Self-employed, label: employment type} + - {column: J, row: 6424, expected_value: Value, label: measure} + - {column: L, row: 6425, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6426 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6426, expected_value: E12000005, label: geography} + - {column: D, row: 6426, expected_value: Females, label: sex} + - {column: E, row: 6426, expected_value: Self-employed, label: employment type} + - {column: J, row: 6426, expected_value: Value, label: measure} + - {column: L, row: 6427, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6428 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6428, expected_value: E12000005, label: geography} + - {column: D, row: 6428, expected_value: Females, label: sex} + - {column: E, row: 6428, expected_value: Self-employed, label: employment type} + - {column: J, row: 6428, expected_value: Value, label: measure} + - {column: L, row: 6429, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6432 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6432, expected_value: E12000005, label: geography} + - {column: D, row: 6432, expected_value: Females, label: sex} + - {column: E, row: 6432, expected_value: Self-employed, label: employment type} + - {column: J, row: 6432, expected_value: Value, label: measure} + - {column: L, row: 6433, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6436 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6436, expected_value: E12000005, label: geography} + - {column: D, row: 6436, expected_value: Females, label: sex} + - {column: E, row: 6436, expected_value: Self-employed, label: employment type} + - {column: J, row: 6436, expected_value: Value, label: measure} + - {column: L, row: 6437, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6438 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6438, expected_value: E12000005, label: geography} + - {column: D, row: 6438, expected_value: Females, label: sex} + - {column: E, row: 6438, expected_value: Self-employed, label: employment type} + - {column: J, row: 6438, expected_value: Value, label: measure} + - {column: L, row: 6439, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6440 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6440, expected_value: E12000005, label: geography} + - {column: D, row: 6440, expected_value: Females, label: sex} + - {column: E, row: 6440, expected_value: Self-employed, label: employment type} + - {column: J, row: 6440, expected_value: Value, label: measure} + - {column: L, row: 6441, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6442 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6442, expected_value: E12000005, label: geography} + - {column: D, row: 6442, expected_value: Females, label: sex} + - {column: E, row: 6442, expected_value: Self-employed, label: employment type} + - {column: J, row: 6442, expected_value: Value, label: measure} + - {column: L, row: 6443, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6444 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6444, expected_value: E12000005, label: geography} + - {column: D, row: 6444, expected_value: Females, label: sex} + - {column: E, row: 6444, expected_value: Self-employed, label: employment type} + - {column: J, row: 6444, expected_value: Value, label: measure} + - {column: L, row: 6445, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6446 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6446, expected_value: E12000005, label: geography} + - {column: D, row: 6446, expected_value: Females, label: sex} + - {column: E, row: 6446, expected_value: Self-employed, label: employment type} + - {column: J, row: 6446, expected_value: Value, label: measure} + - {column: L, row: 6447, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6448 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6448, expected_value: E12000005, label: geography} + - {column: D, row: 6448, expected_value: Females, label: sex} + - {column: E, row: 6448, expected_value: Self-employed, label: employment type} + - {column: J, row: 6448, expected_value: Value, label: measure} + - {column: L, row: 6449, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6452 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6452, expected_value: E12000005, label: geography} + - {column: D, row: 6452, expected_value: Females, label: sex} + - {column: E, row: 6452, expected_value: Self-employed, label: employment type} + - {column: J, row: 6452, expected_value: Value, label: measure} + - {column: L, row: 6453, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6454 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6454, expected_value: E12000005, label: geography} + - {column: D, row: 6454, expected_value: Females, label: sex} + - {column: E, row: 6454, expected_value: Self-employed, label: employment type} + - {column: J, row: 6454, expected_value: Value, label: measure} + - {column: L, row: 6455, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6456 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6456, expected_value: E12000005, label: geography} + - {column: D, row: 6456, expected_value: Females, label: sex} + - {column: E, row: 6456, expected_value: Self-employed, label: employment type} + - {column: J, row: 6456, expected_value: Value, label: measure} + - {column: L, row: 6457, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6458 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6458, expected_value: E12000005, label: geography} + - {column: D, row: 6458, expected_value: Females, label: sex} + - {column: E, row: 6458, expected_value: Self-employed, label: employment type} + - {column: J, row: 6458, expected_value: Value, label: measure} + - {column: L, row: 6459, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6460 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6460, expected_value: E12000005, label: geography} + - {column: D, row: 6460, expected_value: Females, label: sex} + - {column: E, row: 6460, expected_value: Self-employed, label: employment type} + - {column: J, row: 6460, expected_value: Value, label: measure} + - {column: L, row: 6461, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6464 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6464, expected_value: E12000005, label: geography} + - {column: D, row: 6464, expected_value: Females, label: sex} + - {column: E, row: 6464, expected_value: Self-employed, label: employment type} + - {column: J, row: 6464, expected_value: Value, label: measure} + - {column: L, row: 6465, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6466 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6466, expected_value: E12000005, label: geography} + - {column: D, row: 6466, expected_value: Females, label: sex} + - {column: E, row: 6466, expected_value: Self-employed, label: employment type} + - {column: J, row: 6466, expected_value: Value, label: measure} + - {column: L, row: 6467, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6470 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6470, expected_value: E12000005, label: geography} + - {column: D, row: 6470, expected_value: Females, label: sex} + - {column: E, row: 6470, expected_value: Self-employed, label: employment type} + - {column: J, row: 6470, expected_value: Value, label: measure} + - {column: L, row: 6471, expected_value: G, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6472 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6472, expected_value: E12000005, label: geography} + - {column: D, row: 6472, expected_value: Females, label: sex} + - {column: E, row: 6472, expected_value: Self-employed, label: employment type} + - {column: J, row: 6472, expected_value: Value, label: measure} + - {column: L, row: 6473, expected_value: F, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6474 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6474, expected_value: E12000005, label: geography} + - {column: D, row: 6474, expected_value: Females, label: sex} + - {column: E, row: 6474, expected_value: Self-employed, label: employment type} + - {column: J, row: 6474, expected_value: Value, label: measure} + - {column: L, row: 6475, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6476 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6476, expected_value: E12000005, label: geography} + - {column: D, row: 6476, expected_value: Females, label: sex} + - {column: E, row: 6476, expected_value: Self-employed, label: employment type} + - {column: J, row: 6476, expected_value: Value, label: measure} + - {column: L, row: 6477, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6480 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6480, expected_value: E12000005, label: geography} + - {column: D, row: 6480, expected_value: Females, label: sex} + - {column: E, row: 6480, expected_value: Self-employed, label: employment type} + - {column: J, row: 6480, expected_value: Value, label: measure} + - {column: L, row: 6481, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000005.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000005.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000005.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000005 + geography_level: region + geography_name: West Midlands + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6411 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6411, expected_value: E12000005, label: geography} + - {column: D, row: 6411, expected_value: Females, label: sex} + - {column: E, row: 6411, expected_value: Self-employed, label: employment type} + - {column: J, row: 6411, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6413 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6413, expected_value: E12000005, label: geography} + - {column: D, row: 6413, expected_value: Females, label: sex} + - {column: E, row: 6413, expected_value: Self-employed, label: employment type} + - {column: J, row: 6413, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6415 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6415, expected_value: E12000005, label: geography} + - {column: D, row: 6415, expected_value: Females, label: sex} + - {column: E, row: 6415, expected_value: Self-employed, label: employment type} + - {column: J, row: 6415, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6417 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6417, expected_value: E12000005, label: geography} + - {column: D, row: 6417, expected_value: Females, label: sex} + - {column: E, row: 6417, expected_value: Self-employed, label: employment type} + - {column: J, row: 6417, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6419 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6419, expected_value: E12000005, label: geography} + - {column: D, row: 6419, expected_value: Females, label: sex} + - {column: E, row: 6419, expected_value: Self-employed, label: employment type} + - {column: J, row: 6419, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6423 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6423, expected_value: E12000005, label: geography} + - {column: D, row: 6423, expected_value: Females, label: sex} + - {column: E, row: 6423, expected_value: Self-employed, label: employment type} + - {column: J, row: 6423, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6425 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6425, expected_value: E12000005, label: geography} + - {column: D, row: 6425, expected_value: Females, label: sex} + - {column: E, row: 6425, expected_value: Self-employed, label: employment type} + - {column: J, row: 6425, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6427 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6427, expected_value: E12000005, label: geography} + - {column: D, row: 6427, expected_value: Females, label: sex} + - {column: E, row: 6427, expected_value: Self-employed, label: employment type} + - {column: J, row: 6427, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6429 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6429, expected_value: E12000005, label: geography} + - {column: D, row: 6429, expected_value: Females, label: sex} + - {column: E, row: 6429, expected_value: Self-employed, label: employment type} + - {column: J, row: 6429, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6433 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6433, expected_value: E12000005, label: geography} + - {column: D, row: 6433, expected_value: Females, label: sex} + - {column: E, row: 6433, expected_value: Self-employed, label: employment type} + - {column: J, row: 6433, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6437 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6437, expected_value: E12000005, label: geography} + - {column: D, row: 6437, expected_value: Females, label: sex} + - {column: E, row: 6437, expected_value: Self-employed, label: employment type} + - {column: J, row: 6437, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6439 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6439, expected_value: E12000005, label: geography} + - {column: D, row: 6439, expected_value: Females, label: sex} + - {column: E, row: 6439, expected_value: Self-employed, label: employment type} + - {column: J, row: 6439, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6441 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6441, expected_value: E12000005, label: geography} + - {column: D, row: 6441, expected_value: Females, label: sex} + - {column: E, row: 6441, expected_value: Self-employed, label: employment type} + - {column: J, row: 6441, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6443 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6443, expected_value: E12000005, label: geography} + - {column: D, row: 6443, expected_value: Females, label: sex} + - {column: E, row: 6443, expected_value: Self-employed, label: employment type} + - {column: J, row: 6443, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6447 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6447, expected_value: E12000005, label: geography} + - {column: D, row: 6447, expected_value: Females, label: sex} + - {column: E, row: 6447, expected_value: Self-employed, label: employment type} + - {column: J, row: 6447, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6449 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6449, expected_value: E12000005, label: geography} + - {column: D, row: 6449, expected_value: Females, label: sex} + - {column: E, row: 6449, expected_value: Self-employed, label: employment type} + - {column: J, row: 6449, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6455 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6455, expected_value: E12000005, label: geography} + - {column: D, row: 6455, expected_value: Females, label: sex} + - {column: E, row: 6455, expected_value: Self-employed, label: employment type} + - {column: J, row: 6455, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6457 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6457, expected_value: E12000005, label: geography} + - {column: D, row: 6457, expected_value: Females, label: sex} + - {column: E, row: 6457, expected_value: Self-employed, label: employment type} + - {column: J, row: 6457, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6459 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6459, expected_value: E12000005, label: geography} + - {column: D, row: 6459, expected_value: Females, label: sex} + - {column: E, row: 6459, expected_value: Self-employed, label: employment type} + - {column: J, row: 6459, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6461 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6461, expected_value: E12000005, label: geography} + - {column: D, row: 6461, expected_value: Females, label: sex} + - {column: E, row: 6461, expected_value: Self-employed, label: employment type} + - {column: J, row: 6461, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6465 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6465, expected_value: E12000005, label: geography} + - {column: D, row: 6465, expected_value: Females, label: sex} + - {column: E, row: 6465, expected_value: Self-employed, label: employment type} + - {column: J, row: 6465, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6467 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6467, expected_value: E12000005, label: geography} + - {column: D, row: 6467, expected_value: Females, label: sex} + - {column: E, row: 6467, expected_value: Self-employed, label: employment type} + - {column: J, row: 6467, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6477 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6477, expected_value: E12000005, label: geography} + - {column: D, row: 6477, expected_value: Females, label: sex} + - {column: E, row: 6477, expected_value: Self-employed, label: employment type} + - {column: J, row: 6477, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6481 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6481, expected_value: E12000005, label: geography} + - {column: D, row: 6481, expected_value: Females, label: sex} + - {column: E, row: 6481, expected_value: Self-employed, label: employment type} + - {column: J, row: 6481, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6482 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6482, expected_value: E12000006, label: geography} + - {column: D, row: 6482, expected_value: All persons, label: sex} + - {column: E, row: 6482, expected_value: Total, label: employment type} + - {column: J, row: 6482, expected_value: Value, label: measure} + - {column: L, row: 6483, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6484 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6484, expected_value: E12000006, label: geography} + - {column: D, row: 6484, expected_value: All persons, label: sex} + - {column: E, row: 6484, expected_value: Total, label: employment type} + - {column: J, row: 6484, expected_value: Value, label: measure} + - {column: L, row: 6485, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6486 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6486, expected_value: E12000006, label: geography} + - {column: D, row: 6486, expected_value: All persons, label: sex} + - {column: E, row: 6486, expected_value: Total, label: employment type} + - {column: J, row: 6486, expected_value: Value, label: measure} + - {column: L, row: 6487, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6488 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6488, expected_value: E12000006, label: geography} + - {column: D, row: 6488, expected_value: All persons, label: sex} + - {column: E, row: 6488, expected_value: Total, label: employment type} + - {column: J, row: 6488, expected_value: Value, label: measure} + - {column: L, row: 6489, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6490 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6490, expected_value: E12000006, label: geography} + - {column: D, row: 6490, expected_value: All persons, label: sex} + - {column: E, row: 6490, expected_value: Total, label: employment type} + - {column: J, row: 6490, expected_value: Value, label: measure} + - {column: L, row: 6491, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6492 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6492, expected_value: E12000006, label: geography} + - {column: D, row: 6492, expected_value: All persons, label: sex} + - {column: E, row: 6492, expected_value: Total, label: employment type} + - {column: J, row: 6492, expected_value: Value, label: measure} + - {column: L, row: 6493, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6494 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6494, expected_value: E12000006, label: geography} + - {column: D, row: 6494, expected_value: All persons, label: sex} + - {column: E, row: 6494, expected_value: Total, label: employment type} + - {column: J, row: 6494, expected_value: Value, label: measure} + - {column: L, row: 6495, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6496 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6496, expected_value: E12000006, label: geography} + - {column: D, row: 6496, expected_value: All persons, label: sex} + - {column: E, row: 6496, expected_value: Total, label: employment type} + - {column: J, row: 6496, expected_value: Value, label: measure} + - {column: L, row: 6497, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6498 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6498, expected_value: E12000006, label: geography} + - {column: D, row: 6498, expected_value: All persons, label: sex} + - {column: E, row: 6498, expected_value: Total, label: employment type} + - {column: J, row: 6498, expected_value: Value, label: measure} + - {column: L, row: 6499, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6500 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6500, expected_value: E12000006, label: geography} + - {column: D, row: 6500, expected_value: All persons, label: sex} + - {column: E, row: 6500, expected_value: Total, label: employment type} + - {column: J, row: 6500, expected_value: Value, label: measure} + - {column: L, row: 6501, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6502 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6502, expected_value: E12000006, label: geography} + - {column: D, row: 6502, expected_value: All persons, label: sex} + - {column: E, row: 6502, expected_value: Total, label: employment type} + - {column: J, row: 6502, expected_value: Value, label: measure} + - {column: L, row: 6503, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6504 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6504, expected_value: E12000006, label: geography} + - {column: D, row: 6504, expected_value: All persons, label: sex} + - {column: E, row: 6504, expected_value: Total, label: employment type} + - {column: J, row: 6504, expected_value: Value, label: measure} + - {column: L, row: 6505, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6506 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6506, expected_value: E12000006, label: geography} + - {column: D, row: 6506, expected_value: All persons, label: sex} + - {column: E, row: 6506, expected_value: Total, label: employment type} + - {column: J, row: 6506, expected_value: Value, label: measure} + - {column: L, row: 6507, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6508 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6508, expected_value: E12000006, label: geography} + - {column: D, row: 6508, expected_value: All persons, label: sex} + - {column: E, row: 6508, expected_value: Total, label: employment type} + - {column: J, row: 6508, expected_value: Value, label: measure} + - {column: L, row: 6509, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6510 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6510, expected_value: E12000006, label: geography} + - {column: D, row: 6510, expected_value: All persons, label: sex} + - {column: E, row: 6510, expected_value: Total, label: employment type} + - {column: J, row: 6510, expected_value: Value, label: measure} + - {column: L, row: 6511, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6512 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6512, expected_value: E12000006, label: geography} + - {column: D, row: 6512, expected_value: All persons, label: sex} + - {column: E, row: 6512, expected_value: Total, label: employment type} + - {column: J, row: 6512, expected_value: Value, label: measure} + - {column: L, row: 6513, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6514 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6514, expected_value: E12000006, label: geography} + - {column: D, row: 6514, expected_value: All persons, label: sex} + - {column: E, row: 6514, expected_value: Total, label: employment type} + - {column: J, row: 6514, expected_value: Value, label: measure} + - {column: L, row: 6515, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6516 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6516, expected_value: E12000006, label: geography} + - {column: D, row: 6516, expected_value: All persons, label: sex} + - {column: E, row: 6516, expected_value: Total, label: employment type} + - {column: J, row: 6516, expected_value: Value, label: measure} + - {column: L, row: 6517, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6518 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6518, expected_value: E12000006, label: geography} + - {column: D, row: 6518, expected_value: All persons, label: sex} + - {column: E, row: 6518, expected_value: Total, label: employment type} + - {column: J, row: 6518, expected_value: Value, label: measure} + - {column: L, row: 6519, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6520 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6520, expected_value: E12000006, label: geography} + - {column: D, row: 6520, expected_value: All persons, label: sex} + - {column: E, row: 6520, expected_value: Total, label: employment type} + - {column: J, row: 6520, expected_value: Value, label: measure} + - {column: L, row: 6521, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6522 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6522, expected_value: E12000006, label: geography} + - {column: D, row: 6522, expected_value: All persons, label: sex} + - {column: E, row: 6522, expected_value: Total, label: employment type} + - {column: J, row: 6522, expected_value: Value, label: measure} + - {column: L, row: 6523, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6524 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6524, expected_value: E12000006, label: geography} + - {column: D, row: 6524, expected_value: All persons, label: sex} + - {column: E, row: 6524, expected_value: Total, label: employment type} + - {column: J, row: 6524, expected_value: Value, label: measure} + - {column: L, row: 6525, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6526 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6526, expected_value: E12000006, label: geography} + - {column: D, row: 6526, expected_value: All persons, label: sex} + - {column: E, row: 6526, expected_value: Total, label: employment type} + - {column: J, row: 6526, expected_value: Value, label: measure} + - {column: L, row: 6527, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6528 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6528, expected_value: E12000006, label: geography} + - {column: D, row: 6528, expected_value: All persons, label: sex} + - {column: E, row: 6528, expected_value: Total, label: employment type} + - {column: J, row: 6528, expected_value: Value, label: measure} + - {column: L, row: 6529, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6530 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6530, expected_value: E12000006, label: geography} + - {column: D, row: 6530, expected_value: All persons, label: sex} + - {column: E, row: 6530, expected_value: Total, label: employment type} + - {column: J, row: 6530, expected_value: Value, label: measure} + - {column: L, row: 6531, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6532 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6532, expected_value: E12000006, label: geography} + - {column: D, row: 6532, expected_value: All persons, label: sex} + - {column: E, row: 6532, expected_value: Total, label: employment type} + - {column: J, row: 6532, expected_value: Value, label: measure} + - {column: L, row: 6533, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6534 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6534, expected_value: E12000006, label: geography} + - {column: D, row: 6534, expected_value: All persons, label: sex} + - {column: E, row: 6534, expected_value: Total, label: employment type} + - {column: J, row: 6534, expected_value: Value, label: measure} + - {column: L, row: 6535, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6536 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6536, expected_value: E12000006, label: geography} + - {column: D, row: 6536, expected_value: All persons, label: sex} + - {column: E, row: 6536, expected_value: Total, label: employment type} + - {column: J, row: 6536, expected_value: Value, label: measure} + - {column: L, row: 6537, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6538 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6538, expected_value: E12000006, label: geography} + - {column: D, row: 6538, expected_value: All persons, label: sex} + - {column: E, row: 6538, expected_value: Total, label: employment type} + - {column: J, row: 6538, expected_value: Value, label: measure} + - {column: L, row: 6539, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6540 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6540, expected_value: E12000006, label: geography} + - {column: D, row: 6540, expected_value: All persons, label: sex} + - {column: E, row: 6540, expected_value: Total, label: employment type} + - {column: J, row: 6540, expected_value: Value, label: measure} + - {column: L, row: 6541, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6542 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6542, expected_value: E12000006, label: geography} + - {column: D, row: 6542, expected_value: All persons, label: sex} + - {column: E, row: 6542, expected_value: Total, label: employment type} + - {column: J, row: 6542, expected_value: Value, label: measure} + - {column: L, row: 6543, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6544 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6544, expected_value: E12000006, label: geography} + - {column: D, row: 6544, expected_value: All persons, label: sex} + - {column: E, row: 6544, expected_value: Total, label: employment type} + - {column: J, row: 6544, expected_value: Value, label: measure} + - {column: L, row: 6545, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6546 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6546, expected_value: E12000006, label: geography} + - {column: D, row: 6546, expected_value: All persons, label: sex} + - {column: E, row: 6546, expected_value: Total, label: employment type} + - {column: J, row: 6546, expected_value: Value, label: measure} + - {column: L, row: 6547, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6548 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6548, expected_value: E12000006, label: geography} + - {column: D, row: 6548, expected_value: All persons, label: sex} + - {column: E, row: 6548, expected_value: Total, label: employment type} + - {column: J, row: 6548, expected_value: Value, label: measure} + - {column: L, row: 6549, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6550 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6550, expected_value: E12000006, label: geography} + - {column: D, row: 6550, expected_value: All persons, label: sex} + - {column: E, row: 6550, expected_value: Total, label: employment type} + - {column: J, row: 6550, expected_value: Value, label: measure} + - {column: L, row: 6551, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6552 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6552, expected_value: E12000006, label: geography} + - {column: D, row: 6552, expected_value: All persons, label: sex} + - {column: E, row: 6552, expected_value: Total, label: employment type} + - {column: J, row: 6552, expected_value: Value, label: measure} + - {column: L, row: 6553, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6483 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6483, expected_value: E12000006, label: geography} + - {column: D, row: 6483, expected_value: All persons, label: sex} + - {column: E, row: 6483, expected_value: Total, label: employment type} + - {column: J, row: 6483, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6485 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6485, expected_value: E12000006, label: geography} + - {column: D, row: 6485, expected_value: All persons, label: sex} + - {column: E, row: 6485, expected_value: Total, label: employment type} + - {column: J, row: 6485, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6487 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6487, expected_value: E12000006, label: geography} + - {column: D, row: 6487, expected_value: All persons, label: sex} + - {column: E, row: 6487, expected_value: Total, label: employment type} + - {column: J, row: 6487, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6489 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6489, expected_value: E12000006, label: geography} + - {column: D, row: 6489, expected_value: All persons, label: sex} + - {column: E, row: 6489, expected_value: Total, label: employment type} + - {column: J, row: 6489, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6491 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6491, expected_value: E12000006, label: geography} + - {column: D, row: 6491, expected_value: All persons, label: sex} + - {column: E, row: 6491, expected_value: Total, label: employment type} + - {column: J, row: 6491, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6493 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6493, expected_value: E12000006, label: geography} + - {column: D, row: 6493, expected_value: All persons, label: sex} + - {column: E, row: 6493, expected_value: Total, label: employment type} + - {column: J, row: 6493, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6495 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6495, expected_value: E12000006, label: geography} + - {column: D, row: 6495, expected_value: All persons, label: sex} + - {column: E, row: 6495, expected_value: Total, label: employment type} + - {column: J, row: 6495, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6497 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6497, expected_value: E12000006, label: geography} + - {column: D, row: 6497, expected_value: All persons, label: sex} + - {column: E, row: 6497, expected_value: Total, label: employment type} + - {column: J, row: 6497, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6499 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6499, expected_value: E12000006, label: geography} + - {column: D, row: 6499, expected_value: All persons, label: sex} + - {column: E, row: 6499, expected_value: Total, label: employment type} + - {column: J, row: 6499, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6501 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6501, expected_value: E12000006, label: geography} + - {column: D, row: 6501, expected_value: All persons, label: sex} + - {column: E, row: 6501, expected_value: Total, label: employment type} + - {column: J, row: 6501, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6503 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6503, expected_value: E12000006, label: geography} + - {column: D, row: 6503, expected_value: All persons, label: sex} + - {column: E, row: 6503, expected_value: Total, label: employment type} + - {column: J, row: 6503, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6505 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6505, expected_value: E12000006, label: geography} + - {column: D, row: 6505, expected_value: All persons, label: sex} + - {column: E, row: 6505, expected_value: Total, label: employment type} + - {column: J, row: 6505, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6507 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6507, expected_value: E12000006, label: geography} + - {column: D, row: 6507, expected_value: All persons, label: sex} + - {column: E, row: 6507, expected_value: Total, label: employment type} + - {column: J, row: 6507, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6509 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6509, expected_value: E12000006, label: geography} + - {column: D, row: 6509, expected_value: All persons, label: sex} + - {column: E, row: 6509, expected_value: Total, label: employment type} + - {column: J, row: 6509, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6511 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6511, expected_value: E12000006, label: geography} + - {column: D, row: 6511, expected_value: All persons, label: sex} + - {column: E, row: 6511, expected_value: Total, label: employment type} + - {column: J, row: 6511, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6513 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6513, expected_value: E12000006, label: geography} + - {column: D, row: 6513, expected_value: All persons, label: sex} + - {column: E, row: 6513, expected_value: Total, label: employment type} + - {column: J, row: 6513, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6515 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6515, expected_value: E12000006, label: geography} + - {column: D, row: 6515, expected_value: All persons, label: sex} + - {column: E, row: 6515, expected_value: Total, label: employment type} + - {column: J, row: 6515, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6517 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6517, expected_value: E12000006, label: geography} + - {column: D, row: 6517, expected_value: All persons, label: sex} + - {column: E, row: 6517, expected_value: Total, label: employment type} + - {column: J, row: 6517, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6519 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6519, expected_value: E12000006, label: geography} + - {column: D, row: 6519, expected_value: All persons, label: sex} + - {column: E, row: 6519, expected_value: Total, label: employment type} + - {column: J, row: 6519, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6521 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6521, expected_value: E12000006, label: geography} + - {column: D, row: 6521, expected_value: All persons, label: sex} + - {column: E, row: 6521, expected_value: Total, label: employment type} + - {column: J, row: 6521, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6523 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6523, expected_value: E12000006, label: geography} + - {column: D, row: 6523, expected_value: All persons, label: sex} + - {column: E, row: 6523, expected_value: Total, label: employment type} + - {column: J, row: 6523, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6525 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6525, expected_value: E12000006, label: geography} + - {column: D, row: 6525, expected_value: All persons, label: sex} + - {column: E, row: 6525, expected_value: Total, label: employment type} + - {column: J, row: 6525, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6527 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6527, expected_value: E12000006, label: geography} + - {column: D, row: 6527, expected_value: All persons, label: sex} + - {column: E, row: 6527, expected_value: Total, label: employment type} + - {column: J, row: 6527, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6529 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6529, expected_value: E12000006, label: geography} + - {column: D, row: 6529, expected_value: All persons, label: sex} + - {column: E, row: 6529, expected_value: Total, label: employment type} + - {column: J, row: 6529, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6531 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6531, expected_value: E12000006, label: geography} + - {column: D, row: 6531, expected_value: All persons, label: sex} + - {column: E, row: 6531, expected_value: Total, label: employment type} + - {column: J, row: 6531, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6533 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6533, expected_value: E12000006, label: geography} + - {column: D, row: 6533, expected_value: All persons, label: sex} + - {column: E, row: 6533, expected_value: Total, label: employment type} + - {column: J, row: 6533, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6537 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6537, expected_value: E12000006, label: geography} + - {column: D, row: 6537, expected_value: All persons, label: sex} + - {column: E, row: 6537, expected_value: Total, label: employment type} + - {column: J, row: 6537, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6539 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6539, expected_value: E12000006, label: geography} + - {column: D, row: 6539, expected_value: All persons, label: sex} + - {column: E, row: 6539, expected_value: Total, label: employment type} + - {column: J, row: 6539, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6541 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6541, expected_value: E12000006, label: geography} + - {column: D, row: 6541, expected_value: All persons, label: sex} + - {column: E, row: 6541, expected_value: Total, label: employment type} + - {column: J, row: 6541, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6543 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6543, expected_value: E12000006, label: geography} + - {column: D, row: 6543, expected_value: All persons, label: sex} + - {column: E, row: 6543, expected_value: Total, label: employment type} + - {column: J, row: 6543, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6545 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6545, expected_value: E12000006, label: geography} + - {column: D, row: 6545, expected_value: All persons, label: sex} + - {column: E, row: 6545, expected_value: Total, label: employment type} + - {column: J, row: 6545, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6547 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6547, expected_value: E12000006, label: geography} + - {column: D, row: 6547, expected_value: All persons, label: sex} + - {column: E, row: 6547, expected_value: Total, label: employment type} + - {column: J, row: 6547, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6549 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6549, expected_value: E12000006, label: geography} + - {column: D, row: 6549, expected_value: All persons, label: sex} + - {column: E, row: 6549, expected_value: Total, label: employment type} + - {column: J, row: 6549, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6551 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6551, expected_value: E12000006, label: geography} + - {column: D, row: 6551, expected_value: All persons, label: sex} + - {column: E, row: 6551, expected_value: Total, label: employment type} + - {column: J, row: 6551, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6553 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6553, expected_value: E12000006, label: geography} + - {column: D, row: 6553, expected_value: All persons, label: sex} + - {column: E, row: 6553, expected_value: Total, label: employment type} + - {column: J, row: 6553, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6698 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6698, expected_value: E12000006, label: geography} + - {column: D, row: 6698, expected_value: All persons, label: sex} + - {column: E, row: 6698, expected_value: Employee, label: employment type} + - {column: J, row: 6698, expected_value: Value, label: measure} + - {column: L, row: 6699, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6700 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6700, expected_value: E12000006, label: geography} + - {column: D, row: 6700, expected_value: All persons, label: sex} + - {column: E, row: 6700, expected_value: Employee, label: employment type} + - {column: J, row: 6700, expected_value: Value, label: measure} + - {column: L, row: 6701, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6702 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6702, expected_value: E12000006, label: geography} + - {column: D, row: 6702, expected_value: All persons, label: sex} + - {column: E, row: 6702, expected_value: Employee, label: employment type} + - {column: J, row: 6702, expected_value: Value, label: measure} + - {column: L, row: 6703, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6704 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6704, expected_value: E12000006, label: geography} + - {column: D, row: 6704, expected_value: All persons, label: sex} + - {column: E, row: 6704, expected_value: Employee, label: employment type} + - {column: J, row: 6704, expected_value: Value, label: measure} + - {column: L, row: 6705, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6706 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6706, expected_value: E12000006, label: geography} + - {column: D, row: 6706, expected_value: All persons, label: sex} + - {column: E, row: 6706, expected_value: Employee, label: employment type} + - {column: J, row: 6706, expected_value: Value, label: measure} + - {column: L, row: 6707, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6708 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6708, expected_value: E12000006, label: geography} + - {column: D, row: 6708, expected_value: All persons, label: sex} + - {column: E, row: 6708, expected_value: Employee, label: employment type} + - {column: J, row: 6708, expected_value: Value, label: measure} + - {column: L, row: 6709, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6710 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6710, expected_value: E12000006, label: geography} + - {column: D, row: 6710, expected_value: All persons, label: sex} + - {column: E, row: 6710, expected_value: Employee, label: employment type} + - {column: J, row: 6710, expected_value: Value, label: measure} + - {column: L, row: 6711, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6712 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6712, expected_value: E12000006, label: geography} + - {column: D, row: 6712, expected_value: All persons, label: sex} + - {column: E, row: 6712, expected_value: Employee, label: employment type} + - {column: J, row: 6712, expected_value: Value, label: measure} + - {column: L, row: 6713, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6714 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6714, expected_value: E12000006, label: geography} + - {column: D, row: 6714, expected_value: All persons, label: sex} + - {column: E, row: 6714, expected_value: Employee, label: employment type} + - {column: J, row: 6714, expected_value: Value, label: measure} + - {column: L, row: 6715, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6716 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6716, expected_value: E12000006, label: geography} + - {column: D, row: 6716, expected_value: All persons, label: sex} + - {column: E, row: 6716, expected_value: Employee, label: employment type} + - {column: J, row: 6716, expected_value: Value, label: measure} + - {column: L, row: 6717, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6718 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6718, expected_value: E12000006, label: geography} + - {column: D, row: 6718, expected_value: All persons, label: sex} + - {column: E, row: 6718, expected_value: Employee, label: employment type} + - {column: J, row: 6718, expected_value: Value, label: measure} + - {column: L, row: 6719, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6720 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6720, expected_value: E12000006, label: geography} + - {column: D, row: 6720, expected_value: All persons, label: sex} + - {column: E, row: 6720, expected_value: Employee, label: employment type} + - {column: J, row: 6720, expected_value: Value, label: measure} + - {column: L, row: 6721, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6722 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6722, expected_value: E12000006, label: geography} + - {column: D, row: 6722, expected_value: All persons, label: sex} + - {column: E, row: 6722, expected_value: Employee, label: employment type} + - {column: J, row: 6722, expected_value: Value, label: measure} + - {column: L, row: 6723, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6724 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6724, expected_value: E12000006, label: geography} + - {column: D, row: 6724, expected_value: All persons, label: sex} + - {column: E, row: 6724, expected_value: Employee, label: employment type} + - {column: J, row: 6724, expected_value: Value, label: measure} + - {column: L, row: 6725, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6726 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6726, expected_value: E12000006, label: geography} + - {column: D, row: 6726, expected_value: All persons, label: sex} + - {column: E, row: 6726, expected_value: Employee, label: employment type} + - {column: J, row: 6726, expected_value: Value, label: measure} + - {column: L, row: 6727, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6728 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6728, expected_value: E12000006, label: geography} + - {column: D, row: 6728, expected_value: All persons, label: sex} + - {column: E, row: 6728, expected_value: Employee, label: employment type} + - {column: J, row: 6728, expected_value: Value, label: measure} + - {column: L, row: 6729, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6730 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6730, expected_value: E12000006, label: geography} + - {column: D, row: 6730, expected_value: All persons, label: sex} + - {column: E, row: 6730, expected_value: Employee, label: employment type} + - {column: J, row: 6730, expected_value: Value, label: measure} + - {column: L, row: 6731, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6732 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6732, expected_value: E12000006, label: geography} + - {column: D, row: 6732, expected_value: All persons, label: sex} + - {column: E, row: 6732, expected_value: Employee, label: employment type} + - {column: J, row: 6732, expected_value: Value, label: measure} + - {column: L, row: 6733, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6734 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6734, expected_value: E12000006, label: geography} + - {column: D, row: 6734, expected_value: All persons, label: sex} + - {column: E, row: 6734, expected_value: Employee, label: employment type} + - {column: J, row: 6734, expected_value: Value, label: measure} + - {column: L, row: 6735, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6736 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6736, expected_value: E12000006, label: geography} + - {column: D, row: 6736, expected_value: All persons, label: sex} + - {column: E, row: 6736, expected_value: Employee, label: employment type} + - {column: J, row: 6736, expected_value: Value, label: measure} + - {column: L, row: 6737, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6738 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6738, expected_value: E12000006, label: geography} + - {column: D, row: 6738, expected_value: All persons, label: sex} + - {column: E, row: 6738, expected_value: Employee, label: employment type} + - {column: J, row: 6738, expected_value: Value, label: measure} + - {column: L, row: 6739, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6740 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6740, expected_value: E12000006, label: geography} + - {column: D, row: 6740, expected_value: All persons, label: sex} + - {column: E, row: 6740, expected_value: Employee, label: employment type} + - {column: J, row: 6740, expected_value: Value, label: measure} + - {column: L, row: 6741, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6742 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6742, expected_value: E12000006, label: geography} + - {column: D, row: 6742, expected_value: All persons, label: sex} + - {column: E, row: 6742, expected_value: Employee, label: employment type} + - {column: J, row: 6742, expected_value: Value, label: measure} + - {column: L, row: 6743, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6744 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6744, expected_value: E12000006, label: geography} + - {column: D, row: 6744, expected_value: All persons, label: sex} + - {column: E, row: 6744, expected_value: Employee, label: employment type} + - {column: J, row: 6744, expected_value: Value, label: measure} + - {column: L, row: 6745, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6746 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6746, expected_value: E12000006, label: geography} + - {column: D, row: 6746, expected_value: All persons, label: sex} + - {column: E, row: 6746, expected_value: Employee, label: employment type} + - {column: J, row: 6746, expected_value: Value, label: measure} + - {column: L, row: 6747, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6748 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6748, expected_value: E12000006, label: geography} + - {column: D, row: 6748, expected_value: All persons, label: sex} + - {column: E, row: 6748, expected_value: Employee, label: employment type} + - {column: J, row: 6748, expected_value: Value, label: measure} + - {column: L, row: 6749, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6750 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6750, expected_value: E12000006, label: geography} + - {column: D, row: 6750, expected_value: All persons, label: sex} + - {column: E, row: 6750, expected_value: Employee, label: employment type} + - {column: J, row: 6750, expected_value: Value, label: measure} + - {column: L, row: 6751, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6752 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6752, expected_value: E12000006, label: geography} + - {column: D, row: 6752, expected_value: All persons, label: sex} + - {column: E, row: 6752, expected_value: Employee, label: employment type} + - {column: J, row: 6752, expected_value: Value, label: measure} + - {column: L, row: 6753, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6754 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6754, expected_value: E12000006, label: geography} + - {column: D, row: 6754, expected_value: All persons, label: sex} + - {column: E, row: 6754, expected_value: Employee, label: employment type} + - {column: J, row: 6754, expected_value: Value, label: measure} + - {column: L, row: 6755, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6756 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6756, expected_value: E12000006, label: geography} + - {column: D, row: 6756, expected_value: All persons, label: sex} + - {column: E, row: 6756, expected_value: Employee, label: employment type} + - {column: J, row: 6756, expected_value: Value, label: measure} + - {column: L, row: 6757, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6758 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6758, expected_value: E12000006, label: geography} + - {column: D, row: 6758, expected_value: All persons, label: sex} + - {column: E, row: 6758, expected_value: Employee, label: employment type} + - {column: J, row: 6758, expected_value: Value, label: measure} + - {column: L, row: 6759, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6760 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6760, expected_value: E12000006, label: geography} + - {column: D, row: 6760, expected_value: All persons, label: sex} + - {column: E, row: 6760, expected_value: Employee, label: employment type} + - {column: J, row: 6760, expected_value: Value, label: measure} + - {column: L, row: 6761, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6762 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6762, expected_value: E12000006, label: geography} + - {column: D, row: 6762, expected_value: All persons, label: sex} + - {column: E, row: 6762, expected_value: Employee, label: employment type} + - {column: J, row: 6762, expected_value: Value, label: measure} + - {column: L, row: 6763, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6764 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6764, expected_value: E12000006, label: geography} + - {column: D, row: 6764, expected_value: All persons, label: sex} + - {column: E, row: 6764, expected_value: Employee, label: employment type} + - {column: J, row: 6764, expected_value: Value, label: measure} + - {column: L, row: 6765, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6766 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6766, expected_value: E12000006, label: geography} + - {column: D, row: 6766, expected_value: All persons, label: sex} + - {column: E, row: 6766, expected_value: Employee, label: employment type} + - {column: J, row: 6766, expected_value: Value, label: measure} + - {column: L, row: 6767, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6768 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6768, expected_value: E12000006, label: geography} + - {column: D, row: 6768, expected_value: All persons, label: sex} + - {column: E, row: 6768, expected_value: Employee, label: employment type} + - {column: J, row: 6768, expected_value: Value, label: measure} + - {column: L, row: 6769, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6699 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6699, expected_value: E12000006, label: geography} + - {column: D, row: 6699, expected_value: All persons, label: sex} + - {column: E, row: 6699, expected_value: Employee, label: employment type} + - {column: J, row: 6699, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6701 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6701, expected_value: E12000006, label: geography} + - {column: D, row: 6701, expected_value: All persons, label: sex} + - {column: E, row: 6701, expected_value: Employee, label: employment type} + - {column: J, row: 6701, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6703 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6703, expected_value: E12000006, label: geography} + - {column: D, row: 6703, expected_value: All persons, label: sex} + - {column: E, row: 6703, expected_value: Employee, label: employment type} + - {column: J, row: 6703, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6705 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6705, expected_value: E12000006, label: geography} + - {column: D, row: 6705, expected_value: All persons, label: sex} + - {column: E, row: 6705, expected_value: Employee, label: employment type} + - {column: J, row: 6705, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6707 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6707, expected_value: E12000006, label: geography} + - {column: D, row: 6707, expected_value: All persons, label: sex} + - {column: E, row: 6707, expected_value: Employee, label: employment type} + - {column: J, row: 6707, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6709 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6709, expected_value: E12000006, label: geography} + - {column: D, row: 6709, expected_value: All persons, label: sex} + - {column: E, row: 6709, expected_value: Employee, label: employment type} + - {column: J, row: 6709, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6711 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6711, expected_value: E12000006, label: geography} + - {column: D, row: 6711, expected_value: All persons, label: sex} + - {column: E, row: 6711, expected_value: Employee, label: employment type} + - {column: J, row: 6711, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6713 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6713, expected_value: E12000006, label: geography} + - {column: D, row: 6713, expected_value: All persons, label: sex} + - {column: E, row: 6713, expected_value: Employee, label: employment type} + - {column: J, row: 6713, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6715 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6715, expected_value: E12000006, label: geography} + - {column: D, row: 6715, expected_value: All persons, label: sex} + - {column: E, row: 6715, expected_value: Employee, label: employment type} + - {column: J, row: 6715, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6717 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6717, expected_value: E12000006, label: geography} + - {column: D, row: 6717, expected_value: All persons, label: sex} + - {column: E, row: 6717, expected_value: Employee, label: employment type} + - {column: J, row: 6717, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6719 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6719, expected_value: E12000006, label: geography} + - {column: D, row: 6719, expected_value: All persons, label: sex} + - {column: E, row: 6719, expected_value: Employee, label: employment type} + - {column: J, row: 6719, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6721 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6721, expected_value: E12000006, label: geography} + - {column: D, row: 6721, expected_value: All persons, label: sex} + - {column: E, row: 6721, expected_value: Employee, label: employment type} + - {column: J, row: 6721, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6723 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6723, expected_value: E12000006, label: geography} + - {column: D, row: 6723, expected_value: All persons, label: sex} + - {column: E, row: 6723, expected_value: Employee, label: employment type} + - {column: J, row: 6723, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6725 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6725, expected_value: E12000006, label: geography} + - {column: D, row: 6725, expected_value: All persons, label: sex} + - {column: E, row: 6725, expected_value: Employee, label: employment type} + - {column: J, row: 6725, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6727 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6727, expected_value: E12000006, label: geography} + - {column: D, row: 6727, expected_value: All persons, label: sex} + - {column: E, row: 6727, expected_value: Employee, label: employment type} + - {column: J, row: 6727, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6729 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6729, expected_value: E12000006, label: geography} + - {column: D, row: 6729, expected_value: All persons, label: sex} + - {column: E, row: 6729, expected_value: Employee, label: employment type} + - {column: J, row: 6729, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6731 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6731, expected_value: E12000006, label: geography} + - {column: D, row: 6731, expected_value: All persons, label: sex} + - {column: E, row: 6731, expected_value: Employee, label: employment type} + - {column: J, row: 6731, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6733 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6733, expected_value: E12000006, label: geography} + - {column: D, row: 6733, expected_value: All persons, label: sex} + - {column: E, row: 6733, expected_value: Employee, label: employment type} + - {column: J, row: 6733, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6735 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6735, expected_value: E12000006, label: geography} + - {column: D, row: 6735, expected_value: All persons, label: sex} + - {column: E, row: 6735, expected_value: Employee, label: employment type} + - {column: J, row: 6735, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6737 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6737, expected_value: E12000006, label: geography} + - {column: D, row: 6737, expected_value: All persons, label: sex} + - {column: E, row: 6737, expected_value: Employee, label: employment type} + - {column: J, row: 6737, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6739 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6739, expected_value: E12000006, label: geography} + - {column: D, row: 6739, expected_value: All persons, label: sex} + - {column: E, row: 6739, expected_value: Employee, label: employment type} + - {column: J, row: 6739, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6741 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6741, expected_value: E12000006, label: geography} + - {column: D, row: 6741, expected_value: All persons, label: sex} + - {column: E, row: 6741, expected_value: Employee, label: employment type} + - {column: J, row: 6741, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6743 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6743, expected_value: E12000006, label: geography} + - {column: D, row: 6743, expected_value: All persons, label: sex} + - {column: E, row: 6743, expected_value: Employee, label: employment type} + - {column: J, row: 6743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6745 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6745, expected_value: E12000006, label: geography} + - {column: D, row: 6745, expected_value: All persons, label: sex} + - {column: E, row: 6745, expected_value: Employee, label: employment type} + - {column: J, row: 6745, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6747 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6747, expected_value: E12000006, label: geography} + - {column: D, row: 6747, expected_value: All persons, label: sex} + - {column: E, row: 6747, expected_value: Employee, label: employment type} + - {column: J, row: 6747, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6749 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6749, expected_value: E12000006, label: geography} + - {column: D, row: 6749, expected_value: All persons, label: sex} + - {column: E, row: 6749, expected_value: Employee, label: employment type} + - {column: J, row: 6749, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6753 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6753, expected_value: E12000006, label: geography} + - {column: D, row: 6753, expected_value: All persons, label: sex} + - {column: E, row: 6753, expected_value: Employee, label: employment type} + - {column: J, row: 6753, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6755 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6755, expected_value: E12000006, label: geography} + - {column: D, row: 6755, expected_value: All persons, label: sex} + - {column: E, row: 6755, expected_value: Employee, label: employment type} + - {column: J, row: 6755, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6757 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6757, expected_value: E12000006, label: geography} + - {column: D, row: 6757, expected_value: All persons, label: sex} + - {column: E, row: 6757, expected_value: Employee, label: employment type} + - {column: J, row: 6757, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6759 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6759, expected_value: E12000006, label: geography} + - {column: D, row: 6759, expected_value: All persons, label: sex} + - {column: E, row: 6759, expected_value: Employee, label: employment type} + - {column: J, row: 6759, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6761 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6761, expected_value: E12000006, label: geography} + - {column: D, row: 6761, expected_value: All persons, label: sex} + - {column: E, row: 6761, expected_value: Employee, label: employment type} + - {column: J, row: 6761, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6763 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6763, expected_value: E12000006, label: geography} + - {column: D, row: 6763, expected_value: All persons, label: sex} + - {column: E, row: 6763, expected_value: Employee, label: employment type} + - {column: J, row: 6763, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6765 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6765, expected_value: E12000006, label: geography} + - {column: D, row: 6765, expected_value: All persons, label: sex} + - {column: E, row: 6765, expected_value: Employee, label: employment type} + - {column: J, row: 6765, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6767 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6767, expected_value: E12000006, label: geography} + - {column: D, row: 6767, expected_value: All persons, label: sex} + - {column: E, row: 6767, expected_value: Employee, label: employment type} + - {column: J, row: 6767, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6769 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6769, expected_value: E12000006, label: geography} + - {column: D, row: 6769, expected_value: All persons, label: sex} + - {column: E, row: 6769, expected_value: Employee, label: employment type} + - {column: J, row: 6769, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6914 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6914, expected_value: E12000006, label: geography} + - {column: D, row: 6914, expected_value: All persons, label: sex} + - {column: E, row: 6914, expected_value: Self-employed, label: employment type} + - {column: J, row: 6914, expected_value: Value, label: measure} + - {column: L, row: 6915, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6916 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6916, expected_value: E12000006, label: geography} + - {column: D, row: 6916, expected_value: All persons, label: sex} + - {column: E, row: 6916, expected_value: Self-employed, label: employment type} + - {column: J, row: 6916, expected_value: Value, label: measure} + - {column: L, row: 6917, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6918 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6918, expected_value: E12000006, label: geography} + - {column: D, row: 6918, expected_value: All persons, label: sex} + - {column: E, row: 6918, expected_value: Self-employed, label: employment type} + - {column: J, row: 6918, expected_value: Value, label: measure} + - {column: L, row: 6919, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6920 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6920, expected_value: E12000006, label: geography} + - {column: D, row: 6920, expected_value: All persons, label: sex} + - {column: E, row: 6920, expected_value: Self-employed, label: employment type} + - {column: J, row: 6920, expected_value: Value, label: measure} + - {column: L, row: 6921, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6922 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6922, expected_value: E12000006, label: geography} + - {column: D, row: 6922, expected_value: All persons, label: sex} + - {column: E, row: 6922, expected_value: Self-employed, label: employment type} + - {column: J, row: 6922, expected_value: Value, label: measure} + - {column: L, row: 6923, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6924 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6924, expected_value: E12000006, label: geography} + - {column: D, row: 6924, expected_value: All persons, label: sex} + - {column: E, row: 6924, expected_value: Self-employed, label: employment type} + - {column: J, row: 6924, expected_value: Value, label: measure} + - {column: L, row: 6925, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6926 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6926, expected_value: E12000006, label: geography} + - {column: D, row: 6926, expected_value: All persons, label: sex} + - {column: E, row: 6926, expected_value: Self-employed, label: employment type} + - {column: J, row: 6926, expected_value: Value, label: measure} + - {column: L, row: 6927, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6928 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6928, expected_value: E12000006, label: geography} + - {column: D, row: 6928, expected_value: All persons, label: sex} + - {column: E, row: 6928, expected_value: Self-employed, label: employment type} + - {column: J, row: 6928, expected_value: Value, label: measure} + - {column: L, row: 6929, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6930 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6930, expected_value: E12000006, label: geography} + - {column: D, row: 6930, expected_value: All persons, label: sex} + - {column: E, row: 6930, expected_value: Self-employed, label: employment type} + - {column: J, row: 6930, expected_value: Value, label: measure} + - {column: L, row: 6931, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6932 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6932, expected_value: E12000006, label: geography} + - {column: D, row: 6932, expected_value: All persons, label: sex} + - {column: E, row: 6932, expected_value: Self-employed, label: employment type} + - {column: J, row: 6932, expected_value: Value, label: measure} + - {column: L, row: 6933, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6934 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6934, expected_value: E12000006, label: geography} + - {column: D, row: 6934, expected_value: All persons, label: sex} + - {column: E, row: 6934, expected_value: Self-employed, label: employment type} + - {column: J, row: 6934, expected_value: Value, label: measure} + - {column: L, row: 6935, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6936 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6936, expected_value: E12000006, label: geography} + - {column: D, row: 6936, expected_value: All persons, label: sex} + - {column: E, row: 6936, expected_value: Self-employed, label: employment type} + - {column: J, row: 6936, expected_value: Value, label: measure} + - {column: L, row: 6937, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6938 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6938, expected_value: E12000006, label: geography} + - {column: D, row: 6938, expected_value: All persons, label: sex} + - {column: E, row: 6938, expected_value: Self-employed, label: employment type} + - {column: J, row: 6938, expected_value: Value, label: measure} + - {column: L, row: 6939, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6940 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6940, expected_value: E12000006, label: geography} + - {column: D, row: 6940, expected_value: All persons, label: sex} + - {column: E, row: 6940, expected_value: Self-employed, label: employment type} + - {column: J, row: 6940, expected_value: Value, label: measure} + - {column: L, row: 6941, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6942 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6942, expected_value: E12000006, label: geography} + - {column: D, row: 6942, expected_value: All persons, label: sex} + - {column: E, row: 6942, expected_value: Self-employed, label: employment type} + - {column: J, row: 6942, expected_value: Value, label: measure} + - {column: L, row: 6943, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6944 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6944, expected_value: E12000006, label: geography} + - {column: D, row: 6944, expected_value: All persons, label: sex} + - {column: E, row: 6944, expected_value: Self-employed, label: employment type} + - {column: J, row: 6944, expected_value: Value, label: measure} + - {column: L, row: 6945, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6946 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6946, expected_value: E12000006, label: geography} + - {column: D, row: 6946, expected_value: All persons, label: sex} + - {column: E, row: 6946, expected_value: Self-employed, label: employment type} + - {column: J, row: 6946, expected_value: Value, label: measure} + - {column: L, row: 6947, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6948 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6948, expected_value: E12000006, label: geography} + - {column: D, row: 6948, expected_value: All persons, label: sex} + - {column: E, row: 6948, expected_value: Self-employed, label: employment type} + - {column: J, row: 6948, expected_value: Value, label: measure} + - {column: L, row: 6949, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6950 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6950, expected_value: E12000006, label: geography} + - {column: D, row: 6950, expected_value: All persons, label: sex} + - {column: E, row: 6950, expected_value: Self-employed, label: employment type} + - {column: J, row: 6950, expected_value: Value, label: measure} + - {column: L, row: 6951, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6952 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6952, expected_value: E12000006, label: geography} + - {column: D, row: 6952, expected_value: All persons, label: sex} + - {column: E, row: 6952, expected_value: Self-employed, label: employment type} + - {column: J, row: 6952, expected_value: Value, label: measure} + - {column: L, row: 6953, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6954 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6954, expected_value: E12000006, label: geography} + - {column: D, row: 6954, expected_value: All persons, label: sex} + - {column: E, row: 6954, expected_value: Self-employed, label: employment type} + - {column: J, row: 6954, expected_value: Value, label: measure} + - {column: L, row: 6955, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6956 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6956, expected_value: E12000006, label: geography} + - {column: D, row: 6956, expected_value: All persons, label: sex} + - {column: E, row: 6956, expected_value: Self-employed, label: employment type} + - {column: J, row: 6956, expected_value: Value, label: measure} + - {column: L, row: 6957, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6958 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6958, expected_value: E12000006, label: geography} + - {column: D, row: 6958, expected_value: All persons, label: sex} + - {column: E, row: 6958, expected_value: Self-employed, label: employment type} + - {column: J, row: 6958, expected_value: Value, label: measure} + - {column: L, row: 6959, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6960 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6960, expected_value: E12000006, label: geography} + - {column: D, row: 6960, expected_value: All persons, label: sex} + - {column: E, row: 6960, expected_value: Self-employed, label: employment type} + - {column: J, row: 6960, expected_value: Value, label: measure} + - {column: L, row: 6961, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6962 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6962, expected_value: E12000006, label: geography} + - {column: D, row: 6962, expected_value: All persons, label: sex} + - {column: E, row: 6962, expected_value: Self-employed, label: employment type} + - {column: J, row: 6962, expected_value: Value, label: measure} + - {column: L, row: 6963, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6964 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6964, expected_value: E12000006, label: geography} + - {column: D, row: 6964, expected_value: All persons, label: sex} + - {column: E, row: 6964, expected_value: Self-employed, label: employment type} + - {column: J, row: 6964, expected_value: Value, label: measure} + - {column: L, row: 6965, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6968 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6968, expected_value: E12000006, label: geography} + - {column: D, row: 6968, expected_value: All persons, label: sex} + - {column: E, row: 6968, expected_value: Self-employed, label: employment type} + - {column: J, row: 6968, expected_value: Value, label: measure} + - {column: L, row: 6969, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6970 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6970, expected_value: E12000006, label: geography} + - {column: D, row: 6970, expected_value: All persons, label: sex} + - {column: E, row: 6970, expected_value: Self-employed, label: employment type} + - {column: J, row: 6970, expected_value: Value, label: measure} + - {column: L, row: 6971, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6974 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6974, expected_value: E12000006, label: geography} + - {column: D, row: 6974, expected_value: All persons, label: sex} + - {column: E, row: 6974, expected_value: Self-employed, label: employment type} + - {column: J, row: 6974, expected_value: Value, label: measure} + - {column: L, row: 6975, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6976 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6976, expected_value: E12000006, label: geography} + - {column: D, row: 6976, expected_value: All persons, label: sex} + - {column: E, row: 6976, expected_value: Self-employed, label: employment type} + - {column: J, row: 6976, expected_value: Value, label: measure} + - {column: L, row: 6977, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6978 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6978, expected_value: E12000006, label: geography} + - {column: D, row: 6978, expected_value: All persons, label: sex} + - {column: E, row: 6978, expected_value: Self-employed, label: employment type} + - {column: J, row: 6978, expected_value: Value, label: measure} + - {column: L, row: 6979, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6980 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6980, expected_value: E12000006, label: geography} + - {column: D, row: 6980, expected_value: All persons, label: sex} + - {column: E, row: 6980, expected_value: Self-employed, label: employment type} + - {column: J, row: 6980, expected_value: Value, label: measure} + - {column: L, row: 6981, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6982 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6982, expected_value: E12000006, label: geography} + - {column: D, row: 6982, expected_value: All persons, label: sex} + - {column: E, row: 6982, expected_value: Self-employed, label: employment type} + - {column: J, row: 6982, expected_value: Value, label: measure} + - {column: L, row: 6983, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6984 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6984, expected_value: E12000006, label: geography} + - {column: D, row: 6984, expected_value: All persons, label: sex} + - {column: E, row: 6984, expected_value: Self-employed, label: employment type} + - {column: J, row: 6984, expected_value: Value, label: measure} + - {column: L, row: 6985, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6915 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6915, expected_value: E12000006, label: geography} + - {column: D, row: 6915, expected_value: All persons, label: sex} + - {column: E, row: 6915, expected_value: Self-employed, label: employment type} + - {column: J, row: 6915, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6917 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6917, expected_value: E12000006, label: geography} + - {column: D, row: 6917, expected_value: All persons, label: sex} + - {column: E, row: 6917, expected_value: Self-employed, label: employment type} + - {column: J, row: 6917, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6919 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6919, expected_value: E12000006, label: geography} + - {column: D, row: 6919, expected_value: All persons, label: sex} + - {column: E, row: 6919, expected_value: Self-employed, label: employment type} + - {column: J, row: 6919, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6921 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6921, expected_value: E12000006, label: geography} + - {column: D, row: 6921, expected_value: All persons, label: sex} + - {column: E, row: 6921, expected_value: Self-employed, label: employment type} + - {column: J, row: 6921, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6923 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6923, expected_value: E12000006, label: geography} + - {column: D, row: 6923, expected_value: All persons, label: sex} + - {column: E, row: 6923, expected_value: Self-employed, label: employment type} + - {column: J, row: 6923, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6925 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6925, expected_value: E12000006, label: geography} + - {column: D, row: 6925, expected_value: All persons, label: sex} + - {column: E, row: 6925, expected_value: Self-employed, label: employment type} + - {column: J, row: 6925, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6927 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6927, expected_value: E12000006, label: geography} + - {column: D, row: 6927, expected_value: All persons, label: sex} + - {column: E, row: 6927, expected_value: Self-employed, label: employment type} + - {column: J, row: 6927, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6929 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6929, expected_value: E12000006, label: geography} + - {column: D, row: 6929, expected_value: All persons, label: sex} + - {column: E, row: 6929, expected_value: Self-employed, label: employment type} + - {column: J, row: 6929, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6931 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6931, expected_value: E12000006, label: geography} + - {column: D, row: 6931, expected_value: All persons, label: sex} + - {column: E, row: 6931, expected_value: Self-employed, label: employment type} + - {column: J, row: 6931, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6933 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6933, expected_value: E12000006, label: geography} + - {column: D, row: 6933, expected_value: All persons, label: sex} + - {column: E, row: 6933, expected_value: Self-employed, label: employment type} + - {column: J, row: 6933, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6937 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6937, expected_value: E12000006, label: geography} + - {column: D, row: 6937, expected_value: All persons, label: sex} + - {column: E, row: 6937, expected_value: Self-employed, label: employment type} + - {column: J, row: 6937, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6941 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6941, expected_value: E12000006, label: geography} + - {column: D, row: 6941, expected_value: All persons, label: sex} + - {column: E, row: 6941, expected_value: Self-employed, label: employment type} + - {column: J, row: 6941, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6943 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6943, expected_value: E12000006, label: geography} + - {column: D, row: 6943, expected_value: All persons, label: sex} + - {column: E, row: 6943, expected_value: Self-employed, label: employment type} + - {column: J, row: 6943, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6945 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6945, expected_value: E12000006, label: geography} + - {column: D, row: 6945, expected_value: All persons, label: sex} + - {column: E, row: 6945, expected_value: Self-employed, label: employment type} + - {column: J, row: 6945, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6947 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6947, expected_value: E12000006, label: geography} + - {column: D, row: 6947, expected_value: All persons, label: sex} + - {column: E, row: 6947, expected_value: Self-employed, label: employment type} + - {column: J, row: 6947, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6951 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6951, expected_value: E12000006, label: geography} + - {column: D, row: 6951, expected_value: All persons, label: sex} + - {column: E, row: 6951, expected_value: Self-employed, label: employment type} + - {column: J, row: 6951, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6953 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6953, expected_value: E12000006, label: geography} + - {column: D, row: 6953, expected_value: All persons, label: sex} + - {column: E, row: 6953, expected_value: Self-employed, label: employment type} + - {column: J, row: 6953, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6955 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6955, expected_value: E12000006, label: geography} + - {column: D, row: 6955, expected_value: All persons, label: sex} + - {column: E, row: 6955, expected_value: Self-employed, label: employment type} + - {column: J, row: 6955, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6957 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6957, expected_value: E12000006, label: geography} + - {column: D, row: 6957, expected_value: All persons, label: sex} + - {column: E, row: 6957, expected_value: Self-employed, label: employment type} + - {column: J, row: 6957, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6959 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6959, expected_value: E12000006, label: geography} + - {column: D, row: 6959, expected_value: All persons, label: sex} + - {column: E, row: 6959, expected_value: Self-employed, label: employment type} + - {column: J, row: 6959, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6961 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6961, expected_value: E12000006, label: geography} + - {column: D, row: 6961, expected_value: All persons, label: sex} + - {column: E, row: 6961, expected_value: Self-employed, label: employment type} + - {column: J, row: 6961, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6963 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6963, expected_value: E12000006, label: geography} + - {column: D, row: 6963, expected_value: All persons, label: sex} + - {column: E, row: 6963, expected_value: Self-employed, label: employment type} + - {column: J, row: 6963, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6965 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6965, expected_value: E12000006, label: geography} + - {column: D, row: 6965, expected_value: All persons, label: sex} + - {column: E, row: 6965, expected_value: Self-employed, label: employment type} + - {column: J, row: 6965, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6969 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6969, expected_value: E12000006, label: geography} + - {column: D, row: 6969, expected_value: All persons, label: sex} + - {column: E, row: 6969, expected_value: Self-employed, label: employment type} + - {column: J, row: 6969, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6971 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6971, expected_value: E12000006, label: geography} + - {column: D, row: 6971, expected_value: All persons, label: sex} + - {column: E, row: 6971, expected_value: Self-employed, label: employment type} + - {column: J, row: 6971, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6975 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6975, expected_value: E12000006, label: geography} + - {column: D, row: 6975, expected_value: All persons, label: sex} + - {column: E, row: 6975, expected_value: Self-employed, label: employment type} + - {column: J, row: 6975, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6977 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6977, expected_value: E12000006, label: geography} + - {column: D, row: 6977, expected_value: All persons, label: sex} + - {column: E, row: 6977, expected_value: Self-employed, label: employment type} + - {column: J, row: 6977, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6979 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6979, expected_value: E12000006, label: geography} + - {column: D, row: 6979, expected_value: All persons, label: sex} + - {column: E, row: 6979, expected_value: Self-employed, label: employment type} + - {column: J, row: 6979, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6981 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6981, expected_value: E12000006, label: geography} + - {column: D, row: 6981, expected_value: All persons, label: sex} + - {column: E, row: 6981, expected_value: Self-employed, label: employment type} + - {column: J, row: 6981, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6983 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6983, expected_value: E12000006, label: geography} + - {column: D, row: 6983, expected_value: All persons, label: sex} + - {column: E, row: 6983, expected_value: Self-employed, label: employment type} + - {column: J, row: 6983, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6985 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6985, expected_value: E12000006, label: geography} + - {column: D, row: 6985, expected_value: All persons, label: sex} + - {column: E, row: 6985, expected_value: Self-employed, label: employment type} + - {column: J, row: 6985, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6554 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6554, expected_value: E12000006, label: geography} + - {column: D, row: 6554, expected_value: Males, label: sex} + - {column: E, row: 6554, expected_value: Total, label: employment type} + - {column: J, row: 6554, expected_value: Value, label: measure} + - {column: L, row: 6555, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6556 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6556, expected_value: E12000006, label: geography} + - {column: D, row: 6556, expected_value: Males, label: sex} + - {column: E, row: 6556, expected_value: Total, label: employment type} + - {column: J, row: 6556, expected_value: Value, label: measure} + - {column: L, row: 6557, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6558 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6558, expected_value: E12000006, label: geography} + - {column: D, row: 6558, expected_value: Males, label: sex} + - {column: E, row: 6558, expected_value: Total, label: employment type} + - {column: J, row: 6558, expected_value: Value, label: measure} + - {column: L, row: 6559, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6560 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6560, expected_value: E12000006, label: geography} + - {column: D, row: 6560, expected_value: Males, label: sex} + - {column: E, row: 6560, expected_value: Total, label: employment type} + - {column: J, row: 6560, expected_value: Value, label: measure} + - {column: L, row: 6561, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6562 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6562, expected_value: E12000006, label: geography} + - {column: D, row: 6562, expected_value: Males, label: sex} + - {column: E, row: 6562, expected_value: Total, label: employment type} + - {column: J, row: 6562, expected_value: Value, label: measure} + - {column: L, row: 6563, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6564 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6564, expected_value: E12000006, label: geography} + - {column: D, row: 6564, expected_value: Males, label: sex} + - {column: E, row: 6564, expected_value: Total, label: employment type} + - {column: J, row: 6564, expected_value: Value, label: measure} + - {column: L, row: 6565, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6566 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6566, expected_value: E12000006, label: geography} + - {column: D, row: 6566, expected_value: Males, label: sex} + - {column: E, row: 6566, expected_value: Total, label: employment type} + - {column: J, row: 6566, expected_value: Value, label: measure} + - {column: L, row: 6567, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6568 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6568, expected_value: E12000006, label: geography} + - {column: D, row: 6568, expected_value: Males, label: sex} + - {column: E, row: 6568, expected_value: Total, label: employment type} + - {column: J, row: 6568, expected_value: Value, label: measure} + - {column: L, row: 6569, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6570 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6570, expected_value: E12000006, label: geography} + - {column: D, row: 6570, expected_value: Males, label: sex} + - {column: E, row: 6570, expected_value: Total, label: employment type} + - {column: J, row: 6570, expected_value: Value, label: measure} + - {column: L, row: 6571, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6572 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6572, expected_value: E12000006, label: geography} + - {column: D, row: 6572, expected_value: Males, label: sex} + - {column: E, row: 6572, expected_value: Total, label: employment type} + - {column: J, row: 6572, expected_value: Value, label: measure} + - {column: L, row: 6573, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6574 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6574, expected_value: E12000006, label: geography} + - {column: D, row: 6574, expected_value: Males, label: sex} + - {column: E, row: 6574, expected_value: Total, label: employment type} + - {column: J, row: 6574, expected_value: Value, label: measure} + - {column: L, row: 6575, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6576 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6576, expected_value: E12000006, label: geography} + - {column: D, row: 6576, expected_value: Males, label: sex} + - {column: E, row: 6576, expected_value: Total, label: employment type} + - {column: J, row: 6576, expected_value: Value, label: measure} + - {column: L, row: 6577, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6578 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6578, expected_value: E12000006, label: geography} + - {column: D, row: 6578, expected_value: Males, label: sex} + - {column: E, row: 6578, expected_value: Total, label: employment type} + - {column: J, row: 6578, expected_value: Value, label: measure} + - {column: L, row: 6579, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6580 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6580, expected_value: E12000006, label: geography} + - {column: D, row: 6580, expected_value: Males, label: sex} + - {column: E, row: 6580, expected_value: Total, label: employment type} + - {column: J, row: 6580, expected_value: Value, label: measure} + - {column: L, row: 6581, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6582 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6582, expected_value: E12000006, label: geography} + - {column: D, row: 6582, expected_value: Males, label: sex} + - {column: E, row: 6582, expected_value: Total, label: employment type} + - {column: J, row: 6582, expected_value: Value, label: measure} + - {column: L, row: 6583, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6584 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6584, expected_value: E12000006, label: geography} + - {column: D, row: 6584, expected_value: Males, label: sex} + - {column: E, row: 6584, expected_value: Total, label: employment type} + - {column: J, row: 6584, expected_value: Value, label: measure} + - {column: L, row: 6585, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6586 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6586, expected_value: E12000006, label: geography} + - {column: D, row: 6586, expected_value: Males, label: sex} + - {column: E, row: 6586, expected_value: Total, label: employment type} + - {column: J, row: 6586, expected_value: Value, label: measure} + - {column: L, row: 6587, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6588 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6588, expected_value: E12000006, label: geography} + - {column: D, row: 6588, expected_value: Males, label: sex} + - {column: E, row: 6588, expected_value: Total, label: employment type} + - {column: J, row: 6588, expected_value: Value, label: measure} + - {column: L, row: 6589, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6590 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6590, expected_value: E12000006, label: geography} + - {column: D, row: 6590, expected_value: Males, label: sex} + - {column: E, row: 6590, expected_value: Total, label: employment type} + - {column: J, row: 6590, expected_value: Value, label: measure} + - {column: L, row: 6591, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6592 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6592, expected_value: E12000006, label: geography} + - {column: D, row: 6592, expected_value: Males, label: sex} + - {column: E, row: 6592, expected_value: Total, label: employment type} + - {column: J, row: 6592, expected_value: Value, label: measure} + - {column: L, row: 6593, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6594 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6594, expected_value: E12000006, label: geography} + - {column: D, row: 6594, expected_value: Males, label: sex} + - {column: E, row: 6594, expected_value: Total, label: employment type} + - {column: J, row: 6594, expected_value: Value, label: measure} + - {column: L, row: 6595, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6596 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6596, expected_value: E12000006, label: geography} + - {column: D, row: 6596, expected_value: Males, label: sex} + - {column: E, row: 6596, expected_value: Total, label: employment type} + - {column: J, row: 6596, expected_value: Value, label: measure} + - {column: L, row: 6597, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6598 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6598, expected_value: E12000006, label: geography} + - {column: D, row: 6598, expected_value: Males, label: sex} + - {column: E, row: 6598, expected_value: Total, label: employment type} + - {column: J, row: 6598, expected_value: Value, label: measure} + - {column: L, row: 6599, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6600 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6600, expected_value: E12000006, label: geography} + - {column: D, row: 6600, expected_value: Males, label: sex} + - {column: E, row: 6600, expected_value: Total, label: employment type} + - {column: J, row: 6600, expected_value: Value, label: measure} + - {column: L, row: 6601, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6602 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6602, expected_value: E12000006, label: geography} + - {column: D, row: 6602, expected_value: Males, label: sex} + - {column: E, row: 6602, expected_value: Total, label: employment type} + - {column: J, row: 6602, expected_value: Value, label: measure} + - {column: L, row: 6603, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6604 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6604, expected_value: E12000006, label: geography} + - {column: D, row: 6604, expected_value: Males, label: sex} + - {column: E, row: 6604, expected_value: Total, label: employment type} + - {column: J, row: 6604, expected_value: Value, label: measure} + - {column: L, row: 6605, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6606 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6606, expected_value: E12000006, label: geography} + - {column: D, row: 6606, expected_value: Males, label: sex} + - {column: E, row: 6606, expected_value: Total, label: employment type} + - {column: J, row: 6606, expected_value: Value, label: measure} + - {column: L, row: 6607, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6608 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6608, expected_value: E12000006, label: geography} + - {column: D, row: 6608, expected_value: Males, label: sex} + - {column: E, row: 6608, expected_value: Total, label: employment type} + - {column: J, row: 6608, expected_value: Value, label: measure} + - {column: L, row: 6609, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6610 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6610, expected_value: E12000006, label: geography} + - {column: D, row: 6610, expected_value: Males, label: sex} + - {column: E, row: 6610, expected_value: Total, label: employment type} + - {column: J, row: 6610, expected_value: Value, label: measure} + - {column: L, row: 6611, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6612 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6612, expected_value: E12000006, label: geography} + - {column: D, row: 6612, expected_value: Males, label: sex} + - {column: E, row: 6612, expected_value: Total, label: employment type} + - {column: J, row: 6612, expected_value: Value, label: measure} + - {column: L, row: 6613, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6614 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6614, expected_value: E12000006, label: geography} + - {column: D, row: 6614, expected_value: Males, label: sex} + - {column: E, row: 6614, expected_value: Total, label: employment type} + - {column: J, row: 6614, expected_value: Value, label: measure} + - {column: L, row: 6615, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6616 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6616, expected_value: E12000006, label: geography} + - {column: D, row: 6616, expected_value: Males, label: sex} + - {column: E, row: 6616, expected_value: Total, label: employment type} + - {column: J, row: 6616, expected_value: Value, label: measure} + - {column: L, row: 6617, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6618 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6618, expected_value: E12000006, label: geography} + - {column: D, row: 6618, expected_value: Males, label: sex} + - {column: E, row: 6618, expected_value: Total, label: employment type} + - {column: J, row: 6618, expected_value: Value, label: measure} + - {column: L, row: 6619, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6620 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6620, expected_value: E12000006, label: geography} + - {column: D, row: 6620, expected_value: Males, label: sex} + - {column: E, row: 6620, expected_value: Total, label: employment type} + - {column: J, row: 6620, expected_value: Value, label: measure} + - {column: L, row: 6621, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6622 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6622, expected_value: E12000006, label: geography} + - {column: D, row: 6622, expected_value: Males, label: sex} + - {column: E, row: 6622, expected_value: Total, label: employment type} + - {column: J, row: 6622, expected_value: Value, label: measure} + - {column: L, row: 6623, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6624 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6624, expected_value: E12000006, label: geography} + - {column: D, row: 6624, expected_value: Males, label: sex} + - {column: E, row: 6624, expected_value: Total, label: employment type} + - {column: J, row: 6624, expected_value: Value, label: measure} + - {column: L, row: 6625, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6555 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6555, expected_value: E12000006, label: geography} + - {column: D, row: 6555, expected_value: Males, label: sex} + - {column: E, row: 6555, expected_value: Total, label: employment type} + - {column: J, row: 6555, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6557 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6557, expected_value: E12000006, label: geography} + - {column: D, row: 6557, expected_value: Males, label: sex} + - {column: E, row: 6557, expected_value: Total, label: employment type} + - {column: J, row: 6557, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6559 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6559, expected_value: E12000006, label: geography} + - {column: D, row: 6559, expected_value: Males, label: sex} + - {column: E, row: 6559, expected_value: Total, label: employment type} + - {column: J, row: 6559, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6561 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6561, expected_value: E12000006, label: geography} + - {column: D, row: 6561, expected_value: Males, label: sex} + - {column: E, row: 6561, expected_value: Total, label: employment type} + - {column: J, row: 6561, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6563 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6563, expected_value: E12000006, label: geography} + - {column: D, row: 6563, expected_value: Males, label: sex} + - {column: E, row: 6563, expected_value: Total, label: employment type} + - {column: J, row: 6563, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6565 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6565, expected_value: E12000006, label: geography} + - {column: D, row: 6565, expected_value: Males, label: sex} + - {column: E, row: 6565, expected_value: Total, label: employment type} + - {column: J, row: 6565, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6567 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6567, expected_value: E12000006, label: geography} + - {column: D, row: 6567, expected_value: Males, label: sex} + - {column: E, row: 6567, expected_value: Total, label: employment type} + - {column: J, row: 6567, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6569 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6569, expected_value: E12000006, label: geography} + - {column: D, row: 6569, expected_value: Males, label: sex} + - {column: E, row: 6569, expected_value: Total, label: employment type} + - {column: J, row: 6569, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6571 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6571, expected_value: E12000006, label: geography} + - {column: D, row: 6571, expected_value: Males, label: sex} + - {column: E, row: 6571, expected_value: Total, label: employment type} + - {column: J, row: 6571, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6573 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6573, expected_value: E12000006, label: geography} + - {column: D, row: 6573, expected_value: Males, label: sex} + - {column: E, row: 6573, expected_value: Total, label: employment type} + - {column: J, row: 6573, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6575 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6575, expected_value: E12000006, label: geography} + - {column: D, row: 6575, expected_value: Males, label: sex} + - {column: E, row: 6575, expected_value: Total, label: employment type} + - {column: J, row: 6575, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6577 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6577, expected_value: E12000006, label: geography} + - {column: D, row: 6577, expected_value: Males, label: sex} + - {column: E, row: 6577, expected_value: Total, label: employment type} + - {column: J, row: 6577, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6579 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6579, expected_value: E12000006, label: geography} + - {column: D, row: 6579, expected_value: Males, label: sex} + - {column: E, row: 6579, expected_value: Total, label: employment type} + - {column: J, row: 6579, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6581 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6581, expected_value: E12000006, label: geography} + - {column: D, row: 6581, expected_value: Males, label: sex} + - {column: E, row: 6581, expected_value: Total, label: employment type} + - {column: J, row: 6581, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6583 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6583, expected_value: E12000006, label: geography} + - {column: D, row: 6583, expected_value: Males, label: sex} + - {column: E, row: 6583, expected_value: Total, label: employment type} + - {column: J, row: 6583, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6585 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6585, expected_value: E12000006, label: geography} + - {column: D, row: 6585, expected_value: Males, label: sex} + - {column: E, row: 6585, expected_value: Total, label: employment type} + - {column: J, row: 6585, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6587 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6587, expected_value: E12000006, label: geography} + - {column: D, row: 6587, expected_value: Males, label: sex} + - {column: E, row: 6587, expected_value: Total, label: employment type} + - {column: J, row: 6587, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6591 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6591, expected_value: E12000006, label: geography} + - {column: D, row: 6591, expected_value: Males, label: sex} + - {column: E, row: 6591, expected_value: Total, label: employment type} + - {column: J, row: 6591, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6593 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6593, expected_value: E12000006, label: geography} + - {column: D, row: 6593, expected_value: Males, label: sex} + - {column: E, row: 6593, expected_value: Total, label: employment type} + - {column: J, row: 6593, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6595 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6595, expected_value: E12000006, label: geography} + - {column: D, row: 6595, expected_value: Males, label: sex} + - {column: E, row: 6595, expected_value: Total, label: employment type} + - {column: J, row: 6595, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6597 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6597, expected_value: E12000006, label: geography} + - {column: D, row: 6597, expected_value: Males, label: sex} + - {column: E, row: 6597, expected_value: Total, label: employment type} + - {column: J, row: 6597, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6599 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6599, expected_value: E12000006, label: geography} + - {column: D, row: 6599, expected_value: Males, label: sex} + - {column: E, row: 6599, expected_value: Total, label: employment type} + - {column: J, row: 6599, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6601 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6601, expected_value: E12000006, label: geography} + - {column: D, row: 6601, expected_value: Males, label: sex} + - {column: E, row: 6601, expected_value: Total, label: employment type} + - {column: J, row: 6601, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6603 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6603, expected_value: E12000006, label: geography} + - {column: D, row: 6603, expected_value: Males, label: sex} + - {column: E, row: 6603, expected_value: Total, label: employment type} + - {column: J, row: 6603, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6605 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6605, expected_value: E12000006, label: geography} + - {column: D, row: 6605, expected_value: Males, label: sex} + - {column: E, row: 6605, expected_value: Total, label: employment type} + - {column: J, row: 6605, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6609 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6609, expected_value: E12000006, label: geography} + - {column: D, row: 6609, expected_value: Males, label: sex} + - {column: E, row: 6609, expected_value: Total, label: employment type} + - {column: J, row: 6609, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6611 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6611, expected_value: E12000006, label: geography} + - {column: D, row: 6611, expected_value: Males, label: sex} + - {column: E, row: 6611, expected_value: Total, label: employment type} + - {column: J, row: 6611, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6613 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6613, expected_value: E12000006, label: geography} + - {column: D, row: 6613, expected_value: Males, label: sex} + - {column: E, row: 6613, expected_value: Total, label: employment type} + - {column: J, row: 6613, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6615 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6615, expected_value: E12000006, label: geography} + - {column: D, row: 6615, expected_value: Males, label: sex} + - {column: E, row: 6615, expected_value: Total, label: employment type} + - {column: J, row: 6615, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6617 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6617, expected_value: E12000006, label: geography} + - {column: D, row: 6617, expected_value: Males, label: sex} + - {column: E, row: 6617, expected_value: Total, label: employment type} + - {column: J, row: 6617, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6619 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6619, expected_value: E12000006, label: geography} + - {column: D, row: 6619, expected_value: Males, label: sex} + - {column: E, row: 6619, expected_value: Total, label: employment type} + - {column: J, row: 6619, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6621 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6621, expected_value: E12000006, label: geography} + - {column: D, row: 6621, expected_value: Males, label: sex} + - {column: E, row: 6621, expected_value: Total, label: employment type} + - {column: J, row: 6621, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6623 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6623, expected_value: E12000006, label: geography} + - {column: D, row: 6623, expected_value: Males, label: sex} + - {column: E, row: 6623, expected_value: Total, label: employment type} + - {column: J, row: 6623, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6625 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6625, expected_value: E12000006, label: geography} + - {column: D, row: 6625, expected_value: Males, label: sex} + - {column: E, row: 6625, expected_value: Total, label: employment type} + - {column: J, row: 6625, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6770 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6770, expected_value: E12000006, label: geography} + - {column: D, row: 6770, expected_value: Males, label: sex} + - {column: E, row: 6770, expected_value: Employee, label: employment type} + - {column: J, row: 6770, expected_value: Value, label: measure} + - {column: L, row: 6771, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6772 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6772, expected_value: E12000006, label: geography} + - {column: D, row: 6772, expected_value: Males, label: sex} + - {column: E, row: 6772, expected_value: Employee, label: employment type} + - {column: J, row: 6772, expected_value: Value, label: measure} + - {column: L, row: 6773, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6774 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6774, expected_value: E12000006, label: geography} + - {column: D, row: 6774, expected_value: Males, label: sex} + - {column: E, row: 6774, expected_value: Employee, label: employment type} + - {column: J, row: 6774, expected_value: Value, label: measure} + - {column: L, row: 6775, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6776 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6776, expected_value: E12000006, label: geography} + - {column: D, row: 6776, expected_value: Males, label: sex} + - {column: E, row: 6776, expected_value: Employee, label: employment type} + - {column: J, row: 6776, expected_value: Value, label: measure} + - {column: L, row: 6777, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6778 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6778, expected_value: E12000006, label: geography} + - {column: D, row: 6778, expected_value: Males, label: sex} + - {column: E, row: 6778, expected_value: Employee, label: employment type} + - {column: J, row: 6778, expected_value: Value, label: measure} + - {column: L, row: 6779, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6780 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6780, expected_value: E12000006, label: geography} + - {column: D, row: 6780, expected_value: Males, label: sex} + - {column: E, row: 6780, expected_value: Employee, label: employment type} + - {column: J, row: 6780, expected_value: Value, label: measure} + - {column: L, row: 6781, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6782 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6782, expected_value: E12000006, label: geography} + - {column: D, row: 6782, expected_value: Males, label: sex} + - {column: E, row: 6782, expected_value: Employee, label: employment type} + - {column: J, row: 6782, expected_value: Value, label: measure} + - {column: L, row: 6783, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6784 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6784, expected_value: E12000006, label: geography} + - {column: D, row: 6784, expected_value: Males, label: sex} + - {column: E, row: 6784, expected_value: Employee, label: employment type} + - {column: J, row: 6784, expected_value: Value, label: measure} + - {column: L, row: 6785, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6786 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6786, expected_value: E12000006, label: geography} + - {column: D, row: 6786, expected_value: Males, label: sex} + - {column: E, row: 6786, expected_value: Employee, label: employment type} + - {column: J, row: 6786, expected_value: Value, label: measure} + - {column: L, row: 6787, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6788 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6788, expected_value: E12000006, label: geography} + - {column: D, row: 6788, expected_value: Males, label: sex} + - {column: E, row: 6788, expected_value: Employee, label: employment type} + - {column: J, row: 6788, expected_value: Value, label: measure} + - {column: L, row: 6789, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6790 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6790, expected_value: E12000006, label: geography} + - {column: D, row: 6790, expected_value: Males, label: sex} + - {column: E, row: 6790, expected_value: Employee, label: employment type} + - {column: J, row: 6790, expected_value: Value, label: measure} + - {column: L, row: 6791, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6792 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6792, expected_value: E12000006, label: geography} + - {column: D, row: 6792, expected_value: Males, label: sex} + - {column: E, row: 6792, expected_value: Employee, label: employment type} + - {column: J, row: 6792, expected_value: Value, label: measure} + - {column: L, row: 6793, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6794 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6794, expected_value: E12000006, label: geography} + - {column: D, row: 6794, expected_value: Males, label: sex} + - {column: E, row: 6794, expected_value: Employee, label: employment type} + - {column: J, row: 6794, expected_value: Value, label: measure} + - {column: L, row: 6795, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6796 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6796, expected_value: E12000006, label: geography} + - {column: D, row: 6796, expected_value: Males, label: sex} + - {column: E, row: 6796, expected_value: Employee, label: employment type} + - {column: J, row: 6796, expected_value: Value, label: measure} + - {column: L, row: 6797, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6798 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6798, expected_value: E12000006, label: geography} + - {column: D, row: 6798, expected_value: Males, label: sex} + - {column: E, row: 6798, expected_value: Employee, label: employment type} + - {column: J, row: 6798, expected_value: Value, label: measure} + - {column: L, row: 6799, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6800 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6800, expected_value: E12000006, label: geography} + - {column: D, row: 6800, expected_value: Males, label: sex} + - {column: E, row: 6800, expected_value: Employee, label: employment type} + - {column: J, row: 6800, expected_value: Value, label: measure} + - {column: L, row: 6801, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6802 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6802, expected_value: E12000006, label: geography} + - {column: D, row: 6802, expected_value: Males, label: sex} + - {column: E, row: 6802, expected_value: Employee, label: employment type} + - {column: J, row: 6802, expected_value: Value, label: measure} + - {column: L, row: 6803, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6804 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6804, expected_value: E12000006, label: geography} + - {column: D, row: 6804, expected_value: Males, label: sex} + - {column: E, row: 6804, expected_value: Employee, label: employment type} + - {column: J, row: 6804, expected_value: Value, label: measure} + - {column: L, row: 6805, expected_value: F, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6806 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6806, expected_value: E12000006, label: geography} + - {column: D, row: 6806, expected_value: Males, label: sex} + - {column: E, row: 6806, expected_value: Employee, label: employment type} + - {column: J, row: 6806, expected_value: Value, label: measure} + - {column: L, row: 6807, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6808 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6808, expected_value: E12000006, label: geography} + - {column: D, row: 6808, expected_value: Males, label: sex} + - {column: E, row: 6808, expected_value: Employee, label: employment type} + - {column: J, row: 6808, expected_value: Value, label: measure} + - {column: L, row: 6809, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6810 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6810, expected_value: E12000006, label: geography} + - {column: D, row: 6810, expected_value: Males, label: sex} + - {column: E, row: 6810, expected_value: Employee, label: employment type} + - {column: J, row: 6810, expected_value: Value, label: measure} + - {column: L, row: 6811, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6812 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6812, expected_value: E12000006, label: geography} + - {column: D, row: 6812, expected_value: Males, label: sex} + - {column: E, row: 6812, expected_value: Employee, label: employment type} + - {column: J, row: 6812, expected_value: Value, label: measure} + - {column: L, row: 6813, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6814 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6814, expected_value: E12000006, label: geography} + - {column: D, row: 6814, expected_value: Males, label: sex} + - {column: E, row: 6814, expected_value: Employee, label: employment type} + - {column: J, row: 6814, expected_value: Value, label: measure} + - {column: L, row: 6815, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6816 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6816, expected_value: E12000006, label: geography} + - {column: D, row: 6816, expected_value: Males, label: sex} + - {column: E, row: 6816, expected_value: Employee, label: employment type} + - {column: J, row: 6816, expected_value: Value, label: measure} + - {column: L, row: 6817, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6818 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6818, expected_value: E12000006, label: geography} + - {column: D, row: 6818, expected_value: Males, label: sex} + - {column: E, row: 6818, expected_value: Employee, label: employment type} + - {column: J, row: 6818, expected_value: Value, label: measure} + - {column: L, row: 6819, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6820 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6820, expected_value: E12000006, label: geography} + - {column: D, row: 6820, expected_value: Males, label: sex} + - {column: E, row: 6820, expected_value: Employee, label: employment type} + - {column: J, row: 6820, expected_value: Value, label: measure} + - {column: L, row: 6821, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 6822 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 6822, expected_value: E12000006, label: geography} + - {column: D, row: 6822, expected_value: Males, label: sex} + - {column: E, row: 6822, expected_value: Employee, label: employment type} + - {column: J, row: 6822, expected_value: Value, label: measure} + - {column: L, row: 6823, expected_value: F, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6824 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6824, expected_value: E12000006, label: geography} + - {column: D, row: 6824, expected_value: Males, label: sex} + - {column: E, row: 6824, expected_value: Employee, label: employment type} + - {column: J, row: 6824, expected_value: Value, label: measure} + - {column: L, row: 6825, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6826 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6826, expected_value: E12000006, label: geography} + - {column: D, row: 6826, expected_value: Males, label: sex} + - {column: E, row: 6826, expected_value: Employee, label: employment type} + - {column: J, row: 6826, expected_value: Value, label: measure} + - {column: L, row: 6827, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6828 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6828, expected_value: E12000006, label: geography} + - {column: D, row: 6828, expected_value: Males, label: sex} + - {column: E, row: 6828, expected_value: Employee, label: employment type} + - {column: J, row: 6828, expected_value: Value, label: measure} + - {column: L, row: 6829, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6830 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6830, expected_value: E12000006, label: geography} + - {column: D, row: 6830, expected_value: Males, label: sex} + - {column: E, row: 6830, expected_value: Employee, label: employment type} + - {column: J, row: 6830, expected_value: Value, label: measure} + - {column: L, row: 6831, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6832 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6832, expected_value: E12000006, label: geography} + - {column: D, row: 6832, expected_value: Males, label: sex} + - {column: E, row: 6832, expected_value: Employee, label: employment type} + - {column: J, row: 6832, expected_value: Value, label: measure} + - {column: L, row: 6833, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6834 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6834, expected_value: E12000006, label: geography} + - {column: D, row: 6834, expected_value: Males, label: sex} + - {column: E, row: 6834, expected_value: Employee, label: employment type} + - {column: J, row: 6834, expected_value: Value, label: measure} + - {column: L, row: 6835, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6836 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6836, expected_value: E12000006, label: geography} + - {column: D, row: 6836, expected_value: Males, label: sex} + - {column: E, row: 6836, expected_value: Employee, label: employment type} + - {column: J, row: 6836, expected_value: Value, label: measure} + - {column: L, row: 6837, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6838 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6838, expected_value: E12000006, label: geography} + - {column: D, row: 6838, expected_value: Males, label: sex} + - {column: E, row: 6838, expected_value: Employee, label: employment type} + - {column: J, row: 6838, expected_value: Value, label: measure} + - {column: L, row: 6839, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6840 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6840, expected_value: E12000006, label: geography} + - {column: D, row: 6840, expected_value: Males, label: sex} + - {column: E, row: 6840, expected_value: Employee, label: employment type} + - {column: J, row: 6840, expected_value: Value, label: measure} + - {column: L, row: 6841, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6771 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6771, expected_value: E12000006, label: geography} + - {column: D, row: 6771, expected_value: Males, label: sex} + - {column: E, row: 6771, expected_value: Employee, label: employment type} + - {column: J, row: 6771, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6773 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6773, expected_value: E12000006, label: geography} + - {column: D, row: 6773, expected_value: Males, label: sex} + - {column: E, row: 6773, expected_value: Employee, label: employment type} + - {column: J, row: 6773, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6775 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6775, expected_value: E12000006, label: geography} + - {column: D, row: 6775, expected_value: Males, label: sex} + - {column: E, row: 6775, expected_value: Employee, label: employment type} + - {column: J, row: 6775, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6777 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6777, expected_value: E12000006, label: geography} + - {column: D, row: 6777, expected_value: Males, label: sex} + - {column: E, row: 6777, expected_value: Employee, label: employment type} + - {column: J, row: 6777, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6779 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6779, expected_value: E12000006, label: geography} + - {column: D, row: 6779, expected_value: Males, label: sex} + - {column: E, row: 6779, expected_value: Employee, label: employment type} + - {column: J, row: 6779, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6781 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6781, expected_value: E12000006, label: geography} + - {column: D, row: 6781, expected_value: Males, label: sex} + - {column: E, row: 6781, expected_value: Employee, label: employment type} + - {column: J, row: 6781, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6783 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6783, expected_value: E12000006, label: geography} + - {column: D, row: 6783, expected_value: Males, label: sex} + - {column: E, row: 6783, expected_value: Employee, label: employment type} + - {column: J, row: 6783, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6785 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6785, expected_value: E12000006, label: geography} + - {column: D, row: 6785, expected_value: Males, label: sex} + - {column: E, row: 6785, expected_value: Employee, label: employment type} + - {column: J, row: 6785, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6787 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6787, expected_value: E12000006, label: geography} + - {column: D, row: 6787, expected_value: Males, label: sex} + - {column: E, row: 6787, expected_value: Employee, label: employment type} + - {column: J, row: 6787, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6789 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6789, expected_value: E12000006, label: geography} + - {column: D, row: 6789, expected_value: Males, label: sex} + - {column: E, row: 6789, expected_value: Employee, label: employment type} + - {column: J, row: 6789, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6791 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6791, expected_value: E12000006, label: geography} + - {column: D, row: 6791, expected_value: Males, label: sex} + - {column: E, row: 6791, expected_value: Employee, label: employment type} + - {column: J, row: 6791, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6793 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6793, expected_value: E12000006, label: geography} + - {column: D, row: 6793, expected_value: Males, label: sex} + - {column: E, row: 6793, expected_value: Employee, label: employment type} + - {column: J, row: 6793, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6795 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6795, expected_value: E12000006, label: geography} + - {column: D, row: 6795, expected_value: Males, label: sex} + - {column: E, row: 6795, expected_value: Employee, label: employment type} + - {column: J, row: 6795, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6797 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6797, expected_value: E12000006, label: geography} + - {column: D, row: 6797, expected_value: Males, label: sex} + - {column: E, row: 6797, expected_value: Employee, label: employment type} + - {column: J, row: 6797, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6799 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6799, expected_value: E12000006, label: geography} + - {column: D, row: 6799, expected_value: Males, label: sex} + - {column: E, row: 6799, expected_value: Employee, label: employment type} + - {column: J, row: 6799, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6801 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6801, expected_value: E12000006, label: geography} + - {column: D, row: 6801, expected_value: Males, label: sex} + - {column: E, row: 6801, expected_value: Employee, label: employment type} + - {column: J, row: 6801, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6803 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6803, expected_value: E12000006, label: geography} + - {column: D, row: 6803, expected_value: Males, label: sex} + - {column: E, row: 6803, expected_value: Employee, label: employment type} + - {column: J, row: 6803, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6807 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6807, expected_value: E12000006, label: geography} + - {column: D, row: 6807, expected_value: Males, label: sex} + - {column: E, row: 6807, expected_value: Employee, label: employment type} + - {column: J, row: 6807, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6809 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6809, expected_value: E12000006, label: geography} + - {column: D, row: 6809, expected_value: Males, label: sex} + - {column: E, row: 6809, expected_value: Employee, label: employment type} + - {column: J, row: 6809, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6811 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6811, expected_value: E12000006, label: geography} + - {column: D, row: 6811, expected_value: Males, label: sex} + - {column: E, row: 6811, expected_value: Employee, label: employment type} + - {column: J, row: 6811, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6813 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6813, expected_value: E12000006, label: geography} + - {column: D, row: 6813, expected_value: Males, label: sex} + - {column: E, row: 6813, expected_value: Employee, label: employment type} + - {column: J, row: 6813, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6815 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6815, expected_value: E12000006, label: geography} + - {column: D, row: 6815, expected_value: Males, label: sex} + - {column: E, row: 6815, expected_value: Employee, label: employment type} + - {column: J, row: 6815, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6817 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6817, expected_value: E12000006, label: geography} + - {column: D, row: 6817, expected_value: Males, label: sex} + - {column: E, row: 6817, expected_value: Employee, label: employment type} + - {column: J, row: 6817, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6819 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6819, expected_value: E12000006, label: geography} + - {column: D, row: 6819, expected_value: Males, label: sex} + - {column: E, row: 6819, expected_value: Employee, label: employment type} + - {column: J, row: 6819, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6821 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6821, expected_value: E12000006, label: geography} + - {column: D, row: 6821, expected_value: Males, label: sex} + - {column: E, row: 6821, expected_value: Employee, label: employment type} + - {column: J, row: 6821, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6825 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6825, expected_value: E12000006, label: geography} + - {column: D, row: 6825, expected_value: Males, label: sex} + - {column: E, row: 6825, expected_value: Employee, label: employment type} + - {column: J, row: 6825, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6827 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6827, expected_value: E12000006, label: geography} + - {column: D, row: 6827, expected_value: Males, label: sex} + - {column: E, row: 6827, expected_value: Employee, label: employment type} + - {column: J, row: 6827, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6829 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6829, expected_value: E12000006, label: geography} + - {column: D, row: 6829, expected_value: Males, label: sex} + - {column: E, row: 6829, expected_value: Employee, label: employment type} + - {column: J, row: 6829, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6831 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6831, expected_value: E12000006, label: geography} + - {column: D, row: 6831, expected_value: Males, label: sex} + - {column: E, row: 6831, expected_value: Employee, label: employment type} + - {column: J, row: 6831, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6833 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6833, expected_value: E12000006, label: geography} + - {column: D, row: 6833, expected_value: Males, label: sex} + - {column: E, row: 6833, expected_value: Employee, label: employment type} + - {column: J, row: 6833, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6835 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6835, expected_value: E12000006, label: geography} + - {column: D, row: 6835, expected_value: Males, label: sex} + - {column: E, row: 6835, expected_value: Employee, label: employment type} + - {column: J, row: 6835, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6837 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6837, expected_value: E12000006, label: geography} + - {column: D, row: 6837, expected_value: Males, label: sex} + - {column: E, row: 6837, expected_value: Employee, label: employment type} + - {column: J, row: 6837, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6839 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6839, expected_value: E12000006, label: geography} + - {column: D, row: 6839, expected_value: Males, label: sex} + - {column: E, row: 6839, expected_value: Employee, label: employment type} + - {column: J, row: 6839, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6841 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6841, expected_value: E12000006, label: geography} + - {column: D, row: 6841, expected_value: Males, label: sex} + - {column: E, row: 6841, expected_value: Employee, label: employment type} + - {column: J, row: 6841, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6986 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6986, expected_value: E12000006, label: geography} + - {column: D, row: 6986, expected_value: Males, label: sex} + - {column: E, row: 6986, expected_value: Self-employed, label: employment type} + - {column: J, row: 6986, expected_value: Value, label: measure} + - {column: L, row: 6987, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6988 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6988, expected_value: E12000006, label: geography} + - {column: D, row: 6988, expected_value: Males, label: sex} + - {column: E, row: 6988, expected_value: Self-employed, label: employment type} + - {column: J, row: 6988, expected_value: Value, label: measure} + - {column: L, row: 6989, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6990 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6990, expected_value: E12000006, label: geography} + - {column: D, row: 6990, expected_value: Males, label: sex} + - {column: E, row: 6990, expected_value: Self-employed, label: employment type} + - {column: J, row: 6990, expected_value: Value, label: measure} + - {column: L, row: 6991, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6992 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6992, expected_value: E12000006, label: geography} + - {column: D, row: 6992, expected_value: Males, label: sex} + - {column: E, row: 6992, expected_value: Self-employed, label: employment type} + - {column: J, row: 6992, expected_value: Value, label: measure} + - {column: L, row: 6993, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6994 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6994, expected_value: E12000006, label: geography} + - {column: D, row: 6994, expected_value: Males, label: sex} + - {column: E, row: 6994, expected_value: Self-employed, label: employment type} + - {column: J, row: 6994, expected_value: Value, label: measure} + - {column: L, row: 6995, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6996 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6996, expected_value: E12000006, label: geography} + - {column: D, row: 6996, expected_value: Males, label: sex} + - {column: E, row: 6996, expected_value: Self-employed, label: employment type} + - {column: J, row: 6996, expected_value: Value, label: measure} + - {column: L, row: 6997, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6998 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6998, expected_value: E12000006, label: geography} + - {column: D, row: 6998, expected_value: Males, label: sex} + - {column: E, row: 6998, expected_value: Self-employed, label: employment type} + - {column: J, row: 6998, expected_value: Value, label: measure} + - {column: L, row: 6999, expected_value: G, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7000 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7000, expected_value: E12000006, label: geography} + - {column: D, row: 7000, expected_value: Males, label: sex} + - {column: E, row: 7000, expected_value: Self-employed, label: employment type} + - {column: J, row: 7000, expected_value: Value, label: measure} + - {column: L, row: 7001, expected_value: G, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7002 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7002, expected_value: E12000006, label: geography} + - {column: D, row: 7002, expected_value: Males, label: sex} + - {column: E, row: 7002, expected_value: Self-employed, label: employment type} + - {column: J, row: 7002, expected_value: Value, label: measure} + - {column: L, row: 7003, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7004 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7004, expected_value: E12000006, label: geography} + - {column: D, row: 7004, expected_value: Males, label: sex} + - {column: E, row: 7004, expected_value: Self-employed, label: employment type} + - {column: J, row: 7004, expected_value: Value, label: measure} + - {column: L, row: 7005, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7006 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7006, expected_value: E12000006, label: geography} + - {column: D, row: 7006, expected_value: Males, label: sex} + - {column: E, row: 7006, expected_value: Self-employed, label: employment type} + - {column: J, row: 7006, expected_value: Value, label: measure} + - {column: L, row: 7007, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7008 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7008, expected_value: E12000006, label: geography} + - {column: D, row: 7008, expected_value: Males, label: sex} + - {column: E, row: 7008, expected_value: Self-employed, label: employment type} + - {column: J, row: 7008, expected_value: Value, label: measure} + - {column: L, row: 7009, expected_value: F, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7010 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7010, expected_value: E12000006, label: geography} + - {column: D, row: 7010, expected_value: Males, label: sex} + - {column: E, row: 7010, expected_value: Self-employed, label: employment type} + - {column: J, row: 7010, expected_value: Value, label: measure} + - {column: L, row: 7011, expected_value: F, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7012 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7012, expected_value: E12000006, label: geography} + - {column: D, row: 7012, expected_value: Males, label: sex} + - {column: E, row: 7012, expected_value: Self-employed, label: employment type} + - {column: J, row: 7012, expected_value: Value, label: measure} + - {column: L, row: 7013, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7014 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7014, expected_value: E12000006, label: geography} + - {column: D, row: 7014, expected_value: Males, label: sex} + - {column: E, row: 7014, expected_value: Self-employed, label: employment type} + - {column: J, row: 7014, expected_value: Value, label: measure} + - {column: L, row: 7015, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7016 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7016, expected_value: E12000006, label: geography} + - {column: D, row: 7016, expected_value: Males, label: sex} + - {column: E, row: 7016, expected_value: Self-employed, label: employment type} + - {column: J, row: 7016, expected_value: Value, label: measure} + - {column: L, row: 7017, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7018 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7018, expected_value: E12000006, label: geography} + - {column: D, row: 7018, expected_value: Males, label: sex} + - {column: E, row: 7018, expected_value: Self-employed, label: employment type} + - {column: J, row: 7018, expected_value: Value, label: measure} + - {column: L, row: 7019, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7022 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7022, expected_value: E12000006, label: geography} + - {column: D, row: 7022, expected_value: Males, label: sex} + - {column: E, row: 7022, expected_value: Self-employed, label: employment type} + - {column: J, row: 7022, expected_value: Value, label: measure} + - {column: L, row: 7023, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7024 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7024, expected_value: E12000006, label: geography} + - {column: D, row: 7024, expected_value: Males, label: sex} + - {column: E, row: 7024, expected_value: Self-employed, label: employment type} + - {column: J, row: 7024, expected_value: Value, label: measure} + - {column: L, row: 7025, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7026 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7026, expected_value: E12000006, label: geography} + - {column: D, row: 7026, expected_value: Males, label: sex} + - {column: E, row: 7026, expected_value: Self-employed, label: employment type} + - {column: J, row: 7026, expected_value: Value, label: measure} + - {column: L, row: 7027, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7028 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7028, expected_value: E12000006, label: geography} + - {column: D, row: 7028, expected_value: Males, label: sex} + - {column: E, row: 7028, expected_value: Self-employed, label: employment type} + - {column: J, row: 7028, expected_value: Value, label: measure} + - {column: L, row: 7029, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7030 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7030, expected_value: E12000006, label: geography} + - {column: D, row: 7030, expected_value: Males, label: sex} + - {column: E, row: 7030, expected_value: Self-employed, label: employment type} + - {column: J, row: 7030, expected_value: Value, label: measure} + - {column: L, row: 7031, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7032 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7032, expected_value: E12000006, label: geography} + - {column: D, row: 7032, expected_value: Males, label: sex} + - {column: E, row: 7032, expected_value: Self-employed, label: employment type} + - {column: J, row: 7032, expected_value: Value, label: measure} + - {column: L, row: 7033, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7034 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7034, expected_value: E12000006, label: geography} + - {column: D, row: 7034, expected_value: Males, label: sex} + - {column: E, row: 7034, expected_value: Self-employed, label: employment type} + - {column: J, row: 7034, expected_value: Value, label: measure} + - {column: L, row: 7035, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7036 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7036, expected_value: E12000006, label: geography} + - {column: D, row: 7036, expected_value: Males, label: sex} + - {column: E, row: 7036, expected_value: Self-employed, label: employment type} + - {column: J, row: 7036, expected_value: Value, label: measure} + - {column: L, row: 7037, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7040 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7040, expected_value: E12000006, label: geography} + - {column: D, row: 7040, expected_value: Males, label: sex} + - {column: E, row: 7040, expected_value: Self-employed, label: employment type} + - {column: J, row: 7040, expected_value: Value, label: measure} + - {column: L, row: 7041, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7042 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7042, expected_value: E12000006, label: geography} + - {column: D, row: 7042, expected_value: Males, label: sex} + - {column: E, row: 7042, expected_value: Self-employed, label: employment type} + - {column: J, row: 7042, expected_value: Value, label: measure} + - {column: L, row: 7043, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7046 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7046, expected_value: E12000006, label: geography} + - {column: D, row: 7046, expected_value: Males, label: sex} + - {column: E, row: 7046, expected_value: Self-employed, label: employment type} + - {column: J, row: 7046, expected_value: Value, label: measure} + - {column: L, row: 7047, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7048 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7048, expected_value: E12000006, label: geography} + - {column: D, row: 7048, expected_value: Males, label: sex} + - {column: E, row: 7048, expected_value: Self-employed, label: employment type} + - {column: J, row: 7048, expected_value: Value, label: measure} + - {column: L, row: 7049, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7050 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7050, expected_value: E12000006, label: geography} + - {column: D, row: 7050, expected_value: Males, label: sex} + - {column: E, row: 7050, expected_value: Self-employed, label: employment type} + - {column: J, row: 7050, expected_value: Value, label: measure} + - {column: L, row: 7051, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7052 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7052, expected_value: E12000006, label: geography} + - {column: D, row: 7052, expected_value: Males, label: sex} + - {column: E, row: 7052, expected_value: Self-employed, label: employment type} + - {column: J, row: 7052, expected_value: Value, label: measure} + - {column: L, row: 7053, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7054 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7054, expected_value: E12000006, label: geography} + - {column: D, row: 7054, expected_value: Males, label: sex} + - {column: E, row: 7054, expected_value: Self-employed, label: employment type} + - {column: J, row: 7054, expected_value: Value, label: measure} + - {column: L, row: 7055, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7056 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7056, expected_value: E12000006, label: geography} + - {column: D, row: 7056, expected_value: Males, label: sex} + - {column: E, row: 7056, expected_value: Self-employed, label: employment type} + - {column: J, row: 7056, expected_value: Value, label: measure} + - {column: L, row: 7057, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6987 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6987, expected_value: E12000006, label: geography} + - {column: D, row: 6987, expected_value: Males, label: sex} + - {column: E, row: 6987, expected_value: Self-employed, label: employment type} + - {column: J, row: 6987, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6989 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6989, expected_value: E12000006, label: geography} + - {column: D, row: 6989, expected_value: Males, label: sex} + - {column: E, row: 6989, expected_value: Self-employed, label: employment type} + - {column: J, row: 6989, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6991 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6991, expected_value: E12000006, label: geography} + - {column: D, row: 6991, expected_value: Males, label: sex} + - {column: E, row: 6991, expected_value: Self-employed, label: employment type} + - {column: J, row: 6991, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6993 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6993, expected_value: E12000006, label: geography} + - {column: D, row: 6993, expected_value: Males, label: sex} + - {column: E, row: 6993, expected_value: Self-employed, label: employment type} + - {column: J, row: 6993, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6995 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6995, expected_value: E12000006, label: geography} + - {column: D, row: 6995, expected_value: Males, label: sex} + - {column: E, row: 6995, expected_value: Self-employed, label: employment type} + - {column: J, row: 6995, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6997 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6997, expected_value: E12000006, label: geography} + - {column: D, row: 6997, expected_value: Males, label: sex} + - {column: E, row: 6997, expected_value: Self-employed, label: employment type} + - {column: J, row: 6997, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7003 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7003, expected_value: E12000006, label: geography} + - {column: D, row: 7003, expected_value: Males, label: sex} + - {column: E, row: 7003, expected_value: Self-employed, label: employment type} + - {column: J, row: 7003, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7005 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7005, expected_value: E12000006, label: geography} + - {column: D, row: 7005, expected_value: Males, label: sex} + - {column: E, row: 7005, expected_value: Self-employed, label: employment type} + - {column: J, row: 7005, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7013 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7013, expected_value: E12000006, label: geography} + - {column: D, row: 7013, expected_value: Males, label: sex} + - {column: E, row: 7013, expected_value: Self-employed, label: employment type} + - {column: J, row: 7013, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7015 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7015, expected_value: E12000006, label: geography} + - {column: D, row: 7015, expected_value: Males, label: sex} + - {column: E, row: 7015, expected_value: Self-employed, label: employment type} + - {column: J, row: 7015, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7023 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7023, expected_value: E12000006, label: geography} + - {column: D, row: 7023, expected_value: Males, label: sex} + - {column: E, row: 7023, expected_value: Self-employed, label: employment type} + - {column: J, row: 7023, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7025 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7025, expected_value: E12000006, label: geography} + - {column: D, row: 7025, expected_value: Males, label: sex} + - {column: E, row: 7025, expected_value: Self-employed, label: employment type} + - {column: J, row: 7025, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7027 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7027, expected_value: E12000006, label: geography} + - {column: D, row: 7027, expected_value: Males, label: sex} + - {column: E, row: 7027, expected_value: Self-employed, label: employment type} + - {column: J, row: 7027, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7029 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7029, expected_value: E12000006, label: geography} + - {column: D, row: 7029, expected_value: Males, label: sex} + - {column: E, row: 7029, expected_value: Self-employed, label: employment type} + - {column: J, row: 7029, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7031 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7031, expected_value: E12000006, label: geography} + - {column: D, row: 7031, expected_value: Males, label: sex} + - {column: E, row: 7031, expected_value: Self-employed, label: employment type} + - {column: J, row: 7031, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7033 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7033, expected_value: E12000006, label: geography} + - {column: D, row: 7033, expected_value: Males, label: sex} + - {column: E, row: 7033, expected_value: Self-employed, label: employment type} + - {column: J, row: 7033, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7041 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7041, expected_value: E12000006, label: geography} + - {column: D, row: 7041, expected_value: Males, label: sex} + - {column: E, row: 7041, expected_value: Self-employed, label: employment type} + - {column: J, row: 7041, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7043 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7043, expected_value: E12000006, label: geography} + - {column: D, row: 7043, expected_value: Males, label: sex} + - {column: E, row: 7043, expected_value: Self-employed, label: employment type} + - {column: J, row: 7043, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7047 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7047, expected_value: E12000006, label: geography} + - {column: D, row: 7047, expected_value: Males, label: sex} + - {column: E, row: 7047, expected_value: Self-employed, label: employment type} + - {column: J, row: 7047, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7049 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7049, expected_value: E12000006, label: geography} + - {column: D, row: 7049, expected_value: Males, label: sex} + - {column: E, row: 7049, expected_value: Self-employed, label: employment type} + - {column: J, row: 7049, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7051 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7051, expected_value: E12000006, label: geography} + - {column: D, row: 7051, expected_value: Males, label: sex} + - {column: E, row: 7051, expected_value: Self-employed, label: employment type} + - {column: J, row: 7051, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7053 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7053, expected_value: E12000006, label: geography} + - {column: D, row: 7053, expected_value: Males, label: sex} + - {column: E, row: 7053, expected_value: Self-employed, label: employment type} + - {column: J, row: 7053, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7055 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7055, expected_value: E12000006, label: geography} + - {column: D, row: 7055, expected_value: Males, label: sex} + - {column: E, row: 7055, expected_value: Self-employed, label: employment type} + - {column: J, row: 7055, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7057 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7057, expected_value: E12000006, label: geography} + - {column: D, row: 7057, expected_value: Males, label: sex} + - {column: E, row: 7057, expected_value: Self-employed, label: employment type} + - {column: J, row: 7057, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6626 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6626, expected_value: E12000006, label: geography} + - {column: D, row: 6626, expected_value: Females, label: sex} + - {column: E, row: 6626, expected_value: Total, label: employment type} + - {column: J, row: 6626, expected_value: Value, label: measure} + - {column: L, row: 6627, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6628 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6628, expected_value: E12000006, label: geography} + - {column: D, row: 6628, expected_value: Females, label: sex} + - {column: E, row: 6628, expected_value: Total, label: employment type} + - {column: J, row: 6628, expected_value: Value, label: measure} + - {column: L, row: 6629, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6630 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6630, expected_value: E12000006, label: geography} + - {column: D, row: 6630, expected_value: Females, label: sex} + - {column: E, row: 6630, expected_value: Total, label: employment type} + - {column: J, row: 6630, expected_value: Value, label: measure} + - {column: L, row: 6631, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6632 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6632, expected_value: E12000006, label: geography} + - {column: D, row: 6632, expected_value: Females, label: sex} + - {column: E, row: 6632, expected_value: Total, label: employment type} + - {column: J, row: 6632, expected_value: Value, label: measure} + - {column: L, row: 6633, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6634 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6634, expected_value: E12000006, label: geography} + - {column: D, row: 6634, expected_value: Females, label: sex} + - {column: E, row: 6634, expected_value: Total, label: employment type} + - {column: J, row: 6634, expected_value: Value, label: measure} + - {column: L, row: 6635, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6636 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6636, expected_value: E12000006, label: geography} + - {column: D, row: 6636, expected_value: Females, label: sex} + - {column: E, row: 6636, expected_value: Total, label: employment type} + - {column: J, row: 6636, expected_value: Value, label: measure} + - {column: L, row: 6637, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6638 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6638, expected_value: E12000006, label: geography} + - {column: D, row: 6638, expected_value: Females, label: sex} + - {column: E, row: 6638, expected_value: Total, label: employment type} + - {column: J, row: 6638, expected_value: Value, label: measure} + - {column: L, row: 6639, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6640 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6640, expected_value: E12000006, label: geography} + - {column: D, row: 6640, expected_value: Females, label: sex} + - {column: E, row: 6640, expected_value: Total, label: employment type} + - {column: J, row: 6640, expected_value: Value, label: measure} + - {column: L, row: 6641, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6642 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6642, expected_value: E12000006, label: geography} + - {column: D, row: 6642, expected_value: Females, label: sex} + - {column: E, row: 6642, expected_value: Total, label: employment type} + - {column: J, row: 6642, expected_value: Value, label: measure} + - {column: L, row: 6643, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6644 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6644, expected_value: E12000006, label: geography} + - {column: D, row: 6644, expected_value: Females, label: sex} + - {column: E, row: 6644, expected_value: Total, label: employment type} + - {column: J, row: 6644, expected_value: Value, label: measure} + - {column: L, row: 6645, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6646 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6646, expected_value: E12000006, label: geography} + - {column: D, row: 6646, expected_value: Females, label: sex} + - {column: E, row: 6646, expected_value: Total, label: employment type} + - {column: J, row: 6646, expected_value: Value, label: measure} + - {column: L, row: 6647, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6648 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6648, expected_value: E12000006, label: geography} + - {column: D, row: 6648, expected_value: Females, label: sex} + - {column: E, row: 6648, expected_value: Total, label: employment type} + - {column: J, row: 6648, expected_value: Value, label: measure} + - {column: L, row: 6649, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6650 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6650, expected_value: E12000006, label: geography} + - {column: D, row: 6650, expected_value: Females, label: sex} + - {column: E, row: 6650, expected_value: Total, label: employment type} + - {column: J, row: 6650, expected_value: Value, label: measure} + - {column: L, row: 6651, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6652 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6652, expected_value: E12000006, label: geography} + - {column: D, row: 6652, expected_value: Females, label: sex} + - {column: E, row: 6652, expected_value: Total, label: employment type} + - {column: J, row: 6652, expected_value: Value, label: measure} + - {column: L, row: 6653, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6654 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6654, expected_value: E12000006, label: geography} + - {column: D, row: 6654, expected_value: Females, label: sex} + - {column: E, row: 6654, expected_value: Total, label: employment type} + - {column: J, row: 6654, expected_value: Value, label: measure} + - {column: L, row: 6655, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6656 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6656, expected_value: E12000006, label: geography} + - {column: D, row: 6656, expected_value: Females, label: sex} + - {column: E, row: 6656, expected_value: Total, label: employment type} + - {column: J, row: 6656, expected_value: Value, label: measure} + - {column: L, row: 6657, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6658 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6658, expected_value: E12000006, label: geography} + - {column: D, row: 6658, expected_value: Females, label: sex} + - {column: E, row: 6658, expected_value: Total, label: employment type} + - {column: J, row: 6658, expected_value: Value, label: measure} + - {column: L, row: 6659, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6660 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6660, expected_value: E12000006, label: geography} + - {column: D, row: 6660, expected_value: Females, label: sex} + - {column: E, row: 6660, expected_value: Total, label: employment type} + - {column: J, row: 6660, expected_value: Value, label: measure} + - {column: L, row: 6661, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6662 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6662, expected_value: E12000006, label: geography} + - {column: D, row: 6662, expected_value: Females, label: sex} + - {column: E, row: 6662, expected_value: Total, label: employment type} + - {column: J, row: 6662, expected_value: Value, label: measure} + - {column: L, row: 6663, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6664 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6664, expected_value: E12000006, label: geography} + - {column: D, row: 6664, expected_value: Females, label: sex} + - {column: E, row: 6664, expected_value: Total, label: employment type} + - {column: J, row: 6664, expected_value: Value, label: measure} + - {column: L, row: 6665, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6666 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6666, expected_value: E12000006, label: geography} + - {column: D, row: 6666, expected_value: Females, label: sex} + - {column: E, row: 6666, expected_value: Total, label: employment type} + - {column: J, row: 6666, expected_value: Value, label: measure} + - {column: L, row: 6667, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6668 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6668, expected_value: E12000006, label: geography} + - {column: D, row: 6668, expected_value: Females, label: sex} + - {column: E, row: 6668, expected_value: Total, label: employment type} + - {column: J, row: 6668, expected_value: Value, label: measure} + - {column: L, row: 6669, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6670 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6670, expected_value: E12000006, label: geography} + - {column: D, row: 6670, expected_value: Females, label: sex} + - {column: E, row: 6670, expected_value: Total, label: employment type} + - {column: J, row: 6670, expected_value: Value, label: measure} + - {column: L, row: 6671, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6672 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6672, expected_value: E12000006, label: geography} + - {column: D, row: 6672, expected_value: Females, label: sex} + - {column: E, row: 6672, expected_value: Total, label: employment type} + - {column: J, row: 6672, expected_value: Value, label: measure} + - {column: L, row: 6673, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6674 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6674, expected_value: E12000006, label: geography} + - {column: D, row: 6674, expected_value: Females, label: sex} + - {column: E, row: 6674, expected_value: Total, label: employment type} + - {column: J, row: 6674, expected_value: Value, label: measure} + - {column: L, row: 6675, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6676 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6676, expected_value: E12000006, label: geography} + - {column: D, row: 6676, expected_value: Females, label: sex} + - {column: E, row: 6676, expected_value: Total, label: employment type} + - {column: J, row: 6676, expected_value: Value, label: measure} + - {column: L, row: 6677, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6680 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6680, expected_value: E12000006, label: geography} + - {column: D, row: 6680, expected_value: Females, label: sex} + - {column: E, row: 6680, expected_value: Total, label: employment type} + - {column: J, row: 6680, expected_value: Value, label: measure} + - {column: L, row: 6681, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6682 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6682, expected_value: E12000006, label: geography} + - {column: D, row: 6682, expected_value: Females, label: sex} + - {column: E, row: 6682, expected_value: Total, label: employment type} + - {column: J, row: 6682, expected_value: Value, label: measure} + - {column: L, row: 6683, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6684 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6684, expected_value: E12000006, label: geography} + - {column: D, row: 6684, expected_value: Females, label: sex} + - {column: E, row: 6684, expected_value: Total, label: employment type} + - {column: J, row: 6684, expected_value: Value, label: measure} + - {column: L, row: 6685, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6686 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6686, expected_value: E12000006, label: geography} + - {column: D, row: 6686, expected_value: Females, label: sex} + - {column: E, row: 6686, expected_value: Total, label: employment type} + - {column: J, row: 6686, expected_value: Value, label: measure} + - {column: L, row: 6687, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6688 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6688, expected_value: E12000006, label: geography} + - {column: D, row: 6688, expected_value: Females, label: sex} + - {column: E, row: 6688, expected_value: Total, label: employment type} + - {column: J, row: 6688, expected_value: Value, label: measure} + - {column: L, row: 6689, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6690 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6690, expected_value: E12000006, label: geography} + - {column: D, row: 6690, expected_value: Females, label: sex} + - {column: E, row: 6690, expected_value: Total, label: employment type} + - {column: J, row: 6690, expected_value: Value, label: measure} + - {column: L, row: 6691, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6692 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6692, expected_value: E12000006, label: geography} + - {column: D, row: 6692, expected_value: Females, label: sex} + - {column: E, row: 6692, expected_value: Total, label: employment type} + - {column: J, row: 6692, expected_value: Value, label: measure} + - {column: L, row: 6693, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6694 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6694, expected_value: E12000006, label: geography} + - {column: D, row: 6694, expected_value: Females, label: sex} + - {column: E, row: 6694, expected_value: Total, label: employment type} + - {column: J, row: 6694, expected_value: Value, label: measure} + - {column: L, row: 6695, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6696 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6696, expected_value: E12000006, label: geography} + - {column: D, row: 6696, expected_value: Females, label: sex} + - {column: E, row: 6696, expected_value: Total, label: employment type} + - {column: J, row: 6696, expected_value: Value, label: measure} + - {column: L, row: 6697, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6627 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6627, expected_value: E12000006, label: geography} + - {column: D, row: 6627, expected_value: Females, label: sex} + - {column: E, row: 6627, expected_value: Total, label: employment type} + - {column: J, row: 6627, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6629 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6629, expected_value: E12000006, label: geography} + - {column: D, row: 6629, expected_value: Females, label: sex} + - {column: E, row: 6629, expected_value: Total, label: employment type} + - {column: J, row: 6629, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6631 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6631, expected_value: E12000006, label: geography} + - {column: D, row: 6631, expected_value: Females, label: sex} + - {column: E, row: 6631, expected_value: Total, label: employment type} + - {column: J, row: 6631, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6633 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6633, expected_value: E12000006, label: geography} + - {column: D, row: 6633, expected_value: Females, label: sex} + - {column: E, row: 6633, expected_value: Total, label: employment type} + - {column: J, row: 6633, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6635 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6635, expected_value: E12000006, label: geography} + - {column: D, row: 6635, expected_value: Females, label: sex} + - {column: E, row: 6635, expected_value: Total, label: employment type} + - {column: J, row: 6635, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6637 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6637, expected_value: E12000006, label: geography} + - {column: D, row: 6637, expected_value: Females, label: sex} + - {column: E, row: 6637, expected_value: Total, label: employment type} + - {column: J, row: 6637, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6639 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6639, expected_value: E12000006, label: geography} + - {column: D, row: 6639, expected_value: Females, label: sex} + - {column: E, row: 6639, expected_value: Total, label: employment type} + - {column: J, row: 6639, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6641 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6641, expected_value: E12000006, label: geography} + - {column: D, row: 6641, expected_value: Females, label: sex} + - {column: E, row: 6641, expected_value: Total, label: employment type} + - {column: J, row: 6641, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6643 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6643, expected_value: E12000006, label: geography} + - {column: D, row: 6643, expected_value: Females, label: sex} + - {column: E, row: 6643, expected_value: Total, label: employment type} + - {column: J, row: 6643, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6645 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6645, expected_value: E12000006, label: geography} + - {column: D, row: 6645, expected_value: Females, label: sex} + - {column: E, row: 6645, expected_value: Total, label: employment type} + - {column: J, row: 6645, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6647 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6647, expected_value: E12000006, label: geography} + - {column: D, row: 6647, expected_value: Females, label: sex} + - {column: E, row: 6647, expected_value: Total, label: employment type} + - {column: J, row: 6647, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6649 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6649, expected_value: E12000006, label: geography} + - {column: D, row: 6649, expected_value: Females, label: sex} + - {column: E, row: 6649, expected_value: Total, label: employment type} + - {column: J, row: 6649, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6651 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6651, expected_value: E12000006, label: geography} + - {column: D, row: 6651, expected_value: Females, label: sex} + - {column: E, row: 6651, expected_value: Total, label: employment type} + - {column: J, row: 6651, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6653 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6653, expected_value: E12000006, label: geography} + - {column: D, row: 6653, expected_value: Females, label: sex} + - {column: E, row: 6653, expected_value: Total, label: employment type} + - {column: J, row: 6653, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6655 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6655, expected_value: E12000006, label: geography} + - {column: D, row: 6655, expected_value: Females, label: sex} + - {column: E, row: 6655, expected_value: Total, label: employment type} + - {column: J, row: 6655, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6657 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6657, expected_value: E12000006, label: geography} + - {column: D, row: 6657, expected_value: Females, label: sex} + - {column: E, row: 6657, expected_value: Total, label: employment type} + - {column: J, row: 6657, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6659 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6659, expected_value: E12000006, label: geography} + - {column: D, row: 6659, expected_value: Females, label: sex} + - {column: E, row: 6659, expected_value: Total, label: employment type} + - {column: J, row: 6659, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6661 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6661, expected_value: E12000006, label: geography} + - {column: D, row: 6661, expected_value: Females, label: sex} + - {column: E, row: 6661, expected_value: Total, label: employment type} + - {column: J, row: 6661, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6663 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6663, expected_value: E12000006, label: geography} + - {column: D, row: 6663, expected_value: Females, label: sex} + - {column: E, row: 6663, expected_value: Total, label: employment type} + - {column: J, row: 6663, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6665 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6665, expected_value: E12000006, label: geography} + - {column: D, row: 6665, expected_value: Females, label: sex} + - {column: E, row: 6665, expected_value: Total, label: employment type} + - {column: J, row: 6665, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6667 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6667, expected_value: E12000006, label: geography} + - {column: D, row: 6667, expected_value: Females, label: sex} + - {column: E, row: 6667, expected_value: Total, label: employment type} + - {column: J, row: 6667, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6671 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6671, expected_value: E12000006, label: geography} + - {column: D, row: 6671, expected_value: Females, label: sex} + - {column: E, row: 6671, expected_value: Total, label: employment type} + - {column: J, row: 6671, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6673 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6673, expected_value: E12000006, label: geography} + - {column: D, row: 6673, expected_value: Females, label: sex} + - {column: E, row: 6673, expected_value: Total, label: employment type} + - {column: J, row: 6673, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6675 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6675, expected_value: E12000006, label: geography} + - {column: D, row: 6675, expected_value: Females, label: sex} + - {column: E, row: 6675, expected_value: Total, label: employment type} + - {column: J, row: 6675, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6677 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6677, expected_value: E12000006, label: geography} + - {column: D, row: 6677, expected_value: Females, label: sex} + - {column: E, row: 6677, expected_value: Total, label: employment type} + - {column: J, row: 6677, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6681 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6681, expected_value: E12000006, label: geography} + - {column: D, row: 6681, expected_value: Females, label: sex} + - {column: E, row: 6681, expected_value: Total, label: employment type} + - {column: J, row: 6681, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6683 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6683, expected_value: E12000006, label: geography} + - {column: D, row: 6683, expected_value: Females, label: sex} + - {column: E, row: 6683, expected_value: Total, label: employment type} + - {column: J, row: 6683, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6685 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6685, expected_value: E12000006, label: geography} + - {column: D, row: 6685, expected_value: Females, label: sex} + - {column: E, row: 6685, expected_value: Total, label: employment type} + - {column: J, row: 6685, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6687 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6687, expected_value: E12000006, label: geography} + - {column: D, row: 6687, expected_value: Females, label: sex} + - {column: E, row: 6687, expected_value: Total, label: employment type} + - {column: J, row: 6687, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6689 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6689, expected_value: E12000006, label: geography} + - {column: D, row: 6689, expected_value: Females, label: sex} + - {column: E, row: 6689, expected_value: Total, label: employment type} + - {column: J, row: 6689, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6691 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6691, expected_value: E12000006, label: geography} + - {column: D, row: 6691, expected_value: Females, label: sex} + - {column: E, row: 6691, expected_value: Total, label: employment type} + - {column: J, row: 6691, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6693 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6693, expected_value: E12000006, label: geography} + - {column: D, row: 6693, expected_value: Females, label: sex} + - {column: E, row: 6693, expected_value: Total, label: employment type} + - {column: J, row: 6693, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6695 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6695, expected_value: E12000006, label: geography} + - {column: D, row: 6695, expected_value: Females, label: sex} + - {column: E, row: 6695, expected_value: Total, label: employment type} + - {column: J, row: 6695, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6697 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6697, expected_value: E12000006, label: geography} + - {column: D, row: 6697, expected_value: Females, label: sex} + - {column: E, row: 6697, expected_value: Total, label: employment type} + - {column: J, row: 6697, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6842 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6842, expected_value: E12000006, label: geography} + - {column: D, row: 6842, expected_value: Females, label: sex} + - {column: E, row: 6842, expected_value: Employee, label: employment type} + - {column: J, row: 6842, expected_value: Value, label: measure} + - {column: L, row: 6843, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6844 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6844, expected_value: E12000006, label: geography} + - {column: D, row: 6844, expected_value: Females, label: sex} + - {column: E, row: 6844, expected_value: Employee, label: employment type} + - {column: J, row: 6844, expected_value: Value, label: measure} + - {column: L, row: 6845, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6846 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6846, expected_value: E12000006, label: geography} + - {column: D, row: 6846, expected_value: Females, label: sex} + - {column: E, row: 6846, expected_value: Employee, label: employment type} + - {column: J, row: 6846, expected_value: Value, label: measure} + - {column: L, row: 6847, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6848 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6848, expected_value: E12000006, label: geography} + - {column: D, row: 6848, expected_value: Females, label: sex} + - {column: E, row: 6848, expected_value: Employee, label: employment type} + - {column: J, row: 6848, expected_value: Value, label: measure} + - {column: L, row: 6849, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6850 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6850, expected_value: E12000006, label: geography} + - {column: D, row: 6850, expected_value: Females, label: sex} + - {column: E, row: 6850, expected_value: Employee, label: employment type} + - {column: J, row: 6850, expected_value: Value, label: measure} + - {column: L, row: 6851, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6852 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6852, expected_value: E12000006, label: geography} + - {column: D, row: 6852, expected_value: Females, label: sex} + - {column: E, row: 6852, expected_value: Employee, label: employment type} + - {column: J, row: 6852, expected_value: Value, label: measure} + - {column: L, row: 6853, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6854 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6854, expected_value: E12000006, label: geography} + - {column: D, row: 6854, expected_value: Females, label: sex} + - {column: E, row: 6854, expected_value: Employee, label: employment type} + - {column: J, row: 6854, expected_value: Value, label: measure} + - {column: L, row: 6855, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6856 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6856, expected_value: E12000006, label: geography} + - {column: D, row: 6856, expected_value: Females, label: sex} + - {column: E, row: 6856, expected_value: Employee, label: employment type} + - {column: J, row: 6856, expected_value: Value, label: measure} + - {column: L, row: 6857, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6858 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6858, expected_value: E12000006, label: geography} + - {column: D, row: 6858, expected_value: Females, label: sex} + - {column: E, row: 6858, expected_value: Employee, label: employment type} + - {column: J, row: 6858, expected_value: Value, label: measure} + - {column: L, row: 6859, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6860 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6860, expected_value: E12000006, label: geography} + - {column: D, row: 6860, expected_value: Females, label: sex} + - {column: E, row: 6860, expected_value: Employee, label: employment type} + - {column: J, row: 6860, expected_value: Value, label: measure} + - {column: L, row: 6861, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6862 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6862, expected_value: E12000006, label: geography} + - {column: D, row: 6862, expected_value: Females, label: sex} + - {column: E, row: 6862, expected_value: Employee, label: employment type} + - {column: J, row: 6862, expected_value: Value, label: measure} + - {column: L, row: 6863, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6864 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6864, expected_value: E12000006, label: geography} + - {column: D, row: 6864, expected_value: Females, label: sex} + - {column: E, row: 6864, expected_value: Employee, label: employment type} + - {column: J, row: 6864, expected_value: Value, label: measure} + - {column: L, row: 6865, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6866 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6866, expected_value: E12000006, label: geography} + - {column: D, row: 6866, expected_value: Females, label: sex} + - {column: E, row: 6866, expected_value: Employee, label: employment type} + - {column: J, row: 6866, expected_value: Value, label: measure} + - {column: L, row: 6867, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6868 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6868, expected_value: E12000006, label: geography} + - {column: D, row: 6868, expected_value: Females, label: sex} + - {column: E, row: 6868, expected_value: Employee, label: employment type} + - {column: J, row: 6868, expected_value: Value, label: measure} + - {column: L, row: 6869, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6870 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6870, expected_value: E12000006, label: geography} + - {column: D, row: 6870, expected_value: Females, label: sex} + - {column: E, row: 6870, expected_value: Employee, label: employment type} + - {column: J, row: 6870, expected_value: Value, label: measure} + - {column: L, row: 6871, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6872 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6872, expected_value: E12000006, label: geography} + - {column: D, row: 6872, expected_value: Females, label: sex} + - {column: E, row: 6872, expected_value: Employee, label: employment type} + - {column: J, row: 6872, expected_value: Value, label: measure} + - {column: L, row: 6873, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6874 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6874, expected_value: E12000006, label: geography} + - {column: D, row: 6874, expected_value: Females, label: sex} + - {column: E, row: 6874, expected_value: Employee, label: employment type} + - {column: J, row: 6874, expected_value: Value, label: measure} + - {column: L, row: 6875, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6876 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6876, expected_value: E12000006, label: geography} + - {column: D, row: 6876, expected_value: Females, label: sex} + - {column: E, row: 6876, expected_value: Employee, label: employment type} + - {column: J, row: 6876, expected_value: Value, label: measure} + - {column: L, row: 6877, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6878 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6878, expected_value: E12000006, label: geography} + - {column: D, row: 6878, expected_value: Females, label: sex} + - {column: E, row: 6878, expected_value: Employee, label: employment type} + - {column: J, row: 6878, expected_value: Value, label: measure} + - {column: L, row: 6879, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 6880 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 6880, expected_value: E12000006, label: geography} + - {column: D, row: 6880, expected_value: Females, label: sex} + - {column: E, row: 6880, expected_value: Employee, label: employment type} + - {column: J, row: 6880, expected_value: Value, label: measure} + - {column: L, row: 6881, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6882 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6882, expected_value: E12000006, label: geography} + - {column: D, row: 6882, expected_value: Females, label: sex} + - {column: E, row: 6882, expected_value: Employee, label: employment type} + - {column: J, row: 6882, expected_value: Value, label: measure} + - {column: L, row: 6883, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 6884 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 6884, expected_value: E12000006, label: geography} + - {column: D, row: 6884, expected_value: Females, label: sex} + - {column: E, row: 6884, expected_value: Employee, label: employment type} + - {column: J, row: 6884, expected_value: Value, label: measure} + - {column: L, row: 6885, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6886 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6886, expected_value: E12000006, label: geography} + - {column: D, row: 6886, expected_value: Females, label: sex} + - {column: E, row: 6886, expected_value: Employee, label: employment type} + - {column: J, row: 6886, expected_value: Value, label: measure} + - {column: L, row: 6887, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6888 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6888, expected_value: E12000006, label: geography} + - {column: D, row: 6888, expected_value: Females, label: sex} + - {column: E, row: 6888, expected_value: Employee, label: employment type} + - {column: J, row: 6888, expected_value: Value, label: measure} + - {column: L, row: 6889, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6890 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6890, expected_value: E12000006, label: geography} + - {column: D, row: 6890, expected_value: Females, label: sex} + - {column: E, row: 6890, expected_value: Employee, label: employment type} + - {column: J, row: 6890, expected_value: Value, label: measure} + - {column: L, row: 6891, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6892 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6892, expected_value: E12000006, label: geography} + - {column: D, row: 6892, expected_value: Females, label: sex} + - {column: E, row: 6892, expected_value: Employee, label: employment type} + - {column: J, row: 6892, expected_value: Value, label: measure} + - {column: L, row: 6893, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6896 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6896, expected_value: E12000006, label: geography} + - {column: D, row: 6896, expected_value: Females, label: sex} + - {column: E, row: 6896, expected_value: Employee, label: employment type} + - {column: J, row: 6896, expected_value: Value, label: measure} + - {column: L, row: 6897, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6898 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6898, expected_value: E12000006, label: geography} + - {column: D, row: 6898, expected_value: Females, label: sex} + - {column: E, row: 6898, expected_value: Employee, label: employment type} + - {column: J, row: 6898, expected_value: Value, label: measure} + - {column: L, row: 6899, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6900 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6900, expected_value: E12000006, label: geography} + - {column: D, row: 6900, expected_value: Females, label: sex} + - {column: E, row: 6900, expected_value: Employee, label: employment type} + - {column: J, row: 6900, expected_value: Value, label: measure} + - {column: L, row: 6901, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6902 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6902, expected_value: E12000006, label: geography} + - {column: D, row: 6902, expected_value: Females, label: sex} + - {column: E, row: 6902, expected_value: Employee, label: employment type} + - {column: J, row: 6902, expected_value: Value, label: measure} + - {column: L, row: 6903, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6904 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6904, expected_value: E12000006, label: geography} + - {column: D, row: 6904, expected_value: Females, label: sex} + - {column: E, row: 6904, expected_value: Employee, label: employment type} + - {column: J, row: 6904, expected_value: Value, label: measure} + - {column: L, row: 6905, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6906 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6906, expected_value: E12000006, label: geography} + - {column: D, row: 6906, expected_value: Females, label: sex} + - {column: E, row: 6906, expected_value: Employee, label: employment type} + - {column: J, row: 6906, expected_value: Value, label: measure} + - {column: L, row: 6907, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6908 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6908, expected_value: E12000006, label: geography} + - {column: D, row: 6908, expected_value: Females, label: sex} + - {column: E, row: 6908, expected_value: Employee, label: employment type} + - {column: J, row: 6908, expected_value: Value, label: measure} + - {column: L, row: 6909, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6910 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6910, expected_value: E12000006, label: geography} + - {column: D, row: 6910, expected_value: Females, label: sex} + - {column: E, row: 6910, expected_value: Employee, label: employment type} + - {column: J, row: 6910, expected_value: Value, label: measure} + - {column: L, row: 6911, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6912 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6912, expected_value: E12000006, label: geography} + - {column: D, row: 6912, expected_value: Females, label: sex} + - {column: E, row: 6912, expected_value: Employee, label: employment type} + - {column: J, row: 6912, expected_value: Value, label: measure} + - {column: L, row: 6913, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6843 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 6843, expected_value: E12000006, label: geography} + - {column: D, row: 6843, expected_value: Females, label: sex} + - {column: E, row: 6843, expected_value: Employee, label: employment type} + - {column: J, row: 6843, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 6845 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 6845, expected_value: E12000006, label: geography} + - {column: D, row: 6845, expected_value: Females, label: sex} + - {column: E, row: 6845, expected_value: Employee, label: employment type} + - {column: J, row: 6845, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 6847 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 6847, expected_value: E12000006, label: geography} + - {column: D, row: 6847, expected_value: Females, label: sex} + - {column: E, row: 6847, expected_value: Employee, label: employment type} + - {column: J, row: 6847, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 6849 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 6849, expected_value: E12000006, label: geography} + - {column: D, row: 6849, expected_value: Females, label: sex} + - {column: E, row: 6849, expected_value: Employee, label: employment type} + - {column: J, row: 6849, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 6851 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 6851, expected_value: E12000006, label: geography} + - {column: D, row: 6851, expected_value: Females, label: sex} + - {column: E, row: 6851, expected_value: Employee, label: employment type} + - {column: J, row: 6851, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 6853 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 6853, expected_value: E12000006, label: geography} + - {column: D, row: 6853, expected_value: Females, label: sex} + - {column: E, row: 6853, expected_value: Employee, label: employment type} + - {column: J, row: 6853, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 6855 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 6855, expected_value: E12000006, label: geography} + - {column: D, row: 6855, expected_value: Females, label: sex} + - {column: E, row: 6855, expected_value: Employee, label: employment type} + - {column: J, row: 6855, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 6857 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 6857, expected_value: E12000006, label: geography} + - {column: D, row: 6857, expected_value: Females, label: sex} + - {column: E, row: 6857, expected_value: Employee, label: employment type} + - {column: J, row: 6857, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 6859 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 6859, expected_value: E12000006, label: geography} + - {column: D, row: 6859, expected_value: Females, label: sex} + - {column: E, row: 6859, expected_value: Employee, label: employment type} + - {column: J, row: 6859, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 6861 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 6861, expected_value: E12000006, label: geography} + - {column: D, row: 6861, expected_value: Females, label: sex} + - {column: E, row: 6861, expected_value: Employee, label: employment type} + - {column: J, row: 6861, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 6863 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 6863, expected_value: E12000006, label: geography} + - {column: D, row: 6863, expected_value: Females, label: sex} + - {column: E, row: 6863, expected_value: Employee, label: employment type} + - {column: J, row: 6863, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 6865 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 6865, expected_value: E12000006, label: geography} + - {column: D, row: 6865, expected_value: Females, label: sex} + - {column: E, row: 6865, expected_value: Employee, label: employment type} + - {column: J, row: 6865, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 6867 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 6867, expected_value: E12000006, label: geography} + - {column: D, row: 6867, expected_value: Females, label: sex} + - {column: E, row: 6867, expected_value: Employee, label: employment type} + - {column: J, row: 6867, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 6869 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 6869, expected_value: E12000006, label: geography} + - {column: D, row: 6869, expected_value: Females, label: sex} + - {column: E, row: 6869, expected_value: Employee, label: employment type} + - {column: J, row: 6869, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 6871 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 6871, expected_value: E12000006, label: geography} + - {column: D, row: 6871, expected_value: Females, label: sex} + - {column: E, row: 6871, expected_value: Employee, label: employment type} + - {column: J, row: 6871, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 6873 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 6873, expected_value: E12000006, label: geography} + - {column: D, row: 6873, expected_value: Females, label: sex} + - {column: E, row: 6873, expected_value: Employee, label: employment type} + - {column: J, row: 6873, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 6875 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 6875, expected_value: E12000006, label: geography} + - {column: D, row: 6875, expected_value: Females, label: sex} + - {column: E, row: 6875, expected_value: Employee, label: employment type} + - {column: J, row: 6875, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 6877 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 6877, expected_value: E12000006, label: geography} + - {column: D, row: 6877, expected_value: Females, label: sex} + - {column: E, row: 6877, expected_value: Employee, label: employment type} + - {column: J, row: 6877, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 6879 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 6879, expected_value: E12000006, label: geography} + - {column: D, row: 6879, expected_value: Females, label: sex} + - {column: E, row: 6879, expected_value: Employee, label: employment type} + - {column: J, row: 6879, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 6883 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 6883, expected_value: E12000006, label: geography} + - {column: D, row: 6883, expected_value: Females, label: sex} + - {column: E, row: 6883, expected_value: Employee, label: employment type} + - {column: J, row: 6883, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 6887 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 6887, expected_value: E12000006, label: geography} + - {column: D, row: 6887, expected_value: Females, label: sex} + - {column: E, row: 6887, expected_value: Employee, label: employment type} + - {column: J, row: 6887, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 6889 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 6889, expected_value: E12000006, label: geography} + - {column: D, row: 6889, expected_value: Females, label: sex} + - {column: E, row: 6889, expected_value: Employee, label: employment type} + - {column: J, row: 6889, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 6891 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 6891, expected_value: E12000006, label: geography} + - {column: D, row: 6891, expected_value: Females, label: sex} + - {column: E, row: 6891, expected_value: Employee, label: employment type} + - {column: J, row: 6891, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 6893 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 6893, expected_value: E12000006, label: geography} + - {column: D, row: 6893, expected_value: Females, label: sex} + - {column: E, row: 6893, expected_value: Employee, label: employment type} + - {column: J, row: 6893, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 6897 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 6897, expected_value: E12000006, label: geography} + - {column: D, row: 6897, expected_value: Females, label: sex} + - {column: E, row: 6897, expected_value: Employee, label: employment type} + - {column: J, row: 6897, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 6899 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 6899, expected_value: E12000006, label: geography} + - {column: D, row: 6899, expected_value: Females, label: sex} + - {column: E, row: 6899, expected_value: Employee, label: employment type} + - {column: J, row: 6899, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 6901 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 6901, expected_value: E12000006, label: geography} + - {column: D, row: 6901, expected_value: Females, label: sex} + - {column: E, row: 6901, expected_value: Employee, label: employment type} + - {column: J, row: 6901, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 6903 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 6903, expected_value: E12000006, label: geography} + - {column: D, row: 6903, expected_value: Females, label: sex} + - {column: E, row: 6903, expected_value: Employee, label: employment type} + - {column: J, row: 6903, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 6905 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 6905, expected_value: E12000006, label: geography} + - {column: D, row: 6905, expected_value: Females, label: sex} + - {column: E, row: 6905, expected_value: Employee, label: employment type} + - {column: J, row: 6905, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 6907 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 6907, expected_value: E12000006, label: geography} + - {column: D, row: 6907, expected_value: Females, label: sex} + - {column: E, row: 6907, expected_value: Employee, label: employment type} + - {column: J, row: 6907, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 6909 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 6909, expected_value: E12000006, label: geography} + - {column: D, row: 6909, expected_value: Females, label: sex} + - {column: E, row: 6909, expected_value: Employee, label: employment type} + - {column: J, row: 6909, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 6911 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 6911, expected_value: E12000006, label: geography} + - {column: D, row: 6911, expected_value: Females, label: sex} + - {column: E, row: 6911, expected_value: Employee, label: employment type} + - {column: J, row: 6911, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 6913 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 6913, expected_value: E12000006, label: geography} + - {column: D, row: 6913, expected_value: Females, label: sex} + - {column: E, row: 6913, expected_value: Employee, label: employment type} + - {column: J, row: 6913, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7058 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7058, expected_value: E12000006, label: geography} + - {column: D, row: 7058, expected_value: Females, label: sex} + - {column: E, row: 7058, expected_value: Self-employed, label: employment type} + - {column: J, row: 7058, expected_value: Value, label: measure} + - {column: L, row: 7059, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7060 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7060, expected_value: E12000006, label: geography} + - {column: D, row: 7060, expected_value: Females, label: sex} + - {column: E, row: 7060, expected_value: Self-employed, label: employment type} + - {column: J, row: 7060, expected_value: Value, label: measure} + - {column: L, row: 7061, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7062 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7062, expected_value: E12000006, label: geography} + - {column: D, row: 7062, expected_value: Females, label: sex} + - {column: E, row: 7062, expected_value: Self-employed, label: employment type} + - {column: J, row: 7062, expected_value: Value, label: measure} + - {column: L, row: 7063, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7064 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7064, expected_value: E12000006, label: geography} + - {column: D, row: 7064, expected_value: Females, label: sex} + - {column: E, row: 7064, expected_value: Self-employed, label: employment type} + - {column: J, row: 7064, expected_value: Value, label: measure} + - {column: L, row: 7065, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7066 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7066, expected_value: E12000006, label: geography} + - {column: D, row: 7066, expected_value: Females, label: sex} + - {column: E, row: 7066, expected_value: Self-employed, label: employment type} + - {column: J, row: 7066, expected_value: Value, label: measure} + - {column: L, row: 7067, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7068 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7068, expected_value: E12000006, label: geography} + - {column: D, row: 7068, expected_value: Females, label: sex} + - {column: E, row: 7068, expected_value: Self-employed, label: employment type} + - {column: J, row: 7068, expected_value: Value, label: measure} + - {column: L, row: 7069, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7070 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7070, expected_value: E12000006, label: geography} + - {column: D, row: 7070, expected_value: Females, label: sex} + - {column: E, row: 7070, expected_value: Self-employed, label: employment type} + - {column: J, row: 7070, expected_value: Value, label: measure} + - {column: L, row: 7071, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7072 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7072, expected_value: E12000006, label: geography} + - {column: D, row: 7072, expected_value: Females, label: sex} + - {column: E, row: 7072, expected_value: Self-employed, label: employment type} + - {column: J, row: 7072, expected_value: Value, label: measure} + - {column: L, row: 7073, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7074 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7074, expected_value: E12000006, label: geography} + - {column: D, row: 7074, expected_value: Females, label: sex} + - {column: E, row: 7074, expected_value: Self-employed, label: employment type} + - {column: J, row: 7074, expected_value: Value, label: measure} + - {column: L, row: 7075, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7076 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7076, expected_value: E12000006, label: geography} + - {column: D, row: 7076, expected_value: Females, label: sex} + - {column: E, row: 7076, expected_value: Self-employed, label: employment type} + - {column: J, row: 7076, expected_value: Value, label: measure} + - {column: L, row: 7077, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7080 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7080, expected_value: E12000006, label: geography} + - {column: D, row: 7080, expected_value: Females, label: sex} + - {column: E, row: 7080, expected_value: Self-employed, label: employment type} + - {column: J, row: 7080, expected_value: Value, label: measure} + - {column: L, row: 7081, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7084 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7084, expected_value: E12000006, label: geography} + - {column: D, row: 7084, expected_value: Females, label: sex} + - {column: E, row: 7084, expected_value: Self-employed, label: employment type} + - {column: J, row: 7084, expected_value: Value, label: measure} + - {column: L, row: 7085, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7086 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7086, expected_value: E12000006, label: geography} + - {column: D, row: 7086, expected_value: Females, label: sex} + - {column: E, row: 7086, expected_value: Self-employed, label: employment type} + - {column: J, row: 7086, expected_value: Value, label: measure} + - {column: L, row: 7087, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7088 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7088, expected_value: E12000006, label: geography} + - {column: D, row: 7088, expected_value: Females, label: sex} + - {column: E, row: 7088, expected_value: Self-employed, label: employment type} + - {column: J, row: 7088, expected_value: Value, label: measure} + - {column: L, row: 7089, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7090 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7090, expected_value: E12000006, label: geography} + - {column: D, row: 7090, expected_value: Females, label: sex} + - {column: E, row: 7090, expected_value: Self-employed, label: employment type} + - {column: J, row: 7090, expected_value: Value, label: measure} + - {column: L, row: 7091, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7092 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7092, expected_value: E12000006, label: geography} + - {column: D, row: 7092, expected_value: Females, label: sex} + - {column: E, row: 7092, expected_value: Self-employed, label: employment type} + - {column: J, row: 7092, expected_value: Value, label: measure} + - {column: L, row: 7093, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7094 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7094, expected_value: E12000006, label: geography} + - {column: D, row: 7094, expected_value: Females, label: sex} + - {column: E, row: 7094, expected_value: Self-employed, label: employment type} + - {column: J, row: 7094, expected_value: Value, label: measure} + - {column: L, row: 7095, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7096 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7096, expected_value: E12000006, label: geography} + - {column: D, row: 7096, expected_value: Females, label: sex} + - {column: E, row: 7096, expected_value: Self-employed, label: employment type} + - {column: J, row: 7096, expected_value: Value, label: measure} + - {column: L, row: 7097, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7100 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7100, expected_value: E12000006, label: geography} + - {column: D, row: 7100, expected_value: Females, label: sex} + - {column: E, row: 7100, expected_value: Self-employed, label: employment type} + - {column: J, row: 7100, expected_value: Value, label: measure} + - {column: L, row: 7101, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7102 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7102, expected_value: E12000006, label: geography} + - {column: D, row: 7102, expected_value: Females, label: sex} + - {column: E, row: 7102, expected_value: Self-employed, label: employment type} + - {column: J, row: 7102, expected_value: Value, label: measure} + - {column: L, row: 7103, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7104 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7104, expected_value: E12000006, label: geography} + - {column: D, row: 7104, expected_value: Females, label: sex} + - {column: E, row: 7104, expected_value: Self-employed, label: employment type} + - {column: J, row: 7104, expected_value: Value, label: measure} + - {column: L, row: 7105, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7106 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7106, expected_value: E12000006, label: geography} + - {column: D, row: 7106, expected_value: Females, label: sex} + - {column: E, row: 7106, expected_value: Self-employed, label: employment type} + - {column: J, row: 7106, expected_value: Value, label: measure} + - {column: L, row: 7107, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7108 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7108, expected_value: E12000006, label: geography} + - {column: D, row: 7108, expected_value: Females, label: sex} + - {column: E, row: 7108, expected_value: Self-employed, label: employment type} + - {column: J, row: 7108, expected_value: Value, label: measure} + - {column: L, row: 7109, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7112 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7112, expected_value: E12000006, label: geography} + - {column: D, row: 7112, expected_value: Females, label: sex} + - {column: E, row: 7112, expected_value: Self-employed, label: employment type} + - {column: J, row: 7112, expected_value: Value, label: measure} + - {column: L, row: 7113, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7114 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7114, expected_value: E12000006, label: geography} + - {column: D, row: 7114, expected_value: Females, label: sex} + - {column: E, row: 7114, expected_value: Self-employed, label: employment type} + - {column: J, row: 7114, expected_value: Value, label: measure} + - {column: L, row: 7115, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7118 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7118, expected_value: E12000006, label: geography} + - {column: D, row: 7118, expected_value: Females, label: sex} + - {column: E, row: 7118, expected_value: Self-employed, label: employment type} + - {column: J, row: 7118, expected_value: Value, label: measure} + - {column: L, row: 7119, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7120 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7120, expected_value: E12000006, label: geography} + - {column: D, row: 7120, expected_value: Females, label: sex} + - {column: E, row: 7120, expected_value: Self-employed, label: employment type} + - {column: J, row: 7120, expected_value: Value, label: measure} + - {column: L, row: 7121, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7122 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7122, expected_value: E12000006, label: geography} + - {column: D, row: 7122, expected_value: Females, label: sex} + - {column: E, row: 7122, expected_value: Self-employed, label: employment type} + - {column: J, row: 7122, expected_value: Value, label: measure} + - {column: L, row: 7123, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7124 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7124, expected_value: E12000006, label: geography} + - {column: D, row: 7124, expected_value: Females, label: sex} + - {column: E, row: 7124, expected_value: Self-employed, label: employment type} + - {column: J, row: 7124, expected_value: Value, label: measure} + - {column: L, row: 7125, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7126 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7126, expected_value: E12000006, label: geography} + - {column: D, row: 7126, expected_value: Females, label: sex} + - {column: E, row: 7126, expected_value: Self-employed, label: employment type} + - {column: J, row: 7126, expected_value: Value, label: measure} + - {column: L, row: 7127, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7128 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7128, expected_value: E12000006, label: geography} + - {column: D, row: 7128, expected_value: Females, label: sex} + - {column: E, row: 7128, expected_value: Self-employed, label: employment type} + - {column: J, row: 7128, expected_value: Value, label: measure} + - {column: L, row: 7129, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000006.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000006.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000006.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000006 + geography_level: region + geography_name: East of England + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7059 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7059, expected_value: E12000006, label: geography} + - {column: D, row: 7059, expected_value: Females, label: sex} + - {column: E, row: 7059, expected_value: Self-employed, label: employment type} + - {column: J, row: 7059, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7061 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7061, expected_value: E12000006, label: geography} + - {column: D, row: 7061, expected_value: Females, label: sex} + - {column: E, row: 7061, expected_value: Self-employed, label: employment type} + - {column: J, row: 7061, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7063 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7063, expected_value: E12000006, label: geography} + - {column: D, row: 7063, expected_value: Females, label: sex} + - {column: E, row: 7063, expected_value: Self-employed, label: employment type} + - {column: J, row: 7063, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7065 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7065, expected_value: E12000006, label: geography} + - {column: D, row: 7065, expected_value: Females, label: sex} + - {column: E, row: 7065, expected_value: Self-employed, label: employment type} + - {column: J, row: 7065, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7067 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7067, expected_value: E12000006, label: geography} + - {column: D, row: 7067, expected_value: Females, label: sex} + - {column: E, row: 7067, expected_value: Self-employed, label: employment type} + - {column: J, row: 7067, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7069 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7069, expected_value: E12000006, label: geography} + - {column: D, row: 7069, expected_value: Females, label: sex} + - {column: E, row: 7069, expected_value: Self-employed, label: employment type} + - {column: J, row: 7069, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7071 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7071, expected_value: E12000006, label: geography} + - {column: D, row: 7071, expected_value: Females, label: sex} + - {column: E, row: 7071, expected_value: Self-employed, label: employment type} + - {column: J, row: 7071, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7073 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7073, expected_value: E12000006, label: geography} + - {column: D, row: 7073, expected_value: Females, label: sex} + - {column: E, row: 7073, expected_value: Self-employed, label: employment type} + - {column: J, row: 7073, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7075 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7075, expected_value: E12000006, label: geography} + - {column: D, row: 7075, expected_value: Females, label: sex} + - {column: E, row: 7075, expected_value: Self-employed, label: employment type} + - {column: J, row: 7075, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7077 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7077, expected_value: E12000006, label: geography} + - {column: D, row: 7077, expected_value: Females, label: sex} + - {column: E, row: 7077, expected_value: Self-employed, label: employment type} + - {column: J, row: 7077, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7081 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7081, expected_value: E12000006, label: geography} + - {column: D, row: 7081, expected_value: Females, label: sex} + - {column: E, row: 7081, expected_value: Self-employed, label: employment type} + - {column: J, row: 7081, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7085 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7085, expected_value: E12000006, label: geography} + - {column: D, row: 7085, expected_value: Females, label: sex} + - {column: E, row: 7085, expected_value: Self-employed, label: employment type} + - {column: J, row: 7085, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7087 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7087, expected_value: E12000006, label: geography} + - {column: D, row: 7087, expected_value: Females, label: sex} + - {column: E, row: 7087, expected_value: Self-employed, label: employment type} + - {column: J, row: 7087, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7089 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7089, expected_value: E12000006, label: geography} + - {column: D, row: 7089, expected_value: Females, label: sex} + - {column: E, row: 7089, expected_value: Self-employed, label: employment type} + - {column: J, row: 7089, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7091 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7091, expected_value: E12000006, label: geography} + - {column: D, row: 7091, expected_value: Females, label: sex} + - {column: E, row: 7091, expected_value: Self-employed, label: employment type} + - {column: J, row: 7091, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7095 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7095, expected_value: E12000006, label: geography} + - {column: D, row: 7095, expected_value: Females, label: sex} + - {column: E, row: 7095, expected_value: Self-employed, label: employment type} + - {column: J, row: 7095, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7097 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7097, expected_value: E12000006, label: geography} + - {column: D, row: 7097, expected_value: Females, label: sex} + - {column: E, row: 7097, expected_value: Self-employed, label: employment type} + - {column: J, row: 7097, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7105 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7105, expected_value: E12000006, label: geography} + - {column: D, row: 7105, expected_value: Females, label: sex} + - {column: E, row: 7105, expected_value: Self-employed, label: employment type} + - {column: J, row: 7105, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7107 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7107, expected_value: E12000006, label: geography} + - {column: D, row: 7107, expected_value: Females, label: sex} + - {column: E, row: 7107, expected_value: Self-employed, label: employment type} + - {column: J, row: 7107, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7109 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7109, expected_value: E12000006, label: geography} + - {column: D, row: 7109, expected_value: Females, label: sex} + - {column: E, row: 7109, expected_value: Self-employed, label: employment type} + - {column: J, row: 7109, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7113 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7113, expected_value: E12000006, label: geography} + - {column: D, row: 7113, expected_value: Females, label: sex} + - {column: E, row: 7113, expected_value: Self-employed, label: employment type} + - {column: J, row: 7113, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7115 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7115, expected_value: E12000006, label: geography} + - {column: D, row: 7115, expected_value: Females, label: sex} + - {column: E, row: 7115, expected_value: Self-employed, label: employment type} + - {column: J, row: 7115, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7119 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7119, expected_value: E12000006, label: geography} + - {column: D, row: 7119, expected_value: Females, label: sex} + - {column: E, row: 7119, expected_value: Self-employed, label: employment type} + - {column: J, row: 7119, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7125 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7125, expected_value: E12000006, label: geography} + - {column: D, row: 7125, expected_value: Females, label: sex} + - {column: E, row: 7125, expected_value: Self-employed, label: employment type} + - {column: J, row: 7125, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7129 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7129, expected_value: E12000006, label: geography} + - {column: D, row: 7129, expected_value: Females, label: sex} + - {column: E, row: 7129, expected_value: Self-employed, label: employment type} + - {column: J, row: 7129, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7130 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7130, expected_value: E12000007, label: geography} + - {column: D, row: 7130, expected_value: All persons, label: sex} + - {column: E, row: 7130, expected_value: Total, label: employment type} + - {column: J, row: 7130, expected_value: Value, label: measure} + - {column: L, row: 7131, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7132 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7132, expected_value: E12000007, label: geography} + - {column: D, row: 7132, expected_value: All persons, label: sex} + - {column: E, row: 7132, expected_value: Total, label: employment type} + - {column: J, row: 7132, expected_value: Value, label: measure} + - {column: L, row: 7133, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7134 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7134, expected_value: E12000007, label: geography} + - {column: D, row: 7134, expected_value: All persons, label: sex} + - {column: E, row: 7134, expected_value: Total, label: employment type} + - {column: J, row: 7134, expected_value: Value, label: measure} + - {column: L, row: 7135, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7136 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7136, expected_value: E12000007, label: geography} + - {column: D, row: 7136, expected_value: All persons, label: sex} + - {column: E, row: 7136, expected_value: Total, label: employment type} + - {column: J, row: 7136, expected_value: Value, label: measure} + - {column: L, row: 7137, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7138 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7138, expected_value: E12000007, label: geography} + - {column: D, row: 7138, expected_value: All persons, label: sex} + - {column: E, row: 7138, expected_value: Total, label: employment type} + - {column: J, row: 7138, expected_value: Value, label: measure} + - {column: L, row: 7139, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7140 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7140, expected_value: E12000007, label: geography} + - {column: D, row: 7140, expected_value: All persons, label: sex} + - {column: E, row: 7140, expected_value: Total, label: employment type} + - {column: J, row: 7140, expected_value: Value, label: measure} + - {column: L, row: 7141, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7142 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7142, expected_value: E12000007, label: geography} + - {column: D, row: 7142, expected_value: All persons, label: sex} + - {column: E, row: 7142, expected_value: Total, label: employment type} + - {column: J, row: 7142, expected_value: Value, label: measure} + - {column: L, row: 7143, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7144 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7144, expected_value: E12000007, label: geography} + - {column: D, row: 7144, expected_value: All persons, label: sex} + - {column: E, row: 7144, expected_value: Total, label: employment type} + - {column: J, row: 7144, expected_value: Value, label: measure} + - {column: L, row: 7145, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7146 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7146, expected_value: E12000007, label: geography} + - {column: D, row: 7146, expected_value: All persons, label: sex} + - {column: E, row: 7146, expected_value: Total, label: employment type} + - {column: J, row: 7146, expected_value: Value, label: measure} + - {column: L, row: 7147, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7148 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7148, expected_value: E12000007, label: geography} + - {column: D, row: 7148, expected_value: All persons, label: sex} + - {column: E, row: 7148, expected_value: Total, label: employment type} + - {column: J, row: 7148, expected_value: Value, label: measure} + - {column: L, row: 7149, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7150 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7150, expected_value: E12000007, label: geography} + - {column: D, row: 7150, expected_value: All persons, label: sex} + - {column: E, row: 7150, expected_value: Total, label: employment type} + - {column: J, row: 7150, expected_value: Value, label: measure} + - {column: L, row: 7151, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7152 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7152, expected_value: E12000007, label: geography} + - {column: D, row: 7152, expected_value: All persons, label: sex} + - {column: E, row: 7152, expected_value: Total, label: employment type} + - {column: J, row: 7152, expected_value: Value, label: measure} + - {column: L, row: 7153, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7154 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7154, expected_value: E12000007, label: geography} + - {column: D, row: 7154, expected_value: All persons, label: sex} + - {column: E, row: 7154, expected_value: Total, label: employment type} + - {column: J, row: 7154, expected_value: Value, label: measure} + - {column: L, row: 7155, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7156 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7156, expected_value: E12000007, label: geography} + - {column: D, row: 7156, expected_value: All persons, label: sex} + - {column: E, row: 7156, expected_value: Total, label: employment type} + - {column: J, row: 7156, expected_value: Value, label: measure} + - {column: L, row: 7157, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7158 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7158, expected_value: E12000007, label: geography} + - {column: D, row: 7158, expected_value: All persons, label: sex} + - {column: E, row: 7158, expected_value: Total, label: employment type} + - {column: J, row: 7158, expected_value: Value, label: measure} + - {column: L, row: 7159, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7160 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7160, expected_value: E12000007, label: geography} + - {column: D, row: 7160, expected_value: All persons, label: sex} + - {column: E, row: 7160, expected_value: Total, label: employment type} + - {column: J, row: 7160, expected_value: Value, label: measure} + - {column: L, row: 7161, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7162 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7162, expected_value: E12000007, label: geography} + - {column: D, row: 7162, expected_value: All persons, label: sex} + - {column: E, row: 7162, expected_value: Total, label: employment type} + - {column: J, row: 7162, expected_value: Value, label: measure} + - {column: L, row: 7163, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7164 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7164, expected_value: E12000007, label: geography} + - {column: D, row: 7164, expected_value: All persons, label: sex} + - {column: E, row: 7164, expected_value: Total, label: employment type} + - {column: J, row: 7164, expected_value: Value, label: measure} + - {column: L, row: 7165, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7166 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7166, expected_value: E12000007, label: geography} + - {column: D, row: 7166, expected_value: All persons, label: sex} + - {column: E, row: 7166, expected_value: Total, label: employment type} + - {column: J, row: 7166, expected_value: Value, label: measure} + - {column: L, row: 7167, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7168 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7168, expected_value: E12000007, label: geography} + - {column: D, row: 7168, expected_value: All persons, label: sex} + - {column: E, row: 7168, expected_value: Total, label: employment type} + - {column: J, row: 7168, expected_value: Value, label: measure} + - {column: L, row: 7169, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7170 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7170, expected_value: E12000007, label: geography} + - {column: D, row: 7170, expected_value: All persons, label: sex} + - {column: E, row: 7170, expected_value: Total, label: employment type} + - {column: J, row: 7170, expected_value: Value, label: measure} + - {column: L, row: 7171, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7172 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7172, expected_value: E12000007, label: geography} + - {column: D, row: 7172, expected_value: All persons, label: sex} + - {column: E, row: 7172, expected_value: Total, label: employment type} + - {column: J, row: 7172, expected_value: Value, label: measure} + - {column: L, row: 7173, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7174 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7174, expected_value: E12000007, label: geography} + - {column: D, row: 7174, expected_value: All persons, label: sex} + - {column: E, row: 7174, expected_value: Total, label: employment type} + - {column: J, row: 7174, expected_value: Value, label: measure} + - {column: L, row: 7175, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7176 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7176, expected_value: E12000007, label: geography} + - {column: D, row: 7176, expected_value: All persons, label: sex} + - {column: E, row: 7176, expected_value: Total, label: employment type} + - {column: J, row: 7176, expected_value: Value, label: measure} + - {column: L, row: 7177, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7178 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7178, expected_value: E12000007, label: geography} + - {column: D, row: 7178, expected_value: All persons, label: sex} + - {column: E, row: 7178, expected_value: Total, label: employment type} + - {column: J, row: 7178, expected_value: Value, label: measure} + - {column: L, row: 7179, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7180 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7180, expected_value: E12000007, label: geography} + - {column: D, row: 7180, expected_value: All persons, label: sex} + - {column: E, row: 7180, expected_value: Total, label: employment type} + - {column: J, row: 7180, expected_value: Value, label: measure} + - {column: L, row: 7181, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7182 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7182, expected_value: E12000007, label: geography} + - {column: D, row: 7182, expected_value: All persons, label: sex} + - {column: E, row: 7182, expected_value: Total, label: employment type} + - {column: J, row: 7182, expected_value: Value, label: measure} + - {column: L, row: 7183, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7184 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7184, expected_value: E12000007, label: geography} + - {column: D, row: 7184, expected_value: All persons, label: sex} + - {column: E, row: 7184, expected_value: Total, label: employment type} + - {column: J, row: 7184, expected_value: Value, label: measure} + - {column: L, row: 7185, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7186 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7186, expected_value: E12000007, label: geography} + - {column: D, row: 7186, expected_value: All persons, label: sex} + - {column: E, row: 7186, expected_value: Total, label: employment type} + - {column: J, row: 7186, expected_value: Value, label: measure} + - {column: L, row: 7187, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7188 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7188, expected_value: E12000007, label: geography} + - {column: D, row: 7188, expected_value: All persons, label: sex} + - {column: E, row: 7188, expected_value: Total, label: employment type} + - {column: J, row: 7188, expected_value: Value, label: measure} + - {column: L, row: 7189, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7190 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7190, expected_value: E12000007, label: geography} + - {column: D, row: 7190, expected_value: All persons, label: sex} + - {column: E, row: 7190, expected_value: Total, label: employment type} + - {column: J, row: 7190, expected_value: Value, label: measure} + - {column: L, row: 7191, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7192 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7192, expected_value: E12000007, label: geography} + - {column: D, row: 7192, expected_value: All persons, label: sex} + - {column: E, row: 7192, expected_value: Total, label: employment type} + - {column: J, row: 7192, expected_value: Value, label: measure} + - {column: L, row: 7193, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7194 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7194, expected_value: E12000007, label: geography} + - {column: D, row: 7194, expected_value: All persons, label: sex} + - {column: E, row: 7194, expected_value: Total, label: employment type} + - {column: J, row: 7194, expected_value: Value, label: measure} + - {column: L, row: 7195, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7196 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7196, expected_value: E12000007, label: geography} + - {column: D, row: 7196, expected_value: All persons, label: sex} + - {column: E, row: 7196, expected_value: Total, label: employment type} + - {column: J, row: 7196, expected_value: Value, label: measure} + - {column: L, row: 7197, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7198 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7198, expected_value: E12000007, label: geography} + - {column: D, row: 7198, expected_value: All persons, label: sex} + - {column: E, row: 7198, expected_value: Total, label: employment type} + - {column: J, row: 7198, expected_value: Value, label: measure} + - {column: L, row: 7199, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7200 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7200, expected_value: E12000007, label: geography} + - {column: D, row: 7200, expected_value: All persons, label: sex} + - {column: E, row: 7200, expected_value: Total, label: employment type} + - {column: J, row: 7200, expected_value: Value, label: measure} + - {column: L, row: 7201, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7131 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7131, expected_value: E12000007, label: geography} + - {column: D, row: 7131, expected_value: All persons, label: sex} + - {column: E, row: 7131, expected_value: Total, label: employment type} + - {column: J, row: 7131, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7133 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7133, expected_value: E12000007, label: geography} + - {column: D, row: 7133, expected_value: All persons, label: sex} + - {column: E, row: 7133, expected_value: Total, label: employment type} + - {column: J, row: 7133, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7135 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7135, expected_value: E12000007, label: geography} + - {column: D, row: 7135, expected_value: All persons, label: sex} + - {column: E, row: 7135, expected_value: Total, label: employment type} + - {column: J, row: 7135, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7137 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7137, expected_value: E12000007, label: geography} + - {column: D, row: 7137, expected_value: All persons, label: sex} + - {column: E, row: 7137, expected_value: Total, label: employment type} + - {column: J, row: 7137, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7139 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7139, expected_value: E12000007, label: geography} + - {column: D, row: 7139, expected_value: All persons, label: sex} + - {column: E, row: 7139, expected_value: Total, label: employment type} + - {column: J, row: 7139, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7141 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7141, expected_value: E12000007, label: geography} + - {column: D, row: 7141, expected_value: All persons, label: sex} + - {column: E, row: 7141, expected_value: Total, label: employment type} + - {column: J, row: 7141, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7143 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7143, expected_value: E12000007, label: geography} + - {column: D, row: 7143, expected_value: All persons, label: sex} + - {column: E, row: 7143, expected_value: Total, label: employment type} + - {column: J, row: 7143, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7145 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7145, expected_value: E12000007, label: geography} + - {column: D, row: 7145, expected_value: All persons, label: sex} + - {column: E, row: 7145, expected_value: Total, label: employment type} + - {column: J, row: 7145, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7147 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7147, expected_value: E12000007, label: geography} + - {column: D, row: 7147, expected_value: All persons, label: sex} + - {column: E, row: 7147, expected_value: Total, label: employment type} + - {column: J, row: 7147, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7149 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7149, expected_value: E12000007, label: geography} + - {column: D, row: 7149, expected_value: All persons, label: sex} + - {column: E, row: 7149, expected_value: Total, label: employment type} + - {column: J, row: 7149, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7151 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7151, expected_value: E12000007, label: geography} + - {column: D, row: 7151, expected_value: All persons, label: sex} + - {column: E, row: 7151, expected_value: Total, label: employment type} + - {column: J, row: 7151, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7153 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7153, expected_value: E12000007, label: geography} + - {column: D, row: 7153, expected_value: All persons, label: sex} + - {column: E, row: 7153, expected_value: Total, label: employment type} + - {column: J, row: 7153, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7155 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7155, expected_value: E12000007, label: geography} + - {column: D, row: 7155, expected_value: All persons, label: sex} + - {column: E, row: 7155, expected_value: Total, label: employment type} + - {column: J, row: 7155, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7157 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7157, expected_value: E12000007, label: geography} + - {column: D, row: 7157, expected_value: All persons, label: sex} + - {column: E, row: 7157, expected_value: Total, label: employment type} + - {column: J, row: 7157, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7159 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7159, expected_value: E12000007, label: geography} + - {column: D, row: 7159, expected_value: All persons, label: sex} + - {column: E, row: 7159, expected_value: Total, label: employment type} + - {column: J, row: 7159, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7161 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7161, expected_value: E12000007, label: geography} + - {column: D, row: 7161, expected_value: All persons, label: sex} + - {column: E, row: 7161, expected_value: Total, label: employment type} + - {column: J, row: 7161, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7163 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7163, expected_value: E12000007, label: geography} + - {column: D, row: 7163, expected_value: All persons, label: sex} + - {column: E, row: 7163, expected_value: Total, label: employment type} + - {column: J, row: 7163, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7165 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7165, expected_value: E12000007, label: geography} + - {column: D, row: 7165, expected_value: All persons, label: sex} + - {column: E, row: 7165, expected_value: Total, label: employment type} + - {column: J, row: 7165, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7167 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7167, expected_value: E12000007, label: geography} + - {column: D, row: 7167, expected_value: All persons, label: sex} + - {column: E, row: 7167, expected_value: Total, label: employment type} + - {column: J, row: 7167, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7169 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7169, expected_value: E12000007, label: geography} + - {column: D, row: 7169, expected_value: All persons, label: sex} + - {column: E, row: 7169, expected_value: Total, label: employment type} + - {column: J, row: 7169, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7171 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7171, expected_value: E12000007, label: geography} + - {column: D, row: 7171, expected_value: All persons, label: sex} + - {column: E, row: 7171, expected_value: Total, label: employment type} + - {column: J, row: 7171, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7173 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7173, expected_value: E12000007, label: geography} + - {column: D, row: 7173, expected_value: All persons, label: sex} + - {column: E, row: 7173, expected_value: Total, label: employment type} + - {column: J, row: 7173, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7175 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7175, expected_value: E12000007, label: geography} + - {column: D, row: 7175, expected_value: All persons, label: sex} + - {column: E, row: 7175, expected_value: Total, label: employment type} + - {column: J, row: 7175, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7177 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7177, expected_value: E12000007, label: geography} + - {column: D, row: 7177, expected_value: All persons, label: sex} + - {column: E, row: 7177, expected_value: Total, label: employment type} + - {column: J, row: 7177, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7179 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7179, expected_value: E12000007, label: geography} + - {column: D, row: 7179, expected_value: All persons, label: sex} + - {column: E, row: 7179, expected_value: Total, label: employment type} + - {column: J, row: 7179, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7181 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7181, expected_value: E12000007, label: geography} + - {column: D, row: 7181, expected_value: All persons, label: sex} + - {column: E, row: 7181, expected_value: Total, label: employment type} + - {column: J, row: 7181, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7185 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7185, expected_value: E12000007, label: geography} + - {column: D, row: 7185, expected_value: All persons, label: sex} + - {column: E, row: 7185, expected_value: Total, label: employment type} + - {column: J, row: 7185, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7187 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7187, expected_value: E12000007, label: geography} + - {column: D, row: 7187, expected_value: All persons, label: sex} + - {column: E, row: 7187, expected_value: Total, label: employment type} + - {column: J, row: 7187, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7189 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7189, expected_value: E12000007, label: geography} + - {column: D, row: 7189, expected_value: All persons, label: sex} + - {column: E, row: 7189, expected_value: Total, label: employment type} + - {column: J, row: 7189, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7191 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7191, expected_value: E12000007, label: geography} + - {column: D, row: 7191, expected_value: All persons, label: sex} + - {column: E, row: 7191, expected_value: Total, label: employment type} + - {column: J, row: 7191, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7193 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7193, expected_value: E12000007, label: geography} + - {column: D, row: 7193, expected_value: All persons, label: sex} + - {column: E, row: 7193, expected_value: Total, label: employment type} + - {column: J, row: 7193, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7195 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7195, expected_value: E12000007, label: geography} + - {column: D, row: 7195, expected_value: All persons, label: sex} + - {column: E, row: 7195, expected_value: Total, label: employment type} + - {column: J, row: 7195, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7197 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7197, expected_value: E12000007, label: geography} + - {column: D, row: 7197, expected_value: All persons, label: sex} + - {column: E, row: 7197, expected_value: Total, label: employment type} + - {column: J, row: 7197, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7199 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7199, expected_value: E12000007, label: geography} + - {column: D, row: 7199, expected_value: All persons, label: sex} + - {column: E, row: 7199, expected_value: Total, label: employment type} + - {column: J, row: 7199, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7201 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7201, expected_value: E12000007, label: geography} + - {column: D, row: 7201, expected_value: All persons, label: sex} + - {column: E, row: 7201, expected_value: Total, label: employment type} + - {column: J, row: 7201, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7346 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7346, expected_value: E12000007, label: geography} + - {column: D, row: 7346, expected_value: All persons, label: sex} + - {column: E, row: 7346, expected_value: Employee, label: employment type} + - {column: J, row: 7346, expected_value: Value, label: measure} + - {column: L, row: 7347, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7348 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7348, expected_value: E12000007, label: geography} + - {column: D, row: 7348, expected_value: All persons, label: sex} + - {column: E, row: 7348, expected_value: Employee, label: employment type} + - {column: J, row: 7348, expected_value: Value, label: measure} + - {column: L, row: 7349, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7350 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7350, expected_value: E12000007, label: geography} + - {column: D, row: 7350, expected_value: All persons, label: sex} + - {column: E, row: 7350, expected_value: Employee, label: employment type} + - {column: J, row: 7350, expected_value: Value, label: measure} + - {column: L, row: 7351, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7352 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7352, expected_value: E12000007, label: geography} + - {column: D, row: 7352, expected_value: All persons, label: sex} + - {column: E, row: 7352, expected_value: Employee, label: employment type} + - {column: J, row: 7352, expected_value: Value, label: measure} + - {column: L, row: 7353, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7354 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7354, expected_value: E12000007, label: geography} + - {column: D, row: 7354, expected_value: All persons, label: sex} + - {column: E, row: 7354, expected_value: Employee, label: employment type} + - {column: J, row: 7354, expected_value: Value, label: measure} + - {column: L, row: 7355, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7356 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7356, expected_value: E12000007, label: geography} + - {column: D, row: 7356, expected_value: All persons, label: sex} + - {column: E, row: 7356, expected_value: Employee, label: employment type} + - {column: J, row: 7356, expected_value: Value, label: measure} + - {column: L, row: 7357, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7358 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7358, expected_value: E12000007, label: geography} + - {column: D, row: 7358, expected_value: All persons, label: sex} + - {column: E, row: 7358, expected_value: Employee, label: employment type} + - {column: J, row: 7358, expected_value: Value, label: measure} + - {column: L, row: 7359, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7360 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7360, expected_value: E12000007, label: geography} + - {column: D, row: 7360, expected_value: All persons, label: sex} + - {column: E, row: 7360, expected_value: Employee, label: employment type} + - {column: J, row: 7360, expected_value: Value, label: measure} + - {column: L, row: 7361, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7362 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7362, expected_value: E12000007, label: geography} + - {column: D, row: 7362, expected_value: All persons, label: sex} + - {column: E, row: 7362, expected_value: Employee, label: employment type} + - {column: J, row: 7362, expected_value: Value, label: measure} + - {column: L, row: 7363, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7364 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7364, expected_value: E12000007, label: geography} + - {column: D, row: 7364, expected_value: All persons, label: sex} + - {column: E, row: 7364, expected_value: Employee, label: employment type} + - {column: J, row: 7364, expected_value: Value, label: measure} + - {column: L, row: 7365, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7366 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7366, expected_value: E12000007, label: geography} + - {column: D, row: 7366, expected_value: All persons, label: sex} + - {column: E, row: 7366, expected_value: Employee, label: employment type} + - {column: J, row: 7366, expected_value: Value, label: measure} + - {column: L, row: 7367, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7368 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7368, expected_value: E12000007, label: geography} + - {column: D, row: 7368, expected_value: All persons, label: sex} + - {column: E, row: 7368, expected_value: Employee, label: employment type} + - {column: J, row: 7368, expected_value: Value, label: measure} + - {column: L, row: 7369, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7370 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7370, expected_value: E12000007, label: geography} + - {column: D, row: 7370, expected_value: All persons, label: sex} + - {column: E, row: 7370, expected_value: Employee, label: employment type} + - {column: J, row: 7370, expected_value: Value, label: measure} + - {column: L, row: 7371, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7372 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7372, expected_value: E12000007, label: geography} + - {column: D, row: 7372, expected_value: All persons, label: sex} + - {column: E, row: 7372, expected_value: Employee, label: employment type} + - {column: J, row: 7372, expected_value: Value, label: measure} + - {column: L, row: 7373, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7374 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7374, expected_value: E12000007, label: geography} + - {column: D, row: 7374, expected_value: All persons, label: sex} + - {column: E, row: 7374, expected_value: Employee, label: employment type} + - {column: J, row: 7374, expected_value: Value, label: measure} + - {column: L, row: 7375, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7376 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7376, expected_value: E12000007, label: geography} + - {column: D, row: 7376, expected_value: All persons, label: sex} + - {column: E, row: 7376, expected_value: Employee, label: employment type} + - {column: J, row: 7376, expected_value: Value, label: measure} + - {column: L, row: 7377, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7378 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7378, expected_value: E12000007, label: geography} + - {column: D, row: 7378, expected_value: All persons, label: sex} + - {column: E, row: 7378, expected_value: Employee, label: employment type} + - {column: J, row: 7378, expected_value: Value, label: measure} + - {column: L, row: 7379, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7380 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7380, expected_value: E12000007, label: geography} + - {column: D, row: 7380, expected_value: All persons, label: sex} + - {column: E, row: 7380, expected_value: Employee, label: employment type} + - {column: J, row: 7380, expected_value: Value, label: measure} + - {column: L, row: 7381, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7382 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7382, expected_value: E12000007, label: geography} + - {column: D, row: 7382, expected_value: All persons, label: sex} + - {column: E, row: 7382, expected_value: Employee, label: employment type} + - {column: J, row: 7382, expected_value: Value, label: measure} + - {column: L, row: 7383, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7384 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7384, expected_value: E12000007, label: geography} + - {column: D, row: 7384, expected_value: All persons, label: sex} + - {column: E, row: 7384, expected_value: Employee, label: employment type} + - {column: J, row: 7384, expected_value: Value, label: measure} + - {column: L, row: 7385, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7386 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7386, expected_value: E12000007, label: geography} + - {column: D, row: 7386, expected_value: All persons, label: sex} + - {column: E, row: 7386, expected_value: Employee, label: employment type} + - {column: J, row: 7386, expected_value: Value, label: measure} + - {column: L, row: 7387, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7388 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7388, expected_value: E12000007, label: geography} + - {column: D, row: 7388, expected_value: All persons, label: sex} + - {column: E, row: 7388, expected_value: Employee, label: employment type} + - {column: J, row: 7388, expected_value: Value, label: measure} + - {column: L, row: 7389, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7390 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7390, expected_value: E12000007, label: geography} + - {column: D, row: 7390, expected_value: All persons, label: sex} + - {column: E, row: 7390, expected_value: Employee, label: employment type} + - {column: J, row: 7390, expected_value: Value, label: measure} + - {column: L, row: 7391, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7392 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7392, expected_value: E12000007, label: geography} + - {column: D, row: 7392, expected_value: All persons, label: sex} + - {column: E, row: 7392, expected_value: Employee, label: employment type} + - {column: J, row: 7392, expected_value: Value, label: measure} + - {column: L, row: 7393, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7394 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7394, expected_value: E12000007, label: geography} + - {column: D, row: 7394, expected_value: All persons, label: sex} + - {column: E, row: 7394, expected_value: Employee, label: employment type} + - {column: J, row: 7394, expected_value: Value, label: measure} + - {column: L, row: 7395, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7396 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7396, expected_value: E12000007, label: geography} + - {column: D, row: 7396, expected_value: All persons, label: sex} + - {column: E, row: 7396, expected_value: Employee, label: employment type} + - {column: J, row: 7396, expected_value: Value, label: measure} + - {column: L, row: 7397, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7398 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7398, expected_value: E12000007, label: geography} + - {column: D, row: 7398, expected_value: All persons, label: sex} + - {column: E, row: 7398, expected_value: Employee, label: employment type} + - {column: J, row: 7398, expected_value: Value, label: measure} + - {column: L, row: 7399, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7400 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7400, expected_value: E12000007, label: geography} + - {column: D, row: 7400, expected_value: All persons, label: sex} + - {column: E, row: 7400, expected_value: Employee, label: employment type} + - {column: J, row: 7400, expected_value: Value, label: measure} + - {column: L, row: 7401, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7402 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7402, expected_value: E12000007, label: geography} + - {column: D, row: 7402, expected_value: All persons, label: sex} + - {column: E, row: 7402, expected_value: Employee, label: employment type} + - {column: J, row: 7402, expected_value: Value, label: measure} + - {column: L, row: 7403, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7404 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7404, expected_value: E12000007, label: geography} + - {column: D, row: 7404, expected_value: All persons, label: sex} + - {column: E, row: 7404, expected_value: Employee, label: employment type} + - {column: J, row: 7404, expected_value: Value, label: measure} + - {column: L, row: 7405, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7406 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7406, expected_value: E12000007, label: geography} + - {column: D, row: 7406, expected_value: All persons, label: sex} + - {column: E, row: 7406, expected_value: Employee, label: employment type} + - {column: J, row: 7406, expected_value: Value, label: measure} + - {column: L, row: 7407, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7408 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7408, expected_value: E12000007, label: geography} + - {column: D, row: 7408, expected_value: All persons, label: sex} + - {column: E, row: 7408, expected_value: Employee, label: employment type} + - {column: J, row: 7408, expected_value: Value, label: measure} + - {column: L, row: 7409, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7410 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7410, expected_value: E12000007, label: geography} + - {column: D, row: 7410, expected_value: All persons, label: sex} + - {column: E, row: 7410, expected_value: Employee, label: employment type} + - {column: J, row: 7410, expected_value: Value, label: measure} + - {column: L, row: 7411, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7412 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7412, expected_value: E12000007, label: geography} + - {column: D, row: 7412, expected_value: All persons, label: sex} + - {column: E, row: 7412, expected_value: Employee, label: employment type} + - {column: J, row: 7412, expected_value: Value, label: measure} + - {column: L, row: 7413, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7414 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7414, expected_value: E12000007, label: geography} + - {column: D, row: 7414, expected_value: All persons, label: sex} + - {column: E, row: 7414, expected_value: Employee, label: employment type} + - {column: J, row: 7414, expected_value: Value, label: measure} + - {column: L, row: 7415, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7416 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7416, expected_value: E12000007, label: geography} + - {column: D, row: 7416, expected_value: All persons, label: sex} + - {column: E, row: 7416, expected_value: Employee, label: employment type} + - {column: J, row: 7416, expected_value: Value, label: measure} + - {column: L, row: 7417, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7347 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7347, expected_value: E12000007, label: geography} + - {column: D, row: 7347, expected_value: All persons, label: sex} + - {column: E, row: 7347, expected_value: Employee, label: employment type} + - {column: J, row: 7347, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7349 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7349, expected_value: E12000007, label: geography} + - {column: D, row: 7349, expected_value: All persons, label: sex} + - {column: E, row: 7349, expected_value: Employee, label: employment type} + - {column: J, row: 7349, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7351 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7351, expected_value: E12000007, label: geography} + - {column: D, row: 7351, expected_value: All persons, label: sex} + - {column: E, row: 7351, expected_value: Employee, label: employment type} + - {column: J, row: 7351, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7353 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7353, expected_value: E12000007, label: geography} + - {column: D, row: 7353, expected_value: All persons, label: sex} + - {column: E, row: 7353, expected_value: Employee, label: employment type} + - {column: J, row: 7353, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7355 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7355, expected_value: E12000007, label: geography} + - {column: D, row: 7355, expected_value: All persons, label: sex} + - {column: E, row: 7355, expected_value: Employee, label: employment type} + - {column: J, row: 7355, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7357 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7357, expected_value: E12000007, label: geography} + - {column: D, row: 7357, expected_value: All persons, label: sex} + - {column: E, row: 7357, expected_value: Employee, label: employment type} + - {column: J, row: 7357, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7359 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7359, expected_value: E12000007, label: geography} + - {column: D, row: 7359, expected_value: All persons, label: sex} + - {column: E, row: 7359, expected_value: Employee, label: employment type} + - {column: J, row: 7359, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7361 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7361, expected_value: E12000007, label: geography} + - {column: D, row: 7361, expected_value: All persons, label: sex} + - {column: E, row: 7361, expected_value: Employee, label: employment type} + - {column: J, row: 7361, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7363 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7363, expected_value: E12000007, label: geography} + - {column: D, row: 7363, expected_value: All persons, label: sex} + - {column: E, row: 7363, expected_value: Employee, label: employment type} + - {column: J, row: 7363, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7365 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7365, expected_value: E12000007, label: geography} + - {column: D, row: 7365, expected_value: All persons, label: sex} + - {column: E, row: 7365, expected_value: Employee, label: employment type} + - {column: J, row: 7365, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7367 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7367, expected_value: E12000007, label: geography} + - {column: D, row: 7367, expected_value: All persons, label: sex} + - {column: E, row: 7367, expected_value: Employee, label: employment type} + - {column: J, row: 7367, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7369 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7369, expected_value: E12000007, label: geography} + - {column: D, row: 7369, expected_value: All persons, label: sex} + - {column: E, row: 7369, expected_value: Employee, label: employment type} + - {column: J, row: 7369, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7371 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7371, expected_value: E12000007, label: geography} + - {column: D, row: 7371, expected_value: All persons, label: sex} + - {column: E, row: 7371, expected_value: Employee, label: employment type} + - {column: J, row: 7371, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7373 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7373, expected_value: E12000007, label: geography} + - {column: D, row: 7373, expected_value: All persons, label: sex} + - {column: E, row: 7373, expected_value: Employee, label: employment type} + - {column: J, row: 7373, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7375 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7375, expected_value: E12000007, label: geography} + - {column: D, row: 7375, expected_value: All persons, label: sex} + - {column: E, row: 7375, expected_value: Employee, label: employment type} + - {column: J, row: 7375, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7377 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7377, expected_value: E12000007, label: geography} + - {column: D, row: 7377, expected_value: All persons, label: sex} + - {column: E, row: 7377, expected_value: Employee, label: employment type} + - {column: J, row: 7377, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7379 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7379, expected_value: E12000007, label: geography} + - {column: D, row: 7379, expected_value: All persons, label: sex} + - {column: E, row: 7379, expected_value: Employee, label: employment type} + - {column: J, row: 7379, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7381 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7381, expected_value: E12000007, label: geography} + - {column: D, row: 7381, expected_value: All persons, label: sex} + - {column: E, row: 7381, expected_value: Employee, label: employment type} + - {column: J, row: 7381, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7383 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7383, expected_value: E12000007, label: geography} + - {column: D, row: 7383, expected_value: All persons, label: sex} + - {column: E, row: 7383, expected_value: Employee, label: employment type} + - {column: J, row: 7383, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7385 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7385, expected_value: E12000007, label: geography} + - {column: D, row: 7385, expected_value: All persons, label: sex} + - {column: E, row: 7385, expected_value: Employee, label: employment type} + - {column: J, row: 7385, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7387 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7387, expected_value: E12000007, label: geography} + - {column: D, row: 7387, expected_value: All persons, label: sex} + - {column: E, row: 7387, expected_value: Employee, label: employment type} + - {column: J, row: 7387, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7389 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7389, expected_value: E12000007, label: geography} + - {column: D, row: 7389, expected_value: All persons, label: sex} + - {column: E, row: 7389, expected_value: Employee, label: employment type} + - {column: J, row: 7389, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7391 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7391, expected_value: E12000007, label: geography} + - {column: D, row: 7391, expected_value: All persons, label: sex} + - {column: E, row: 7391, expected_value: Employee, label: employment type} + - {column: J, row: 7391, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7393 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7393, expected_value: E12000007, label: geography} + - {column: D, row: 7393, expected_value: All persons, label: sex} + - {column: E, row: 7393, expected_value: Employee, label: employment type} + - {column: J, row: 7393, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7395 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7395, expected_value: E12000007, label: geography} + - {column: D, row: 7395, expected_value: All persons, label: sex} + - {column: E, row: 7395, expected_value: Employee, label: employment type} + - {column: J, row: 7395, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7397 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7397, expected_value: E12000007, label: geography} + - {column: D, row: 7397, expected_value: All persons, label: sex} + - {column: E, row: 7397, expected_value: Employee, label: employment type} + - {column: J, row: 7397, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7401 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7401, expected_value: E12000007, label: geography} + - {column: D, row: 7401, expected_value: All persons, label: sex} + - {column: E, row: 7401, expected_value: Employee, label: employment type} + - {column: J, row: 7401, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7403 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7403, expected_value: E12000007, label: geography} + - {column: D, row: 7403, expected_value: All persons, label: sex} + - {column: E, row: 7403, expected_value: Employee, label: employment type} + - {column: J, row: 7403, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7405 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7405, expected_value: E12000007, label: geography} + - {column: D, row: 7405, expected_value: All persons, label: sex} + - {column: E, row: 7405, expected_value: Employee, label: employment type} + - {column: J, row: 7405, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7407 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7407, expected_value: E12000007, label: geography} + - {column: D, row: 7407, expected_value: All persons, label: sex} + - {column: E, row: 7407, expected_value: Employee, label: employment type} + - {column: J, row: 7407, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7409 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7409, expected_value: E12000007, label: geography} + - {column: D, row: 7409, expected_value: All persons, label: sex} + - {column: E, row: 7409, expected_value: Employee, label: employment type} + - {column: J, row: 7409, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7411 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7411, expected_value: E12000007, label: geography} + - {column: D, row: 7411, expected_value: All persons, label: sex} + - {column: E, row: 7411, expected_value: Employee, label: employment type} + - {column: J, row: 7411, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7413 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7413, expected_value: E12000007, label: geography} + - {column: D, row: 7413, expected_value: All persons, label: sex} + - {column: E, row: 7413, expected_value: Employee, label: employment type} + - {column: J, row: 7413, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7415 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7415, expected_value: E12000007, label: geography} + - {column: D, row: 7415, expected_value: All persons, label: sex} + - {column: E, row: 7415, expected_value: Employee, label: employment type} + - {column: J, row: 7415, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7417 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7417, expected_value: E12000007, label: geography} + - {column: D, row: 7417, expected_value: All persons, label: sex} + - {column: E, row: 7417, expected_value: Employee, label: employment type} + - {column: J, row: 7417, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7562 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7562, expected_value: E12000007, label: geography} + - {column: D, row: 7562, expected_value: All persons, label: sex} + - {column: E, row: 7562, expected_value: Self-employed, label: employment type} + - {column: J, row: 7562, expected_value: Value, label: measure} + - {column: L, row: 7563, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7564 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7564, expected_value: E12000007, label: geography} + - {column: D, row: 7564, expected_value: All persons, label: sex} + - {column: E, row: 7564, expected_value: Self-employed, label: employment type} + - {column: J, row: 7564, expected_value: Value, label: measure} + - {column: L, row: 7565, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7566 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7566, expected_value: E12000007, label: geography} + - {column: D, row: 7566, expected_value: All persons, label: sex} + - {column: E, row: 7566, expected_value: Self-employed, label: employment type} + - {column: J, row: 7566, expected_value: Value, label: measure} + - {column: L, row: 7567, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7568 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7568, expected_value: E12000007, label: geography} + - {column: D, row: 7568, expected_value: All persons, label: sex} + - {column: E, row: 7568, expected_value: Self-employed, label: employment type} + - {column: J, row: 7568, expected_value: Value, label: measure} + - {column: L, row: 7569, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7570 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7570, expected_value: E12000007, label: geography} + - {column: D, row: 7570, expected_value: All persons, label: sex} + - {column: E, row: 7570, expected_value: Self-employed, label: employment type} + - {column: J, row: 7570, expected_value: Value, label: measure} + - {column: L, row: 7571, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7572 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7572, expected_value: E12000007, label: geography} + - {column: D, row: 7572, expected_value: All persons, label: sex} + - {column: E, row: 7572, expected_value: Self-employed, label: employment type} + - {column: J, row: 7572, expected_value: Value, label: measure} + - {column: L, row: 7573, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7574 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7574, expected_value: E12000007, label: geography} + - {column: D, row: 7574, expected_value: All persons, label: sex} + - {column: E, row: 7574, expected_value: Self-employed, label: employment type} + - {column: J, row: 7574, expected_value: Value, label: measure} + - {column: L, row: 7575, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7576 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7576, expected_value: E12000007, label: geography} + - {column: D, row: 7576, expected_value: All persons, label: sex} + - {column: E, row: 7576, expected_value: Self-employed, label: employment type} + - {column: J, row: 7576, expected_value: Value, label: measure} + - {column: L, row: 7577, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7578 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7578, expected_value: E12000007, label: geography} + - {column: D, row: 7578, expected_value: All persons, label: sex} + - {column: E, row: 7578, expected_value: Self-employed, label: employment type} + - {column: J, row: 7578, expected_value: Value, label: measure} + - {column: L, row: 7579, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7580 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7580, expected_value: E12000007, label: geography} + - {column: D, row: 7580, expected_value: All persons, label: sex} + - {column: E, row: 7580, expected_value: Self-employed, label: employment type} + - {column: J, row: 7580, expected_value: Value, label: measure} + - {column: L, row: 7581, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7582 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7582, expected_value: E12000007, label: geography} + - {column: D, row: 7582, expected_value: All persons, label: sex} + - {column: E, row: 7582, expected_value: Self-employed, label: employment type} + - {column: J, row: 7582, expected_value: Value, label: measure} + - {column: L, row: 7583, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7584 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7584, expected_value: E12000007, label: geography} + - {column: D, row: 7584, expected_value: All persons, label: sex} + - {column: E, row: 7584, expected_value: Self-employed, label: employment type} + - {column: J, row: 7584, expected_value: Value, label: measure} + - {column: L, row: 7585, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7588 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7588, expected_value: E12000007, label: geography} + - {column: D, row: 7588, expected_value: All persons, label: sex} + - {column: E, row: 7588, expected_value: Self-employed, label: employment type} + - {column: J, row: 7588, expected_value: Value, label: measure} + - {column: L, row: 7589, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7590 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7590, expected_value: E12000007, label: geography} + - {column: D, row: 7590, expected_value: All persons, label: sex} + - {column: E, row: 7590, expected_value: Self-employed, label: employment type} + - {column: J, row: 7590, expected_value: Value, label: measure} + - {column: L, row: 7591, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7592 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7592, expected_value: E12000007, label: geography} + - {column: D, row: 7592, expected_value: All persons, label: sex} + - {column: E, row: 7592, expected_value: Self-employed, label: employment type} + - {column: J, row: 7592, expected_value: Value, label: measure} + - {column: L, row: 7593, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7594 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7594, expected_value: E12000007, label: geography} + - {column: D, row: 7594, expected_value: All persons, label: sex} + - {column: E, row: 7594, expected_value: Self-employed, label: employment type} + - {column: J, row: 7594, expected_value: Value, label: measure} + - {column: L, row: 7595, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7596 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7596, expected_value: E12000007, label: geography} + - {column: D, row: 7596, expected_value: All persons, label: sex} + - {column: E, row: 7596, expected_value: Self-employed, label: employment type} + - {column: J, row: 7596, expected_value: Value, label: measure} + - {column: L, row: 7597, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7598 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7598, expected_value: E12000007, label: geography} + - {column: D, row: 7598, expected_value: All persons, label: sex} + - {column: E, row: 7598, expected_value: Self-employed, label: employment type} + - {column: J, row: 7598, expected_value: Value, label: measure} + - {column: L, row: 7599, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7600 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7600, expected_value: E12000007, label: geography} + - {column: D, row: 7600, expected_value: All persons, label: sex} + - {column: E, row: 7600, expected_value: Self-employed, label: employment type} + - {column: J, row: 7600, expected_value: Value, label: measure} + - {column: L, row: 7601, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7602 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7602, expected_value: E12000007, label: geography} + - {column: D, row: 7602, expected_value: All persons, label: sex} + - {column: E, row: 7602, expected_value: Self-employed, label: employment type} + - {column: J, row: 7602, expected_value: Value, label: measure} + - {column: L, row: 7603, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7604 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7604, expected_value: E12000007, label: geography} + - {column: D, row: 7604, expected_value: All persons, label: sex} + - {column: E, row: 7604, expected_value: Self-employed, label: employment type} + - {column: J, row: 7604, expected_value: Value, label: measure} + - {column: L, row: 7605, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7606 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7606, expected_value: E12000007, label: geography} + - {column: D, row: 7606, expected_value: All persons, label: sex} + - {column: E, row: 7606, expected_value: Self-employed, label: employment type} + - {column: J, row: 7606, expected_value: Value, label: measure} + - {column: L, row: 7607, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7608 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7608, expected_value: E12000007, label: geography} + - {column: D, row: 7608, expected_value: All persons, label: sex} + - {column: E, row: 7608, expected_value: Self-employed, label: employment type} + - {column: J, row: 7608, expected_value: Value, label: measure} + - {column: L, row: 7609, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7610 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7610, expected_value: E12000007, label: geography} + - {column: D, row: 7610, expected_value: All persons, label: sex} + - {column: E, row: 7610, expected_value: Self-employed, label: employment type} + - {column: J, row: 7610, expected_value: Value, label: measure} + - {column: L, row: 7611, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7612 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7612, expected_value: E12000007, label: geography} + - {column: D, row: 7612, expected_value: All persons, label: sex} + - {column: E, row: 7612, expected_value: Self-employed, label: employment type} + - {column: J, row: 7612, expected_value: Value, label: measure} + - {column: L, row: 7613, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7616 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7616, expected_value: E12000007, label: geography} + - {column: D, row: 7616, expected_value: All persons, label: sex} + - {column: E, row: 7616, expected_value: Self-employed, label: employment type} + - {column: J, row: 7616, expected_value: Value, label: measure} + - {column: L, row: 7617, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7618 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7618, expected_value: E12000007, label: geography} + - {column: D, row: 7618, expected_value: All persons, label: sex} + - {column: E, row: 7618, expected_value: Self-employed, label: employment type} + - {column: J, row: 7618, expected_value: Value, label: measure} + - {column: L, row: 7619, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7620 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7620, expected_value: E12000007, label: geography} + - {column: D, row: 7620, expected_value: All persons, label: sex} + - {column: E, row: 7620, expected_value: Self-employed, label: employment type} + - {column: J, row: 7620, expected_value: Value, label: measure} + - {column: L, row: 7621, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7622 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7622, expected_value: E12000007, label: geography} + - {column: D, row: 7622, expected_value: All persons, label: sex} + - {column: E, row: 7622, expected_value: Self-employed, label: employment type} + - {column: J, row: 7622, expected_value: Value, label: measure} + - {column: L, row: 7623, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7624 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7624, expected_value: E12000007, label: geography} + - {column: D, row: 7624, expected_value: All persons, label: sex} + - {column: E, row: 7624, expected_value: Self-employed, label: employment type} + - {column: J, row: 7624, expected_value: Value, label: measure} + - {column: L, row: 7625, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7626 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7626, expected_value: E12000007, label: geography} + - {column: D, row: 7626, expected_value: All persons, label: sex} + - {column: E, row: 7626, expected_value: Self-employed, label: employment type} + - {column: J, row: 7626, expected_value: Value, label: measure} + - {column: L, row: 7627, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7628 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7628, expected_value: E12000007, label: geography} + - {column: D, row: 7628, expected_value: All persons, label: sex} + - {column: E, row: 7628, expected_value: Self-employed, label: employment type} + - {column: J, row: 7628, expected_value: Value, label: measure} + - {column: L, row: 7629, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7630 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7630, expected_value: E12000007, label: geography} + - {column: D, row: 7630, expected_value: All persons, label: sex} + - {column: E, row: 7630, expected_value: Self-employed, label: employment type} + - {column: J, row: 7630, expected_value: Value, label: measure} + - {column: L, row: 7631, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7632 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7632, expected_value: E12000007, label: geography} + - {column: D, row: 7632, expected_value: All persons, label: sex} + - {column: E, row: 7632, expected_value: Self-employed, label: employment type} + - {column: J, row: 7632, expected_value: Value, label: measure} + - {column: L, row: 7633, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7563 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7563, expected_value: E12000007, label: geography} + - {column: D, row: 7563, expected_value: All persons, label: sex} + - {column: E, row: 7563, expected_value: Self-employed, label: employment type} + - {column: J, row: 7563, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7565 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7565, expected_value: E12000007, label: geography} + - {column: D, row: 7565, expected_value: All persons, label: sex} + - {column: E, row: 7565, expected_value: Self-employed, label: employment type} + - {column: J, row: 7565, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7567 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7567, expected_value: E12000007, label: geography} + - {column: D, row: 7567, expected_value: All persons, label: sex} + - {column: E, row: 7567, expected_value: Self-employed, label: employment type} + - {column: J, row: 7567, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7569 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7569, expected_value: E12000007, label: geography} + - {column: D, row: 7569, expected_value: All persons, label: sex} + - {column: E, row: 7569, expected_value: Self-employed, label: employment type} + - {column: J, row: 7569, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7571 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7571, expected_value: E12000007, label: geography} + - {column: D, row: 7571, expected_value: All persons, label: sex} + - {column: E, row: 7571, expected_value: Self-employed, label: employment type} + - {column: J, row: 7571, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7573 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7573, expected_value: E12000007, label: geography} + - {column: D, row: 7573, expected_value: All persons, label: sex} + - {column: E, row: 7573, expected_value: Self-employed, label: employment type} + - {column: J, row: 7573, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7575 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7575, expected_value: E12000007, label: geography} + - {column: D, row: 7575, expected_value: All persons, label: sex} + - {column: E, row: 7575, expected_value: Self-employed, label: employment type} + - {column: J, row: 7575, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7577 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7577, expected_value: E12000007, label: geography} + - {column: D, row: 7577, expected_value: All persons, label: sex} + - {column: E, row: 7577, expected_value: Self-employed, label: employment type} + - {column: J, row: 7577, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7579 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7579, expected_value: E12000007, label: geography} + - {column: D, row: 7579, expected_value: All persons, label: sex} + - {column: E, row: 7579, expected_value: Self-employed, label: employment type} + - {column: J, row: 7579, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7581 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7581, expected_value: E12000007, label: geography} + - {column: D, row: 7581, expected_value: All persons, label: sex} + - {column: E, row: 7581, expected_value: Self-employed, label: employment type} + - {column: J, row: 7581, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7585 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7585, expected_value: E12000007, label: geography} + - {column: D, row: 7585, expected_value: All persons, label: sex} + - {column: E, row: 7585, expected_value: Self-employed, label: employment type} + - {column: J, row: 7585, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7589 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7589, expected_value: E12000007, label: geography} + - {column: D, row: 7589, expected_value: All persons, label: sex} + - {column: E, row: 7589, expected_value: Self-employed, label: employment type} + - {column: J, row: 7589, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7591 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7591, expected_value: E12000007, label: geography} + - {column: D, row: 7591, expected_value: All persons, label: sex} + - {column: E, row: 7591, expected_value: Self-employed, label: employment type} + - {column: J, row: 7591, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7593 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7593, expected_value: E12000007, label: geography} + - {column: D, row: 7593, expected_value: All persons, label: sex} + - {column: E, row: 7593, expected_value: Self-employed, label: employment type} + - {column: J, row: 7593, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7595 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7595, expected_value: E12000007, label: geography} + - {column: D, row: 7595, expected_value: All persons, label: sex} + - {column: E, row: 7595, expected_value: Self-employed, label: employment type} + - {column: J, row: 7595, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7599 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7599, expected_value: E12000007, label: geography} + - {column: D, row: 7599, expected_value: All persons, label: sex} + - {column: E, row: 7599, expected_value: Self-employed, label: employment type} + - {column: J, row: 7599, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7603 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7603, expected_value: E12000007, label: geography} + - {column: D, row: 7603, expected_value: All persons, label: sex} + - {column: E, row: 7603, expected_value: Self-employed, label: employment type} + - {column: J, row: 7603, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7605 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7605, expected_value: E12000007, label: geography} + - {column: D, row: 7605, expected_value: All persons, label: sex} + - {column: E, row: 7605, expected_value: Self-employed, label: employment type} + - {column: J, row: 7605, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7607 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7607, expected_value: E12000007, label: geography} + - {column: D, row: 7607, expected_value: All persons, label: sex} + - {column: E, row: 7607, expected_value: Self-employed, label: employment type} + - {column: J, row: 7607, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7609 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7609, expected_value: E12000007, label: geography} + - {column: D, row: 7609, expected_value: All persons, label: sex} + - {column: E, row: 7609, expected_value: Self-employed, label: employment type} + - {column: J, row: 7609, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7611 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7611, expected_value: E12000007, label: geography} + - {column: D, row: 7611, expected_value: All persons, label: sex} + - {column: E, row: 7611, expected_value: Self-employed, label: employment type} + - {column: J, row: 7611, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7613 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7613, expected_value: E12000007, label: geography} + - {column: D, row: 7613, expected_value: All persons, label: sex} + - {column: E, row: 7613, expected_value: Self-employed, label: employment type} + - {column: J, row: 7613, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7617 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7617, expected_value: E12000007, label: geography} + - {column: D, row: 7617, expected_value: All persons, label: sex} + - {column: E, row: 7617, expected_value: Self-employed, label: employment type} + - {column: J, row: 7617, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7619 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7619, expected_value: E12000007, label: geography} + - {column: D, row: 7619, expected_value: All persons, label: sex} + - {column: E, row: 7619, expected_value: Self-employed, label: employment type} + - {column: J, row: 7619, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7623 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7623, expected_value: E12000007, label: geography} + - {column: D, row: 7623, expected_value: All persons, label: sex} + - {column: E, row: 7623, expected_value: Self-employed, label: employment type} + - {column: J, row: 7623, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7625 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7625, expected_value: E12000007, label: geography} + - {column: D, row: 7625, expected_value: All persons, label: sex} + - {column: E, row: 7625, expected_value: Self-employed, label: employment type} + - {column: J, row: 7625, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7627 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7627, expected_value: E12000007, label: geography} + - {column: D, row: 7627, expected_value: All persons, label: sex} + - {column: E, row: 7627, expected_value: Self-employed, label: employment type} + - {column: J, row: 7627, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7629 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7629, expected_value: E12000007, label: geography} + - {column: D, row: 7629, expected_value: All persons, label: sex} + - {column: E, row: 7629, expected_value: Self-employed, label: employment type} + - {column: J, row: 7629, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7633 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7633, expected_value: E12000007, label: geography} + - {column: D, row: 7633, expected_value: All persons, label: sex} + - {column: E, row: 7633, expected_value: Self-employed, label: employment type} + - {column: J, row: 7633, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7202 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7202, expected_value: E12000007, label: geography} + - {column: D, row: 7202, expected_value: Males, label: sex} + - {column: E, row: 7202, expected_value: Total, label: employment type} + - {column: J, row: 7202, expected_value: Value, label: measure} + - {column: L, row: 7203, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7204 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7204, expected_value: E12000007, label: geography} + - {column: D, row: 7204, expected_value: Males, label: sex} + - {column: E, row: 7204, expected_value: Total, label: employment type} + - {column: J, row: 7204, expected_value: Value, label: measure} + - {column: L, row: 7205, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7206 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7206, expected_value: E12000007, label: geography} + - {column: D, row: 7206, expected_value: Males, label: sex} + - {column: E, row: 7206, expected_value: Total, label: employment type} + - {column: J, row: 7206, expected_value: Value, label: measure} + - {column: L, row: 7207, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7208 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7208, expected_value: E12000007, label: geography} + - {column: D, row: 7208, expected_value: Males, label: sex} + - {column: E, row: 7208, expected_value: Total, label: employment type} + - {column: J, row: 7208, expected_value: Value, label: measure} + - {column: L, row: 7209, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7210 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7210, expected_value: E12000007, label: geography} + - {column: D, row: 7210, expected_value: Males, label: sex} + - {column: E, row: 7210, expected_value: Total, label: employment type} + - {column: J, row: 7210, expected_value: Value, label: measure} + - {column: L, row: 7211, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7212 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7212, expected_value: E12000007, label: geography} + - {column: D, row: 7212, expected_value: Males, label: sex} + - {column: E, row: 7212, expected_value: Total, label: employment type} + - {column: J, row: 7212, expected_value: Value, label: measure} + - {column: L, row: 7213, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7214 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7214, expected_value: E12000007, label: geography} + - {column: D, row: 7214, expected_value: Males, label: sex} + - {column: E, row: 7214, expected_value: Total, label: employment type} + - {column: J, row: 7214, expected_value: Value, label: measure} + - {column: L, row: 7215, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7216 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7216, expected_value: E12000007, label: geography} + - {column: D, row: 7216, expected_value: Males, label: sex} + - {column: E, row: 7216, expected_value: Total, label: employment type} + - {column: J, row: 7216, expected_value: Value, label: measure} + - {column: L, row: 7217, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7218 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7218, expected_value: E12000007, label: geography} + - {column: D, row: 7218, expected_value: Males, label: sex} + - {column: E, row: 7218, expected_value: Total, label: employment type} + - {column: J, row: 7218, expected_value: Value, label: measure} + - {column: L, row: 7219, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7220 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7220, expected_value: E12000007, label: geography} + - {column: D, row: 7220, expected_value: Males, label: sex} + - {column: E, row: 7220, expected_value: Total, label: employment type} + - {column: J, row: 7220, expected_value: Value, label: measure} + - {column: L, row: 7221, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7222 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7222, expected_value: E12000007, label: geography} + - {column: D, row: 7222, expected_value: Males, label: sex} + - {column: E, row: 7222, expected_value: Total, label: employment type} + - {column: J, row: 7222, expected_value: Value, label: measure} + - {column: L, row: 7223, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7224 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7224, expected_value: E12000007, label: geography} + - {column: D, row: 7224, expected_value: Males, label: sex} + - {column: E, row: 7224, expected_value: Total, label: employment type} + - {column: J, row: 7224, expected_value: Value, label: measure} + - {column: L, row: 7225, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7226 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7226, expected_value: E12000007, label: geography} + - {column: D, row: 7226, expected_value: Males, label: sex} + - {column: E, row: 7226, expected_value: Total, label: employment type} + - {column: J, row: 7226, expected_value: Value, label: measure} + - {column: L, row: 7227, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7228 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7228, expected_value: E12000007, label: geography} + - {column: D, row: 7228, expected_value: Males, label: sex} + - {column: E, row: 7228, expected_value: Total, label: employment type} + - {column: J, row: 7228, expected_value: Value, label: measure} + - {column: L, row: 7229, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7230 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7230, expected_value: E12000007, label: geography} + - {column: D, row: 7230, expected_value: Males, label: sex} + - {column: E, row: 7230, expected_value: Total, label: employment type} + - {column: J, row: 7230, expected_value: Value, label: measure} + - {column: L, row: 7231, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7232 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7232, expected_value: E12000007, label: geography} + - {column: D, row: 7232, expected_value: Males, label: sex} + - {column: E, row: 7232, expected_value: Total, label: employment type} + - {column: J, row: 7232, expected_value: Value, label: measure} + - {column: L, row: 7233, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7234 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7234, expected_value: E12000007, label: geography} + - {column: D, row: 7234, expected_value: Males, label: sex} + - {column: E, row: 7234, expected_value: Total, label: employment type} + - {column: J, row: 7234, expected_value: Value, label: measure} + - {column: L, row: 7235, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7236 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7236, expected_value: E12000007, label: geography} + - {column: D, row: 7236, expected_value: Males, label: sex} + - {column: E, row: 7236, expected_value: Total, label: employment type} + - {column: J, row: 7236, expected_value: Value, label: measure} + - {column: L, row: 7237, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7238 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7238, expected_value: E12000007, label: geography} + - {column: D, row: 7238, expected_value: Males, label: sex} + - {column: E, row: 7238, expected_value: Total, label: employment type} + - {column: J, row: 7238, expected_value: Value, label: measure} + - {column: L, row: 7239, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7240 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7240, expected_value: E12000007, label: geography} + - {column: D, row: 7240, expected_value: Males, label: sex} + - {column: E, row: 7240, expected_value: Total, label: employment type} + - {column: J, row: 7240, expected_value: Value, label: measure} + - {column: L, row: 7241, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7242 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7242, expected_value: E12000007, label: geography} + - {column: D, row: 7242, expected_value: Males, label: sex} + - {column: E, row: 7242, expected_value: Total, label: employment type} + - {column: J, row: 7242, expected_value: Value, label: measure} + - {column: L, row: 7243, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7244 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7244, expected_value: E12000007, label: geography} + - {column: D, row: 7244, expected_value: Males, label: sex} + - {column: E, row: 7244, expected_value: Total, label: employment type} + - {column: J, row: 7244, expected_value: Value, label: measure} + - {column: L, row: 7245, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7246 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7246, expected_value: E12000007, label: geography} + - {column: D, row: 7246, expected_value: Males, label: sex} + - {column: E, row: 7246, expected_value: Total, label: employment type} + - {column: J, row: 7246, expected_value: Value, label: measure} + - {column: L, row: 7247, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7248 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7248, expected_value: E12000007, label: geography} + - {column: D, row: 7248, expected_value: Males, label: sex} + - {column: E, row: 7248, expected_value: Total, label: employment type} + - {column: J, row: 7248, expected_value: Value, label: measure} + - {column: L, row: 7249, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7250 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7250, expected_value: E12000007, label: geography} + - {column: D, row: 7250, expected_value: Males, label: sex} + - {column: E, row: 7250, expected_value: Total, label: employment type} + - {column: J, row: 7250, expected_value: Value, label: measure} + - {column: L, row: 7251, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7252 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7252, expected_value: E12000007, label: geography} + - {column: D, row: 7252, expected_value: Males, label: sex} + - {column: E, row: 7252, expected_value: Total, label: employment type} + - {column: J, row: 7252, expected_value: Value, label: measure} + - {column: L, row: 7253, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7254 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7254, expected_value: E12000007, label: geography} + - {column: D, row: 7254, expected_value: Males, label: sex} + - {column: E, row: 7254, expected_value: Total, label: employment type} + - {column: J, row: 7254, expected_value: Value, label: measure} + - {column: L, row: 7255, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7256 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7256, expected_value: E12000007, label: geography} + - {column: D, row: 7256, expected_value: Males, label: sex} + - {column: E, row: 7256, expected_value: Total, label: employment type} + - {column: J, row: 7256, expected_value: Value, label: measure} + - {column: L, row: 7257, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7258 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7258, expected_value: E12000007, label: geography} + - {column: D, row: 7258, expected_value: Males, label: sex} + - {column: E, row: 7258, expected_value: Total, label: employment type} + - {column: J, row: 7258, expected_value: Value, label: measure} + - {column: L, row: 7259, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7260 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7260, expected_value: E12000007, label: geography} + - {column: D, row: 7260, expected_value: Males, label: sex} + - {column: E, row: 7260, expected_value: Total, label: employment type} + - {column: J, row: 7260, expected_value: Value, label: measure} + - {column: L, row: 7261, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7262 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7262, expected_value: E12000007, label: geography} + - {column: D, row: 7262, expected_value: Males, label: sex} + - {column: E, row: 7262, expected_value: Total, label: employment type} + - {column: J, row: 7262, expected_value: Value, label: measure} + - {column: L, row: 7263, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7264 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7264, expected_value: E12000007, label: geography} + - {column: D, row: 7264, expected_value: Males, label: sex} + - {column: E, row: 7264, expected_value: Total, label: employment type} + - {column: J, row: 7264, expected_value: Value, label: measure} + - {column: L, row: 7265, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7266 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7266, expected_value: E12000007, label: geography} + - {column: D, row: 7266, expected_value: Males, label: sex} + - {column: E, row: 7266, expected_value: Total, label: employment type} + - {column: J, row: 7266, expected_value: Value, label: measure} + - {column: L, row: 7267, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7268 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7268, expected_value: E12000007, label: geography} + - {column: D, row: 7268, expected_value: Males, label: sex} + - {column: E, row: 7268, expected_value: Total, label: employment type} + - {column: J, row: 7268, expected_value: Value, label: measure} + - {column: L, row: 7269, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7270 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7270, expected_value: E12000007, label: geography} + - {column: D, row: 7270, expected_value: Males, label: sex} + - {column: E, row: 7270, expected_value: Total, label: employment type} + - {column: J, row: 7270, expected_value: Value, label: measure} + - {column: L, row: 7271, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7272 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7272, expected_value: E12000007, label: geography} + - {column: D, row: 7272, expected_value: Males, label: sex} + - {column: E, row: 7272, expected_value: Total, label: employment type} + - {column: J, row: 7272, expected_value: Value, label: measure} + - {column: L, row: 7273, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7203 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7203, expected_value: E12000007, label: geography} + - {column: D, row: 7203, expected_value: Males, label: sex} + - {column: E, row: 7203, expected_value: Total, label: employment type} + - {column: J, row: 7203, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7205 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7205, expected_value: E12000007, label: geography} + - {column: D, row: 7205, expected_value: Males, label: sex} + - {column: E, row: 7205, expected_value: Total, label: employment type} + - {column: J, row: 7205, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7207 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7207, expected_value: E12000007, label: geography} + - {column: D, row: 7207, expected_value: Males, label: sex} + - {column: E, row: 7207, expected_value: Total, label: employment type} + - {column: J, row: 7207, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7209 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7209, expected_value: E12000007, label: geography} + - {column: D, row: 7209, expected_value: Males, label: sex} + - {column: E, row: 7209, expected_value: Total, label: employment type} + - {column: J, row: 7209, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7211 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7211, expected_value: E12000007, label: geography} + - {column: D, row: 7211, expected_value: Males, label: sex} + - {column: E, row: 7211, expected_value: Total, label: employment type} + - {column: J, row: 7211, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7213 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7213, expected_value: E12000007, label: geography} + - {column: D, row: 7213, expected_value: Males, label: sex} + - {column: E, row: 7213, expected_value: Total, label: employment type} + - {column: J, row: 7213, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7215 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7215, expected_value: E12000007, label: geography} + - {column: D, row: 7215, expected_value: Males, label: sex} + - {column: E, row: 7215, expected_value: Total, label: employment type} + - {column: J, row: 7215, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7217 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7217, expected_value: E12000007, label: geography} + - {column: D, row: 7217, expected_value: Males, label: sex} + - {column: E, row: 7217, expected_value: Total, label: employment type} + - {column: J, row: 7217, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7219 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7219, expected_value: E12000007, label: geography} + - {column: D, row: 7219, expected_value: Males, label: sex} + - {column: E, row: 7219, expected_value: Total, label: employment type} + - {column: J, row: 7219, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7221 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7221, expected_value: E12000007, label: geography} + - {column: D, row: 7221, expected_value: Males, label: sex} + - {column: E, row: 7221, expected_value: Total, label: employment type} + - {column: J, row: 7221, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7223 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7223, expected_value: E12000007, label: geography} + - {column: D, row: 7223, expected_value: Males, label: sex} + - {column: E, row: 7223, expected_value: Total, label: employment type} + - {column: J, row: 7223, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7225 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7225, expected_value: E12000007, label: geography} + - {column: D, row: 7225, expected_value: Males, label: sex} + - {column: E, row: 7225, expected_value: Total, label: employment type} + - {column: J, row: 7225, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7227 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7227, expected_value: E12000007, label: geography} + - {column: D, row: 7227, expected_value: Males, label: sex} + - {column: E, row: 7227, expected_value: Total, label: employment type} + - {column: J, row: 7227, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7229 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7229, expected_value: E12000007, label: geography} + - {column: D, row: 7229, expected_value: Males, label: sex} + - {column: E, row: 7229, expected_value: Total, label: employment type} + - {column: J, row: 7229, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7231 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7231, expected_value: E12000007, label: geography} + - {column: D, row: 7231, expected_value: Males, label: sex} + - {column: E, row: 7231, expected_value: Total, label: employment type} + - {column: J, row: 7231, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7233 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7233, expected_value: E12000007, label: geography} + - {column: D, row: 7233, expected_value: Males, label: sex} + - {column: E, row: 7233, expected_value: Total, label: employment type} + - {column: J, row: 7233, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7235 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7235, expected_value: E12000007, label: geography} + - {column: D, row: 7235, expected_value: Males, label: sex} + - {column: E, row: 7235, expected_value: Total, label: employment type} + - {column: J, row: 7235, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7237 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7237, expected_value: E12000007, label: geography} + - {column: D, row: 7237, expected_value: Males, label: sex} + - {column: E, row: 7237, expected_value: Total, label: employment type} + - {column: J, row: 7237, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7239 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7239, expected_value: E12000007, label: geography} + - {column: D, row: 7239, expected_value: Males, label: sex} + - {column: E, row: 7239, expected_value: Total, label: employment type} + - {column: J, row: 7239, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7241 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7241, expected_value: E12000007, label: geography} + - {column: D, row: 7241, expected_value: Males, label: sex} + - {column: E, row: 7241, expected_value: Total, label: employment type} + - {column: J, row: 7241, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7243 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7243, expected_value: E12000007, label: geography} + - {column: D, row: 7243, expected_value: Males, label: sex} + - {column: E, row: 7243, expected_value: Total, label: employment type} + - {column: J, row: 7243, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7245 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7245, expected_value: E12000007, label: geography} + - {column: D, row: 7245, expected_value: Males, label: sex} + - {column: E, row: 7245, expected_value: Total, label: employment type} + - {column: J, row: 7245, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7247 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7247, expected_value: E12000007, label: geography} + - {column: D, row: 7247, expected_value: Males, label: sex} + - {column: E, row: 7247, expected_value: Total, label: employment type} + - {column: J, row: 7247, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7249 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7249, expected_value: E12000007, label: geography} + - {column: D, row: 7249, expected_value: Males, label: sex} + - {column: E, row: 7249, expected_value: Total, label: employment type} + - {column: J, row: 7249, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7251 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7251, expected_value: E12000007, label: geography} + - {column: D, row: 7251, expected_value: Males, label: sex} + - {column: E, row: 7251, expected_value: Total, label: employment type} + - {column: J, row: 7251, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7253 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7253, expected_value: E12000007, label: geography} + - {column: D, row: 7253, expected_value: Males, label: sex} + - {column: E, row: 7253, expected_value: Total, label: employment type} + - {column: J, row: 7253, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7257 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7257, expected_value: E12000007, label: geography} + - {column: D, row: 7257, expected_value: Males, label: sex} + - {column: E, row: 7257, expected_value: Total, label: employment type} + - {column: J, row: 7257, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7259 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7259, expected_value: E12000007, label: geography} + - {column: D, row: 7259, expected_value: Males, label: sex} + - {column: E, row: 7259, expected_value: Total, label: employment type} + - {column: J, row: 7259, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7261 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7261, expected_value: E12000007, label: geography} + - {column: D, row: 7261, expected_value: Males, label: sex} + - {column: E, row: 7261, expected_value: Total, label: employment type} + - {column: J, row: 7261, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7263 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7263, expected_value: E12000007, label: geography} + - {column: D, row: 7263, expected_value: Males, label: sex} + - {column: E, row: 7263, expected_value: Total, label: employment type} + - {column: J, row: 7263, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7265 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7265, expected_value: E12000007, label: geography} + - {column: D, row: 7265, expected_value: Males, label: sex} + - {column: E, row: 7265, expected_value: Total, label: employment type} + - {column: J, row: 7265, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7267 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7267, expected_value: E12000007, label: geography} + - {column: D, row: 7267, expected_value: Males, label: sex} + - {column: E, row: 7267, expected_value: Total, label: employment type} + - {column: J, row: 7267, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7269 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7269, expected_value: E12000007, label: geography} + - {column: D, row: 7269, expected_value: Males, label: sex} + - {column: E, row: 7269, expected_value: Total, label: employment type} + - {column: J, row: 7269, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7271 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7271, expected_value: E12000007, label: geography} + - {column: D, row: 7271, expected_value: Males, label: sex} + - {column: E, row: 7271, expected_value: Total, label: employment type} + - {column: J, row: 7271, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7273 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7273, expected_value: E12000007, label: geography} + - {column: D, row: 7273, expected_value: Males, label: sex} + - {column: E, row: 7273, expected_value: Total, label: employment type} + - {column: J, row: 7273, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7418 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7418, expected_value: E12000007, label: geography} + - {column: D, row: 7418, expected_value: Males, label: sex} + - {column: E, row: 7418, expected_value: Employee, label: employment type} + - {column: J, row: 7418, expected_value: Value, label: measure} + - {column: L, row: 7419, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7420 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7420, expected_value: E12000007, label: geography} + - {column: D, row: 7420, expected_value: Males, label: sex} + - {column: E, row: 7420, expected_value: Employee, label: employment type} + - {column: J, row: 7420, expected_value: Value, label: measure} + - {column: L, row: 7421, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7422 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7422, expected_value: E12000007, label: geography} + - {column: D, row: 7422, expected_value: Males, label: sex} + - {column: E, row: 7422, expected_value: Employee, label: employment type} + - {column: J, row: 7422, expected_value: Value, label: measure} + - {column: L, row: 7423, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7424 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7424, expected_value: E12000007, label: geography} + - {column: D, row: 7424, expected_value: Males, label: sex} + - {column: E, row: 7424, expected_value: Employee, label: employment type} + - {column: J, row: 7424, expected_value: Value, label: measure} + - {column: L, row: 7425, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7426 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7426, expected_value: E12000007, label: geography} + - {column: D, row: 7426, expected_value: Males, label: sex} + - {column: E, row: 7426, expected_value: Employee, label: employment type} + - {column: J, row: 7426, expected_value: Value, label: measure} + - {column: L, row: 7427, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7428 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7428, expected_value: E12000007, label: geography} + - {column: D, row: 7428, expected_value: Males, label: sex} + - {column: E, row: 7428, expected_value: Employee, label: employment type} + - {column: J, row: 7428, expected_value: Value, label: measure} + - {column: L, row: 7429, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7430 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7430, expected_value: E12000007, label: geography} + - {column: D, row: 7430, expected_value: Males, label: sex} + - {column: E, row: 7430, expected_value: Employee, label: employment type} + - {column: J, row: 7430, expected_value: Value, label: measure} + - {column: L, row: 7431, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7432 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7432, expected_value: E12000007, label: geography} + - {column: D, row: 7432, expected_value: Males, label: sex} + - {column: E, row: 7432, expected_value: Employee, label: employment type} + - {column: J, row: 7432, expected_value: Value, label: measure} + - {column: L, row: 7433, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7434 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7434, expected_value: E12000007, label: geography} + - {column: D, row: 7434, expected_value: Males, label: sex} + - {column: E, row: 7434, expected_value: Employee, label: employment type} + - {column: J, row: 7434, expected_value: Value, label: measure} + - {column: L, row: 7435, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7436 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7436, expected_value: E12000007, label: geography} + - {column: D, row: 7436, expected_value: Males, label: sex} + - {column: E, row: 7436, expected_value: Employee, label: employment type} + - {column: J, row: 7436, expected_value: Value, label: measure} + - {column: L, row: 7437, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7438 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7438, expected_value: E12000007, label: geography} + - {column: D, row: 7438, expected_value: Males, label: sex} + - {column: E, row: 7438, expected_value: Employee, label: employment type} + - {column: J, row: 7438, expected_value: Value, label: measure} + - {column: L, row: 7439, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7440 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7440, expected_value: E12000007, label: geography} + - {column: D, row: 7440, expected_value: Males, label: sex} + - {column: E, row: 7440, expected_value: Employee, label: employment type} + - {column: J, row: 7440, expected_value: Value, label: measure} + - {column: L, row: 7441, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7442 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7442, expected_value: E12000007, label: geography} + - {column: D, row: 7442, expected_value: Males, label: sex} + - {column: E, row: 7442, expected_value: Employee, label: employment type} + - {column: J, row: 7442, expected_value: Value, label: measure} + - {column: L, row: 7443, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7444 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7444, expected_value: E12000007, label: geography} + - {column: D, row: 7444, expected_value: Males, label: sex} + - {column: E, row: 7444, expected_value: Employee, label: employment type} + - {column: J, row: 7444, expected_value: Value, label: measure} + - {column: L, row: 7445, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7446 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7446, expected_value: E12000007, label: geography} + - {column: D, row: 7446, expected_value: Males, label: sex} + - {column: E, row: 7446, expected_value: Employee, label: employment type} + - {column: J, row: 7446, expected_value: Value, label: measure} + - {column: L, row: 7447, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7448 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7448, expected_value: E12000007, label: geography} + - {column: D, row: 7448, expected_value: Males, label: sex} + - {column: E, row: 7448, expected_value: Employee, label: employment type} + - {column: J, row: 7448, expected_value: Value, label: measure} + - {column: L, row: 7449, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7450 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7450, expected_value: E12000007, label: geography} + - {column: D, row: 7450, expected_value: Males, label: sex} + - {column: E, row: 7450, expected_value: Employee, label: employment type} + - {column: J, row: 7450, expected_value: Value, label: measure} + - {column: L, row: 7451, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7452 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7452, expected_value: E12000007, label: geography} + - {column: D, row: 7452, expected_value: Males, label: sex} + - {column: E, row: 7452, expected_value: Employee, label: employment type} + - {column: J, row: 7452, expected_value: Value, label: measure} + - {column: L, row: 7453, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7454 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7454, expected_value: E12000007, label: geography} + - {column: D, row: 7454, expected_value: Males, label: sex} + - {column: E, row: 7454, expected_value: Employee, label: employment type} + - {column: J, row: 7454, expected_value: Value, label: measure} + - {column: L, row: 7455, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7456 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7456, expected_value: E12000007, label: geography} + - {column: D, row: 7456, expected_value: Males, label: sex} + - {column: E, row: 7456, expected_value: Employee, label: employment type} + - {column: J, row: 7456, expected_value: Value, label: measure} + - {column: L, row: 7457, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7458 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7458, expected_value: E12000007, label: geography} + - {column: D, row: 7458, expected_value: Males, label: sex} + - {column: E, row: 7458, expected_value: Employee, label: employment type} + - {column: J, row: 7458, expected_value: Value, label: measure} + - {column: L, row: 7459, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7460 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7460, expected_value: E12000007, label: geography} + - {column: D, row: 7460, expected_value: Males, label: sex} + - {column: E, row: 7460, expected_value: Employee, label: employment type} + - {column: J, row: 7460, expected_value: Value, label: measure} + - {column: L, row: 7461, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7462 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7462, expected_value: E12000007, label: geography} + - {column: D, row: 7462, expected_value: Males, label: sex} + - {column: E, row: 7462, expected_value: Employee, label: employment type} + - {column: J, row: 7462, expected_value: Value, label: measure} + - {column: L, row: 7463, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7464 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7464, expected_value: E12000007, label: geography} + - {column: D, row: 7464, expected_value: Males, label: sex} + - {column: E, row: 7464, expected_value: Employee, label: employment type} + - {column: J, row: 7464, expected_value: Value, label: measure} + - {column: L, row: 7465, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7466 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7466, expected_value: E12000007, label: geography} + - {column: D, row: 7466, expected_value: Males, label: sex} + - {column: E, row: 7466, expected_value: Employee, label: employment type} + - {column: J, row: 7466, expected_value: Value, label: measure} + - {column: L, row: 7467, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7468 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7468, expected_value: E12000007, label: geography} + - {column: D, row: 7468, expected_value: Males, label: sex} + - {column: E, row: 7468, expected_value: Employee, label: employment type} + - {column: J, row: 7468, expected_value: Value, label: measure} + - {column: L, row: 7469, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7470 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7470, expected_value: E12000007, label: geography} + - {column: D, row: 7470, expected_value: Males, label: sex} + - {column: E, row: 7470, expected_value: Employee, label: employment type} + - {column: J, row: 7470, expected_value: Value, label: measure} + - {column: L, row: 7471, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7472 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7472, expected_value: E12000007, label: geography} + - {column: D, row: 7472, expected_value: Males, label: sex} + - {column: E, row: 7472, expected_value: Employee, label: employment type} + - {column: J, row: 7472, expected_value: Value, label: measure} + - {column: L, row: 7473, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7474 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7474, expected_value: E12000007, label: geography} + - {column: D, row: 7474, expected_value: Males, label: sex} + - {column: E, row: 7474, expected_value: Employee, label: employment type} + - {column: J, row: 7474, expected_value: Value, label: measure} + - {column: L, row: 7475, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7476 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7476, expected_value: E12000007, label: geography} + - {column: D, row: 7476, expected_value: Males, label: sex} + - {column: E, row: 7476, expected_value: Employee, label: employment type} + - {column: J, row: 7476, expected_value: Value, label: measure} + - {column: L, row: 7477, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7478 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7478, expected_value: E12000007, label: geography} + - {column: D, row: 7478, expected_value: Males, label: sex} + - {column: E, row: 7478, expected_value: Employee, label: employment type} + - {column: J, row: 7478, expected_value: Value, label: measure} + - {column: L, row: 7479, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7480 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7480, expected_value: E12000007, label: geography} + - {column: D, row: 7480, expected_value: Males, label: sex} + - {column: E, row: 7480, expected_value: Employee, label: employment type} + - {column: J, row: 7480, expected_value: Value, label: measure} + - {column: L, row: 7481, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7482 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7482, expected_value: E12000007, label: geography} + - {column: D, row: 7482, expected_value: Males, label: sex} + - {column: E, row: 7482, expected_value: Employee, label: employment type} + - {column: J, row: 7482, expected_value: Value, label: measure} + - {column: L, row: 7483, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7484 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7484, expected_value: E12000007, label: geography} + - {column: D, row: 7484, expected_value: Males, label: sex} + - {column: E, row: 7484, expected_value: Employee, label: employment type} + - {column: J, row: 7484, expected_value: Value, label: measure} + - {column: L, row: 7485, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7486 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7486, expected_value: E12000007, label: geography} + - {column: D, row: 7486, expected_value: Males, label: sex} + - {column: E, row: 7486, expected_value: Employee, label: employment type} + - {column: J, row: 7486, expected_value: Value, label: measure} + - {column: L, row: 7487, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7488 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7488, expected_value: E12000007, label: geography} + - {column: D, row: 7488, expected_value: Males, label: sex} + - {column: E, row: 7488, expected_value: Employee, label: employment type} + - {column: J, row: 7488, expected_value: Value, label: measure} + - {column: L, row: 7489, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7419 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7419, expected_value: E12000007, label: geography} + - {column: D, row: 7419, expected_value: Males, label: sex} + - {column: E, row: 7419, expected_value: Employee, label: employment type} + - {column: J, row: 7419, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7421 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7421, expected_value: E12000007, label: geography} + - {column: D, row: 7421, expected_value: Males, label: sex} + - {column: E, row: 7421, expected_value: Employee, label: employment type} + - {column: J, row: 7421, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7423 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7423, expected_value: E12000007, label: geography} + - {column: D, row: 7423, expected_value: Males, label: sex} + - {column: E, row: 7423, expected_value: Employee, label: employment type} + - {column: J, row: 7423, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7425 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7425, expected_value: E12000007, label: geography} + - {column: D, row: 7425, expected_value: Males, label: sex} + - {column: E, row: 7425, expected_value: Employee, label: employment type} + - {column: J, row: 7425, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7427 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7427, expected_value: E12000007, label: geography} + - {column: D, row: 7427, expected_value: Males, label: sex} + - {column: E, row: 7427, expected_value: Employee, label: employment type} + - {column: J, row: 7427, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7429 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7429, expected_value: E12000007, label: geography} + - {column: D, row: 7429, expected_value: Males, label: sex} + - {column: E, row: 7429, expected_value: Employee, label: employment type} + - {column: J, row: 7429, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7431 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7431, expected_value: E12000007, label: geography} + - {column: D, row: 7431, expected_value: Males, label: sex} + - {column: E, row: 7431, expected_value: Employee, label: employment type} + - {column: J, row: 7431, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7433 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7433, expected_value: E12000007, label: geography} + - {column: D, row: 7433, expected_value: Males, label: sex} + - {column: E, row: 7433, expected_value: Employee, label: employment type} + - {column: J, row: 7433, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7435 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7435, expected_value: E12000007, label: geography} + - {column: D, row: 7435, expected_value: Males, label: sex} + - {column: E, row: 7435, expected_value: Employee, label: employment type} + - {column: J, row: 7435, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7437 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7437, expected_value: E12000007, label: geography} + - {column: D, row: 7437, expected_value: Males, label: sex} + - {column: E, row: 7437, expected_value: Employee, label: employment type} + - {column: J, row: 7437, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7439 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7439, expected_value: E12000007, label: geography} + - {column: D, row: 7439, expected_value: Males, label: sex} + - {column: E, row: 7439, expected_value: Employee, label: employment type} + - {column: J, row: 7439, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7441 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7441, expected_value: E12000007, label: geography} + - {column: D, row: 7441, expected_value: Males, label: sex} + - {column: E, row: 7441, expected_value: Employee, label: employment type} + - {column: J, row: 7441, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7443 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7443, expected_value: E12000007, label: geography} + - {column: D, row: 7443, expected_value: Males, label: sex} + - {column: E, row: 7443, expected_value: Employee, label: employment type} + - {column: J, row: 7443, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7445 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7445, expected_value: E12000007, label: geography} + - {column: D, row: 7445, expected_value: Males, label: sex} + - {column: E, row: 7445, expected_value: Employee, label: employment type} + - {column: J, row: 7445, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7447 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7447, expected_value: E12000007, label: geography} + - {column: D, row: 7447, expected_value: Males, label: sex} + - {column: E, row: 7447, expected_value: Employee, label: employment type} + - {column: J, row: 7447, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7449 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7449, expected_value: E12000007, label: geography} + - {column: D, row: 7449, expected_value: Males, label: sex} + - {column: E, row: 7449, expected_value: Employee, label: employment type} + - {column: J, row: 7449, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7451 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7451, expected_value: E12000007, label: geography} + - {column: D, row: 7451, expected_value: Males, label: sex} + - {column: E, row: 7451, expected_value: Employee, label: employment type} + - {column: J, row: 7451, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7453 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7453, expected_value: E12000007, label: geography} + - {column: D, row: 7453, expected_value: Males, label: sex} + - {column: E, row: 7453, expected_value: Employee, label: employment type} + - {column: J, row: 7453, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7455 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7455, expected_value: E12000007, label: geography} + - {column: D, row: 7455, expected_value: Males, label: sex} + - {column: E, row: 7455, expected_value: Employee, label: employment type} + - {column: J, row: 7455, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7459 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7459, expected_value: E12000007, label: geography} + - {column: D, row: 7459, expected_value: Males, label: sex} + - {column: E, row: 7459, expected_value: Employee, label: employment type} + - {column: J, row: 7459, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7461 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7461, expected_value: E12000007, label: geography} + - {column: D, row: 7461, expected_value: Males, label: sex} + - {column: E, row: 7461, expected_value: Employee, label: employment type} + - {column: J, row: 7461, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7463 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7463, expected_value: E12000007, label: geography} + - {column: D, row: 7463, expected_value: Males, label: sex} + - {column: E, row: 7463, expected_value: Employee, label: employment type} + - {column: J, row: 7463, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7465 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7465, expected_value: E12000007, label: geography} + - {column: D, row: 7465, expected_value: Males, label: sex} + - {column: E, row: 7465, expected_value: Employee, label: employment type} + - {column: J, row: 7465, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7467 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7467, expected_value: E12000007, label: geography} + - {column: D, row: 7467, expected_value: Males, label: sex} + - {column: E, row: 7467, expected_value: Employee, label: employment type} + - {column: J, row: 7467, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7469 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7469, expected_value: E12000007, label: geography} + - {column: D, row: 7469, expected_value: Males, label: sex} + - {column: E, row: 7469, expected_value: Employee, label: employment type} + - {column: J, row: 7469, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7473 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7473, expected_value: E12000007, label: geography} + - {column: D, row: 7473, expected_value: Males, label: sex} + - {column: E, row: 7473, expected_value: Employee, label: employment type} + - {column: J, row: 7473, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7475 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7475, expected_value: E12000007, label: geography} + - {column: D, row: 7475, expected_value: Males, label: sex} + - {column: E, row: 7475, expected_value: Employee, label: employment type} + - {column: J, row: 7475, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7477 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7477, expected_value: E12000007, label: geography} + - {column: D, row: 7477, expected_value: Males, label: sex} + - {column: E, row: 7477, expected_value: Employee, label: employment type} + - {column: J, row: 7477, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7479 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7479, expected_value: E12000007, label: geography} + - {column: D, row: 7479, expected_value: Males, label: sex} + - {column: E, row: 7479, expected_value: Employee, label: employment type} + - {column: J, row: 7479, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7481 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7481, expected_value: E12000007, label: geography} + - {column: D, row: 7481, expected_value: Males, label: sex} + - {column: E, row: 7481, expected_value: Employee, label: employment type} + - {column: J, row: 7481, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7483 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7483, expected_value: E12000007, label: geography} + - {column: D, row: 7483, expected_value: Males, label: sex} + - {column: E, row: 7483, expected_value: Employee, label: employment type} + - {column: J, row: 7483, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7485 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7485, expected_value: E12000007, label: geography} + - {column: D, row: 7485, expected_value: Males, label: sex} + - {column: E, row: 7485, expected_value: Employee, label: employment type} + - {column: J, row: 7485, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7487 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7487, expected_value: E12000007, label: geography} + - {column: D, row: 7487, expected_value: Males, label: sex} + - {column: E, row: 7487, expected_value: Employee, label: employment type} + - {column: J, row: 7487, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7489 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7489, expected_value: E12000007, label: geography} + - {column: D, row: 7489, expected_value: Males, label: sex} + - {column: E, row: 7489, expected_value: Employee, label: employment type} + - {column: J, row: 7489, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7634 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7634, expected_value: E12000007, label: geography} + - {column: D, row: 7634, expected_value: Males, label: sex} + - {column: E, row: 7634, expected_value: Self-employed, label: employment type} + - {column: J, row: 7634, expected_value: Value, label: measure} + - {column: L, row: 7635, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7636 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7636, expected_value: E12000007, label: geography} + - {column: D, row: 7636, expected_value: Males, label: sex} + - {column: E, row: 7636, expected_value: Self-employed, label: employment type} + - {column: J, row: 7636, expected_value: Value, label: measure} + - {column: L, row: 7637, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7638 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7638, expected_value: E12000007, label: geography} + - {column: D, row: 7638, expected_value: Males, label: sex} + - {column: E, row: 7638, expected_value: Self-employed, label: employment type} + - {column: J, row: 7638, expected_value: Value, label: measure} + - {column: L, row: 7639, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7640 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7640, expected_value: E12000007, label: geography} + - {column: D, row: 7640, expected_value: Males, label: sex} + - {column: E, row: 7640, expected_value: Self-employed, label: employment type} + - {column: J, row: 7640, expected_value: Value, label: measure} + - {column: L, row: 7641, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7642 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7642, expected_value: E12000007, label: geography} + - {column: D, row: 7642, expected_value: Males, label: sex} + - {column: E, row: 7642, expected_value: Self-employed, label: employment type} + - {column: J, row: 7642, expected_value: Value, label: measure} + - {column: L, row: 7643, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7644 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7644, expected_value: E12000007, label: geography} + - {column: D, row: 7644, expected_value: Males, label: sex} + - {column: E, row: 7644, expected_value: Self-employed, label: employment type} + - {column: J, row: 7644, expected_value: Value, label: measure} + - {column: L, row: 7645, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7646 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7646, expected_value: E12000007, label: geography} + - {column: D, row: 7646, expected_value: Males, label: sex} + - {column: E, row: 7646, expected_value: Self-employed, label: employment type} + - {column: J, row: 7646, expected_value: Value, label: measure} + - {column: L, row: 7647, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7648 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7648, expected_value: E12000007, label: geography} + - {column: D, row: 7648, expected_value: Males, label: sex} + - {column: E, row: 7648, expected_value: Self-employed, label: employment type} + - {column: J, row: 7648, expected_value: Value, label: measure} + - {column: L, row: 7649, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7650 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7650, expected_value: E12000007, label: geography} + - {column: D, row: 7650, expected_value: Males, label: sex} + - {column: E, row: 7650, expected_value: Self-employed, label: employment type} + - {column: J, row: 7650, expected_value: Value, label: measure} + - {column: L, row: 7651, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7652 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7652, expected_value: E12000007, label: geography} + - {column: D, row: 7652, expected_value: Males, label: sex} + - {column: E, row: 7652, expected_value: Self-employed, label: employment type} + - {column: J, row: 7652, expected_value: Value, label: measure} + - {column: L, row: 7653, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7654 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7654, expected_value: E12000007, label: geography} + - {column: D, row: 7654, expected_value: Males, label: sex} + - {column: E, row: 7654, expected_value: Self-employed, label: employment type} + - {column: J, row: 7654, expected_value: Value, label: measure} + - {column: L, row: 7655, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7656 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7656, expected_value: E12000007, label: geography} + - {column: D, row: 7656, expected_value: Males, label: sex} + - {column: E, row: 7656, expected_value: Self-employed, label: employment type} + - {column: J, row: 7656, expected_value: Value, label: measure} + - {column: L, row: 7657, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7660 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7660, expected_value: E12000007, label: geography} + - {column: D, row: 7660, expected_value: Males, label: sex} + - {column: E, row: 7660, expected_value: Self-employed, label: employment type} + - {column: J, row: 7660, expected_value: Value, label: measure} + - {column: L, row: 7661, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7662 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7662, expected_value: E12000007, label: geography} + - {column: D, row: 7662, expected_value: Males, label: sex} + - {column: E, row: 7662, expected_value: Self-employed, label: employment type} + - {column: J, row: 7662, expected_value: Value, label: measure} + - {column: L, row: 7663, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7664 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7664, expected_value: E12000007, label: geography} + - {column: D, row: 7664, expected_value: Males, label: sex} + - {column: E, row: 7664, expected_value: Self-employed, label: employment type} + - {column: J, row: 7664, expected_value: Value, label: measure} + - {column: L, row: 7665, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7666 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7666, expected_value: E12000007, label: geography} + - {column: D, row: 7666, expected_value: Males, label: sex} + - {column: E, row: 7666, expected_value: Self-employed, label: employment type} + - {column: J, row: 7666, expected_value: Value, label: measure} + - {column: L, row: 7667, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7670 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7670, expected_value: E12000007, label: geography} + - {column: D, row: 7670, expected_value: Males, label: sex} + - {column: E, row: 7670, expected_value: Self-employed, label: employment type} + - {column: J, row: 7670, expected_value: Value, label: measure} + - {column: L, row: 7671, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7672 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7672, expected_value: E12000007, label: geography} + - {column: D, row: 7672, expected_value: Males, label: sex} + - {column: E, row: 7672, expected_value: Self-employed, label: employment type} + - {column: J, row: 7672, expected_value: Value, label: measure} + - {column: L, row: 7673, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7674 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7674, expected_value: E12000007, label: geography} + - {column: D, row: 7674, expected_value: Males, label: sex} + - {column: E, row: 7674, expected_value: Self-employed, label: employment type} + - {column: J, row: 7674, expected_value: Value, label: measure} + - {column: L, row: 7675, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7676 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7676, expected_value: E12000007, label: geography} + - {column: D, row: 7676, expected_value: Males, label: sex} + - {column: E, row: 7676, expected_value: Self-employed, label: employment type} + - {column: J, row: 7676, expected_value: Value, label: measure} + - {column: L, row: 7677, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7678 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7678, expected_value: E12000007, label: geography} + - {column: D, row: 7678, expected_value: Males, label: sex} + - {column: E, row: 7678, expected_value: Self-employed, label: employment type} + - {column: J, row: 7678, expected_value: Value, label: measure} + - {column: L, row: 7679, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7680 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7680, expected_value: E12000007, label: geography} + - {column: D, row: 7680, expected_value: Males, label: sex} + - {column: E, row: 7680, expected_value: Self-employed, label: employment type} + - {column: J, row: 7680, expected_value: Value, label: measure} + - {column: L, row: 7681, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7682 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7682, expected_value: E12000007, label: geography} + - {column: D, row: 7682, expected_value: Males, label: sex} + - {column: E, row: 7682, expected_value: Self-employed, label: employment type} + - {column: J, row: 7682, expected_value: Value, label: measure} + - {column: L, row: 7683, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7684 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7684, expected_value: E12000007, label: geography} + - {column: D, row: 7684, expected_value: Males, label: sex} + - {column: E, row: 7684, expected_value: Self-employed, label: employment type} + - {column: J, row: 7684, expected_value: Value, label: measure} + - {column: L, row: 7685, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7688 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7688, expected_value: E12000007, label: geography} + - {column: D, row: 7688, expected_value: Males, label: sex} + - {column: E, row: 7688, expected_value: Self-employed, label: employment type} + - {column: J, row: 7688, expected_value: Value, label: measure} + - {column: L, row: 7689, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7690 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7690, expected_value: E12000007, label: geography} + - {column: D, row: 7690, expected_value: Males, label: sex} + - {column: E, row: 7690, expected_value: Self-employed, label: employment type} + - {column: J, row: 7690, expected_value: Value, label: measure} + - {column: L, row: 7691, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7692 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7692, expected_value: E12000007, label: geography} + - {column: D, row: 7692, expected_value: Males, label: sex} + - {column: E, row: 7692, expected_value: Self-employed, label: employment type} + - {column: J, row: 7692, expected_value: Value, label: measure} + - {column: L, row: 7693, expected_value: F, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7694 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7694, expected_value: E12000007, label: geography} + - {column: D, row: 7694, expected_value: Males, label: sex} + - {column: E, row: 7694, expected_value: Self-employed, label: employment type} + - {column: J, row: 7694, expected_value: Value, label: measure} + - {column: L, row: 7695, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7696 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7696, expected_value: E12000007, label: geography} + - {column: D, row: 7696, expected_value: Males, label: sex} + - {column: E, row: 7696, expected_value: Self-employed, label: employment type} + - {column: J, row: 7696, expected_value: Value, label: measure} + - {column: L, row: 7697, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7698 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7698, expected_value: E12000007, label: geography} + - {column: D, row: 7698, expected_value: Males, label: sex} + - {column: E, row: 7698, expected_value: Self-employed, label: employment type} + - {column: J, row: 7698, expected_value: Value, label: measure} + - {column: L, row: 7699, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7700 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7700, expected_value: E12000007, label: geography} + - {column: D, row: 7700, expected_value: Males, label: sex} + - {column: E, row: 7700, expected_value: Self-employed, label: employment type} + - {column: J, row: 7700, expected_value: Value, label: measure} + - {column: L, row: 7701, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7702 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7702, expected_value: E12000007, label: geography} + - {column: D, row: 7702, expected_value: Males, label: sex} + - {column: E, row: 7702, expected_value: Self-employed, label: employment type} + - {column: J, row: 7702, expected_value: Value, label: measure} + - {column: L, row: 7703, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7704 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7704, expected_value: E12000007, label: geography} + - {column: D, row: 7704, expected_value: Males, label: sex} + - {column: E, row: 7704, expected_value: Self-employed, label: employment type} + - {column: J, row: 7704, expected_value: Value, label: measure} + - {column: L, row: 7705, expected_value: G, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7635 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7635, expected_value: E12000007, label: geography} + - {column: D, row: 7635, expected_value: Males, label: sex} + - {column: E, row: 7635, expected_value: Self-employed, label: employment type} + - {column: J, row: 7635, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7637 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7637, expected_value: E12000007, label: geography} + - {column: D, row: 7637, expected_value: Males, label: sex} + - {column: E, row: 7637, expected_value: Self-employed, label: employment type} + - {column: J, row: 7637, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7639 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7639, expected_value: E12000007, label: geography} + - {column: D, row: 7639, expected_value: Males, label: sex} + - {column: E, row: 7639, expected_value: Self-employed, label: employment type} + - {column: J, row: 7639, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7641 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7641, expected_value: E12000007, label: geography} + - {column: D, row: 7641, expected_value: Males, label: sex} + - {column: E, row: 7641, expected_value: Self-employed, label: employment type} + - {column: J, row: 7641, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7643 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7643, expected_value: E12000007, label: geography} + - {column: D, row: 7643, expected_value: Males, label: sex} + - {column: E, row: 7643, expected_value: Self-employed, label: employment type} + - {column: J, row: 7643, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7645 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7645, expected_value: E12000007, label: geography} + - {column: D, row: 7645, expected_value: Males, label: sex} + - {column: E, row: 7645, expected_value: Self-employed, label: employment type} + - {column: J, row: 7645, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7647 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7647, expected_value: E12000007, label: geography} + - {column: D, row: 7647, expected_value: Males, label: sex} + - {column: E, row: 7647, expected_value: Self-employed, label: employment type} + - {column: J, row: 7647, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7649 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7649, expected_value: E12000007, label: geography} + - {column: D, row: 7649, expected_value: Males, label: sex} + - {column: E, row: 7649, expected_value: Self-employed, label: employment type} + - {column: J, row: 7649, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7651 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7651, expected_value: E12000007, label: geography} + - {column: D, row: 7651, expected_value: Males, label: sex} + - {column: E, row: 7651, expected_value: Self-employed, label: employment type} + - {column: J, row: 7651, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7653 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7653, expected_value: E12000007, label: geography} + - {column: D, row: 7653, expected_value: Males, label: sex} + - {column: E, row: 7653, expected_value: Self-employed, label: employment type} + - {column: J, row: 7653, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7661 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7661, expected_value: E12000007, label: geography} + - {column: D, row: 7661, expected_value: Males, label: sex} + - {column: E, row: 7661, expected_value: Self-employed, label: employment type} + - {column: J, row: 7661, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7663 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7663, expected_value: E12000007, label: geography} + - {column: D, row: 7663, expected_value: Males, label: sex} + - {column: E, row: 7663, expected_value: Self-employed, label: employment type} + - {column: J, row: 7663, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7665 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7665, expected_value: E12000007, label: geography} + - {column: D, row: 7665, expected_value: Males, label: sex} + - {column: E, row: 7665, expected_value: Self-employed, label: employment type} + - {column: J, row: 7665, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7667 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7667, expected_value: E12000007, label: geography} + - {column: D, row: 7667, expected_value: Males, label: sex} + - {column: E, row: 7667, expected_value: Self-employed, label: employment type} + - {column: J, row: 7667, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7671 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7671, expected_value: E12000007, label: geography} + - {column: D, row: 7671, expected_value: Males, label: sex} + - {column: E, row: 7671, expected_value: Self-employed, label: employment type} + - {column: J, row: 7671, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7675 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7675, expected_value: E12000007, label: geography} + - {column: D, row: 7675, expected_value: Males, label: sex} + - {column: E, row: 7675, expected_value: Self-employed, label: employment type} + - {column: J, row: 7675, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7677 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7677, expected_value: E12000007, label: geography} + - {column: D, row: 7677, expected_value: Males, label: sex} + - {column: E, row: 7677, expected_value: Self-employed, label: employment type} + - {column: J, row: 7677, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7679 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7679, expected_value: E12000007, label: geography} + - {column: D, row: 7679, expected_value: Males, label: sex} + - {column: E, row: 7679, expected_value: Self-employed, label: employment type} + - {column: J, row: 7679, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7681 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7681, expected_value: E12000007, label: geography} + - {column: D, row: 7681, expected_value: Males, label: sex} + - {column: E, row: 7681, expected_value: Self-employed, label: employment type} + - {column: J, row: 7681, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7689 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7689, expected_value: E12000007, label: geography} + - {column: D, row: 7689, expected_value: Males, label: sex} + - {column: E, row: 7689, expected_value: Self-employed, label: employment type} + - {column: J, row: 7689, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7691 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7691, expected_value: E12000007, label: geography} + - {column: D, row: 7691, expected_value: Males, label: sex} + - {column: E, row: 7691, expected_value: Self-employed, label: employment type} + - {column: J, row: 7691, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7695 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7695, expected_value: E12000007, label: geography} + - {column: D, row: 7695, expected_value: Males, label: sex} + - {column: E, row: 7695, expected_value: Self-employed, label: employment type} + - {column: J, row: 7695, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7697 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7697, expected_value: E12000007, label: geography} + - {column: D, row: 7697, expected_value: Males, label: sex} + - {column: E, row: 7697, expected_value: Self-employed, label: employment type} + - {column: J, row: 7697, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7699 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7699, expected_value: E12000007, label: geography} + - {column: D, row: 7699, expected_value: Males, label: sex} + - {column: E, row: 7699, expected_value: Self-employed, label: employment type} + - {column: J, row: 7699, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7701 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7701, expected_value: E12000007, label: geography} + - {column: D, row: 7701, expected_value: Males, label: sex} + - {column: E, row: 7701, expected_value: Self-employed, label: employment type} + - {column: J, row: 7701, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7274 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7274, expected_value: E12000007, label: geography} + - {column: D, row: 7274, expected_value: Females, label: sex} + - {column: E, row: 7274, expected_value: Total, label: employment type} + - {column: J, row: 7274, expected_value: Value, label: measure} + - {column: L, row: 7275, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7276 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7276, expected_value: E12000007, label: geography} + - {column: D, row: 7276, expected_value: Females, label: sex} + - {column: E, row: 7276, expected_value: Total, label: employment type} + - {column: J, row: 7276, expected_value: Value, label: measure} + - {column: L, row: 7277, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7278 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7278, expected_value: E12000007, label: geography} + - {column: D, row: 7278, expected_value: Females, label: sex} + - {column: E, row: 7278, expected_value: Total, label: employment type} + - {column: J, row: 7278, expected_value: Value, label: measure} + - {column: L, row: 7279, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7280 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7280, expected_value: E12000007, label: geography} + - {column: D, row: 7280, expected_value: Females, label: sex} + - {column: E, row: 7280, expected_value: Total, label: employment type} + - {column: J, row: 7280, expected_value: Value, label: measure} + - {column: L, row: 7281, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7282 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7282, expected_value: E12000007, label: geography} + - {column: D, row: 7282, expected_value: Females, label: sex} + - {column: E, row: 7282, expected_value: Total, label: employment type} + - {column: J, row: 7282, expected_value: Value, label: measure} + - {column: L, row: 7283, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7284 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7284, expected_value: E12000007, label: geography} + - {column: D, row: 7284, expected_value: Females, label: sex} + - {column: E, row: 7284, expected_value: Total, label: employment type} + - {column: J, row: 7284, expected_value: Value, label: measure} + - {column: L, row: 7285, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7286 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7286, expected_value: E12000007, label: geography} + - {column: D, row: 7286, expected_value: Females, label: sex} + - {column: E, row: 7286, expected_value: Total, label: employment type} + - {column: J, row: 7286, expected_value: Value, label: measure} + - {column: L, row: 7287, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7288 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7288, expected_value: E12000007, label: geography} + - {column: D, row: 7288, expected_value: Females, label: sex} + - {column: E, row: 7288, expected_value: Total, label: employment type} + - {column: J, row: 7288, expected_value: Value, label: measure} + - {column: L, row: 7289, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7290 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7290, expected_value: E12000007, label: geography} + - {column: D, row: 7290, expected_value: Females, label: sex} + - {column: E, row: 7290, expected_value: Total, label: employment type} + - {column: J, row: 7290, expected_value: Value, label: measure} + - {column: L, row: 7291, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7292 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7292, expected_value: E12000007, label: geography} + - {column: D, row: 7292, expected_value: Females, label: sex} + - {column: E, row: 7292, expected_value: Total, label: employment type} + - {column: J, row: 7292, expected_value: Value, label: measure} + - {column: L, row: 7293, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7294 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7294, expected_value: E12000007, label: geography} + - {column: D, row: 7294, expected_value: Females, label: sex} + - {column: E, row: 7294, expected_value: Total, label: employment type} + - {column: J, row: 7294, expected_value: Value, label: measure} + - {column: L, row: 7295, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7296 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7296, expected_value: E12000007, label: geography} + - {column: D, row: 7296, expected_value: Females, label: sex} + - {column: E, row: 7296, expected_value: Total, label: employment type} + - {column: J, row: 7296, expected_value: Value, label: measure} + - {column: L, row: 7297, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7298 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7298, expected_value: E12000007, label: geography} + - {column: D, row: 7298, expected_value: Females, label: sex} + - {column: E, row: 7298, expected_value: Total, label: employment type} + - {column: J, row: 7298, expected_value: Value, label: measure} + - {column: L, row: 7299, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7300 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7300, expected_value: E12000007, label: geography} + - {column: D, row: 7300, expected_value: Females, label: sex} + - {column: E, row: 7300, expected_value: Total, label: employment type} + - {column: J, row: 7300, expected_value: Value, label: measure} + - {column: L, row: 7301, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7302 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7302, expected_value: E12000007, label: geography} + - {column: D, row: 7302, expected_value: Females, label: sex} + - {column: E, row: 7302, expected_value: Total, label: employment type} + - {column: J, row: 7302, expected_value: Value, label: measure} + - {column: L, row: 7303, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7304 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7304, expected_value: E12000007, label: geography} + - {column: D, row: 7304, expected_value: Females, label: sex} + - {column: E, row: 7304, expected_value: Total, label: employment type} + - {column: J, row: 7304, expected_value: Value, label: measure} + - {column: L, row: 7305, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7306 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7306, expected_value: E12000007, label: geography} + - {column: D, row: 7306, expected_value: Females, label: sex} + - {column: E, row: 7306, expected_value: Total, label: employment type} + - {column: J, row: 7306, expected_value: Value, label: measure} + - {column: L, row: 7307, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7308 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7308, expected_value: E12000007, label: geography} + - {column: D, row: 7308, expected_value: Females, label: sex} + - {column: E, row: 7308, expected_value: Total, label: employment type} + - {column: J, row: 7308, expected_value: Value, label: measure} + - {column: L, row: 7309, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7310 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7310, expected_value: E12000007, label: geography} + - {column: D, row: 7310, expected_value: Females, label: sex} + - {column: E, row: 7310, expected_value: Total, label: employment type} + - {column: J, row: 7310, expected_value: Value, label: measure} + - {column: L, row: 7311, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7312 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7312, expected_value: E12000007, label: geography} + - {column: D, row: 7312, expected_value: Females, label: sex} + - {column: E, row: 7312, expected_value: Total, label: employment type} + - {column: J, row: 7312, expected_value: Value, label: measure} + - {column: L, row: 7313, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7314 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7314, expected_value: E12000007, label: geography} + - {column: D, row: 7314, expected_value: Females, label: sex} + - {column: E, row: 7314, expected_value: Total, label: employment type} + - {column: J, row: 7314, expected_value: Value, label: measure} + - {column: L, row: 7315, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7316 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7316, expected_value: E12000007, label: geography} + - {column: D, row: 7316, expected_value: Females, label: sex} + - {column: E, row: 7316, expected_value: Total, label: employment type} + - {column: J, row: 7316, expected_value: Value, label: measure} + - {column: L, row: 7317, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7318 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7318, expected_value: E12000007, label: geography} + - {column: D, row: 7318, expected_value: Females, label: sex} + - {column: E, row: 7318, expected_value: Total, label: employment type} + - {column: J, row: 7318, expected_value: Value, label: measure} + - {column: L, row: 7319, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7320 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7320, expected_value: E12000007, label: geography} + - {column: D, row: 7320, expected_value: Females, label: sex} + - {column: E, row: 7320, expected_value: Total, label: employment type} + - {column: J, row: 7320, expected_value: Value, label: measure} + - {column: L, row: 7321, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7322 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7322, expected_value: E12000007, label: geography} + - {column: D, row: 7322, expected_value: Females, label: sex} + - {column: E, row: 7322, expected_value: Total, label: employment type} + - {column: J, row: 7322, expected_value: Value, label: measure} + - {column: L, row: 7323, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7324 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7324, expected_value: E12000007, label: geography} + - {column: D, row: 7324, expected_value: Females, label: sex} + - {column: E, row: 7324, expected_value: Total, label: employment type} + - {column: J, row: 7324, expected_value: Value, label: measure} + - {column: L, row: 7325, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7328 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7328, expected_value: E12000007, label: geography} + - {column: D, row: 7328, expected_value: Females, label: sex} + - {column: E, row: 7328, expected_value: Total, label: employment type} + - {column: J, row: 7328, expected_value: Value, label: measure} + - {column: L, row: 7329, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7330 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7330, expected_value: E12000007, label: geography} + - {column: D, row: 7330, expected_value: Females, label: sex} + - {column: E, row: 7330, expected_value: Total, label: employment type} + - {column: J, row: 7330, expected_value: Value, label: measure} + - {column: L, row: 7331, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7332 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7332, expected_value: E12000007, label: geography} + - {column: D, row: 7332, expected_value: Females, label: sex} + - {column: E, row: 7332, expected_value: Total, label: employment type} + - {column: J, row: 7332, expected_value: Value, label: measure} + - {column: L, row: 7333, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7334 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7334, expected_value: E12000007, label: geography} + - {column: D, row: 7334, expected_value: Females, label: sex} + - {column: E, row: 7334, expected_value: Total, label: employment type} + - {column: J, row: 7334, expected_value: Value, label: measure} + - {column: L, row: 7335, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7336 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7336, expected_value: E12000007, label: geography} + - {column: D, row: 7336, expected_value: Females, label: sex} + - {column: E, row: 7336, expected_value: Total, label: employment type} + - {column: J, row: 7336, expected_value: Value, label: measure} + - {column: L, row: 7337, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7338 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7338, expected_value: E12000007, label: geography} + - {column: D, row: 7338, expected_value: Females, label: sex} + - {column: E, row: 7338, expected_value: Total, label: employment type} + - {column: J, row: 7338, expected_value: Value, label: measure} + - {column: L, row: 7339, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7340 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7340, expected_value: E12000007, label: geography} + - {column: D, row: 7340, expected_value: Females, label: sex} + - {column: E, row: 7340, expected_value: Total, label: employment type} + - {column: J, row: 7340, expected_value: Value, label: measure} + - {column: L, row: 7341, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7342 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7342, expected_value: E12000007, label: geography} + - {column: D, row: 7342, expected_value: Females, label: sex} + - {column: E, row: 7342, expected_value: Total, label: employment type} + - {column: J, row: 7342, expected_value: Value, label: measure} + - {column: L, row: 7343, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7344 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7344, expected_value: E12000007, label: geography} + - {column: D, row: 7344, expected_value: Females, label: sex} + - {column: E, row: 7344, expected_value: Total, label: employment type} + - {column: J, row: 7344, expected_value: Value, label: measure} + - {column: L, row: 7345, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7275 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7275, expected_value: E12000007, label: geography} + - {column: D, row: 7275, expected_value: Females, label: sex} + - {column: E, row: 7275, expected_value: Total, label: employment type} + - {column: J, row: 7275, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7277 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7277, expected_value: E12000007, label: geography} + - {column: D, row: 7277, expected_value: Females, label: sex} + - {column: E, row: 7277, expected_value: Total, label: employment type} + - {column: J, row: 7277, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7279 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7279, expected_value: E12000007, label: geography} + - {column: D, row: 7279, expected_value: Females, label: sex} + - {column: E, row: 7279, expected_value: Total, label: employment type} + - {column: J, row: 7279, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7281 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7281, expected_value: E12000007, label: geography} + - {column: D, row: 7281, expected_value: Females, label: sex} + - {column: E, row: 7281, expected_value: Total, label: employment type} + - {column: J, row: 7281, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7283 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7283, expected_value: E12000007, label: geography} + - {column: D, row: 7283, expected_value: Females, label: sex} + - {column: E, row: 7283, expected_value: Total, label: employment type} + - {column: J, row: 7283, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7285 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7285, expected_value: E12000007, label: geography} + - {column: D, row: 7285, expected_value: Females, label: sex} + - {column: E, row: 7285, expected_value: Total, label: employment type} + - {column: J, row: 7285, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7287 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7287, expected_value: E12000007, label: geography} + - {column: D, row: 7287, expected_value: Females, label: sex} + - {column: E, row: 7287, expected_value: Total, label: employment type} + - {column: J, row: 7287, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7289 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7289, expected_value: E12000007, label: geography} + - {column: D, row: 7289, expected_value: Females, label: sex} + - {column: E, row: 7289, expected_value: Total, label: employment type} + - {column: J, row: 7289, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7291 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7291, expected_value: E12000007, label: geography} + - {column: D, row: 7291, expected_value: Females, label: sex} + - {column: E, row: 7291, expected_value: Total, label: employment type} + - {column: J, row: 7291, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7293 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7293, expected_value: E12000007, label: geography} + - {column: D, row: 7293, expected_value: Females, label: sex} + - {column: E, row: 7293, expected_value: Total, label: employment type} + - {column: J, row: 7293, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7295 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7295, expected_value: E12000007, label: geography} + - {column: D, row: 7295, expected_value: Females, label: sex} + - {column: E, row: 7295, expected_value: Total, label: employment type} + - {column: J, row: 7295, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7297 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7297, expected_value: E12000007, label: geography} + - {column: D, row: 7297, expected_value: Females, label: sex} + - {column: E, row: 7297, expected_value: Total, label: employment type} + - {column: J, row: 7297, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7299 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7299, expected_value: E12000007, label: geography} + - {column: D, row: 7299, expected_value: Females, label: sex} + - {column: E, row: 7299, expected_value: Total, label: employment type} + - {column: J, row: 7299, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7301 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7301, expected_value: E12000007, label: geography} + - {column: D, row: 7301, expected_value: Females, label: sex} + - {column: E, row: 7301, expected_value: Total, label: employment type} + - {column: J, row: 7301, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7303 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7303, expected_value: E12000007, label: geography} + - {column: D, row: 7303, expected_value: Females, label: sex} + - {column: E, row: 7303, expected_value: Total, label: employment type} + - {column: J, row: 7303, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7305 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7305, expected_value: E12000007, label: geography} + - {column: D, row: 7305, expected_value: Females, label: sex} + - {column: E, row: 7305, expected_value: Total, label: employment type} + - {column: J, row: 7305, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7307 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7307, expected_value: E12000007, label: geography} + - {column: D, row: 7307, expected_value: Females, label: sex} + - {column: E, row: 7307, expected_value: Total, label: employment type} + - {column: J, row: 7307, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7309 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7309, expected_value: E12000007, label: geography} + - {column: D, row: 7309, expected_value: Females, label: sex} + - {column: E, row: 7309, expected_value: Total, label: employment type} + - {column: J, row: 7309, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7311 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7311, expected_value: E12000007, label: geography} + - {column: D, row: 7311, expected_value: Females, label: sex} + - {column: E, row: 7311, expected_value: Total, label: employment type} + - {column: J, row: 7311, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7319 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7319, expected_value: E12000007, label: geography} + - {column: D, row: 7319, expected_value: Females, label: sex} + - {column: E, row: 7319, expected_value: Total, label: employment type} + - {column: J, row: 7319, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7321 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7321, expected_value: E12000007, label: geography} + - {column: D, row: 7321, expected_value: Females, label: sex} + - {column: E, row: 7321, expected_value: Total, label: employment type} + - {column: J, row: 7321, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7323 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7323, expected_value: E12000007, label: geography} + - {column: D, row: 7323, expected_value: Females, label: sex} + - {column: E, row: 7323, expected_value: Total, label: employment type} + - {column: J, row: 7323, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7325 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7325, expected_value: E12000007, label: geography} + - {column: D, row: 7325, expected_value: Females, label: sex} + - {column: E, row: 7325, expected_value: Total, label: employment type} + - {column: J, row: 7325, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7329 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7329, expected_value: E12000007, label: geography} + - {column: D, row: 7329, expected_value: Females, label: sex} + - {column: E, row: 7329, expected_value: Total, label: employment type} + - {column: J, row: 7329, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7331 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7331, expected_value: E12000007, label: geography} + - {column: D, row: 7331, expected_value: Females, label: sex} + - {column: E, row: 7331, expected_value: Total, label: employment type} + - {column: J, row: 7331, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7333 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7333, expected_value: E12000007, label: geography} + - {column: D, row: 7333, expected_value: Females, label: sex} + - {column: E, row: 7333, expected_value: Total, label: employment type} + - {column: J, row: 7333, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7335 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7335, expected_value: E12000007, label: geography} + - {column: D, row: 7335, expected_value: Females, label: sex} + - {column: E, row: 7335, expected_value: Total, label: employment type} + - {column: J, row: 7335, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7337 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7337, expected_value: E12000007, label: geography} + - {column: D, row: 7337, expected_value: Females, label: sex} + - {column: E, row: 7337, expected_value: Total, label: employment type} + - {column: J, row: 7337, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7339 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7339, expected_value: E12000007, label: geography} + - {column: D, row: 7339, expected_value: Females, label: sex} + - {column: E, row: 7339, expected_value: Total, label: employment type} + - {column: J, row: 7339, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7341 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7341, expected_value: E12000007, label: geography} + - {column: D, row: 7341, expected_value: Females, label: sex} + - {column: E, row: 7341, expected_value: Total, label: employment type} + - {column: J, row: 7341, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7345 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7345, expected_value: E12000007, label: geography} + - {column: D, row: 7345, expected_value: Females, label: sex} + - {column: E, row: 7345, expected_value: Total, label: employment type} + - {column: J, row: 7345, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7490 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7490, expected_value: E12000007, label: geography} + - {column: D, row: 7490, expected_value: Females, label: sex} + - {column: E, row: 7490, expected_value: Employee, label: employment type} + - {column: J, row: 7490, expected_value: Value, label: measure} + - {column: L, row: 7491, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7492 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7492, expected_value: E12000007, label: geography} + - {column: D, row: 7492, expected_value: Females, label: sex} + - {column: E, row: 7492, expected_value: Employee, label: employment type} + - {column: J, row: 7492, expected_value: Value, label: measure} + - {column: L, row: 7493, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7494 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7494, expected_value: E12000007, label: geography} + - {column: D, row: 7494, expected_value: Females, label: sex} + - {column: E, row: 7494, expected_value: Employee, label: employment type} + - {column: J, row: 7494, expected_value: Value, label: measure} + - {column: L, row: 7495, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7496 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7496, expected_value: E12000007, label: geography} + - {column: D, row: 7496, expected_value: Females, label: sex} + - {column: E, row: 7496, expected_value: Employee, label: employment type} + - {column: J, row: 7496, expected_value: Value, label: measure} + - {column: L, row: 7497, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7498 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7498, expected_value: E12000007, label: geography} + - {column: D, row: 7498, expected_value: Females, label: sex} + - {column: E, row: 7498, expected_value: Employee, label: employment type} + - {column: J, row: 7498, expected_value: Value, label: measure} + - {column: L, row: 7499, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7500 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7500, expected_value: E12000007, label: geography} + - {column: D, row: 7500, expected_value: Females, label: sex} + - {column: E, row: 7500, expected_value: Employee, label: employment type} + - {column: J, row: 7500, expected_value: Value, label: measure} + - {column: L, row: 7501, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7502 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7502, expected_value: E12000007, label: geography} + - {column: D, row: 7502, expected_value: Females, label: sex} + - {column: E, row: 7502, expected_value: Employee, label: employment type} + - {column: J, row: 7502, expected_value: Value, label: measure} + - {column: L, row: 7503, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7504 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7504, expected_value: E12000007, label: geography} + - {column: D, row: 7504, expected_value: Females, label: sex} + - {column: E, row: 7504, expected_value: Employee, label: employment type} + - {column: J, row: 7504, expected_value: Value, label: measure} + - {column: L, row: 7505, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7506 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7506, expected_value: E12000007, label: geography} + - {column: D, row: 7506, expected_value: Females, label: sex} + - {column: E, row: 7506, expected_value: Employee, label: employment type} + - {column: J, row: 7506, expected_value: Value, label: measure} + - {column: L, row: 7507, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7508 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7508, expected_value: E12000007, label: geography} + - {column: D, row: 7508, expected_value: Females, label: sex} + - {column: E, row: 7508, expected_value: Employee, label: employment type} + - {column: J, row: 7508, expected_value: Value, label: measure} + - {column: L, row: 7509, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7510 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7510, expected_value: E12000007, label: geography} + - {column: D, row: 7510, expected_value: Females, label: sex} + - {column: E, row: 7510, expected_value: Employee, label: employment type} + - {column: J, row: 7510, expected_value: Value, label: measure} + - {column: L, row: 7511, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7512 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7512, expected_value: E12000007, label: geography} + - {column: D, row: 7512, expected_value: Females, label: sex} + - {column: E, row: 7512, expected_value: Employee, label: employment type} + - {column: J, row: 7512, expected_value: Value, label: measure} + - {column: L, row: 7513, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7514 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7514, expected_value: E12000007, label: geography} + - {column: D, row: 7514, expected_value: Females, label: sex} + - {column: E, row: 7514, expected_value: Employee, label: employment type} + - {column: J, row: 7514, expected_value: Value, label: measure} + - {column: L, row: 7515, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7516 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7516, expected_value: E12000007, label: geography} + - {column: D, row: 7516, expected_value: Females, label: sex} + - {column: E, row: 7516, expected_value: Employee, label: employment type} + - {column: J, row: 7516, expected_value: Value, label: measure} + - {column: L, row: 7517, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7518 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7518, expected_value: E12000007, label: geography} + - {column: D, row: 7518, expected_value: Females, label: sex} + - {column: E, row: 7518, expected_value: Employee, label: employment type} + - {column: J, row: 7518, expected_value: Value, label: measure} + - {column: L, row: 7519, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7520 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7520, expected_value: E12000007, label: geography} + - {column: D, row: 7520, expected_value: Females, label: sex} + - {column: E, row: 7520, expected_value: Employee, label: employment type} + - {column: J, row: 7520, expected_value: Value, label: measure} + - {column: L, row: 7521, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7522 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7522, expected_value: E12000007, label: geography} + - {column: D, row: 7522, expected_value: Females, label: sex} + - {column: E, row: 7522, expected_value: Employee, label: employment type} + - {column: J, row: 7522, expected_value: Value, label: measure} + - {column: L, row: 7523, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7524 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7524, expected_value: E12000007, label: geography} + - {column: D, row: 7524, expected_value: Females, label: sex} + - {column: E, row: 7524, expected_value: Employee, label: employment type} + - {column: J, row: 7524, expected_value: Value, label: measure} + - {column: L, row: 7525, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7526 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7526, expected_value: E12000007, label: geography} + - {column: D, row: 7526, expected_value: Females, label: sex} + - {column: E, row: 7526, expected_value: Employee, label: employment type} + - {column: J, row: 7526, expected_value: Value, label: measure} + - {column: L, row: 7527, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7528 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7528, expected_value: E12000007, label: geography} + - {column: D, row: 7528, expected_value: Females, label: sex} + - {column: E, row: 7528, expected_value: Employee, label: employment type} + - {column: J, row: 7528, expected_value: Value, label: measure} + - {column: L, row: 7529, expected_value: F, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7530 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7530, expected_value: E12000007, label: geography} + - {column: D, row: 7530, expected_value: Females, label: sex} + - {column: E, row: 7530, expected_value: Employee, label: employment type} + - {column: J, row: 7530, expected_value: Value, label: measure} + - {column: L, row: 7531, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7532 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7532, expected_value: E12000007, label: geography} + - {column: D, row: 7532, expected_value: Females, label: sex} + - {column: E, row: 7532, expected_value: Employee, label: employment type} + - {column: J, row: 7532, expected_value: Value, label: measure} + - {column: L, row: 7533, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7534 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7534, expected_value: E12000007, label: geography} + - {column: D, row: 7534, expected_value: Females, label: sex} + - {column: E, row: 7534, expected_value: Employee, label: employment type} + - {column: J, row: 7534, expected_value: Value, label: measure} + - {column: L, row: 7535, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7536 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7536, expected_value: E12000007, label: geography} + - {column: D, row: 7536, expected_value: Females, label: sex} + - {column: E, row: 7536, expected_value: Employee, label: employment type} + - {column: J, row: 7536, expected_value: Value, label: measure} + - {column: L, row: 7537, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7538 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7538, expected_value: E12000007, label: geography} + - {column: D, row: 7538, expected_value: Females, label: sex} + - {column: E, row: 7538, expected_value: Employee, label: employment type} + - {column: J, row: 7538, expected_value: Value, label: measure} + - {column: L, row: 7539, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7540 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7540, expected_value: E12000007, label: geography} + - {column: D, row: 7540, expected_value: Females, label: sex} + - {column: E, row: 7540, expected_value: Employee, label: employment type} + - {column: J, row: 7540, expected_value: Value, label: measure} + - {column: L, row: 7541, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7544 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7544, expected_value: E12000007, label: geography} + - {column: D, row: 7544, expected_value: Females, label: sex} + - {column: E, row: 7544, expected_value: Employee, label: employment type} + - {column: J, row: 7544, expected_value: Value, label: measure} + - {column: L, row: 7545, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7546 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7546, expected_value: E12000007, label: geography} + - {column: D, row: 7546, expected_value: Females, label: sex} + - {column: E, row: 7546, expected_value: Employee, label: employment type} + - {column: J, row: 7546, expected_value: Value, label: measure} + - {column: L, row: 7547, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7548 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7548, expected_value: E12000007, label: geography} + - {column: D, row: 7548, expected_value: Females, label: sex} + - {column: E, row: 7548, expected_value: Employee, label: employment type} + - {column: J, row: 7548, expected_value: Value, label: measure} + - {column: L, row: 7549, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7550 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7550, expected_value: E12000007, label: geography} + - {column: D, row: 7550, expected_value: Females, label: sex} + - {column: E, row: 7550, expected_value: Employee, label: employment type} + - {column: J, row: 7550, expected_value: Value, label: measure} + - {column: L, row: 7551, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7552 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7552, expected_value: E12000007, label: geography} + - {column: D, row: 7552, expected_value: Females, label: sex} + - {column: E, row: 7552, expected_value: Employee, label: employment type} + - {column: J, row: 7552, expected_value: Value, label: measure} + - {column: L, row: 7553, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7554 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7554, expected_value: E12000007, label: geography} + - {column: D, row: 7554, expected_value: Females, label: sex} + - {column: E, row: 7554, expected_value: Employee, label: employment type} + - {column: J, row: 7554, expected_value: Value, label: measure} + - {column: L, row: 7555, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7556 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7556, expected_value: E12000007, label: geography} + - {column: D, row: 7556, expected_value: Females, label: sex} + - {column: E, row: 7556, expected_value: Employee, label: employment type} + - {column: J, row: 7556, expected_value: Value, label: measure} + - {column: L, row: 7557, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7558 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7558, expected_value: E12000007, label: geography} + - {column: D, row: 7558, expected_value: Females, label: sex} + - {column: E, row: 7558, expected_value: Employee, label: employment type} + - {column: J, row: 7558, expected_value: Value, label: measure} + - {column: L, row: 7559, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7560 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7560, expected_value: E12000007, label: geography} + - {column: D, row: 7560, expected_value: Females, label: sex} + - {column: E, row: 7560, expected_value: Employee, label: employment type} + - {column: J, row: 7560, expected_value: Value, label: measure} + - {column: L, row: 7561, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7491 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7491, expected_value: E12000007, label: geography} + - {column: D, row: 7491, expected_value: Females, label: sex} + - {column: E, row: 7491, expected_value: Employee, label: employment type} + - {column: J, row: 7491, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7493 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7493, expected_value: E12000007, label: geography} + - {column: D, row: 7493, expected_value: Females, label: sex} + - {column: E, row: 7493, expected_value: Employee, label: employment type} + - {column: J, row: 7493, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7495 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7495, expected_value: E12000007, label: geography} + - {column: D, row: 7495, expected_value: Females, label: sex} + - {column: E, row: 7495, expected_value: Employee, label: employment type} + - {column: J, row: 7495, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7497 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7497, expected_value: E12000007, label: geography} + - {column: D, row: 7497, expected_value: Females, label: sex} + - {column: E, row: 7497, expected_value: Employee, label: employment type} + - {column: J, row: 7497, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7499 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7499, expected_value: E12000007, label: geography} + - {column: D, row: 7499, expected_value: Females, label: sex} + - {column: E, row: 7499, expected_value: Employee, label: employment type} + - {column: J, row: 7499, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7501 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7501, expected_value: E12000007, label: geography} + - {column: D, row: 7501, expected_value: Females, label: sex} + - {column: E, row: 7501, expected_value: Employee, label: employment type} + - {column: J, row: 7501, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7503 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7503, expected_value: E12000007, label: geography} + - {column: D, row: 7503, expected_value: Females, label: sex} + - {column: E, row: 7503, expected_value: Employee, label: employment type} + - {column: J, row: 7503, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7505 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7505, expected_value: E12000007, label: geography} + - {column: D, row: 7505, expected_value: Females, label: sex} + - {column: E, row: 7505, expected_value: Employee, label: employment type} + - {column: J, row: 7505, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7507 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7507, expected_value: E12000007, label: geography} + - {column: D, row: 7507, expected_value: Females, label: sex} + - {column: E, row: 7507, expected_value: Employee, label: employment type} + - {column: J, row: 7507, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7509 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7509, expected_value: E12000007, label: geography} + - {column: D, row: 7509, expected_value: Females, label: sex} + - {column: E, row: 7509, expected_value: Employee, label: employment type} + - {column: J, row: 7509, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7511 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7511, expected_value: E12000007, label: geography} + - {column: D, row: 7511, expected_value: Females, label: sex} + - {column: E, row: 7511, expected_value: Employee, label: employment type} + - {column: J, row: 7511, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7513 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7513, expected_value: E12000007, label: geography} + - {column: D, row: 7513, expected_value: Females, label: sex} + - {column: E, row: 7513, expected_value: Employee, label: employment type} + - {column: J, row: 7513, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7515 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7515, expected_value: E12000007, label: geography} + - {column: D, row: 7515, expected_value: Females, label: sex} + - {column: E, row: 7515, expected_value: Employee, label: employment type} + - {column: J, row: 7515, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7517 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7517, expected_value: E12000007, label: geography} + - {column: D, row: 7517, expected_value: Females, label: sex} + - {column: E, row: 7517, expected_value: Employee, label: employment type} + - {column: J, row: 7517, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7519 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7519, expected_value: E12000007, label: geography} + - {column: D, row: 7519, expected_value: Females, label: sex} + - {column: E, row: 7519, expected_value: Employee, label: employment type} + - {column: J, row: 7519, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7521 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7521, expected_value: E12000007, label: geography} + - {column: D, row: 7521, expected_value: Females, label: sex} + - {column: E, row: 7521, expected_value: Employee, label: employment type} + - {column: J, row: 7521, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7523 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7523, expected_value: E12000007, label: geography} + - {column: D, row: 7523, expected_value: Females, label: sex} + - {column: E, row: 7523, expected_value: Employee, label: employment type} + - {column: J, row: 7523, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7525 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7525, expected_value: E12000007, label: geography} + - {column: D, row: 7525, expected_value: Females, label: sex} + - {column: E, row: 7525, expected_value: Employee, label: employment type} + - {column: J, row: 7525, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7527 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7527, expected_value: E12000007, label: geography} + - {column: D, row: 7527, expected_value: Females, label: sex} + - {column: E, row: 7527, expected_value: Employee, label: employment type} + - {column: J, row: 7527, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7535 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7535, expected_value: E12000007, label: geography} + - {column: D, row: 7535, expected_value: Females, label: sex} + - {column: E, row: 7535, expected_value: Employee, label: employment type} + - {column: J, row: 7535, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7537 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7537, expected_value: E12000007, label: geography} + - {column: D, row: 7537, expected_value: Females, label: sex} + - {column: E, row: 7537, expected_value: Employee, label: employment type} + - {column: J, row: 7537, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7539 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7539, expected_value: E12000007, label: geography} + - {column: D, row: 7539, expected_value: Females, label: sex} + - {column: E, row: 7539, expected_value: Employee, label: employment type} + - {column: J, row: 7539, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7541 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7541, expected_value: E12000007, label: geography} + - {column: D, row: 7541, expected_value: Females, label: sex} + - {column: E, row: 7541, expected_value: Employee, label: employment type} + - {column: J, row: 7541, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7545 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7545, expected_value: E12000007, label: geography} + - {column: D, row: 7545, expected_value: Females, label: sex} + - {column: E, row: 7545, expected_value: Employee, label: employment type} + - {column: J, row: 7545, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7547 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7547, expected_value: E12000007, label: geography} + - {column: D, row: 7547, expected_value: Females, label: sex} + - {column: E, row: 7547, expected_value: Employee, label: employment type} + - {column: J, row: 7547, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7549 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7549, expected_value: E12000007, label: geography} + - {column: D, row: 7549, expected_value: Females, label: sex} + - {column: E, row: 7549, expected_value: Employee, label: employment type} + - {column: J, row: 7549, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7551 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7551, expected_value: E12000007, label: geography} + - {column: D, row: 7551, expected_value: Females, label: sex} + - {column: E, row: 7551, expected_value: Employee, label: employment type} + - {column: J, row: 7551, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7553 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7553, expected_value: E12000007, label: geography} + - {column: D, row: 7553, expected_value: Females, label: sex} + - {column: E, row: 7553, expected_value: Employee, label: employment type} + - {column: J, row: 7553, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7557 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7557, expected_value: E12000007, label: geography} + - {column: D, row: 7557, expected_value: Females, label: sex} + - {column: E, row: 7557, expected_value: Employee, label: employment type} + - {column: J, row: 7557, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7561 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7561, expected_value: E12000007, label: geography} + - {column: D, row: 7561, expected_value: Females, label: sex} + - {column: E, row: 7561, expected_value: Employee, label: employment type} + - {column: J, row: 7561, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7706 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7706, expected_value: E12000007, label: geography} + - {column: D, row: 7706, expected_value: Females, label: sex} + - {column: E, row: 7706, expected_value: Self-employed, label: employment type} + - {column: J, row: 7706, expected_value: Value, label: measure} + - {column: L, row: 7707, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7708 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7708, expected_value: E12000007, label: geography} + - {column: D, row: 7708, expected_value: Females, label: sex} + - {column: E, row: 7708, expected_value: Self-employed, label: employment type} + - {column: J, row: 7708, expected_value: Value, label: measure} + - {column: L, row: 7709, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7710 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7710, expected_value: E12000007, label: geography} + - {column: D, row: 7710, expected_value: Females, label: sex} + - {column: E, row: 7710, expected_value: Self-employed, label: employment type} + - {column: J, row: 7710, expected_value: Value, label: measure} + - {column: L, row: 7711, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7712 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7712, expected_value: E12000007, label: geography} + - {column: D, row: 7712, expected_value: Females, label: sex} + - {column: E, row: 7712, expected_value: Self-employed, label: employment type} + - {column: J, row: 7712, expected_value: Value, label: measure} + - {column: L, row: 7713, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7714 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7714, expected_value: E12000007, label: geography} + - {column: D, row: 7714, expected_value: Females, label: sex} + - {column: E, row: 7714, expected_value: Self-employed, label: employment type} + - {column: J, row: 7714, expected_value: Value, label: measure} + - {column: L, row: 7715, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7716 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7716, expected_value: E12000007, label: geography} + - {column: D, row: 7716, expected_value: Females, label: sex} + - {column: E, row: 7716, expected_value: Self-employed, label: employment type} + - {column: J, row: 7716, expected_value: Value, label: measure} + - {column: L, row: 7717, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7718 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7718, expected_value: E12000007, label: geography} + - {column: D, row: 7718, expected_value: Females, label: sex} + - {column: E, row: 7718, expected_value: Self-employed, label: employment type} + - {column: J, row: 7718, expected_value: Value, label: measure} + - {column: L, row: 7719, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7720 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7720, expected_value: E12000007, label: geography} + - {column: D, row: 7720, expected_value: Females, label: sex} + - {column: E, row: 7720, expected_value: Self-employed, label: employment type} + - {column: J, row: 7720, expected_value: Value, label: measure} + - {column: L, row: 7721, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7722 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7722, expected_value: E12000007, label: geography} + - {column: D, row: 7722, expected_value: Females, label: sex} + - {column: E, row: 7722, expected_value: Self-employed, label: employment type} + - {column: J, row: 7722, expected_value: Value, label: measure} + - {column: L, row: 7723, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7724 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7724, expected_value: E12000007, label: geography} + - {column: D, row: 7724, expected_value: Females, label: sex} + - {column: E, row: 7724, expected_value: Self-employed, label: employment type} + - {column: J, row: 7724, expected_value: Value, label: measure} + - {column: L, row: 7725, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7726 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7726, expected_value: E12000007, label: geography} + - {column: D, row: 7726, expected_value: Females, label: sex} + - {column: E, row: 7726, expected_value: Self-employed, label: employment type} + - {column: J, row: 7726, expected_value: Value, label: measure} + - {column: L, row: 7727, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7728 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7728, expected_value: E12000007, label: geography} + - {column: D, row: 7728, expected_value: Females, label: sex} + - {column: E, row: 7728, expected_value: Self-employed, label: employment type} + - {column: J, row: 7728, expected_value: Value, label: measure} + - {column: L, row: 7729, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7732 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7732, expected_value: E12000007, label: geography} + - {column: D, row: 7732, expected_value: Females, label: sex} + - {column: E, row: 7732, expected_value: Self-employed, label: employment type} + - {column: J, row: 7732, expected_value: Value, label: measure} + - {column: L, row: 7733, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7734 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7734, expected_value: E12000007, label: geography} + - {column: D, row: 7734, expected_value: Females, label: sex} + - {column: E, row: 7734, expected_value: Self-employed, label: employment type} + - {column: J, row: 7734, expected_value: Value, label: measure} + - {column: L, row: 7735, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7736 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7736, expected_value: E12000007, label: geography} + - {column: D, row: 7736, expected_value: Females, label: sex} + - {column: E, row: 7736, expected_value: Self-employed, label: employment type} + - {column: J, row: 7736, expected_value: Value, label: measure} + - {column: L, row: 7737, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7738 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7738, expected_value: E12000007, label: geography} + - {column: D, row: 7738, expected_value: Females, label: sex} + - {column: E, row: 7738, expected_value: Self-employed, label: employment type} + - {column: J, row: 7738, expected_value: Value, label: measure} + - {column: L, row: 7739, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7740 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7740, expected_value: E12000007, label: geography} + - {column: D, row: 7740, expected_value: Females, label: sex} + - {column: E, row: 7740, expected_value: Self-employed, label: employment type} + - {column: J, row: 7740, expected_value: Value, label: measure} + - {column: L, row: 7741, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7742 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7742, expected_value: E12000007, label: geography} + - {column: D, row: 7742, expected_value: Females, label: sex} + - {column: E, row: 7742, expected_value: Self-employed, label: employment type} + - {column: J, row: 7742, expected_value: Value, label: measure} + - {column: L, row: 7743, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7744 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7744, expected_value: E12000007, label: geography} + - {column: D, row: 7744, expected_value: Females, label: sex} + - {column: E, row: 7744, expected_value: Self-employed, label: employment type} + - {column: J, row: 7744, expected_value: Value, label: measure} + - {column: L, row: 7745, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7748 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7748, expected_value: E12000007, label: geography} + - {column: D, row: 7748, expected_value: Females, label: sex} + - {column: E, row: 7748, expected_value: Self-employed, label: employment type} + - {column: J, row: 7748, expected_value: Value, label: measure} + - {column: L, row: 7749, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7750 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7750, expected_value: E12000007, label: geography} + - {column: D, row: 7750, expected_value: Females, label: sex} + - {column: E, row: 7750, expected_value: Self-employed, label: employment type} + - {column: J, row: 7750, expected_value: Value, label: measure} + - {column: L, row: 7751, expected_value: G, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7752 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7752, expected_value: E12000007, label: geography} + - {column: D, row: 7752, expected_value: Females, label: sex} + - {column: E, row: 7752, expected_value: Self-employed, label: employment type} + - {column: J, row: 7752, expected_value: Value, label: measure} + - {column: L, row: 7753, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7754 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7754, expected_value: E12000007, label: geography} + - {column: D, row: 7754, expected_value: Females, label: sex} + - {column: E, row: 7754, expected_value: Self-employed, label: employment type} + - {column: J, row: 7754, expected_value: Value, label: measure} + - {column: L, row: 7755, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7756 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7756, expected_value: E12000007, label: geography} + - {column: D, row: 7756, expected_value: Females, label: sex} + - {column: E, row: 7756, expected_value: Self-employed, label: employment type} + - {column: J, row: 7756, expected_value: Value, label: measure} + - {column: L, row: 7757, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7760 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7760, expected_value: E12000007, label: geography} + - {column: D, row: 7760, expected_value: Females, label: sex} + - {column: E, row: 7760, expected_value: Self-employed, label: employment type} + - {column: J, row: 7760, expected_value: Value, label: measure} + - {column: L, row: 7761, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7762 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7762, expected_value: E12000007, label: geography} + - {column: D, row: 7762, expected_value: Females, label: sex} + - {column: E, row: 7762, expected_value: Self-employed, label: employment type} + - {column: J, row: 7762, expected_value: Value, label: measure} + - {column: L, row: 7763, expected_value: G, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7764 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7764, expected_value: E12000007, label: geography} + - {column: D, row: 7764, expected_value: Females, label: sex} + - {column: E, row: 7764, expected_value: Self-employed, label: employment type} + - {column: J, row: 7764, expected_value: Value, label: measure} + - {column: L, row: 7765, expected_value: G, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7766 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7766, expected_value: E12000007, label: geography} + - {column: D, row: 7766, expected_value: Females, label: sex} + - {column: E, row: 7766, expected_value: Self-employed, label: employment type} + - {column: J, row: 7766, expected_value: Value, label: measure} + - {column: L, row: 7767, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7768 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7768, expected_value: E12000007, label: geography} + - {column: D, row: 7768, expected_value: Females, label: sex} + - {column: E, row: 7768, expected_value: Self-employed, label: employment type} + - {column: J, row: 7768, expected_value: Value, label: measure} + - {column: L, row: 7769, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7770 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7770, expected_value: E12000007, label: geography} + - {column: D, row: 7770, expected_value: Females, label: sex} + - {column: E, row: 7770, expected_value: Self-employed, label: employment type} + - {column: J, row: 7770, expected_value: Value, label: measure} + - {column: L, row: 7771, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7772 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7772, expected_value: E12000007, label: geography} + - {column: D, row: 7772, expected_value: Females, label: sex} + - {column: E, row: 7772, expected_value: Self-employed, label: employment type} + - {column: J, row: 7772, expected_value: Value, label: measure} + - {column: L, row: 7773, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7776 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7776, expected_value: E12000007, label: geography} + - {column: D, row: 7776, expected_value: Females, label: sex} + - {column: E, row: 7776, expected_value: Self-employed, label: employment type} + - {column: J, row: 7776, expected_value: Value, label: measure} + - {column: L, row: 7777, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000007.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000007.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000007.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000007 + geography_level: region + geography_name: London + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7707 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7707, expected_value: E12000007, label: geography} + - {column: D, row: 7707, expected_value: Females, label: sex} + - {column: E, row: 7707, expected_value: Self-employed, label: employment type} + - {column: J, row: 7707, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7709 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7709, expected_value: E12000007, label: geography} + - {column: D, row: 7709, expected_value: Females, label: sex} + - {column: E, row: 7709, expected_value: Self-employed, label: employment type} + - {column: J, row: 7709, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7711 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7711, expected_value: E12000007, label: geography} + - {column: D, row: 7711, expected_value: Females, label: sex} + - {column: E, row: 7711, expected_value: Self-employed, label: employment type} + - {column: J, row: 7711, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7713 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7713, expected_value: E12000007, label: geography} + - {column: D, row: 7713, expected_value: Females, label: sex} + - {column: E, row: 7713, expected_value: Self-employed, label: employment type} + - {column: J, row: 7713, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7715 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7715, expected_value: E12000007, label: geography} + - {column: D, row: 7715, expected_value: Females, label: sex} + - {column: E, row: 7715, expected_value: Self-employed, label: employment type} + - {column: J, row: 7715, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7717 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7717, expected_value: E12000007, label: geography} + - {column: D, row: 7717, expected_value: Females, label: sex} + - {column: E, row: 7717, expected_value: Self-employed, label: employment type} + - {column: J, row: 7717, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7719 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7719, expected_value: E12000007, label: geography} + - {column: D, row: 7719, expected_value: Females, label: sex} + - {column: E, row: 7719, expected_value: Self-employed, label: employment type} + - {column: J, row: 7719, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7721 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7721, expected_value: E12000007, label: geography} + - {column: D, row: 7721, expected_value: Females, label: sex} + - {column: E, row: 7721, expected_value: Self-employed, label: employment type} + - {column: J, row: 7721, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7723 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7723, expected_value: E12000007, label: geography} + - {column: D, row: 7723, expected_value: Females, label: sex} + - {column: E, row: 7723, expected_value: Self-employed, label: employment type} + - {column: J, row: 7723, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7725 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7725, expected_value: E12000007, label: geography} + - {column: D, row: 7725, expected_value: Females, label: sex} + - {column: E, row: 7725, expected_value: Self-employed, label: employment type} + - {column: J, row: 7725, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7729 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7729, expected_value: E12000007, label: geography} + - {column: D, row: 7729, expected_value: Females, label: sex} + - {column: E, row: 7729, expected_value: Self-employed, label: employment type} + - {column: J, row: 7729, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7733 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7733, expected_value: E12000007, label: geography} + - {column: D, row: 7733, expected_value: Females, label: sex} + - {column: E, row: 7733, expected_value: Self-employed, label: employment type} + - {column: J, row: 7733, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7735 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7735, expected_value: E12000007, label: geography} + - {column: D, row: 7735, expected_value: Females, label: sex} + - {column: E, row: 7735, expected_value: Self-employed, label: employment type} + - {column: J, row: 7735, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7737 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7737, expected_value: E12000007, label: geography} + - {column: D, row: 7737, expected_value: Females, label: sex} + - {column: E, row: 7737, expected_value: Self-employed, label: employment type} + - {column: J, row: 7737, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7739 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7739, expected_value: E12000007, label: geography} + - {column: D, row: 7739, expected_value: Females, label: sex} + - {column: E, row: 7739, expected_value: Self-employed, label: employment type} + - {column: J, row: 7739, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7743 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7743, expected_value: E12000007, label: geography} + - {column: D, row: 7743, expected_value: Females, label: sex} + - {column: E, row: 7743, expected_value: Self-employed, label: employment type} + - {column: J, row: 7743, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7753 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7753, expected_value: E12000007, label: geography} + - {column: D, row: 7753, expected_value: Females, label: sex} + - {column: E, row: 7753, expected_value: Self-employed, label: employment type} + - {column: J, row: 7753, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7755 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7755, expected_value: E12000007, label: geography} + - {column: D, row: 7755, expected_value: Females, label: sex} + - {column: E, row: 7755, expected_value: Self-employed, label: employment type} + - {column: J, row: 7755, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7757 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7757, expected_value: E12000007, label: geography} + - {column: D, row: 7757, expected_value: Females, label: sex} + - {column: E, row: 7757, expected_value: Self-employed, label: employment type} + - {column: J, row: 7757, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7761 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7761, expected_value: E12000007, label: geography} + - {column: D, row: 7761, expected_value: Females, label: sex} + - {column: E, row: 7761, expected_value: Self-employed, label: employment type} + - {column: J, row: 7761, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7767 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7767, expected_value: E12000007, label: geography} + - {column: D, row: 7767, expected_value: Females, label: sex} + - {column: E, row: 7767, expected_value: Self-employed, label: employment type} + - {column: J, row: 7767, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7771 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7771, expected_value: E12000007, label: geography} + - {column: D, row: 7771, expected_value: Females, label: sex} + - {column: E, row: 7771, expected_value: Self-employed, label: employment type} + - {column: J, row: 7771, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7773 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7773, expected_value: E12000007, label: geography} + - {column: D, row: 7773, expected_value: Females, label: sex} + - {column: E, row: 7773, expected_value: Self-employed, label: employment type} + - {column: J, row: 7773, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7777 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7777, expected_value: E12000007, label: geography} + - {column: D, row: 7777, expected_value: Females, label: sex} + - {column: E, row: 7777, expected_value: Self-employed, label: employment type} + - {column: J, row: 7777, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7778 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7778, expected_value: E12000008, label: geography} + - {column: D, row: 7778, expected_value: All persons, label: sex} + - {column: E, row: 7778, expected_value: Total, label: employment type} + - {column: J, row: 7778, expected_value: Value, label: measure} + - {column: L, row: 7779, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7780 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7780, expected_value: E12000008, label: geography} + - {column: D, row: 7780, expected_value: All persons, label: sex} + - {column: E, row: 7780, expected_value: Total, label: employment type} + - {column: J, row: 7780, expected_value: Value, label: measure} + - {column: L, row: 7781, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7782 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7782, expected_value: E12000008, label: geography} + - {column: D, row: 7782, expected_value: All persons, label: sex} + - {column: E, row: 7782, expected_value: Total, label: employment type} + - {column: J, row: 7782, expected_value: Value, label: measure} + - {column: L, row: 7783, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7784 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7784, expected_value: E12000008, label: geography} + - {column: D, row: 7784, expected_value: All persons, label: sex} + - {column: E, row: 7784, expected_value: Total, label: employment type} + - {column: J, row: 7784, expected_value: Value, label: measure} + - {column: L, row: 7785, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7786 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7786, expected_value: E12000008, label: geography} + - {column: D, row: 7786, expected_value: All persons, label: sex} + - {column: E, row: 7786, expected_value: Total, label: employment type} + - {column: J, row: 7786, expected_value: Value, label: measure} + - {column: L, row: 7787, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7788 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7788, expected_value: E12000008, label: geography} + - {column: D, row: 7788, expected_value: All persons, label: sex} + - {column: E, row: 7788, expected_value: Total, label: employment type} + - {column: J, row: 7788, expected_value: Value, label: measure} + - {column: L, row: 7789, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7790 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7790, expected_value: E12000008, label: geography} + - {column: D, row: 7790, expected_value: All persons, label: sex} + - {column: E, row: 7790, expected_value: Total, label: employment type} + - {column: J, row: 7790, expected_value: Value, label: measure} + - {column: L, row: 7791, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7792 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7792, expected_value: E12000008, label: geography} + - {column: D, row: 7792, expected_value: All persons, label: sex} + - {column: E, row: 7792, expected_value: Total, label: employment type} + - {column: J, row: 7792, expected_value: Value, label: measure} + - {column: L, row: 7793, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7794 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7794, expected_value: E12000008, label: geography} + - {column: D, row: 7794, expected_value: All persons, label: sex} + - {column: E, row: 7794, expected_value: Total, label: employment type} + - {column: J, row: 7794, expected_value: Value, label: measure} + - {column: L, row: 7795, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7796 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7796, expected_value: E12000008, label: geography} + - {column: D, row: 7796, expected_value: All persons, label: sex} + - {column: E, row: 7796, expected_value: Total, label: employment type} + - {column: J, row: 7796, expected_value: Value, label: measure} + - {column: L, row: 7797, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7798 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7798, expected_value: E12000008, label: geography} + - {column: D, row: 7798, expected_value: All persons, label: sex} + - {column: E, row: 7798, expected_value: Total, label: employment type} + - {column: J, row: 7798, expected_value: Value, label: measure} + - {column: L, row: 7799, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7800 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7800, expected_value: E12000008, label: geography} + - {column: D, row: 7800, expected_value: All persons, label: sex} + - {column: E, row: 7800, expected_value: Total, label: employment type} + - {column: J, row: 7800, expected_value: Value, label: measure} + - {column: L, row: 7801, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7802 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7802, expected_value: E12000008, label: geography} + - {column: D, row: 7802, expected_value: All persons, label: sex} + - {column: E, row: 7802, expected_value: Total, label: employment type} + - {column: J, row: 7802, expected_value: Value, label: measure} + - {column: L, row: 7803, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7804 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7804, expected_value: E12000008, label: geography} + - {column: D, row: 7804, expected_value: All persons, label: sex} + - {column: E, row: 7804, expected_value: Total, label: employment type} + - {column: J, row: 7804, expected_value: Value, label: measure} + - {column: L, row: 7805, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7806 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7806, expected_value: E12000008, label: geography} + - {column: D, row: 7806, expected_value: All persons, label: sex} + - {column: E, row: 7806, expected_value: Total, label: employment type} + - {column: J, row: 7806, expected_value: Value, label: measure} + - {column: L, row: 7807, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7808 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7808, expected_value: E12000008, label: geography} + - {column: D, row: 7808, expected_value: All persons, label: sex} + - {column: E, row: 7808, expected_value: Total, label: employment type} + - {column: J, row: 7808, expected_value: Value, label: measure} + - {column: L, row: 7809, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7810 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7810, expected_value: E12000008, label: geography} + - {column: D, row: 7810, expected_value: All persons, label: sex} + - {column: E, row: 7810, expected_value: Total, label: employment type} + - {column: J, row: 7810, expected_value: Value, label: measure} + - {column: L, row: 7811, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7812 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7812, expected_value: E12000008, label: geography} + - {column: D, row: 7812, expected_value: All persons, label: sex} + - {column: E, row: 7812, expected_value: Total, label: employment type} + - {column: J, row: 7812, expected_value: Value, label: measure} + - {column: L, row: 7813, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7814 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7814, expected_value: E12000008, label: geography} + - {column: D, row: 7814, expected_value: All persons, label: sex} + - {column: E, row: 7814, expected_value: Total, label: employment type} + - {column: J, row: 7814, expected_value: Value, label: measure} + - {column: L, row: 7815, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7816 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7816, expected_value: E12000008, label: geography} + - {column: D, row: 7816, expected_value: All persons, label: sex} + - {column: E, row: 7816, expected_value: Total, label: employment type} + - {column: J, row: 7816, expected_value: Value, label: measure} + - {column: L, row: 7817, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7818 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7818, expected_value: E12000008, label: geography} + - {column: D, row: 7818, expected_value: All persons, label: sex} + - {column: E, row: 7818, expected_value: Total, label: employment type} + - {column: J, row: 7818, expected_value: Value, label: measure} + - {column: L, row: 7819, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7820 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7820, expected_value: E12000008, label: geography} + - {column: D, row: 7820, expected_value: All persons, label: sex} + - {column: E, row: 7820, expected_value: Total, label: employment type} + - {column: J, row: 7820, expected_value: Value, label: measure} + - {column: L, row: 7821, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7822 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7822, expected_value: E12000008, label: geography} + - {column: D, row: 7822, expected_value: All persons, label: sex} + - {column: E, row: 7822, expected_value: Total, label: employment type} + - {column: J, row: 7822, expected_value: Value, label: measure} + - {column: L, row: 7823, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7824 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7824, expected_value: E12000008, label: geography} + - {column: D, row: 7824, expected_value: All persons, label: sex} + - {column: E, row: 7824, expected_value: Total, label: employment type} + - {column: J, row: 7824, expected_value: Value, label: measure} + - {column: L, row: 7825, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7826 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7826, expected_value: E12000008, label: geography} + - {column: D, row: 7826, expected_value: All persons, label: sex} + - {column: E, row: 7826, expected_value: Total, label: employment type} + - {column: J, row: 7826, expected_value: Value, label: measure} + - {column: L, row: 7827, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7828 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7828, expected_value: E12000008, label: geography} + - {column: D, row: 7828, expected_value: All persons, label: sex} + - {column: E, row: 7828, expected_value: Total, label: employment type} + - {column: J, row: 7828, expected_value: Value, label: measure} + - {column: L, row: 7829, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7830 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7830, expected_value: E12000008, label: geography} + - {column: D, row: 7830, expected_value: All persons, label: sex} + - {column: E, row: 7830, expected_value: Total, label: employment type} + - {column: J, row: 7830, expected_value: Value, label: measure} + - {column: L, row: 7831, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7832 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7832, expected_value: E12000008, label: geography} + - {column: D, row: 7832, expected_value: All persons, label: sex} + - {column: E, row: 7832, expected_value: Total, label: employment type} + - {column: J, row: 7832, expected_value: Value, label: measure} + - {column: L, row: 7833, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7834 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7834, expected_value: E12000008, label: geography} + - {column: D, row: 7834, expected_value: All persons, label: sex} + - {column: E, row: 7834, expected_value: Total, label: employment type} + - {column: J, row: 7834, expected_value: Value, label: measure} + - {column: L, row: 7835, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7836 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7836, expected_value: E12000008, label: geography} + - {column: D, row: 7836, expected_value: All persons, label: sex} + - {column: E, row: 7836, expected_value: Total, label: employment type} + - {column: J, row: 7836, expected_value: Value, label: measure} + - {column: L, row: 7837, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7838 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7838, expected_value: E12000008, label: geography} + - {column: D, row: 7838, expected_value: All persons, label: sex} + - {column: E, row: 7838, expected_value: Total, label: employment type} + - {column: J, row: 7838, expected_value: Value, label: measure} + - {column: L, row: 7839, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7840 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7840, expected_value: E12000008, label: geography} + - {column: D, row: 7840, expected_value: All persons, label: sex} + - {column: E, row: 7840, expected_value: Total, label: employment type} + - {column: J, row: 7840, expected_value: Value, label: measure} + - {column: L, row: 7841, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7842 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7842, expected_value: E12000008, label: geography} + - {column: D, row: 7842, expected_value: All persons, label: sex} + - {column: E, row: 7842, expected_value: Total, label: employment type} + - {column: J, row: 7842, expected_value: Value, label: measure} + - {column: L, row: 7843, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7844 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7844, expected_value: E12000008, label: geography} + - {column: D, row: 7844, expected_value: All persons, label: sex} + - {column: E, row: 7844, expected_value: Total, label: employment type} + - {column: J, row: 7844, expected_value: Value, label: measure} + - {column: L, row: 7845, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7846 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7846, expected_value: E12000008, label: geography} + - {column: D, row: 7846, expected_value: All persons, label: sex} + - {column: E, row: 7846, expected_value: Total, label: employment type} + - {column: J, row: 7846, expected_value: Value, label: measure} + - {column: L, row: 7847, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7848 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7848, expected_value: E12000008, label: geography} + - {column: D, row: 7848, expected_value: All persons, label: sex} + - {column: E, row: 7848, expected_value: Total, label: employment type} + - {column: J, row: 7848, expected_value: Value, label: measure} + - {column: L, row: 7849, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7779 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7779, expected_value: E12000008, label: geography} + - {column: D, row: 7779, expected_value: All persons, label: sex} + - {column: E, row: 7779, expected_value: Total, label: employment type} + - {column: J, row: 7779, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7781 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7781, expected_value: E12000008, label: geography} + - {column: D, row: 7781, expected_value: All persons, label: sex} + - {column: E, row: 7781, expected_value: Total, label: employment type} + - {column: J, row: 7781, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7783 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7783, expected_value: E12000008, label: geography} + - {column: D, row: 7783, expected_value: All persons, label: sex} + - {column: E, row: 7783, expected_value: Total, label: employment type} + - {column: J, row: 7783, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7785 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7785, expected_value: E12000008, label: geography} + - {column: D, row: 7785, expected_value: All persons, label: sex} + - {column: E, row: 7785, expected_value: Total, label: employment type} + - {column: J, row: 7785, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7787 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7787, expected_value: E12000008, label: geography} + - {column: D, row: 7787, expected_value: All persons, label: sex} + - {column: E, row: 7787, expected_value: Total, label: employment type} + - {column: J, row: 7787, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7789 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7789, expected_value: E12000008, label: geography} + - {column: D, row: 7789, expected_value: All persons, label: sex} + - {column: E, row: 7789, expected_value: Total, label: employment type} + - {column: J, row: 7789, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7791 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7791, expected_value: E12000008, label: geography} + - {column: D, row: 7791, expected_value: All persons, label: sex} + - {column: E, row: 7791, expected_value: Total, label: employment type} + - {column: J, row: 7791, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7793 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7793, expected_value: E12000008, label: geography} + - {column: D, row: 7793, expected_value: All persons, label: sex} + - {column: E, row: 7793, expected_value: Total, label: employment type} + - {column: J, row: 7793, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7795 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7795, expected_value: E12000008, label: geography} + - {column: D, row: 7795, expected_value: All persons, label: sex} + - {column: E, row: 7795, expected_value: Total, label: employment type} + - {column: J, row: 7795, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7797 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7797, expected_value: E12000008, label: geography} + - {column: D, row: 7797, expected_value: All persons, label: sex} + - {column: E, row: 7797, expected_value: Total, label: employment type} + - {column: J, row: 7797, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7799 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7799, expected_value: E12000008, label: geography} + - {column: D, row: 7799, expected_value: All persons, label: sex} + - {column: E, row: 7799, expected_value: Total, label: employment type} + - {column: J, row: 7799, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7801 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7801, expected_value: E12000008, label: geography} + - {column: D, row: 7801, expected_value: All persons, label: sex} + - {column: E, row: 7801, expected_value: Total, label: employment type} + - {column: J, row: 7801, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7803 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7803, expected_value: E12000008, label: geography} + - {column: D, row: 7803, expected_value: All persons, label: sex} + - {column: E, row: 7803, expected_value: Total, label: employment type} + - {column: J, row: 7803, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7805 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7805, expected_value: E12000008, label: geography} + - {column: D, row: 7805, expected_value: All persons, label: sex} + - {column: E, row: 7805, expected_value: Total, label: employment type} + - {column: J, row: 7805, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7807 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7807, expected_value: E12000008, label: geography} + - {column: D, row: 7807, expected_value: All persons, label: sex} + - {column: E, row: 7807, expected_value: Total, label: employment type} + - {column: J, row: 7807, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7809 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7809, expected_value: E12000008, label: geography} + - {column: D, row: 7809, expected_value: All persons, label: sex} + - {column: E, row: 7809, expected_value: Total, label: employment type} + - {column: J, row: 7809, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7811 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7811, expected_value: E12000008, label: geography} + - {column: D, row: 7811, expected_value: All persons, label: sex} + - {column: E, row: 7811, expected_value: Total, label: employment type} + - {column: J, row: 7811, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7813 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7813, expected_value: E12000008, label: geography} + - {column: D, row: 7813, expected_value: All persons, label: sex} + - {column: E, row: 7813, expected_value: Total, label: employment type} + - {column: J, row: 7813, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7815 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7815, expected_value: E12000008, label: geography} + - {column: D, row: 7815, expected_value: All persons, label: sex} + - {column: E, row: 7815, expected_value: Total, label: employment type} + - {column: J, row: 7815, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7817 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7817, expected_value: E12000008, label: geography} + - {column: D, row: 7817, expected_value: All persons, label: sex} + - {column: E, row: 7817, expected_value: Total, label: employment type} + - {column: J, row: 7817, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7819 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7819, expected_value: E12000008, label: geography} + - {column: D, row: 7819, expected_value: All persons, label: sex} + - {column: E, row: 7819, expected_value: Total, label: employment type} + - {column: J, row: 7819, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7821 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7821, expected_value: E12000008, label: geography} + - {column: D, row: 7821, expected_value: All persons, label: sex} + - {column: E, row: 7821, expected_value: Total, label: employment type} + - {column: J, row: 7821, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7823 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7823, expected_value: E12000008, label: geography} + - {column: D, row: 7823, expected_value: All persons, label: sex} + - {column: E, row: 7823, expected_value: Total, label: employment type} + - {column: J, row: 7823, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7825 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7825, expected_value: E12000008, label: geography} + - {column: D, row: 7825, expected_value: All persons, label: sex} + - {column: E, row: 7825, expected_value: Total, label: employment type} + - {column: J, row: 7825, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7827 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7827, expected_value: E12000008, label: geography} + - {column: D, row: 7827, expected_value: All persons, label: sex} + - {column: E, row: 7827, expected_value: Total, label: employment type} + - {column: J, row: 7827, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7829 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7829, expected_value: E12000008, label: geography} + - {column: D, row: 7829, expected_value: All persons, label: sex} + - {column: E, row: 7829, expected_value: Total, label: employment type} + - {column: J, row: 7829, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7831 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7831, expected_value: E12000008, label: geography} + - {column: D, row: 7831, expected_value: All persons, label: sex} + - {column: E, row: 7831, expected_value: Total, label: employment type} + - {column: J, row: 7831, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7833 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7833, expected_value: E12000008, label: geography} + - {column: D, row: 7833, expected_value: All persons, label: sex} + - {column: E, row: 7833, expected_value: Total, label: employment type} + - {column: J, row: 7833, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7835 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7835, expected_value: E12000008, label: geography} + - {column: D, row: 7835, expected_value: All persons, label: sex} + - {column: E, row: 7835, expected_value: Total, label: employment type} + - {column: J, row: 7835, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7837 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7837, expected_value: E12000008, label: geography} + - {column: D, row: 7837, expected_value: All persons, label: sex} + - {column: E, row: 7837, expected_value: Total, label: employment type} + - {column: J, row: 7837, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7839 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7839, expected_value: E12000008, label: geography} + - {column: D, row: 7839, expected_value: All persons, label: sex} + - {column: E, row: 7839, expected_value: Total, label: employment type} + - {column: J, row: 7839, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7841 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7841, expected_value: E12000008, label: geography} + - {column: D, row: 7841, expected_value: All persons, label: sex} + - {column: E, row: 7841, expected_value: Total, label: employment type} + - {column: J, row: 7841, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7843 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7843, expected_value: E12000008, label: geography} + - {column: D, row: 7843, expected_value: All persons, label: sex} + - {column: E, row: 7843, expected_value: Total, label: employment type} + - {column: J, row: 7843, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7845 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7845, expected_value: E12000008, label: geography} + - {column: D, row: 7845, expected_value: All persons, label: sex} + - {column: E, row: 7845, expected_value: Total, label: employment type} + - {column: J, row: 7845, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7847 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7847, expected_value: E12000008, label: geography} + - {column: D, row: 7847, expected_value: All persons, label: sex} + - {column: E, row: 7847, expected_value: Total, label: employment type} + - {column: J, row: 7847, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7849 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7849, expected_value: E12000008, label: geography} + - {column: D, row: 7849, expected_value: All persons, label: sex} + - {column: E, row: 7849, expected_value: Total, label: employment type} + - {column: J, row: 7849, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7994 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7994, expected_value: E12000008, label: geography} + - {column: D, row: 7994, expected_value: All persons, label: sex} + - {column: E, row: 7994, expected_value: Employee, label: employment type} + - {column: J, row: 7994, expected_value: Value, label: measure} + - {column: L, row: 7995, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7996 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7996, expected_value: E12000008, label: geography} + - {column: D, row: 7996, expected_value: All persons, label: sex} + - {column: E, row: 7996, expected_value: Employee, label: employment type} + - {column: J, row: 7996, expected_value: Value, label: measure} + - {column: L, row: 7997, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7998 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7998, expected_value: E12000008, label: geography} + - {column: D, row: 7998, expected_value: All persons, label: sex} + - {column: E, row: 7998, expected_value: Employee, label: employment type} + - {column: J, row: 7998, expected_value: Value, label: measure} + - {column: L, row: 7999, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8000 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8000, expected_value: E12000008, label: geography} + - {column: D, row: 8000, expected_value: All persons, label: sex} + - {column: E, row: 8000, expected_value: Employee, label: employment type} + - {column: J, row: 8000, expected_value: Value, label: measure} + - {column: L, row: 8001, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8002 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8002, expected_value: E12000008, label: geography} + - {column: D, row: 8002, expected_value: All persons, label: sex} + - {column: E, row: 8002, expected_value: Employee, label: employment type} + - {column: J, row: 8002, expected_value: Value, label: measure} + - {column: L, row: 8003, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8004 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8004, expected_value: E12000008, label: geography} + - {column: D, row: 8004, expected_value: All persons, label: sex} + - {column: E, row: 8004, expected_value: Employee, label: employment type} + - {column: J, row: 8004, expected_value: Value, label: measure} + - {column: L, row: 8005, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8006 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8006, expected_value: E12000008, label: geography} + - {column: D, row: 8006, expected_value: All persons, label: sex} + - {column: E, row: 8006, expected_value: Employee, label: employment type} + - {column: J, row: 8006, expected_value: Value, label: measure} + - {column: L, row: 8007, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8008 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8008, expected_value: E12000008, label: geography} + - {column: D, row: 8008, expected_value: All persons, label: sex} + - {column: E, row: 8008, expected_value: Employee, label: employment type} + - {column: J, row: 8008, expected_value: Value, label: measure} + - {column: L, row: 8009, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8010 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8010, expected_value: E12000008, label: geography} + - {column: D, row: 8010, expected_value: All persons, label: sex} + - {column: E, row: 8010, expected_value: Employee, label: employment type} + - {column: J, row: 8010, expected_value: Value, label: measure} + - {column: L, row: 8011, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8012 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8012, expected_value: E12000008, label: geography} + - {column: D, row: 8012, expected_value: All persons, label: sex} + - {column: E, row: 8012, expected_value: Employee, label: employment type} + - {column: J, row: 8012, expected_value: Value, label: measure} + - {column: L, row: 8013, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8014 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8014, expected_value: E12000008, label: geography} + - {column: D, row: 8014, expected_value: All persons, label: sex} + - {column: E, row: 8014, expected_value: Employee, label: employment type} + - {column: J, row: 8014, expected_value: Value, label: measure} + - {column: L, row: 8015, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8016 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8016, expected_value: E12000008, label: geography} + - {column: D, row: 8016, expected_value: All persons, label: sex} + - {column: E, row: 8016, expected_value: Employee, label: employment type} + - {column: J, row: 8016, expected_value: Value, label: measure} + - {column: L, row: 8017, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8018 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8018, expected_value: E12000008, label: geography} + - {column: D, row: 8018, expected_value: All persons, label: sex} + - {column: E, row: 8018, expected_value: Employee, label: employment type} + - {column: J, row: 8018, expected_value: Value, label: measure} + - {column: L, row: 8019, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8020 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8020, expected_value: E12000008, label: geography} + - {column: D, row: 8020, expected_value: All persons, label: sex} + - {column: E, row: 8020, expected_value: Employee, label: employment type} + - {column: J, row: 8020, expected_value: Value, label: measure} + - {column: L, row: 8021, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8022 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8022, expected_value: E12000008, label: geography} + - {column: D, row: 8022, expected_value: All persons, label: sex} + - {column: E, row: 8022, expected_value: Employee, label: employment type} + - {column: J, row: 8022, expected_value: Value, label: measure} + - {column: L, row: 8023, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8024 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8024, expected_value: E12000008, label: geography} + - {column: D, row: 8024, expected_value: All persons, label: sex} + - {column: E, row: 8024, expected_value: Employee, label: employment type} + - {column: J, row: 8024, expected_value: Value, label: measure} + - {column: L, row: 8025, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8026 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8026, expected_value: E12000008, label: geography} + - {column: D, row: 8026, expected_value: All persons, label: sex} + - {column: E, row: 8026, expected_value: Employee, label: employment type} + - {column: J, row: 8026, expected_value: Value, label: measure} + - {column: L, row: 8027, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8028 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8028, expected_value: E12000008, label: geography} + - {column: D, row: 8028, expected_value: All persons, label: sex} + - {column: E, row: 8028, expected_value: Employee, label: employment type} + - {column: J, row: 8028, expected_value: Value, label: measure} + - {column: L, row: 8029, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8030 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8030, expected_value: E12000008, label: geography} + - {column: D, row: 8030, expected_value: All persons, label: sex} + - {column: E, row: 8030, expected_value: Employee, label: employment type} + - {column: J, row: 8030, expected_value: Value, label: measure} + - {column: L, row: 8031, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8032 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8032, expected_value: E12000008, label: geography} + - {column: D, row: 8032, expected_value: All persons, label: sex} + - {column: E, row: 8032, expected_value: Employee, label: employment type} + - {column: J, row: 8032, expected_value: Value, label: measure} + - {column: L, row: 8033, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8034 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8034, expected_value: E12000008, label: geography} + - {column: D, row: 8034, expected_value: All persons, label: sex} + - {column: E, row: 8034, expected_value: Employee, label: employment type} + - {column: J, row: 8034, expected_value: Value, label: measure} + - {column: L, row: 8035, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8036 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8036, expected_value: E12000008, label: geography} + - {column: D, row: 8036, expected_value: All persons, label: sex} + - {column: E, row: 8036, expected_value: Employee, label: employment type} + - {column: J, row: 8036, expected_value: Value, label: measure} + - {column: L, row: 8037, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8038 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8038, expected_value: E12000008, label: geography} + - {column: D, row: 8038, expected_value: All persons, label: sex} + - {column: E, row: 8038, expected_value: Employee, label: employment type} + - {column: J, row: 8038, expected_value: Value, label: measure} + - {column: L, row: 8039, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8040 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8040, expected_value: E12000008, label: geography} + - {column: D, row: 8040, expected_value: All persons, label: sex} + - {column: E, row: 8040, expected_value: Employee, label: employment type} + - {column: J, row: 8040, expected_value: Value, label: measure} + - {column: L, row: 8041, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8042 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8042, expected_value: E12000008, label: geography} + - {column: D, row: 8042, expected_value: All persons, label: sex} + - {column: E, row: 8042, expected_value: Employee, label: employment type} + - {column: J, row: 8042, expected_value: Value, label: measure} + - {column: L, row: 8043, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8044 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8044, expected_value: E12000008, label: geography} + - {column: D, row: 8044, expected_value: All persons, label: sex} + - {column: E, row: 8044, expected_value: Employee, label: employment type} + - {column: J, row: 8044, expected_value: Value, label: measure} + - {column: L, row: 8045, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8046 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8046, expected_value: E12000008, label: geography} + - {column: D, row: 8046, expected_value: All persons, label: sex} + - {column: E, row: 8046, expected_value: Employee, label: employment type} + - {column: J, row: 8046, expected_value: Value, label: measure} + - {column: L, row: 8047, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8048 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8048, expected_value: E12000008, label: geography} + - {column: D, row: 8048, expected_value: All persons, label: sex} + - {column: E, row: 8048, expected_value: Employee, label: employment type} + - {column: J, row: 8048, expected_value: Value, label: measure} + - {column: L, row: 8049, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8050 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8050, expected_value: E12000008, label: geography} + - {column: D, row: 8050, expected_value: All persons, label: sex} + - {column: E, row: 8050, expected_value: Employee, label: employment type} + - {column: J, row: 8050, expected_value: Value, label: measure} + - {column: L, row: 8051, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8052 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8052, expected_value: E12000008, label: geography} + - {column: D, row: 8052, expected_value: All persons, label: sex} + - {column: E, row: 8052, expected_value: Employee, label: employment type} + - {column: J, row: 8052, expected_value: Value, label: measure} + - {column: L, row: 8053, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8054 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8054, expected_value: E12000008, label: geography} + - {column: D, row: 8054, expected_value: All persons, label: sex} + - {column: E, row: 8054, expected_value: Employee, label: employment type} + - {column: J, row: 8054, expected_value: Value, label: measure} + - {column: L, row: 8055, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8056 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8056, expected_value: E12000008, label: geography} + - {column: D, row: 8056, expected_value: All persons, label: sex} + - {column: E, row: 8056, expected_value: Employee, label: employment type} + - {column: J, row: 8056, expected_value: Value, label: measure} + - {column: L, row: 8057, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8058 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8058, expected_value: E12000008, label: geography} + - {column: D, row: 8058, expected_value: All persons, label: sex} + - {column: E, row: 8058, expected_value: Employee, label: employment type} + - {column: J, row: 8058, expected_value: Value, label: measure} + - {column: L, row: 8059, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8060 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8060, expected_value: E12000008, label: geography} + - {column: D, row: 8060, expected_value: All persons, label: sex} + - {column: E, row: 8060, expected_value: Employee, label: employment type} + - {column: J, row: 8060, expected_value: Value, label: measure} + - {column: L, row: 8061, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8062 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8062, expected_value: E12000008, label: geography} + - {column: D, row: 8062, expected_value: All persons, label: sex} + - {column: E, row: 8062, expected_value: Employee, label: employment type} + - {column: J, row: 8062, expected_value: Value, label: measure} + - {column: L, row: 8063, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8064 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8064, expected_value: E12000008, label: geography} + - {column: D, row: 8064, expected_value: All persons, label: sex} + - {column: E, row: 8064, expected_value: Employee, label: employment type} + - {column: J, row: 8064, expected_value: Value, label: measure} + - {column: L, row: 8065, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7995 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7995, expected_value: E12000008, label: geography} + - {column: D, row: 7995, expected_value: All persons, label: sex} + - {column: E, row: 7995, expected_value: Employee, label: employment type} + - {column: J, row: 7995, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7997 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7997, expected_value: E12000008, label: geography} + - {column: D, row: 7997, expected_value: All persons, label: sex} + - {column: E, row: 7997, expected_value: Employee, label: employment type} + - {column: J, row: 7997, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7999 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7999, expected_value: E12000008, label: geography} + - {column: D, row: 7999, expected_value: All persons, label: sex} + - {column: E, row: 7999, expected_value: Employee, label: employment type} + - {column: J, row: 7999, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8001 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8001, expected_value: E12000008, label: geography} + - {column: D, row: 8001, expected_value: All persons, label: sex} + - {column: E, row: 8001, expected_value: Employee, label: employment type} + - {column: J, row: 8001, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8003 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8003, expected_value: E12000008, label: geography} + - {column: D, row: 8003, expected_value: All persons, label: sex} + - {column: E, row: 8003, expected_value: Employee, label: employment type} + - {column: J, row: 8003, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8005 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8005, expected_value: E12000008, label: geography} + - {column: D, row: 8005, expected_value: All persons, label: sex} + - {column: E, row: 8005, expected_value: Employee, label: employment type} + - {column: J, row: 8005, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8007 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8007, expected_value: E12000008, label: geography} + - {column: D, row: 8007, expected_value: All persons, label: sex} + - {column: E, row: 8007, expected_value: Employee, label: employment type} + - {column: J, row: 8007, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8009 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8009, expected_value: E12000008, label: geography} + - {column: D, row: 8009, expected_value: All persons, label: sex} + - {column: E, row: 8009, expected_value: Employee, label: employment type} + - {column: J, row: 8009, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8011 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8011, expected_value: E12000008, label: geography} + - {column: D, row: 8011, expected_value: All persons, label: sex} + - {column: E, row: 8011, expected_value: Employee, label: employment type} + - {column: J, row: 8011, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8013 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8013, expected_value: E12000008, label: geography} + - {column: D, row: 8013, expected_value: All persons, label: sex} + - {column: E, row: 8013, expected_value: Employee, label: employment type} + - {column: J, row: 8013, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8015 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8015, expected_value: E12000008, label: geography} + - {column: D, row: 8015, expected_value: All persons, label: sex} + - {column: E, row: 8015, expected_value: Employee, label: employment type} + - {column: J, row: 8015, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8017 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8017, expected_value: E12000008, label: geography} + - {column: D, row: 8017, expected_value: All persons, label: sex} + - {column: E, row: 8017, expected_value: Employee, label: employment type} + - {column: J, row: 8017, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8019 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8019, expected_value: E12000008, label: geography} + - {column: D, row: 8019, expected_value: All persons, label: sex} + - {column: E, row: 8019, expected_value: Employee, label: employment type} + - {column: J, row: 8019, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8021 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8021, expected_value: E12000008, label: geography} + - {column: D, row: 8021, expected_value: All persons, label: sex} + - {column: E, row: 8021, expected_value: Employee, label: employment type} + - {column: J, row: 8021, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8023 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8023, expected_value: E12000008, label: geography} + - {column: D, row: 8023, expected_value: All persons, label: sex} + - {column: E, row: 8023, expected_value: Employee, label: employment type} + - {column: J, row: 8023, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8025 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8025, expected_value: E12000008, label: geography} + - {column: D, row: 8025, expected_value: All persons, label: sex} + - {column: E, row: 8025, expected_value: Employee, label: employment type} + - {column: J, row: 8025, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8027 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8027, expected_value: E12000008, label: geography} + - {column: D, row: 8027, expected_value: All persons, label: sex} + - {column: E, row: 8027, expected_value: Employee, label: employment type} + - {column: J, row: 8027, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8029 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8029, expected_value: E12000008, label: geography} + - {column: D, row: 8029, expected_value: All persons, label: sex} + - {column: E, row: 8029, expected_value: Employee, label: employment type} + - {column: J, row: 8029, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8031 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8031, expected_value: E12000008, label: geography} + - {column: D, row: 8031, expected_value: All persons, label: sex} + - {column: E, row: 8031, expected_value: Employee, label: employment type} + - {column: J, row: 8031, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8033 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8033, expected_value: E12000008, label: geography} + - {column: D, row: 8033, expected_value: All persons, label: sex} + - {column: E, row: 8033, expected_value: Employee, label: employment type} + - {column: J, row: 8033, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8035 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8035, expected_value: E12000008, label: geography} + - {column: D, row: 8035, expected_value: All persons, label: sex} + - {column: E, row: 8035, expected_value: Employee, label: employment type} + - {column: J, row: 8035, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8037 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8037, expected_value: E12000008, label: geography} + - {column: D, row: 8037, expected_value: All persons, label: sex} + - {column: E, row: 8037, expected_value: Employee, label: employment type} + - {column: J, row: 8037, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8039 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8039, expected_value: E12000008, label: geography} + - {column: D, row: 8039, expected_value: All persons, label: sex} + - {column: E, row: 8039, expected_value: Employee, label: employment type} + - {column: J, row: 8039, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8041 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8041, expected_value: E12000008, label: geography} + - {column: D, row: 8041, expected_value: All persons, label: sex} + - {column: E, row: 8041, expected_value: Employee, label: employment type} + - {column: J, row: 8041, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8043 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8043, expected_value: E12000008, label: geography} + - {column: D, row: 8043, expected_value: All persons, label: sex} + - {column: E, row: 8043, expected_value: Employee, label: employment type} + - {column: J, row: 8043, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8045 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8045, expected_value: E12000008, label: geography} + - {column: D, row: 8045, expected_value: All persons, label: sex} + - {column: E, row: 8045, expected_value: Employee, label: employment type} + - {column: J, row: 8045, expected_value: Confidence, label: measure} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8047 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8047, expected_value: E12000008, label: geography} + - {column: D, row: 8047, expected_value: All persons, label: sex} + - {column: E, row: 8047, expected_value: Employee, label: employment type} + - {column: J, row: 8047, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8049 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8049, expected_value: E12000008, label: geography} + - {column: D, row: 8049, expected_value: All persons, label: sex} + - {column: E, row: 8049, expected_value: Employee, label: employment type} + - {column: J, row: 8049, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8051 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8051, expected_value: E12000008, label: geography} + - {column: D, row: 8051, expected_value: All persons, label: sex} + - {column: E, row: 8051, expected_value: Employee, label: employment type} + - {column: J, row: 8051, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8053 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8053, expected_value: E12000008, label: geography} + - {column: D, row: 8053, expected_value: All persons, label: sex} + - {column: E, row: 8053, expected_value: Employee, label: employment type} + - {column: J, row: 8053, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8055 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8055, expected_value: E12000008, label: geography} + - {column: D, row: 8055, expected_value: All persons, label: sex} + - {column: E, row: 8055, expected_value: Employee, label: employment type} + - {column: J, row: 8055, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8057 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8057, expected_value: E12000008, label: geography} + - {column: D, row: 8057, expected_value: All persons, label: sex} + - {column: E, row: 8057, expected_value: Employee, label: employment type} + - {column: J, row: 8057, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8059 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8059, expected_value: E12000008, label: geography} + - {column: D, row: 8059, expected_value: All persons, label: sex} + - {column: E, row: 8059, expected_value: Employee, label: employment type} + - {column: J, row: 8059, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8061 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8061, expected_value: E12000008, label: geography} + - {column: D, row: 8061, expected_value: All persons, label: sex} + - {column: E, row: 8061, expected_value: Employee, label: employment type} + - {column: J, row: 8061, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8063 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8063, expected_value: E12000008, label: geography} + - {column: D, row: 8063, expected_value: All persons, label: sex} + - {column: E, row: 8063, expected_value: Employee, label: employment type} + - {column: J, row: 8063, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8065 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8065, expected_value: E12000008, label: geography} + - {column: D, row: 8065, expected_value: All persons, label: sex} + - {column: E, row: 8065, expected_value: Employee, label: employment type} + - {column: J, row: 8065, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8210 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8210, expected_value: E12000008, label: geography} + - {column: D, row: 8210, expected_value: All persons, label: sex} + - {column: E, row: 8210, expected_value: Self-employed, label: employment type} + - {column: J, row: 8210, expected_value: Value, label: measure} + - {column: L, row: 8211, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8212 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8212, expected_value: E12000008, label: geography} + - {column: D, row: 8212, expected_value: All persons, label: sex} + - {column: E, row: 8212, expected_value: Self-employed, label: employment type} + - {column: J, row: 8212, expected_value: Value, label: measure} + - {column: L, row: 8213, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8214 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8214, expected_value: E12000008, label: geography} + - {column: D, row: 8214, expected_value: All persons, label: sex} + - {column: E, row: 8214, expected_value: Self-employed, label: employment type} + - {column: J, row: 8214, expected_value: Value, label: measure} + - {column: L, row: 8215, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8216 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8216, expected_value: E12000008, label: geography} + - {column: D, row: 8216, expected_value: All persons, label: sex} + - {column: E, row: 8216, expected_value: Self-employed, label: employment type} + - {column: J, row: 8216, expected_value: Value, label: measure} + - {column: L, row: 8217, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8218 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8218, expected_value: E12000008, label: geography} + - {column: D, row: 8218, expected_value: All persons, label: sex} + - {column: E, row: 8218, expected_value: Self-employed, label: employment type} + - {column: J, row: 8218, expected_value: Value, label: measure} + - {column: L, row: 8219, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8220 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8220, expected_value: E12000008, label: geography} + - {column: D, row: 8220, expected_value: All persons, label: sex} + - {column: E, row: 8220, expected_value: Self-employed, label: employment type} + - {column: J, row: 8220, expected_value: Value, label: measure} + - {column: L, row: 8221, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8222 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8222, expected_value: E12000008, label: geography} + - {column: D, row: 8222, expected_value: All persons, label: sex} + - {column: E, row: 8222, expected_value: Self-employed, label: employment type} + - {column: J, row: 8222, expected_value: Value, label: measure} + - {column: L, row: 8223, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8224 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8224, expected_value: E12000008, label: geography} + - {column: D, row: 8224, expected_value: All persons, label: sex} + - {column: E, row: 8224, expected_value: Self-employed, label: employment type} + - {column: J, row: 8224, expected_value: Value, label: measure} + - {column: L, row: 8225, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8226 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8226, expected_value: E12000008, label: geography} + - {column: D, row: 8226, expected_value: All persons, label: sex} + - {column: E, row: 8226, expected_value: Self-employed, label: employment type} + - {column: J, row: 8226, expected_value: Value, label: measure} + - {column: L, row: 8227, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8228 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8228, expected_value: E12000008, label: geography} + - {column: D, row: 8228, expected_value: All persons, label: sex} + - {column: E, row: 8228, expected_value: Self-employed, label: employment type} + - {column: J, row: 8228, expected_value: Value, label: measure} + - {column: L, row: 8229, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8230 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8230, expected_value: E12000008, label: geography} + - {column: D, row: 8230, expected_value: All persons, label: sex} + - {column: E, row: 8230, expected_value: Self-employed, label: employment type} + - {column: J, row: 8230, expected_value: Value, label: measure} + - {column: L, row: 8231, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8232 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8232, expected_value: E12000008, label: geography} + - {column: D, row: 8232, expected_value: All persons, label: sex} + - {column: E, row: 8232, expected_value: Self-employed, label: employment type} + - {column: J, row: 8232, expected_value: Value, label: measure} + - {column: L, row: 8233, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8234 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8234, expected_value: E12000008, label: geography} + - {column: D, row: 8234, expected_value: All persons, label: sex} + - {column: E, row: 8234, expected_value: Self-employed, label: employment type} + - {column: J, row: 8234, expected_value: Value, label: measure} + - {column: L, row: 8235, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8236 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8236, expected_value: E12000008, label: geography} + - {column: D, row: 8236, expected_value: All persons, label: sex} + - {column: E, row: 8236, expected_value: Self-employed, label: employment type} + - {column: J, row: 8236, expected_value: Value, label: measure} + - {column: L, row: 8237, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8238 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8238, expected_value: E12000008, label: geography} + - {column: D, row: 8238, expected_value: All persons, label: sex} + - {column: E, row: 8238, expected_value: Self-employed, label: employment type} + - {column: J, row: 8238, expected_value: Value, label: measure} + - {column: L, row: 8239, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8240 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8240, expected_value: E12000008, label: geography} + - {column: D, row: 8240, expected_value: All persons, label: sex} + - {column: E, row: 8240, expected_value: Self-employed, label: employment type} + - {column: J, row: 8240, expected_value: Value, label: measure} + - {column: L, row: 8241, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8242 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8242, expected_value: E12000008, label: geography} + - {column: D, row: 8242, expected_value: All persons, label: sex} + - {column: E, row: 8242, expected_value: Self-employed, label: employment type} + - {column: J, row: 8242, expected_value: Value, label: measure} + - {column: L, row: 8243, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8244 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8244, expected_value: E12000008, label: geography} + - {column: D, row: 8244, expected_value: All persons, label: sex} + - {column: E, row: 8244, expected_value: Self-employed, label: employment type} + - {column: J, row: 8244, expected_value: Value, label: measure} + - {column: L, row: 8245, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8246 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8246, expected_value: E12000008, label: geography} + - {column: D, row: 8246, expected_value: All persons, label: sex} + - {column: E, row: 8246, expected_value: Self-employed, label: employment type} + - {column: J, row: 8246, expected_value: Value, label: measure} + - {column: L, row: 8247, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8248 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8248, expected_value: E12000008, label: geography} + - {column: D, row: 8248, expected_value: All persons, label: sex} + - {column: E, row: 8248, expected_value: Self-employed, label: employment type} + - {column: J, row: 8248, expected_value: Value, label: measure} + - {column: L, row: 8249, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8250 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8250, expected_value: E12000008, label: geography} + - {column: D, row: 8250, expected_value: All persons, label: sex} + - {column: E, row: 8250, expected_value: Self-employed, label: employment type} + - {column: J, row: 8250, expected_value: Value, label: measure} + - {column: L, row: 8251, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8252 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8252, expected_value: E12000008, label: geography} + - {column: D, row: 8252, expected_value: All persons, label: sex} + - {column: E, row: 8252, expected_value: Self-employed, label: employment type} + - {column: J, row: 8252, expected_value: Value, label: measure} + - {column: L, row: 8253, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8254 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8254, expected_value: E12000008, label: geography} + - {column: D, row: 8254, expected_value: All persons, label: sex} + - {column: E, row: 8254, expected_value: Self-employed, label: employment type} + - {column: J, row: 8254, expected_value: Value, label: measure} + - {column: L, row: 8255, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8256 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8256, expected_value: E12000008, label: geography} + - {column: D, row: 8256, expected_value: All persons, label: sex} + - {column: E, row: 8256, expected_value: Self-employed, label: employment type} + - {column: J, row: 8256, expected_value: Value, label: measure} + - {column: L, row: 8257, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8258 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8258, expected_value: E12000008, label: geography} + - {column: D, row: 8258, expected_value: All persons, label: sex} + - {column: E, row: 8258, expected_value: Self-employed, label: employment type} + - {column: J, row: 8258, expected_value: Value, label: measure} + - {column: L, row: 8259, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8260 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8260, expected_value: E12000008, label: geography} + - {column: D, row: 8260, expected_value: All persons, label: sex} + - {column: E, row: 8260, expected_value: Self-employed, label: employment type} + - {column: J, row: 8260, expected_value: Value, label: measure} + - {column: L, row: 8261, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8264 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8264, expected_value: E12000008, label: geography} + - {column: D, row: 8264, expected_value: All persons, label: sex} + - {column: E, row: 8264, expected_value: Self-employed, label: employment type} + - {column: J, row: 8264, expected_value: Value, label: measure} + - {column: L, row: 8265, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8266 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8266, expected_value: E12000008, label: geography} + - {column: D, row: 8266, expected_value: All persons, label: sex} + - {column: E, row: 8266, expected_value: Self-employed, label: employment type} + - {column: J, row: 8266, expected_value: Value, label: measure} + - {column: L, row: 8267, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8270 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8270, expected_value: E12000008, label: geography} + - {column: D, row: 8270, expected_value: All persons, label: sex} + - {column: E, row: 8270, expected_value: Self-employed, label: employment type} + - {column: J, row: 8270, expected_value: Value, label: measure} + - {column: L, row: 8271, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8272 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8272, expected_value: E12000008, label: geography} + - {column: D, row: 8272, expected_value: All persons, label: sex} + - {column: E, row: 8272, expected_value: Self-employed, label: employment type} + - {column: J, row: 8272, expected_value: Value, label: measure} + - {column: L, row: 8273, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8274 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8274, expected_value: E12000008, label: geography} + - {column: D, row: 8274, expected_value: All persons, label: sex} + - {column: E, row: 8274, expected_value: Self-employed, label: employment type} + - {column: J, row: 8274, expected_value: Value, label: measure} + - {column: L, row: 8275, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8276 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8276, expected_value: E12000008, label: geography} + - {column: D, row: 8276, expected_value: All persons, label: sex} + - {column: E, row: 8276, expected_value: Self-employed, label: employment type} + - {column: J, row: 8276, expected_value: Value, label: measure} + - {column: L, row: 8277, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8278 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8278, expected_value: E12000008, label: geography} + - {column: D, row: 8278, expected_value: All persons, label: sex} + - {column: E, row: 8278, expected_value: Self-employed, label: employment type} + - {column: J, row: 8278, expected_value: Value, label: measure} + - {column: L, row: 8279, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8280 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8280, expected_value: E12000008, label: geography} + - {column: D, row: 8280, expected_value: All persons, label: sex} + - {column: E, row: 8280, expected_value: Self-employed, label: employment type} + - {column: J, row: 8280, expected_value: Value, label: measure} + - {column: L, row: 8281, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8211 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8211, expected_value: E12000008, label: geography} + - {column: D, row: 8211, expected_value: All persons, label: sex} + - {column: E, row: 8211, expected_value: Self-employed, label: employment type} + - {column: J, row: 8211, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8213 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8213, expected_value: E12000008, label: geography} + - {column: D, row: 8213, expected_value: All persons, label: sex} + - {column: E, row: 8213, expected_value: Self-employed, label: employment type} + - {column: J, row: 8213, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8215 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8215, expected_value: E12000008, label: geography} + - {column: D, row: 8215, expected_value: All persons, label: sex} + - {column: E, row: 8215, expected_value: Self-employed, label: employment type} + - {column: J, row: 8215, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8217 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8217, expected_value: E12000008, label: geography} + - {column: D, row: 8217, expected_value: All persons, label: sex} + - {column: E, row: 8217, expected_value: Self-employed, label: employment type} + - {column: J, row: 8217, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8219 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8219, expected_value: E12000008, label: geography} + - {column: D, row: 8219, expected_value: All persons, label: sex} + - {column: E, row: 8219, expected_value: Self-employed, label: employment type} + - {column: J, row: 8219, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8221 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8221, expected_value: E12000008, label: geography} + - {column: D, row: 8221, expected_value: All persons, label: sex} + - {column: E, row: 8221, expected_value: Self-employed, label: employment type} + - {column: J, row: 8221, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8223 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8223, expected_value: E12000008, label: geography} + - {column: D, row: 8223, expected_value: All persons, label: sex} + - {column: E, row: 8223, expected_value: Self-employed, label: employment type} + - {column: J, row: 8223, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8225 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8225, expected_value: E12000008, label: geography} + - {column: D, row: 8225, expected_value: All persons, label: sex} + - {column: E, row: 8225, expected_value: Self-employed, label: employment type} + - {column: J, row: 8225, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8227 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8227, expected_value: E12000008, label: geography} + - {column: D, row: 8227, expected_value: All persons, label: sex} + - {column: E, row: 8227, expected_value: Self-employed, label: employment type} + - {column: J, row: 8227, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8229 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8229, expected_value: E12000008, label: geography} + - {column: D, row: 8229, expected_value: All persons, label: sex} + - {column: E, row: 8229, expected_value: Self-employed, label: employment type} + - {column: J, row: 8229, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8233 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8233, expected_value: E12000008, label: geography} + - {column: D, row: 8233, expected_value: All persons, label: sex} + - {column: E, row: 8233, expected_value: Self-employed, label: employment type} + - {column: J, row: 8233, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8237 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8237, expected_value: E12000008, label: geography} + - {column: D, row: 8237, expected_value: All persons, label: sex} + - {column: E, row: 8237, expected_value: Self-employed, label: employment type} + - {column: J, row: 8237, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8239 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8239, expected_value: E12000008, label: geography} + - {column: D, row: 8239, expected_value: All persons, label: sex} + - {column: E, row: 8239, expected_value: Self-employed, label: employment type} + - {column: J, row: 8239, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8241 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8241, expected_value: E12000008, label: geography} + - {column: D, row: 8241, expected_value: All persons, label: sex} + - {column: E, row: 8241, expected_value: Self-employed, label: employment type} + - {column: J, row: 8241, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8243 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8243, expected_value: E12000008, label: geography} + - {column: D, row: 8243, expected_value: All persons, label: sex} + - {column: E, row: 8243, expected_value: Self-employed, label: employment type} + - {column: J, row: 8243, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8245 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8245, expected_value: E12000008, label: geography} + - {column: D, row: 8245, expected_value: All persons, label: sex} + - {column: E, row: 8245, expected_value: Self-employed, label: employment type} + - {column: J, row: 8245, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8247 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8247, expected_value: E12000008, label: geography} + - {column: D, row: 8247, expected_value: All persons, label: sex} + - {column: E, row: 8247, expected_value: Self-employed, label: employment type} + - {column: J, row: 8247, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8249 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8249, expected_value: E12000008, label: geography} + - {column: D, row: 8249, expected_value: All persons, label: sex} + - {column: E, row: 8249, expected_value: Self-employed, label: employment type} + - {column: J, row: 8249, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8251 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8251, expected_value: E12000008, label: geography} + - {column: D, row: 8251, expected_value: All persons, label: sex} + - {column: E, row: 8251, expected_value: Self-employed, label: employment type} + - {column: J, row: 8251, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8253 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8253, expected_value: E12000008, label: geography} + - {column: D, row: 8253, expected_value: All persons, label: sex} + - {column: E, row: 8253, expected_value: Self-employed, label: employment type} + - {column: J, row: 8253, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8255 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8255, expected_value: E12000008, label: geography} + - {column: D, row: 8255, expected_value: All persons, label: sex} + - {column: E, row: 8255, expected_value: Self-employed, label: employment type} + - {column: J, row: 8255, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8257 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8257, expected_value: E12000008, label: geography} + - {column: D, row: 8257, expected_value: All persons, label: sex} + - {column: E, row: 8257, expected_value: Self-employed, label: employment type} + - {column: J, row: 8257, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8259 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8259, expected_value: E12000008, label: geography} + - {column: D, row: 8259, expected_value: All persons, label: sex} + - {column: E, row: 8259, expected_value: Self-employed, label: employment type} + - {column: J, row: 8259, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8261 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8261, expected_value: E12000008, label: geography} + - {column: D, row: 8261, expected_value: All persons, label: sex} + - {column: E, row: 8261, expected_value: Self-employed, label: employment type} + - {column: J, row: 8261, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8265 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8265, expected_value: E12000008, label: geography} + - {column: D, row: 8265, expected_value: All persons, label: sex} + - {column: E, row: 8265, expected_value: Self-employed, label: employment type} + - {column: J, row: 8265, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8267 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8267, expected_value: E12000008, label: geography} + - {column: D, row: 8267, expected_value: All persons, label: sex} + - {column: E, row: 8267, expected_value: Self-employed, label: employment type} + - {column: J, row: 8267, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8271 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8271, expected_value: E12000008, label: geography} + - {column: D, row: 8271, expected_value: All persons, label: sex} + - {column: E, row: 8271, expected_value: Self-employed, label: employment type} + - {column: J, row: 8271, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8273 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8273, expected_value: E12000008, label: geography} + - {column: D, row: 8273, expected_value: All persons, label: sex} + - {column: E, row: 8273, expected_value: Self-employed, label: employment type} + - {column: J, row: 8273, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8275 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8275, expected_value: E12000008, label: geography} + - {column: D, row: 8275, expected_value: All persons, label: sex} + - {column: E, row: 8275, expected_value: Self-employed, label: employment type} + - {column: J, row: 8275, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8277 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8277, expected_value: E12000008, label: geography} + - {column: D, row: 8277, expected_value: All persons, label: sex} + - {column: E, row: 8277, expected_value: Self-employed, label: employment type} + - {column: J, row: 8277, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8279 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8279, expected_value: E12000008, label: geography} + - {column: D, row: 8279, expected_value: All persons, label: sex} + - {column: E, row: 8279, expected_value: Self-employed, label: employment type} + - {column: J, row: 8279, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8281 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8281, expected_value: E12000008, label: geography} + - {column: D, row: 8281, expected_value: All persons, label: sex} + - {column: E, row: 8281, expected_value: Self-employed, label: employment type} + - {column: J, row: 8281, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7850 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7850, expected_value: E12000008, label: geography} + - {column: D, row: 7850, expected_value: Males, label: sex} + - {column: E, row: 7850, expected_value: Total, label: employment type} + - {column: J, row: 7850, expected_value: Value, label: measure} + - {column: L, row: 7851, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7852 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7852, expected_value: E12000008, label: geography} + - {column: D, row: 7852, expected_value: Males, label: sex} + - {column: E, row: 7852, expected_value: Total, label: employment type} + - {column: J, row: 7852, expected_value: Value, label: measure} + - {column: L, row: 7853, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7854 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7854, expected_value: E12000008, label: geography} + - {column: D, row: 7854, expected_value: Males, label: sex} + - {column: E, row: 7854, expected_value: Total, label: employment type} + - {column: J, row: 7854, expected_value: Value, label: measure} + - {column: L, row: 7855, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7856 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7856, expected_value: E12000008, label: geography} + - {column: D, row: 7856, expected_value: Males, label: sex} + - {column: E, row: 7856, expected_value: Total, label: employment type} + - {column: J, row: 7856, expected_value: Value, label: measure} + - {column: L, row: 7857, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7858 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7858, expected_value: E12000008, label: geography} + - {column: D, row: 7858, expected_value: Males, label: sex} + - {column: E, row: 7858, expected_value: Total, label: employment type} + - {column: J, row: 7858, expected_value: Value, label: measure} + - {column: L, row: 7859, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7860 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7860, expected_value: E12000008, label: geography} + - {column: D, row: 7860, expected_value: Males, label: sex} + - {column: E, row: 7860, expected_value: Total, label: employment type} + - {column: J, row: 7860, expected_value: Value, label: measure} + - {column: L, row: 7861, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7862 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7862, expected_value: E12000008, label: geography} + - {column: D, row: 7862, expected_value: Males, label: sex} + - {column: E, row: 7862, expected_value: Total, label: employment type} + - {column: J, row: 7862, expected_value: Value, label: measure} + - {column: L, row: 7863, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7864 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7864, expected_value: E12000008, label: geography} + - {column: D, row: 7864, expected_value: Males, label: sex} + - {column: E, row: 7864, expected_value: Total, label: employment type} + - {column: J, row: 7864, expected_value: Value, label: measure} + - {column: L, row: 7865, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7866 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7866, expected_value: E12000008, label: geography} + - {column: D, row: 7866, expected_value: Males, label: sex} + - {column: E, row: 7866, expected_value: Total, label: employment type} + - {column: J, row: 7866, expected_value: Value, label: measure} + - {column: L, row: 7867, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7868 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7868, expected_value: E12000008, label: geography} + - {column: D, row: 7868, expected_value: Males, label: sex} + - {column: E, row: 7868, expected_value: Total, label: employment type} + - {column: J, row: 7868, expected_value: Value, label: measure} + - {column: L, row: 7869, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7870 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7870, expected_value: E12000008, label: geography} + - {column: D, row: 7870, expected_value: Males, label: sex} + - {column: E, row: 7870, expected_value: Total, label: employment type} + - {column: J, row: 7870, expected_value: Value, label: measure} + - {column: L, row: 7871, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7872 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7872, expected_value: E12000008, label: geography} + - {column: D, row: 7872, expected_value: Males, label: sex} + - {column: E, row: 7872, expected_value: Total, label: employment type} + - {column: J, row: 7872, expected_value: Value, label: measure} + - {column: L, row: 7873, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7874 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7874, expected_value: E12000008, label: geography} + - {column: D, row: 7874, expected_value: Males, label: sex} + - {column: E, row: 7874, expected_value: Total, label: employment type} + - {column: J, row: 7874, expected_value: Value, label: measure} + - {column: L, row: 7875, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7876 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7876, expected_value: E12000008, label: geography} + - {column: D, row: 7876, expected_value: Males, label: sex} + - {column: E, row: 7876, expected_value: Total, label: employment type} + - {column: J, row: 7876, expected_value: Value, label: measure} + - {column: L, row: 7877, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7878 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7878, expected_value: E12000008, label: geography} + - {column: D, row: 7878, expected_value: Males, label: sex} + - {column: E, row: 7878, expected_value: Total, label: employment type} + - {column: J, row: 7878, expected_value: Value, label: measure} + - {column: L, row: 7879, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7880 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7880, expected_value: E12000008, label: geography} + - {column: D, row: 7880, expected_value: Males, label: sex} + - {column: E, row: 7880, expected_value: Total, label: employment type} + - {column: J, row: 7880, expected_value: Value, label: measure} + - {column: L, row: 7881, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7882 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7882, expected_value: E12000008, label: geography} + - {column: D, row: 7882, expected_value: Males, label: sex} + - {column: E, row: 7882, expected_value: Total, label: employment type} + - {column: J, row: 7882, expected_value: Value, label: measure} + - {column: L, row: 7883, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7884 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7884, expected_value: E12000008, label: geography} + - {column: D, row: 7884, expected_value: Males, label: sex} + - {column: E, row: 7884, expected_value: Total, label: employment type} + - {column: J, row: 7884, expected_value: Value, label: measure} + - {column: L, row: 7885, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7886 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7886, expected_value: E12000008, label: geography} + - {column: D, row: 7886, expected_value: Males, label: sex} + - {column: E, row: 7886, expected_value: Total, label: employment type} + - {column: J, row: 7886, expected_value: Value, label: measure} + - {column: L, row: 7887, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7888 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7888, expected_value: E12000008, label: geography} + - {column: D, row: 7888, expected_value: Males, label: sex} + - {column: E, row: 7888, expected_value: Total, label: employment type} + - {column: J, row: 7888, expected_value: Value, label: measure} + - {column: L, row: 7889, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7890 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7890, expected_value: E12000008, label: geography} + - {column: D, row: 7890, expected_value: Males, label: sex} + - {column: E, row: 7890, expected_value: Total, label: employment type} + - {column: J, row: 7890, expected_value: Value, label: measure} + - {column: L, row: 7891, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7892 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7892, expected_value: E12000008, label: geography} + - {column: D, row: 7892, expected_value: Males, label: sex} + - {column: E, row: 7892, expected_value: Total, label: employment type} + - {column: J, row: 7892, expected_value: Value, label: measure} + - {column: L, row: 7893, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7894 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7894, expected_value: E12000008, label: geography} + - {column: D, row: 7894, expected_value: Males, label: sex} + - {column: E, row: 7894, expected_value: Total, label: employment type} + - {column: J, row: 7894, expected_value: Value, label: measure} + - {column: L, row: 7895, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7896 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7896, expected_value: E12000008, label: geography} + - {column: D, row: 7896, expected_value: Males, label: sex} + - {column: E, row: 7896, expected_value: Total, label: employment type} + - {column: J, row: 7896, expected_value: Value, label: measure} + - {column: L, row: 7897, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7898 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7898, expected_value: E12000008, label: geography} + - {column: D, row: 7898, expected_value: Males, label: sex} + - {column: E, row: 7898, expected_value: Total, label: employment type} + - {column: J, row: 7898, expected_value: Value, label: measure} + - {column: L, row: 7899, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7900 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7900, expected_value: E12000008, label: geography} + - {column: D, row: 7900, expected_value: Males, label: sex} + - {column: E, row: 7900, expected_value: Total, label: employment type} + - {column: J, row: 7900, expected_value: Value, label: measure} + - {column: L, row: 7901, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7902 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7902, expected_value: E12000008, label: geography} + - {column: D, row: 7902, expected_value: Males, label: sex} + - {column: E, row: 7902, expected_value: Total, label: employment type} + - {column: J, row: 7902, expected_value: Value, label: measure} + - {column: L, row: 7903, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7904 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7904, expected_value: E12000008, label: geography} + - {column: D, row: 7904, expected_value: Males, label: sex} + - {column: E, row: 7904, expected_value: Total, label: employment type} + - {column: J, row: 7904, expected_value: Value, label: measure} + - {column: L, row: 7905, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7906 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7906, expected_value: E12000008, label: geography} + - {column: D, row: 7906, expected_value: Males, label: sex} + - {column: E, row: 7906, expected_value: Total, label: employment type} + - {column: J, row: 7906, expected_value: Value, label: measure} + - {column: L, row: 7907, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7908 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7908, expected_value: E12000008, label: geography} + - {column: D, row: 7908, expected_value: Males, label: sex} + - {column: E, row: 7908, expected_value: Total, label: employment type} + - {column: J, row: 7908, expected_value: Value, label: measure} + - {column: L, row: 7909, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7910 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7910, expected_value: E12000008, label: geography} + - {column: D, row: 7910, expected_value: Males, label: sex} + - {column: E, row: 7910, expected_value: Total, label: employment type} + - {column: J, row: 7910, expected_value: Value, label: measure} + - {column: L, row: 7911, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7912 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7912, expected_value: E12000008, label: geography} + - {column: D, row: 7912, expected_value: Males, label: sex} + - {column: E, row: 7912, expected_value: Total, label: employment type} + - {column: J, row: 7912, expected_value: Value, label: measure} + - {column: L, row: 7913, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7914 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7914, expected_value: E12000008, label: geography} + - {column: D, row: 7914, expected_value: Males, label: sex} + - {column: E, row: 7914, expected_value: Total, label: employment type} + - {column: J, row: 7914, expected_value: Value, label: measure} + - {column: L, row: 7915, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7916 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7916, expected_value: E12000008, label: geography} + - {column: D, row: 7916, expected_value: Males, label: sex} + - {column: E, row: 7916, expected_value: Total, label: employment type} + - {column: J, row: 7916, expected_value: Value, label: measure} + - {column: L, row: 7917, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7918 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7918, expected_value: E12000008, label: geography} + - {column: D, row: 7918, expected_value: Males, label: sex} + - {column: E, row: 7918, expected_value: Total, label: employment type} + - {column: J, row: 7918, expected_value: Value, label: measure} + - {column: L, row: 7919, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7920 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7920, expected_value: E12000008, label: geography} + - {column: D, row: 7920, expected_value: Males, label: sex} + - {column: E, row: 7920, expected_value: Total, label: employment type} + - {column: J, row: 7920, expected_value: Value, label: measure} + - {column: L, row: 7921, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7851 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7851, expected_value: E12000008, label: geography} + - {column: D, row: 7851, expected_value: Males, label: sex} + - {column: E, row: 7851, expected_value: Total, label: employment type} + - {column: J, row: 7851, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7853 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7853, expected_value: E12000008, label: geography} + - {column: D, row: 7853, expected_value: Males, label: sex} + - {column: E, row: 7853, expected_value: Total, label: employment type} + - {column: J, row: 7853, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7855 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7855, expected_value: E12000008, label: geography} + - {column: D, row: 7855, expected_value: Males, label: sex} + - {column: E, row: 7855, expected_value: Total, label: employment type} + - {column: J, row: 7855, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7857 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7857, expected_value: E12000008, label: geography} + - {column: D, row: 7857, expected_value: Males, label: sex} + - {column: E, row: 7857, expected_value: Total, label: employment type} + - {column: J, row: 7857, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7859 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7859, expected_value: E12000008, label: geography} + - {column: D, row: 7859, expected_value: Males, label: sex} + - {column: E, row: 7859, expected_value: Total, label: employment type} + - {column: J, row: 7859, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7861 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7861, expected_value: E12000008, label: geography} + - {column: D, row: 7861, expected_value: Males, label: sex} + - {column: E, row: 7861, expected_value: Total, label: employment type} + - {column: J, row: 7861, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7863 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7863, expected_value: E12000008, label: geography} + - {column: D, row: 7863, expected_value: Males, label: sex} + - {column: E, row: 7863, expected_value: Total, label: employment type} + - {column: J, row: 7863, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7865 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7865, expected_value: E12000008, label: geography} + - {column: D, row: 7865, expected_value: Males, label: sex} + - {column: E, row: 7865, expected_value: Total, label: employment type} + - {column: J, row: 7865, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7867 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7867, expected_value: E12000008, label: geography} + - {column: D, row: 7867, expected_value: Males, label: sex} + - {column: E, row: 7867, expected_value: Total, label: employment type} + - {column: J, row: 7867, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7869 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7869, expected_value: E12000008, label: geography} + - {column: D, row: 7869, expected_value: Males, label: sex} + - {column: E, row: 7869, expected_value: Total, label: employment type} + - {column: J, row: 7869, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7871 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7871, expected_value: E12000008, label: geography} + - {column: D, row: 7871, expected_value: Males, label: sex} + - {column: E, row: 7871, expected_value: Total, label: employment type} + - {column: J, row: 7871, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7873 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7873, expected_value: E12000008, label: geography} + - {column: D, row: 7873, expected_value: Males, label: sex} + - {column: E, row: 7873, expected_value: Total, label: employment type} + - {column: J, row: 7873, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7875 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7875, expected_value: E12000008, label: geography} + - {column: D, row: 7875, expected_value: Males, label: sex} + - {column: E, row: 7875, expected_value: Total, label: employment type} + - {column: J, row: 7875, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7877 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7877, expected_value: E12000008, label: geography} + - {column: D, row: 7877, expected_value: Males, label: sex} + - {column: E, row: 7877, expected_value: Total, label: employment type} + - {column: J, row: 7877, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7879 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7879, expected_value: E12000008, label: geography} + - {column: D, row: 7879, expected_value: Males, label: sex} + - {column: E, row: 7879, expected_value: Total, label: employment type} + - {column: J, row: 7879, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7881 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7881, expected_value: E12000008, label: geography} + - {column: D, row: 7881, expected_value: Males, label: sex} + - {column: E, row: 7881, expected_value: Total, label: employment type} + - {column: J, row: 7881, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7883 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7883, expected_value: E12000008, label: geography} + - {column: D, row: 7883, expected_value: Males, label: sex} + - {column: E, row: 7883, expected_value: Total, label: employment type} + - {column: J, row: 7883, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7887 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7887, expected_value: E12000008, label: geography} + - {column: D, row: 7887, expected_value: Males, label: sex} + - {column: E, row: 7887, expected_value: Total, label: employment type} + - {column: J, row: 7887, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7889 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7889, expected_value: E12000008, label: geography} + - {column: D, row: 7889, expected_value: Males, label: sex} + - {column: E, row: 7889, expected_value: Total, label: employment type} + - {column: J, row: 7889, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7891 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7891, expected_value: E12000008, label: geography} + - {column: D, row: 7891, expected_value: Males, label: sex} + - {column: E, row: 7891, expected_value: Total, label: employment type} + - {column: J, row: 7891, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7893 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7893, expected_value: E12000008, label: geography} + - {column: D, row: 7893, expected_value: Males, label: sex} + - {column: E, row: 7893, expected_value: Total, label: employment type} + - {column: J, row: 7893, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7895 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7895, expected_value: E12000008, label: geography} + - {column: D, row: 7895, expected_value: Males, label: sex} + - {column: E, row: 7895, expected_value: Total, label: employment type} + - {column: J, row: 7895, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7897 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7897, expected_value: E12000008, label: geography} + - {column: D, row: 7897, expected_value: Males, label: sex} + - {column: E, row: 7897, expected_value: Total, label: employment type} + - {column: J, row: 7897, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7899 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7899, expected_value: E12000008, label: geography} + - {column: D, row: 7899, expected_value: Males, label: sex} + - {column: E, row: 7899, expected_value: Total, label: employment type} + - {column: J, row: 7899, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7901 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7901, expected_value: E12000008, label: geography} + - {column: D, row: 7901, expected_value: Males, label: sex} + - {column: E, row: 7901, expected_value: Total, label: employment type} + - {column: J, row: 7901, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7905 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7905, expected_value: E12000008, label: geography} + - {column: D, row: 7905, expected_value: Males, label: sex} + - {column: E, row: 7905, expected_value: Total, label: employment type} + - {column: J, row: 7905, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7907 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7907, expected_value: E12000008, label: geography} + - {column: D, row: 7907, expected_value: Males, label: sex} + - {column: E, row: 7907, expected_value: Total, label: employment type} + - {column: J, row: 7907, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7909 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7909, expected_value: E12000008, label: geography} + - {column: D, row: 7909, expected_value: Males, label: sex} + - {column: E, row: 7909, expected_value: Total, label: employment type} + - {column: J, row: 7909, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7911 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7911, expected_value: E12000008, label: geography} + - {column: D, row: 7911, expected_value: Males, label: sex} + - {column: E, row: 7911, expected_value: Total, label: employment type} + - {column: J, row: 7911, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7913 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7913, expected_value: E12000008, label: geography} + - {column: D, row: 7913, expected_value: Males, label: sex} + - {column: E, row: 7913, expected_value: Total, label: employment type} + - {column: J, row: 7913, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7915 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7915, expected_value: E12000008, label: geography} + - {column: D, row: 7915, expected_value: Males, label: sex} + - {column: E, row: 7915, expected_value: Total, label: employment type} + - {column: J, row: 7915, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7917 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7917, expected_value: E12000008, label: geography} + - {column: D, row: 7917, expected_value: Males, label: sex} + - {column: E, row: 7917, expected_value: Total, label: employment type} + - {column: J, row: 7917, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7919 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7919, expected_value: E12000008, label: geography} + - {column: D, row: 7919, expected_value: Males, label: sex} + - {column: E, row: 7919, expected_value: Total, label: employment type} + - {column: J, row: 7919, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7921 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7921, expected_value: E12000008, label: geography} + - {column: D, row: 7921, expected_value: Males, label: sex} + - {column: E, row: 7921, expected_value: Total, label: employment type} + - {column: J, row: 7921, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8066 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8066, expected_value: E12000008, label: geography} + - {column: D, row: 8066, expected_value: Males, label: sex} + - {column: E, row: 8066, expected_value: Employee, label: employment type} + - {column: J, row: 8066, expected_value: Value, label: measure} + - {column: L, row: 8067, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8068 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8068, expected_value: E12000008, label: geography} + - {column: D, row: 8068, expected_value: Males, label: sex} + - {column: E, row: 8068, expected_value: Employee, label: employment type} + - {column: J, row: 8068, expected_value: Value, label: measure} + - {column: L, row: 8069, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8070 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8070, expected_value: E12000008, label: geography} + - {column: D, row: 8070, expected_value: Males, label: sex} + - {column: E, row: 8070, expected_value: Employee, label: employment type} + - {column: J, row: 8070, expected_value: Value, label: measure} + - {column: L, row: 8071, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8072 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8072, expected_value: E12000008, label: geography} + - {column: D, row: 8072, expected_value: Males, label: sex} + - {column: E, row: 8072, expected_value: Employee, label: employment type} + - {column: J, row: 8072, expected_value: Value, label: measure} + - {column: L, row: 8073, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8074 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8074, expected_value: E12000008, label: geography} + - {column: D, row: 8074, expected_value: Males, label: sex} + - {column: E, row: 8074, expected_value: Employee, label: employment type} + - {column: J, row: 8074, expected_value: Value, label: measure} + - {column: L, row: 8075, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8076 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8076, expected_value: E12000008, label: geography} + - {column: D, row: 8076, expected_value: Males, label: sex} + - {column: E, row: 8076, expected_value: Employee, label: employment type} + - {column: J, row: 8076, expected_value: Value, label: measure} + - {column: L, row: 8077, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8078 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8078, expected_value: E12000008, label: geography} + - {column: D, row: 8078, expected_value: Males, label: sex} + - {column: E, row: 8078, expected_value: Employee, label: employment type} + - {column: J, row: 8078, expected_value: Value, label: measure} + - {column: L, row: 8079, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8080 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8080, expected_value: E12000008, label: geography} + - {column: D, row: 8080, expected_value: Males, label: sex} + - {column: E, row: 8080, expected_value: Employee, label: employment type} + - {column: J, row: 8080, expected_value: Value, label: measure} + - {column: L, row: 8081, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8082 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8082, expected_value: E12000008, label: geography} + - {column: D, row: 8082, expected_value: Males, label: sex} + - {column: E, row: 8082, expected_value: Employee, label: employment type} + - {column: J, row: 8082, expected_value: Value, label: measure} + - {column: L, row: 8083, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8084 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8084, expected_value: E12000008, label: geography} + - {column: D, row: 8084, expected_value: Males, label: sex} + - {column: E, row: 8084, expected_value: Employee, label: employment type} + - {column: J, row: 8084, expected_value: Value, label: measure} + - {column: L, row: 8085, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8086 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8086, expected_value: E12000008, label: geography} + - {column: D, row: 8086, expected_value: Males, label: sex} + - {column: E, row: 8086, expected_value: Employee, label: employment type} + - {column: J, row: 8086, expected_value: Value, label: measure} + - {column: L, row: 8087, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8088 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8088, expected_value: E12000008, label: geography} + - {column: D, row: 8088, expected_value: Males, label: sex} + - {column: E, row: 8088, expected_value: Employee, label: employment type} + - {column: J, row: 8088, expected_value: Value, label: measure} + - {column: L, row: 8089, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8090 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8090, expected_value: E12000008, label: geography} + - {column: D, row: 8090, expected_value: Males, label: sex} + - {column: E, row: 8090, expected_value: Employee, label: employment type} + - {column: J, row: 8090, expected_value: Value, label: measure} + - {column: L, row: 8091, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8092 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8092, expected_value: E12000008, label: geography} + - {column: D, row: 8092, expected_value: Males, label: sex} + - {column: E, row: 8092, expected_value: Employee, label: employment type} + - {column: J, row: 8092, expected_value: Value, label: measure} + - {column: L, row: 8093, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8094 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8094, expected_value: E12000008, label: geography} + - {column: D, row: 8094, expected_value: Males, label: sex} + - {column: E, row: 8094, expected_value: Employee, label: employment type} + - {column: J, row: 8094, expected_value: Value, label: measure} + - {column: L, row: 8095, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8096 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8096, expected_value: E12000008, label: geography} + - {column: D, row: 8096, expected_value: Males, label: sex} + - {column: E, row: 8096, expected_value: Employee, label: employment type} + - {column: J, row: 8096, expected_value: Value, label: measure} + - {column: L, row: 8097, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8098 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8098, expected_value: E12000008, label: geography} + - {column: D, row: 8098, expected_value: Males, label: sex} + - {column: E, row: 8098, expected_value: Employee, label: employment type} + - {column: J, row: 8098, expected_value: Value, label: measure} + - {column: L, row: 8099, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8100 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8100, expected_value: E12000008, label: geography} + - {column: D, row: 8100, expected_value: Males, label: sex} + - {column: E, row: 8100, expected_value: Employee, label: employment type} + - {column: J, row: 8100, expected_value: Value, label: measure} + - {column: L, row: 8101, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8102 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8102, expected_value: E12000008, label: geography} + - {column: D, row: 8102, expected_value: Males, label: sex} + - {column: E, row: 8102, expected_value: Employee, label: employment type} + - {column: J, row: 8102, expected_value: Value, label: measure} + - {column: L, row: 8103, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8104 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8104, expected_value: E12000008, label: geography} + - {column: D, row: 8104, expected_value: Males, label: sex} + - {column: E, row: 8104, expected_value: Employee, label: employment type} + - {column: J, row: 8104, expected_value: Value, label: measure} + - {column: L, row: 8105, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8106 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8106, expected_value: E12000008, label: geography} + - {column: D, row: 8106, expected_value: Males, label: sex} + - {column: E, row: 8106, expected_value: Employee, label: employment type} + - {column: J, row: 8106, expected_value: Value, label: measure} + - {column: L, row: 8107, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8108 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8108, expected_value: E12000008, label: geography} + - {column: D, row: 8108, expected_value: Males, label: sex} + - {column: E, row: 8108, expected_value: Employee, label: employment type} + - {column: J, row: 8108, expected_value: Value, label: measure} + - {column: L, row: 8109, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8110 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8110, expected_value: E12000008, label: geography} + - {column: D, row: 8110, expected_value: Males, label: sex} + - {column: E, row: 8110, expected_value: Employee, label: employment type} + - {column: J, row: 8110, expected_value: Value, label: measure} + - {column: L, row: 8111, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8112 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8112, expected_value: E12000008, label: geography} + - {column: D, row: 8112, expected_value: Males, label: sex} + - {column: E, row: 8112, expected_value: Employee, label: employment type} + - {column: J, row: 8112, expected_value: Value, label: measure} + - {column: L, row: 8113, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8114 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8114, expected_value: E12000008, label: geography} + - {column: D, row: 8114, expected_value: Males, label: sex} + - {column: E, row: 8114, expected_value: Employee, label: employment type} + - {column: J, row: 8114, expected_value: Value, label: measure} + - {column: L, row: 8115, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8116 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8116, expected_value: E12000008, label: geography} + - {column: D, row: 8116, expected_value: Males, label: sex} + - {column: E, row: 8116, expected_value: Employee, label: employment type} + - {column: J, row: 8116, expected_value: Value, label: measure} + - {column: L, row: 8117, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8118 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8118, expected_value: E12000008, label: geography} + - {column: D, row: 8118, expected_value: Males, label: sex} + - {column: E, row: 8118, expected_value: Employee, label: employment type} + - {column: J, row: 8118, expected_value: Value, label: measure} + - {column: L, row: 8119, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8120 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8120, expected_value: E12000008, label: geography} + - {column: D, row: 8120, expected_value: Males, label: sex} + - {column: E, row: 8120, expected_value: Employee, label: employment type} + - {column: J, row: 8120, expected_value: Value, label: measure} + - {column: L, row: 8121, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8122 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8122, expected_value: E12000008, label: geography} + - {column: D, row: 8122, expected_value: Males, label: sex} + - {column: E, row: 8122, expected_value: Employee, label: employment type} + - {column: J, row: 8122, expected_value: Value, label: measure} + - {column: L, row: 8123, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8124 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8124, expected_value: E12000008, label: geography} + - {column: D, row: 8124, expected_value: Males, label: sex} + - {column: E, row: 8124, expected_value: Employee, label: employment type} + - {column: J, row: 8124, expected_value: Value, label: measure} + - {column: L, row: 8125, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8126 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8126, expected_value: E12000008, label: geography} + - {column: D, row: 8126, expected_value: Males, label: sex} + - {column: E, row: 8126, expected_value: Employee, label: employment type} + - {column: J, row: 8126, expected_value: Value, label: measure} + - {column: L, row: 8127, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8128 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8128, expected_value: E12000008, label: geography} + - {column: D, row: 8128, expected_value: Males, label: sex} + - {column: E, row: 8128, expected_value: Employee, label: employment type} + - {column: J, row: 8128, expected_value: Value, label: measure} + - {column: L, row: 8129, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8130 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8130, expected_value: E12000008, label: geography} + - {column: D, row: 8130, expected_value: Males, label: sex} + - {column: E, row: 8130, expected_value: Employee, label: employment type} + - {column: J, row: 8130, expected_value: Value, label: measure} + - {column: L, row: 8131, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8132 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8132, expected_value: E12000008, label: geography} + - {column: D, row: 8132, expected_value: Males, label: sex} + - {column: E, row: 8132, expected_value: Employee, label: employment type} + - {column: J, row: 8132, expected_value: Value, label: measure} + - {column: L, row: 8133, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8134 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8134, expected_value: E12000008, label: geography} + - {column: D, row: 8134, expected_value: Males, label: sex} + - {column: E, row: 8134, expected_value: Employee, label: employment type} + - {column: J, row: 8134, expected_value: Value, label: measure} + - {column: L, row: 8135, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8136 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8136, expected_value: E12000008, label: geography} + - {column: D, row: 8136, expected_value: Males, label: sex} + - {column: E, row: 8136, expected_value: Employee, label: employment type} + - {column: J, row: 8136, expected_value: Value, label: measure} + - {column: L, row: 8137, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8067 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8067, expected_value: E12000008, label: geography} + - {column: D, row: 8067, expected_value: Males, label: sex} + - {column: E, row: 8067, expected_value: Employee, label: employment type} + - {column: J, row: 8067, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8069 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8069, expected_value: E12000008, label: geography} + - {column: D, row: 8069, expected_value: Males, label: sex} + - {column: E, row: 8069, expected_value: Employee, label: employment type} + - {column: J, row: 8069, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8071 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8071, expected_value: E12000008, label: geography} + - {column: D, row: 8071, expected_value: Males, label: sex} + - {column: E, row: 8071, expected_value: Employee, label: employment type} + - {column: J, row: 8071, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8073 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8073, expected_value: E12000008, label: geography} + - {column: D, row: 8073, expected_value: Males, label: sex} + - {column: E, row: 8073, expected_value: Employee, label: employment type} + - {column: J, row: 8073, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8075 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8075, expected_value: E12000008, label: geography} + - {column: D, row: 8075, expected_value: Males, label: sex} + - {column: E, row: 8075, expected_value: Employee, label: employment type} + - {column: J, row: 8075, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8077 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8077, expected_value: E12000008, label: geography} + - {column: D, row: 8077, expected_value: Males, label: sex} + - {column: E, row: 8077, expected_value: Employee, label: employment type} + - {column: J, row: 8077, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8079 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8079, expected_value: E12000008, label: geography} + - {column: D, row: 8079, expected_value: Males, label: sex} + - {column: E, row: 8079, expected_value: Employee, label: employment type} + - {column: J, row: 8079, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8081 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8081, expected_value: E12000008, label: geography} + - {column: D, row: 8081, expected_value: Males, label: sex} + - {column: E, row: 8081, expected_value: Employee, label: employment type} + - {column: J, row: 8081, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8083 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8083, expected_value: E12000008, label: geography} + - {column: D, row: 8083, expected_value: Males, label: sex} + - {column: E, row: 8083, expected_value: Employee, label: employment type} + - {column: J, row: 8083, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8085 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8085, expected_value: E12000008, label: geography} + - {column: D, row: 8085, expected_value: Males, label: sex} + - {column: E, row: 8085, expected_value: Employee, label: employment type} + - {column: J, row: 8085, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8087 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8087, expected_value: E12000008, label: geography} + - {column: D, row: 8087, expected_value: Males, label: sex} + - {column: E, row: 8087, expected_value: Employee, label: employment type} + - {column: J, row: 8087, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8089 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8089, expected_value: E12000008, label: geography} + - {column: D, row: 8089, expected_value: Males, label: sex} + - {column: E, row: 8089, expected_value: Employee, label: employment type} + - {column: J, row: 8089, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8091 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8091, expected_value: E12000008, label: geography} + - {column: D, row: 8091, expected_value: Males, label: sex} + - {column: E, row: 8091, expected_value: Employee, label: employment type} + - {column: J, row: 8091, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8093 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8093, expected_value: E12000008, label: geography} + - {column: D, row: 8093, expected_value: Males, label: sex} + - {column: E, row: 8093, expected_value: Employee, label: employment type} + - {column: J, row: 8093, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8095 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8095, expected_value: E12000008, label: geography} + - {column: D, row: 8095, expected_value: Males, label: sex} + - {column: E, row: 8095, expected_value: Employee, label: employment type} + - {column: J, row: 8095, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8097 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8097, expected_value: E12000008, label: geography} + - {column: D, row: 8097, expected_value: Males, label: sex} + - {column: E, row: 8097, expected_value: Employee, label: employment type} + - {column: J, row: 8097, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8099 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8099, expected_value: E12000008, label: geography} + - {column: D, row: 8099, expected_value: Males, label: sex} + - {column: E, row: 8099, expected_value: Employee, label: employment type} + - {column: J, row: 8099, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8103 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8103, expected_value: E12000008, label: geography} + - {column: D, row: 8103, expected_value: Males, label: sex} + - {column: E, row: 8103, expected_value: Employee, label: employment type} + - {column: J, row: 8103, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8105 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8105, expected_value: E12000008, label: geography} + - {column: D, row: 8105, expected_value: Males, label: sex} + - {column: E, row: 8105, expected_value: Employee, label: employment type} + - {column: J, row: 8105, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8107 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8107, expected_value: E12000008, label: geography} + - {column: D, row: 8107, expected_value: Males, label: sex} + - {column: E, row: 8107, expected_value: Employee, label: employment type} + - {column: J, row: 8107, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8109 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8109, expected_value: E12000008, label: geography} + - {column: D, row: 8109, expected_value: Males, label: sex} + - {column: E, row: 8109, expected_value: Employee, label: employment type} + - {column: J, row: 8109, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8111 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8111, expected_value: E12000008, label: geography} + - {column: D, row: 8111, expected_value: Males, label: sex} + - {column: E, row: 8111, expected_value: Employee, label: employment type} + - {column: J, row: 8111, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8113 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8113, expected_value: E12000008, label: geography} + - {column: D, row: 8113, expected_value: Males, label: sex} + - {column: E, row: 8113, expected_value: Employee, label: employment type} + - {column: J, row: 8113, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8115 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8115, expected_value: E12000008, label: geography} + - {column: D, row: 8115, expected_value: Males, label: sex} + - {column: E, row: 8115, expected_value: Employee, label: employment type} + - {column: J, row: 8115, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8117 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8117, expected_value: E12000008, label: geography} + - {column: D, row: 8117, expected_value: Males, label: sex} + - {column: E, row: 8117, expected_value: Employee, label: employment type} + - {column: J, row: 8117, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8121 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8121, expected_value: E12000008, label: geography} + - {column: D, row: 8121, expected_value: Males, label: sex} + - {column: E, row: 8121, expected_value: Employee, label: employment type} + - {column: J, row: 8121, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8123 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8123, expected_value: E12000008, label: geography} + - {column: D, row: 8123, expected_value: Males, label: sex} + - {column: E, row: 8123, expected_value: Employee, label: employment type} + - {column: J, row: 8123, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8125 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8125, expected_value: E12000008, label: geography} + - {column: D, row: 8125, expected_value: Males, label: sex} + - {column: E, row: 8125, expected_value: Employee, label: employment type} + - {column: J, row: 8125, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8127 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8127, expected_value: E12000008, label: geography} + - {column: D, row: 8127, expected_value: Males, label: sex} + - {column: E, row: 8127, expected_value: Employee, label: employment type} + - {column: J, row: 8127, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8129 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8129, expected_value: E12000008, label: geography} + - {column: D, row: 8129, expected_value: Males, label: sex} + - {column: E, row: 8129, expected_value: Employee, label: employment type} + - {column: J, row: 8129, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8131 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8131, expected_value: E12000008, label: geography} + - {column: D, row: 8131, expected_value: Males, label: sex} + - {column: E, row: 8131, expected_value: Employee, label: employment type} + - {column: J, row: 8131, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8133 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8133, expected_value: E12000008, label: geography} + - {column: D, row: 8133, expected_value: Males, label: sex} + - {column: E, row: 8133, expected_value: Employee, label: employment type} + - {column: J, row: 8133, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8135 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8135, expected_value: E12000008, label: geography} + - {column: D, row: 8135, expected_value: Males, label: sex} + - {column: E, row: 8135, expected_value: Employee, label: employment type} + - {column: J, row: 8135, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8137 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8137, expected_value: E12000008, label: geography} + - {column: D, row: 8137, expected_value: Males, label: sex} + - {column: E, row: 8137, expected_value: Employee, label: employment type} + - {column: J, row: 8137, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8282 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8282, expected_value: E12000008, label: geography} + - {column: D, row: 8282, expected_value: Males, label: sex} + - {column: E, row: 8282, expected_value: Self-employed, label: employment type} + - {column: J, row: 8282, expected_value: Value, label: measure} + - {column: L, row: 8283, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8284 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8284, expected_value: E12000008, label: geography} + - {column: D, row: 8284, expected_value: Males, label: sex} + - {column: E, row: 8284, expected_value: Self-employed, label: employment type} + - {column: J, row: 8284, expected_value: Value, label: measure} + - {column: L, row: 8285, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8286 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8286, expected_value: E12000008, label: geography} + - {column: D, row: 8286, expected_value: Males, label: sex} + - {column: E, row: 8286, expected_value: Self-employed, label: employment type} + - {column: J, row: 8286, expected_value: Value, label: measure} + - {column: L, row: 8287, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8288 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8288, expected_value: E12000008, label: geography} + - {column: D, row: 8288, expected_value: Males, label: sex} + - {column: E, row: 8288, expected_value: Self-employed, label: employment type} + - {column: J, row: 8288, expected_value: Value, label: measure} + - {column: L, row: 8289, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8290 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8290, expected_value: E12000008, label: geography} + - {column: D, row: 8290, expected_value: Males, label: sex} + - {column: E, row: 8290, expected_value: Self-employed, label: employment type} + - {column: J, row: 8290, expected_value: Value, label: measure} + - {column: L, row: 8291, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8292 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8292, expected_value: E12000008, label: geography} + - {column: D, row: 8292, expected_value: Males, label: sex} + - {column: E, row: 8292, expected_value: Self-employed, label: employment type} + - {column: J, row: 8292, expected_value: Value, label: measure} + - {column: L, row: 8293, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8294 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8294, expected_value: E12000008, label: geography} + - {column: D, row: 8294, expected_value: Males, label: sex} + - {column: E, row: 8294, expected_value: Self-employed, label: employment type} + - {column: J, row: 8294, expected_value: Value, label: measure} + - {column: L, row: 8295, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8296 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8296, expected_value: E12000008, label: geography} + - {column: D, row: 8296, expected_value: Males, label: sex} + - {column: E, row: 8296, expected_value: Self-employed, label: employment type} + - {column: J, row: 8296, expected_value: Value, label: measure} + - {column: L, row: 8297, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8298 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8298, expected_value: E12000008, label: geography} + - {column: D, row: 8298, expected_value: Males, label: sex} + - {column: E, row: 8298, expected_value: Self-employed, label: employment type} + - {column: J, row: 8298, expected_value: Value, label: measure} + - {column: L, row: 8299, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8300 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8300, expected_value: E12000008, label: geography} + - {column: D, row: 8300, expected_value: Males, label: sex} + - {column: E, row: 8300, expected_value: Self-employed, label: employment type} + - {column: J, row: 8300, expected_value: Value, label: measure} + - {column: L, row: 8301, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8302 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8302, expected_value: E12000008, label: geography} + - {column: D, row: 8302, expected_value: Males, label: sex} + - {column: E, row: 8302, expected_value: Self-employed, label: employment type} + - {column: J, row: 8302, expected_value: Value, label: measure} + - {column: L, row: 8303, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8304 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8304, expected_value: E12000008, label: geography} + - {column: D, row: 8304, expected_value: Males, label: sex} + - {column: E, row: 8304, expected_value: Self-employed, label: employment type} + - {column: J, row: 8304, expected_value: Value, label: measure} + - {column: L, row: 8305, expected_value: G, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8306 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8306, expected_value: E12000008, label: geography} + - {column: D, row: 8306, expected_value: Males, label: sex} + - {column: E, row: 8306, expected_value: Self-employed, label: employment type} + - {column: J, row: 8306, expected_value: Value, label: measure} + - {column: L, row: 8307, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8308 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8308, expected_value: E12000008, label: geography} + - {column: D, row: 8308, expected_value: Males, label: sex} + - {column: E, row: 8308, expected_value: Self-employed, label: employment type} + - {column: J, row: 8308, expected_value: Value, label: measure} + - {column: L, row: 8309, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8310 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8310, expected_value: E12000008, label: geography} + - {column: D, row: 8310, expected_value: Males, label: sex} + - {column: E, row: 8310, expected_value: Self-employed, label: employment type} + - {column: J, row: 8310, expected_value: Value, label: measure} + - {column: L, row: 8311, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8312 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8312, expected_value: E12000008, label: geography} + - {column: D, row: 8312, expected_value: Males, label: sex} + - {column: E, row: 8312, expected_value: Self-employed, label: employment type} + - {column: J, row: 8312, expected_value: Value, label: measure} + - {column: L, row: 8313, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8314 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8314, expected_value: E12000008, label: geography} + - {column: D, row: 8314, expected_value: Males, label: sex} + - {column: E, row: 8314, expected_value: Self-employed, label: employment type} + - {column: J, row: 8314, expected_value: Value, label: measure} + - {column: L, row: 8315, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8318 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8318, expected_value: E12000008, label: geography} + - {column: D, row: 8318, expected_value: Males, label: sex} + - {column: E, row: 8318, expected_value: Self-employed, label: employment type} + - {column: J, row: 8318, expected_value: Value, label: measure} + - {column: L, row: 8319, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8320 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8320, expected_value: E12000008, label: geography} + - {column: D, row: 8320, expected_value: Males, label: sex} + - {column: E, row: 8320, expected_value: Self-employed, label: employment type} + - {column: J, row: 8320, expected_value: Value, label: measure} + - {column: L, row: 8321, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8322 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8322, expected_value: E12000008, label: geography} + - {column: D, row: 8322, expected_value: Males, label: sex} + - {column: E, row: 8322, expected_value: Self-employed, label: employment type} + - {column: J, row: 8322, expected_value: Value, label: measure} + - {column: L, row: 8323, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8324 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8324, expected_value: E12000008, label: geography} + - {column: D, row: 8324, expected_value: Males, label: sex} + - {column: E, row: 8324, expected_value: Self-employed, label: employment type} + - {column: J, row: 8324, expected_value: Value, label: measure} + - {column: L, row: 8325, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8326 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8326, expected_value: E12000008, label: geography} + - {column: D, row: 8326, expected_value: Males, label: sex} + - {column: E, row: 8326, expected_value: Self-employed, label: employment type} + - {column: J, row: 8326, expected_value: Value, label: measure} + - {column: L, row: 8327, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8328 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8328, expected_value: E12000008, label: geography} + - {column: D, row: 8328, expected_value: Males, label: sex} + - {column: E, row: 8328, expected_value: Self-employed, label: employment type} + - {column: J, row: 8328, expected_value: Value, label: measure} + - {column: L, row: 8329, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8330 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8330, expected_value: E12000008, label: geography} + - {column: D, row: 8330, expected_value: Males, label: sex} + - {column: E, row: 8330, expected_value: Self-employed, label: employment type} + - {column: J, row: 8330, expected_value: Value, label: measure} + - {column: L, row: 8331, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8332 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8332, expected_value: E12000008, label: geography} + - {column: D, row: 8332, expected_value: Males, label: sex} + - {column: E, row: 8332, expected_value: Self-employed, label: employment type} + - {column: J, row: 8332, expected_value: Value, label: measure} + - {column: L, row: 8333, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8336 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8336, expected_value: E12000008, label: geography} + - {column: D, row: 8336, expected_value: Males, label: sex} + - {column: E, row: 8336, expected_value: Self-employed, label: employment type} + - {column: J, row: 8336, expected_value: Value, label: measure} + - {column: L, row: 8337, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8338 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8338, expected_value: E12000008, label: geography} + - {column: D, row: 8338, expected_value: Males, label: sex} + - {column: E, row: 8338, expected_value: Self-employed, label: employment type} + - {column: J, row: 8338, expected_value: Value, label: measure} + - {column: L, row: 8339, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8342 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8342, expected_value: E12000008, label: geography} + - {column: D, row: 8342, expected_value: Males, label: sex} + - {column: E, row: 8342, expected_value: Self-employed, label: employment type} + - {column: J, row: 8342, expected_value: Value, label: measure} + - {column: L, row: 8343, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8344 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8344, expected_value: E12000008, label: geography} + - {column: D, row: 8344, expected_value: Males, label: sex} + - {column: E, row: 8344, expected_value: Self-employed, label: employment type} + - {column: J, row: 8344, expected_value: Value, label: measure} + - {column: L, row: 8345, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8346 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8346, expected_value: E12000008, label: geography} + - {column: D, row: 8346, expected_value: Males, label: sex} + - {column: E, row: 8346, expected_value: Self-employed, label: employment type} + - {column: J, row: 8346, expected_value: Value, label: measure} + - {column: L, row: 8347, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8348 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8348, expected_value: E12000008, label: geography} + - {column: D, row: 8348, expected_value: Males, label: sex} + - {column: E, row: 8348, expected_value: Self-employed, label: employment type} + - {column: J, row: 8348, expected_value: Value, label: measure} + - {column: L, row: 8349, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8350 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8350, expected_value: E12000008, label: geography} + - {column: D, row: 8350, expected_value: Males, label: sex} + - {column: E, row: 8350, expected_value: Self-employed, label: employment type} + - {column: J, row: 8350, expected_value: Value, label: measure} + - {column: L, row: 8351, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8352 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8352, expected_value: E12000008, label: geography} + - {column: D, row: 8352, expected_value: Males, label: sex} + - {column: E, row: 8352, expected_value: Self-employed, label: employment type} + - {column: J, row: 8352, expected_value: Value, label: measure} + - {column: L, row: 8353, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8283 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8283, expected_value: E12000008, label: geography} + - {column: D, row: 8283, expected_value: Males, label: sex} + - {column: E, row: 8283, expected_value: Self-employed, label: employment type} + - {column: J, row: 8283, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8285 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8285, expected_value: E12000008, label: geography} + - {column: D, row: 8285, expected_value: Males, label: sex} + - {column: E, row: 8285, expected_value: Self-employed, label: employment type} + - {column: J, row: 8285, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8287 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8287, expected_value: E12000008, label: geography} + - {column: D, row: 8287, expected_value: Males, label: sex} + - {column: E, row: 8287, expected_value: Self-employed, label: employment type} + - {column: J, row: 8287, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8289 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8289, expected_value: E12000008, label: geography} + - {column: D, row: 8289, expected_value: Males, label: sex} + - {column: E, row: 8289, expected_value: Self-employed, label: employment type} + - {column: J, row: 8289, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8291 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8291, expected_value: E12000008, label: geography} + - {column: D, row: 8291, expected_value: Males, label: sex} + - {column: E, row: 8291, expected_value: Self-employed, label: employment type} + - {column: J, row: 8291, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8293 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8293, expected_value: E12000008, label: geography} + - {column: D, row: 8293, expected_value: Males, label: sex} + - {column: E, row: 8293, expected_value: Self-employed, label: employment type} + - {column: J, row: 8293, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8295 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8295, expected_value: E12000008, label: geography} + - {column: D, row: 8295, expected_value: Males, label: sex} + - {column: E, row: 8295, expected_value: Self-employed, label: employment type} + - {column: J, row: 8295, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8297 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8297, expected_value: E12000008, label: geography} + - {column: D, row: 8297, expected_value: Males, label: sex} + - {column: E, row: 8297, expected_value: Self-employed, label: employment type} + - {column: J, row: 8297, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8299 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8299, expected_value: E12000008, label: geography} + - {column: D, row: 8299, expected_value: Males, label: sex} + - {column: E, row: 8299, expected_value: Self-employed, label: employment type} + - {column: J, row: 8299, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8301 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8301, expected_value: E12000008, label: geography} + - {column: D, row: 8301, expected_value: Males, label: sex} + - {column: E, row: 8301, expected_value: Self-employed, label: employment type} + - {column: J, row: 8301, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8309 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8309, expected_value: E12000008, label: geography} + - {column: D, row: 8309, expected_value: Males, label: sex} + - {column: E, row: 8309, expected_value: Self-employed, label: employment type} + - {column: J, row: 8309, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8311 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8311, expected_value: E12000008, label: geography} + - {column: D, row: 8311, expected_value: Males, label: sex} + - {column: E, row: 8311, expected_value: Self-employed, label: employment type} + - {column: J, row: 8311, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8313 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8313, expected_value: E12000008, label: geography} + - {column: D, row: 8313, expected_value: Males, label: sex} + - {column: E, row: 8313, expected_value: Self-employed, label: employment type} + - {column: J, row: 8313, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8315 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8315, expected_value: E12000008, label: geography} + - {column: D, row: 8315, expected_value: Males, label: sex} + - {column: E, row: 8315, expected_value: Self-employed, label: employment type} + - {column: J, row: 8315, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8319 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8319, expected_value: E12000008, label: geography} + - {column: D, row: 8319, expected_value: Males, label: sex} + - {column: E, row: 8319, expected_value: Self-employed, label: employment type} + - {column: J, row: 8319, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8321 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8321, expected_value: E12000008, label: geography} + - {column: D, row: 8321, expected_value: Males, label: sex} + - {column: E, row: 8321, expected_value: Self-employed, label: employment type} + - {column: J, row: 8321, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8323 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8323, expected_value: E12000008, label: geography} + - {column: D, row: 8323, expected_value: Males, label: sex} + - {column: E, row: 8323, expected_value: Self-employed, label: employment type} + - {column: J, row: 8323, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8325 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8325, expected_value: E12000008, label: geography} + - {column: D, row: 8325, expected_value: Males, label: sex} + - {column: E, row: 8325, expected_value: Self-employed, label: employment type} + - {column: J, row: 8325, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8327 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8327, expected_value: E12000008, label: geography} + - {column: D, row: 8327, expected_value: Males, label: sex} + - {column: E, row: 8327, expected_value: Self-employed, label: employment type} + - {column: J, row: 8327, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8329 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8329, expected_value: E12000008, label: geography} + - {column: D, row: 8329, expected_value: Males, label: sex} + - {column: E, row: 8329, expected_value: Self-employed, label: employment type} + - {column: J, row: 8329, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8331 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8331, expected_value: E12000008, label: geography} + - {column: D, row: 8331, expected_value: Males, label: sex} + - {column: E, row: 8331, expected_value: Self-employed, label: employment type} + - {column: J, row: 8331, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8337 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8337, expected_value: E12000008, label: geography} + - {column: D, row: 8337, expected_value: Males, label: sex} + - {column: E, row: 8337, expected_value: Self-employed, label: employment type} + - {column: J, row: 8337, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8339 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8339, expected_value: E12000008, label: geography} + - {column: D, row: 8339, expected_value: Males, label: sex} + - {column: E, row: 8339, expected_value: Self-employed, label: employment type} + - {column: J, row: 8339, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8343 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8343, expected_value: E12000008, label: geography} + - {column: D, row: 8343, expected_value: Males, label: sex} + - {column: E, row: 8343, expected_value: Self-employed, label: employment type} + - {column: J, row: 8343, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8345 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8345, expected_value: E12000008, label: geography} + - {column: D, row: 8345, expected_value: Males, label: sex} + - {column: E, row: 8345, expected_value: Self-employed, label: employment type} + - {column: J, row: 8345, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8347 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8347, expected_value: E12000008, label: geography} + - {column: D, row: 8347, expected_value: Males, label: sex} + - {column: E, row: 8347, expected_value: Self-employed, label: employment type} + - {column: J, row: 8347, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8349 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8349, expected_value: E12000008, label: geography} + - {column: D, row: 8349, expected_value: Males, label: sex} + - {column: E, row: 8349, expected_value: Self-employed, label: employment type} + - {column: J, row: 8349, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8351 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8351, expected_value: E12000008, label: geography} + - {column: D, row: 8351, expected_value: Males, label: sex} + - {column: E, row: 8351, expected_value: Self-employed, label: employment type} + - {column: J, row: 8351, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8353 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8353, expected_value: E12000008, label: geography} + - {column: D, row: 8353, expected_value: Males, label: sex} + - {column: E, row: 8353, expected_value: Self-employed, label: employment type} + - {column: J, row: 8353, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7922 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7922, expected_value: E12000008, label: geography} + - {column: D, row: 7922, expected_value: Females, label: sex} + - {column: E, row: 7922, expected_value: Total, label: employment type} + - {column: J, row: 7922, expected_value: Value, label: measure} + - {column: L, row: 7923, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7924 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7924, expected_value: E12000008, label: geography} + - {column: D, row: 7924, expected_value: Females, label: sex} + - {column: E, row: 7924, expected_value: Total, label: employment type} + - {column: J, row: 7924, expected_value: Value, label: measure} + - {column: L, row: 7925, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7926 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7926, expected_value: E12000008, label: geography} + - {column: D, row: 7926, expected_value: Females, label: sex} + - {column: E, row: 7926, expected_value: Total, label: employment type} + - {column: J, row: 7926, expected_value: Value, label: measure} + - {column: L, row: 7927, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7928 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7928, expected_value: E12000008, label: geography} + - {column: D, row: 7928, expected_value: Females, label: sex} + - {column: E, row: 7928, expected_value: Total, label: employment type} + - {column: J, row: 7928, expected_value: Value, label: measure} + - {column: L, row: 7929, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7930 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7930, expected_value: E12000008, label: geography} + - {column: D, row: 7930, expected_value: Females, label: sex} + - {column: E, row: 7930, expected_value: Total, label: employment type} + - {column: J, row: 7930, expected_value: Value, label: measure} + - {column: L, row: 7931, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7932 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7932, expected_value: E12000008, label: geography} + - {column: D, row: 7932, expected_value: Females, label: sex} + - {column: E, row: 7932, expected_value: Total, label: employment type} + - {column: J, row: 7932, expected_value: Value, label: measure} + - {column: L, row: 7933, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7934 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7934, expected_value: E12000008, label: geography} + - {column: D, row: 7934, expected_value: Females, label: sex} + - {column: E, row: 7934, expected_value: Total, label: employment type} + - {column: J, row: 7934, expected_value: Value, label: measure} + - {column: L, row: 7935, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7936 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7936, expected_value: E12000008, label: geography} + - {column: D, row: 7936, expected_value: Females, label: sex} + - {column: E, row: 7936, expected_value: Total, label: employment type} + - {column: J, row: 7936, expected_value: Value, label: measure} + - {column: L, row: 7937, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7938 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7938, expected_value: E12000008, label: geography} + - {column: D, row: 7938, expected_value: Females, label: sex} + - {column: E, row: 7938, expected_value: Total, label: employment type} + - {column: J, row: 7938, expected_value: Value, label: measure} + - {column: L, row: 7939, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7940 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7940, expected_value: E12000008, label: geography} + - {column: D, row: 7940, expected_value: Females, label: sex} + - {column: E, row: 7940, expected_value: Total, label: employment type} + - {column: J, row: 7940, expected_value: Value, label: measure} + - {column: L, row: 7941, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7942 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7942, expected_value: E12000008, label: geography} + - {column: D, row: 7942, expected_value: Females, label: sex} + - {column: E, row: 7942, expected_value: Total, label: employment type} + - {column: J, row: 7942, expected_value: Value, label: measure} + - {column: L, row: 7943, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7944 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7944, expected_value: E12000008, label: geography} + - {column: D, row: 7944, expected_value: Females, label: sex} + - {column: E, row: 7944, expected_value: Total, label: employment type} + - {column: J, row: 7944, expected_value: Value, label: measure} + - {column: L, row: 7945, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7946 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7946, expected_value: E12000008, label: geography} + - {column: D, row: 7946, expected_value: Females, label: sex} + - {column: E, row: 7946, expected_value: Total, label: employment type} + - {column: J, row: 7946, expected_value: Value, label: measure} + - {column: L, row: 7947, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7948 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7948, expected_value: E12000008, label: geography} + - {column: D, row: 7948, expected_value: Females, label: sex} + - {column: E, row: 7948, expected_value: Total, label: employment type} + - {column: J, row: 7948, expected_value: Value, label: measure} + - {column: L, row: 7949, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7950 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7950, expected_value: E12000008, label: geography} + - {column: D, row: 7950, expected_value: Females, label: sex} + - {column: E, row: 7950, expected_value: Total, label: employment type} + - {column: J, row: 7950, expected_value: Value, label: measure} + - {column: L, row: 7951, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7952 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7952, expected_value: E12000008, label: geography} + - {column: D, row: 7952, expected_value: Females, label: sex} + - {column: E, row: 7952, expected_value: Total, label: employment type} + - {column: J, row: 7952, expected_value: Value, label: measure} + - {column: L, row: 7953, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7954 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7954, expected_value: E12000008, label: geography} + - {column: D, row: 7954, expected_value: Females, label: sex} + - {column: E, row: 7954, expected_value: Total, label: employment type} + - {column: J, row: 7954, expected_value: Value, label: measure} + - {column: L, row: 7955, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7956 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7956, expected_value: E12000008, label: geography} + - {column: D, row: 7956, expected_value: Females, label: sex} + - {column: E, row: 7956, expected_value: Total, label: employment type} + - {column: J, row: 7956, expected_value: Value, label: measure} + - {column: L, row: 7957, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7958 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7958, expected_value: E12000008, label: geography} + - {column: D, row: 7958, expected_value: Females, label: sex} + - {column: E, row: 7958, expected_value: Total, label: employment type} + - {column: J, row: 7958, expected_value: Value, label: measure} + - {column: L, row: 7959, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7960 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7960, expected_value: E12000008, label: geography} + - {column: D, row: 7960, expected_value: Females, label: sex} + - {column: E, row: 7960, expected_value: Total, label: employment type} + - {column: J, row: 7960, expected_value: Value, label: measure} + - {column: L, row: 7961, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7962 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7962, expected_value: E12000008, label: geography} + - {column: D, row: 7962, expected_value: Females, label: sex} + - {column: E, row: 7962, expected_value: Total, label: employment type} + - {column: J, row: 7962, expected_value: Value, label: measure} + - {column: L, row: 7963, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 7964 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 7964, expected_value: E12000008, label: geography} + - {column: D, row: 7964, expected_value: Females, label: sex} + - {column: E, row: 7964, expected_value: Total, label: employment type} + - {column: J, row: 7964, expected_value: Value, label: measure} + - {column: L, row: 7965, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7966 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7966, expected_value: E12000008, label: geography} + - {column: D, row: 7966, expected_value: Females, label: sex} + - {column: E, row: 7966, expected_value: Total, label: employment type} + - {column: J, row: 7966, expected_value: Value, label: measure} + - {column: L, row: 7967, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7968 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7968, expected_value: E12000008, label: geography} + - {column: D, row: 7968, expected_value: Females, label: sex} + - {column: E, row: 7968, expected_value: Total, label: employment type} + - {column: J, row: 7968, expected_value: Value, label: measure} + - {column: L, row: 7969, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7970 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7970, expected_value: E12000008, label: geography} + - {column: D, row: 7970, expected_value: Females, label: sex} + - {column: E, row: 7970, expected_value: Total, label: employment type} + - {column: J, row: 7970, expected_value: Value, label: measure} + - {column: L, row: 7971, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7972 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7972, expected_value: E12000008, label: geography} + - {column: D, row: 7972, expected_value: Females, label: sex} + - {column: E, row: 7972, expected_value: Total, label: employment type} + - {column: J, row: 7972, expected_value: Value, label: measure} + - {column: L, row: 7973, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 7974 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 7974, expected_value: E12000008, label: geography} + - {column: D, row: 7974, expected_value: Females, label: sex} + - {column: E, row: 7974, expected_value: Total, label: employment type} + - {column: J, row: 7974, expected_value: Value, label: measure} + - {column: L, row: 7975, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7976 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7976, expected_value: E12000008, label: geography} + - {column: D, row: 7976, expected_value: Females, label: sex} + - {column: E, row: 7976, expected_value: Total, label: employment type} + - {column: J, row: 7976, expected_value: Value, label: measure} + - {column: L, row: 7977, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7978 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7978, expected_value: E12000008, label: geography} + - {column: D, row: 7978, expected_value: Females, label: sex} + - {column: E, row: 7978, expected_value: Total, label: employment type} + - {column: J, row: 7978, expected_value: Value, label: measure} + - {column: L, row: 7979, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7980 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7980, expected_value: E12000008, label: geography} + - {column: D, row: 7980, expected_value: Females, label: sex} + - {column: E, row: 7980, expected_value: Total, label: employment type} + - {column: J, row: 7980, expected_value: Value, label: measure} + - {column: L, row: 7981, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7982 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7982, expected_value: E12000008, label: geography} + - {column: D, row: 7982, expected_value: Females, label: sex} + - {column: E, row: 7982, expected_value: Total, label: employment type} + - {column: J, row: 7982, expected_value: Value, label: measure} + - {column: L, row: 7983, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7984 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7984, expected_value: E12000008, label: geography} + - {column: D, row: 7984, expected_value: Females, label: sex} + - {column: E, row: 7984, expected_value: Total, label: employment type} + - {column: J, row: 7984, expected_value: Value, label: measure} + - {column: L, row: 7985, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7986 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7986, expected_value: E12000008, label: geography} + - {column: D, row: 7986, expected_value: Females, label: sex} + - {column: E, row: 7986, expected_value: Total, label: employment type} + - {column: J, row: 7986, expected_value: Value, label: measure} + - {column: L, row: 7987, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7988 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7988, expected_value: E12000008, label: geography} + - {column: D, row: 7988, expected_value: Females, label: sex} + - {column: E, row: 7988, expected_value: Total, label: employment type} + - {column: J, row: 7988, expected_value: Value, label: measure} + - {column: L, row: 7989, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7990 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7990, expected_value: E12000008, label: geography} + - {column: D, row: 7990, expected_value: Females, label: sex} + - {column: E, row: 7990, expected_value: Total, label: employment type} + - {column: J, row: 7990, expected_value: Value, label: measure} + - {column: L, row: 7991, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7992 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7992, expected_value: E12000008, label: geography} + - {column: D, row: 7992, expected_value: Females, label: sex} + - {column: E, row: 7992, expected_value: Total, label: employment type} + - {column: J, row: 7992, expected_value: Value, label: measure} + - {column: L, row: 7993, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 7923 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 7923, expected_value: E12000008, label: geography} + - {column: D, row: 7923, expected_value: Females, label: sex} + - {column: E, row: 7923, expected_value: Total, label: employment type} + - {column: J, row: 7923, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7925 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 7925, expected_value: E12000008, label: geography} + - {column: D, row: 7925, expected_value: Females, label: sex} + - {column: E, row: 7925, expected_value: Total, label: employment type} + - {column: J, row: 7925, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 7927 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 7927, expected_value: E12000008, label: geography} + - {column: D, row: 7927, expected_value: Females, label: sex} + - {column: E, row: 7927, expected_value: Total, label: employment type} + - {column: J, row: 7927, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 7929 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 7929, expected_value: E12000008, label: geography} + - {column: D, row: 7929, expected_value: Females, label: sex} + - {column: E, row: 7929, expected_value: Total, label: employment type} + - {column: J, row: 7929, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 7931 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 7931, expected_value: E12000008, label: geography} + - {column: D, row: 7931, expected_value: Females, label: sex} + - {column: E, row: 7931, expected_value: Total, label: employment type} + - {column: J, row: 7931, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 7933 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 7933, expected_value: E12000008, label: geography} + - {column: D, row: 7933, expected_value: Females, label: sex} + - {column: E, row: 7933, expected_value: Total, label: employment type} + - {column: J, row: 7933, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 7935 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 7935, expected_value: E12000008, label: geography} + - {column: D, row: 7935, expected_value: Females, label: sex} + - {column: E, row: 7935, expected_value: Total, label: employment type} + - {column: J, row: 7935, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 7937 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 7937, expected_value: E12000008, label: geography} + - {column: D, row: 7937, expected_value: Females, label: sex} + - {column: E, row: 7937, expected_value: Total, label: employment type} + - {column: J, row: 7937, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 7939 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 7939, expected_value: E12000008, label: geography} + - {column: D, row: 7939, expected_value: Females, label: sex} + - {column: E, row: 7939, expected_value: Total, label: employment type} + - {column: J, row: 7939, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 7941 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 7941, expected_value: E12000008, label: geography} + - {column: D, row: 7941, expected_value: Females, label: sex} + - {column: E, row: 7941, expected_value: Total, label: employment type} + - {column: J, row: 7941, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 7943 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 7943, expected_value: E12000008, label: geography} + - {column: D, row: 7943, expected_value: Females, label: sex} + - {column: E, row: 7943, expected_value: Total, label: employment type} + - {column: J, row: 7943, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 7945 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 7945, expected_value: E12000008, label: geography} + - {column: D, row: 7945, expected_value: Females, label: sex} + - {column: E, row: 7945, expected_value: Total, label: employment type} + - {column: J, row: 7945, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 7947 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 7947, expected_value: E12000008, label: geography} + - {column: D, row: 7947, expected_value: Females, label: sex} + - {column: E, row: 7947, expected_value: Total, label: employment type} + - {column: J, row: 7947, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 7949 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 7949, expected_value: E12000008, label: geography} + - {column: D, row: 7949, expected_value: Females, label: sex} + - {column: E, row: 7949, expected_value: Total, label: employment type} + - {column: J, row: 7949, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 7951 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 7951, expected_value: E12000008, label: geography} + - {column: D, row: 7951, expected_value: Females, label: sex} + - {column: E, row: 7951, expected_value: Total, label: employment type} + - {column: J, row: 7951, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 7953 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 7953, expected_value: E12000008, label: geography} + - {column: D, row: 7953, expected_value: Females, label: sex} + - {column: E, row: 7953, expected_value: Total, label: employment type} + - {column: J, row: 7953, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 7955 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 7955, expected_value: E12000008, label: geography} + - {column: D, row: 7955, expected_value: Females, label: sex} + - {column: E, row: 7955, expected_value: Total, label: employment type} + - {column: J, row: 7955, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 7957 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 7957, expected_value: E12000008, label: geography} + - {column: D, row: 7957, expected_value: Females, label: sex} + - {column: E, row: 7957, expected_value: Total, label: employment type} + - {column: J, row: 7957, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 7959 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 7959, expected_value: E12000008, label: geography} + - {column: D, row: 7959, expected_value: Females, label: sex} + - {column: E, row: 7959, expected_value: Total, label: employment type} + - {column: J, row: 7959, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 7961 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 7961, expected_value: E12000008, label: geography} + - {column: D, row: 7961, expected_value: Females, label: sex} + - {column: E, row: 7961, expected_value: Total, label: employment type} + - {column: J, row: 7961, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 7963 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 7963, expected_value: E12000008, label: geography} + - {column: D, row: 7963, expected_value: Females, label: sex} + - {column: E, row: 7963, expected_value: Total, label: employment type} + - {column: J, row: 7963, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 7967 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 7967, expected_value: E12000008, label: geography} + - {column: D, row: 7967, expected_value: Females, label: sex} + - {column: E, row: 7967, expected_value: Total, label: employment type} + - {column: J, row: 7967, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 7969 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 7969, expected_value: E12000008, label: geography} + - {column: D, row: 7969, expected_value: Females, label: sex} + - {column: E, row: 7969, expected_value: Total, label: employment type} + - {column: J, row: 7969, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 7971 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 7971, expected_value: E12000008, label: geography} + - {column: D, row: 7971, expected_value: Females, label: sex} + - {column: E, row: 7971, expected_value: Total, label: employment type} + - {column: J, row: 7971, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 7973 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 7973, expected_value: E12000008, label: geography} + - {column: D, row: 7973, expected_value: Females, label: sex} + - {column: E, row: 7973, expected_value: Total, label: employment type} + - {column: J, row: 7973, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 7977 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 7977, expected_value: E12000008, label: geography} + - {column: D, row: 7977, expected_value: Females, label: sex} + - {column: E, row: 7977, expected_value: Total, label: employment type} + - {column: J, row: 7977, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 7979 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 7979, expected_value: E12000008, label: geography} + - {column: D, row: 7979, expected_value: Females, label: sex} + - {column: E, row: 7979, expected_value: Total, label: employment type} + - {column: J, row: 7979, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 7981 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 7981, expected_value: E12000008, label: geography} + - {column: D, row: 7981, expected_value: Females, label: sex} + - {column: E, row: 7981, expected_value: Total, label: employment type} + - {column: J, row: 7981, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 7983 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 7983, expected_value: E12000008, label: geography} + - {column: D, row: 7983, expected_value: Females, label: sex} + - {column: E, row: 7983, expected_value: Total, label: employment type} + - {column: J, row: 7983, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 7985 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 7985, expected_value: E12000008, label: geography} + - {column: D, row: 7985, expected_value: Females, label: sex} + - {column: E, row: 7985, expected_value: Total, label: employment type} + - {column: J, row: 7985, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 7987 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 7987, expected_value: E12000008, label: geography} + - {column: D, row: 7987, expected_value: Females, label: sex} + - {column: E, row: 7987, expected_value: Total, label: employment type} + - {column: J, row: 7987, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 7989 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 7989, expected_value: E12000008, label: geography} + - {column: D, row: 7989, expected_value: Females, label: sex} + - {column: E, row: 7989, expected_value: Total, label: employment type} + - {column: J, row: 7989, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 7991 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 7991, expected_value: E12000008, label: geography} + - {column: D, row: 7991, expected_value: Females, label: sex} + - {column: E, row: 7991, expected_value: Total, label: employment type} + - {column: J, row: 7991, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 7993 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 7993, expected_value: E12000008, label: geography} + - {column: D, row: 7993, expected_value: Females, label: sex} + - {column: E, row: 7993, expected_value: Total, label: employment type} + - {column: J, row: 7993, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8138 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8138, expected_value: E12000008, label: geography} + - {column: D, row: 8138, expected_value: Females, label: sex} + - {column: E, row: 8138, expected_value: Employee, label: employment type} + - {column: J, row: 8138, expected_value: Value, label: measure} + - {column: L, row: 8139, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8140 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8140, expected_value: E12000008, label: geography} + - {column: D, row: 8140, expected_value: Females, label: sex} + - {column: E, row: 8140, expected_value: Employee, label: employment type} + - {column: J, row: 8140, expected_value: Value, label: measure} + - {column: L, row: 8141, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8142 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8142, expected_value: E12000008, label: geography} + - {column: D, row: 8142, expected_value: Females, label: sex} + - {column: E, row: 8142, expected_value: Employee, label: employment type} + - {column: J, row: 8142, expected_value: Value, label: measure} + - {column: L, row: 8143, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8144 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8144, expected_value: E12000008, label: geography} + - {column: D, row: 8144, expected_value: Females, label: sex} + - {column: E, row: 8144, expected_value: Employee, label: employment type} + - {column: J, row: 8144, expected_value: Value, label: measure} + - {column: L, row: 8145, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8146 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8146, expected_value: E12000008, label: geography} + - {column: D, row: 8146, expected_value: Females, label: sex} + - {column: E, row: 8146, expected_value: Employee, label: employment type} + - {column: J, row: 8146, expected_value: Value, label: measure} + - {column: L, row: 8147, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8148 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8148, expected_value: E12000008, label: geography} + - {column: D, row: 8148, expected_value: Females, label: sex} + - {column: E, row: 8148, expected_value: Employee, label: employment type} + - {column: J, row: 8148, expected_value: Value, label: measure} + - {column: L, row: 8149, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8150 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8150, expected_value: E12000008, label: geography} + - {column: D, row: 8150, expected_value: Females, label: sex} + - {column: E, row: 8150, expected_value: Employee, label: employment type} + - {column: J, row: 8150, expected_value: Value, label: measure} + - {column: L, row: 8151, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8152 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8152, expected_value: E12000008, label: geography} + - {column: D, row: 8152, expected_value: Females, label: sex} + - {column: E, row: 8152, expected_value: Employee, label: employment type} + - {column: J, row: 8152, expected_value: Value, label: measure} + - {column: L, row: 8153, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8154 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8154, expected_value: E12000008, label: geography} + - {column: D, row: 8154, expected_value: Females, label: sex} + - {column: E, row: 8154, expected_value: Employee, label: employment type} + - {column: J, row: 8154, expected_value: Value, label: measure} + - {column: L, row: 8155, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8156 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8156, expected_value: E12000008, label: geography} + - {column: D, row: 8156, expected_value: Females, label: sex} + - {column: E, row: 8156, expected_value: Employee, label: employment type} + - {column: J, row: 8156, expected_value: Value, label: measure} + - {column: L, row: 8157, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8158 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8158, expected_value: E12000008, label: geography} + - {column: D, row: 8158, expected_value: Females, label: sex} + - {column: E, row: 8158, expected_value: Employee, label: employment type} + - {column: J, row: 8158, expected_value: Value, label: measure} + - {column: L, row: 8159, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8160 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8160, expected_value: E12000008, label: geography} + - {column: D, row: 8160, expected_value: Females, label: sex} + - {column: E, row: 8160, expected_value: Employee, label: employment type} + - {column: J, row: 8160, expected_value: Value, label: measure} + - {column: L, row: 8161, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8162 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8162, expected_value: E12000008, label: geography} + - {column: D, row: 8162, expected_value: Females, label: sex} + - {column: E, row: 8162, expected_value: Employee, label: employment type} + - {column: J, row: 8162, expected_value: Value, label: measure} + - {column: L, row: 8163, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8164 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8164, expected_value: E12000008, label: geography} + - {column: D, row: 8164, expected_value: Females, label: sex} + - {column: E, row: 8164, expected_value: Employee, label: employment type} + - {column: J, row: 8164, expected_value: Value, label: measure} + - {column: L, row: 8165, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8166 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8166, expected_value: E12000008, label: geography} + - {column: D, row: 8166, expected_value: Females, label: sex} + - {column: E, row: 8166, expected_value: Employee, label: employment type} + - {column: J, row: 8166, expected_value: Value, label: measure} + - {column: L, row: 8167, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8168 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8168, expected_value: E12000008, label: geography} + - {column: D, row: 8168, expected_value: Females, label: sex} + - {column: E, row: 8168, expected_value: Employee, label: employment type} + - {column: J, row: 8168, expected_value: Value, label: measure} + - {column: L, row: 8169, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8170 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8170, expected_value: E12000008, label: geography} + - {column: D, row: 8170, expected_value: Females, label: sex} + - {column: E, row: 8170, expected_value: Employee, label: employment type} + - {column: J, row: 8170, expected_value: Value, label: measure} + - {column: L, row: 8171, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8172 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8172, expected_value: E12000008, label: geography} + - {column: D, row: 8172, expected_value: Females, label: sex} + - {column: E, row: 8172, expected_value: Employee, label: employment type} + - {column: J, row: 8172, expected_value: Value, label: measure} + - {column: L, row: 8173, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8174 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8174, expected_value: E12000008, label: geography} + - {column: D, row: 8174, expected_value: Females, label: sex} + - {column: E, row: 8174, expected_value: Employee, label: employment type} + - {column: J, row: 8174, expected_value: Value, label: measure} + - {column: L, row: 8175, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8176 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8176, expected_value: E12000008, label: geography} + - {column: D, row: 8176, expected_value: Females, label: sex} + - {column: E, row: 8176, expected_value: Employee, label: employment type} + - {column: J, row: 8176, expected_value: Value, label: measure} + - {column: L, row: 8177, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8178 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8178, expected_value: E12000008, label: geography} + - {column: D, row: 8178, expected_value: Females, label: sex} + - {column: E, row: 8178, expected_value: Employee, label: employment type} + - {column: J, row: 8178, expected_value: Value, label: measure} + - {column: L, row: 8179, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8180 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8180, expected_value: E12000008, label: geography} + - {column: D, row: 8180, expected_value: Females, label: sex} + - {column: E, row: 8180, expected_value: Employee, label: employment type} + - {column: J, row: 8180, expected_value: Value, label: measure} + - {column: L, row: 8181, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8182 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8182, expected_value: E12000008, label: geography} + - {column: D, row: 8182, expected_value: Females, label: sex} + - {column: E, row: 8182, expected_value: Employee, label: employment type} + - {column: J, row: 8182, expected_value: Value, label: measure} + - {column: L, row: 8183, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8184 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8184, expected_value: E12000008, label: geography} + - {column: D, row: 8184, expected_value: Females, label: sex} + - {column: E, row: 8184, expected_value: Employee, label: employment type} + - {column: J, row: 8184, expected_value: Value, label: measure} + - {column: L, row: 8185, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8186 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8186, expected_value: E12000008, label: geography} + - {column: D, row: 8186, expected_value: Females, label: sex} + - {column: E, row: 8186, expected_value: Employee, label: employment type} + - {column: J, row: 8186, expected_value: Value, label: measure} + - {column: L, row: 8187, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8188 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8188, expected_value: E12000008, label: geography} + - {column: D, row: 8188, expected_value: Females, label: sex} + - {column: E, row: 8188, expected_value: Employee, label: employment type} + - {column: J, row: 8188, expected_value: Value, label: measure} + - {column: L, row: 8189, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8190 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8190, expected_value: E12000008, label: geography} + - {column: D, row: 8190, expected_value: Females, label: sex} + - {column: E, row: 8190, expected_value: Employee, label: employment type} + - {column: J, row: 8190, expected_value: Value, label: measure} + - {column: L, row: 8191, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8192 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8192, expected_value: E12000008, label: geography} + - {column: D, row: 8192, expected_value: Females, label: sex} + - {column: E, row: 8192, expected_value: Employee, label: employment type} + - {column: J, row: 8192, expected_value: Value, label: measure} + - {column: L, row: 8193, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8194 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8194, expected_value: E12000008, label: geography} + - {column: D, row: 8194, expected_value: Females, label: sex} + - {column: E, row: 8194, expected_value: Employee, label: employment type} + - {column: J, row: 8194, expected_value: Value, label: measure} + - {column: L, row: 8195, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8196 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8196, expected_value: E12000008, label: geography} + - {column: D, row: 8196, expected_value: Females, label: sex} + - {column: E, row: 8196, expected_value: Employee, label: employment type} + - {column: J, row: 8196, expected_value: Value, label: measure} + - {column: L, row: 8197, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8198 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8198, expected_value: E12000008, label: geography} + - {column: D, row: 8198, expected_value: Females, label: sex} + - {column: E, row: 8198, expected_value: Employee, label: employment type} + - {column: J, row: 8198, expected_value: Value, label: measure} + - {column: L, row: 8199, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8200 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8200, expected_value: E12000008, label: geography} + - {column: D, row: 8200, expected_value: Females, label: sex} + - {column: E, row: 8200, expected_value: Employee, label: employment type} + - {column: J, row: 8200, expected_value: Value, label: measure} + - {column: L, row: 8201, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8202 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8202, expected_value: E12000008, label: geography} + - {column: D, row: 8202, expected_value: Females, label: sex} + - {column: E, row: 8202, expected_value: Employee, label: employment type} + - {column: J, row: 8202, expected_value: Value, label: measure} + - {column: L, row: 8203, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8204 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8204, expected_value: E12000008, label: geography} + - {column: D, row: 8204, expected_value: Females, label: sex} + - {column: E, row: 8204, expected_value: Employee, label: employment type} + - {column: J, row: 8204, expected_value: Value, label: measure} + - {column: L, row: 8205, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8206 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8206, expected_value: E12000008, label: geography} + - {column: D, row: 8206, expected_value: Females, label: sex} + - {column: E, row: 8206, expected_value: Employee, label: employment type} + - {column: J, row: 8206, expected_value: Value, label: measure} + - {column: L, row: 8207, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8208 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8208, expected_value: E12000008, label: geography} + - {column: D, row: 8208, expected_value: Females, label: sex} + - {column: E, row: 8208, expected_value: Employee, label: employment type} + - {column: J, row: 8208, expected_value: Value, label: measure} + - {column: L, row: 8209, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8139 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8139, expected_value: E12000008, label: geography} + - {column: D, row: 8139, expected_value: Females, label: sex} + - {column: E, row: 8139, expected_value: Employee, label: employment type} + - {column: J, row: 8139, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8141 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8141, expected_value: E12000008, label: geography} + - {column: D, row: 8141, expected_value: Females, label: sex} + - {column: E, row: 8141, expected_value: Employee, label: employment type} + - {column: J, row: 8141, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8143 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8143, expected_value: E12000008, label: geography} + - {column: D, row: 8143, expected_value: Females, label: sex} + - {column: E, row: 8143, expected_value: Employee, label: employment type} + - {column: J, row: 8143, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8145 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8145, expected_value: E12000008, label: geography} + - {column: D, row: 8145, expected_value: Females, label: sex} + - {column: E, row: 8145, expected_value: Employee, label: employment type} + - {column: J, row: 8145, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8147 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8147, expected_value: E12000008, label: geography} + - {column: D, row: 8147, expected_value: Females, label: sex} + - {column: E, row: 8147, expected_value: Employee, label: employment type} + - {column: J, row: 8147, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8149 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8149, expected_value: E12000008, label: geography} + - {column: D, row: 8149, expected_value: Females, label: sex} + - {column: E, row: 8149, expected_value: Employee, label: employment type} + - {column: J, row: 8149, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8151 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8151, expected_value: E12000008, label: geography} + - {column: D, row: 8151, expected_value: Females, label: sex} + - {column: E, row: 8151, expected_value: Employee, label: employment type} + - {column: J, row: 8151, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8153 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8153, expected_value: E12000008, label: geography} + - {column: D, row: 8153, expected_value: Females, label: sex} + - {column: E, row: 8153, expected_value: Employee, label: employment type} + - {column: J, row: 8153, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8155 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8155, expected_value: E12000008, label: geography} + - {column: D, row: 8155, expected_value: Females, label: sex} + - {column: E, row: 8155, expected_value: Employee, label: employment type} + - {column: J, row: 8155, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8157 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8157, expected_value: E12000008, label: geography} + - {column: D, row: 8157, expected_value: Females, label: sex} + - {column: E, row: 8157, expected_value: Employee, label: employment type} + - {column: J, row: 8157, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8159 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8159, expected_value: E12000008, label: geography} + - {column: D, row: 8159, expected_value: Females, label: sex} + - {column: E, row: 8159, expected_value: Employee, label: employment type} + - {column: J, row: 8159, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8161 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8161, expected_value: E12000008, label: geography} + - {column: D, row: 8161, expected_value: Females, label: sex} + - {column: E, row: 8161, expected_value: Employee, label: employment type} + - {column: J, row: 8161, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8163 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8163, expected_value: E12000008, label: geography} + - {column: D, row: 8163, expected_value: Females, label: sex} + - {column: E, row: 8163, expected_value: Employee, label: employment type} + - {column: J, row: 8163, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8165 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8165, expected_value: E12000008, label: geography} + - {column: D, row: 8165, expected_value: Females, label: sex} + - {column: E, row: 8165, expected_value: Employee, label: employment type} + - {column: J, row: 8165, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8167 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8167, expected_value: E12000008, label: geography} + - {column: D, row: 8167, expected_value: Females, label: sex} + - {column: E, row: 8167, expected_value: Employee, label: employment type} + - {column: J, row: 8167, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8169 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8169, expected_value: E12000008, label: geography} + - {column: D, row: 8169, expected_value: Females, label: sex} + - {column: E, row: 8169, expected_value: Employee, label: employment type} + - {column: J, row: 8169, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8171 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8171, expected_value: E12000008, label: geography} + - {column: D, row: 8171, expected_value: Females, label: sex} + - {column: E, row: 8171, expected_value: Employee, label: employment type} + - {column: J, row: 8171, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8173 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8173, expected_value: E12000008, label: geography} + - {column: D, row: 8173, expected_value: Females, label: sex} + - {column: E, row: 8173, expected_value: Employee, label: employment type} + - {column: J, row: 8173, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8175 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8175, expected_value: E12000008, label: geography} + - {column: D, row: 8175, expected_value: Females, label: sex} + - {column: E, row: 8175, expected_value: Employee, label: employment type} + - {column: J, row: 8175, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8179 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8179, expected_value: E12000008, label: geography} + - {column: D, row: 8179, expected_value: Females, label: sex} + - {column: E, row: 8179, expected_value: Employee, label: employment type} + - {column: J, row: 8179, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8183 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8183, expected_value: E12000008, label: geography} + - {column: D, row: 8183, expected_value: Females, label: sex} + - {column: E, row: 8183, expected_value: Employee, label: employment type} + - {column: J, row: 8183, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8185 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8185, expected_value: E12000008, label: geography} + - {column: D, row: 8185, expected_value: Females, label: sex} + - {column: E, row: 8185, expected_value: Employee, label: employment type} + - {column: J, row: 8185, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8187 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8187, expected_value: E12000008, label: geography} + - {column: D, row: 8187, expected_value: Females, label: sex} + - {column: E, row: 8187, expected_value: Employee, label: employment type} + - {column: J, row: 8187, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8189 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8189, expected_value: E12000008, label: geography} + - {column: D, row: 8189, expected_value: Females, label: sex} + - {column: E, row: 8189, expected_value: Employee, label: employment type} + - {column: J, row: 8189, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8193 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8193, expected_value: E12000008, label: geography} + - {column: D, row: 8193, expected_value: Females, label: sex} + - {column: E, row: 8193, expected_value: Employee, label: employment type} + - {column: J, row: 8193, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8195 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8195, expected_value: E12000008, label: geography} + - {column: D, row: 8195, expected_value: Females, label: sex} + - {column: E, row: 8195, expected_value: Employee, label: employment type} + - {column: J, row: 8195, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8197 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8197, expected_value: E12000008, label: geography} + - {column: D, row: 8197, expected_value: Females, label: sex} + - {column: E, row: 8197, expected_value: Employee, label: employment type} + - {column: J, row: 8197, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8199 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8199, expected_value: E12000008, label: geography} + - {column: D, row: 8199, expected_value: Females, label: sex} + - {column: E, row: 8199, expected_value: Employee, label: employment type} + - {column: J, row: 8199, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8201 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8201, expected_value: E12000008, label: geography} + - {column: D, row: 8201, expected_value: Females, label: sex} + - {column: E, row: 8201, expected_value: Employee, label: employment type} + - {column: J, row: 8201, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8203 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8203, expected_value: E12000008, label: geography} + - {column: D, row: 8203, expected_value: Females, label: sex} + - {column: E, row: 8203, expected_value: Employee, label: employment type} + - {column: J, row: 8203, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8205 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8205, expected_value: E12000008, label: geography} + - {column: D, row: 8205, expected_value: Females, label: sex} + - {column: E, row: 8205, expected_value: Employee, label: employment type} + - {column: J, row: 8205, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8207 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8207, expected_value: E12000008, label: geography} + - {column: D, row: 8207, expected_value: Females, label: sex} + - {column: E, row: 8207, expected_value: Employee, label: employment type} + - {column: J, row: 8207, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8209 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8209, expected_value: E12000008, label: geography} + - {column: D, row: 8209, expected_value: Females, label: sex} + - {column: E, row: 8209, expected_value: Employee, label: employment type} + - {column: J, row: 8209, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8354 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8354, expected_value: E12000008, label: geography} + - {column: D, row: 8354, expected_value: Females, label: sex} + - {column: E, row: 8354, expected_value: Self-employed, label: employment type} + - {column: J, row: 8354, expected_value: Value, label: measure} + - {column: L, row: 8355, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8356 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8356, expected_value: E12000008, label: geography} + - {column: D, row: 8356, expected_value: Females, label: sex} + - {column: E, row: 8356, expected_value: Self-employed, label: employment type} + - {column: J, row: 8356, expected_value: Value, label: measure} + - {column: L, row: 8357, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8358 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8358, expected_value: E12000008, label: geography} + - {column: D, row: 8358, expected_value: Females, label: sex} + - {column: E, row: 8358, expected_value: Self-employed, label: employment type} + - {column: J, row: 8358, expected_value: Value, label: measure} + - {column: L, row: 8359, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8360 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8360, expected_value: E12000008, label: geography} + - {column: D, row: 8360, expected_value: Females, label: sex} + - {column: E, row: 8360, expected_value: Self-employed, label: employment type} + - {column: J, row: 8360, expected_value: Value, label: measure} + - {column: L, row: 8361, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8362 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8362, expected_value: E12000008, label: geography} + - {column: D, row: 8362, expected_value: Females, label: sex} + - {column: E, row: 8362, expected_value: Self-employed, label: employment type} + - {column: J, row: 8362, expected_value: Value, label: measure} + - {column: L, row: 8363, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8364 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8364, expected_value: E12000008, label: geography} + - {column: D, row: 8364, expected_value: Females, label: sex} + - {column: E, row: 8364, expected_value: Self-employed, label: employment type} + - {column: J, row: 8364, expected_value: Value, label: measure} + - {column: L, row: 8365, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8366 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8366, expected_value: E12000008, label: geography} + - {column: D, row: 8366, expected_value: Females, label: sex} + - {column: E, row: 8366, expected_value: Self-employed, label: employment type} + - {column: J, row: 8366, expected_value: Value, label: measure} + - {column: L, row: 8367, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8368 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8368, expected_value: E12000008, label: geography} + - {column: D, row: 8368, expected_value: Females, label: sex} + - {column: E, row: 8368, expected_value: Self-employed, label: employment type} + - {column: J, row: 8368, expected_value: Value, label: measure} + - {column: L, row: 8369, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8370 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8370, expected_value: E12000008, label: geography} + - {column: D, row: 8370, expected_value: Females, label: sex} + - {column: E, row: 8370, expected_value: Self-employed, label: employment type} + - {column: J, row: 8370, expected_value: Value, label: measure} + - {column: L, row: 8371, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8372 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8372, expected_value: E12000008, label: geography} + - {column: D, row: 8372, expected_value: Females, label: sex} + - {column: E, row: 8372, expected_value: Self-employed, label: employment type} + - {column: J, row: 8372, expected_value: Value, label: measure} + - {column: L, row: 8373, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8374 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8374, expected_value: E12000008, label: geography} + - {column: D, row: 8374, expected_value: Females, label: sex} + - {column: E, row: 8374, expected_value: Self-employed, label: employment type} + - {column: J, row: 8374, expected_value: Value, label: measure} + - {column: L, row: 8375, expected_value: F, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8376 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8376, expected_value: E12000008, label: geography} + - {column: D, row: 8376, expected_value: Females, label: sex} + - {column: E, row: 8376, expected_value: Self-employed, label: employment type} + - {column: J, row: 8376, expected_value: Value, label: measure} + - {column: L, row: 8377, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8380 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8380, expected_value: E12000008, label: geography} + - {column: D, row: 8380, expected_value: Females, label: sex} + - {column: E, row: 8380, expected_value: Self-employed, label: employment type} + - {column: J, row: 8380, expected_value: Value, label: measure} + - {column: L, row: 8381, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8382 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8382, expected_value: E12000008, label: geography} + - {column: D, row: 8382, expected_value: Females, label: sex} + - {column: E, row: 8382, expected_value: Self-employed, label: employment type} + - {column: J, row: 8382, expected_value: Value, label: measure} + - {column: L, row: 8383, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8384 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8384, expected_value: E12000008, label: geography} + - {column: D, row: 8384, expected_value: Females, label: sex} + - {column: E, row: 8384, expected_value: Self-employed, label: employment type} + - {column: J, row: 8384, expected_value: Value, label: measure} + - {column: L, row: 8385, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8386 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8386, expected_value: E12000008, label: geography} + - {column: D, row: 8386, expected_value: Females, label: sex} + - {column: E, row: 8386, expected_value: Self-employed, label: employment type} + - {column: J, row: 8386, expected_value: Value, label: measure} + - {column: L, row: 8387, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8388 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8388, expected_value: E12000008, label: geography} + - {column: D, row: 8388, expected_value: Females, label: sex} + - {column: E, row: 8388, expected_value: Self-employed, label: employment type} + - {column: J, row: 8388, expected_value: Value, label: measure} + - {column: L, row: 8389, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8390 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8390, expected_value: E12000008, label: geography} + - {column: D, row: 8390, expected_value: Females, label: sex} + - {column: E, row: 8390, expected_value: Self-employed, label: employment type} + - {column: J, row: 8390, expected_value: Value, label: measure} + - {column: L, row: 8391, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8392 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8392, expected_value: E12000008, label: geography} + - {column: D, row: 8392, expected_value: Females, label: sex} + - {column: E, row: 8392, expected_value: Self-employed, label: employment type} + - {column: J, row: 8392, expected_value: Value, label: measure} + - {column: L, row: 8393, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8396 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8396, expected_value: E12000008, label: geography} + - {column: D, row: 8396, expected_value: Females, label: sex} + - {column: E, row: 8396, expected_value: Self-employed, label: employment type} + - {column: J, row: 8396, expected_value: Value, label: measure} + - {column: L, row: 8397, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8398 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8398, expected_value: E12000008, label: geography} + - {column: D, row: 8398, expected_value: Females, label: sex} + - {column: E, row: 8398, expected_value: Self-employed, label: employment type} + - {column: J, row: 8398, expected_value: Value, label: measure} + - {column: L, row: 8399, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8400 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8400, expected_value: E12000008, label: geography} + - {column: D, row: 8400, expected_value: Females, label: sex} + - {column: E, row: 8400, expected_value: Self-employed, label: employment type} + - {column: J, row: 8400, expected_value: Value, label: measure} + - {column: L, row: 8401, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8402 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8402, expected_value: E12000008, label: geography} + - {column: D, row: 8402, expected_value: Females, label: sex} + - {column: E, row: 8402, expected_value: Self-employed, label: employment type} + - {column: J, row: 8402, expected_value: Value, label: measure} + - {column: L, row: 8403, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8404 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8404, expected_value: E12000008, label: geography} + - {column: D, row: 8404, expected_value: Females, label: sex} + - {column: E, row: 8404, expected_value: Self-employed, label: employment type} + - {column: J, row: 8404, expected_value: Value, label: measure} + - {column: L, row: 8405, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8408 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8408, expected_value: E12000008, label: geography} + - {column: D, row: 8408, expected_value: Females, label: sex} + - {column: E, row: 8408, expected_value: Self-employed, label: employment type} + - {column: J, row: 8408, expected_value: Value, label: measure} + - {column: L, row: 8409, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8410 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8410, expected_value: E12000008, label: geography} + - {column: D, row: 8410, expected_value: Females, label: sex} + - {column: E, row: 8410, expected_value: Self-employed, label: employment type} + - {column: J, row: 8410, expected_value: Value, label: measure} + - {column: L, row: 8411, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8414 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8414, expected_value: E12000008, label: geography} + - {column: D, row: 8414, expected_value: Females, label: sex} + - {column: E, row: 8414, expected_value: Self-employed, label: employment type} + - {column: J, row: 8414, expected_value: Value, label: measure} + - {column: L, row: 8415, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8416 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8416, expected_value: E12000008, label: geography} + - {column: D, row: 8416, expected_value: Females, label: sex} + - {column: E, row: 8416, expected_value: Self-employed, label: employment type} + - {column: J, row: 8416, expected_value: Value, label: measure} + - {column: L, row: 8417, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8418 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8418, expected_value: E12000008, label: geography} + - {column: D, row: 8418, expected_value: Females, label: sex} + - {column: E, row: 8418, expected_value: Self-employed, label: employment type} + - {column: J, row: 8418, expected_value: Value, label: measure} + - {column: L, row: 8419, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8420 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8420, expected_value: E12000008, label: geography} + - {column: D, row: 8420, expected_value: Females, label: sex} + - {column: E, row: 8420, expected_value: Self-employed, label: employment type} + - {column: J, row: 8420, expected_value: Value, label: measure} + - {column: L, row: 8421, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8422 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8422, expected_value: E12000008, label: geography} + - {column: D, row: 8422, expected_value: Females, label: sex} + - {column: E, row: 8422, expected_value: Self-employed, label: employment type} + - {column: J, row: 8422, expected_value: Value, label: measure} + - {column: L, row: 8423, expected_value: F, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8424 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8424, expected_value: E12000008, label: geography} + - {column: D, row: 8424, expected_value: Females, label: sex} + - {column: E, row: 8424, expected_value: Self-employed, label: employment type} + - {column: J, row: 8424, expected_value: Value, label: measure} + - {column: L, row: 8425, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000008.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000008.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000008.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000008 + geography_level: region + geography_name: South East + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8355 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8355, expected_value: E12000008, label: geography} + - {column: D, row: 8355, expected_value: Females, label: sex} + - {column: E, row: 8355, expected_value: Self-employed, label: employment type} + - {column: J, row: 8355, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8357 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8357, expected_value: E12000008, label: geography} + - {column: D, row: 8357, expected_value: Females, label: sex} + - {column: E, row: 8357, expected_value: Self-employed, label: employment type} + - {column: J, row: 8357, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8359 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8359, expected_value: E12000008, label: geography} + - {column: D, row: 8359, expected_value: Females, label: sex} + - {column: E, row: 8359, expected_value: Self-employed, label: employment type} + - {column: J, row: 8359, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8361 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8361, expected_value: E12000008, label: geography} + - {column: D, row: 8361, expected_value: Females, label: sex} + - {column: E, row: 8361, expected_value: Self-employed, label: employment type} + - {column: J, row: 8361, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8363 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8363, expected_value: E12000008, label: geography} + - {column: D, row: 8363, expected_value: Females, label: sex} + - {column: E, row: 8363, expected_value: Self-employed, label: employment type} + - {column: J, row: 8363, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8365 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8365, expected_value: E12000008, label: geography} + - {column: D, row: 8365, expected_value: Females, label: sex} + - {column: E, row: 8365, expected_value: Self-employed, label: employment type} + - {column: J, row: 8365, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8367 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8367, expected_value: E12000008, label: geography} + - {column: D, row: 8367, expected_value: Females, label: sex} + - {column: E, row: 8367, expected_value: Self-employed, label: employment type} + - {column: J, row: 8367, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8369 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8369, expected_value: E12000008, label: geography} + - {column: D, row: 8369, expected_value: Females, label: sex} + - {column: E, row: 8369, expected_value: Self-employed, label: employment type} + - {column: J, row: 8369, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8371 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8371, expected_value: E12000008, label: geography} + - {column: D, row: 8371, expected_value: Females, label: sex} + - {column: E, row: 8371, expected_value: Self-employed, label: employment type} + - {column: J, row: 8371, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8373 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8373, expected_value: E12000008, label: geography} + - {column: D, row: 8373, expected_value: Females, label: sex} + - {column: E, row: 8373, expected_value: Self-employed, label: employment type} + - {column: J, row: 8373, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8377 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8377, expected_value: E12000008, label: geography} + - {column: D, row: 8377, expected_value: Females, label: sex} + - {column: E, row: 8377, expected_value: Self-employed, label: employment type} + - {column: J, row: 8377, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8381 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8381, expected_value: E12000008, label: geography} + - {column: D, row: 8381, expected_value: Females, label: sex} + - {column: E, row: 8381, expected_value: Self-employed, label: employment type} + - {column: J, row: 8381, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8383 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8383, expected_value: E12000008, label: geography} + - {column: D, row: 8383, expected_value: Females, label: sex} + - {column: E, row: 8383, expected_value: Self-employed, label: employment type} + - {column: J, row: 8383, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8385 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8385, expected_value: E12000008, label: geography} + - {column: D, row: 8385, expected_value: Females, label: sex} + - {column: E, row: 8385, expected_value: Self-employed, label: employment type} + - {column: J, row: 8385, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8387 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8387, expected_value: E12000008, label: geography} + - {column: D, row: 8387, expected_value: Females, label: sex} + - {column: E, row: 8387, expected_value: Self-employed, label: employment type} + - {column: J, row: 8387, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8389 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8389, expected_value: E12000008, label: geography} + - {column: D, row: 8389, expected_value: Females, label: sex} + - {column: E, row: 8389, expected_value: Self-employed, label: employment type} + - {column: J, row: 8389, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8391 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8391, expected_value: E12000008, label: geography} + - {column: D, row: 8391, expected_value: Females, label: sex} + - {column: E, row: 8391, expected_value: Self-employed, label: employment type} + - {column: J, row: 8391, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8393 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8393, expected_value: E12000008, label: geography} + - {column: D, row: 8393, expected_value: Females, label: sex} + - {column: E, row: 8393, expected_value: Self-employed, label: employment type} + - {column: J, row: 8393, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8399 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8399, expected_value: E12000008, label: geography} + - {column: D, row: 8399, expected_value: Females, label: sex} + - {column: E, row: 8399, expected_value: Self-employed, label: employment type} + - {column: J, row: 8399, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8401 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8401, expected_value: E12000008, label: geography} + - {column: D, row: 8401, expected_value: Females, label: sex} + - {column: E, row: 8401, expected_value: Self-employed, label: employment type} + - {column: J, row: 8401, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8403 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8403, expected_value: E12000008, label: geography} + - {column: D, row: 8403, expected_value: Females, label: sex} + - {column: E, row: 8403, expected_value: Self-employed, label: employment type} + - {column: J, row: 8403, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8405 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8405, expected_value: E12000008, label: geography} + - {column: D, row: 8405, expected_value: Females, label: sex} + - {column: E, row: 8405, expected_value: Self-employed, label: employment type} + - {column: J, row: 8405, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8409 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8409, expected_value: E12000008, label: geography} + - {column: D, row: 8409, expected_value: Females, label: sex} + - {column: E, row: 8409, expected_value: Self-employed, label: employment type} + - {column: J, row: 8409, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8411 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8411, expected_value: E12000008, label: geography} + - {column: D, row: 8411, expected_value: Females, label: sex} + - {column: E, row: 8411, expected_value: Self-employed, label: employment type} + - {column: J, row: 8411, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8415 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8415, expected_value: E12000008, label: geography} + - {column: D, row: 8415, expected_value: Females, label: sex} + - {column: E, row: 8415, expected_value: Self-employed, label: employment type} + - {column: J, row: 8415, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8421 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8421, expected_value: E12000008, label: geography} + - {column: D, row: 8421, expected_value: Females, label: sex} + - {column: E, row: 8421, expected_value: Self-employed, label: employment type} + - {column: J, row: 8421, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8425 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8425, expected_value: E12000008, label: geography} + - {column: D, row: 8425, expected_value: Females, label: sex} + - {column: E, row: 8425, expected_value: Self-employed, label: employment type} + - {column: J, row: 8425, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8426 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8426, expected_value: E12000009, label: geography} + - {column: D, row: 8426, expected_value: All persons, label: sex} + - {column: E, row: 8426, expected_value: Total, label: employment type} + - {column: J, row: 8426, expected_value: Value, label: measure} + - {column: L, row: 8427, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8428 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8428, expected_value: E12000009, label: geography} + - {column: D, row: 8428, expected_value: All persons, label: sex} + - {column: E, row: 8428, expected_value: Total, label: employment type} + - {column: J, row: 8428, expected_value: Value, label: measure} + - {column: L, row: 8429, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8430 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8430, expected_value: E12000009, label: geography} + - {column: D, row: 8430, expected_value: All persons, label: sex} + - {column: E, row: 8430, expected_value: Total, label: employment type} + - {column: J, row: 8430, expected_value: Value, label: measure} + - {column: L, row: 8431, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8432 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8432, expected_value: E12000009, label: geography} + - {column: D, row: 8432, expected_value: All persons, label: sex} + - {column: E, row: 8432, expected_value: Total, label: employment type} + - {column: J, row: 8432, expected_value: Value, label: measure} + - {column: L, row: 8433, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8434 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8434, expected_value: E12000009, label: geography} + - {column: D, row: 8434, expected_value: All persons, label: sex} + - {column: E, row: 8434, expected_value: Total, label: employment type} + - {column: J, row: 8434, expected_value: Value, label: measure} + - {column: L, row: 8435, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8436 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8436, expected_value: E12000009, label: geography} + - {column: D, row: 8436, expected_value: All persons, label: sex} + - {column: E, row: 8436, expected_value: Total, label: employment type} + - {column: J, row: 8436, expected_value: Value, label: measure} + - {column: L, row: 8437, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8438 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8438, expected_value: E12000009, label: geography} + - {column: D, row: 8438, expected_value: All persons, label: sex} + - {column: E, row: 8438, expected_value: Total, label: employment type} + - {column: J, row: 8438, expected_value: Value, label: measure} + - {column: L, row: 8439, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8440 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8440, expected_value: E12000009, label: geography} + - {column: D, row: 8440, expected_value: All persons, label: sex} + - {column: E, row: 8440, expected_value: Total, label: employment type} + - {column: J, row: 8440, expected_value: Value, label: measure} + - {column: L, row: 8441, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8442 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8442, expected_value: E12000009, label: geography} + - {column: D, row: 8442, expected_value: All persons, label: sex} + - {column: E, row: 8442, expected_value: Total, label: employment type} + - {column: J, row: 8442, expected_value: Value, label: measure} + - {column: L, row: 8443, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8444 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8444, expected_value: E12000009, label: geography} + - {column: D, row: 8444, expected_value: All persons, label: sex} + - {column: E, row: 8444, expected_value: Total, label: employment type} + - {column: J, row: 8444, expected_value: Value, label: measure} + - {column: L, row: 8445, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8446 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8446, expected_value: E12000009, label: geography} + - {column: D, row: 8446, expected_value: All persons, label: sex} + - {column: E, row: 8446, expected_value: Total, label: employment type} + - {column: J, row: 8446, expected_value: Value, label: measure} + - {column: L, row: 8447, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8448 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8448, expected_value: E12000009, label: geography} + - {column: D, row: 8448, expected_value: All persons, label: sex} + - {column: E, row: 8448, expected_value: Total, label: employment type} + - {column: J, row: 8448, expected_value: Value, label: measure} + - {column: L, row: 8449, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8450 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8450, expected_value: E12000009, label: geography} + - {column: D, row: 8450, expected_value: All persons, label: sex} + - {column: E, row: 8450, expected_value: Total, label: employment type} + - {column: J, row: 8450, expected_value: Value, label: measure} + - {column: L, row: 8451, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8452 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8452, expected_value: E12000009, label: geography} + - {column: D, row: 8452, expected_value: All persons, label: sex} + - {column: E, row: 8452, expected_value: Total, label: employment type} + - {column: J, row: 8452, expected_value: Value, label: measure} + - {column: L, row: 8453, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8454 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8454, expected_value: E12000009, label: geography} + - {column: D, row: 8454, expected_value: All persons, label: sex} + - {column: E, row: 8454, expected_value: Total, label: employment type} + - {column: J, row: 8454, expected_value: Value, label: measure} + - {column: L, row: 8455, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8456 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8456, expected_value: E12000009, label: geography} + - {column: D, row: 8456, expected_value: All persons, label: sex} + - {column: E, row: 8456, expected_value: Total, label: employment type} + - {column: J, row: 8456, expected_value: Value, label: measure} + - {column: L, row: 8457, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8458 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8458, expected_value: E12000009, label: geography} + - {column: D, row: 8458, expected_value: All persons, label: sex} + - {column: E, row: 8458, expected_value: Total, label: employment type} + - {column: J, row: 8458, expected_value: Value, label: measure} + - {column: L, row: 8459, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8460 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8460, expected_value: E12000009, label: geography} + - {column: D, row: 8460, expected_value: All persons, label: sex} + - {column: E, row: 8460, expected_value: Total, label: employment type} + - {column: J, row: 8460, expected_value: Value, label: measure} + - {column: L, row: 8461, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8462 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8462, expected_value: E12000009, label: geography} + - {column: D, row: 8462, expected_value: All persons, label: sex} + - {column: E, row: 8462, expected_value: Total, label: employment type} + - {column: J, row: 8462, expected_value: Value, label: measure} + - {column: L, row: 8463, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8464 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8464, expected_value: E12000009, label: geography} + - {column: D, row: 8464, expected_value: All persons, label: sex} + - {column: E, row: 8464, expected_value: Total, label: employment type} + - {column: J, row: 8464, expected_value: Value, label: measure} + - {column: L, row: 8465, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8466 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8466, expected_value: E12000009, label: geography} + - {column: D, row: 8466, expected_value: All persons, label: sex} + - {column: E, row: 8466, expected_value: Total, label: employment type} + - {column: J, row: 8466, expected_value: Value, label: measure} + - {column: L, row: 8467, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8468 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8468, expected_value: E12000009, label: geography} + - {column: D, row: 8468, expected_value: All persons, label: sex} + - {column: E, row: 8468, expected_value: Total, label: employment type} + - {column: J, row: 8468, expected_value: Value, label: measure} + - {column: L, row: 8469, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8470 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8470, expected_value: E12000009, label: geography} + - {column: D, row: 8470, expected_value: All persons, label: sex} + - {column: E, row: 8470, expected_value: Total, label: employment type} + - {column: J, row: 8470, expected_value: Value, label: measure} + - {column: L, row: 8471, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8472 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8472, expected_value: E12000009, label: geography} + - {column: D, row: 8472, expected_value: All persons, label: sex} + - {column: E, row: 8472, expected_value: Total, label: employment type} + - {column: J, row: 8472, expected_value: Value, label: measure} + - {column: L, row: 8473, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8474 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8474, expected_value: E12000009, label: geography} + - {column: D, row: 8474, expected_value: All persons, label: sex} + - {column: E, row: 8474, expected_value: Total, label: employment type} + - {column: J, row: 8474, expected_value: Value, label: measure} + - {column: L, row: 8475, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8476 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8476, expected_value: E12000009, label: geography} + - {column: D, row: 8476, expected_value: All persons, label: sex} + - {column: E, row: 8476, expected_value: Total, label: employment type} + - {column: J, row: 8476, expected_value: Value, label: measure} + - {column: L, row: 8477, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8478 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8478, expected_value: E12000009, label: geography} + - {column: D, row: 8478, expected_value: All persons, label: sex} + - {column: E, row: 8478, expected_value: Total, label: employment type} + - {column: J, row: 8478, expected_value: Value, label: measure} + - {column: L, row: 8479, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8480 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8480, expected_value: E12000009, label: geography} + - {column: D, row: 8480, expected_value: All persons, label: sex} + - {column: E, row: 8480, expected_value: Total, label: employment type} + - {column: J, row: 8480, expected_value: Value, label: measure} + - {column: L, row: 8481, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8482 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8482, expected_value: E12000009, label: geography} + - {column: D, row: 8482, expected_value: All persons, label: sex} + - {column: E, row: 8482, expected_value: Total, label: employment type} + - {column: J, row: 8482, expected_value: Value, label: measure} + - {column: L, row: 8483, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8484 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8484, expected_value: E12000009, label: geography} + - {column: D, row: 8484, expected_value: All persons, label: sex} + - {column: E, row: 8484, expected_value: Total, label: employment type} + - {column: J, row: 8484, expected_value: Value, label: measure} + - {column: L, row: 8485, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8486 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8486, expected_value: E12000009, label: geography} + - {column: D, row: 8486, expected_value: All persons, label: sex} + - {column: E, row: 8486, expected_value: Total, label: employment type} + - {column: J, row: 8486, expected_value: Value, label: measure} + - {column: L, row: 8487, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8488 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8488, expected_value: E12000009, label: geography} + - {column: D, row: 8488, expected_value: All persons, label: sex} + - {column: E, row: 8488, expected_value: Total, label: employment type} + - {column: J, row: 8488, expected_value: Value, label: measure} + - {column: L, row: 8489, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8490 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8490, expected_value: E12000009, label: geography} + - {column: D, row: 8490, expected_value: All persons, label: sex} + - {column: E, row: 8490, expected_value: Total, label: employment type} + - {column: J, row: 8490, expected_value: Value, label: measure} + - {column: L, row: 8491, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8492 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8492, expected_value: E12000009, label: geography} + - {column: D, row: 8492, expected_value: All persons, label: sex} + - {column: E, row: 8492, expected_value: Total, label: employment type} + - {column: J, row: 8492, expected_value: Value, label: measure} + - {column: L, row: 8493, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8494 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8494, expected_value: E12000009, label: geography} + - {column: D, row: 8494, expected_value: All persons, label: sex} + - {column: E, row: 8494, expected_value: Total, label: employment type} + - {column: J, row: 8494, expected_value: Value, label: measure} + - {column: L, row: 8495, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8496 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8496, expected_value: E12000009, label: geography} + - {column: D, row: 8496, expected_value: All persons, label: sex} + - {column: E, row: 8496, expected_value: Total, label: employment type} + - {column: J, row: 8496, expected_value: Value, label: measure} + - {column: L, row: 8497, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8427 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8427, expected_value: E12000009, label: geography} + - {column: D, row: 8427, expected_value: All persons, label: sex} + - {column: E, row: 8427, expected_value: Total, label: employment type} + - {column: J, row: 8427, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8429 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8429, expected_value: E12000009, label: geography} + - {column: D, row: 8429, expected_value: All persons, label: sex} + - {column: E, row: 8429, expected_value: Total, label: employment type} + - {column: J, row: 8429, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8431 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8431, expected_value: E12000009, label: geography} + - {column: D, row: 8431, expected_value: All persons, label: sex} + - {column: E, row: 8431, expected_value: Total, label: employment type} + - {column: J, row: 8431, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8433 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8433, expected_value: E12000009, label: geography} + - {column: D, row: 8433, expected_value: All persons, label: sex} + - {column: E, row: 8433, expected_value: Total, label: employment type} + - {column: J, row: 8433, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8435 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8435, expected_value: E12000009, label: geography} + - {column: D, row: 8435, expected_value: All persons, label: sex} + - {column: E, row: 8435, expected_value: Total, label: employment type} + - {column: J, row: 8435, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8437 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8437, expected_value: E12000009, label: geography} + - {column: D, row: 8437, expected_value: All persons, label: sex} + - {column: E, row: 8437, expected_value: Total, label: employment type} + - {column: J, row: 8437, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8439 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8439, expected_value: E12000009, label: geography} + - {column: D, row: 8439, expected_value: All persons, label: sex} + - {column: E, row: 8439, expected_value: Total, label: employment type} + - {column: J, row: 8439, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8441 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8441, expected_value: E12000009, label: geography} + - {column: D, row: 8441, expected_value: All persons, label: sex} + - {column: E, row: 8441, expected_value: Total, label: employment type} + - {column: J, row: 8441, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8443 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8443, expected_value: E12000009, label: geography} + - {column: D, row: 8443, expected_value: All persons, label: sex} + - {column: E, row: 8443, expected_value: Total, label: employment type} + - {column: J, row: 8443, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8445 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8445, expected_value: E12000009, label: geography} + - {column: D, row: 8445, expected_value: All persons, label: sex} + - {column: E, row: 8445, expected_value: Total, label: employment type} + - {column: J, row: 8445, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8447 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8447, expected_value: E12000009, label: geography} + - {column: D, row: 8447, expected_value: All persons, label: sex} + - {column: E, row: 8447, expected_value: Total, label: employment type} + - {column: J, row: 8447, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8449 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8449, expected_value: E12000009, label: geography} + - {column: D, row: 8449, expected_value: All persons, label: sex} + - {column: E, row: 8449, expected_value: Total, label: employment type} + - {column: J, row: 8449, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8451 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8451, expected_value: E12000009, label: geography} + - {column: D, row: 8451, expected_value: All persons, label: sex} + - {column: E, row: 8451, expected_value: Total, label: employment type} + - {column: J, row: 8451, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8453 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8453, expected_value: E12000009, label: geography} + - {column: D, row: 8453, expected_value: All persons, label: sex} + - {column: E, row: 8453, expected_value: Total, label: employment type} + - {column: J, row: 8453, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8455 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8455, expected_value: E12000009, label: geography} + - {column: D, row: 8455, expected_value: All persons, label: sex} + - {column: E, row: 8455, expected_value: Total, label: employment type} + - {column: J, row: 8455, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8457 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8457, expected_value: E12000009, label: geography} + - {column: D, row: 8457, expected_value: All persons, label: sex} + - {column: E, row: 8457, expected_value: Total, label: employment type} + - {column: J, row: 8457, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8459 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8459, expected_value: E12000009, label: geography} + - {column: D, row: 8459, expected_value: All persons, label: sex} + - {column: E, row: 8459, expected_value: Total, label: employment type} + - {column: J, row: 8459, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8461 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8461, expected_value: E12000009, label: geography} + - {column: D, row: 8461, expected_value: All persons, label: sex} + - {column: E, row: 8461, expected_value: Total, label: employment type} + - {column: J, row: 8461, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8463 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8463, expected_value: E12000009, label: geography} + - {column: D, row: 8463, expected_value: All persons, label: sex} + - {column: E, row: 8463, expected_value: Total, label: employment type} + - {column: J, row: 8463, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8465 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8465, expected_value: E12000009, label: geography} + - {column: D, row: 8465, expected_value: All persons, label: sex} + - {column: E, row: 8465, expected_value: Total, label: employment type} + - {column: J, row: 8465, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8467 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8467, expected_value: E12000009, label: geography} + - {column: D, row: 8467, expected_value: All persons, label: sex} + - {column: E, row: 8467, expected_value: Total, label: employment type} + - {column: J, row: 8467, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8469 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8469, expected_value: E12000009, label: geography} + - {column: D, row: 8469, expected_value: All persons, label: sex} + - {column: E, row: 8469, expected_value: Total, label: employment type} + - {column: J, row: 8469, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8471 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8471, expected_value: E12000009, label: geography} + - {column: D, row: 8471, expected_value: All persons, label: sex} + - {column: E, row: 8471, expected_value: Total, label: employment type} + - {column: J, row: 8471, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8473 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8473, expected_value: E12000009, label: geography} + - {column: D, row: 8473, expected_value: All persons, label: sex} + - {column: E, row: 8473, expected_value: Total, label: employment type} + - {column: J, row: 8473, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8475 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8475, expected_value: E12000009, label: geography} + - {column: D, row: 8475, expected_value: All persons, label: sex} + - {column: E, row: 8475, expected_value: Total, label: employment type} + - {column: J, row: 8475, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8477 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8477, expected_value: E12000009, label: geography} + - {column: D, row: 8477, expected_value: All persons, label: sex} + - {column: E, row: 8477, expected_value: Total, label: employment type} + - {column: J, row: 8477, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8481 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8481, expected_value: E12000009, label: geography} + - {column: D, row: 8481, expected_value: All persons, label: sex} + - {column: E, row: 8481, expected_value: Total, label: employment type} + - {column: J, row: 8481, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8483 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8483, expected_value: E12000009, label: geography} + - {column: D, row: 8483, expected_value: All persons, label: sex} + - {column: E, row: 8483, expected_value: Total, label: employment type} + - {column: J, row: 8483, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8485 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8485, expected_value: E12000009, label: geography} + - {column: D, row: 8485, expected_value: All persons, label: sex} + - {column: E, row: 8485, expected_value: Total, label: employment type} + - {column: J, row: 8485, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8487 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8487, expected_value: E12000009, label: geography} + - {column: D, row: 8487, expected_value: All persons, label: sex} + - {column: E, row: 8487, expected_value: Total, label: employment type} + - {column: J, row: 8487, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8489 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8489, expected_value: E12000009, label: geography} + - {column: D, row: 8489, expected_value: All persons, label: sex} + - {column: E, row: 8489, expected_value: Total, label: employment type} + - {column: J, row: 8489, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8491 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8491, expected_value: E12000009, label: geography} + - {column: D, row: 8491, expected_value: All persons, label: sex} + - {column: E, row: 8491, expected_value: Total, label: employment type} + - {column: J, row: 8491, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8493 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8493, expected_value: E12000009, label: geography} + - {column: D, row: 8493, expected_value: All persons, label: sex} + - {column: E, row: 8493, expected_value: Total, label: employment type} + - {column: J, row: 8493, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8495 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8495, expected_value: E12000009, label: geography} + - {column: D, row: 8495, expected_value: All persons, label: sex} + - {column: E, row: 8495, expected_value: Total, label: employment type} + - {column: J, row: 8495, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8497 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8497, expected_value: E12000009, label: geography} + - {column: D, row: 8497, expected_value: All persons, label: sex} + - {column: E, row: 8497, expected_value: Total, label: employment type} + - {column: J, row: 8497, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8642 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8642, expected_value: E12000009, label: geography} + - {column: D, row: 8642, expected_value: All persons, label: sex} + - {column: E, row: 8642, expected_value: Employee, label: employment type} + - {column: J, row: 8642, expected_value: Value, label: measure} + - {column: L, row: 8643, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8644 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8644, expected_value: E12000009, label: geography} + - {column: D, row: 8644, expected_value: All persons, label: sex} + - {column: E, row: 8644, expected_value: Employee, label: employment type} + - {column: J, row: 8644, expected_value: Value, label: measure} + - {column: L, row: 8645, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8646 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8646, expected_value: E12000009, label: geography} + - {column: D, row: 8646, expected_value: All persons, label: sex} + - {column: E, row: 8646, expected_value: Employee, label: employment type} + - {column: J, row: 8646, expected_value: Value, label: measure} + - {column: L, row: 8647, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8648 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8648, expected_value: E12000009, label: geography} + - {column: D, row: 8648, expected_value: All persons, label: sex} + - {column: E, row: 8648, expected_value: Employee, label: employment type} + - {column: J, row: 8648, expected_value: Value, label: measure} + - {column: L, row: 8649, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8650 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8650, expected_value: E12000009, label: geography} + - {column: D, row: 8650, expected_value: All persons, label: sex} + - {column: E, row: 8650, expected_value: Employee, label: employment type} + - {column: J, row: 8650, expected_value: Value, label: measure} + - {column: L, row: 8651, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8652 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8652, expected_value: E12000009, label: geography} + - {column: D, row: 8652, expected_value: All persons, label: sex} + - {column: E, row: 8652, expected_value: Employee, label: employment type} + - {column: J, row: 8652, expected_value: Value, label: measure} + - {column: L, row: 8653, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8654 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8654, expected_value: E12000009, label: geography} + - {column: D, row: 8654, expected_value: All persons, label: sex} + - {column: E, row: 8654, expected_value: Employee, label: employment type} + - {column: J, row: 8654, expected_value: Value, label: measure} + - {column: L, row: 8655, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8656 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8656, expected_value: E12000009, label: geography} + - {column: D, row: 8656, expected_value: All persons, label: sex} + - {column: E, row: 8656, expected_value: Employee, label: employment type} + - {column: J, row: 8656, expected_value: Value, label: measure} + - {column: L, row: 8657, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8658 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8658, expected_value: E12000009, label: geography} + - {column: D, row: 8658, expected_value: All persons, label: sex} + - {column: E, row: 8658, expected_value: Employee, label: employment type} + - {column: J, row: 8658, expected_value: Value, label: measure} + - {column: L, row: 8659, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8660 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8660, expected_value: E12000009, label: geography} + - {column: D, row: 8660, expected_value: All persons, label: sex} + - {column: E, row: 8660, expected_value: Employee, label: employment type} + - {column: J, row: 8660, expected_value: Value, label: measure} + - {column: L, row: 8661, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8662 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8662, expected_value: E12000009, label: geography} + - {column: D, row: 8662, expected_value: All persons, label: sex} + - {column: E, row: 8662, expected_value: Employee, label: employment type} + - {column: J, row: 8662, expected_value: Value, label: measure} + - {column: L, row: 8663, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8664 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8664, expected_value: E12000009, label: geography} + - {column: D, row: 8664, expected_value: All persons, label: sex} + - {column: E, row: 8664, expected_value: Employee, label: employment type} + - {column: J, row: 8664, expected_value: Value, label: measure} + - {column: L, row: 8665, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8666 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8666, expected_value: E12000009, label: geography} + - {column: D, row: 8666, expected_value: All persons, label: sex} + - {column: E, row: 8666, expected_value: Employee, label: employment type} + - {column: J, row: 8666, expected_value: Value, label: measure} + - {column: L, row: 8667, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8668 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8668, expected_value: E12000009, label: geography} + - {column: D, row: 8668, expected_value: All persons, label: sex} + - {column: E, row: 8668, expected_value: Employee, label: employment type} + - {column: J, row: 8668, expected_value: Value, label: measure} + - {column: L, row: 8669, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8670 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8670, expected_value: E12000009, label: geography} + - {column: D, row: 8670, expected_value: All persons, label: sex} + - {column: E, row: 8670, expected_value: Employee, label: employment type} + - {column: J, row: 8670, expected_value: Value, label: measure} + - {column: L, row: 8671, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8672 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8672, expected_value: E12000009, label: geography} + - {column: D, row: 8672, expected_value: All persons, label: sex} + - {column: E, row: 8672, expected_value: Employee, label: employment type} + - {column: J, row: 8672, expected_value: Value, label: measure} + - {column: L, row: 8673, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8674 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8674, expected_value: E12000009, label: geography} + - {column: D, row: 8674, expected_value: All persons, label: sex} + - {column: E, row: 8674, expected_value: Employee, label: employment type} + - {column: J, row: 8674, expected_value: Value, label: measure} + - {column: L, row: 8675, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8676 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8676, expected_value: E12000009, label: geography} + - {column: D, row: 8676, expected_value: All persons, label: sex} + - {column: E, row: 8676, expected_value: Employee, label: employment type} + - {column: J, row: 8676, expected_value: Value, label: measure} + - {column: L, row: 8677, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8678 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8678, expected_value: E12000009, label: geography} + - {column: D, row: 8678, expected_value: All persons, label: sex} + - {column: E, row: 8678, expected_value: Employee, label: employment type} + - {column: J, row: 8678, expected_value: Value, label: measure} + - {column: L, row: 8679, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8680 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8680, expected_value: E12000009, label: geography} + - {column: D, row: 8680, expected_value: All persons, label: sex} + - {column: E, row: 8680, expected_value: Employee, label: employment type} + - {column: J, row: 8680, expected_value: Value, label: measure} + - {column: L, row: 8681, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8682 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8682, expected_value: E12000009, label: geography} + - {column: D, row: 8682, expected_value: All persons, label: sex} + - {column: E, row: 8682, expected_value: Employee, label: employment type} + - {column: J, row: 8682, expected_value: Value, label: measure} + - {column: L, row: 8683, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8684 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8684, expected_value: E12000009, label: geography} + - {column: D, row: 8684, expected_value: All persons, label: sex} + - {column: E, row: 8684, expected_value: Employee, label: employment type} + - {column: J, row: 8684, expected_value: Value, label: measure} + - {column: L, row: 8685, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8686 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8686, expected_value: E12000009, label: geography} + - {column: D, row: 8686, expected_value: All persons, label: sex} + - {column: E, row: 8686, expected_value: Employee, label: employment type} + - {column: J, row: 8686, expected_value: Value, label: measure} + - {column: L, row: 8687, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8688 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8688, expected_value: E12000009, label: geography} + - {column: D, row: 8688, expected_value: All persons, label: sex} + - {column: E, row: 8688, expected_value: Employee, label: employment type} + - {column: J, row: 8688, expected_value: Value, label: measure} + - {column: L, row: 8689, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8690 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8690, expected_value: E12000009, label: geography} + - {column: D, row: 8690, expected_value: All persons, label: sex} + - {column: E, row: 8690, expected_value: Employee, label: employment type} + - {column: J, row: 8690, expected_value: Value, label: measure} + - {column: L, row: 8691, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8692 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8692, expected_value: E12000009, label: geography} + - {column: D, row: 8692, expected_value: All persons, label: sex} + - {column: E, row: 8692, expected_value: Employee, label: employment type} + - {column: J, row: 8692, expected_value: Value, label: measure} + - {column: L, row: 8693, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8694 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8694, expected_value: E12000009, label: geography} + - {column: D, row: 8694, expected_value: All persons, label: sex} + - {column: E, row: 8694, expected_value: Employee, label: employment type} + - {column: J, row: 8694, expected_value: Value, label: measure} + - {column: L, row: 8695, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8696 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8696, expected_value: E12000009, label: geography} + - {column: D, row: 8696, expected_value: All persons, label: sex} + - {column: E, row: 8696, expected_value: Employee, label: employment type} + - {column: J, row: 8696, expected_value: Value, label: measure} + - {column: L, row: 8697, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8698 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8698, expected_value: E12000009, label: geography} + - {column: D, row: 8698, expected_value: All persons, label: sex} + - {column: E, row: 8698, expected_value: Employee, label: employment type} + - {column: J, row: 8698, expected_value: Value, label: measure} + - {column: L, row: 8699, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8700 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8700, expected_value: E12000009, label: geography} + - {column: D, row: 8700, expected_value: All persons, label: sex} + - {column: E, row: 8700, expected_value: Employee, label: employment type} + - {column: J, row: 8700, expected_value: Value, label: measure} + - {column: L, row: 8701, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8702 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8702, expected_value: E12000009, label: geography} + - {column: D, row: 8702, expected_value: All persons, label: sex} + - {column: E, row: 8702, expected_value: Employee, label: employment type} + - {column: J, row: 8702, expected_value: Value, label: measure} + - {column: L, row: 8703, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8704 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8704, expected_value: E12000009, label: geography} + - {column: D, row: 8704, expected_value: All persons, label: sex} + - {column: E, row: 8704, expected_value: Employee, label: employment type} + - {column: J, row: 8704, expected_value: Value, label: measure} + - {column: L, row: 8705, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8706 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8706, expected_value: E12000009, label: geography} + - {column: D, row: 8706, expected_value: All persons, label: sex} + - {column: E, row: 8706, expected_value: Employee, label: employment type} + - {column: J, row: 8706, expected_value: Value, label: measure} + - {column: L, row: 8707, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8708 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8708, expected_value: E12000009, label: geography} + - {column: D, row: 8708, expected_value: All persons, label: sex} + - {column: E, row: 8708, expected_value: Employee, label: employment type} + - {column: J, row: 8708, expected_value: Value, label: measure} + - {column: L, row: 8709, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8710 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8710, expected_value: E12000009, label: geography} + - {column: D, row: 8710, expected_value: All persons, label: sex} + - {column: E, row: 8710, expected_value: Employee, label: employment type} + - {column: J, row: 8710, expected_value: Value, label: measure} + - {column: L, row: 8711, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8712 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8712, expected_value: E12000009, label: geography} + - {column: D, row: 8712, expected_value: All persons, label: sex} + - {column: E, row: 8712, expected_value: Employee, label: employment type} + - {column: J, row: 8712, expected_value: Value, label: measure} + - {column: L, row: 8713, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8643 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8643, expected_value: E12000009, label: geography} + - {column: D, row: 8643, expected_value: All persons, label: sex} + - {column: E, row: 8643, expected_value: Employee, label: employment type} + - {column: J, row: 8643, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8645 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8645, expected_value: E12000009, label: geography} + - {column: D, row: 8645, expected_value: All persons, label: sex} + - {column: E, row: 8645, expected_value: Employee, label: employment type} + - {column: J, row: 8645, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8647 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8647, expected_value: E12000009, label: geography} + - {column: D, row: 8647, expected_value: All persons, label: sex} + - {column: E, row: 8647, expected_value: Employee, label: employment type} + - {column: J, row: 8647, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8649 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8649, expected_value: E12000009, label: geography} + - {column: D, row: 8649, expected_value: All persons, label: sex} + - {column: E, row: 8649, expected_value: Employee, label: employment type} + - {column: J, row: 8649, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8651 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8651, expected_value: E12000009, label: geography} + - {column: D, row: 8651, expected_value: All persons, label: sex} + - {column: E, row: 8651, expected_value: Employee, label: employment type} + - {column: J, row: 8651, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8653 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8653, expected_value: E12000009, label: geography} + - {column: D, row: 8653, expected_value: All persons, label: sex} + - {column: E, row: 8653, expected_value: Employee, label: employment type} + - {column: J, row: 8653, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8655 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8655, expected_value: E12000009, label: geography} + - {column: D, row: 8655, expected_value: All persons, label: sex} + - {column: E, row: 8655, expected_value: Employee, label: employment type} + - {column: J, row: 8655, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8657 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8657, expected_value: E12000009, label: geography} + - {column: D, row: 8657, expected_value: All persons, label: sex} + - {column: E, row: 8657, expected_value: Employee, label: employment type} + - {column: J, row: 8657, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8659 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8659, expected_value: E12000009, label: geography} + - {column: D, row: 8659, expected_value: All persons, label: sex} + - {column: E, row: 8659, expected_value: Employee, label: employment type} + - {column: J, row: 8659, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8661 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8661, expected_value: E12000009, label: geography} + - {column: D, row: 8661, expected_value: All persons, label: sex} + - {column: E, row: 8661, expected_value: Employee, label: employment type} + - {column: J, row: 8661, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8663 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8663, expected_value: E12000009, label: geography} + - {column: D, row: 8663, expected_value: All persons, label: sex} + - {column: E, row: 8663, expected_value: Employee, label: employment type} + - {column: J, row: 8663, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8665 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8665, expected_value: E12000009, label: geography} + - {column: D, row: 8665, expected_value: All persons, label: sex} + - {column: E, row: 8665, expected_value: Employee, label: employment type} + - {column: J, row: 8665, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8667 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8667, expected_value: E12000009, label: geography} + - {column: D, row: 8667, expected_value: All persons, label: sex} + - {column: E, row: 8667, expected_value: Employee, label: employment type} + - {column: J, row: 8667, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8669 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8669, expected_value: E12000009, label: geography} + - {column: D, row: 8669, expected_value: All persons, label: sex} + - {column: E, row: 8669, expected_value: Employee, label: employment type} + - {column: J, row: 8669, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8671 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8671, expected_value: E12000009, label: geography} + - {column: D, row: 8671, expected_value: All persons, label: sex} + - {column: E, row: 8671, expected_value: Employee, label: employment type} + - {column: J, row: 8671, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8673 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8673, expected_value: E12000009, label: geography} + - {column: D, row: 8673, expected_value: All persons, label: sex} + - {column: E, row: 8673, expected_value: Employee, label: employment type} + - {column: J, row: 8673, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8675 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8675, expected_value: E12000009, label: geography} + - {column: D, row: 8675, expected_value: All persons, label: sex} + - {column: E, row: 8675, expected_value: Employee, label: employment type} + - {column: J, row: 8675, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8677 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8677, expected_value: E12000009, label: geography} + - {column: D, row: 8677, expected_value: All persons, label: sex} + - {column: E, row: 8677, expected_value: Employee, label: employment type} + - {column: J, row: 8677, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8679 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8679, expected_value: E12000009, label: geography} + - {column: D, row: 8679, expected_value: All persons, label: sex} + - {column: E, row: 8679, expected_value: Employee, label: employment type} + - {column: J, row: 8679, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8681 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8681, expected_value: E12000009, label: geography} + - {column: D, row: 8681, expected_value: All persons, label: sex} + - {column: E, row: 8681, expected_value: Employee, label: employment type} + - {column: J, row: 8681, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8683 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8683, expected_value: E12000009, label: geography} + - {column: D, row: 8683, expected_value: All persons, label: sex} + - {column: E, row: 8683, expected_value: Employee, label: employment type} + - {column: J, row: 8683, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8685 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8685, expected_value: E12000009, label: geography} + - {column: D, row: 8685, expected_value: All persons, label: sex} + - {column: E, row: 8685, expected_value: Employee, label: employment type} + - {column: J, row: 8685, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8687 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8687, expected_value: E12000009, label: geography} + - {column: D, row: 8687, expected_value: All persons, label: sex} + - {column: E, row: 8687, expected_value: Employee, label: employment type} + - {column: J, row: 8687, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8689 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8689, expected_value: E12000009, label: geography} + - {column: D, row: 8689, expected_value: All persons, label: sex} + - {column: E, row: 8689, expected_value: Employee, label: employment type} + - {column: J, row: 8689, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8691 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8691, expected_value: E12000009, label: geography} + - {column: D, row: 8691, expected_value: All persons, label: sex} + - {column: E, row: 8691, expected_value: Employee, label: employment type} + - {column: J, row: 8691, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8693 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8693, expected_value: E12000009, label: geography} + - {column: D, row: 8693, expected_value: All persons, label: sex} + - {column: E, row: 8693, expected_value: Employee, label: employment type} + - {column: J, row: 8693, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8697 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8697, expected_value: E12000009, label: geography} + - {column: D, row: 8697, expected_value: All persons, label: sex} + - {column: E, row: 8697, expected_value: Employee, label: employment type} + - {column: J, row: 8697, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8699 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8699, expected_value: E12000009, label: geography} + - {column: D, row: 8699, expected_value: All persons, label: sex} + - {column: E, row: 8699, expected_value: Employee, label: employment type} + - {column: J, row: 8699, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8701 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8701, expected_value: E12000009, label: geography} + - {column: D, row: 8701, expected_value: All persons, label: sex} + - {column: E, row: 8701, expected_value: Employee, label: employment type} + - {column: J, row: 8701, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8703 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8703, expected_value: E12000009, label: geography} + - {column: D, row: 8703, expected_value: All persons, label: sex} + - {column: E, row: 8703, expected_value: Employee, label: employment type} + - {column: J, row: 8703, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8705 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8705, expected_value: E12000009, label: geography} + - {column: D, row: 8705, expected_value: All persons, label: sex} + - {column: E, row: 8705, expected_value: Employee, label: employment type} + - {column: J, row: 8705, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8707 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8707, expected_value: E12000009, label: geography} + - {column: D, row: 8707, expected_value: All persons, label: sex} + - {column: E, row: 8707, expected_value: Employee, label: employment type} + - {column: J, row: 8707, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8709 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8709, expected_value: E12000009, label: geography} + - {column: D, row: 8709, expected_value: All persons, label: sex} + - {column: E, row: 8709, expected_value: Employee, label: employment type} + - {column: J, row: 8709, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8711 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8711, expected_value: E12000009, label: geography} + - {column: D, row: 8711, expected_value: All persons, label: sex} + - {column: E, row: 8711, expected_value: Employee, label: employment type} + - {column: J, row: 8711, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8713 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8713, expected_value: E12000009, label: geography} + - {column: D, row: 8713, expected_value: All persons, label: sex} + - {column: E, row: 8713, expected_value: Employee, label: employment type} + - {column: J, row: 8713, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8858 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8858, expected_value: E12000009, label: geography} + - {column: D, row: 8858, expected_value: All persons, label: sex} + - {column: E, row: 8858, expected_value: Self-employed, label: employment type} + - {column: J, row: 8858, expected_value: Value, label: measure} + - {column: L, row: 8859, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8860 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8860, expected_value: E12000009, label: geography} + - {column: D, row: 8860, expected_value: All persons, label: sex} + - {column: E, row: 8860, expected_value: Self-employed, label: employment type} + - {column: J, row: 8860, expected_value: Value, label: measure} + - {column: L, row: 8861, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8862 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8862, expected_value: E12000009, label: geography} + - {column: D, row: 8862, expected_value: All persons, label: sex} + - {column: E, row: 8862, expected_value: Self-employed, label: employment type} + - {column: J, row: 8862, expected_value: Value, label: measure} + - {column: L, row: 8863, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8864 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8864, expected_value: E12000009, label: geography} + - {column: D, row: 8864, expected_value: All persons, label: sex} + - {column: E, row: 8864, expected_value: Self-employed, label: employment type} + - {column: J, row: 8864, expected_value: Value, label: measure} + - {column: L, row: 8865, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8866 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8866, expected_value: E12000009, label: geography} + - {column: D, row: 8866, expected_value: All persons, label: sex} + - {column: E, row: 8866, expected_value: Self-employed, label: employment type} + - {column: J, row: 8866, expected_value: Value, label: measure} + - {column: L, row: 8867, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8868 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8868, expected_value: E12000009, label: geography} + - {column: D, row: 8868, expected_value: All persons, label: sex} + - {column: E, row: 8868, expected_value: Self-employed, label: employment type} + - {column: J, row: 8868, expected_value: Value, label: measure} + - {column: L, row: 8869, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8870 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8870, expected_value: E12000009, label: geography} + - {column: D, row: 8870, expected_value: All persons, label: sex} + - {column: E, row: 8870, expected_value: Self-employed, label: employment type} + - {column: J, row: 8870, expected_value: Value, label: measure} + - {column: L, row: 8871, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8872 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8872, expected_value: E12000009, label: geography} + - {column: D, row: 8872, expected_value: All persons, label: sex} + - {column: E, row: 8872, expected_value: Self-employed, label: employment type} + - {column: J, row: 8872, expected_value: Value, label: measure} + - {column: L, row: 8873, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8874 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8874, expected_value: E12000009, label: geography} + - {column: D, row: 8874, expected_value: All persons, label: sex} + - {column: E, row: 8874, expected_value: Self-employed, label: employment type} + - {column: J, row: 8874, expected_value: Value, label: measure} + - {column: L, row: 8875, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8876 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8876, expected_value: E12000009, label: geography} + - {column: D, row: 8876, expected_value: All persons, label: sex} + - {column: E, row: 8876, expected_value: Self-employed, label: employment type} + - {column: J, row: 8876, expected_value: Value, label: measure} + - {column: L, row: 8877, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8878 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8878, expected_value: E12000009, label: geography} + - {column: D, row: 8878, expected_value: All persons, label: sex} + - {column: E, row: 8878, expected_value: Self-employed, label: employment type} + - {column: J, row: 8878, expected_value: Value, label: measure} + - {column: L, row: 8879, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8880 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8880, expected_value: E12000009, label: geography} + - {column: D, row: 8880, expected_value: All persons, label: sex} + - {column: E, row: 8880, expected_value: Self-employed, label: employment type} + - {column: J, row: 8880, expected_value: Value, label: measure} + - {column: L, row: 8881, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8884 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8884, expected_value: E12000009, label: geography} + - {column: D, row: 8884, expected_value: All persons, label: sex} + - {column: E, row: 8884, expected_value: Self-employed, label: employment type} + - {column: J, row: 8884, expected_value: Value, label: measure} + - {column: L, row: 8885, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8886 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8886, expected_value: E12000009, label: geography} + - {column: D, row: 8886, expected_value: All persons, label: sex} + - {column: E, row: 8886, expected_value: Self-employed, label: employment type} + - {column: J, row: 8886, expected_value: Value, label: measure} + - {column: L, row: 8887, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8888 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8888, expected_value: E12000009, label: geography} + - {column: D, row: 8888, expected_value: All persons, label: sex} + - {column: E, row: 8888, expected_value: Self-employed, label: employment type} + - {column: J, row: 8888, expected_value: Value, label: measure} + - {column: L, row: 8889, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8890 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8890, expected_value: E12000009, label: geography} + - {column: D, row: 8890, expected_value: All persons, label: sex} + - {column: E, row: 8890, expected_value: Self-employed, label: employment type} + - {column: J, row: 8890, expected_value: Value, label: measure} + - {column: L, row: 8891, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8892 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8892, expected_value: E12000009, label: geography} + - {column: D, row: 8892, expected_value: All persons, label: sex} + - {column: E, row: 8892, expected_value: Self-employed, label: employment type} + - {column: J, row: 8892, expected_value: Value, label: measure} + - {column: L, row: 8893, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8894 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8894, expected_value: E12000009, label: geography} + - {column: D, row: 8894, expected_value: All persons, label: sex} + - {column: E, row: 8894, expected_value: Self-employed, label: employment type} + - {column: J, row: 8894, expected_value: Value, label: measure} + - {column: L, row: 8895, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8896 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8896, expected_value: E12000009, label: geography} + - {column: D, row: 8896, expected_value: All persons, label: sex} + - {column: E, row: 8896, expected_value: Self-employed, label: employment type} + - {column: J, row: 8896, expected_value: Value, label: measure} + - {column: L, row: 8897, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8898 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8898, expected_value: E12000009, label: geography} + - {column: D, row: 8898, expected_value: All persons, label: sex} + - {column: E, row: 8898, expected_value: Self-employed, label: employment type} + - {column: J, row: 8898, expected_value: Value, label: measure} + - {column: L, row: 8899, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8900 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8900, expected_value: E12000009, label: geography} + - {column: D, row: 8900, expected_value: All persons, label: sex} + - {column: E, row: 8900, expected_value: Self-employed, label: employment type} + - {column: J, row: 8900, expected_value: Value, label: measure} + - {column: L, row: 8901, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8902 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8902, expected_value: E12000009, label: geography} + - {column: D, row: 8902, expected_value: All persons, label: sex} + - {column: E, row: 8902, expected_value: Self-employed, label: employment type} + - {column: J, row: 8902, expected_value: Value, label: measure} + - {column: L, row: 8903, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8904 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8904, expected_value: E12000009, label: geography} + - {column: D, row: 8904, expected_value: All persons, label: sex} + - {column: E, row: 8904, expected_value: Self-employed, label: employment type} + - {column: J, row: 8904, expected_value: Value, label: measure} + - {column: L, row: 8905, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8906 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8906, expected_value: E12000009, label: geography} + - {column: D, row: 8906, expected_value: All persons, label: sex} + - {column: E, row: 8906, expected_value: Self-employed, label: employment type} + - {column: J, row: 8906, expected_value: Value, label: measure} + - {column: L, row: 8907, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8908 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8908, expected_value: E12000009, label: geography} + - {column: D, row: 8908, expected_value: All persons, label: sex} + - {column: E, row: 8908, expected_value: Self-employed, label: employment type} + - {column: J, row: 8908, expected_value: Value, label: measure} + - {column: L, row: 8909, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8912 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8912, expected_value: E12000009, label: geography} + - {column: D, row: 8912, expected_value: All persons, label: sex} + - {column: E, row: 8912, expected_value: Self-employed, label: employment type} + - {column: J, row: 8912, expected_value: Value, label: measure} + - {column: L, row: 8913, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8914 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8914, expected_value: E12000009, label: geography} + - {column: D, row: 8914, expected_value: All persons, label: sex} + - {column: E, row: 8914, expected_value: Self-employed, label: employment type} + - {column: J, row: 8914, expected_value: Value, label: measure} + - {column: L, row: 8915, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8918 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8918, expected_value: E12000009, label: geography} + - {column: D, row: 8918, expected_value: All persons, label: sex} + - {column: E, row: 8918, expected_value: Self-employed, label: employment type} + - {column: J, row: 8918, expected_value: Value, label: measure} + - {column: L, row: 8919, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8920 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8920, expected_value: E12000009, label: geography} + - {column: D, row: 8920, expected_value: All persons, label: sex} + - {column: E, row: 8920, expected_value: Self-employed, label: employment type} + - {column: J, row: 8920, expected_value: Value, label: measure} + - {column: L, row: 8921, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8922 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8922, expected_value: E12000009, label: geography} + - {column: D, row: 8922, expected_value: All persons, label: sex} + - {column: E, row: 8922, expected_value: Self-employed, label: employment type} + - {column: J, row: 8922, expected_value: Value, label: measure} + - {column: L, row: 8923, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8924 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8924, expected_value: E12000009, label: geography} + - {column: D, row: 8924, expected_value: All persons, label: sex} + - {column: E, row: 8924, expected_value: Self-employed, label: employment type} + - {column: J, row: 8924, expected_value: Value, label: measure} + - {column: L, row: 8925, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8926 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8926, expected_value: E12000009, label: geography} + - {column: D, row: 8926, expected_value: All persons, label: sex} + - {column: E, row: 8926, expected_value: Self-employed, label: employment type} + - {column: J, row: 8926, expected_value: Value, label: measure} + - {column: L, row: 8927, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8928 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8928, expected_value: E12000009, label: geography} + - {column: D, row: 8928, expected_value: All persons, label: sex} + - {column: E, row: 8928, expected_value: Self-employed, label: employment type} + - {column: J, row: 8928, expected_value: Value, label: measure} + - {column: L, row: 8929, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.all.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.all.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.all.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: all + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8859 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8859, expected_value: E12000009, label: geography} + - {column: D, row: 8859, expected_value: All persons, label: sex} + - {column: E, row: 8859, expected_value: Self-employed, label: employment type} + - {column: J, row: 8859, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8861 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8861, expected_value: E12000009, label: geography} + - {column: D, row: 8861, expected_value: All persons, label: sex} + - {column: E, row: 8861, expected_value: Self-employed, label: employment type} + - {column: J, row: 8861, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8863 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8863, expected_value: E12000009, label: geography} + - {column: D, row: 8863, expected_value: All persons, label: sex} + - {column: E, row: 8863, expected_value: Self-employed, label: employment type} + - {column: J, row: 8863, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8865 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8865, expected_value: E12000009, label: geography} + - {column: D, row: 8865, expected_value: All persons, label: sex} + - {column: E, row: 8865, expected_value: Self-employed, label: employment type} + - {column: J, row: 8865, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8867 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8867, expected_value: E12000009, label: geography} + - {column: D, row: 8867, expected_value: All persons, label: sex} + - {column: E, row: 8867, expected_value: Self-employed, label: employment type} + - {column: J, row: 8867, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8869 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8869, expected_value: E12000009, label: geography} + - {column: D, row: 8869, expected_value: All persons, label: sex} + - {column: E, row: 8869, expected_value: Self-employed, label: employment type} + - {column: J, row: 8869, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8871 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8871, expected_value: E12000009, label: geography} + - {column: D, row: 8871, expected_value: All persons, label: sex} + - {column: E, row: 8871, expected_value: Self-employed, label: employment type} + - {column: J, row: 8871, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8873 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8873, expected_value: E12000009, label: geography} + - {column: D, row: 8873, expected_value: All persons, label: sex} + - {column: E, row: 8873, expected_value: Self-employed, label: employment type} + - {column: J, row: 8873, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8875 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8875, expected_value: E12000009, label: geography} + - {column: D, row: 8875, expected_value: All persons, label: sex} + - {column: E, row: 8875, expected_value: Self-employed, label: employment type} + - {column: J, row: 8875, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8877 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8877, expected_value: E12000009, label: geography} + - {column: D, row: 8877, expected_value: All persons, label: sex} + - {column: E, row: 8877, expected_value: Self-employed, label: employment type} + - {column: J, row: 8877, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8881 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8881, expected_value: E12000009, label: geography} + - {column: D, row: 8881, expected_value: All persons, label: sex} + - {column: E, row: 8881, expected_value: Self-employed, label: employment type} + - {column: J, row: 8881, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8885 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8885, expected_value: E12000009, label: geography} + - {column: D, row: 8885, expected_value: All persons, label: sex} + - {column: E, row: 8885, expected_value: Self-employed, label: employment type} + - {column: J, row: 8885, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8887 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8887, expected_value: E12000009, label: geography} + - {column: D, row: 8887, expected_value: All persons, label: sex} + - {column: E, row: 8887, expected_value: Self-employed, label: employment type} + - {column: J, row: 8887, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8889 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8889, expected_value: E12000009, label: geography} + - {column: D, row: 8889, expected_value: All persons, label: sex} + - {column: E, row: 8889, expected_value: Self-employed, label: employment type} + - {column: J, row: 8889, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8891 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8891, expected_value: E12000009, label: geography} + - {column: D, row: 8891, expected_value: All persons, label: sex} + - {column: E, row: 8891, expected_value: Self-employed, label: employment type} + - {column: J, row: 8891, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8895 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8895, expected_value: E12000009, label: geography} + - {column: D, row: 8895, expected_value: All persons, label: sex} + - {column: E, row: 8895, expected_value: Self-employed, label: employment type} + - {column: J, row: 8895, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8897 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8897, expected_value: E12000009, label: geography} + - {column: D, row: 8897, expected_value: All persons, label: sex} + - {column: E, row: 8897, expected_value: Self-employed, label: employment type} + - {column: J, row: 8897, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8899 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8899, expected_value: E12000009, label: geography} + - {column: D, row: 8899, expected_value: All persons, label: sex} + - {column: E, row: 8899, expected_value: Self-employed, label: employment type} + - {column: J, row: 8899, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8901 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8901, expected_value: E12000009, label: geography} + - {column: D, row: 8901, expected_value: All persons, label: sex} + - {column: E, row: 8901, expected_value: Self-employed, label: employment type} + - {column: J, row: 8901, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8903 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8903, expected_value: E12000009, label: geography} + - {column: D, row: 8903, expected_value: All persons, label: sex} + - {column: E, row: 8903, expected_value: Self-employed, label: employment type} + - {column: J, row: 8903, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8905 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8905, expected_value: E12000009, label: geography} + - {column: D, row: 8905, expected_value: All persons, label: sex} + - {column: E, row: 8905, expected_value: Self-employed, label: employment type} + - {column: J, row: 8905, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8907 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8907, expected_value: E12000009, label: geography} + - {column: D, row: 8907, expected_value: All persons, label: sex} + - {column: E, row: 8907, expected_value: Self-employed, label: employment type} + - {column: J, row: 8907, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8909 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8909, expected_value: E12000009, label: geography} + - {column: D, row: 8909, expected_value: All persons, label: sex} + - {column: E, row: 8909, expected_value: Self-employed, label: employment type} + - {column: J, row: 8909, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8913 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8913, expected_value: E12000009, label: geography} + - {column: D, row: 8913, expected_value: All persons, label: sex} + - {column: E, row: 8913, expected_value: Self-employed, label: employment type} + - {column: J, row: 8913, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8915 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8915, expected_value: E12000009, label: geography} + - {column: D, row: 8915, expected_value: All persons, label: sex} + - {column: E, row: 8915, expected_value: Self-employed, label: employment type} + - {column: J, row: 8915, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8919 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8919, expected_value: E12000009, label: geography} + - {column: D, row: 8919, expected_value: All persons, label: sex} + - {column: E, row: 8919, expected_value: Self-employed, label: employment type} + - {column: J, row: 8919, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8921 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8921, expected_value: E12000009, label: geography} + - {column: D, row: 8921, expected_value: All persons, label: sex} + - {column: E, row: 8921, expected_value: Self-employed, label: employment type} + - {column: J, row: 8921, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8923 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8923, expected_value: E12000009, label: geography} + - {column: D, row: 8923, expected_value: All persons, label: sex} + - {column: E, row: 8923, expected_value: Self-employed, label: employment type} + - {column: J, row: 8923, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8925 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8925, expected_value: E12000009, label: geography} + - {column: D, row: 8925, expected_value: All persons, label: sex} + - {column: E, row: 8925, expected_value: Self-employed, label: employment type} + - {column: J, row: 8925, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8927 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8927, expected_value: E12000009, label: geography} + - {column: D, row: 8927, expected_value: All persons, label: sex} + - {column: E, row: 8927, expected_value: Self-employed, label: employment type} + - {column: J, row: 8927, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8929 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8929, expected_value: E12000009, label: geography} + - {column: D, row: 8929, expected_value: All persons, label: sex} + - {column: E, row: 8929, expected_value: Self-employed, label: employment type} + - {column: J, row: 8929, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: all, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8498 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8498, expected_value: E12000009, label: geography} + - {column: D, row: 8498, expected_value: Males, label: sex} + - {column: E, row: 8498, expected_value: Total, label: employment type} + - {column: J, row: 8498, expected_value: Value, label: measure} + - {column: L, row: 8499, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8500 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8500, expected_value: E12000009, label: geography} + - {column: D, row: 8500, expected_value: Males, label: sex} + - {column: E, row: 8500, expected_value: Total, label: employment type} + - {column: J, row: 8500, expected_value: Value, label: measure} + - {column: L, row: 8501, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8502 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8502, expected_value: E12000009, label: geography} + - {column: D, row: 8502, expected_value: Males, label: sex} + - {column: E, row: 8502, expected_value: Total, label: employment type} + - {column: J, row: 8502, expected_value: Value, label: measure} + - {column: L, row: 8503, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8504 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8504, expected_value: E12000009, label: geography} + - {column: D, row: 8504, expected_value: Males, label: sex} + - {column: E, row: 8504, expected_value: Total, label: employment type} + - {column: J, row: 8504, expected_value: Value, label: measure} + - {column: L, row: 8505, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8506 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8506, expected_value: E12000009, label: geography} + - {column: D, row: 8506, expected_value: Males, label: sex} + - {column: E, row: 8506, expected_value: Total, label: employment type} + - {column: J, row: 8506, expected_value: Value, label: measure} + - {column: L, row: 8507, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8508 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8508, expected_value: E12000009, label: geography} + - {column: D, row: 8508, expected_value: Males, label: sex} + - {column: E, row: 8508, expected_value: Total, label: employment type} + - {column: J, row: 8508, expected_value: Value, label: measure} + - {column: L, row: 8509, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8510 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8510, expected_value: E12000009, label: geography} + - {column: D, row: 8510, expected_value: Males, label: sex} + - {column: E, row: 8510, expected_value: Total, label: employment type} + - {column: J, row: 8510, expected_value: Value, label: measure} + - {column: L, row: 8511, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8512 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8512, expected_value: E12000009, label: geography} + - {column: D, row: 8512, expected_value: Males, label: sex} + - {column: E, row: 8512, expected_value: Total, label: employment type} + - {column: J, row: 8512, expected_value: Value, label: measure} + - {column: L, row: 8513, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8514 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8514, expected_value: E12000009, label: geography} + - {column: D, row: 8514, expected_value: Males, label: sex} + - {column: E, row: 8514, expected_value: Total, label: employment type} + - {column: J, row: 8514, expected_value: Value, label: measure} + - {column: L, row: 8515, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8516 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8516, expected_value: E12000009, label: geography} + - {column: D, row: 8516, expected_value: Males, label: sex} + - {column: E, row: 8516, expected_value: Total, label: employment type} + - {column: J, row: 8516, expected_value: Value, label: measure} + - {column: L, row: 8517, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8518 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8518, expected_value: E12000009, label: geography} + - {column: D, row: 8518, expected_value: Males, label: sex} + - {column: E, row: 8518, expected_value: Total, label: employment type} + - {column: J, row: 8518, expected_value: Value, label: measure} + - {column: L, row: 8519, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8520 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8520, expected_value: E12000009, label: geography} + - {column: D, row: 8520, expected_value: Males, label: sex} + - {column: E, row: 8520, expected_value: Total, label: employment type} + - {column: J, row: 8520, expected_value: Value, label: measure} + - {column: L, row: 8521, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8522 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8522, expected_value: E12000009, label: geography} + - {column: D, row: 8522, expected_value: Males, label: sex} + - {column: E, row: 8522, expected_value: Total, label: employment type} + - {column: J, row: 8522, expected_value: Value, label: measure} + - {column: L, row: 8523, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8524 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8524, expected_value: E12000009, label: geography} + - {column: D, row: 8524, expected_value: Males, label: sex} + - {column: E, row: 8524, expected_value: Total, label: employment type} + - {column: J, row: 8524, expected_value: Value, label: measure} + - {column: L, row: 8525, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8526 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8526, expected_value: E12000009, label: geography} + - {column: D, row: 8526, expected_value: Males, label: sex} + - {column: E, row: 8526, expected_value: Total, label: employment type} + - {column: J, row: 8526, expected_value: Value, label: measure} + - {column: L, row: 8527, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8528 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8528, expected_value: E12000009, label: geography} + - {column: D, row: 8528, expected_value: Males, label: sex} + - {column: E, row: 8528, expected_value: Total, label: employment type} + - {column: J, row: 8528, expected_value: Value, label: measure} + - {column: L, row: 8529, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8530 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8530, expected_value: E12000009, label: geography} + - {column: D, row: 8530, expected_value: Males, label: sex} + - {column: E, row: 8530, expected_value: Total, label: employment type} + - {column: J, row: 8530, expected_value: Value, label: measure} + - {column: L, row: 8531, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8532 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8532, expected_value: E12000009, label: geography} + - {column: D, row: 8532, expected_value: Males, label: sex} + - {column: E, row: 8532, expected_value: Total, label: employment type} + - {column: J, row: 8532, expected_value: Value, label: measure} + - {column: L, row: 8533, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8534 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8534, expected_value: E12000009, label: geography} + - {column: D, row: 8534, expected_value: Males, label: sex} + - {column: E, row: 8534, expected_value: Total, label: employment type} + - {column: J, row: 8534, expected_value: Value, label: measure} + - {column: L, row: 8535, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8536 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8536, expected_value: E12000009, label: geography} + - {column: D, row: 8536, expected_value: Males, label: sex} + - {column: E, row: 8536, expected_value: Total, label: employment type} + - {column: J, row: 8536, expected_value: Value, label: measure} + - {column: L, row: 8537, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8538 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8538, expected_value: E12000009, label: geography} + - {column: D, row: 8538, expected_value: Males, label: sex} + - {column: E, row: 8538, expected_value: Total, label: employment type} + - {column: J, row: 8538, expected_value: Value, label: measure} + - {column: L, row: 8539, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8540 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8540, expected_value: E12000009, label: geography} + - {column: D, row: 8540, expected_value: Males, label: sex} + - {column: E, row: 8540, expected_value: Total, label: employment type} + - {column: J, row: 8540, expected_value: Value, label: measure} + - {column: L, row: 8541, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8542 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8542, expected_value: E12000009, label: geography} + - {column: D, row: 8542, expected_value: Males, label: sex} + - {column: E, row: 8542, expected_value: Total, label: employment type} + - {column: J, row: 8542, expected_value: Value, label: measure} + - {column: L, row: 8543, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8544 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8544, expected_value: E12000009, label: geography} + - {column: D, row: 8544, expected_value: Males, label: sex} + - {column: E, row: 8544, expected_value: Total, label: employment type} + - {column: J, row: 8544, expected_value: Value, label: measure} + - {column: L, row: 8545, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8546 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8546, expected_value: E12000009, label: geography} + - {column: D, row: 8546, expected_value: Males, label: sex} + - {column: E, row: 8546, expected_value: Total, label: employment type} + - {column: J, row: 8546, expected_value: Value, label: measure} + - {column: L, row: 8547, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8548 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8548, expected_value: E12000009, label: geography} + - {column: D, row: 8548, expected_value: Males, label: sex} + - {column: E, row: 8548, expected_value: Total, label: employment type} + - {column: J, row: 8548, expected_value: Value, label: measure} + - {column: L, row: 8549, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8550 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8550, expected_value: E12000009, label: geography} + - {column: D, row: 8550, expected_value: Males, label: sex} + - {column: E, row: 8550, expected_value: Total, label: employment type} + - {column: J, row: 8550, expected_value: Value, label: measure} + - {column: L, row: 8551, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8552 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8552, expected_value: E12000009, label: geography} + - {column: D, row: 8552, expected_value: Males, label: sex} + - {column: E, row: 8552, expected_value: Total, label: employment type} + - {column: J, row: 8552, expected_value: Value, label: measure} + - {column: L, row: 8553, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8554 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8554, expected_value: E12000009, label: geography} + - {column: D, row: 8554, expected_value: Males, label: sex} + - {column: E, row: 8554, expected_value: Total, label: employment type} + - {column: J, row: 8554, expected_value: Value, label: measure} + - {column: L, row: 8555, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8556 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8556, expected_value: E12000009, label: geography} + - {column: D, row: 8556, expected_value: Males, label: sex} + - {column: E, row: 8556, expected_value: Total, label: employment type} + - {column: J, row: 8556, expected_value: Value, label: measure} + - {column: L, row: 8557, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8558 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8558, expected_value: E12000009, label: geography} + - {column: D, row: 8558, expected_value: Males, label: sex} + - {column: E, row: 8558, expected_value: Total, label: employment type} + - {column: J, row: 8558, expected_value: Value, label: measure} + - {column: L, row: 8559, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8560 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8560, expected_value: E12000009, label: geography} + - {column: D, row: 8560, expected_value: Males, label: sex} + - {column: E, row: 8560, expected_value: Total, label: employment type} + - {column: J, row: 8560, expected_value: Value, label: measure} + - {column: L, row: 8561, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8562 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8562, expected_value: E12000009, label: geography} + - {column: D, row: 8562, expected_value: Males, label: sex} + - {column: E, row: 8562, expected_value: Total, label: employment type} + - {column: J, row: 8562, expected_value: Value, label: measure} + - {column: L, row: 8563, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8564 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8564, expected_value: E12000009, label: geography} + - {column: D, row: 8564, expected_value: Males, label: sex} + - {column: E, row: 8564, expected_value: Total, label: employment type} + - {column: J, row: 8564, expected_value: Value, label: measure} + - {column: L, row: 8565, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8566 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8566, expected_value: E12000009, label: geography} + - {column: D, row: 8566, expected_value: Males, label: sex} + - {column: E, row: 8566, expected_value: Total, label: employment type} + - {column: J, row: 8566, expected_value: Value, label: measure} + - {column: L, row: 8567, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8568 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8568, expected_value: E12000009, label: geography} + - {column: D, row: 8568, expected_value: Males, label: sex} + - {column: E, row: 8568, expected_value: Total, label: employment type} + - {column: J, row: 8568, expected_value: Value, label: measure} + - {column: L, row: 8569, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8499 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8499, expected_value: E12000009, label: geography} + - {column: D, row: 8499, expected_value: Males, label: sex} + - {column: E, row: 8499, expected_value: Total, label: employment type} + - {column: J, row: 8499, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8501 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8501, expected_value: E12000009, label: geography} + - {column: D, row: 8501, expected_value: Males, label: sex} + - {column: E, row: 8501, expected_value: Total, label: employment type} + - {column: J, row: 8501, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8503 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8503, expected_value: E12000009, label: geography} + - {column: D, row: 8503, expected_value: Males, label: sex} + - {column: E, row: 8503, expected_value: Total, label: employment type} + - {column: J, row: 8503, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8505 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8505, expected_value: E12000009, label: geography} + - {column: D, row: 8505, expected_value: Males, label: sex} + - {column: E, row: 8505, expected_value: Total, label: employment type} + - {column: J, row: 8505, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8507 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8507, expected_value: E12000009, label: geography} + - {column: D, row: 8507, expected_value: Males, label: sex} + - {column: E, row: 8507, expected_value: Total, label: employment type} + - {column: J, row: 8507, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8509 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8509, expected_value: E12000009, label: geography} + - {column: D, row: 8509, expected_value: Males, label: sex} + - {column: E, row: 8509, expected_value: Total, label: employment type} + - {column: J, row: 8509, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8511 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8511, expected_value: E12000009, label: geography} + - {column: D, row: 8511, expected_value: Males, label: sex} + - {column: E, row: 8511, expected_value: Total, label: employment type} + - {column: J, row: 8511, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8513 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8513, expected_value: E12000009, label: geography} + - {column: D, row: 8513, expected_value: Males, label: sex} + - {column: E, row: 8513, expected_value: Total, label: employment type} + - {column: J, row: 8513, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8515 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8515, expected_value: E12000009, label: geography} + - {column: D, row: 8515, expected_value: Males, label: sex} + - {column: E, row: 8515, expected_value: Total, label: employment type} + - {column: J, row: 8515, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8517 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8517, expected_value: E12000009, label: geography} + - {column: D, row: 8517, expected_value: Males, label: sex} + - {column: E, row: 8517, expected_value: Total, label: employment type} + - {column: J, row: 8517, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8519 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8519, expected_value: E12000009, label: geography} + - {column: D, row: 8519, expected_value: Males, label: sex} + - {column: E, row: 8519, expected_value: Total, label: employment type} + - {column: J, row: 8519, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8521 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8521, expected_value: E12000009, label: geography} + - {column: D, row: 8521, expected_value: Males, label: sex} + - {column: E, row: 8521, expected_value: Total, label: employment type} + - {column: J, row: 8521, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8523 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8523, expected_value: E12000009, label: geography} + - {column: D, row: 8523, expected_value: Males, label: sex} + - {column: E, row: 8523, expected_value: Total, label: employment type} + - {column: J, row: 8523, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8525 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8525, expected_value: E12000009, label: geography} + - {column: D, row: 8525, expected_value: Males, label: sex} + - {column: E, row: 8525, expected_value: Total, label: employment type} + - {column: J, row: 8525, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8527 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8527, expected_value: E12000009, label: geography} + - {column: D, row: 8527, expected_value: Males, label: sex} + - {column: E, row: 8527, expected_value: Total, label: employment type} + - {column: J, row: 8527, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8529 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8529, expected_value: E12000009, label: geography} + - {column: D, row: 8529, expected_value: Males, label: sex} + - {column: E, row: 8529, expected_value: Total, label: employment type} + - {column: J, row: 8529, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8531 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8531, expected_value: E12000009, label: geography} + - {column: D, row: 8531, expected_value: Males, label: sex} + - {column: E, row: 8531, expected_value: Total, label: employment type} + - {column: J, row: 8531, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8535 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8535, expected_value: E12000009, label: geography} + - {column: D, row: 8535, expected_value: Males, label: sex} + - {column: E, row: 8535, expected_value: Total, label: employment type} + - {column: J, row: 8535, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8537 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8537, expected_value: E12000009, label: geography} + - {column: D, row: 8537, expected_value: Males, label: sex} + - {column: E, row: 8537, expected_value: Total, label: employment type} + - {column: J, row: 8537, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8539 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8539, expected_value: E12000009, label: geography} + - {column: D, row: 8539, expected_value: Males, label: sex} + - {column: E, row: 8539, expected_value: Total, label: employment type} + - {column: J, row: 8539, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8541 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8541, expected_value: E12000009, label: geography} + - {column: D, row: 8541, expected_value: Males, label: sex} + - {column: E, row: 8541, expected_value: Total, label: employment type} + - {column: J, row: 8541, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8543 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8543, expected_value: E12000009, label: geography} + - {column: D, row: 8543, expected_value: Males, label: sex} + - {column: E, row: 8543, expected_value: Total, label: employment type} + - {column: J, row: 8543, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8545 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8545, expected_value: E12000009, label: geography} + - {column: D, row: 8545, expected_value: Males, label: sex} + - {column: E, row: 8545, expected_value: Total, label: employment type} + - {column: J, row: 8545, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8547 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8547, expected_value: E12000009, label: geography} + - {column: D, row: 8547, expected_value: Males, label: sex} + - {column: E, row: 8547, expected_value: Total, label: employment type} + - {column: J, row: 8547, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8549 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8549, expected_value: E12000009, label: geography} + - {column: D, row: 8549, expected_value: Males, label: sex} + - {column: E, row: 8549, expected_value: Total, label: employment type} + - {column: J, row: 8549, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8553 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8553, expected_value: E12000009, label: geography} + - {column: D, row: 8553, expected_value: Males, label: sex} + - {column: E, row: 8553, expected_value: Total, label: employment type} + - {column: J, row: 8553, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8555 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8555, expected_value: E12000009, label: geography} + - {column: D, row: 8555, expected_value: Males, label: sex} + - {column: E, row: 8555, expected_value: Total, label: employment type} + - {column: J, row: 8555, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8557 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8557, expected_value: E12000009, label: geography} + - {column: D, row: 8557, expected_value: Males, label: sex} + - {column: E, row: 8557, expected_value: Total, label: employment type} + - {column: J, row: 8557, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8559 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8559, expected_value: E12000009, label: geography} + - {column: D, row: 8559, expected_value: Males, label: sex} + - {column: E, row: 8559, expected_value: Total, label: employment type} + - {column: J, row: 8559, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8561 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8561, expected_value: E12000009, label: geography} + - {column: D, row: 8561, expected_value: Males, label: sex} + - {column: E, row: 8561, expected_value: Total, label: employment type} + - {column: J, row: 8561, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8563 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8563, expected_value: E12000009, label: geography} + - {column: D, row: 8563, expected_value: Males, label: sex} + - {column: E, row: 8563, expected_value: Total, label: employment type} + - {column: J, row: 8563, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8565 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8565, expected_value: E12000009, label: geography} + - {column: D, row: 8565, expected_value: Males, label: sex} + - {column: E, row: 8565, expected_value: Total, label: employment type} + - {column: J, row: 8565, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8567 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8567, expected_value: E12000009, label: geography} + - {column: D, row: 8567, expected_value: Males, label: sex} + - {column: E, row: 8567, expected_value: Total, label: employment type} + - {column: J, row: 8567, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8569 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8569, expected_value: E12000009, label: geography} + - {column: D, row: 8569, expected_value: Males, label: sex} + - {column: E, row: 8569, expected_value: Total, label: employment type} + - {column: J, row: 8569, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8714 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8714, expected_value: E12000009, label: geography} + - {column: D, row: 8714, expected_value: Males, label: sex} + - {column: E, row: 8714, expected_value: Employee, label: employment type} + - {column: J, row: 8714, expected_value: Value, label: measure} + - {column: L, row: 8715, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8716 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8716, expected_value: E12000009, label: geography} + - {column: D, row: 8716, expected_value: Males, label: sex} + - {column: E, row: 8716, expected_value: Employee, label: employment type} + - {column: J, row: 8716, expected_value: Value, label: measure} + - {column: L, row: 8717, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8718 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8718, expected_value: E12000009, label: geography} + - {column: D, row: 8718, expected_value: Males, label: sex} + - {column: E, row: 8718, expected_value: Employee, label: employment type} + - {column: J, row: 8718, expected_value: Value, label: measure} + - {column: L, row: 8719, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8720 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8720, expected_value: E12000009, label: geography} + - {column: D, row: 8720, expected_value: Males, label: sex} + - {column: E, row: 8720, expected_value: Employee, label: employment type} + - {column: J, row: 8720, expected_value: Value, label: measure} + - {column: L, row: 8721, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8722 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8722, expected_value: E12000009, label: geography} + - {column: D, row: 8722, expected_value: Males, label: sex} + - {column: E, row: 8722, expected_value: Employee, label: employment type} + - {column: J, row: 8722, expected_value: Value, label: measure} + - {column: L, row: 8723, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8724 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8724, expected_value: E12000009, label: geography} + - {column: D, row: 8724, expected_value: Males, label: sex} + - {column: E, row: 8724, expected_value: Employee, label: employment type} + - {column: J, row: 8724, expected_value: Value, label: measure} + - {column: L, row: 8725, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8726 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8726, expected_value: E12000009, label: geography} + - {column: D, row: 8726, expected_value: Males, label: sex} + - {column: E, row: 8726, expected_value: Employee, label: employment type} + - {column: J, row: 8726, expected_value: Value, label: measure} + - {column: L, row: 8727, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8728 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8728, expected_value: E12000009, label: geography} + - {column: D, row: 8728, expected_value: Males, label: sex} + - {column: E, row: 8728, expected_value: Employee, label: employment type} + - {column: J, row: 8728, expected_value: Value, label: measure} + - {column: L, row: 8729, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8730 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8730, expected_value: E12000009, label: geography} + - {column: D, row: 8730, expected_value: Males, label: sex} + - {column: E, row: 8730, expected_value: Employee, label: employment type} + - {column: J, row: 8730, expected_value: Value, label: measure} + - {column: L, row: 8731, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8732 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8732, expected_value: E12000009, label: geography} + - {column: D, row: 8732, expected_value: Males, label: sex} + - {column: E, row: 8732, expected_value: Employee, label: employment type} + - {column: J, row: 8732, expected_value: Value, label: measure} + - {column: L, row: 8733, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8734 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8734, expected_value: E12000009, label: geography} + - {column: D, row: 8734, expected_value: Males, label: sex} + - {column: E, row: 8734, expected_value: Employee, label: employment type} + - {column: J, row: 8734, expected_value: Value, label: measure} + - {column: L, row: 8735, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8736 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8736, expected_value: E12000009, label: geography} + - {column: D, row: 8736, expected_value: Males, label: sex} + - {column: E, row: 8736, expected_value: Employee, label: employment type} + - {column: J, row: 8736, expected_value: Value, label: measure} + - {column: L, row: 8737, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8738 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8738, expected_value: E12000009, label: geography} + - {column: D, row: 8738, expected_value: Males, label: sex} + - {column: E, row: 8738, expected_value: Employee, label: employment type} + - {column: J, row: 8738, expected_value: Value, label: measure} + - {column: L, row: 8739, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8740 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8740, expected_value: E12000009, label: geography} + - {column: D, row: 8740, expected_value: Males, label: sex} + - {column: E, row: 8740, expected_value: Employee, label: employment type} + - {column: J, row: 8740, expected_value: Value, label: measure} + - {column: L, row: 8741, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8742 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8742, expected_value: E12000009, label: geography} + - {column: D, row: 8742, expected_value: Males, label: sex} + - {column: E, row: 8742, expected_value: Employee, label: employment type} + - {column: J, row: 8742, expected_value: Value, label: measure} + - {column: L, row: 8743, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8744 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8744, expected_value: E12000009, label: geography} + - {column: D, row: 8744, expected_value: Males, label: sex} + - {column: E, row: 8744, expected_value: Employee, label: employment type} + - {column: J, row: 8744, expected_value: Value, label: measure} + - {column: L, row: 8745, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8746 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8746, expected_value: E12000009, label: geography} + - {column: D, row: 8746, expected_value: Males, label: sex} + - {column: E, row: 8746, expected_value: Employee, label: employment type} + - {column: J, row: 8746, expected_value: Value, label: measure} + - {column: L, row: 8747, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8748 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8748, expected_value: E12000009, label: geography} + - {column: D, row: 8748, expected_value: Males, label: sex} + - {column: E, row: 8748, expected_value: Employee, label: employment type} + - {column: J, row: 8748, expected_value: Value, label: measure} + - {column: L, row: 8749, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8750 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8750, expected_value: E12000009, label: geography} + - {column: D, row: 8750, expected_value: Males, label: sex} + - {column: E, row: 8750, expected_value: Employee, label: employment type} + - {column: J, row: 8750, expected_value: Value, label: measure} + - {column: L, row: 8751, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8752 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8752, expected_value: E12000009, label: geography} + - {column: D, row: 8752, expected_value: Males, label: sex} + - {column: E, row: 8752, expected_value: Employee, label: employment type} + - {column: J, row: 8752, expected_value: Value, label: measure} + - {column: L, row: 8753, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8754 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8754, expected_value: E12000009, label: geography} + - {column: D, row: 8754, expected_value: Males, label: sex} + - {column: E, row: 8754, expected_value: Employee, label: employment type} + - {column: J, row: 8754, expected_value: Value, label: measure} + - {column: L, row: 8755, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8756 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8756, expected_value: E12000009, label: geography} + - {column: D, row: 8756, expected_value: Males, label: sex} + - {column: E, row: 8756, expected_value: Employee, label: employment type} + - {column: J, row: 8756, expected_value: Value, label: measure} + - {column: L, row: 8757, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8758 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8758, expected_value: E12000009, label: geography} + - {column: D, row: 8758, expected_value: Males, label: sex} + - {column: E, row: 8758, expected_value: Employee, label: employment type} + - {column: J, row: 8758, expected_value: Value, label: measure} + - {column: L, row: 8759, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8760 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8760, expected_value: E12000009, label: geography} + - {column: D, row: 8760, expected_value: Males, label: sex} + - {column: E, row: 8760, expected_value: Employee, label: employment type} + - {column: J, row: 8760, expected_value: Value, label: measure} + - {column: L, row: 8761, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8762 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8762, expected_value: E12000009, label: geography} + - {column: D, row: 8762, expected_value: Males, label: sex} + - {column: E, row: 8762, expected_value: Employee, label: employment type} + - {column: J, row: 8762, expected_value: Value, label: measure} + - {column: L, row: 8763, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8764 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8764, expected_value: E12000009, label: geography} + - {column: D, row: 8764, expected_value: Males, label: sex} + - {column: E, row: 8764, expected_value: Employee, label: employment type} + - {column: J, row: 8764, expected_value: Value, label: measure} + - {column: L, row: 8765, expected_value: A, label: interval status} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 8766 + expected_row_header_column: H + expected_row_header: '63 : Community And Civil Enforcement Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 63} + guard_cells: + - {column: B, row: 8766, expected_value: E12000009, label: geography} + - {column: D, row: 8766, expected_value: Males, label: sex} + - {column: E, row: 8766, expected_value: Employee, label: employment type} + - {column: J, row: 8766, expected_value: Value, label: measure} + - {column: L, row: 8767, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8768 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8768, expected_value: E12000009, label: geography} + - {column: D, row: 8768, expected_value: Males, label: sex} + - {column: E, row: 8768, expected_value: Employee, label: employment type} + - {column: J, row: 8768, expected_value: Value, label: measure} + - {column: L, row: 8769, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8770 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8770, expected_value: E12000009, label: geography} + - {column: D, row: 8770, expected_value: Males, label: sex} + - {column: E, row: 8770, expected_value: Employee, label: employment type} + - {column: J, row: 8770, expected_value: Value, label: measure} + - {column: L, row: 8771, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8772 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8772, expected_value: E12000009, label: geography} + - {column: D, row: 8772, expected_value: Males, label: sex} + - {column: E, row: 8772, expected_value: Employee, label: employment type} + - {column: J, row: 8772, expected_value: Value, label: measure} + - {column: L, row: 8773, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8774 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8774, expected_value: E12000009, label: geography} + - {column: D, row: 8774, expected_value: Males, label: sex} + - {column: E, row: 8774, expected_value: Employee, label: employment type} + - {column: J, row: 8774, expected_value: Value, label: measure} + - {column: L, row: 8775, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8776 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8776, expected_value: E12000009, label: geography} + - {column: D, row: 8776, expected_value: Males, label: sex} + - {column: E, row: 8776, expected_value: Employee, label: employment type} + - {column: J, row: 8776, expected_value: Value, label: measure} + - {column: L, row: 8777, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8778 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8778, expected_value: E12000009, label: geography} + - {column: D, row: 8778, expected_value: Males, label: sex} + - {column: E, row: 8778, expected_value: Employee, label: employment type} + - {column: J, row: 8778, expected_value: Value, label: measure} + - {column: L, row: 8779, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8780 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8780, expected_value: E12000009, label: geography} + - {column: D, row: 8780, expected_value: Males, label: sex} + - {column: E, row: 8780, expected_value: Employee, label: employment type} + - {column: J, row: 8780, expected_value: Value, label: measure} + - {column: L, row: 8781, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8782 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8782, expected_value: E12000009, label: geography} + - {column: D, row: 8782, expected_value: Males, label: sex} + - {column: E, row: 8782, expected_value: Employee, label: employment type} + - {column: J, row: 8782, expected_value: Value, label: measure} + - {column: L, row: 8783, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8784 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8784, expected_value: E12000009, label: geography} + - {column: D, row: 8784, expected_value: Males, label: sex} + - {column: E, row: 8784, expected_value: Employee, label: employment type} + - {column: J, row: 8784, expected_value: Value, label: measure} + - {column: L, row: 8785, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8715 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8715, expected_value: E12000009, label: geography} + - {column: D, row: 8715, expected_value: Males, label: sex} + - {column: E, row: 8715, expected_value: Employee, label: employment type} + - {column: J, row: 8715, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8717 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8717, expected_value: E12000009, label: geography} + - {column: D, row: 8717, expected_value: Males, label: sex} + - {column: E, row: 8717, expected_value: Employee, label: employment type} + - {column: J, row: 8717, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8719 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8719, expected_value: E12000009, label: geography} + - {column: D, row: 8719, expected_value: Males, label: sex} + - {column: E, row: 8719, expected_value: Employee, label: employment type} + - {column: J, row: 8719, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8721 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8721, expected_value: E12000009, label: geography} + - {column: D, row: 8721, expected_value: Males, label: sex} + - {column: E, row: 8721, expected_value: Employee, label: employment type} + - {column: J, row: 8721, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8723 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8723, expected_value: E12000009, label: geography} + - {column: D, row: 8723, expected_value: Males, label: sex} + - {column: E, row: 8723, expected_value: Employee, label: employment type} + - {column: J, row: 8723, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8725 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8725, expected_value: E12000009, label: geography} + - {column: D, row: 8725, expected_value: Males, label: sex} + - {column: E, row: 8725, expected_value: Employee, label: employment type} + - {column: J, row: 8725, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8727 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8727, expected_value: E12000009, label: geography} + - {column: D, row: 8727, expected_value: Males, label: sex} + - {column: E, row: 8727, expected_value: Employee, label: employment type} + - {column: J, row: 8727, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8729 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8729, expected_value: E12000009, label: geography} + - {column: D, row: 8729, expected_value: Males, label: sex} + - {column: E, row: 8729, expected_value: Employee, label: employment type} + - {column: J, row: 8729, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8731 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8731, expected_value: E12000009, label: geography} + - {column: D, row: 8731, expected_value: Males, label: sex} + - {column: E, row: 8731, expected_value: Employee, label: employment type} + - {column: J, row: 8731, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8733 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8733, expected_value: E12000009, label: geography} + - {column: D, row: 8733, expected_value: Males, label: sex} + - {column: E, row: 8733, expected_value: Employee, label: employment type} + - {column: J, row: 8733, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8735 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8735, expected_value: E12000009, label: geography} + - {column: D, row: 8735, expected_value: Males, label: sex} + - {column: E, row: 8735, expected_value: Employee, label: employment type} + - {column: J, row: 8735, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8737 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8737, expected_value: E12000009, label: geography} + - {column: D, row: 8737, expected_value: Males, label: sex} + - {column: E, row: 8737, expected_value: Employee, label: employment type} + - {column: J, row: 8737, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8739 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8739, expected_value: E12000009, label: geography} + - {column: D, row: 8739, expected_value: Males, label: sex} + - {column: E, row: 8739, expected_value: Employee, label: employment type} + - {column: J, row: 8739, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8741 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8741, expected_value: E12000009, label: geography} + - {column: D, row: 8741, expected_value: Males, label: sex} + - {column: E, row: 8741, expected_value: Employee, label: employment type} + - {column: J, row: 8741, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8743 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8743, expected_value: E12000009, label: geography} + - {column: D, row: 8743, expected_value: Males, label: sex} + - {column: E, row: 8743, expected_value: Employee, label: employment type} + - {column: J, row: 8743, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8745 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8745, expected_value: E12000009, label: geography} + - {column: D, row: 8745, expected_value: Males, label: sex} + - {column: E, row: 8745, expected_value: Employee, label: employment type} + - {column: J, row: 8745, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8747 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8747, expected_value: E12000009, label: geography} + - {column: D, row: 8747, expected_value: Males, label: sex} + - {column: E, row: 8747, expected_value: Employee, label: employment type} + - {column: J, row: 8747, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8751 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8751, expected_value: E12000009, label: geography} + - {column: D, row: 8751, expected_value: Males, label: sex} + - {column: E, row: 8751, expected_value: Employee, label: employment type} + - {column: J, row: 8751, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8753 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8753, expected_value: E12000009, label: geography} + - {column: D, row: 8753, expected_value: Males, label: sex} + - {column: E, row: 8753, expected_value: Employee, label: employment type} + - {column: J, row: 8753, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8755 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8755, expected_value: E12000009, label: geography} + - {column: D, row: 8755, expected_value: Males, label: sex} + - {column: E, row: 8755, expected_value: Employee, label: employment type} + - {column: J, row: 8755, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8757 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8757, expected_value: E12000009, label: geography} + - {column: D, row: 8757, expected_value: Males, label: sex} + - {column: E, row: 8757, expected_value: Employee, label: employment type} + - {column: J, row: 8757, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8759 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8759, expected_value: E12000009, label: geography} + - {column: D, row: 8759, expected_value: Males, label: sex} + - {column: E, row: 8759, expected_value: Employee, label: employment type} + - {column: J, row: 8759, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8761 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8761, expected_value: E12000009, label: geography} + - {column: D, row: 8761, expected_value: Males, label: sex} + - {column: E, row: 8761, expected_value: Employee, label: employment type} + - {column: J, row: 8761, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8763 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8763, expected_value: E12000009, label: geography} + - {column: D, row: 8763, expected_value: Males, label: sex} + - {column: E, row: 8763, expected_value: Employee, label: employment type} + - {column: J, row: 8763, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8765 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8765, expected_value: E12000009, label: geography} + - {column: D, row: 8765, expected_value: Males, label: sex} + - {column: E, row: 8765, expected_value: Employee, label: employment type} + - {column: J, row: 8765, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8769 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8769, expected_value: E12000009, label: geography} + - {column: D, row: 8769, expected_value: Males, label: sex} + - {column: E, row: 8769, expected_value: Employee, label: employment type} + - {column: J, row: 8769, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8771 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8771, expected_value: E12000009, label: geography} + - {column: D, row: 8771, expected_value: Males, label: sex} + - {column: E, row: 8771, expected_value: Employee, label: employment type} + - {column: J, row: 8771, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8773 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8773, expected_value: E12000009, label: geography} + - {column: D, row: 8773, expected_value: Males, label: sex} + - {column: E, row: 8773, expected_value: Employee, label: employment type} + - {column: J, row: 8773, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8775 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8775, expected_value: E12000009, label: geography} + - {column: D, row: 8775, expected_value: Males, label: sex} + - {column: E, row: 8775, expected_value: Employee, label: employment type} + - {column: J, row: 8775, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8777 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8777, expected_value: E12000009, label: geography} + - {column: D, row: 8777, expected_value: Males, label: sex} + - {column: E, row: 8777, expected_value: Employee, label: employment type} + - {column: J, row: 8777, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8779 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8779, expected_value: E12000009, label: geography} + - {column: D, row: 8779, expected_value: Males, label: sex} + - {column: E, row: 8779, expected_value: Employee, label: employment type} + - {column: J, row: 8779, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8781 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8781, expected_value: E12000009, label: geography} + - {column: D, row: 8781, expected_value: Males, label: sex} + - {column: E, row: 8781, expected_value: Employee, label: employment type} + - {column: J, row: 8781, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8783 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8783, expected_value: E12000009, label: geography} + - {column: D, row: 8783, expected_value: Males, label: sex} + - {column: E, row: 8783, expected_value: Employee, label: employment type} + - {column: J, row: 8783, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8785 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8785, expected_value: E12000009, label: geography} + - {column: D, row: 8785, expected_value: Males, label: sex} + - {column: E, row: 8785, expected_value: Employee, label: employment type} + - {column: J, row: 8785, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8930 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8930, expected_value: E12000009, label: geography} + - {column: D, row: 8930, expected_value: Males, label: sex} + - {column: E, row: 8930, expected_value: Self-employed, label: employment type} + - {column: J, row: 8930, expected_value: Value, label: measure} + - {column: L, row: 8931, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8932 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8932, expected_value: E12000009, label: geography} + - {column: D, row: 8932, expected_value: Males, label: sex} + - {column: E, row: 8932, expected_value: Self-employed, label: employment type} + - {column: J, row: 8932, expected_value: Value, label: measure} + - {column: L, row: 8933, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8934 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8934, expected_value: E12000009, label: geography} + - {column: D, row: 8934, expected_value: Males, label: sex} + - {column: E, row: 8934, expected_value: Self-employed, label: employment type} + - {column: J, row: 8934, expected_value: Value, label: measure} + - {column: L, row: 8935, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8936 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8936, expected_value: E12000009, label: geography} + - {column: D, row: 8936, expected_value: Males, label: sex} + - {column: E, row: 8936, expected_value: Self-employed, label: employment type} + - {column: J, row: 8936, expected_value: Value, label: measure} + - {column: L, row: 8937, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8938 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8938, expected_value: E12000009, label: geography} + - {column: D, row: 8938, expected_value: Males, label: sex} + - {column: E, row: 8938, expected_value: Self-employed, label: employment type} + - {column: J, row: 8938, expected_value: Value, label: measure} + - {column: L, row: 8939, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8940 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8940, expected_value: E12000009, label: geography} + - {column: D, row: 8940, expected_value: Males, label: sex} + - {column: E, row: 8940, expected_value: Self-employed, label: employment type} + - {column: J, row: 8940, expected_value: Value, label: measure} + - {column: L, row: 8941, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8942 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8942, expected_value: E12000009, label: geography} + - {column: D, row: 8942, expected_value: Males, label: sex} + - {column: E, row: 8942, expected_value: Self-employed, label: employment type} + - {column: J, row: 8942, expected_value: Value, label: measure} + - {column: L, row: 8943, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8944 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8944, expected_value: E12000009, label: geography} + - {column: D, row: 8944, expected_value: Males, label: sex} + - {column: E, row: 8944, expected_value: Self-employed, label: employment type} + - {column: J, row: 8944, expected_value: Value, label: measure} + - {column: L, row: 8945, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8946 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8946, expected_value: E12000009, label: geography} + - {column: D, row: 8946, expected_value: Males, label: sex} + - {column: E, row: 8946, expected_value: Self-employed, label: employment type} + - {column: J, row: 8946, expected_value: Value, label: measure} + - {column: L, row: 8947, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8948 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8948, expected_value: E12000009, label: geography} + - {column: D, row: 8948, expected_value: Males, label: sex} + - {column: E, row: 8948, expected_value: Self-employed, label: employment type} + - {column: J, row: 8948, expected_value: Value, label: measure} + - {column: L, row: 8949, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8950 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8950, expected_value: E12000009, label: geography} + - {column: D, row: 8950, expected_value: Males, label: sex} + - {column: E, row: 8950, expected_value: Self-employed, label: employment type} + - {column: J, row: 8950, expected_value: Value, label: measure} + - {column: L, row: 8951, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8952 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8952, expected_value: E12000009, label: geography} + - {column: D, row: 8952, expected_value: Males, label: sex} + - {column: E, row: 8952, expected_value: Self-employed, label: employment type} + - {column: J, row: 8952, expected_value: Value, label: measure} + - {column: L, row: 8953, expected_value: G, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8956 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8956, expected_value: E12000009, label: geography} + - {column: D, row: 8956, expected_value: Males, label: sex} + - {column: E, row: 8956, expected_value: Self-employed, label: employment type} + - {column: J, row: 8956, expected_value: Value, label: measure} + - {column: L, row: 8957, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8958 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8958, expected_value: E12000009, label: geography} + - {column: D, row: 8958, expected_value: Males, label: sex} + - {column: E, row: 8958, expected_value: Self-employed, label: employment type} + - {column: J, row: 8958, expected_value: Value, label: measure} + - {column: L, row: 8959, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8960 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8960, expected_value: E12000009, label: geography} + - {column: D, row: 8960, expected_value: Males, label: sex} + - {column: E, row: 8960, expected_value: Self-employed, label: employment type} + - {column: J, row: 8960, expected_value: Value, label: measure} + - {column: L, row: 8961, expected_value: G, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8962 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8962, expected_value: E12000009, label: geography} + - {column: D, row: 8962, expected_value: Males, label: sex} + - {column: E, row: 8962, expected_value: Self-employed, label: employment type} + - {column: J, row: 8962, expected_value: Value, label: measure} + - {column: L, row: 8963, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8966 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8966, expected_value: E12000009, label: geography} + - {column: D, row: 8966, expected_value: Males, label: sex} + - {column: E, row: 8966, expected_value: Self-employed, label: employment type} + - {column: J, row: 8966, expected_value: Value, label: measure} + - {column: L, row: 8967, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8968 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8968, expected_value: E12000009, label: geography} + - {column: D, row: 8968, expected_value: Males, label: sex} + - {column: E, row: 8968, expected_value: Self-employed, label: employment type} + - {column: J, row: 8968, expected_value: Value, label: measure} + - {column: L, row: 8969, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8970 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8970, expected_value: E12000009, label: geography} + - {column: D, row: 8970, expected_value: Males, label: sex} + - {column: E, row: 8970, expected_value: Self-employed, label: employment type} + - {column: J, row: 8970, expected_value: Value, label: measure} + - {column: L, row: 8971, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8972 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8972, expected_value: E12000009, label: geography} + - {column: D, row: 8972, expected_value: Males, label: sex} + - {column: E, row: 8972, expected_value: Self-employed, label: employment type} + - {column: J, row: 8972, expected_value: Value, label: measure} + - {column: L, row: 8973, expected_value: A, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8974 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8974, expected_value: E12000009, label: geography} + - {column: D, row: 8974, expected_value: Males, label: sex} + - {column: E, row: 8974, expected_value: Self-employed, label: employment type} + - {column: J, row: 8974, expected_value: Value, label: measure} + - {column: L, row: 8975, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8976 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8976, expected_value: E12000009, label: geography} + - {column: D, row: 8976, expected_value: Males, label: sex} + - {column: E, row: 8976, expected_value: Self-employed, label: employment type} + - {column: J, row: 8976, expected_value: Value, label: measure} + - {column: L, row: 8977, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8978 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8978, expected_value: E12000009, label: geography} + - {column: D, row: 8978, expected_value: Males, label: sex} + - {column: E, row: 8978, expected_value: Self-employed, label: employment type} + - {column: J, row: 8978, expected_value: Value, label: measure} + - {column: L, row: 8979, expected_value: G, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8980 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8980, expected_value: E12000009, label: geography} + - {column: D, row: 8980, expected_value: Males, label: sex} + - {column: E, row: 8980, expected_value: Self-employed, label: employment type} + - {column: J, row: 8980, expected_value: Value, label: measure} + - {column: L, row: 8981, expected_value: G, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8984 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8984, expected_value: E12000009, label: geography} + - {column: D, row: 8984, expected_value: Males, label: sex} + - {column: E, row: 8984, expected_value: Self-employed, label: employment type} + - {column: J, row: 8984, expected_value: Value, label: measure} + - {column: L, row: 8985, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8986 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8986, expected_value: E12000009, label: geography} + - {column: D, row: 8986, expected_value: Males, label: sex} + - {column: E, row: 8986, expected_value: Self-employed, label: employment type} + - {column: J, row: 8986, expected_value: Value, label: measure} + - {column: L, row: 8987, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8990 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8990, expected_value: E12000009, label: geography} + - {column: D, row: 8990, expected_value: Males, label: sex} + - {column: E, row: 8990, expected_value: Self-employed, label: employment type} + - {column: J, row: 8990, expected_value: Value, label: measure} + - {column: L, row: 8991, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8992 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8992, expected_value: E12000009, label: geography} + - {column: D, row: 8992, expected_value: Males, label: sex} + - {column: E, row: 8992, expected_value: Self-employed, label: employment type} + - {column: J, row: 8992, expected_value: Value, label: measure} + - {column: L, row: 8993, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8994 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8994, expected_value: E12000009, label: geography} + - {column: D, row: 8994, expected_value: Males, label: sex} + - {column: E, row: 8994, expected_value: Self-employed, label: employment type} + - {column: J, row: 8994, expected_value: Value, label: measure} + - {column: L, row: 8995, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8996 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8996, expected_value: E12000009, label: geography} + - {column: D, row: 8996, expected_value: Males, label: sex} + - {column: E, row: 8996, expected_value: Self-employed, label: employment type} + - {column: J, row: 8996, expected_value: Value, label: measure} + - {column: L, row: 8997, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8998 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8998, expected_value: E12000009, label: geography} + - {column: D, row: 8998, expected_value: Males, label: sex} + - {column: E, row: 8998, expected_value: Self-employed, label: employment type} + - {column: J, row: 8998, expected_value: Value, label: measure} + - {column: L, row: 8999, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9000 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9000, expected_value: E12000009, label: geography} + - {column: D, row: 9000, expected_value: Males, label: sex} + - {column: E, row: 9000, expected_value: Self-employed, label: employment type} + - {column: J, row: 9000, expected_value: Value, label: measure} + - {column: L, row: 9001, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.male.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.male.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.male.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: male + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8931 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8931, expected_value: E12000009, label: geography} + - {column: D, row: 8931, expected_value: Males, label: sex} + - {column: E, row: 8931, expected_value: Self-employed, label: employment type} + - {column: J, row: 8931, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8933 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8933, expected_value: E12000009, label: geography} + - {column: D, row: 8933, expected_value: Males, label: sex} + - {column: E, row: 8933, expected_value: Self-employed, label: employment type} + - {column: J, row: 8933, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8935 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8935, expected_value: E12000009, label: geography} + - {column: D, row: 8935, expected_value: Males, label: sex} + - {column: E, row: 8935, expected_value: Self-employed, label: employment type} + - {column: J, row: 8935, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8937 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8937, expected_value: E12000009, label: geography} + - {column: D, row: 8937, expected_value: Males, label: sex} + - {column: E, row: 8937, expected_value: Self-employed, label: employment type} + - {column: J, row: 8937, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8939 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8939, expected_value: E12000009, label: geography} + - {column: D, row: 8939, expected_value: Males, label: sex} + - {column: E, row: 8939, expected_value: Self-employed, label: employment type} + - {column: J, row: 8939, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8941 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8941, expected_value: E12000009, label: geography} + - {column: D, row: 8941, expected_value: Males, label: sex} + - {column: E, row: 8941, expected_value: Self-employed, label: employment type} + - {column: J, row: 8941, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8943 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8943, expected_value: E12000009, label: geography} + - {column: D, row: 8943, expected_value: Males, label: sex} + - {column: E, row: 8943, expected_value: Self-employed, label: employment type} + - {column: J, row: 8943, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8945 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8945, expected_value: E12000009, label: geography} + - {column: D, row: 8945, expected_value: Males, label: sex} + - {column: E, row: 8945, expected_value: Self-employed, label: employment type} + - {column: J, row: 8945, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8947 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8947, expected_value: E12000009, label: geography} + - {column: D, row: 8947, expected_value: Males, label: sex} + - {column: E, row: 8947, expected_value: Self-employed, label: employment type} + - {column: J, row: 8947, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8949 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8949, expected_value: E12000009, label: geography} + - {column: D, row: 8949, expected_value: Males, label: sex} + - {column: E, row: 8949, expected_value: Self-employed, label: employment type} + - {column: J, row: 8949, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8957 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8957, expected_value: E12000009, label: geography} + - {column: D, row: 8957, expected_value: Males, label: sex} + - {column: E, row: 8957, expected_value: Self-employed, label: employment type} + - {column: J, row: 8957, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8959 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8959, expected_value: E12000009, label: geography} + - {column: D, row: 8959, expected_value: Males, label: sex} + - {column: E, row: 8959, expected_value: Self-employed, label: employment type} + - {column: J, row: 8959, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8967 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8967, expected_value: E12000009, label: geography} + - {column: D, row: 8967, expected_value: Males, label: sex} + - {column: E, row: 8967, expected_value: Self-employed, label: employment type} + - {column: J, row: 8967, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8969 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8969, expected_value: E12000009, label: geography} + - {column: D, row: 8969, expected_value: Males, label: sex} + - {column: E, row: 8969, expected_value: Self-employed, label: employment type} + - {column: J, row: 8969, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8971 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8971, expected_value: E12000009, label: geography} + - {column: D, row: 8971, expected_value: Males, label: sex} + - {column: E, row: 8971, expected_value: Self-employed, label: employment type} + - {column: J, row: 8971, expected_value: Confidence, label: measure} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8973 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8973, expected_value: E12000009, label: geography} + - {column: D, row: 8973, expected_value: Males, label: sex} + - {column: E, row: 8973, expected_value: Self-employed, label: employment type} + - {column: J, row: 8973, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8975 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8975, expected_value: E12000009, label: geography} + - {column: D, row: 8975, expected_value: Males, label: sex} + - {column: E, row: 8975, expected_value: Self-employed, label: employment type} + - {column: J, row: 8975, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8977 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8977, expected_value: E12000009, label: geography} + - {column: D, row: 8977, expected_value: Males, label: sex} + - {column: E, row: 8977, expected_value: Self-employed, label: employment type} + - {column: J, row: 8977, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8985 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8985, expected_value: E12000009, label: geography} + - {column: D, row: 8985, expected_value: Males, label: sex} + - {column: E, row: 8985, expected_value: Self-employed, label: employment type} + - {column: J, row: 8985, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8987 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8987, expected_value: E12000009, label: geography} + - {column: D, row: 8987, expected_value: Males, label: sex} + - {column: E, row: 8987, expected_value: Self-employed, label: employment type} + - {column: J, row: 8987, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8991 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8991, expected_value: E12000009, label: geography} + - {column: D, row: 8991, expected_value: Males, label: sex} + - {column: E, row: 8991, expected_value: Self-employed, label: employment type} + - {column: J, row: 8991, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8993 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8993, expected_value: E12000009, label: geography} + - {column: D, row: 8993, expected_value: Males, label: sex} + - {column: E, row: 8993, expected_value: Self-employed, label: employment type} + - {column: J, row: 8993, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8995 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8995, expected_value: E12000009, label: geography} + - {column: D, row: 8995, expected_value: Males, label: sex} + - {column: E, row: 8995, expected_value: Self-employed, label: employment type} + - {column: J, row: 8995, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8997 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8997, expected_value: E12000009, label: geography} + - {column: D, row: 8997, expected_value: Males, label: sex} + - {column: E, row: 8997, expected_value: Self-employed, label: employment type} + - {column: J, row: 8997, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8999 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8999, expected_value: E12000009, label: geography} + - {column: D, row: 8999, expected_value: Males, label: sex} + - {column: E, row: 8999, expected_value: Self-employed, label: employment type} + - {column: J, row: 8999, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9001 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9001, expected_value: E12000009, label: geography} + - {column: D, row: 9001, expected_value: Males, label: sex} + - {column: E, row: 9001, expected_value: Self-employed, label: employment type} + - {column: J, row: 9001, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: male, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.all.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.all.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.all.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8570 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8570, expected_value: E12000009, label: geography} + - {column: D, row: 8570, expected_value: Females, label: sex} + - {column: E, row: 8570, expected_value: Total, label: employment type} + - {column: J, row: 8570, expected_value: Value, label: measure} + - {column: L, row: 8571, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8572 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8572, expected_value: E12000009, label: geography} + - {column: D, row: 8572, expected_value: Females, label: sex} + - {column: E, row: 8572, expected_value: Total, label: employment type} + - {column: J, row: 8572, expected_value: Value, label: measure} + - {column: L, row: 8573, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8574 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8574, expected_value: E12000009, label: geography} + - {column: D, row: 8574, expected_value: Females, label: sex} + - {column: E, row: 8574, expected_value: Total, label: employment type} + - {column: J, row: 8574, expected_value: Value, label: measure} + - {column: L, row: 8575, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8576 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8576, expected_value: E12000009, label: geography} + - {column: D, row: 8576, expected_value: Females, label: sex} + - {column: E, row: 8576, expected_value: Total, label: employment type} + - {column: J, row: 8576, expected_value: Value, label: measure} + - {column: L, row: 8577, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8578 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8578, expected_value: E12000009, label: geography} + - {column: D, row: 8578, expected_value: Females, label: sex} + - {column: E, row: 8578, expected_value: Total, label: employment type} + - {column: J, row: 8578, expected_value: Value, label: measure} + - {column: L, row: 8579, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8580 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8580, expected_value: E12000009, label: geography} + - {column: D, row: 8580, expected_value: Females, label: sex} + - {column: E, row: 8580, expected_value: Total, label: employment type} + - {column: J, row: 8580, expected_value: Value, label: measure} + - {column: L, row: 8581, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8582 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8582, expected_value: E12000009, label: geography} + - {column: D, row: 8582, expected_value: Females, label: sex} + - {column: E, row: 8582, expected_value: Total, label: employment type} + - {column: J, row: 8582, expected_value: Value, label: measure} + - {column: L, row: 8583, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8584 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8584, expected_value: E12000009, label: geography} + - {column: D, row: 8584, expected_value: Females, label: sex} + - {column: E, row: 8584, expected_value: Total, label: employment type} + - {column: J, row: 8584, expected_value: Value, label: measure} + - {column: L, row: 8585, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8586 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8586, expected_value: E12000009, label: geography} + - {column: D, row: 8586, expected_value: Females, label: sex} + - {column: E, row: 8586, expected_value: Total, label: employment type} + - {column: J, row: 8586, expected_value: Value, label: measure} + - {column: L, row: 8587, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8588 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8588, expected_value: E12000009, label: geography} + - {column: D, row: 8588, expected_value: Females, label: sex} + - {column: E, row: 8588, expected_value: Total, label: employment type} + - {column: J, row: 8588, expected_value: Value, label: measure} + - {column: L, row: 8589, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8590 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8590, expected_value: E12000009, label: geography} + - {column: D, row: 8590, expected_value: Females, label: sex} + - {column: E, row: 8590, expected_value: Total, label: employment type} + - {column: J, row: 8590, expected_value: Value, label: measure} + - {column: L, row: 8591, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8592 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8592, expected_value: E12000009, label: geography} + - {column: D, row: 8592, expected_value: Females, label: sex} + - {column: E, row: 8592, expected_value: Total, label: employment type} + - {column: J, row: 8592, expected_value: Value, label: measure} + - {column: L, row: 8593, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8594 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8594, expected_value: E12000009, label: geography} + - {column: D, row: 8594, expected_value: Females, label: sex} + - {column: E, row: 8594, expected_value: Total, label: employment type} + - {column: J, row: 8594, expected_value: Value, label: measure} + - {column: L, row: 8595, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8596 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8596, expected_value: E12000009, label: geography} + - {column: D, row: 8596, expected_value: Females, label: sex} + - {column: E, row: 8596, expected_value: Total, label: employment type} + - {column: J, row: 8596, expected_value: Value, label: measure} + - {column: L, row: 8597, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8598 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8598, expected_value: E12000009, label: geography} + - {column: D, row: 8598, expected_value: Females, label: sex} + - {column: E, row: 8598, expected_value: Total, label: employment type} + - {column: J, row: 8598, expected_value: Value, label: measure} + - {column: L, row: 8599, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8600 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8600, expected_value: E12000009, label: geography} + - {column: D, row: 8600, expected_value: Females, label: sex} + - {column: E, row: 8600, expected_value: Total, label: employment type} + - {column: J, row: 8600, expected_value: Value, label: measure} + - {column: L, row: 8601, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8602 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8602, expected_value: E12000009, label: geography} + - {column: D, row: 8602, expected_value: Females, label: sex} + - {column: E, row: 8602, expected_value: Total, label: employment type} + - {column: J, row: 8602, expected_value: Value, label: measure} + - {column: L, row: 8603, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8604 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8604, expected_value: E12000009, label: geography} + - {column: D, row: 8604, expected_value: Females, label: sex} + - {column: E, row: 8604, expected_value: Total, label: employment type} + - {column: J, row: 8604, expected_value: Value, label: measure} + - {column: L, row: 8605, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8606 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8606, expected_value: E12000009, label: geography} + - {column: D, row: 8606, expected_value: Females, label: sex} + - {column: E, row: 8606, expected_value: Total, label: employment type} + - {column: J, row: 8606, expected_value: Value, label: measure} + - {column: L, row: 8607, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8608 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8608, expected_value: E12000009, label: geography} + - {column: D, row: 8608, expected_value: Females, label: sex} + - {column: E, row: 8608, expected_value: Total, label: employment type} + - {column: J, row: 8608, expected_value: Value, label: measure} + - {column: L, row: 8609, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8610 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8610, expected_value: E12000009, label: geography} + - {column: D, row: 8610, expected_value: Females, label: sex} + - {column: E, row: 8610, expected_value: Total, label: employment type} + - {column: J, row: 8610, expected_value: Value, label: measure} + - {column: L, row: 8611, expected_value: A, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8612 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8612, expected_value: E12000009, label: geography} + - {column: D, row: 8612, expected_value: Females, label: sex} + - {column: E, row: 8612, expected_value: Total, label: employment type} + - {column: J, row: 8612, expected_value: Value, label: measure} + - {column: L, row: 8613, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8614 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8614, expected_value: E12000009, label: geography} + - {column: D, row: 8614, expected_value: Females, label: sex} + - {column: E, row: 8614, expected_value: Total, label: employment type} + - {column: J, row: 8614, expected_value: Value, label: measure} + - {column: L, row: 8615, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8616 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8616, expected_value: E12000009, label: geography} + - {column: D, row: 8616, expected_value: Females, label: sex} + - {column: E, row: 8616, expected_value: Total, label: employment type} + - {column: J, row: 8616, expected_value: Value, label: measure} + - {column: L, row: 8617, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8618 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8618, expected_value: E12000009, label: geography} + - {column: D, row: 8618, expected_value: Females, label: sex} + - {column: E, row: 8618, expected_value: Total, label: employment type} + - {column: J, row: 8618, expected_value: Value, label: measure} + - {column: L, row: 8619, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8620 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8620, expected_value: E12000009, label: geography} + - {column: D, row: 8620, expected_value: Females, label: sex} + - {column: E, row: 8620, expected_value: Total, label: employment type} + - {column: J, row: 8620, expected_value: Value, label: measure} + - {column: L, row: 8621, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8624 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8624, expected_value: E12000009, label: geography} + - {column: D, row: 8624, expected_value: Females, label: sex} + - {column: E, row: 8624, expected_value: Total, label: employment type} + - {column: J, row: 8624, expected_value: Value, label: measure} + - {column: L, row: 8625, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8626 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8626, expected_value: E12000009, label: geography} + - {column: D, row: 8626, expected_value: Females, label: sex} + - {column: E, row: 8626, expected_value: Total, label: employment type} + - {column: J, row: 8626, expected_value: Value, label: measure} + - {column: L, row: 8627, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8628 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8628, expected_value: E12000009, label: geography} + - {column: D, row: 8628, expected_value: Females, label: sex} + - {column: E, row: 8628, expected_value: Total, label: employment type} + - {column: J, row: 8628, expected_value: Value, label: measure} + - {column: L, row: 8629, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8630 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8630, expected_value: E12000009, label: geography} + - {column: D, row: 8630, expected_value: Females, label: sex} + - {column: E, row: 8630, expected_value: Total, label: employment type} + - {column: J, row: 8630, expected_value: Value, label: measure} + - {column: L, row: 8631, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8632 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8632, expected_value: E12000009, label: geography} + - {column: D, row: 8632, expected_value: Females, label: sex} + - {column: E, row: 8632, expected_value: Total, label: employment type} + - {column: J, row: 8632, expected_value: Value, label: measure} + - {column: L, row: 8633, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8634 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8634, expected_value: E12000009, label: geography} + - {column: D, row: 8634, expected_value: Females, label: sex} + - {column: E, row: 8634, expected_value: Total, label: employment type} + - {column: J, row: 8634, expected_value: Value, label: measure} + - {column: L, row: 8635, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8636 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8636, expected_value: E12000009, label: geography} + - {column: D, row: 8636, expected_value: Females, label: sex} + - {column: E, row: 8636, expected_value: Total, label: employment type} + - {column: J, row: 8636, expected_value: Value, label: measure} + - {column: L, row: 8637, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8638 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8638, expected_value: E12000009, label: geography} + - {column: D, row: 8638, expected_value: Females, label: sex} + - {column: E, row: 8638, expected_value: Total, label: employment type} + - {column: J, row: 8638, expected_value: Value, label: measure} + - {column: L, row: 8639, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8640 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8640, expected_value: E12000009, label: geography} + - {column: D, row: 8640, expected_value: Females, label: sex} + - {column: E, row: 8640, expected_value: Total, label: employment type} + - {column: J, row: 8640, expected_value: Value, label: measure} + - {column: L, row: 8641, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.all.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.all.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.all.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: all + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8571 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8571, expected_value: E12000009, label: geography} + - {column: D, row: 8571, expected_value: Females, label: sex} + - {column: E, row: 8571, expected_value: Total, label: employment type} + - {column: J, row: 8571, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8573 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8573, expected_value: E12000009, label: geography} + - {column: D, row: 8573, expected_value: Females, label: sex} + - {column: E, row: 8573, expected_value: Total, label: employment type} + - {column: J, row: 8573, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8575 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8575, expected_value: E12000009, label: geography} + - {column: D, row: 8575, expected_value: Females, label: sex} + - {column: E, row: 8575, expected_value: Total, label: employment type} + - {column: J, row: 8575, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8577 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8577, expected_value: E12000009, label: geography} + - {column: D, row: 8577, expected_value: Females, label: sex} + - {column: E, row: 8577, expected_value: Total, label: employment type} + - {column: J, row: 8577, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8579 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8579, expected_value: E12000009, label: geography} + - {column: D, row: 8579, expected_value: Females, label: sex} + - {column: E, row: 8579, expected_value: Total, label: employment type} + - {column: J, row: 8579, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8581 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8581, expected_value: E12000009, label: geography} + - {column: D, row: 8581, expected_value: Females, label: sex} + - {column: E, row: 8581, expected_value: Total, label: employment type} + - {column: J, row: 8581, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8583 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8583, expected_value: E12000009, label: geography} + - {column: D, row: 8583, expected_value: Females, label: sex} + - {column: E, row: 8583, expected_value: Total, label: employment type} + - {column: J, row: 8583, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8585 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8585, expected_value: E12000009, label: geography} + - {column: D, row: 8585, expected_value: Females, label: sex} + - {column: E, row: 8585, expected_value: Total, label: employment type} + - {column: J, row: 8585, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8587 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8587, expected_value: E12000009, label: geography} + - {column: D, row: 8587, expected_value: Females, label: sex} + - {column: E, row: 8587, expected_value: Total, label: employment type} + - {column: J, row: 8587, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8589 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8589, expected_value: E12000009, label: geography} + - {column: D, row: 8589, expected_value: Females, label: sex} + - {column: E, row: 8589, expected_value: Total, label: employment type} + - {column: J, row: 8589, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8591 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8591, expected_value: E12000009, label: geography} + - {column: D, row: 8591, expected_value: Females, label: sex} + - {column: E, row: 8591, expected_value: Total, label: employment type} + - {column: J, row: 8591, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8593 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8593, expected_value: E12000009, label: geography} + - {column: D, row: 8593, expected_value: Females, label: sex} + - {column: E, row: 8593, expected_value: Total, label: employment type} + - {column: J, row: 8593, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8595 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8595, expected_value: E12000009, label: geography} + - {column: D, row: 8595, expected_value: Females, label: sex} + - {column: E, row: 8595, expected_value: Total, label: employment type} + - {column: J, row: 8595, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8597 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8597, expected_value: E12000009, label: geography} + - {column: D, row: 8597, expected_value: Females, label: sex} + - {column: E, row: 8597, expected_value: Total, label: employment type} + - {column: J, row: 8597, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8599 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8599, expected_value: E12000009, label: geography} + - {column: D, row: 8599, expected_value: Females, label: sex} + - {column: E, row: 8599, expected_value: Total, label: employment type} + - {column: J, row: 8599, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8601 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8601, expected_value: E12000009, label: geography} + - {column: D, row: 8601, expected_value: Females, label: sex} + - {column: E, row: 8601, expected_value: Total, label: employment type} + - {column: J, row: 8601, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8603 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8603, expected_value: E12000009, label: geography} + - {column: D, row: 8603, expected_value: Females, label: sex} + - {column: E, row: 8603, expected_value: Total, label: employment type} + - {column: J, row: 8603, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8605 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8605, expected_value: E12000009, label: geography} + - {column: D, row: 8605, expected_value: Females, label: sex} + - {column: E, row: 8605, expected_value: Total, label: employment type} + - {column: J, row: 8605, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8607 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8607, expected_value: E12000009, label: geography} + - {column: D, row: 8607, expected_value: Females, label: sex} + - {column: E, row: 8607, expected_value: Total, label: employment type} + - {column: J, row: 8607, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8609 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8609, expected_value: E12000009, label: geography} + - {column: D, row: 8609, expected_value: Females, label: sex} + - {column: E, row: 8609, expected_value: Total, label: employment type} + - {column: J, row: 8609, expected_value: Confidence, label: measure} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8611 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8611, expected_value: E12000009, label: geography} + - {column: D, row: 8611, expected_value: Females, label: sex} + - {column: E, row: 8611, expected_value: Total, label: employment type} + - {column: J, row: 8611, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8615 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8615, expected_value: E12000009, label: geography} + - {column: D, row: 8615, expected_value: Females, label: sex} + - {column: E, row: 8615, expected_value: Total, label: employment type} + - {column: J, row: 8615, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8617 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8617, expected_value: E12000009, label: geography} + - {column: D, row: 8617, expected_value: Females, label: sex} + - {column: E, row: 8617, expected_value: Total, label: employment type} + - {column: J, row: 8617, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8619 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8619, expected_value: E12000009, label: geography} + - {column: D, row: 8619, expected_value: Females, label: sex} + - {column: E, row: 8619, expected_value: Total, label: employment type} + - {column: J, row: 8619, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8621 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8621, expected_value: E12000009, label: geography} + - {column: D, row: 8621, expected_value: Females, label: sex} + - {column: E, row: 8621, expected_value: Total, label: employment type} + - {column: J, row: 8621, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8625 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8625, expected_value: E12000009, label: geography} + - {column: D, row: 8625, expected_value: Females, label: sex} + - {column: E, row: 8625, expected_value: Total, label: employment type} + - {column: J, row: 8625, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8627 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8627, expected_value: E12000009, label: geography} + - {column: D, row: 8627, expected_value: Females, label: sex} + - {column: E, row: 8627, expected_value: Total, label: employment type} + - {column: J, row: 8627, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8629 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8629, expected_value: E12000009, label: geography} + - {column: D, row: 8629, expected_value: Females, label: sex} + - {column: E, row: 8629, expected_value: Total, label: employment type} + - {column: J, row: 8629, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8631 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8631, expected_value: E12000009, label: geography} + - {column: D, row: 8631, expected_value: Females, label: sex} + - {column: E, row: 8631, expected_value: Total, label: employment type} + - {column: J, row: 8631, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8633 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8633, expected_value: E12000009, label: geography} + - {column: D, row: 8633, expected_value: Females, label: sex} + - {column: E, row: 8633, expected_value: Total, label: employment type} + - {column: J, row: 8633, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8635 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8635, expected_value: E12000009, label: geography} + - {column: D, row: 8635, expected_value: Females, label: sex} + - {column: E, row: 8635, expected_value: Total, label: employment type} + - {column: J, row: 8635, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8637 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8637, expected_value: E12000009, label: geography} + - {column: D, row: 8637, expected_value: Females, label: sex} + - {column: E, row: 8637, expected_value: Total, label: employment type} + - {column: J, row: 8637, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8639 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8639, expected_value: E12000009, label: geography} + - {column: D, row: 8639, expected_value: Females, label: sex} + - {column: E, row: 8639, expected_value: Total, label: employment type} + - {column: J, row: 8639, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8641 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8641, expected_value: E12000009, label: geography} + - {column: D, row: 8641, expected_value: Females, label: sex} + - {column: E, row: 8641, expected_value: Total, label: employment type} + - {column: J, row: 8641, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: all, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.employee.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.employee.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.employee.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8786 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8786, expected_value: E12000009, label: geography} + - {column: D, row: 8786, expected_value: Females, label: sex} + - {column: E, row: 8786, expected_value: Employee, label: employment type} + - {column: J, row: 8786, expected_value: Value, label: measure} + - {column: L, row: 8787, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8788 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8788, expected_value: E12000009, label: geography} + - {column: D, row: 8788, expected_value: Females, label: sex} + - {column: E, row: 8788, expected_value: Employee, label: employment type} + - {column: J, row: 8788, expected_value: Value, label: measure} + - {column: L, row: 8789, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8790 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8790, expected_value: E12000009, label: geography} + - {column: D, row: 8790, expected_value: Females, label: sex} + - {column: E, row: 8790, expected_value: Employee, label: employment type} + - {column: J, row: 8790, expected_value: Value, label: measure} + - {column: L, row: 8791, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8792 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8792, expected_value: E12000009, label: geography} + - {column: D, row: 8792, expected_value: Females, label: sex} + - {column: E, row: 8792, expected_value: Employee, label: employment type} + - {column: J, row: 8792, expected_value: Value, label: measure} + - {column: L, row: 8793, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8794 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8794, expected_value: E12000009, label: geography} + - {column: D, row: 8794, expected_value: Females, label: sex} + - {column: E, row: 8794, expected_value: Employee, label: employment type} + - {column: J, row: 8794, expected_value: Value, label: measure} + - {column: L, row: 8795, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8796 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8796, expected_value: E12000009, label: geography} + - {column: D, row: 8796, expected_value: Females, label: sex} + - {column: E, row: 8796, expected_value: Employee, label: employment type} + - {column: J, row: 8796, expected_value: Value, label: measure} + - {column: L, row: 8797, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8798 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8798, expected_value: E12000009, label: geography} + - {column: D, row: 8798, expected_value: Females, label: sex} + - {column: E, row: 8798, expected_value: Employee, label: employment type} + - {column: J, row: 8798, expected_value: Value, label: measure} + - {column: L, row: 8799, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8800 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8800, expected_value: E12000009, label: geography} + - {column: D, row: 8800, expected_value: Females, label: sex} + - {column: E, row: 8800, expected_value: Employee, label: employment type} + - {column: J, row: 8800, expected_value: Value, label: measure} + - {column: L, row: 8801, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8802 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8802, expected_value: E12000009, label: geography} + - {column: D, row: 8802, expected_value: Females, label: sex} + - {column: E, row: 8802, expected_value: Employee, label: employment type} + - {column: J, row: 8802, expected_value: Value, label: measure} + - {column: L, row: 8803, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8804 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8804, expected_value: E12000009, label: geography} + - {column: D, row: 8804, expected_value: Females, label: sex} + - {column: E, row: 8804, expected_value: Employee, label: employment type} + - {column: J, row: 8804, expected_value: Value, label: measure} + - {column: L, row: 8805, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8806 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8806, expected_value: E12000009, label: geography} + - {column: D, row: 8806, expected_value: Females, label: sex} + - {column: E, row: 8806, expected_value: Employee, label: employment type} + - {column: J, row: 8806, expected_value: Value, label: measure} + - {column: L, row: 8807, expected_value: A, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8808 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8808, expected_value: E12000009, label: geography} + - {column: D, row: 8808, expected_value: Females, label: sex} + - {column: E, row: 8808, expected_value: Employee, label: employment type} + - {column: J, row: 8808, expected_value: Value, label: measure} + - {column: L, row: 8809, expected_value: A, label: interval status} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8810 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8810, expected_value: E12000009, label: geography} + - {column: D, row: 8810, expected_value: Females, label: sex} + - {column: E, row: 8810, expected_value: Employee, label: employment type} + - {column: J, row: 8810, expected_value: Value, label: measure} + - {column: L, row: 8811, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8812 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8812, expected_value: E12000009, label: geography} + - {column: D, row: 8812, expected_value: Females, label: sex} + - {column: E, row: 8812, expected_value: Employee, label: employment type} + - {column: J, row: 8812, expected_value: Value, label: measure} + - {column: L, row: 8813, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8814 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8814, expected_value: E12000009, label: geography} + - {column: D, row: 8814, expected_value: Females, label: sex} + - {column: E, row: 8814, expected_value: Employee, label: employment type} + - {column: J, row: 8814, expected_value: Value, label: measure} + - {column: L, row: 8815, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8816 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8816, expected_value: E12000009, label: geography} + - {column: D, row: 8816, expected_value: Females, label: sex} + - {column: E, row: 8816, expected_value: Employee, label: employment type} + - {column: J, row: 8816, expected_value: Value, label: measure} + - {column: L, row: 8817, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8818 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8818, expected_value: E12000009, label: geography} + - {column: D, row: 8818, expected_value: Females, label: sex} + - {column: E, row: 8818, expected_value: Employee, label: employment type} + - {column: J, row: 8818, expected_value: Value, label: measure} + - {column: L, row: 8819, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8820 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8820, expected_value: E12000009, label: geography} + - {column: D, row: 8820, expected_value: Females, label: sex} + - {column: E, row: 8820, expected_value: Employee, label: employment type} + - {column: J, row: 8820, expected_value: Value, label: measure} + - {column: L, row: 8821, expected_value: A, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8822 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8822, expected_value: E12000009, label: geography} + - {column: D, row: 8822, expected_value: Females, label: sex} + - {column: E, row: 8822, expected_value: Employee, label: employment type} + - {column: J, row: 8822, expected_value: Value, label: measure} + - {column: L, row: 8823, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 8824 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 8824, expected_value: E12000009, label: geography} + - {column: D, row: 8824, expected_value: Females, label: sex} + - {column: E, row: 8824, expected_value: Employee, label: employment type} + - {column: J, row: 8824, expected_value: Value, label: measure} + - {column: L, row: 8825, expected_value: G, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 8826 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 8826, expected_value: E12000009, label: geography} + - {column: D, row: 8826, expected_value: Females, label: sex} + - {column: E, row: 8826, expected_value: Employee, label: employment type} + - {column: J, row: 8826, expected_value: Value, label: measure} + - {column: L, row: 8827, expected_value: G, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 8828 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 8828, expected_value: E12000009, label: geography} + - {column: D, row: 8828, expected_value: Females, label: sex} + - {column: E, row: 8828, expected_value: Employee, label: employment type} + - {column: J, row: 8828, expected_value: Value, label: measure} + - {column: L, row: 8829, expected_value: G, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8830 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8830, expected_value: E12000009, label: geography} + - {column: D, row: 8830, expected_value: Females, label: sex} + - {column: E, row: 8830, expected_value: Employee, label: employment type} + - {column: J, row: 8830, expected_value: Value, label: measure} + - {column: L, row: 8831, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8832 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8832, expected_value: E12000009, label: geography} + - {column: D, row: 8832, expected_value: Females, label: sex} + - {column: E, row: 8832, expected_value: Employee, label: employment type} + - {column: J, row: 8832, expected_value: Value, label: measure} + - {column: L, row: 8833, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8834 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8834, expected_value: E12000009, label: geography} + - {column: D, row: 8834, expected_value: Females, label: sex} + - {column: E, row: 8834, expected_value: Employee, label: employment type} + - {column: J, row: 8834, expected_value: Value, label: measure} + - {column: L, row: 8835, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8836 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8836, expected_value: E12000009, label: geography} + - {column: D, row: 8836, expected_value: Females, label: sex} + - {column: E, row: 8836, expected_value: Employee, label: employment type} + - {column: J, row: 8836, expected_value: Value, label: measure} + - {column: L, row: 8837, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8840 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8840, expected_value: E12000009, label: geography} + - {column: D, row: 8840, expected_value: Females, label: sex} + - {column: E, row: 8840, expected_value: Employee, label: employment type} + - {column: J, row: 8840, expected_value: Value, label: measure} + - {column: L, row: 8841, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8842 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8842, expected_value: E12000009, label: geography} + - {column: D, row: 8842, expected_value: Females, label: sex} + - {column: E, row: 8842, expected_value: Employee, label: employment type} + - {column: J, row: 8842, expected_value: Value, label: measure} + - {column: L, row: 8843, expected_value: A, label: interval status} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8844 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8844, expected_value: E12000009, label: geography} + - {column: D, row: 8844, expected_value: Females, label: sex} + - {column: E, row: 8844, expected_value: Employee, label: employment type} + - {column: J, row: 8844, expected_value: Value, label: measure} + - {column: L, row: 8845, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8846 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8846, expected_value: E12000009, label: geography} + - {column: D, row: 8846, expected_value: Females, label: sex} + - {column: E, row: 8846, expected_value: Employee, label: employment type} + - {column: J, row: 8846, expected_value: Value, label: measure} + - {column: L, row: 8847, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8848 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8848, expected_value: E12000009, label: geography} + - {column: D, row: 8848, expected_value: Females, label: sex} + - {column: E, row: 8848, expected_value: Employee, label: employment type} + - {column: J, row: 8848, expected_value: Value, label: measure} + - {column: L, row: 8849, expected_value: A, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8850 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8850, expected_value: E12000009, label: geography} + - {column: D, row: 8850, expected_value: Females, label: sex} + - {column: E, row: 8850, expected_value: Employee, label: employment type} + - {column: J, row: 8850, expected_value: Value, label: measure} + - {column: L, row: 8851, expected_value: A, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8852 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8852, expected_value: E12000009, label: geography} + - {column: D, row: 8852, expected_value: Females, label: sex} + - {column: E, row: 8852, expected_value: Employee, label: employment type} + - {column: J, row: 8852, expected_value: Value, label: measure} + - {column: L, row: 8853, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8854 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8854, expected_value: E12000009, label: geography} + - {column: D, row: 8854, expected_value: Females, label: sex} + - {column: E, row: 8854, expected_value: Employee, label: employment type} + - {column: J, row: 8854, expected_value: Value, label: measure} + - {column: L, row: 8855, expected_value: A, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8856 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8856, expected_value: E12000009, label: geography} + - {column: D, row: 8856, expected_value: Females, label: sex} + - {column: E, row: 8856, expected_value: Employee, label: employment type} + - {column: J, row: 8856, expected_value: Value, label: measure} + - {column: L, row: 8857, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.employee.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.employee.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.employee.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: employee + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: employee, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 8787 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 8787, expected_value: E12000009, label: geography} + - {column: D, row: 8787, expected_value: Females, label: sex} + - {column: E, row: 8787, expected_value: Employee, label: employment type} + - {column: J, row: 8787, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 8789 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 8789, expected_value: E12000009, label: geography} + - {column: D, row: 8789, expected_value: Females, label: sex} + - {column: E, row: 8789, expected_value: Employee, label: employment type} + - {column: J, row: 8789, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8791 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 8791, expected_value: E12000009, label: geography} + - {column: D, row: 8791, expected_value: Females, label: sex} + - {column: E, row: 8791, expected_value: Employee, label: employment type} + - {column: J, row: 8791, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 8793 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 8793, expected_value: E12000009, label: geography} + - {column: D, row: 8793, expected_value: Females, label: sex} + - {column: E, row: 8793, expected_value: Employee, label: employment type} + - {column: J, row: 8793, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 8795 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 8795, expected_value: E12000009, label: geography} + - {column: D, row: 8795, expected_value: Females, label: sex} + - {column: E, row: 8795, expected_value: Employee, label: employment type} + - {column: J, row: 8795, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 8797 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 8797, expected_value: E12000009, label: geography} + - {column: D, row: 8797, expected_value: Females, label: sex} + - {column: E, row: 8797, expected_value: Employee, label: employment type} + - {column: J, row: 8797, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 8799 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 8799, expected_value: E12000009, label: geography} + - {column: D, row: 8799, expected_value: Females, label: sex} + - {column: E, row: 8799, expected_value: Employee, label: employment type} + - {column: J, row: 8799, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 8801 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 8801, expected_value: E12000009, label: geography} + - {column: D, row: 8801, expected_value: Females, label: sex} + - {column: E, row: 8801, expected_value: Employee, label: employment type} + - {column: J, row: 8801, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 8803 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 8803, expected_value: E12000009, label: geography} + - {column: D, row: 8803, expected_value: Females, label: sex} + - {column: E, row: 8803, expected_value: Employee, label: employment type} + - {column: J, row: 8803, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 8805 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 8805, expected_value: E12000009, label: geography} + - {column: D, row: 8805, expected_value: Females, label: sex} + - {column: E, row: 8805, expected_value: Employee, label: employment type} + - {column: J, row: 8805, expected_value: Confidence, label: measure} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 8807 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 8807, expected_value: E12000009, label: geography} + - {column: D, row: 8807, expected_value: Females, label: sex} + - {column: E, row: 8807, expected_value: Employee, label: employment type} + - {column: J, row: 8807, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 8809 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 8809, expected_value: E12000009, label: geography} + - {column: D, row: 8809, expected_value: Females, label: sex} + - {column: E, row: 8809, expected_value: Employee, label: employment type} + - {column: J, row: 8809, expected_value: Confidence, label: measure} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 8811 + expected_row_header_column: H + expected_row_header: '33 : Protective Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 33} + guard_cells: + - {column: B, row: 8811, expected_value: E12000009, label: geography} + - {column: D, row: 8811, expected_value: Females, label: sex} + - {column: E, row: 8811, expected_value: Employee, label: employment type} + - {column: J, row: 8811, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 8813 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 8813, expected_value: E12000009, label: geography} + - {column: D, row: 8813, expected_value: Females, label: sex} + - {column: E, row: 8813, expected_value: Employee, label: employment type} + - {column: J, row: 8813, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 8815 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 8815, expected_value: E12000009, label: geography} + - {column: D, row: 8815, expected_value: Females, label: sex} + - {column: E, row: 8815, expected_value: Employee, label: employment type} + - {column: J, row: 8815, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 8817 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 8817, expected_value: E12000009, label: geography} + - {column: D, row: 8817, expected_value: Females, label: sex} + - {column: E, row: 8817, expected_value: Employee, label: employment type} + - {column: J, row: 8817, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 8819 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 8819, expected_value: E12000009, label: geography} + - {column: D, row: 8819, expected_value: Females, label: sex} + - {column: E, row: 8819, expected_value: Employee, label: employment type} + - {column: J, row: 8819, expected_value: Confidence, label: measure} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 8821 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 8821, expected_value: E12000009, label: geography} + - {column: D, row: 8821, expected_value: Females, label: sex} + - {column: E, row: 8821, expected_value: Employee, label: employment type} + - {column: J, row: 8821, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 8823 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 8823, expected_value: E12000009, label: geography} + - {column: D, row: 8823, expected_value: Females, label: sex} + - {column: E, row: 8823, expected_value: Employee, label: employment type} + - {column: J, row: 8823, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 8831 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 8831, expected_value: E12000009, label: geography} + - {column: D, row: 8831, expected_value: Females, label: sex} + - {column: E, row: 8831, expected_value: Employee, label: employment type} + - {column: J, row: 8831, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 8833 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 8833, expected_value: E12000009, label: geography} + - {column: D, row: 8833, expected_value: Females, label: sex} + - {column: E, row: 8833, expected_value: Employee, label: employment type} + - {column: J, row: 8833, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 8835 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 8835, expected_value: E12000009, label: geography} + - {column: D, row: 8835, expected_value: Females, label: sex} + - {column: E, row: 8835, expected_value: Employee, label: employment type} + - {column: J, row: 8835, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 8837 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 8837, expected_value: E12000009, label: geography} + - {column: D, row: 8837, expected_value: Females, label: sex} + - {column: E, row: 8837, expected_value: Employee, label: employment type} + - {column: J, row: 8837, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 8841 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 8841, expected_value: E12000009, label: geography} + - {column: D, row: 8841, expected_value: Females, label: sex} + - {column: E, row: 8841, expected_value: Employee, label: employment type} + - {column: J, row: 8841, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 8843 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 8843, expected_value: E12000009, label: geography} + - {column: D, row: 8843, expected_value: Females, label: sex} + - {column: E, row: 8843, expected_value: Employee, label: employment type} + - {column: J, row: 8843, expected_value: Confidence, label: measure} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 8845 + expected_row_header_column: H + expected_row_header: '72 : Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 72} + guard_cells: + - {column: B, row: 8845, expected_value: E12000009, label: geography} + - {column: D, row: 8845, expected_value: Females, label: sex} + - {column: E, row: 8845, expected_value: Employee, label: employment type} + - {column: J, row: 8845, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 8847 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 8847, expected_value: E12000009, label: geography} + - {column: D, row: 8847, expected_value: Females, label: sex} + - {column: E, row: 8847, expected_value: Employee, label: employment type} + - {column: J, row: 8847, expected_value: Confidence, label: measure} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 8849 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 8849, expected_value: E12000009, label: geography} + - {column: D, row: 8849, expected_value: Females, label: sex} + - {column: E, row: 8849, expected_value: Employee, label: employment type} + - {column: J, row: 8849, expected_value: Confidence, label: measure} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 8851 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 8851, expected_value: E12000009, label: geography} + - {column: D, row: 8851, expected_value: Females, label: sex} + - {column: E, row: 8851, expected_value: Employee, label: employment type} + - {column: J, row: 8851, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 8853 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 8853, expected_value: E12000009, label: geography} + - {column: D, row: 8853, expected_value: Females, label: sex} + - {column: E, row: 8853, expected_value: Employee, label: employment type} + - {column: J, row: 8853, expected_value: Confidence, label: measure} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 8855 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 8855, expected_value: E12000009, label: geography} + - {column: D, row: 8855, expected_value: Females, label: sex} + - {column: E, row: 8855, expected_value: Employee, label: employment type} + - {column: J, row: 8855, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 8857 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 8857, expected_value: E12000009, label: geography} + - {column: D, row: 8857, expected_value: Females, label: sex} + - {column: E, row: 8857, expected_value: Employee, label: employment type} + - {column: J, row: 8857, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: employee, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.self_employed.estimate + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.self_employed.estimate.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.self_employed.estimate + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9002 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9002, expected_value: E12000009, label: geography} + - {column: D, row: 9002, expected_value: Females, label: sex} + - {column: E, row: 9002, expected_value: Self-employed, label: employment type} + - {column: J, row: 9002, expected_value: Value, label: measure} + - {column: L, row: 9003, expected_value: A, label: interval status} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9004 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9004, expected_value: E12000009, label: geography} + - {column: D, row: 9004, expected_value: Females, label: sex} + - {column: E, row: 9004, expected_value: Self-employed, label: employment type} + - {column: J, row: 9004, expected_value: Value, label: measure} + - {column: L, row: 9005, expected_value: A, label: interval status} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9006 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9006, expected_value: E12000009, label: geography} + - {column: D, row: 9006, expected_value: Females, label: sex} + - {column: E, row: 9006, expected_value: Self-employed, label: employment type} + - {column: J, row: 9006, expected_value: Value, label: measure} + - {column: L, row: 9007, expected_value: A, label: interval status} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9008 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9008, expected_value: E12000009, label: geography} + - {column: D, row: 9008, expected_value: Females, label: sex} + - {column: E, row: 9008, expected_value: Self-employed, label: employment type} + - {column: J, row: 9008, expected_value: Value, label: measure} + - {column: L, row: 9009, expected_value: A, label: interval status} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9010 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9010, expected_value: E12000009, label: geography} + - {column: D, row: 9010, expected_value: Females, label: sex} + - {column: E, row: 9010, expected_value: Self-employed, label: employment type} + - {column: J, row: 9010, expected_value: Value, label: measure} + - {column: L, row: 9011, expected_value: A, label: interval status} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9012 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9012, expected_value: E12000009, label: geography} + - {column: D, row: 9012, expected_value: Females, label: sex} + - {column: E, row: 9012, expected_value: Self-employed, label: employment type} + - {column: J, row: 9012, expected_value: Value, label: measure} + - {column: L, row: 9013, expected_value: A, label: interval status} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9014 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9014, expected_value: E12000009, label: geography} + - {column: D, row: 9014, expected_value: Females, label: sex} + - {column: E, row: 9014, expected_value: Self-employed, label: employment type} + - {column: J, row: 9014, expected_value: Value, label: measure} + - {column: L, row: 9015, expected_value: A, label: interval status} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9016 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9016, expected_value: E12000009, label: geography} + - {column: D, row: 9016, expected_value: Females, label: sex} + - {column: E, row: 9016, expected_value: Self-employed, label: employment type} + - {column: J, row: 9016, expected_value: Value, label: measure} + - {column: L, row: 9017, expected_value: A, label: interval status} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9018 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9018, expected_value: E12000009, label: geography} + - {column: D, row: 9018, expected_value: Females, label: sex} + - {column: E, row: 9018, expected_value: Self-employed, label: employment type} + - {column: J, row: 9018, expected_value: Value, label: measure} + - {column: L, row: 9019, expected_value: A, label: interval status} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9020 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9020, expected_value: E12000009, label: geography} + - {column: D, row: 9020, expected_value: Females, label: sex} + - {column: E, row: 9020, expected_value: Self-employed, label: employment type} + - {column: J, row: 9020, expected_value: Value, label: measure} + - {column: L, row: 9021, expected_value: A, label: interval status} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 9022 + expected_row_header_column: H + expected_row_header: '31 : Science, Engineering And Technology Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 31} + guard_cells: + - {column: B, row: 9022, expected_value: E12000009, label: geography} + - {column: D, row: 9022, expected_value: Females, label: sex} + - {column: E, row: 9022, expected_value: Self-employed, label: employment type} + - {column: J, row: 9022, expected_value: Value, label: measure} + - {column: L, row: 9023, expected_value: G, label: interval status} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9024 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9024, expected_value: E12000009, label: geography} + - {column: D, row: 9024, expected_value: Females, label: sex} + - {column: E, row: 9024, expected_value: Self-employed, label: employment type} + - {column: J, row: 9024, expected_value: Value, label: measure} + - {column: L, row: 9025, expected_value: A, label: interval status} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9028 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9028, expected_value: E12000009, label: geography} + - {column: D, row: 9028, expected_value: Females, label: sex} + - {column: E, row: 9028, expected_value: Self-employed, label: employment type} + - {column: J, row: 9028, expected_value: Value, label: measure} + - {column: L, row: 9029, expected_value: A, label: interval status} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9030 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9030, expected_value: E12000009, label: geography} + - {column: D, row: 9030, expected_value: Females, label: sex} + - {column: E, row: 9030, expected_value: Self-employed, label: employment type} + - {column: J, row: 9030, expected_value: Value, label: measure} + - {column: L, row: 9031, expected_value: A, label: interval status} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9032 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9032, expected_value: E12000009, label: geography} + - {column: D, row: 9032, expected_value: Females, label: sex} + - {column: E, row: 9032, expected_value: Self-employed, label: employment type} + - {column: J, row: 9032, expected_value: Value, label: measure} + - {column: L, row: 9033, expected_value: A, label: interval status} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9034 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9034, expected_value: E12000009, label: geography} + - {column: D, row: 9034, expected_value: Females, label: sex} + - {column: E, row: 9034, expected_value: Self-employed, label: employment type} + - {column: J, row: 9034, expected_value: Value, label: measure} + - {column: L, row: 9035, expected_value: A, label: interval status} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 9036 + expected_row_header_column: H + expected_row_header: '42 : Secretarial And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 42} + guard_cells: + - {column: B, row: 9036, expected_value: E12000009, label: geography} + - {column: D, row: 9036, expected_value: Females, label: sex} + - {column: E, row: 9036, expected_value: Self-employed, label: employment type} + - {column: J, row: 9036, expected_value: Value, label: measure} + - {column: L, row: 9037, expected_value: G, label: interval status} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9038 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9038, expected_value: E12000009, label: geography} + - {column: D, row: 9038, expected_value: Females, label: sex} + - {column: E, row: 9038, expected_value: Self-employed, label: employment type} + - {column: J, row: 9038, expected_value: Value, label: measure} + - {column: L, row: 9039, expected_value: A, label: interval status} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9040 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9040, expected_value: E12000009, label: geography} + - {column: D, row: 9040, expected_value: Females, label: sex} + - {column: E, row: 9040, expected_value: Self-employed, label: employment type} + - {column: J, row: 9040, expected_value: Value, label: measure} + - {column: L, row: 9041, expected_value: A, label: interval status} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 9042 + expected_row_header_column: H + expected_row_header: '52 : Skilled Metal, Electrical And Electronic Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 52} + guard_cells: + - {column: B, row: 9042, expected_value: E12000009, label: geography} + - {column: D, row: 9042, expected_value: Females, label: sex} + - {column: E, row: 9042, expected_value: Self-employed, label: employment type} + - {column: J, row: 9042, expected_value: Value, label: measure} + - {column: L, row: 9043, expected_value: F, label: interval status} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 9044 + expected_row_header_column: H + expected_row_header: '53 : Skilled Construction And Building Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 53} + guard_cells: + - {column: B, row: 9044, expected_value: E12000009, label: geography} + - {column: D, row: 9044, expected_value: Females, label: sex} + - {column: E, row: 9044, expected_value: Self-employed, label: employment type} + - {column: J, row: 9044, expected_value: Value, label: measure} + - {column: L, row: 9045, expected_value: F, label: interval status} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9046 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9046, expected_value: E12000009, label: geography} + - {column: D, row: 9046, expected_value: Females, label: sex} + - {column: E, row: 9046, expected_value: Self-employed, label: employment type} + - {column: J, row: 9046, expected_value: Value, label: measure} + - {column: L, row: 9047, expected_value: A, label: interval status} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9048 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9048, expected_value: E12000009, label: geography} + - {column: D, row: 9048, expected_value: Females, label: sex} + - {column: E, row: 9048, expected_value: Self-employed, label: employment type} + - {column: J, row: 9048, expected_value: Value, label: measure} + - {column: L, row: 9049, expected_value: A, label: interval status} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9050 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9050, expected_value: E12000009, label: geography} + - {column: D, row: 9050, expected_value: Females, label: sex} + - {column: E, row: 9050, expected_value: Self-employed, label: employment type} + - {column: J, row: 9050, expected_value: Value, label: measure} + - {column: L, row: 9051, expected_value: A, label: interval status} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9052 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9052, expected_value: E12000009, label: geography} + - {column: D, row: 9052, expected_value: Females, label: sex} + - {column: E, row: 9052, expected_value: Self-employed, label: employment type} + - {column: J, row: 9052, expected_value: Value, label: measure} + - {column: L, row: 9053, expected_value: A, label: interval status} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9056 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9056, expected_value: E12000009, label: geography} + - {column: D, row: 9056, expected_value: Females, label: sex} + - {column: E, row: 9056, expected_value: Self-employed, label: employment type} + - {column: J, row: 9056, expected_value: Value, label: measure} + - {column: L, row: 9057, expected_value: A, label: interval status} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9058 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9058, expected_value: E12000009, label: geography} + - {column: D, row: 9058, expected_value: Females, label: sex} + - {column: E, row: 9058, expected_value: Self-employed, label: employment type} + - {column: J, row: 9058, expected_value: Value, label: measure} + - {column: L, row: 9059, expected_value: A, label: interval status} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 9062 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 9062, expected_value: E12000009, label: geography} + - {column: D, row: 9062, expected_value: Females, label: sex} + - {column: E, row: 9062, expected_value: Self-employed, label: employment type} + - {column: J, row: 9062, expected_value: Value, label: measure} + - {column: L, row: 9063, expected_value: A, label: interval status} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 9064 + expected_row_header_column: H + expected_row_header: '81 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 81} + guard_cells: + - {column: B, row: 9064, expected_value: E12000009, label: geography} + - {column: D, row: 9064, expected_value: Females, label: sex} + - {column: E, row: 9064, expected_value: Self-employed, label: employment type} + - {column: J, row: 9064, expected_value: Value, label: measure} + - {column: L, row: 9065, expected_value: G, label: interval status} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 9066 + expected_row_header_column: H + expected_row_header: '82 : Transport And Mobile Machine Drivers And Operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 82} + guard_cells: + - {column: B, row: 9066, expected_value: E12000009, label: geography} + - {column: D, row: 9066, expected_value: Females, label: sex} + - {column: E, row: 9066, expected_value: Self-employed, label: employment type} + - {column: J, row: 9066, expected_value: Value, label: measure} + - {column: L, row: 9067, expected_value: G, label: interval status} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9068 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9068, expected_value: E12000009, label: geography} + - {column: D, row: 9068, expected_value: Females, label: sex} + - {column: E, row: 9068, expected_value: Self-employed, label: employment type} + - {column: J, row: 9068, expected_value: Value, label: measure} + - {column: L, row: 9069, expected_value: A, label: interval status} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 9070 + expected_row_header_column: H + expected_row_header: '91 : Elementary Trades And Related Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 91} + guard_cells: + - {column: B, row: 9070, expected_value: E12000009, label: geography} + - {column: D, row: 9070, expected_value: Females, label: sex} + - {column: E, row: 9070, expected_value: Self-employed, label: employment type} + - {column: J, row: 9070, expected_value: Value, label: measure} + - {column: L, row: 9071, expected_value: G, label: interval status} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9072 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9072, expected_value: E12000009, label: geography} + - {column: D, row: 9072, expected_value: Females, label: sex} + - {column: E, row: 9072, expected_value: Self-employed, label: employment type} + - {column: J, row: 9072, expected_value: Value, label: measure} + - {column: L, row: 9073, expected_value: A, label: interval status} + measures: + - measure_id: people_in_employment + label: People in employment + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: estimate} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment + source_concept: ons.aps_people_in_employment + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Value'' of measure ''Count'': the estimated number + of people in employment in the cell, rounded to the nearest hundred.' + unit: count + aggregation: sum + expected_cell_type: number +- record_set_id: ons.aps218.jan_dec_2025.e12000009.female.self_employed.confidence_interval_half_width + provenance_class: survey_aggregate + survey_instrument: Annual Population Survey + assertion: observation + record_set_spec_id: ons.aps218.jan_dec_2025.e12000009.female.self_employed.confidence_interval_half_width.v1 + source_record_id_prefix: ons.aps218.jan_dec_2025.e12000009.female.self_employed.confidence_interval_half_width + sheet_name: aps218_occupation_jan_dec_2025.csv + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-01-01' + end_date: '2025-12-31' + basis: survey_reference + source_period_label: Jan 2025-Dec 2025 + notes: 'Nomis APS218 (NM_218_1), Jan 2025-Dec 2025, revision 0 released 21 April 2026: people in employment + resident in the area, by occupation (SOC 2020), full-time and part-time and all job types together, + rounded to the nearest hundred. A cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) + is blank and emits no fact. An estimate whose interval Nomis marks G (''unreliable since the group + sample size is small (3-9)'') or F is published without the interval; the interval''s status is + guarded in the estimate''s lineage. Nomis''s one revision of the dataset, on 27 January 2023, re-released + October 2021 to September 2022 (''Estimates revised due to identified error''), not this period.' + geography_id: E12000009 + geography_level: region + geography_name: South West + geography_vintage: current + entity: person + entity_role: in_employment + domain: employment + groupby_dimension: soc2020_group + shared_filters: + sex: female + employment_status: self_employed + statistic: confidence_interval_half_width + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: employment_status, operator: ==, value: self_employed, label: Employment status} + - {variable: statistic, operator: ==, value: confidence_interval_half_width, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 9003 + expected_row_header_column: H + expected_row_header: Total + table_record_kind: total + guard_cells: + - {column: B, row: 9003, expected_value: E12000009, label: geography} + - {column: D, row: 9003, expected_value: Females, label: sex} + - {column: E, row: 9003, expected_value: Self-employed, label: employment type} + - {column: J, row: 9003, expected_value: Confidence, label: measure} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 9005 + expected_row_header_column: H + expected_row_header: '1 : Managers, Directors And Senior Official' + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 1} + guard_cells: + - {column: B, row: 9005, expected_value: E12000009, label: geography} + - {column: D, row: 9005, expected_value: Females, label: sex} + - {column: E, row: 9005, expected_value: Self-employed, label: employment type} + - {column: J, row: 9005, expected_value: Confidence, label: measure} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 9007 + expected_row_header_column: H + expected_row_header: '11 : Corporate Managers And Directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 11} + guard_cells: + - {column: B, row: 9007, expected_value: E12000009, label: geography} + - {column: D, row: 9007, expected_value: Females, label: sex} + - {column: E, row: 9007, expected_value: Self-employed, label: employment type} + - {column: J, row: 9007, expected_value: Confidence, label: measure} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9009 + expected_row_header_column: H + expected_row_header: '12 : Other Managers And Proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 12} + guard_cells: + - {column: B, row: 9009, expected_value: E12000009, label: geography} + - {column: D, row: 9009, expected_value: Females, label: sex} + - {column: E, row: 9009, expected_value: Self-employed, label: employment type} + - {column: J, row: 9009, expected_value: Confidence, label: measure} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 9011 + expected_row_header_column: H + expected_row_header: '2 : Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 2} + guard_cells: + - {column: B, row: 9011, expected_value: E12000009, label: geography} + - {column: D, row: 9011, expected_value: Females, label: sex} + - {column: E, row: 9011, expected_value: Self-employed, label: employment type} + - {column: J, row: 9011, expected_value: Confidence, label: measure} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 9013 + expected_row_header_column: H + expected_row_header: '21 : Science, Research, Engineering And Technology Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 21} + guard_cells: + - {column: B, row: 9013, expected_value: E12000009, label: geography} + - {column: D, row: 9013, expected_value: Females, label: sex} + - {column: E, row: 9013, expected_value: Self-employed, label: employment type} + - {column: J, row: 9013, expected_value: Confidence, label: measure} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 9015 + expected_row_header_column: H + expected_row_header: '22 : Health Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 22} + guard_cells: + - {column: B, row: 9015, expected_value: E12000009, label: geography} + - {column: D, row: 9015, expected_value: Females, label: sex} + - {column: E, row: 9015, expected_value: Self-employed, label: employment type} + - {column: J, row: 9015, expected_value: Confidence, label: measure} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 9017 + expected_row_header_column: H + expected_row_header: '23 : Teaching And Other Educational Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 23} + guard_cells: + - {column: B, row: 9017, expected_value: E12000009, label: geography} + - {column: D, row: 9017, expected_value: Females, label: sex} + - {column: E, row: 9017, expected_value: Self-employed, label: employment type} + - {column: J, row: 9017, expected_value: Confidence, label: measure} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 9019 + expected_row_header_column: H + expected_row_header: '24 : Business, Media And Public Service Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 24} + guard_cells: + - {column: B, row: 9019, expected_value: E12000009, label: geography} + - {column: D, row: 9019, expected_value: Females, label: sex} + - {column: E, row: 9019, expected_value: Self-employed, label: employment type} + - {column: J, row: 9019, expected_value: Confidence, label: measure} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 9021 + expected_row_header_column: H + expected_row_header: '3 : Associate Professional Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 3} + guard_cells: + - {column: B, row: 9021, expected_value: E12000009, label: geography} + - {column: D, row: 9021, expected_value: Females, label: sex} + - {column: E, row: 9021, expected_value: Self-employed, label: employment type} + - {column: J, row: 9021, expected_value: Confidence, label: measure} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 9025 + expected_row_header_column: H + expected_row_header: '32 : Health And Social Care Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 32} + guard_cells: + - {column: B, row: 9025, expected_value: E12000009, label: geography} + - {column: D, row: 9025, expected_value: Females, label: sex} + - {column: E, row: 9025, expected_value: Self-employed, label: employment type} + - {column: J, row: 9025, expected_value: Confidence, label: measure} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 9029 + expected_row_header_column: H + expected_row_header: '34 : Culture, Media And Sports Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 34} + guard_cells: + - {column: B, row: 9029, expected_value: E12000009, label: geography} + - {column: D, row: 9029, expected_value: Females, label: sex} + - {column: E, row: 9029, expected_value: Self-employed, label: employment type} + - {column: J, row: 9029, expected_value: Confidence, label: measure} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 9031 + expected_row_header_column: H + expected_row_header: '35 : Business And Public Service Associate Professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 35} + guard_cells: + - {column: B, row: 9031, expected_value: E12000009, label: geography} + - {column: D, row: 9031, expected_value: Females, label: sex} + - {column: E, row: 9031, expected_value: Self-employed, label: employment type} + - {column: J, row: 9031, expected_value: Confidence, label: measure} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 9033 + expected_row_header_column: H + expected_row_header: '4 : Administrative And Secretarial Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 4} + guard_cells: + - {column: B, row: 9033, expected_value: E12000009, label: geography} + - {column: D, row: 9033, expected_value: Females, label: sex} + - {column: E, row: 9033, expected_value: Self-employed, label: employment type} + - {column: J, row: 9033, expected_value: Confidence, label: measure} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 9035 + expected_row_header_column: H + expected_row_header: '41 : Administrative Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 41} + guard_cells: + - {column: B, row: 9035, expected_value: E12000009, label: geography} + - {column: D, row: 9035, expected_value: Females, label: sex} + - {column: E, row: 9035, expected_value: Self-employed, label: employment type} + - {column: J, row: 9035, expected_value: Confidence, label: measure} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 9039 + expected_row_header_column: H + expected_row_header: '5 : Skilled Trades Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 5} + guard_cells: + - {column: B, row: 9039, expected_value: E12000009, label: geography} + - {column: D, row: 9039, expected_value: Females, label: sex} + - {column: E, row: 9039, expected_value: Self-employed, label: employment type} + - {column: J, row: 9039, expected_value: Confidence, label: measure} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 9041 + expected_row_header_column: H + expected_row_header: '51 : Skilled Agricultural And Related Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 51} + guard_cells: + - {column: B, row: 9041, expected_value: E12000009, label: geography} + - {column: D, row: 9041, expected_value: Females, label: sex} + - {column: E, row: 9041, expected_value: Self-employed, label: employment type} + - {column: J, row: 9041, expected_value: Confidence, label: measure} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 9047 + expected_row_header_column: H + expected_row_header: '54 : Textiles, Printing And Other Skilled Trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 54} + guard_cells: + - {column: B, row: 9047, expected_value: E12000009, label: geography} + - {column: D, row: 9047, expected_value: Females, label: sex} + - {column: E, row: 9047, expected_value: Self-employed, label: employment type} + - {column: J, row: 9047, expected_value: Confidence, label: measure} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 9049 + expected_row_header_column: H + expected_row_header: '6 : Caring, Leisure And Other Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 6} + guard_cells: + - {column: B, row: 9049, expected_value: E12000009, label: geography} + - {column: D, row: 9049, expected_value: Females, label: sex} + - {column: E, row: 9049, expected_value: Self-employed, label: employment type} + - {column: J, row: 9049, expected_value: Confidence, label: measure} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 9051 + expected_row_header_column: H + expected_row_header: '61 : Caring Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 61} + guard_cells: + - {column: B, row: 9051, expected_value: E12000009, label: geography} + - {column: D, row: 9051, expected_value: Females, label: sex} + - {column: E, row: 9051, expected_value: Self-employed, label: employment type} + - {column: J, row: 9051, expected_value: Confidence, label: measure} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 9053 + expected_row_header_column: H + expected_row_header: '62 : Leisure, Travel And Related Personal Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 62} + guard_cells: + - {column: B, row: 9053, expected_value: E12000009, label: geography} + - {column: D, row: 9053, expected_value: Females, label: sex} + - {column: E, row: 9053, expected_value: Self-employed, label: employment type} + - {column: J, row: 9053, expected_value: Confidence, label: measure} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 9057 + expected_row_header_column: H + expected_row_header: '7 : Sales And Customer Service Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 7} + guard_cells: + - {column: B, row: 9057, expected_value: E12000009, label: geography} + - {column: D, row: 9057, expected_value: Females, label: sex} + - {column: E, row: 9057, expected_value: Self-employed, label: employment type} + - {column: J, row: 9057, expected_value: Confidence, label: measure} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 9059 + expected_row_header_column: H + expected_row_header: '71 : Sales Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 71} + guard_cells: + - {column: B, row: 9059, expected_value: E12000009, label: geography} + - {column: D, row: 9059, expected_value: Females, label: sex} + - {column: E, row: 9059, expected_value: Self-employed, label: employment type} + - {column: J, row: 9059, expected_value: Confidence, label: measure} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 9063 + expected_row_header_column: H + expected_row_header: '8 : Process, Plant And Machine Operatives' + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 8} + guard_cells: + - {column: B, row: 9063, expected_value: E12000009, label: geography} + - {column: D, row: 9063, expected_value: Females, label: sex} + - {column: E, row: 9063, expected_value: Self-employed, label: employment type} + - {column: J, row: 9063, expected_value: Confidence, label: measure} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 9069 + expected_row_header_column: H + expected_row_header: '9 : Elementary Occupations' + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + source_row_dimensions: {soc2020_major_group: 9} + guard_cells: + - {column: B, row: 9069, expected_value: E12000009, label: geography} + - {column: D, row: 9069, expected_value: Females, label: sex} + - {column: E, row: 9069, expected_value: Self-employed, label: employment type} + - {column: J, row: 9069, expected_value: Confidence, label: measure} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 9073 + expected_row_header_column: H + expected_row_header: '92 : Elementary Administration And Service Occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + source_row_dimensions: {soc2020_sub_major_group: 92} + guard_cells: + - {column: B, row: 9073, expected_value: E12000009, label: geography} + - {column: D, row: 9073, expected_value: Females, label: sex} + - {column: E, row: 9073, expected_value: Self-employed, label: employment type} + - {column: J, row: 9073, expected_value: Confidence, label: measure} + measures: + - measure_id: people_in_employment_confidence_interval_half_width + label: People in employment, confidence interval half-width + ordinal: 0 + column: K + source_column_id: OBS_VALUE + source_column_dimensions: {sex: female, employment_status: self_employed, statistic: confidence_interval_half_width} + expected_column_header_row: 1 + expected_column_header: OBS_VALUE + concept: ons.aps_people_in_employment_confidence_interval_half_width + source_concept: ons.aps_people_in_employment_confidence_interval_half_width + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.nomisweb.co.uk/datasets/aps218 + concept_evidence_notes: 'Nomis APS218 measure ''Confidence'' of measure ''Count'', published beside + each estimate: the half-width (plus or minus) of the estimate''s confidence interval, in people. + Nomis''s dataset pages do not state the interval''s level; Scottish Government APS publications + call the confidence limits Nomis publishes 95 per cent limits.' + unit: count + aggregation: sum + expected_cell_type: number diff --git a/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_full_pay/source_package.yaml b/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_full_pay/source_package.yaml index 3e4eef12..ac23e977 100644 --- a/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_full_pay/source_package.yaml +++ b/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_full_pay/source_package.yaml @@ -24,7 +24,7 @@ dimension_value_labels: soc2020_major_group: '1': Managers, directors and senior officials '2': Professional occupations - '3': Associate professional and technical occupations + '3': Associate professional occupations '4': Administrative and secretarial occupations '5': Skilled trades occupations '6': Caring, leisure and other service occupations diff --git a/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml b/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml index dd72e13a..8bc90999 100644 --- a/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml +++ b/packages/ons/ashe_employee_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml @@ -23,7 +23,7 @@ dimension_value_labels: soc2020_major_group: '1': Managers, directors and senior officials '2': Professional occupations - '3': Associate professional and technical occupations + '3': Associate professional occupations '4': Administrative and secretarial occupations '5': Skilled trades occupations '6': Caring, leisure and other service occupations diff --git a/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_full_pay/source_package.yaml b/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_full_pay/source_package.yaml index 15cc5a0c..d07723b2 100644 --- a/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_full_pay/source_package.yaml +++ b/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_full_pay/source_package.yaml @@ -25,7 +25,7 @@ dimension_value_labels: soc2020_major_group: '1': Managers, directors and senior officials '2': Professional occupations - '3': Associate professional and technical occupations + '3': Associate professional occupations '4': Administrative and secretarial occupations '5': Skilled trades occupations '6': Caring, leisure and other service occupations diff --git a/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml b/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml index 0e73c62e..5244535c 100644 --- a/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml +++ b/packages/ons/ashe_employer_contribution_bands_by_occupation_2024_qualifying_earnings/source_package.yaml @@ -24,7 +24,7 @@ dimension_value_labels: soc2020_major_group: '1': Managers, directors and senior officials '2': Professional occupations - '3': Associate professional and technical occupations + '3': Associate professional occupations '4': Administrative and secretarial occupations '5': Skilled trades occupations '6': Caring, leisure and other service occupations diff --git a/packages/ons/ashe_pension_membership_by_occupation_earnings_2024/source_package.yaml b/packages/ons/ashe_pension_membership_by_occupation_earnings_2024/source_package.yaml index df50e0dc..fffeb088 100644 --- a/packages/ons/ashe_pension_membership_by_occupation_earnings_2024/source_package.yaml +++ b/packages/ons/ashe_pension_membership_by_occupation_earnings_2024/source_package.yaml @@ -23,7 +23,7 @@ dimension_value_labels: soc2020_major_group: '1': Managers, directors and senior officials '2': Professional occupations - '3': Associate professional and technical occupations + '3': Associate professional occupations '4': Administrative and secretarial occupations '5': Skilled trades occupations '6': Caring, leisure and other service occupations diff --git a/packages/ons/ashe_table2_annual_pay_gross_2024_revised/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_2024_revised/source_package.yaml new file mode 100644 index 00000000..acb559f9 --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_2024_revised/source_package.yaml @@ -0,0 +1,15874 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7a 'Annual pay - Gross (£)', United Kingdom, 2024 revised (released 23 +# October 2025), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'Occupation SOC20 (2) Table 2.7a +# Annual pay - Gross 2024.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of annual pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.7b +# (ons-ashe-table2-annual-pay-gross-cv-2024-revised) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 275 marked cells are not ported; 3937 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2024; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 17 April 2024. ONS's corrections notice of 3 November 2025: 'For the 2024 +# revised table, we published the 2024 provisional data instead of the revised data on +# release day, 23 October 2025. ... We have now corrected this and the 2024 revised table +# now contains the 2024 revised data.' The pinned zip, fetched on 4 November 2026, is the +# corrected table. +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2025 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2025) +# prints, £37,439 in April 2024, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-2024-revised +label: 'ONS ASHE Table 2.7a: annual pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2024 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7a Annual pay - Gross (£), United + Kingdom, 2024 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2024_revised + manifest: manifest.yaml + vintage: ashe_table2_2024_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.7a Annual pay + - Gross 2024.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.7a Annual pay - Gross 2024.xlsx + artifact_year: 2024 +record_sets: +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.all + sheet_name: All + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column D: median gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column H: the 10th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column Q: the 90th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p90 + sheet_name: All + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column D: median gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column H: the 10th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.all.without_p10_p90 + sheet_name: All + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column D: median gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column H: the 10th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column Q: the 90th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p90 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column H: the 10th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column Q: the 90th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male.without_p10_p80_p90 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column Q: the 90th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_mean_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_mean_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_mean_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p20_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female.without_p10_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column Q: the 90th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.full_time.without_p80_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column Q: the 90th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p20_p25_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column Q: the 90th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_full_time.without_p10_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column Q: the 90th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p30_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column Q: the + 90th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_mean_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_mean_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_mean_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p20_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p20_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p20_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_full_time.without_p10_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column Q: the + 90th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross.female_part_time.without_p10_p20_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_annual_pay_gross_2025_revised/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_2025_revised/source_package.yaml new file mode 100644 index 00000000..2bd380a0 --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_2025_revised/source_package.yaml @@ -0,0 +1,15583 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7a 'Annual pay - Gross (£)', United Kingdom, 2025 revised (released 22 +# October 2026), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'Occupation SOC20 (2) Table 2.7a +# Annual pay - Gross 2025.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of annual pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.7b +# (ons-ashe-table2-annual-pay-gross-cv-2025-revised) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 278 marked cells are not ported; 3934 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2025; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 30 April 2025. ONS's corrections notice of 19 December 2025 suppressed the +# 2025 provisional annual pay estimates for occupations 3312, 331 and 33 for London, the +# South East, East and the UK 'for quality reasons', to 'be reviewed for our revised 2025 +# dataset'. This revised edition prints the UK row of sub-major group 33 in every sheet of +# Table 2.7a, with 'x' only where its CV is over 20 per cent. +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2026 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2026) +# prints, £39,157 in April 2025, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-2025-revised +label: 'ONS ASHE Table 2.7a: annual pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2025 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7a Annual pay - Gross (£), United + Kingdom, 2025 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2025_revised + manifest: manifest.yaml + vintage: ashe_table2_2025_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.7a Annual pay + - Gross 2025.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.7a Annual pay - Gross 2025.xlsx + artifact_year: 2025 +record_sets: +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.all + sheet_name: All + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column D: median gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column H: the 10th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column Q: the 90th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.all.without_p10_p90 + sheet_name: All + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column D: median gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column H: the 10th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column Q: the 90th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male.without_p10 + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column D: median gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column F: mean gross annual + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male'', column Q: the 90th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column H: the 10th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column Q: the 90th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column H: the 10th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p25_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p25_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p25_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female.without_p10_p20_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column F: mean gross annual + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column Q: the 90th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.full_time.without_p80_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column D: median gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column Q: the 90th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p20_p25_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_p10_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column D: median gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column Q: the 90th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_full_time.without_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column Q: the 90th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p25_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p30_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column Q: the 90th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p20_p25_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column Q: the + 90th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column D: median + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column Q: the + 90th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p20_p25_p30_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p20_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross.female_part_time.without_p10_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column D: median + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_annual_pay_gross_2026_provisional/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_2026_provisional/source_package.yaml new file mode 100644 index 00000000..a145cd4e --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_2026_provisional/source_package.yaml @@ -0,0 +1,16181 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7a 'Annual pay - Gross (£)', United Kingdom, 2026 provisional (released 22 +# October 2026), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'PROV - Occupation SOC20 (2) +# Table 2.7a Annual pay - Gross 2026.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of annual pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.7b +# (ons-ashe-table2-annual-pay-gross-cv-2026-provisional) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 264 marked cells are not ported; 3948 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2026; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 22 April 2026. +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2026 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2026) +# prints, £40,911 in April 2026, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-2026-provisional +label: 'ONS ASHE Table 2.7a: annual pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2026 provisional' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7a Annual pay - Gross (£), United + Kingdom, 2026 provisional + resource_package: db + resource_directory: data/ons/ashe_table2_2026_provisional + manifest: manifest.yaml + vintage: ashe_table2_2026_provisional + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (PROV - Occupation SOC20 (2) Table 2.7a Annual + pay - Gross 2026.xlsx) + parser: zip_xlsx_used_range + archive_member: PROV - Occupation SOC20 (2) Table 2.7a Annual pay - Gross 2026.xlsx + artifact_year: 2026 +record_sets: +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.all + sheet_name: All + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column D: median gross + annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column H: the 10th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column Q: the 90th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.all.without_p90 + sheet_name: All + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For all employee jobsa: + United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column C: the number of + jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column D: median gross + annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column F: mean gross annual + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column H: the 10th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column I: the 20th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column J: the 25th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column K: the 30th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column L: the 40th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column M: the 60th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column N: the 70th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column O: the 75th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''All'', column P: the 80th percentile + of gross annual pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male + sheet_name: Male + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column D: median gross + annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column F: mean gross + annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column H: the 10th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column Q: the 90th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male employee jobsa: + United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column D: median gross + annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column F: mean gross + annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column I: the 20th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column J: the 25th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column K: the 30th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column L: the 40th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column M: the 60th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column N: the 70th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column O: the 75th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male'', column P: the 80th percentile + of gross annual pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column F: mean gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column H: the 10th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column Q: the 90th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p20_p25_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column F: mean gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column H: the 10th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column F: mean gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column F: mean gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column H: the 10th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female.without_p10_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column D: median gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column F: mean gross + annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross annual pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column D: median + gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column H: the 10th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column I: the 20th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column J: the 25th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column K: the 30th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column L: the 40th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column M: the 60th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column N: the 70th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column O: the 75th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column P: the 80th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column Q: the 90th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column D: median + gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column F: mean gross + annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column H: the 10th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column I: the 20th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column J: the 25th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column K: the 30th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column L: the 40th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column M: the 60th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column N: the 70th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column O: the 75th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Full-Time'', column P: the 80th + percentile of gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column Q: the 90th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p30 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p30.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p30 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column Q: the 90th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p10_p20_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column D: median + gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column F: mean gross + annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column H: the + 10th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column I: the + 20th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column J: the + 25th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column K: the + 30th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column L: the + 40th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column M: the + 60th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column N: the + 70th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column O: the + 75th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column P: the + 80th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column Q: the + 90th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column H: the + 10th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column I: the + 20th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column J: the + 25th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column K: the + 30th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column L: the + 40th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column M: the + 60th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column N: the + 70th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column O: the + 75th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column P: the + 80th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_full_time.without_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column D: median + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column F: mean + gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column H: the + 10th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column I: the + 20th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column J: the + 25th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column K: the + 30th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column L: the + 40th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column M: the + 60th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column N: the + 70th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Full-Time'', column O: the + 75th percentile of gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column Q: the + 90th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p40_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p40_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p40_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column H: + the 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column O: + the 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column P: + the 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column Q: + the 90th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column H: + the 10th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column O: + the 75th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column P: + the 80th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_full_time.without_p10_p20_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross annual pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column Q: + the 90th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross annual pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column Q: + the 90th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross annual pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross annual pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross annual pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross annual pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross.female_part_time.without_p10_p20_p25_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7a Annual pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs + source_concept: ons.ashe_annual_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross annual pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross annual pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross annual pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross annual pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross annual pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross annual pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross annual pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross annual pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay + source_concept: ons.ashe_gross_annual_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross annual pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_annual_pay_gross_cv_2024_revised/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_cv_2024_revised/source_package.yaml new file mode 100644 index 00000000..8ef3b0ce --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_cv_2024_revised/source_package.yaml @@ -0,0 +1,13684 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7b 'coefficients of variation for Annual pay - Gross (£)', United Kingdom, +# 2024 revised (released 23 October 2025), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2024 CV.xlsx' of the +# pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.7a (ons-ashe-table2-annual-pay-gross-2024-revised): 'The CV is the ratio of +# the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 192 marked cells are not ported; 4020 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2024; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 17 April 2024. ONS's corrections notice of 3 November 2025: 'For the 2024 +# revised table, we published the 2024 provisional data instead of the revised data on +# release day, 23 October 2025. ... We have now corrected this and the 2024 revised table +# now contains the 2024 revised data.' The pinned zip, fetched on 4 November 2026, is the +# corrected table. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-cv-2024-revised +label: 'ONS ASHE Table 2.7b: coefficients of variation for annual pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2024 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7b Coefficients of variation for Annual + pay - Gross (£), United Kingdom, 2024 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2024_revised + manifest: manifest.yaml + vintage: ashe_table2_2024_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.7b Annual pay + - Gross 2024 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2024 CV.xlsx + artifact_year: 2024 +record_sets: +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all + sheet_name: All + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.all.without_p90 + sheet_name: All + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p90 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male.without_p10_p80_p90 + sheet_name: Male + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p30_p70_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female.without_p10_p20_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.full_time.without_p80_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_full_time.without_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p20_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p20_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_p20_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p20_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p20_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p20_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_median_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_median_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_full_time.without_median_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2023 + period_coverage: + start_date: '2023-04-06' + end_date: '2024-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2024 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2024; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 17 April 2024.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_annual_pay_gross_cv_2025_revised/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_cv_2025_revised/source_package.yaml new file mode 100644 index 00000000..16ad0cc7 --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_cv_2025_revised/source_package.yaml @@ -0,0 +1,15911 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7b 'coefficients of variation for Annual pay - Gross (£)', United Kingdom, +# 2025 revised (released 22 October 2026), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2025 CV.xlsx' of the +# pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.7a (ons-ashe-table2-annual-pay-gross-2025-revised): 'The CV is the ratio of +# the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 278 marked cells are not ported; 3934 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2025; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 30 April 2025. ONS's corrections notice of 19 December 2025 suppressed the +# 2025 provisional annual pay estimates for occupations 3312, 331 and 33 for London, the +# South East, East and the UK 'for quality reasons', to 'be reviewed for our revised 2025 +# dataset'. This revised edition prints the UK row of sub-major group 33 in every sheet of +# Table 2.7a, with 'x' only where its CV is over 20 per cent. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-cv-2025-revised +label: 'ONS ASHE Table 2.7b: coefficients of variation for annual pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2025 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7b Coefficients of variation for Annual + pay - Gross (£), United Kingdom, 2025 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2025_revised + manifest: manifest.yaml + vintage: ashe_table2_2025_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.7b Annual pay + - Gross 2025 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2025 CV.xlsx + artifact_year: 2025 +record_sets: +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all + sheet_name: All + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.all.without_p10_p90 + sheet_name: All + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10_p90 + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male.without_p10 + sheet_name: Male + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p25_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female.without_p10_p20_p90 + sheet_name: Female + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.full_time.without_p80_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p20_p25_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_p10_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_full_time.without_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p25_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p30_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p20_p25_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_full_time.without_jobs_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p20_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.annual_pay_gross_cv.female_part_time.without_p10_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2024 + period_coverage: + start_date: '2024-04-06' + end_date: '2025-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2025 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2025; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 30 April 2025.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_annual_pay_gross_cv_2026_provisional/source_package.yaml b/packages/ons/ashe_table2_annual_pay_gross_cv_2026_provisional/source_package.yaml new file mode 100644 index 00000000..92b5b279 --- /dev/null +++ b/packages/ons/ashe_table2_annual_pay_gross_cv_2026_provisional/source_package.yaml @@ -0,0 +1,16599 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.7b 'coefficients of variation for Annual pay - Gross (£)', United Kingdom, +# 2026 provisional (released 22 October 2026), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'PROV - Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2026 CV.xlsx' of +# the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.7a (ons-ashe-table2-annual-pay-gross-2026-provisional): 'The CV is the ratio +# of the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 264 marked cells are not ported; 3948 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# 'Annual estimates are provided for the tax year that ended on 5th April in the reference +# year' (Notes sheet), here 2026; employees on adult rates who have been in the same job +# for more than a year (table footnote a). ASHE samples their jobs in the pay period +# including 22 April 2026. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-annual-pay-gross-cv-2026-provisional +label: 'ONS ASHE Table 2.7b: coefficients of variation for annual pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2026 provisional' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.7b Coefficients of variation for Annual + pay - Gross (£), United Kingdom, 2026 provisional + resource_package: db + resource_directory: data/ons/ashe_table2_2026_provisional + manifest: manifest.yaml + vintage: ashe_table2_2026_provisional + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (PROV - Occupation SOC20 (2) Table 2.7b Annual + pay - Gross 2026 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: PROV - Occupation SOC20 (2) Table 2.7b Annual pay - Gross 2026 CV.xlsx + artifact_year: 2026 +record_sets: +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all + sheet_name: All + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.all.without_p90 + sheet_name: All + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For all employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male + sheet_name: Male + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male.without_p10_p90 + sheet_name: Male + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p20_p25_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female.without_p10_p75_p80_p90 + sheet_name: Female + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p30 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p30.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p30 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p10_p20_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross annual pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross annual pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_full_time.without_p80_p90 + sheet_name: Male Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p40_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p40_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p40_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross annual pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_full_time.without_p10_p20_p75_p80_p90 + sheet_name: Female Full-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross annual pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p25_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross annual pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross annual pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_median_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross annual pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross annual pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.annual_pay_gross_cv.female_part_time.without_p10_p20_p25_p80_p90 + sheet_name: Female Part-Time + period_type: tax_year + period: 2025 + period_coverage: + start_date: '2025-04-06' + end_date: '2026-04-05' + basis: tax + source_period_label: Tax year ending 5 April 2026 + notes: '''Annual estimates are provided for the tax year that ended on 5th April in the reference + year'' (Notes sheet), here 2026; employees on adult rates who have been in the same job for more + than a year (table footnote a). ASHE samples their jobs in the pay period including 22 April 2026.' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .7b Coefficients of variation for Annual pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_annual_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross annual pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross annual pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross annual pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross annual pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross annual pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross annual pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross annual pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross annual pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross annual pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_annual_pay_coefficient_of_variation + source_concept: ons.ashe_gross_annual_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.7b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross annual pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_weekly_pay_gross_2024_revised/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_2024_revised/source_package.yaml new file mode 100644 index 00000000..9b69c754 --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_2024_revised/source_package.yaml @@ -0,0 +1,13415 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1a 'Weekly pay - Gross (£)', United Kingdom, 2024 revised (released 23 +# October 2025), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'Occupation SOC20 (2) Table 2.1a +# Weekly pay - Gross 2024.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of weekly pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.1b +# (ons-ashe-table2-weekly-pay-gross-cv-2024-revised) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 166 marked cells are not ported; 4046 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2024 revised estimates 'relate to the pay period that includes 17 April 2024' +# (Employee earnings in the UK: 2025); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). ONS's corrections notice of 3 +# November 2025: 'For the 2024 revised table, we published the 2024 provisional data +# instead of the revised data on release day, 23 October 2025. ... We have now corrected +# this and the 2024 revised table now contains the 2024 revised data.' The pinned zip, +# fetched on 4 November 2026, is the corrected table. +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2025 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2025) +# prints, £728.27 in April 2024, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-2024-revised +label: 'ONS ASHE Table 2.1a: weekly pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2024 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1a Weekly pay - Gross (£), United + Kingdom, 2024 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2024_revised + manifest: manifest.yaml + vintage: ashe_table2_2024_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.1a Weekly pay + - Gross 2024.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.1a Weekly pay - Gross 2024.xlsx + artifact_year: 2024 +record_sets: +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.all + sheet_name: All + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column D: median gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column H: the 10th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column Q: the 90th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.all.without_p10_p90 + sheet_name: All + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column D: median gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male + sheet_name: Male + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column Q: the 90th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column Q: the 90th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_mean + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_mean.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_mean + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column Q: the 90th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column H: the 10th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p25_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female.without_p10_p20_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female employee jobsa: + United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column D: median gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column Q: the 90th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column D: median gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column Q: the 90th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_p10_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column Q: the 90th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column Q: the 90th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p25_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_median_p10_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column Q: the + 90th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_mean_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_mean_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_mean_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_full_time.without_p10_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column Q: the + 90th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_jobs_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2024 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_weekly_pay_gross_2025_revised/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_2025_revised/source_package.yaml new file mode 100644 index 00000000..65be8565 --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_2025_revised/source_package.yaml @@ -0,0 +1,12886 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1a 'Weekly pay - Gross (£)', United Kingdom, 2025 revised (released 22 +# October 2026), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'Occupation SOC20 (2) Table 2.1a +# Weekly pay - Gross 2025.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of weekly pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.1b +# (ons-ashe-table2-weekly-pay-gross-cv-2025-revised) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 159 marked cells are not ported; 4053 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2025 revised estimates 'relate to the pay period that includes 30 April 2025' +# (Employee earnings in the UK: 2026); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2026 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2026) +# prints, £766.60 in April 2025, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-2025-revised +label: 'ONS ASHE Table 2.1a: weekly pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2025 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1a Weekly pay - Gross (£), United + Kingdom, 2025 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2025_revised + manifest: manifest.yaml + vintage: ashe_table2_2025_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.1a Weekly pay + - Gross 2025.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.1a Weekly pay - Gross 2025.xlsx + artifact_year: 2025 +record_sets: +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.all + sheet_name: All + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column D: median gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column H: the 10th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column Q: the 90th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.all.without_p10_p90 + sheet_name: All + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column D: median gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column Q: the 90th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column C: the number of jobs + (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' (footnote + b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column D: median gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column F: mean gross weekly + pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column H: the 10th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column Q: the 90th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column H: the 10th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column P: the 80th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female.without_p10_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column F: mean gross weekly + pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column I: the 20th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column J: the 25th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column K: the 30th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column L: the 40th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column M: the 60th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column N: the 70th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female'', column O: the 75th percentile + of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column D: median gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column Q: the 90th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column D: median gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column H: the 10th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column I: the 20th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column J: the 25th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column K: the 30th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column L: the 40th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column M: the 60th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column N: the 70th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column O: the 75th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Full-Time'', column P: the 80th percentile + of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column Q: the 90th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p10_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column P: the 80th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column D: median gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column H: the 10th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column I: the 20th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column J: the 25th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column K: the 30th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column L: the 40th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column N: the 70th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column O: the 75th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Part-Time'', column M: the 60th percentile + of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column Q: the 90th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column H: the 10th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column I: the 20th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column J: the 25th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column K: the 30th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column L: the 40th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column M: the 60th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column N: the 70th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column O: the 75th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Full-Time'', column P: the 80th + percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column Q: the 90th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column P: the 80th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p10_p20_p25_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column O: the 75th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column H: the 10th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column I: the 20th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column J: the 25th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column K: the 30th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column L: the 40th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column M: the 60th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column N: the 70th + percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column Q: the + 90th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column H: the + 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column P: the + 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column O: the + 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column D: median + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column F: mean + gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column I: the + 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column J: the + 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column K: the + 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column L: the + 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column M: the + 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Full-Time'', column N: the + 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column Q: the + 90th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column H: the + 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column I: the + 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column J: the + 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column D: median + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column F: mean + gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column K: the + 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column L: the + 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column M: the + 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column N: the + 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column O: the + 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2025 revised), sheet ''Female Part-Time'', column P: the + 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_weekly_pay_gross_2026_provisional/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_2026_provisional/source_package.yaml new file mode 100644 index 00000000..8461aedf --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_2026_provisional/source_package.yaml @@ -0,0 +1,13149 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1a 'Weekly pay - Gross (£)', United Kingdom, 2026 provisional (released 22 +# October 2026), for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). Written by +# scripts/build_uk_occupation_packages.py from the member 'PROV - Occupation SOC20 (2) +# Table 2.1a Weekly pay - Gross 2026.xlsx' of the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The number of jobs (thousand; 'for indicative purposes only and +# should not be considered an accurate estimate of employee job counts', footnote b), the +# median, the mean and the 10th to 90th percentiles of weekly pay, with statistic +# estimate; the annual percentage changes are not ported. ONS colours each estimate by its +# coefficient of variation; Chronicle reads no colours, and Table 2.1b +# (ons-ashe-table2-weekly-pay-gross-cv-2026-provisional) carries the CVs. +# +# A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are suppressed from +# publication on quality grounds') emits no fact. A row with such a cell sits in a record +# set whose measures leave that column out ('without_p90' and the like), so the row's +# other cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits +# no fact. 156 marked cells are not ported; 4056 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2026 provisional estimates 'relate to the pay period that includes 22 April 2026' +# (Employee earnings in the UK: 2026); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). +# +# Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the figure +# Employee earnings in the UK: 2026 +# (https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/2026) +# prints, £811.20 in April 2026, to the bulletin's rounding; +# tests/test_source_uk_occupation_facts.py checks it. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-2026-provisional +label: 'ONS ASHE Table 2.1a: weekly pay - gross by two-digit SOC 2020 occupation, sex and working pattern, + United Kingdom, 2026 provisional' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + estimate: Estimate +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1a Weekly pay - Gross (£), United + Kingdom, 2026 provisional + resource_package: db + resource_directory: data/ons/ashe_table2_2026_provisional + manifest: manifest.yaml + vintage: ashe_table2_2026_provisional + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (PROV - Occupation SOC20 (2) Table 2.1a Weekly + pay - Gross 2026.xlsx) + parser: zip_xlsx_used_range + archive_member: PROV - Occupation SOC20 (2) Table 2.1a Weekly pay - Gross 2026.xlsx + artifact_year: 2026 +record_sets: +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.all.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.all + sheet_name: All + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column D: median gross + weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column H: the 10th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column Q: the 90th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.all.without_p90 + sheet_name: All + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For all employee jobsa: + United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column C: the number of + jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes only'' + (footnote b), all employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column D: median gross + weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column F: mean gross weekly + pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column H: the 10th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column I: the 20th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column J: the 25th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column K: the 30th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column L: the 40th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column M: the 60th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column N: the 70th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column O: the 75th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''All'', column P: the 80th percentile + of gross weekly pay (£), all employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column D: median gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column F: mean gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column Q: the 90th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column D: median gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column F: mean gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column H: the 10th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male.without_p10_p90 + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male employee jobsa: + United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column D: median gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column F: mean gross + weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column I: the 20th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column J: the 25th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column K: the 30th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column L: the 40th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column M: the 60th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column N: the 70th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column O: the 75th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male'', column P: the 80th percentile + of gross weekly pay (£), male employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column F: mean gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column H: the 10th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column Q: the 90th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column F: mean gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column F: mean gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column H: the 10th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column P: the 80th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female.without_p10_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), female employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column D: median gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column F: mean gross + weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column I: the 20th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column J: the 25th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column K: the 30th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column L: the 40th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column M: the 60th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column N: the 70th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female'', column O: the 75th + percentile of gross weekly pay (£), female employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column D: median + gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column H: the 10th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column I: the 20th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column J: the 25th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column K: the 30th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column L: the 40th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column M: the 60th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column N: the 70th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column O: the 75th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column P: the 80th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column Q: the 90th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For full-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column D: median + gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column F: mean gross + weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column H: the 10th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column I: the 20th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column J: the 25th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column K: the 30th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column L: the 40th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column M: the 60th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column N: the 70th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column O: the 75th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Full-Time'', column P: the 80th + percentile of gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column D: median + gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column Q: the 90th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p30 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p30.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p30 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column D: median + gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column Q: the 90th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column D: median + gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column H: the 10th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column I: the 20th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column J: the 25th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_p10_p20_p25_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column C: the number + of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column D: median + gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column K: the 30th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column L: the 40th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column M: the 60th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column N: the 70th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column O: the 75th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column P: the 80th + percentile of gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Part-Time'', column F: mean gross + weekly pay (£), part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column H: the + 10th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column I: the + 20th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column J: the + 25th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column K: the + 30th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column L: the + 40th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column M: the + 60th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column N: the + 70th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column O: the + 75th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column P: the + 80th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column Q: the + 90th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male full-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column D: median + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column F: mean + gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column H: the + 10th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column I: the + 20th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column J: the + 25th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column K: the + 30th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column L: the + 40th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column M: the + 60th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column N: the + 70th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column O: the + 75th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Full-Time'', column P: the + 80th percentile of gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column Q: the + 90th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p40_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p40_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p40_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p20_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p20_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p20_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p20_p25_p30_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p20_p25_p30_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p10_p20_p25_p30_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column P: the + 80th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column C: the + number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative purposes + only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column D: median + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column H: the + 10th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column I: the + 20th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column J: the + 25th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column K: the + 30th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column L: the + 40th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column M: the + 60th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column N: the + 70th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column O: the + 75th percentile of gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For male part-time employee + jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Male Part-Time'', column F: mean + gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column H: + the 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column O: + the 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column P: + the 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column Q: + the 90th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column H: + the 10th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column O: + the 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column P: + the 80th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column O: + the 75th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female full-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female full-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column D: + median gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column F: + mean gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column I: + the 20th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column J: + the 25th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column K: + the 30th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column L: + the 40th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column M: + the 60th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Full-Time'', column N: + the 70th percentile of gross weekly pay (£), female full-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column Q: + the 90th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p25 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p25.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p25 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 90th percentile of gross weekly pay + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column Q: + the 90th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 10th percentile of gross weekly pay + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column H: + the 10th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 20th percentile of gross weekly pay + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column I: + the 20th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 25th percentile of gross weekly pay + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column J: + the 25th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross.female_part_time.without_p10_p20_p25_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: estimate + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: estimate, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1a Weekly pay - Gross (£) - For female part-time + employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: Number of jobs + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs + source_concept: ons.ashe_weekly_pay_jobs + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column C: + the number of jobs (thousand) in the gross weekly pay estimates, which ONS calls ''for indicative + purposes only'' (footnote b), female part-time employee jobs, United Kingdom.' + unit: count + aggregation: sum + value_scale: 1000 + expected_cell_type: number + - measure_id: median + label: Median gross weekly pay + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column D: + median gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: median + expected_cell_type: number + - measure_id: mean + label: Mean gross weekly pay + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column F: + mean gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 30th percentile of gross weekly pay + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column K: + the 30th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 40th percentile of gross weekly pay + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column L: + the 40th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 60th percentile of gross weekly pay + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column M: + the 60th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 70th percentile of gross weekly pay + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column N: + the 70th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 75th percentile of gross weekly pay + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column O: + the 75th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 80th percentile of gross weekly pay + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay + source_concept: ons.ashe_gross_weekly_pay + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1a (2026 provisional), sheet ''Female Part-Time'', column P: + the 80th percentile of gross weekly pay (£), female part-time employee jobs, United Kingdom.' + unit: gbp + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_weekly_pay_gross_cv_2024_revised/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_cv_2024_revised/source_package.yaml new file mode 100644 index 00000000..63c8c9f3 --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_cv_2024_revised/source_package.yaml @@ -0,0 +1,11553 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1b 'coefficients of variation for Weekly pay - Gross (£)', United Kingdom, +# 2024 revised (released 23 October 2025), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2024 CV.xlsx' of the +# pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.1a (ons-ashe-table2-weekly-pay-gross-2024-revised): 'The CV is the ratio of +# the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 114 marked cells are not ported; 4098 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2024 revised estimates 'relate to the pay period that includes 17 April 2024' +# (Employee earnings in the UK: 2025); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). ONS's corrections notice of 3 +# November 2025: 'For the 2024 revised table, we published the 2024 provisional data +# instead of the revised data on release day, 23 October 2025. ... We have now corrected +# this and the 2024 revised table now contains the 2024 revised data.' The pinned zip, +# fetched on 4 November 2026, is the corrected table. +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-cv-2024-revised +label: 'ONS ASHE Table 2.1b: coefficients of variation for weekly pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2024 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1b Coefficients of variation for Weekly + pay - Gross (£), United Kingdom, 2024 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2024_revised + manifest: manifest.yaml + vintage: ashe_table2_2024_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.1b Weekly pay + - Gross 2024 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2024 CV.xlsx + artifact_year: 2024 +record_sets: +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all + sheet_name: All + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.all.without_p90 + sheet_name: All + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male + sheet_name: Male + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female.without_p10_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p25 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p25.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p25 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p10_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.male_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_full_time.without_p10_p70_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 9, expected_value: '12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 18, expected_value: '33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 25, expected_value: '51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 26, expected_value: '52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2024_revised.weekly_pay_gross_cv.female_part_time.without_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2024 + period_coverage: + start_date: '2024-04-17' + end_date: '2024-04-17' + basis: survey_reference + source_period_label: Pay period including 17 April 2024 + notes: 'ASHE 2024 revised estimates ''relate to the pay period that includes 17 April 2024'' (Employee + earnings in the UK: 2025); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2.1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom, 2024', label: table title} + - {column: B, row: 27, expected_value: '53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2024 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number diff --git a/packages/ons/ashe_table2_weekly_pay_gross_cv_2025_revised/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_cv_2025_revised/source_package.yaml new file mode 100644 index 00000000..8a9b0d43 --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_cv_2025_revised/source_package.yaml @@ -0,0 +1,13163 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1b 'coefficients of variation for Weekly pay - Gross (£)', United Kingdom, +# 2025 revised (released 22 October 2026), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2025 CV.xlsx' of the +# pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.1a (ons-ashe-table2-weekly-pay-gross-2025-revised): 'The CV is the ratio of +# the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 159 marked cells are not ported; 4053 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2025 revised estimates 'relate to the pay period that includes 30 April 2025' +# (Employee earnings in the UK: 2026); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-cv-2025-revised +label: 'ONS ASHE Table 2.1b: coefficients of variation for weekly pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2025 revised' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1b Coefficients of variation for Weekly + pay - Gross (£), United Kingdom, 2025 revised + resource_package: db + resource_directory: data/ons/ashe_table2_2025_revised + manifest: manifest.yaml + vintage: ashe_table2_2025_revised + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (Occupation SOC20 (2) Table 2.1b Weekly pay + - Gross 2025 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2025 CV.xlsx + artifact_year: 2025 +record_sets: +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all + sheet_name: All + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.all.without_p10_p90 + sheet_name: All + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male.without_p10_p90 + sheet_name: Male + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female.without_p10_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p10_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.part_time.without_median_p10_p20_p25_p30_p40_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Male Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2025_revised.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2025 + period_coverage: + start_date: '2025-04-30' + end_date: '2025-04-30' + basis: survey_reference + source_period_label: Pay period including 30 April 2025 + notes: 'ASHE 2025 revised estimates ''relate to the pay period that includes 30 April 2025'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2025', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2025 revised), sheet ''Female Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} diff --git a/packages/ons/ashe_table2_weekly_pay_gross_cv_2026_provisional/source_package.yaml b/packages/ons/ashe_table2_weekly_pay_gross_cv_2026_provisional/source_package.yaml new file mode 100644 index 00000000..1ed9db05 --- /dev/null +++ b/packages/ons/ashe_table2_weekly_pay_gross_cv_2026_provisional/source_package.yaml @@ -0,0 +1,13466 @@ +# ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC +# 2020, Table 2.1b 'coefficients of variation for Weekly pay - Gross (£)', United Kingdom, +# 2026 provisional (released 22 October 2026), for PolicyEngine/chronicle#407 +# (PolicyEngine/microcosm#1490). Written by scripts/build_uk_occupation_packages.py from +# the member 'PROV - Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2026 CV.xlsx' of +# the pinned zip. +# +# Every sheet but the notes is ported: all employee jobs, male, female, full-time, +# part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' row +# is its record sets' total, and its rows for the nine SOC 2020 major groups and 26 +# sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby +# soc2020_group). The detail rows hold both levels, so select one level by its filter and +# never sum across both. The coefficient of variation (CV) ONS publishes for each estimate +# in Table 2.1a (ons-ashe-table2-weekly-pay-gross-2026-provisional): 'The CV is the ratio +# of the standard error of an estimate to the estimate itself and is expressed as a +# percentage' (CV notes). Each fact takes its estimate's concept with the suffix +# _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the +# estimate's aggregation and dimensions, with statistic coefficient_of_variation and unit +# percent. ONS colours the estimates by these CVs (5 per cent or less 'precise', over 5 to +# 10 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; +# Chronicle reads no colours, so these facts carry the bands. +# +# A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' +# ('unavailable' in the CV key) emits no fact. A row with such a cell sits in a record set +# whose measures leave that column out ('without_p90' and the like), so the row's other +# cells are ported. The 'Not Classified' row prints ':' ('not applicable') and emits no +# fact. 156 marked cells are not ported; 4056 facts. +# +# ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken from HM +# Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with more than one +# job may appear in the sample more than once', and it 'does not cover the self-employed, +# nor does it cover employees not paid during the reference period' (Notes sheet). +# +# ASHE 2026 provisional estimates 'relate to the pay period that includes 22 April 2026' +# (Employee earnings in the UK: 2026); employees on adult rates whose pay for the survey +# pay-period was not affected by absence (table footnote a). +schema_version: ledger.source_package.v1 +package_id: ons-ashe-table2-weekly-pay-gross-cv-2026-provisional +label: 'ONS ASHE Table 2.1b: coefficients of variation for weekly pay - gross by two-digit SOC 2020 occupation, + sex and working pattern, United Kingdom, 2026 provisional' +dimension_labels: + soc2020_group: SOC 2020 occupation group + soc2020_major_group: SOC 2020 major group + soc2020_sub_major_group: SOC 2020 sub-major group + sex: Sex + working_pattern: Working pattern + statistic: Statistic + earnings_percentile: Earnings percentile +dimension_value_labels: + soc2020_major_group: + '1': Managers, directors and senior officials + '2': Professional occupations + '3': Associate professional occupations + '4': Administrative and secretarial occupations + '5': Skilled trades occupations + '6': Caring, leisure and other service occupations + '7': Sales and customer service occupations + '8': Process, plant and machine operatives + '9': Elementary occupations + soc2020_sub_major_group: + '11': Corporate managers and directors + '12': Other managers and proprietors + '21': Science, research, engineering and technology professionals + '22': Health professionals + '23': Teaching and other educational professionals + '24': Business, media and public service professionals + '31': Science, engineering and technology associate professionals + '32': Health and social care associate professionals + '33': Protective service occupations + '34': Culture, media and sports occupations + '35': Business and public service associate professionals + '41': Administrative occupations + '42': Secretarial and related occupations + '51': Skilled agricultural and related trades + '52': Skilled metal, electrical and electronic trades + '53': Skilled construction and building trades + '54': Textiles, printing and other skilled trades + '61': Caring personal service occupations + '62': Leisure, travel and related personal service occupations + '63': Community and civil enforcement occupations + '71': Sales occupations + '72': Customer service occupations + '81': Process, plant and machine operatives + '82': Transport and mobile machine drivers and operatives + '91': Elementary trades and related occupations + '92': Elementary administration and service occupations + sex: + all: All + male: Male + female: Female + working_pattern: + all: Full-time and part-time + full_time: Full-time + part_time: Part-time + statistic: + coefficient_of_variation: Coefficient of variation +artifact: + source_name: ons + source_table: ASHE Table 2 (occupation by two-digit SOC), Table 2.1b Coefficients of variation for Weekly + pay - Gross (£), United Kingdom, 2026 provisional + resource_package: db + resource_directory: data/ons/ashe_table2_2026_provisional + manifest: manifest.yaml + vintage: ashe_table2_2026_provisional + extracted_at: '2026-11-04' + extraction_method: ZIP member xlsx used-range cell parse (PROV - Occupation SOC20 (2) Table 2.1b Weekly + pay - Gross 2026 CV.xlsx) + parser: zip_xlsx_used_range + archive_member: PROV - Occupation SOC20 (2) Table 2.1b Weekly pay - Gross 2026 CV.xlsx + artifact_year: 2026 +record_sets: +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all + sheet_name: All + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.all.without_p90 + sheet_name: All + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For all employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), all employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), all employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''All'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), all employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p90 + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male.without_p10_p90 + sheet_name: Male + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), male employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), male employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), male employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female.without_p10_p80_p90 + sheet_name: Female + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: all + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), female employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), female employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), female employee jobs, United + Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time + sheet_name: Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.full_time.without_p90 + sheet_name: Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), full-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Full-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p30 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p30.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p30 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column Q: the coefficient + of variation (per cent) of the 90th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column H: the coefficient + of variation (per cent) of the 10th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column I: the coefficient + of variation (per cent) of the 20th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column J: the coefficient + of variation (per cent) of the 25th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_p10_p20_p25_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column C: the coefficient + of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, which + ONS calls ''for indicative purposes only'' (footnote b), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column D: the coefficient + of variation (per cent) of median gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column K: the coefficient + of variation (per cent) of the 30th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column L: the coefficient + of variation (per cent) of the 40th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column M: the coefficient + of variation (per cent) of the 60th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column N: the coefficient + of variation (per cent) of the 70th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column O: the coefficient + of variation (per cent) of the 75th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column P: the coefficient + of variation (per cent) of the 80th percentile of gross weekly pay (£), part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: all + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Part-Time'', column F: the coefficient + of variation (per cent) of mean gross weekly pay (£), part-time employee jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time + sheet_name: Male Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_full_time.without_p90 + sheet_name: Male Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male full-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male full-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Full-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column Q: the + coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p40_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p40_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p40_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p20_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p20_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p20_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p10_p20_p25_p30_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column P: the + coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column C: the + coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay estimates, + which ONS calls ''for indicative purposes only'' (footnote b), male part-time employee jobs, United + Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column D: the + coefficient of variation (per cent) of median gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column H: the + coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column I: the + coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column J: the + coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column K: the + coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column L: the + coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column M: the + coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column N: the + coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column O: the + coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), male part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.male_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Male Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: male + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: male, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For male part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Male Part-Time'', column F: the + coefficient of variation (per cent) of mean gross weekly pay (£), male part-time employee jobs, + United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_full_time.without_p10_p75_p80_p90 + sheet_name: Female Full-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: full_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: full_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female full-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female full-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Full-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female full-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: all + label: All occupations + ordinal: 0 + row_number: 6 + expected_row_header_column: A + expected_row_header: All employees + table_record_kind: total + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - value_id: soc_2 + label: Professional occupations + ordinal: 4 + row_number: 10 + expected_row_header_column: A + expected_row_header: Professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 2} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 2, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 10, expected_value: '''2', label: SOC 2020 code} + - value_id: soc_22 + label: Health professionals + ordinal: 6 + row_number: 12 + expected_row_header_column: A + expected_row_header: ' Health professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 22} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 22, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 12, expected_value: '''22', label: SOC 2020 code} + - value_id: soc_23 + label: Teaching and other educational professionals + ordinal: 7 + row_number: 13 + expected_row_header_column: A + expected_row_header: ' Teaching and other educational professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 23} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 23, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 13, expected_value: '''23', label: SOC 2020 code} + - value_id: soc_24 + label: Business, media and public service professionals + ordinal: 8 + row_number: 14 + expected_row_header_column: A + expected_row_header: ' Business, media and public service professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 24} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 24, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 14, expected_value: '''24', label: SOC 2020 code} + - value_id: soc_3 + label: Associate professional occupations + ordinal: 9 + row_number: 15 + expected_row_header_column: A + expected_row_header: Associate professional occupations + table_record_kind: detail + filters: {soc2020_major_group: 3} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 3, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 15, expected_value: '''3', label: SOC 2020 code} + - value_id: soc_32 + label: Health and social care associate professionals + ordinal: 11 + row_number: 17 + expected_row_header_column: A + expected_row_header: ' Health and social care associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 32} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 32, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 17, expected_value: '''32', label: SOC 2020 code} + - value_id: soc_35 + label: Business and public service associate professionals + ordinal: 14 + row_number: 20 + expected_row_header_column: A + expected_row_header: ' Business and public service associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 35} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 35, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 20, expected_value: '''35', label: SOC 2020 code} + - value_id: soc_4 + label: Administrative and secretarial occupations + ordinal: 15 + row_number: 21 + expected_row_header_column: A + expected_row_header: Administrative and secretarial occupations + table_record_kind: detail + filters: {soc2020_major_group: 4} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 4, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 21, expected_value: '''4', label: SOC 2020 code} + - value_id: soc_41 + label: Administrative occupations + ordinal: 16 + row_number: 22 + expected_row_header_column: A + expected_row_header: ' Administrative occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 41} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 41, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 22, expected_value: '''41', label: SOC 2020 code} + - value_id: soc_42 + label: Secretarial and related occupations + ordinal: 17 + row_number: 23 + expected_row_header_column: A + expected_row_header: ' Secretarial and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 42} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 42, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 23, expected_value: '''42', label: SOC 2020 code} + - value_id: soc_5 + label: Skilled trades occupations + ordinal: 18 + row_number: 24 + expected_row_header_column: A + expected_row_header: Skilled trades occupations + table_record_kind: detail + filters: {soc2020_major_group: 5} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 5, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 24, expected_value: '''5', label: SOC 2020 code} + - value_id: soc_54 + label: Textiles, printing and other skilled trades + ordinal: 22 + row_number: 28 + expected_row_header_column: A + expected_row_header: ' Textiles, printing and other skilled trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 54} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 54, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 28, expected_value: '''54', label: SOC 2020 code} + - value_id: soc_6 + label: Caring, leisure and other service occupations + ordinal: 23 + row_number: 29 + expected_row_header_column: A + expected_row_header: Caring, leisure and other service occupations + table_record_kind: detail + filters: {soc2020_major_group: 6} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 6, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 29, expected_value: '''6', label: SOC 2020 code} + - value_id: soc_61 + label: Caring personal service occupations + ordinal: 24 + row_number: 30 + expected_row_header_column: A + expected_row_header: ' Caring personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 61} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 61, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 30, expected_value: '''61', label: SOC 2020 code} + - value_id: soc_62 + label: Leisure, travel and related personal service occupations + ordinal: 25 + row_number: 31 + expected_row_header_column: A + expected_row_header: ' Leisure, travel and related personal service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 62} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 62, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 31, expected_value: '''62', label: SOC 2020 code} + - value_id: soc_7 + label: Sales and customer service occupations + ordinal: 27 + row_number: 33 + expected_row_header_column: A + expected_row_header: Sales and customer service occupations + table_record_kind: detail + filters: {soc2020_major_group: 7} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 7, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 33, expected_value: '''7', label: SOC 2020 code} + - value_id: soc_71 + label: Sales occupations + ordinal: 28 + row_number: 34 + expected_row_header_column: A + expected_row_header: ' Sales occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 71} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 71, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 34, expected_value: '''71', label: SOC 2020 code} + - value_id: soc_72 + label: Customer service occupations + ordinal: 29 + row_number: 35 + expected_row_header_column: A + expected_row_header: ' Customer service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 72} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 72, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 35, expected_value: '''72', label: SOC 2020 code} + - value_id: soc_8 + label: Process, plant and machine operatives + ordinal: 30 + row_number: 36 + expected_row_header_column: A + expected_row_header: Process, plant and machine operatives + table_record_kind: detail + filters: {soc2020_major_group: 8} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 8, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 36, expected_value: '''8', label: SOC 2020 code} + - value_id: soc_9 + label: Elementary occupations + ordinal: 33 + row_number: 39 + expected_row_header_column: A + expected_row_header: Elementary occupations + table_record_kind: detail + filters: {soc2020_major_group: 9} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 9, label: SOC 2020 major group} + guard_cells: + - {column: B, row: 39, expected_value: '''9', label: SOC 2020 code} + - value_id: soc_92 + label: Elementary administration and service occupations + ordinal: 35 + row_number: 41 + expected_row_header_column: A + expected_row_header: ' Elementary administration and service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 92} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 92, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 41, expected_value: '''92', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p25 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p25.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p25 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_1 + label: Managers, directors and senior officials + ordinal: 1 + row_number: 7 + expected_row_header_column: A + expected_row_header: Managers, directors and senior officials + table_record_kind: detail + filters: {soc2020_major_group: 1} + constraints: + - {variable: soc2020_major_group, operator: ==, value: 1, label: SOC 2020 major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 7, expected_value: '''1', label: SOC 2020 code} + - value_id: soc_11 + label: Corporate managers and directors + ordinal: 2 + row_number: 8 + expected_row_header_column: A + expected_row_header: ' Corporate managers and directors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 11} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 11, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 8, expected_value: '''11', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} + - measure_id: p90 + label: 'Coefficient of variation: 90th percentile of gross weekly pay' + ordinal: 12 + column: Q + source_column_id: p90 + expected_column_header_row: 5 + expected_column_header: 90 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column Q: + the coefficient of variation (per cent) of the 90th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 90} + constraints: + - {variable: earnings_percentile, operator: ==, value: 90, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_12 + label: Other managers and proprietors + ordinal: 3 + row_number: 9 + expected_row_header_column: A + expected_row_header: ' Other managers and proprietors' + table_record_kind: detail + filters: {soc2020_sub_major_group: 12} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 12, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 9, expected_value: '''12', label: SOC 2020 code} + - value_id: soc_21 + label: Science, research, engineering and technology professionals + ordinal: 5 + row_number: 11 + expected_row_header_column: A + expected_row_header: ' Science, research, engineering and technology professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 21} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 21, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 11, expected_value: '''21', label: SOC 2020 code} + - value_id: soc_31 + label: Science, engineering and technology associate professionals + ordinal: 10 + row_number: 16 + expected_row_header_column: A + expected_row_header: ' Science, engineering and technology associate professionals' + table_record_kind: detail + filters: {soc2020_sub_major_group: 31} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 31, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 16, expected_value: '''31', label: SOC 2020 code} + - value_id: soc_34 + label: Culture, media and sports occupations + ordinal: 13 + row_number: 19 + expected_row_header_column: A + expected_row_header: ' Culture, media and sports occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 34} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 34, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 19, expected_value: '''34', label: SOC 2020 code} + - value_id: soc_81 + label: Process, plant and machine operatives + ordinal: 31 + row_number: 37 + expected_row_header_column: A + expected_row_header: ' Process, plant and machine operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 81} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 81, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 37, expected_value: '''81', label: SOC 2020 code} + - value_id: soc_82 + label: Transport and mobile machine drivers and operatives + ordinal: 32 + row_number: 38 + expected_row_header_column: A + expected_row_header: ' Transport and mobile machine drivers and operatives' + table_record_kind: detail + filters: {soc2020_sub_major_group: 82} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 82, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 38, expected_value: '''82', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p10 + label: 'Coefficient of variation: 10th percentile of gross weekly pay' + ordinal: 3 + column: H + source_column_id: p10 + expected_column_header_row: 5 + expected_column_header: 10 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column H: + the coefficient of variation (per cent) of the 10th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 10} + constraints: + - {variable: earnings_percentile, operator: ==, value: 10, label: Earnings percentile} + - measure_id: p20 + label: 'Coefficient of variation: 20th percentile of gross weekly pay' + ordinal: 4 + column: I + source_column_id: p20 + expected_column_header_row: 5 + expected_column_header: 20 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column I: + the coefficient of variation (per cent) of the 20th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 20} + constraints: + - {variable: earnings_percentile, operator: ==, value: 20, label: Earnings percentile} + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_33 + label: Protective service occupations + ordinal: 12 + row_number: 18 + expected_row_header_column: A + expected_row_header: ' Protective service occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 33} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 33, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 18, expected_value: '''33', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p25 + label: 'Coefficient of variation: 25th percentile of gross weekly pay' + ordinal: 5 + column: J + source_column_id: p25 + expected_column_header_row: 5 + expected_column_header: 25 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column J: + the coefficient of variation (per cent) of the 25th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 25} + constraints: + - {variable: earnings_percentile, operator: ==, value: 25, label: Earnings percentile} + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p30_p40_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_51 + label: Skilled agricultural and related trades + ordinal: 19 + row_number: 25 + expected_row_header_column: A + expected_row_header: ' Skilled agricultural and related trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 51} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 51, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 25, expected_value: '''51', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_52 + label: Skilled metal, electrical and electronic trades + ordinal: 20 + row_number: 26 + expected_row_header_column: A + expected_row_header: ' Skilled metal, electrical and electronic trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 52} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 52, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 26, expected_value: '''52', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_jobs_median_p10_p20_p25_p30_p40_p60_p70_p75_p80_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_53 + label: Skilled construction and building trades + ordinal: 21 + row_number: 27 + expected_row_header_column: A + expected_row_header: ' Skilled construction and building trades' + table_record_kind: detail + filters: {soc2020_sub_major_group: 53} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 53, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 27, expected_value: '''53', label: SOC 2020 code} + - value_id: soc_63 + label: Community and civil enforcement occupations + ordinal: 26 + row_number: 32 + expected_row_header_column: A + expected_row_header: ' Community and civil enforcement occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 63} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 63, label: SOC 2020 sub-major group} + guard_cells: + - {column: B, row: 32, expected_value: '''63', label: SOC 2020 code} + measures: + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number +- record_set_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90 + provenance_class: survey_aggregate + survey_instrument: Annual Survey of Hours and Earnings + assertion: observation + record_set_spec_id: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90.v1 + source_record_id_prefix: ons.ashe_table2.2026_provisional.weekly_pay_gross_cv.female_part_time.without_p10_p20_p25_p90 + sheet_name: Female Part-Time + period_type: calendar_year + period: 2026 + period_coverage: + start_date: '2026-04-22' + end_date: '2026-04-22' + basis: survey_reference + source_period_label: Pay period including 22 April 2026 + notes: 'ASHE 2026 provisional estimates ''relate to the pay period that includes 22 April 2026'' (Employee + earnings in the UK: 2026); employees on adult rates whose pay for the survey pay-period was not + affected by absence (table footnote a).' + geography_id: K02000001 + geography_level: country + geography_name: United Kingdom + geography_vintage: current + entity: person + entity_role: employee_job + domain: employment_earnings + groupby_dimension: soc2020_group + shared_filters: + sex: female + working_pattern: part_time + statistic: coefficient_of_variation + shared_constraints: + - {variable: sex, operator: ==, value: female, label: Sex} + - {variable: working_pattern, operator: ==, value: part_time, label: Working pattern} + - {variable: statistic, operator: ==, value: coefficient_of_variation, label: Statistic} + rows: + - value_id: soc_91 + label: Elementary trades and related occupations + ordinal: 34 + row_number: 40 + expected_row_header_column: A + expected_row_header: ' Elementary trades and related occupations' + table_record_kind: detail + filters: {soc2020_sub_major_group: 91} + constraints: + - {variable: soc2020_sub_major_group, operator: ==, value: 91, label: SOC 2020 sub-major group} + guard_cells: + - {column: A, row: 1, expected_value: 'Table 2 .1b Coefficients of variation for Weekly pay - Gross + (£) - For female part-time employee jobsa: United Kingdom 2026', label: table title} + - {column: B, row: 40, expected_value: '''91', label: SOC 2020 code} + measures: + - measure_id: jobs + label: 'Coefficient of variation: number of jobs' + ordinal: 0 + column: C + source_column_id: jobs + expected_column_header_row: 4 + expected_column_header: of jobsb + concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + source_concept: ons.ashe_weekly_pay_jobs_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column C: + the coefficient of variation (per cent) of the number of jobs (thousand) in the gross weekly pay + estimates, which ONS calls ''for indicative purposes only'' (footnote b), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: sum + expected_cell_type: number + - measure_id: median + label: 'Coefficient of variation: median gross weekly pay' + ordinal: 1 + column: D + source_column_id: median + expected_column_header_row: 5 + expected_column_header: Median + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column D: + the coefficient of variation (per cent) of median gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: median + expected_cell_type: number + - measure_id: mean + label: 'Coefficient of variation: mean gross weekly pay' + ordinal: 2 + column: F + source_column_id: mean + expected_column_header_row: 5 + expected_column_header: Mean + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column F: + the coefficient of variation (per cent) of mean gross weekly pay (£), female part-time employee + jobs, United Kingdom.' + unit: percent + aggregation: mean + expected_cell_type: number + - measure_id: p30 + label: 'Coefficient of variation: 30th percentile of gross weekly pay' + ordinal: 6 + column: K + source_column_id: p30 + expected_column_header_row: 5 + expected_column_header: 30 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column K: + the coefficient of variation (per cent) of the 30th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 30} + constraints: + - {variable: earnings_percentile, operator: ==, value: 30, label: Earnings percentile} + - measure_id: p40 + label: 'Coefficient of variation: 40th percentile of gross weekly pay' + ordinal: 7 + column: L + source_column_id: p40 + expected_column_header_row: 5 + expected_column_header: 40 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column L: + the coefficient of variation (per cent) of the 40th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 40} + constraints: + - {variable: earnings_percentile, operator: ==, value: 40, label: Earnings percentile} + - measure_id: p60 + label: 'Coefficient of variation: 60th percentile of gross weekly pay' + ordinal: 8 + column: M + source_column_id: p60 + expected_column_header_row: 5 + expected_column_header: 60 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column M: + the coefficient of variation (per cent) of the 60th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 60} + constraints: + - {variable: earnings_percentile, operator: ==, value: 60, label: Earnings percentile} + - measure_id: p70 + label: 'Coefficient of variation: 70th percentile of gross weekly pay' + ordinal: 9 + column: N + source_column_id: p70 + expected_column_header_row: 5 + expected_column_header: 70 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column N: + the coefficient of variation (per cent) of the 70th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 70} + constraints: + - {variable: earnings_percentile, operator: ==, value: 70, label: Earnings percentile} + - measure_id: p75 + label: 'Coefficient of variation: 75th percentile of gross weekly pay' + ordinal: 10 + column: O + source_column_id: p75 + expected_column_header_row: 5 + expected_column_header: 75 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column O: + the coefficient of variation (per cent) of the 75th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 75} + constraints: + - {variable: earnings_percentile, operator: ==, value: 75, label: Earnings percentile} + - measure_id: p80 + label: 'Coefficient of variation: 80th percentile of gross weekly pay' + ordinal: 11 + column: P + source_column_id: p80 + expected_column_header_row: 5 + expected_column_header: 80 + concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + source_concept: ons.ashe_gross_weekly_pay_coefficient_of_variation + concept_relation: source_label + concept_authority: ons + concept_evidence_url: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2 + concept_evidence_notes: 'ASHE Table 2.1b (2026 provisional), sheet ''Female Part-Time'', column P: + the coefficient of variation (per cent) of the 80th percentile of gross weekly pay (£), female part-time + employee jobs, United Kingdom.' + unit: percent + aggregation: quantile + expected_cell_type: number + filters: {earnings_percentile: 80} + constraints: + - {variable: earnings_percentile, operator: ==, value: 80, label: Earnings percentile} diff --git a/scripts/build_dimension_value_register.py b/scripts/build_dimension_value_register.py index 26f9735f..ffd86d34 100644 --- a/scripts/build_dimension_value_register.py +++ b/scripts/build_dimension_value_register.py @@ -184,6 +184,10 @@ ("salary_sacrifice_threshold_position", "all"): "All threshold positions", ("sex", "female"): "Female", ("sex", "male"): "Male", + # SOC 2020's name for major group 3, as ASHE Table 2 and Nomis APS218 print it + # (the chronicle#407 packages); the ASHE pension tables print SOC 2010's + # "Associate professional and technical occupations". + ("soc2020_major_group", "3"): "Associate professional occupations", } DESCRIPTION = ( diff --git a/scripts/build_uk_occupation_packages.py b/scripts/build_uk_occupation_packages.py new file mode 100644 index 00000000..2c6394e2 --- /dev/null +++ b/scripts/build_uk_occupation_packages.py @@ -0,0 +1,1436 @@ +"""Generate the source packages for PolicyEngine/chronicle#407. + +Run from the repository root: + + uv run python scripts/build_uk_occupation_packages.py + +``--check`` compares the generated YAML with the committed files instead of writing. +Every package is written from its pinned artifact, read with Chronicle's own parsers, +so every row number, column and guard cell below is one the package parser sees. The +publisher's text is asserted cell by cell, so a run against different bytes fails +rather than drifting. Nothing is downloaded and no value is computed. + +- ``ons-aps218-occupation-*``: ONS Annual Population Survey estimates on Nomis (dataset + APS218, NM_218_1) of people in employment by SOC 2020 major and sub-major group, by + sex and by employee or self-employed status, for the UK, its four countries and the + nine English regions: April 2024 to March 2025, January to December 2025 and April + 2025 to March 2026, each estimate with the half-width of its confidence interval + where Nomis publishes one. +- ``ons-ashe-table2-*``: ONS ASHE Table 2 (earnings by two-digit SOC 2020) for the UK, + 2024 revised, 2025 revised and 2026 provisional: Tables 2.1a (gross weekly pay) and + 2.7a (gross annual pay), and the coefficients of variation ONS publishes for them in + Tables 2.1b and 2.7b. +""" + +from __future__ import annotations + +import argparse +import hashlib +import io +import textwrap +import zipfile +from dataclasses import dataclass +from pathlib import Path + +import yaml +from openpyxl.utils import get_column_letter + +from chronicle.sources.cells import SourceArtifactMetadata, source_cells_from_xlsx +from chronicle.sources.rows import source_rows_from_delimited_text + +ROOT = Path(__file__).resolve().parents[1] +PACKAGES = ROOT / "packages" +DATA = ROOT / "db/data" +EXTRACTED_AT = "2026-11-04" +ISSUE = "PolicyEngine/chronicle#407" +CONSUMER = "PolicyEngine/microcosm#1490" +SCRIPT = "scripts/build_uk_occupation_packages.py" + + +class Flow(dict): + """A small mapping written on one line, as the families package writes guards.""" + + +class PackageDumper(yaml.SafeDumper): + """Plain YAML with no anchors, so every record set reads on its own.""" + + def ignore_aliases(self, data: object) -> bool: + return True + + +PackageDumper.add_representer( + Flow, + lambda dumper, data: dumper.represent_mapping( + "tag:yaml.org,2002:map", data, flow_style=True + ), +) + + +def render(header: str, payload: dict) -> str: + """The header's paragraphs, rewrapped as comment lines, then the package. + + URLs and package ids are long and hyphenated, so lines break only at spaces. + """ + lines: list[str] = [] + for paragraph in textwrap.dedent(header).strip().split("\n\n"): + if lines: + lines.append("") + lines += textwrap.wrap( + " ".join(paragraph.split()), + width=88, + break_long_words=False, + break_on_hyphens=False, + ) + comment = "".join(f"# {line}".rstrip() + "\n" for line in lines) + return comment + yaml.dump( + payload, Dumper=PackageDumper, sort_keys=False, allow_unicode=True, width=100 + ) + + +def metadata(filename: str) -> SourceArtifactMetadata: + return SourceArtifactMetadata( + source_name="", + source_table="", + source_file=filename, + url=None, + vintage="", + sha256="", + size_bytes=0, + extracted_at="", + extraction_method="", + ) + + +def pinned(directory: str) -> tuple[dict, bytes]: + """The manifest's one file entry and its bytes, checked against the pinned digest.""" + manifest = yaml.safe_load((DATA / directory / "manifest.yaml").read_text()) + (entry,) = manifest["files"].values() + content = (DATA / directory / entry["filename"]).read_bytes() + assert hashlib.sha256(content).hexdigest() == entry["sha256"], directory + assert len(content) == entry["size_bytes"], directory + return entry, content + + +def write(directory: str, text: str) -> None: + path = PACKAGES / directory / "source_package.yaml" + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text(text, encoding="utf-8") + + +def constraint(variable: str, value: object, label: str) -> Flow: + return Flow(variable=variable, operator="==", value=value, label=label) + + +def guard(column: str, row: int, value: object, label: str) -> Flow: + return Flow(column=column, row=row, expected_value=value, label=label) + + +# ---------------------------------------------------------------- SOC 2020 groups + +# The nine major and 26 sub-major groups of SOC 2020, in ASHE Table 2's wording, which +# the generator asserts against every ASHE sheet. Nomis prints the same codes with its +# own capitalisation (and truncates major group 1); its text is guarded on each row. +SOC_MAJOR_GROUPS = { + 1: "Managers, directors and senior officials", + 2: "Professional occupations", + 3: "Associate professional occupations", + 4: "Administrative and secretarial occupations", + 5: "Skilled trades occupations", + 6: "Caring, leisure and other service occupations", + 7: "Sales and customer service occupations", + 8: "Process, plant and machine operatives", + 9: "Elementary occupations", +} +SOC_SUB_MAJOR_GROUPS = { + 11: "Corporate managers and directors", + 12: "Other managers and proprietors", + 21: "Science, research, engineering and technology professionals", + 22: "Health professionals", + 23: "Teaching and other educational professionals", + 24: "Business, media and public service professionals", + 31: "Science, engineering and technology associate professionals", + 32: "Health and social care associate professionals", + 33: "Protective service occupations", + 34: "Culture, media and sports occupations", + 35: "Business and public service associate professionals", + 41: "Administrative occupations", + 42: "Secretarial and related occupations", + 51: "Skilled agricultural and related trades", + 52: "Skilled metal, electrical and electronic trades", + 53: "Skilled construction and building trades", + 54: "Textiles, printing and other skilled trades", + 61: "Caring personal service occupations", + 62: "Leisure, travel and related personal service occupations", + 63: "Community and civil enforcement occupations", + 71: "Sales occupations", + 72: "Customer service occupations", + 81: "Process, plant and machine operatives", + 82: "Transport and mobile machine drivers and operatives", + 91: "Elementary trades and related occupations", + 92: "Elementary administration and service occupations", +} +ALL_OCCUPATIONS = "All occupations" + + +@dataclass(frozen=True) +class Occupation: + code: int | None # None for all occupations + label: str + + @property + def value_id(self) -> str: + return "all" if self.code is None else f"soc_{self.code}" + + @property + def major(self) -> bool: + return self.code is not None and self.code < 10 + + def dimension(self) -> tuple[str, int] | None: + if self.code is None: + return None + return ( + ("soc2020_major_group", self.code) + if self.major + else ("soc2020_sub_major_group", self.code) + ) + + +# All occupations, then each major group followed by its sub-major groups: the order +# both publishers print them in. +OCCUPATIONS = (Occupation(None, ALL_OCCUPATIONS),) + tuple( + occupation + for major, label in SOC_MAJOR_GROUPS.items() + for occupation in ( + Occupation(major, label), + *( + Occupation(code, sub_label) + for code, sub_label in SOC_SUB_MAJOR_GROUPS.items() + if code // 10 == major + ), + ) +) +assert len(OCCUPATIONS) == 36 + +SOC_DIMENSION_LABELS = { + "soc2020_major_group": "SOC 2020 major group", + "soc2020_sub_major_group": "SOC 2020 sub-major group", +} + +# Labels for every dimension and value the packages use. A package declares the +# ones its facts use (Chronicle refuses a declaration no fact uses); the values two +# packages emit are also in chronicle/dimension_values/canonical_labels.json. +DIMENSION_LABELS = { + "soc2020_group": "SOC 2020 occupation group", + **SOC_DIMENSION_LABELS, + "sex": "Sex", + "employment_status": "Employment status", + "working_pattern": "Working pattern", + "statistic": "Statistic", + "earnings_percentile": "Earnings percentile", +} +VALUE_LABELS = { + "soc2020_major_group": { + str(code): label for code, label in SOC_MAJOR_GROUPS.items() + }, + "soc2020_sub_major_group": { + str(code): label for code, label in SOC_SUB_MAJOR_GROUPS.items() + }, + "sex": {"all": "All", "male": "Male", "female": "Female"}, + "employment_status": { + "all": "All in employment", + "employee": "Employees", + "self_employed": "Self-employed", + }, + "working_pattern": { + "all": "Full-time and part-time", + "full_time": "Full-time", + "part_time": "Part-time", + }, + "statistic": { + "estimate": "Estimate", + "confidence_interval_half_width": "Confidence interval half-width", + "coefficient_of_variation": "Coefficient of variation", + }, +} + + +def declarations(record_sets: list[dict]) -> tuple[dict, dict]: + """The dimension and value labels the record sets' facts use.""" + used: dict[str, set[str]] = {} + for record_set in record_sets: + used.setdefault(record_set["groupby_dimension"], set()) + filters = [record_set.get("shared_filters", {})] + filters += [row.get("filters", {}) for row in record_set["rows"]] + filters += [measure.get("filters", {}) for measure in record_set["measures"]] + for mapping in filters: + for key, value in mapping.items(): + used.setdefault(key, set()).add(str(value)) + dimension_labels = { + key: DIMENSION_LABELS[key] for key in DIMENSION_LABELS if key in used + } + value_labels = { + key: { + value: label + for value, label in VALUE_LABELS[key].items() + if value in used[key] + } + for key in VALUE_LABELS + if used.get(key) + } + return dimension_labels, value_labels + + +def category(variable: str, value: str) -> tuple[dict, list[Flow]]: + """A publisher category as a filter and, unless it is 'all', a constraint.""" + if value == "all": + return {variable: value}, [] + label = DIMENSION_LABELS[variable] + return {variable: value}, [constraint(variable, value, label)] + + +def shared(*pairs: tuple[str, str]) -> tuple[dict, list[Flow]]: + filters: dict = {} + constraints: list[Flow] = [] + for variable, value in pairs: + more_filters, more_constraints = category(variable, value) + filters.update(more_filters) + constraints += more_constraints + return filters, constraints + + +def occupation_semantics(occupation: Occupation) -> tuple[Flow, list[Flow]] | None: + dimension = occupation.dimension() + if dimension is None: + return None + variable, code = dimension + return Flow({variable: code}), [ + constraint(variable, code, SOC_DIMENSION_LABELS[variable]) + ] + + +UNITED_KINGDOM = { + "geography_id": "K02000001", + "geography_level": "country", + "geography_name": "United Kingdom", + "geography_vintage": "current", +} + + +# ---------------------------------------------------------------- 1. Nomis APS218 + +NOMIS_PAGE = "https://www.nomisweb.co.uk/datasets/aps218" +NOMIS_SOURCES = "https://www.nomisweb.co.uk/sources/aps" +NOMIS_TITLE = "annual population survey - regional - occupation (SOC2020) by sex by employment type" +APS_INSTRUMENT = "Annual Population Survey" +APS_COLUMNS = ( + "DATE_NAME", + "GEOGRAPHY_CODE", + "GEOGRAPHY_NAME", + "C_SEX_NAME", + "ETYPE_NAME", + "FTPT_NAME", + "JTYPE_NAME", + "SOC2020_FULL_NAME", + "MEASURE_NAME", + "MEASURES_NAME", + "OBS_VALUE", + "OBS_STATUS", + "OBS_STATUS_NAME", +) +COLUMN = {name: get_column_letter(index + 1) for index, name in enumerate(APS_COLUMNS)} +# Nomis's observation statuses in these responses, as its OBS_STATUS_NAME column words them. +APS_STATUSES = { + "A": "Normal Value", + "F": ( + "Estimate and confidence interval not available since the group sample size is " + "zero or disclosive (0-2)" + ), + "G": ( + "Estimate and confidence interval unreliable since the group sample size is " + "small (3-9)" + ), + "H": "Estimate is less than 500", +} +# Geography code, Chronicle level, and the name Chronicle's UK register gives it (Nomis +# names E12000006 'East'). +APS_GEOGRAPHIES = ( + ("K02000001", "country", "United Kingdom"), + ("E92000001", "country", "England"), + ("W92000004", "country", "Wales"), + ("S92000003", "country", "Scotland"), + ("N92000002", "country", "Northern Ireland"), + ("E12000001", "region", "North East"), + ("E12000002", "region", "North West"), + ("E12000003", "region", "Yorkshire and The Humber"), + ("E12000004", "region", "East Midlands"), + ("E12000005", "region", "West Midlands"), + ("E12000006", "region", "East of England"), + ("E12000007", "region", "London"), + ("E12000008", "region", "South East"), + ("E12000009", "region", "South West"), +) +APS_COUNTRIES = ("E92000001", "W92000004", "S92000003", "N92000002") +APS_REGIONS = tuple(code for code, level, _ in APS_GEOGRAPHIES if level == "region") +# Chronicle value id and the Nomis C_SEX_NAME and ETYPE_NAME it reads. +APS_SEXES = (("all", "All persons"), ("male", "Males"), ("female", "Females")) +APS_EMPLOYMENT = ( + ("all", "Total"), + ("employee", "Employee"), + ("self_employed", "Self-employed"), +) +# Chronicle statistic and the Nomis MEASURES_NAME it reads. +APS_STATISTICS = ( + ("estimate", "Value"), + ("confidence_interval_half_width", "Confidence"), +) +APS_CONCEPT = "ons.aps_people_in_employment" +# The interval has a concept of its own, as the ACS packages' margins of error do, so a +# reader that selects by concept never sums an estimate with its interval. +APS_INTERVAL_CONCEPT = f"{APS_CONCEPT}_confidence_interval_half_width" +# Every major group adds to slightly less than the all-occupations total; the most the +# packages' totals exceed their parts by, as a share of the total. +APS_MAJOR_GAP_LIMIT = 0.01 + + +@dataclass(frozen=True) +class ApsPeriod: + slug: str + nomis_date: str + label: str + period_type: str + period: int + start_date: str + end_date: str + released: str + artifact_year: int + title: str + + @property + def package_id(self) -> str: + return f"ons-aps218-occupation-{self.slug.replace('_', '-')}" + + @property + def directory(self) -> str: + return f"ons/aps218_occupation_{self.slug}" + + @property + def filename(self) -> str: + return f"aps218_occupation_{self.slug}.csv" + + +APS_PERIODS = ( + ApsPeriod( + slug="apr_2024_mar_2025", + nomis_date="2025-03", + label="Apr 2024-Mar 2025", + period_type="fiscal_year", + period=2024, + start_date="2024-04-01", + end_date="2025-03-31", + released="17 July 2025", + artifact_year=2025, + title="April 2024 to March 2025", + ), + ApsPeriod( + slug="jan_dec_2025", + nomis_date="2025-12", + label="Jan 2025-Dec 2025", + period_type="calendar_year", + period=2025, + start_date="2025-01-01", + end_date="2025-12-31", + released="21 April 2026", + artifact_year=2025, + title="January to December 2025", + ), + ApsPeriod( + slug="apr_2025_mar_2026", + nomis_date="2026-03", + label="Apr 2025-Mar 2026", + period_type="fiscal_year", + period=2025, + start_date="2025-04-01", + end_date="2026-03-31", + released="21 July 2026", + artifact_year=2026, + title="April 2025 to March 2026", + ), +) + + +def nomis_occupation_label(text: str) -> int | None: + """Nomis's 'Total' -> None; '11 : Corporate Managers And Directors' -> 11.""" + if text == "Total": + return None + code, _, name = text.partition(" : ") + assert code.isdigit() and name, text + return int(code) + + +def aps_notes(period: ApsPeriod) -> str: + return ( + f"Nomis APS218 (NM_218_1), {period.label}, revision 0 released {period.released}: " + "people in employment resident in the area, by occupation (SOC 2020), full-time " + "and part-time and all job types together, rounded to the nearest hundred. A " + "cell Nomis marks F (sample of 0 to 2) or H (estimate under 500) is blank and " + "emits no fact. An estimate whose interval Nomis marks G ('unreliable since the " + "group sample size is small (3-9)') or F is published without the interval; " + "the interval's status is guarded in the estimate's lineage. Nomis's one " + "revision of the dataset, on 27 January 2023, re-released October 2021 to " + "September 2022 ('Estimates revised due to identified error'), not this period." + ) + + +def aps_measure(statistic: str, dimensions: dict) -> dict: + if statistic == "estimate": + concept = APS_CONCEPT + measure_id, label = "people_in_employment", "People in employment" + notes = ( + "Nomis APS218 measure 'Value' of measure 'Count': the estimated number of " + "people in employment in the cell, rounded to the nearest hundred." + ) + else: + concept = APS_INTERVAL_CONCEPT + measure_id = "people_in_employment_confidence_interval_half_width" + label = "People in employment, confidence interval half-width" + notes = ( + "Nomis APS218 measure 'Confidence' of measure 'Count', published beside " + "each estimate: the half-width (plus or minus) of the estimate's confidence " + "interval, in people. Nomis's dataset pages do not state the interval's " + "level; Scottish Government APS publications call the confidence limits " + "Nomis publishes 95 per cent limits." + ) + return { + "measure_id": measure_id, + "label": label, + "ordinal": 0, + "column": COLUMN["OBS_VALUE"], + "source_column_id": "OBS_VALUE", + "source_column_dimensions": Flow(dimensions), + "expected_column_header_row": 1, + "expected_column_header": "OBS_VALUE", + "concept": concept, + "source_concept": concept, + "concept_relation": "source_label", + "concept_authority": "ons", + "concept_evidence_url": NOMIS_PAGE, + "concept_evidence_notes": notes, + "unit": "count", + "aggregation": "sum", + "expected_cell_type": "number", + } + + +def aps_rows(period: ApsPeriod) -> tuple[dict, dict]: + """Index the pinned response's rows by their dimension text, asserting its layout.""" + entry, content = pinned(period.directory) + assert entry["filename"] == period.filename + assert f"date={period.nomis_date}&" in entry["source_url"] + rows = source_rows_from_delimited_text( + content, metadata(period.filename), sheet_name=period.filename + ) + assert len(rows) == 14 * 3 * 3 * 36 * 2, len(rows) + index: dict[tuple[str, str, str, int | None, str], object] = {} + for row in rows: + values = row.values + assert tuple(values) == APS_COLUMNS, tuple(values) + assert values["DATE_NAME"] == period.label, values + assert (values["FTPT_NAME"], values["JTYPE_NAME"], values["MEASURE_NAME"]) == ( + "Total", + "Total", + "Count", + ), values + status = values["OBS_STATUS"] + assert APS_STATUSES[status] == values["OBS_STATUS_NAME"], values + assert (values["OBS_VALUE"] in (None, "")) == (status != "A"), values + key = ( + values["GEOGRAPHY_CODE"], + values["C_SEX_NAME"], + values["ETYPE_NAME"], + nomis_occupation_label(values["SOC2020_FULL_NAME"]), + values["MEASURES_NAME"], + ) + assert key not in index, key + index[key] = row + return entry, index + + +def aps_check_parity(period: ApsPeriod, index: dict) -> float: + """Assert the issue's parity checks on the published estimates. + + Sub-major groups add to their major group, the countries to the UK and the regions + to England, each within the rounding of every count to the nearest hundred. The + major groups add to the all-occupations total less people in no major group, so + the total is at least their sum, within rounding, and at most 1 per cent above it. + Returns the largest gap between a total and its major groups, as a share. + """ + + def value(geography: str, sex: str, status: str, code: int | None) -> int | None: + row = index[(geography, sex, status, code, "Value")] + number = row.values["OBS_VALUE"] + return None if number in (None, "") else number + + def within(parts: list, whole: int | None) -> bool | None: + if whole is None or None in parts: + return None + return abs(sum(parts) - whole) <= 50 * (len(parts) + 1) + + largest_gap = 0.0 + for _, sex in APS_SEXES: + for _, status in APS_EMPLOYMENT: + for geography, _, _ in APS_GEOGRAPHIES: + total = value(geography, sex, status, None) + majors = [ + value(geography, sex, status, code) for code in SOC_MAJOR_GROUPS + ] + if total is not None and None not in majors: + gap = total - sum(majors) + assert gap >= -50 * (len(majors) + 1), (geography, sex, status, gap) + assert gap <= APS_MAJOR_GAP_LIMIT * total, ( + geography, + sex, + status, + gap, + ) + largest_gap = max(largest_gap, gap / total) + for major in SOC_MAJOR_GROUPS: + parts = [ + value(geography, sex, status, code) + for code in SOC_SUB_MAJOR_GROUPS + if code // 10 == major + ] + whole = value(geography, sex, status, major) + assert within(parts, whole) is not False, ( + geography, + sex, + status, + major, + ) + for occupation in OCCUPATIONS: + code = occupation.code + countries = [ + value(country, sex, status, code) for country in APS_COUNTRIES + ] + assert ( + within(countries, value("K02000001", sex, status, code)) + is not False + ) + regions = [value(region, sex, status, code) for region in APS_REGIONS] + assert ( + within(regions, value("E92000001", sex, status, code)) is not False + ) + return largest_gap + + +def build_aps(period: ApsPeriod) -> str: + entry, index = aps_rows(period) + largest_gap = aps_check_parity(period, index) + coverage = { + "start_date": period.start_date, + "end_date": period.end_date, + "basis": "survey_reference", + "source_period_label": period.label, + "notes": aps_notes(period), + } + record_sets = [] + for geography, level, name in APS_GEOGRAPHIES: + for sex, sex_text in APS_SEXES: + for status, status_text in APS_EMPLOYMENT: + for statistic, measures_text in APS_STATISTICS: + filters, constraints = shared( + ("sex", sex), + ("employment_status", status), + ("statistic", statistic), + ) + rows = [] + for ordinal, occupation in enumerate(OCCUPATIONS): + row = index[ + ( + geography, + sex_text, + status_text, + occupation.code, + measures_text, + ) + ] + if row.values["OBS_STATUS"] != "A": + continue + number = row.row_number + guards = [ + guard( + COLUMN["GEOGRAPHY_CODE"], number, geography, "geography" + ), + guard(COLUMN["C_SEX_NAME"], number, sex_text, "sex"), + guard( + COLUMN["ETYPE_NAME"], + number, + status_text, + "employment type", + ), + guard( + COLUMN["MEASURES_NAME"], + number, + measures_text, + "measure", + ), + ] + if statistic == "estimate": + interval = index[ + ( + geography, + sex_text, + status_text, + occupation.code, + "Confidence", + ) + ] + assert interval.row_number == number + 1 + guards.append( + guard( + COLUMN["OBS_STATUS"], + interval.row_number, + interval.values["OBS_STATUS"], + "interval status", + ) + ) + spec = { + "value_id": occupation.value_id, + "label": occupation.label, + "ordinal": ordinal, + "row_number": number, + "expected_row_header_column": COLUMN["SOC2020_FULL_NAME"], + "expected_row_header": row.values["SOC2020_FULL_NAME"], + "table_record_kind": "total" + if occupation.code is None + else "detail", + } + semantics = occupation_semantics(occupation) + if semantics is not None: + row_filters, row_constraints = semantics + spec["filters"] = row_filters + spec["constraints"] = row_constraints + spec["source_row_dimensions"] = Flow(row_filters) + spec["guard_cells"] = guards + rows.append(spec) + if not rows: + continue + record_set_id = f"ons.aps218.{period.slug}.{geography.lower()}.{sex}.{status}.{statistic}" + record_set = { + "record_set_id": record_set_id, + "provenance_class": "survey_aggregate", + "survey_instrument": APS_INSTRUMENT, + "assertion": "observation", + "record_set_spec_id": f"{record_set_id}.v1", + "source_record_id_prefix": record_set_id, + "sheet_name": period.filename, + "period_type": period.period_type, + "period": period.period, + "period_coverage": coverage, + "geography_id": geography, + "geography_level": level, + "geography_name": name, + "geography_vintage": "current", + "entity": "person", + "entity_role": "in_employment", + "domain": "employment", + "groupby_dimension": "soc2020_group", + "shared_filters": filters, + "shared_constraints": constraints, + "rows": rows, + "measures": [aps_measure(statistic, filters)], + } + record_sets.append(record_set) + dimension_labels, value_labels = declarations(record_sets) + payload = { + "schema_version": "ledger.source_package.v1", + "package_id": period.package_id, + "label": ( + "ONS Annual Population Survey (Nomis APS218): people in employment by SOC 2020 " + "major and sub-major group, sex and employment status, UK, countries and English " + f"regions, {period.title}" + ), + "dimension_labels": dimension_labels, + "dimension_value_labels": value_labels, + "artifact": { + "source_name": "ons", + "source_table": ( + f"Annual Population Survey, Nomis dataset APS218 (NM_218_1), '{NOMIS_TITLE}', " + f"{period.label}" + ), + "resource_package": "db", + "resource_directory": f"data/{period.directory}", + "manifest": "manifest.yaml", + "vintage": f"nomis_aps218_{period.slug}_revision_0", + "extracted_at": EXTRACTED_AT, + "extraction_method": ( + "Nomis API delimited text full-row parse, one source row per geography, " + "employment type, sex, occupation and measure" + ), + "parser": "delimited_text_full_rows", + "sheet_name": period.filename, + "artifact_year": period.artifact_year, + }, + "record_sets": record_sets, + } + facts = sum(len(record_set["rows"]) for record_set in record_sets) + header = f""" + ONS Annual Population Survey estimates on Nomis, dataset APS218 ('{NOMIS_TITLE}', + NM_218_1), {period.label}, for {ISSUE} ({CONSUMER}). Written by {SCRIPT} from the + pinned Nomis API response, long format, one row per geography, employment type, + sex, occupation and measure. + + People in employment, resident in the UK, its four countries and the nine English + regions, by sex (all persons, males, females) and by employment type (all, + employees, self-employed; Nomis's fourth type, 'Other', which 'includes unpaid + family worker', is not ported), for all occupations and each SOC 2020 major group + (9) and sub-major group (26), counting full-time and part-time workers and all job + types together. Nomis describes the APS as 'a residence based labour market + survey' ({NOMIS_SOURCES}). Each estimate (Nomis 'Value') is a fact of concept + {APS_CONCEPT}, statistic estimate; the half-width of its confidence interval (Nomis + 'Confidence') is a second fact, of concept {APS_INTERVAL_CONCEPT} + and statistic confidence_interval_half_width, where Nomis publishes one. + Nomis does not state the interval's level on the dataset's pages; Scottish + Government APS publications call the limits Nomis publishes 95 per cent limits. + Nomis's pages also do not say whether the occupation is that of the main job. + {facts} facts. + + Nomis rounds counts to the nearest hundred and flags every cell in OBS_STATUS: A + 'Normal Value'; F 'Estimate and confidence interval not available since the group + sample size is zero or disclosive (0-2)'; G 'Estimate and confidence interval + unreliable since the group sample size is small (3-9)'; H 'Estimate is less than + 500'. A blank cell (F, H) emits no fact. Nomis marks an interval G, and sometimes + F, while publishing its estimate: the estimate is ported with its interval's status + cell guarded, so the flag is in its lineage, and the interval emits no fact. + + Record sets are one per geography, sex, employment type and statistic, with the + occupations as rows (groupby soc2020_group). A major group's facts carry + soc2020_major_group, a sub-major group's soc2020_sub_major_group; the + all-occupations rows are the record sets' totals. The detail rows hold both levels, + so select one level by its filter and never sum across both. Row labels are SOC 2020 + names in ASHE Table 2's wording; each row's guards compare Nomis's own text. + + Parity on the published estimates, asserted by the generator: each major group's + sub-major groups add to it, the four countries to the UK and the nine regions to + England, within Nomis's rounding (50 per summed cell). The nine major groups add to + less than the all-occupations total, by at most {largest_gap:.2%} of it here; Nomis + publishes no residual category, so the difference is people in employment who are + in the total and in no major group. + + Nomis's metadata records one revision of the dataset: on 27 January 2023 it + re-released October 2021 to September 2022, 'Estimates revised due to identified + error'. That period is not ported; this one is Nomis revision 0, released + {period.released}. + """ + return render(header, payload) + + +# ---------------------------------------------------------------- 2. ASHE Table 2 + +ASHE_PAGE = ( + "https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/" + "datasets/occupation2digitsocashetable2" +) +ASHE_INSTRUMENT = "Annual Survey of Hours and Earnings" +# Sheet, the Chronicle sex and working pattern it reads, and the population its title names. +ASHE_SHEETS = ( + ("All", "all", "all", "all employee jobs"), + ("Male", "male", "all", "male employee jobs"), + ("Female", "female", "all", "female employee jobs"), + ("Full-Time", "all", "full_time", "full-time employee jobs"), + ("Part-Time", "all", "part_time", "part-time employee jobs"), + ("Male Full-Time", "male", "full_time", "male full-time employee jobs"), + ("Male Part-Time", "male", "part_time", "male part-time employee jobs"), + ("Female Full-Time", "female", "full_time", "female full-time employee jobs"), + ("Female Part-Time", "female", "part_time", "female part-time employee jobs"), +) +FIRST_ROW, LAST_ROW, NOT_CLASSIFIED_ROW = 6, 41, 42 +PERCENTILES = (10, 20, 25, 30, 40, 60, 70, 75, 80, 90) +# Ported columns: measure id, column, header row, header text. +ASHE_COLUMNS = ( + ("jobs", "C", 4, "of jobsb"), + ("median", "D", 5, "Median"), + ("mean", "F", 5, "Mean"), + *( + (f"p{percentile}", get_column_letter(8 + index), 5, percentile) + for index, percentile in enumerate(PERCENTILES) + ), +) +assert ASHE_COLUMNS[-1][1] == "Q" + + +@dataclass(frozen=True) +class AsheEdition: + slug: str + year: int + status: str + released: str + reference_date: str + reference_label: str + bulletin: str + bulletin_url: str + headline_weekly: str + headline_annual: str + member_prefix: str + correction: str + + @property + def directory(self) -> str: + return f"ons/ashe_table2_{self.slug}" + + +BULLETINS = ( + "https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/" + "bulletins/annualsurveyofhoursandearnings/" +) +ASHE_EDITIONS = ( + AsheEdition( + slug="2024_revised", + year=2024, + status="revised", + released="23 October 2025", + reference_date="2024-04-17", + reference_label="17 April 2024", + bulletin="Employee earnings in the UK: 2025", + bulletin_url=BULLETINS + "2025", + headline_weekly="£728.27 in April 2024", + headline_annual="£37,439 in April 2024", + member_prefix="", + correction=( + "ONS's corrections notice of 3 November 2025: 'For the 2024 revised table, we " + "published the 2024 provisional data instead of the revised data on release " + "day, 23 October 2025. ... We have now corrected this and the 2024 revised " + "table now contains the 2024 revised data.' The pinned zip, fetched on 4 " + "November 2026, is the corrected table." + ), + ), + AsheEdition( + slug="2025_revised", + year=2025, + status="revised", + released="22 October 2026", + reference_date="2025-04-30", + reference_label="30 April 2025", + bulletin="Employee earnings in the UK: 2026", + bulletin_url=BULLETINS + "2026", + headline_weekly="£766.60 in April 2025", + headline_annual="£39,157 in April 2025", + member_prefix="", + correction=( + "ONS's corrections notice of 19 December 2025 suppressed the 2025 provisional " + "annual pay estimates for occupations 3312, 331 and 33 for London, the South " + "East, East and the UK 'for quality reasons', to 'be reviewed for our revised " + "2025 dataset'. This revised edition prints the UK row of sub-major group 33 " + "in every sheet of Table 2.7a, with 'x' only where its CV is over 20 per cent." + ), + ), + AsheEdition( + slug="2026_provisional", + year=2026, + status="provisional", + released="22 October 2026", + reference_date="2026-04-22", + reference_label="22 April 2026", + bulletin="Employee earnings in the UK: 2026", + bulletin_url=BULLETINS + "2026", + headline_weekly="£811.20 in April 2026", + headline_annual="£40,911 in April 2026", + member_prefix="PROV - ", + correction="", + ), +) + + +@dataclass(frozen=True) +class AsheTable: + key: str # 2.1a + pay: str # weekly / annual + cv: bool + + @property + def number(self) -> str: + return f"Table 2.{self.key}" + + @property + def title(self) -> str: + return {"weekly": "Weekly pay - Gross", "annual": "Annual pay - Gross"}[ + self.pay + ] + + @property + def slug(self) -> str: + return f"{self.pay}_pay_gross" + ("_cv" if self.cv else "") + + def member(self, edition: AsheEdition) -> str: + suffix = " CV" if self.cv else "" + return ( + f"{edition.member_prefix}Occupation SOC20 (2) {self.number} " + f"{self.title} {edition.year}{suffix}.xlsx" + ) + + def package_id(self, edition: AsheEdition) -> str: + return f"ons-ashe-table2-{self.slug.replace('_', '-')}-{edition.slug.replace('_', '-')}" + + def directory(self, edition: AsheEdition) -> str: + return f"ons/ashe_table2_{self.slug}_{edition.slug}" + + +ASHE_TABLES = ( + AsheTable("1a", "weekly", False), + AsheTable("1b", "weekly", True), + AsheTable("7a", "annual", False), + AsheTable("7b", "annual", True), +) + + +def ashe_grid(edition: AsheEdition, table: AsheTable) -> tuple[str, dict]: + entry, content = pinned(edition.directory) + member = table.member(edition) + with zipfile.ZipFile(io.BytesIO(content)) as archive: + (name,) = [item for item in archive.namelist() if item.endswith(member)] + member_content = archive.read(name) + cells = source_cells_from_xlsx(member_content, metadata(name)) + grid: dict[tuple[str, int, str], object] = {} + for cell in cells: + if cell.raw_value in (None, ""): + continue + grid[ + (cell.sheet_name, cell.row_number, get_column_letter(cell.column_number)) + ] = cell.raw_value + return name, grid + + +def is_number(value: object) -> bool: + return isinstance(value, (int, float)) and not isinstance(value, bool) + + +def ashe_code(grid: dict, sheet: str, row: int) -> object: + """The code cell as published: "'11" from 2025, '11' in 2024, blank for all employees.""" + return grid.get((sheet, row, "B")) + + +def ashe_measure( + edition: AsheEdition, table: AsheTable, sheet: str, population: str, spec: tuple +) -> dict: + measure_id, column, header_row, header = spec + pay = "gross weekly pay" if table.pay == "weekly" else "gross annual pay" + concept = f"ons.ashe_gross_{table.pay}_pay" + if measure_id == "jobs": + concept = f"ons.ashe_{table.pay}_pay_jobs" + label = "Number of jobs" + what = ( + f"the number of jobs (thousand) in the {pay} estimates, which ONS calls " + "'for indicative purposes only' (footnote b)" + ) + unit, aggregation, scale = "count", "sum", 1000 + elif measure_id == "median": + label, what = f"Median {pay}", f"median {pay} (£)" + unit, aggregation, scale = "gbp", "median", None + elif measure_id == "mean": + label, what = f"Mean {pay}", f"mean {pay} (£)" + unit, aggregation, scale = "gbp", "mean", None + else: + label, what = ( + f"{header}th percentile of {pay}", + f"the {header}th percentile of {pay} (£)", + ) + unit, aggregation, scale = "gbp", "quantile", None + if table.cv: + # A concept of its own, as the APS interval has, so a CV is never read as pay. + concept = f"{concept}_coefficient_of_variation" + label = f"Coefficient of variation: {label[0].lower()}{label[1:]}" + what = f"the coefficient of variation (per cent) of {what}" + unit, scale = "percent", None + notes = ( + f"ASHE {table.number} ({edition.year} {edition.status}), sheet '{sheet}', column " + f"{column}: {what}, {population}, United Kingdom." + ) + measure = { + "measure_id": measure_id, + "label": label, + "ordinal": [item[0] for item in ASHE_COLUMNS].index(measure_id), + "column": column, + "source_column_id": measure_id, + "expected_column_header_row": header_row, + "expected_column_header": header, + "concept": concept, + "source_concept": concept, + "concept_relation": "source_label", + "concept_authority": "ons", + "concept_evidence_url": ASHE_PAGE, + "concept_evidence_notes": notes, + "unit": unit, + "aggregation": aggregation, + } + if scale is not None: + measure["value_scale"] = scale + measure["expected_cell_type"] = "number" + if aggregation == "quantile": + measure["filters"] = Flow(earnings_percentile=header) + measure["constraints"] = [ + constraint( + "earnings_percentile", header, DIMENSION_LABELS["earnings_percentile"] + ) + ] + return measure + + +def ashe_coverage(edition: AsheEdition, table: AsheTable) -> tuple[str, int, dict]: + if table.pay == "weekly": + return ( + "calendar_year", + edition.year, + { + "start_date": edition.reference_date, + "end_date": edition.reference_date, + "basis": "survey_reference", + "source_period_label": f"Pay period including {edition.reference_label}", + "notes": ( + f"ASHE {edition.year} {edition.status} estimates 'relate to the pay " + f"period that includes {edition.reference_label}' ({edition.bulletin}); " + "employees on adult rates whose pay for the survey pay-period was not " + "affected by absence (table footnote a)." + ), + }, + ) + opening = edition.year - 1 + return ( + "tax_year", + opening, + { + "start_date": f"{opening}-04-06", + "end_date": f"{edition.year}-04-05", + "basis": "tax", + "source_period_label": f"Tax year ending 5 April {edition.year}", + "notes": ( + "'Annual estimates are provided for the tax year that ended on 5th April " + f"in the reference year' (Notes sheet), here {edition.year}; employees on " + "adult rates who have been in the same job for more than a year (table " + "footnote a). ASHE samples their jobs in the pay period including " + f"{edition.reference_label}." + ), + }, + ) + + +# Sentences the package headers quote, asserted against the workbooks' notes sheets +# and footnotes (whitespace normalised: the 2024 weekly footnote has a no-break space). +NOTES_QUOTES = ( + "ASHE covers employee jobs in the United Kingdom. It does not cover the " + "self-employed, nor does it cover employees not paid during the reference period.", + "ASHE is based on a 1% sample of jobs taken from HM Revenue and Customs' Pay As You " + "Earn (PAYE) records. Consequently, individuals with more than one job may appear " + "in the sample more than once.", + "Annual estimates are provided for the tax year that ended on 5th April in the " + "reference year.", + "Estimates with a CV greater than 20% are suppressed from publication on quality " + "grounds", +) +CV_NOTES_QUOTES = ( + "The CV is the ratio of the standard error of an estimate to the estimate itself " + "and is expressed as a percentage.", + ". = unavailable", + "Estimates with a CV greater than 20% are suppressed from publication on quality " + "grounds", +) +FOOTNOTE_A = { + "weekly": "a Employees on adult rates whose pay for the survey pay-period was not " + "affected by absence.", + "annual": "a Employees on adult rates who have been in the same job for more than " + "a year.", +} +FOOTNOTE_B = ( + "b Figures for Number of Jobs are for indicative purposes only and should not be " + "considered an accurate estimate of employee job counts." +) + + +def squeeze(text: object) -> str: + return " ".join(str(text).replace("\xa0", " ").split()) + + +def sheet_text(grid: dict, sheet: str) -> str: + cells = sorted( + (row, column, value) + for (name, row, column), value in grid.items() + if name == sheet + ) + return squeeze(" ".join(str(value) for _, _, value in cells)) + + +def build_ashe(edition: AsheEdition, table: AsheTable) -> str: + member, grid = ashe_grid(edition, table) + estimates = AsheTable(table.key[0] + "a", table.pay, False) + _, estimates_grid = ashe_grid(edition, estimates) if table.cv else (member, grid) + notes = sheet_text(estimates_grid, "Notes") + for quote in NOTES_QUOTES: + assert squeeze(quote) in notes, quote + if table.cv: + cv_notes = sheet_text(grid, "CV notes") + for quote in CV_NOTES_QUOTES: + assert squeeze(quote) in cv_notes, quote + period_type, period, coverage = ashe_coverage(edition, table) + record_sets = [] + suppressed = 0 + for sheet, sex, pattern, population in ASHE_SHEETS: + title = grid[(sheet, 1, "A")] + kind = ( + f"Coefficients of variation for {table.title} (£)" + if table.cv + else f"{table.title} (£)" + ) + assert f"{kind} - For {population}a: United Kingdom" in title, title + assert title.endswith(str(edition.year)), title + for _, column, header_row, header in ASHE_COLUMNS: + assert grid[(sheet, header_row, column)] == header, (sheet, column) + assert ( + grid[(sheet, 3, "C")] == "Number" and grid[(sheet, 4, "H")] == "Percentiles" + ) + assert grid[(sheet, NOT_CLASSIFIED_ROW, "A")] == "Not Classified" + assert grid[(sheet, NOT_CLASSIFIED_ROW, "C")] == ":" + assert not any( + (sheet, NOT_CLASSIFIED_ROW, column) in grid + for _, column, _, _ in ASHE_COLUMNS[1:] + ) + assert squeeze(grid[(sheet, 43, "A")]).startswith(FOOTNOTE_A[table.pay]), sheet + assert squeeze(grid[(sheet, 44, "A")]) == FOOTNOTE_B, sheet + by_signature: dict[tuple[str, ...], list[dict]] = {} + for offset, occupation in enumerate(OCCUPATIONS): + row = FIRST_ROW + offset + text = grid[(sheet, row, "A")] + code = ashe_code(grid, sheet, row) + if occupation.code is None: + assert text == "All employees" and code is None, ( + sheet, + row, + text, + code, + ) + else: + indent = "" if occupation.major else " " + assert text == indent + occupation.label, (sheet, row, text) + assert str(code).lstrip("'") == str(occupation.code), (sheet, row, code) + ported = [] + for measure_id, column, _, _ in ASHE_COLUMNS: + value = grid.get((sheet, row, column)) + if is_number(value): + ported.append(measure_id) + continue + # 'x' is a CV over 20 per cent, in both tables; a CV table may also + # print '.', 'unavailable' in its key (the 2024 tables). + assert value == "x" or (table.cv and value == "."), ( + sheet, + row, + column, + value, + ) + suppressed += 1 + if not ported: + continue + spec = { + "value_id": occupation.value_id, + "label": occupation.label, + "ordinal": offset, + "row_number": row, + "expected_row_header_column": "A", + "expected_row_header": text, + "table_record_kind": "total" if occupation.code is None else "detail", + } + semantics = occupation_semantics(occupation) + if semantics is not None: + spec["filters"], spec["constraints"] = semantics + spec["guard_cells"] = [guard("B", row, code, "SOC 2020 code")] + by_signature.setdefault(tuple(ported), []).append(spec) + statistic = "coefficient_of_variation" if table.cv else "estimate" + filters, constraints = shared( + ("sex", sex), ("working_pattern", pattern), ("statistic", statistic) + ) + sheet_slug = sheet.lower().replace("-", "_").replace(" ", "_") + for signature, rows in by_signature.items(): + first = rows[0] + first["guard_cells"] = [guard("A", 1, title, "table title")] + first.get( + "guard_cells", [] + ) + missing = [item[0] for item in ASHE_COLUMNS if item[0] not in signature] + record_set_id = f"ons.ashe_table2.{edition.slug}.{table.slug}.{sheet_slug}" + if missing: + record_set_id += ".without_" + "_".join(missing) + record_sets.append( + { + "record_set_id": record_set_id, + "provenance_class": "survey_aggregate", + "survey_instrument": ASHE_INSTRUMENT, + "assertion": "observation", + "record_set_spec_id": f"{record_set_id}.v1", + "source_record_id_prefix": record_set_id, + "sheet_name": sheet, + "period_type": period_type, + "period": period, + "period_coverage": coverage, + **UNITED_KINGDOM, + "entity": "person", + "entity_role": "employee_job", + "domain": "employment_earnings", + "groupby_dimension": "soc2020_group", + "shared_filters": filters, + "shared_constraints": constraints, + "rows": rows, + "measures": [ + ashe_measure(edition, table, sheet, population, spec) + for spec in ASHE_COLUMNS + if spec[0] in signature + ], + } + ) + dimension_labels, value_labels = declarations(record_sets) + status = f"{edition.year} {edition.status}" + kind = "coefficients of variation for " if table.cv else "" + payload = { + "schema_version": "ledger.source_package.v1", + "package_id": table.package_id(edition), + "label": ( + f"ONS ASHE {table.number}: {kind}{table.title.lower()} by two-digit SOC 2020 " + f"occupation, sex and working pattern, United Kingdom, {status}" + ), + "dimension_labels": dimension_labels, + "dimension_value_labels": value_labels, + "artifact": { + "source_name": "ons", + "source_table": ( + f"ASHE Table 2 (occupation by two-digit SOC), {table.number} " + f"{'Coefficients of variation for ' if table.cv else ''}{table.title} (£), " + f"United Kingdom, {status}" + ), + "resource_package": "db", + "resource_directory": f"data/{edition.directory}", + "manifest": "manifest.yaml", + "vintage": f"ashe_table2_{edition.slug}", + "extracted_at": EXTRACTED_AT, + "extraction_method": f"ZIP member xlsx used-range cell parse ({member})", + "parser": "zip_xlsx_used_range", + "archive_member": member, + "artifact_year": edition.year, + }, + "record_sets": record_sets, + } + facts = sum(len(rs["rows"]) * len(rs["measures"]) for rs in record_sets) + other = AsheTable( + table.key[0] + ("a" if table.cv else "b"), table.pay, not table.cv + ) + if table.cv: + content = f""" + The coefficient of variation (CV) ONS publishes for each estimate in + {other.number} ({other.package_id(edition)}): 'The CV is the ratio of the + standard error of an estimate to the estimate itself and is expressed as a + percentage' (CV notes). Each fact takes its estimate's concept with the suffix + _coefficient_of_variation, so a CV is never read as pay or jobs, and keeps the + estimate's aggregation and dimensions, with statistic coefficient_of_variation + and unit percent. ONS colours + the estimates by these CVs (5 per cent or less 'precise', over 5 to 10 + 'reasonably precise', over 10 to 20 'acceptable') and suppresses those over 20; + Chronicle reads no colours, so these facts carry the bands. + """ + marks = ( + "A cell marked 'x' (CV over 20 per cent; the estimate is suppressed) or '.' " + "('unavailable' in the CV key) emits no fact." + ) + else: + content = f""" + The number of jobs (thousand; 'for indicative purposes only and should not be + considered an accurate estimate of employee job counts', footnote b), the + median, the mean and the 10th to 90th percentiles of {table.pay} pay, with + statistic estimate; the annual percentage changes are not ported. ONS colours + each estimate by its coefficient of variation; Chronicle reads no colours, and + {other.number} ({other.package_id(edition)}) carries the CVs. + """ + marks = ( + "A cell ONS suppresses ('x': 'Estimates with a CV greater than 20% are " + "suppressed from publication on quality grounds') emits no fact." + ) + correction = ( + edition.correction + if (table.pay == "annual" or edition.slug == "2024_revised") + else "" + ) + headline = ( + edition.headline_weekly if table.pay == "weekly" else edition.headline_annual + ) + parity = ( + "" + if table.cv + else f""" + Parity: the full-time all-employees median (sheet 'Full-Time', row 6) is the + figure {edition.bulletin} ({edition.bulletin_url}) prints, {headline}, to the + bulletin's rounding; tests/test_source_uk_occupation_facts.py checks it. + """ + ) + header = f""" + ONS Annual Survey of Hours and Earnings (ASHE) Table 2, occupation by two-digit SOC + 2020, {table.number} '{kind}{table.title} (£)', United Kingdom, {status} (released + {edition.released}), for {ISSUE} ({CONSUMER}). Written by {SCRIPT} from the member + '{member}' of the pinned zip. + + Every sheet but the notes is ported: all employee jobs, male, female, full-time, + part-time, and the four sex by working-pattern sheets. Each sheet's 'All employees' + row is its record sets' total, and its rows for the nine SOC 2020 major groups and + 26 sub-major groups carry soc2020_major_group or soc2020_sub_major_group (groupby + soc2020_group). The detail rows hold both levels, so select one level by its filter + and never sum across both. {content} + + {marks} A row with such a cell sits in a record set whose measures leave that + column out ('without_p90' and the like), so the row's other cells are ported. The + 'Not Classified' row prints ':' ('not applicable') and emits no fact. {suppressed} + marked cells are not ported; {facts} facts. + + ASHE counts employee jobs, not people: it 'is based on a 1% sample of jobs taken + from HM Revenue and Customs' Pay As You Earn (PAYE) records', so 'individuals with + more than one job may appear in the sample more than once', and it 'does not cover + the self-employed, nor does it cover employees not paid during the reference + period' (Notes sheet). + + {coverage["notes"]} {correction} + {parity} + """ + return render(header, payload) + + +# ---------------------------------------------------------------- the packages + +BUILDERS = { + **{ + period.directory: (lambda period=period: build_aps(period)) + for period in APS_PERIODS + }, + **{ + table.directory(edition): ( + lambda edition=edition, table=table: build_ashe(edition, table) + ) + for edition in ASHE_EDITIONS + for table in ASHE_TABLES + }, +} + + +def main() -> int: + parser = argparse.ArgumentParser(description=__doc__.splitlines()[0]) + parser.add_argument( + "--check", + action="store_true", + help="Compare the generated YAML with the committed files instead of writing.", + ) + args = parser.parse_args() + stale = [] + for directory, build in BUILDERS.items(): + text = build() + path = PACKAGES / directory / "source_package.yaml" + if args.check: + if not path.exists() or path.read_text(encoding="utf-8") != text: + stale.append(directory) + else: + write(directory, text) + for directory in stale: + print(f"stale: packages/{directory}/source_package.yaml") + return 1 if stale else 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/test_chronicle_bundle.py b/tests/test_chronicle_bundle.py index c4b5afb7..fd03791b 100644 --- a/tests/test_chronicle_bundle.py +++ b/tests/test_chronicle_bundle.py @@ -548,7 +548,11 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): # statistics add 544 person facts. chronicle#397 drops the 427 March 2026 # EFO facts whose line and year the October 2026 packages also publish: # receipts 239, expenditure 141, economy 30, aggregates 17. - "fact_count": 1662950, + # chronicle#407 adds 73,039 person facts from 15 ONS packages: Nomis + # APS218's employment by SOC 2020 group (24,956) and ASHE Table 2's pay + # and CVs by two-digit SOC (48,083). Its geography, period and entity + # keys already exist, and no key is duplicated. + "fact_count": 1735989, # The same change adds 82,064 geography keys: 46,363 Scottish 2022 # output areas (UV404), 35,673 LSOA-level keys from the DESNZ LSOA # workbooks (Scotland's data zones already exist), the 26 Northern @@ -604,8 +608,9 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): # (PolicyEngine/microcosm#1381) adds one. PolicyEngine/microcosm#1415 # adds three, and chronicle#393 the five OBR October 2026 EFO packages. # PolicyEngine/uk-autumn-budget-dashboard-2026#316 adds HMRC's benefits in - # kind statistics. G8-x adds the September 2026 QES vintage. - "source_package_count": 443, + # kind statistics. G8-x adds the September 2026 QES vintage. chronicle#407 + # adds the three APS218 and twelve ASHE Table 2 packages. + "source_package_count": 458, # 1 semantic-duplicate warning, plus the publisher wording Chronicle # keeps as published: values two packages word differently, groupby # rows that drift inside one package (chronicle#265, #266), and the @@ -657,14 +662,14 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): if row_count == 1: assert row["aggregate_fact_key"].startswith("ledger.aggregate_fact.v2:") assert row["semantic_fact_key"].startswith("ledger.semantic_fact.v2:") - assert row_count == 1662950 + assert row_count == 1735989 assert provenance_classes <= { "administrative", "census", "model_output", "survey_aggregate", } - assert source_packages["source_package_count"] == 443 + assert source_packages["source_package_count"] == 458 assert source_packages["skipped_source_count"] == 24 assert sorted(item["source"] for item in source_packages["skipped_sources"]) == [ "census-acs-s0101-congressional-district-age-2024", @@ -692,7 +697,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): "jct-obbba-revenue-estimates-2025", "jct-tax-expenditures-2024", ] - assert coverage["fact_count"] == 1662950 + assert coverage["fact_count"] == 1735989 assert coverage["counts"]["by_source"] == { "bea": 446, "bfp_economic_outlook": 5, @@ -734,7 +739,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): "obr": 4539, "ofgem": 3640, "onem_rva_unemployment": 1, - "ons": 347275, + "ons": 420314, "onss_contributions": 1, "opgroeien_groeipakket": 11, "orr": 99, @@ -758,7 +763,8 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): "welshgov": 9570, } table_counts = coverage["counts"]["by_source_table"] - assert len(table_counts) == 385 + # chronicle#407 adds 15 source tables, one per package. + assert len(table_counts) == 400 assert ( table_counts[ "hmrc:Benefits in kind statistics: July 2026, Tables 1 to 4: company car " @@ -2362,6 +2368,20 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): "fiscal_year:2030": 65, }.items(): expected_period_counts[key] -= count + # chronicle#407: APS218's April-March and calendar 2025 periods, ASHE weekly pay + # by survey year and ASHE annual pay by the tax year it covers (estimates and + # CVs together). + for key, count in { + "fiscal_year:2024": 8306, + "calendar_year:2025": 8320 + 4053 + 4053, + "fiscal_year:2025": 8330, + "calendar_year:2024": 4046 + 4098, + "calendar_year:2026": 4056 + 4056, + "tax_year:2023": 3937 + 4020, + "tax_year:2024": 3934 + 3934, + "tax_year:2025": 3948 + 3948, + }.items(): + expected_period_counts[key] += count assert coverage["counts"]["by_period"] == expected_period_counts # country:NZ: 330 WFF (#209) + 5 national population (#211) + 27 Treasury # (#321) + 3,522 IRD I1 (#318) + 510 IRD I2 (#210) + 103 MSD (#319) @@ -2425,13 +2445,15 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): # CPI gas (23) series, and the March EFO's 2024-25 VED outturn (1). HMRC's # benefits in kind statistics add 505 (all but Table 4's regions; # PolicyEngine/uk-autumn-budget-dashboard-2026#316), and chronicle#397 drops - # 343 March 2026 EFO facts. - assert coverage["counts"]["by_geography"]["country:K02000001"] == 41080 + # 343 March 2026 EFO facts. chronicle#407 adds 49,991: every ASHE Table 2 + # fact (48,083) and APS218's UK rows (1,908). + assert coverage["counts"]["by_geography"]["country:K02000001"] == 91071 # chronicle#343 adds the 63 OBR surcharge-costing facts for England, and # chronicle#358 ONS's 606 single-year residence-type rows for England. GSGB # 2025's England participation rows add 40. ISA Tables 9.9 and 9.12's - # England rows add 20 (PolicyEngine/microcosm#1415). - assert coverage["counts"]["by_geography"]["country:E92000001"] == 6828 + # England rows add 20 (PolicyEngine/microcosm#1415). APS218's England rows add + # 1,902 (chronicle#407). + assert coverage["counts"]["by_geography"]["country:E92000001"] == 8730 # Great Britain gains HBAI's FYE 1995-2002 rows (32), Move to UC (80), the # table 4.9 lines DWP counts over Great Britain (56) and BUS04 (2): +170. # chronicle#381's 1,435 Gambling Commission facts, the National Lottery's @@ -2487,7 +2509,8 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): # firms +8 (EKED). HMRC's benefits in kind statistics add 544 people # (PolicyEngine/uk-autumn-budget-dashboard-2026#316). # chronicle#397's March 2026 EFO drop: people -338, government -47 and - # institutional sectors -42. + # institutional sectors -42. chronicle#407 adds 73,039 people (APS218's + # employment estimates and ASHE Table 2's pay by occupation). assert coverage["counts"]["by_entity"] == { "benefit_unit": 33645, "dwelling": 274727, @@ -2497,7 +2520,7 @@ def test_build_bundle_writes_merged_consumer_contract(tmp_path): "household": 676547, "institutional_sector": 8877, "pension_plan": 2, - "person": 598990, + "person": 672029, "return": 14952, "social_protection_scheme": 36, "tax_unit": 45268, diff --git a/tests/test_dimension_value_register.py b/tests/test_dimension_value_register.py index fbe67461..b86844fa 100644 --- a/tests/test_dimension_value_register.py +++ b/tests/test_dimension_value_register.py @@ -128,7 +128,8 @@ def test_the_chosen_labels_are_the_registers_labels(): script = _script() register = json.loads(_REGISTER.read_text(encoding="utf-8"))["labels"] - assert len(script.CHOSEN_LABELS) == 47 + # chronicle#407 adds soc2020_major_group=3, SOC 2020's own name for the group. + assert len(script.CHOSEN_LABELS) == 48 for (dimension_id, value_id), label in script.CHOSEN_LABELS.items(): assert register[dimension_id][value_id] == label diff --git a/tests/test_source_uk_occupation_facts.py b/tests/test_source_uk_occupation_facts.py new file mode 100644 index 00000000..11635b4f --- /dev/null +++ b/tests/test_source_uk_occupation_facts.py @@ -0,0 +1,638 @@ +"""UK occupation facts for PolicyEngine/chronicle#407 (PolicyEngine/microcosm#1490). + +Checks the packages scripts/build_uk_occupation_packages.py writes: the Nomis APS218 +employment estimates by SOC 2020 major and sub-major group, and ASHE Table 2's weekly +and annual pay by two-digit SOC with their coefficients of variation. Values are +re-read from the pinned files with the csv module and openpyxl, and each fact's cell is +found from the fact's own geography and dimensions, not from the package's coordinates. +""" + +from __future__ import annotations + +import csv +import hashlib +import io +import re +import runpy +import zipfile +from collections import Counter +from pathlib import Path + +import openpyxl +import pytest +import yaml + +from chronicle.bundle import UK_BUNDLE_SOURCES +from chronicle.consumer_contract import ( + build_semantic_fact_key, + validate_consumer_fact_contract, +) +from chronicle.core import validate_facts +from chronicle.source_package import ( + SOURCE_PACKAGE_ALIASES, + load_source_package, + validate_source_package, +) + +ROOT = Path(__file__).resolve().parents[1] +DATA = ROOT / "db/data/ons" + +APS_PERIODS = { + # package id: (directory, file year, period type, period, start, end, facts) + "ons-aps218-occupation-apr-2024-mar-2025": ( + "aps218_occupation_apr_2024_mar_2025", + 2025, + "fiscal_year", + 2024, + "2024-04-01", + "2025-03-31", + 8306, + ), + "ons-aps218-occupation-jan-dec-2025": ( + "aps218_occupation_jan_dec_2025", + 2025, + "calendar_year", + 2025, + "2025-01-01", + "2025-12-31", + 8320, + ), + "ons-aps218-occupation-apr-2025-mar-2026": ( + "aps218_occupation_apr_2025_mar_2026", + 2026, + "fiscal_year", + 2025, + "2025-04-01", + "2026-03-31", + 8330, + ), +} +ASHE_EDITIONS = { + # edition: (year, survey reference date, zip, member prefix) + "2024_revised": (2024, "2024-04-17", "ashetable22024revised.zip", ""), + "2025_revised": (2025, "2025-04-30", "ashetable22025revised.zip", ""), + "2026_provisional": ( + 2026, + "2026-04-22", + "ashetable22026provisional.zip", + "PROV - ", + ), +} +ASHE_TABLES = { + # table slug: (Table number, title, CV) + "weekly_pay_gross": ("2.1a", "Weekly pay - Gross", False), + "weekly_pay_gross_cv": ("2.1b", "Weekly pay - Gross", True), + "annual_pay_gross": ("2.7a", "Annual pay - Gross", False), + "annual_pay_gross_cv": ("2.7b", "Annual pay - Gross", True), +} +ASHE_FACTS = { + ("2024_revised", "weekly_pay_gross"): 4046, + ("2024_revised", "weekly_pay_gross_cv"): 4098, + ("2024_revised", "annual_pay_gross"): 3937, + ("2024_revised", "annual_pay_gross_cv"): 4020, + ("2025_revised", "weekly_pay_gross"): 4053, + ("2025_revised", "weekly_pay_gross_cv"): 4053, + ("2025_revised", "annual_pay_gross"): 3934, + ("2025_revised", "annual_pay_gross_cv"): 3934, + ("2026_provisional", "weekly_pay_gross"): 4056, + ("2026_provisional", "weekly_pay_gross_cv"): 4056, + ("2026_provisional", "annual_pay_gross"): 3948, + ("2026_provisional", "annual_pay_gross_cv"): 3948, +} + + +def _ashe_package_id(edition: str, table: str) -> str: + return f"ons-ashe-table2-{table.replace('_', '-')}-{edition.replace('_', '-')}" + + +PACKAGE_IDS = ( + *APS_PERIODS, + *(_ashe_package_id(edition, table) for edition, table in ASHE_FACTS), +) + +NOMIS_SEX = {"all": "All persons", "male": "Males", "female": "Females"} +NOMIS_ETYPE = {"all": "Total", "employee": "Employee", "self_employed": "Self-employed"} +NOMIS_MEASURES = {"estimate": "Value", "confidence_interval_half_width": "Confidence"} +COUNTRIES = ("E92000001", "W92000004", "S92000003", "N92000002") +REGIONS = tuple(f"E1200000{index}" for index in range(1, 10)) +MAJOR_GROUPS = tuple(range(1, 10)) +SUB_MAJOR_GROUPS = ( + *(11, 12, 21, 22, 23, 24, 31, 32, 33, 34, 35, 41, 42), + *(51, 52, 53, 54, 61, 62, 63, 71, 72, 81, 82, 91, 92), +) +ASHE_SHEETS = { + ("all", "all"): "All", + ("male", "all"): "Male", + ("female", "all"): "Female", + ("all", "full_time"): "Full-Time", + ("all", "part_time"): "Part-Time", + ("male", "full_time"): "Male Full-Time", + ("male", "part_time"): "Male Part-Time", + ("female", "full_time"): "Female Full-Time", + ("female", "part_time"): "Female Part-Time", +} +PERCENTILE_COLUMNS = dict(zip((10, 20, 25, 30, 40, 60, 70, 75, 80, 90), range(8, 18))) +ASHE_PORTED_COLUMNS = (3, 4, 6, *PERCENTILE_COLUMNS.values()) + + +@pytest.fixture(scope="module") +def built(): + packages = {} + for package_id in PACKAGE_IDS: + package = load_source_package(package_id) + year = package.artifact.artifact_year + packages[package_id] = (package, year, package.build_facts(year)) + return packages + + +def _occupation(fact) -> int | None: + filters = fact.filters + assert not ( + "soc2020_major_group" in filters and "soc2020_sub_major_group" in filters + ) + return filters.get("soc2020_major_group", filters.get("soc2020_sub_major_group")) + + +# ---------------------------------------------------------------- registration + + +def test_packages_validate_register_and_carry_no_anchors(built): + for package_id, (package, year, facts) in built.items(): + report = validate_source_package(package.package_path, year=year) + assert report.valid, report.to_dict() + assert not report.warnings + assert report.counts["source_record_count"] == len(facts) + relative = package.package_path.relative_to(ROOT / "packages") + assert SOURCE_PACKAGE_ALIASES[package_id] == relative + assert package_id in UK_BUNDLE_SOURCES + text = (package.package_path / "source_package.yaml").read_text( + encoding="utf-8" + ) + assert not re.search(r"(:|^\s*-)\s+[&*][A-Za-z_][\w-]*\s*$", text, re.M) + assert validate_facts(facts).valid + every = [fact for _, _, facts in built.values() for fact in facts] + keys = Counter(build_semantic_fact_key(fact) for fact in every) + assert max(keys.values()) == 1 + assert len(every) == sum(row[-1] for row in APS_PERIODS.values()) + sum( + ASHE_FACTS.values() + ) + + +def test_generator_reproduces_the_committed_packages(): + generator = runpy.run_path(str(ROOT / "scripts/build_uk_occupation_packages.py")) + builders = generator["BUILDERS"] + assert len(builders) == len(PACKAGE_IDS) + for directory, build in builders.items(): + committed = ROOT / "packages" / directory / "source_package.yaml" + assert build() == committed.read_text(encoding="utf-8"), directory + + +def _manifests() -> list[Path]: + return sorted( + [DATA / row[0] / "manifest.yaml" for row in APS_PERIODS.values()] + + [ + DATA / f"ashe_table2_{edition}" / "manifest.yaml" + for edition in ASHE_EDITIONS + ] + ) + + +def test_manifests_pin_bytes_licence_and_the_r2_key(): + for path in _manifests(): + manifest = yaml.safe_load(path.read_text(encoding="utf-8")) + assert manifest["source_id"] == "ons" + assert manifest["license"] == "Open Government Licence v3.0" + assert manifest["license_verified_at"] == "2026-11-04" + ((year, entry),) = manifest["files"].items() + content = (path.parent / entry["filename"]).read_bytes() + assert hashlib.sha256(content).hexdigest() == entry["sha256"] + assert len(content) == entry["size_bytes"] + host = ( + "www.nomisweb.co.uk" if "aps218" in path.parent.name else "www.ons.gov.uk" + ) + assert entry["source_url"].startswith(f"https://{host}/") + # `chronicle publish-raw` uploaded the bytes and wrote storage.r2, and + # `chronicle verify-raw` read each object back. + key = ( + f"raw/uk/ons/{manifest['package_id']}/{year}/{entry['sha256']}/" + f"{entry['filename']}" + ) + assert entry["storage"]["r2"] == { + "provider": "r2", + "bucket": "ledger-raw", + "key": key, + "uri": f"r2://ledger-raw/{key}", + } + aps = yaml.safe_load(_manifests()[0].read_text(encoding="utf-8")) + ((_, entry),) = aps["files"].items() + assert entry["nomis_dataset_last_revised"] == "2023-01-27 10:00:00" + + +def test_consumer_contract_is_valid(built): + for package_id, (_, _, facts) in built.items(): + report = validate_consumer_fact_contract(facts) + assert report.valid, (package_id, report.errors[:3]) + assert all(fact.source.raw_r2_uri for fact in facts), package_id + + +def test_a_concept_and_its_dimensions_select_one_fact(built): + """An interval or a CV never shares its estimate's concept. + + A reader that selects by concept, aggregation, period, geography and every + dimension but ``statistic`` gets exactly one fact, so it can neither sum an + estimate with its interval or CV nor keep the wrong one. + """ + keys = Counter() + for _, _, facts in built.values(): + for fact in facts: + dimensions = tuple( + sorted((k, v) for k, v in fact.filters.items() if k != "statistic") + ) + keys[ + ( + fact.measure.concept, + fact.aggregation.method, + fact.period.type, + fact.period.value, + fact.geography.id, + dimensions, + ) + ] += 1 + statistic = fact.filters["statistic"] + concept = fact.measure.concept + if statistic == "confidence_interval_half_width": + assert ( + concept + == "ons.aps_people_in_employment_confidence_interval_half_width" + ) + elif statistic == "coefficient_of_variation": + assert concept.endswith("_coefficient_of_variation"), concept + else: + assert statistic == "estimate" + assert not concept.endswith(("_half_width", "_of_variation")), concept + assert max(keys.values()) == 1 + + +# ---------------------------------------------------------------- 1. Nomis APS218 + + +def _aps_csv(directory: str) -> dict[tuple, dict]: + manifest = yaml.safe_load((DATA / directory / "manifest.yaml").read_text()) + ((_, entry),) = manifest["files"].items() + text = (DATA / directory / entry["filename"]).read_text(encoding="utf-8-sig") + rows = {} + for row in csv.DictReader(io.StringIO(text)): + name = row["SOC2020_FULL_NAME"] + code = None if name == "Total" else int(name.split(" : ")[0]) + key = ( + row["GEOGRAPHY_CODE"], + row["C_SEX_NAME"], + row["ETYPE_NAME"], + code, + row["MEASURES_NAME"], + ) + assert key not in rows + rows[key] = row + return rows + + +def _aps_key(fact) -> tuple: + return ( + fact.geography.id, + NOMIS_SEX[fact.filters["sex"]], + NOMIS_ETYPE[fact.filters["employment_status"]], + _occupation(fact), + NOMIS_MEASURES[fact.filters["statistic"]], + ) + + +def test_aps_facts_are_the_published_cells_and_only_those(built): + for package_id, row in APS_PERIODS.items(): + directory, _, period_type, period, start, end, count = row + _, _, facts = built[package_id] + assert len(facts) == count + published = _aps_csv(directory) + numeric = { + key + for key, cell in published.items() + if cell["OBS_VALUE"] not in ("", None) + } + seen = set() + for fact in facts: + key = _aps_key(fact) + cell = published[key] + assert cell["OBS_STATUS"] == "A", key + assert fact.value == int(cell["OBS_VALUE"]), key + assert fact.measure.concept == ( + "ons.aps_people_in_employment" + if fact.filters["statistic"] == "estimate" + else "ons.aps_people_in_employment_confidence_interval_half_width" + ) + assert (fact.measure.unit, fact.aggregation.method) == ("count", "sum") + assert fact.provenance_class == "survey_aggregate" + assert fact.survey_instrument == "Annual Population Survey" + assert (fact.entity.name, fact.entity.role) == ("person", "in_employment") + assert (fact.period.type, fact.period.value) == (period_type, period) + assert (fact.period_coverage.start_date, fact.period_coverage.end_date) == ( + start, + end, + ) + assert fact.period_coverage.source_period_label == cell["DATE_NAME"] + assert key not in seen + seen.add(key) + assert seen == numeric + # Blank cells are Nomis's suppressions: F (sample of 0 to 2) and H (under 500) + # for estimates; F and G for intervals Nomis withholds. + blank = Counter( + (key[-1], cell["OBS_STATUS"]) + for key, cell in published.items() + if key not in numeric + ) + assert set(blank) <= { + ("Value", "F"), + ("Value", "H"), + ("Confidence", "F"), + ("Confidence", "G"), + } + + +def test_aps_estimates_without_an_interval_carry_its_status(built): + package, year, facts = built["ons-aps218-occupation-apr-2024-mar-2025"] + published = _aps_csv(APS_PERIODS[package.package_id][0]) + specs = { + f"{record_set.source_record_id_prefix}.{row.value_id}.{measure.measure_id}": row + for record_set in package.build_source_record_set_specs(year) + for row in record_set.rows + for measure in record_set.measures + } + withheld = Counter() + for fact in facts: + if fact.filters["statistic"] != "estimate": + continue + interval = published[(*_aps_key(fact)[:-1], "Confidence")] + (status_guard,) = [ + guard + for guard in specs[fact.source_record_id].guard_cells + if guard.column == "L" + ] + assert status_guard.row == specs[fact.source_record_id].row_number + 1 + assert status_guard.expected_value == interval["OBS_STATUS"] + withheld[interval["OBS_STATUS"]] += 1 + # 314 estimates Nomis marks unreliable (G) and 78 whose interval it marks F. + assert withheld == {"A": 3957, "G": 314, "F": 78} + + +def _aps_estimates(facts) -> dict[tuple, int]: + return { + ( + fact.geography.id, + fact.filters["sex"], + fact.filters["employment_status"], + _occupation(fact), + ): fact.value + for fact in facts + if fact.filters["statistic"] == "estimate" + } + + +def _within_rounding(parts: list, whole) -> bool | None: + """Nomis rounds every count to the nearest hundred: 50 per summed cell.""" + if whole is None or None in parts: + return None + return abs(sum(parts) - whole) <= 50 * (len(parts) + 1) + + +def test_aps_parity_sub_major_groups_countries_and_regions(built): + for package_id in APS_PERIODS: + estimates = _aps_estimates(built[package_id][2]) + checked = Counter() + for (geography, sex, status, code), _ in estimates.items(): + if code is None or code > 9: + continue + parts = [ + estimates.get((geography, sex, status, sub)) + for sub in SUB_MAJOR_GROUPS + if sub // 10 == code + ] + result = _within_rounding(parts, estimates[(geography, sex, status, code)]) + assert result is not False, (geography, sex, status, code) + checked["sub_major"] += result is True + for sex in NOMIS_SEX: + for status in NOMIS_ETYPE: + for code in (None, *MAJOR_GROUPS, *SUB_MAJOR_GROUPS): + uk = estimates.get(("K02000001", sex, status, code)) + countries = [ + estimates.get((c, sex, status, code)) for c in COUNTRIES + ] + result = _within_rounding(countries, uk) + assert result is not False, ("countries", sex, status, code) + checked["countries"] += result is True + england = estimates.get(("E92000001", sex, status, code)) + regions = [estimates.get((r, sex, status, code)) for r in REGIONS] + result = _within_rounding(regions, england) + assert result is not False, ("regions", sex, status, code) + checked["regions"] += result is True + assert checked["sub_major"] > 900, (package_id, checked) + assert checked["countries"] > 250 and checked["regions"] > 250, checked + + +def test_aps_parity_major_groups_and_the_total(built): + """The total is the major groups' sum plus people in no major group. + + Nomis publishes no residual category, and the nine major groups add to slightly + less than the all-occupations total: never more, beyond rounding, and never by + more than 1 per cent of it. + """ + for package_id in APS_PERIODS: + estimates = _aps_estimates(built[package_id][2]) + gaps = [] + for (geography, sex, status, code), total in estimates.items(): + if code is not None: + continue + majors = [ + estimates.get((geography, sex, status, major)) for major in MAJOR_GROUPS + ] + if None in majors: + continue + gap = total - sum(majors) + assert -50 * 10 <= gap <= 0.01 * total, (geography, sex, status, gap) + gaps.append(gap / total) + assert len(gaps) > 120 + uk = estimates[("K02000001", "all", "all", None)] + majors = sum( + estimates[("K02000001", "all", "all", major)] for major in MAJOR_GROUPS + ) + assert 0 < uk - majors < 0.002 * uk + + +# ---------------------------------------------------------------- 2. ASHE Table 2 + + +def _ashe_workbook(edition: str, table: str): + year, _, zip_name, prefix = ASHE_EDITIONS[edition] + number, title, cv = ASHE_TABLES[table] + member = ( + f"{prefix}Occupation SOC20 (2) Table {number} {title} {year}" + f"{' CV' if cv else ''}.xlsx" + ) + with zipfile.ZipFile(DATA / f"ashe_table2_{edition}" / zip_name) as archive: + content = archive.read(member) + return openpyxl.load_workbook(io.BytesIO(content), data_only=True) + + +def _ashe_row(sheet, code: int | None) -> int: + for row in range(6, 42): + published = sheet.cell(row, 2).value + if code is None and sheet.cell(row, 1).value == "All employees": + return row + if code is not None and str(published or "").lstrip("'") == str(code): + return row + raise AssertionError(code) + + +def _ashe_column(fact) -> int: + concept = fact.measure.concept.removesuffix("_coefficient_of_variation") + if concept.endswith("_pay_jobs"): + return 3 + if fact.aggregation.method == "median": + return 4 + if fact.aggregation.method == "mean": + return 6 + assert fact.aggregation.method == "quantile" + return PERCENTILE_COLUMNS[fact.filters["earnings_percentile"]] + + +def test_ashe_facts_are_the_published_cells_and_only_those(built): + for (edition, table), count in ASHE_FACTS.items(): + _, _, facts = built[_ashe_package_id(edition, table)] + assert len(facts) == count + year, reference, _, _ = ASHE_EDITIONS[edition] + cv = ASHE_TABLES[table][2] + pay = "weekly" if table.startswith("weekly") else "annual" + workbook = _ashe_workbook(edition, table) + seen = set() + for fact in facts: + sheet_name = ASHE_SHEETS[ + (fact.filters["sex"], fact.filters["working_pattern"]) + ] + sheet = workbook[sheet_name] + row, column = _ashe_row(sheet, _occupation(fact)), _ashe_column(fact) + published = sheet.cell(row, column).value + jobs = column == 3 + expected = published * 1000 if jobs and not cv else published + assert fact.value == pytest.approx(expected), (sheet_name, row, column) + assert fact.filters["statistic"] == ( + "coefficient_of_variation" if cv else "estimate" + ) + unit = "percent" if cv else ("count" if jobs else "gbp") + assert fact.measure.unit == unit + concept = ( + f"ons.ashe_{pay}_pay_jobs" if jobs else f"ons.ashe_gross_{pay}_pay" + ) + if cv: + concept += "_coefficient_of_variation" + assert fact.measure.concept == concept + assert fact.geography.id == "K02000001" + assert (fact.entity.name, fact.entity.role) == ("person", "employee_job") + assert fact.survey_instrument == "Annual Survey of Hours and Earnings" + if pay == "weekly": + assert (fact.period.type, fact.period.value) == ("calendar_year", year) + assert fact.period_coverage.start_date == reference + assert fact.period_coverage.end_date == reference + else: + assert (fact.period.type, fact.period.value) == ("tax_year", year - 1) + assert fact.period_coverage.start_date == f"{year - 1}-04-06" + assert fact.period_coverage.end_date == f"{year}-04-05" + assert (sheet_name, row, column) not in seen + seen.add((sheet_name, row, column)) + numeric = set() + marks = Counter() + for sheet_name in ASHE_SHEETS.values(): + sheet = workbook[sheet_name] + for row in range(6, 42): + for column in ASHE_PORTED_COLUMNS: + value = sheet.cell(row, column).value + if isinstance(value, (int, float)): + numeric.add((sheet_name, row, column)) + else: + marks[value] += 1 + assert sheet.cell(42, 1).value == "Not Classified" + assert sheet.cell(42, 3).value == ":" + assert seen == numeric + assert set(marks) <= ({"x", "."} if cv else {"x"}), marks + + +# The bulletins' headline medians for full-time employees, which they print to the +# penny (weekly) and the pound (annual); Table 2 prints one decimal place. +BULLETIN_HEADLINES = { + # edition: (bulletin, weekly, annual) + "2024_revised": ("Employee earnings in the UK: 2025", 728.27, 37439), + "2025_revised": ("Employee earnings in the UK: 2026", 766.60, 39157), + "2026_provisional": ("Employee earnings in the UK: 2026", 811.20, 40911), +} + + +def _headline(built, edition: str, table: str): + _, _, facts = built[_ashe_package_id(edition, table)] + (fact,) = [ + fact + for fact in facts + if fact.filters["sex"] == "all" + and fact.filters["working_pattern"] == "full_time" + and _occupation(fact) is None + and fact.aggregation.method == "median" + ] + return fact + + +def test_ashe_parity_full_time_median_is_the_bulletin_headline(built): + for edition, (_, weekly, annual) in BULLETIN_HEADLINES.items(): + assert abs(_headline(built, edition, "weekly_pay_gross").value - weekly) <= 0.05 + assert abs(_headline(built, edition, "annual_pay_gross").value - annual) <= 0.5 + + +def test_ashe_2025_revised_prints_the_police_group_annual_pay(built): + """ONS suppressed occupation 33's 2025 provisional annual pay for the UK + (corrections notice of 19 December 2025); the revised edition prints it.""" + _, _, facts = built[_ashe_package_id("2025_revised", "annual_pay_gross")] + sheets = { + ASHE_SHEETS[(fact.filters["sex"], fact.filters["working_pattern"])] + for fact in facts + if fact.filters.get("soc2020_sub_major_group") == 33 + and fact.aggregation.method == "median" + } + assert sheets == set(ASHE_SHEETS.values()) + + +def test_ashe_cvs_describe_the_estimates_they_sit_beside(built): + for edition in ASHE_EDITIONS: + for pay in ("weekly", "annual"): + estimates = built[_ashe_package_id(edition, f"{pay}_pay_gross")][2] + cvs = built[_ashe_package_id(edition, f"{pay}_pay_gross_cv")][2] + + def key(fact): + return ( + fact.measure.concept.removesuffix("_coefficient_of_variation"), + fact.aggregation.method, + tuple( + sorted( + (name, value) + for name, value in fact.filters.items() + if name != "statistic" + ) + ), + ) + + estimate_keys = {key(fact) for fact in estimates} + cv_keys = {key(fact) for fact in cvs} + # From 2025 ONS marks the same cells 'x' in both tables. The 2024 CV + # tables print the CV of each estimate suppressed for a CV over 20 per + # cent, and '.' ('unavailable') for a few published estimates. + suppressed, unavailable = { + "2024_revised": {"weekly": (53, 1), "annual": (85, 2)}[pay], + }.get(edition, (0, 0)) + assert len(cv_keys - estimate_keys) == suppressed + assert len(estimate_keys - cv_keys) == unavailable + for cv in cvs: + if key(cv) not in estimate_keys: + assert cv.value > 20